diff --git a/ai/LocationAnalyzer.ipynb b/ai/LocationAnalyzer.ipynb new file mode 100644 index 00000000..f6364665 --- /dev/null +++ b/ai/LocationAnalyzer.ipynb @@ -0,0 +1,44678 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import sys\n", + "import os\n", + "import shutil\n", + "from sklearn.metrics import silhouette_score" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

데이터 전처리

" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def read_text_files_to_dataframe(folder_path):\n", + " \n", + " latitude = []\n", + " longitude = []\n", + " date = []\n", + " time = []\n", + "\n", + " # 폴더 내의 모든 텍스트 파일을 읽음\n", + " for filename in os.listdir(folder_path):\n", + " if filename.endswith(\".txt\"):\n", + " file_path = os.path.join(folder_path, filename)\n", + " \n", + " # 텍스트 파일을 DataFrame에 추가\n", + "\n", + " with open(file_path, 'r') as file:\n", + " data = file.read()\n", + "\n", + " data = data.split('\\n')[6:-1]\n", + " for i in range(len(data)):\n", + " line = data[i].split(',')\n", + " latitude.append(line[0])\n", + " longitude.append(line[1])\n", + " date.append(line[5])\n", + " time.append(line[6])\n", + "\n", + " df = pd.DataFrame({\"latitude\":latitude, \"longitude\":longitude, \"date\":date, \"time\":time})\n", + " df['latitude'] = df['latitude'].astype(float)\n", + " df['longitude'] = df['longitude'].astype(float)\n", + " df['datetime'] = pd.to_datetime(df['date'] + ' ' + df['time'], format='%Y-%m-%d %H:%M:%S')\n", + " df['datetime'] = df['datetime'].dt.floor('T')\n", + " df = df.drop(['date', 'time'], axis=1)\n", + " df = df.drop_duplicates(['datetime'], ignore_index=True)\n", + "\n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "folder_path = \"C:\\\\Users\\\\sk002\\\\OneDrive\\\\바탕 화면\\\\학교\\\\Yoodori\\\\Geolife Trajectories 1.3\\\\Data\\\\000\\\\Trajectory\"\n", + "\n", + "dataframe = read_text_files_to_dataframe(folder_path)\n", + "\n", + "dataframe" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

의미장소 추출

" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from pyclustering.cluster.gmeans import gmeans\n", + "from pyclustering.cluster import cluster_visualizer\n", + "from pyclustering.cluster import cluster_visualizer_multidim\n", + "import folium" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def gmeans_(df):\n", + " # 두 열을 선택하고 넘파이 배열로 변환\n", + " selected_columns = ['latitude', 'longitude']\n", + " result_list = df[selected_columns].values.tolist()\n", + " \n", + " gmeans_instance = gmeans(result_list).process()\n", + "\n", + " # Extract clustering results: clusters and their centers\n", + " clusters = gmeans_instance.get_clusters()\n", + " centers = gmeans_instance.get_centers()\n", + "\n", + " return clusters, centers\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def map(centers, i):\n", + "\n", + " # 예제 데이터 생성 (서울의 위도, 경도)\n", + " locations = centers\n", + "\n", + " # 지도의 중심 좌표 설정\n", + " map_center = [sum(x[0] for x in locations) / len(locations), sum(x[1] for x in locations) / len(locations)]\n", + "\n", + " # Folium 맵 생성\n", + " mymap = folium.Map(location=map_center, zoom_start=12)\n", + "\n", + " # 위치 데이터를 지도에 마커로 표시\n", + " for loc in locations:\n", + " folium.Marker(location=loc, popup='Location').add_to(mymap)\n", + "\n", + " # 지도를 HTML 파일로 저장하거나 주피터 노트북에서 바로 표시\n", + " file_name = f'map{i}.html'\n", + " mymap.save(file_name)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def fileReader(folder_path, filename):\n", + " latitude = []\n", + " longitude = []\n", + " date = []\n", + " time = []\n", + " file_path = os.path.join(folder_path, filename)\n", + " \n", + " # 텍스트 파일을 DataFrame에 추가\n", + "\n", + " with open(file_path, 'r') as file: \n", + " data = file.read()\n", + "\n", + " data = data.split('\\n')[6:-1]\n", + " for i in range(len(data)):\n", + " line = data[i].split(',')\n", + " latitude.append(line[0])\n", + " longitude.append(line[1])\n", + " date.append(line[5])\n", + " time.append(line[6])\n", + "\n", + " df = pd.DataFrame({\"latitude\":latitude, \"longitude\":longitude, \"date\":date, \"time\":time})\n", + "\n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def app(folder_path):\n", + " \n", + " j = 0\n", + " data_dict = {}\n", + " # 폴더 내의 모든 텍스트 파일을 읽음\n", + " for filename in os.listdir(folder_path):\n", + "\n", + " df = fileReader(folder_path, filename)\n", + "\n", + " df['latitude'] = df['latitude'].astype(float)\n", + " df['longitude'] = df['longitude'].astype(float)\n", + " df['datetime'] = pd.to_datetime(df['date'] + ' ' + df['time'], format='%Y-%m-%d %H:%M:%S')\n", + " df['datetime'] = df['datetime'].dt.floor('T')\n", + " df = df.drop(['date', 'time'], axis=1)\n", + " df = df.drop_duplicates(['datetime'], ignore_index=True)\n", + "\n", + " clusters, centers = gmeans(df)\n", + "\n", + " data_dict[j] = pd.DataFrame({\"clusters\":clusters, \"centers\":centers})\n", + " \n", + " for k in range(len(data_dict[j].clusters)):\n", + " if (len(data_dict[j].clusters[k]) < 6):\n", + " data_dict[j].drop(index=k, inplace=True)\n", + " data_dict[j] = data_dict[j].sort_index(axis=1)\n", + "\n", + " map(centers, j)\n", + " \n", + " j += 1\n", + " return data_dict" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#folder_name = r'C:\\Users\\sk002\\OneDrive\\바탕 화면\\학교\\Yoodori\\Geolife Trajectories 1.3\\Data\\000\\Trajectory'\n", + "#data_dict = app(folder_name)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def fileReader(filename):\n", + "\n", + " latitude = [] # 위도\n", + " longitude = [] # 경도\n", + " date = [] # 날짜\n", + " time = [] # 시간\n", + "\n", + " with open(filename, 'r') as file:\n", + " data = file.read()\n", + "\n", + " # 데이터에 불필요한 부분 제거\n", + " # 추후 데이터 형식에 따라 수정 필요 *\n", + " data = data.split('\\n')[6:-1]\n", + " for i in range(len(data)):\n", + " line = data[i].split(',')\n", + " latitude.append(line[0]) # 위도\n", + " longitude.append(line[1]) # 경도\n", + " date.append(line[5]) # 날짜\n", + " time.append(line[6]) # 시간\n", + "\n", + " df = pd.DataFrame({\"latitude\":latitude, \"longitude\":longitude, \"date\":date, \"time\":time})\n", + "\n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def gmeansFit(df):\n", + " # 두 열을 선택하고 넘파이 배열로 변환\n", + " selectedColumns = ['latitude', 'longitude']\n", + " resultList = df[selectedColumns].values.tolist() # 리스트로 변환\n", + " \n", + " gmeansInstance = gmeans(resultList).process() # 클러스터링\n", + "\n", + " centers = gmeansInstance.get_centers() # 클러스터의 중심 (의미장소)\n", + " clusters = gmeansInstance.get_clusters() # 분류된 클러스터\n", + "\n", + "\n", + " return clusters, centers" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def gmeansFunc(file_name):\n", + " \n", + " j = 0\n", + " data_dict = {}\n", + "\n", + " df = fileReader(file_name)\n", + "\n", + " # 위도 경도 데이터 형식 변경\n", + " df['latitude'] = df['latitude'].astype(float)\n", + " df['longitude'] = df['longitude'].astype(float)\n", + " # 날짜, 시간 데이터 병합\n", + " df['datetime'] = pd.to_datetime(df['date'] + ' ' + df['time'], format='%Y-%m-%d %H:%M:%S')\n", + " df['datetime'] = df['datetime'].dt.floor('T')\n", + " df = df.drop(['date', 'time'], axis=1)\n", + " # 1분 단위로 데이터 병합\n", + " df = df.drop_duplicates(['datetime'], ignore_index=True)\n", + "\n", + " # 의미장소 추출\n", + " clusters, centers = gmeansFit(df)\n", + " \n", + " # 딕셔너리 형식으로 데이터 저장\n", + " data_dict[j] = pd.DataFrame({\"clusters\":clusters, \"centers\":centers})\n", + " \n", + " # 클러스터가 10개 미만인 의미장소 제거\n", + " for k in range(len(data_dict[j].clusters)):\n", + " if (len(data_dict[j].clusters[k]) < 10):\n", + " data_dict[j].drop(index=k, inplace=True)\n", + " data_dict[j] = data_dict[j].sort_index(axis=1)\n", + " \n", + " j += 1\n", + " return data_dict" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "file_name = r'C:\\Users\\sk002\\OneDrive\\바탕 화면\\학교\\Yoodori\\Geolife Trajectories 1.3\\Data\\000\\Trajectory\\20090403011657.txt'\n", + "data_dict = gmeansFunc(file_name)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

서버에 올릴 코드

" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "from pyclustering.cluster.gmeans import gmeans\n", + "from pyclustering.cluster import cluster_visualizer\n", + "from pyclustering.cluster import cluster_visualizer_multidim\n", + "from collections import Counter\n", + "import numpy as np\n", + "import pandas as pd\n", + "import os\n", + "import folium" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "def fileReader(filename):\n", + "\n", + " latitude = [] # 위도\n", + " longitude = [] # 경도\n", + " date = [] # 날짜\n", + " time = [] # 시간\n", + "\n", + " with open(filename, 'r') as file:\n", + " data = file.read()\n", + "\n", + " # 데이터에 불필요한 부분 제거\n", + " # 추후 데이터 형식에 따라 수정 필요 *\n", + " data = data.split('\\n')[6:-1]\n", + " for i in range(len(data)):\n", + " line = data[i].split(',')\n", + " latitude.append(line[0]) # 위도\n", + " longitude.append(line[1]) # 경도\n", + " date.append(line[5]) # 날짜\n", + " time.append(line[6]) # 시간\n", + "\n", + " df = pd.DataFrame({\"latitude\":latitude, \"longitude\":longitude, \"date\":date, \"time\":time})\n", + "\n", + " \n", + " df['latitude'] = df['latitude'].astype(float)\n", + " df['longitude'] = df['longitude'].astype(float)\n", + " df['datetime'] = pd.to_datetime(df['date'] + ' ' + df['time'], format='%Y-%m-%d %H:%M:%S')\n", + " df['datetime'] = df['datetime'].dt.floor('T')\n", + " # 시간대와 요일 추가\n", + " # 시간대 형식 : f00t04 f20t24\n", + " # 4시간 단위로 분리\n", + " df['hour_block'] = 'f' + ((df['datetime'].dt.hour) // 4 * 4).astype(str).str.zfill(2) + 't' + ((df['datetime'].dt.hour + 4) // 4 * 4).astype(str).str.zfill(2)\n", + " df['day_of_week'] = df['datetime'].dt.day_name()\n", + " df = df.drop(['date', 'time'], axis=1)\n", + " df = df.drop_duplicates(['datetime'], ignore_index=True)\n", + "\n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "# 의미장소 추출\n", + "def gmeansFit(df):\n", + " # 두 열을 선택하고 넘파이 배열로 변환\n", + " selectedColumns = ['latitude', 'longitude']\n", + " resultList = df[selectedColumns].values.tolist() # 리스트로 변환\n", + " \n", + " gmeansInstance = gmeans(resultList).process() # 클러스터링\n", + "\n", + " centers = gmeansInstance.get_centers() # 클러스터의 중심 (의미장소)\n", + " clusters = gmeansInstance.get_clusters() # 분류된 클러스터\n", + "\n", + " \n", + "\n", + " return clusters, centers" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "def gmeansFunc(df):\n", + "\n", + "\n", + " clusters, centers = gmeansFit(df)\n", + "\n", + " data_df = pd.DataFrame({\"clusters\":clusters, \"centers\":centers})\n", + " \n", + " for k in range(len(data_df.clusters)):\n", + " if (len(data_df.clusters[k]) < 10):\n", + " data_df.drop(index=k, inplace=True)\n", + " data_df = data_df.sort_index(axis=1)\n", + " data_df = data_df.reset_index(drop=True)\n", + " \n", + "\n", + " return data_df" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [], + "source": [ + "def gmeansFunc(df):\n", + "\n", + "\n", + " clusters, centers = gmeansFit(df)\n", + "\n", + " data_df = pd.DataFrame({\"clusters\":clusters, \"centers\":centers})\n", + " \n", + " for k in range(len(data_df.clusters)):\n", + " if (len(data_df.clusters[k]) < 10):\n", + " data_df.drop(index=k, inplace=True)\n", + " data_df = data_df.sort_index(axis=1)\n", + " data_df = data_df.reset_index(drop=True)\n", + " \n", + " df['clusterNo'] = -1\n", + " for i in range(len(data_df)):\n", + " for j in range(len(data_df['clusters'].iloc[i])):\n", + " k = data_df['clusters'].iloc[i][j]\n", + " df['clusterNo'].iloc[k] = i\n", + "\n", + " df = df[df['clusterNo'] != -1]\n", + "\n", + "\n", + " data_df['hour_block'] = 0\n", + " data_df['day_of_week'] = 0\n", + " for i in range(max(df['clusterNo'])+1):\n", + " \n", + " counter = Counter(df[df['clusterNo'] == i]['hour_block'])\n", + " most_hour_value = counter.most_common(1)[0][0]\n", + "\n", + " counter = Counter(df[df['clusterNo'] == i]['day_of_week'])\n", + " most_day_value = counter.most_common(1)[0][0]\n", + "\n", + " data_df['hour_block'].iloc[i] = most_hour_value\n", + " data_df['day_of_week'].iloc[i] = most_day_value\n", + "\n", + "\n", + " return data_df" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:33: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " data_df['hour_block'].iloc[i] = most_hour_value\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\368391748.py:34: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " data_df['day_of_week'].iloc[i] = most_day_value\n" + ] + }, + { + "data": { + "text/html": [ + "
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centersclustershour_blockday_of_week
0[39.90903863636363, 116.4055848181818][1020, 1021, 1022, 1023, 1029, 1030, 1031, 103...f08t12Saturday
1[39.9097909090909, 116.40469272727273][1037, 1038, 1039, 1040, 1041, 1042, 1043, 104...f12t16Saturday
2[39.89846146153847, 116.38943146153848][1075, 1076, 1077, 1078, 1079, 1080, 1081, 108...f12t16Saturday
3[39.98576385, 116.41272174999999][89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 1...f08t12Friday
4[40.00947544444444, 116.31560994444447][479, 486, 488, 493, 495, 496, 497, 498, 500, ...f16t20Friday
5[40.00976641860466, 116.31521109302322][318, 337, 350, 351, 352, 353, 354, 355, 356, ...f00t04Saturday
6[40.00972907407408, 116.31529355555557][217, 243, 254, 326, 328, 339, 347, 357, 358, ...f12t16Friday
7[40.0098601, 116.31529659999997][44, 46, 313, 314, 331, 336, 343, 344, 364, 36...f12t16Friday
8[40.00996627272727, 116.31515850000005][38, 45, 309, 330, 342, 370, 388, 534, 692, 72...f00t04Saturday
9[40.010062999999995, 116.31538221428572][220, 221, 307, 308, 334, 335, 708, 720, 722, ...f00t04Friday
10[40.00973002439024, 116.3150846585366][218, 238, 247, 317, 341, 382, 398, 401, 428, ...f20t24Friday
11[40.00982728125, 116.31508737499998][47, 237, 242, 248, 250, 387, 415, 455, 462, 5...f00t04Friday
12[40.009674749999995, 116.31503636111114][322, 323, 368, 378, 379, 395, 404, 409, 414, ...f20t24Friday
13[40.009646800000006, 116.31497193333333][394, 408, 442, 446, 447, 458, 506, 578, 590, ...f20t24Friday
14[40.00963566666666, 116.31510697777776][315, 320, 321, 324, 380, 381, 384, 385, 391, ...f16t20Friday
15[40.00956528, 116.31506664][43, 219, 366, 377, 393, 396, 400, 402, 403, 4...f12t16Friday
16[40.00951812500001, 116.31516856250002][227, 230, 340, 390, 411, 412, 419, 421, 433, ...f12t16Friday
17[40.00957645454545, 116.31487145454544][253, 305, 441, 591, 599, 603, 637, 638, 695, ...f20t24Friday
18[40.009699181818185, 116.31516052272724][232, 249, 319, 325, 327, 329, 383, 422, 423, ...f00t04Friday
19[40.00962183720931, 116.31522711627908][39, 41, 42, 50, 224, 231, 233, 244, 245, 246,...f16t20Friday
20[40.009802916666665, 116.31542216666664][332, 345, 346, 359, 360, 363, 374, 476, 598, ...f12t16Friday
21[40.0097056, 116.3157825][211, 304, 333, 338, 477, 478, 487, 489, 1158,...f12t16Friday
22[40.009529590909096, 116.31531263636363][40, 223, 228, 229, 376, 426, 443, 450, 471, 4...f16t20Friday
23[40.0094294, 116.315442][225, 226, 481, 515, 524, 526, 594, 615, 647, ...f16t20Friday
24[40.00987146153846, 116.3146243076923][35, 216, 240, 241, 252, 306, 435, 436, 437, 5...f16t20Friday
25[40.009787575000004, 116.31489934999999][367, 407, 416, 429, 430, 434, 439, 440, 448, ...f16t20Friday
26[40.009994999999996, 116.31491836000001][36, 37, 48, 49, 213, 214, 215, 239, 251, 310,...f20t24Friday
27[40.00792366666667, 116.31262733333331][826, 827, 828, 829, 830, 831, 832, 833, 834, ...f04t08Saturday
28[40.007904363636364, 116.31942936363636][14, 24, 268, 272, 273, 276, 279, 282, 283, 28...f12t16Friday
29[40.006571833333346, 116.31778858333332][9, 11, 261, 262, 263, 291, 292, 293, 294, 295...f12t16Friday
30[39.992524374999995, 116.27430650000001][877, 878, 879, 880, 881, 882, 883, 884, 911, ...f04t08Saturday
31[39.989553500000014, 116.27197426923075][885, 886, 887, 888, 889, 890, 891, 892, 893, ...f08t12Saturday
32[39.99659125000001, 116.27366484375][863, 864, 865, 866, 867, 868, 869, 870, 871, ...f08t12Saturday
33[39.997166846153846, 116.26384915384614][947, 948, 949, 950, 951, 952, 953, 954, 955, ...f08t12Saturday
34[39.9967593, 116.2687632][937, 938, 939, 940, 941, 942, 943, 944, 945, ...f08t12Saturday
35[39.99600499999999, 116.29029709999998][849, 850, 851, 852, 853, 854, 855, 856, 992, ...f04t08Saturday
36[40.043579, 116.60664570000002][119, 120, 121, 122, 123, 124, 125, 126, 127, ...f08t12Friday
37[39.97609907692307, 116.45580776923076][101, 102, 103, 104, 105, 106, 107, 108, 154, ...f08t12Friday
\n", + "
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[40.00962183720931, 116.31522711627908] \n", + "20 [40.009802916666665, 116.31542216666664] \n", + "21 [40.0097056, 116.3157825] \n", + "22 [40.009529590909096, 116.31531263636363] \n", + "23 [40.0094294, 116.315442] \n", + "24 [40.00987146153846, 116.3146243076923] \n", + "25 [40.009787575000004, 116.31489934999999] \n", + "26 [40.009994999999996, 116.31491836000001] \n", + "27 [40.00792366666667, 116.31262733333331] \n", + "28 [40.007904363636364, 116.31942936363636] \n", + "29 [40.006571833333346, 116.31778858333332] \n", + "30 [39.992524374999995, 116.27430650000001] \n", + "31 [39.989553500000014, 116.27197426923075] \n", + "32 [39.99659125000001, 116.27366484375] \n", + "33 [39.997166846153846, 116.26384915384614] \n", + "34 [39.9967593, 116.2687632] \n", + "35 [39.99600499999999, 116.29029709999998] \n", + "36 [40.043579, 116.60664570000002] \n", + "37 [39.97609907692307, 116.45580776923076] \n", + "\n", + " clusters hour_block day_of_week \n", + "0 [1020, 1021, 1022, 1023, 1029, 1030, 1031, 103... f08t12 Saturday \n", + "1 [1037, 1038, 1039, 1040, 1041, 1042, 1043, 104... f12t16 Saturday \n", + "2 [1075, 1076, 1077, 1078, 1079, 1080, 1081, 108... f12t16 Saturday \n", + "3 [89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 1... f08t12 Friday \n", + "4 [479, 486, 488, 493, 495, 496, 497, 498, 500, ... f16t20 Friday \n", + "5 [318, 337, 350, 351, 352, 353, 354, 355, 356, ... f00t04 Saturday \n", + "6 [217, 243, 254, 326, 328, 339, 347, 357, 358, ... f12t16 Friday \n", + "7 [44, 46, 313, 314, 331, 336, 343, 344, 364, 36... f12t16 Friday \n", + "8 [38, 45, 309, 330, 342, 370, 388, 534, 692, 72... f00t04 Saturday \n", + "9 [220, 221, 307, 308, 334, 335, 708, 720, 722, ... f00t04 Friday \n", + "10 [218, 238, 247, 317, 341, 382, 398, 401, 428, ... f20t24 Friday \n", + "11 [47, 237, 242, 248, 250, 387, 415, 455, 462, 5... f00t04 Friday \n", + "12 [322, 323, 368, 378, 379, 395, 404, 409, 414, ... f20t24 Friday \n", + "13 [394, 408, 442, 446, 447, 458, 506, 578, 590, ... f20t24 Friday \n", + "14 [315, 320, 321, 324, 380, 381, 384, 385, 391, ... f16t20 Friday \n", + "15 [43, 219, 366, 377, 393, 396, 400, 402, 403, 4... f12t16 Friday \n", + "16 [227, 230, 340, 390, 411, 412, 419, 421, 433, ... f12t16 Friday \n", + "17 [253, 305, 441, 591, 599, 603, 637, 638, 695, ... f20t24 Friday \n", + "18 [232, 249, 319, 325, 327, 329, 383, 422, 423, ... f00t04 Friday \n", + "19 [39, 41, 42, 50, 224, 231, 233, 244, 245, 246,... f16t20 Friday \n", + "20 [332, 345, 346, 359, 360, 363, 374, 476, 598, ... f12t16 Friday \n", + "21 [211, 304, 333, 338, 477, 478, 487, 489, 1158,... f12t16 Friday \n", + "22 [40, 223, 228, 229, 376, 426, 443, 450, 471, 4... f16t20 Friday \n", + "23 [225, 226, 481, 515, 524, 526, 594, 615, 647, ... f16t20 Friday \n", + "24 [35, 216, 240, 241, 252, 306, 435, 436, 437, 5... f16t20 Friday \n", + "25 [367, 407, 416, 429, 430, 434, 439, 440, 448, ... f16t20 Friday \n", + "26 [36, 37, 48, 49, 213, 214, 215, 239, 251, 310,... f20t24 Friday \n", + "27 [826, 827, 828, 829, 830, 831, 832, 833, 834, ... f04t08 Saturday \n", + "28 [14, 24, 268, 272, 273, 276, 279, 282, 283, 28... f12t16 Friday \n", + "29 [9, 11, 261, 262, 263, 291, 292, 293, 294, 295... f12t16 Friday \n", + "30 [877, 878, 879, 880, 881, 882, 883, 884, 911, ... f04t08 Saturday \n", + "31 [885, 886, 887, 888, 889, 890, 891, 892, 893, ... f08t12 Saturday \n", + "32 [863, 864, 865, 866, 867, 868, 869, 870, 871, ... f08t12 Saturday \n", + "33 [947, 948, 949, 950, 951, 952, 953, 954, 955, ... f08t12 Saturday \n", + "34 [937, 938, 939, 940, 941, 942, 943, 944, 945, ... f08t12 Saturday \n", + "35 [849, 850, 851, 852, 853, 854, 855, 856, 992, ... f04t08 Saturday \n", + "36 [119, 120, 121, 122, 123, 124, 125, 126, 127, ... f08t12 Friday \n", + "37 [101, 102, 103, 104, 105, 106, 107, 108, 154, ... f08t12 Friday " + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "file_name = r'C:\\Users\\sk002\\OneDrive\\바탕 화면\\학교\\Yoodori\\Geolife Trajectories 1.3\\Data\\003\\Trajectory\\20090403011657.txt'\n", + "df1 = fileReader(file_name)\n", + "data_df_1 = gmeansFunc(df1)\n", + "data_df_1" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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latitudelongitudedatetimehour_blockday_of_weekclusterNo
040.001520116.3118592009-04-03 01:16:00f00t04Friday-1
140.001437116.3122502009-04-03 01:17:00f00t04Friday-1
240.002051116.3126302009-04-03 01:18:00f00t04Friday-1
340.004016116.3124762009-04-03 01:19:00f00t04Friday-1
440.004578116.3147742009-04-03 01:20:00f00t04Friday-1
.....................
116640.009642116.3151002009-04-04 14:31:00f12t16Saturday11
116740.009683116.3150282009-04-04 14:32:00f12t16Saturday8
116840.009551116.3150612009-04-04 14:33:00f12t16Saturday11
116940.009591116.3151482009-04-04 14:34:00f12t16Saturday11
117040.009575116.3151452009-04-04 14:35:00f12t16Saturday11
\n", + "

1171 rows × 6 columns

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" + ], + "text/plain": [ + " latitude longitude datetime hour_block day_of_week \n", + "0 40.001520 116.311859 2009-04-03 01:16:00 f00t04 Friday \\\n", + "1 40.001437 116.312250 2009-04-03 01:17:00 f00t04 Friday \n", + "2 40.002051 116.312630 2009-04-03 01:18:00 f00t04 Friday \n", + "3 40.004016 116.312476 2009-04-03 01:19:00 f00t04 Friday \n", + "4 40.004578 116.314774 2009-04-03 01:20:00 f00t04 Friday \n", + "... ... ... ... ... ... \n", + "1166 40.009642 116.315100 2009-04-04 14:31:00 f12t16 Saturday \n", + "1167 40.009683 116.315028 2009-04-04 14:32:00 f12t16 Saturday \n", + "1168 40.009551 116.315061 2009-04-04 14:33:00 f12t16 Saturday \n", + "1169 40.009591 116.315148 2009-04-04 14:34:00 f12t16 Saturday \n", + "1170 40.009575 116.315145 2009-04-04 14:35:00 f12t16 Saturday \n", + "\n", + " clusterNo \n", + "0 -1 \n", + "1 -1 \n", + "2 -1 \n", + "3 -1 \n", + "4 -1 \n", + "... ... \n", + "1166 11 \n", + "1167 8 \n", + "1168 11 \n", + "1169 11 \n", + "1170 11 \n", + "\n", + "[1171 rows x 6 columns]" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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centersclusters
0[40.009822434782606, 116.31537617391304][314, 331, 332, 343, 344, 345, 346, 347, 359, ...
1[40.00977977500001, 116.31522249999998][44, 313, 318, 336, 352, 353, 355, 356, 369, 3...
2[40.00972261538462, 116.31529069230768][217, 243, 254, 326, 328, 339, 357, 358, 362, ...
3[40.00985584000001, 116.31510704][47, 250, 387, 415, 462, 534, 574, 592, 639, 6...
4[40.010041384615384, 116.31493176923075][36, 37, 48, 49, 213, 214, 215, 310, 606, 735,...
5[40.009942578947374, 116.3152110526316][38, 45, 46, 309, 330, 342, 370, 413, 692, 699...
6[40.010017999999995, 116.31542119999999][307, 308, 334, 335, 720, 822, 823, 824, 825, ...
7[40.00968718181818, 116.315785][211, 304, 333, 338, 477, 478, 479, 487, 489, ...
8[40.00968004166666, 116.3150474166666][218, 238, 322, 323, 324, 368, 378, 379, 381, ...
9[40.009747591836735, 116.31510653061221][242, 247, 248, 317, 341, 382, 398, 428, 455, ...
10[40.00947607692308, 116.31511676923077][230, 390, 402, 412, 433, 469, 507, 518, 604, ...
11[40.00959715384616, 116.31509421153842][43, 321, 366, 377, 380, 385, 391, 393, 396, 3...
12[40.00968908695652, 116.31517619565213][232, 244, 249, 315, 316, 319, 320, 325, 327, ...
13[40.00960802272728, 116.3152222727273][39, 41, 42, 50, 224, 227, 231, 233, 245, 246,...
14[40.009529590909096, 116.31531263636363][40, 223, 228, 229, 376, 426, 443, 450, 471, 4...
15[40.00977542857144, 116.31492185714286][237, 367, 407, 416, 429, 439, 440, 448, 454, ...
16[40.00989590909091, 116.31485209090907][239, 240, 241, 405, 430, 432, 434, 453, 461, ...
17[40.0098577, 116.314587][35, 216, 252, 306, 435, 436, 437, 504, 527, 634]
18[40.00947433333333, 116.31559333333335][486, 488, 493, 495, 496, 497, 498, 500, 501, ...
19[40.00792366666667, 116.31262733333331][826, 827, 828, 829, 830, 831, 832, 833, 834, ...
20[40.009584800000006, 116.31491270000001][219, 253, 305, 392, 408, 441, 506, 578, 590, ...
21[40.007840741935496, 116.3195012580645][12, 13, 14, 15, 22, 23, 24, 26, 30, 31, 266, ...
22[40.006571833333346, 116.31778858333332][9, 11, 261, 262, 263, 291, 292, 293, 294, 295...
23[39.99661241666666, 116.27291554166665][872, 873, 874, 875, 876, 919, 920, 921, 922, ...
24[39.99661999999999, 116.27555850000002][862, 863, 864, 865, 866, 867, 868, 869, 870, ...
25[39.989553500000014, 116.27197426923075][885, 886, 887, 888, 889, 890, 891, 892, 893, ...
26[39.992524374999995, 116.27430650000001][877, 878, 879, 880, 881, 882, 883, 884, 911, ...
27[39.99728728571428, 116.26381164285714][947, 948, 949, 950, 951, 952, 953, 954, 955, ...
28[40.00045736363636, 116.26386681818181][961, 962, 963, 964, 965, 966, 967, 968, 969, ...
29[39.99600499999999, 116.29029709999998][849, 850, 851, 852, 853, 854, 855, 856, 992, ...
30[39.98576385, 116.41272174999999][89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 1...
31[39.89846146153847, 116.38943146153848][1075, 1076, 1077, 1078, 1079, 1080, 1081, 108...
32[39.9097909090909, 116.40469272727273][1037, 1038, 1039, 1040, 1041, 1042, 1043, 104...
33[40.043579, 116.60664570000002][119, 120, 121, 122, 123, 124, 125, 126, 127, ...
34[39.976552785714276, 116.457318][101, 102, 103, 104, 105, 106, 107, 108, 153, ...
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latitudelongitudedatetimehour_blockday_of_weekclusterNo
040.001520116.3118592009-04-03 01:16:00f00t04Friday-1
140.001437116.3122502009-04-03 01:17:00f00t04Friday-1
240.002051116.3126302009-04-03 01:18:00f00t04Friday-1
340.004016116.3124762009-04-03 01:19:00f00t04Friday-1
440.004578116.3147742009-04-03 01:20:00f00t04Friday-1
.....................
116640.009642116.3151002009-04-04 14:31:00f12t16Saturday11
116740.009683116.3150282009-04-04 14:32:00f12t16Saturday8
116840.009551116.3150612009-04-04 14:33:00f12t16Saturday11
116940.009591116.3151482009-04-04 14:34:00f12t16Saturday11
117040.009575116.3151452009-04-04 14:35:00f12t16Saturday11
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1171 rows × 6 columns

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" + ], + "text/plain": [ + " latitude longitude datetime hour_block day_of_week \n", + "0 40.001520 116.311859 2009-04-03 01:16:00 f00t04 Friday \\\n", + "1 40.001437 116.312250 2009-04-03 01:17:00 f00t04 Friday \n", + "2 40.002051 116.312630 2009-04-03 01:18:00 f00t04 Friday \n", + "3 40.004016 116.312476 2009-04-03 01:19:00 f00t04 Friday \n", + "4 40.004578 116.314774 2009-04-03 01:20:00 f00t04 Friday \n", + "... ... ... ... ... ... \n", + "1166 40.009642 116.315100 2009-04-04 14:31:00 f12t16 Saturday \n", + "1167 40.009683 116.315028 2009-04-04 14:32:00 f12t16 Saturday \n", + "1168 40.009551 116.315061 2009-04-04 14:33:00 f12t16 Saturday \n", + "1169 40.009591 116.315148 2009-04-04 14:34:00 f12t16 Saturday \n", + "1170 40.009575 116.315145 2009-04-04 14:35:00 f12t16 Saturday \n", + "\n", + " clusterNo \n", + "0 -1 \n", + "1 -1 \n", + "2 -1 \n", + "3 -1 \n", + "4 -1 \n", + "... ... \n", + "1166 11 \n", + "1167 8 \n", + "1168 11 \n", + "1169 11 \n", + "1170 11 \n", + "\n", + "[1171 rows x 6 columns]" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\3979695418.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df1['clusterNo'].iloc[k] = i\n" + ] + }, + { + "data": { + "text/html": [ + "
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latitudelongitudedatetimehour_blockday_of_weekclusterNo
040.001520116.3118592009-04-03 01:16:00f00t04Friday-1
140.001437116.3122502009-04-03 01:17:00f00t04Friday-1
240.002051116.3126302009-04-03 01:18:00f00t04Friday-1
340.004016116.3124762009-04-03 01:19:00f00t04Friday-1
440.004578116.3147742009-04-03 01:20:00f00t04Friday-1
.....................
116640.009642116.3151002009-04-04 14:31:00f12t16Saturday11
116740.009683116.3150282009-04-04 14:32:00f12t16Saturday8
116840.009551116.3150612009-04-04 14:33:00f12t16Saturday11
116940.009591116.3151482009-04-04 14:34:00f12t16Saturday11
117040.009575116.3151452009-04-04 14:35:00f12t16Saturday11
\n", + "

1171 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " latitude longitude datetime hour_block day_of_week \n", + "0 40.001520 116.311859 2009-04-03 01:16:00 f00t04 Friday \\\n", + "1 40.001437 116.312250 2009-04-03 01:17:00 f00t04 Friday \n", + "2 40.002051 116.312630 2009-04-03 01:18:00 f00t04 Friday \n", + "3 40.004016 116.312476 2009-04-03 01:19:00 f00t04 Friday \n", + "4 40.004578 116.314774 2009-04-03 01:20:00 f00t04 Friday \n", + "... ... ... ... ... ... \n", + "1166 40.009642 116.315100 2009-04-04 14:31:00 f12t16 Saturday \n", + "1167 40.009683 116.315028 2009-04-04 14:32:00 f12t16 Saturday \n", + "1168 40.009551 116.315061 2009-04-04 14:33:00 f12t16 Saturday \n", + "1169 40.009591 116.315148 2009-04-04 14:34:00 f12t16 Saturday \n", + "1170 40.009575 116.315145 2009-04-04 14:35:00 f12t16 Saturday \n", + "\n", + " clusterNo \n", + "0 -1 \n", + "1 -1 \n", + "2 -1 \n", + "3 -1 \n", + "4 -1 \n", + "... ... \n", + "1166 11 \n", + "1167 8 \n", + "1168 11 \n", + "1169 11 \n", + "1170 11 \n", + "\n", + "[1171 rows x 6 columns]" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1['clusterNo'] = -1\n", + "for i in range(len(data_df_1)):\n", + " for j in range(len(data_df_1['clusters'].iloc[i])):\n", + " k = data_df_1['clusters'].iloc[i][j]\n", + " df1['clusterNo'].iloc[k] = i\n", + "\n", + "\n", + "df1" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n" + ] + } + ], + "source": [ + "file_name = r'C:\\Users\\sk002\\OneDrive\\바탕 화면\\학교\\Yoodori\\Geolife Trajectories 1.3\\Data\\003\\Trajectory\\20090120002837.txt'\n", + "df2 = fileReader(file_name)\n", + "data_df_2 = gmeansFunc(df2)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\742387528.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['clusterNo'].iloc[k] = i\n" + ] + }, + { + "data": { + "text/html": [ + "
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latitudelongitudedatetimehour_blockday_of_weekclusterNo
039.999840116.3271912009-01-20 00:28:00f00t04Tuesday-1
139.999991116.3266292009-01-20 00:29:00f00t04Tuesday-1
240.001186116.3256862009-01-20 00:30:00f00t04Tuesday-1
340.002164116.3245172009-01-20 00:31:00f00t04Tuesday-1
440.003486116.3231992009-01-20 00:32:00f00t04Tuesday-1
.....................
93932.057004121.2708902009-01-21 02:11:00f00t04Wednesday-1
94032.057173121.2697102009-01-21 02:16:00f00t04Wednesday-1
94132.056679121.2714102009-01-21 02:17:00f00t04Wednesday-1
94232.056826121.2712922009-01-21 02:18:00f00t04Wednesday-1
94332.056079121.2713272009-01-21 02:19:00f00t04Wednesday-1
\n", + "

944 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " latitude longitude datetime hour_block day_of_week \n", + "0 39.999840 116.327191 2009-01-20 00:28:00 f00t04 Tuesday \\\n", + "1 39.999991 116.326629 2009-01-20 00:29:00 f00t04 Tuesday \n", + "2 40.001186 116.325686 2009-01-20 00:30:00 f00t04 Tuesday \n", + "3 40.002164 116.324517 2009-01-20 00:31:00 f00t04 Tuesday \n", + "4 40.003486 116.323199 2009-01-20 00:32:00 f00t04 Tuesday \n", + ".. ... ... ... ... ... \n", + "939 32.057004 121.270890 2009-01-21 02:11:00 f00t04 Wednesday \n", + "940 32.057173 121.269710 2009-01-21 02:16:00 f00t04 Wednesday \n", + "941 32.056679 121.271410 2009-01-21 02:17:00 f00t04 Wednesday \n", + "942 32.056826 121.271292 2009-01-21 02:18:00 f00t04 Wednesday \n", + "943 32.056079 121.271327 2009-01-21 02:19:00 f00t04 Wednesday \n", + "\n", + " clusterNo \n", + "0 -1 \n", + "1 -1 \n", + "2 -1 \n", + "3 -1 \n", + "4 -1 \n", + ".. ... \n", + "939 -1 \n", + "940 -1 \n", + "941 -1 \n", + "942 -1 \n", + "943 -1 \n", + "\n", + "[944 rows x 6 columns]" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2['clusterNo'] = -1\n", + "for i in range(len(data_df_2)):\n", + " for j in range(len(data_df_2['clusters'].iloc[i])):\n", + " k = data_df_2['clusters'].iloc[i][j]\n", + " df2['clusterNo'].iloc[k] = i\n", + "\n", + "\n", + "df2" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n" + ] + } + ], + "source": [ + "file_name = r'C:\\Users\\sk002\\OneDrive\\바탕 화면\\학교\\Yoodori\\Geolife Trajectories 1.3\\Data\\003\\Trajectory\\20090221034838.txt'\n", + "df3 = fileReader(file_name)\n", + "data_df_3 = gmeansFunc(df3)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\132891351.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['clusterNo'].iloc[k] = i\n" + ] + }, + { + "data": { + "text/html": [ + "
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latitudelongitudedatetimehour_blockday_of_weekclusterNo
039.999168116.3341292009-02-21 03:48:00f00t04Saturday-1
139.999380116.3342452009-02-21 03:49:00f00t04Saturday-1
240.000569116.3336642009-02-21 03:50:00f00t04Saturday-1
340.000496116.3334122009-02-21 03:51:00f00t04Saturday-1
440.000529116.3329412009-02-21 03:52:00f00t04Saturday-1
.....................
71139.996333116.3386162009-02-21 22:52:00f20t24Saturday-1
71239.996465116.3388022009-02-21 22:53:00f20t24Saturday-1
71339.996531116.3387552009-02-21 22:54:00f20t24Saturday-1
71439.997935116.3389132009-02-21 22:55:00f20t24Saturday2
71539.996862116.3386992009-02-21 22:56:00f20t24Saturday-1
\n", + "

716 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " latitude longitude datetime hour_block day_of_week \n", + "0 39.999168 116.334129 2009-02-21 03:48:00 f00t04 Saturday \\\n", + "1 39.999380 116.334245 2009-02-21 03:49:00 f00t04 Saturday \n", + "2 40.000569 116.333664 2009-02-21 03:50:00 f00t04 Saturday \n", + "3 40.000496 116.333412 2009-02-21 03:51:00 f00t04 Saturday \n", + "4 40.000529 116.332941 2009-02-21 03:52:00 f00t04 Saturday \n", + ".. ... ... ... ... ... \n", + "711 39.996333 116.338616 2009-02-21 22:52:00 f20t24 Saturday \n", + "712 39.996465 116.338802 2009-02-21 22:53:00 f20t24 Saturday \n", + "713 39.996531 116.338755 2009-02-21 22:54:00 f20t24 Saturday \n", + "714 39.997935 116.338913 2009-02-21 22:55:00 f20t24 Saturday \n", + "715 39.996862 116.338699 2009-02-21 22:56:00 f20t24 Saturday \n", + "\n", + " clusterNo \n", + "0 -1 \n", + "1 -1 \n", + "2 -1 \n", + "3 -1 \n", + "4 -1 \n", + ".. ... \n", + "711 -1 \n", + "712 -1 \n", + "713 -1 \n", + "714 2 \n", + "715 -1 \n", + "\n", + "[716 rows x 6 columns]" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df3['clusterNo'] = -1\n", + "for i in range(len(data_df_3)):\n", + " for j in range(len(data_df_3['clusters'].iloc[i])):\n", + " k = data_df_3['clusters'].iloc[i][j]\n", + " df3['clusterNo'].iloc[k] = i\n", + "\n", + "\n", + "df3" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n" + ] + } + ], + "source": [ + "file_name = r'C:\\Users\\sk002\\OneDrive\\바탕 화면\\학교\\Yoodori\\Geolife Trajectories 1.3\\Data\\003\\Trajectory\\20090214045230.txt'\n", + "df4 = fileReader(file_name)\n", + "data_df_4 = gmeansFunc(df4)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1511750764.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['clusterNo'].iloc[k] = i\n" + ] + }, + { + "data": { + "text/html": [ + "
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latitudelongitudedatetimehour_blockday_of_weekclusterNo
039.998569116.3392002009-02-14 04:52:00f04t08Saturday21
139.998634116.3386222009-02-14 04:53:00f04t08Saturday13
239.998102116.3372582009-02-14 04:54:00f04t08Saturday-1
339.997688116.3349192009-02-14 04:55:00f04t08Saturday-1
439.997469116.3339722009-02-14 04:56:00f04t08Saturday-1
.....................
75539.999533116.3382702009-02-14 23:35:00f20t24Saturday5
75639.998664116.3382812009-02-14 23:36:00f20t24Saturday15
75739.998998116.3376762009-02-14 23:37:00f20t24Saturday-1
75839.999212116.3382392009-02-14 23:38:00f20t24Saturday6
75939.998765116.3384762009-02-14 23:39:00f20t24Saturday12
\n", + "

760 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " latitude longitude datetime hour_block day_of_week \n", + "0 39.998569 116.339200 2009-02-14 04:52:00 f04t08 Saturday \\\n", + "1 39.998634 116.338622 2009-02-14 04:53:00 f04t08 Saturday \n", + "2 39.998102 116.337258 2009-02-14 04:54:00 f04t08 Saturday \n", + "3 39.997688 116.334919 2009-02-14 04:55:00 f04t08 Saturday \n", + "4 39.997469 116.333972 2009-02-14 04:56:00 f04t08 Saturday \n", + ".. ... ... ... ... ... \n", + "755 39.999533 116.338270 2009-02-14 23:35:00 f20t24 Saturday \n", + "756 39.998664 116.338281 2009-02-14 23:36:00 f20t24 Saturday \n", + "757 39.998998 116.337676 2009-02-14 23:37:00 f20t24 Saturday \n", + "758 39.999212 116.338239 2009-02-14 23:38:00 f20t24 Saturday \n", + "759 39.998765 116.338476 2009-02-14 23:39:00 f20t24 Saturday \n", + "\n", + " clusterNo \n", + "0 21 \n", + "1 13 \n", + "2 -1 \n", + "3 -1 \n", + "4 -1 \n", + ".. ... \n", + "755 5 \n", + "756 15 \n", + "757 -1 \n", + "758 6 \n", + "759 12 \n", + "\n", + "[760 rows x 6 columns]" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df4['clusterNo'] = -1\n", + "for i in range(len(data_df_4)):\n", + " for j in range(len(data_df_4['clusters'].iloc[i])):\n", + " k = data_df_4['clusters'].iloc[i][j]\n", + " df4['clusterNo'].iloc[k] = i\n", + "\n", + "\n", + "df4" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1348961784.py:18: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['clusterNo'].iloc[k] = i\n" + ] + } + ], + "source": [ + "file_name = r'C:\\Users\\sk002\\OneDrive\\바탕 화면\\학교\\Yoodori\\Geolife Trajectories 1.3\\Data\\003\\Trajectory\\20081202160051.txt'\n", + "df5 = fileReader(file_name)\n", + "data_df_5 = gmeansFunc(df5)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_12996\\1893511261.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['clusterNo'].iloc[k] = i\n" + ] + }, + { + "data": { + "text/html": [ + "
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latitudelongitudedatetimehour_blockday_of_weekclusterNo
039.999869116.3269932008-12-02 16:00:00f16t20Tuesday17
139.999895116.3270392008-12-02 16:01:00f16t20Tuesday17
239.999880116.3257932008-12-02 16:02:00f16t20Tuesday17
340.000132116.3247132008-12-02 16:03:00f16t20Tuesday-1
440.001176116.3245112008-12-02 16:04:00f16t20Tuesday-1
.....................
68039.996573116.3266112008-12-03 11:30:00f08t12Wednesday-1
68139.998787116.3266862008-12-03 11:31:00f08t12Wednesday17
68239.999864116.3273652008-12-03 11:32:00f08t12Wednesday17
68339.999924116.3274582008-12-03 11:33:00f08t12Wednesday17
68440.000083116.3273612008-12-03 11:34:00f08t12Wednesday17
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685 rows × 6 columns

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" + ], + "text/plain": [ + " latitude longitude datetime hour_block day_of_week \n", + "0 39.999869 116.326993 2008-12-02 16:00:00 f16t20 Tuesday \\\n", + "1 39.999895 116.327039 2008-12-02 16:01:00 f16t20 Tuesday \n", + "2 39.999880 116.325793 2008-12-02 16:02:00 f16t20 Tuesday \n", + "3 40.000132 116.324713 2008-12-02 16:03:00 f16t20 Tuesday \n", + "4 40.001176 116.324511 2008-12-02 16:04:00 f16t20 Tuesday \n", + ".. ... ... ... ... ... \n", + "680 39.996573 116.326611 2008-12-03 11:30:00 f08t12 Wednesday \n", + "681 39.998787 116.326686 2008-12-03 11:31:00 f08t12 Wednesday \n", + "682 39.999864 116.327365 2008-12-03 11:32:00 f08t12 Wednesday \n", + "683 39.999924 116.327458 2008-12-03 11:33:00 f08t12 Wednesday \n", + "684 40.000083 116.327361 2008-12-03 11:34:00 f08t12 Wednesday \n", + "\n", + " clusterNo \n", + "0 17 \n", + "1 17 \n", + "2 17 \n", + "3 -1 \n", + "4 -1 \n", + ".. ... \n", + "680 -1 \n", + "681 17 \n", + "682 17 \n", + "683 17 \n", + "684 17 \n", + "\n", + "[685 rows x 6 columns]" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df5['clusterNo'] = -1\n", + "for i in range(len(data_df_5)):\n", + " for j in range(len(data_df_5['clusters'].iloc[i])):\n", + " k = data_df_5['clusters'].iloc[i][j]\n", + " df5['clusterNo'].iloc[k] = i\n", + "\n", + "\n", + "df5" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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centersclusters
0[40.009822434782606, 116.31537617391304][314, 331, 332, 343, 344, 345, 346, 347, 359, ...
1[40.00977977500001, 116.31522249999998][44, 313, 318, 336, 352, 353, 355, 356, 369, 3...
2[40.00972261538462, 116.31529069230768][217, 243, 254, 326, 328, 339, 357, 358, 362, ...
3[40.00985584000001, 116.31510704][47, 250, 387, 415, 462, 534, 574, 592, 639, 6...
4[40.010041384615384, 116.31493176923075][36, 37, 48, 49, 213, 214, 215, 310, 606, 735,...
5[40.009942578947374, 116.3152110526316][38, 45, 46, 309, 330, 342, 370, 413, 692, 699...
6[40.010017999999995, 116.31542119999999][307, 308, 334, 335, 720, 822, 823, 824, 825, ...
7[40.00968718181818, 116.315785][211, 304, 333, 338, 477, 478, 479, 487, 489, ...
8[40.00968004166666, 116.3150474166666][218, 238, 322, 323, 324, 368, 378, 379, 381, ...
9[40.009747591836735, 116.31510653061221][242, 247, 248, 317, 341, 382, 398, 428, 455, ...
10[40.00947607692308, 116.31511676923077][230, 390, 402, 412, 433, 469, 507, 518, 604, ...
11[40.00959715384616, 116.31509421153842][43, 321, 366, 377, 380, 385, 391, 393, 396, 3...
12[40.00968908695652, 116.31517619565213][232, 244, 249, 315, 316, 319, 320, 325, 327, ...
13[40.00960802272728, 116.3152222727273][39, 41, 42, 50, 224, 227, 231, 233, 245, 246,...
14[40.009529590909096, 116.31531263636363][40, 223, 228, 229, 376, 426, 443, 450, 471, 4...
15[40.00977542857144, 116.31492185714286][237, 367, 407, 416, 429, 439, 440, 448, 454, ...
16[40.00989590909091, 116.31485209090907][239, 240, 241, 405, 430, 432, 434, 453, 461, ...
17[40.0098577, 116.314587][35, 216, 252, 306, 435, 436, 437, 504, 527, 634]
18[40.00947433333333, 116.31559333333335][486, 488, 493, 495, 496, 497, 498, 500, 501, ...
19[40.00792366666667, 116.31262733333331][826, 827, 828, 829, 830, 831, 832, 833, 834, ...
20[40.009584800000006, 116.31491270000001][219, 253, 305, 392, 408, 441, 506, 578, 590, ...
21[40.007840741935496, 116.3195012580645][12, 13, 14, 15, 22, 23, 24, 26, 30, 31, 266, ...
22[40.006571833333346, 116.31778858333332][9, 11, 261, 262, 263, 291, 292, 293, 294, 295...
23[39.99661241666666, 116.27291554166665][872, 873, 874, 875, 876, 919, 920, 921, 922, ...
24[39.99661999999999, 116.27555850000002][862, 863, 864, 865, 866, 867, 868, 869, 870, ...
25[39.989553500000014, 116.27197426923075][885, 886, 887, 888, 889, 890, 891, 892, 893, ...
26[39.992524374999995, 116.27430650000001][877, 878, 879, 880, 881, 882, 883, 884, 911, ...
27[39.99728728571428, 116.26381164285714][947, 948, 949, 950, 951, 952, 953, 954, 955, ...
28[40.00045736363636, 116.26386681818181][961, 962, 963, 964, 965, 966, 967, 968, 969, ...
29[39.99600499999999, 116.29029709999998][849, 850, 851, 852, 853, 854, 855, 856, 992, ...
30[39.98576385, 116.41272174999999][89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 1...
31[39.89846146153847, 116.38943146153848][1075, 1076, 1077, 1078, 1079, 1080, 1081, 108...
32[39.9097909090909, 116.40469272727273][1037, 1038, 1039, 1040, 1041, 1042, 1043, 104...
33[40.043579, 116.60664570000002][119, 120, 121, 122, 123, 124, 125, 126, 127, ...
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centersclusters
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latitudelongitudedatetimehour_blockday_of_weekclusterNo
039.999869116.3269932008-12-02 16:00:00f16t20Tuesday17
139.999895116.3270392008-12-02 16:01:00f16t20Tuesday17
239.999880116.3257932008-12-02 16:02:00f16t20Tuesday17
340.012765116.3215832008-12-02 16:32:00f16t20Tuesday7
440.012546116.3215582008-12-02 16:33:00f16t20Tuesday7
.....................
49439.992033116.3262272008-12-03 11:25:00f08t12Wednesday1
49539.998787116.3266862008-12-03 11:31:00f08t12Wednesday17
49639.999864116.3273652008-12-03 11:32:00f08t12Wednesday17
49739.999924116.3274582008-12-03 11:33:00f08t12Wednesday17
49840.000083116.3273612008-12-03 11:34:00f08t12Wednesday17
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latitudelongitudedatetimehour_blockday_of_weekclusterNo
4039.985203116.4386782009-04-03 08:28:00f08t12Friday34
4139.980219116.4474482009-04-03 08:29:00f08t12Friday34
4239.977613116.4513822009-04-03 08:30:00f08t12Friday34
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4439.972856116.4588542009-04-03 08:32:00f08t12Friday34
4539.970485116.4622662009-04-03 08:33:00f08t12Friday34
4639.969027116.4626302009-04-03 08:34:00f08t12Friday34
4739.975647116.4697532009-04-03 08:35:00f08t12Friday34
5839.982451116.4769512009-04-03 09:28:00f08t12Friday34
5939.974493116.4679192009-04-03 09:29:00f08t12Friday34
6039.971779116.4619302009-04-03 09:30:00f08t12Friday34
6139.974268116.4569032009-04-03 09:31:00f08t12Friday34
6239.978733116.4500822009-04-03 09:32:00f08t12Friday34
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latitudelongitudedatetimehour_blockday_of_weeklabels
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440.004578116.3147742009-04-03 01:20:00f00t04Friday-1
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"origin_df1['labels'] = -1\n", + "for cluster_idx, (cluster, center) in enumerate(zip(data_df_1.clusters, data_df_1.centers)):\n", + " for point_idx in cluster:\n", + " origin_df1.iloc[point_idx] = cluster_idx\n", + " \n", + "origin_df1" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\1978855526.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n" + ] + }, + { + "data": { + "text/html": [ + "
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latitudelongitudedatetimelabels
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944 rows × 4 columns

\n", + "
" + ], + "text/plain": [ + " latitude longitude datetime labels\n", + "0 39.999840 116.327191 2009-01-20 00:28:00 -1\n", + "1 39.999991 116.326629 2009-01-20 00:29:00 -1\n", + "2 40.001186 116.325686 2009-01-20 00:30:00 -1\n", + "3 40.002164 116.324517 2009-01-20 00:31:00 -1\n", + "4 40.003486 116.323199 2009-01-20 00:32:00 -1\n", + ".. ... ... ... ...\n", + "939 32.057004 121.270890 2009-01-21 02:11:00 -1\n", + "940 32.057173 121.269710 2009-01-21 02:16:00 -1\n", + "941 32.056679 121.271410 2009-01-21 02:17:00 -1\n", + "942 32.056826 121.271292 2009-01-21 02:18:00 -1\n", + "943 32.056079 121.271327 2009-01-21 02:19:00 -1\n", + "\n", + "[944 rows x 4 columns]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2['labels'] = -1\n", + "for cluster_idx, (cluster, center) in enumerate(zip(data_df_2.clusters, data_df_2.centers)):\n", + " for point_idx in cluster:\n", + " df2['labels'].iloc[point_idx] = cluster_idx\n", + " \n", + "df2" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3144256473.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n" + ] + }, + { + "data": { + "text/html": [ + "
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latitudelongitudedatetimelabels
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716 rows × 4 columns

\n", + "
" + ], + "text/plain": [ + " latitude longitude datetime labels\n", + "0 39.999168 116.334129 2009-02-21 03:48:00 -1\n", + "1 39.999380 116.334245 2009-02-21 03:49:00 -1\n", + "2 40.000569 116.333664 2009-02-21 03:50:00 -1\n", + "3 40.000496 116.333412 2009-02-21 03:51:00 -1\n", + "4 40.000529 116.332941 2009-02-21 03:52:00 -1\n", + ".. ... ... ... ...\n", + "711 39.996333 116.338616 2009-02-21 22:52:00 -1\n", + "712 39.996465 116.338802 2009-02-21 22:53:00 -1\n", + "713 39.996531 116.338755 2009-02-21 22:54:00 -1\n", + "714 39.997935 116.338913 2009-02-21 22:55:00 -1\n", + "715 39.996862 116.338699 2009-02-21 22:56:00 -1\n", + "\n", + "[716 rows x 4 columns]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df3['labels'] = -1\n", + "for cluster_idx, (cluster, center) in enumerate(zip(data_df_3.clusters, data_df_3.centers)):\n", + " for point_idx in cluster:\n", + " df3['labels'].iloc[point_idx] = cluster_idx\n", + " \n", + "df3" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\3299083749.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n" + ] + }, + { + "data": { + "text/html": [ + "
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760 rows × 4 columns

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" + ], + "text/plain": [ + " latitude longitude datetime labels\n", + "0 39.998569 116.339200 2009-02-14 04:52:00 16\n", + "1 39.998634 116.338622 2009-02-14 04:53:00 8\n", + "2 39.998102 116.337258 2009-02-14 04:54:00 -1\n", + "3 39.997688 116.334919 2009-02-14 04:55:00 -1\n", + "4 39.997469 116.333972 2009-02-14 04:56:00 -1\n", + ".. ... ... ... ...\n", + "755 39.999533 116.338270 2009-02-14 23:35:00 25\n", + "756 39.998664 116.338281 2009-02-14 23:36:00 11\n", + "757 39.998998 116.337676 2009-02-14 23:37:00 -1\n", + "758 39.999212 116.338239 2009-02-14 23:38:00 22\n", + "759 39.998765 116.338476 2009-02-14 23:39:00 13\n", + "\n", + "[760 rows x 4 columns]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df4['labels'] = -1\n", + "for cluster_idx, (cluster, center) in enumerate(zip(data_df_4.clusters, data_df_4.centers)):\n", + " for point_idx in cluster:\n", + " df4['labels'].iloc[point_idx] = cluster_idx\n", + " \n", + "df4" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + "C:\\Users\\sk002\\AppData\\Local\\Temp\\ipykernel_10124\\2412946458.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n" + ] + }, + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " latitude longitude datetime labels\n", + "0 39.999869 116.326993 2008-12-02 16:00:00 14\n", + "1 39.999895 116.327039 2008-12-02 16:01:00 14\n", + "2 39.999880 116.325793 2008-12-02 16:02:00 14\n", + "3 40.000132 116.324713 2008-12-02 16:03:00 -1\n", + "4 40.001176 116.324511 2008-12-02 16:04:00 -1\n", + ".. ... ... ... ...\n", + "680 39.996573 116.326611 2008-12-03 11:30:00 -1\n", + "681 39.998787 116.326686 2008-12-03 11:31:00 14\n", + "682 39.999864 116.327365 2008-12-03 11:32:00 14\n", + "683 39.999924 116.327458 2008-12-03 11:33:00 14\n", + "684 40.000083 116.327361 2008-12-03 11:34:00 14\n", + "\n", + "[685 rows x 4 columns]" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df5['labels'] = -1\n", + "for cluster_idx, (cluster, center) in enumerate(zip(data_df_5.clusters, data_df_5.centers)):\n", + " for point_idx in cluster:\n", + " df5['labels'].iloc[point_idx] = cluster_idx\n", + " \n", + "df5" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "334\n", + "20\n", + "31\n", + "28\n", + "42\n", + "22\n", + "26\n", + "24\n", + "39\n", + "11\n", + "34\n", + "22\n", + "14\n", + "25\n", + "18\n", + "25\n", + "12\n", + "13\n", + "25\n", + "26\n", + "22\n", + "21\n", + "19\n", + "13\n", + "41\n", + "12\n", + "27\n", + "12\n", + "13\n", + "14\n", + "10\n", + "13\n", + "34\n", + "25\n", + "15\n", + "10\n", + "11\n", + "13\n", + "20\n", + "15\n", + "10\n", + "10\n" + ] + } + ], + "source": [ + "for i in range(-1, max(df1['labels']) + 1):\n", + " print(len(df1[df1['labels'] == i]))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

클러스터링 2번

" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import folium\n", + "\n", + "# 예제 데이터 생성 (서울의 위도, 경도)\n", + "locations = data_df_1.centers.values.tolist()\n", + "\n", + "# 지도의 중심 좌표 설정\n", + "map_center = [sum(x[0] for x in locations) / len(locations), sum(x[1] for x in locations) / len(locations)]\n", + "\n", + "# Folium 맵 생성\n", + "mymap = folium.Map(location=map_center, zoom_start=12)\n", + "\n", + "# 위치 데이터를 지도에 마커로 표시\n", + "for loc in locations:\n", + " folium.Marker(location=loc, popup='Location').add_to(mymap)\n", + "\n", + "# 지도를 HTML 파일로 저장하거나 주피터 노트북에서 바로 표시\n", + "mymap\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# 예제 데이터 생성 (서울의 위도, 경도)\n", + "locations = data_df_2.centers.values.tolist()\n", + "\n", + "# 지도의 중심 좌표 설정\n", + "map_center = [sum(x[0] for x in locations) / len(locations), sum(x[1] for x in locations) / len(locations)]\n", + "\n", + "# Folium 맵 생성\n", + "mymap = folium.Map(location=map_center, zoom_start=12)\n", + "\n", + "# 위치 데이터를 지도에 마커로 표시\n", + "for loc in locations:\n", + " folium.Marker(location=loc, popup='Location').add_to(mymap)\n", + "\n", + "# 지도를 HTML 파일로 저장하거나 주피터 노트북에서 바로 표시\n", + "mymap" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# 예제 데이터 생성 (서울의 위도, 경도)\n", + "locations = data_df_3.centers.values.tolist()\n", + "\n", + "# 지도의 중심 좌표 설정\n", + "map_center = [sum(x[0] for x in locations) / len(locations), sum(x[1] for x in locations) / len(locations)]\n", + "\n", + "# Folium 맵 생성\n", + "mymap = folium.Map(location=map_center, zoom_start=12)\n", + "\n", + "# 위치 데이터를 지도에 마커로 표시\n", + "for loc in locations:\n", + " folium.Marker(location=loc, popup='Location').add_to(mymap)\n", + "\n", + "# 지도를 HTML 파일로 저장하거나 주피터 노트북에서 바로 표시\n", + "mymap" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# 예제 데이터 생성 (서울의 위도, 경도)\n", + "locations = data_df_4.centers.values.tolist()\n", + "\n", + "# 지도의 중심 좌표 설정\n", + "map_center = [sum(x[0] for x in locations) / len(locations), sum(x[1] for x in locations) / len(locations)]\n", + "\n", + "# Folium 맵 생성\n", + "mymap = folium.Map(location=map_center, zoom_start=12)\n", + "\n", + "# 위치 데이터를 지도에 마커로 표시\n", + "for loc in locations:\n", + " folium.Marker(location=loc, popup='Location').add_to(mymap)\n", + "\n", + "# 지도를 HTML 파일로 저장하거나 주피터 노트북에서 바로 표시\n", + "mymap" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# 예제 데이터 생성 (서울의 위도, 경도)\n", + "locations = data_df_5.centers.values.tolist()\n", + "\n", + "# 지도의 중심 좌표 설정\n", + "map_center = [sum(x[0] for x in locations) / len(locations), sum(x[1] for x in locations) / len(locations)]\n", + "\n", + "# Folium 맵 생성\n", + "mymap = folium.Map(location=map_center, zoom_start=12)\n", + "\n", + "# 위치 데이터를 지도에 마커로 표시\n", + "for loc in locations:\n", + " folium.Marker(location=loc, popup='Location').add_to(mymap)\n", + "\n", + "# 지도를 HTML 파일로 저장하거나 주피터 노트북에서 바로 표시\n", + "mymap" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

실루엣 계수

" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df.iloc[1038]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "silhouette_avg = silhouette_score(df1[['latitude', 'longitude']], df1['labels'])\n", + "print(f'Silhouette Score: {silhouette_avg}')\n", + "\n", + "silhouette_avg = silhouette_score(df2[['latitude', 'longitude']], df2['labels'])\n", + "print(f'Silhouette Score: {silhouette_avg}')\n", + "\n", + "silhouette_avg = silhouette_score(df3[['latitude', 'longitude']], df3['labels'])\n", + "print(f'Silhouette Score: {silhouette_avg}')\n", + "\n", + "silhouette_avg = silhouette_score(df4[['latitude', 'longitude']], df4['labels'])\n", + "print(f'Silhouette Score: {silhouette_avg}')\n", + "\n", + "silhouette_avg = silhouette_score(df5[['latitude', 'longitude']], df5['labels'])\n", + "print(f'Silhouette Score: {silhouette_avg}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

T-SNE 시각화

" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# 데이터 X와 레이블 y를 사용한다고 가정\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "X_tsne = tsne.fit_transform(df1[['latitude', 'longitude']])\n", + "\n", + "sns.set_palette(\"deep\")\n", + "sns.scatterplot(x = X_tsne[:, 0], y = X_tsne[:, 1], hue=df1['labels'])\n", + "plt.legend(title='Label')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# 데이터 X와 레이블 y를 사용한다고 가정\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "X_tsne = tsne.fit_transform(df2[['latitude', 'longitude']])\n", + "\n", + "sns.set_palette(\"deep\")\n", + "sns.scatterplot(x = X_tsne[:, 0], y = X_tsne[:, 1], hue=df2['labels'])\n", + "plt.legend(title='Label')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# 데이터 X와 레이블 y를 사용한다고 가정\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "X_tsne = tsne.fit_transform(df3[['latitude', 'longitude']])\n", + "\n", + "sns.set_palette(\"deep\")\n", + "sns.scatterplot(x = X_tsne[:, 0], y = X_tsne[:, 1], hue=df3['labels'])\n", + "plt.legend(title='Label')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# 데이터 X와 레이블 y를 사용한다고 가정\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "X_tsne = tsne.fit_transform(df4[['latitude', 'longitude']])\n", + "\n", + "sns.set_palette(\"deep\")\n", + "sns.scatterplot(x = X_tsne[:, 0], y = X_tsne[:, 1], hue=df4['labels'])\n", + "plt.legend(title='Label')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# 데이터 X와 레이블 y를 사용한다고 가정\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "X_tsne = tsne.fit_transform(df5[['latitude', 'longitude']])\n", + "\n", + "sns.set_palette(\"deep\")\n", + "sns.scatterplot(x = X_tsne[:, 0], y = X_tsne[:, 1], hue=df5['labels'])\n", + "plt.legend(title='Label')\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/ai/LocationAnalyzer.py b/ai/LocationAnalyzer.py new file mode 100644 index 00000000..ed841d80 --- /dev/null +++ b/ai/LocationAnalyzer.py @@ -0,0 +1,127 @@ +from pyclustering.cluster.gmeans import gmeans +from collections import Counter +import numpy as np +import pandas as pd +import warnings + +warnings.simplefilter(action='ignore', category=FutureWarning) # FutureWarning 제거 +pd.set_option('mode.chained_assignment', None) + +class LocationAnalyzer: + def __init__(self, filename): + self.df = self.fileReader(filename) + + # 파일 읽기 + # 데이터 예시 (39.984702,116.318417,0,492,39744.1201851852,2008-10-23,02:53:04) + # (위도, 경도, 0, 고도, 1899년 이후 경과한 시간, 날짜, 시간) + def fileReader(self, filename): + + latitude = [] # 위도 + longitude = [] # 경도 + date = [] # 날짜 + time = [] # 시간 + + with open(filename, 'r') as file: + data = file.read() + + # 데이터에 불필요한 부분 제거 + # 추후 데이터 형식에 따라 수정 필요 * + # data = data.split('\n')[:-1] + data = data.split('\n')[6:-1] + for i in range(len(data)): + line = data[i].split(',') + latitude.append(line[0]) # 위도 + longitude.append(line[1]) # 경도 + #date.append(line[2]) # 날짜 + #time.append(line[3]) # 시간 + date.append(line[5]) + time.append(line[6]) + df = pd.DataFrame({"latitude":latitude, "longitude":longitude, "date":date, "time":time}) + + + df['latitude'] = df['latitude'].astype(float) + df['longitude'] = df['longitude'].astype(float) + df['datetime'] = pd.to_datetime(df['date'] + ' ' + df['time'], format='%Y-%m-%d %H:%M:%S') + df['datetime'] = df['datetime'].dt.floor('T') + # 시간대와 요일 추가 + # 시간대 형식 : f00t04 f20t24 + # 4시간 단위로 분리 + df['hour_block'] = 'f' + ((df['datetime'].dt.hour) // 4 * 4).astype(str).str.zfill(2) + 't' + ((df['datetime'].dt.hour + 4) // 4 * 4).astype(str).str.zfill(2) + df['day_of_week'] = df['datetime'].dt.day_name() + df = df.drop(['date', 'time'], axis=1) + df = df.drop_duplicates(['datetime'], ignore_index=True) + + return df + + # 의미장소 추출 + def gmeansFit(self, df): + # 두 열을 선택하고 넘파이 배열로 변환 + selectedColumns = ['latitude', 'longitude'] + resultList = df[selectedColumns].values.tolist() # 리스트로 변환 + + gmeansInstance = gmeans(resultList).process() # 클러스터링 + + centers = gmeansInstance.get_centers() # 클러스터의 중심 (의미장소) + clusters = gmeansInstance.get_clusters() # 분류된 클러스터 + + + return clusters, centers + + # 호출 함수 + def gmeansFunc(self): + + + clusters, centers = self.gmeansFit(self.df) + + data_df = pd.DataFrame({"clusters":clusters, "centers":centers}) + + for k in range(len(data_df.clusters)): + if (len(data_df.clusters[k]) < 10): + data_df.drop(index=k, inplace=True) + data_df = data_df.sort_index(axis=1) + data_df = data_df.reset_index(drop=True) + + self.df['clusterNo'] = -1 + for i in range(len(data_df)): + for j in range(len(data_df['clusters'].iloc[i])): + k = data_df['clusters'].iloc[i][j] + self.df['clusterNo'].iloc[k] = i + + self.df = self.df[self.df['clusterNo'] != -1] + + + data_df['hour_block'] = 0 + data_df['day_of_week'] = 0 + for i in range(max(self.df['clusterNo'])+1): + + counter = Counter(self.df[self.df['clusterNo'] == i]['hour_block']) + most_hour_value = counter.most_common(1)[0][0] + + counter = Counter(self.df[self.df['clusterNo'] == i]['day_of_week']) + most_day_value = counter.most_common(1)[0][0] + + data_df['hour_block'].iloc[i] = most_hour_value + data_df['day_of_week'].iloc[i] = most_day_value + + data_list = data_df.values.tolist() + return data_list + + + +if __name__ == '__main__': + # 파일 경로 가져오기 + filePath = r"C:\Users\sk002\OneDrive\바탕 화면\학교\Yoodori\Geolife Trajectories 1.3\Data\003\Trajectory\20081202160051.txt" + la = LocationAnalyzer(filePath) + + data = la.gmeansFunc() + + + print(data[1]) + print(data[1][0]) + print(data[1][0][0]) # latitude + print(data[1][0][1]) # longitude + print(data[1][2]) # time + print(data[1][3]) # w + + print(type(data[1][2])) + print(type(data[1][3])) diff --git a/ai/LocationPredict.ipynb b/ai/LocationPredict.ipynb new file mode 100644 index 00000000..02aa4521 --- /dev/null +++ b/ai/LocationPredict.ipynb @@ -0,0 +1,3052 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import tensorflow as tf\n", + "import json\n", + "from scipy.spatial import distance\n", + "from tensorflow.keras.layers import Dense\n", + "from tensorflow.keras.layers import LSTM\n", + "from tensorflow.keras.layers import Dropout\n", + "from tensorflow.keras.layers import Activation\n", + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.optimizers import Adam\n", + "from tensorflow.keras.losses import MSE\n", + "from tensorflow.keras.callbacks import EarlyStopping\n", + "from tensorflow.keras.callbacks import ModelCheckpoint\n", + "from tensorflow.keras.callbacks import ReduceLROnPlateau" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "class ForecastLSTM:\n", + " def __init__(self, random_seed: int = 1234):\n", + " self.random_seed = random_seed" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def reshape_dataset(self, df: pd.DataFrame) -> np.array:\n", + " if \"y\" in df.columns:\n", + " df = df.drop(columns=[\"y\"]).assign(y=df[\"y\"])\n", + " else:\n", + " raise KeyError(\"Not found 'y' in dataset\")\n", + " \n", + " dataset = df.values.reshape(df.shape)\n", + " return dataset\n", + "\n", + "ForecastLSTM.reshape_dataset = reshape_dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def split_sequences(\n", + " self, dataset: np.array, seq_len: int, steps: int, single_output: bool\n", + ") -> tuple:\n", + " \n", + " # feature와 y 각각 sequential dataset을 반환할 리스트\n", + " X, y = list(), list()\n", + " # sequence length와 step에 따라 생성\n", + " for i, _ in enumerate(dataset):\n", + " idx_in = i + seq_len\n", + " idx_out = idx_in + steps\n", + " if idx_out > len(dataset):\n", + " break\n", + " seq_x = dataset[i:idx_in, :-1]\n", + " if single_output:\n", + " seq_y = dataset[idx_out -1 : idx_out, -1]\n", + " else:\n", + " seq_y = dataset[idx_in:idx_out, -1]\n", + "\n", + " X.append(seq_x)\n", + " y.append(seq_y)\n", + "\n", + " return np.array(X), np.array(y)\n", + "\n", + "ForecastLSTM.split_sequences = split_sequences" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def split_train_valid_dataset(\n", + " self, df: pd.DataFrame,\n", + " seq_len: int,\n", + " steps: int,\n", + " single_output: bool,\n", + " validation_split: float = 0.2,\n", + " verbose: bool = True\n", + ") -> tuple:\n", + " # df -> np.array\n", + " dataset = self.reshape_dataset(df=df)\n", + "\n", + " # feature, y를 sequential dataset으로 분리\n", + " X, y = self.split_sequences(\n", + " dataset=dataset,\n", + " seq_len=seq_len,\n", + " steps=steps,\n", + " single_output=single_output\n", + " )\n", + "\n", + " # X, y에서 validation dataset 분리\n", + " dataset_size = len(X)\n", + " train_size = int(dataset_size * (1-validation_split))\n", + " X_train, y_train = X[:train_size, :], y[:train_size, :]\n", + " X_val, y_val = X[train_size:, :], y[train_size:, :]\n", + " if verbose:\n", + " print(f\" >>> X_train: {X_train.shape}\")\n", + " print(f\" >>> y_train: {y_train.shape}\")\n", + " print(f\" >>> X_val: {X_val.shape}\")\n", + " print(f\" >>> y_val: {y_val.shape}\")\n", + " return X_train, y_train, X_val, y_val\n", + "\n", + "\n", + "ForecastLSTM.split_train_valid_dataset = split_train_valid_dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def build_and_compile_lstm_model(\n", + " self,\n", + " seq_len: int,\n", + " n_features: int,\n", + " lstm_units: list,\n", + " learning_rate: float,\n", + " dropout: float,\n", + " steps: int,\n", + " metrics: list,\n", + " single_output: bool,\n", + " last_lstm_return_sequences: bool = False,\n", + " dense_units: list = None,\n", + " activation: str = None\n", + "):\n", + " tf.random.set_seed(self.random_seed)\n", + " model = Sequential()\n", + "\n", + " if len(lstm_units) > 1:\n", + " model.add(\n", + " LSTM(\n", + " units=lstm_units[0],\n", + " activation=activation,\n", + " return_sequences=True,\n", + " input_shape=(seq_len, n_features)\n", + " )\n", + " )\n", + " lstm_layers = lstm_units[1:]\n", + " for i, n_units in enumerate(lstm_layers, start=1):\n", + " if i == len(lstm_layers):\n", + " if single_output:\n", + " return_sequences = False\n", + " else:\n", + " return_sequences = last_lstm_return_sequences\n", + " model.add(\n", + " LSTM(\n", + " units=n_units,\n", + " activation=activation,\n", + " return_sequences=return_sequences\n", + " )\n", + " )\n", + " else:\n", + " model.add(\n", + " LSTM(\n", + " units=n_units,\n", + " activation=activation,\n", + " return_sequences=True\n", + " )\n", + " )\n", + " else:\n", + " if single_output:\n", + " return_sequences = False\n", + " else:\n", + " return_sequences = last_lstm_return_sequences\n", + " model.add(\n", + " LSTM(\n", + " units=lstm_units[0],\n", + " activation=activation,\n", + " return_sequences=return_sequences,\n", + " input_shape=(seq_len, n_features),\n", + " )\n", + " )\n", + "\n", + " if single_output:\n", + " if dense_units:\n", + " for n_units in dense_units:\n", + " model.add(Dense(units=n_units, activation=activation))\n", + " if dropout > 0:\n", + " model.add(Dropout(rate=dropout))\n", + " model.add(Dense(1))\n", + " else:\n", + " if last_lstm_return_sequences:\n", + " model.add(Flatten())\n", + " if dense_units:\n", + " for n_units in dense_units:\n", + " model.add(Dense(units=n_units, activation=activation))\n", + " if dropout > 0:\n", + " model.add(Dropout(rate=dropout))\n", + " model.add(Dense(units=steps))\n", + "\n", + " optimizer = Adam(learning_rate=learning_rate)\n", + " model.compile(optimizer=optimizer, loss=MSE, metrics=metrics)\n", + " return model\n", + "\n", + "\n", + "ForecastLSTM.build_and_compile_lstm_model = build_and_compile_lstm_model" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def fit_lstm(\n", + " self,\n", + " df: pd.DataFrame,\n", + " steps: int,\n", + " lstm_units: list,\n", + " activation: str,\n", + " dropout: float = 0,\n", + " seq_len: int = 10,\n", + " single_output: bool = False,\n", + " epochs: int = 50,\n", + " batch_size: int = None,\n", + " steps_per_epoch: int = None,\n", + " learning_rate: float = 0.001,\n", + " patience: int = 10,\n", + " validation_split: float = 0.2,\n", + " last_lstm_return_sequences: bool = False,\n", + " dense_units: list = None,\n", + " metrics: list = [\"mse\"],\n", + " check_point_path: str = None,\n", + " verbose: bool = False,\n", + " plot: bool = True\n", + "):\n", + " \n", + " np.random.seed(self.random_seed)\n", + " tf.random.set_seed(self.random_seed)\n", + " (\n", + " self.X_train,\n", + " self.y_train,\n", + " self.X_val,\n", + " self.y_val\n", + " ) = self.split_train_valid_dataset(\n", + " df=df,\n", + " seq_len=seq_len,\n", + " steps=steps,\n", + " validation_split=validation_split,\n", + " single_output=single_output,\n", + " verbose=verbose\n", + " )\n", + "\n", + " n_features = df.shape[1] - 1\n", + " self.model = self.build_and_compile_lstm_model(\n", + " seq_len=seq_len,\n", + " n_features=n_features,\n", + " lstm_units=lstm_units,\n", + " activation=activation,\n", + " learning_rate=learning_rate,\n", + " dropout=dropout,\n", + " steps=steps,\n", + " last_lstm_return_sequences=last_lstm_return_sequences,\n", + " dense_units=dense_units,\n", + " metrics=metrics,\n", + " single_output=single_output,\n", + " )\n", + "\n", + " # best model save\n", + " if check_point_path is not None:\n", + " checkpoint_path = f\"checkpoint/lstm_{check_point_path}.h5\"\n", + " checkpoint = ModelCheckpoint(\n", + " filepath=checkpoint_path,\n", + " save_weights_only=False,\n", + " save_best_only=True,\n", + " monitor=\"val_loss\",\n", + " verbose=verbose,\n", + " )\n", + " rlr = ReduceLROnPlateau(\n", + " monitor=\"val_loss\", factor=0.5, patience=patience, verbose=verbose\n", + " )\n", + " callbacks = [checkpoint, EarlyStopping(patience=patience), rlr]\n", + " else:\n", + " rlr = ReduceLROnPlateau(\n", + " monitor=\"val_loss\", factor=0.5, patience=patience, verbose=verbose\n", + " )\n", + " callbacks = [EarlyStopping(patience=patience), rlr]\n", + "\n", + " self.history = self.model.fit(\n", + " self.X_train,\n", + " self.y_train,\n", + " batch_size=batch_size,\n", + " steps_per_epoch=steps_per_epoch,\n", + " validation_data=(self.X_val, self.y_val),\n", + " epochs=epochs,\n", + " verbose=verbose,\n", + " callbacks=callbacks,\n", + " shuffle=False,\n", + " )\n", + "\n", + " if check_point_path is not None: \n", + " self.model.load_weights(f\"checkpoint/lstm_{check_point_path}.h5\")\n", + "\n", + " # 시각화\n", + " if plot:\n", + " plt.figure(figsize=(12, 6))\n", + " plt.plot(self.history.history[f\"{metrics[0]}\"])\n", + " plt.plot(self.history.history[f\"val_{metrics[0]}\"])\n", + " plt.title(\"Performance Metric\")\n", + " plt.xlabel(\"Epoch\")\n", + " plt.ylabel(f\"{metrics[0]}\")\n", + " if metrics == \"mape\":\n", + " plt.axhline(y=10, xmin=0, xmax=1, color=\"grey\", ls=\"--\", alpha=0.5)\n", + " plt.legend([\"Train\", \"Validation\"], loc=\"upper right\")\n", + " plt.show()\n", + "\n", + "\n", + "ForecastLSTM.fit_lstm = fit_lstm " + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "def forecast_validation_dataset(self) -> pd.DataFrame:\n", + " y_pred_list, y_val_list = list(), list()\n", + "\n", + " for x_val, y_val in zip(self.X_val, self.y_val):\n", + " x_val = np.expand_dims(\n", + " x_val, axis=0\n", + " ) # (seq_len, n_features) -> (1, seq_len, n_features)\n", + " y_pred = self.model.predict(x_val)[0]\n", + " y_pred_list.extend(y_pred.tolist())\n", + " y_val_list.extend(y_val.tolist())\n", + " return pd.DataFrame({\"y\": y_val_list, \"yhat\": y_pred_list})\n", + "\n", + "\n", + "ForecastLSTM.forecast_validation_dataset = forecast_validation_dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_metrics(df_fcst: pd.DataFrame) -> dict:\n", + " true = df_fcst[\"y\"]\n", + " pred = df_fcst[\"yhat\"]\n", + "\n", + " mae = (true - pred).abs().mean()\n", + " mape = (true - pred).abs().div(true).mean() * 100\n", + " mse = ((true - pred) ** 2).mean()\n", + " return {\n", + " \"mae\": mae,\n", + " \"mape\": mape,\n", + " \"mse\": mse,\n", + " }" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

데이터 전처리

" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "from pyclustering.cluster.gmeans import gmeans\n", + "from collections import Counter\n", + "\n", + "class LocationAnalyzer:\n", + " def __init__(self, filename):\n", + " self.df = self.fileReader(filename)\n", + "\n", + " # 파일 읽기\n", + " # 데이터 예시 (39.984702,116.318417,0,492,39744.1201851852,2008-10-23,02:53:04)\n", + " # (위도, 경도, 0, 고도, 1899년 이후 경과한 시간, 날짜, 시간)\n", + " def fileReader(self, filename):\n", + "\n", + " latitude = [] # 위도\n", + " longitude = [] # 경도\n", + " date = [] # 날짜\n", + " time = [] # 시간\n", + "\n", + " with open(filename, 'r') as file:\n", + " data = file.read()\n", + "\n", + " # 데이터에 불필요한 부분 제거\n", + " # 추후 데이터 형식에 따라 수정 필요 *\n", + " data = data.split('\\n')[:-1]\n", + " for i in range(len(data)):\n", + " line = data[i].split(',')\n", + " latitude.append(line[0]) # 위도\n", + " longitude.append(line[1]) # 경도\n", + " date.append(line[2]) # 날짜\n", + " df = pd.DataFrame({\"latitude\":latitude, \"longitude\":longitude, \"datetime\":date})\n", + "\n", + " \n", + " df['latitude'] = df['latitude'].astype(float)\n", + " df['longitude'] = df['longitude'].astype(float)\n", + " df['datetime'] = pd.to_datetime(df['datetime'], format=' %Y-%m-%d %H:%M:%S')\n", + " df['datetime'] = df['datetime'].dt.floor('T')\n", + " # 시간대와 요일 추가\n", + " # 시간대 형식 : f00t04 f20t24\n", + " # 4시간 단위로 분리\n", + " df['hour_block'] = 'f' + ((df['datetime'].dt.hour) // 4 * 4).astype(str).str.zfill(2) + 't' + ((df['datetime'].dt.hour + 4) // 4 * 4).astype(str).str.zfill(2)\n", + " df['day_of_week'] = df['datetime'].dt.day_name()\n", + " df = df.drop_duplicates(['datetime'], ignore_index=True)\n", + "\n", + " return df\n", + "\n", + " # 의미장소 추출\n", + " def gmeansFit(self, df):\n", + " # 두 열을 선택하고 넘파이 배열로 변환\n", + " selectedColumns = ['latitude', 'longitude']\n", + " resultList = df[selectedColumns].values.tolist() # 리스트로 변환\n", + " \n", + " gmeansInstance = gmeans(resultList).process() # 클러스터링\n", + "\n", + " centers = gmeansInstance.get_centers() # 클러스터의 중심 (의미장소)\n", + " clusters = gmeansInstance.get_clusters() # 분류된 클러스터\n", + "\n", + "\n", + " return clusters, centers\n", + " \n", + " # 호출 함수\n", + " def gmeansFunc(self):\n", + "\n", + "\n", + " clusters, centers = self.gmeansFit(self.df)\n", + "\n", + " data_df = pd.DataFrame({\"clusters\":clusters, \"centers\":centers})\n", + " \n", + " for k in range(len(data_df.clusters)):\n", + " if (len(data_df.clusters[k]) < 10):\n", + " data_df.drop(index=k, inplace=True)\n", + " data_df = data_df.sort_index(axis=1)\n", + " data_df = data_df.reset_index(drop=True)\n", + " \n", + " self.df['clusterNo'] = -1\n", + " for i in range(len(data_df)):\n", + " for j in range(len(data_df['clusters'].iloc[i])):\n", + " k = data_df['clusters'].iloc[i][j]\n", + " self.df['clusterNo'].iloc[k] = i\n", + "\n", + " self.df = self.df[self.df['clusterNo'] != -1]\n", + "\n", + "\n", + " data_df['hour_block'] = 0\n", + " data_df['day_of_week'] = 0\n", + " for i in range(max(self.df['clusterNo'])+1):\n", + " \n", + " counter = Counter(self.df[self.df['clusterNo'] == i]['hour_block'])\n", + " most_hour_value = counter.most_common(1)[0][0]\n", + "\n", + " counter = Counter(self.df[self.df['clusterNo'] == i]['day_of_week'])\n", + " most_day_value = counter.most_common(1)[0][0]\n", + "\n", + " data_df['hour_block'].iloc[i] = most_hour_value\n", + " data_df['day_of_week'].iloc[i] = most_day_value\n", + "\n", + " data_list = data_df.values.tolist()\n", + " return data_df" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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centersclustershour_blockday_of_week
0[37.53847639999999, 126.9474018][158, 159, 160, 161, 162, 163, 164, 165, 166, ...f20t24Thursday
1[37.538616850000004, 126.94723301666666][171, 179, 180, 181, 182, 183, 192, 193, 194, ...f20t24Thursday
2[37.53325464545454, 126.94988599090911][216, 217, 218, 219, 220, 221, 222, 223, 224, ...f20t24Thursday
3[37.530839900000004, 126.95448706000002][0, 1, 232, 233, 234, 235, 236, 237, 238, 239]f20t24Thursday
4[37.43814688, 127.00081278999998][22, 23, 24, 25, 26, 27, 28, 29, 30, 31]f12t16Thursday
...............
146[37.52903489999998, 126.95359939999996][241, 242, 243, 244, 245, 246, 247, 248, 249, ...f04t08Wednesday
147[37.52905880000002, 126.95361909999994][187, 188, 189, 190, 191, 192, 193, 194, 195, ...f04t08Wednesday
148[37.528942600000015, 126.95362670000002][144, 145, 146, 147, 148, 149, 150, 151, 152, ...f00t04Wednesday
149[37.52895880000002, 126.95358100000007][265, 266, 267, 268, 269, 270, 271, 272, 273, ...f04t08Wednesday
150[37.5291904, 126.9536064][401, 402, 403, 404, 405, 406, 407, 408, 409, ...f08t12Wednesday
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151 rows × 4 columns

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" + ], + "text/plain": [ + " centers \n", + "0 [37.53847639999999, 126.9474018] \\\n", + "1 [37.538616850000004, 126.94723301666666] \n", + "2 [37.53325464545454, 126.94988599090911] \n", + "3 [37.530839900000004, 126.95448706000002] \n", + "4 [37.43814688, 127.00081278999998] \n", + ".. ... \n", + "146 [37.52903489999998, 126.95359939999996] \n", + "147 [37.52905880000002, 126.95361909999994] \n", + "148 [37.528942600000015, 126.95362670000002] \n", + "149 [37.52895880000002, 126.95358100000007] \n", + "150 [37.5291904, 126.9536064] \n", + "\n", + " clusters hour_block day_of_week \n", + "0 [158, 159, 160, 161, 162, 163, 164, 165, 166, ... f20t24 Thursday \n", + "1 [171, 179, 180, 181, 182, 183, 192, 193, 194, ... f20t24 Thursday \n", + "2 [216, 217, 218, 219, 220, 221, 222, 223, 224, ... f20t24 Thursday \n", + "3 [0, 1, 232, 233, 234, 235, 236, 237, 238, 239] f20t24 Thursday \n", + "4 [22, 23, 24, 25, 26, 27, 28, 29, 30, 31] f12t16 Thursday \n", + ".. ... ... ... \n", + "146 [241, 242, 243, 244, 245, 246, 247, 248, 249, ... f04t08 Wednesday \n", + "147 [187, 188, 189, 190, 191, 192, 193, 194, 195, ... f04t08 Wednesday \n", + "148 [144, 145, 146, 147, 148, 149, 150, 151, 152, ... f00t04 Wednesday \n", + "149 [265, 266, 267, 268, 269, 270, 271, 272, 273, ... f04t08 Wednesday \n", + "150 [401, 402, 403, 404, 405, 406, 407, 408, 409, ... f08t12 Wednesday \n", + "\n", + "[151 rows x 4 columns]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import os\n", + "folders = os.listdir(r\"C:\\Users\\sk002\\OneDrive\\바탕 화면\\새 폴더\\la\")\n", + "\n", + "os.chdir(r\"C:\\Users\\sk002\\OneDrive\\바탕 화면\\새 폴더\\la\")\n", + "\n", + "data = pd.DataFrame()\n", + "for files in folders:\n", + " df = pd.read_csv(files, encoding='UTF8', index_col=0)\n", + " data = pd.concat([data, df])\n", + "\n", + "index = list(range(len(data)))\n", + "\n", + "data.index = index\n", + "\n", + "df = data\n", + "\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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centersclustershour_blockday_of_weeklatitudelongitude
0[37.53847639999999, 126.9474018][158, 159, 160, 161, 162, 163, 164, 165, 166, ...f20t24Thursday37.538476126.947402
1[37.538616850000004, 126.94723301666666][171, 179, 180, 181, 182, 183, 192, 193, 194, ...f20t24Thursday37.538617126.947233
2[37.53325464545454, 126.94988599090911][216, 217, 218, 219, 220, 221, 222, 223, 224, ...f20t24Thursday37.533255126.949886
3[37.530839900000004, 126.95448706000002][0, 1, 232, 233, 234, 235, 236, 237, 238, 239]f20t24Thursday37.530840126.954487
4[37.43814688, 127.00081278999998][22, 23, 24, 25, 26, 27, 28, 29, 30, 31]f12t16Thursday37.438147127.000813
.....................
146[37.52903489999998, 126.95359939999996][241, 242, 243, 244, 245, 246, 247, 248, 249, ...f04t08Wednesday37.529035126.953599
147[37.52905880000002, 126.95361909999994][187, 188, 189, 190, 191, 192, 193, 194, 195, ...f04t08Wednesday37.529059126.953619
148[37.528942600000015, 126.95362670000002][144, 145, 146, 147, 148, 149, 150, 151, 152, ...f00t04Wednesday37.528943126.953627
149[37.52895880000002, 126.95358100000007][265, 266, 267, 268, 269, 270, 271, 272, 273, ...f04t08Wednesday37.528959126.953581
150[37.5291904, 126.9536064][401, 402, 403, 404, 405, 406, 407, 408, 409, ...f08t12Wednesday37.529190126.953606
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151 rows × 6 columns

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" + ], + "text/plain": [ + " centers \n", + "0 [37.53847639999999, 126.9474018] \\\n", + "1 [37.538616850000004, 126.94723301666666] \n", + "2 [37.53325464545454, 126.94988599090911] \n", + "3 [37.530839900000004, 126.95448706000002] \n", + "4 [37.43814688, 127.00081278999998] \n", + ".. ... \n", + "146 [37.52903489999998, 126.95359939999996] \n", + "147 [37.52905880000002, 126.95361909999994] \n", + "148 [37.528942600000015, 126.95362670000002] \n", + "149 [37.52895880000002, 126.95358100000007] \n", + "150 [37.5291904, 126.9536064] \n", + "\n", + " clusters hour_block day_of_week \n", + "0 [158, 159, 160, 161, 162, 163, 164, 165, 166, ... f20t24 Thursday \\\n", + "1 [171, 179, 180, 181, 182, 183, 192, 193, 194, ... f20t24 Thursday \n", + "2 [216, 217, 218, 219, 220, 221, 222, 223, 224, ... f20t24 Thursday \n", + "3 [0, 1, 232, 233, 234, 235, 236, 237, 238, 239] f20t24 Thursday \n", + "4 [22, 23, 24, 25, 26, 27, 28, 29, 30, 31] f12t16 Thursday \n", + ".. ... ... ... \n", + "146 [241, 242, 243, 244, 245, 246, 247, 248, 249, ... f04t08 Wednesday \n", + "147 [187, 188, 189, 190, 191, 192, 193, 194, 195, ... f04t08 Wednesday \n", + "148 [144, 145, 146, 147, 148, 149, 150, 151, 152, ... f00t04 Wednesday \n", + "149 [265, 266, 267, 268, 269, 270, 271, 272, 273, ... f04t08 Wednesday \n", + "150 [401, 402, 403, 404, 405, 406, 407, 408, 409, ... f08t12 Wednesday \n", + "\n", + " latitude longitude \n", + "0 37.538476 126.947402 \n", + "1 37.538617 126.947233 \n", + "2 37.533255 126.949886 \n", + "3 37.530840 126.954487 \n", + "4 37.438147 127.000813 \n", + ".. ... ... \n", + "146 37.529035 126.953599 \n", + "147 37.529059 126.953619 \n", + "148 37.528943 126.953627 \n", + "149 37.528959 126.953581 \n", + "150 37.529190 126.953606 \n", + "\n", + "[151 rows x 6 columns]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "datalist = []\n", + "for i in range(len(df)):\n", + " data = json.loads(df['centers'].iloc[i])\n", + " datalist.append(data)\n", + "datalist\n", + "\n", + "latitude = [pair[0] for pair in datalist]\n", + "longitude = [pair[1] for pair in datalist]\n", + "\n", + "df['latitude'] = latitude\n", + "df['longitude'] = longitude\n", + "\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[20,\n", + " 20,\n", + " 20,\n", + " 20,\n", + " 12,\n", + " 12,\n", + " 16,\n", + " 12,\n", + " 12,\n", + " 0,\n", + " 4,\n", + " 4,\n", + " 0,\n", + " 12,\n", + " 8,\n", + " 0,\n", + " 4,\n", + " 12,\n", + " 4,\n", + " 12,\n", + " 8,\n", + " 20,\n", + " 16,\n", + " 20,\n", + " 16,\n", + " 0,\n", + " 0,\n", + " 0,\n", + " 12,\n", + " 12,\n", + " 4,\n", + " 8,\n", + " 12,\n", + " 12,\n", + " 8,\n", + " 4,\n", + " 8,\n", + " 4,\n", + " 12,\n", + " 8,\n", + " 12,\n", + " 8,\n", + " 8,\n", + " 4,\n", + " 4,\n", + " 4,\n", + " 8,\n", + " 4,\n", + " 8,\n", + " 16,\n", + " 16,\n", + " 12,\n", + " 16,\n", + " 16,\n", + " 12,\n", + " 8,\n", + " 16,\n", + " 12,\n", + " 12,\n", + " 16,\n", + " 20,\n", + " 16,\n", + " 16,\n", + " 20,\n", + " 16,\n", + " 16,\n", + " 20,\n", + " 20,\n", + " 0,\n", + " 0,\n", + " 8,\n", + " 8,\n", + " 8,\n", + " 0,\n", + " 12,\n", + " 8,\n", + " 0,\n", + " 8,\n", + " 0,\n", + " 12,\n", + " 12,\n", + " 16,\n", + " 16,\n", + " 12,\n", + " 20,\n", + " 0,\n", + " 0,\n", + " 12,\n", + " 4,\n", + " 0,\n", + " 8,\n", + " 0,\n", + " 0,\n", + " 20,\n", + " 12,\n", + " 20,\n", + " 20,\n", + " 16,\n", + " 16,\n", + " 16,\n", + " 20,\n", + " 16,\n", + " 16,\n", + " 16,\n", + " 16,\n", + " 20,\n", + " 16,\n", + " 20,\n", + " 12,\n", + " 8,\n", + " 12,\n", + " 20,\n", + " 12,\n", + " 12,\n", + " 12,\n", + " 16,\n", + " 16,\n", + " 16,\n", + " 16,\n", + " 16,\n", + " 16,\n", + " 16,\n", + " 4,\n", + " 4,\n", + " 4,\n", + " 16,\n", + " 20,\n", + " 16,\n", + " 20,\n", + " 16,\n", + " 20,\n", + " 16,\n", + " 16,\n", + " 16,\n", + " 20,\n", + " 16,\n", + " 20,\n", + " 0,\n", + " 4,\n", + " 0,\n", + " 0,\n", + " 0,\n", + " 4,\n", + " 8,\n", + " 0,\n", + " 4,\n", + " 4,\n", + " 4,\n", + " 0,\n", + " 4,\n", + " 8]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "new_data = []\n", + "for item in df['hour_block']:\n", + " # \"f\"와 \"t\"를 제외한 나머지 부분을 추출하여 숫자로 변환\n", + " num = int(item[1:-3])\n", + " new_data.append(num)\n", + "\n", + "new_data" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "df['hour_block'] = new_data" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "# 요일을 인덱스화\n", + "\n", + "def convert_day_to_number(day):\n", + " weekdays = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']\n", + " return weekdays.index(day)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "df['day_of_week'] = df['day_of_week'].apply(convert_day_to_number)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " latitude longitude hour_block day_of_week\n", + "0 37.538476 126.947402 20 3\n", + "1 37.538617 126.947233 20 3\n", + "2 37.533255 126.949886 20 3\n", + "3 37.530840 126.954487 20 3\n", + "4 37.438147 127.000813 12 3\n", + ".. ... ... ... ...\n", + "146 37.529035 126.953599 4 2\n", + "147 37.529059 126.953619 4 2\n", + "148 37.528943 126.953627 0 2\n", + "149 37.528959 126.953581 4 2\n", + "150 37.529190 126.953606 8 2\n", + "\n", + "[151 rows x 4 columns]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "meaningful_df = df[['latitude', 'longitude', 'hour_block', 'day_of_week']]\n", + "meaningful_df" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "def fileReader(filename):\n", + "\n", + " latitude = [] # 위도\n", + " longitude = [] # 경도\n", + " date = [] # 날짜\n", + " status = [] # 이동상태\n", + "\n", + " with open(filename, 'r') as file:\n", + " data = file.read()\n", + "\n", + " # 데이터에 불필요한 부분 제거\n", + " # 추후 데이터 형식에 따라 수정 필요 *\n", + " data = data.split('\\n')\n", + " #data = data.split('\\n')[6:-1]\n", + " for i in range(len(data)):\n", + " line = data[i].split(',')\n", + " latitude.append(line[0]) # 위도\n", + " longitude.append(line[1]) # 경도\n", + " date.append(line[2]) # 날짜\n", + " status.append(line[3])\n", + "\n", + " #df = pd.DataFrame({\"latitude\":latitude, \"longitude\":longitude, \"date\":date, \"time\":time})\n", + " df = pd.DataFrame({\"latitude\":latitude, \"longitude\":longitude, \"datetime\":date, \"status\":status})\n", + " \n", + " df['latitude'] = df['latitude'].astype(float)\n", + " df['longitude'] = df['longitude'].astype(float)\n", + " df['status'] = df['status'].astype(int)\n", + " #df['datetime'] = pd.to_datetime(df['date'] + ' ' + df['time'], format='%Y-%m-%d %H:%M:%S')\n", + " df['datetime'] = pd.to_datetime(df['datetime'], format=' %Y-%m-%d %H:%M:%S')\n", + " df['datetime'] = df['datetime'].dt.floor('T')\n", + " # 시간대와 요일 추가\n", + " # 시간대 형식 : f00t04 f20t24\n", + " # 4시간 단위로 분리\n", + " df['hour_block'] = 'f' + ((df['datetime'].dt.hour) // 4 * 4).astype(str).str.zfill(2) + 't' + ((df['datetime'].dt.hour + 4) // 4 * 4).astype(str).str.zfill(2)\n", + " df['day_of_week'] = df['datetime'].dt.day_name()\n", + " #df = df.drop(['date', 'time'], axis=1)\n", + " df = df.drop_duplicates(['datetime'], ignore_index=True)\n", + "\n", + " new_data = []\n", + " for item in df['hour_block']:\n", + " # \"f\"와 \"t\"를 제외한 나머지 부분을 추출하여 숫자로 변환\n", + " num = int(item[1:-3])\n", + " new_data.append(num)\n", + "\n", + " df['hour_block'] = new_data\n", + "\n", + " df['day_of_week'] = df['day_of_week'].apply(convert_day_to_number)\n", + "\n", + " df = df[['latitude', 'longitude', 'hour_block', 'day_of_week', 'status']]\n", + "\n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " latitude longitude hour_block day_of_week status\n", + "0 37.529110 126.953535 12 3 1\n", + "1 37.529110 126.953535 12 3 1\n", + "2 37.529642 126.968263 12 3 2\n", + "3 37.529666 126.968215 12 3 3\n", + "4 37.529665 126.968220 12 3 1\n", + "... ... ... ... ... ...\n", + "5429 37.341093 126.732886 16 0 0\n", + "5430 37.340450 126.733341 16 0 0\n", + "5431 37.340494 126.732966 16 0 0\n", + "5432 37.340480 126.732961 16 0 0\n", + "5433 37.340483 126.732966 16 0 0\n", + "\n", + "[5434 rows x 5 columns]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "folders = os.listdir(r\"C:\\Users\\sk002\\OneDrive\\바탕 화면\\새 폴더\\txt\")\n", + "os.chdir(r\"C:\\Users\\sk002\\OneDrive\\바탕 화면\\새 폴더\\txt\")\n", + "\n", + "data = pd.DataFrame()\n", + "for files in folders:\n", + " df = fileReader(files)\n", + " data = pd.concat([data, df])\n", + "\n", + "index = list(range(len(data)))\n", + "\n", + "data.index = index\n", + "\n", + "df = data\n", + "\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " latitude longitude hour_block day_of_week status y\n", + "0 37.529110 126.953535 12 3 1 36\n", + "1 37.529110 126.953535 12 3 1 36\n", + "2 37.529642 126.968263 12 3 2 27\n", + "3 37.529666 126.968215 12 3 3 27\n", + "4 37.529665 126.968220 12 3 1 27\n", + "... ... ... ... ... ... ...\n", + "5429 37.341093 126.732886 16 0 0 121\n", + "5430 37.340450 126.733341 16 0 0 56\n", + "5431 37.340494 126.732966 16 0 0 121\n", + "5432 37.340480 126.732961 16 0 0 121\n", + "5433 37.340483 126.732966 16 0 0 121\n", + "\n", + "[5434 rows x 6 columns]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 가장 가까운 의미장소에 매핑\n", + "y = []\n", + "for i in range(len(df)):\n", + " current_location = (df['latitude'].iloc[i], df['longitude'].iloc[i])\n", + " min_distance = float('inf')\n", + "\n", + " for j in range(len(meaningful_df)):\n", + " place_location = (meaningful_df['latitude'].iloc[j], meaningful_df['longitude'].iloc[j])\n", + " dist = distance.euclidean(current_location, place_location)\n", + " if dist < min_distance:\n", + " min_distance = dist\n", + " min_distance_index = j\n", + " y.append(min_distance_index)\n", + "\n", + "df['y'] = y\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

모델 학습" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.model_selection import train_test_split" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "df_train, df_test = train_test_split(\n", + " df,\n", + " test_size=0.2,\n", + " random_state=34\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "seq_len = 10 # 과거 10분의 데이터를 feature로 사용\n", + "steps = 10 # 향후 1분의 y를 예측\n", + "single_output = True # 향후 10분 시점만\n", + "metrics = [\"mse\"] # 모델 성능 지표" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "lstm_params = {\n", + " \"seq_len\": seq_len,\n", + " \"epochs\": 30, # epochs 반복 횟수\n", + " \"patience\": 30, # early stopping 조건\n", + " \"steps_per_epoch\": 5, # 1 epochs 시 dataset을 5개로 분할하여 학습\n", + " \"learning_rate\": 0.01,\n", + " \"lstm_units\": [64, 32], # Dense Layer: 2, Unit: (64, 32)\n", + " \"activation\": \"relu\",\n", + " \"dropout\": 0,\n", + " \"validation_split\": 0.3, # 검증 데이터셋 30%\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\keras\\src\\layers\\rnn\\rnn.py:204: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n", + " super().__init__(**kwargs)\n", + "c:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\contextlib.py:137: UserWarning: Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches. You may need to use the `.repeat()` function when building your dataset.\n", + " self.gen.throw(typ, value, traceback)\n" + ] + }, + { + "data": { + "image/png": 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YYDQaVVlOnsE/ERERERFRBHA4HCgqKkJdXV2oD4VUZLFYkJGRAZPJ1KP9MPgnIiIiIiIKc263GydPnoTBYEBmZiZMJpMqs8UUOpIkweFwoKysDCdPnsTQoUOh1/tfuc/gn4iIiIiIKMw5HA643W5kZWXBYrGE+nBIJTExMYiKisLp06fhcDgQHR3t977Y8I+IiIiIiChC9GRmmLRJrd8pzwwiIiIiIiKiCMfgn4iIiIiIiCjCMfgnIiIiIiKiiDJw4EC88MILoT4MTWHwT0RERERERCGh0+k6/Hrsscf82u+3336LO++8U92DDXPs9k9EREREREQhUVRUpHz/7rvv4pFHHsHhw4eV2+Li4pTvJUmCy+WC0dh5GJuSkqLugUYAzvwTERERERFFIEmSUOdwhuRLkqQuHWN6erryZbVaodPplJ8PHTqE+Ph4rFu3DhMnToTZbMYXX3yB48eP44YbbkBaWhri4uJw0UUX4dNPP/XZb8u0f51Oh3/+859YsGABLBYLhg4dijVr1qj5v1vzOPNPREREREQUgeqbXBj1yIaQPPeBP86CxaROuPnggw/i2WefxaBBg9CnTx+cPXsWc+fOxZNPPgmz2Yy33noL1113HQ4fPoz+/fu3u5/HH38czzzzDP7yl7/g5ZdfxpIlS3D69GkkJiaqcpxax5l/IiIiIiIi0qw//vGPuOaaazB48GAkJiYiJycHP/vZzzBmzBgMHToUTzzxBAYPHtzpTP6tt96KH//4xxgyZAieeuop1NTU4JtvvgnSqwg9zvz3MvsL7Th1vg7D0+MxJDWu8wcQEREREVFYioky4MAfZ4XsudUyadIkn59ramrw2GOP4eOPP0ZRURGcTifq6+tx5syZDvczbtw45fvY2FgkJCSgtLRUtePUOgb/vcw/t5/Eqt0F+P3ckQz+iYiIiIgimE6nUy31PpRiY2N9fr7//vuxadMmPPvssxgyZAhiYmKwePFiOByODvcTFRXl87NOp4Pb7Vb9eLUqpGn/27Ztw3XXXYfMzEzodDqsXr3a535JkvDII48gIyMDMTExmDFjBo4ePeqzTXl5OZYsWYKEhATYbDYsXboUNTU1Ptvs2bMHV155JaKjo5GVlYVnnnmm1bG8//77GDFiBKKjozF27Fh88sknqr9eLbDGyCd8ZX3HfxhERERERERatGPHDtx6661YsGABxo4di/T0dJw6dSrUh6V5IQ3+a2trkZOTg1dffbXN+5955hm89NJLeP311/H1118jNjYWs2bNQkNDg7LNkiVLsH//fmzatAlr167Ftm3bfNZzrKqqwsyZMzFgwADs2rULf/nLX/DYY4/h73//u7LNl19+iR//+MdYunQpdu/ejfnz52P+/PnYt29f4F58iCjBf11TiI+EiIiIiIio+4YOHYqVK1ciLy8P+fn5uOmmm3rVDL6/QpoDMmfOHMyZM6fN+yRJwgsvvICHH34YN9xwAwDgrbfeQlpaGlavXo0bb7wRBw8exPr16/Htt98qdSAvv/wy5s6di2effRaZmZl4++234XA48O9//xsmkwmjR49GXl4ennvuOWWQ4MUXX8Ts2bPxm9/8BgDwxBNPYNOmTXjllVfw+uuvB+H/RPDYLGLmn8E/ERERERGFn+eeew633XYbLrvsMiQnJ+O3v/0tqqqqQn1YmqfZApCTJ0+iuLgYM2bMUG6zWq245JJLsHPnTtx4443YuXMnbDabTwOIGTNmQK/X4+uvv8aCBQuwc+dOTJkyBSaTSdlm1qxZ+POf/4yKigr06dMHO3fuxH333efz/LNmzWpVhuCtsbERjY2Nys/hcrKJ4N/OmX8iIiIiItKQW2+9Fbfeeqvy89SpUyFJUqvtBg4ciM2bN/vctmzZMp+fW5YBtLWfyspKv481HGl2qb/i4mIAQFpams/taWlpyn3FxcVITU31ud9oNCIxMdFnm7b24f0c7W0j7m/L008/DavVqnxlZWV19yWGhEj7t3Pmn4iIiIiIqNfQbPCvdQ899BDsdrvydfbs2VAfUpdYY+QMCDb8IyIiIiIi6j00G/ynp6cDAEpKSnxuLykpUe5LT09vtS6j0+lEeXm5zzZt7cP7OdrbRtzfFrPZjISEBJ+vcKDU/DPtn4iIiIiIqNfQbPCfnZ2N9PR0fPbZZ8ptVVVV+PrrrzF58mQAwOTJk1FZWYldu3Yp22zevBlutxuXXHKJss22bdvQ1NQc7G7atAnDhw9Hnz59lG28n0dsI54nktg8af/VDU643K3rXoiIiIiIiCjyhDT4r6mpQV5eHvLy8gDITf7y8vJw5swZ6HQ63HPPPfjTn/6ENWvWYO/evbj55puRmZmJ+fPnAwBGjhyJ2bNn44477sA333yDHTt24K677sKNN96IzMxMAMBNN90Ek8mEpUuXYv/+/Xj33Xfx4osv+jT4+9WvfoX169fjr3/9Kw4dOoTHHnsM3333He66665g/y8JOFHzDwBVrPsnIiIiIiLqFULa7f+7777DtGnTlJ9FQH7LLbdg+fLleOCBB1BbW4s777wTlZWVuOKKK7B+/XpER0crj3n77bdx1113Yfr06dDr9Vi0aBFeeukl5X6r1YqNGzdi2bJlmDhxIpKTk/HII48oy/wBwGWXXYZ33nkHDz/8MH73u99h6NChWL16NcaMGROE/wvBZTToEWc2oqbRicr6JvSJNXX+ICIiIiIiIgprOqmtNQ+o26qqqmC1WmG32zVf/3/5/9uMgsp6rPrvyzC+f59QHw4REREREfVQQ0MDTp48iezsbJ/JUgp/Hf1uuxOHarbmnwJHafrHtH8iIiIiIqJegcF/LySCf9b8ExERERER9Q4M/nsh0fSPy/0REREREVG4mzp1Ku655x7l54EDB+KFF17o8DE6nQ6rV6/u8XOrtZ9gYPDfC1lj5CZ/DP6JiIiIiCiUrrvuOsyePbvN+7Zv3w6dToc9e/Z0a5/ffvutT4N3NTz22GPIzc1tdXtRURHmzJmj6nMFCoP/Xqi55t8R4iMhIiIiIqLebOnSpdi0aRPOnTvX6r433ngDkyZNwrhx47q1z5SUFFgsFrUOsUPp6ekwm81Bea6eYvDfC9k8af92zvwTEREREUUuSQIctaH56uKictdeey1SUlKwfPlyn9tramrw/vvvY/78+fjxj3+Mvn37wmKxYOzYsfjPf/7T4T5bpv0fPXoUU6ZMQXR0NEaNGoVNmza1esxvf/tbDBs2DBaLBYMGDcIf/vAHNDXJ8dLy5cvx+OOPIz8/HzqdDjqdTjnelmn/e/fuxdVXX42YmBgkJSXhzjvvRE1NjXL/rbfeivnz5+PZZ59FRkYGkpKSsGzZMuW5AskY8GcgzREz/3Y2/CMiIiIiilxNdcBTmaF57t8VAqbYTjczGo24+eabsXz5cvz+97+HTqcDALz//vtwuVz4yU9+gvfffx+//e1vkZCQgI8//hg//elPMXjwYFx88cWd7t/tdmPhwoVIS0vD119/Dbvd7tMfQIiPj8fy5cuRmZmJvXv34o477kB8fDweeOAB/OhHP8K+ffuwfv16fPrppwAAq9Xaah+1tbWYNWsWJk+ejG+//RalpaW4/fbbcdddd/kMbmzZsgUZGRnYsmULjh07hh/96EfIzc3FHXfc0enr6QnO/PdCSsM/Bv9ERERERBRit912G44fP47PP/9cue2NN97AokWLMGDAANx///3Izc3FoEGDcPfdd2P27Nl47733urTvTz/9FIcOHcJbb72FnJwcTJkyBU899VSr7R5++GFcdtllGDhwIK677jrcf//9ynPExMQgLi4ORqMR6enpSE9PR0xMTKt9vPPOO2hoaMBbb72FMWPG4Oqrr8Yrr7yC//mf/0FJSYmyXZ8+ffDKK69gxIgRuPbaazFv3jx89tln3f3f1m2c+e+Fmhv+seafiIiIiChiRVnkGfhQPXcXjRgxApdddhn+/e9/Y+rUqTh27Bi2b9+OP/7xj3C5XHjqqafw3nvvoaCgAA6HA42NjV2u6T948CCysrKQmdmcATF58uRW27377rt46aWXcPz4cdTU1MDpdCIhIaHLr0E8V05ODmJjmzMeLr/8crjdbhw+fBhpaWkAgNGjR8NgMCjbZGRkYO/evd16Ln9w5r8XYto/EREREVEvoNPJqfeh+PKk73fV0qVLsWLFClRXV+ONN97A4MGDcdVVV+Evf/kLXnzxRfz2t7/Fli1bkJeXh1mzZsHhUG8ic+fOnViyZAnmzp2LtWvXYvfu3fj973+v6nN4i4qK8vlZp9PB7XYH5Lm8MfjvhbyDf6mLjTiIiIiIiIgC5Yc//CH0ej3eeecdvPXWW7jtttug0+mwY8cO3HDDDfjJT36CnJwcDBo0CEeOHOnyfkeOHImzZ8+iqKhIue2rr77y2ebLL7/EgAED8Pvf/x6TJk3C0KFDcfr0aZ9tTCYTXC5Xp8+Vn5+P2tpa5bYdO3ZAr9dj+PDhXT7mQGHw3wuJmv8ml4Q6R8cnMBERERERUaDFxcXhRz/6ER566CEUFRXh1ltvBQAMHToUmzZtwpdffomDBw/iZz/7mU/9fGdmzJiBYcOG4ZZbbkF+fj62b9+O3//+9z7bDB06FGfOnMH//d//4fjx43jppZewatUqn20GDhyIkydPIi8vD+fPn0djY2Or51qyZAmio6Nxyy23YN++fdiyZQvuvvtu/PSnP1VS/kOJwX8vFBNlgMkg/+rZ9I+IiIiIiLRg6dKlqKiowKxZs5Qa/YcffhgTJkzArFmzMHXqVKSnp2P+/Pld3qder8eqVatQX1+Piy++GLfffjuefPJJn22uv/563HvvvbjrrruQm5uLL7/8En/4wx98tlm0aBFmz56NadOmISUlpc3lBi0WCzZs2IDy8nJcdNFFWLx4MaZPn45XXnml+/8zAkAnMe9bFVVVVbBarbDb7d1uDBEKFz35KcqqG/HxL6/A6MzWy1QQEREREVH4aGhowMmTJ5GdnY3o6OhQHw6pqKPfbXfiUM7891K2GDb9IyIiIiIi6i0Y/PdSou7fXsfgn4iIiIiIKNIx+O+lRMd/1vwTERERERFFPgb/vZQ1xgQAqOTMPxERERERUcRj8N9LNc/8O0J8JEREREREpBb2c488av1OGfz3UqLhXxXT/omIiIiIwl5UlHx9X1dXF+IjIbWJ36n4HfvLqMbBUPixipl/pv0TEREREYU9g8EAm82G0tJSAPKa8zqdLsRHRT0hSRLq6upQWloKm80Gg8HQo/0x+O+lRLd/Bv9ERERERJEhPT0dAJQBAIoMNptN+d32BIP/Xspm8TT8Y9o/EREREVFE0Ol0yMjIQGpqKpqaeJ0fCaKiono84y8w+O+lWPNPRERERBSZDAaDagEjRQ42/OulmtP+2e2fiIiIiIgo0jH476XEUn+1DhccTneIj4aIiIiIiIgCicF/LxUfHQXR/NPO1H8iIiIiIqKIxuC/lzLodUiIlmf/GfwTERERERFFNgb/vZio+7fXs+6fiIiIiIgokjH478VE3X9lHWf+iYiIiIiIIhmD/16sueM/g38iIiIiIqJIxuC/F7NZTACAStb8ExERERERRTQG/72YLYYN/4iIiIiIiHoDBv+9mNLwr44N/4iIiIiIiCIZg/9eTGn4x5l/IiIiIiKiiMbgvxdjwz8iIiIiIqLegcF/LyYa/rHmn4iIiIiIKLIx+O/FrGz4R0RERERE1Csw+O/FlJp/NvwjIiIiIiKKaAz+ezHvpf7cbinER0NERERERESBwuC/F0vwBP9uCahxOEN8NERERERERBQoDP57segoA6Kj5FPAzo7/REREREREEYvBfy9ni5E7/nO5PyIiIiIiosjF4L+XU5r+1bPpHxERERERUaRi8N/LieX+OPNPREREREQUuRj893Ji5t9ez+CfiIiIiIgoUjH47+WsMQz+iYiIiIiIIh2D/17OZhEN/1jzT0REREREFKkY/PdyrPknIiIiIiKKfAz+eznW/BMREREREUU+Bv+9nDLzz+CfiIiIiIgoYjH47+VsMXLNv51p/0RERERERBGLwX8vJ9L+K+vZ8I+IiIiIiChSMfjv5bjUHxERERERUeRj8N/LWT0z/w1NbjQ0uUJ8NERERERERBQIDP57uXizEQa9DgBn/4mIiIiIiCIVg/9eTqfTNXf8Z9M/IiIiIiKiiMTgn2BTgn82/SMiIiIiIopEDP5Jqftn2j8REREREVFkYvBPzWn/DP6JiIiIiIgiEoN/UtL+7az5JyIiIiIiikgM/gk2iwkAUFnPmn8iIiIiIqJIxOCflLR/1vwTERERERFFJgb/xKX+iIiIiIiIIhyDf4KN3f6JiIiIiIgiGoN/UoJ/zvwTERERERFFJgb/BGuM3PCPM/9ERERERESRicE/edX8s9s/ERERERFRJGLwT0raf1WDEy63FOKjISIiIiIiIrUx+Cdl5h8Aqpj6T0REREREFHEY/BOiDHrEmY0AgEoG/0RERERERBGHwT8BaJ79Z9M/IiIiIiKiyKPp4N/lcuEPf/gDsrOzERMTg8GDB+OJJ56AJDXXpUuShEceeQQZGRmIiYnBjBkzcPToUZ/9lJeXY8mSJUhISIDNZsPSpUtRU1Pjs82ePXtw5ZVXIjo6GllZWXjmmWeC8hq1gk3/iIiIiIiIIpemg/8///nPeO211/DKK6/g4MGD+POf/4xnnnkGL7/8srLNM888g5deegmvv/46vv76a8TGxmLWrFloaGhQtlmyZAn279+PTZs2Ye3atdi2bRvuvPNO5f6qqirMnDkTAwYMwK5du/CXv/wFjz32GP7+978H9fWGkmj6x5l/IiIiIiKiyGMM9QF05Msvv8QNN9yAefPmAQAGDhyI//znP/jmm28AyLP+L7zwAh5++GHccMMNAIC33noLaWlpWL16NW688UYcPHgQ69evx7fffotJkyYBAF5++WXMnTsXzz77LDIzM/H222/D4XDg3//+N0wmE0aPHo28vDw899xzPoMEkUwE/5V1DP6JiIiIiIgijaZn/i+77DJ89tlnOHLkCAAgPz8fX3zxBebMmQMAOHnyJIqLizFjxgzlMVarFZdccgl27twJANi5cydsNpsS+APAjBkzoNfr8fXXXyvbTJkyBSaTSdlm1qxZOHz4MCoqKto8tsbGRlRVVfl8hTNrjPzaOfNPREREREQUeTQ98//ggw+iqqoKI0aMgMFggMvlwpNPPoklS5YAAIqLiwEAaWlpPo9LS0tT7isuLkZqaqrP/UajEYmJiT7bZGdnt9qHuK9Pnz6tju3pp5/G448/rsKr1Ibmmn8G/0RERERERJFG0zP/7733Ht5++2288847+P777/Hmm2/i2WefxZtvvhnqQ8NDDz0Eu92ufJ09ezbUh9QjStp/PRv+ERERERERRRpNz/z/5je/wYMPPogbb7wRADB27FicPn0aTz/9NG655Rakp6cDAEpKSpCRkaE8rqSkBLm5uQCA9PR0lJaW+uzX6XSivLxceXx6ejpKSkp8thE/i21aMpvNMJvNPX+RGmETS/1x5p+IiIiIiCjiaHrmv66uDnq97yEaDAa43W4AQHZ2NtLT0/HZZ58p91dVVeHrr7/G5MmTAQCTJ09GZWUldu3apWyzefNmuN1uXHLJJco227ZtQ1NTc+C7adMmDB8+vM2U/0jEbv9ERERERESRS9PB/3XXXYcnn3wSH3/8MU6dOoVVq1bhueeew4IFCwAAOp0O99xzD/70pz9hzZo12Lt3L26++WZkZmZi/vz5AICRI0di9uzZuOOOO/DNN99gx44duOuuu3DjjTciMzMTAHDTTTfBZDJh6dKl2L9/P9599128+OKLuO+++0L10oNONPyrZPBPREREREQUcTSd9v/yyy/jD3/4A/77v/8bpaWlyMzMxM9+9jM88sgjyjYPPPAAamtrceedd6KyshJXXHEF1q9fj+joaGWbt99+G3fddRemT58OvV6PRYsW4aWXXlLut1qt2LhxI5YtW4aJEyciOTkZjzzySK9Z5g9gwz8iIiIiIqJIppMkSQr1QUSCqqoqWK1W2O12JCQkhPpwuq2wsh6X/b/NiDLocORPc6DT6UJ9SERERERERNSB7sShmk77p+ARNf9NLgl1DleIj4aIiIiIiIjUxOCfAAAxUQaYDPLpwKZ/REREREREkYXBPwGQmycmsO6fiIiIiIgoIjH4J4VI/a+sd4T4SIiIiIiIiEhNDP5JYfPM/Ns5809ERERERBRRGPyTQsz8s+afiIiIiIgosjD4J4VS88/gn4iIiIiIKKIw+CeFLcYEgA3/iIiIiIiIIg2Df1I0p/2z4R8REREREVEkYfBPCtb8ExERERERRSYG/6Swipp/pv0TERERERFFFAb/pGDwT0REREREFJkY/JPCZpEb/jHtn4iIiIiIKLIw+CeFTZn5Z8M/IiIiIiKiSMLgnxSi4V+tw4UmlzvER0NERERERERqYfBPivjoKOV7pv4TERERERFFDgb/pDDodUiINgJg0z8iIiIiIqJIwuCffDQ3/WPdPxERERERUaRg8E8+RN0/0/6JiIiIiIgiB4N/8mFVOv4z+CciIiIiIooUDP7JB4N/IiIiIiKiyMPgn3yItP9Kpv0TERERERFFDAb/5MMW42n4V8eGf0RERERERJGCwT/5YMM/IiIiIiKiyMPgn3wkxDDtn4iIiIiIKNIw+CcfNjb8IyIiIiIiijgM/smHzeKp+efMPxERERERUcRg8E8+WPNPREREREQUeRj8kw+rkvbvgNsthfhoiIiIiIiISA0M/smHCP7dElDjcIb4aIiIiIiIiEgNDP7JR3SUAdFR8mlhZ9M/IiIiIiKiiMDgn1qxxbDpHxERERERUSRh8E+tWLncHxERERERUURh8E+tWD0d/yvrHSE+EiIiIiIiIlIDg39qxcaZfyIiIiIioojC4J9asXlm/lnzT0REREREFBkY/FMrNgsb/hEREREREUUSBv/USnPDP9b8ExERERERRQIG/9QKu/0TERERERFFFgb/1IpN6fbP4J+IiIiIiCgSMPinVmwxcs1/FYN/IiIiIiKiiMDgn1ph2j8REREREVFkYfBPrTSn/bPhHxERERERUSRg8E+tWD3Bf0OTGw1NrhAfDREREREREfUUg39qJd5shEGvA8C6fyIiIiIiokjA4J9a0el0SIg2AmDHfyIiIiIiokjA4J/aZLPIHf/Z9I+IiIiIiCj8MfinNjV3/GfTPyIiIiIionDH4J/a1NzxnzP/RERERERE4Y7BP7XJ5pn5Z8M/IiIiIiKi8Mfgn9rUnPbP4J+IiIiIiCjcMfinNllFw7961vwTERERERGFOwb/1CYbZ/6JiIiIiIgiBoN/apNo+GdnzT8REREREVHYY/BPbRI1/wz+iYiIiIiIwh+Df2qTstQf0/6JiIiIiIjCHoN/apM1xtPwr44N/4iIiIiIiMIdg39qk5j5r250wuWWQnw0RERERERE1BMM/qlNouZfkoDqBqb+ExERERERhTMG/9SmKIMesSYDANb9ExERERERhTsG/9Qum8VT98+O/0RERERERGGNwT+1S6T+s+kfERERERFReGPwT+0STf/snPknIiIiIiIKawz+qV1i5p/BPxERERERUXhj8E/tEjP/bPhHREREREQU3hj8U7usMZ6Gfwz+iYiIiIiIwhqDf2oXa/6JiIiIiIgiA4N/aldzzT+7/RMREREREYUzBv/ULlsMa/6JiIiIiIgiAYN/apdVNPxj2j8REREREVFYY/BP7bJ5Gv6x5p+IiIiIiCi8MfindikN/+qaIElSiI+GiIiIiIiI/KX54L+goAA/+clPkJSUhJiYGIwdOxbfffedcr8kSXjkkUeQkZGBmJgYzJgxA0ePHvXZR3l5OZYsWYKEhATYbDYsXboUNTU1Ptvs2bMHV155JaKjo5GVlYVnnnkmKK9Py0TDP4fLjfomV4iPhoiIiIiIiPyl6eC/oqICl19+OaKiorBu3TocOHAAf/3rX9GnTx9lm2eeeQYvvfQSXn/9dXz99deIjY3FrFmz0NDQoGyzZMkS7N+/H5s2bcLatWuxbds23Hnnncr9VVVVmDlzJgYMGIBdu3bhL3/5Cx577DH8/e9/D+rr1RqLyYAogw4Am/4RERERERGFM52k4XzuBx98EDt27MD27dvbvF+SJGRmZuLXv/417r//fgCA3W5HWloali9fjhtvvBEHDx7EqFGj8O2332LSpEkAgPXr12Pu3Lk4d+4cMjMz8dprr+H3v/89iouLYTKZlOdevXo1Dh061KVjraqqgtVqhd1uR0JCggqvXhsm/elTnK9pxCe/vBKjMiPndREREREREYW77sShmp75X7NmDSZNmoQf/OAHSE1Nxfjx4/GPf/xDuf/kyZMoLi7GjBkzlNusVisuueQS7Ny5EwCwc+dO2Gw2JfAHgBkzZkCv1+Prr79WtpkyZYoS+APArFmzcPjwYVRUVLR5bI2NjaiqqvL5ikRK3T+b/hEREREREYUtTQf/J06cwGuvvYahQ4diw4YN+MUvfoFf/vKXePPNNwEAxcXFAIC0tDSfx6WlpSn3FRcXIzU11ed+o9GIxMREn23a2of3c7T09NNPw2q1Kl9ZWVk9fLXaJOr+7fWOEB8JERERERER+UvTwb/b7caECRPw1FNPYfz48bjzzjtxxx134PXXXw/1oeGhhx6C3W5Xvs6ePRvqQwoImyf4Z80/ERERERFR+NJ08J+RkYFRo0b53DZy5EicOXMGAJCeng4AKCkp8dmmpKREuS89PR2lpaU+9zudTpSXl/ts09Y+vJ+jJbPZjISEBJ+vSGT1pP1XMu2fiIiIiIgobGk6+L/88stx+PBhn9uOHDmCAQMGAACys7ORnp6Ozz77TLm/qqoKX3/9NSZPngwAmDx5MiorK7Fr1y5lm82bN8PtduOSSy5Rttm2bRuampoD3E2bNmH48OE+Kwv0RrYYuQ8Ca/6JiIiIiIjCl6aD/3vvvRdfffUVnnrqKRw7dgzvvPMO/v73v2PZsmUAAJ1Oh3vuuQd/+tOfsGbNGuzduxc333wzMjMzMX/+fABypsDs2bNxxx134JtvvsGOHTtw11134cYbb0RmZiYA4KabboLJZMLSpUuxf/9+vPvuu3jxxRdx3333heqla4aVaf9ERERERERhzxjqA+jIRRddhFWrVuGhhx7CH//4R2RnZ+OFF17AkiVLlG0eeOAB1NbW4s4770RlZSWuuOIKrF+/HtHR0co2b7/9Nu666y5Mnz4der0eixYtwksvvaTcb7VasXHjRixbtgwTJ05EcnIyHnnkEdx5551Bfb1a1Nztnw3/iIiIiIiIwpVOkiQp1AcRCbqzvmI4+TCvAL/6vzxcNjgJ79xxaagPh4iIiIiIiDy6E4dqOu2fQq95qT+m/RMREREREYUrBv/UIZtFbvjHmn8iIiIiIqLwxeCfOsSZfyIiIiIiovDH4J86ZPME/zWNTjS53CE+GiIiIiIiIvIHg3/qUIIn+Ac4+09ERERERBSuGPxThwx6HRKi5RUhGfwTERERERGFJwb/1CmrRZ79Z9M/IiIiIiKi8MTgnzpli5E7/tvrHSE+EiIiIiIiIvIHg3/qlI0z/0RERERERGGNwT91isv9ERERERERhTcG/9QpEfxz5p+IiIiIiCg8MfinTom0f878ExERERERhScG/9Qp0fCvso4N/4iIiIiIiMIRg3/qlJUz/0RERERERGGNwT91yiZq/hn8ExERERERhSUG/9Qppds/G/4RERERERGFJQb/1CmbxVPzz5l/IiIiIiKisMTgnzrl3e1fkqQQHw0RERERERF1lzHUB0BBtuaXQP5/uvWQVACHzW75hz/5OV5kjAbmPQeM+4F/jyciIiIiIiK/MfjvbdwuwNW9Jft0AMw6zw8uP5/X5QDy/pfBPxERERERUQgw+O9tZj4BTPtdtx923StfoKy6Ecv/62KMSI/v3oPLDgH/uxAo3A1IEqDTdf4YIiIiIiIiUg2D/97GkujXwxyWDBRXV+O8PhmwJnfvwbEpgMEENNiBipNA4iC/joGIiIiIiIj843fDP6fTiU8//RR/+9vfUF1dDQAoLCxETU2NagdH2mH1avrXbUYTkDZG/r5wt4pHRURERERERF3hV/B/+vRpjB07FjfccAOWLVuGsrIyAMCf//xn3H///aoeIGmDNUYO/ivru9cvQJE5Xv6XwT8REREREVHQ+RX8/+pXv8KkSZNQUVGBmJgY5fYFCxbgs88+U+3gSDtsIviv82PmH/AK/vPUOSAiIiIiIiLqMr9q/rdv344vv/wSJpPJ5/aBAweioKBAlQMjbbH1JO0f8A3+3W5A73fFCREREREREXWTXxGY2+2Gy9V6zbdz584hPr6bneApLNgs8kCP3d+Z/5QRgDEacFQDF46peGRERERERETUGb+C/5kzZ+KFF15QftbpdKipqcGjjz6KuXPnqnVspCE9rvk3GIH0cfL3rPsnIiIiIiIKKr+C/7/+9a/YsWMHRo0ahYaGBtx0001Kyv+f//xntY+RNMDa05p/AOg7Qf6XwT8REREREVFQ+VXz369fP+Tn5+Pdd99Ffn4+ampqsHTpUixZssSnASBFjh7X/APs+E9ERERERBQifgX/AGA0GrFkyRIsWbJEzeMhjbLFyDX/PZr5F8F/8R7A5ZRLAYiIiIiIiCjg/Er7f/PNN/Hxxx8rPz/wwAOw2Wy47LLLcPr0adUOjrRDlZn/pCGAKQ5oqgPOH1HpyIiIiIiIiKgzfgX/Tz31lJLev3PnTrzyyit45plnkJycjHvvvVfVAyRtSPDU/Nc3udDQ1Hqlhy7RG4CMHPl7pv4TEREREREFjV/B/9mzZzFkyBAAwOrVq7F48WLceeedePrpp7F9+3ZVD5C0Id5shF4nf1/Fun8iIiIiIqKw4lfwHxcXhwsXLgAANm7ciGuuuQYAEB0djfr6evWOjjRDr9d5LffH4J+IiIiIiCic+NVx7ZprrsHtt9+O8ePH48iRI5g7dy4AYP/+/RgwYICqB0jaYbOYUFHXpE7H/+K9gKsJMESpc3BERERERETULr9m/l999VVMnjwZZWVlWLFiBZKSkgAAu3btwk033aTqAZJ2iLr/HnX875MNmK2AqxEoPajSkREREREREVFH/Jr5t9lsePbZZ7Fnzx6UlpZizZo1AICJEyeqenCkLTYl+Hf4vxO9HsjMAU5uAwq/BzLGqXR0RERERERE1B6/gv/169fj5ptvxoULFyBJks99Op0OLpef3eBJ01RZ7g8AMid4gv/dwMRbe35gRERERERE1CG/0v7vvvtu/OAHP0BhYSHcbrfPFwP/yCVm/nse/LPpHxERERERUTD5FfyXlJTgvvvuQ1pamtrHQxpmtZgA9LDmH2gO/ksOAE0NPTwqIiIiIiIi6oxfwf/ixYuxdetWlQ+FtE6Vpf4AwNYfiEkE3E1A6X4VjoyIiIiIiIg64lfN/yuvvIIf/OAH2L59O8aOHYuoKN/l2n75y1+qcnCkLao0/AMAnU6e/T/+mZz635eNIomIiIiIiALJr+D/P//5DzZu3Ijo6Ghs3boVOp1OuU+n0zH4j1CqNfwDfIN/IiIiIiIiCii/gv/f//73ePzxx/Hggw9Cr/ercoDCkOrBPwAU5vV8X0RERERERNQhvyJ3h8OBH/3oRwz8exml5r+nDf+A5uC/9CDgqOv5/oiIiIiIiKhdfkXvt9xyC9599121j4U0zhojd/uvamiCyy31bGcJmUBsKiC5gJJ9KhwdERERERERtcevtH+Xy4VnnnkGGzZswLhx41o1/HvuuedUOTjSFjHzL0lAdUMTbJ6l//wimv4d3SDX/WddrNJREhERERERUUt+Bf979+7F+PFy2va+fb6ztt7N/yiymIx6xJoMqHW4YK/vYfAP+Ab/REREREREFDB+Bf9btmxR+zgoTNgsJtQ66lFZ14QBST3cWd8J8r8F3/f4uIiIiIiIiKh97NhH3ZIgmv6p0fE/I1f+9/wRoLG65/sjIiIiIiKiNjH4p26xKR3/HT3fWXwakNAXgAQU7en5/oiIiIiIiKhNDP6pW2wWOfivUmPmH2he8o91/0RERERERAHD4J+6RQT/lXVqBf+58r8M/omIiIiIiAKGwT91i6o1/wBn/omIiIiIiIKAwT91iy1GXt5PtZn/DE/wX34cqK9UZ59ERERERETkg8E/dYtI+7fXq9DwDwBikwBbf/n7onx19klEREREREQ+GPxTt4hu/3a10v4Bpv4TEREREREFGIN/6hZrjMoN/wAG/0RERERERAHG4J+6xWpRueEfAGROkP9l8E9ERERERBQQDP6pW2wWueGfva4JkiSps9OMHPnfytNA7QV19klEREREREQKBv/ULaLm3+Fyo6HJrc5OY2xA4mD5+yLO/hMREREREamNwT91i8VkQJRBBwCoVKvjP8C6fyIiIiIiogBi8E/dotPpAtz0L0+9fRIREREREREABv/kB3b8JyIiIiIiCi8M/qnblKZ/anb8zxgHQAdUFQDVJertl4iIiIiIiBj8U/eJpn92NWv+zfFA8jD5+6I89fZLREREREREDP6p+wKS9g8w9Z+IiIiIiChAGPxTt1ktnuBfzbR/gME/ERERERFRgDD4p26zxcg1/6rP/PedIP9buBuQJHX3TURERERE1Isx+Kdus3lm/qvUnvlPGwPoDEBNCVBdpO6+iYiIiIiIejEG/9RtSs2/mg3/AMBkAVJHyt8XfK/uvomIiIiIiHoxBv/UbUrNv9pp/wCQmSv/y7p/IiIiIiIi1YRV8P///t//g06nwz333KPc1tDQgGXLliEpKQlxcXFYtGgRSkp814k/c+YM5s2bB4vFgtTUVPzmN7+B0+n02Wbr1q2YMGECzGYzhgwZguXLlwfhFYUnW6C6/QNs+kdERERERBQAYRP8f/vtt/jb3/6GcePG+dx+77334qOPPsL777+Pzz//HIWFhVi4cKFyv8vlwrx58+BwOPDll1/izTffxPLly/HII48o25w8eRLz5s3DtGnTkJeXh3vuuQe33347NmzYELTXF05sFrnhn+o1/4Bv8M+mf0RERERERKoIi+C/pqYGS5YswT/+8Q/06dNHud1ut+Nf//oXnnvuOVx99dWYOHEi3njjDXz55Zf46quvAAAbN27EgQMH8L//+7/Izc3FnDlz8MQTT+DVV1+FwyHXrL/++uvIzs7GX//6V4wcORJ33XUXFi9ejOeff77dY2psbERVVZXPV28hZv6rG51ocrnV3XnaGEAfBdSXA5Vn1N03ERERERFRLxUWwf+yZcswb948zJgxw+f2Xbt2oampyef2ESNGoH///ti5cycAYOfOnRg7dizS0tKUbWbNmoWqqirs379f2ablvmfNmqXsoy1PP/00rFar8pWVldXj1xkuEjzBPxCA2X+jGUgbJX/P1H8iIiIiIiJVaD74/7//+z98//33ePrpp1vdV1xcDJPJBJvN5nN7WloaiouLlW28A39xv7ivo22qqqpQX1/f5nE99NBDsNvtytfZs2f9en3hyKDXIT7aCACoDHTqPxEREREREfWYMdQH0JGzZ8/iV7/6FTZt2oTo6OhQH44Ps9kMs9kc6sMIGZslCtUNTtgDFfzvWs7gn4iIiIiISCWanvnftWsXSktLMWHCBBiNRhiNRnz++ed46aWXYDQakZaWBofDgcrKSp/HlZSUID09HQCQnp7eqvu/+LmzbRISEhATExOgVxfebDFy0z97QDv+57HpHxERERERkQo0HfxPnz4de/fuRV5envI1adIkLFmyRPk+KioKn332mfKYw4cP48yZM5g8eTIAYPLkydi7dy9KS0uVbTZt2oSEhASMGjVK2cZ7H2IbsQ9qzSqW+6t3qL/z1FGAwQw02oHyE+rvn4iIiIiIqJfRdNp/fHw8xowZ43NbbGwskpKSlNuXLl2K++67D4mJiUhISMDdd9+NyZMn49JLLwUAzJw5E6NGjcJPf/pTPPPMMyguLsbDDz+MZcuWKWn7P//5z/HKK6/ggQcewG233YbNmzfjvffew8cffxzcFxxGrBZP8B+ImX9DFJA+Fij4Tk79Txqs/nMQERERERH1Ipqe+e+K559/Htdeey0WLVqEKVOmID09HStXrlTuNxgMWLt2LQwGAyZPnoyf/OQnuPnmm/HHP/5R2SY7Oxsff/wxNm3ahJycHPz1r3/FP//5T8yaNSsULyksiOX+AhL8A2z6R0REREREpCJNz/y3ZevWrT4/R0dH49VXX8Wrr77a7mMGDBiATz75pMP9Tp06Fbt3M9DsKptn5j8gDf8ABv9EREREREQqCvuZfwoNUfMf8OC/KB9wuwLzHERERERERL0Eg3/yi+j2X1kXgIZ/AJA8DIiyAI4a4MKxwDwHERERERFRL8Hgn/yiNPwL1My/wQikj5O/Z+o/ERERERFRjzD4J7/YAp32D7Dun4iIiIiISCUM/skvNouc9m8PVLd/gME/ERERERGRShj8k19Ew7/K+iZIkhSYJ1Ga/u0BXM7APAcREREREVEvwOCf/CKW+nO5JdQ0BigwTxoCmOIBZz1w/nBgnoOIiIiIiKgXYPBPfomOMsBslE+fykCl/uv1QGau/D1T/4mIiIiIiPzG4J/8Jmb/A9v0L1f+l8E/ERERERGR3xj8k9+s7PhPREREREQUFhj8k99sMXLH/4Cl/QPNwX/xXsDpCNzzEBERERERRTAG/+Q3q0V0/A9gUN4nG4i2Ai4HUHogcM9DREREREQUwRj8k99swUj71+mY+k9ERERERNRDDP7Jb0rNfyDT/gEG/0RERERERD3E4J/8Jrr9B7TmH2DwT0RERERE1EMM/slvVoun4V8ga/6B5uC/9ADQ1BDY5yIiIiIiIopADP7Jb0Gp+QcAaxZgSQLcTqBkf2Cfi4iIiIiIKAIx+Ce/BS3tX6cDMifI3xd+36WHuN0S3v76NI6UVAfwwIiIiIiIiMIDg3/ymzVYM/+AV91/Xpc233igBL9ftQ8PfLAncMdEREREREQUJhj8k99sMZ6a/0DP/APdbvq363Q5AGBfgR0NTa5AHRUREREREVFYYPBPfrN60v7rm1xodAY4wBbBf9lBwFHX6eb55+wAAKdbwsGiqkAeGRERERERkeYx+Ce/xZuN0Ovk7wOe+p+QAcSlA5IbKO44ld/llrCvwK78nH+2MrDHRkREREREpHEM/slver0OCaLuX0Op/8dKa1DnaM5E2HPO3sHWREREREREkY/BP/WIWO6vMqhN/zoO/vPPVQIATEa9z89ERERERES9FYN/6hGrRXtN//Z4gv1rx2UAAE6cr0V1QxCOj4iIiIiISKMY/FOP2IK63F+u/O/5o0BD+038RJr/tOGp6GuLgSQBewuY+k9ERERERL0Xg3/qEatI+69zBP7J4lKBhH4ApHab/jU6XUp3/5x+NuRkWQEA+WcZ/BMRERERUe/F4J96xGYJ4sw/APTtOPX/YFE1mlwS+liikJUYg5x+NgDNpQBERERERES9EYN/6hGl4V8wav6BTuv+RZA/rp8NOp0O45TgnzP/RERERETUezH4px4RDf+CNvPfSfAv0vtz+snp/mP7WaHTAQWV9SirbgzKIRIREREREWkNg3/qkaAu9QcAGbnyv+UngPqKVnfne838A0Cc2YjBKXEAmPpPRERERES9F4N/6hHR8M8ejIZ/AGBJBPoMlL8vyve5q6bRieNlNQCAcZ5GfwAwzpMFkM/UfyIiIiIi6qUY/FOPiIZ/QZv5B5pT/wu+97l57zk7JAnItEYjNT5auT03ywaAM/9ERERERNR7MfinHlGC/2A1/AParfvf0yLlX/Bu+idJUoAPjoiIiIiISHsY/FOPWGPkhn9VDU1wu4MUWCvBf57PzaKjv3fKPwCMzIhHlEGH8loHzlXUB+MIiYiIiIiINIXBP/WIqPmXJKC6wRmcJ83Ikf+1nwFqzys3552tBADktJj5NxsNGJGeAKC5ISAREREREVFvwuCfesRk1MNiMgAAKuuD1PQv2gokDZG/98z+X6hpREGlPKs/tp+11UNyPNkAe9j0j4iIiIiIeiEG/9RjynJ/Iaz7F0H9oJRYJERHtdpc1P3ne7IDiIiIiIiIehMG/9RjVotc928Pasf/CfK/nuBfpPO3TPkXxO37CuxwBas3ARERERERkUYw+KceU2b+Q7Hcnwj+PTP649pI+QeAIalxsJgMqHW4cLysJhhHSEREREREpBkM/qnHRNM/e12Qav4BIH0soNMD1YWQqoqUtP+cLFubmxv0OozJlAcGmPpPRERERES9DYN/6jGbJQQ1/+Y4IHk4AODC0W9wodYBo16HURkJ7T6ETf+IiIiIiKi3YvBPPWb1BP9BrfkHlNT/imNfAwCGp8cjOsrQ7uai6d8eLvdHRERERES9DIN/6jFbjNzwL6g1/4AS/OuK5Lr/ce00+xNE07+DRdVodLoCeWRERERERESawuCfeswaiqX+ACX4T646AEBCTjvN/oSsxBj0sUTB4XLjUFF1EA6QiIiIiIhIGxj8U4/ZlLT/IDb8A4D0MZB0BtjclchAebvN/gSdToexTP0nIiIiIqJeiME/9ZgtVDP/UTFwJMpN/yZGncTQ1LhOH5LryQ7IZ9M/IiIiIiLqRRj8U4+FrOEfgMLYkQCAaQkFMBo6P53Z9I+IiIiIiHojBv/UY0rNf30TJEkK6nPvlQYBAHINp7q0/TjPcn9HS2tQ0+gM1GERERERERFpCoN/6jGbRe7273C60dDkDupzb63uBwDIqj8EdGHgITU+GhnWaEgSsK+Aqf9ERERERNQ7MPinHos1GWDU6wAAlUFs+udwurGhLBGNkhGmJjtQebpLj8th6j8REREREfUyDP6px3Q6nVfH/+DV/R8urkaty4CjugHyDYW7u/Q4kfrPpn9ERERERNRbMPgnVVhD0PE/3zNzX+Jp+tfV4J8z/0RERERE1Nsw+CdVhCT4P1sJAGhKy5Fv6GLwP6avPPN/trweF2oaA3FoREREREREmsLgn1Qhmv7Zg1jzv8eTtp8w+GL5hsJ8wN15w0FrTBQGJcfK+2DTPyIiIiIi6gUY/JMqbDHBrfmvczhxtLQaADB41ETAGA002oHyE116fE6WDQCw5yyDfyIiIiIiinwM/kkVVktw0/73FVTBLQFpCWak9YkH0sfKd3S16V8/OfWfdf9ERERERNQbMPgnVSg1/0Ga+RdB+zhP8z5kjpf/7XLwLz8u/5wdkiSpe3BEREREREQaw+CfVKGk/Qdp5j/P0+wv15O+393gf3RmAox6Hc7XNKLQ3qD+ARIREREREWkIg39ShWj4Vxmkhn+i2Z9I30fmBPnfonzA7er08dFRBgxPj5f35RlIICIiIiIiilQM/kkVouY/GA3/KmodOFNeBwAY19cm35g8FIiKBZpqgfNHu7Qf79R/IiIiIiKiSMbgn1Sh1PwHIe1fLM83MMmiDDpAbwAycuTvu5j6n8Omf0RERERE1Esw+CdVBLPmP9+Tpq80+xP8bPq395wdbjeb/hERERERUeRi8E+qEDX/1Y1OOF3ugD6XmKnPEc3+hG4G/8PS4hAdpUd1oxMnzteqd4BEREREREQaw+CfVJEQbVS+r2pwBux5JElSavRF2r5CBP/FewBX58dgNOgxJpOp/0REREREFPkY/JMqjAY94j0DAJV1gev4X1zVgLLqRhj0OozObBH8Jw4CzAmAswEoO9Sl/YnU/z1s+kdERERERBGMwT+pRmn6F8CO//ln5SB9aGocYkwG3zv1eq+mf993aX85WfIAQj5n/omIiIiIKIIx+CfV2CyBb/ongvTclvX+gp9N//YXVsHhDGyvAiIiIiIiolBh8E+qscXITf/sAZz5F7X5rTr9C90M/gcmWZAQbYTD6caRkuqeHyAREREREZEGMfgn1Vg9M/+Bqvl3uyWlNn9cy2Z/Qt8J8r/F+wBnY6f71Ol0yqoBTP0nIiIiIqJIxeCfVBPomv9TF2pR3eCE2ajH8PT4tjeyDQBi+gDuJqD0QJf2KwYS9pxl0z8iIiIiIopMDP5JNTYR/Aeo5l/MzI/KTECUoZ1TV6fzu+6fM/9ERERERBSpNB38P/3007jooosQHx+P1NRUzJ8/H4cPH/bZpqGhAcuWLUNSUhLi4uKwaNEilJSU+Gxz5swZzJs3DxaLBampqfjNb34Dp9N3HfitW7diwoQJMJvNGDJkCJYvXx7olxdxlIZ/AZr5F53+c9qr9xe6GfyL/R0pqUadw9nxxkRERERERGFI08H/559/jmXLluGrr77Cpk2b0NTUhJkzZ6K2tlbZ5t5778VHH32E999/H59//jkKCwuxcOFC5X6Xy4V58+bB4XDgyy+/xJtvvonly5fjkUceUbY5efIk5s2bh2nTpiEvLw/33HMPbr/9dmzYsCGorzfcBbrhn2j2J5bna1c3g/90azTSEsxwS3LXfyIiIiIiokhjDPUBdGT9+vU+Py9fvhypqanYtWsXpkyZArvdjn/961945513cPXVVwMA3njjDYwcORJfffUVLr30UmzcuBEHDhzAp59+irS0NOTm5uKJJ57Ab3/7Wzz22GMwmUx4/fXXkZ2djb/+9a8AgJEjR+KLL77A888/j1mzZgX9dYerhJjANfxrcrmVwLzdTv+CCP5LDwJN9UBUTKf7H9fPhk0HSpB/thIXDUzs4dESERERERFpi6aD/5bsdjntOzFRDs527dqFpqYmzJgxQ9lmxIgR6N+/P3bu3IlLL70UO3fuxNixY5GWlqZsM2vWLPziF7/A/v37MX78eOzcudNnH2Kbe+65p91jaWxsRGNjczf5qirOGIu0/0A0/DtSUo1GpxvxZiOyk2I73jihLxCbAtSWASX7gX6TOt1/Tj8rNh0oUVYT0ARJAprqgPpKoKFS/re+ou3vnQ3BP76oGKBPNpA4CEgaLP9rSZL7LhARERERkaaETfDvdrtxzz334PLLL8eYMWMAAMXFxTCZTLDZbD7bpqWlobi4WNnGO/AX94v7OtqmqqoK9fX1iIlpPXP89NNP4/HHH1fltUUKpeY/AA3/RL3/uCwr9PpOgkvR9O/oRjn1vwvBf0Cb/jkb5UC9K0F8Q6Xvtq7ALJsYMGYrkJjdPBiQKP4dBMQmc2CAiIiIiChEwib4X7ZsGfbt24cvvvgi1IcCAHjooYdw3333KT9XVVUhKysrhEcUet41/5IkQadioCfq/TtN+RdE8P/lS8CRzns3THa78UbUeaAKaHrrZUTp/W2HIQGOOt8g3lnv57489EYg2gbE2ORlDL2+d5mt+Ns3F1DjisIvpw9FdJShZ8/VHQ1VQMVJoPwEcOEEUHUOaLQDRXnyV0vmBHlgQAwIeA8QcGCAiEhdbpc8gOxyAK4m3++djW3c3s627hA0wpUkQHID8Pzr84XWt7XaTmreR1e3gRT81yno9AB08r86eH2v87pP12I7ndft7d3X1j4894XkdXofs9cxdXibrovbtXGb8pxBJHVyHrW6X+rk/q5uE2xt/P0of1eef33+5tra1uvvudNtpdC9bpMFuPrh0Dx3AIRF8H/XXXdh7dq12LZtG/r166fcnp6eDofDgcrKSp/Z/5KSEqSnpyvbfPPNNz77E6sBeG/TcoWAkpISJCQktDnrDwBmsxlms7nHry2SiJl/p1tCrcOFOLN6p1f+OdHpv5Nmf8KAy+V/K8/IX52IAjBNxM0nun98ndMB0dY2A/hOvzfFtfvhtfVgCZ6xfwcAGGTKweKJ/drcLiia6oGKU57BgOPyv+XHgfKTgP0c0FgFFOXLXy0pAwODWg8OxKYAOh2OlVbjk73FuHPKoOAOcpD/xAe42yUHEJJL/l7cJrlC9GHe8uKkjX87us+fx4dUiwt+5eK4o/t0ftwHhCawkDyBbhPgbvIEr+1873b6BrUi0HU3AS6n51+H1/cdPD4Uv9f2AnpnG7dJruAfHxFRpIlJZPAfLJIk4e6778aqVauwdetWZGdn+9w/ceJEREVF4bPPPsOiRYsAAIcPH8aZM2cwefJkAMDkyZPx5JNPorS0FKmpqQCATZs2ISEhAaNGjVK2+eSTT3z2vWnTJmUf1DXRUQaYjHo4nG5U1jlUC/7rHS4cKakG0I2Z/+wpwE9WANUlnW/r8b9fn0be2UrMHp2OGSPTOn9Ae6Ji5OA9xuYJ4PvIwa3f2QTtW7W7QPl+9e6C0Ab/UTFA6kj5q6WmhuaBgfLjXgMEJwH72Y4HBkzxQGI2iiusMNcmYP+pFEwc0CfgL0fRMthrNQvV1mxSezNNHcxKeb7ckhtFlfVIjDUhJiqIC7Iox+QJ1EVw7nY3B+1KAN/F2yR38I6fiDqmNwIGU4uvKN/vjWaf28obJFQ2uJGdHBf85CydoXlGt9UMtr6NrxYz3R1uC5+fL9Q58cWx87hySAoSY01BfqFenwdtDSz63Nfedt4zo+3d54bL7Ub+2Qokx5nRP7HzZsjqvkxxPG295nYGVX3uRzuDrm0/5nxNIxxNLmTYoqELVaYD0Mbkja6D+zu6r8X9nvvqm1wotjcgK9ECY2dlsWpr9TfWVhZKe3+TXd1W/tklAXnn7MhKjEVqfJAnX6MswX2+ANN08L9s2TK88847+PDDDxEfH6/U6FutVsTExMBqtWLp0qW47777kJiYiISEBNx9992YPHkyLr30UgDAzJkzMWrUKPz0pz/FM888g+LiYjz88MNYtmyZMnP/85//HK+88goeeOAB3Hbbbdi8eTPee+89fPzxxyF77eHKFhOF0upGVNY1oZ9K8dn+Qjtcbgkp8WZkWKO79iCdDhgyo/PtvDTUnMAHpw7C7kzDjPGd9wkItaqGJmw60Dy4seP4eRTbG5De1f9HwRQVDaSOkL9aamoAKk+3yBbwlBLYzwKOaqB4D64AcIURwFnPV4TSA+gLABUhPpAgcEk6uKGH0RCCS7M2U0RbXoygnW30bT+uVdquDhJ0KKhsgMMlv4fFq5gR1TUtsg/augBvdV8bWQsd3if/p9HpQpPTBaNeF/zsHL0B0Iug1ej53vOlb/Gv8r0nGBbfd/Hx56qcePbTE4gxG/H49WNgMgRxkE6n8wToXQnivW7XR3V7ANrhdGPG05+hvNaB16+cgNljMgL0okLvwbe+w6bTJZgdl47Xfzox1IcTMCu+O4sHdu5BnNmIb2+agRhTZGbRVdQ6cNlTn8HhcuN/5l2MK4emhPqQAuZn//4G24rLsHRINv5w7ahQH07AvPPVafxhyz4MSLJg6/1TVS0t7m00Hfy/9tprAICpU6f63P7GG2/g1ltvBQA8//zz0Ov1WLRoERobGzFr1iz8f//f/6dsazAYsHbtWvziF7/A5MmTERsbi1tuuQV//OMflW2ys7Px8ccf495778WLL76Ifv364Z///CeX+fODzSIH/1Uqdvz3TvkP5B97TpZNfr6zlQF7DjWt31eMRqcbQ1LjYIuJwnenK7AmvwB3Thkc6kPrnqhoIGW4/NWSsxGoOI2Vn36O/fvykK4rhw4Srs/JRGp8EAc5fGaf2ppp6upsk66DfekhAXhq3WGUVDkgAXj42lFIC+YIt07vCaKM8qyb3tDObQY5kOjSbWIfRp/bnlp3GH/ffhIA8OCcEfj5VWF23nbR96fLsei1nQCAi+L74P2fXxbiIwoMt1vC1c9sQUFtPUxGPb79zQxYPaVgkebvH+7DancmUA9cph+P68ZlhvqQAmLzoVKU18pNZz/YdS5ig/8LNY3YcqgUAPDZoRJU1DrQJ+iz/8GxYtc5AEBNoxMb9hdj/vi+IT6iwPhoTyEcLjnzbMWucxEb/BfbG/DF0TIAwId5BXhwzghEBXMwMog+8Jy7py/U4bvTFVyWuwc0HfxLXagFjY6OxquvvopXX3213W0GDBjQKq2/palTp2L37t3dPkbyJZr+qbncX7eb/flpdGYCDHodSqsbtTuD7mW1J+V/wfi+sFnk4H/V7sLwC/47YjTDnTQUz546i0JXJtISzCipasQZ0wD8cfaYUB+d6vLPVuIflfHKzwOqh+D+y9oYFAlzTpcbq/IKlZ9X7DqHn00ZFJEj+R/sai7N+fZUBU5fqMWAzpYrDUNfnbyAgkq5uanD6cbavYVYcsmAEB+V+hqdLqzJ9zp3vz+H63IiM/hf8f055futh8twvqYRyXGR1+toTX4hnG75erPJJeGjPYW4efLA0B5UAJwtr8PXJ8uVn1d8fy5ig38xyAEA6/cXo7qhCfHRkTcYuWp3ATynLs7XOLDtSBmm96RsVaOOlVb7TMyt2HWOwX8PRObwEIVMQoz85lqp4nJ/ezwz/+O62uzPTxaTEUNT4wAEaMk/FRXZ67HzxAUAwA25mbh2bCZMBj0OFlXhUHFViI9OXV+dvIBCewPio4340/yxAOSLNYcz8urJxQVLWoJ8gb3y+3NwuzsfBA0324+dR1l1I2yWKJiNehwtrcHeAnuoD0t1DU0urN0jB4rid7ri+4KOHhK2xKyM1fMZ8IHXxXck2XywFJV1Tcrr3HakDCVVDSE+KvV5z4ZnWqPhdEv40GvALpKIQY7hafLA64oIPXdXet57hqXJ1zlfHDuPInsPVyPSoGOl1cg/Z4dRr0NfWwwamtxYt7c41IelOkmS8MEuuQayr03u3xCp77tiEF28zrV7ilDvYENTfzH4J1WJjv+V9eqsT2+va8LJ87UAAj/zDwA5nufYo/Hg/8O8QkgScHF2Ivr1scBqicK0EXJam3cTwEiwwvOmf+24TFw9IhVpCWZU1jVhs+fCNFJ4zyg+tWAsEqKNKLQ3KIM8kURcoMzP7YtZo9N9boskGw+UoLrBib62GPxurtwIc8WuyBvQqW10Yv0++eL6mcXjYNDrsPtMJY6X1YT4yNQnAsUfX9wfEwf0gVtqzsKKJB/mybPh4/pZ8YupcjZZJP6NHiquwr6CKkQZdHh1yXgY9Trkn7PjqKfJcKSQJEk5d39+1WBcPDARkhR51wtAc6A4dXgKbrqkv3zb95F37uafs+N4WS2io/R4/ke5AIDPDpaisk6d62+tcLklrNot//5+P28k+vWJQU2jExsPRN6ATrAw+CdV2TyzIXaVZv73FFQCAPonWoLSgXdclpxdILINtMo75V8Q33+4uzBigos6hxPr9hUBABZP7AuDXqekKa6MsA/zzw6Wwl7fhPSEaEwdnqqkEkfaLJS9rrlR5eKJ/bDIs0LFmvxCNDojayRf/O4WTpAHOeLNRhRU1vuk3kaCT/YWoc7hwqDkWMwclYarhskDkZF27pZVN2LLYbm+dvHEvsrqKh/sOtelMsVwIgLFRRP64bqc5syyA4WRlVkmztGrR6RiSGo8pg6XV4WKtGDx21MVOFNeh1iTAbPHpEfsuesdKC6e2A8LJ/SFTgd8c7IcZy7Uhfjo1CXO3Vmj03FxdiJGZiTA4XLjo/zIytDZcew8SqrkTMHpI1OxaELzuUv+YfBPqhIz/3aVav6DlfIviJn//LOVmv1APFBYhUPF1TAZ9Jjr1YBp2ohUJEQbUVzVgK8iZLZ4w/5i1DlcGJBkwYT+8vIRC8fLb/xbDjc3o4oEH3gFiga9Trk4W7evGDWNzlAemqrW7pVLNoanxWN0ZgKuGJKsZHNsiaBsjpKqBmz3NGJaNKEfoqMMuDZH/nuNtIsWJVCc2A86XfO5u2p3AVwRMhAJyA21XG4JOVk2DEmNx7xxGRFZtnKwqAr7C+XZ8OtzMmGzmDBjlBwUr4igoNjpcmPVbjlQEgHF4ony4PLqCDt3RaA4d2wGLCYj5oxNR3SUHifKapEXJk2Ou+ILr0Bx2ohUZFhjcMWQZACRde56ZwqK91vvAZ1IIl7P9TmZMBsNyt9qpJatBAODf1KVVeWaf9HgIycIKf8AMDw9HiajHlUNTpzS6Cjx6jx51n/6yFSfbtpmowHzPF2nIyWVT9QoLhzfT2kGNzw9HmP6JqDJJSn11OGurLoRnx/xBIqeD/DcLBsGpcSivsmFT/YWhfLwVCU+yBd7AkWDXocF4yPvokU0Ypo0oA8GJssN/sRFy7p9RaiNkAGds+V1+OpEOXQ6eeAK8Lw3xUShyN6AL4+fD/ERqsf73AWAhOioiCxbEYHi9BFpStd7ce6u3l2AJldk9FvZfvQ8ztc0IjHWpMz4TxuRCpslCiVVjfjiWGScu/UOFz72fIaIz5f46CjM9py7kRQUr2gRKALN5+7K3ZFTcuWdKXjZYHlw44bcTKVs5VhpZJStVDU0YcN+Ob1f/B77J1kiumwlGBj8k6qsFtHtX50Z2WDP/EcZ9BidmeB57sqgPGd3uNwSPvQE/2116RWp/+v2FaOhKbxTqIvtDcrF14IWr1XM/kdK8zQxozi+vw2DU+RmTDqdTvmwi5T06eNlNdh9phIGvQ43jG/ukC5m27YcLkNZdWOoDk81kiQpvzMRKALAxAF9MDDJgjqHS6mRD3digO6KIcnIsMrNmMxGA66PsLKV/YV2JePqunHNGVeRVrbS5HJjtaex3yKvc3fKsBQkx5lwodaBzz2lD+FOpPZfn5MJk1G+HI7Ec3fjATl7rF+fGFzs1SFd/H4/yi+KiHO3rUARkNPi48xGnC2vx7enIqPkSpybCzyZggCQHGfG1OFyyZX3KjPh7JM9RWh0ujE0Nc4nDhCfqysirGwlWBj8k6psKs78l1Q1oLiqAXodMKZvcIJ/wDv1X3tpnDuPX0BJVSOsMVHKm7y3SQP6oK9NboYi6qrD1eq8Armp4cBE9E+y+Nx3fW4mDHod8s9W4lhpeDcVkzv2NtfXehP1il+fLMfZcm1monSH6NNw1bAUpMY3L6U5JDUeOVk2n8GtcLbnnB1HS2tgNuox1ytQ9B7QiYSZYu8mYi3PXRFYiGW2wp34fV0zKg02S3P/Ge+ylc0Hw79sZdsReUm/pFiTz2dMlEGP+bnyIF0kzBS37D3iTfy8YX8xqiLo3F04oR/0+ublVC8bnIz0hGjY65vwWQScux+3EyjGmAyYNzZySq7Kqhux9UhzSZm35pKrcxFRtqJcG03s57MUsChbOR5hZSvBwuCfVCVq/qtUqPkXKf9DU+MRazb2eH9dJT40tLjcn0hxunZchpLS5k2v1ymz5OHcgdp75lSkEntLjjNj6jCxukF4f5jvFz0cjHpcN853vfBIqld0uSVllrjlBQsALJ4gAovwPW8F8buaNTodCS3Wll7geZ07T1zAuYrwHtARTcTizEYl/V3I6WfFkNQ4NDS5w75sxeF0K8vcLZro+37kXbYS7n+jQPNruCG3L6IMvpeIYkDn04MlqAjzfiui98iI9Hgl208Y29eKoalxaHS68fGe8D53i+0N2OHJoFs0ofW5Kz5fIyHLYUU7gaK4DRDNScO75EpkCuZm2TDEszy1EEllK6fO1+K70xXQ61pnf0Zq2UqwMPgnVdliRNp/z4P/YKf8C2JJwf2Fdjg1VNtY73Bhvafzfcs3Qm/zPenUnx8pw4Wa8Eyh3ldQhaOlNTC1mDn1ttATQK76viCs6/i8ZxS9ezgISnrb9+Fdr7jz+AUU2RuQEG3E9JGpre737ii+v1B7WTdd1eh0KYFiyxlFAOjXx4LLBicBkM/dcCbWmJ43NgMxJt/ByEjKctjqaS6aHGfGlKGtM64ipWylss6BTw/IM8AtBzkAYGRGAkZlyP1WPgrzfive2VYtA0WdTqcEi+EeFK/cfQ5uTwbdgKTYVveL17n1SHifux0FigBw0cA+6J9oQa3DpZQGhCOfTME2Pl+8y1bC/X1XZApeOTQFaQnRre5fPDELgFy2Eu5lrsHG4J9UJRr+1TlcPa4hEzPv47JsPTyq7hmUHIt4sxENTW4cKdFOSvmmgyWodbiQlRiDiQP6tLvdkNR4jO1rhdMtYW2YzlqIkdyZo9JazZwK00fKqxsU2sN3dQOH093csbeN2XAAmDkqMuoVxe/0+txMREe1zlrx6SgexvWKm70aMV3uydpoSenl8H341ivWOZz4ZK+nvraNi1BAvgjX6+QMgVPna4N5eKoS5+6C8ZkwGlpfNkVK2cpH+YVwuNwYmZGA0ZltD7ovjoCguL3eI97Eufvd6fA9d70z6NoazAGAwSlxyI2Ac3dFJ4GiTued5RC+r3O/12pP149r+9wVf6Mbw7hsxe2WlCzA9j5fJg9OQoY1cspWgonBP6kqPtoIMYjek+X+JElSZv5zgjzzr9frMNbznFpq+rdKXIDm9m01U9GSGPkOx06oTa7mgLi9N30AnqXTPI2ZwnQGVcwopsSbceXQtgNF73rFcE1vq25owjpP1kpbKf+CuO/DvPDtKK4Eil6NmFqaPSYdFpMBpy7UYdfpimAenmo27JebiPVPtOCigW0PRqZbo3GFZ6Z8ZZieu+W1Dmw+JGbD2z93I2GZrQ+Uspz2M8u8O4ofLQnPjuLiXJwyNNmn94i3tITwP3fzz9lxvKwW0VF6zB3bdgYd0Hxeh+u56/YuKevgb1R8vuw4fh6FleG5RJz4fGkvUxCIjLKVr05eQEFlPeKjjZg5Kq3NbQxeZa7hem0UKgz+SVV6vU6Z/e9J3f/pC3Ww1zfBZNBjRHpC5w9QmUj9zz+njfTj8zWN2HZUrt+6oYOUf+G6HLkhXt7ZSpwMs1mLzw+XKSm2V7YzcyqIi9R1+8Kzjk9cbC0Y37fNGUVh8ST5ouXjPeH5OtftLUZDkxuDUmKR20EmT7h3FC+rbsSWw203YvIWazYqF+PhesEtZs/aSpv21ly2Ep7lOWvyCtDkkjCmb0KHn0XXjcuAyaDHoeLqsCxbOVZajfyzntnw3PY/Y5LizMqyeB+E4QW32y0p5TYdBYpA+J+7YtZ/1uh0xLeTQQeE/7nblUARALISLbgkO3yXiOuo94g377KVcP98uXZc25mCgnidnx8pQ2l1Q1COLRIw+CfVqdHxX6T8j8xMUJbgCSaRbZCvkS6ia/ML4XJLyOlnVZaC60hKvFlpFBdujf9Wehr4zc9tO8XW24T+fTDAs3RauNXxXahpbJ5R7CBQBORVHAYkhW+9ovf66B0Fit4dxcPxokU0YsppoxFTS+J3/vGe8KtXLKisx47j8mBkWw05vc0clYb4aCMKKuvx1cnwK88RAW57ZTmCzWLCNZ7AIxzPXbE02LThKUiJN3e4rdJR/PsCTfXF6YqdJy6g0NN7ZMbI9gNFILzP3Uanq7mkrJNBDu9zNxxT4sXf27XjMjoMFAH49HIIt5KrznqPeBNlK7tOV4TdBFBto1PJFFzcwSAHIJetjO/vKVvZHd59SIKJwT+pzqpC8B+qlH8hxzM7ebikWhMX5mKUen4XZv0FcVEuL5kXHh9y9rompeHUwk4utgFPHZ+n0/bKMEv9X5NfCKdbwti+VgxPj+9w23BunnbmQh2+OVUOXTuNmFoSF2efHQq/juKi/KSzi20AuCQ7Ef36xKC60Rl2Azqrvj8HSQIuHZSIrERLh9tGRxlw7bjwbEB1qLgK+wqqEGXQ4foOZsMFMRv3YZ7cST5cuNySsmpKZwORAHD1iFT0sUShtDr8OoqLc/C6nI5nFAFx7npKrsIsKP7Mq/fIZYM7zqADvM/d8Cq5qm10Yv0++f2zK++7c8dmICbKgBPna/H9mcoAH526Ous94i0tIRpXhmnZyrp9xahzuJCdHIsJ/dvvbyVEQg+dYGPwT6qzWnre8V/U2ov0+2DLsEYjOc4Ml1vC/sKqkByDcLysBvnn7DDodbgup+0GL225ZlQaLCYDTl+oC5sPubV75YZTI9LjMSqza+UeIqD84th5FNvDJ+2reX30rg3oiNf55fELYVWvKF7nFUOSkWGN6XR7udmY3FFczFyFg/2FdhwsqoLJoMd17axQ4U2v1ykDXOEUFEuS5DXIkdWlx4jZm/X7ilHbGD5lKyJt+uoRqUiMNXW6/ZShKUiOM6O81oGth8OnAdWOY+dRUtUImyUKV7exEkdLJqNe6SgeTv1WarwCxc5S/gURWKzbVxSW525HvUe8iXP3Qq0DW8Oo5Kq7gWKc2Yg5Y8Jvibiu9h7xJrZbGWZlK0qTygmd97cCgOvGZcJkFGUrob1eDxcM/kl1zWn//s3aOV1u7CuQ/4Bzs0Iz86/T6ZSsg1A3/fvQM+s/ZWgykuM6Tsf0ZjEZlXVQwyX1f8Wurs8+Cf2TLLh4YHjV8XV3RhGQ6xUvHRRer1Pu2Nuc8t9V3iP54ULMDF4zKg02S+eBItA88LMjjAauvj8jp5FaTAblIrozE/r3QXZyLOocLnyyNzwaUDldbqzypJF29f3IaNBjwXgRFIfPuSsGn67PyYTZ2PFsuCAGfjbsL+5Rc99g+mRvEeqbXBiUHIvxXVxFaOKAPhjoKS0TAwdaV1bdiK1HOu894s1o0GN+rufcDaPBSHGsC8d3LVAEmoPitfmFmsjs7Iqu9h7x5lO2EiYrIp0tr8POExfkTMEunrtWS1RYl1yFAoN/Up3N0rOGf0dLa1Df5EKc2YhByZ3XtweK0vQvhHX/kiRhVV73U/6FBZ7g4qM92k9DPelJw9Pr5I7S3SFKHFaGSdpXd2cUBXHB/UGY1Ct+c6oc5yrqEWc2YuaorgWKQHNH8T3n7DgSBh3Fm1xuZZmsjhoxtTQgKRYXD0yEW2rudaF1ojZ8zpgMxJqNXXqMXLYSXl2Ztx0tw/maRiTFmjBtROez4YIILDYfkutzta6qoUkpO+nOoOuYvgkYlhYHRxh1FF/htT56VwNF75KrcDl3u9N7xFu4lVx5B4oLuzG4PHlQEjKt0ahqcOLTgyUBPEL1KMvedeNv1KfkKkzOXTGxMXlQEvraOs8UFERPljX52r/W1QIG/6Q6Zebfz+BfzLSP6ZsAfRfS1QJlXJaY+Q9d99tdpytwtrwesSZDt4In4bLByUiJN6OyrgmfH9F2Kp9YynDKsBSktrFOb0fmjsuA2ajH0dIaJWtEq/yZURTmeJaIOxkm9YriYnve2AzEmLo2owjIHcVFwBUOs1BbD5fhQhcbMbUkBgvCoQFVQ5MLa/M77zbdlgUT+kGnA746UY6z5XWBODxViUyO63MzEdVJfa23EekJGNPXU7YSBuumf7KnCI1ON4amxmFcN3rshFtQfLa8Dl+f7HrvEW9iEP3L4xdwriIMzl1RltPFkjJhZEYCRmXI5+5He7RfcuVvoBhuJVeHi6uxt8AOo16nlNt0lSi5WrdXXppVy+SSsu5nfwLAlUPla91wK7kKFQb/pLqEHjb8y1ea/dnUOiS/iOc/cb42ZGmN4sNt9pjuBU+CQa/DDZ4PCy2n/rvdElZ6jq8rjf5aSoiOwszR4VHH5++MIiAvETfbk2qt9YuWOodTSfEWSxV2h/jwX7Vb+x3FlfraLjRiamnu2AxER+lxvKxWM0uLtmfjgRJUNzrR1xaDS7OTuvXYvrYYXDZYfozWm3NW1jmw6YA8I9idchVBzEKFw2zbB37MhgveHcVPlNUE4vBUIz4XLh+cjMxuBIoA0K+PBZMHyefuKo2fuz69R7oZKALN57vWP196EigCzdmC246UobRK2yVX4nVePSIVSd0o/QSaS67qm1xYp/GSq+9OV+D0hTrEmgyYM7Z7k11yyVX4rhQUbAz+SXW2Hjb8C3WzPyEx1oSsRPkiYV9B8C/KG50urPWkU3Z3psKbmLXYdLBEs7WZ33rSw+PNHa/T2xHxYb4mv1DT3Yr9nVEUxMXZ2j3arldcv68YtQ4XBiRZMGlA542YWgqXjuIVtQ58dkgOFLvaiMlbfHSU0pvjg11nVT02tX3g1YjJn6ys5nXTtZ3l8NGeIqXx6OjM7veduT63L6IMOuwrqMKhYu1mIp06X4vvTldA78dsOACkJkRjyjDRUVy7QbEkScrxdTdjRVCap+3W9uo54vNlxqjULvce8eZdcnVUwyVXIlC0mAzKgHh3DEqJw4T+NrgleUUkrZIzBcW52/3Pl3AquRKD6HPGZsBi6lpJmTcxCLTlcHiUXIUSg39SnUj79yfQbGhy4VCR/IGTE6Jmf96Uuv8QNP3bergM9vompCWYMXlw92bZvI3KaK7NXL9PmyO/4sJMngXtfoYDAFw5JFnptP25RrsV2+ualBlFf2YrAODSbDnFsbrBqexLi7xnZbo7owjIHcVvyNX+SL482CRhdGbXGzG1JC7qPsovQqNTmwM6xfYGfHHU00TMj4tQAJg1Oh2xJgPOlNfh21MVah6eqsT55s+sPyAPHF8dBmUr4m/0yqEpSOtmqZUg3sdWfn9Osx3Fvz1VgTPl8ozirNHdDxSBliVX2jx3fXqP+Pn5khRnxtTh8rmr5cwV8Xc1d2zXe4+0JN7HVuzS7oDO9mPnUVbdiD6WKEwb3r1MQSEcSq7qHS6ld4i/5+7w9PiwKrkKJQb/pDrR8M/uR7f/A0VVcLolJMWaulXDFSii438omv6JNP0bcru2VE97dDqd0ixQi13iG5pc+NiTjrawmzWK3ry7FWu1edqaPYVeM4r+BYp6ffNIvlaD4oLKenx5XO4u3JOsFXERsPGAdrNWehooAnJvjgxrNOz1TfjsoDbrFVftLoBbAi4a2AcDkmL92ofFZMQ8zzKIWs1yOFZajfyzlXLJVBdX4mhLc9lKoSbLVtxu79lw/8/dazwdxQvtDdip0Y7i3oGiPzOKgFxyNWeMOHe19zkKAJ8rvUdMSkaGP0Sd+OrdcuNArWlo6nmgCADXepaIO1xSrdleQeLz5YbcvjAZ/QvZwqHkauOBYlQ3OtGvTwwuyU70ez/hVHIVSgz+SXXWHjT82+MJssf1s/o1W6g2Ufcf7KZ/3kHA/B5cgApiH1+dKEeBxtaI37BfbkTTr08MLhro/5s+0Nwv4NMDpX4vNRlIK7wCxZ6c3+J1bj9ahhIN1iuu+v4cJAm4dFAishItfu9nTN8EDE+L12xH8SMl/jdi8mbQ6zRdr+hdX9uTQQ6g+WL9k73FqHNorwGVCOymDU9BSnz36mu9TRuRiqRYE87XNGLbUe1lIn118gIKKusRH+1/qRUgdxQXteVazHKodzQPLvdkkEN+vPw3qtUl4sTf6A25ff0qKROmjUiFzRKFkiptllxt2F+s9B7pSaBojYlSzn0tpsR7Zwqq9b6r1ZIr8bm3cEK/HjX69i65Olys3bKVUGPwT6qzWprT/rubBiiC7FDX+wtj+lqh1wFF9gaUVgcvyPpkb3PN6Sg/Z4i9ZdpicOkg+UPyQ42lQ4mR6IXj/asj9jYqMwEj0uPhcLmVfglacay0BnkqzCgCwMDkWEwa0AduSXvZHHKg6Ok27Vma0F86nU654NbiTLH3ko3dbcTUkghMPj9SFtT3mq7IP2fHsdIaREfpMXdsRo/2ddHARPRPtKCm0aksMacVLreEVbv9byLmLcrQXLayQoMzxeJi+9pxmX6XWgni/9W6fdrrKL7xgHxMWYkxuLiHg8tKyVWjExs1VnJVUetQJgx6GiiajQalUbAWB3S8m1T29JpBvO9+mFeguSXi1u6Vl60bnuZ/pqAwe4x2S66K7Q3Y4RlkWtSD7E9ALrkS5RFaHNDRCgb/pDox8y9JQHU3LwREbX1ulk3lo/JPrNmorJO752zwZv9FQDe/BynTLYmZxVXfa6e+rbSqAds9s2L+dPlvi7jwWamxN37xQTR1WM9mFAWleZrGloj7/kwFTp6vhcVkwBw/GjG1ND9X7ij+/ZlKTXUUd7rcygoVPZ1RBIDBKXEY398Gl1vCh7u1tcyWCABmj05HfHRUj/YlL7OlzaD4i2PnUVLVCJslCleP9K++1psYuNp0oERTmUi1jU6s3ycPvCz2swGetwn9bRjk6Sj+icY6iisziuN7Hij6nrva+nz5yFNSNiojASMzej5hIN7TNuwvRlWDdkqu1AwUAblXUGq8GRV1TdiisSXiPlApUxCQS67EwK3Wzt2Vu8/BLQEXD0z0u6TMW/M1oPZXCgoVBv+kOrPRAItnWTp7N5b7q2powvGyWgDo1nrDgTZOSf2vDMrznauowzee9Yh7kkrc0uwxGTAZ9ThaWoMDRdqob/swrxBuCZg4oA8GJvf8TR+Qu+iLYPHk+VpV9tlTLrekLBGlRqAIAHPHZcDs+X3uDcFqFO0RadOzx6T73YjJW2pCNK7y1K9qaSRfjUZMLWkxNbPR6cKafHkwQq1zV7zOHcfPo1BDZUjiovj6nEyYjT2bDQeA0ZlWjMxIgMPlxkcaykRat68YdQ4XspNjMaF/91fiaEnO0GkejNSKInu9krbe00wOQaslVyu8ZsPVMLavFUNT49CosZIrNXqPeNPqEnHHy2qw+4wnU3C8OteB4tz4eG8R6h3aKFuRJMnr3FVnsmvq8FQkekquth/VXtmKFjD4p4Borvvv+mzHPk/Kf19bTI9TaNUkmv7lBanu/8M8+UL70uykbq9H3BFrTBSuGSnXt2llrWIRzPWk0V9LqfHNy0+t0kiwuOPYeRRXNcAaE4XpKswoAkBCdJSyxJFWLloamlxY6wkUe5p66k1ctKz6vkAzHcVXqNCIqaXrPA2oDhVXY3+hNgboPjtYCnt9EzKs0bhscLIq+8xKtOCS7ERIGipbqWpoUsoQVD13NdicU5TQLJrQV7XeOgvG94VOB3x9UjsdxVftLoDkmVHsn+R/7xFv2V4lV6s1cu4eK61G/jm598gNueoEiloc0PHuPaLWYA7Q/Pmy5VApLtQ0qrbfnhCZi1OGJiM13r+VOFq6eGAishJjNFVylX/OjuNltaqUlAkmo16ZOGPjv7Yx+KeAUIL/bsz853uCay0s8ectx1OCsOdcZcBn4+T1iOU3qwUqBsSCKCP4ML8w5F18DxRW4VBxNUwGPa4dq16GA9A8O7NytzaCRXHBotaMoiAugNbkF2piibiNB0qURkyXZvu/PGVLM0amIUFDHcXtdU1Kza+agaLVEoVrPA2otBIsiuNYML5nq460JP6/faCRspWP9xSh0enG0NQ4jO2r3mfQ/PF9YdTrkH+2EsdKQ9+A6mx5Hb46IWeWLVAxgMq0xeByz+CQFjJ0AjGjKCzS2Lkrsq2mDk9BsooTJwvGyyVX352uwCkNZNH59B4Zp06gCADD0uIxtq8VTrekZDmFkstrJY6e9s3xptfrsHB8c3aZFoiBSDVKyryJz5dN+0u6lYHcWzD4p4AQy/11p+O/SKvXSrM/YUR6AkwGPSrrmnC2PLApqvsLq3C8rBZmo16Z1VXTVcNS0McShbLqRnx5PLTpUGKQY8aoVKVJpFpmjkpDvNmIcxX1+PZUuar77q5AzSgCwOVDkpGeEI3KuiZs1sAScSt2NWdy9LS+1pt3R3EtBMWiEVNPlmxsz2KvAZ1QN6AqrW7A50fknhxqpRMLc8ZmICZKrJteqeq+/aFmfa235Dgzpg5P8TxH6GeKRabFZYOTVF9OVwTZKzXQVyYQM4rCPA2VXHk3qVT78yUtIRpXDpXPXS300BGfL7NGpyNBxUAR8Oqho4HXufP4BRTZG5AQbVQtU1AQEwZfHDuPIntoS64anS58lK/OShwtjfZq/vzRntAP6GgNg38KCFuMCQC6tTZ3vmeZvxyNBf8mox4jM+IBNDckDBQx2jtjVJrqH26A/FquHScHUaFM/Xe63FjtKW8QI9Fqio4yNDe3CfGH+Sd7itDQ5MaQ1DjVe1kY9DolQyTUr7PEq3mjmimZgrg4WK+BjuJKt+kJ6gaKAHDl0GSkxJtRXuvA1hA3oPpwt5whNL6/DYNT4lTdd5zZiDljtVG2cvJ8LXadroBe19wYVU0isFi1+1xIM64ClTYtzBqtnY7igZpRBOSSq5mj5XM31Cnx3k0qp41QN1AEmt93V4S45Mqn90gAzt3rczKVJeIOFYe25Er8jV6X0/OVOFrqn2TBxZ6Sq5UhLv8UJWXpCeqVlAk6nc6nhw75YvBPASFm/u1d7HBcVt2IQnsDdDpgrIaa/QkiG0EMUASC0+VWPtwWBuACVBCp/+v3h26d7e1Hz+N8TSOSYk24yjMrpjbRR+CTvcUhbW7jfbGtdqAo9gsAWw6Xoaw6dPWKohHTJBWbN3obn2XDoJTQdxQPRCMmb1ppQCVJks9seCCILIe1e0K7broI4KYMS0Fqgjr1td60sm76d6crcPpCHWJNhoBklllMRszzpGOHcmnOQM4oCqKXQ6gzdNRuUtnSzFFpiI82oqCyHl+dDF3JlXegePkQdQNFAOgTa8LVnsGTUA7oVDc0Yd2+wJ67izXSWPYDr0xBNUvKhBvGZ8Kg12H3mUoc19BKQVrA4J8Cors1/yLlf3BKHOJU6BCuNjFjuyeATf92HL+A8zVy93DRsC4QJvS3YUCSBXUOFzaFaK1ipQY+NxNRhsC8DV3k1dxm44HQNLc5db4W354K3IwiAAxJjUNOlmeJuLzQjOR719cGKlD0HskPZVAs0l+vGpaiWiOmlsTr3BzCBlT7C6twuKTaJ1tIbZcO8qyb3hC6ddPd7uY+K4GYUQS0s266eO65YzNgMQXmc1b8P/xkb+gGlwM5oyhcOTQFaQnyEnGbD4UmQ8e7pCxQ5250lAHXjhNLxIVuplicuwsCFCgCzf8PV+0uDNkScev2FqOhyY1BKbEYH6Alr+eMTUd0lB4nymqRF8AJrY6UVTcGrKRMSI33WilIA+WCWsLgnwLC2s2af9HsT0tL/HnL9bwJ7yu0Byxtc5VXqlegAmJADqLm5zbXZgabvb65WVqgLlgAubnNgvHN672GgggqrhiagnRrYAJFwLteMTSvc885O46W1sBsVLcRU0sLJ8gdxb85WY4zF4LfUdy7EVMgz93h6aFvQCUGWGaOSlMGc9WmhXXTd564gEJ7A+KjjUqzxUAI9brp9Q4X1u4J7IwiIA+69k+0hLSjeDACRYNep2TRhWow8hNPk8pAlJR5E+916/YVoTYEJVdl1Y3YeiRwJWXCtBGpSPIsEbfNU8IWbB8EOFMQAOKjozBnjMjQCc25+2FeAVxuCblZ6peUeWse0CkIeZNrLWHwTwHR3Zp/MfOfG6CRzp4alBKHWJMBdQ4XjpWqnz5U2+jEhv1yQByoGWJv4qJl+9Hgp4qv21sEh9ONYWlxqjdLa2mh1+ssDfKazG63pATjgZoNF64blwGTQY+DRVXYXxj8BlQikyMQjZi8ZVhjcMWQ0HUUF42Y1FyysT2LQtjLweF0K1kkgQwUgeaLs1Ctmy4CxUDU13ob29eKYWmhWzd94wG5V0a/PjG4eGBiwJ7Hd0An+IORwQoUgeb06a2HQ5OhE+iSMmHigD4Y6MkWXL8v+AM6IlDMybJhSGrgAsUogx7X54oMneCfu2cu1OGbk/JKHGouf9wW8bfxUX7wS66CUVImTB+ZCmtMFIrsDdh5PPQrBWkFg38KiOaa/86Df0mSlFp6rXX6Fwx6HcZ4ln8KRNO/jQeKUd/kwsAkS1AGQLKTY5GbZYNbkt/8g0nMnC4M8AULAAxMjsVEz5rMH+YF93V+dfICCirrER9txMwAzigCgM1iUmYtg33R4t2IKdAf5EDzRcvK3eeC3oBK1DFfl5MR0EARAK7P7RuyBlRbDpeioq4JqfFmXBmA+lpvA73WTV8V5HXTaxqdWLcvMCtxtBTqshXvJpVqrsTRFvE6dxw/j8LK4HYU955RDGSgCABD0+Ixrp+coRPsz5dglJQJWjl3g/n5sulA8JeIE4M5VwxJRoZV3ZU4Wpo8OAkZ1mhUNTjxWZBXCtovlnk26nFdgErKBHmloND3IdEaBv8UEErNf33nDf/OVdSjoq4JUQad0lVfi3I8QXkgmv6t2i1fOMwf3zfgAbEgRpaDecF95kIdvjklj2yL0oNAWxiiGVQRhF87LvCBItC8zNaHeQVoCmK94uaDpaisC1wjppZmjU5HnNmIs+XBXcaxuqEJ6wNcX+stMYQNqMTF9oLxfWEMYAmSsDhE66Z/srcI9U0uDEoOXH2tN7Fu+q7TFTgZxHXTi+z1SqPBYJy7WYkWXOLpKB7sAR1lkCMIgSKAkHUUD1ZJmSBWldl54gLOVQSv5Gp/oV0OFA16XBfAkjIhVEvEud0SVu4ObO8RbwavDJ1gB8Xib+WakWmqL/PcFvH/c/3+YlSHoORKixj8U0B0p+GfmEkfkZ4QkG61ahFLEKrd9K+0qgFfeOrLghUQA8C8sRkw6nXYW2DHsdLqoDyn+HC7YkhyUC5YAODasZkwGfQ4VFwdtJT42kan0rE3GLMVADBlaAqS48y4UOvA1sPBq1cUH+TzxweuvtZbjMmAeWODX68oGjENTokNWnlSKBpQXahpxBZPA7NgBVBzPeumHyutCWhT1Za8A8VgDLqmJkQrzVyDOaCzancBJAm4eGAi+idZgvKcyhJxQRzQCXagCDQvEbe/sAoHi4KToeNdUrYowOnhQr8+FkwelAQguMsEi0H0GaNSYbOYAv58Op3OZzAyWL49VY6z5fWIMxsxa7T6K3G0ZaHn82Xb0fMorQ5OyZVcUha8TEEAnr4CsWhocmPd3tD0IdEaBv8UEErafxdq/vdovNmfII7vUHEVGp3q1UityS+EW5K78AdiibT2JMWZlU6oq3cHfoRbkiSvlP/gDXJYLVGYMUqeQQ1W4791+4pR53AhOzkWE/r3CcpzykvEBbejeFl1I7Z4BhoWTwze71QEFp/sLQpaR/FgB4qAbwOq7UeDs0Tch3mFcLoljOtnxbC04GRiJURHKUvPBeuCO5j1td7EBe/K74NTthLM+lpvc8dmICbKgBPna7E7SB3Fgx0oAvIScdNHiJKr4Jy7X58sl0vKghgoAs3vuyt3FwRlQKfJ1dx7JJjn7g258kB23tngLREn/kbnjc1AjCk4k2CDU+Iwvr9npaAgXAMCcn+M8loHUuLNuHJo4DMFAU/ZSggGdLSMwT8FhPjgbXS6O20mItLoczTa7E/o1ycGibEmNLkkHCxSb6Z8tefDLRiN/lpa4JX6H+gL0V2nK3CmXF5jOpgXLEDzDOqHeQVBmUFdodTXBq+MA2i+OPvsUAkqajsvuekp30ZMwSvZuWhgH/RPtKDW4QpKR3FRrqLXAQvHB+8i1LsBVbAuWkQmRzAvtoHmv9E1+YWqDq62J5j1td5mjExDQrQRhfYG7DwR+AZUeWcrcaKsFtFReswZG7z33TizEXOCOKDjHSgGI23am3jfXZ0XnAwdce7OC1JJmTBnTDosJgNOnq/F92cqAv58Ww+X4UKtA8lxZkwZGrjlj1tKiTcHdYm4OocTn+wN/EocbQl2yZWSKZibGZSSMmHBeM9KQadCs1KQ1jD4p4CINRmUFOCOUv9dbgl7C+SZ/xyNNvsTdDqdMvuvVt3/0ZJq7CuoglGvw7wANz5py4yRaYgzG1FQWY/vTgf2w1ykKc4J4BrT7ZkyLMUzg+oI+Azq2fI67DxxATodsCDIF6Ej0hMwOjMBTa7gLBGnrGYQxJlTIPgNqMQFy+VBLFcRgtmASl4togpRBl3AGzG1dPmQZKQnRMNe3xTwBlTBrq/1JjegCl6Gjjh3Z49OR3wAV+Joiwhk1gaho/jn3oHisOAFigAwdXhK0JaIq21sDhSDPUAXazZ6LREX+Cw68fcR7EARaP5/G4wl4jbsL0atw4X+iRZcNDA4mYLCteMyYTLqcbikGvsLA1u2Ul7rwOYgl5QJoV4pSGsY/FNA6HQ62LrQ9O94WQ3qHC5YTIaAd+ZVg1iNQK2O/6IZ0tThqUiMDU6aorfoKIMyOxPIxkwNTS6s9TTPCWaKreCzhE+A3/jF/8fJg5LQ1xa8GUVBXLQE+nXuL7TjYFGVXF+bE/yBK3EefXlcXlUhUOT62tDMhgO+DajWBLgBlbjYnjEyDX2C/H5k0OuUTKRAB8XfhKC+1pu48F23T15+L1AamlxYo9TXZgXsedozeVASMj0dxT89WBLQ5/rAK1CMCnKgGMwl4tZ7SsoGJlkwcUBwA0WgubFsoAd0Kmod+OxQiec5g/++671E3JfHAzth4L0SRzAzBQG5P5dYKSjQA+lr8grQ5JIwpm8CRqQHdpnntnhfGwV7pSCtYfBPASO6eHY08y9m0MdkWoPSLKyncrPkmX81mlK5vZYHCkXKvyAuuD/eE7h0288OlqK6wYlMazQuzU4KyHN0RszwbTxQ0qVeFP6QpNAGioDcgMqo12HPOTuOlASukWMo6mu9ZSVacOkgT0fxAA50fHOqHOcq5PramaOCHyh6N6AKZFDc5HIrJUjBng0XxPNuPVKGsurArZu+IgT1td7GZ9kwKCUW9U0uZRY3ED47WIqqBicyrNGYPDj477t6vU5pKhbIwCLUgSLQ/H4f6Awd8fkSjKVy23JptjyoXd3oxMYDgRvQWZNfiCaXhNGZCRiZEfxA0WxsXiIukO+7hZX1+NKz/nwoJkaA5nP3w7wCOJyBK1tpblIZmr/RmaPklYLOVdTjmyCuFKRFDP4pYMTMf0eBlgiic7K03exPEDP/x8tqejxj882p5qY900emqnB0/rk0u3m9V9HlW21iWaIFE/oGfI3p9ozOTMCwtDg4nG6sC9AF93enK3D6gtzXQDQwC7akOHPAl4gLZX2tt+ZltgLXgEppxDQuNIEi4NuA6lhpYBpQbTtShvM1DiTHmXDV8OCmTQtDUuOQm+VpQJUXmBlU7/raxZNCc+4Gq2ylOVAMzkocbREBzbYjZSitCkxH8Y/2yIHiqIzQBIoAMDrTGvAMnYLKeqVPRKgmDPReS8QFMigW564WPl8CuUScWInjkuxEZCUGZyWOlq4ckoyUeDMq6pqw5XBgrgEPF1djb4EdUQYdbgjiqlbeYkwGXDsu8AM64YDBPwWMmA3saBRcpM+P03i9v5AcZ0ZfWwwkCdjbw9n/1Z708Lljg9u0pyW9XqekLAYi9b+suhFbj8h1kAuC2CytJZ2ueRYqUCnx4gNlbgj6Gnjz7sociAZUW0NYX+ttjqejuNyAqlL1/dc5nMpAUagyOQC5AdVU0YAqQOeuCEJvyO0b9LRpb4FuQLV+n1xfOyDJgkkhSJsWFk7wNKA6GZgGVKXVDfjc8767MIQB1KCUOEzob4Nbam5uq7YVXitxhFKgM3RWfX8OkgRcOih0gSLQfD5tP1qGkgAM6Bwpqcaec3YY9TrckBv8kjIh0EvEhWoljpbklYICO6AjPremhajEVQjFSkFaxOCfAsbaSc1/o9OlrIur9WZ/3pSmfz2o+29ocuFjT1AxP4Qp/4J4499yqAyVdep2iV+TX+jVET60fR3m58oX3N+eqsDpC7Wq7rve4cLaPaHp2NvStOGp6GOJQll1I7YfU79ecUUI62u9xZmNSgfzQMygikAxVPW13sQ5tep79RtQVdQ6lCZ7obwIBYDrPA2oDhUHpgFVKOtrvQW6AdWHu+X33fH9bRicEtr3XdFvIBADOkdLqpGvgUARCOwScXJJmVj2Lvj9G7xlJ8di0oA+8oBOACYMxOfLtBGpSIozq77/rgr0EnHfn6nEyfO1iIkyYM7YDNX33x0iy2HzoVJcqFG35MrpcisTS6G+Npo0oA8GJMkrBa3fF/iVgrSKwT8FjBL8tzPzf6ioGk0uCX0sUchKDH5jNH+JJQn39CD433youQb+kuxEdQ6sB0aky+mSDpdbGZRQy0olfS/0gxzp1mjlglvtLIeNB+TmXf36xODigaH9nZqMeiW1Tu2RfC3U13pb7LloWbtH/QZU4oIvVPW13kQDquIq9RtQfbSnEA6XO6Rp04LVErgGVOcq6kKeNu1tsZKho24DKq3MKArzxmXAZNTjSEkN9hWoO6DzgefzZerwVCSHMFAEArtE3PdnKnDyfC0spuYmvaG0KEAZOj6BYggzVoRALhEnBv3mjJFr0UNpeHo8xva1wulWf6Wg7cfOo6y6EYmxJkwbHroSV8C35Ko3d/1n8E8BY7N0XPO/xyvlP9QX1t3RvNyf/2n/4sPthvGhq4FvacF4edZEzZH8Q8WhWzqsPeKNf6XKdeLeM4pa+J2Ki/6NKjegCnUjppYu9ayqUN3gxCYVG1B519eGqhGTN7PRgOs9qyqoHRSv0FCgCDQP6KzJL1S1AdWq7+X62smDkkKaNi2IBlRny9VtQLW/sAqHS6phMupxrQbed60xUZjpGdBR84Lb5ZaUz6vFE0P/NwoEbok4sbTe7DHpiA1xoAjIAzpmox5HS2uU5ZrV8MWx8yitbkQfS5TSuyaUApWh09Dkwkf5YiUObbzvigkatYNi8Xl1fY6c1RVqYuA30CsFaVnofwsUsZqX+ms78MgXzf76hUezP2FsXyt0Ojk48Cc9qqLWga2epipamH0Srs9pTok/W67OCPcqT5ri1SNSg750WHtmjk5DrMmAM+V12HW6QpV9Ftnr8YUnvV4LsxWA1xJxTjfW7lVvJF8LjZi8eTegUjMoFvW1kwcloV+f0AeKQPNF4ob9xahSqQGVltKmhSuHyg2oymsdqjWg8l6JQwsZK0DgGlCJv4NrRqUpGXihFoiO4l8cO4+SqkbYLFGYpoFAEQjMEnHeS+Uu1sj7bkJ0FGZ6lslU89wVpQ1aCRSBwCwRt+lACaobnOhri8Glg0KzAlJL1+f2RZRBh30FVThUrE6Gjr2uSRmU18ogR7BWCtIybfxlUUQSS/21N+solvkLl2Z/Qnx0FAYlxwLwb8m/j/cWKZ2Jh6XFq314fku3RuPywfIItxqz/y63pGQ4hLLhVEsWk1GprxMXGj0lOvZenJ2I/knaCBQD0VFcK42YWlK7AZVvfa12zt1x/awYkhqHhiY3PtmjTnmOSJsOdX2tN6NBj4UqN6DadboCpy7UaSZtWlC7AZXD2bwSh5bO3SuHpiDV01F8s0qryqzwmlE0G0PXNNdbIJaI02KgCDTPFKuVoWOvb8KG/XIddqj7GngLxBJxYiBygYayPxNjTaqvFLR2r3xujEiPx+jM0GcKCsFYKUjLGPxTwNhi5Jnethr+1TQ6cczTEGdcmCzz5000KMzzDGB0hwiItTTrL4jmg6vyev6GuMOTvmezRIW8zqslMVOsRp24T32thgY5AOCG8Zkw6HXYfUadBlRaacTUkncDKjV6OXjX14Zqyca2qF2v6HS5lewcrWRyCCIoVqsBVXN9bYYm0qYFtRtQbTlcioq6JqTEm3GlJ11ZCwx6XXNHcRXO3aqG5kBRc+euykvEaTFQBNQf0Pl4TxEcTjeGpcVhTF/tBIoxJgPmjVVvQKekqgHbPCtxaCULSRDn7qrdhaqsFKSVBqstySsyiZWC1MkADScM/ilgrB3U/O8rsEOSgAxrNFLjo4N9aD3mb9O/MxfkVHO9Dsryeloye0w6oqP0OFFW2+M6PnHBoqX0PeHS7CRkWqNR3eDEpwd7Vieed7YSJ8pqER2lVzrPa0VqfLTSgGplDy+4tdaIqaVFXsts9XTgSlywaC1QBDwBgKc859T5nq1YobX6Wm/D0uIxrp86DagamlxYmx/6JRvbonaGjghOFozvC2MIV+Joi/gb3aLCgM4ne4rQ6HRjaGqc0odHK3KzbBik0hJxpRoOFA16HRaoWCfuXVKmpUARABZPUi9DZ/XuArglYOKAPsj2ZJFqxbQRqUiKNeF8TSO2HS3r0b6Ol9Vg95lKGPQ63DBeW9e7sWajMrAv+mn0Jtr6ZKCIYuug278ImsNpiT9v4mJjzzl7twINsc7x5UOSkZagvUGPOLMRM0fJb4gre5ASX+01K6OllH9B73XR0pPXCfjOKMZHa6O+1pt3g8OeNKDaruFAEVCvAZWWA0XAs2LFUHUGdESweUNuX80N0AFQLSjesL8Y1Y1y2rQWVldpSWQi7TxxAecq/O+3cqGmUZmB1eIAnfeAzod5PRvQUWYUJ2ovUNTpdMp7xwc9/BtdpeFAEWjOduvpgM6JshplYkSLWZFqZej49B7R4N9olEGvTEyt6GFQLD6frhqWoslJvkCuFKR12vu0p4ghGg1VNzhbpQ+JTvnhmPIPACMzEmDU63Ch1tHlbqGS1FwDPz9Xex9ugvjg/Si/EE1+pn2t21eMhiY3BqXEarahoxiU+PxIGcqq/btoaWhyYY3nIlaLH+SA3IAqIdqIInsDdh6/4Pd+Vmg8UEyIjsKs0WIk3/8L7o0HSjQdKALeXZkL/G5AZa9vwkaNNWJq6fqcTEQZdNhfWIWDRf43oPIOFLWUNi3062PB5EFJngZU/l9wr8kvhNMtYWxfK4ana6efjDc1ylZOna/FdxoOFAGvJeJO+r9EnNYDRQAYqtKAjhiEnzIsBakanBjR6XRYOL7n5+7eAjuOlNTAbNRjnqfZp9aIc21TD1YKcrkl5Xeq1XPXe6WgjSquFBQOtHcFRxHDu8twVYNvmlR+mM/8R0cZMCJDvrjq6pJ/+efsOHm+FjFR2qojbumKoclIijXhQq1D6WDfXSs1nL4nDE6JQ26WDa4epBV/drAUVQ1OZFqjMXmwdhoxeYuOMigj+R/sOuvXPrwDRa1+kAPNabFr8gvR6PRvJF/rgSIAzBqdjnizEQWV9fjqpH8DOmv3yI2YhqdpqxGTtz6xJkwf4Vkizs8BnWJ7A3YoK3FoM1AEfDuK+1u20hwoavd1qjGgIz5frhiaoskMOkCdJeL2FVThSEkNTBoOFIGeD+i4vZoDa/nzRWTofHn8Agr9XCJOvI/NHJ2umZU4WlJWCnK5sWaPf9dGO49fQJG9AQnRRkwfqb1MQcB3pSA1V6wIBwz+KWCMBj3iPfWylXXNTf8u1DTiXIX8xjmmrzZnhbtCrFLQ1bp/0UF/5ug0zdURe4sy6HGdZz1xf7r+n6uow1cnyqHTNTcQ1KpFSuq/f2/8IpheMKEvDBoNFIGeN6DyDhS11IippSuGJCMtwYzKuiZs8aMBVbG9AV946hy1HEBFRxlwrdJR3L+ZYnGxs1iDadPeRFC8Os+/TKSVu8/BLQEXD0zEgCTtpU0Ls8ekw2Iy4NQF/5YgPVRchX0FVYgy6HC9hjPLejqg43Y3r8Sh5b9RwKvkard/S8SJYHqmhpZsbIv3gI4/S8R9dUJebz0+2ohrRqUF4AjV4bNEnB/XRo1OFz7MF5mC2j13vctW/A2Kxbl7XU4moqO0sRJHW9ReKShcMPingGqr6d8eTz3uoJRYTX+gdSbXE/zndyH4b3K58ZHnTV/rATHQnEq5YX8xahq719xGDBhM9qRUadm14/y/aCmtbsC2o/KMohb7GnjLzbJhcA8aUK1QZsP7ajpQlDuK+18nLuprLxrYR9OBItAcFK/bV4Tabv6NHi+rwfcabcTU0lXDU5obUB3pXgMqSZJ8zl0tizUbMVdZgrT75654nVePSEVirEnVY1PbImVAp6DbAzpfnyyXA0WzUSnz0apZo+Ul4s6W1+Pbbi4Rp9UlG9vS0wEd8V6t9UAR8O1D0t0MnS2HSlFZ14S0BDOu9PRt0aobcuUJjbyzlThW2r2VgqobmrBun3b75nhTe6WgcMHgnwLK5gn+K72Df0+afLim/AuiX8G+gqpOR/W3Hy3DhVoHkuNMmlp+qT3j+lkxKFkOFjd0o7mNJDXXeWk9IAbkixbRvK67tbYf7i6Eyy1hQn8bBqfEBeLwVKPT6ZQL7u4GxSc8gaJep+1eFcJiT5C35XD3ejl419dq/YIFACb0lxuA1TlcWNfNBlRab8TkLcqgVwZMuxsU552txHHPShwisNYycd6tzS/qVgMqeSWOQs8+tLM+enumKgM6jm4P6Ij3r2tzMjQfKPosEdfNc3fzIXnJxtR47QeKQPOATneXiKtpdCrvX1pO+RfmjM1ATJRYIq6yW48VXeXnj9d2piAApMSbMdWzUlB3z911e5t7PuV6VsbSMjVXCgoXDP4poMTMvnfTEDFTrrXlebprSEocYqIMqGl04sT5jkdGxYXZdTmZmlt+qS06XfOazGKFgq7YfbYSJ8Kgr4G3hcq6tl3vhi9Jkk9teDhQGlCdKsfpC11fIm6Fd6Co0fpab0NS45Hj6eXwYTfO3T3n7DhWWhM2gaLcgKr79Yrh0IipJXGcnx4o9Skh64w4d2ePTtfkShwtXTwwEf36xKC60amsltIV246W4XxNI5JiTZg6XPuBYpRBjxtyuz+gU9voVGYUw+bc9Xw+fLyne0vEif8vC8IgUAS8B3S6t0Tcur1FqG9yITs5FhP62wJ3gCqJMxsxx3Nt051z93xNI7YelkvRFofZubuqmysFfRAGPZ+8qbVSUDjRfhRCYc0WI6cfigs2SZKUGvlxYT7zbzTolfrnvA6a/lU3NGGj50JOq52J2yIuznYcO9/lWigxozh7jJzuGA6mDU+FzRKF0urGLjc43F9YhcMl/3979x4cZXn3Dfy7m2Q35/P5HBIIxwQMEFIVlVBIaCOHONWW6UTqg48VHJWxOvJUI1Pfoa+dsbYdi+/TVvtHRS0UEKyCioBPlYMC4UwKAZ8AOREOOZLj3u8f99733rtskgUSdq+L72cm02R31WubK9dev+vw+7XB4m/GD/N8+9i0xjkBlWdBsc2m6CciRFnkAICHDNnwPaUt5ogSKALAooJUmEw3ViJOS8QUERTgs4mYXI1PDsf4pHD0GK5PDcVYiUOE3XBATUB1M+UNtbwPD05ORoAAi8uA4xrGjSzobD3agM6efmTGBKMgI2okmzdspmVGIT1aLRHn6YLOpfZuPWeJKOPuzZaI0xfR7/LtK2VG2gmdLYc8LxH3YZVaiSM/NQKjE3yzEoer4nHxiAgKQENrF76u8WxuVHupE/vOqjmfFvlwXgOj4aoUJBIxPiVIWI47/+qKd11LF5rbe+BvNvlshukbke9B0r+tRxvQ3acegZokUILD9Jhg/S7UZg9K+HT39WOLvT66KIM+AFj8zXjQnuDQ08R/2geErydicqVNWjYc8CwB1e4zl1Bnz9g7e5zvJmJyVZafDIufGSfqW3GsbuiV/O6+fr3igyiTbQBIiQxC0Si1ysQGDxc6tCSVZQIcmza60WsrWiWOJB+uxOGOFvx/dboZDS1DL7q2dPbiMx8v2ejOhOQIjLvBBR1tp3WRIDuKgP2Ejp5R3LO/UWPJxjGCBIrAjZeIO3e5E3vtgeJCQXbDAecScZ95WCLuH4KdFAQAq7+fPjfydNzV/kbvyYlFUoRv53wyGo5KQSJh8E8jKjJIu/OvruwfPncVAJCbGCbUxHMgefb7TIfODxxgaMfmF00RZ2Vbs9A+afEkEcqOk01oudaLxPBAfC/b9/MaGGmTlm0eZMM3JmIS6YMcAOaMV0vEnb9yDfs8SEAlUiImo8hgC2aPV3e1PZlwf3FC3L57IyXi2rp6sdW++yjKbrhm/uRk+JtNOHS+Baca24Z8vbbIscjHK3G4So8JxvSsaNgUNUv8UDYfrkNPvw1jE8MwIVmcxWXAkfF8vQcLV+evdGL3GbWspUiLy4BhQaem2aMScSLlHjEylojb4kGJOG3B8nvZvp8c2MhsdlyL9OTo//G6VhyvVytxlAlyUlCjzXE8mRvZbIo+ZolyLUdzq5WCRMPgn0aU653/KkmO/Gvy7XkLTtS1oqfv+iQ3DS1d+LpGnbDMFyBZmqsfTEpCgJ8Jx+tbUd0w+IRbO2ItQjIbV3mpEY5s+EMkT9tRbUjEJEDyRqMgi59eL3qolXxjxl7RFjkAx+TjQw8yimv/X4gWKALqFZsQix/+91Invh2iRNzHR+rR1WtDdlyIPnaJIjbUivtz1QWd9UNMuJtaxanE4Y52J9iTBFTGko2i0TKKHzp3FaebBv982XjgAhRFrSKTGhV8m1o4PNKig1GY5VmJOKeSjfliBYrGEnFDfb4YE6yKFigCjs/EL/99EU1DXIvU3ufscQmI8vFKHK7yUyOQEx+Krl4bPj5SP+hr9313GecuX0OoAJU4XN1qpSDRMPinEeWa7d+R6V+siedA0qODERkcgJ5+m9tScR9WqROWaZlRSIsWa8ICqDuoD9gn3INNWi539OirpaLtygDa0UzHkfjBaB8MC6ekCJG80ZU2afn4yOAl4owZe6cIkLHX1cwxcYgNteBSRw92VQ+cgOpiWzd22jOOi7jIEWzxR6mWUXyISct6PVBME+4UEuAIcDceuDBoRvFNVReEqcThzrw8NaN4zcUOVNlPy7lzuqkdVefsJRsFXFyOC7PiAXuCwvWDnNBRFAUbDop52krjaUZxY8lG0QJFwLlEXM3FgRMhf/PdFdRe7kSIRZzkwEZZsSEo8KBEXG+/4aSggIscJpPneUi0vvuDSUkIsohzUlCjVQraWa0mUJWZeDNXEkqEPeFfy7Ve2GwKjtozacqy828ymfR7/O6O/msfCtqKooi0YP7DqgsD3hPfIugdRaMF9mz4e85cHjB5moiJmFxNzYhCRkwwOnv6sXWQUw6iZex1FeBn1ksTDjZp+dAeKE4RNFAEHEHxPw/X41qP+/uK3zV34JvvrsBsEivxqNGssfGIGiI5p6Io+lUPUf9GQ63+ekA02LFi7bn7x8QhLsx6W9o23Mr1aivnB8wofqD2Cs42dyDY4qdnWhfNPHuJuDPNHTg4wIKOsWSjiIEioC7o3KeViBtk3NWemzcpCcEWMZIDu9J+R4Ndufry3xfR3N6DmBAL7hOgEoc7C6ekwGxSF2wGqhTU2dOnnwwQddzNiQ9DfmoE+mwKPvQgz5XIGPzTiNJ3/jt7cKa5A23dfQgMMGNMgpiTbHe0OqaHXT7QT9S34mRDGyx+Zr3Wr4juz41HeKA/6lu6sOfsJbevcSRiEjOoAJyTp20aYCVfS8SUlyruIodxJX+gwELEjL3uaJOQ7ScbcaXDfUZxR7ZpMScsgHOJuE+Pu1/Q0U603DM6DokRvl+y0R2Lv6NE3EALOkcviFeJwx1tQWdzlfuM4v2CVuJwNWucWm2lsXXgBR3tVEDJxESECFJFxpXTgs4Affd/TjWjub0b0SEW/YqLiMqHKJ97racf/xQ8UATUEnEWfzP+3diOoxeuP/kJOMapBVNShKnE4SoxIhD3jLYv6AyQn2Pr0QZ09PQjPToY0zLFqMThjqfXVkQnZk8kYeh3/q/16hnxJyZHCHlceiB5esZ/551/LYB8YGycXvVARIEBjnvi7oLiU41tOHy+Bf5mE8oEu6PoapEeFF9wu5IvQ6AIOHZ+ByoRJ2rGXlfjksIxITkcvf2K2wRUx+pa1AU6f7NwiZiMzGbHtRV3kxabTdEnbeUCL+YAjr+9T483ouXa9QmotL4rWiUOV0WjYpAcEYjWrj5sP3F9AqqvTjejoVWsko3uGDOKuwuKu3r78ZH9b1eU+ugD0fruQCXitNNWD+Ynw+Iv7hypeJxjw2B3zfUbBtuONaC9uw+pUUGYnhnthRYOj4ggR4k4dwvpVzt79L9d0ecM5XrFCveVgv4h+ElBjbFS0PE69ws6MhB3dCEhOHb+e3HIvjMuy5F/jZa/4FRTm36Hut9wbEjkI/8a7fi0eg/cedKi3cW8PzcOsaFiHj3VlExMRFCAH866OZqplo0TMxGTq7ToYBSNilETULms5Iucsdedwe4rao99f3yC0At0gGNy5q5E3J6zl3Dh6jWECZiIydXElHDkJoShp8+mB4UaYyUOERPgGTkv6Jy77vl/GAJFq79492uNjNVWWl0yin92vBFtXX1IiQzCjFHilGx0pyh74AUdUUs2uhMY4IcHJ9sXdNwExcZA0SxYglVX5YZrka5Jn7ccUitxjEsKx3jBS1vPnaBWCrpw9Rr2nnWuFHTh6jU9sbXIJwUBNc+VtpjqSSUHUTH4pxEVab/z32dT9DI9+WlyJPvTxIcHIjE8EDYFek6DvWcuoaFVrY/+wFgx73kZTcuMVuvadvfh8xOOurb9NkU/DSBDoBhq9dfvlLom/tN2pYrHipex1x3tuOWGg86nHL4ROGOvO1qJuMPnW/BvQ4k4NVCUY0cRADJiQjA9032JOO0O/A/zk4Qq2eiOyWRCeYFjF8roi5OGShyjxR93tYn0l6eanTKKt3b1Ypu9ZKPIx6Y1eakRGB0fiu4+G/552DmjuLESh+iBop/ZpJfPdV3Q2XK4Dj19WslGsQNFwDEf+ORovVOJuPqWa/r1DhnmDPeOjkN8mBVXOnvxhUuJuPUCV+JwFRjghx/m2xPLusyNNh44D0UBZoyKFjKxtSvt97Xp4NCVgkTF4J9GVGCAWT++9u9GNfOrbDv/gGNBQzv6r+2G/yBP/F0ZQN2FWjBFXck3Hv3fc+YS6lvURY5ZAh89NVqkH82sR3efesqhr9+GTVqgKMEHOQCUTkxEsEU95XCg1lEibr3gGXtdxYRa8cBY+0q+IVjcWd2Eyx09iAuz4t7RYpVsHMhDbjKKd3T36SUbZem7C+wZxQ/UOmcU1ytxCFiy0Z1RcaEoyIhSF1mrHOPux4fVko058aFSVM5RF3QcfVfT2NqF/zmlVuIQsWSjO9r7+PJUM5raHAs6shyb1kxOi8QorXzuEUceko0H1QpI0zOjkR4jfqColoizL0YaguLTTW04ZL8OOX+y2CcFNdpijbFSkFqyUZ4NIMDzSkEiY/BPI8pkMiHScO8yPNAfmRIM+K60BY1D56/imiGLuuhHoIy0D7id1Rdx2Z48TfuwK5Pg6KmmKDsGieGBaLnWq2f2//KUWvpF5Iy9rkKs/iidqK7ka0GTDBl73TEmoNJKxGl9V9SSje6UTkpEYIDZqUTcJ0cb0NnTj6zYENyVLm4iJqP48EDMtC/YaCd0mtu7sbNa/XuV4SSHRk/Oud9xQke2QBFwZBT/9n+v4LtmNaP4poMXYFOAgowoZMWGeLmFwyM7LhRT0iPVq4H2zP41F9txsNZesnGKHIGiU4k4e39VFEWq3XCN9lm542QTLtlLxGlJKmW4DqkpyIhCpkuloAO1V3G2uQNBAX56yVnRBfg5EsvKevRfjhkP+TRj0qX8tEhpJitG+Yakf5+faNST2RRIMtkG1DIok1LUMij/PFyHju4+wyKHPB/kfmYTFugr+eoHuDZhmT9Z3Iy97mjHpz86VI+u3n5sOyZHxl5XriXiLnf06Ec0ZdmtAICwwACUuCSg0o4Xl9+VItXY+1BBGgBgw4ELeo6VPpuC/NQIjBa0Eoc7P8hLgtXfjOrGNhy90CpFyUZ3EsID9asaWuk04yKHTFxLxGkLWDNHxyI+TMxKHO4sukstn7vv7GWcu9yJqnNXceZiBwIDzCidJP6VMs2YhDDkGUrE9dsUbDwo3yKHu0pB2v+WTkpEqKCVONzRfm+fnxi4UpDI5JnFks+KNCTSypPgiKI7k+zvq/ZyJ9756iwA9Wiq6HcUXWlB8YaDF7DVvqOYGROMu9IjvduwYaad2NhxsglnLrbj8+P2HUWJPsgBYEZWjJ7LYduxBqdqBjIFiq4l4jZXXUBvv4JJKRHITZQnUAQcQfGWQ/WoudiOPWfUko0LJQugXDOKa8fFZTqxAqiL53MMCzoylGwciJ6H5MAFe46Odlj9zXq1GVmU5anZ/E82tOHIhRZsOKAlqUzzcsuGV1JEEO7JUU/o/OPAeT1QLJmQiLBAsROsujIGxf863YzG1m5EBgfoV85koeWs+LrmEmoutmPLIXny5hiNSwrH+KSBKwWJjsG/izfffBOZmZkIDAxEYWEh9u3b5+0mCS8iyJEcTcb7/oA6QdOOJR6ovQrAESjLpCw/CWYTcLD2KtbsqgGg7vrLFCgC6kq+dsph+dqD0mTsdWU2m/Rsxf9v1xlpMva6YywR9+7eWvtj8r3PouwYJEWo11aeeb8KAPC9bHWRRybGjOL/d+tJHK9vhcVP7JKNA9ETUFVdkKZkoztzxicgLFDNKP5fm46oj01IFLpkozsRwQH4/vgEAMDKjUf0vDkil2wciLHaymZ73hzZFugAtepGgJ8Jx+pa8ZttJ/XHZLkOqUmNUisFAcAz71dJU4nDHXd5SGTB4N/ggw8+wIoVK1BZWYkDBw4gPz8fc+fORVPT9TV2yXPGnf/JaZHea8gIMyZeykuNQE58qBdbMzLiwxxHM083qYm2ZDp6aqQFwMfr1Vqvsu36a7QPuOP1rVJl7HVlLBF3qqldLdk4Wb6+62c26X33iL36iGzHpjXa+9LeZ/G4eCkqcbi6JycWCeFWXO3slaZkozuBAX74oX3x5ugFddyVcZEDcOyUau+zLD9Z+Eoc7sydoB4HP3/lGlq7+pAUEYjvZcuRYNUoKsSC4rHqgo72O5V1zqC9L23claEShztapaBD51twylApSAYM/g1ef/11LF26FEuWLMH48ePx1ltvITg4GG+//ba3myY0bdU+IdyKhHC5jikaGU81LJAwqNAYg/3CLDkDRUBdtfe3f6DJlLHXVUZMiNP9flkDRWOJOEDNAxAtYaAIOOfgCLH4oWSifIEioC4mZ8c5EsHJOtlWM4o73psMJRsH8pDhb1SWko3u3Ds6FnFhjkRwMu6GA0CQxQ/zDPf7F06RoxKHO8bf4ej4UExKkfOaa4m9UpBGppxPRrGhVtyfq57GWS9Z4j8G/3Y9PT3Yv38/Zs+erT9mNpsxe/Zs7N69+7rXd3d3o7W11emL3NMm2LIe+dfk2081+JlNKMuXM1AEgDkTEvSBX9ZAEVBLxGkDv0wZe93Rfo8yZex1Z8FkNaM4IHff1TKKA8C8SUkItsiTiMnIWCIuNtSCmWPkDBQB56BY5r57V7ojs7/MgaK/nxkL7AvKo2JDMEXiU5HG/irrIgegzhNi7PPd8gL5rkNqjJWCZKrE4Y427m46qCaWlYWcM4Kb0NzcjP7+fiQkJDg9npCQgJMnT173+tWrV2PVqlW3q3lCezA/GcfqWvAf947ydlNG1JS0SPzHPVnIiAl2WtGXTbDFH68umIhvvrui37mV1QsluQjwM2HF98d4uykjasGUFBw634KpGVFSZex1FR8eiMqyCfjuUgdmSZaIyVVl2QT895c1eHr2aG83ZUT9dEYGTje1Y874RKkqcbjKiQ/DL+bmorOnDwUZ8lTicGUymfCr+RPx92/PYelMuecM/3lfNhpau/HItDRpA0UAmJ4VjSfvz0ZooD+y4+S7DqkJ8DPj/yyciM+ON2FxYbq3mzOinv3+aFzr7cN/zsz2dlNG1KyxCUiPDsbdOTFo7+6TJv+ISdEKx97h6urqkJKSgq+//hpFRUX6488//zx27dqFvXv3Or2+u7sb3d3d+s+tra1IS0tDS0sLwsPlSgpGRERERER0J7HZFCFyGrS2tiIiIsKjOFTeLZ4bFBsbCz8/PzQ2Njo93tjYiMTE6+9LWq1WWK3y7u4SERERERHdqUQI/G+UvGfkbpDFYkFBQQG2b9+uP2az2bB9+3ankwBEREREREREouHOv8GKFStQUVGBqVOnYvr06XjjjTfQ0dGBJUuWeLtpRERERERERDeNwb/Bww8/jIsXL+Lll19GQ0MDJk+ejK1bt16XBJCIiIiIiIhIJEz4N0xuJNECERERERER0a26kTiUd/6JiIiIiIiIJMfgn4iIiIiIiEhyDP6JiIiIiIiIJMfgn4iIiIiIiEhyDP6JiIiIiIiIJMfgn4iIiIiIiEhyDP6JiIiIiIiIJMfgn4iIiIiIiEhyDP6JiIiIiIiIJMfgn4iIiIiIiEhyDP6JiIiIiIiIJMfgn4iIiIiIiEhyDP6JiIiIiIiIJOfv7QbIQlEUAEBra6uXW0JERERERER3Ai3+1OLRwTD4HyZtbW0AgLS0NC+3hIiIiIiIiO4kbW1tiIiIGPQ1JsWTJQIaks1mQ11dHcLCwmAymbzdnAG1trYiLS0N586dQ3h4uLebQ4JiP6LhwH5Ew4H9iG4V+xANB/YjGg43048URUFbWxuSk5NhNg9+q587/8PEbDYjNTXV283wWHh4OAcmumXsRzQc2I9oOLAf0a1iH6LhwH5Ew+FG+9FQO/4aJvwjIiIiIiIikhyDfyIiIiIiIiLJMfi/w1itVlRWVsJqtXq7KSQw9iMaDuxHNBzYj+hWsQ/RcGA/ouEw0v2ICf+IiIiIiIiIJMedfyIiIiIiIiLJMfgnIiIiIiIikhyDfyIiIiIiIiLJMfgnIiIiIiIikhyD/zvMm2++iczMTAQGBqKwsBD79u3zdpNIIK+88gpMJpPT19ixY73dLPJxX375JcrKypCcnAyTyYRNmzY5Pa8oCl5++WUkJSUhKCgIs2fPxqlTp7zTWPJJQ/WhRx999LqxqaSkxDuNJZ+1evVqTJs2DWFhYYiPj8eCBQtQXV3t9Jquri4sW7YMMTExCA0NRXl5ORobG73UYvJFnvSj+++//7ox6YknnvBSi8nXrFmzBnl5eQgPD0d4eDiKiorwySef6M+P5DjE4P8O8sEHH2DFihWorKzEgQMHkJ+fj7lz56KpqcnbTSOBTJgwAfX19frXv/71L283iXxcR0cH8vPz8eabb7p9/rXXXsPvf/97vPXWW9i7dy9CQkIwd+5cdHV13eaWkq8aqg8BQElJidPY9N57793GFpIIdu3ahWXLlmHPnj347LPP0Nvbizlz5qCjo0N/zbPPPostW7Zg3bp12LVrF+rq6rBo0SIvtpp8jSf9CACWLl3qNCa99tprXmox+ZrU1FT8+te/xv79+/Htt99i1qxZmD9/Po4dOwZghMchhe4Y06dPV5YtW6b/3N/fryQnJyurV6/2YqtIJJWVlUp+fr63m0ECA6Bs3LhR/9lmsymJiYnKb37zG/2xq1evKlarVXnvvfe80ELyda59SFEUpaKiQpk/f75X2kPiampqUgAou3btUhRFHXsCAgKUdevW6a85ceKEAkDZvXu3t5pJPs61HymKotx3333K008/7b1GkXCioqKUP//5zyM+DnHn/w7R09OD/fv3Y/bs2fpjZrMZs2fPxu7du73YMhLNqVOnkJycjFGjRmHx4sWora31dpNIYGfPnkVDQ4PT2BQREYHCwkKOTXRDdu7cifj4eOTm5uLnP/85Ll265O0mkY9raWkBAERHRwMA9u/fj97eXqfxaOzYsUhPT+d4RANy7Uead999F7GxsZg4cSJefPFFdHZ2eqN55OP6+/vx/vvvo6OjA0VFRSM+Dvnf8r+BhNDc3Iz+/n4kJCQ4PZ6QkICTJ096qVUkmsLCQvz1r39Fbm4u6uvrsWrVKtx77704evQowsLCvN08ElBDQwMAuB2btOeIhlJSUoJFixYhKysLNTU1WLlyJUpLS7F79274+fl5u3nkg2w2G5555hncfffdmDhxIgB1PLJYLIiMjHR6LccjGoi7fgQAP/nJT5CRkYHk5GQcPnwYL7zwAqqrq7FhwwYvtpZ8yZEjR1BUVISuri6EhoZi48aNGD9+PKqqqkZ0HGLwT0QeKy0t1b/Py8tDYWEhMjIy8Pe//x2PPfaYF1tGRHeyRx55RP9+0qRJyMvLQ3Z2Nnbu3Ini4mIvtox81bJly3D06FHmraFbMlA/evzxx/XvJ02ahKSkJBQXF6OmpgbZ2dm3u5nkg3Jzc1FVVYWWlhasX78eFRUV2LVr14j/d3ns/w4RGxsLPz+/6zJFNjY2IjEx0UutItFFRkZizJgxOH36tLebQoLSxh+OTTScRo0ahdjYWI5N5Nby5cvx0UcfYceOHUhNTdUfT0xMRE9PD65ever0eo5H5M5A/cidwsJCAOCYRDqLxYKcnBwUFBRg9erVyM/Px+9+97sRH4cY/N8hLBYLCgoKsH37dv0xm82G7du3o6ioyIstI5G1t7ejpqYGSUlJ3m4KCSorKwuJiYlOY1Nrayv27t3LsYlu2vnz53Hp0iWOTeREURQsX74cGzduxBdffIGsrCyn5wsKChAQEOA0HlVXV6O2tpbjEemG6kfuVFVVAQDHJBqQzWZDd3f3iI9DPPZ/B1mxYgUqKiowdepUTJ8+HW+88QY6OjqwZMkSbzeNBPHcc8+hrKwMGRkZqKurQ2VlJfz8/PDjH//Y200jH9be3u6023H27FlUVVUhOjoa6enpeOaZZ/Dqq69i9OjRyMrKwksvvYTk5GQsWLDAe40mnzJYH4qOjsaqVatQXl6OxMRE1NTU4Pnnn0dOTg7mzp3rxVaTr1m2bBnWrl2LDz/8EGFhYfr92YiICAQFBSEiIgKPPfYYVqxYgejoaISHh+Opp55CUVERZsyY4eXWk68Yqh/V1NRg7dq1mDdvHmJiYnD48GE8++yzmDlzJvLy8rzcevIFL774IkpLS5Geno62tjasXbsWO3fuxLZt20Z+HLrlegEklD/84Q9Kenq6YrFYlOnTpyt79uzxdpNIIA8//LCSlJSkWCwWJSUlRXn44YeV06dPe7tZ5ON27NihALjuq6KiQlEUtdzfSy+9pCQkJChWq1UpLi5Wqqurvdto8imD9aHOzk5lzpw5SlxcnBIQEKBkZGQoS5cuVRoaGrzdbPIx7voQAOWdd97RX3Pt2jXlySefVKKiopTg4GBl4cKFSn19vfcaTT5nqH5UW1urzJw5U4mOjlasVquSk5Oj/OIXv1BaWlq823DyGT/72c+UjIwMxWKxKHFxcUpxcbHy6aef6s+P5DhkUhRFufUlBCIiIiIiIiLyVbzzT0RERERERCQ5Bv9EREREREREkmPwT0RERERERCQ5Bv9EREREREREkmPwT0RERERERCQ5Bv9EREREREREkmPwT0RERERERCQ5Bv9EREREREREkmPwT0REREIymUzYtGmTt5tBREQkBAb/REREdMMeffRRmEym675KSkq83TQiIiJyw9/bDSAiIiIxlZSU4J133nF6zGq1eqk1RERENBju/BMREdFNsVqtSExMdPqKiooCoB7JX7NmDUpLSxEUFIRRo0Zh/fr1Tv/8kSNHMGvWLAQFBSEmJgaPP/442tvbnV7z9ttvY8KECbBarUhKSsLy5cudnm9ubsbChQsRHByM0aNHY/PmzSP7pomIiATF4J+IiIhGxEsvvYTy8nIcOnQIixcvxiOPPIITJ04AADo6OjB37lxERUXhm2++wbp16/D55587Bfdr1qzBsmXL8Pjjj+PIkSPYvHkzcnJynP4bq1atwo9+9CMcPnwY8+bNw+LFi3H58uXb+j6JiIhEYFIURfF2I4iIiEgsjz76KP72t78hMDDQ6fGVK1di5cqVMJlMeOKJJ7BmzRr9uRkzZuCuu+7CH//4R/zpT3/CCy+8gHPnziEkJAQA8PHHH6OsrAx1dXVISEhASkoKlixZgldffdVtG0wmE375y1/iV7/6FQB1QSE0NBSffPIJcw8QERG54J1/IiIiuikPPPCAU3APANHR0fr3RUVFTs8VFRWhqqoKAHDixAnk5+frgT8A3H333bDZbKiurobJZEJdXR2Ki4sHbUNeXp7+fUhICMLDw9HU1HSzb4mIiEhaDP6JiIjopoSEhFx3DH+4BAUFefS6gIAAp59NJhNsNttINImIiEhovPNPREREI2LPnj3X/Txu3DgAwLhx43Do0CF0dHToz3/11Vcwm83Izc1FWFgYMjMzsX379tvaZiIiIllx55+IiIhuSnd3NxoaGpwe8/f3R2xsLABg3bp1mDp1Ku655x68++672LdvH/7yl78AABYvXozKykpUVFTglVdewcWLF/HUU0/hpz/9KRISEgAAr7zyCp544gnEx8ejtLQUbW1t+Oqrr/DUU0/d3jdKREQkAQb/REREdFO2bt2KpKQkp8dyc3Nx8uRJAGom/vfffx9PPvkkkpKS8N5772H8+PEAgODgYGzbtg1PP/00pk2bhuDgYJSXl+P111/X/10VFRXo6urCb3/7Wzz33HOIjY3FQw89dPveIBERkUSY7Z+IiIiGnclkwsaNG7FgwQJvN4WIiIjAO/9ERERERERE0mPwT0RERERERCQ53vknIiKiYcdbhURERL6FO/9EREREREREkmPwT0RERERERCQ5Bv9EREREREREkmPwT0RERERERCQ5Bv9EREREREREkmPwT0RERERERCQ5Bv9EREREREREkmPwT0RERERERCS5/w8NI4ahm/962AAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fl = ForecastLSTM()\n", + "fl.fit_lstm(\n", + " df=df_train,\n", + " steps=steps,\n", + " single_output=single_output,\n", + " metrics=metrics,\n", + " **lstm_params,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 279ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m 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\u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 35ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 24ms/step\n", + "mse of validation dataset: 1930.683\n" + ] + } + ], + "source": [ + "df_fcst_val = fl.forecast_validation_dataset()\n", + "val_loss = calculate_metrics(df_fcst=df_fcst_val)[metrics[0]]\n", + "print(f\"{metrics[0]} of validation dataset: {val_loss.round(3)}\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/ai/LocationPredict.py b/ai/LocationPredict.py new file mode 100644 index 00000000..808c82af --- /dev/null +++ b/ai/LocationPredict.py @@ -0,0 +1,523 @@ +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +import tensorflow as tf +import json +import math +import folium +import tensorflow.keras.backend as K +from tensorflow import keras +from scipy.spatial import distance +from sklearn.metrics.pairwise import haversine_distances +from tensorflow.keras.layers import Dense +from tensorflow.keras.layers import LSTM +from tensorflow.keras.layers import Dropout +from tensorflow.keras.layers import Activation +from tensorflow.keras.models import Sequential +from tensorflow.keras.optimizers import Adam +from tensorflow.keras.losses import MSE +from tensorflow.keras.callbacks import EarlyStopping +from tensorflow.keras.callbacks import ModelCheckpoint +from tensorflow.keras.callbacks import ReduceLROnPlateau +from tensorflow.keras.utils import to_categorical +from pyclustering.cluster.gmeans import gmeans +from collections import Counter + +class ForecastLSTMClassification: + + def __init__(self, + class_num: int, + random_seed: int = 1234): + self.random_seed = random_seed + self.class_num = class_num + + def reshape_dataset(self, + df: pd.DataFrame) -> np.array: + dataset = df.values.reshape(df.shape) + return dataset + + def split_sequences(self, + dataset: np.array, + seq_len: int, + steps: int, + single_output: bool) -> tuple: + + # feature와 y 각각 sequential dataset을 반환할 리스트 + X, y = list(), list() + # sequence length와 step에 따라 생성 + for i, _ in enumerate(dataset): + idx_in = i + seq_len + idx_out = idx_in + steps + if idx_out > len(dataset): + break + seq_x = dataset[i:idx_in, :-1] + if single_output: + seq_y = dataset[idx_out -1 : idx_out, -1] + else: + seq_y = dataset[idx_in:idx_out, -1] + + X.append(seq_x) + y.append(seq_y) + X = np.array(X) + y = np.array(y) + print(X.shape) + print(y.shape) + return X, y + + def split_sequences(self, + dataset: np.array, + seq_len: int, + steps: int, + single_output: bool) -> tuple: + X, y = list(), list() + for i in range(len(dataset) - seq_len - steps + 1): + idx_in = i + seq_len + idx_out = idx_in + steps # 모델의 출력 길이에 맞춘 고정값 설정 + + if idx_out > len(dataset): + break + + seq_x = dataset[i:idx_in, :-1] + seq_y = dataset[idx_in:idx_out, -1] + + X.append(seq_x) + y.append(seq_y) + + X = np.array(X) + y = np.array(y) + print(X.shape) + print(y.shape) + return X, y + + def split_train_valid_dataset(self, + df: pd.DataFrame, + seq_len: int, + steps: int, + single_output: bool, + validation_split: float = 0.2, + verbose: bool = True) -> tuple: + # df -> np.array + dataset = self.reshape_dataset(df=df) + + # feature, y를 sequential dataset으로 분리 + X, y = self.split_sequences( + dataset=dataset, + seq_len=seq_len, + steps=steps, + single_output=single_output + ) + + # X, y에서 validation dataset 분리 + dataset_size = len(X) + train_size = int(dataset_size * (1-validation_split)) + X_train, y_train = X[:train_size, :], y[:train_size, :] + X_val, y_val = X[train_size:, :], y[train_size:, :] + + # 원핫인코딩 + if not single_output and self.class_num > 1: + y_train = to_categorical(y_train, num_classes=self.class_num) + y_val = to_categorical(y_val, num_classes=self.class_num) + + if verbose: + print(f" >>> X_train: {X_train.shape}") + print(f" >>> y_train: {y_train.shape}") + print(f" >>> X_val: {X_val.shape}") + print(f" >>> y_val: {y_val.shape}") + return X_train, y_train, X_val, y_val + + def build_and_compile_lstm_model(self, + seq_len: int, + n_features: int, + lstm_units: list, + learning_rate: float, + dropout: float, + steps: int, + metrics: list, + single_output: bool, + last_lstm_return_sequences: bool = False, + dense_units: list = None, + activation: str = None): + tf.random.set_seed(self.random_seed) + + model = Sequential() + + # LSTM 레이어 추가 + model.add(LSTM(64, input_shape=(seq_len, n_features), return_sequences=True)) + + # Dense 레이어 추가하여 출력 형태를 변경 + model.add(Dense(self.class_num)) # 출력 레이어의 뉴런 개수를 2로 설정 + + optimizer = Adam(learning_rate=learning_rate) + model.compile(optimizer=optimizer, loss='categorical_crossentropy', metrics=metrics) + return model + + def fit_lstm(self, + df: pd.DataFrame, + steps: int, + lstm_units: list, + activation: str, + dropout: float = 0, + seq_len: int = 10, + single_output: bool = False, + epochs: int = 50, + batch_size: int = None, + steps_per_epoch: int = None, + learning_rate: float = 0.001, + patience: int = 10, + validation_split: float = 0.2, + last_lstm_return_sequences: bool = False, + dense_units: list = None, + metrics: list = ["mse"], + check_point_path: str = None, + verbose: bool = False, + plot: bool = True): + + np.random.seed(self.random_seed) + tf.random.set_seed(self.random_seed) + ( + self.X_train, + self.y_train, + self.X_val, + self.y_val + ) = self.split_train_valid_dataset( + df=df, + seq_len=seq_len, + steps=steps, + validation_split=validation_split, + single_output=single_output, + verbose=verbose + ) + + n_features = df.shape[1] - 1 + self.model = self.build_and_compile_lstm_model( + seq_len=seq_len, + n_features=n_features, + lstm_units=lstm_units, + activation=activation, + learning_rate=learning_rate, + dropout=dropout, + steps=steps, + last_lstm_return_sequences=last_lstm_return_sequences, + dense_units=dense_units, + metrics=metrics, + single_output=single_output, + ) + + # best model save + if check_point_path is not None: + checkpoint_path = f"checkpoint/lstm_{check_point_path}.h5" + checkpoint = ModelCheckpoint( + filepath=checkpoint_path, + save_weights_only=False, + save_best_only=True, + monitor="val_loss", + verbose=verbose, + ) + rlr = ReduceLROnPlateau( + monitor="val_loss", factor=0.5, patience=patience, verbose=verbose + ) + callbacks = [checkpoint, EarlyStopping(patience=patience), rlr] + else: + rlr = ReduceLROnPlateau( + monitor="val_loss", factor=0.5, patience=patience, verbose=verbose + ) + callbacks = [EarlyStopping(patience=patience), rlr] + + self.history = self.model.fit( + self.X_train, + self.y_train, + batch_size=batch_size, + steps_per_epoch=steps_per_epoch, + validation_data=(self.X_val, self.y_val), + epochs=epochs, + verbose=verbose, + callbacks=callbacks, + shuffle=False, + ) + + if check_point_path is not None: + self.model.load_weights(f"checkpoint/lstm_{check_point_path}.h5") + + return self.model + + def forecast_validation_dataset(self) -> pd.DataFrame: + y_pred_list, y_val_list = list(), list() + + for x_val, y_val in zip(self.X_val, self.y_val): + x_val = np.expand_dims( + x_val, axis=0 + ) # (seq_len, n_features) -> (1, seq_len, n_features) + y_pred = self.model.predict(x_val)[0] + y_pred_list.extend(y_pred.tolist()) + y_val_list.extend(y_val.tolist()) + return pd.DataFrame({"y": y_val_list, "yhat": y_pred_list}) + + def combine_windows(self, predicted_values, original_length, seq_len): + # 초기화 + prediction = np.zeros(original_length) + counts = np.zeros(original_length) + + num_predictions = predicted_values.shape[0] + + for i in range(num_predictions): + start_index = i + end_index = i + seq_len + prediction[start_index:end_index] += predicted_values[i] + counts[start_index:end_index] += 1 + + # 중첩된 부분을 평균화 + counts[counts == 0] = 1 # division by zero 방지 + prediction /= counts + + return prediction + + def pred(self, + df: pd.DataFrame, + steps: int, + num_classes: int, # 클래스 수 추가 + seq_len: int = 10, + single_output: bool = False): + + np.random.seed(self.random_seed) + tf.random.set_seed(self.random_seed) + + # 데이터셋 변환 + dataset = self.reshape_dataset(df=df) + + # feature, y를 sequential dataset으로 분리 + X_test, y_test = self.split_sequences( + dataset=dataset, + seq_len=seq_len, + steps=steps, + single_output=single_output + ) + + # 원-핫 인코딩 처리 + y_test_encoded = to_categorical(y_test, num_classes=num_classes) + + # 예측 수행 + y_pred = self.model.predict(X_test) + y_pred = np.array(y_pred) + + # 성능 평가 + loss, accuracy = self.model.evaluate(X_test, y_test_encoded) + + print(f"y_test: {y_test}") + print(f"loss: {loss}") + print(f"acc: {accuracy}") + + y_pred = np.argmax(y_pred, axis=-1) + + y_pred = self.combine_windows(y_pred, len(df), seq_len) + + return y_pred + +# 전처리 +class Preprocessing: + def __init__(self, csv_path) -> None: + self.df = pd.DataFrame() + self.fileReader(csv_path) + + def convert_day_to_number(self, day): + weekdays = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'] + return weekdays.index(day) + + def custom_parser(self, date_string): + return pd.to_datetime(date_string, format='%Y-%m-%d') # 날짜 형식에 맞게 지정 + + def fileReader(self, csv_path): + data = pd.read_csv(csv_path, parse_dates=['date'], date_parser=self.custom_parser) + index = list(range(len(data))) + data.index = index + self.df = data[['date', 'time', 'latitude', 'longitude', 'user_status']] + + self.df['date'] = pd.to_datetime(self.df['date'], format='%Y-%m-%d') + self.df['time'] = pd.to_datetime(self.df['time'], format='%H:%M:%S') + + self.df['hour_block'] = 'f' + ((self.df['time'].dt.hour) // 4 * 4).astype(str).str.zfill(2) + 't' + ((self.df['time'].dt.hour + 4) // 4 * 4).astype(str).str.zfill(2) + self.df['day_of_week'] = self.df['date'].dt.day_name() + + new_data = [] + for item in self.df['hour_block']: + num = int(item[1:-3]) + new_data.append(num) + + self.df['hour_block'] = new_data + self.df['day_of_week'] = self.df['day_of_week'].apply(self.convert_day_to_number) + self.df = self.df.drop(['date', 'time'], axis=1) + + def gmeans_fit(self): + # 두 열을 선택하고 넘파이 배열로 변환 + selected_columns = ['latitude', 'longitude'] + result_list = self.df[selected_columns].values.tolist() + + gmeans_instance = gmeans(result_list).process() + + centers = gmeans_instance.get_centers() + clusters = gmeans_instance.get_clusters() + + return clusters, centers + + def gmeans_func(self): + clusters, centers = self.gmeans_fit() + + data_df = pd.DataFrame({"clusters": clusters, "centers": centers}) + + for k in range(len(data_df.clusters)): + if len(data_df.clusters[k]) < 10: + data_df.drop(index=k, inplace=True) + data_df = data_df.sort_index(axis=1) + data_df = data_df.reset_index(drop=True) + + self.df['cluster_no'] = -1 + for i in range(len(data_df)): + for j in range(len(data_df['clusters'].iloc[i])): + k = data_df['clusters'].iloc[i][j] + self.df['cluster_no'].iloc[k] = i + + data_df['hour_block'] = 0 + data_df['day_of_week'] = 0 + for i in range(max(self.df['cluster_no']) + 1): + counter = Counter(self.df[self.df['cluster_no'] == i]['hour_block']) + most_hour_value = counter.most_common(1)[0][0] + + counter = Counter(self.df[self.df['cluster_no'] == i]['day_of_week']) + most_day_value = counter.most_common(1)[0][0] + + data_df['hour_block'].iloc[i] = most_hour_value + data_df['day_of_week'].iloc[i] = most_day_value + + data_df[['latitude', 'longitude']] = data_df['centers'].apply(lambda x: pd.Series(x)) + data_df.drop('centers', axis=1, inplace=True) + data_df = data_df[['latitude', 'longitude', 'clusters', 'hour_block', 'day_of_week']] + + meaningful_df = data_df[['latitude', 'longitude', 'hour_block', 'day_of_week']] + meaningful_df[['latitude', 'longitude']] = meaningful_df[['latitude', 'longitude']].round(4) + meaningful_df = meaningful_df.drop_duplicates(['latitude', 'longitude'], keep='first', ignore_index=True) + + return meaningful_df + + def haversine(self, lat1, lon1, lat2, lon2): + R = 6371000.0 # 지구 반지름 (미터) + lat1, lon1, lat2, lon2 = map(math.radians, [lat1, lon1, lat2, lon2]) + dlat = lat2 - lat1 + dlon = lon2 - lon1 + + a = math.sin(dlat/2)**2 + math.cos(lat1) * math.cos(lat2) * math.sin(dlon/2)**2 + c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a)) + distance = R * c + return distance + + def calculate_bearing(self, lat1, lon1, lat2, lon2): + lat1, lon1, lat2, lon2 = map(math.radians, [lat1, lon1, lat2, lon2]) + dlon = lon2 - lon1 + x = math.sin(dlon) * math.cos(lat2) + y = math.cos(lat1) * math.sin(lat2) - math.sin(lat1) * math.cos(lat2) * math.cos(dlon) + initial_bearing = math.atan2(x, y) + initial_bearing = math.degrees(initial_bearing) + compass_bearing = (initial_bearing + 360) % 360 + return compass_bearing + + def add_movement_features(self): + self.df['next_lat'] = self.df['latitude'].shift(1) + self.df['next_lon'] = self.df['longitude'].shift(1) + + self.df['distance'] = self.df.apply(lambda row: self.haversine(row['latitude'], row['longitude'], row['next_lat'], row['next_lon']) if pd.notna(row['next_lat']) else None, axis=1) + self.df['bearing'] = self.df.apply(lambda row: self.calculate_bearing(row['latitude'], row['longitude'], row['next_lat'], row['next_lon']) if pd.notna(row['next_lat']) else None, axis=1) + + self.df = self.df.drop(['next_lat', 'next_lon'], axis=1) + self.df = self.df.fillna(0) + + def map_to_meaningful_places(self, meaningful_df): + y, m_hour_block, m_day_of_week = [], [], [] + for i in range(len(self.df)): + current_location = (self.df['latitude'].iloc[i], self.df['longitude'].iloc[i]) + min_distance = float('inf') + + for j in range(len(meaningful_df)): + place_location = (meaningful_df['latitude'].iloc[j], meaningful_df['longitude'].iloc[j]) + dist = distance.euclidean(current_location, place_location) + if dist < min_distance: + min_distance = dist + min_distance_index = j + + y.append(min_distance_index) + m_hour_block.append(meaningful_df['hour_block'].iloc[min_distance_index]) + m_day_of_week.append(meaningful_df['day_of_week'].iloc[min_distance_index]) + + self.df['m_hour_block'] = m_hour_block + self.df['m_day_of_week'] = m_day_of_week + self.df['y'] = y + + def calculate_additional_features(self): + self.df['speed'] = self.df['distance'] / (self.df['hour_block'] / 4 + 1) + self.df['lat_rate_change'] = self.df['latitude'].diff() / self.df['hour_block'].diff().replace(0, 1) + self.df['lon_rate_change'] = self.df['longitude'].diff() / self.df['hour_block'].diff().replace(0, 1) + + daily_variability = self.df.groupby('day_of_week')[['latitude', 'longitude']].std().add_suffix('_daily_var') + hourly_variability = self.df.groupby('hour_block')[['latitude', 'longitude']].std().add_suffix('_hourly_var') + self.df = self.df.join(daily_variability, on='day_of_week') + self.df = self.df.join(hourly_variability, on='hour_block') + + self.df['max_travel_range'] = self.df.groupby('hour_block')['distance'].transform('max') + + self.df['movement_direction'] = self.df['bearing'].apply(lambda x: 0 if x < 180 else 1) + self.df = self.df.fillna(0) + + + def run_analysis(self): + meaningful_df = self.gmeans_func() + self.add_movement_features() + self.map_to_meaningful_places(meaningful_df) + self.calculate_additional_features() + + y = self.df['y'] + self.df = self.df.drop(['y'], axis=1) + self.df['y'] = y + + return self.df + +if __name__ =='__main__': + + # 전처리 + csv_path = r"C:\Users\sk002\Downloads\138362.csv" + pr = Preprocessing(csv_path) + df = pr.run_analysis() + + test_idx = int(len(df) * 0.8) + df_train = df.iloc[:test_idx] + df_test = df.iloc[test_idx:] + + # 파라미터 설정 + seq_len = 150 # 150개의 데이터를 feature로 사용 + steps = 150 # 향후 150개 뒤의 y를 예측 + single_output = False + metrics = ["accuracy"] # 모델 성능 지표 + lstm_params = { + "seq_len": seq_len, + "epochs": 100, # epochs 반복 횟수 + "patience": 30, # early stopping 조건 + "steps_per_epoch": 5, # 1 epochs 시 dataset을 5개로 분할하여 학습 + "learning_rate": 0.03, + "lstm_units": [64, 32], # Dense Layer: 2, Unit: (64, 32) + "activation": "softmax", + "dropout": 0, + "validation_split": 0.3, # 검증 데이터셋 30% + } + fl = ForecastLSTMClassification(class_num=len(df['y'].unique())) + model = fl.fit_lstm( + df=df_train, + steps=steps, + single_output=single_output, + verbose=True, + metrics=metrics, + **lstm_params, + ) + + y_pred = fl.pred(df=df_test, + steps=steps, + num_classes=len(df['y'].unique()), + seq_len=seq_len, + single_output=single_output) + + print(y_pred) \ No newline at end of file diff --git a/ai/Movement_status_classification.ipynb b/ai/Movement_status_classification.ipynb new file mode 100644 index 00000000..1807a5ca --- /dev/null +++ b/ai/Movement_status_classification.ipynb @@ -0,0 +1,12439 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.3.2\n" + ] + } + ], + "source": [ + "import sklearn\n", + "print(sklearn.__version__)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.metrics import accuracy_score\n", + "from sklearn.model_selection import GridSearchCV" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

새 모델

" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# 체류 상태\n", + "f = open(r\"C:\\Users\\sk002\\OneDrive\\바탕 화면\\새 폴더\\stop.txt\")\n", + "stopData = f.read()\n", + "f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# 도보 상태\n", + "f = open(r\"C:\\Users\\sk002\\OneDrive\\바탕 화면\\새 폴더\\walk.txt\")\n", + "walkData = f.read()\n", + "f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# 차량 상태\n", + "f = open(r\"C:\\Users\\sk002\\OneDrive\\바탕 화면\\새 폴더\\car.txt\")\n", + "carData = f.read()\n", + "f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# 지하철 상태\n", + "f = open(r\"C:\\Users\\sk002\\OneDrive\\바탕 화면\\새 폴더\\subway.txt\")\n", + "subwayData = f.read()\n", + "f.close()" + ] + }, + { + "cell_type": "code", + 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"outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "10701\n", + "2711\n", + "1002\n", + "2703\n" + ] + } + ], + "source": [ + "print(len(stopData))\n", + "print(len(walkData))\n", + "print(len(carData))\n", + "print(len(subwayData))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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30.22432712-0.399003189.7875420.0-1.527162E-4-7.63581E-564.556253.1875002-42.18752024-03-15 15:09:251
40.21505493-0.396311259.7878413.8179048E-41.527162E-47.63581E-564.52.98125-42.8812522024-03-15 15:10:251
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30.22432712-0.399003189.7875420.0-1.527162E-4-7.63581E-564.556253.1875002-42.18751
40.21505493-0.396311259.7878413.8179048E-41.527162E-47.63581E-564.52.98125-42.8812521
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" + ], + "text/plain": [ + " x1 y1 z1 x2 y2 \n", + "0 0.33140594 0.0634098 9.856036 0.0 0.0011453715 \\\n", + "1 -0.19980069 5.293821 8.162217 0.0537561 -0.12087487 \n", + "2 0.2428715 -0.42622152 9.800404 -9.926553E-4 5.345067E-4 \n", + "3 0.22432712 -0.39900318 9.787542 0.0 -1.527162E-4 \n", + "4 0.21505493 -0.39631125 9.787841 3.8179048E-4 1.527162E-4 \n", + "... ... ... ... ... ... \n", + "16321 -0.8488538 6.047859 6.8985076 -0.0044287695 -0.014813471 \n", + "16322 -0.79800636 6.1357956 7.9351983 0.037568185 0.0067958706 \n", + "16323 -1.1694921 5.852246 8.236095 -0.023747368 -0.010613776 \n", + "16324 -1.329213 6.3254266 8.07458 -0.031688612 0.010002911 \n", + "16325 -0.8428718 5.959923 7.811968 -0.047571093 -0.0820086 \n", + "\n", + " z2 x3 y3 z3 label \n", + "0 -1.527162E-4 15.0375 31.81875 -36.018753 1 \n", + "1 0.028863361 61.8375 -6.1125 -41.625 1 \n", + "2 -7.63581E-5 64.8375 3.5812502 -42.24375 1 \n", + "3 -7.63581E-5 64.55625 3.1875002 -42.1875 1 \n", + "4 7.63581E-5 64.5 2.98125 -42.881252 1 \n", + "... ... ... ... ... ... \n", + "16321 0.018555017 25.612501 -79.200005 -16.087502 4 \n", + "16322 -0.011911863 25.968752 -80.381256 -16.181252 4 \n", + "16323 0.005345067 26.8875 -80.7375 -12.95625 4 \n", + "16324 0.009392046 26.643751 -79.70625 -12.13125 4 \n", + "16325 0.06330086 25.275002 -78.3375 -12.1125 4 \n", + "\n", + "[16326 rows x 10 columns]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_combined = df_combined.drop_duplicates(ignore_index=True)\n", + "\n", + "df_combined" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "X = df_combined.drop(['label'], axis=1) # 'label' 컬럼 제외한 나머지를 특성으로 사용\n", + "y = df_combined['label'] # 'label' 컬럼을 타겟으로 사용\n", + "\n", + "# train : valid : test = 0.72 : 0.08 : 0.2 = 326 : 37 : 91\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)\n", + "\n", + "# train : test = 0.8 : 0.2\n", + "# X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.2, random_state=0)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best Hyperparameters: {'max_depth': 20, 'n_estimators': 100}\n", + "Accuracy: 0.95\n" + ] + } + ], + "source": [ + "from sklearn.ensemble import RandomForestClassifier\n", + "\n", + "# 모델 생성 및 학습\n", + "rf_model = RandomForestClassifier(random_state=0)\n", + "\n", + "# 탐색할 하이퍼파라미터 그리드 설정\n", + "param_grid = {\n", + " 'n_estimators': [50, 100, 150, 200],\n", + " 'max_depth': [None, 10, 20, 30]\n", + "}\n", + "\n", + "# GridSearchCV 객체 생성\n", + "grid_search = GridSearchCV(estimator=rf_model, param_grid=param_grid, cv=3, scoring='accuracy')\n", + "\n", + "# 그리드 서치 수행 (학습 데이터 사용)\n", + "grid_search.fit(X_train, y_train)\n", + "\n", + "# 최적의 하이퍼파라미터 출력\n", + "print(\"Best Hyperparameters:\", grid_search.best_params_)\n", + "\n", + "# 테스트 데이터로 예측 수행\n", + "y_pred = grid_search.predict(X_test)\n", + "\n", + "# 정확도 계산\n", + "accuracy = accuracy_score(y_test, y_pred)\n", + "print(f\"Accuracy: {accuracy:.2f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "# 모델 저장\n", + "import pickle\n", + "\n", + "with open('random_forest_model_mk2.pkl', 'wb') as model_file:\n", + " pickle.dump(grid_search, model_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# 데이터 X와 레이블 y를 사용한다고 가정\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "X_tsne = tsne.fit_transform(X)\n", + "\n", + "sns.set_palette(\"deep\")\n", + "sns.scatterplot(x = X_tsne[:, 0], y = X_tsne[:, 1], hue=y)\n", + "plt.legend(title='Label')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

기존 모델

" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "# 체류 상태\n", + "f = open(\"C:\\\\Users\\\\sk002\\\\OneDrive\\\\바탕 화면\\\\학교\\\\Yoodori\\\\SensorData1.txt\")\n", + "\n", + "data1 = f.read()\n", + "\n", + "f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# 도보 상태\n", + "f = open(\"C:\\\\Users\\\\sk002\\\\OneDrive\\\\바탕 화면\\\\학교\\\\Yoodori\\\\SensorData2.txt\")\n", + "\n", + "data2 = f.read()\n", + "\n", + "f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# 차량 상태\n", + "f = open(\"C:\\\\Users\\\\sk002\\\\OneDrive\\\\바탕 화면\\\\학교\\\\Yoodori\\\\SensorData3.txt\")\n", + "\n", + "data3 = f.read()\n", + "\n", + "f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# 지하철 이용 상태\n", + "f = open(\"C:\\\\Users\\\\sk002\\\\OneDrive\\\\바탕 화면\\\\학교\\\\Yoodori\\\\SensorData4.txt\")\n", + "\n", + "data4 = f.read()\n", + "\n", + "f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "str" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(data1)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['2024-01-25 16:33:57,0.04,0.10,9.81,-0.00,0.00,0.00,0.24,-8.12,-34.33',\n", + " '2024-01-25 16:33:58,0.04,0.10,9.81,0.00,0.00,0.00,0.86,-8.03,-34.01',\n", + " '2024-01-25 16:33:59,0.04,0.10,9.81,-0.00,-0.00,0.00,-0.08,-8.19,-34.31',\n", + " '2024-01-25 16:34:00,0.03,0.10,9.81,-0.00,-0.00,0.00,0.38,-7.93,-34.18',\n", + " '2024-01-25 16:34:01,0.03,0.10,9.81,-0.00,0.00,0.00,0.83,-7.56,-33.79',\n", + " '2024-01-25 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"print(len(data3))\n", + "print(len(data4))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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시간x1y1z1x2y2z2x3y3z3label
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시간x1y1z1x2y2z2x3y3z3label
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시간x1y1z1x2y2z2x3y3z3label
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....................................
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시간x1y1z1x2y2z2x3y3z3label
02024-01-26 15:13:272.016.087.03-0.070.12-0.0624.84-119.94-41.794
12024-01-26 15:13:280.054.478.690.470.200.2930.06-113.44-60.944
22024-01-26 15:13:291.065.138.55-0.090.200.2232.68-106.37-57.584
32024-01-26 15:13:305.272.207.07-0.180.26-0.07-34.76-88.39-51.534
42024-01-26 15:13:315.400.148.92-0.100.130.01-97.44-54.49-61.134
....................................
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시간x1y1z1x2y2z2x3y3z3label
02024-01-25 16:33:570.040.109.81-0.000.000.000.24-8.12-34.331
12024-01-25 16:33:580.040.109.810.000.000.000.86-8.03-34.011
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32024-01-25 16:34:000.030.109.81-0.00-0.000.000.38-7.93-34.181
42024-01-25 16:34:010.030.109.81-0.000.000.000.83-7.56-33.791
....................................
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23600 rows × 11 columns

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" + ], + "text/plain": [ + " 시간 x1 y1 z1 x2 y2 z2 x3 \n", + "0 2024-01-25 16:33:57 0.04 0.10 9.81 -0.00 0.00 0.00 0.24 \\\n", + "1 2024-01-25 16:33:58 0.04 0.10 9.81 0.00 0.00 0.00 0.86 \n", + "2 2024-01-25 16:33:59 0.04 0.10 9.81 -0.00 -0.00 0.00 -0.08 \n", + "3 2024-01-25 16:34:00 0.03 0.10 9.81 -0.00 -0.00 0.00 0.38 \n", + "4 2024-01-25 16:34:01 0.03 0.10 9.81 -0.00 0.00 0.00 0.83 \n", + "... ... ... ... ... ... ... ... ... \n", + "23595 2024-02-06 13:23:34 -2.23 3.40 8.81 -0.03 0.05 -0.04 58.54 \n", + "23596 2024-02-06 13:23:35 -1.89 3.09 9.28 -0.12 -0.05 -0.01 59.21 \n", + "23597 2024-02-06 13:23:36 -1.98 2.29 9.29 -0.04 -0.01 -0.01 59.01 \n", + "23598 2024-02-06 13:23:37 -1.91 2.12 9.29 0.02 -0.01 0.02 58.71 \n", + "23599 2024-02-06 13:23:38 -1.97 2.80 8.93 0.09 0.07 -0.02 59.04 \n", + "\n", + " y3 z3 label \n", + "0 -8.12 -34.33 1 \n", + "1 -8.03 -34.01 1 \n", + "2 -8.19 -34.31 1 \n", + "3 -7.93 -34.18 1 \n", + "4 -7.56 -33.79 1 \n", + "... ... ... ... \n", + "23595 17.74 -9.69 4 \n", + "23596 16.84 -10.35 4 \n", + "23597 17.94 -9.06 4 \n", + "23598 19.76 -7.29 4 \n", + "23599 19.11 -8.12 4 \n", + "\n", + "[23600 rows x 11 columns]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 각 df 병합\n", + "df_combined = pd.concat([df1, df2, df3, df4], ignore_index=True)\n", + "\n", + "df_combined" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "df_combined = df_combined.drop(['시간'], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_combined" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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x1y1z1x2y2z2x3y3z3label
00.040.109.81-0.000.000.000.24-8.12-34.331
10.040.109.810.000.000.000.86-8.03-34.011
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30.030.109.81-0.00-0.000.000.38-7.93-34.181
40.030.109.81-0.000.000.000.83-7.56-33.791
.................................
6821-2.233.408.81-0.030.05-0.0458.5417.74-9.694
6822-1.893.099.28-0.12-0.05-0.0159.2116.84-10.354
6823-1.982.299.29-0.04-0.01-0.0159.0117.94-9.064
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"cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_combined.to_csv('C:\\\\Users\\\\sk002\\\\OneDrive\\\\바탕 화면\\\\학교\\\\Yoodori\\\\data.csv', index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_acceleration = df_combined[['x1', 'x2', 'x3', 'label']]\n", + "\n", + "df_acceleration" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_acceleration = df_acceleration.drop_duplicates()\n", + "\n", + "len(df_acceleration)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.metrics import accuracy_score" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'df_acceleration' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[18], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m X \u001b[38;5;241m=\u001b[39m \u001b[43mdf_acceleration\u001b[49m\u001b[38;5;241m.\u001b[39mdrop([\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlabel\u001b[39m\u001b[38;5;124m'\u001b[39m], axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m 2\u001b[0m y \u001b[38;5;241m=\u001b[39m df_acceleration[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlabel\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m 4\u001b[0m \u001b[38;5;66;03m# train : valid : test = 0.72 : 0.08 : 0.2\u001b[39;00m\n", + "\u001b[1;31mNameError\u001b[0m: name 'df_acceleration' is not defined" + ] + } + ], + "source": [ + "X = df_acceleration.drop(['label'], axis=1)\n", + "y = df_acceleration['label']\n", + "\n", + "# train : valid : test = 0.72 : 0.08 : 0.2\n", + "X, X_test, y, y_test = train_test_split(X, y, test_size=0.2, random_state=0)\n", + "X_train, X_valid, y_train, y_valid = train_test_split(X, y, test_size=0.1, random_state=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# DecisionTreeClassifier 모델 생성 및 학습\n", + "model = DecisionTreeClassifier(random_state=42)\n", + "model.fit(X_train, y_train)\n", + "\n", + "# 테스트 데이터에 대한 예측\n", + "predictions = model.predict(X_test)\n", + "predictions" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "val_pred = model.predict(X_valid)\n", + "val_acc = accuracy_score(y_valid, val_pred)\n", + "val_acc" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "accuracy = accuracy_score(y_test, predictions)\n", + "print(\"acc : {0:.4f}\".format(accuracy))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.metrics import classification_report\n", + "print(classification_report(y_test, predictions))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_combined = df_combined.drop_duplicates()\n", + "\n", + "len(df_combined)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_combined" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#pd.set_option('display.max_columns', None)\n", + "#pd.set_option('display.max_rows', None)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "X = df_combined.drop(['label'], axis=1) # 'label' 컬럼 제외한 나머지를 특성으로 사용\n", + "y = df_combined['label'] # 'label' 컬럼을 타겟으로 사용\n", + "\n", + "# train : valid : test = 0.72 : 0.08 : 0.2 = 326 : 37 : 91\n", + "X, X_test, y, y_test = train_test_split(X, y, test_size=0.2, random_state=0)\n", + "X_train, X_valid, y_train, y_valid = train_test_split(X, y, test_size=0.1, random_state=0)\n", + "\n", + "# train : test = 0.8 : 0.2\n", + "# X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.2, random_state=0)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(len(X_train))\n", + "print(len(X_test))" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.model_selection import GridSearchCV" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Decision Tree 모델 생성\n", + "model = DecisionTreeClassifier(random_state=42)\n", + "\n", + "# GridSearchCV를 사용하여 최적의 max_depth 찾기\n", + "param_grid = {'max_depth': [3, 5, 7, 11, 13, 17, 19, 23]} # 튜닝하고자 하는 max_depth 값들\n", + "grid_search = GridSearchCV(estimator=model, param_grid=param_grid, cv=5, scoring='accuracy')\n", + "grid_search.fit(X_train, y_train)\n", + "\n", + "# 최적의 max_depth 값 확인\n", + "best_max_depth = grid_search.best_params_['max_depth']\n", + "print(f'Best max_depth: {best_max_depth}')\n", + "\n", + "# 최적의 모델 불러오기\n", + "best_model = grid_search.best_estimator_\n", + "\n", + "# Validation 데이터를 사용하여 모델 평가\n", + "y_valid_pred = best_model.predict(X_test)\n", + "accuracy_valid = accuracy_score(y_test, y_valid_pred)\n", + "print(f'Validation Accuracy with Best max_depth: {accuracy_valid}')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "best_model_predictions = best_model.predict(X_test)\n", + "\n", + "best_model_predictions" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.metrics import classification_report\n", + "print(classification_report(y_test, best_model_predictions))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# DecisionTreeClassifier 모델 생성 및 학습\n", + "model = DecisionTreeClassifier(random_state=42)\n", + "model.fit(X_train, y_train)\n", + "\n", + "# 테스트 데이터에 대한 예측\n", + "predictions = model.predict(X_test)\n", + "predictions" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "val_pred = model.predict(X_valid)\n", + "val_acc = accuracy_score(y_valid, val_pred)\n", + "val_acc" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "accuracy = accuracy_score(y_test, predictions)\n", + "print(\"acc : {0:f}\".format(accuracy))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.metrics import classification_report\n", + "print(classification_report(y_test, predictions))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# 모델 저장\n", + "import pickle\n", + "\n", + "with open('decision_tree_model.pkl', 'wb') as model_file:\n", + " pickle.dump(best_model, model_file)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

랜덤 포레스트 사용

" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best Hyperparameters: {'max_depth': 20, 'n_estimators': 50}\n", + "Accuracy: 0.98\n" + ] + } + ], + "source": [ + "from sklearn.ensemble import RandomForestClassifier\n", + "\n", + "# 모델 생성 및 학습\n", + "rf_model = RandomForestClassifier(random_state=0)\n", + "\n", + "# 탐색할 하이퍼파라미터 그리드 설정\n", + "param_grid = {\n", + " 'n_estimators': [50, 100, 150, 200],\n", + " 'max_depth': [None, 10, 20, 30]\n", + "}\n", + "\n", + "# GridSearchCV 객체 생성\n", + "grid_search = GridSearchCV(estimator=rf_model, param_grid=param_grid, cv=3, scoring='accuracy')\n", + "\n", + "# 그리드 서치 수행 (학습 데이터 사용)\n", + "grid_search.fit(X_train, y_train)\n", + "\n", + "# 최적의 하이퍼파라미터 출력\n", + "print(\"Best Hyperparameters:\", grid_search.best_params_)\n", + "\n", + "# 테스트 데이터로 예측 수행\n", + "y_pred = grid_search.predict(X_test)\n", + "\n", + "# 정확도 계산\n", + "accuracy = accuracy_score(y_test, y_pred)\n", + "print(f\"Accuracy: {accuracy:.2f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import pickle" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
RandomForestClassifier(max_depth=20, n_estimators=50)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "RandomForestClassifier(max_depth=20, n_estimators=50)" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rf_model = RandomForestClassifier(max_depth=grid_search.best_params_['max_depth'], n_estimators=grid_search.best_params_['n_estimators'])\n", + "rf_model.fit(X_train, y_train)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.metrics import classification_report\n", + "print(classification_report(y_test, y_pred))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# 모델 저장\n", + "import pickle\n", + "\n", + "with open('random_forest_model.pkl', 'wb') as model_file:\n", + " pickle.dump(grid_search, model_file)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

시각화

" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "pip install seaborn" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_combined" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "len(df_combined)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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0IykaiDAwcUsFKjNTqIkkelMrlekJvEqJ9ODxYaO074HvhxNUroMSTyLpMWRdRwhB4PsEnheOjR/OAC/imCLSmQl5qPfv6HEhIiLiYSEkGUUPb8JBEGDOzWAvzqEkUsSa2ymO7FoiOgdgL84hJAmjue2wBDRCSLjlEp5ZRqurByFhzk7i5LIke9fhWSZepUyiqw/f9whcl9LYEIHnodZ8pgISXX2U9owueT1KMkWyp5/i6G6cUpFU3zoKw7twy0WURBrfsiiND+9XiptGNmIke9dV369pfMdBCIHR1BKOfx8lU2AREccqR0e3XkRExDFJ4DpYc9MAGM2teLa1LJDZi7UwF45LWxb+Go8uC0mCIMCrVEKjTM/FXpgj8Fx820KvbyLe3kVpfJji7u34lhlOOxkxKlN7SHT3E+/sXRbIQNgIbGcXQruHwMdamKsGTILAcx8UyIR4ZoXKzCS+56Im06iJJFpdfTjuXsgdNTYQERGHgoP5Mq4FUTATERHxiAk8n8D3apNDvnMAwbjAD9cHAb5t4a6xj5GSTIUeSpKMnV2sLfc9l9KeEQLPx6uaQ1amJzBnp9Ay9cRa2nBKBYQkrxqY2blF1FSY8naKBZRYAlk38K0KWroONZleNtFkZxcQgFsqoCSSSKqOEBJqLIHn2PhuFNBEHHp818UzK7ilIp5ZOSyfs4P5Mq4FUZkpIiLiEeE5NgE+SiKFX216lQ/kyyREmLEIfJAVAsfGlUQ49r0GSIqK3tQCgb/EYkBSNfA8PNtcsr1vW1SmJ8JLVRRk/SB9CtXsi5BlZMMABEJWEZqO8D2STS04+SzWwlxteyEraJkG7MV53HKpdo2SZlCZmSTW3HbUTIRFHPt4tk1pfAi3uM8xXkmmSXT1rWm595JLLuGSSy5Zs+OvRJSZiYiIeNi4ZiXMxFgWRmMznuOGN/8gqI4pL0evb8TOZ0MtlyAIy1O+f2Ddl0eBpCjEWtrD7EcqU1vuOzYoygH7VALfRzrQl70QtcyL0dSCUDUCz8UtFRCSQMs0ICQJLVNPqn8D8c4elOoklLUwh5rKEGtpR29qwS0VsXMLaPWNOKXC6ueMiHgY+K67LJABcIv5cBrxMZYJjDIzERERDwvXMnEKWdREmiAIcMplUv3r8B0be3GRZN96SqO7ayUcCPVblEQKp5ADICDArZRDVWHXQV7D7IykqKGqbyyOVyljLcxhNIWecEJVCRxn2X5aph78oLbPg9EbmrBziyjJFEoyTWlk15LXazJJvKMbp1TEyS0iaRqJ7n6cQhGtroHiyK6av5WSTGE0tyFE2FcUlqwi9eCIR0do57FycOwW8wSuA48hyYAoMxMREfHw8H18xwEB9uI8WiKBvbgACOIdXbhmhUR3P8m+9SR7Bkj2rUcoKubcNLHWjrCPBcLMhxCIwyAOIes6yZ4BjNaOagDl4nsuia6+6uTSPtRUBqO5jcBzSfYMoCT3GwcVAr2hGS1Tj1bXSKy1g8BzV8xGlSfGaj5Ovm1TGNqBmkziuw7JvnW147rFApWJMQLPQ6trwDXLeJa57HgREQ+HYK90wmrr/QOvP9Z47IRlERERh4cgwCnkUVN1CEUNdVNEOLHj2xZqug4QSJoeLrNMtEw9emMLvu+hJlLkd28n3t4VBjOH4elQCAlZNzCaW9HqGhAIEEAAyb71Ve0Xt2aqac5MYWfnkRMpEl29BI5TW+/ZFpWZKbxKqXrDEMTbuxCShP0g9WC3XN6X3fF9nEIeJZ6gPDmO0dxK4Dp4ZgXPMgl8H1kzcEoF3EKOWFtXJLYX8YgRB9EwEtJjS+MoysxEREQ8PCQp7HVxHYymFsy5WbRUHUo8SWVqD9Z81RzW95E0HTVdh9BUAnyEkKjMTqPXNSDH4giqY9SH7dJlFN1A0rTwyz7wQQgkRSHwA9xykcAPQgVjwCsVKOzciu/YSJqBWylTGt0dpuk9D4RAq28ASWA0taIkkkvOF/geRksHYeQEnlXBnJsm3tZBeXIMo6mltq1vWyAJnEIWa3H+MdfTEHF4EYq6NKu4H0oyjXiMaRtFwUxERMTDQ5KJtXdR2jOCZ1aIt3cgVBXfcYh39mLNz5Hffh+lyXEQUuhXFAgEEl6ljNHYjNbQhIBVm4XXCs+2sPM5SqO7sRbnq83HAs8yseZnqExPUpkcRdI01HTYNBx4oaCeZ5UxZ6cAkHWDWEcP6XXHQRBQmZqgOLILJZEi2bsuDPgAJRbHyc4Ta+8M99MMfNvCLhZQjDhC3pd5kRQVIQReuRROSj3GygARhxdJUUh09S0LaPZOM61l1q9YLHL33Xdz9913A/t8GUdHR9fsnFEOMyIi4mGhaBoiiJPqXU9lZpLA91DrGlCTGYSA9OBxuOUygeeGN2RZQUgCJAVVyRAEAZIsH9aMDISBTGlsGN91SHT2YC0u4BTyaKk0lelJlHgCxYjhlIrkt28hPbgJvb4Ja362Ot1k4LthwIbvIxsG+d3bQg8qIPDAnJlEjiVIdHRjVvezc4skMvXVJ+UUVnYer1wk1t5NUNXlEUroX2Xnc9WrFQctE0REHAxZ00j2DBC4DoHvISQ59Elb4/LlwXwZ14IomImIiHjYyLpBIATxrp4w8wIIWUGuaqQoscQRvLqVcUsF3FKRVP96iiO7CDwv/KKXJFL9gwSeRwDoLeAW8uR3biW1biPxjm7MhVkC1yXe0YOTzyIpCk65WAtk9serlEBqJdbWGU4tEU6PJHvX4xRz4bi4LIcTYck0kqqR7A2nwczpPQBo9Q2PuTJAxJFBUpTDPrV0wQUXrJnkwmpEwUxERMQjQjnMJaJHg+c4WPOzqJk67NxibdJDjsWx5mcpL8yFT66ygt7YjJJIYghBYFu4vo9bKqImUsi6QTmfDT2bJlZPmTv5bOiavTfYERIBQSiIJySErCBpBkKSSfatozy1B7eQB0BN1xFr7YhMKCMiHgZRMBMREfGYJ/A9At9HiyepzIV9L7H2TirTE0smkALPxZyZRG9qCaeyPA9zYZZEVx+B5+JUy0BBECCERMAqHlN71Y4BJAm9oQm3VMTJZ0GAmq5HiScIAh8hycRbOwma2xCKuiTDFRER8dCIGoAjIiIe8wghoWbqa0EIgJJILxul3os1PxvOH8kyBEEoPiYkkMKpJCefrU08rYSWrqup+aZ611MaH6Y8MYpTzOMU8pT3jFCeGEOSFKzFubDhOJlGMWJRIBMR8QiIgpmIiIjHNL7n4Rbz4WRRqRAGIUKECqirEQQEvo9TLOA7NkKWKOzehla1RXAKOdRUGmkF/yatoQnPcVDjSVIDG3Ctyooqwm6pgGuW8C0L3z6AQWdERMRBicpMERERj2l8y6Q0PoykasS7ehGShFPI1TI0qyEpCloqgwiC0OFaVrCy8xgt7Zgzk5TGhoh39hC4Hk4xj5Ak9PqmqghgEE5zCQl7r9HkClgLc6iZBuxCDiV+9DVNR0QcK0SZmYiIiMcUru1gl8p4TmhZYFZF/HzHpji0A3NuhnhHD0KWl1kZ7EWOxUGSEbKMVt+AZBik+taHCr6JFKn+DaipDNbCPBBgtLQjGXEC3yO/YwvFkV2h39T+vTMrEQShvswavA8REY8nomAmIiLiMYFdqlCanmf8hs3s/sXNjN9yF+ZiASm2VJXXyS1SGt2FZ5kkevqXCNcBSKpGoquP4sguyntGCBwHp5CnNDFGrLUDIUkURnYCoQBZgMDOLmDPz+CWSyiJFL5tUxofBiGq9g4ro6XrkdTVlVojIiIeGlGZKSIi4pjHtSyK49Ps+MkNtUxIbmiC6c0PsPHFF6E3NGMtzNa29x0XIcuUxkeId/aEyruWiawbIEkUh3fiOza+BaU9oyR711EuF5HUTuzsPJKiotU14hbz2KUCQpIxWtoB0DQNt9r865aKqMmw0dh3lvbFSLqBpOsIAUS5mYiIR0UUzERErCGeY4d6I0EA1TFcoaiRhsghxima7P7Vn5aVdALXY/evbuG4l1wEzO6/BrdcQtYNKpPjJHrX4cxNY85OIyQJo7ktdPX2fZAkgsCvWS8Evk+is4fi6FDYF1PFLRVQ03UYzW21ZV6lhGeWiXf2hoFPdTRbq45m2/ksRmMrkhp9HiIiHg1RMBMRcQgJgqA2CeN7DiDwbLsavIR+O17JRI4lohHcQ4hTquBZK08E2bkinu0g6Qa+ZQJhKUnWDbS6BpxCHnwPt1RE0g3i7d2UJ0ZD40cABHpjE4nufgLPQ8s0YC3MLQlkateRz6I3NtfMOJ1ikWRPP4VdW1GSafSGZiDAKeQwZ6dIrduIkKVVe3ciIiIeGlHPTETEIcBzHFzbwrPMsDzheYAAP8CvlHFyiwS2HRoZTk9izU3hmeZDlvwOfB/PtnArJdxKGc+y8LzIiHAvwUHei8APSHb3k+wfJNm3nmTfetxyEbeYx7UqYd+MkIi3dlAaG9ovkAEIsOZncUvFsGlYUcIMyyo4uSxKPOzTMZqaEVXDP69SojI1TmVqD55ZIdEzEAZVx5CSckTEwbjmmms466yzSKVStLS08PznP59t27at+XmjzExExKPEcxwC1w3bHnwf3/dCcTZVwy3m8cwykqZTHN29b59KCXN+lvS641Bi8RWP51kmnlVBTaYRkhQqyBZyqOk6JFVFuApB1bBRKCrSYTZuPJrQ0gmELK8Y1CiGjhLTcUsFAkAx4gS+j9HUirU4j5ZM47sORnMrvueumHEBwkxKeuOBp5P2Q03XIWsGTiGPmkqTWreRwPVACISsIGQ5ys5FrDlOxcItV/AsB1nXUOIGamztAugbb7yRK664grPOOgvXdfnABz7AxRdfzJYtW0gk1k5+IApmIiIeJYHnISSBOTeDtTgHvo9QVJK96zBnJkh0D1Ac3rF8R9+nND5Mqn8QSVEJfA+vOjnjlksEjo3e0IRTyIEkoaXrqhL4Ab7nUJkYw7dMYu1dofGjqiKp2mF3oz4akGM6XU8+jbEb7ly2rudpT0BLxXFyFrKm4RRyOMU8nmVitHWGjbiShCQr2LnFVc8RuoD7gEDL1K+qHqxl6ms9Nk4+izk7TWViFEnTibV3oSaSSJGJZMRhwMoX2f2rP5Efnqgty/R30H/Jk9DTyQPs+cj5zW9+s+Tnr33ta7S0tLB582bOP//8NTknRMFMRMSjIqgaCZYnx2q+PQCB6xA4NkKSa30aK+FVygSuiy8kfMvEnJ/Bt21kw0Ctb8OcnSLW2omQJDyzjL0Y3kDVdIZEZw/l6QnKe0ZI9AyEqra+j6RpSPLj609bi8doPL6fWHMdE3/+G1a2QKypjs4nnYrekEZWVYJkksB1MeemgWrfjKLilgooRgw7nz2g27eQFXzXwatU0BuacQr5ZVkcNV2Ha1WwF+dJ9Q9iNLeh1TeG2RwhQu2ZiIjDgFOxlgUyEE75Df36T6x77gVrmqGpnS8Xfi82NKxu/3EoeHx940VEHGKCwIfAx8nnEJKM3tgUaoYEoYIsQMCByxJ+AH4hh2dW0DL1tQkaJ58l1tJOEPhUJvbUxn0hlNNX4gninb3kCzmsuRn0xhakWAzfdpBij78/bT2dRE8nibc04DsusqaiJfeV8IQkgwJKKo0ST6KlM4CgMrIT0dqBEk8iCIOWlUpNRnMrbrmEtTBLIpEk0TOAWyrg5LMIWQltEgIfa2GOZO/6WvYlCmAijgRuubIskNlLbmgCt1xZ82DG932uvPJKnvSkJ3HiiSeu6bkef994ERGHECEkPMtEKArJnnVUZiYxZ8Mn/3h3P7IRQ9Zjq+4vG3EkIQhkGbdcxJyZrK3T6hrCG3DAkkBmL265hFsqotU34eQXEULgV8p4lgmiAVk3EOLxp1+ip1bOrkiKgl2yiXf0YM3NkN+1jURnL7IRxy3kkY0YvuOQ6O6nPDm2L6MmBEZTSzhxFAQErkt5zwjx9i4kwyCeDNWEfddFkuVqr0zU1BtxZPGsA3iPPYT1h4IrrriC++67j1tuuWXNzxUFMxERjwIhSUjVaZXS+HBtCkaJJ5AkmVhrO3Yui97UilUtb9SQJBI9AwSBjzk9gVsuLVm9tydDb2ol1t6NNT+DmkyjptK1soVTLqEmknhmORyecj2cQh5zbpr0+k0oxuqB1OMNIckouoo5O4M1PxNaDVSbtoWqUpnaQ6y9i8D3QqVfWQ4zNYqClV1EUhR8z0NJpHBLBYrDO5GNWGg2GQTE2joRshI19UYcFcj6gT+HB1v/aHnrW9/KL37xC2666Sa6urrW9FwQBTMREY8aSdHwbHPJOK/e1EJ5arwqvqYjGzHURBJzbgbfdVATKfSmFsz5GfS6hmWBzF7s7CJGU2t4g21pR9J0KlPj4fZCoDc0IekGRmMLyDKyEGFgEwSYM5OhEaLnhRmFIKiOFqsEvh/+TPC4akYN/GCfEnAQIISEUymRbGrBmp+lMjmOUBTUVB16YzPlPSM1x2t7fha9oYl4RzdepYw5PwuBj6xqaA1N+I6DLEXidxFHB0o8Rqa/g9zQ8lJTpr8DJb42DzpBEPC2t72NH//4x9xwww309/evyXkezBEfe+jr60MIsezfFVdcAcAFF1ywbN2b3vSmI3zVEY9X/NrItIlnWwRBgKTry4IRUW3oFZJEZXpPaHA4O42cSKLXNaDV1VMc3om9uLL4GkKg1TVgtLQR+D7m7BSl8WEKQzswmlqR4wkIQv0TOzuPHIvjlkq4xUJtdNjOZ/FdF9eyqMxM4pVLOOUSnm3hOzaBbeE7Lp5l4VgmvudVtw9fm2dbuPbKQnTHLHvVmKuY87PEWztxCvmacm/gutiLc5gzk+j1jbVtA9/DnJumMLQDoeuoqTRaph4pFo56S6qKZ5YxF+ZwyyV8d+3T+BERq6HGdPoveRKZ/o4ly8NppvPWrF/miiuu4Fvf+hbf/va3SaVSTE1NMTU1RaVSWZPz7eWIZ2buuOOOJeJf9913HxdddBEvfvGLa8ve8IY38OEPf7j2czy+VJcjImKt8V0Xt1yiMr0Hz7HRkmnUTD2SYyMpGrL2oCbP6g2zMrUn7MGYGMM1y+iNzaEjM5DsW1/dlppiLICayqA3tmBn53EKOTzTJNndj53PYS/OURwfJtndT3FkFwDWwhx6QzOCgMp+pSwhhQGVb1kYTa3Y+TxaPBlOTc1N41UqSJqG0dQajny7Dr7r4ttWOKIcBGh19eAnCYRAlgRCUY/tPpzq2Lqk6WFPkiwTEKCm0viOQ7J/EKeQI/D8MFDRNNKDx4eKv66DkkihJJJ4VgVZ0xGKglMuI2sadjYbejv5PuWJMRCCZE9/pO4bccTQ00nWPfeC/XRmVJR4bE0bfz//+c8DYSJif7761a/y6le/es3Oe8SDmebm5iU/f/zjH2fdunU85SlPqS2Lx+O0tbU9eNeIiMNC4PvYuQXKE+OQaqJoOoz+eZhYaoa+k/vR9TJGOg1CgiAMSMJ+DAnftiiPD2M0t6NUe128cglzYRZ8HzWVQU1nSPUPUt4zCoSNv/vr0niVMk5+kXh7N0EqjVPI43vuvqmbIMC3LSrTS9PJen0T1vwcTiFL0NyG1tCEVyqGbs61Y7uUxoZIrTuOIPCx5mdx9tNacQo5ZCNGsncdvh8QVCrIqnLs3qCFCF+L42AtzhG4Lko8gaIb+J6LrMTRG1sIPK/W5FuZngz1fvJZrPkZyhOjCDlszA58j9TgJgLbxi0VMGenEIqCXt+ErBuUpydIdPQcUe0fx3FwXZdYLOqfejyixvTDMoK9l4eqan6oOeLBzP7Yts23vvUtrrrqqiVPf9dddx3f+ta3aGtr4znPeQ7/8i//csDsjGVZWNa+/oV8Pr+m1x3x2MZ3HcqT44i6dn7+uV8yumW0tk5IgudfdRkDpydJ9g5QGhsi8DyshTlire1UpvbgOw4oSvjEPjkWloKqeGYFa3GeZHcf8Y7uMPiZGl/xOspTe0j29If6Jq5bVbwNS1TiQboysm6gZerIz24FwJybRqtvDI8tJIQkqmq5gkTfYBgY2daSQGb/a7SzCyjpejyzROBpKHBMBjRCCOx8FntxvrbMztnY+SypgY0IJPBcfNtBSWWws4u4pQKxts6wdFR1vt6rNKwkMwSOS3FkF0JVMZrbkHU9zOSVCsiaju86R2S6aXZmnnw2z03X38r2B3bzuisuR5IE27bsYmpihhNO3khHZxtdvR0HP1hExFHOURXM/OQnPyGbzS5JRb3iFa+gt7eXjo4O/va3v/He976Xbdu28aMf/WjV41xzzTVcffXVh+GKIx4PBK6LbCTZfP29SwIZCBtKf/LpH/IPn3kzdW31JPsG8W2LwHOR40lS/Qkqs5MoRgyvUloSyOw7voOVXQyF8hIpAmeVXovAD3VthEDWjdqNVUmmEWqocxL4PlpdPZKiUhjaT3W4an4Z7+hBCAmhhNmVUCcnNMB0CrmVzwtYi3OomToEhKPipol2DAYzgectCWT2rQgoT4yhpTNUpicQskysrQslU4/e0EQQ+MQ7e3Hy2ZpKsJapQ29qpTSyC70h1Bey5qYxZ6vlu8Zm5HiyVj48nMzPLTKye4y3ve79WKbF9379ZeZnF7jqTR/k9CecxOuv+HsAFhez+IFPJpMiU5857NcZEXGoOKqCmS9/+ctccskldHTse1J44xvfWPvvk046ifb2dp72tKexa9cu1q1bt+Jx3v/+93PVVVfVfs7n83R3d6/dhUc8thECV4mz+Vd3rLg68AN23LmDJzzv3JoRoec4oe4LAfGOHvyqTcFqOPlFlET3QeT1gACURArPsiAIkGNx4u1d4AfozW3YuQUq0xP4lrVkNyWRCrMJQkJSVdxyCXtxHtmIocQTlGcm0VIZYq0dy8pVe1/jXgdwWYReUEEQHHP9M05x9d+BVykht1SbgPeWmbp68R0Hr1LCyYe+WLG2TgCEqodj3bKCbMQp7ee95Vsm5Ykx9MYW9ObDXyLP5wpc/b5PUiqWed1bLsf3A959xdU897JncM55Z3LlG/+Z+dkFNh6/nne8/014XT7z81kURUHTVVpbmw5YGtvb5yjL0fRWxNHBURPMjIyM8Ic//OGAGReAs88+G4CdO3euGszouo6uR6JVEYcGSQkdla2yteo2hYUikiyHN/eq8m9ldgoBeJaF1tB0kLMIhCAcF1ZUgpUmYYSEpGnEO7rwKpVq74eNb9tUpvcQ7+7DyS7grzCBtFdJWJIkCkM7lk5QSRKpvvWU94yipuswWtpwCvnaSDKEWQi3XAr1c4zYEck2HAqEeHi9K+bsNPGO7lr5zclncfLZapN2M74bhCPcE2Mr7m/Nz2A0tTzq6364LMwtMjIUliuf96JnsmP7EJVyhUtfeDF/9/y34Hkeb7ryVTzj2RdSqZgUckXuvvM+vvGl/yFTl+bN73g1m04YpLNnaQlqbnaBndt287Mf/hZFlnjRK55HT18n6UwitOXwXAQi1OhRlMedrUbEkeOo+aR99atfpaWlhWc/+9kH3O7uu+8GoL29/TBcVURE2BuiJxO0D3YwuWNlefCB09ctyVLIukGspR3fcbBzC6EybCqzujlhXQMBYM7PEG/vojQ2tGybeEcXTrGAOTNJoruf4vgwkiRjtLbjmRUEgkRXP8WRnUvco5VkCs91kGSF8sTo8lFw36c4OhSed3yY1MAGQBBr7cRenENOpFGTyTDACsKsg6Rq+K57zAnEKcnUAdalcUvFJct8y0QgkGNxPHPfaKlW3wBBgFPMoaYyqzptA3iWGU45HUZcd9/1CEliYW6RV77xpfzPN36C53lccNETedozz+fjH/ost/9pMwCnnXkSH/z4u/jif32dq970Qa587z/w9Gc9hYnxSRLJBPX1GX736xvYdMJ63vT2V2NWTG67+U5uveVOnnj+mbRk4qiFeSBASaaIt3WBts/WIyJiLTniOjMQ+jd89atf5VWvehXKfh/8Xbt28ZGPfITNmzczPDzMz372M175yldy/vnnc/LJJx/BK4441gl8H99z8X0/1FOxLNxKCXN+Fju7WNOQ2UuiIc1Fr3tmOKX0IBq7mmjtW15KkDUdJZ5Ab25F0nQC30NNLe9LkFQNra4BSUg4uUXkWJzU+k1odQ2h2F46Q7J3XSjUNj1RldR3EJJMvKO7Zp8AAULTSa87jkTPAEZrB4nufhKdvdWSQRBaHaz0frgOQlHCYzsO5swkxeEdqKk0sqFTHNpBaXwEz7ERQiLwAwLPDZubjyEkRSHWurzhVcgKRlNr6Hq+//JqOU1vaF7yu99rbWBlFw4qOngkJpmamhtIVm0dXMdlcOMAff1dbN+6GyEEb33n63ntS95eC2QA7rrzXt79lg9xxTtfh6IqfOnabzIxPoWiKHzmE/+P1738Ss5+4ul093Rx9+b72LZlBx09YcbvPW/9MP/2b1/GSoUZSLdYoDiyq9bXFRGx1hwVwcwf/vAHRkdHee1rX7tkuaZp/OEPf+Diiy/muOOO453vfCeXXXYZP//5z4/QlUYcywRBeDN3yyXccglzLhyz9R0Hr1zEd1wkVSXwXfLbt4SO1tWARghB27oO/v5jr6a5NywbyIrMKU8/jVdc/UpSjekVzymEQFF1hCQh6zG0+gbinb0oyRRyPEGsrZNU/yAIQXlqglhrB+b0ZOgLJEmo6TokRaU0Noy1sO9GK8fiJDp7MWena9sKWUHRNGQjhl7XQLy1AyWRwJyfRZLkJWJxK+L71ZHyfTft0vgI+AHxrl6SfevD9yfwEdXuHs91jqmARlJUtLoGUv0b0DL1KIkUsbbOmh/T/hktCM0lnWK+ah65DknTq1o7EnYhj5ZM41ZKyKvZRkgS0hGYZEqmk7zlHa8B4Prf30x9Yx0g6Bvo5uwnncEffn0jhXxx2X6Vislvfn49T734yZSKZQr5ApWKxWvfcjn/9pkPMj05i+u5nHza8Wzfupur3/tJbvj9n3nru17H+g393Hr7feidoeKr79i4lXIkHhhxWDgq8n8XX3zxirPp3d3d3HjjjUfgiiKOBXzHxqveSIUQIMlI1QbcZdu6DtbiAubMRG0kWcvUodU3UhjaTry9G2thMrzZ1TeiN7VQGNpBenBTbaxWMzR6T+rn7z76aqyKjSxLxDNxVP3gUz2SohJ4HoHpIumxMAUvyfieQ3739rCU1dCIEk+G49yug5rOUJlcPqatpuvwKhXKE/smq+JtncsyBJ5t45bLWHPTaOm6cHx7P3G+ByOkcMrpwSUTzywj6QaFXVtrN3tJ1Yh3dCPpRljCOobKTZKq4XsuWmNzKHaXzxP43rIpMq2+ESHJWHPh78AtF0KBwWQau5BFSAK1ronK9CSxtk5Ko0ME/v7BkCDZM3BE7CJa25p56sXn0d7Zyp9u/AuJZIzTzz6F059wMo7t8M/v+jgAx50wSCqdZGjXCPOzi2zYtA7LsjnptE387pf/iyzLNDbV84F3fJTdO0Zqx377+97IiadsQhISX/3id3j/2z/KG//xlezeMczICetJ13UQz02FDwTpaEoqYu0RwZFSuDmM5PN5MpkMuVyOdHrlJ+iIo5/A98OnPCEIPB8I/Yf2qtUqyXQ42SNJKPv1KARBgDU3Q3lyeZOmHEug1zVQmZ4g3tVLaXR3OJIbT1DYvZ3Uug2oidX7LB4Ovu/VJmPcchm9oYn8jgdqQnvxzh5kzaAwtB2g6uukhdkX20LIMnpjK1o6Q2F4J4HrIGk6sbZO1GRq2U3TtUzKY0O45RKSppPsH8RenF/izL0XvbEFglAJtzy1Z59jNKHPlGdWlo+VC0FqYCMIgRpf2an6aCUIgtDSwfNwK2WUeBwQtWWyrmMvLmA+2BwUSK3fhDkziVbXgFOo9swEAbKm1bJ+sm6EZUJNC53PjwClbJH52QVkQyW7mEdRFRRFQlVUtm/bTUNjHXfedjcL81me9ownk65Lc+Mf/kQhX+Ssc04jl8ujyDIz03P8+8c+v+TYQgi+8M1PMje7wBf/6+uMDu9BURU+89//hz1jk/z1L3/jre96HU1xGb2hGSmaenrYmKbJ0NAQ/f39GMbh7bk63BzotT7U+/dRkZmJiDgYnm0RuG745CvJCEmmOLxzibmjW8yT37mV9PrjcC2zFtD4jk1lZuXGXa9SQmppC0sn1fKKtTCLEosjadqyssNKhDdGpxaUhBmO5bL/kiTjY+Pkc8jxRDh1VNWNIQgo7xkNg4Mq5uwUshHDaGpFUpTQ/ycWR6gamcFNtdHo1cTrfNvCr2ZZfNvCyS6g1TeGAdLMJL5t14TelFicwPOo7C1x7YcST6zcuBwE2LkFtIbm5euOcoQQtYxb4Lk4uSxOuYiaSKOmMviOtWIgA+AW8miZekpjQxhNrWGwEviAQDHiSKqGEk8iKcoRVf7NzuaQdIU7b7ub6776Q/K5Ameecyqve8vleK7L6156JZ7ncdGzLmD71t188sOfw69m7b7+//6Hk087no/8+/v57Kf+e9mxgyDguq/8kLe+63W89O+fzyc/ci2u42KZFru2D/Prn/2Ry17xHNpP3xQFMhGHhSiYiTjq8SyT0vgIbqkQysgLgZquI9mzDrdcxCkVUGJxlFgCZInA9xCShOfYyKoWOkQfICjxbCssk1STlL7rgCQRBP5BlVsDz8O1LIQI8G0b3/NQjBh43spP5X6AFE+gJkNrg/Tg8WHzrazguQ6uWUaOJfAqoXGlZ+4rJ8mxOMmeAeSHOB3i2TZKIo1thS7RkhHDq4THT3QPhJfjhZ5T+AHF4Z3LjiEbsVC23115Wsc3zWNOa+bByHoMc34Oo6EZO7tAZW6KREfPqtubc1Ok1m1CiScwZ6dgdqoWkApVJdW/gcDzEA/26zoMmKUK5XwZ13LAkPjUR6/l+t/cXFv/sx/8hmdceiHvv/JjeJ6HEILnv+QS3vqa9y0r9f/tri18/1s/Zf3GAcZHl2fztt6/g6337+Csc0+rLUtnUvzyp38Iz/X933DSqZuim8zjjM9//vN8/vOfZ3h4GIATTjiBD37wg1xyySVret7ocxZxVOPZVuhZVPXUCTwPJAlZNwh8D0nT0TUNWTfwHJvAthGSjGcXUeNJYK+2iIBVJOkkRQm/yKs3ZSWeACFQ4knEQfodPMcmCDy8ciU0djQrFCbHUOJJ4h3dyPqDgpkgQEtmEALKk+NLVHdlI0aiux/FiFHeM7pk8kjWDRLdD8+0UJJl1MYm7Ow8ihHDr44We5UySjJNaXR3rT/GT1dI9gxQmQ37HBASWn0DRkMz5ak9q59DNx62dsvRhqSqJDq6cCtl5HicZEMTkqLVApQHoyRSQECiqz/0s5qbxS0XUDP1tWk1STv8fTKLU4tM7pygoaMB2VCY3jO1JJAB6OnrZPfOEVwn/L2feMpx3L35vlX9dH78vV/xTx99Bzf8/k/L1rV1tlLXkGHrlp30DXQzP7eIbTsUcmE50nGcI+bTE7GPSqFCKVfEKlkYCYN4JkEstXY+XV1dXXz84x9ncHCQIAj4+te/zvOe9zzuuusuTjjhhDU7bxTMRBy1BIEfZgRkGS2Zpjg6tM/IEcJavK7j5HPEWtvDkeEgIPBdJEnGymfRU3WhK3KmbkXfISGHgnhGUyvWfJjBiLV04JllEh3dB9TI8H0vFMUrFrAW5/BdFyWeJNHdjzU/izk/g9HcvkSLJaiOSJvTk8vsAzyzQnF0N4muPhK962qjz5KqIanqw/b3UWJxPMch2buewLXDEpJtkezfUO132YBbLuJVykiqDrKM3tiMYsTDbBYBhZFdJDp7KK6inKs3NC13DD8GkVQNTdXwvVTYDOz7xNq7qDxIDC/e2UsQCMyFPIs7xnBNm/rBHmKtPQg5DCAlVT2sfTKe41LMlUBAXVsdVtlEVQxuvv7WZdvGE3HyucKSn3OLq6sil4pltFV+v69908vx/YDbbr6TU888kSdfeC5f/MzXa+svfeHFxOORueWRJDeb4xef/SlDd+3Lug6ctp5nv+15ZJrXpjH7Oc95zpKfP/axj/H5z3+e2267bU2DmWP7kSriMU3gugSei17fRHnPyJJABsI+ECWexGhqxXddkCRK4yOURoexFufREimcchGEINbchhxb2qQqZIVETz9CkvEtE8+xSfYPIhQVva7xoFkQ33EoT+0J7QNsG3wft5inOLwzdFku5JeUt4IggCDMEa0mnre3X8V3rNC6IBZHTSQfoVGhCFWJ5ar9gO9jtHUhFAUBofuzkNDqmxCKHGZsYgkC38ecmUQgwPdwy0Vi7d1LRraFLJPsW484hqaYHgqSLCOrGopuoNc1kBrYiJrKIOsG8c5ePM9jccce7v/Gr5i49V5m7trGtu/9nu0//l8CP8wYHs5AxlzMU1nMIYB8ocjY1BS3/fUeSpUKqrY8EB8ZGue449fXft65fYiTTt206vFPOPk4WlqbMIx9nz9ZlnntWy5H01R+8O2fccbZp/DaN1/OT7//a+6+8z4ATj3zRPoGIguZI0mlUFkWyADsvmsnv/zsT6kUKqvseejwPI/vfve7lEolzj333DU9V5SZiThq8YMASdNXbMSMd/bi2xbF4R1hf0J10ie9fhOl8aFQdr6YJz2wEa9cIkCg1zcgtbThWRayriPrsTBT4ntVD512ZFV5SDcj33MJPA8nn11xfWV6glhLGwQBvuuGzaAiDC4OJiTmOzZyLI6QQnG64kIO3w8wknE042FkQQS4pSJOKY+kGaQGNmLNz1DcvR05FifW1oVTzGHnFlGSqbDx1XURQuBaFQIg0dVHcWwINZkm1T9IWI0TiGqm6FjvlzkQkqIiJVXkWDwMlgMfdz7H2I1/XbZteWqembu20nneaUjy4XlGNLMFipNz6C2NzC4s8tbXvpc9Y1MAfP2H13LeU87mC//59SX7VMoVpidnOf0JJ/PXv/yN+dkwqF6/oZ+d25eqTgsheMcH3sSvf/YH/uu//w+e6zE3O09HdzuGofHGy99Jb383J526iR9+9+fs2jHM4MYBLnne0zjxlE3E4/HD8j5ErEwpV1wWyOxl9107KeWKa1Zuuvfeezn33HMxTZNkMsmPf/xjjj/++DU5116izEzEUYvw/doI7f5o9U14lRLm7FQt8xF4HubMBObcNPGOnlCozPex8jkkTUMxDJxigcrMJJ5VpjIzQWVuGllRUIxY2ECs6w8tkHGcUDX4QKaFZgVJM0ASuJUSbqUcli8CP5x2OkBGQ1I18APKuRJb/7yF737423z9vV/ht1/8FXPjs3juwSesIMw8ybqBk8ti1DdSHNqONT9D4Lm4xTyFXVvxKhXiHT3IRpz8ji0Uh7ZTGh8m0dlHeXIcISuk+tajJlPVTJOLpByZQMb3PXzXITjMvlCSLIPv4Ts2C9tHV91u+q6tOOW1f9qFUKZg/oEhYs31FCsVPvCOj9YCGYD773mA6alZ/v71L16273Vf/QEf/uR7ufy1LyKZSvDJj1zL+67+Ry57+aXoVc2k404Y5BOf+1dKxTJ7xqdo62hBCGhubWLzbXfzxsvfSblU4bQzT2J49zhjwxO85O+ex8WXXsAffn0TqqpQv4qQZMThwSqt7iX3UNY/GjZu3Mjdd9/N7bffzpvf/GZe9apXsWXLljU7H0SZmYijGKdSDhV0Eymc/L7+Ei1TR3F414r72ItzaJl6jOY2hCyHvR9CQggRytgLgWtZKAkXWdXwHQf5YZiS+o6DuTgPnoOQDvznE7gOvh2O+MZa2glkGRGENgCx1g4kRcWrlKnMTNYaTeVYHKEoVAoV/vDV33P/TffVjnfPH/7K/Tffy2s++QZa+w/uxCzJMoGmoTe1YueyK2aEnHwWy4gj9nsPfNvCKeZJdveF7ttCoCTTYRBWdd1ea3zPDcuM1cZtr1QMM2qxWOhMrmphQHWYRp+FkBCSjHsAs1HPclbrMT/kuKaNWzbxTJtsLs8D9+1Ysv6zn/oy1/3k82i6xvlPPZfvfetn5LI5zn3yWVx40ZP4yfd+zeL8Ip/+wkdoamlg1/Yhjjt+PS/+u+dhVUz+ese9/OfHv8Bb3/V63vG+f+ANL38HM9NLrR5i8RgvfPmz+fsXvIVK2eT6396Mpmtc9YE30dndFqpORxwx9MSBv9cOtv7RoGka69eH5cwzzjiDO+64g//6r//ii1/84pqdMwpmIo5KAt/HMythxiSeREjyPnVV3wdJICnqPodoSUJvaEJNpJBUFUnX8EwLJWaEWRFJqmUSZFlBaBqFoR2k+gfxHAchiep5q0HFKjdszzIJbBPfttGbWle9fjWdwSnmcQp5kv2DBEIgXJfC8I4lY85qMk2yu5/i6BBKIpyAAkFhvrAkkNmLazn87ku/5kUfeBmx5MFTxEJR0DINlCdGVt3GyS+S6BlA7h8E30dSNYQs43suSjK15johnm2FMUAQgJDC//d9AiHAtSgM7VzSLyXpBvH2bgLXCUfcDweKAp5D3fouZu9dOXWf7mtHXqFPZS0QkoRsaLiui2kuD7Aq5QrvfPMH+Y8vfoRctsAb3no58UQCWZZwbIeunnb61/XQ3tXCD7/9czRdJ5fN8/n//BoL81kg7I1JpZP863s+wb/8n3fy/z77De69+wEATj79BN5/9dtpbKzjOz/7Art2jCIE9K/rIZ2K09jSeFjeh4jVSWSSDJy2nt0rlJoGTltPIpM8bNfi+z6WtXaZIIiCmYijlMD3Q70WoDIzQXJgMBzRJtRLSfUN4rtOmF0JfEQQYM7N4CKQHAehxxBCwq2UgYDynpFaSUrIoUFjoruP8p4RYu3dCFnBt03sxXkQIlRv1Y1lbsfWwhy+bVYdsOeJd/QssRUAEKoaOk7ns6GoXxAgAfmh7cv0bpxiHknXSa8/DoQIp5c0iV1/XfmGCTBy7xBWyXxIwYwkKwSKe8AMxt51ge8jVS0P3HIRNZVZ+0DGsggCLzT3rAavaqYez3ORFYX88M7ljd+WiTU/g2zEkHQD+WGMqz9SZEUh8DTirQ3EmuupzC6djBOSRM8FZ6EYh8eHSTE0Em1NSDGDdCaFosi4Dyo/Du0a5bUvvZJv/uhaHtiyA8ey+fNNd/LbX/4vtmXzng++lZiq87RnPoU3vPwdy4Kif3zvG/jlj3/P3+7awkc+8O+86PLn8po3vwKAHQ/sImbo1KWTiKlhLnjyaVRmp0h0tIX+VUdQLDAiJJaK8ey3PY9ffvanSwKagdPWc+k/Pm/N+mXe//73c8kll9DT00OhUODb3/42N9xwA7/97W/X5Hx7iYKZiKMSIVcN+gTE27qwCzliHd1IKyj/KvEkia5ePMdGy9TjFPMYyVS1dOMvE4MLPI/S2DDp9ZtwzVAfprwnFOXbdwESRlNLKCgnpGppQwUC3HIJo6Udc24GvbmN9PpNYZDjuSjxBLKmUxzeiZapR29qxXccgmrD8EpYC/OomQbcchE90xCK9SmrBxFCEuFI1EMkEBJ6QzNuabmxIIQ9SG6ljBKLgxCIajC31voxjm2HfURmBdmI1Vy7K1N7MJrbQr2bVfpjnEIOvaEpzHIdhmAGQKmW4ja+6GlM3bmFmXu249su6d52ep56FrGmw+tBlGhrpFIykX3Bc198CT/6zi+WbXPOeWdQKleor8+w/YFdVCoVXvCSZ/Hkp57DvXc/wNz4HC1NDfzPL7/ED7/zC+7efB8trc1c9uJnkUgn+I//8wUAZqbn+L+f/krtuLF4jGc/7yL8quCj79jVz6WIApmjiExzhhe8+8U1nRk9oZPIJNdUZ2ZmZoZXvvKVTE5OkslkOPnkk/ntb3/LRRddtGbnhCiYiThKEUJCUhR8xyUgDBIkWaU4vGNJIAPglouUp8ZJdPbWMi1UxfXsxflVz2HOTaNXA5b9A5lEdx+BH1AY2l4rCSnJNPGObrT6JuzsAuWJMZI9/dUR53GELBCSjL0wVxO7cysl4l19eKZ5YOfgwEdIAi1Tj5AEvu2y/sxBrv/GH1fcfMM5xxFLPfRJEUXTEEGoOuw8qGlZSaZQkknwQjuHB2ei1gKvqpQsRDii7pWKSKqK3tiC79hImlbrdzogR0CQTdF1FF2n+4IzaXvCiRAEyKqKEjv8zthaIoZtu9z1s7/w9695EclEnB9+9xeUimVi8RjPf8klvOAlz6JUKPGrn/4RI6bz3Bc9k0xdmn96x//hyve+kdauFj7/ps9w7mXn8apXv4SLLjiP7J55Zu4e45RLz6K5pZHZmeV/Qy/9u+fR1JShPDlGrKUNc3GOREeY4Yw4uoilYmsavDyYL3/5y4ftXPsTffIijlqEouBXSjj5PGoqTSDEskBmL6FwXieeZYalkWrmwnuQz9D+eGYFo64Bc3qfb5OSTAGC8p7hJduG+jE7SPVvQEkkcUtFiqO7SfYN4paXGjAKVSXVux7PsqhMT4LvYTQ2E2vtpDK9XE1XyOE4uKRqSJKE7/kk65Oc95Inc8v3liq4xjMJnvqqi9Af5s1T1g1inT3ollkL8MJSWiz0eFLVw1Ku8SyLyuwken0T+aHtSzIvdm6RWHsXkqriFHKhPcUqCEUhCDigqOFaIskyeurIm2sqmoKsyPz+s7/gef9wCU+/5CmUS2V0Q6ehoY7hoVHe/oZ/rm1/3Vd+QGtbM5+89l9JaAZzI6Hswa0/vIW5sVnOfdF5pFJJejb1Yiga137l47z7bVczMhQ6hwshuPT5F/GKV78QVRZI9U0ISSbR2QurONZHRBwOok9exFFL4HkgJCRdDyeQDjIKHPg+emNL6GScaYDAR9INPHPlcVlJN5AVdckN1WhuDwX6VsC3bVyzQryrDyeXxc7O1+wA9h1UJta1jvximVKuhKprxFMxzMV5hBBheepBrtWx1o5QbG2vnYJhgCRx1qXnsO6MDdzx89sp5UpseMJGNp67ibrW+oO9dSui6AboBnI8CQThaz+MeK5DeXIMvbE57DNaIfNSmRwnveGE8HcmSSiJ1NLyX5VYc3tYljrGrRQeLUKSOOH8k/jb9XfzPx/4Bh2DndR3NGIWK5z50idy5Rv/Zdk+01OzfPO/v88/ffhKcluGeP6VL+CWH93Crr/uJDu1yLmXnUcpW2RsywgXvOR8rv3CRylaFqVimcbmBpSSSeme7dQ/6TTUdCYMxCMzyYgjTBTMRByVeLaFZ1YIfD/0uxEgDlRVqNbq1WQat1zErZSQ9Rix5rYVbQwAjKZWnFIJNV2HNxtqdEiyvGr2B0IRusD30erqw0kaIVDiibC3BlDb+7n5ezdzx89vx/fCm3V9ewMvet9LSChW6PskSeD7CEnGaG1Hq6tfptmiaBqKppGoT9G+vhPf81AN7ZBouzxUo8pDTeC4BFAbSV8VPyBwXUrTe0h092NnF7AW5mqTVkZrO0o8SWVqD1Jb5+M6G6DHdLSYxvmvuJCbvnMDEzv2MLFjD5vOO4Fbb9m8qjfS9b+7hX987xtwFnJ4c1kuufwpxNqakFQFM1uksTlNS0pl+Kf/u6/XS5Koe95T2PHb0Cah/awT0Q8wEeM7DgFhj5cUlZ8i1pjoExZx1BH4Pm65FDpeey6lsSF8xybVP4gST+KWlzey6g1NOKUCBAFqKkNh11bS6zeBECR6BlaYZurBKRWQVBU11Yi1OBfqmgTB0jHwByHrOm4hh6yqqMl01cOnm8Lu7eiNLdx38xZu/8lST5zFyQW+9S/f4LWfegOikCMzeAKB5yIUBUlRD9owqWgKx/qfamjkCfG2zmXTScsQEHguRnMb5T1jSLpOsmddTd/Gq6oUx1o7jkjfzNFGqjHFxnM3MXDaOvZs2wMEnPCUk/n6l/9n1X08z8NzPTrOOYmRP/6FqZs2gxBsfNHT2fPLG1fcx6hLYRf2BaF2oUS8eXmW0HcdPMsKBQ49F6GEfViyrobZwYiINeDY/oaMeEyytwnUWlzAmp+pLS+M7CIzcBzlqfF9NgJCoDc0ozc0VdVhQ2sDNVNPfucDGK0daOk6UuuOWxLMBEEAioJAUB4fJtndj5VdwMotoDU2Y81OLb8wIVATKcp7RhGygloVkpN0I7RRyFf40w9uXr4fUMmXmdo9Sd9gI0gSkmI84tS873nVxuQAISvHRGbCc93Q28n3IQhI9q3Hzi4s86hSEqlqRs6jMh72MnmVEk51u3hXL0o8iZ3PhXpCqobv+0iP0wmaSrFCYaGIqikEfkDvSX1M7Z5kx53bOevc0/jiZ76x4n4nnHwcqqahpRMMPPs83JKJlSugJmO0nLaRmbu2Ld1BCDrPO5U9t9xdW7SSeKLvebiVMnZ2ASXdSHk2x9TmO/FMi3RfBy2nbkSJa8iqFpWmIg4pR/+3YMTjkwDsxXn0xhbUZAoIm3lds0ysrYNYaztBtVTjlArkd4RS2bHWTmQjTry1Ezddhzk3jb0wh5JIYTS3YmUX0TN1CFlG1nQCx0FvakHICkZLe6jzoij4ZmWpq7Ukkexdh1m9qYr9vohlRQFFwZkrUs6VVn1JM8MzDJ7eX/NpethvSRDgWSZOIRcaTwZhMOOr6pKem6MR4XuUJ8b2vadCoDc0Ee/qpTy+r0dJqw8NPktjQysepzK1h1T/BiBA1g3ccinMcD1On/jtisWuv+7gjp/dhlW2kGSJEy84mSe9+HyypQLnXXg2t/zv7Uv2URSZK9/3RpLJOFqyOhXXkCHV3YrvuXSccyLJzmYmb78fp1gm0d5E6+mbmL1nO+ZC+PvTMknU+PL3PHAdAsdBSTWw5+Z7mLtvnyxCeWaR2Xt2cPzfPwsSAb6iIj/Cv4WIiAcTBTMRRx2BHxD4LsneAcy5GYojYXbGaG4Le2nKpRXNJ5Ek1Ewd5T2jaHX1KIkUsbZOQOBZFUp7Roi1dFCeHK81lSrpDEZTG6XxYTyzgpquQ6trQKtvJNbajluphF5EuoFdKmBVm3e1zPL0uhCQqEtQyq4c0DR2NoWTS4/wy9uv9hF5ZoXK1J5aiUVN1xFv7zosY9WPBM+2KI4O4VX2e1+CAGt+Fr2pBa2hGd+soDe3hqaOB+in2eukXpkcx5QVUv2DBy9bPQZxLIf8XI6R+4ZRNZXL3vdS5sbn+ONXf8ff/ng3ru1y2gvO5h/f/QZOP+tkfvw/vyK7mOOUM07gtW96BfUNGVIrTGNJsoKeSdMYj5HubcczHeYf2M2un9+EZ4Vq20pMZ92zn4ySWCGY8X3cSolAxJYEMnvxLJuxGzfTc+FZZHfuRk3ESHY0o6USSAfQVoqIOBhRMBNx1OEHPpKiUdi9fcm0kGeZobVBPEFqYCMBAfbCXK1Ukejqw5ydxGhqQQgJ37YpDu3zrEn1D1IY2bVkisbN5ygViyR7BygM7cDJZ5FUFd9xcPI5JENHTdUh6wbmVDhWbbS0h5HLg1ANjTOffTY3Xnf9snXxdJymnuYwo/IICIIAt1LGyWdxyyXiHd1IigpBQABU5maINbc+4uOvJb7rLA1k9sOanyO9/jh826IyM0WiqzdskD4A+8xFXcoTo8Q7+w71JR/VOJbN9r9s4yef+uESLZ7+UwZ4yT+/gu986JtsueV+nvjS88lmc5x06ibOftIZoRK1LDE/u0BPTweKtvo0m+/6WNkiasKgYUMfsYY6KvNZ9LoU8ZZ61EQcdRW1YzmWYPa+1e0zsjvH6TrvNMZvvgvfcRGyxOALnkq6r+OAYpEREQfi8VlojjiqkWS55tC8hCA0mQxsm/LkGJXJceRYnPSGE5BTaWTdQMs0YC3M49omnrnvCV9NZ7Dz2RXHgQPfw87nwqkpwFqcR6trAAJ800TWQssEra6e1LqN4U4rHEePGzT3tHDmpWcvecps7GrieVdd9rCE7pZdo+chZAXPtoi3d2HOTlMc2UVxdDflPSMoun7Y3aQfKr65utYPgR+qAANKOk0QBGGQtkpAI+nGEsPMcIoswD9KX/takJvJ8pNP/WDZ73vont2MPzDCcU/cFGa+8hV6OzpoaWzErliUixV0VePEE4+jsSmNv0qTu2e7ZEcmUBNxZu/ewa6f34jnOmT6O5E1heHf3RaqHzvu8p1lBaGoKwb7++OaFvXruwEIPJ8dP/ojTmH1Em1ExMGIMjMRa47vOPieG6ryyjJCkpG11QXahBA4xdzSZYpKvKOLwvBO/P2E8CqVMvbiPImegTDFXSyEdXvPQ9b2pcFlI76vaXgF3HIxVMgt5MKx6b3nrTb6WtmFUI3YdbEW5tDqlhvp6XGdtnXtjG0Z4UXveyme6yErMrnZHJIikcg8CpE1ISDwibV0UBzZtaS0EnhhP0qyfxCMw6f0+VCRDvC7BsD3MacnMNo6EZKgPDFOvKN7SS9NeCCJRFcvpbHhpcsfZxNNW299oGaI+mDu/OVfuOz9L2Prn7agJwymb76T8swimXVdtJ65Cb80j6H62NksSiKJL8tAgCQrSFXRRKdcId5Uj5XNM3XnFgLfZ/g3Syf0yjOLNJ0wQKxhqYWDrKrge9Sv72biT/eseI1167ooTc2jJPZ9VgM/IDc8gVF/mIxDIx5zRJmZiDUlVMGdIL9jC/ldW8lvv5/yxMgBlXkhdMTen3hnT2jcuMJ+nlnBLRYQioydX8StlFB0A1nXa426geeFImurnVFWauPYQlZCfyQjRqKnn9KekdBnqbGJ8tQ4sZb2VY9V11rP2c9/IkIS7Nk2Rm42x7oz1tO1qac6Yv3IkGQ5FA8sFcJARkgYzW0k+9aT7Bkg2bce3zRxLWtVbZEjhaRqtRvlg1HTddj5bFXYMMAzTdxiHiefI9k3iN7YjJrKhK+1Zx1I0hIdIEnVwumwx9E0U342t+q6SqGCkTDoGOxE1RTyw5O4ZZPczjEkzyGwLYSioqbSYRAYBCDkcArJrOBaFr7rMXP3NnzbXTXbF3gebnn536IQAlnTUZNxmk5cv2y9bGi0nr4Ju1jBWlxqrWFHmZnHJB//+McRQnDllVeu6XmizEzEmuHaNtbsFNbC7JLlTj5HyfVIdPcj68vr7rKmoTc0LxnblTV9mXLu/ljZ+ZoVAUFoBoltkewbpDiyEzu3SLytE7e4XE0WQK9roLy3J6a5DaFqxLt6KQ7vJnBtnHwOz3cxGltQUpkDCs+lmzKkmzIMnrXxQG/Pw0dIeFYFhESydwBrbgZz7wi5EKjJNGo6gzU/i5rOHDX9M5KqkexbT3FkJ769r0SkJJLoDU1hpgnA82ulRSefxcnnUFNphKLglkuYs1Mke9ctOXasvQseZ4JsPSf28dff3Lniuo7BUGDxue94IaM/v6G2vOXUDfhOhWTvINbCDK5ZIdbSETaj+x5OqYg5PYEci6OkW1h4YIhMbzsA9Rt7aTp+AFnXkXUVq1Bi5I9/QcgrB5BCklBjGh3nnkS6p425LbtxKxbpnjYy/R2M/O8d9F54Ftvu3LJkv1R32yF5fyKWkssWWJhfpJAvkkonaWisJ1OXOiznvuOOO/jiF7/IySefvObnenx9C0QcXnwPa3FuxVVuuVi9ca18w5V0DaO1Yz/fpANnGwRhOUurb8CcnsScnSLW2oHveaT6N4TuvpKE3tiMNb80uKpp1HgeRnMbCCiPDRPv7CFww5uvnVsg0TOAkJUjpqArApD1GLIRx5ybwS3mkeMJjKbWcIPAx3cclFSKwu7tpAY2HBUBjZAkZN0g1Rf+HnzPRZJl3HKJ4sjuWpmoMjVBsqd/vz2DJePxYcYsCG0OYvHQi8uxEb4HHF5rhiOFUzFp62+jvr2BxcmlGj0IwZNffgHxVJyRn9+AnQvFJZOdzTQe14OaiGHNzyBpOkYiRXnPCL5tIWQFvbGZ1MAGSmNDCCEIfB+7WKHvmU/Es2zkmIEkCazFPE7ZZPA556Os0gAMocqzEtdRkuG0Er5PaXqe7M4xui84k4lb71lSHjQaM8tKVhGPnqmJGT703k/w55vuqC174vln8aF/ew9tHS1reu5iscjll1/Ol770JT760Y+u6bkgCmYi1gDPMvERYY/MAUoeYSPnyn0ksqpjNLagZepxC3kCIaHVN1JZZWxXq2/Emp/BaGrF1hbC6ZjpCYSsoGXq0BqaEbKM3tgSujPbNp5ZDlV8gcC2SPb0Yy3O42ZLJLsHlngCiapdwpEKZDzHxnMstLoGfMfGnJlETabR6huXqBtD6C8V6+jGXpzHaGk/KnQ8QnFBHd9zkXUDa246tCjYD9+xwkbgZBq3mEcoKnpDE7IRq5UJZSNGqn8DgetQmhgl0dlL8ChHswPfx7dtAsLynZDksPfjKMR3POzZBV743pfwp+/dxPbbt+J7Po1dTZz/8gtpaGtA1yQaN/Xjmjb1g93IqsBamEbLrMezTORYnNLo7toxA8/FnJnEMyskuvoIhEz9hj4KY1MkO5tJdDTjWw47f3EzrrmvxJdoa2LwBReuamkgaxpGOoGTSaIYGon2ZoQkCDy/piQsJEHDcX10nX8GinHo33O/OsofBEH4d3AU/24PNblsYVkgA/Dnm+7gQ+/9BP/22X9d0wzNFVdcwbOf/Wye/vSnR8FMxLFD4PtQdbUuju4m3tMfyvQrCnp9E4JwSihwndo+4iBGh5ISqtsqRtXZGbCN2DLjSDkWR0kkKe8ZxS0VSfatxy0XsbOLCEmg1TeB71OZngi/zHUj7MVIpChNjqFnGpBUFc+20BubiSkdWNkFgv16M7T6psPiKr0ageeD64Ki1ewP9KZWiiM7lwWM5uwkCaMfp1xEd13EUfLlLYRAicXxbRutrmFZMANQGNpOZvAEXMtEEGDOTGHOTCIUBaOxBUlVKezeti+bMzlOvLt/2XEeKp5t41ZMPMvBc1wUXUWOhZNhygol0CONkAUN6zqwKhYXXP5UznrOOXiOi5EwiKViaDI4i1Ok2wyEmkbL6JRGh4i1deHbFkZLG6XRlQUJnXwWo7kVIcu0n30Cpal5zIU8geOy+5dLAxmA0tQcozfcycAlT0JeYcxbkmWURIzixCyz92yvLY8119N+zkmkOpoJAhc1kQhTq49CETi7mMN1PAr5IvNzC/zpxr+gaSpPfcZ5NDdmiKsSxZKJKyvYtkexUMS2HdKZFOl0kqaW5Q39xzoL84vLApm9/PmmO1iYX1yzYOa73/0uf/3rX7njjpXPvxZEwUzEo8KzzFCFVZaR9Bjm9ARCSOCGk0upnnXYuQUCIFG96RSHdiDp2sOS4RdCIKkqid51uMU89mKYYtfqG1GTKTzbQigKgetS2LUVNVNPvLMXSZFwi0VK48O1Y/m2hVPIEe/oIdbWRXHX1tCdW1GId/biey56pp78rq0AKPFkTYX4iBEEOKUCeiwRmlsmkril/KqZL3NmEn1v+ekoYm+GJhBh8+/+E2ah2nMaa3EWJZbY10tDKJZXmZ5AKRWJtXaEooGE5Up8D89xHvYTt+/7WLkiu35xM+Xp8PMk6ypd551K3boOgKMuoPE9n8pslpHr78AulEj3tBNrqiPR0IVfLiMyqdDg0fdJtnXiOw5IErIRTvYJIZZLHuyHZ1ZQEgpqwiDWVIesqThlE7eysvnqwtZhus8/Y8VgBkCNGXSffzoNG3qY/Mv9uBWLzLpO0t2tSLKPbKRC89GHWL6tFMuUcyWskkUsE6dkmdz0x1u55cbbaWtr4aJnP4Xf/+pGfvDtnwPw+f/8Gn/32hfx4sufy/eu+ykXP/tC/vXd/8bw7jEA6hsyvO3db+Cc806nraUZxThyDyyHmkJ+uYfd/hQPsv6RMjY2xtvf/nZ+//vfYxiHT8gzCmYiHjGuWaE4sotkVx/m4jxGk46dWyTR2QsEYSakXMJoCpVdEQIhK2Q2nkAAyLqB73sIRC3b4LsOvht+2QpFQd4veyPJSu2fmgzr63sbiCVNJ73++FrmZ6+Jo++E5YiVqEzvIdm7HiWRwi0VkDQdSdPwHRvXrNTKOEosfuTVdQUgJPA9hKyGHkYHmAjzbBs5FjvgBNeRYm/JLt7ehVvXgLUwi5IIg8XiyE7i7V21YOXBuMU8RmNz+F7sLS8FQXiDfpjBjJ0v8sB3frtkKsezHEb+eAdK/MnUrU/gOfYRzcg9GLdssv1H19eC2NzucXK7x5m5eysbXvg0PMsm0dWP71iUxkeQ4wnSVV8yp5BDTdcd8PhCVnBNEyFA1hSEJOGUKqvvEASh7MIBUBMx6tZ1k+xqwXPcUBhPiNrn4KE+1ORms/zuS79mbmyWM19wLunOet74d1exuLCvr+oH3/k5b3v367nkuU/j1z/7IwDf+soPOOnU43n28y/mdS+7kkp53+tZXMjx4fd/iv/80sdQEDS3tyCrR9/fzCMhlV7d0RwgeZD1j5TNmzczMzPD6aefXlvmeR433XQTn/vc57AsC3kNfLmO+Dzjhz70ofBDvd+/4447rrbeNE2uuOIKGhsbSSaTXHbZZUxPryBlH3FY8RyH8p5RjOZWXLMSPvn5PpKqI8XiVY8jNWyaVWQqU3sojQ1hzk6GRomOQ2V2iuLwLkrjwzjlEk6pSGV2OpTtL5dwiwVcs4LvLRX3khSlOlmx76k5HAnVUOIJlHgCWdMRkoTvOisK3EE4Xhr4HrJuIMcSofosIGkGajJFvLMHva7hyAcyVCdEkins3CIQoNc3oRxAU0Y2YghZPSr6ZVZCVjUCBL7joNc3oaUytWZvSdUOHKhZFomePoQko6YyuJUyvm3VguCHSnFidsXxYoA9t9yDnS9QmdqDXcjh7TeFdaRwLZuJP/9txWycb7tkd+9BUhVQVWTDINkzEDqLCwmhKGHju5BQEivfxEL9Jx0nO49ixBDCBwJijXWrXpNsaA85I6boOnoygWIYKLqOrD307Gw5X+I3X/glubkcp73kXP76wBY+9bH/uySQ2cu1//4VLn3hxcRiBiefdjybThxk+7bd3HbLnUsCmf355pf+h4rjHDhwO8ZoaKznieefteK6J55/Fg2Nyy1ZDgVPe9rTuPfee7n77rtr/84880wuv/xy7r777jUJZOAoCGYATjjhBCYnJ2v/brnlltq6d7zjHfz85z/n+9//PjfeeCMTExO88IUvPIJXGwFh06BbLiHrsaoU/TRIMomefoQs47sOaiqNvThPaWwYt1wMyzu5LHguxdFdVCbHw5JRbjEUyivkEFALcEqju8nvfCBsAPZWVis9KAe7lwuB3tRCoqefAIFQ1OoXrX5UTALtRdZ0JFULBQF9nyDwUTP1qyrlxts6jroSyYNRdB0tncGz7WqQVuVgAZgAIWSS/YPE2jqpTI2H2ZlVFG33Evh+bZoKwmBmNczFPIEXToe5lXJo8Fkq4FbKuJZZ/bmInc+G6w9DsOPZNqWplacDAcrT80iyHH7kpTD7EbgubjGHWymhpjOURncS7+hZ3kclBImefpAEWl0jgeehxGLEmuvQkvFwImkFOp90KtqjULZ+qJTzJXb8ZRtPfs3T+MC7r+EJTzydv/z5rytu6/s+e8Ym+Y//91FOf8LJPPmp53LJc5/K3/56/6rH3751N7blLNO+OZbJ1KX40L+9Z1lA88Tzz+JDn3jPmvXLpFIpTjzxxCX/EokEjY2NnHjiiWtyTjhKykyKotDWtlxjIJfL8eUvf5lvf/vbPPWpTwXgq1/9Kps2beK2227jnHPOOdyXGrGXIEBSQ9PEQAjSA4Oh/04QIOkGkqyEpooPisK1+kbMuRmC/Z6i9aZWrIU5lFh8SW8LAL5PcXQX6cETUGIPX91WUjSELK8YDIm9qqeSjHIwldqjAEk3QrNNy8RHQtI0Uv0bKI0P18QEhSwTb+9Gjj8KteHDSIBAq2vA3m9c3inkl/XT7I+sxygO7whNJhWFwPORNJ3VItcgCPBtC3N+BrcQTknFWtuJHeDJVE3GkA0dWQl9uYSqYs5MYWfnUVJp4u3dVKb3VMUaVWJtnQTxJJKqIj3KJ8/8XJ7FqQXys1kaO5tJN6eJp2NIsoKWjGPnVxaX01JxJF1BVlXcSrl6fUUgQI7FQ++yuWmKwztJdg/guw5uqYik62FPmBAIBGoyWROtlDUdhMTApU9m/Oa7WNw2TOAHKIZOx5NOoemEdbUS8VpiFk0uetMl3HPPFj78qfdSLlcOKA5ZKpb51EeuZef2sNn53ru2cNwJg9zwhz+vuH1XTzuaph08kD7GaOto4d8++68szC9SzBdJHmadmcPJURHM7Nixg46ODgzD4Nxzz+Waa66hp6eHzZs34zgOT3/602vbHnfccfT09HDrrbdGwcwRREgygRAgQJJk8tuXPvUYTa3hTdd1iLV2UpkOeyDUZKrmgr0XNZXGq5Qw51d/UrYWZpE7uh922URSVRLd/RSHlzv4Jrr7CPwAgYfvOstUh482JEki0DQCIYW6Op6La1kkuvqqT+EOkqaHN99D8KXsOTb4frWqUb1xCAkhiUPWRyLJEr7jIMf3Pd1b2XlSvevwKuUlPkwA8Y7umgijOT+D0dqJ0dKG7zioK5QDfdfFty3yu7chwg8rgWVS2F0g1TWApMj47vJAt/0JJ2LNTtQMMiVNJ9m3Hr2xueZeHu/oCUd/fR/fBTNbxHdc1LiBEtNR4w8/+J4ZmeHbH/w6xYV9sgAdGzt54XteQoBH98Vn88DXf7liqan19E3oyTCIVRNJpO7+0GXc96t9YOWw7NQShNNaqoqSDJWAhRCrlnz0ZPi76bv4HLrOOy20CjE0tGT8sAQyvuOgx1QGz95IabPL5z71ZZ75nAvZsGkd2x/YtWRbRVXo6ungxFOO44ff+QWvfMNLSCTibH9gFxdefB7f+NL38FZ4sHnFa16EajsYTWtTejmSZOpSRzx4ueGGG9b8HEc8mDn77LP52te+xsaNG5mcnOTqq6/myU9+Mvfddx9TU1NomkZdXd2SfVpbW5mamlr1mJZlYVn7uu/z+cdO6vBoQdI04m1dBJ4fpvkfhDk3TaK7H2thFrU9HQqerdYoGIQZFN9ZeWICCDMPQfCwn5yEEKiJFOnB4zHnZvCtCnIihVHfGJYLKiWELCHJKkJ1kSQJSVEPy5f0I0EICVlVQ7EzAN/FzpaQdR0llUE5BP09nusSODbmwix6ug5zfjYUrxMCva4xDFSFe8g0dwLfR0hyrREb36c4Nky8ozssk1RKSLKCkkxjL87VMjZuuYwAlEQKSdOxC2Wcag+MmjBQDBW3XCbwPdIbjoe9fkayBEE47r7xpRez40fXL5nWaTl1A+muBqy5idoy37YojQ+T6OqjPDEWfpaFIN6zHs90Gb3+DjJ9HcSa6nBLJnJMQ6/3UGN6+PvyQl8v33EQshw2tz8oICzM5/nu1d9cEsgc/9ST6Tqtj09e83+ZGJ/itDNP4jkvuJjCrfdSmQxLTkKS6L34HHIjkygxveZvJKsaHMLmZTVmoMYOf/9YEASgCvL5Eql0ii33biOXzfPOf3oz73nr1biuh6apvOofXsbJpx7P0K5RdF3jqn96M9/+6g/JLeY57ayTCIKAL3zrU7zjjf9MsWqdoCgyr3zDSznjrJNQ8+UlflFH4nUG+w1APNwesMc7RzyYueSSS2r/ffLJJ3P22WfT29vL9773PWKPoKwAcM0113D11VcfqkuMWAEhBGo8SWnPyKrbWItzaJkGXLOC3tSCOT0Rjn7GE1W34/CJN/AchKYhG3Hc4sqBp5xIPuIUsJBllFicRGcPvmPj+354A61KuYfNsmFpwKtUcAnF9B5tuWCtEELUmpJl3SAgQJIe/bUGQYBvmbUneaO+ifzubfsaqIMAa2EWp5ivlXgeLUJWgHCsPtbagVPMYy/OE3gednYeo7k9zCqUi5hzSxv/JVWtTsipZHfuYfh3f8azwmk2xdAZePZ5JDqbkCVBZWI8nICT1VCzSJaQZIVYY4oTXvlsnGIFp2ISa6zDLS4uCWT24pVL4Pvo9Y2Yc9MoiSSBGzD6v3fSd/G5eLaDU64gkMgNTaBMz9OwoZcgHhpp2ovz+669munZv4k7P5tb4rs0cNYG7DqJ17/qnbVlm//yN6776g/50nf+gw1PPh23VEZLJ5nevIXF7aNYuQJ9Tz/7YckeHC1UyhUqFYt4IoZhLG3uNy0b23KYnwtH6PeMTfLrn/2R6376BfK5IulMim986bt86bPf5A1v/Tu+962f8Ysf/652jB3bdvPLn/ye//v1T3DdT7/A3Ow8ZsWis6sdXZaJewGxrtYjNskUeB5OqUBpfKQ2kenKKgHKUee1drRy1H3i6+rq2LBhAzt37uSiiy7Ctm2y2eyS7Mz09PSKPTZ7ef/7389VV11V+zmfz9Pd3b2Wl/2YxK/e1ATV/pIHf0GKcBplNfSmVmRVwy0XEUIiveF47GIeo6UDr1JCSaYJXIfK9ASJ7gFiza0UVgpmhIRe1/CISydutVyC74cpdUnCymdx81nibZ1Y8zO4pWKoENzUimLE8B0bST76HKgfjJCkg/Y4PxT2fpmW94ziOzZ6U2vYZ7TCJJhvWzil4sqfiYfJXv0g33UIAh+trgEtUx8GrkICz93nP/UgQhE9jfLMArt+fuOSda5psf1H13PSa56Lk59Bq2tl4s4t5IcmkA2d5pMG0dJxhCSINaaJNaVwdk8ia/VUcvMrng/CLJJUbQzX6ttxKybdTzmdqc1bcMsmmf5OEu1NpBUZNR4L+1skCcnIYHSkCVy3ahcQYC4sEmuSq6q4HqXcUt2PTU89kde/5l3LrqFSMfnQez7B1Z98Dy3xOFu/85vauoUtQ3Q+8VT09Np/tQdBgOc6NWmFRxr8L8wtMjYywfeu+ymL81nOeuJpXPD0J9LW0YquKiAEmq7zl9vuobc//B5PZ1K88KXP5qP/9Glc1+MZl17IL3/yBzRd46RTj+dLn/vWsvOUimW++F9f51/e+ybErffTvq4HZc8sHgHqxn6U2JFrmPcsc1kp3HedsLgbBTMPiaMumCkWi+zatYu///u/54wzzkBVVf74xz9y2WWXAbBt2zZGR0c599xzVz2GruvoR/kkx9GOZ1lYi7PhU7IfoKYzxJrbCBQVpXoDCwjNAvf2FexPat1GrIU5Sov73xgE8c5uJF0LJ5jKJcqToXhVftc20us3kugZCNP41acTSTdIdPXVbiCP5HXs9YiyFubA9xGygtHcSqKrn/yuB/bdsB0ojw+jpjPoja34inpMPuE+Evb/MjVaO9DSdRSGdqy6vZNbRE2lOBRfIXunxhzXQao2oYZ+oT5IEvHOXsp7Rtnfn0tvbA4zI57Pnj/dvfKBg4CZv22n+aT13PeNX+Db1bR9rsjI9Dx167pIdbexuH2EriefBp5/4L4pIWqTekJW8T2P/OgUYzdsrm2ysHUYvS5F38XnsOW6X9FyyiCNx69j509voG59F80nDRIIgVMOJ6A8dx4trmEXLdJN+7yJYuk4k1MzOPbKDws7tw8xPTVH0FhP3fpusjvHHtJ7fagwcwWK4zMsbB1Gjmm0nrIRLZ1A1lXkh9FMn8/m+eF3f8FnP/nftWW33HA73/zv7/H5r3+Svr52sC3q6xK0dbTS0tZEb38XL3zZpXzu37/C/X/byjv/+S384LqfAbBx0zruuvPeVc9368134n/E4LiXPoPKQg4tGUdLxVHjsQN6Ta0lvu9RWSVghyDsy9prxxCxKke8MeBd73oXN954I8PDw/z5z3/mBS94AbIs8/KXv5xMJsPrXvc6rrrqKv73f/+XzZs385rXvIZzzz03av5dQzzLpDiyE3NmKlQT9Vzs3CJ2qQCug2dWwmBnfhYtlQ6foPdDSWXwLXNJWj0kCG9KnoeaTFHZ3wXbd8lvvx+nVCTVP0h6/SbSg8eT7BkIsw8r/CF7nodrWbh29Z9lLtOkCXyfyswk9sI8en0jiZ4B4l29CFXFc2z0prZlwnJOPhwRP5BS6mOFwPPwrNDHCkCra0BIMk4hv6orMoQZIbdcPmQpcFnT0VN1SJIclvyqRpSuWUZJJElv2FT93fWRHjweo6kNWTfwbJfK/L5snhLT0etStbKhlk4yftNd+wKZ/cjuGseoS7GwdQS7UEZvasYzK6sKy+n1TRAE2IvzqKkUnmkvCWT2YmULzN2/i4bBHqbu2MLC1iESbY1M3/kA277/e5xCmW0/+AMjf7wDp1CmOLHA1u/+Ftlz6T91AAgzVu4KjclLCAK+8v++S8OpG2qLGo7vR42v7U3ZyhXY+p3fsuvnNxHIEtK6LraNT3D3vdsYG5+mmF/ZmX4lZqbnlwQye5mbWeDaf/8yi9kiciyOpKgMrOtmy73b+M8vfYwNm9Zx/99Che50JsXcbFh+CoIA6SD9boKAWGOaphPWhX1OjXVHNCsTeB6eubLnHFSD+ig7c1COeDAzPj7Oy1/+cjZu3MhLXvISGhsbue2222huDnUN/uM//oNLL72Uyy67jPPPP5+2tjZ+9KMfHeGrfmzjlktL/I+M9m7S6zehxpMErktpag/m7CRaOo3r2CR7B5D3q/3Hmlsx52ZWOjQA1sI8khFbMViw52fI79iC59iUJ8bCaZaVAhnLxCsXsRdncXJZAscGP8CuCe25YSOrH06zJHsH8G2b0uhuSqNDuMUisqKgZ+pJ9g1Wxf32PZU7xVzoN/UYJvA87EIOp5DDrRp46o2tSGpo6KjXr6wtEm7XTGVqIhQlPETsLTlJqoqsqKjJdCjilg/7SOR4AjWVRtKNmmCirCnEGjMk2kPTw+4LzqTllA0MPv8Cui88k2R7I9ldyxvU95IfnSLR1sjCthH0hmbKE6PE2jrRG5r3fe4kCb2pFb2pBTufRWtsRUk3o8R0Tn79CznhlZfSesbxS467sHWEunVdAExvfoDG40IrD6dYIbtrnLp1XTjFMrt+fhNyTEdNxCiNTPDsN1/KyReeglky6enpWPXG3NXTwcJ8lt27Rtn7G1ATMTrOPmlNs4m+6zFx231Y2QINZ2xiTJf4uxe9lde85O28/uXv4MXPfC0//v5vmJ1efTJxf/588+rePTddfxvFYhkRAK5LrLzAKSetR1WVJcJru3cMc+IpmwDYumUnp56xupbJky88m3QmhazrR1GmQyCry4Mpwd5c5NFynWvHoXgoOuI59O9+97sHXG8YBtdeey3XXnvtYbqixze+52Fnw6ccoemk+wexc1k8y0Sq6m3EWzsIPA/fcVBiCcyZSeKdvWFTrRy6Dh+olybswznwH6gkSbiVchhgPOgLPcwc7VpqOCkEia4+FCMW+hI1NiOpGr5tE2/rojCyM/R/MWJ4toW9OIdbzIcTM76P59gku/spjuyqiq8JkI/4n8eaEQRBOFkjSciJJMm+9QhZxl6Yw8rOEzgOyd51KPFk6H+0H3pjczh9FI/vmxBaA2RNQ9Y01PjqsuuyptL1lNOx5vPs/uUtePuVZVI9bTRsCP25fHflwFTIovpFKjDnZkgNbAx1burq0ZtawhKkJNXUpIWaYOK2+1jcNgySoGFjH43HD5DubqVhYw8PfDvsXwk8D6TwM/7g0e/FXWO0nbGpVhqauv0+ui84AyHLbL/ulxx3XB9nPO1yAl3hzVe+mms//ZWlr1mWedu7Xs+XPvdN+ge6UWWZriefRuMJ6zBWGMF1yiZO2aQyu4ikyBiNGSRVwc6XKIzPoMYNkp3NqMnYQfWWnLLJ3L07ELKE19HIuy59I/5+Qb9l2Xzyw59j/YY+mltXD4b3Ypuriw36vh9O+BDgWSYiCNALc1h+huR+Y+8//f5v+PAn38sdt96F67hs/ss9vPBlz+ZH3/3lkuOl0kmu+qe3kK6vO+h1HU5kVcVoacN5UL+gDBAEVGybY0M16pFTLocPU+qjMMV97H5bRzxihCQR6+pDjSfwXQ+1rgHh+wQElEaH9vXISBKx5jZizW3hE3oQUBjeSaKrFyUexymsPJmkJJL4toUci+NVlqdXRVW9VG9oQoilJSbPsqjMzaAkUuj1TfiuU3PjLo0Pk+obRK1rwLcsJFVD0g3sfJZkdz++4+C7DkY1K1SZ3FMNbBZIdPdRnhxDb2zGnJ1CTWeOoie3Q4vvOHi2FWbGfD8c89YMAsdGUjViLR1Iqoo1P4NW14DR0lZTadbqGkGS8CwTrb5xVQXiw4msKOz65c34ztJMX2F0itn7dzF42dOwFgtY2SKz9+1cYmGQ7mln+q/b6L7wTPSUjmebaJn6Ffs+nJLFlm/9askY9+w928kPT9DztCeQH5uh+4IzGLthM6muVsozVVVjIWqBDYR/X8F+QWBpZp7+jicx/PvbCDyfxft3s3j/bgAuOOt4jv/qx/nK57/N1OQMx50wyAtfdinf/9ZP2bl9iA9d8y4yrQ0oPW0rNuBa+SKTd9zP9B1b9p1fkem76BxyQ3tY2Dpcu6b1z7uAVG8b6gF7RwJ8z6f17BP55nU/WxLI7M9/X3sdgxsHDupGfc6Tz+Qzn/zSiutOOeMEZFlmcb5AcSZHpqUF264gAomYq3DG2aew+fZ7yC7m+Mn3f801//XPfOG/vs7Xvvhd3vbu1/OJa/+Vn33/Nywu5HjyhWfz3Bc9k87u9gNez5EiCIJQzXp6olZSkiSJTDzJ7PQ0Akgkk4+576QgCCiXy8zMzFBXV/eorA6iYCZiCZIsoze3Vf+gBJIiY83PIMcTVCZGl2ZcfJ/K9ARCUVDiyTCjEfhUJveQ6B1YMZgRsoyazlDYvYNEVx+lsaFa4KIYsdBBt+rNozc0hZmD/bQygsBHS6aw5mex84vIqk6iqzecBtkzEo5+p9JUFueRjXh4vlic4ujQPmNCQu+iRE8/1vwsSjweZh+C0CFbbwgzD4+1Lw4IJfEDz6U8MVYLSuOdffjlOczZ/UafhSDe3o1bLuItVkj2rMecnw4bc10bt1TAaG5DUlb/8rEKRbyKje+6yIZG4FkEjh1OpikPr1H0QBQnZ5cFMgAd556MkUmx5+a7MbMFYk119F98Ltnd48z+bQfNp2ygMD5Dw8ZetGQcOW6grpKN8z2P6bu2rugebeWKVOay5HaP03fxOYzfdBft55zI0K9DtdmGjb3kdu8zzmw8ro/srn0Nu1oqQXFylo5zTiI/vHQkPHvHFppPGOCqD7yZe+7awq5tQ7z7ig8hSRLXfPoD9PZ1oB1AnK8wNr0kkAEIXI+hX/+JDS96OovbRxGyRNMJ60Jn9kIZ/AA1vrKejKxr1A10IhJGzXl6JcZG9lCprO6vtZeOrlYuelbodL0/qqZy5fv+gc998ktc8a7XUyiUiDelMX3BX279K7/75Q286e2v5itfuI5bb7qT6397M7t3jvCP734DfQPdaLpKXV2K8y84B8dxSaYTa+YJdChwC3k82yLZu66mVi4kCWVuBscxmZmdQcytbmVxrFNXV3fACeWHQhTMRCxDSBJ2Po+WTlMc2Y3vusR1Y9XSUWV6knhnT61WrzU04rsuyb5BypOj+FUBQyWeJN7RjR+EGiHlydGwV0VAZWoP5sxkOIZZ10ispQ2hLJWG930fz6xQGt1dW+Y6DsXhncTaOkkPbMAphiURsfd/goDi2NJABsAzK9jZBdRUGrdcCkdmFSUMzKpGfMfiJFPg+6H3kO+DEEsEAH3HxndsSmND+Hb4O5E0HSGJpYEMQBBQnhgl2bc+LOlZZpiVIQhLS5IUqgE/qPk77FXycAtldv7sxlp2Qsgy7WcdT8NgO/mdD2A0t6E3Nh8S/yv7QSPNAA3H9YMQ7P7lzbVlhdEpCqNT9F/yRBqOH8DOFpB1heZT1qHGQwuO1XArFovbV3ZfB8gNT5BobcSzHDZc9jQm/3IfTqlCuredphPWseMnNwAQa64n0d7ExK1/q+3bcc5JFEYmaT3zhJWPff9u1g320PD0J3Lqacfzwpc+i4bGehrq0+gHEHkzc0Umb79v1fXZXWM0bOqn6YR1zNy9jR0/vQGCgHhrI30Xn0O8pWGZ7oqia3RfcCazW3azYdM67rj1rhWPPbC+l/hDEKBLp1P843vewBPPfwLXfeUHLC7mOP0JJ/O6N7+C6397C3/4zc0878XPYmjXCA09Tbz/yo/VGn/vvfsBLn/NZbzy9S8lmUygyTKtHa00tBx7Kr5yLI45Nx0KQgqJUNUxzNDUGyqJ/gH8x2jvjKqqhyTQPPa+rSPWnMB1keNhCcgzK8ixBJ611E1W0g0kRcV3LHzbDv/bMpGMGEoiiVsqojU0kuxdXxt9DoJQGt/NLWC0tFedkwMKO7dRG7sNgrCfpVQg1T+I6zgIAjzHRpJVyhMr31Aq0xOoqU2oqTS+ZaKm6xBCwq2UVnXNtnOLGE2tVKYn0BuaMRfnQ1uAqhbN0UgQBDWbAd+2IfCRdCMsZVQ9iLxKGUk3UGJxPM9FeFWVXUAoypKm3b0CcKvh5LOoyXQYDAYBXqWMUBS0TAP7d8t4toVbcQgCD5B44Lu/xSnu+8wEnsfEbfeixHXiDYlaKe/hBDOe6+IUK/iOi6TKqIk4sqqQWMEEsenEAXb8+H9XPM7YDZs5/pXPJt6YQta1h6T4LCQJWVu9ni+rCr7nISkynmXTuKmf7qecAUIwces9pLpbaTq+H0lV2f2rfUa6zadsIN7SiCRX+8yqv8elJxfEGjIEMwvUFS2mN2+h3N9J/ZNOwfK8cAJMEqjJeC2b6FRMfMdd1ccJwM6XaD/7JHb94qYl25Wn59nyrV9x4qufQ6J1eZnIaMjQcsI6Lmur53vf+umK4+NveNvfU1+XxrPtWmM3gOu4zEzN4XkeiiyTqUuT///snXWYHGXWxX/l7d3jLpm4EA8JCQkJEtzdYXF3d4dlcbeFxd3dAoEAQUNcZpKxjGu7lHx/1KSTyUwC7MIu327O8/Dspru6qlqm6rz33nNOZ4hXn3ubk846Gp/PQ11dI6ccdUE6ETul66xYVsXEKWNZtnhl+hixaIxH73uaR+97mvOvOI0DD9sT5z8RIfFngOz2rM+Q22jh5cwtRPmdIkr+m7GFzGxBH1imgahq6ZucpacQe6btJacbZ16BnbuUTKD6M3qcWCHR1YmnxFZtCJJEpMYOeVMDmSheH1ZSR49023bugoip6z3H6DtEaiYTdsXENO0bjWXaA4Gbsvi2LMxkHEuUMGIRFG8ASxDSFYhNvcYyTSSHC7BwZueR7O5Cy8hMO+z+p2GHJCbtaotlIkgKlp4iXFPZKzxTzczGkZ2HKCtYqmb7oaRSpMLdgIDqC5CKRTHiUXwDh9lKLcsEBCSHk2RXR+/k6h6YqSSy108y2I2WkWnfsCUJUZaRVBXTNEl2h2j+aQVdlfVofg+5Y4b0IjIbouGbxQw7YCZGNEKyswPJ4dxsRWQdkqEILT+vpOm7JRiJFKIikzd+GPkTR+DI8OHM8hNrt29+giRiJFJYRv8kVo8lMJM6zozNz3NsCMXlIG/CcNa8N6/f5zOHDaDp+yWIk0ay+qUPsUwwkilKZ02keLsJtC9eTawzhKcgm7Ltt8ZM6WgBL11V9UQaW1HcdrClI+AlvmFysyAwcI/pNoGTZSSnyvDDd8NI6YTqmmmcbyuLXHlZFG4zGndBNqmI3SoK1jbhysskWNPY7zn7yguJtnb2T3gsi7rPf2DQXjORHb3bgaIk4swOkK/J3Pf4zVx5wS00NdjqxUCGnwuuPI3S0kJCa1ZixGOIioqroISEILN00Qru/uujLFm4nCHDB3LKGUczaEQFzU2tXHDa1X1OQ9NUsnMyWVvXyPIllWRmB2hr6eiz3RsvvcdOu273/5bMiIqKd+BQwjVV6Uo2goAjpwDVF9hCZH4FtpCZLegLUbTN5TZoT4iKguRw4czNJ1y7GhBwF5chaVo6W8dVWIyZShJrrO+lNJJy84nW1/RRxbiLy/ukam+IVMiWR6eCXbZ5Xg9R2hQsCwTLQs3MQexZ5WwoGd8YgqJgYeEqLLUdib0+FEH83WY5/lWYPf4Tkdo16wMXBRFHTh5aVq7dlutBsqMN2eEi0dWBlpFFsr01nWEku9yIqoqkOZA0B7HmtagBuxUoKQrhuhq0jAzcJeVE6qp7nYPkcCE73cSaG3Bk56L6Az1VCpvcJrpCLH3yHfS4fQGWNIVw46ZluXo0jtVTLrdnrNYTWTuw0c48EkQxLde0TJPGbxfTtMHsh5nSaZy/mFQ4SskOWzNk/+2p/exHOlfV2sntm5nlAX7zzUFPJvEU5lI0Yzzxti66qxvSg8SZQ8sxEgnKdpxM25IqBu27g+3Ka1k0fb8UX2kBDV//nN6X5FARJYlUxP4bqdhjOqKmIioSww6ZTbSlk+7qBlSPC//AYsyUQbyzG1lTcWUFQIBwfTO1n36HI9PPoH1mYsSTRJrawDJx5WWRisaRvU7KdpxMvMMmtKau0/zDMsINrUiagq+sAD2eZKvj9kmbsrUurqSppzUVqmvGTKbA0f/fg8frYdI243js+Tvp6gxiGAYZmQGyA24SdVUYgOHwElbc1K5ei8OhkZ2TxY13XcaC7xdz81V3cdbJl3P1TRdw631X8ZeDz+4TAnnquX9BEAQWfL+YQ47al8Sm1E8WmxxG/v8AQRCQHS58FUPtvwHLsh22lT9vTtyfDVvIzBb0gaSoGPEEWkZ2WqZtRw4MILRmJYgivoqhxJrq0x4gCAJaRjZadm4vIqN4/aQiYfRYBEdOvu3a2kOUjEQcR3YeqX4qAmC3RDRfBorHhx4J2y0V1ZZb90GPrb8gisjrWheS3VKRnO5+XYpdeUWIigqmiezzI/3JUrPNZILQ6lW9y86WmZbCi5q2fhUHxFsbcRWWYaYSpIJdaNm5djvINOwMpJ4gO0dWnh106LBt9N2lA4hUr8IyTbTMnHQqtSBKqIFMQqtX4MzJx0glsVJJHFm5gN3KaJj3c5rIgO2jom0moVd2aAg9lTjF68dI6MS7wqRCUWSnhqTJYKbsap8oYiZ1TB2af1je7/7alqymcNpYJAkKJw+haNpWCIIEoj2saiT6/la0gBd5EwOum0IqEifa2kG0qQ1BFCmfvY1tQ9DjCiw7VJp/WIorNxPFqVE8fRz1c39EjyUQFRlndoBYWxcARjzJulu2qMjIDg3V7STRHcKREaBzVS2iIpMxtIzaT75N++QIosjg/bYnFY5R/8VPaH4PZTtsTdXbc3sNJiseF4P3m4U3P5uVL39MomemSHZolO6wNe7CHLJHDUKURJLdYRq/Xoip6wQqiskaWk7G4FKWPf2u/RmJmyd9kiRRUlZESVmR/d6SCYKrlgGgOzzUdSXoaG3kvjv+zupVNeQX5nLsyYcydcYkbrrzcs464TLu/OvDPP3a/Tz+4t088/jLVK5YQ1FJAfsdsjsZWQHuuPFBnC4nAypKCQX7zkcB7HXALuQV/LIU/M8OUVHta9IW/GZsITNb0AfrWiyWaaFmZJHsbMeI220lS9fxDBjct9LSE0II4CwqJbbWnm1R/RlEG+vxlAwg0dXRK2dHcjhR3F6UQAaprr6ERvH4CK1Ziezy4MwrxDJN3MXlts3+RnMF9s3d0eNW3IWoqvZNXBDxlA4g1txIsrvDXrUrCs78IiSnGwF7+O7PBiOVJNnd1ad/vg6Jtma0jGxiTetVMmYqhaAoJDta8Q4cBqaJZeiIskKspYFUsBvZ5cZZUEKspRE9HESQZLSsHHxDRhJavQJ3sZ10LjldOPMKiaytxZFry1njzQ32DNS6c0wk6VhR3eu8kqEIitOB7NB6kZx1yJ80HCMWRHQ4QdRY9cZnhGrX/yacORkM2mMaseZqBFFCySwi0RHcrIFhKhxDznCRbG+ylW1mikRnBxW7TWXV65/3+q2IssTAPaYjORRM0/hVAZ2JUISqt+YSaVhfcepYXk3GkDJyxgxm7Zc/EV67ziSyiqyRHeRPGE7D1wvxFuVipFIM2HUay1/4oLcTsSBQuv0kFI8T0zQJ1TaRDEZpXbiK4YfvSsNXC3sZ/uWOHUrbokoyh5djpnQKpoym+sOv+yisUuEo1e9/Te64oRRPH0/V23MBO69q9btfMvLoPZBUhdpP5vfaf6iuGS3Dx+B9ZlK20xTAQvmNKdKWYaTNMOOKi1XLl3HjFXemn29qaOGmK+/ioCP24uCj9uXoEw+hYlAZKV0nvyCHcy89hdbmNiygvraR+y69nTVVNVzz14tob+9ixFZDWbpoRa9jDhhUxva7TE/HrGzB/ya2fPtb0C8kzYGp6zhyC9Aysmwvl3X+B5Lcp2W0DonONnzZIzAzc0h0tSNIMqo/QDLYlW57rIMRjxGuW4OnZEAfMuPMK7S3tyz0SIjQmlV4ywdimibetJFfDEnVUHwBRFUjUlOFIyefVCTUO6HY4cRTMgBHbv56EzRJRvoXDJr+cJj2DNCmYCQTfVZwkuaw/Sqy84j2yNTBViw584sAAUdOPqHVK9MkyTIMYo31pIJdeAcMwTINvAOH2e0/y/4ekqEuFKcbT/kge2jbNEmGo1iG1a87c/0XPzJwzxlUf/h1uiqAIJA7ZjCBgQVgJHAGcljz/tfEWjtxZgdIhqMY8SSx1k4q3/qSil23xkolaPh6IdkjKzb7UYmqhLFOneVwkwp22m1Dt8TII3elfVk1sfZu3PlZZA4pQfN5sFIp4l2dqD4/kubYrHKtc2VtLyKz/vEaMgaVrH+PPWhfUkXumCF4SnIpmjqW7ppGrJTO0AN3shVV9S1oAQ/ZIwchu2w1WfeaBgIVJenATElVaF+2utd+/QMKWfnqp2T1fB6qx9nn2OsQbelA83tIhqKoXhfJUI+fk2WrZOId3f06Iyc6g7QtriJvwnBE+Z+wJ+jZXnZ7CIdj/UYVALz87NscePjeZOVkcNsN99PdFWT4qCGcdtax5OVms6JyNd9+9RMzdtiGcy49mWcff4Wfvl/ElTeeT2tLGx+8PQfDMNl9nx2ZvO1EfL5NGytuwf8GtpCZLdgkRNlORTZEEUdeERg6oqymbxz9wrKwdB1Ttx1kLV1H8WcQXlPZ7+ZmIo5lWbhLK2yljCgiOd0kuzt6ZztZJonOdttaPpCF5HKDKNgtJ0Ek2lCHqDnQ47E+mVBmPEZozSo8JeUIioo9P5D6t5AZU9exDN2umkiS3d75FWVky7I2G64pqdr6OZoeOPIKEYBQdWWvio6ZTBCpXYN34FA7D6ufao9tomfYLsDdnaj+DFumrqrILndPWzBJIhahfdkamr5djK80n8xh5bQt6v3dxtq7qf7oG4YcsCOmrmMmdRSvC9mhIEoiSDKpUJTMYeVkDCkl0R1OO9fWff4jsbYuLFNEkBQijW24cjJw52fbMyEbQcvwoTgdCIL9ngRRSEvr9UgQIiEyBmSQNSQfLTvXTqg2LQQBtIxM21slEkLx+Po1nUtGYrT81H+LC6BjRTWBgcW0/ryy1+ORxjbKtp9MMhhGlmWq53xP688rGXboLmSNHIgoS4QbW6l88zPKd5qC5vMguxxkDC6ja81a28Rur+3Asgeau6sbbKM9yyLRFcKZk9Gvt86GsAyTSGMbjqxAmsx4S/IQVYW2zUi2O5avIWfMENTfWJUB0i7bgiiRiMc32RYyTZM1lTXUrKmnu8seeF62eCWnn3AJdzxwHdvMmERzUytzP/2avz/wbHohddGZ1zJk+EAuuvJ0isoKWbmsirmffMWRx+73m891C/67sIXMbMEvQuoxsTN0HdnnS8ssNwVBEkkFuzDiMVxFpbaj7waKJcXrt284lkUy2IWZTCCqGrLLTbyjjVRrY7+eNkYygauwFAGQe6THtoubiR4O4i6tIFJf3e85WXrKJhQI9mxJQQlGIpHO+PkjsC5fasOZIFHV8JQPQt7MYDLYN2XF7SEuiP2SDy07L602EyQJZ34xCKI949Rva8oi3tbcJxVacvtQvFlEW7voWt2EuyAb2RPANCyMSJREOAoODdOEaHeExqpGsouzKZg5iaYvf2TAzlMJVjesX/n3wFOUg+RQ0FRnH2WYHo9jJFPUfvpdeggWQPW5GbDrNKrenksqFkdxSqheF03fL2XgHjOo/uCrXpUIxeNkyH7bI2my7fisahjxKJK23h4ALBAlHLm5GNEogiRjppL28LQoIrm8qF6v3RrZiMyYhmErnzYT+Gjqhk3QNoLkVEGw53NUr5thh+6CkdIxkjqti1aiul3Uz/0R2aEhagqyU6NzVQ1ZIyrIGTOYlp9X0fzjMizdAEEgb9wwnDkBCqZsRffqtZTOnGj7KPUn5cb+TSAKKG4HkSab3LtyMymbPcUewt5MDMW65/REElX5bbcIUVFwlwwgXLsaxy+ENzrdTox+Pts7bnmQex+/hScfeTFNdDbEymVVPPXYS1x/+6V8/sk3HHXcAQjG75cRtgX/P7GFzGzBr4KkObAgPfy58fDpOthDnUkQJVsWbZp2NUQQbIlmUSmpYDeJDnuQUvVnIjldmIaBmUraVQuHC9WvISoqseYG29XX7cZVWEa0obbnJgWCrOAqKE5XMATYpKcM2KosSZLRIxG7bVUxBFPXf1dzPDvzKGlXqAQRZ14Rjuw8EMCIRom1NBBesxLvwOGbVU3ZlZcUntIBRBpqsdaRO0HAkZuP7HLjLinvWblLRJvqceYU9BsPsQ5GLGIHKPZA9mUS70qx4pW30jcwSVMZcsCOdCxbg7OskOXfV7Jk7iJEWWTEtFHklOfy8s0v4PQ4OPjyw6ibM5/ynbch0tRBd/VaJFUhd+xg3LlZaN7+S/9GIsWq1z/rRWTA9j2p+/wHCiaNRHU7SQWbKZg0gpWvzmH1u19Sst0E2+CvK4Tm8+AuyAbimEmRWFM9rsISQCBSX427xJ79SXZ24MovxNJ1O99HsDOY1KwCIs2dJNu78BVrdK1uQXJquHIyEGUJSVXQo3Hq5v5A5tBy2pZU2ee7EXEIVBTTunijqqMg4CnIoebDb0iGoxRNG0tXVR2eghwcAQ++4nxqP/sesF2KVY+bRFeI1gUriTS2o3icNH27BLAHhAftNRMkga7KOlSvm8whZRhJW54+4vBdaV5djxFLkFzbkjYpzJ84nPalq8keMZC182wlVcnMCeiRODWffkv+hBF0rqzp9/vJHFqGnkj85nmZdZAcTrwDBhNr6WTwsApWLV/dZxt/wEdWdiZfzf22z3O11WtJJpMEMnz9khmAzOwMBFFgz313wuV0/C7mi1vw/xtbyMwW/GrImsNuR1jgKR1EuLayF6FZ5/BrxGJ4yioQZRk9HkcSRdSMLDR/BuG6Nb28YmLxtSRDXfZgb9UKe4UsCDbBsARcxaVEG+pwFZYRWrMKawPDN0tPEalbg2/ISOiR8gqi1BMU2Reiqva4AptYuokeCSF7/Yi/05+BnohjWSaCIGIZOnooaAcyerzo0SiJrnY8ZYOI1Ffb2VS/IAG3QzFFW8IuCNhVKItEVzvRhjoc2blpwzzF5SXR0Wa/x03wGVFR1yeDCwKi6mHN+3YYnzM7QMXu07Esi2B1A46SAl645SWCrd3p18+tnUPegHx2PXl3Xr/tFd68+3V2P242K1/+BE9RLgN22QZLj9lzKJupPOmxJInO/m9S0eZ2SmZOQHI4EKR8BFGgcOpoGr5exOp3vkDSVFSvi/yJI5AdCnowSCqVwkjEiTXW4ykbiJlIEFy1FEdeEd6BQzGTCRIdrThzCwlWrcCRW8KqN78kf8Iw/GUFJEMRPEU5dK6spfbj+aQiMYq2HYdhGngHlROJ60iDK8grzCLe1Erbj8vAsnBk+tAyvMRae897le04mbVf/UzOmCE0f7+UqrfmMnjfWax5bx6WaWHoOqIkUbH7dNz5Wax+90tibZ0M3nsmiCIrXvrI/v41leGH7kKoromOFTUgQNaICuKdQWo//57sWRMJJVN0WTpoEhkTh1Mgy6jROKIi48rNpLWnBegrKyBY04inKJdYD+HxFOVuMLhsQ3E7yZswgnhXCOUXKiubgiAISKqGqirccPulnHDYub1Iiaap9kBvWweapiKKYi9ZtSRJmIbJ/oftye03PNDvMfY/dE9isRguWcMhSb0S77fgfxNbyMwW/HZYJpHGWtzF5YCtopFUDQsI1lShuNwIgkAqEsaVV4hpmjhzCoi3NvZremdEI+jRCIIk4sguQnI6MRPxtJzYVVyOEYv2IjIbIhUO4cjOI9nVgZadQ7ylqc82oqKCIPZyv9XDIRRfxnpjvn/647BTtxEEBEsg1rS2j9x8XYUmXF2Jp6yix8xv0xJmsHOyxHVVK13vmfcwceTkAwJGIkpw1VIkzYGrZACS04UgCmk5/cbQMnOQHK4ezxkXLT+vsh/P8jNwr+1Y8eJHFE8fR7i5g4ZVLb2IzDo0r2kiGoqRVZxN46oGBKdNWsINrYiyhOLP/sVVsrGZRHWwFUeL//EWvvJCynecTM6oCnLGDCHRHcJMJHFkBxAlEQETS1IQZQdKhoQgS8S7u3GXVhCuqSTeVI/S04o04nEs00R2eWhbXkPJduPprm6g5tPvKNpmNG2LKnsNxDqyA7S1hnj+2mdJJdaf7+hZY5g4eyqpji78FUVgWZTMnECovgXV6yJjUCkdK6qxdANBECjbaTLR5g6616wlZ/Rg1s5bwMij9yBrSBnR1i6WPfd+2q+mZcFK8iaOsFtLwMA9p7P63S+JbmASF6prxp2fTd7u01m7tgm314XH40YQBUzLZE1jM4MGl+OWZCRZxpmTQd6EYcgOjZqPvsFTaFdWaz6ez4Bdp5ExqIT2ZasxUwaBgcXkjh1KR2UtuaPWq9Z+KxKhCJ3dIe6743Fmzd6WR569HT2ls7qyxg593H4KiqIQj8e569EbEQSBd17/iEfueQqAmTtOJRyKsP3sbfn2qx/5cs78Xvs/88ITyMrJ4IfX57PNXlPxZvc/77QF/1vYQma24LdBEBAQMMIhQuEVqJnZSB4vxGMginiLyzFTSSzLslOtDR3BsjCNFMmN1EwbIhXswl1iS6hjzevlxoIk4Rs0nFjnpkPWYg21+IaOItljeKdl5ZBob2PdnI7kcOIqKMZC6CVlFlXNbgdZ62zc/jkYqWSaEOmhYL++ObHmtbZcWhDQ4zFk9+aJzIYQJanXxdpIxDH1FIIgomVmk+hoI7xmJa6iMgRJtaXXTfW9WiKO3AJboWYYeMoGYSSSJINVAAzaYwarXv2UVDiKrKmoWQGWvvd5n/NYh1XfrqBsVDnt9W2kEikEUSQwuMSOF9iM5f86bCrEEOgZNE6BaVI4aRTxjiDty6vBssgcUoYjM0AqmkB1OdB1g67KZhrmL0pLnv0VRZRtPxHfoOGkwkHbqyaVtOd2RAHR4UZxpmj5aQWh+macmX7chTnUf9E7Y8hUNV697QnMjVyEF875mcLBRWRpFrWffkfh5FG483PwFuchOVSaf1iGf0ARofpmVr/3JWZSR/W6yd96JO78bNvoLxJj2bPv48zNQPW4MOL276ezspbCqWNAEHDnZRLvCPUiMusgaQpJQ0eURO66+RHmz/sBSZbYYefpHHvKYcTjCRKrq+2h5J7fQNbwASgeV4+RpIqAQFdVHY6Aj5yxQ23TveY2ECB39JBfXZUxDYNEMIoetVuGia4Qsc4QkQwXhx6zH3U1DTQ1tNDa0s6Sn5dz7CmH4nA6MA0TSZJIxBMoqsKe+81m9LiR3HzVXZx5/vGgWyxbtJLzLzuV4049nHmffYvL7WTGDtvg8bpxCAqzDt8Bxz/ZCtuC/z5sITNb8JsgKSq6EbNbIPEYRiyKIzvPJjCpFMHVK9bPrQi2FFj1Z/TMpWyaMgiCvXrWw73bD5ZhEG9t3uxqX5AV2z9GVZGcLiSnCy0r164C9RzS1HViTWt7xRuogUxSoRBaZuY//XlYpmkHLxoGmBaJzZCuREcrjpw89EgYLfDPH1OQFaxEnFQsipaVi5aZYyuRRBFLEFEDGag+vy3NtkByOhFkOR0bYFkWyDLe0gK61zRg9ShkABLBMJKq9DvUug6iJGKZFpIsobkdaJk+SmdN+lVEBmwyk73VoD4qKICcMYPpWF7N0IN3pn3ZGhyZPvzlBQiCSNfqevRYgoLJW1E/byGunEAfEtK9ei2rghEG7jYZQTAQNA0hmbCrWZbtaOwt1fANKKArHKW7K0hjMETxQTsSW7qG9sVVeIpyWTF/WR8isw5fvTaPA87cE39ZIWs++CpdWUEQGLzPTFoXraKrcn2VJxmKUPvJt5TusDW+sgISokDOftvR3NSGLMsUFExAVVX0RBJTlsgcWoYjw0f70qp+jx+YPIqOcITTjr4onUytp3Q+eHsOC75fzANP3YqzohAWrPdj6aysY+Ce29H47SKG7LcDyXCUzhU1hBta8ZcX4sz048jyIyoComih6ynkX2jdWJZFtLkDPZHESCRR3C5waAhlTp6560nefPn9tAqpfGAptz94rU1AO7tJxJO0t3aQm59DV2c3TqeD0vJCnnrpbpwksESVvILxBKNxJEni6BMOQlZkXG7Xb5eLb8H/BLaQmS347RBEnPlFhKsrMeJxwHZBDa9Z1Xs7yyLe0ojsdCE4nGgZ2cRb+8+JUTOyiKztP0Qy0dGKb/AIYs2N9Jfj5MjOJd7aZA95xuOoXh+hNasQRBFvxVDi7c0kOzYgGYKAu7gcCwHF4/6XLo6WZWGZOpZgB2mam8qOwm7HyS4vkqr1URX9FoiShOL1IzldPYRNsNOvN6rgbCpfShAEZEUlc2gZzd8vxdjAdK1lwUpKZk1k3OwJfPz3D/p9/bBthvPFC58zcY/JyKrM0AN2TEurfw1kp4OSGeNRPE6af1iGmdSRNJXccUPR/B5aflyOZQzEU5jD2q8WEO8IgiAQGFhM3vhhxDu6yR0zmJWvfNLv/mNtXZimhCsnE8swkF1uUrEEnavqafhqIeV7zWBZZQ3XXHE7zT3RCwVFeVx7y4VkTxiGEYzSWdO/KzVAqD2IIytA1Qvv91E6CZLUi8hsiIZ5P1O430wW/Lwcy7J4+dm32HmPWQS7Q7z6/DuEQxFmzd6WWbOn4dItulav7Xc/liLx5KMvpInMhmhuauXrud+xx76zyd96JG2LKjGSKXyl+ageJ0VTx9K2uJLWhavwFufiLSsg1hmkdXElg/fejtjaGpx5hYiqRsIII6kagiyTCsUxeuwFFIeK4nGRDIYxdAPLMKif+xPeQUU4hpbz2QdfMHnaeA44bE8S8QSrV1UzedsJpJI2QbrsnBtZuWw9URs+ajDX/u1i2ls7kQtk5Fh32mPJ7fER8Acw4yEc/sJ/K5GxLIuWpjY6O7qwLAuX24VpmqiqQk5uFqq2xan3z4QtZGYLfjNkTcPAwl0ygGhjPQhCb7KwEeKtzbhKytEys0h2d/QJf1S8AURFxUptIncFu5XjKasgXLuml/RY8dtxB7GmtYiKamcHKSr+wSNIhrtJtLegZeXgyMpBj0Rs63mnqycfaPNeLr8alp00LqoKstuzyXgG1evHiIbQcvL/5UMKgmArv/4F63Mt4GXogTv2mheKd3QTrG5g6JThLJyzgJY1vRO1B4ypAEFg7I7jGb7tSED4TURmHVSvm6KpY8kdMwQ9liTe0U3bkioav1nEgF2nYSRTaedaACyLrso6oq2dDNh5G0RFxthUTg8QbevClZuBpCiYyQRdlWup/eRbskcNpLU7yBknXd4rB6hxbTOnHHMhL779CPGvFlE8tIiFc37ud9/5FQUY0XgfIqO4HekKV7/v2eemsztEw9ombr/hAe574mY+ePsz3njpvfQ2P32/iKcfe4lHn7uD7NGDqf2ovc9+kskk33+9YJPHmff5t+y2xywyh5ThzArYnjYNrax89VMqdp1GpKWD3P1msnRJJcs+/4YBA0sZM200nW1d5JQNJlKzylbkCSJmViGdXWFa1jbj83nQkgZKNE7+xJEYqRSyKrP05Y/wjBoEpfnEozGKSgp44cnXiESiTJ42gfGTRtPS3GbnMl15B+FQBFVTSfZETSxbvIobL7+DqdttzSvPvc39T9xCQbYP2eHCMk1izY34KoYi/hsziuKxBD9+9zNXnHczhmmSl5/DdjtswyFH7kMkGueTD75g3uffUlJayA67zsDpdKBqKplZAaQt8zv/EWwhM1vwT0HSHFg9GU0ARn95ST0wkgk7OE1V8ZQPQo+ESXZ1IIiiPZSq2cPDgqKslyBvBEEQMAwD3+DhmIk4pmHYpMQCBPANHmHn5Kha+qLn0Gx5s2Ua9gyNKCDJLruSIUn/UnVkHURJwpQkRMsECxyZOaRC3ai+AKovAIKAaQr2TIeiIquOX2Wa90ciGUsS6ggBFk6fC8kyyRhSlpbqNv+wDNMwOPDSQ6lfWsvPnyxAlEXG7zyRrOJsBEFAlAX0hIEv67cRmXXuwXosYedouRwogkDVWz0VGMCR6aP20+/6P/fuMMlgBNXrRugJE+0PDr8nrRZLRROsnbcAgMDIgdx25+N9Ag0BdN3guSdf49AZ2+AqysEdcBPp6pvptd2hM4k1NPd53EzqyI5Nk2P/+KE0hSLcf/vjnHnhCQiC0IvIrENLcxuPP/Qc515yEo5Mf09Q5HqIKQOf30trS1+iA5CR6cft0rAM0AyDmo/mE2vrwl9RTHddI+rE4Rxz8Fl0brBfr8/DnQ9fjyPgRXF5MYMdJHy5XHfJ7Xz52foB3MHDKrjlrxdR++l3FM+aQNeKGhwZfrodMlmGwd8feJZ3Xvsovf3PPywhLz+Hq/96IV0d3Rxy1L6srW+iuKSQhvpG7r/jcSLhKD99v5jjTz+S+277O+eefCX3PX4Tnq4GZLcbX8UQJMe/L8U+GolSW9PAqhVreOS5O2hpbmPl0ipKygvp6g5x0hHnpSt6AA/c+QSXXnc21VW1TJ0xibKKEsKhCNm5WeTk/vpk9i3417CFzGzBPw1ZUUGx1SmS09Vn3iW9ncOJKCuIooQJmMmkLd21LIxkPH2hcuYUEG3o22oSNQ1BlIjVrSIGqIEsHLkFCKKAJNvJ14Ig9ilB2xJR+4YmFtjKkz9C9SCIEpZooseiKG4vvoHDibc1EWtrQdT81H72I+G1LQiiSObwAZRMH7fZMMY/CpZl0V7fxlevfMmq71agqDJbzRrDmB3HUzhrIrLbQduiSizdoGPZGryDSikdPYDCocXIqoykyOhJHUPXsUzwZLiRfoOpmh5P0lVVR81H89O5TY4sP4P23I4hB+7Emne/xFOUi6ypRBo3XekLN7TiyAqQNWJAv3M3slPDkRVI/9tM6en8oqRpsHxp/27UAIsXrsBxxD6oWBxx/TG8c/9b1C+1f5OeTC+zT9iV/IH5ROv6VgmMZMr+TTrU/qtGLo1oWweyLDFm/Ejee7P/NhnAu69/zPGnHcHQA3egq6qe1oWVIEDO6CEEinI5/C8HcO0lf+v3tQcduQ+K045ocPg9DD1oJ4xkCklVaGlo4cLTru5FZABCwTBXnH8z9z1+C/l+H4Lq5I4bHupFZABWLV/NBefdxC1XnYWsqkSa2lEHF5NUJILdoV5EZh2am1p5781PyC/IRRQFHrzrHwBsNXY4N999BRecejXxeAJVVRBFkerVdXS0d1M4aqjdOv03Zi61t3USi8VJxhNMnzWFc066gjWVNfj8Xh56+m/cdsP9vYgM2G7GN191F3c8fD03XHEnl1xzJiO2GsbjDz3LUccfjCSLmKaFnjJoa23H0A0CWX5ycjLxbMKLaQt+O7aQmS34lyEpip3f1NbSr/usI6/QjkWIxwmtXtlHYh1vacI7cCiyx4ezoJh4S1M6rE7x+nAWlmCmdDszSBRBEJE3WKn9mi76H1miXldZUtwesEyiDXUY8RhKZiFLn34/HZJomSbtS6oI1TUx4ojd0P7NeTLta9t44oJHiEfseYQYMO+lL1j57QoOuPgQCqeOJX/CcMyUgajISJqK7NKIdIWxDItkLIGAgMPtxO13/+bjR5rbqHprbq/H4u3dLHv2PUb9ZW8qdt+WlgUrCTe2Ibsc6wdrN4IW8LJ23k8UTBlNKhyje8362RLF7WTowbNRvevDQwVZtoejTRPJsCguLaBy5Zp+911WXoyMQP3cH8mfNJLdj5sNmoapG6gOhciaepY88hpDD57dL2lpmL+Iwftuz8pXPu4VKqkFvPizMnC2djBl24ksXLC03+rQOhimiWWBI8NP3gQfWSMG2u+vRwk2Y/spzNhhKnM/+arX644/7QgqBpWtr/4J2FlUloVpGIR1nTWV/ZvlNdQ30dbajrl0DeqoCj5857N+t6taVU1UEtBjcRxZfqKqTE5uFk889Nwm389H737OFTeci7LBkPiiBct446X32OuAXXjpmTdxupxc97eLueL8m+lo7/pD3bn7g2HYZCMSjqIoCn+7/r70Z3XBFafR0d7VRya+Dl6fh8ysDI479XDeef1jKldVs98he9DZ0UVnRzcutwO3242syLjdLhLxJNVr6igoyCUrZ0v15vfAFjLzPwxTT9k3Wkn+l/u8kqbhrRhCpG5NeiZGkGXcRWVIDjsVONnV0a9XjGXoJDvbsQQBxe3FO3CorYgSBDvbJ5Eg0d6K4vGh+AN/SrdPuefCm4qG0aNhFH8WDV8v6jftORmM2AnFI/99ZCaVTPHNq/PSRGZDtNa0UL+ijrLhpax+7WMkRUFSFYqmj8VblIcvy/9PH1ePJUiGIyRDUdZ+uaDfbYxkis5VtfjLC2n8ZhG+sgJyxwyh4euFfTcWBNv4ra0LWVOo2GNb9GiCeGcQxeVA9XlQvb0VL7JDtas4i6to+24JfznxUD77+Ku++waOOv5A6j/4GiOZQvN7NjlkXPvJtww7eGdWvz2XWLtd5RBVmewRFWh+NyOP2p1YaxfxzhCegmwc2QE0r5u8glx8fg+rlq9mux2m8urz7/S7/5123Y6s7EDPWxb6yNlz83O49tYLqatpYM6HX+JwaGy/y3TyC3Lx+ftW/QRBQJJlksnNe/zEYwks06K7rbOXkd3GaG/roDQrg+yRA6lfXY9lmuibi30wDBwuB10bVYTmfDiPv91/Dd1dIeZ8+CXhcITZu88kMztjs+f5R6C1ub0nt0tEkkTmfWa7E+fkZmFZEI/F0+qsDSErMtfffimXnXMDYyaMYs/9d2bxgmW8/eqHTJ2xNYah894bnzJo6ABuve4+pkwbz36H7kHFwFK6uoMYhkVufva/++3+12ELmfkfhJFMYKZSxNuasVJJJKcbLSsHQVH/aVIjCCKK24O3YqhdVbEsWw6sqPa8SzJBMtTXhG0dUqFuHHlFhNf0DuxDFPGUVqD4M5A93j8lkdkQetSesRAUjWBt37mKdehYUUPW8AH/klnfb0GkK8zgyUOZst80BFEAC1prmpn38hc0rmpgxdfLKBlWQioUZd3tbuVLHzN4v+3JHFKW3o+pG3Zitm4gKhKKx7XJ1l0qGqfhm4U0fbuEit22Jdq2qcFolx1i2ZO7FKxpJGfMEPwDinpVXQRRoGL36chOjZwxQ9H8XpvAuF24cjZ98xNVmeLp44h3hQnVNVM4ooIrbziXm6+9Nz2Eqmkql113DvmZflb3KNKsTUizwVZMGYkkg/fbDiOewjQMu5LlUBBlARHwleXiH1Boey1hYlkmXq+b2XvMonZNPS3NbWw7c3KfVo7P7+WkM4/C7dl89SszK4PMrAzGjB+52e02REaGv9fw7YaQZYn8ghwiK37CXZqLrMjomwizzM3LwZHpR1RlcguzqW5pY5ttJ/L6i+/22bawOJ/tZ0/H4dBY8P2iXs8ZhoHT5eCM84+jenUdn374BfsfugeBjH+eQP+ziMXiJBJJEvEEeiqVJi5Dhg/k5x8WM3j4QMoGFFOzprdabcddZvDxe3OZMn0igYCPU4++MP3cY/c/w067z2SH2dOprann/n/cwheffsOKpZXk5ufg9br5+ccljB4/nLz83H/r+/1vwxYy8z8GI5kk1d1FtLEu/ZgejZDoaMVbMQRpM2Zu6/KTUj3hkLLbi+xy24F9PWVte0alnwFXQUDYjHeJIEoI/ax6FI+PVLCLREcb3gFD4E9OZtLlfdNEdqh2TlU/UDzOPkQmEU1gpAy7JWCaaE4N1dn7s4xH4oQ7QiRjtnGcL8uL+gsGZ3oyhZ7QWf1jJR8/+j6KQ2XSHpMpH1PBrqfuwTevfAWCTRY2Ru0n3+IpzEH1uEiGIjTMX0TrgpWYuoHidlI0bQwZQ0pR+7nxxlo70xlDpmmg+Xtb/8suB2Xbb41pGESa24m1djL0wJ1o/mk5q9/+guLp48gbP4xIczuSptqVm++W4inMwZ376316JFkBt8CgvWegR+JE2zrZaYepTN52Ag31zYiiQEFxPj6HE8HQCQwqpXNlDaZpImmb+A4FAdXjItXVjJaRhai4QBKJtzSRCnYBAoo/gDO3AFGWsbAwdZ2snEzc9U1MnDKWS8+6noOP2oepMybxzusfEwlHmDxtAocdsx/lA0t/9fv7LfA5NI496RAeuvvJPs/tf+geOASBrlAEZ0Mb+x64Gy89+2af7UaPG0FOQTapeAKP34Op62RkBqivbeTGOy8DoKmxBUM3GDVmeHrmJDcvm8OPOxB/hh/TMPjys/m0t3XiD/h44uHn6OoMMmHyWLJyMonH4kQiUdxuV5/j/1FwODQS8QTRSBTN4cTn9xLsDhGNxMjOzeTFp1/npLOO5rJzbuxVoZm107bcdNVdXH3LBZx94uV99vvRO58xZeoEvvniB0aPHcHfH3gWgPtu+ztX3Hgebo+L+tpGMjMzerXhtuC3YQuZ+R+DZRpEm/rxwbAsovU1eMoH9etPYuo6eiRMuLYq7Sqa6GhDUBS85YNJxuPILvcmV+mSouLIzCEc7l+6qmXlEG/vnRODKOLIySPU418Tb2tGcrsRxT+v9FFyOBFECSMWJG/8UGrn/NB7A1Ekb9IIvEMG0FjZgOJQkBSJWDDGym+X4wl4yB9YyIqvl9Ja18rWe04hf2AhLp+LruZOPnz0fVbOX24PM8sSY3Ycx7YHzsCfG9jkOXW1dPH+Q+/SXtfSo2KCd+59kwFjB7LbaXsy7eAZRDrCxJr7qmMS3WGMRJKUKLL6/a/o3sDyPxWJUf3hN5i6Qc7YIWCBmUqgR8KIskzjdzaRcednofm95I0fRvUHX9sfgyIzcI/pVH80v3dOkyBQPnsbLNOi7vMfEGQJR8CLpzAHV3YAd0EWsibbrs2/wXNEkmUkrwfN68HdU9L3AyXlxb22M5IpO9JhbQutP6+kcOpo6uZ832d/eeOHIbsd6BGZaNNa3EWlG1UVLVLdnRixKK6iUtt6wDQxEnGyczJ45vFXuOCqM5j32XwWfL+ImTtNpWxACVuNGUZBcf4f5qeSaOpg120nkZObzcP3PElLcxuZ2RkcfcLB7LDjVFre/AKAeFMHJ5xyGIZh8MbL76fne6bOmMSVN5yLEwHN60aQBDrCUeLxBJZl8eTDL7LDrjOYvv0U5n32LacdcxGmaeIP+LjypvNoaW5j0YKlyLJsDziPGMQbL7/PyuVrGDthJHfd/BDPv/0wV196Gxdfcxajxgz7p99rOBQhEo4iySLZv2IuJSc3i/qaBro6g2RkBjj6xIO559ZHWfzzMi659iweuvtJ5n7yNbc9eC1PPvICi35aRlZ2BkUl+UyYPJpPP/xyk/t+5omX2XO/ncnICiAIAtO2m8SQ4YP47ON5nHH+8VSvrqOzo3tLu+lfgGD11wT8L0MwGMTv99Pd3Y3P5/tPn85/FImuDiK1fVNs18E3aDiCrPQJQdTjMYKrlvU74Cu7vTiycxFkxR6C3QT0njDA1EaxBorXj7OghGRHK4muDizTQPH4cGTlYAki4dW2k6nkcuMtG4So/HlXL5ZloUfDhNaswpFdRO3cBYRqm0EQKJw1CVdRLl+//CULPv7J9ikRBIZsPZQZh83C0HVkVSURiRPpjuBwabTUNBPpCjNyu9F88OA71C7pO7w5bucJzDpyB5y+3gaA8UicaDBC3dJaWmtayCzMwuFxMOfJj+lstG3yD7zsUHIH5KM6Veo/+IquqnpcuRk4MgPosTih+mZGn7AvZkpn0WNv9PueJU1l+OG7EmlsQ3aoSA4V1eNk9TvzCDe0Mni/7al6ey6FU0ajx+I0fb+MnNGD0eMJOlf0fT+CKDB4vx1Y+fLHgE18Bu87izUffsOwA3cEI4YWyLJDNf8gxDqCdFXV2QaDTo2GrxcSa+tC9bkp3GY0mUPKUNxOjEScVDiEEY9h6in7fxO955JsMqMhqiqWniIVDtJtKLS2tLN8aSVFxfnk5mXjz/AScLvBMpEcGtIf8DvvWl3Pihc/wluSh3vicAwB0E2s+hbaflxubyQIDNprO9wFWaQsg86uCMHuEC6XA4+moVrgzPSj+dw01jeyenUdC75bxDuvf8xtD17L4gXLKC0v4oTDzk0f965HbuDOWx7uM3w8YfJozrn4ZHTD4KvPv+Xhe57iwadu5cLTr2HcpNHcfNcVuD2/rToTjyeorqrl3r89xg/f/kxGZoCjTjiIbaZPRJZlsnOz0HoM7xLxBF2dQSwsfD4vkXCEjvYuDMNAEESWLFzGW69+wBHHHUR9TQN33PQguXnZ7HPwbgwcXI5lWQweWsHnn3zFT98v4otPv+n3nDKzAlx8zVkMGlIOCPz43UIWL1hG+aBSps+agt/vBYRfRWYa6pvo6uxmxbIqAgEfFYPLyMnJwvUbP6f/L/i19+8tlZn/IRipJP056G6MeEcLWiArbWInKApmPNEvkQHQIyHEwhKia2uRygdtUkopaw5cBcWY2bn2MLAFWobdLgiuXILs8eLMs63r9WiYUE0Vrvxi275fT6F4ffAnN6QSBAHJ6SaVWURbZxhlzBAKJo7CqTmQVYl5L87lx/c3WOlbFivnLyceiTFpjykomsL7D75NV3MXAPmDCtjpuF0xDbNfIgPw8ycLmLzXNiiiiez2EO4MU7+8HqfXyau3vEA0uD5G2x1ws9fZ+/HOvW8QbAuy4utlKA7VbrVsP4nCmRMxYnGSnSEs06Ro2lhERSHS2L+nCYCRSGIZJuG1LYTqW1DcDoqmj8dfUYwjO4CZ0jGTOvVzfyR7q0EM2X8HFLeTpU+93e/+LNMi3hnElZeFI+AhZ8xQ6r/4kWRXCCORRETH+hW/438FzkwfjowRmCkdQRTxlRfakRGCmFZKWaZph1d6vIiKghGLorg8iKpKtKHONp7DbuOKSgrVkY0gq2iZOeQgkF+Qw+hxIwA7RiJU28jK97/BTOkEBhWTO2YImt/7u85VObMCyA6NUF0zobpmirYdi+b30NrSieb34MrPJm/cUDSfG8XlQJNlvBn9zyOZus7ypavIzc+jtaWdB5+6FcMwGTtxFPf+7bH0dhO2Hs3in5f1q6L6Yf5Cli+t5LknXuWS685mwKByVFXFNC0qV6wmGo39ZjKzfPEq/nLwmei6wdQZkzjgsD2xLIva6rWUlBWxdOFyho4cTEdbJ4/d/wzvvPYRumGww87TOfnsY6hcWc3W24wjHIoQCPg44/wTqFpVzcrlVdz3xC0s+H4Rwe4QlmURCUc5/S+XcN8TNwNsksyM33oMJSUFJJMpTjri/F4p4vff/jj3PX4zg4dW/OJ7a6hv4vUX3+X1l96jqaEFQRAoLM7j0uvPYdToYWRkBn7TZ/XfhC1k5n8ElmWhh4JIzk1fGERVA1FClGSCq5am20nu8sFpqfRmDoDs8far3tkQkuZA0hyIDhdmMoGV0gnX2G0kPRzcpFeNIEmo/qx/qwvoP4NQMMz8eT9wyzX3pP0oJk+bwFnnHk9+Xg4LPv6p39fVLq5h9gm78e79b7LbaXvz7JW2F0dTZSNfvfIFE3aZtMljmrpBLBxDdWvEO1rBssgoyOCVm3sTGYBIV4SPHnufPc7cB0+WD7CQFZlge4h4NIksSVQtrCGnJIfMohxkSSDW2oHm71txcxVkU7LtOBS3E0ESyR07FGduBp78bGS3k+wRFXRVNxDdYE6mbVElbYsqGbzvLCxz04TE1A0G7T2TxvmLWPXap5jrBlFFEUmzk7D/aNg+RXZ1RJX7BhoaPVES6RkylwfJ6SLa0oC7uIxQTRWYJqKsoGVmpxPjLatHpZcESdHQkzpr3v+K7g3iC2JtXbQurGTEEbuBGUdxe+2K6b9YrVF9boYdujPLX/gQPRpn7ZcLUL12tclXXoAgiciaulnzv3UwTZOuzjBuj4e9D9iFzo5ufvpuIZ0d3bQ0rfcJmrbdZN567cM+rx88rIKyAcXUVq9lwuQxXHja1Vx+w7mYlsXYCaPQdQPHrwy8XIfOji5uuupOdN1g/0P2oGJwGZedexOxaAxVUzn0mP3Y+4BdCAVDnHL0hdSsXj87+MHbc/hq7nfcet/VNDQ08dO3C1m6aAV7HbArpQOKueHyO3jvjU8YsdUQnC4n77/5KV2d3YwePxJRFJi10zSefeIV2jYKB5UVmeNOPQzDMLn2glt6ERmAZCLJeadcxVOv3U8g07/Ja9zaukaWLVmFKImcc+kpDBs+EEEQqK1Zi9vlorsrhCRL+Hz/fg+rPwO2kJn/EZiJBPHONtzuMhy5hcRbGjbaQsBVVIqZShJrXIsgiWl3VUlRYDPGVYKsANYms4D6gyTLWHoKQVORNAdGon9PEVFVkZ0unPlFmEYKPW4hSPIfUoL/PbDk5+Wce/KVlJQVsdXY4dTVNDB/3g+cXVnDo8/c3scCf0O0r21jq+3G4PK72PG4nfn4MTsbafWPVcw4ZOamDyoIKA6VBe//yIBxFei6gSRJ6VbSxmira0V1arz/wNvEwzHKtipn5IzRKIo9i1IyooxnLn+CoVOGs+3+2+II2KVd2amhxxIoHhe5Y4fgzApQ/dE3JLpCOLMDVOw+nXh7N/H2IIFBJSQ6u1k772fKdti6zzkkQ1Ecmb606+/G8BTmkAxH7eTnHjgy/UiKjKhIv9hqTIYixDpDRKNxooLJ3Dnz6WzvYtp2kygfUILf48ZIJNGjcSTNzhrSvL++AmCkUpixKOGaKgRJAkEg0d6KqKh4Bgwm3t6ClpFNor0FNZBJrKWRZGe7rfITJbTcfFRfAD0eJd4Z60Vk1kGPxmn8eiEFWw8luGopamYOztyCPi3g3wJBEHDlZjLqmL1IdIVIReM4Mn2oHtdm08z73ZcoMHL0EFRNo7W5FYeicMdND7HdDtswaswwlixc17ai1yKnfGAp5116CpUr17BiaSWyIrP7LjvR1NCCZVmcfuxF3Pv3W1BVGe8GpnKmaZJMJFFUpZfq0rIs4rE4sViM7q4wyxavwh/wMW3m1px78pUAnHLOMeyw8wy+/2YBb778PmPGj+TuR2/k5Wff5KlHX0rvKxQM89E7n3HwUXvT3tbFjB2mcsX5N/PQU7dywulH8Mi9T7P45+Xp7Z0uJ2ecfxw/fb+Y8ZNG88CTt3L/7Y/z+cdfYZomo8eP4Izzj6e2up6SsuJemVQbItgdoq2lHbfbSW5+Tp/nq1fXcfwhZ9PSvJ4k+vxebrzzMh6550mOOfkwEGDV8ioKivLJL8gh+3/MfXgLmfkfgG2YpePMK8RK6cguF57yQcTbmjGTSWSnC0dOPoZhIMky3oFDMHtC5cxkAsswsCwTxRfoM+8C4CooItbWghGL4Ckb/OvPy9CJNtTjLCgmXLN+sHgdnAXFiKqGM78II5m021eCgBGPYuFC/pMRmpbGVt55/WPueewmwqEwOXnZKKqKJAks+mkZ1WvqyCjMorOh/5aN0+vC6XGSiCbwZvgoGVFK3dJaLNNE8zjJKs6mvb6vM+7giUMwdIO5z89h7vNzGL3DWEZvP3az5xps66Z2cbV93tXNLJqzkIMuPwxvjhfTMBk5Yyu+f+dbttp2BFJeAMXlYPjhu5LsjqAnU2BaVL7xWXp/pbMmsfLljxFVheJpY+1V/1cL0WOJnnair9egb8tPyymaOoaqt7/oc27esnzAQt/AE0dUZCp22xbZ40QS+7o9b4hEJGq3thSJ+T8v5coLbwHsFfLihcsZPHQARx65H2tf/TT9m3Nk+Biy/w44e7xdfgmWoZPoaMVTPhAzlQLLRFQdpIJdxBrrcOQVAxZaVg6WrqP6M9EysjHiccxUEsXlIVxdiZaZTfuS/m9wAO0rqincZisAkh2tqF7fv0RmwCY0ms+N5vtl48O2lnZWV9bw7hsfI8sye+w3m7LyYlweF63NbVStquGOmx7kmJMOTfuwfDFnPvc9cQtvvvw+sVic+fN+YNZO2/L4Q8+RnZvJhVeezqVn30BX53qrhicffp6rbr4AVVMRBJHXX3yHC686EwBd12lpaqO9rRNNU0npOi6ng2QyRTQaw+fzIkoiba3teL0eRFFkl72259UXbA+fI48/kBGjhnLY3if3kqSXDyzlrkeu58DD9qK5qZV7b3uMn39YwjfzfmDGDlOYsf0UmhpayC/M5bJzb+LCK89g1NgRvPLsW7S2tDN63Ahm7jSN5Usq6ezoYtFPS6mrXsvxpx/JKWcfQzKRZMnCFVx+7k1kZmdw8dVnbvazjkSi6P3YAXS0d3LRGdf0IjJgE6CnH3uJ6/52CRecfg0rNnC2rhhcxj2P3UxJWeEvfsf/LfiP1+xvuukmJk2ahNfrJTc3l3322YcVK1b02mbmzJl27s4G/5188sn/oTP+/wfL0G27fyC0ZiXh6kqiTWvRMrNxFZYiebwgCEiSSKR2NaGqFURqVxOpWQ0W6PE4ZjKJM68QR14hQk+VRnI48ZQPwrIg1dWBmUjwa2Zy1kFUVMxE3HYArhhi5zQ5XSi+AJ7ywViGQXDlEts1OJkg2WWrQ0RZAcPA3IyD6n8Cuq6z7azJfPze5ySSKS49+waO3v80jtjnVF578V3cPg+T95oCgCfDw/g9t2bqETPZaqdxFA4uIhVPkkqm6FjbTkPlWsbsMA6wV8ACAgdccghZxb0HBEtGlLH9MTthpNZfBBd+sgDN7djkrIUoS8gbxRDEwzG+eW0eRtJAEAW8mXY1Ztn8lUSb2jFNi2hrJyte/hgzkaTu8/VzP/4BhQRrG0lFYuSNHUrDNwsRFSnt4Fs75zvKd5qCv3z9hTUZiYEkMeSAHXHl2StISVMpmDyK0pmT6F6zFj2RJDCohMIpWzH0INvVV7DMTVZlUpEYiWCYRHuQZHeYttYOrrrorwAccNie3PHQdQwbOZh4PMGylavJ3WWbdBsp3hlk+QsfkAj1zWLqD2bKnuEK11QRXVtDtKGOcPUqEMCZV4QRixBvbSLR3oplGiQ72wjXVCLKEqo/QKKj1V4oWBZspnUqCEKv+aB4W3PP7Nsfj8a1zdxyzT0s/GkpM3ecxtZTx9PR1sl33/xEXc1ali+t5KIzrqWpoQVRFIhGYoDtHXPfbY/x13uvYvioIcyf9yPjJ4+mqKSAQ47al/tv/3uayHh9HmbN3paZO03jyUdfYtjIwbzwziMcefxBNNQ3UluzluamNpKJJG0t7Vxx3k10dXRz8VnXc+Cux3H0/qez/87H8viDz5GREaByVTUzdtiGvPwc6qrtatde++/CBadd3cdbp7qqlqcee4na6nri8QRnX3QSz7zxIKPGDGPlsipUTaWlpY0b77iMWTttSygU4unHXmT2HjO56a7LCWT6OeMvlxAKhpEkqeezWcBJR5zHQbsdzxH7nspNV91Fc1Mr7W2dBDJ8eDfh+i2KIkUlBaj9SLPbWjpYtnhVv6876+KTuPqiW3sRGYDVq2o49+Qr6NiEt9N/I/7jlZnPP/+c0047jUmTJqHrOpdeeimzZ89m6dKluN3rVw4nnHAC1157bfrfLtd/5+T2HwILLAGS3Z3plagZjxGptS3dHXlFdvUmmUT2+jD1FKo/E8XrI9ndheL1YSaTpCIhJM2Fp2wQgihi6jrxlkb0iC33FX5jcKOoKLhLBxCuriRUtRLvwGFo2XkY8SipUDeS5sBTWkG0sZ5oYx3u4nJizQ14SgZgYfY4GBv/8eDGdUildO646UHOv+I0zj3pil7PrVxWxVnHX8qzrz/IzL/sREq1ePbpV6mva2LoiEGcePqRrPh8GZN2mUTLmmba6tsYOmU4s0/cDVmR+fnjH0mldA66/DAiXRFC7UF8OX6cHifta9tw+l1IiozRM1tS/fNqxu8ykR/e/bbPeY7feQLL5i3p8/iq71Yy47BZgEB3axcAhm4Qbe/CXZhj5wNZFrLTQTK4/qbvKcqlY3k1AJrfQ6ytCyy7mmKmdPRonMo3PiN3zBCKpo1FTyQxEklaF6wg3hWyH99mNIZuZygF65pw5mTSvqQKxe1CcjlQXCqCoCMIfS9Zhq7T1tRGV3cIwzDw+zxYzZ3M/fYnLMvioCP2JiMzwBl/uST9mtdeeJcRo4Zw4w3n0frBN2BZJENREh1BNO/mKxamYSCIItGGuj7PJdpbkRwu4q1NaSfsRHsLrsISLNMkXFOFb/AI+28RSLS12EneP6/ssy+ArBEVmPH1n7Wp67CZWaPfC4Zh8OP3i9jnoN2459ZHufuvjwCgaiqPPncHqWSKB+98Ir39269+yFkXncjD99j+NYsWLOP6y2/noCP25oQzjkTTVO574ha6Oru592+PIYoiZ1xwPEUlBXw55xvGTBjFqeceR1NjC9ddehvjJ41m25mTmfPhl4DAtrMm07C2mUOO3pebrryT2ur1bTnTNHn9xXfxeN2MnTiK088/jnde+4gBA0sRBIHVq6qJ92SBbYitxg5nxqxtuOuWR1i1wlZ4FpXkc9n156KqCpedfQNX3XKBrVgaVkFTQwsXXnkGC39aSrA7xPCRg3j2zQdxODS++fIHnE5Hv87SI7YayoVXnk5tzVpOPedYbrnmnj7bHHTk3liWRXZOX/+kWNQmif6Aj/0O2Z3Zu8/E5/fS0tRKKpnix+/6ccoGViytpL298z/ipvyfwH+czLz//vu9/v3EE0+Qm5vLDz/8wIwZM9KPu1wu8vPz/92n918BQZYRUkmMWGyjJwTcxWWYukGktgpT11FcHjxlg9B75gEAtMxsYk1r0XLzkBxar+HgDeHIydvsKrPPeQkiisdrX9zDIcxUgsjqNb32LSgKnuJywrWribc2oWVmk4qGUbx+jFjU7sV7/YAFhoEei2IZBrLHiyBK/3JJ/tfCSKVYU1XL7N1n8twTr/a7TTgUYcWyKppaWrjtxvvTj6+ta+Szj+Zx6z1X0dncydBthtNQ2UAsGOXrl78gryKfcbtMwulx8tKNz5FTmseE3SaRjCeJdIUREFAUmZzSHJqqGgFY8sUidjhmZ9wBN9+9PZ9YMIrL72byPlNRHSofPNS/jb4oiZiGyZK5tlPr0K2HkGpoRJAljPQNwUIQhfQAr2WYiIqMtyQP1e9hxBG7IYgi2VsNoqVH7mskkjR+u5j2ZWso3m48qzdoL9XP/dH+P4LAqGP2RBANLN3CNWM8CCZmLESipQ5P2UAEqfclKxGNs3JZJZece2P6BucP+LjkmjPJLcpDURWmbz+lF5FZh6WLV/LWO3PYadBAQj1Ow/GuEL6ygk1+zwCmoZPotFuFoqqhZeUgKSqWZZHs7iDR0YoayCTe0ph+TbShHk/5QHtYWNfTv3HL0FEcMlnDB9C+rHdelOp1kT9pJLG161fdssvzb1H0NTe24nQ6uObiW2lqWO//VFicz8IflzBpm3G95j8W/rQUTdOYNnMy83ocjZsbW7nn1keRJInHnr8TRZFxOu25nHMvO4WFPy7lrlse5swLjmf4qCEsWrCU5oYWrrrpAj794AtOP/bi9P4fuvsfbL/LdE4646heRGZDvPzMm+x1wM689MybHH7s/rS2tHPnTQ/T3t63OiEIAqeecyznnnwlsdj6dubauiZOP/Zinn79Ae5+/CaMpEEykWLUmGEsXbySi868FlVVOeGMo1jy8zLOPvEKBEHgviduwbIsMrMzelVD3B4XZ1xwPKccfSGJeIKHnr6NW++7mofvfpJVK1ZTVJLPMScdyqQptllgf3B73czccSqnnXcciqpQtaqaOR/Oo2xAMaPGDmfWTtOY89E8wP7tH33iwQweWkEymcQyLcKhCJ5fIOj/DfiPk5mN0d1tlx8zM3t/sc888wxPP/00+fn57LnnnlxxxRVbqjO/EoIg2NECqgobiFuceYUkuzpJbRAzkAoH0bJzifUY6ykeH3o8iru4DMMwSEUieMsHEa5dnR4QBlADmchub78kZ7PnJkrITheCJNG9Ykmf11upFLGWJrTMHOKtTUiKih6LgCAiSBKRujX4Bo/AiEWJ1FejeP1omTl21pOhI3t9yA7XbxpO/mdgmQYdre2UlhdvMm8HICsng0vOub7P46Zpcsu19/DwP/6GKIkMnTKM79+ZT6gjRKgjROUPlex3wYEMnzYSd8DDKzc9Tyxkk1Nfjp89z9yHXU/eg6Y1TSz+7GcKBhXx9atf4s/xc+QNxyJKIpIsoacMHjqt78oQYMjWQ1E0hc+e/oRENMHA8YPIyA0gZnkQxfXKnq7Va8kYWk7H8mq0gJdYexcDdpvWUzEQsEyTVDRO3vjhJIMRgtUNaH4PRlLHMk2cWQGKpo2l4euF6cFQSVUo3WFrkqEoipJEVFRAIN7SZOcxlVbYv+GNBtGbGls4/vDzet2QuruCXHzW9TzyzO3M2mkaX8/ta3q3Di+98A67PnQD9JAZR+bmbfQt0wTTRBBFvAMGY1kWsaa1GPEYiCJaRjZaRg5mauNKgIWZTKRbq5LDab8GiDVWUzRtFFkjK2j+fhlGMkXmsDJ7iLqldv3fhCDiyM4F0+CPvnSnUjrRSLQXkQEIZPho7lEqZWT6e6Vvn3LMhTz67O1sPXUcz//jNbo6unsqJcfjcGh4PC4s02LI8IFkZPj58J057Lb3jmTlZnHkvqdiGAYer5uBQ8p57P5n+pzTp+9/wbQZWzN4aEW6krIh4vEEyUSKxvpmUkmdouICjjjuAAqK8vpsO2XbCcyb+12v3806mKbJI/c+xYztpzBgYBmpVIrXX3qXcy89mbHjRxKLxdF1g5LSAopLCnjsgWe46cq7uPHOy7jzoet58K4n+PqL77Esi2NOOpSXnn0zXV054bBz2GO/2Vx+47m4XE4UVSEnNwuX29lvlIyu66iKwrmXnkI8nuS0Yy5ibd16kuzxurn38Zvp7goSi8a59LpzuP+Ov6craYIgsOteO3DeZaeSk/ffPRD8pyIzpmly9tlnM23aNEaNGpV+/LDDDqOsrIzCwkIWLlzIRRddxIoVK3j11f5XwIlEgkRi/cUkGOxfMfE/BVFEy8oh2WUrXARFRXZ7ETUHjuw8LEMnFQmT7O60JaQ9F1AtM5twfTWCIOApH0y4oQpRUXAVlQFWz6pcJRUOEm9pxFXY24bdSCbsG0DPbICkav0ObxqJ+GZ9bNaZ8pmmgez22ucbCoJlYUQjJLra7SBKr9+eXehBoqMNUVXxlA9GlOQ/zHDPSqUYNmIgX37xA/mFuQS7+zodu9xOujq7N5l309LcRmd7F36fF1ESWPPzBhdsy+Kjx97noMsP47FzHuz1umBrN89f+wxH3HAM8174nLGzJzB82kgeOfsBdj5pN5w+F95MW64ZDUYYs+M4ft5IIu70OtnuiO1Z/VMlrTUt7H7anpSNKEUyDUzLItEVomDyKLQML67sDPwDiiiZMcFW9aR0MCwQIVTXTN1n39sp56X5ZE4bQ2pgIYt/XkZmfjbDtxpC/fxFSMDgfWdhJFJ2zIUAzT8sw5mTQel240iFgyQ62lEzs3Fk5YJgkyQjlUy3FfVEkg/e+rTfGxLAg3f/g0OP3pe5m/D+AIiEowiyfRPRAl4cgc3LWo1UynZfdjrTbaM0TJNEewtGLIojt28V2QK73YSFq6CE0AaOwbGGakRVpWzH8YgOF5Ik2F41Pa0q2eXBWVBMMhpBdXsweojRH+UU7PG4et0016G2ei37H7IH7W2dXHHjeUiSRCqlI8sSn338FYftdTI77TaDR569HVEU0TQVIZak46flNP9cScGMcVxy7Vk88eDzyLLEnvvvzKlHX5iOB5g+awofvfv5Js/r+SdfY+c9Z/VLZjRNxeVycNxpR/Dzj4spLM5HT+n4fF623mYc3369/jdfOqCY5Uv6n0MBWL5kFZOnjefYg87k8hvOZfd9diQajuLyuMjKyaS9vRNFlRm39VbcOupqVE1DT6XIzM7g8hvOJRFPkkwm0RwaD939j177fvvVD3n7VVuqvt8hu3Px1Wduksisqawl2B0iOyeTv157T5/vJByK8NBdT3D5DeexdNEKvpjzNXvuvzO77rUjd9z0AJ0d3bz7xsc4XQ4uvPIMnL9Rsfb/CX8qMnPaaaexePFivvyyty30iSeemP7/W221FQUFBeywww5UVVUxcODAPvu56aabuOaaa/7w8/3/BEEQweppK6VSiA4nWCbJ9lZSPd4uitePp6TcLoNvCNPEAox4zA6NjEVtF2FBtNsNPRUaxRdID51alokRjxNtqEvP1EgOJ66CEkTN0af982t8bBxZOaRC3bjyizFNg0SH7eNi9ayUtcyc3jeXdaefTBJrWoszv+gPIzOCJJHp0airruegw/fm+stv728rXO6+fiUbQnVqRDpDrPhqeZ/nQu1BIl3hfl9npHSWf7WU7LJc5j43h6Y1jex84m4UVBTg8q4/psvnZvtjZjNs6gjmv/E18XCMQRMHs9WssbgDLgaOHUjFVuVoqkwyFCXS0oGoKmh+j01oJo20gyaxCK9tpuGrn+0OXzLFgF2mUvNRD3EQBPxTRnH5RX/tdRPRNJXb7rmKrK4IHSuqkZ0a0dZOgtX2RTpzWDmIErI3gOzykAx2E6xabqeoY8deOHLykVSNVDLFooW9xQIbYtXy1QwbPgjTtHjz5ff73WbytHEYbd24C7IZuOeMtCHeJiFAItiN5vUR3oSTth4Np8k7G0iSJc1BuHZ1j9VAMd6BQ4k1rUWPhBFkGTUjG9XrxUwmMQ0RV2GJbadj2Z9nrKURR3YulmGQCnbZ4at/UMXR5XYxaOiAPo93tHWiKDKqqvL6i+/y8XtzMU3TllfvsxM33XkZTreDjAw/miiy4qWPifb4rnjKCuiMxcjLzyEajTFh8li+nPNNr5wjl9tFQ31fErUO3Z1BsrL7b8fsf+geiJJEPBYjKzuTfzz8Ah6vm5effYvzLz+V99+ewyvPvUU0EqO8opR4NM6manb5BbmMmzCK3Pxs3nz5fSZOuZhlSyrx+Nx4PG5am9tIxBMEg2FEQQTB4srzb+GCK09n5bIqXnnubbaZPpGjTjgITVM3uYBxOp0om7gmNTe2ct/tf2fJwuXc9sC1fP/Ngj7bDB81hAOP2IfD9zmFWDSGJEnsvMcsdt17B+57/BYaGpp557WPePOVDzjqhIMZ8Adlfv0Z8KchM6effjpvv/02c+fOpbi4eLPbTp48GYDKysp+ycwll1zCueeut9IOBoOUlJT8vif8/wyiJGHKEoLgwErEEUWRcHWVHR3gz0ANZAICiWA3jsxsEAT7grzByi/V3WnPArQ22Q9YJtYGgqJ1MtRkJIykabYKaQOSYsRjhNaswjtoGIIs9cpYkhybvokIsmJXdZwuFH8msY42VLc3faOQXW7i7c22mmoTba5UsAtHbgGGnrKDB39vSBIu0eSU0w+ncs1aDjl6X1586g3MnnN0ODSuvP48CgrzcDod/VYTSsqKCGT6ee6ix9n1lD1Z8c2yPtuYmzElbFnTRGaRrXZa+c1yph88E0+GG2kj5ZLb72bwpKGUjizH0A0cbi2dqSWJEqlwlLVf/kTHBlEDgihStuNkYu3daJk+EsEwkixTMHkrUpEY7vxsjGQKSVUwkil8FUU8/+xbvYgMQCKR5JzTr+bVdx8juXg1ke52PIW5FEwaRe3cH/AU5NjaHUMnWLmsz/e5bsBWyspBURQqBpby+Sd9hy4BikoK0Fu7GDGojCHDB/bx+JAVmbMuOJGizACq192vMSDYZNnUU3bFUhRRnC6bcCTXV3/Xha5apkkq2IUeiyKpWrqVpPoz0CNhe64rHCK8ZhWe8sG4igf0VCQFzFSS0JqVmMkk64IqtYxswCLR0Y7s9qR9auJtLcguN6Yk2eq+3xlOl4PBQyv6tJIAmppaefOV9/lqg/adntJ546X3kCSJnXbbjr9edx+HHL4XUpYPWjrwjRrIslCQ2/Y+heLSAnbfdzY//7CYttbeXkjLl6xi5k5T+fqL/mnGhCljGDZyUK/vUxRFdttnRw7/y4E0NbYgCCIOl4P9D92TrJwMwsEIumEwc8ep7L3/zgiiiKzIlJQV8cYmSO6+B+/OdZfdzvW3XUJLUxvHHXIW+xy4G5pD5fEHn0srtyoGl3HNLReRTCZ55Lk7+f6bn/j5xyUYPUGaTpeDXfbYnlee79/terd9dkCS+1ZlopEY993+dz794AuKSwtJbCKw9rhTD+eqC24hFo0hKzI33nEZ8+f9yPmnXEUikcTldnLAYXty6bVn09nRRWZWAH/gvzPS5z8uzbYsi9NPP53XXnuNTz/9lAED+q4GNsaCBQsAKCjof1BP0zR8Pl+v/7aAHnm2gJFIkOzuwhIFfIOGo/oy7IukAFogE0EUcRaVAWCmkog9q79UOIjs9thOwRtB8fkRVQ3LMrBMk2SwaxPVFot4c0PaDXUdRFlBCfS/4nIVFCOqDizDRI+E0PyBdCtJ9WeAaL8vy/wFqbZpwh8k55ZVDXdRKR4jylalWRx17H68+uHfueOh63jwqb/xyvuPM2XaBKJNIa644dw+7QFVU7nqpvN566+vkEqkkJS+F7is4mwS0b6qjHXILMomkBdI/7uxsgGHY9PDoppLw+Vz9QoHNQ2d7uqGXkQG7Bt69UffICoyggWCBavfm8ea9+ZRP/dHVrz4IY3zFzFwr+0QJAmpNK/fxGWAVDLFd1/9SKytk1BdM43zF1H55udU7DKNWGcQAYtksGuTxDTe2oSeSIBosdf+OyP3czMAOPWcY/D7PaixJHc/fD3HnHgIbo8LQRDYZvpEnnn1fkqK8nDnZW2SyJi6TqKrneDKpekKkR4N9xgQC+kWpuxyo8djdgUxrwjF48OyrB6fpGJkr7+nkijgLCzBVVRKoq2JWEMtejQCZs8QfnLdTcsOqow21oFporjddkK9INgtNz2FmUr1mlv7vVFSVsTDz9xOYfH6lpkgCIweO6IXkdkQb778Hg6Hxhsvvceh+5zCsu5uAiMq6NAkrr74VkJB29SuqLiAcCjCVj1xDuuwZOFyho0YTE4/hm+apnL8qUcQjkS5/rZLeeGdR3j8xbt5+YO/c/r5x6NpChkBH/F4nLbmdj798Av+ctBZnHHcJRy9/+lccf7NtLZ2kEwm6e7s5qu533LFTef1SqoWRZGjTjiIxrVNVK5Yg8Pp4MoLbsHn91JQlMd9t/09TWTAlkCfduxFhEMRrr7oFqbNnNxrNmXOh1+y/S7TKS0v6vN+jjzuQAqL+97DWppaaW/v5ITTj+Ttz5/hqdfuo6S0kPFbj6a4dL29gc/vJRaNEQra1doj/3Ig77/1Ka8891aa/EQjMZ585EWWLlpBVlYG3Z1B2to6aGvt4L8tlvE/Xpk57bTTePbZZ3njjTfwer00Ndmrfr/fj9PppKqqimeffZbddtuNrKwsFi5cyDnnnMOMGTMYPXr0f/js/3/BEsCIRZGdLpJdHfjKB5MMB+3SbEtTT5aMvSJ05RchVwwh0dmOu7CEcM1qLNMgUleNu6gUI5UkFexGEATUjEwkp4dIdRVGIoaWlYvi2/QgpR6N9Ik9EGUZd0EJiR5Zq2XoSA4nzrxCRKcTTAvJ6STZ1UG0sQ5R1XBk56J4/XZas2kiOTbdwhFVzb7w/4GDwJLmwF1SgWXouPUUoqxQVlaItAH5i3SEGJnh5tk3HuT5f7xKXW0jw0YMYpddZ7Hg9W/pqG+jYtxAGlb2VmwomsKup+65yRkJQRQZPGkIyfj6FZzDrdrutL8BVsqg6fulm3jSIljdQO7YoVS+8TnGRqvFSGMbbUuqyB5ZAV5Xr4v+xmhuamV44foLvJFIUvfZ95TNnoKpp/qENW4IM5kE0yC4ahnZWQXc+eB1XHLujemLuqzInHLWMYwaNQSXpqG4nciqwhnnH8dhR++LaVm43E4CvyLHRo9FidbbxM5ZVGqbNibidlaYPwNHZhbR5gaceYXIHl8PgRewLAt3STmWbiBqGmYijjOvCNnpwkgmiNStV+2lQt1IDifu4vI+bVIzEccyTUSH027hiuL6uTdR/M0D978GXZ1BOto6SCSS+AM+Hn3uDtrbOqmvbWDQkAHU127sHr7B56UbKKrCtbdezNUX/ZUbr7uXV95+hAd6/H7W4YYrbufaWy/G7XaRm5fdyxDu5qvv4rrbLubV59/lk/fnYhgGW08dx9kXn4zmVBmWPyhdXWhv7eCtVz/kg7fncP3tlyDKEm++/AHFpQW8+/rHvY7ZUN/EJWddzyPP3s4TDz2Px+ehfEAxt91/DR3tnegpg4LiPD5693OefORF9th3Ni889TqGYbDfIXvw1GMv0R+C3SFqq23BxJ03PcSxJx/Cl3Pmpz+PK867iYuvOYv21g7mz/sBX8DH/ofuQVFJAVkbyKYjkSi1a+qJhKO8/uK7zP30GxRFZp+DdmOfg3blur9dQuPaJizL4pF7n6KupqGX8eDEbcby+EPP9XuOr7/0Hkf85QBaW9ppXdBOUYlNJh1OjfyC3E1+n/+f8B8nMw888ABgG+NtiMcff5xjjjkGVVX5+OOPufPOO4lEIpSUlLD//vtz+eWX/wfO9r8DlmEgebx21UWSia7dcBVurwjD8Rju0goc2XkYKR3voGHooSB6LIqRTNjzMYJom+05PSTamjES9s0r0d6C5HAiu73peZkNsam5FVFRcOTk2S0vy8RIJkAQbZVMT9tLzchMt8QQBSRVw7IsvAMGY0QjyB5fv/lOroJiBFn6w2MQJE0DNp0nk1OaQ93SWgqKc9huzETig+OEWrp55+ZXsUwTSZaYesB0TNMilUjS0dBBbnkeFWMHsvDTBQyaMIRZR+3I3Oc+S3vKaG4Hs4/fhR/f/55RM22CL8kSeWU5v53MWBapcLTP486cDPImDMOdk0Wksa0PkVmHzhU1jDhiN1qb2ygbUEzNmvp+txs9Zjjxlb2fC9Y02iMiuoHkdENX/3EMktPZQ7wtjPYGxg4r5sW3HqKluZ1kKkVhUT4ZAS9Oj6vX961oKvnFv97ewdT1tKoPbGWfpaeQNAfx1ma8A4eQ6O7CXVRGKthlV5MA1ZeB5HAgyDKWYBKqWt6rEil7vHhKK+yZmx4yYsRj6NEwsseLHu79N6PHomiObARJxojHiLc02vu2rN9dpl1bs5Y7bniAOR/NwzRNMnMyeOLFe8jMCvDaC+9SUJDbrxfKhnC6HKRSKR5/8W6OPuB0ookEqzcKmWxr6eCMv1zCPgftxgNP3cpdtzzMF5/a8zOaQ0OSZE495xhOP/84LMtCUWQ8Pg+BjVokWTmZ7LzHLLJzMqirqcfhcLDDLtO58Yo7+z23rs5uaqvrWbGsitsfuJYVS1dxyzX3AqCqCjl52UiSiMOhsete23NXjyqooDCX6qraTb7nqlU1FBbn8+Wc+Zx/+Wkce9KhPPHw81iWRUd7FxedcS2XXHMWF1x1Bk6ng8ysQJ8Mptrqero6u7nojOt6kZRH7n2KOR/N49Z7r+T2mx7gsGP259Rz/sITDz/PiK2G2ueuqf2KDtYhlUyxurKGczbwvxo9bgTnXX4qpmmSkeHH6dr8PN+fHf9xMvNLpa6SkhI+/3zT0+1b8OshgJ2q3NqEu2wgZjKxfv5lI6xbfQqygqgqmPEYkteLEsi0KxyW7eViWSaRutUYsd43wHhrI66iMsJr+v6BObJzEaX+f3p2uJ89HCyqWnpuZ11FwiY49hzNuouBIAjIDieCICK7PSQ6O0i0t9jVnZ5cJ9tc77eF1v0RcLid5FUUkIqnGL/TBH7+5CdWfbUMURIpHzeQSXtMZu5znzFh10lM2msKy+cto/rn1cx/42scLo2B4wbRsHIt+114IHpKT/vCfPfWfOLhGKH2IIIosM95++HN8v1mQ0G7QpZNuN6W5LoKcsiaMIKGNS0s+KaS/AFhCgcX4cjwEe/sSxrXJUmHfljO2ecexzln9B3ELx9YSkFmAGOohFKca89PpXQiS1bbhE51IMoycUnqt43izCsk1rS+OqB3tuIEytwintJBhKsrcRZk/cvE1TLNdGaYqKqYsRgWVs/cmB0F4vBnEK5d3auSFItF7apifhGWYfZpqerhEElFRfVnpKssAMmuThw5eX3IjCgrIImkgl1220kQcBeVgST9roaRdTUNXHDq1SxbbKusZEXmgSf+Sn1tA7ffcD9X3XIhGZl+fvxuIYOGDKBy5Zo++5i23dZUrlhD+YASmpta2XP/2aSSOiVlhX1cbA3D4JXn3iIjy8+UbSdw7MmH4vG4EUURj9eNz+/9VYnZBUV5lFWUkEwkCXaHURQlXaXrD1Urq7npzsuIxRKM2GooBx+1D8HuENO225oF3y9G13VOOvMoAlkBiksLqVyxho72LgqL82mo7/96WVxakFZH1VbX0dXVzX1P3ELVyjXIssyU6RPxeNzkFfTNXQJob+vgmy++p3bN2jSRcTod7HPgruywyww0p0ZtdT3nXXoqP/+4hGB3mPMuO5XaNfVMmT6Rb774HtcvkJGNFVMLf1rKPx5+gT3335kRo4f8vycz//GZmS3490GU7NWcmpEFWOnspU0hFY2gJ+MI2MRCQMCyTMACQSTR0UZo1bI+RAbsVoDYz4V2nR/Nr1EVCYKAsFEOj6RqSKrWb7KspGlImgM1OwfvwGH4hozEXVyOqGjIbu+/zUDvl+DL8qE6FdauamDc7Akcfv0xHHT5oRQPK2HpF4uZsu80Vs5fTsuaZjwZHqoX2iv4eCROPBIn2NbNSzc8xxu3vcKrt7zIa399ifpltWx3+PbIisxJ955GxbhBqO7fbpSluDSKpo4B7GqMe+Rgnrz6Gd5/+F2+e+db3rr3TZ668kmyp41H6edGI7sciKqCu7yAgUPK+es9V5JfaJex1ykt7rr7SnA7uevZ19l39+PZf/fjufeBZ7CGlxFKpkgEI1iAZ8CQXq1DQZJwFZVhGgZGvO9vDrOHOEjSbwjV2DSEnsqffWwFPR6xqzLtbXgHDAJRIhUJ99sSM+IxjHjc9nbqB8muDlRfoNdjlmn2GrjvOQsUnx/LsjDiUZx5hXjLByGqGrLz9zNCsyyLtpb2NJEBOOvCE/l+/s+43E68Pi/33fZ3Xn3+He68+WHOu/xUBgwq67WP0eNGcOo5x/LaC+/g8Xt4/h+vceRxB5GZGeCEkw/r97iyIrP97G0pG1DC5x9/xcG7n8Aj9z5FIMP/q4jMOuQV5PL+W59SUlZEPBYnYzN+QcNGDmb+vB/oaOvg5qvvYvbuM9E0ldOPvZhH73uaJx56ng/e+Yy5H8/j5LOO5m/3X01xaSHHnXp4v/tzODSGjhjE8iWrEAQBt8fFay+8ywtPvs64iVuRnZfJnA++pK5mLfW1DSSTfaua4VAUt8fNvLm2Y/dOu83ktgevJRgKc+v19/HUoy8hShIvP/sWX86ZT2l5EYZhsHZtE0cffxAHHr4X7W2d/c7mAIydMJLyihLOveyUXo9/9tE8JEkkHonT0d71Kz/tPyf+45WZLfj3QZAkJM2BkJGFqafs6oggbtLfRVRUjEiEaK3d3xckCUd2PpLbTby5AVdBCaZpobhciLKCqSeJNTXYpfiem5Bv8Ah7RsYyUdweEOWeVswfB1lW4I9QLP2OcHpcmKkUfz/vYSbvPZXyMQMYNnUEoiQR6ggycsZWuPxuXAE343eZyI/v2wOXnzz+IfucfwCV369k4acL0BMpsktzmHnEDpQML8Ud6H+Q9ddClGUsYOCeM0ia8PzNL6EnUr22iXZHePeR99jpgKk0z1uvVpI0hUH7zCScSPLODwt56tSXqBhczolnHEVufjZFRfl4RYmwZXL43ienjcT0lM4Hb8/hp+8Wcd1tl5CjaRSUFqB4NFxFpT2/UTstXRBFupf3b98Ottu16vX3Qwr+mc9CwZlXSLimCjOZQNJyMeJRNJ8fC5AUmXhz/6GhAKlgp61A6g/9VKQVn99WPK3DOrNASUZWVaT84h7Jt7DJyuY/i3gsQeWK1ey2947kFeSwbMkqJk4Zy6Xn3ED5gBKOO/Vwaqvreeqxl+ho6+Ty827i5LOOJjsni86OLrJzMkkmk7z8/Nvk5GYTj8bp7goiKzIZORmMnzyWcy4+iXtv/zuppP17CmT4ufS6s3ny0Rf58O3PME0TURQ59uRDf7MfSm5eNieecTTNTa2Ew1EOPXo/7r/j8T7b5RXkoOs65QPL+Pi9uWwzfRLNDa088dDzvbYbPmowWdmZHH/oOen2zUVXncHhfzmA5//xGkZPxTAzO4Ob77qC+25/DIBd9twegLc+exo9pRPsDpNfkEdpWTGVK6t58rEXOfuik8gvyMHlXk/WJElMt7fGTBjJtrMmc/qxF6fViyuWVvLRu59xxY3nsba2keLSApKJJJOnjuOqC28lOyeDEaOGcO3fLuaiM66lubE1ve/yihKuuOl8jjvkbE46+2jufvRGzjz+UmBdEnmKWCyOqqmQFfhNn/ufCVvIzP8YRElClCQMwR5S1DIySXT0TWKmp90Tra9OP2QZBrHmtTjyCpFdXvRYFEcgg3hrE0YybmcplVWgRyM9RnohMA1kr71KEkTxDycy/18gqzJFw0rBspjz5EfMPnE3ot1RXH4XtYur8WR66G4NUvn9Knb6y2yOv+sUqn9ejQX4sn3kDchjzzP3wR1wI0oSHz76HvtdeOC/TGYAnAEf1T98g2voIKLBfiogQPPqJtSsjHSsgeJzM2S/HWheuIJPl63i0R4H12WLV3LtJX8DbHXM4y/cyRO3P54mMhuipbmNRQuWMnbMcOIffsOQfWchOlQwbSItShJGMomWnYfodCNKMno8SqKp3q68OZxgWWhZv99Ao+z24swvItbcwDqJtKMnP0z0/1LmzaYJldBTJV3/bwlHTr49z+Z0I8oyksuNKCtptdnG7se/J5KJBKPGDmfFsiqWL1nFuIlb4XI7KC4toHLlGmbssA2yIqf9UtpbO7jh8juQZQmny0k0EmP69lPw+jzsts+O1FTXMX7r0bbzr9cNXjeHHrMfs/eYRUN9E4qq4PG4uefWR9JW/HkFOVx+/bkEMjbvwrwp5ORl2f/lZtHY0Ew4EuWFf7yWVvYMHzWEK248l9aWdpwuJ4lEgra2TpYsfK/XfiRJYtCQCk456nx0fX2b85Zr7mHfg3fj+bcfpqWpFUEU6WzvYuFPSygtL2bg4HJmzd4Wv9/Ht1/9xB03PUi4J7i0YnAZF111JseceAhzPvySPfaZTSwaT0cYZOdkEsjws8ue21M+sJSbr7q7jw2DZVm0NLcye4+ZvPP6x3z+yVfsvs9O7H/I7tx01V3stveO3HbD/Zx5wQmIkkhTQwtFJQVEI1Fee+Edxk7cihsuu4MnX72PydPGM3/ejzhdTuSe4FlR/GMMGP9d2EJm/kchqRqGnsKRk48Rj9ty03UQBDxlg4g1929elWhtxjtwKHo0Qmj1etMyM5EgFezGXTIAyenGvgRbmKlkuj20BevhyXRz6LVH8frfXuaTv3/ALqfsgS/LR3ZxDsu/WgqmxY7HziarOIc3bnuFnLJcpuw7je6WTvSkgZajseq7lcx/42tySnP6dRH9Z6D4XJTOnER95abNy8CeeRi09yxERUb1uVn75U9YBVk88eiL/W5fV7OWcDjG1198t8l9fvf1AjIy/IzxeklF46gbZMoYuk4qEiceMmj/5icESSJ71ECcxYNJdEdo/Hop/vJCxIJMDAtcHlda9WJZVlpptClSYBpGugK5rrUpyjKObHso3dRTuIpKibe1oPoCpCJhtIxsorH+B0PVjMy0IeXGcOTkkQx2Icgyii+AFsjCMk0SnW22FcHvXHnZHGKxOF9+/i2Xnn1DmmB9/cX3/OPh53nk2Tt47olX2WbbiWRmBZi9+0yeefyV9Gt13UjPp8zYfhvcHhe6rvPGS+9z1kUnomzgceRwOtLJ0LfdcD+rVlZz/mWncuwph6GndJoaWsgvyiM3d/MDxr+EvIIc3F43WdkZ7HPArkTCUTSHyndfLyCQGSAcjnLqUReg6wYHHbF3r2FbsKMOPvlgLrpuIIoioiSmSdxrL7xL1cpqLr/hXI7Y91SSiSSqpvLiu4/idDqJRCJUV9Vx3aW39drn6lU1nH/qVdz1yA3k5mXT0NCEJEnE4wn8AR8er5uhIwbh9XuIRxN9zgns3KXZu83k/NOuRlEUzr3kFN5+9UNmbD+Fg4/ch3mffcvauiYuO/dGvD4PgQw/7W0dRCMx3B4Xl157Nh+9+xmfvD+XY08+lPnzfuTAw/e0DUc17Z8mkX8WbCEz/8OQetox7pIBmHoKoyfzSFRVLNPqV4kEdg4RlmUPI/aDaEMt3gFDiTbU2CF8Tjextmac2Xn/84TGNAwS3WESXSFSkTjegmwOvuJw4pE4ejKFO+BBVkSmH7odyViKWDBCKplin/MPQJIlnr3qSfSkjqxIhDpC6bDHKftOw58b+F3OUZJltICXrBJjvXniRtBcGqJhUPXWlww/fDdS4SgdK2rw5mdudvhSN3R8fm+vMviG8Pm9SJKIZZgYyd6Ds6lwjMo3PyPSuL6107FsDZlDyyicOgbnsDK+XbyCv198M82NrYzYaghnnHcc5SWFOB0qCAaiJGNYFqLDkR6eNVMp9GiYtu4YoXCUb7/+CcMwmDJtAr6Al/yC3F5k3JVfZLdpVTtOYMOcpfRn6HTZoZCCgBEN29Eb2FlkWnau7avk9uLIzgPLIly7Gk/ZQJzZef9WIgPQ1NDC1Rf+tY8YIxqJcfVFf+Wiq8/A6/dQs6aePfffmffe+rRXmCLYCdRbjR1OsDvI8iWVnHzWMeTmZZPXj+w3OzuDsy48gR++XcSdNz9Ed1eQ8VuP5pgTD6Eg/18f3AY7jsHjcTF/3o88/+SrjJs4mr9dfx9bTxvHtRf/LV1xWb60kqnTJzJ/3o/p1+bkZSOKAjfffQWqqpBK6rjcTt578xPefeNj6mrWUlVZQ7Kn4pNMJIlF4+TmZVO5cjUP3Nm3vQUQCoZJ6TpbjRsOCMz58Eu2Gjuczo4u8vJzKS4tRBAE2lv7V/Edc9IhzJv7HU0NLdz+4HWcd8qVRMJRPnr3M+54+PpeMRChYLjX3+E6sQBAZ0c32TlZnHjGUUyZPoGMDD8ul+P//QDwFjKzBVimgRGPYwGJlkZMy8RT8gvmhYLQy6q91/4MA8s00KMR9GgExevHmV9oS8FlJR158O+Cnkz0hCDaQYiC9MdLtPucQzyBnkyRCkZY+fIn6PH1g9f+imIqdpsGVgpBkBBVFUlViQUj6KkUzTXNhNpDlIwoZbvDtue9B94i2t1zoxcEJuwykbJR5b/r+UqKjCfTy8Tdt+b7t+f3eX7GwdthBIMMPWg2zT8uw7XVQLzbjUMLeDnyuAN55fm3+/WZURWF/Q/Zg5uvvrvf4+6023YU5mQR/GoRZTtsnX7csiw6V1T3IjLr0LGiBt9Wg3j+lfd5+u8vpx//7usFHHXAGdxx71WMHzEY2alhJTuQVBUpEUfwBwCBjoYGUrJGZWUNSxevZMF3i9JBgfsdsgfHnXoYRSUF6aFzcYPAS8uy8JQPIhUOkuxoAwS0zGxkjy89cO4urcBMpey/F1G0CaipI4gSeixCdG0trsJSREX9jwyp19c1btJhdtXy1fj8PtrbO8nLz+HW6+7l0Wfv4KVn32TuJ1+jOVT2PXh3ps3YGs2hIooCW08dj8fr6mW2tyEESSKvIIdddpvOhIkjSKUMPB4n/oCvX0POfxZtrR3ccMUdnHfpybzw9Bv4/F7i0Xgvn5yFPy7hhNOPsPOWekiEz+9m4pRxXHn+LekKiazIHHncgZx67l+YP+8HVi5dn2QuCAIul4P21g7cHhdVK6v7nEt5RSm33n8VP323iFuuvpuujm4mbjOOraeOxx/w8uDdT3D+ZafZrtW6gT/go7urd1Vv0NABPHrf0+yx72xefPoNIj0WColEksvOuYGLrz6T117oP+R2xg5T+f7rBQCMGT8CzaGx3yG7YVmgObRflNv/f8AWMrMFpILdxNtbcBWW9Ph32MonQZb7yEqBHkO8X+ivbvB0KtSNlpltB0Xq+r/tgm2aJmYqSSrUTaK12W53OV04cwuwHM4/LNem1znoBrH2bmo/+468ccNY/fYXGMneA7Xdq+tp+HohxdPHITvWX8ydPjdOn5u88vU3BVES+cttJ9FS04yeSJE/qBCH20Eg75fmN347NJfG9IO3I6soi3kvfUG4I0RGQSYzj9iekmHFGMEwDYtW0igL/PWwc1hb14Qoimy341Ruu/8aLj//5l6rzMzsDBTTYsiIgWy341Q+/7h3DMHBR+5j5/50R/CPHoyyQY5VKhKjZcFKNoVgLN6r/bEhbr7hfu6743Jy87JRvRnEG1fjLi5Hj0WJJU1SioNoJIbf72X7nbZlt712IhwKceHp1/Dq828zdcZEVFXtV1ZrWwloSJk5tpM2fWdbRElOV1uMVJJksN32bIpGECQRV1EZqj/wh8QS/BKaGpqJbKaSBmDoBl6vnUl0yjnHcs5Jl3HmhSey1/47k0wkEUQRVVP54O05bDV2GKPGjPhFJdK6zyS/uBDLsvqoFn8PhEMRqqtq8fnt6lprUTupfq5nt1x9D9ffdgkvPv0GX3z6DVO2ncRZJ1yWHlQGu7Lx+IPPceVN5/OXUw7jygtuST83c8epZOVmsujHpXi8HopLC6itXm966fV5uOWeK7n31sd6RW98+PYc5nz4JY+/eDeBzADtbR0UlxbiD/i44IrTuOL8m3tVy4LdIWRJYvzWo7n8vJt6vYfOjm66uoJM2mYc320UIeL1edj/0D0458TLKSkromJwORYmqub6ryAx67CFzGwBlmXanjL0DCYaOpGmtXjKbM+ODWMJbP+MYjBNhE34gAiyjCD2nt9IBrtw5hbA7yKa3TxMPWn7e5gm8bZmkp3rV/NGLEq4pgp3STmIIvLv6NPRH+Id3Sx58m0Ut4NUNI5pmhRPH0dgSBmSLJHojhDt6MZfmk+8K4QRb0dUFRSnZs+ibHRT8OcEIMc23/t3VLjcAQ8Td5/M0CnDMVI6oiji8mhEW7swEjrtLo2zjrkwvb1pmsz58EtWLV/NBVecxsVnXgdAYXE+d9xzJW1zvqdkt2nsc+CuHHncgcz95GtkRWabGZMIZPiQO8O4VYWs4RVIG9jMY1mYev/W/YrbSVVl9SY9q5obW0lYFqG6ZhSXA29RPonONrScfELROE///WVefe5t4vEEmqay94G7cOgx+/O3B67lyH1O4clHXuTavw0A+vcIWYdfM6ArKSrO7DzMQKZdqenJVvqj0q9/CWuqanF7bW+X/nK/8gtz8fjclJXbeXlOt5N7/n4zq1fV8MP8hQwfNYScvAAP3vUE+xy4K0NHDPpNkmpBFH9pWfRPQ+qZfers6GbvA3fli0+/QRIlBgwqY80GJn71tQ2cf+pV7Ln/zrwz91lee/HdXkRmQzz/5GucfPYxaZI+dsJIzrv8VHw+L6sra5g+awpHHHdgL9O+/Q/dk/a2jn4zxFLJFH+77j5uvvsK4j15bYEMHxMmj+X+f/yV1154hzVVtQwcXM6wkYPZ/7A9MXQDVVX6hFfedsMDXH3LBWy/87a8+vw7RCNRpmw7kZ12m8ntN97P9O234cjjDsTtcZGMp+jSu0klkxQU/XojyT8ztpCZLUDx+om3NBJtbsBdMoBoQw1GOEgU8A4YjJlK2VUNhxNBkkiFQyheH66iMjs9eyO4i8rsnJoNIPSop8Tf2bEU7LaWqetYloFtnWQSa25Cy8jqRWQ2RLRxLd4KN4bQEyDYI/0Vld/vxmIkktTN/RHLMPAPsBO7Rx69J2YiSeeKGsINLag+NzmjB9O+pIrmn5aTMaiU/K1HoieSSJZFrCOI7NT+j72zjpOjvv//c3zdzl3iCRAgQHB3d5fihUKxClaoYC3FoVihUKC4Fnd3CIQQ4rnc5dzXd/T3x+xtcrm7kEBo6ffH6/Hg8SC7O7Ozs3sz78/7/RIU7/D2+39yVCcIAqHi4eTAoMdDb1cv1577p1G3Wd7chtejcdf91+AN+okGA3S//CG5wSR+UaJaVpGLIuy1/86EI0E8mgevLCFWV6Dm85NWhuz1EJ1YS+dno4RvWha+4Oo9V2RZJtfT56r0/CGUYAhLUmhtWczCeUvI5sd+uZzOI/c/QyKe4hfnnsAe++7IJx9+iWmsuwwkQRR/FNyx1uZ2br3+HhrG1XLk8Qdx/yp2/YIgcPHl51JZVVZ4LBBwOzT1jW76ci6nk0qmuOhPZ+MPrDvfm3WBaCzMNjtuwcfvz2KTmdM57pTDyKQznPXbU/jtGX8YNlpLJdPU1FVh2TaL5o+ehg6usWBtfRV//dsfiERD+PMmfwDrbzQVy7KZvvE0jvjZgTxy39NYlsXW22/Ge299POY+v/hsDulUmlA4WHisqqYc1aNw2tk/Ix5PUlpejKmbxIqifP7RbHbbeweefPj5YfvRczoXnn059zx2E5dds4EbNOnzYlkWf/rrBViWxfKWdsZNqOej9z6juraShvG19Hb3UlQyMgvrfw0/FTM/AVFRUEJhjPgg6bZleErKEWXFXekKAqLmwREFzFwWQXJddm09h6iohMZPIdvTiaXnkDQvnqISjEwKZxVjKCWQtyEX1u1N2LEsLD2HkYyjBEJke9qQvX7MVAJlNaZxjulyGBxdx7Zc/kKqbQmeWIkbmrkOSJhmziDe5M7nS9YfDw4YiRSLn3l7GGem+4sF1O64KeWbTMNfFmPp8++S6ugFQSA6oYaa7WaMKGa+C2zTxLZMzHQOPZnB1g20aAjF5xk23loTiJKIbposnDf2hf+zj2dz4pH7ooUDzHvwJYxUxuWt4JBraqdm+kQcUQDbQdY0tNDw78s2TRzLLIwhymZMoXfuEszMcKNHNeCjtKEGj0crFCUrY9oGkxETaXylMRwRkoaBaVg4dpryylIuvepX7n40lZ6uPh669wmeffIVjjnpUA46ch8cBNT/AUuBTCZLb3cf3Z09KIpMUUmM0vKxVW6GabJ4QRNffDqHX5x3Ar//8695/MFnaW/rZNKU8Rxz0qFMmtKIshp+maapaNp/luej6waWaSKKEppn7PcOBP385pJfcObxF7DNjpszdfokZFkmJAjceNeVvPrCW8yfu4iyilIOOGxP6htriffHWX+jqbz6wtuj7nPchDq++HQOelbn/F/+kb8/dD0lpfUA1NZVcf1Vt3HiL45m/Q2nsNV2mzE4kKCoOIa6mtG6q2rSkeThC8CSkiJKVioyurt6eeaxF9l1r+2pqduBj9+fRWvLcMXh4ccdQEmJK033+X1IssT8bxaTjCfZZPMNWbqomd/8YoUrd6w4ys13XwkCFBX/bxc0gvN/LTpzFMTjccLhMIODgz8laI8BS8+53JLebmzTRPEH8JRWkO3pQu/vAVEkWDcex7FJty8vuJ4KikKgphEAM50k09WOr7yabE9nwV1YCUdRIzGXKyOIyKsJhFzr485lSbe14CmtcDOhNA/6YD+2oeOrqCG1kk/OqghNmIqZSWMbOrmeLgJ140i3NeMtrxrhzvpdoCdSzLnn32iRILU7bEJieRcDS5aTaB5piS55NCYfugtz73+uoFAaghLwMeWI3ZF9nu9c1NiGQaavB9sQWfD4a8MKgpL1J1Cz/YxhHJVv/WzJNG1LWznqyLPHVC+df+mZ7LvHdhjpLAsedUP/anfcFE9xhNxAgmBtOZg2oqbgjQ7/u7RyWTKdbeiD/ZBPn/bXNmJmDDo+mUvfgmWIkkRsSgNFk+uxZYkP3v+c355z+bBxSSgc5Pa7rsT6YhE1O26CEfCSTKTIZXMMDiRIp9J8/dV81p8+Bc2jEiuKomkqTUubkWWF0rJiECAai4ya5LyuYFkW3V299PX0YzsORUVRSkqLkPPSZts0sE0TBNENzhalYWOtgb4Bnnn8RW68+q6CyiYSDfOXmy9h4003cA3RVkHLslbO/fklzM+TWatqytnrgF2JFUVpXrqccDTEiacfudob8Q+JoZwwx7IRRBFLEunq6qGzo4eOtk5qaqsoKolSXFKEbzW/3ZZlrXwzZwFFxS4/xOPVEAR3rKbrOh6vB0WWeOifT/HJh19ww52Xc/jep4zqhXTlDRfj8Wj89bK/UVFVxh/+8htq6la47na0d9G0uBlRkshlc7Q0tTJhciOWbXPKkeeOeny77LEdNQ1V7L7PTkyaMm61neH5cxdx0hHnUNdYw7kX/JwF3yzmrdfeJxD0c+gx+9Ewrg7LNDFNi1xOxzRNOtu7qauv5k8XXTNMtTWE8spSbn/gGqqqyxEFkdaWdjo7uunvG6S6toJwJExVTfl/bRS6pvfvn4qZnzAMZi4Ltu2qLNqWg20hah58FdUgSiSbFo6qYvLXNJDpaEXy+vAUl5HuWO7KUCNRBEVFlCTMTBrZ60f2rbt2tJFOklg8n9D4KeR6u1BjxTiGO+8WZIVE00IYhdcj+/z4ahqIz59DaMJU4ou+QRBE/LXu5wg2TvzehEzHtml9/0sy3QNUzFwPPZlm4ROvj/rashlTyA0kGVg8uty9dqfNiE6sRdY05NWsRsc6jkxPF6Li46u7n8Y2RpIga7afQfmm09ZoDGjpBk2vfEQ2keLN5mZuv+X+Ea+RZYmHn7iVqKJg5Qw6Pv2ais3WQ0+kiE2qL/BhJE0Z0RWyclmSTYsKuUgFiCKh8VMw0xkcR8TB7RAJooiV09ENk75Ummcef4llS1uYsdF6bD5zOtbSNsqmT8L2KGRsh/hgnN6efubNWUhfbz9llaXcedN9BafXydMm8Merf4vP70NVZSRZoqS0eA3P9tojm83x+cezufDsywqW8oGgn4suO4ftdtoSryJiWRaCbZHp7kDUPKihKKKiYls2jg0ff/Ilvzj+/BH7lhWZJ17+R2EstDIsy+LFf7/OBWddNnI7WeLh5+9iwqRvUTX+QDBSGfoXNtP6/pfo8RTVO25KOuTjlyddOKwbMXX9SVx1w8VU1VSgqGP/vS5vbuOmq/+Ox6thGCaSJDHr09mkUxn0nM7dD9/IMQecTiaT5cTTj2THXbfh/LMuo2WZS+QNhgKcetZxjJtQz5uvvsdXs77hqht/h24YTJzUOOy9HMeho62LdCrDpx/OIpPVmbnVRrz6/FvcefPwv5WS0iLueOAaTjjsLO559CaqyiKIsoqoKKNysAb6B2lZ1sZzT77CJx/MYsp6E9jzgF0oKy+htKyYYGi4aWZv7wBd7d1IssjBu50w5vn5+4PXMXnaBJYtXc65P//dMOuEXfbcnl/+5iTqGmrG3P6HxJrev38aM/2EYZA1D6aeQ/YFCdaPx7FMbF0n29uN4vOPKcfO9nQSqB9fGE35q+tdRZPtEnIRRARZWSc28yvDMQyUQAhBFN2Aw0Xz8s8IqJEo4XGTiS9dhGOs6EQIsoyvKp8rI4ro8QE8xWVkuztwbAvbMt2cnO8JQRQpWX8Cy9+d5XJcVrNu8JXG6JmzeMznEy0dRBqqMO2sGw3hXXMllm0aaJEoffObRy1kANo/mkNscj1aOPitKzAjlaFnziJwHPbYZSvmzl3IO2+skG+rmsrVN/yOomgIWRAQixTG7bMty9/+nNrtZqCFfavljFi57PBCRhBRghEEWSXX14enuAQcl+DtGtyJyB4VjyAQKo1y5rnHo2d0HMPANiyEylJEWSRjQ6K7lyWLlhErjvLsky/zs1OP4JJfXzXs/ed9vZBTjjqP+578G8HQmoUdfh+0Le/gFz/7bcEiH1wlzgVnXcZ9T97C5Am1WKkEen/vChn44ACWKbH87VlIlcX87YZ7Rt23aZg898TLnH7eiSO+V0mS2HDGepxw2pH8886HC94rwVCAy669kKL/krW9ldNpff/LYfwoqzTCuT/77Yixytyv5vPnP9zERZedQ3Vt5Zj79Pm9TJo6nuuvun3Ec7++5Ay6u/oYP6mBfQ/ene122pLyylL+/uB1DPQPousG/oAPRVFob+tknwN2ZattN+PvN9/PWeefMmJ/giBQkecZjZtYD7hBknsdsAsbbzad5596lYGBQbbcZlO22m4z/njhNWy/y1YEQgGX/4deILOvWtBEomFESeLoEw9hlz23QxQFyipKiMQiowZNBgI+kgEvg6OEwq6M/r5B+noHOP2434yQhL/y/JuUV5bws58fMWzs9WPDT8XMTxgBUZKxbQNBkkgsXQiOjRqOjjAGWxlDz5mJQbc9HB9AkGS0aFFh1KOEY/jKRw9C+64QZAVveRXpjlaMwZWNvBz0gT4c2ybYMB49PoCdzSIHgkgeD4gi2Da+imrsXK6QJWXrBpK27sZgWjhA1VYbggBmZw5vcYRMz8CI11k5HdnnwRrD70P2ejB1A0lV0HsGUWrWQlbugIM96vsOwczkcGwHS88hSCKSPHb3x8zqhcKs5/VPOOeUIznjvBP56otviERCTJ42AZ8jIJo2LR98ScMuW+DYBnU7zkANBUYUMpahF4pgbBtRUQiNn4KRSqAPDiL5InR88g2J1i4Un5eKzdcnVFOG4h9ZZBiGga4b6KYBtkUw7HXznBZ9g1jZiCxJ+IN+li9rY9+Dd+e+MdyKB/oHmfXJbPY/dM81OMFrBtu2EQQBS05eFAABAABJREFUXTcwTRO/34dpmDxy31OoqsK+B+/D5ltvgmVZ6LrO04++wB03/pMrr7sIs6ud0MRpJJctRhAELMfHwidfAyAyrqrQQRgN879ZjGEYo46LqmoqOOK4A9nnwN1oWdaK1+ehtLyE0vIi/N8hqHRdQE9l6Px8XuHfajRIf98gy5YuH/X177/9yaieRisjVhRl9312oK6xhjtvuo+WZa00jKvlxNOPYsLkRoKhALfeezWhyAoSbkVVGRVVZWQyWRbNX8rVf72ZxQuWomoaRx1/EGf++qQ1Hj1GQn4s06KqupwTf3EUgiDQ2dHNz4/9NbGiCMedcjjZTBZrMI3H0QnU1LuBqo4zgrMUCgUIhVwJ+LdB01SSiTShUGBMThnA+htNYe5X80cUMkN44qHnOPDwvX8qZn7C/xZEScKxLRwbArWNJJuXYBvG2KF5uPEIbnZT27DH1VAEUfNg57IYg33oHg9qtHidec2IsoJjW6sUMitgxAfQYiUogSBCIISZSaP39yKqGpn25aiRGN7SSoxMCkQRyetF0NRRE7+/KzyRINnBBL7SIqq23pBFT781oktjZXXKN53Kspc/HHUf0fE14DgY6Qy9Xy/BXx5bY+M/B4dcXw/+8rE9JdRwwCX1Dva7fimruTJIK1nUO5ZN79uzqN9tC3aYPo2Bpa3kZi8iEU9hpDI07rUNsk9FUt28oZVVWLZlYhkGgiACDnYmTbqjNc/HElBjxYjeKHMfeAHHcjtlejzFoqfeoHTjydRsszHyShyipiUtfPz+53z28ZfUN9ay8+7bkkhnKSmOIvsCmKaBw5DE26GqpoKFq1GuzPpszjopZrKJJD3dA7R3dGPj4Pf7CEdDdHX0EA4HOeyYAzj82AO46a938avTL8WyLCLRMMeedCiqRyWTTBEoKsW2TLf4NmHew6+s+A5SGcZNqGPWp3NGff/1N5y8WhJvWUUJZRUlhS7C6uCqBvNdA0n6QVR1uYHEsL+P4vUnsLhvYMzXO45DehR+y6qorK7A4/Vw5Q0XYZoWgiAQDocIR4Or5QV5vR7W33AKV9/ye1LJdH7sWLTGHBLHscn1dZPJOFx31e2ceNpRLG9po7uzl8uuvQDTMDnhsLP4842/Y9LU8bQua+WrR19GUWQmThlHJBomHPDg8/lAAEEQXdXlGp77quoyBvvjHHPSISPGXAA77ro1waCf5qVjF8SpZBrDyJPx/0vcmW/DT8XMTxgVkqJiGQaix0No/GSsbAZJ08j2dI46LnHJwp0jHs8N9KGGImS7XdJrtqcLJRQB1k2xIGmaG2i5MkQRLVKEHAgCrhLGTCbQE4N4ikpRI0Ukm1zSoz7QhyBKCKpGoG4cgiSjeEdKg78PHMfBNizMTBZ/eRFTj9qDtg+/ItXeg+L3UrLBBBDAG4sQGV/DwKLhvJnqbTbGzOl4oiH0dIZsfxzHtGFNKT2OQ66nC09JNUrAi5EceeGv2XZjZK+KIAfBsTB1HXmsC7wkEh5XzeDiFSvlppc+oHTjKVRuvj62YbryY4+K4vcgj6IEsi0TM5dFFCWsbBpBENyugyit5F8k0vTyh4VCZmV0fT6Pso2nFIqZ+d8s5uQjzhmWaXPnTf/kutsvw7YdaqrryfR0Eo4EmZ/OMHHKeOZ9vZCKqjLaW0f+bgHGT2jg4/c/p7mplWkbTKKsooRY0dqZE+biSZqb2ujs7eO5J19h1722R0AgPhDnzVffx7ZtdtptGzo6unnjlXcLo6aB/kFuvPpOfnXxL/AFfGiaiplOIqoqtulGYgwhs7CFU087ip+feMGI9/d4NHbbe6fv/Xt2bBsjlcHIZBlc6i5YIg2VyD7vCC+k7wM735kb9t6GSfkosQhDUFSFUCg45vMrI1YUXevvcAihcHCYfHpN4Zgmen8fWcfHGy+/yxsvv0tFVRmBoJ9br/9Hoau0YN4SGsfXISkKiXiSVDJNbX01aTVDb3cflVEf0dJiMj1deMsqEOQ1c4yORMOIosiBh++Nx+vlntsfJBFPomkqex+wKzvvuR227TBp6rgx9xEriuDRVFpb2lc7zvtv4qdi5ieMCUlRcBwJyzCRfH4c2yFQN55Uy5KVzPIEPKWu6ZIRHxi5E9satoIYMuCzbbvgz/B9IaxEWpU8XnwV1WR7u0k1LwUB1EgMLVaM4zhIHi+ObSMHQ243x3HIDfS6HaimRS7vx173fxaiLNK/oJnopDoyPQOoQb/Lgcnm6Jw1j2zvIIIkMuXw3anYbD0Gl7YiyhL+yhLMTBZPLEy6bxBPOECwugxxNWTHEXAct6sz2M2Uw3dn8XPvkGp3k9IlTaFi5vr4K/LnR1HQBwdQI6N3cRKJJKl4kuqdNsMxLOLNKzgMyeUdxCbUIkgiggSeaGjMm6htGIiCSGLxPIINE8nl+SCu47SDICsYaYN05+g+QQCJ5g4yWCQGU/z+N38ZEc5nmha/OfOPPPDUraQyOQJlFVjxJNM3nsZAfxxJlDjsmP1H5VGomsqkqeM46YhzCo9tue2m/OmaC4aNFrq7et3UcFUhGhvuxWMZBh3L2uhPJLjl2rv5+S+Po721k+effo2Xn3uj8LpH7n+abXbcnIv+dA5/OP/qYfu4+7Z/seue2+KRBXJ93VjZDGrJcCKmnkgTyRhc+qdzuOYvdxSSmiury7nqhosp8suY2QySqn3nToqeytD+4Ww6P5uHtySKGvTT89UiQvUVVG6+Puo68phxDB016EX2aAX7gpzoEr2Hkp5XxYGH71UIFP1xQnCvQ4qCoioYujGsgBZFkb3235ntdtqCpx9/iRv/fEfhubtv/RebbrkRl175Kzp7B/CKnci+AOm25aiRKISjhYyx1WGoENv7wF2ob3QNEB0HXn3hLc484Xwuv+5Cpm0wmcrqctqWj1Rb/uznR+AP+Vm2uAWv11NI+/4x4adi5iesFoIggmWR6WrFU1KObZn4axqGYo4QVQ0rmyXVPDp5VQmGMVIrVpFD2SvrqpAB17VY8vqxMil8FdUkly1xwzABHND7ezEScUKNE9EH+zHTKSSfH++EqW6OlGUiKhq+imoy7cvx1429QvlOxycISKpMyYYTWfzvt6nbaTOaXxtpolW64SRsy0JPZQjUlOGJBHEsG9mjYRsm3miIljc/pW7nmYXQuDU8AARZxlNawcDiVmKT6qnbZXMAJFXGSGZY8sJ7jMuPhCxRYvnyDhbOW0o0FkYQBEpKi2he1so/bvsXXZ29bLjxNI475TAmb78xRn8CSVPzhFwRBAFlFOO7YcgHlTqWBaLbNk8uW7yi6ycIeMrrV/uxnEiA1pZOerv7+Hr2vFFfk0ln6GjrJBDyEwoHCUcjhKMRBEFgky02xNANlje38fiDzxbGJ8FQgCuuu4jbb/znsH29//YnPHTvE5x65jH09cXpaO/EHwiQSqaIxsIYeRWdZVooqoxlmHiLo5QHvFxx3UWIkkhlTcWw/KghvPP6h2y13UzqG2toWrKiM9fX0086ncET7ypEjThGllBdBfFlKwrJxNdLmFRTzr33/AVdlpAViXA4SMBKk+tYjtHbRaBhwneyRbAti0xXH8nWbiYevDO5/jiO46AEfEiqTHYgsc6KGdswkFSJ8ftty/zHXkcQBZICnLrfaTz64l3ccs3dvPL8W1iWhaapHHzUvhx9wsEUlaz7OA+AeNwNcw2tATF+LAiyjBotpgiRvfbfhaceWWF2V11byfW3X4bmVels7x5WyAzhk/dn8fxTr7LbPjuQsXJEvD4ynW14SsuxMuk1KmaG8PF7n/O7X1014vH7/v4oV//t99xyz5+59Ld/YfZnXwNuZ++4Uw9n+522JJvK8uA9j3P2+T+naPVm2P8V/FTMrAPY+Ruiey108oFybpjhfzpU8YeAmU5iDA5gDA4gebyuekiWsQ0dNRxDEAVXJmoMJ68KsoIcCA0bP3nLq7D0HLJ33bWmJVUlUNvgeuIM9q8oZFaCYxrog/0YiUEcQcATDJFcunDYMavRInxVtWMqtr7vMUqazri9tsEyzBHjpIkH74wQDGAaJlJUw85kGFjaSqiqFElTEBUZI5OhZvtN0CJr2eoWRLxlVSAo9C9ppXa7GTS//knhZuivKKZup5mu94wi8ems+Sz4ZjG5bI7773qMC/90Nu+88SF3/e2Bwi6bFjfz3NOvcvdD1zOxvhozo4MAskdDUGS0b3HkRQAzmUAQ3ZFSpmPFvF6QZDwlZYiaSrC2gkRz+4jNRUVGF+Gvl93CsScdutq3SqUySKv8HZaXRkk2LUKIFHPKmcdw1AkHs3xZGz6/l0DQz58uvIY5X44skB6890kOOGwv2ts6Wd7URkl5MdW1FZiGyaxPvuKtV9/DH/Cz6947UFZWzPxvFjN/7iK22WkLvB4NRZG581/XcfuN944IBXz+qVfYafdth51nRVVQFQU7s+J3aib6qN1hY+Y/9vqwkWFqeSeVm0xBknNYqTj0xRnayjZ0d0yVt0lYG1g5nd5vmqjaeqOC8WG8uYPcYJJwQxWSqtIzdwm5/jjB2go8sSCiIuMYFqKqDONYfRscy0QQFGTVYdoxu5PtT3LvEy+SzeY4aLcTuPjycznlzGPIZnW8Xo3PP52D4Ng4jp3nXq0bdHf28OlHX/LgvU9g6Cb7HLQrO+66DeWVY4+7xoIgCGjRYvQlCzjlzGMoLStGliV0XWf/Q/fkkw+/IBwO8uF7n425j6cfe4Edd98GQ1wR8OvYNkZicI09sSzL4s1X3xv1Odt2yOkGkiRx3oWn4fV50bM6/oCPzo4uRFGkrbWDObPnjRlK+t/GT8XM94Bj21iGq+wQBMG9iToOgugGNJqW6V44JAnpvxAit64grNQFsLKZYaomIxEnUDcef20j+kAv+oBLxFUjrlFeqnlpfh8S3rIqBEn+QQhkoqqhFZUUuDCjwUjGkbx+tGgRiaULRuRK6f29iIqKGityE77XIQlYlGW0YADLo2PpFnU7bUa4oYrOz76hdp/tSfTFiS9vRvVpCIJAIBrEU1WOKTgIyTSiquCNhtean2CbBunWZfgqatBTWWq334Rv/vUCVnYlK/f2Hr558EXWO25venoHuPPm+9l97x24+a93UV5RysQp44YF6w3B0A3+eME13PqPqwh4PQiSgChLSLKIbZmrd1F23N+AEo4MK3aVUAStqNTt+kkS9Ttvytx/vTjseAEa99qKvqzOF5/O4aDD9x6WerwyBEGgcUIdkVVGQDiOa+rY1YqKy+CKlXuRfD7+8cjroxYy4Eqmdd1Az+mEoyG8Pg+WafHbX/6JBd+s6E4WlcRoWtzCxpuux3Y7b8nTj77AC8+8Ri6ns/X2Mzn9nOMZGIjzxkvvrNh3MoW2iufOvgftRtivYawkMnEsC6O/g0kH70Cqc4BESydaJETRlHqwdcyUiZ3PWFsZZiqZ56utXTFjWxZFU+pxHIf4snaMVIbcQILcYJLOz75hwkE74a8owlcWI5HN0bZ0OalUmqLiGP6AD7/X7QYpmoqirf46KKoaZjqFEgqTbFqIt7SisCDUczqXrNJVkGWJ5956YK0Kmf7eAZLJNJIk4Q+4xWt3Zy9dnT3ouk5xSREvPfs6t1xzd2Gbr2fP44G7H+fvD15XkF2vDSRVxV8/jnhbN9lslvff+oSTzjiaP57/Vxon1lNUFKWvZ3QRA8DgQAI9Z1Ac0QrpdoIojuqF1dbSQU7X87LtUjz535Qkje2X1LKslUwqw9OPvMCRxx9EIp4kPphA1RRC4SCnHv0r/vq33xOOhFG/5Tv8b+GnYuY7wjJ0st0d5Pp6wLbzAYxVIAhkO9txHAc1EkXwBcB0JXZr0w78MUH2+nFNY0YSf0VVQx/sRfaHUIIR1FgJgiBgpFMYiTi+yhpAcImLjkO2vcUdU61jOLYNjj2MP7MqBNEtLK1cdtSATMA13ovEyMZ78RaXrdPOmijLiLKMku/0F6/nQa0sxTRNPH4vH//7Q+a9NxcAX9jPzifsRvWUGpAVjLYecj4PkXFVa6xiApd8aCbjJJbMx183ka4v5o8oDMC9QXbNXshCPcN+B+3OXbe63YEjTziILz6dM2aI48L5S0im0oT9XiSv6v5KHFfiLniksQtXQUD2BRBlBSPp3qlFVXO5Oo6NIErk+nowEoNMOWJXBhYtJ97ciRLwUjZjCopHpq+rH0mSePSBZzjtrJ9x2cXXjnibQ47ah2AwMELNIwiCKwVf6XM5toWVzTJj0/W569YHRz3syetNwLIs2lu7eOHpV7noinN5+uEXhhUyXq+HCZMamfXJbCZOGcdF515B0+LmwvOvv/QOH7zzKfc9eQsfvPVxQS67xdabMOeLFd4qM2ZO5+RTD0NTFVaNPbQNnVxXC6rXS/0uMzEzaXJ9nfjKq3FsAzUcxTFN0h3LC59RlBWEtYx1tC3XdVgK+entHeCznm6WNbWy/gaTmDhzKlWNNSRbu2l+8zOEiTW8+doHvPz8m5x+zvF88dnXfPnZHErLSzj48H2QRQlRlbBs1yMoEg1RUlaMIAjYtoWdy7nv5Qtg26BUTSSr6+yw01b847bRv4+d99iOYGjNRlymYbJ08TI62rvp6e6jt6uPjTdbn1xO5zdn/LEgS5YVmaNPOJgzfnUiN//1rsL2LctaeebxlzjpF0eNGRExGnRdp7Ojm8RgkpOOOIdkIoU/4EOWZT7+YBY19dV0dHSx3c5bjRmjsMnM6Xi8Gl6fl1xfD3IgiJlODeO29Xb3MferBVx/1e0snL+EUDjIocfsx4GH70V1jUvaPeCwPXnon0+O2H8inkQANt96BgftdjyxWIRINExLcyuZdJbLrr2QRx54msOPO+A7kaD/E/ipmPkOsAyDZNNirExqxWPZDMmmRfhrGrByWWw9h5mMI2oeAnXjwFoL9cmPDKKs4K+pI9XSNOxxQZbxlpRhpFPkujsKNyUlHMVTWoHg9QEOjuVgplOur0tV3Q8SsicIAlYuhxYpIp1Jj/oaNRLDTCWxyI76PLg3dWwbxRfANo0fLBAwNZCk6asm5rzxBYqm4I8GqVu/gZoptbzy9xdJD6Z45ronOPqK48kMpohGfIiKhJHKIkXWopjJj9wcy8TKZYfxLFZFpruPAdsgWhQuEBTLyosLrrRjwrbQ+zvxyGUwpEYSRPf8jVHAC4KAr7rO7Y5IElYmjaekHH2gDyUQQvL5yfV2AZDrXEagzE+oehI4NlayG2+sEVVNsd3OW/L6S+8wYVIjf77pEu77+yPM/2Yx5RWlnHj6kWy25cajjgYEWUaNxEYEkTqmQUN9JbX1VTQ3jZSqnn728YCrimkYX0cuk+PJlTgQAFM3mMSnH87isGMPYN7Xi4YVMoVznc5wz+0Psd8he/DwfU8RiYY54LC9aFrSwq57bc+EifXEgh6UZA/Eggiy4uaJrQI1FEZPDKL3duGrrCG5bAmBhgnEF8xBCYbxVdaQbnXfXw1H1yjZe/j5MMn0DbKkvYufH/vrQuHl8Wjsts+OnPqLo0nMWYR//fG8+f6n3HPHQ1x9y++55FdX0d3lntuDj9yHRYuWUlQc5fYb/snnn8wGXEn4by89kw03mkYo6MXImWSzJrlUluY5TQiSSPWkGoqLYuxz4G78+4mXhh1bJBrmF+edQGANXd3bWjtoXd7BxedeSXwwgSAI3HLPn/nlSRcOS6A2DZN7bn+Iiy8/dwSH6elHX+CgI/aieA39VrLZHB+9+xmfffQFC+cvLZCzx01sYPYsl5fy7hsfcvp5J1BRVUpVTTmtLcMJuIqqcOTxB7sdFkFAEEW0WDFWLoe4kprp809mc95plxb+HR9M8Peb7+ebrxZw4WXnUFNbSWVVKedddBrXXH7rsPc46oSD8fq81I+r4e//upZnn3yFRfOXstNu23DI0fuxeMFSBAQ23Xwjfv2LS7nosvOoa6j+Ucm0fypmvgNsPTuskFkZ2e4OtKISMu2ubNXOZV35r+zOvtemov+xQJAklFCU0AQfub4ebNNA9vqRNA9mNoMaCJHK+7yImoYacqWAtqHj2A6ioiD7Aq4Z2w9UHAiiiChJ2LaFEgxhJIabP6mRmMsbyKTwlIxtNiXIcoEwOxr3Zl1Az+YY6OzH0g1q16untK4MSZVRVBlJkZmx52Z89rxLEH7nwTfZ6fhdkTSFTFsnkqrgWQvOjLDSqMcxdZRRXEILz1uOa541Z0FhbNPc1MqGM9Zzv89RuERT15+E36NgxLtRozHM9CCSx4vsD7qF4Sp1l22amLkMoiBiWxaCKKEGI8j+IKIgYCQGAQcrX5Cq+VwvHAdEESuTxkwlwLHxKiInnX4Uc774hscfepZ33/qIAw/bi6NOOJhYLEpZZQmGPrIAcB2eHbylldi67u5vpfNVVl7KrfdcxXV/vpPXX3oX27apqCrj1xf9nPrGatLpHB6vhqopyLJMKjV68RwrivDMYy+Oeb7fef1DLvzT2SQTKY742YE4ts1GG012ycSJOLmeTmzHxsFNr082L3a7F3mokSKUQBhBkcl2d5BuX46nuBRjsB+1uAy9pxMlFEFUNXdc8x1G3UYqQ2/vAL88+aJCIXPIUfuy9fYzee2ld7ji9zey5babspWm8NqL77DvQbvz4D1PFAqZ8spSNt1iIxRV4cJzrhg2Cuxs7+bcn1/CHfdfQ0WshGAswBcvf8YHj7877Bg2P3ArjjnmIHbefVseuOcx4oNJdtx1a/Y+cNc1lgmnk2k627v53XlXFWIrNt5sAz55f9awQmZlPPzPp9j34N258S93Fh5zHGe0BvWYaGvp4JxTL+bPN13CvXeuMGjMZXOFlPHOjm7SqQz/fvxlrr/zCu694yFeevYNDN1gxszpnHLmMWgelXvvfJiDDt8bRVHwxLN4PArJvBFmNpvjr5f9bdRjeO+tj+nvHaCmtpJwNMKBh+7BNttvxjtvfkwqmWaHXbcmm81x+F4nY9k2l1z5K4475TDXRNO2WbpoGetNn8KMzaZz5H6nMtgf56yTL+Kmv19BbUP1mp+MHxg/FTPfAUO+JoIkIWleHMcuXHytbGbEalTv78VTUg6mAf+DxQy4/AXR60MoLcexnfyYxkaWAziAv3YcbhfGxDYM169FWwuX2nVxjKpGsqUJT0kZarQYMxkHQXBN4ERXBgyuN42gKIUMp5XhKSnHEQSsTAbFt25t7FMDSSzTJpNI8dAf7ieTWME9KmssZ6ef7cqctz9hq0O2Zc6bX5JL5+ha5nZIUoMpwtXlCMLaRakJsoIaKXL5TP3dlG08mb75TaO+tnSjycgVRbz479c57Oj9+Nt1/+CZx15i2gaTOeXMY7jthnuHvd7r9XDxZeegZQawgVxvN1pR6QifkCE4to2Zy2Am4q7vUH78ISgagbpGbEN3CdmiDIKDr7IGW9dJNi9BkGXXLEyWCdQ2ACJ+yaK4OMK1t/+JTz/8gs8/ns3y5nY22GgqkViIxx98llN/eWzh/W3TwEynyPX1IMoKoqa5sRa2hZXLuqZ+ioYeH6A4oHLhr47hrHOOwzAtvKpMUDCwwgEe+9e/OeDwvUgMpvD6vGy57aa89er7hff5+st5HHPiIdi2ParF/BD8AR/rbTCRrbfcANmx3TiNnkGckB8lGMYycm6umO1KB30VtYDjqsZEESPhjg/VaBGB2gYSi+cjahq5ni68VbXoPZ3oA30EGia4vj/fYcztINDdP1goAPbcf2fKK0s56+SLCq95982PiN58H3f861p6OnuHZUQdcOievP7SO6y/0dRROU0AN159J+eddQqyLLLBjhsy66XPyK5EbP7wifc4YHwlnR818etfnUZqMMX4jcYTiq65HHtwIE5nR/cwh9vSsmKWt7SNuc3ylvYRDr/7Hbw70bWIeXjjlXcLMRGCIBTGtQu+Wcy5F51WeOyay27hrPNPpWlxM3vutzMn/PwIHEBRFOZ+NY/LL76eRDzJzC03JpPOsv5GU7EMk6++mMvXXy1gv4N3L3RT1XySeTKRKrzfF5/NYer6E5FlmWAkjD8YoK6+Csdx6O4Z4PhDzyKTcTvWF597BZOmjueQI/eluq6C8ZMaeP/tT7jhL3eSTrr3uaWLlrF0cTPFpTF8ozhx/zfwUzGzlrAMA1GWCY6bBLaDkYwjSBJyRQ25vm5XTbPKNo7jIGoeWMt59Y8RkqLmTeB0QHSTfB0nv1p2kP0BFL9nrdvZ6wKiqhGsH09i6QJw3DBJB8gNuMVksGEC2Z4u0p3tBOsnkFreVChCEUQ8xaWooYh7sxCA1RFY1wLJ/gSLPlnAh0+/TzaRoXZaPfv/6hDe/tcbtM53W9idSzqY/fqXbH/0TujZHPufdzBPXP0okdIIXU0dlDVUYMNaJVuDW4T6KqoQJIlcXzdqkULllhvQ9v7sYa8rXm8cwepStHCAo044mOam5RzY3s1TjzzP7M+/ZsLkcVxz6x95/ulX6O7sZb3pkznw8L0p1sBOul1Kx7KQVA0jnUIJqYCAZRgFjo9tmTi6TrZr+KhLDQbJdrW7ShvZDdgTVRV9oA8rlyVQNw5b13FsC8njxcykUcMaWqwUzbEJBP0UFUXYbuctcWybd9/6iKp0JSeeflRhvm+bJpmudiSPFzUUwUglsPUcdi6DoChIeaNEB9e12rEMwl4/nv4ebMNC9mrI/mIEUeToEw5mzuz5HHfKoQiCw+nnHM+H73xaUHlksznmfb2QopIYe+6/M88++fKo381hx+xH0EhitHUO48QIkoQgiajBiNvddGwc2yS5bNGohpWFxVL+OxBUDUR30TSUX/VdBQiiLJFKrug87bX/Lpx5wkhzvv6+Qa69/FZ+d8V5aB6tkDhdXVfF4oVNzJuzcMz3+GbOQmLVRXz2wsdUTarhyD8ey2DXAC/d/hzJftfWYe47c/CFfAimw7y35hAriYJpEyqJrNHnkEWJgb7hPkStLe1ssc2mwFujbjNuQt0wz5Wqmgr2O2SPtequD8VMfPLhF2y9/Uzefv0DwL0nvPjMa1x42dlcftF1mKbFNZf9jWgszO777MT+h+7BBWdfxsWXn8eTD79QSKZ/4+X3OPSY/WhtaUdAoKK6nGcefwlFkZkwqZHjTzsCWZZJJlKUVZTw6Qdf8M+/P0I0Gi6ooGzLKowsM1mdvr7BEd4y8+cuKnDQ/vHojXwzZyH/fPxmspksf/79TXz1xTcsnL+EqppywtHwD5oov6b4qZhZW9gWSiBEqqUJM50c9pS3ogavLzDCPE4NhbFyGTcT6Hu9tYVju635tZVXrku4vilD46Kca0LnDyCI0jqLKfjOx+X1EZowNc9b0l2jMFXDSidJtzajRotQo0UY6TS+yjqXA2pbCJKMmUljZjOIHp9rrmfoWLblEie/IxE4NZhizltfEYgG2PqQbVn8+SLmvvs1Cz6Zz8HnH8bT1z1BJu7eLOa+O4dN9t4Mj9+DIAoc+JtDwXH4+N8fUrtePZl4hlBx+FvecSRERcVXUY2nuAzHtijZYCKxSQ0MNrXhWBbhhkoUvxctn7hbUlpENBqiqqqMY086hO7OHoqKY6iaQl3DzxAQCAY01PQAJFfwj5RgiHRnG97i0oJRn2OZmPni0LFtMl2jyKxVDSMZx0wm8Nc1ku3pwlfhSviVUJhMVweekgpESSDX2wM4KKEIct4A0adY+AJ+MpkcqVSa/Q7aY8Tq2TYNFH+QTFf7igKWfDepuAwlGEZUXaWIIJAfyQioRSUYfb1uR6e/h2DjJGJhHzM2XZ+cbqLrOtFYhPufupVbrr2b9976GL/fh64bbLHNJji2w2HH7M/D9z017HimbzyN3XffGjveNexxORBCECWSyxZjpVN4K2uQfQFXmbSaoFLHMBBVjytrjxa5Ny5BQAmGxiRvrwlkr4f6CW4oa31jDQvnLRl13Ajw4bufMTgQ56zfnsxVl94IQF9PH5IsU1I29s2utLwYENh4901JDaR4+trHCcSC7HPWAcR74zx309OkB1OESyIYukHV5Grmvfc1pmGy60m7oXrXoMC3HaZuMGnYQ7NnzeWUXx6Lz+8dNdvplF8ey5MPP8+U9Sawz4G7sdMe21JRuXZKphkzp/PEQ8/x7BMvc/Utv+fLz78udIeefPh5Dj16P/527194/62PGeiPs+GM9QiGApx23G/YZofNkSSRr76YW9hfLpdD1RTa53WiqgrrbzSVAw/fC1lROPei07jonMuHcdx22XM7Lr/uQiZPm4CtZ7AcBzOdxHQceuNZDN1EH0UQsDIc2+GZx17k+adf5fo7LuO3v/8lne3d5HI63V293PTXu7jwj2dRthqX5v8Efipm1hIOAnpf14hCBiDT3kJo/BQy7SsIY4Iso4ajJJYuQvEH4VtavZahY+s5jGQC2eND8vpAdC29c/EBJEnCEQQUr99dya6FsuWHwA/FgfmuGCq0ho7Ltkxs3ciHTlrYpkGutwu9vxdBVtCiRYiaB8dIkRvowVtWhdHfS7ano3BD0GLFeEorvlObPj2QpG3+cuZ/NA9BgMlbTOWw3x3J87f8m4+eep8Nd96YD55wOQK2aZHoTSAgkI6nUTwqsYooe5y2N0u+XERJddnajOuHnxdRRNI0cvEkejxF91eL8EQDyF4PRio7wlFYVhTKq1yTxLr6Stfkrq0ZraqU1PKlOP3DZaSCLCP7Q2S7O9FVFa14pQubY+MguqqV3EjytWtaqGLqSdLLl+GrrMGxbLRIEYLHiz8QKpg0eiuqwAEzlUD2uCGSQ4WmP+AbM+HazKSxs2msTBqtqBQlGMr7QYlY2Wx+H46r9nEsksuWjDhWf3U9SDKqx4u6SkyZ1+/losvOQc+5oZmRaAifz4dhGhz/8yPY56DdeO6pV0inMuy+z45MmFSPluhlZVaW7Avgr6olN9gLjsuTMTMZsKxh3KdRIQj4q2tdp+dUAiUUQS0qQfb5Eb97LYOkKBSVRDngkD346st56KNwkIbgOA4DfYNssc2m+P1e9jtkT6ZtMJlwJERRSYx/3vnIsGTwIRx5zAG898/XKWuoYNyM8Wxx4NY8e+NTLJu9lO2O3pF9zjqA7uYuOpa007jROCZvPpU7f/k3JFliq4O3WaNiRk/rlJQUscHG05j9+deFx/927T+46obf8dfLbikQvoOhAGeeeyJ2V5azzz0ZURKpnVDznciuG2w0ldKyYro6e/jLH2/mqhsu5sP3PuOzj74kHAnR2d5DVU05/X2DpFJp/nH7v2ht6WCbHTdnnwN35fOPZw8rtHbeYzvOO/USlre0c8mV53HlpTfw4Tufcss//sxvzvzDsC4awCvPv0XjhHo222JDHMMkkeglZUJXZy+JwSRlFcUIooA/4BuxLbgjq1hxFNu20XM6t1xzN9vvsiVT159E44Q6Hrr3Sd54+V1OOO1IikuL/quc0J+KmbWFZZLrG9tiXY/3u6qZZAIlFEYNRUi1NuOmOPe60uF8OrCVy7mtc82DIIo4uFWwIIoogSD64AB6YgA1FHV9VCJF7o1BFBFsB9uysB0bwXEvJIIouNLG/3KB82OCKMlYTq4w4RNlGSubdTs0wTDZni6s3m5EVcVXUYORTJBbOWPKccj1dmMbBv7q+jUenzm2zUDXAPdd+A/S8RUXiTlvzaZp9hL2/uX+PPSH+9lo900KzwWLQmSTGSzdxDItSsuiJPtTzHnrfTbbZwtwnG/16VgdTF0n1dHLwiffGLHKr95uBtJUCW0V2aUoyQVbEl9lHZnudgI1DeT6e9EHBwDXU0iLxPK/c9fPR4uVkO3pLJgsOrbp+i1pHqxVioRcfx++iirMVBLb0EkuW0ywcRKi5sFKJch0tbtdNo8Xb2k5ouZBDITWygtIUlTX3bmmAcvQC/L8XP67l/0BBEEsEDwDNQ3Ylul+93oOb3kVstc/5uIhHA4SXuXc2ZaFmMtQEvFTWhJh2tRTMVNJzEwa2SMhhetwLAtbz7nO2KKAkUqiD/TjK68i0bzU5cI0LSQ0fgqSxztqcr3k9bmkdUnGsSxkrw/b0NFCUcDBWRu36FEQKY5xxq9O5KXn3qSusWbM102eNoGO9m4qqsv517/v4Ma/3MFJR5zDeRedRiqV5tKrfs0Vv7tuWHLz3vvvwsTael57/gWaZi+lu7mTrQ7dlmhFjP72Pt558E1OuOZUwmURkv0JQiVhXrztWcB1WjZXU1ytDH/Iz/xP5vPnG37Hrdf/g+efeQ3TMGlv7WCgf5C/XPs7EvEklmVTWVfOO/e8Tl9ARxZEpmy13ndW7fj8Xm6772qu+v2NfPz+LE7/2W/ZbZ8duOCPZzM4EOeSX1/F+IkNnHfR6fT3DdLb3UdJWRGqprLgm8XDpOEbbDSFTCbL8pZ2yspLCIQCfPjOp1TVVNC8rHXUYgTgX/94nAMP3ZMBw6Gjsw9BELnid9czf+4ijjv5MKZvMo1TzjyW6668bcS2x51y2LAC5evZ8zjxF0fx59/fyN/+eTVFJVGisTCzP/+a8oqS/2p35qdiZi3hOPYIM6qVYVsWWnGZO8N2HIxUEjs/n3Rs1x043dmGFs2bFzm2m0qdyyJqHryl5UjeANmejkIStN7Xg+T146+qJdPRiiDLaEUlIIg4homkaCCAoesIho6tacge3/8J9+F1ASFPAjbig1i6gRKOIAgiyeYViclWNpMvXLpG3YcRH3DnzGtYzJjZLF++OmtYITOEZH+SlrnN1E1vHDYC2PKgrZn14qdsuu/mKJpKoi+OrCks+HAem+w1E38ksFYXVVM3SfTFaZ2/nNRAkqpJ1ZBIIcoS9ioKjtZ3ZxEZV83q+mySqro+JqaBVlSKp6QM2zDRB3pJNK3gcwiihOM4eGKlOI7lmvZVuaMKb3mVG1uwEhzTwNJ1PGWVZPOp645tY/R1FwJKAaxMiuSyxfgqa5CDYRzh21eBtuUmZLuW8kVIXi+2aWBnsyCKBBomYOs5Uq3LCNaNI9PRuiKBXRTxlJTjq6z5Th1I28i5xVs2g51KkulcIfXO9eLaNtQ04DgOiaULkH0BvOWVaOEomc52tHCEXG83OA7Z7nb8NQ0kli4cJtFWY8VokRiZ9uUooTC2aZLr6WJIciNIEoG6cYi+wPe6HpSUl3Dk8QfR0dbFvgfvxjOPDZdJy7LEKWcew6IFS/H6PPz+N3/hg3c+BeDqP93CIUfty94H7MK9j99Ma0sHmUyG2qpK2ua08PodKxRfS2YtZub+WzJ5i6l88MS72JZNV1MnodIwm+27BQ//8QEGuwYA8AS8KJ41K2b9UT84Dkven8/Zvz6FQw7ZB0PXsXIW89+cwxP3uWn1gViQHY7ZCcuw2HDXGXh8GoHod49q8Hg0Xnz3My696jdkM1l0XUfVVCzTZKB/kONOPpx/3PYvDtvrZLbdaQv23G9ngqEAhmGy8JvFFJfE8Hg1DjpiHyZPG8/Zp1wMwMytNuaFp18DXIPGjrbRw1LB9ZBJZ7IYuoHX6+XkI8+hP88feurRF9j7wF2Z9fFXXH7dRTx07xMsWbSM2voqDjtmfyRZYsnCphH7bG5qJZVI8/lHs7nujsvo6uwhkUhRNrZQ9AfHT8XMWkNA9geHyTmHoISjeGIl7gUxMegqacJRQuOnkGpZihIMY+Zy2HoOyzTA0Ml0rmDT27ksqZYmPGWVaLFiJEUtuKNamVSeXOxgDPShD/ThLa9CVFXMfOtW9nixBTDig+64xeMrKB9+TH4A/2kIkoQgKyiBEFY2jVJRRWLJ/FFeKECgGEeUERwHyUxirTROtA23O/BtsC2T1ECC+R9+M+Zrln6xmI333JQlny8iVBJmq4O3oa+9j67mLgLRIMtmL6VqcjWqR0XPGnQu7WCjXWes8Wc2dZOmr5bw6GUPYpkrWvvVU2rY7didaH7u7eGGcZZNbiCBFg0ir6azN+RobeuDxBePTur0FJchiBJ2LuMqeqrq8gsAGdHrw1tR497Y89wLUdVQ/AEE1YMWiWGk3HTobFMHkuZBKypxnU4FASMZJ9PdScDjA23sm7Nl6G6ExUA/tmmgFZejRWI4po3sC+JoXgQBrFQSQZLwV9eRbF4yjE+DbZPtbENAwFOydgaKjuNgmybZzjY8JeXDCpnC7nNZsn3deGIlbtBp81JAQPL5sTrb0KJF6Pnrgz7Qj6e0En9VHY5juUGdqhfHcsj2dGPbFoIsk+sY/j6OZZFYupDwxGlI31NdKIoildXlnPrLnzFlvYk88dBz9Pb0s8GGUzjk6P144qHnOO3sn2EaZqGQGcKjDzzDow88QyQa5p7HbuLl6/7N7OUfEKuMse0RO6D5PXQv6+Trt7+ic2kH/siKAsLBwcwZ3H/RPcN+s1sdvDXB6CrzvjGgaCobbD+djqXtzH/vG0pqS3n22sdds82hzydL7H3mfvjCfnY5cXcUTUHxKGi+737egqEgW2yzCScefha/u/w8mpe18tKzr6NpGvsevDu77LkdO+yyFalUBo9XQ9NU9FwOr8/DSWcew6HH7IdhmCiqwm9+8YcVIydBKBx72/J2Djx8rzGPoayihGVLWhAEkVQqVShkwFV5LV6wlHETG7j5r39nv4N35+Cj9qWro5tnn3iZi684j6P3P63w+hkzpzN3tnvtlBWJWZ9+xW/P+CN3PXy9u1j/L+KnYmYtIUgSnpIykqsWM6KIt7SC+OJ5K7J9HAd9oA8zlSBQP9ElXqUSKOEoitdHvHXZqO+R7Wp328o+f7517K6ic/29eMsqMPPS8ExHK6EJUzHTSQRFJdW8BH9tI0reFTLX242RjCPKClqs+EfBsflvQFI1HMdBKy7FNg0c28qnM68EX5jli3t49e6X6GrqxBfyMXO/zZm6xUSc/nbA+XbeQh5ueKK02oug5tOomVJHIBpgmyN2YM4bXzDv/bnsdsqe+EJelny5mPLxFWQSaRzbdknBa1GQJnrjPHLZg9jmcI7C8m9amP3uXOrG1zC4sBk16McTC2Fmcm5shWm6btXfQuSWPD7UaNEI0zklEEby+nAcG9HrQ3QcHNPATCXdcMJg2OVzhMJux1Jw/YEERUHMK3Bs0x29qJEYSjBEprPdNdfDjTvwV9e5pO1VfGxs2wLLwsmTHIeiNAC04nKQJHfa6DgI+b8DUcv7hjgML2RWQqa7HTUaW7vuzFDEieNgpkby64ag9/fiiZWQ6+3GU1KGmUmh+NwbtJMvUIb+/vWBXleynbHI9GVo//gzjFSGYHUpFTPXw0yMYYfvOOT6e1GjRQi4hPDv06Wprq1g2522JBINk0ykWDR/Kf9+/CVO/eWxVFSXsWDu6KGzAAP9gyTiSXpbe9j1pN0B+OLVz0kNpKiaVM2Bvz0MHIdZL7vFkKzKBGMhEr0rbsCqV2PLg7Zi/R2mr5XgwBvyUTutnmh5DMs0OfmGn/P5S5/RvayLydtMo2xSBYlECiOVQBZkrL44kbIoib4E4ZLRifeO49C2vJO+3j66OnooqyglVhShsrp8xfmqqeDy6y7konOuoKg4xkabro8sSYRCAcKRYMFvZtT92zaGYSKKIpOmjWdxvkvyyQezOO/i03nz1ffp6erD49Eoryylo21kZ/mE045kzux57HvQ7jx070j33wvOvpzLr7uQ6++8nFeff4tZH89mi202Yfudt+LM488vGP0FQwFOOO1IfnfelczcamNEQSCXc92NZ8+ayyabT1/j7+KHwP9MMXPLLbdw9dVX09HRwfTp07npppvYbLPN/vMHIkoIskygbjyZ7nasdMol39U0uF2UUZj+tmFgpOLuxVIQYcinZSyVQV4FkutzjchyvT0uV8a2RmSQGKkEtmEgSzKCJLuZOKJEomnhMB+VXF833ooal/D6X5BN/7chax5MQUC0PeAM/44kr4+29gyP/2VFmnE6nuaN+16nfVE7Ox2xBUI2vhaFoIBtWmy612Ys/2ak+yvAjL02o7+3DzGk8fzzr9HfO8jmJ+1AcUUpva297H7qXkiyxKOXP4goS1SMXzNzsCEs+2rpiEJmCF+89gXr/e5wgo01DAykaJ7fSrg4iq15MA1jzS4KooinuAw1GC44P8uBEI6hk1iygGDDBLAdcn3d5Ho6ESQJNVqMlUnhCBJqKOQS4keBIEuAjRKKkBoaBQpC4fWZzjb8VXVuJ418RpqeI9PZhpVOISoKarQYb3kVmY5WfDUNCICVTuUz1BxsU3c5MKqGpeujEpMLyNvvrw6uXYHhFh75IsZIJlwezurMFx2n0HHSikvd+IlsBsnrQx/oQ4sWk+lwDTiz3V1I3hCdsxbS+dmKrl9uIEHvN01MPnwXRCU1IvAVwMplyXa0oscHUaNFePOdpiH/nrWBIAjU1FYSCYfo7x9g5lYz8Pm9lJa5o/NgaPXdEo+qsefp+7Dsq6XMeXOFRcD8D75h4ScLOPqyn9Gx2B0v7nDsLiiaRP2UUk679UzMnIHm0/BH/Sja2o/+JFkiUuYmbKfjaTY/cCsymSyvvvw2Z/3694Ub98abrM+lf/41qkfF1A0S/Qn8IR/ZrE58MEF//yChcBDHtmluamXuV/OJFUUQJYknH3me404+lNp611DO4/Ww6eYb8c8nbmGgbxDbtokVRSkp+3bCbFhxUKJRevoTHHvSYbz83Jt5rk8nxSUxNtxkPb74dA7XXXkbv//zb7j9xnv54tM5AASCfk4+4xhSiTQbzliP3//mL+yx304j3sNxHC48+3LqG2v4+0PXM+uTr5i6wUS6O3uZvP5EikuLWH+jKWyx9SZce+VtiJLIby49k1uvv6ewj6+/nMf6G05Z6+9jXeJ/4q728MMPc+6553Lbbbcxc+ZMrr/+enbbbTfmz59Pael/lnAkigLp3m53hZjnAQzFFmWSI0dPQzDiA6iRIiRVI9G82FVTrA6CiK3reeKhD0FSCg62oqrhKS51V1iSBF4fjuPgq6wFweV/iLKKtYopXKa9BSUY+v+ymAGQVc3lS1gMI6KaSpBX7n541G3mffANWx+6NcUNE9aYbDp0fssaK5g4czILPhoeWjht+w2I1hXzyUdf8LvzriooPG6/8V6mz5jGlddfjKZovPvgGwx0DbD/eQcRiK65669tmsR7Bsd83sjqKKEAj1z2LwY6BwqPv/7AGxx64WHUTKlGNIzVFm+OaZJub0HUNHeshIBtmejpFI5pYuk6ggC5nk681Q2ofn+eH+RgpdPk+ntQfAEkzTPivAqCCJJCts1VBQ6pj4zEII5luXwzx3WWtg0DK5clsWQBQzwRNyE6hRYrIdAwEb2/l3TLii6NqKj4qmrJ9HTiLSp1vZO+pem1uhu+4zhYes71eBGGcsIEBEHCyqbRYsUu92UUyL6A69UEkCf/W9k0vopqEksXIcoSSiiMER8Ex8ZIZ4cVMoVjsCyWvfoJDbtshN43kj8he7zo8QFwbPS+bqxMCq2oFFvPuSPt78AJCoYDBMPDCxcjmyMUDDBlvQl8M4q3zMytNsarqoTHVfLcTU+PeN42LV664zl2PmE3JEVGEBwCHhuP34cajq7Tcbkv5MNjabz1xAdc/adbhj33+adf8fNjf80Vl/2WD/71FhvuMoOJ20xlMB5neXM7ne3dTJ42nssuvm5ELtdfbr6UZ598hYOP3JvSspLCc+UVpZTnCbKpZJpsJjem+m4Ioqzg2BaamSUcCXLbP6/mD+f/lZZlrfz2zD9y6z+v5qN3P+O5p17h77fcz4mnHUVpWTG6rtPd3UckEuSCsy/n9HNO4PNPZvOL807E6/UUDPJWxmHH7E9HexeX/Ooq/nbvX/jkw1mcf+mZDA4k+PSjL3nm8Rc56Ii92XzrTXjjpXd4+bk3C9tWVJfzzdcLqWsYmyD+Q+N/4q527bXXcvLJJ3P88W4uym233cZzzz3H3Xffzfnnn/8tW69biLKCEghiDPRhqa4xWLa7g0D9BLewGINcL4iSe/G1TDBNBEFAVNRRV1FDF3fJ40Xv63HDLHEt+dVIEWo4Rqq1ybU2F0UEQcRXWYOeSpLt6kBUZLRoMWJRCanlTcP2bSbjyGvA+/i/CteUTcFf00B8yXywbUzDId4TH3ObzqZuysev+R+pIIqESqJ8/d4cdjxuF6bvvBFLv1gCAkzdehr+SID+RIKLz71yhGfHl599zYP3PsmhB+2FLxzglJtOJ1IWXWMVk2NZ6PEBqidVjfmaoupielp6hhUy4N5IHrvqEU69+ReEvqV97zgOnpIKHNMgtWwxlu6SXT0lZajjJrmk1Z5OPFW1qH4/me4O1ECIZEtToTOWxSXBBhsmDLuZCqLbPRmSUQuiSKazDV9FNYLmcV1xBSFPYnZIty5jNI95t7Ppuh8P+5yGTqplKf6qOiwjh6woiKo2dv5RJObGXIwBS8/hmCa2nkOQJKxsBjObwVtSTq7PjcWQfH63izsMAt6KKtL5ok1UVcxcFkGSyfX3ERo3iVxfD0ogjBYrxdJzxJvHVlKmO3tBHOV3IopIXpeHUzjmTBpBFMn1uDYFwXGT1onNQiaRxTYsrrjuIn5z5h9ZOG8FyX6DjaZy5hkn0PpVM/7w2KOVrqYuyhrLkSUB0gOowQCyP/iD8P56uvuHKYZWRntrJ90D/Zi6Sev8Fmo2G0c2q5NMJJm24WTu//sjwwoZgEwmy29/+Ufueuh6Bvriw4oZgLaWdtraOjF0E8MwKC6JEY6EiBVF8I7iFi37AqRam/AXleITJVS5mlvv/TOZtFuMBFWR3Xbfhk0235DBgTiiKPLlrK+57fp76Osd4BfnncDW281k2VL3N3bDX+7g5n9cxa9Ov7TAnRFFkUOO2pepG0zilefexLQsIrEwD9z9OHvsuxMN42uJlUTZevvN+OLTORx74C8KjtAAXp+X2rqqUQuk/yR+9MWMrut89tlnXHDBCtdJURTZeeed+eCDD0bdJpfLkVspwyQeH/tG9V0g+wLoA/1IXn+hPZ3r70GLlZBuG2WsIIpuojaAbRMcNxlHlFx1QtPC4aMpUcRf00Cmqx1PUckwxY0+0OemT9sO/mo3edqxLLdIymWRNY+bf+RxpZoO4KusHXZMtmVjm+b/t92ZIUheH+EJU9EH+7EzjEhQXhmewNoTAGVNpXHD8cx7by4169Wx5SFb49gO9/z6Tho2HEe3mhnTfOzJh5/joMP2on56I6V1a2fSZRsG6eXLiBSXUVxbQk/zyI7ATsfvymv3vDLq9qZu0rWsi3DJ6juHgihgppMF9RG4HcFUSxOe8irXRdc03Nyu5cvwFJeSbFk6YsRn57Kk29wk9SEjSEGUcMwsgiyjBENke7rwV9cjiCJmOu0Suh0HRxAQ8ynoY8HKdzKHODdDcCwL27IwMylkXwAEkUDdOJLLFg8raFyFUfWoJpVDHRlbz+W9YKR8dlQKrbiExNJFBBvGEV80n0BtA2YqSa6/F8cykf1BfBVV5Ab6sTLp/DEIZLvasXNZ/DX1pNtb8JZXu6MgyV0MIYxdzACFbu1QKryoefBVVI9KQLYyaURNw8qkyfX3FkQH3wepTIann3yJh+9/ipPPOIaqmgr6+wepratEQ+GFa59ii4O2HrMTNmX79WmYOYHHH3ue/r5Btt1xcxrGByn7gbh+uVyOzo7Ru2YAC+YvJlZZxFbH7chLz79BbV0Vne091NRV8/JzozsHp1MZOtu7aRxfO+zx1uUdLF7YxKsvvM2zT76MaZhIksTOe2zL6eeeQCgcpKg4OmwbUVHwFJcVcskioQCRoIdcn+F24BHwBKPYgsDzT73KA/c8jp53oo4VR9lqu5k4jlMoKmd//jXXXHEr9z5+Cz3dvQz2xyktL8HB4bmnXuHBfzzB8aceTiKecD2T8qReVVHIigLz5i5ig42n0t3Zy/y5i4hEw1xy1a/4x+0P8rsrzvvO38O6wI/+jtbT04NlWZSVDb+ol5WVMW/evFG3ufLKK/nDH/7wgx2TpHnc3BjTdLsxgDHYj7ekHDkQcjOB8hBkhVDjJDJd7eiDfW57XFXxllUhyDKhcZMxki6fRvL6XMWToeMrqyTb2zWCg5Pt6SI0fgrJpkXDLtBKKIK3rJJg/QRy+W6OIEloRaX4q+tJtS5zfUoCQddjw1GQFJcY+/+j0kkQBCTN43oCOYOM22gciz9fNOJ1sipTUlPseoaspSFUMBZig503IjWQIpPIoPk09jhtH5q+Wkp3S8uY2w1lqhRXFa/15zIzKcBBSHZz6PmH8O5j7zHn7TnYpkW0PMrOx+9CrCxMb8vYF/BMIu2qh1YDx7aHxRIIkoy3rMJ10c1HXHjLq1w/pWymkEY+Ggqy90IxI7rhiGWVGIk4vvIqEEWMdMo1tRMEUDVEUYRvCwMVpTGLVFvPuT46+dBLW88RrBuHbbv/L3+LMaWt58j1dLqd0/x7SD4/vrJKtziIRNEH+wk0TMRMDiIoCoH68e7fmyiSalnq/t37/Pir6/Ku1Tk8pRVY2azboRUEN95BkjENg0D52E66weoyHCuHv6Yx7zsjYqVTpNuasfWRHWCXXOyeP2OgDzUcxXJy36tD09zcyq033APAn/9wE6Io4vV5yKSzXHPT75FVhXEzJriWBassIKbusD4Jj8nPjjqr8Nj9dz/KtA0mc+1tf6Siau0K+2+DkdOxDItgKFCIC1gV1dUVTNttMi3NbdQ11HDXzfez78G7u/LqUQwAh7C8uZ1pqzgOty9v54VnXuO5J1csJCzL4qVn3yCTznDCaUcRiYaG8WhczzHXU8k1iJTABk9pJeAgiBK5vi6U/l6OOmRHDjhkN9pau/AH/ZRVlFJaXsxA/yA+n5eS0iK6u3qZO3s+xx54Ov/69+0kBhPcfeu/eOu19ykuifHbS89kmx025+gDTmO7nbdEVmTuveNhqmsrmDCpkfET64nEwkxZbwJl5SV0dfTwwD8e54ifHUj4W7hSPzT+TxqRXHDBBQwODhb+a1nNjeO7QtI8SF6fW5hUuESv+JL5eEvLCTRMRCsqQSsuI9g4iWTzYrfVnf/DtXW3ze1YFvpgP7IviKS5mTPxBV+TXrqQ5LLFaJGY++NdGbaNnb/orQwjPkCutxvHcUmXtp7DyqRJL28iN9CHr7waJRTGsayCOZ+ZSWMk4+iD/ZiZNNYoF7z/65BUDV8kxK4n7UZoFcWCKIkc+JuD8XrHviF+GzSvRqwiRll9OenBNIIgsPHum7D51puM+vpNZk7nqdf+iWXbNLe3s3D+kkKA3JpgiKjqWBYMtLLLz3bitFvP5JQbTuGIiw6ivFhAdExCxWN3XtaEbLyyvb4gueGPub4ekk2LSC1vIr5wLpmOtkICub2qemzEDoefX1FR3MRnRcn7Mzlu8YJLmBUEAcG2wLGRfGOPLIYM5EaDpHmQA0FXeSQKCJKEkXELJiUQct1zxyhkLNMk199b8IEpPJ5OkWptdrcPBDESCczEAEYijpGIk2ppwjZNbNPEU1xGaPwUfBU1LsdIVgiNn+JKtrs78BSXunlWQ10WWcGxslRvs+Eon0WhftfNsTNJkk0LAYdcX4/rfDza33W+mC9cRwQBK+Mq58xVri1rikw6w313PTrsMdu2SSXT2LbNow89w9ZH74DjOASjQXY6bpfC60RJpG6z8Vzz55HGbV/PnsfD9z01Zrr1d8VA5wAfPfgOhx6576jP+wM+Ghvr8Ea9fP7xbBYvWMqpZx1He2snA/2DbLndpmy86QajEp4nTR3H3K8WsHCeO4bq6e7FNC1efOb1Ud/r7dc/RJIlujtHdt5c924Pii+A7PEi+wLIHg+yx4ukqmixUvyVNXhViRKvyGabrcf60ydTXlmKKIrEiqLUNVRz+wPXMGFyo/vZ++Mcd9AZTJo2kV/++iQeee5Obrvvr0ycMo6j9j8NwzA56YyjueKSG9hgo6lUVpfzxMPPM33Gemy48TSMnOEuCCWRXffcjvKKUnJraGD4Q+FH35kpLi5GkiQ6O4df0Ds7OykvLx91G03T0L4D031tIYoiouZFiMgo/iC5/l6yPV0o4QieojKXjKvnRnXtBFdaHaifQHzh1yMu5rahk+3pRI0V5U2wXAy5fI6GXH+Pa6a3CsxkHG9JOZI/QLa7HW95NXY2Q6p12QqJsiDgKS5DKyr50UUU/NBwBAGfX+LYK35Gx5IOmr5cQqQswviNx6E4GRS/H8cycSTpe3WxImVRkv0JEj1xGsfX0TC+jqWLVsjzZ8zcgIsuP5cP3vmUu/52Pz1dfUiSxA67bMXZF5xaUEesDvLKN3bHbXb4AzJiOEa2pws9l0Mkzi4n7Mbjf3l0xPYTNptEMLYGacQrEWK9pRWk25eP+J2b6SSZthbUUARpNX+PgiwXghELj+VdsuV8lIFjmXmXawlR0zAG+sh0tiFIMv7qOlLNS0eohrwV1WOqkERFcf9TNcx0GtkfQPJ43QJmDUIZnYI53UjYeg5Et+sgSBJKOOJ2eFQNHNs9blHEV1GNmc2gD/bjKS4l3daCt6QMI50kUDcePZ1CDYSwclkkVUNUFLwlZe5IrGoXur5YiJHMEKqvoGhqI5IqoPgrCosrb3GZOwrLpId/N4KAv6qO7ErHr0ZiZHs68dc0uN00fe07NG5WT8+Yz3d391E9tYbuRR3EKmJEKmMc+afj+OqNL/CF/HzwwWdjbvvoA89w+LH7U1pW5HbTvif0rM6slz5l4ScL2O2MvVi+VxsvrURojRVFuPKai+he0IEW9lFeWcry5jZeef4tps+YhtfnYZPNN6K3q5fDjt2fgf5BrrviNrLZHBtush6qptLfN8gZJ1zAPx+/BV3Pkc3kVtvNGegbxOvzMOuTr3AchwmTGyktLyYcWf3fo6SqSGoMZTUEaVmRGT+xgTv/dS19vQNkMzmCQT9enwfbsnjrhfd55P5nSKfSbLfTlvzs1MO4628PcOxJhxAKB3ntpbfZ+4BdOP243yCKIhdfdg6nHHku3V0riq/J603gmr/9kZq6tVNeriv86IsZVVWZMWMGr732Gvvvvz/gVvuvvfYaZ5xxxn/34PKQFAXLsd1CQpQwU3GyPR04gCiPPYO29ZzLIRhj1W8k4gRiJcMump6SMnL9I6t3UfO45OIxLt65wT7kQAhRdQmUyeYlw9/Xcch2dyB5vP+nixnbMLD0HGYq6XIy/AEkRUHwB9D7llIetajabZLrSxP1guMhvXwZjm2hhCJo0aLvfH58IR8N08eRGkiiZ3VuvutKbrvhXl589nUM3eB3V5zHx+/P4s+/v7GwjWVZvPri2yxbupyb7r6CyurVW2yKiooaLcJKp/BV1mBm0giygqknUENhPPnMpNpincMvOYrX7nmF7uYuPAEvM/fbgg13nYFvNeTMIQh5bxjHMFzexRgFu5GM4ykpd7kpgWDBI2lleMurRu2AOJaJY5oIspovnhx3JJTNkMmbwzmmQaajFX9dI2YyjplOIyqKSxxWFERRxFNWQbars8DXkbw+/NX1OIJAtrcLT0n52nNFHGu1kms7l0Py+dFiRSSb3NV5MO827C2vxNZ1ks1LcGyLQN14zFTC5fdoHnzlVQiKgjXQi+MdUoG5kDQNX2kZtmlQt/Om7hhKErGyGSTFR7qjDU9RCenONgLV9ZjZFP7aRhzTwEglC6v8XE9XYRwuDUnUM2mXS5TL4jg2QiS2VoWDP+Bj0y02GlXFBLDJ5hvStaidV+54kVBxiL3O3I85b81m8pZTKakt48Mb54y572QihZXLuaTyorLvzfnLJjO0LWgFx+HlW55nx31ncsRRB9De1kV5TSlC1uaTx96npK6Ugf5BSsuLKSkt4vVX3iWTznDcQSvuPQ/843E23GQ9rrzhYt5+/QP2PmBXerp6+ei9z2lv7aSzo4tgMEA0FlntMamaimmYvPXa+3h9XjSPxpJFTczccgaR2LcHzK7JQitWFCVWNJyXE42GOfTo/dhh162xLRuv30tbSweWZdOyrBWf38due+/IL372Gzo7erj/yVs56+QLhxUyAPPmLOTPv7+RK2/8HcHgd3dN/q740RczAOeeey7HHXccm2yyCZttthnXX389qVSqoG76MUBSNdfV17KQvX6wHTeBeXXEtTVZ5Q9dyAQRT3EpSjBcuJCDgL9+HJKsYOVVEEgSSigyIrlbABSvH0nR8hLN0QuoTFc7sj/4X02//qFgGzqJfBpxAYKAv6YR2eslUN2AbRluPpYske1sH3YerUyaXG8XoXGTv7ObqqIpBZ8LgAv+dBannHkMtuNgGiZ3/e2BUbdbOH8Jy1s6vr2YkWW8ZZU4lkliyQIcy8Jf04ASCJLpbB/mXF0c8nLEpUdi5HRkVUW2M3gCmhsB4NgIojSmuZrjOARqGkg0LR6zUzgEQRTdoiZWgqF6yA30gm0jKiqe0gqUQHiMC7FAsnkJofFTXHM9WUGQZFLLh5tNWtkMyaULkQNBtFiRO7LJG+QJooSnuBwtUlzwgAHXIVjWPHjLKr/bSl8Q3f+cMTo/mgdb1/MGjUb+9a6CMTfQi63reIrLkP1Bcn1d5Hq783y7BEgu4ddbWrFC9WhbBVPBoa7SEGzTxJEM9Pgg3rJycgN9eIvL0OMDyD4fVsb1wlIjMXDsgjeWa2AYdp1hlzcVPo+oaSQWz0f2B9fq3CiKwqFH7cej9z8zQtni8Wjst/9uPPWHh7Atm7KGckRRJNET59kbnqKopoStd9icR//171H3vcnmG6IKNtnOLhRfEPHbrC2+7Vg1OZ9A34Jj23z21Idud9rvYbFX49CLjmDLA7emac5S/H4vxaVFtLd3suOuW3PG8SMVtF98OoeZW25MdW0lmqbSML4ORVHYYdctkSSZbDaHJItsusVGfPLBrBHbT5jsRpvcdPXfee+tjwF4/MF/c/QJB1PXULNGxcz3gc/vo67BlYl3dnQzMDDI+EkNlJQWI4oC/b0DtLZ08OebLiGbzdLZPjrn7p03PqS7o+e/Usz8T3BmDjvsMP76179yySWXsOGGG/LFF1/w4osvjiAF/7chyUo+NFJC8vnxFpWg+AOuUmOU4kCNFBUCEEfDUGs6UNtIoLbBnf0LLjkSIDRhCnpfD/FF35BqWUqyaSGJxfPcoicynCioBCOuoZ4ij+DbrAy3W/TftaX+IeDYNpnujpHyWMch1bwEx3FwBBAkxVWc5HIjCkJwxwuZro5vNVFbUwQCfuoaa2gYV0sumxvzIgGuMdWawXGPMV9kpFqaMJIJvBXVBBsn4ausxV/biK+yGuJdCP3LcfqWowZDWLkMmfblZHr6SHf3ke2PY63CVXAcB8GxyXS2E2qcWPg9jgXbtvBV1SFqHtRYMaHxUwhNmOoWWaHImIWzIMmIikq2s819z/z4Z6zfr5lMuPEF+d+wbVkkly0m3dbsJnOrGrLXh+z1oYUirsfNdxxZCJKMVjQ6QVuQFSSP1+0atbuGd1rM/Xt0LBM1EsNbXk2ur5v4wq/dQsYXwFdZg+gPInu9BTdiM53CTCWwc7kxVVuiLCP5/Cj+AI5lI0oy2e72/MhRQFBU9MEBzJRr4pfr70OQZURFIdvd6RYyto0WK8JIJNxOkCiiD2VUrQUqa8r55xO3sMFGUwuPTdtgMn//13V8+MBb2JZNIBZk5n5bcM+v72Te+3PJJDIsn9uMD4UJkxpH7FOSJM45/1TkjCslznZ35DO3vju8QT+b7DNz+IOOQzaZId49QLI/QePUEvY4bR+qaipZuqSZqqoKPn5v9aOwbXbYnMHBBE8+/Dxi3jbDcWzXB8zn4eLLz2HKehOHbdcwvo7f//k39Pf2FwqZIdx/92Mk4slh4Zw/NGRJYnAggSiJyLJENBalu7OHktIiJq83gb6esX8XjuOQSq5qQfCfwf9EZwbgjDPO+NGMlVYH2zRwTMNt1UoS2LbrGFw7nmxvZ8H+XfL68JaW41jWClOsVeAprSDVuqxwYZO8PsAhUD8eI5lAH+gbccN1LItE0yJXJZX311AjMRDAEURsy15tvpCUl3f/X4NtmgW/npFwMOKDiJrmdggss+BqOxrcXKxKJHHddq+8fi+appLLjU5YLa/8doNIx7ZxbGeV34VDtqvd9SBS3TGUnU6iD/QVXjH0G7RMC9MQkGwHMLF0EyOdxRMLoXjdbpTj2ICAreeIL/oGX1XdmHllaiSGkUwgqTrZrnZX/qt5EFUNUfOsNuFdkCUCNfXElyxwC6KKGndM4vGMGREgDY1bRZHEwrmFsave34unrAJPUWmBE2PpWZy8S7I7NlPzJONvh6QoeIpKXXfvlW767uKjgeSyxQXbBjkQQisqxS0sFEDEscyVMqvc8aed56mYuaxL3m9tQSsuBoS8VUMpjiAgj1I8ipKE6PNjGTqKFCbb1U5i8TyUcBRvaQXekjI3FsK08FXWkG5txizkjgmo0Riy1+9Go4ii63r8baTtUSDLMpOmjuemu68qeJEEA37ee/BN2ua7HeWNdp3Be4++MywzDOCde17jkkvP4cVX3uSJh58nk86w8WYbcO75P0cxBZTyUvTu9kIkCWupLlwVkdIIu568B6/+4+WCW7Ygimx96LYUVYRRvCqyIlNUEqUmVYUgCsTjY9+oBwcS6LrBvXc8xHGnHE5ZeQn33/UoH7z7KYGAnwMP34vtd9mKS676FZZp0dnRTUlJjEAoQHNTKxeec8Wo+33j5XdZf/p/zl23qCTmysSLogSCAcChuq6KLbfdjGwmNyyqYVV4vR4kWWJwIP6tXJ91jf+ZYuZ/Ac6QDNW2MRKDw24WciCIr7IW2RdwL+SSjJ4YJNO+nEBtI5LXT66nC8cykTxevOXVOLaJY7vFhxotQgmEMFIJcj2dBOomkFg0RpChbbsOnyXlyJpL8BJVDdvQsU0TJRQh09U+Kr/GW1a5RgTI/zk49ph8IgDb1HEce8x8nlV2NppH2/dGIOBn7wN35fEHnx3xnNfrKdiFD6lhBAEQBMx0GgTyoy8hr97J21Kvctx23uBNjRZhppMFpYsSDJPp6kD0RDFScZa88S7hxmoqNpuGldNJtHSihfxImoYa8mGbJt6ySlLLm0i3txCoG0+uR3QDVvNQIzGUUARBksl0tmIbOvpgP97yKgRZWm0hAyBKMrasEho/BWOwn0z7crfjWTZWUKiIHAi5qqTBgZG2Bp3tqKGoW/ABuZ4ecj2ubb4gK/iqatwR6xr+/gVRwpsPhXVME0EU3WuAYeKrqMY2TdegUnRHTI7lkoaHunpqKIyRTiFKElqsBAcBM5NCEESUcLTAMRIVmUBtI44DjmHgyMqY4z9JUTHRCTZMJNmyFGOwH2Ow35WMl1e7xoCWgRwI4iktd8+RKGLEB9zk8IaJmCn3hq2EvvtoIxoLE4mGSPTFWTa7Cdta8VssbSjjnYfeHLFNNpXluaufYK+z9uPwo/fHcRwkRearWXN58bk3KCkt4sBD96Dcu3bjr7EQKg4zZZtpNGw4jq6mTmzbpryxHAUTMTeIXFpfeG1tfRVtbZ1st9MWPPXI86Pub8bMDXjj5Xc5+oRDKCkt4riDz0BVFfbcb2cmTB5HbX0Vy5vb8fm8hCIBiktjDPQPksvqVNdWcOLpR/H3W+4fsd/BwQSGafL9YkLXDhvOWI9nn3iZnffYln8//hK77bMjjeNryWayxIqizNxqYz567/MR2x1y9L5Y+Typ/zR+KmbWIdzgPAF9sH9YIQNuCzzV0oSvqpZk0yIc08Bf24ggiiSXLUYORVwzPcvETCVItzUjhyL48soEfaCv4Pjrr2kAnNUSEK1cDiUYItfdibeskkxnW2EFqYSjhPIXu0LLXhTxlVcjr5KXY+o6DMlDhzwvVO1/ypvGzLljh5UjDFaFuypNuTejdApfdd2YnRw1EvtBTAfLKko48fSjWLqomc8/WZFZ4/N7ufnuqyivLMXUc/T19LOsqZWXnn0TzaOy5947UBxUUTJxvBXVKMEwwcaJpNtaXL7EiOOPkmpZhq+qznXPFUSsXBY1Ukp2IMXS59+laEoD5ZtMZdFTb5LtX9Glik6spXaHTZE9Cjbgq6oj09lGsmkRvooqvOVVeY6IG28ge3wgyQRqGgr7WJvfj6yq2PniS4kWubECjo2/toF0a/MK2bKquqMsVUNPDJDN5xmtCn2wH7WoGGwHrbgErbiU+Pw5eSfjJQTHTV7jYsY1sXM/h2kYmMm4mwAe9OHg5oEJuJ4yoixj626iuKvKcgsfj9fv2iXklU+ioiJKMslli1zvnvIq18tqaBtRwTYNd0y0qm3D0DlTVGxJJlA3Dsd0F0SiLOPYNsnmRQRqGpE0D6mWpkJnSFAUArXj3OTtvi5XCKB9d6dwx7ZI9sX5943P0L6wlUMuOpKvXv+CyonVxMpjhc+/KmzLZqCtn6WfL2b6PptywuFnDRu9PvrAM5x34WkcdOQ++P1edxFiO25RJklIaxmiGYyG8Ac8RGI+9OQgdjbhKjo9pSP4jpWVZTiWTX1jDU1Lhtt9SJLEGeedyNmnXMw+B+3GjX+5g73234XNttyYx/71b9545T0axtVy0JH78PzTr/Lai29z9m9PZXlLG6+9+DZbbrsZ+x+6B7vvvSN33fYArS0dfDVrLo7jsPPu2zI4EP/WzKt1iaLiKAcctifJZIrZs+by2IP/5t7HbiabySErEqefcwLFpUW89OwbmIZJIOjn0KP3o3FCHXpOJ51Kk1AVguE1j2H5vvipmFlHcBwHx3Lb76sWMkOwMik3RDLvMGrEB5D9QYz4AGZ8ADMURpRkcn092HoOvacTvceVpAuSTLBxousPke+yjBWHAK5EV5RktCLXeXXlID1jsB/HtgnUTwDbvZCKkoyoDr8QWEPt7rYWHNNAkGTUaAw1HENQFWTlx616si03HdvRs6TaluMtrSC1UkbPECTNA46DmUq4HYtkHNvQRx3/CZLsEjO/R+rw6lBdW8mVN15Md2cv875eRElpjAmTx1FeWYII9PQOcOG5V/HxSiTC++56jKOPP5Bjj9oT2pcjah7MTApPeTVYJqnmFZbrarQ4P9LIkl7ehLesikx3hzvbF0Ra33X3W7H5+ix47DX0xPBiqH9BM7LPQ+WW05FlEcMyCdSPQ3AAUXRdeT0+Nwl75XP0PYo/t3Acvr2oqMi+II5luCKnIXWVaZJtG72QAXcM6xgmmbYWBFlGKyohNHEq8fmukibb1YZY07DmBY0s5wt8FScYZqgbJknyiN+IlO+SOqbh8tJk2eXXaR43k0nXsQ2dXG8Xks+Pp7iMdHtLQQEmqiq+ihocjxdzoB/ZHxiWNj7suEQRQfNgi3p+kQWp5W6EQ6a7HdkbINg40S0oBLfLZOk6tp5z4xOKSr6XCMDSdRJ9SZbOWsy4GRMQJZHtjtyBkroyZr36ORM3m8T8D0fvLFdNqqZ+43HcdO3d5LI6u+61A5Ik8vnHs+ns6OaaK25l2522wFNZRKa7c8WYTxTxlpSjrqXi0DVGVJF9LgF2dX/bVTUV3Hb/X7njxvt49smXMXSDjTbdgLPPPwWPV6OvdwBBEDB0g9qGan51+qWFbduWd/DeWx9z4Z/Opn5cDRXVZQRCfuoba6iqrUTP6Sxa0ISmaWy13Wb8/KxjeevV94kVR4cp2v5TCIWDBIJ+GsbX8u6bH3HY3qfw8LN3IokCmkdl/elT2Gn3bbEtG8uymP35XEpKigiFQnz64ZfMmDn9p2LmfxG2oePgrFZqDeSLAmnFamylFaqdy6Gn+/BV1mAkXDM7HAclFMZTXA6iq2wYkld6yypGKDtgxR+nY1t5A62RMBODOGUVCAhk+3uRZBkttuICZpmGm2HTvBRwXPmq14ve30e6rRklEIRoMQgC8ndU9vzQGCKCpttasHNZjGQcf3U9ma529zlBQA1HUSNFpFqW4FgWkqIiahqZ9lZ8lTUowTD6QF+e2xT5zqF8a4OKyjIqKsuGkSgBzFyW119+r1DINIyvY8KkRlLJFA/d/ww7774NlSUxln69hMceep5cLse+B+7KlGnjiXhVJK8HBJF0qxtvYRuGOwLBQfYHMFI66e5+PLEQeiI9opAZQs+cxZRvMg3B48UTibkcBlzjOUlScPL7dvLjOEF0XXu/r1X+yhAEIf9bHb5PW3TG5O8ArgN2NlPgixjxAbTiMkKT1ic+/yvMTMbNflrLUasoSiO8ckZ9nSSNyvWwDR0rk0IA9PggofGTXTXaStEKtq6TXLaYYOMksn3d0NPpdl9UcdROl5Bf+Fi67nYtvH4Syxa79gKKgq3nMDNpzLQbhinKrhpS9gdHmnWuBRzbRh/oo22R6xBdWl9GOp6ifnojD//xASzL5uALDqdtYSuJ3uHctG0O357l81qonF7H9E2mceix+7leOZbFMScfSmIwwXmnXcpbr7zPQQftMoyvhO16+DiOjVZU9q1jzBHnaw0XKJVV5Vzwx19y4ulHksnkcBwbj8eDKIlsue0mCILAQUfswwVnXz7q9jdd/Xfueuh6Otq6UBQZvz+KLEuc8/NLhpFrZVnihr9fgW3Z+P2rD6T8oSCKIvsfuicP3P048YE4R+13Kg8/dyc+n5dwNISqKOTsHD6fl6qacizbxuNVuevWB5gxc4P/6LH+VMysIxjJOEog/K1UCkFR8h0cUIMhMitl24iqhtXfS7JpEUowjLesAhCwbcvNYJKUYQRFyRfAW1FDtqut0G6X/UF8lTUkW5bir/iWcETHwXYcjL5uLEV1icJDT5lW3s/GQYsV51U/K7oaViZNtrebYN04TMdBUrUfrFvxXWCbRr5bZrlk6/y4TpAUAnXj3M+u59ATgySXLSoUoKnWZgJ149DjA2S62hFlGa2kzLW2H7LQX9fHmvdTcfL5PkLevn7V1/QPJPjXPU9QVl7C+X88i+6OHj796Euqays5/LgDmL9gGfPnLeXKS1f41Lz6wttssNFU/nL9BXiWL3VVOLFitFixq2JxHIL1E9xxiQBaKIAa9JOLp/AWR7BNi9zA8MLAMS2Xt5NzC0JRVQsFnmXo7mrftgvcMVvPIXl9qMHICpL1Ojt3Fo5hYGYz7s3b68VbUU1i8bwRiwolEAKE4TdA3GRvLVoEuDd/VvqOHccpjHh+KNiGK6vW+3vxFJfiKSnDTCZGDb0EyHQsx1dZS2LRN+iDfSjRYuTVFIqSLBNfuoBA7TiwbXK93YUUb9kXwFdd53aMHce1lvD5v1dXZoh75gu5N2BTN5EkkcGuAbIpt0P8/M1Ps9upe9LX1kfL3GX4gj423mMTREnkm/fnovk1auureePld3nioefIZLIoqsLe++/CPY/exGsvvM1Xb89l6sZV2Mnh32e2pws1HIMfKM8JoHlpK2+/9j4V1eX8/eb7WbRgKVU15Zz0i2NwHBtVU8mkR/deSsSTdHf2ctbJF+E4Dmf86kTefv3DESoh07T41em/5+pbfs+Lz77BtjtuQWl5Eep/2DajpraKa2/7Ixeeczl9vQPsue2R3P/E35i6/iT6evpJxBOIosikaeOprCrnTxdew5T1JhCJ/rBy8lXxUzGzjmAmEyjBCI4goISjIy6Y4HpPuCseJ69MEtzVMa4LqiDL7oVE87jcmWwGLRJDkWRs28LKZArcD3BXXpZt5bk2Vr5VnXPn7aKUV04IiKqCp7SiMAO3TZNsVxuCKBVWsM6qHSXHxsq6Fx4lFB29w5NfCWnFZQiCuFqX1/80HNt2+QqyG9CXXLZ4hf2+ohCsn0Cmu3MEp8SxLfdm7OCO9cB1cy3Y6X+PY3Ict4NnWQXfEQFIt7cMUx8pea6UkB9VCKKIY9mY2SyaR+UvN1/KL0+6kI62FWaKD9/3FL+6+Beoo6Rrz541lzde+5C9t13PLUK7O1CC4bxlgAaOQ7Kvj7QpENt+I+xkhn5ZYLaVwx/wsd5mM8ktbCG11C28RdUdraTbm7GyWWSfH191PbLHWxi3OkaOZPNKwZJ5x95Q4yQkj9cdfeQlwJKiEo8nsC2bYCgwLJtmdbByOXIDvcPCLod8g4LjJpHt7sRMJtxxUrTI/ayCMIykPAQjMYgSDOEprQDLJpfsw3EsJNXlWQmCgBwIrrOuXCFp2zQRFcX1m+nvxbZMtGjRSl5SI2Gm04XiKtffixKKwersrGQFJRAmsWR+weV7iPgryLLrayMIiPngzu8LQRARFIXS+giyKrPw43nUb9CAba+4vgx2D/LYFQ9RWl9GWUM52VQWx4Fkf5LpO21EW1cXb776Po8/uMJ3xtANnnzkeQYHE5z1m5N5646XmTBjHCOO2Lbd39cPhPa2Tu698yHW33Aq5//yT4XHW1s6+MP5V3PMSYey/yF7rHYfum4URkcTJjWOmdydSWfIZbPccs1d9PX2c8Bhe1G1GjXRDwGPV2ObHTbn4efupG15J6lkCgdQFJlAyM/k6EQs2+Kd1z/ktGN+jaqp/POJW35SM/2vQvLlLe8NA29pBY5lDQuclDxefNV1WHoOT1klsuYhubwJAFHT8FfVIchuqJ2RjOOrqsNKJ0k1L3X5MaqGt6wCM5fDcRxkjxdR1VB9ftJtLXn1hEFqmcuP8FW5qy1PeaVriZ7NuC1Yy0IJBPFX14MokelwW8FqKDKckCe6xYljm1jZsRU+ZjqFRxCwjRyiMrbK4j8Pt5Cxkgmy3cOjMBzDIL50AaHGSeiD/W6mle2eF09xGZahu+Zrho6kaNg5A0n7fqshx7Yx0ymXJyEI4Ng4jhtpserN1YgPkHYctOLSfOCg4hYMqsiVN/yOW665a1ghM4RrLv8bt99/DYIgjJixP3z/M+yw3Qw8uN+lkRjEW1aJhUBzUyt33fYQ77/9CYGgnwMO24vKqnJuuOYucjkdSZL4/eXnMn5CDcmFLZRtPBXLMAtyVjOdIrFkvmtu5zhgW/lg01UInrZNsnkJwYYJgNvF6R9I8uWX83ng7sdJpzPsutf27LX/LquVfzqWhWWabobRyoUM5DuIiwmOn4y3pBwrHM3fuCWEPG9k1H064CmrxM5mSORDWYegRmLIvgCJxfMJNk763kW7mc2QWrZ4GBld9gcI1NTnx8/uqHgsrEw8do9z9f1gUZbxlVch+/1kuzrI9nQh+3xu2K0kIw39JtcRBFF0/44GM+z/q0N44i+PkOxPUlwzMmqlq6mTrqZOvCEfWx68NaIo0tveS1rP8vRjL4y6/9dfeofTzvkZG+6zGTkBnFA5mkcDHMxcDk34YTtpC+ct4YjjDuKUo84d9fkH7n6Mg4/Ym3AkxODASIuH4tLYMC+W1UUcAORyBppH5Z93PMymm2+IJIprZNOwLqGoCnUNNdQ1uAHLlp7D0XN0Og7vvvkRj9z3NKlUmn0P3p2jTzyE+sZvmQr8APipmFlHUINhHNtCVBQynW3I/gDe0nJs0+2Y2EbO7cpYK9RDger6vLune7GNL5wLjo2vqg69v5dc74oblq3nSLU04S2vypN/FURJRvIF8FWo5Pq6UcJR1GgRen8vsseLkRhEDUWGKZnAJSLn+nsJNk50XeIF2e2urPR5xPw4wmxdE6nykL+J/aMpZkRZxtJzZLvaRn+BaWIMDqCEoiiBkNuRsSw3B8frd3ONVBXHtLDSSRT/9zNoHPrOcit9r8HGSaN2CcAtNrSiEiRFIdW6DF91PZLHR39TF2++8v6o2ziOw+xZXzNuQj2LFgy/aWezOUTVgz9WT6qtGWwbM5OipSvO0Qf8ouDY2tc7wA1/voMZM6dzzoWncdWlN2BZFpdc8FceeuxmysIBQrXlSLKEsdLq1zFNzFQSyevPu96OLs209Ry2rpPr7yEj+7j80pt489UVn2f+3EU8eO8T/POxW6iqrRhxk3UcB1PXEQSBbHfHmOc719OFv7re7QLlQzFTLUvHPC41GAJBcEdvq0Af6EP2+hEkiUxnG77q2jGVRN8GK5cd5kEzBDOVRI8PIMoKRiKOp6R0zM+nlZQVOrpD0vdvg6goeGIlqMFIQU31QyjyhiApKoqaQ5RFjr/6JJpmN6H5NCZuNokFH4+U1W97xA7kMjpPX/cEB15wKLnBvtUGS/Z291NUHOX8cy5jsD/Ojrttw36H7IGmqTz8yAtsuuVGTJwybp13B7q7emlb3oHf7x0zadu2bVqXd3D5tRdw1skXDytWZFniVxf/gnvveKjwWDqVoagkRm/36MKRxvG19PUMYNs28cEE8cEEoUgQQRDwev/zfMWh340tCBSpaQ7Yd3u232lLLNumuDSGx/Pf4VD+OO48/wfgrqREHNPAW1aJpHnIdLWT7XFHGYo/hJlOkmpZSrazjWTzEmzbdiMQBMGVyOZXsrLPP6yQWRmZrnYUn69wUZYkCdnrxVNehaRqeEsrCNSNB1HEMlx1xGgjL8c0yHa1F1rytp4bdlEUZdd91VNSvnqTPa8fS9cLF8gfC4aOZdTE4DwsPYuVTpLt7nBN2BwHORBGkGUcwSHb3YWZSqDFir/XZ3McBwdIty8n29WOY1n4KmtX68TsHrxNrr8XNRwj29VO/0CKgf7B1a7kctkcijpy5rDzbtug6UmyvV0FmXTWghuuvmuE9TzAZx99STQaLtwMHMfh1Tc+xFsUJt7UBsJIWa2RSiBIAqu1tcZ92lNaTtOy9mGFzBB6uvq4984HyaVHFtJ2vpDBtsZU8g29znHc4lpSVGwHfBU1wwIyh6BGixAUdTWmipDt60aNxNAH+76TmVzhuPIdpdEgKSqCrKAP9uPYjmvBsEoxp4SjKMGwOyaWFTyxUlf2bVnYeTXU6pQvoqIgqeoPWsiAqy7zRsLEKmK8cteLBGIBsuks2x+7M1scuBWqN+9iXhJmrzP3o279evR0jvRgimRPgmjR6vkWgYCPwcEEG85Yj2VLl/OP2x7khMPOorWlnRmbTydaFOaNl98ht46cc1OpNN98vZDbb7yXSVPGr86yCgBVVSgqifHQs3dw2DH7M2PmdI48/iAeePo2nn3i5WH5VY888Aw/P+u4Ufez70G7sWThMnfBixsZoesGN1x1B2effBGvPP8my5YuZ9nSFnq6R2b2/VAQZRnZ68NXUY0nGqOiupzq2sr/WiEDPxUz6wyuM6mGIMkYybhrfFdZi7+6DiUcBVFECYQIjptEsHESofFT3KRezYMoSSvM2gRh9fPefAfEcRxXOp2/IUqS5Kanah7UcARBFFF8wVELmSHog/1uy9px3LC5VQhzoqqhBIKImoanZJTOhCDiLatAkCQk1fOjKmaAPDl17JGApHlwHNtNKO9qz/Ns3FuxKIh4S8vxlIz0m1gT2JbbirVyWbdQsqwCL0ZUFJej9G2tfVF0i0xZxsqk0Q2D5qZWpqw3YcxNNt5sOk2Lm4c9FomGOfzofXDSSaxMGjOTRvYFSOdM3n3jwzH39fEHs5i2waTCv1tb2vBEwxRNbcQexb/GPZ/ujWzMzyaKCJJLgn/msRfHfO/nn36dvu7eYaNPx3GwbSs/ohvinY0Oyecb9ntUNA1kmdCEKaixYjfawOfHX9uIp6QcBGe1xZFjuNYE3yfq4/+xd9ZRkpRXG/+VdbXruO+sL+7uHlyDe4JDcA8QnCABgrsFdwJBAgRdXBZYH3efdin5/nh7end2ZpYFloTk4zmHc9ju6uqqnu56b937iG1Zy30PEB+brGnEGuYjaY5C7IO7ogb/lJm4SiuQsFGcbnz108UoNZMm0dbE8MJviS6aJ7hCmbToSP0HIUkSRVXF7HLi7oBNy9eNfPTCbCavM5Ujrj2aE+76AwdffhjJaIJMMoOVF0Z88NS7BIJ+1lp3tXH3W1dfjQ18+O4nrLP+GoXHB/oG+ftzr/P0oy+RSmZYdY1Z9HT3fe8Y5/sQi8bp6eojk86w74G7UVwawbYtps4YG70AEAj68fq8HLbPSfT1DrD9zltyxQ3ns+Y6q2IYBnO/Hc0//Przb5n/3SKuv+NSZq46FUmSKKso4ZSzf89hx+zPZedfD8DMVafR1NCCx+PigMP25HcnHoJtQ1tLB53tPbzw5D9YtKCRZGJ84vH/On4dM61ESJKM6nLnRxxZ4QrqFB4mdt5iXXV5RK6IZWIjkYsNjSYV2rYwBhtv/7KSN8qThAFfuXD0NDPpMcGHI54WJJa/YEqyPCGpcUTaaVkmjnAxqscv0sBzORS3Fz0vy5VVDXmcbsB/GiMOreN5y0iyguJ0iYXXtFDLq4S5mcPxk/gDtmVhZtIkO9swUwk81ZMw06lRUlfF6RYjGYeO6vGOa82venyYqSSKy13o4DgdKu++NZvfnXgIZ55wyZiL9BbbbExdfTWH/f63PPPY38lmc2z3m8059Ii98BlxIZVGjE08VXXE+gZxOLQJc1903THKyXPTzdej48Ovqdl6fXKxZVri+eBCK5UkOzyIM1JCuq+bZeEqqyQbHx6bkbUMJEkSBNlcrsBRsU0TiXywopHFGS4av1iXZPRwMZZhomhLfkuqQ8cyDJxllUhLjUVlVRMGf3nPp/GguD1YmbTwdvmRIybLyC3hwkjiu2ZbQo0FgkMk2RZ6uJhUVxvxhvnIuo4ejIAsk+xowVVWBY58x1TTMFJJoovmFoos2zTJRQeRFAXN58e07RX2zPk5kIjGkRQZ24ZcxmDmRjPxFwVY+PE8OhZ24PK5WHO7dWhb0Ep5fTmyItPT1I2RznHhFadxxgkX07Bwif1EeWUp5192Kh6Pm8ceeJZZy+Qc/euNDzj+tCN58K7H2f+QPXn/nY9Ye/01mDqjntKysZyd70N7WyfPPf4yD971RKGDufpas7jshvP4wznHcN4fLh/Fi9F1B5ffcB5/f+41spksc76cy9uvv8+FV5zGplttiMulc8dD13LC4WfT3bXEDLCjrYsZsyZzxLEH4PN50V06JSURmpvaueTPZzP3mwXsvs+OWHmZ+kVnXcOcL4VPj9vj4ugTDmbKtEk889jf2W2fHZgxa+Ibnv9V/FrM/AwY8XkxMxnMjFAgjagWhMRaEaF5eUmu5HKjuNxLujOyLGzH8540QonkFP9Whc+MlU0Ta1qIf/IMbFt4kCzr9yIrCo5giMzA+OGFjkBIqBm+73xkBVlXQHeiOJ35u2UhWVUcuiAQrgQVxMqGomnYHi+uskpS3Z2FMZ7s0HFXVIvkZIcf2ekq/M1+KhHSzKYLi4teVEqmrwc9UirM3fKwTRNFd5Lu7cZTU0/a7lwqJ0fIZZ3FZcRbFuOtmSyUWEDE5+TgI/bh2Sde5i93XsYj9z3NV599QygSZK/9d2bn3bejJOzjdycezB57bI1lGLgVE5KDo0YPtmViWRY+p4udd9+Wpx//+7jnssEma/NUXk1SWlbMzMl1xD+di6TYo0ctsoyvdgpIEuk+MZpzlVXirqgh3d+Nlcmg6E5hny8rJJoXo3p87L7Pjjw/QXfmN7ttg0eTsLELBTOyUCIZyQSOvJTaU1NPqqu9UPApuhN3ZY2QV4/TRZFVdfx2tGHj8PlJ96gFV9yl4SwqIdHWhG/S1B89oslGh9C8ATzVdcKkLp3Kh2mKwEcrZ6C5PMi6CzMQIjs8iJXJCPsGScpnUyni9yYrWKZBsrO1cJ6yw4Gnul7wb4YGyMWGcRaVgMP62b2RxkNfVz893b289dr7GIbB+husRfP8Zt588HX2PGNfJEUhUByg6esG3H43pmGx4R4b88HT7/HWna9Ru810Tj7zd7g9btpaOogUhYhF48x+7zPhXQSjFFIgOtSWZTHv24VousbdtzzCX9ddjbdee4+9999l3BHsRBgajPLPV97hjpseHPX41198x503Pciue+3ApdedQ9PiFhbNb6Syupx1NlgDSZL4233PAKJICRcFefjep9hzv9+w+tqrMG3mZB5+/ja6O3ro7xukqqaCopIIoXCAopIiOtu7ufX6e3n1pbdwOnWuu+NSttlhMx6+9ym23mEzrrjwL7Q2L1G7JRMpbrrmLi6++iz2PXg3ert66enuo6R0/CDU/1X8Wsz8TDAzGaxchlRXO2Z6SdtPcbrwVE8qdFjMVBLZ7RG+EQ3zwbbJxqN4J0/DiCdQHA5SXW2jMoMUpwtPTT2JlgYyA71Imo7DN9ZpcaRbo/mDY+44JUXFWVL+g4mM/4mL4k+B6tCRQkVo/mDBedW27bzjp1csTCtpzmuZppDU5hcX1ekkOdCHXmTnJdais2Yk4zhLykn3dZNoacBdUY2rolqMlGQZM5Ui2dmKp7JWcKdsEVaq+fyss/7qSJLE7TfezzobrMFu++yAz+9j5qwpRIoCyKqGJElEwn4SLQ3jHqfmC2BmcjQ8/w4HH7Q7sz/4jPbW0WTTAw/fi88/+RojZ7DF1htxxvnHofXHKNp2A5zBALpvFcx0GklWkHUdJMEXGxmRprraUZwunOFiJM2Blc2KMM98Z0LzB6iSdbbeYVPefPW9Ue9dUlrEwYfvge525SXT4rxkWcG2LXLRIZzFpeTiMTSv8FUCxFhRUfOmdGMVXcuDrGmY2RzeusmkutoL3TKhIqzASKXwVteLIsIyfxQB2MqkweMj0983qnhFkvHWTEJxuoRKxJbQQmEcoUihqyc7HGIGpSiFzpBQTMaW2sdkYvmolBHkokPokRLRyfk3+pMM9A3y8P1Pce9tfys8ds/tf2O7Hbdg75134MNn3sM0TF6782Uqp1ez6W83Jx1PUT61kt3+sCfvPfkOsYX9lK5VzZ03PUBPTz9OXWfXfXagpKyIqy66iaOOP4iXnnlt1Ptuv/OWvPvW7FFqn88++oqF8xvYePP1qKmrWuFzGBwY5N7bHx33uZeeeY29D9iVYNBPLJogXBSmtKyIhfMbuenqOwtd06nTJ/HlZ98w2D/MZx99RWV1OdlMFsM0KS0vZvW1Vxm13/7eAQ7e4zhi0ThVNeXc+fB1ZHMGuWyONdZehcULGjn9/ONoamjlluvvJZdd8re+7Yb7uOneKyirLFsuefp/Fb8WMz8DROS7hbkMqRZJwhEuxjYNctEhZFnBVVEN2JjZDL766SIkLzpEqq1FcFEixThLKkg0LyrsxkynSHV14CwuIzs8hLsiApJMLpFPvJUkTMNA1bTCnaoRDJPp68472YbQw5Exo6kfAiObzbsdA4hcGUn6eRUSPxaKpuUNtFx5+3bpZ8mWsk2TXCw66t+SqpKLDWMj4amqJd7aKArWoX5c5VWkOttItDWh6E6hKJNlNJ8f1eMl1duFlU6iF5XijJSgOHRCRTpb77gZs1abLozEVIVQJIh3mdwW1e0dN4tKUhT0YIT0cILMYBTrnS+4+S9/5Jt5i/nnmx8SCHjZc+8dKasqI9rdxy7bb47dO0j2mwZKt1wXze0Uf2NVHZXdY2Qz5BJxVJebbP49zXSKZOeSaAFncVmhsJdkGT01zLkXHs+ue2zHw/c/QyqZZvudNme7HTchpImCMzvYL5Lng2EUh47mC5Lu7iS2eD6e6klIkoxliQ6moumYuSyZns7C72pFYeUMcrFhzEQc1SMk+kiS6IIaBnYuS7ytF1dJGUYiIVLTf2Bhr/mDZAZ6RxcyALaQrPunzCTT14ORSuKrm5I3MlSQZEl0PmV5dGK2jdjGtnEWl5Lq7RrXaC/T34MeimBIkpCp5zuUUj7L6OdAU0PLqEJmBK//419svOm6DDR0sfE+m/Htv+bQPr+Vr//5JRvutQkv3/Iilmmy9g7rEiwLEaks4rLrz6WtpZNF8xt5/qlX6Gjr5sQzj8Khafzrn0sI5NW1lWy8xfo8euS5XHXThQVFXzqdIZ3K/GAuSTqdHWNktzQ+nf0F3Z29bLDJOtxz6yO0NLWNeo9QOEBldTlNi1vYa/+d2XXvHbj+itt489X3ME2T6tpKzrroRNbdYE08XsH/+vCdT4hF45x/2alsvPn6xGLiu/LsEy/z/BOvFEZdG266Lpdffx5nn/SnQtHe3dWLhERrUxvVtZUkEsn/mHPwfwK/vJXnvxxmJkNmoI/scD8g4QiGcRaXkmhtwls3hVR3O6mOpRxVO8FdUYORSeMMF42xMB+5s/LUTi54yICQVyul5Xj8QdK9XWQHBxDe8RKOYARnUQmp/l6coQiqy40SDOcdUJcUHj8ElmlgmxbieigcPtPdHZiZNLJDx1lShur2gW3/KMLsvws/J0lZrD1KYQSTGRpADxeR6unEXz+NZHcH3trJIr08m0VxuvFPX0WoUCxT5PloDiRAcbnx6nXYiNyspY9bkiTKq5YvFVccDryTppEZ6BUqHdsScQzBMMmOFnAKt+dcIkX/Gx9TXxRk5h47gGkR+3guzqIwbW8tScV1l4jtbcvAMqSxRatpkYsN4SoqLcRwjIIs4whFiC74VmyeSqK6PdiDnWy87gzW2/ASMokEHl1BdbqRdV3wirw+NJ8/nyeVRZJlvPXTSbY2Ci6UJBXUdq6SchLtLWJ8CiskWS4cflocD6YxypV7aahen4gcGeonF4/inzz9B90QyJqDzMAEihPbxohHMTNpNH9AEPstSxhtasIRellXaEmWhBXDQF9e4TS+lFt1e4WiLpnAzGVQHDpGMoERj+KuqEFxuVdqcZ+KJXgkP2YZD08+/hJH7rt3YVQEMO/DuWyy72bsd+6+ZNIGtm3jdKpI6SF87gDhNWdQWV3Ohputi9vtQtcdzPlqLptutQHpVIZNt9yAmrpKLj77zxxx3AFUVZdzdt7Qbu31VueVF/6J4wd6RTk0Da/PQ3yCWI+6+hpC4RDhoiD7HLgrN159Z+G5GatM5ZSzfsfVf/oriqKw9wG7cuKR59KwsKmwTWtzOycdeS53PHIdG226LgBNja089eq9zPt2EYfvcyK9Pf0oisLWO2zKjXdfwZknXMzwUJTZ733KzFWmssEm6zD7vU8BkaWUyWTJpLMk4kk0Vf21mPkVPw5mJk2sYcEoxUK6pxNZ1/FOmirm/fHYmNclO1rwT5kpTO2Wc2flqaoj2dW+ZBtJKoyx3BXVot0PGMk4mf5e9KJi4i2N+Oqm/mg5pm2Z+QA60YmRdCdGbJhUZxuSqiEpClY2Q7KtGb2oDD1S/P9WIiepGnq4pOBtY6aSyJESNK+feEsj3tp6cvEYZjqNIxRBVjXMVILs0KDwtnEo2NkMiqYhO/jJRaHicOAqrUAPFyMBtiRhG1kc4SJMUy3c1QOk+oZI9Q2J81AUXEUhZhy0E9loglhzJ4ouxldmOkUm1Y+ruFTwWPKwbQtVd5Hq6cJbU0+qu6PQhVFcHlxllXnXY5F6nRkawFs7mVxsmMxgH56KasjGcZTUgWkSWzQPLSg8gGINCwvfedmh4y6vwls3hURbM1Ymjaxq6JESQU43cjiCYWwklBX8vlumiZXJIBkGqscr+DbjaG+dkZJCFppt5MhFh7H9EopDW/Gbg2WNBJc5Dm/dFDGqM01y6RS6x4vqGL9gkhQVV1GZcDmWJMbrRKleH3pI3CQt/d6aL4AeKSHaMJ/A1Fk/qUs7+hws4r2DDA4MTbjN8NAw3iIfQ11Luh4jCk2i3YSq6grFu6QsGZ1WukcvzJtvvRGrrj6DRCJFU0MLfb0D3HCHKGCu+KPglay74Zr09fSz8WbrEfyBnjMev4d9D9qd+24f22Hy+b3UT6nl3D9chizL7LnfTjz20p3E4wn6ewaZP3cRF511DaZl8edbLiKXzY4qZJbGdZfdyi33XY2NzaG/24+P3v+cC067ovC8aZq8/vK/aFjYzJl/PIELTrsSgGce/ztnXHB8oZjZ+4BduPX6e/nw3U+pq6/m+jsuJR5L4PV5ftB5/7fi12JmJcE0RZbReNJLK5PBTCXGtpeXQnZoYLQD77LPRwdRdBfe6jriLY3YpiEWE9vGXVFDsrO14F+hur0ii8i0UD0+bCOHaVtIqvaD7cqNTAYzESu4B/unzsQ2DLx1U7GygjMhKQrp3m4y/d3o4ciYAM3/L5AkCWekiFxsqMBxSrQ14SqtwFlUSi4WQ3G6hNEZkGhpxFVRTVLzkR5Kku3vIj2vGSOVoXLTtQhNrUFz/7RFZkkgo4Bp2yhuP4NzFlO06mT65iwa85rStWcgqzKyLOEM+PBuUISkiNFlbqALRyBELh5DXyrLi3yMR3qgl2RHqzD8yy+QguiqgG3jqa4l0doElkW6uxNv7WTROZIV3FV1YFnC1M+20YNhYotHG6xZ2UzBRdhTWYORTmKmUiRaGrBtG3dVHbKq/iB+iG2a+YgFoTj0TZpKsr2lUIzJmoartFL4vyxFDs5GB1E8XqyMjbICvCtJUZAd+oT+QqrbQ6qrXXQlQhGckeLlEvTFSBl8k6ZimSaa109uKddxAGdR2ajssRHkYsMoTheq20O6vwd3WdVK6VoayRTD3zawxVYb8unsL8fdZv0N1qK8poy/3/h84THdreNwKJBeMv5akeMJF4UIhgP4/B4S8SRP/e1FHn/oOfwBH8ecfBj1U2t5/MFnufS6cwkXhX7QuQT8Xvbaf2c627v4x4tvFh4vKS3ihjsvE9lMlaUcfOS+gM27b31ERVUpldXllFWVMmu16fR29zH7vc+Wy99aMHcxiUQCkLBMi1uuu3fc7RYvbMLn9xachYeHorg9LiRJYpc9t6N+Si333yHM+JoaWjn3lMu44Y5Lfy1mfsUPgz2BOd0IsoMDKG4PRiw67vNWLrtcRZDw1XCRbGvGWVQirPFtG2dJuQjVWwpGMk68aSG+yTNEcWGaxBoW4CqrRPMHVnjWbxk5rEyaZEfrkgcl4X0SX9qdVJZFHMOgLGSm+Qyc/4+QNQe+uimY6TSZ4UFkRUHzB5EdDpE0juhipHu6yQVLePuVd7ntL/fT3tpFdW0lxx5/ENNqy2l85X1yyTRl662Coq48pZjiECq74aYOIjPqcHjd9Hw5HyOVQfO4KF17Jg6/m8xwgq5PvqV8/VVID8VQHCoOnxvZ5UVx6KR6u1E9vkIysZxXkXjz6qKRbCFZc+AqryqodzL9vWLUls0AEgOxNNEU0NJNIOgj7HdjJhPokeIJxybYNtlhMX5VXR5Awp33bBpJlF8eLNMU0SMjNw/5kE1F10m0NWGbJnqkREjC8/lRlpEjOzRaji4portl5vKp1N/TSVM0B+7yqoI6bdRzuhNkRSi+EB0zW1ZQxhmV2ZYlCq/8MdimgW2Dq7yS3OJ4oaukOF0iimSChTQz0Ie7vIp0Xze2Za6UYsa2bfq/XczW+27DfXc9PoZz4nI5OeTo/fjypc8Y6l7y3EZ7b4qajaKHRCr9D7kZkmUZr8+DkTPZ/9A92X3fHUkmUvT1DFBWWcIl156DOz9usYwctmEKMylJKpDGR849ncrQ1zvAogWNGIbBzFWmctKZR3P0CQfT0d6NP+AlUhQmmUjS2dHDMScdytknXzpKXVRUEuay685DlmUeuPNxNIfG5ltvOOHx+/xeJCReevZ1ttxuYzraJna2XjivgaqaCoaHosxcdRolZcU8+co9vPXae1x01jWjiqb53y2a0KX4fxG/FjMrC/mL3oT4HgM3zR8cc1e1NBy+ILZhYiQTuMoqUTxeUBTSna3jbm/nTdq0oJCw2pZJsqMFr2OKaNuuwIXLMs1RuUaq20suNiw4EUsfe56L4yqvLlwg/j9jROat+cZva1s5A1N38/g9T3H7UrLP1uZ2zj/7Gk467Ug2mVxFx/tfUjSrHiXgHXc/Pxa2maV0reksfPYt/HUV1Gy9PoqmYmSz9M1ZRLC+ikRXP5GZk2j8xwfUbb8RvV8vxFddiq+yFBtDjH0sk5GEQ8Whgy0szl1lSxQjsjqiLhKfi7OoVMRGqDrffreYP555TeHiXVFVxp+uOYvJRW4Uh5NcdPyoBxDdHiQb1elGXY553pjXZbNgWWRjw8IiQVHyvBRBNh7pxqS62ka9zlM9SThDLyVJdwRCQsGVzaxwXpPq9Qk5eWdrPpJAQgsEcRaVkurpQNEcIghSUZHGGUmZmQy2BFgik0moIgXJ3bJMfLWTyQwNYBk53GWVy3U1tk1DqOxUbVxn5B8DWdPwVpYw9N5X3P/Yjdx83T28+dp7WJbFhputw+nnHU/HnFa+e+8bABwunY333oRVNpgEmRhaIPijurqqqlJUsqRTmEymsCyb2/9yPyVlYsy62pqzWHuNKeipYfRgGNnlQnG6SA/04gwVkc5ZLJrXwODgENl8HtIDdz1OWVkxex+4G+WVJXR3CyPH7+bMp6gkwlWX3DyqkAHhYH3pedfx+5MP5dg/HMbpx13ECacfiaIo4xr47bHfb+jr7Re8JlsUfOO5coOwSBjxtTni2AO4+uKbOPXcY3niby8wbeZk+nsH6O1ZwsuaiO/zv4hfi5mVADOTxjZNHIEQqdRYC3YAPVI8ISFR1hzITidO3SkKhWXGTZo/CJKEMRL4KMmku9sFcXgcy/cRGPEYmj+IkVnCsE91taPUulb44ru0rNwRCgu/ljwkRRGmcJkMitMtnFktCzNjg6yg5lv9lpHLEzgzhaJOVtVRnIv/Ndi2nb8LFLlAkqqJIM48t2FoOM7d46g9AO669RG2/NsNWIvbyKXS6Cu5mJFkBVdxiMCkCoYbO0Q8QR7eimIcAS+pviH0sJ/MUEz41RSHcYUDZIai6CGvMI9bZgFUdB0MBVtRkGwbWxrxU7YxYlGyw4Po4SJkXaerrZdjDzkTw1hyce9o6+LYQ8/k8Rdvx5U3mJvIMVd2rNgYYgxsCzOdxDYNknn1j+r24KqoGdN5WRrZ4UE0b4DskFgoHCHR8Ry5gVlRFbisqOjBMKrLXVDWiULCXipuwSbV242nrHLUa410Why7ZYriURJyfyQJ27ZQHA7SQwMis6eknHhLA86iiQM7Fd2JmcviKilbKWnZAJpLp3ab9fn2ob+T+ft7nHLkfvzhjKNEyrJhESwJUV1ZyqqbrkIunUVTJRxyFtXlQisrXWnWD3O+mEt5VSknn/k7coYBNrjdTgzgu9YoDW/NYdKUGkrLSggEvQT6eumJ57jknD8XVFCyLLPLXtuzyhozmPfdQiZPraOtqZ1EIkFNXRVFxRFuvX78kVB7ayfBoJ+B/iGKSsI8/uBzXHjl6Vx2/vWjZNPrb7wWa6y9CtlMji233RiP18Vv9thuVFr4CJxOnSnTJyHLEjfedTkVVaWcc/EpeHxubr7nCno7+ymrKkXXHcSicR6+58l/e3L1fxK/FjM/EZYluDK2kcMRCIusomWs3lWPD0V3kkvE8NZOJtXTmedUiLsyV0kF8dbFeGum4J88g3RftyD1qSrOSDGy7kKSZVKdbQVZscMv5r+ypol8p3EgaRqWYZBb6iJtplPYCK8VK5fDzuWwsfKFxUhXxRZcQsvCXVElbONtG0lW8NTWkxvsFy3qihqyiQTOYIhES8MSGbAk4YyUIEVKRGCGBWY2I+58M2kc/qAo0OB/sqARXjIJwW3K/20kRcVTVYvq9SOpKr09EwfppdMZoglRpMorccQ0AsXpgmyGio3XJDKrnsGFLdiWTWhKNcgSja+8z+RdNiPa3IkzHCCXSCFrCrKmkuwbwhkJ4iwqQRpnrKLkZdvLQkIQpDMDvaiRUh6658lRhcwIDMPkkQee45Rj98ZdXIrRPH6bXA8XISs/7LtjZrOYmTSZgT6MbAZv7WTh/WNbomhfDjlX5Hb5kFQFzePDSCXFb1FR8p3OH9ZNUHQnZlYoH41kHEkTUSSKw0lueABXcVmBsG/bNlZWeFbpkSIy/T0FHxxJ1XBXVIubCctGD0UwczlSnW2C1KwoExaFzuIyLMMQr12JcEWCzDpwR5rf/ITONz9BUhWKVp1M0drTMWL9OAJBvD4HckSMCJGk0ZLzn4jenj4qa8p567X3uPe2v9HfO0BVTQVHHHsAq64xk0wmS6Q4jGVaLJrfwLSZU7C8bk44/Gw625d0oi1LRG4EAj622Wlz4rE47W1dvPTMa1x54wU0LmpezlGIPKfenn5CoSDvvPkh02bVc+/jN/LNl3OJDsfYeIv1+fLTOVx98U3c+uA1zPliLmuttxq/2X0bmhY389nHXy/5TN0u/nLnZXh8bg4+al9u/vPdtDa3s/cBu1I/pRbTMimvKOW8Uy5j4fwGSsuKOfyY/XF7XP9vOIy/FjM/EXZOzNKtbBbV68dVWoGVy+RN6iQcwRCK002sYYFw49RlsdDnXTwlWSbR3oSVTpNobRRZTv4gjmAE27Iwkgl0p5tUbzdYlvCWicdw+IMgiY5Psm38H5UeKsrzXpYQDsWoSyIXj5HqakMPRpBdrlH8gVw8RmawH2+luFs12kXWj6QoOIvLUL0+VI8X2zJxhsLEGuaPdoS1bdJ93UiahuYPkYsOCsmpz49eVEK6q4Ps0ADeSVP/54oZMyfGGPGmBmxryWdimwbx5sX4p8xkMJ4mk1l+AJ6maWjFIbSVkIpb6BLlW9wjickOr4vuz74TXA9Zov3Dr8kOxylddxbxzj5U3YFt2bgiQWzLxjJMnAFfXp4vof6AC+QIj0UuLWc4muTbr8cmJ4/gm6/mYTo9WJkMrtIKUj2dS1ofkixSqx36D+/M5L/jenEZLkUh3dtViAJxllQIH5j+8d2yNX8AxekmOzxAZqBP3GRoDmwjh+x0/6jvseLQcUaKsfxBLCOHmc2QS0Rxli7xsLEsE8s0MGJR9FCYRGvTKMWjbeRItDTgnTQVSZby+Vi24NQByc5WvFV1pHq7MfJjbEnVcJdXorg9aKo2RvL9U6HoGppXZdpeW2FmDSRFRlZlbCOLETdJdXWguNyFz3BldWNs2yYRT2CZNg/c8RiPP/Rc4bm2lg4uPe86Tj//eLbeflPOPPFivpuzABCclUuuOatQyNTVV3PA4XtRXFpEIOgjm8lRWV1OIp6kuCTCt1/Po3FRM3X11WgObZRx3dIIBP3IskxXZw/+gI911luDEw4/G3/Ai8vlYvqsqdz2lwe49taLufD0q5j37UIiRSHuevQGjjv1CFLJNAvnN1BcWsSMVaaQzeS44LSr+Przbwvv8bf7n+b8y05FVVVOPvq8wuPdXb1cfcnNzPtuIUccexD1U2pWymf8S8avxcxPxFIm8STy8ltZd+EscYnRUDxOon2eUG/0deOurEVxeTBSCSTZJtEy2jsm2jAff/30JbJZ2ybeshjbNHGVVqIFgoLQu3gutmXhnzpLeE0MjvavEFJY0dZe2jjNVVIOtkUun59jSxKYJvH2FqGGkoQ3jre6jnjjwlF3dHbe4dZdWYus61i5HGYqOWGKcLqnC80XANvG4QtgpJIiMbqyRnjxDA4glZSh/AKjEFYEgoiZw0glC3fRIx4r7qoarFx2lCMwQHJokIfuf0m0uMuL6e4cu3hW11biQqJq9y3RPBMnlq8ILFNk/2Tjw2QH+rAtC83nFwW1phKaVoskSURbughPq8VfW0a0qZPO2XOYvu92KE6NzHCcxS++A4C7NEzVZmvj/J5U4/Gg6E5kTcONTFVtBfO/G6ukAqiuq8TlcaNqCpKkoAVCwhpAEgXAj1HlAWIcIytg5Ig2Lig8bKZTZIcH8U+dRXZocEycgeJ0oXr92LmcSKkurRzh6CLLPy0GY4RfZeVyKE636KTkz83MZrAtGyShPtK8/nGtG0CMj701k/OnueRY7FyOeEsDergIZ6RYdFg1B5LuRP2ZDC7NXBYJiWRbgzCDLCnPGy0KgrPwABIF9PJ4hD8EQwND9PUO8v6/PmaTLdfnjVf+xXF/OJwZq0zFMAzSqQxPPPI8t994P5tsuT4HHbkv5596OQCRohA9XYJbtOGm67L3Abvw8vNvsM+Bu/LR+58DNu787zAUCXLzPVfyt/uf5oDD9+KgI/fh/nFcgrfZcTMWzF1E7aRq9tjvN2y8+Xr8+dK/EovGiUXjKIpCeWUJDz93K1999k3ht9DfN8iJR5zDJdecRaQohD+4BtlsDk3TuOaSv44qZEYQCPq44sIbqZtcg6apNDe2kc2I6/YLT73Kzntsh6YpVNdWjnnt/xIk+4d4fv+XIhqNEggEGB4exu9fuTNEyzRJ93SR7hVcEklV8VRPItHaOHqRl2R8dVNIdrUh6y40rw8jESsE8gkTNReOQJBsIo7m9oj2oKKCkUN2ukCSycaGSC+lLirEI5gGRjKBJMkiMViSAJl4a0Nesi3hKq/EEYyQHRpAkmWy0UGc4VKSHU1YOYOR0kzcuVWNG9AI4gLsrZuSV5UMku6dmH3vnzqLVFc7udhoMqe7sgYzk8FZVPJfF5EAopDJxOLEh+L0dwySTWUprS3GoZpI2aQILtSdaP4gyfYlnbOEt5i9d/od5VVlnHrOMZxzyqWjXEN9fi93PXwd9TUVOEM//btqZtIk2pvH+BtJioJv8gyysRQLnvonetCHbVnEO3qxTYvKTdZE0hQ8JREWPf8WZmbJIirJMrMO2Rlv+Y/Pfpnz5VwO2v3YcZ975LnbmDmrXoRN2uQnEdJPdqs1c7klNwLjEDEVlxtv9STSA71khwbFODdcjB4MiYOQR8awUn7sKq80rsmYY81mSPf1oIUiSJZJZnAAbGvMTcvS8E2Ziep0YVsm8abFE1pBBKatUjAaXNmwbZvsYF/Bj2dp6EWlOEvKAaF+W1mjj9hwlJbmDs4+6U9MmlzL/oftAYjIj68++5Yp0yZx9sUn4Q/4yGZzBAI+PD43B+52LD1dfZx90YlMnlbPCUeczY13XsbVf7qZ0887nrNP/hNbbb8pa62zGn+5+o4CmdbjdXPqOcfw9Rffsea6q9HX289Ddz9JLBrH5XKy6947sOW2m1BWWUJzQytPPvICH7776Sil0V6/3Zm9D9iV6y6/lXU3XIO111+dG6++E0URRUd/3wDb7rgFDYua2G3f3/DFJ1/z5z/9ddzzv/fxv5BKZVg4r4F0Ks3MVaexYN5i7rjxAQzD5MIrTmfmqtMIRQI4nc5CxlUiLtaLcFEQ7RdsdLqi6/evnZmfCFlR0MMRssP9WPmk7GR7C56KGizTwEynkXUd1elGUlVcZVUYyZiwrc/7dUA+lTebJtYo4uENlwdPVS2Jtibc5dUku9pxl5ST7hytsjAzGWJNC3FGStACgkczcjeHDe6KaiRJFjEJ8SiZwT40jxczk8FdVo2ZTuIsKkPWdcxUklRPJ4pDF5LOCWDlsliZNJLTvVwZ7Ih0ddlCBiDZ3oJ30tQf4jj/i0ImmaLhq0ae/8vzmDmDoupitjhoazSPA1NR6ekZwheAUjWL2+vDzP+dE6ks6XSGxkXN3H7jA1x98x9ZNL+RlqY2Jk2uYf2N18EfTyEpP/1Cb5kmZjo1rlGjbZqkuzvRwkVM22tLBhe3E23uIjJzEiVrTkd1OUkPxVj43JtY2dGdCtuy6PxoDpN22hRV/3EXwUmTq7n46rO44o9/KdxFOnQH5/3pFGonVYqFTpKRlZVTMJiZNOm+HhzB0LiFDAiTQ8s0cJdV4SwuK/B8/hN8g1w8hur2IMsyti26actLGpc0TZg0qiqKQ8ddWUN08bwxYgJncfm4XKeVBSubIdnVPu5zmb5uHMEQmnvlEdptyyIejfP3Z1+npamdvQ/cleKSIo455Az6ewc47Pe/Zcddtuais69hwVzRBQ9Hgpz1x5O4+9EbSCXTfPbRV7g9TvY5YBdeeu519j90L667/FYAdth5K0753fmjCpFEPMllF9zAg8/cQjyWYLOtNmTzrTfOR8ioZDM5Ojq6eOraF9l86w2ZscoU5nw5l1g0jtfnYe8DdmGV1abz2cdf8fknX/P5J1+zxjqrcOl15/Lmq++yYO5ips+ayoxVpuALeHnykedZf6O1xj3/3fbegcbFrVx+wQ1YS/2td95jW6666SLOP/UyPF43w4NRLjj9Ciqqyjj06P0oqyjlq8++oaq6glg0hsvjoqKy7L+aW/NrMbMSIGsOfJOmkR0eFIoIScYyTVSXB8sw0XwBjFiUzEBvvs0fQPE789LnziUXV0kSBFFFyasWLJxFpSRaG7FyWezi0sLIQnF5cBaXAja2aRVIfrLqQMIWOUm6jmxqpPt7SC9l0W64PQV/mhFpJwhXUE91vbiIaxqaNyB8NNJJ0r1deSlp3rLftjEG+9FD4YLXxbJwFpWQHaeQGUEuFoWQAymfJP7fhNhAnGeve0YQZ8tCbHPEDgwODPHSMy/w/NOvFi5+4aIQN991GdWlFdgouLJZXC4nM1aZyqnnHYvTqVNZVU4ymeSma+5iyvR6pqy7KopjJfw0bYvsMgGjSyMbHcJZUkaiewHeEg/+yunYtokj5MXOmXR/8u2YQqZw/m095BJJFIf/R10AvT4vO++xLRtssjZtLR3Ytk11bSVFxWF058rt1JmZNPHmxZjpFI7gihmnLRsh8e+EIOWKkM2RMaUjKIIns0MD45N5w8VkB/tQnS5w6ChOF4Gps0j392LEo8iqhrOkDMXpHsORsS2LXDItSM4u508indumOeHYGcBMJldqMWOZBgMDw7z+yr8A8Pk8NDe1cdwph1M3uZpgOMAR+548ym9loH+Ic065lNsf/DPNTW2ssvoMrrvsVs666CQuOO1KtttpC5oaWtltnx158ZnXJjS8e/DOx9ll7+1pb+1gwbwGrrjwL4XnJk2pZd8Dd+WSc65l06024LxL/4CmaRiGwSvP/xOHQ2PuN+LGtaKqjN+deAiH73PSKCn1o/c/zfW3X0prUzvrbbgmJaVFTJpSw6577YDL7SSZTFNTV8lhe59YeM3MVady9AkHE48n6e/r54Y7LiUUCTIwMETDwmYaFjaTTmW4+OqzWG2tWXzz5VwWzG9g9bVmEo8mCIb8lJYvCen8b8KvxcxKwIhRlxYICfmt6iA3PEiyvRnf5Bkk25oK6gMQ8QSWYeAqLcdVWkkuHkVSFOGsGhvGNgzBaZAk0v09hYvXSIik6vagR0pItjePust0hItQ3V6SbU0iFbusAtXpLhQysq7jKi5HcbmILpqPIxgSRGJbZDplo8OYqYTo8OTHVlYuh+L24K2bSrKzDSMujK2yQ/3kYlG0YFBYy7c2jnI21cNFaMFwIYtnXFgmiiLSlvkvKmZs2+abt+eIDhiw0d6b8fVbX9KnpXjuqX+M2laSJOZ8NR9l3dUYHhwmFAny+Mt3093VwwWnXUFLUzuSJLHplhtw/qWnojo07Pzd9U+GJC+/0JAoXKjNZAITcSHVXB4k3YXmnXgUoXlcZIbiSIqM5tZ/1AhId+pUVpdTWV3+g1+7orBMEyOVXBJwqaiiGB+nOyMpCpKiEW9pAGz0UDGq211I+l5ZsC0LKyeUVSME5JH/QJDFE62NBUdvgHRvF5mhfnyTphFdOHeU8soRCCFrDkH6zf+9JUmQgd1lldhWWb7LNfY3lokm6J2zkERnLyDhLo1QuvYMsllDEL5dOpr7B5Ctv2e75Tka/yjkx5Aj/i3ZbA6Px831l9/G6ecfz1effzuhcdytN9zHDrtsRXNTK12dvbz697cpqywp7Ku0rIh33/powrdubWknUhSmv3eA8orSUWTgxkXNhItCTJk+iXffnM27b84uvK60vJijjj+Iu295BICDjtibG664fYwnjGGYnHfq5Vx89VncePWd3PbANbz28ttce9mtDA0OEy4KcdRxB/L4y3fz9mvv0dbWxTbbb8qFZ1w16pzXXm81Tjv/eI4//Ug232pDOtq6+OCdT7jmkptGKQp/s8e2HH/qEfR091FS+uNHyP8p/FrMrEzYNonWJjSvH1l3IutObMMYVchImoanqg4znSLd3ytSrPMk2XjTEkJkdngQWXPgrqol3rRYkHYTCRyBEI5gZFyL8uxAH4rmQHV7MJIJzES8MN5QdCeu8ioyw4Noto2nuo5cbFhcuPPFjCMQQnF5kLCJNi21/4HeAk8m1dOF4nKT7hPM/2x/H87iMnx1UwTZ1DLFxV+SsDJpVLcXIzF6zCHrTtylFWK+PjSA4hxJsxYeKMKP5ZeZ8GRmM9jAQMcS7oIn6KFi1WpuvuCqUduWlhVz8TVnccOVt3PVxTcBwrtix1235ugTDyaVEsWfbdu8+9ZsFsxbzF1/u4FoNEbxSuhOyIqCIxie0DjNEYqQGYeDYeWyWOkEpWvPpO+bsW61AMWrT6H7s++o2nxtjEQaWVNRXDq695cRbCesB7LA6DFnNh7DXVEzLh/MXVFDLpnIKxEhFx1GdXsFqX8lFTS2bWNmM8SbFo0q/iVNw1c3FdXlJhePjSpkCq/NKye99dOFoV7epiEXj5LI38AsWyxIsjxhIZKJJuj5fC7+ugr0UAA15EdRVQa6h8hlcuTSWRRNwR/xEygOrlDHRpIVNH9gfMNDWUZdyTJwSVUIh4Jssc0mPP3oi0ydXs+JR5xDKpWmpCwyKoZgWSyYu5hTzz2W6y6/ld323oHHH3qOcy45BSNnEgj66WjvZtLkGuZ9u3DU65xOnd3324mddt0G0zCJFIV49aW3Oefik0eNey6/4AauuOF8Ghe38OwTL2PkDHbabWu22XHzUaOryupyFk+Q2xSPJbCx2Wizdfnbg8/w9N9eKjw30DfIny+9hUN/tx/llWX8dssNOPaQM8YURZ9/MoenH32Rg47chz/87gLOueRkrvzjX8Z0nF5+7g3WWnc1IkVhNtx0nf+6GIRf5orxXwopPyYiz6Px1EwiOzzaiMtTVSfoLKaJnU0jSaC63SLJeBlYuawIjAwJZ8t0TyeussrlWpSn+3txhERVLckKVn78IyTjORwen+DPDA8KMuHIfvKFRXZIOFEuu/8RZY4ejohsnTw0n1+MmBQVzePF4QsgKyq5eBxZd+IqrRi1HxEUWE2ivYVEayOprnbiTYuINS0UDrKG6AgJN0yxIFm53IStXss0MPJqlGxsWBgYLifj6qfAyGQw02kSzYupX7MeEIuFkTVQnRoD/UOjtj/h9KO47PzrC7N6EN4VLz//Bk88/DznXHzyqO27O3uZ8+V3xKIJOtq6WRmQHTqOpTOURh7XHDjDJWQHxqqpVK8PM5lEdTup2mLtMY7OkVXEuWdjCZI9A2RjSXLJNNnBGOnhGOYE/jn/LpiZDOmeLuItjSIcdamxSrqjBUlT8U2ZgRYIFbKyfJNnIGkOUm2jixwjGV+uM/cPhZXNkGhtGpPPZOdyYhSWSRd4dOMhOzyAJAnJdaxhAYm2JmRVxVlSjqd60g8qujJDUfSyYnq7h/nnE+/x9NVPMPu595FlGXfATbA8jI1Nw5cNDPUOY+TGV1ItDcXhwFVWhbwsl06S8dZMxl7BDuyK6lJkWcEf9LL/IbuzxbYbM/u9TwvuubmcScVy0uXLKkvJZLK0NLVTUlbM4MAw382ZTyqV5thTDuOfr7zDzntuh7xUMej1ebj2tkvo7e7nqP3/wOH7nsR5p17OTrtvw5wvvuPme6/k8GP25zd7bMvZF59ERVUZG2+xHtfdegnX3nIR2++yFfvv8nu6OnoK+xzPFXhpaJrGFttuzHOPvzLu848+8CzVtRUsmLt4Qsffl559nehwjJq6St57+6MJP9+H7n4CSZJobmwb9/lfMn4tZlYmJFmkVysKsYaFeeLlkoVA8wWQZIV4SwPpnk5ysShmKrlc2/ZcdBhHMIK7ogZPZQ2ZwX7hZTIBbCO3RNqZTqJ5fMKuXFExkgmSXW0oDn1MJMGS9xsSrqLjPRcbzndMxA/BEQxjplPiDngp7o2saSKHKC8D9dVPK6gnnCVl+fHYMqTSXE7k4hg5zKxwC051dxBdPJ/o4nmkerowl1kAzFyWdE8X0QXfEm9eTLxxIcMLvhPjsuXM7X8MLNMAyyTR2oiZSlIzqxK3X7i4Olw62Xiaiqolbqserxvd6aC9tXPc/T33+MtU11aMefyj9z9HVVUGB4YY6J8462tFoTh0XGWVeOumoPkCqB4v7opqvJOmEmtaMKZolR0OZEUtjDY9pUVM32dbqrdcl8rN1mLaPtvi8Hlofv0jIrMm4/B7kB0KRjKDjU0uniIbS5CbwI7954Rwn04Tb21Acbpwl1dhWzaOQHDUdvGGhSRamnAWleKpqcddUUOqt4d4w/jeN+m+3kIW0k8+RtMcY6o5AiubEePnkjK8tZPx1NSjenyjtpEkGSM2LEw382Z/ibZmJFlB9bhXmL9k5nJYssI3s+fx2GWPsuizhXQt7uTjF2Zz35l3MdQ1SDaZwRv0UT61nGjfMB+/+BGDnRO7JI9Acej46qbgrZ2Cs7gMd2UN/qkzkZ0uVE3DzGYxMinMdBozl8PMpskMDZDq7SKXTGBk0mQTcTLRmNhuAjn6CNxeLxVVpZx/6R9YvHCJiuq7OfPZZIv1USfoKB19wsG88NQ/qJ9aS2e7UGQ+cOfjfPzB56y29iyuv/1PfPbRV1xyzVmEI0EATjzjaG69/j7efPXdQhHS2tzBWSdezD4H7kpvTz/hSIittt+U1dacxQG7HcM+OxzJXtsfzm93+T1PPvIC+x2y+6jjyGZzhMLjWx0oikJ5RQmapk1Y9OSyOUzDpK9nYqVbLpsjOhTDH/DR3zvx37CvdwBfwMPjDz2HsZKvoT83/mPFTFNTE0cddRSTJk3C5XIxefJkLrroIrLZ7KhtpHwrden/Zs+evZw9/wdhW8QaFpAZ6MM2DTK9PThCS+6KHeEiUp1to+f1kvw9nQRbpMi6XMiaA0cwjKpPzGWQ8xblAEYygeJyo+hi5p0d7MM2jFGk33Hf0TSWE3ppC6JwVR2Kyy2Swg2jIEqyTBMjmxZFSSpFuquNzNAA7ooa/FNnoeiuCS3qR5KmNbcwGUz3dIoLfDZDurudWOOCUQWNkYiPlYXbFomWxdjLKfh+DKxcTgT65YswJdXPIVccQfWsGhZ+Mh8jnuWoYw4sbB8KB0e5iS6LdDpDJjP6GEvLitnngF359ut5PPm3F3j28ZdpXNxMJr18g73vg+LQcfiDeGsn466uR/UGSPd24S6rGuXzofmDeOumEm9vWvJaXaNj9tf0frWAgbmNLHzmTTpnz8FdEiY4pVoQ3N1uhhpaWfjMmyx6/m36v2vASGVW+O56ZcC2LMxsFts08VTUIKkKtmGQS0SRFG1Mh9DKpkl2tIjF37awc8v5jG3hJ/R9i+qKHufynzdJdbWRS8RItregR4rxTZ4uXLgR/JjsODc/qe52EaC4gpBkmXQqywdPvz/muVw6y7uPvk3X4g6S0SQur5ve5h6Kq4v52x8f+N6CpsAh9PlxFpehBSOoTheyLJOLx0i0N5EdHsa2rfzvW2RUybqTdCpH27x2Xr37dVqau2lo7OCDdz/js4+/oqWpjdw43SFJkvAF/JSWFTN95uTC43+77yk0VeWSP5+DZ6nxpyzLHHLUvsxadRovP/8GBxy6F88/uYTr9vLzb3Dw7sfllUe7stZ6q3HP4zfy4DN/ZcasKXw3Z2zR297axfGHn01lZRkfvPMJd938EHfc+AD7HrjrqO0ef/A5SkuLueqmC1lr3dWorC6ntbmdM/944ph9Ahx2zP4MDQ5jfs/fVpZlJk2pnfD5SHGYVCpNw6JmVll9xoTbrbbGTFqa2uls757QDPCXiv8YZ2bevHlYlsUdd9zBlClT+Oabb/jd735HIpHg2muvHbXtG2+8wSqrrFL4dyQS+Xcf7vfCzOVEEbPUBc8yxGKl+YPkokPIijrG+8HMpHCVLCc/xeUGbLLDw2geD6n2TpFQvUzo3QhcxWWkllrgM4MDuCtrl5nBf//dmyMQGsO1kDUHkqIiaw6SXe3YRg5PVS2WYSLJCrl0qrBny8iR6GhBwsY2TcHncblxLxVCOB4kVRUF0jjFiJXJkIsNo0RK8l2Z8bse4rz7kBwV46YO/yhYVoHwO3Isbk+KPU/ZhXQqh6I76e7s5eQzjubu2x5hoH+Q8sqJW9wulxNdXzIS8Po8XPLnszjrpEtGtaD/eu09XHfbJWyy5Qajtv8xEL4oMoZp4owUk+rpwllUItxrZRlJ0zAScSQkFF8AJBvLsqjdbkNSPQP0zlmE5nZStNoUHF4PuWQKh8/D3EdewRwpzFIZ2t/7ksGFLUzdY6uV4pWzIrByObBtkh0tBfdbSVVxlZSTi0fRgmFUr5/c8BC2ZaD5gsi6k1R/L3owjCMQJDVBx0QLhDAzaaSshK07hdHdj1Q6Saq6xBBzHMiKSi4WxRsuJtPXQ6KlAV/9dNyVtaR7u0QMQqpj7AttW3hVfU9ieOE4JIm2eeOH1AK0zWtlw702IZfOkUvn8IS8RCqLGOwaZNFnC1n3N+t9Lyl4ab6ObdvkEjHSvd1IgRJSqQw5K4nD5UCWhDghnczy1kNv8t1737LfZYfw1OMv8tiDzxZIqkUlYf58y8WsusbMcX8Lkizzmz22465bHsbIGbS3dnHt5bdy1h9P4pb7r6a/d4BczmDq9EmAxKnHXMgl15xFbX0VldXl9HSL652qqZxz8cl4vG7+9cYHrLbmTA7d+wSmzqhn7/13mfB8o8MxnC6dAw7fi/ff/gjdqbPvgbtSVBLhvtsfJTocw+V20dvbz6przeSPV52By+Wko62TsspSbnvgGm6/6QEWzmugorKM/Q7ZPS/Nh5LyIqpqKmhrGfu3nzy1jtbmdhwOB9NnTRnXjPKo4w+iu7OXBXMXc8JpRxIuCo1JNJdlmeNPO5LTj/sjBx21D86V4D7+78R/rJjZcccd2XHHHQv/rq+vZ/78+dx2221jiplIJEJZ2cQL/i8BtmmO66cSb1yIr346eiiSz3fxo4ciwhAMyA0PYmYzqF5/wW58abhKyok3LUbRnRjYmKkk2egQvrqpJNqbC90MSVFwlpSLsU++cJEdOq7ScmzLQlI1HKFIflG2UNyecX0rFJcbM5MZNxTTVV5FLj5MZqBXkHjLKjFzWfRgWKQHp1Ok+3qwzRyq24e/fhqmYSDZNkY8KkjD35MsLslKgYA5HrKDAzgC4fx5iHBPJAkjGRcusXlYmQyYFqwskZQsI2vaqIUoM9CPt2YSUiZGbqCbypCXvfbaju1/swWxeBKPzz3hBWjvA3flkw+/KPx7r/135pF7nx5VyICYp5954iU8/8+HqKr56aofWVGRyRLvbBMdjKXOD4Rtv+bxgqyQGRpAczkxM1kcfg+l684iMxTDXRymf14jkVXq6Zr9zZJCZikkuwdIdA/824oZ27aINY6O1bANg2RHq0ip7uoQEQ6BELYkiOvYForLTWzRXLy1k5Ed+hgui6w5cPiDxJsXgwSOQBg9GAHnj7vQS4qCHi4aNzbBEQyTG7nZWarYSfd2oQVCuEoriC6aO/FnkM9cW5FR0/KIwUvtkFwmi23bRCrD6F5xzvNnf8eszVfF419xgqiZzZJJZekegPfveJoN99iY4Z4hGr5YjMPtYL2dNwDg639+yWYHbcns2Z/x8L1PjdpHX88Axx96Fo+/fDd19dXjvk95ZQm3PXANZxx/McNDUb75ah5HH3gqF1x2KqusMRNVUbCxGRoY5rxLT+HR+5/hjpse5MDD9+K8y/5Aa1MH5ZWltLV2kMsZbPebLXCoMi++9RBtLV3E4+MrowBUVcEwTV546h9kMhlmrTodVVMYHBji4WdvJR5LYFk2iiLjcrsIFwUJhgIoqkJ0OE4qlWaDTdZh7/13pb9vgEcfeJbGRc14fR4eeeF2/vzXizjusLMYGlyyzkSKw5xxwfFcfM6fSSZSXHXThTz7+N9567X3MU2TcCTIYb//LbFojNXXWoXSsmKuvexWLr/+PO6/49G8w7GIcDj74pN5980PyWSy7LDzVv91njO/KDXT8PAw4fBYsuJuu+1GOp1m2rRpnHXWWey2227L3U8mkxmVfRONrjwC30QQhrvjXxxiDfNxhCI4i8vRPF6SHS1i1CTJ6KEwiuZADkXQfH4yfUK2rXq8uErKCj4tzuJS4s0NgCACG4kEnpp6YYpl29iWJdq2sihqVLdXtNpNC0mRMZMJMT6SFcDGU1lHorVhVCr2iJQzE48Kk7+8hHVECSWpmiBMesV817JMdI8XO5/FtLQ7aTbbT3Z4EF/9NBLtzahOF+6qWnKx4XHjFwCcRaUFZdXyPmjbtrABd3k12eFB4cdTXIYkKyTbW0SqsMu9Ig2oFYasOcjGhnEWly3VEbKJtzbiLC7DWVqOlc0iqxr+sB9kBSyTW+6/mrNP+lNBESHLMrvtvQMHHrE3A30DnHbecfgDXtZYe1X22v7wcd87l80x79sFK6WYAVCcTryVtaS6OzDiUSHjLxKmi4rmgLynmiSBjYni1JEkUHQTzeUk0TdI8epTsS2LwcUT390PzG0gNKWqEPXwc2L5sRqd6EUlJNuayfQvKRa9dVOJN4m/S6K9GU9VHbl4jFyeT6YFQmheP9mhQTw19eTybte54UE8tZNFYfgDDegUzYGzqBRJVkj394jfrySjh4twBEPEFi9A0Z0FTycQcQuqVzg0i87MWEPLEXO/H7IA1a42acLnKqdX0dfWS1l9OVreGDEdS7HxgVtQu85kvvlmPqZhUlpeTCgUIFw0vn+PYRj09vTT19OPaViEwn52O3VPHrv44VHjKs2hUVxbwpT1plG5Rh1XHn3HuPtLpdJ88M4nExYzDoeDdTdck0dfupO+nn6SiSSqqjL7/c9EuOPm65HJZHni4edZOK+BhfPFNfXay25lo83W5U9XnY7H7aK62IcnEhEGopk09LQwqbqIRK6IUDjA4MDYG9dtd9qCF59+lX/+Q0R/rLP+Glx+wQ18/OGX7LnfzthDWVbZbFVkebRlQmlZMcNDUW6+9h4aFzXj0B0FI0kQiqbZ737Kd1/P5+Krz8Tjc2NbNoGgn2wmxzV/urkQi3L6sX/k8hvO47hTj6A1b/sgqwqnHHUeJWVFXHjl6XzxyRzuvuVhtt1pC04+6/fYlkV/3yAVlaXc8dFXPPDUX39Wu4SfC7+YYmbRokXcfPPNo7oyXq+X6667jk022QRZlnn66afZY489eO6555Zb0Fx55ZVccskl/47DLkBSNfRQEckJXDq1QJDsUB/pnqU4HrZFZqBPqIxCETR/CM0XBGzhWDrQh+LQ8U6aSq6wXwnN58dVXoVlGEjYJDtacZVVFbg1qttDur+P7EAPgemrEmtaOCpsMjs0gB4pwVVeBZaFlcshaxpWLke8tQlvtQimc1fW5tURdkGBIetOfLVTMNJJVJdwNbYzmfFt1m2LVGcbrtJKEs2LRHcpmRAkaVUj09+LbZliMS0pQ5JkYWwWCJMa54INwr/GMgwyyxRPuehQPtqhjnhro+jYrETIioLmcmMqKp4aF+meTsxsBkUXn7esaEhO0QayTRMzkUBSZOomVXHrA9fQ3ztAKpkmEPJTXBLB6/NQUlpETV0Vw4MxYrHYcjkm0eGJFS4jsCyL4eEYDk1D1x1YtoXDMU47XpJRnS48VXXYpikWQVUdsxBqvgCxxfNxltYQ7xpEC3hIA4ZDpe2jOVStvxqyqjDRNF/WVHKpDFhp9MDKM0pbFpZpkktM/PmY6RTKMjwzWXeOcrm2DYN40yI0r18U1YguZSxPCpYdDizTEFElLQ0YiTiWkcMZKfnBxZrs0HFEioWBn2VjA5mhAWKLxXs5SyuEWd5S29u5HEYijruimljDwtEJ35KEp7IGfmDYpTfiY+N9NuODp94d9bima2yy3xb0tfbgDniQNZmPX5jNatuthRlQOGyfEwvfR5fLyYlnHsW2O21BecXosWoqleaj9z/j/FOvKPieuNwuzjz/eKpWrWGwcwBJlthg303x14Z549V3yGVzrCNBR9vEESmL8gXIRFAUharqcqqqy2lc3EI6mWazLTfgqy++I5XK8M9/vINlWfz20D2YOn0Sl11wAwvnNTD7vc+IxlOkcybZTBY900dZRTGqqqGHIsiJOHpxObc+cA0nHH42A/1DRIrDTJtRz7SZk9lk8/U55ZgLCue54abrcOPVd7LLntuT6o9TVFU8YQ6drutsvf2mbPXnc9AcKvF4QoRUtndz518f5rs5C4hG4yTiSRYtbOKpR16gv2+QNdZehWNOPowXnnmVxfMbOeLYA5g0uYZH7nuapx8VMu5tdtyMex7/Cy898xr33f4oW227CWdeeALffDWX80+7gqbFLRSXRLjn8b9w0z1XEAz98Ny1XwJWejbTOeecw9VXX73cbebOncuMGUtISO3t7WyxxRZsueWW3H333ct97aGHHkpjYyPvvvvuhNuM15mprq7+WbKZloaZSZNoax7jq6L5RJp2tGHBGHvxEfinzsIycgVTLzOdyreabdK93bjLqpAcDiQbkCQyAz3kcjk8JeXEmxeP60vhLC7Hti0yfeMTUX2Tp5PoaMXOZoU/jEPHUym8Nmwjh+bxYSQTY0i2elEpkqqieXzIDp3sQB+p7vEtzAH8U2YSXTS3kFsla7rgFkmSaHdLMqZpEF88D0V3igWjvWWM6kP1ePFU1WGkEiRaxs+NchaXoQWCIMkoDn2lOgtbprFE1bJUirP4tyWI17kckiqk6a7iku+VyhqGQVtzJ+lMmlN/f+GE6qen/nEvNZMqicdEnoqqKnR39tLR1kV5ZSn+QF71IoFpmMiKTF/PANHhGKXlxUTCQcLFY7uey4NtmWRjUbLDgwxnVV577T2efuwlstks2++0BfsftidK9yCtb3067utn7L8DilNHVhVUXcPxM/lWmLkc2cG+UQXA0pBUDd+kqUKJlu9Ejkiyl8e78tbU5w30RGGj+QKi+JNlQa53unBGin9UzpFl5EQRFh0i09+LpOu481EDuViU1FJWDZ6aSeKGpaQCI5XAEQhjJOPCcC+f52Zmsmhe3w/+viejSboWd/DhM++TGIpTOa2KWZutylDPEMU1xXhCPt5/6l9YhsW0bVfjgF2PGVdVc9sD17DxFuuPKogXzW9gnx2PGmWzX9j+nquZfe9brLPHhrz23vu89PzrhefOvPAEnnj4+QnlwZdccxZ7/nbnFTq/Tz78kqP2P4VNt9yA7XfZiovPumbU8YSLQtzx0LWcffKlHHnsAbQ2t9He2k1tfRWmaVFaVsQmW2xASUmInu5+2tu7efm5Nzjw8L1Ip7P09fbzwTufEAwF2GKbjTAMky8+mcO0mfV8+tFXvP3a+1x/x6V89cInbLDvJnR39/HVZ99QVBJh9bVmUVwaweFw0NbSwZeffsPihU08dM+Thc5MWUUJ5192KvFogkQiybtvzuZf//xg1DlKksTtD/6ZjvZuosMxWhrbKC0v5tYb7gNE1+vAw/di5z22w+FwYJgGvV193HLDfXzzpRhbTps5mTMuOIENN11nhT7XfydWNJtppauZTj/9dObOnbvc/+rr6wvbd3R0sNVWW7Hxxhtz5513fu/+N9hgAxYtGj9tdwS6ruP3+0f99++AojvxVNXirZuSN7cL46mehKu0UvA5lqNkMJIJEi0NxBbNJd64QIyenC4yUTHaSOULEsXphPxs3JNXaHhq6sekzyouN45gkOzg+IZpIDo0vup6fJOm4p8yU0hUuzvRAyFkVSPe0jhuiGR2qB+HP0iqsw34nrHQUrANA1lzCEkwIqQy1dWOjV2QdpuZNJmhftyV1bgra9C8/oJ6ylNVJ4iEw0PLPScQ7faVHZEgK6ogywK2YWKbBlYug4QtihrDwLJMZFXFVVy6Qp4fqqpSN7ma8vISzr7opHG32eeAXZEkib9eey+H7X0SR+1/Cs898QoOXWPK9EkEwwFs22ZwYJh/vfEB33w1j6bFrZimicfj4oWn/sGnH39Fb/fE34XxIMkKqtNNQnFx6kmX8Jer76C1uZ3uzl4euvcpDtn7RKzSMK6SsUVS0apTUHSNb+9/ge8eeomBBc1kExPnff0kWKboaE7wPXRGirEtE1dpBa7SikLxoXl9424PothZ2gLBMnLIikpmoA9HMJz/vdlLOC4/ELKqoTgcOAIhfHVTcYWLSfd0kmxrAmwRBuny4CqtwEyKEZrq9WFls2T6e1C9Plzl1TiCESRJ/lGFDIDb76Z+rSnsdfa+7H3O/my41yZ4Qz4mrTmZ+FCcV259kVU2XZ0tD9mWJx95YUJ58P13Pkb3UnyvXDbH3+5/ZtxCBuDhB59hte3XIqczqpABePbxlznkqP3GfZ3P72WdDddc4fOrrq0gHAly0JH7cOl51405noG+Qa6+5GauuflCGhtaWGu9NdCdOi8//08+fv9zbBuaGlpoae1Eczj4+IMveOaxv2MYJpec82dOOvJcvpuzgLKKEtpbO7FtmzXXW5XyyjLWWX8Nrrv1YgYXdbPx/puzcEEjqqqw3kZrEYvGOXzfk/l09pfE4wlefOZV4vEE99z6yKgRU1dHD2ed+CdmrT6d2klVYwoZEOTqq/90M6lkivoptbzy0ptU11UyaUotjzx/O/c+9hfWXGdVbNtG1VR8fi/z5y3i9POO49xL/wDAPgfuygfvfLLCn+svESt9zFRcXExxcfEKbdve3s5WW23FOuusw3333bdCCoEvv/yS8vJf7jxvxJZc9fqXSHkl6XvD3WRFKcg2rWyWWOMCPDX1eEorMA0DZ1EptpHDdjiwTRNZ1bAyGWxDdAJ8k6ZiGSZWLo2sCSn29xnI2ZaFaZuCWmIaSJKEs7ScXCqV7wxN8FpLeIi7q2rI9PfiCIRITdAV1rz+gpxazs+fPRW12Ai7dT0kyLyy5sBVUU2qs51MXw9GIo6zqBRnabmw5VdUFF3HSCWWO44R5yth5XKYsrzSE7llRRGLxji7VfUf/16BUIC111udux+9geuvuJ3v5swnXBTiwMP3ZsttN+a4Q88sqC18fi+qptLS1M7QYJSyihJKSosIhgKssto0HrrnKb787BvOv+xUEvEk9VPqePet2VRUlVNUEvlBvApF1/n6y3njKiQG+gZ5/KHnOPbEg0m29zK4oBlZVSlabQqqS2fu34TJl5nJ0fz6R6hOncjMSSs/8yj/dfDW1BNvbRx10+AIRVC9AVLd7biKS7GWIo3bto0WCI5bHLtKykl2LekMqC6P4E7k5cTOohKSnS2oPyFnSJJksIUB3tLiASMRJ+PQ8U0SESK56BDO0krhY1VVK0w3ZQV1JQZGurxudJfOYNcgrXNb+Oadr9l8/y3ZaM9N+PDpd5mx2ao0NUzMj2ppaie7lJQ3lUqzaMH43VOA1uY2yqZWcOfdj4x5btGCRnp7+jnxjKO459a/kUqKblrd5BquufmPVNeM9WeaCKXlxdz24LUsXtg0odT409lfYhgWG226LicffV4hxb7NobHuhmuwxjqrIEsyQ0NR6qfUsfk2G/Hs4y8zODDEvU/cCEBPZy9Ol5MP3/0EWVHYfuctWWONmVimhTfg451/fshtf7mP7s5eIsVhjjzuQO54+Fo+nf0lFZVl+Pw+HlmG8Fz4LJMp3nz1XbbYdmPWXm81Pv9kzphtGhY2M33WFN5+4wOKikJUVpdz3a2XcNJR59DeuuTivNa6q3HhFaez/c5b8+oLb7Dmuqtz6nnHIssyU6bXrfDn+kvEf4wz097ezpZbbkltbS3XXnstvb1L2P0jyqUHHngAh8PBWmuJxNBnnnmGe++993tHUb8EyLIMsgPyd+cGaVSPb8wICkQb3M4TeUdgmyZWNoORTOZn65Z4LJcjl4gVHHkL+1AUPNX1ZAYHMGJRFJcLd0Utmi8woTrIEQxjJhKku9oL3jOq1y+StuVwvssxFpo/ABLkYjHsfPaNs7hsTBdHUhRc5ZVCCYJwIU53tWNmM/gnzyCTiJFsby5s6ywuwz95OtGG+ZipJInWRiRFwTdpWoGXIMkKmtc/4TlpgaAo+kwDK589JEkyyjjckX8nurt6aVzUzFuvv4/P72W7nbagoqoMn3/JYugP+lh/47W57cFrSCXTJJMpXnj6VZ5+7KVCIVNcEuEvd13O5RfcMMrvoryylL/eexU+v59jTj4UWZF58uHnWWOd1XB7XGy/81a8/vLbVNVWEAyueKcyk8nw3JPjO48C/OPvb3HQ4XsRKC/G4fOged00/uN94q1jR5tt73yOt6IYPehbqUoJSVWINy/GUzUJ/5SZWNmMGAepGkZsmETLYjG67GjDXVYuMphkhfRALw5fENXlydsqGCL3rKiETH/vKHWcHi4m3rIYSVYKv1VHIILq/mmjMzOTGlcFaWUzpAd60UJhnMWCMIxtic9NUVB/ID9mRSArCr6wh/o166meVUPr3BZe/usLAPhKgkybMXmUAm9p1E+pxe1eovCSbJg2YzJffvrN+NtPrSObypKIj9+tu+OmB9jnwF15/O93MjwUQ9cdhCMhSsp+WGaQJEnUTa5m3ncLl7tdPBanp7uPP/35HLw+D4qqUFNTyWsvv8U9tzxCRVUZ6264BpqmcPxpR9DXM8DeB+zCxWdfw5wvlyjMtthmY3bbZwfuu+1Rjj3lMMJFQR698znef/tjjvvD4fj8XoaHYjz3xMu0NXew529/w+BglLXXW53J0+owDZMvP/uG1qZ2osMxPv9kDqlkioZFzSxa0MgfrzqTS865li8++XrU8cuyTDAc4KG7n+DKGy8gFA5w7CFnjipkAL74dA63XHcPu++3E9vtvBV/ueoOjjv1CE447GweePrmH/TZ/tLwHytmXn/9dRYtWsSiRYuoqhrtPbL0nfell15Kc3MzqqoyY8YMHn/8cfbZZ59/9+H+ZKj5EVSsadEofoukqHiq6kh2jhNnkMlgpJM4/EEs00DWNLKxYSSkMdJO2zSJNy/CVz+DjKKQjQ6RbG/BU10r7NiX6dAobg+SLI+azQMY8Sjx5kV4a6eguDxjeCuSLIoOLJPMQB+eilpiDfPwTZ6O5vPnpdkGqseHIxAikTcJdFdUFxxaAZJd7ahOFyP3SrZpiuKsDLyTppHt70F1e9G8wsF4pIVuIwkjQKdrlBJLfJYKeqhIkDbzqihPdR2y7kbKZVfY6l0ow2xsO19gWpboLtk2skNHkpUfVBy1t3Zy9sl/4uvPvys8dudND3LKWb9nv0N2H1XQgMh+GRqM8sYr/yISCfLYg88CEAoHuPneK7n52nvGGHd1tndz8tHncesD1wBw/RV38Iezf0df7yCpZIr53y0ShpTWD6PISZKMvpyOk8PhELEGiTSx1m4kWRq3kAHIDMfz3cPcSi0uZVXDU1EDlomZzZCLDiPJspCZ+4Ok+3uJNy/GVz8NM5PCzGRQ3R5U3QmyJLgvxaVCrac7hVdNPlJgJJIjk1ce6cVlZIcGcJaUozidwl37R8IyzfGJ83lkBwfwhYrIJmPovuCPCvP8odCcTvR0FsMw+ed9rxUen/PGF+x9+cE8/vBzGOPEVfzuxEOQLWj+pgmn14ksSeyx144889hLo8IMR3D0cQeRaB5ksy035LOPvx7zPIDH46K8LEJVVSnqT+iwulxOZq02bcLnK6vL0RwapmGxYPFikskU875dyD4H7spa663Oc0+8wsvPv8EDdz3OZdeJsdKLT79K/ZRazrvsVF565jX+/uzrDA0O869/fiDGvpZFPJ7ANE38AR+bbLk+f73uHvp6BigtK+bAI/ZGURVcLifNjW3M+Woum221IWXVJVTXVmCaJrYN0eEos9/9jEAowPSZk4kOx7joqjM4bO8TGR5aotLdZMv1SSXT7Pnb37DOBmvQ2twxIf/urdff59hTD2doMEpldTm2ZXPrA9dQXvnLtj/5PvzHHIAPP/zwQv7Osv+N4LDDDuO7774jkUgwPDzMRx999F9ZyIxA0Z346qbiq5+Gq7RCOLJW1ZLsbB2lNhqBrDvF4i/ZhWgEybaFpHM82Da52BCy5sA3aRqemjqQZPxTZuIIRYThnUPHWVKOt3qSyK4ZB1Ymg53L4qmuw1VWKRZwVcMRKsI3eTq5VBJkBSudRlLFVyi2eD7poUFcpZW4yqtF8jbgLq3AP3kmNlKhCwOiaHKEIsL7Zimke7uRFQVXWSWaP4jidI1Si8iyhGUYeKrrcRaXFYz8HKEifJOmkWhrElLysip8dVOQHU7snMhUMrMZUaCM+dhszEwGI5Uk2dVOoq2JzKAwQDRiUYYXfEu8cSHxpkVEF35HdnigUJR9H9KpNO2tnRx13EFcd9slXH/HpWy57cYA3HjNnbQ2j/Wg6e7spa+3n1QyjWlaqPnzP+Xs3zM4MMwH//p43Pdqb+2kcVEzXZ29nH7ecZx23B8pLS9CdWhkM1mmTq/H6f5hi4LDobH/oXtM+Pw+B+yCR1UZamjHGQngXE7XR3U7CzYCKxuSLJNoaybRvJjsYB+Z/h7ijQvJDPTiq5+GbRoYqSSqy0NueJDY4nkkO1pJtDSSaGtG1hykutqwTKPgVu2tmyLMBbvbycWj6JGSfDp1XBD1J0iiXmEsc70bZwMAnIHIv6WQgXzatqaSGEqQSSz5jlumxZwXP+WWe68alajsD/i44i/nU1pSxIPn3MeTl/2Nu066lRdvfp6yihL+eu9VFC3FqQoE/Vx69dmE/X6qV61l+122pLR8LC3BH/Cx38G7o2jaTypkRlBcEmHnPbcb93yP+8PhhCNBGhc3897bHzHv24XsuOvWxKJxGhY1c8EVpxMpDpPL5rj8ghsoLi3i7ItOxOvzcM3FN9PZ3s25l5zCsaccBggH4S2324S2lg4UWaayqhyP18O0GZORJInurl5uuPJ2okNRPnzvE3TdgW1anPr7C9hjm0O55JxraW3u4LEHniWTzjJ1+iTWXHdVjtjvZM484WKGBoY5+azfFc6htKyY3514CA6Hxh77/oZUKs3w4Nhu3wgsyyIZT9Hd2Uvd5BokWSL3XxZdMB5+MdLs/y9QdF3ECzh0MM0JE3IlVaiaZNUhOhrpJNhhJM0xqv29LKxsBtuySC+eJ1KAo0NYlomnqg7NH8TOZsgOD+HwB5Zr+W+kkqiyAqqKp6oWkDBSSVKdHbjKKwpRCUiyGJMZOXIDveQGegW/xeXOy0gXiJFXWeXo85MVzFSyoCoZGRvZ+QwkSXOMu1BIqoqZSpDqasNdUS0M9CTIJhNkBvpwlpSDYZAe6CXVk0V1eXAWlZAZ6iMXHcZbNxlZd2EbefKuomLLMnYmTaJlKclndAilpp5EW9PoA7BtUp1tqC43yPJyF5lUKsXi+U35i5MYCbpcTg4/Zn+mzZrCnTc9yEvPvjrqrtGyLBobWmlc2MR6G63FPbc8zHa/2ZLHHnwWl9tFIp5c7gI4ODDMHTc9wDV/vYjrb7uUoYFhzJzBqmvOpKa2EuePMHubMn0S2/1mS15/+e1Rj0+fNYVtt9sE3evFzGRxBnw4fG5kTcUa5+69dO0Z5FJpNM/KdRa1LIvs8OC4mUfZoQEcwYhIg5dl4a2zDGnXNkQumK9uauGztfLdBNmh4y6tBEkiOzxIsqMFd2UtuVQCh+enyc1lVcURjEw8BvaHRnUl/12wjSyyMvY+d9773xHtHeaGm/8EuoyRzeFxu/HoTpI9MQ669DBy6SxIEt++M4eXrn+WnU/enQefuoW2hnYkCSLFET587B2s1S0cTgdO3cl9j93AfXc+wUvPvo5pmmy30+Ycc9IhlBaHkCfIifuhCEdCnHTG0cyYNZXHH3qO3u4+Vl1jBgcftS/hSIjb/nI/Lz/3RmH7T2d/yZbbbsymW29ET1cv+x20G7f95X5hIFgU4ncHnj7KvO7NV99l/8P25OAj9+Hhe59CVmRq6qp4+N4n+ceLb6GoCtvutAUHHL4XfzzjKgYHhrn/zsd5/O93cfOf7+LNV98b9d5ffjqHG+64jHNPuYwrb7yQvt4BQuEA3Z29nHbcH7nv8RvZafdtWG2NmUyeVkdRcZh0WkSIyJJEWUUJADvsshU77bYNhmGiaSrtrZ089sCzBMP+Ahm6p6uf6TOXiHL+W7HSpdm/RKyotOvfjVw6hWTZZIcHhDtu/k8hTOqqSXa04KmsxZYg1dGKd9JUzHSKVGfbmBHLCFxllWSHBsTzkoy3ZpJosU+ZQWwpabh/6kyii+ZPSPL11NQjOZzIskQuHhV8Ao83P6qRiC74Bu+kqRipJA5/gMxAfz6kUsYRDKP5g1iGSbxhHgC+yTOILZ5X2L8eKcbKZsnFo3hrJxNvyhNMJQn/lJmFfJcRiARtYVmPLGFlM4K/gODEGIk4kiyTS8bJjuOu6qmqI93XjZlJ46ufVvD0cISKcBaVCGfVpX4KjmBYJIlPEMipev24K2uFmdwEd46Ni1s4aPdjx02yveDy03jkvqeZteo0rrzxgsLjqWSat15/jxuuvJ0b7riMv157N/setDsvPv0Pps+awtSZkznn5EtHKR4K5+h188BTN2OaFpmM4COUVZTg8YoiqKauCu1Hkkb7+wZYNL+Rxx58jkwmwx777sTqa85ET2Vx+LxkYwka//EB0/fZllwyxeIX38FILek2RmbVU7nJGuSSaVxhP5rHvZx3+2EwM2lijQvHuPeOwBEIofoCqE4X0UXzKDCGl4GnehLJjhb0SAmq24OkaFjZNJn+noKnkBhHObAyKRzB8E/m/piZNInWpjEFlqRq+JcKaP13ItXfTzJl8+C595IYGqvWcvnd7Hf+gTxwtuAurrL5argDHlbfek2a5jTS9l0L6+68PsO9w3iCHnwRP5Zpc+/pd7D32fsx1DNENpWhamYNodIQ9DeBy0vSFlEPLgykVBzN58ddUYXiWDnFr5E16OvuI5FKEY3GyaSzFBWHefetD7nhyvFN+q7560W4XC5M0+APv7+Ag47Ym7bWTv71xlhVEcBf77uKc06+lPufvJljDz2Dvp7RvMPaSVX89b6rCUeCvPDUPyirLMHpdHLG8ReN4Q+tu+GarLH2Knzwzsf84dxjefm5N3g+z1+79YFrqKuvwTANnE6deCxBT1cvfb0DrLXearQ2tdPb00/Dgmb+dv/ThRy4yVPruPDK06msKsO0bDLpDC6Xs1D8/BKxouv3r52Z/yAUhwMzlULSdeEzk78YW5k06d5O3BXVouuQ7zgomgMJ4aWSaB07IpIUZTSXxBauwEgSWCKwcqTFb+Zy6KEImYGxC78ki/1k+nvI9PeKsVF+cU/39qAGAniqJ4kYBqeL7EC/8LsIhpCQQJaEB4bDIRxLM2msXEYYj2WzohvjCxQKGCsn/HVs0ygoTUY8d0RYoCA8jxRT2YFBZE1DkhVhABgMYyRiOIKRcQsZSdVI9/egR0pItjdjJOJogRBGPIYjFMZIJcemR6vamAVmaVi5DNgWRioFlpXPrBpdKHzwzifjFjIAj9z3NHvtvzMlpRE++NfHfPTB52yz4+aUlhVTWV1OX88Ajz3wDGdccAKfzv6CvQ/YhWQyzRsv/4s9f/sbHn/wuVH7q6gq49rbLmZwIMqFZ1xZiEWQJImd99ye4089/CcFP0aKwkSKwqy13urYloXu1MlE4+CX6PrkWzKDMWq2XJcFz75J9ZbrMOO3O5CJJTDTGZwhP5KqCP8bVUX5iRlTy8K2lx/gaFvCBdvO+zZNBMvICWJwTyeOSAnOcJHId6qoEQnwef8nyTLR/MGVQmIWvkp15GLDgoRsW2j+IM5Qcd6G4edHNp3BsmyMTA7LtDDSJrnhGLuesgdPXPY3LHPJZyvJMructAfvPfGvwmNzP/iOPc/Yh+GeIcomlfHdv75m0WcLKaktRXWofPTsB2xxyDbUr1lPoDhA41cNlNSV0t/aS+WUUpJ9NiRjLFve5qJD2KUrrlz6PkT7hon2R3nuhdf48J1PSCZT3Hj3Fdxx04MTvub9f33MgYfvVeCfrL3+Gjz6wLOjtpFlmY23WI+ddt2GouIwtz1wDc1NrYVCRnNohEIBosMxmhvbeOu19whHgmyx7caAxNtvvMcue27P4w89N2q/n87+kt8esgf33PoIHo8bp2vJTVNHWxebbrnBko3LxSitp6sPWZaJxxKkUxnuu+PRUftcvLCJ0465kPufvBndqRMKBwn+myJHfm78Wsz8ByHLCpLLVQiNlDUdJGGdr3pFGzDd25WPEBCeGLLmQHV7cVfWCI+WvO/DSDcn1bWM0VT+2p0ZHkQPFZPuERyNdGcbnpp6rFyGXGwJkUxSVLy1k7FtS7TYK2uQVY1URwvOSAnOSJEoaoYGCp4ujkBQEIqRyMVjGMkEjmCIVFcHrrIq4s2LxHF7fGgl4jxGmd7lybqq2yPGRDaAhJFMEG9eNKrQUHQnntrJRBfNQ1JkvNX1wom1WJDXNH8QIxEXhVEwjCMYKRSJqtsjFFzpNO6yStL9PWQG+tHcY7sEZjaD4nQVQguXheIUr7FNU4QQKio2oCxV0Mz/dmIFRdPiFuomVVNTV8lJR51LS1M7993+KLvutQPHnXo4hxy9L/ff8RjffD2PU889luraSiRZ5rLzr+cP5xzDwUfuw9OPvkQqlUZVFS677lx6u/r545lXjyIG2rbNS8+8SqQoyIFH7E1pWfGPDkkEwaEZge73YhommaEYgwtbSA/FqNhwdWRZIZtIISsy2ZyBkcnR9sbH1G27AXrIu9LjDSRVQfP5JyTTav4giqaLollWJkyNV90eDLcHazhLtr8Hh9eHrDtFTEgmi6yqqG7vSlfGKboTSXOg+gKiaNIcEzrFrmwM9w1hZAx6m3to+qoBb9hL5cwaPH4vLjXHcbefTDKaJBVNkkllKK4tpWtxB83fNBX2YRlmIRPq3cfeZouDt+HZa5/iNyfsisvnpmNRO2bWYO0d16Pl22YWzJ7LjI1nES4LYyV+/qiZEcz/cC6la1Tz9N9eJJUSo33ze7giEtDb009/PpQxHAmO8qpxuZzc+cj1+AJekc1kmDjdTkpKi3jjo6dxe5xYlsXCeY309Q6QTKZ4/+2PKSoO8+Izr3HSmUezyRYbMHOVqWOKGbfHRTabw+nU0TSVOV8sUU1NmT42iiIQ9BMI+rFtm0wqy+8POm3ccxroH2LBvMVsttWGuNz//s7fz4Vfi5n/MCRZQdWX+JbYloVlGpjZLJgG7nwm0tJzc0XXkR3FaHkvGytnYGXTJNubR6dN5x12sW2y/T34p84iFx/GTCYwM2mSHW24KypxFpdjZtLIqiAIZ2NRZFnKxw1YhSRwqbQSZFmMZAo/aDGKycWjeGsmI2sams9HorUJsHGVVuQVQDK2aZDsbsfOjfZ7UN0evLX1ItguNgyShOYNiLHYMt0EM5Mm1d2Bu7yKZHszqa42NF+AREsDqluYjNnhokJWjW2JMEEsk0RbE5ovgOL2kBkaFK9rbRJeN8sgFx3GO2kKmcH+cROO9bAgQZrpFOn4cEHlJXl9BWO9qTMmnkNX1VRQW19NX08/LU1LJPYvPvMq2+60OXvsuxP1U2p54uHnuejMq5k6YzInnn4ktz1wDScdfR5rr7cal153LpIEJWXFtLV0kEykRhUyS+PpR19iv4N3Jx6Lk05nCQR9y1UprSgUVcFfW8HgghZSvYM0vTq6/e6vKcNTXkTFBqviLA6ireSujDgGDWdxWT4Re3ShIus6qsdLrGE+3knT0CPF4xpBKi63yERzuZEVhcxAH7nYMNbwIA5/QIxX5Z9P4i/LMvIKJl6vLMQGYiQGEzR8voia1etYfdu1UDWF1+7+B23zWtn9tL2Y+/63fPfeN0xaczLTN5yBZVrUrjqJI/58NE9f9QS2bbP+bhsRKg9jGSIawx3wkEmkkWWZXDpLoCSIaRiEysPM++BbDrjkUFw+F/6iAEZSm9CFWfX6kFZiUZcYFnEAI4UMwOcff832v9lyQvuBXffegdhwjHf++QF/uvYc/AEf6220VkGifucj15LNZuhoizPni+948/X3WWOtmayzwRqstuYq9Pb2s3heI9NWmUJpeTE3XHk7Bxy2F+//62M+ev8zfn/yIXz73ny22GajMe+9y57b88Yr/2K3fXYgm8kUFIz1U2uprq0cs/0IRjqGPcsxyZz37SK233mr7//Q/ovwazHzC4Mkyyiy43vVC5IkTOds28YyoiQ7x1p/u0oryCzlAJxoa8JTPQkrmyU7PIikCNMuVBUrniGXiCHnYwriLY2j+DSyQ0dY5Yn/t5bh7DiLy8jGo2QH+gSJF0HWtQFv3RQsI0cuOpZh7ywuIxsdIjPYj6ukDNXlwTJymEZuQj5PbngIV4noxBjJRKErYyQTxBoX4pu6ChhZ4u3NBbK0pGp4KmvIDA+ienzCH8S2URx6fuwUJje89HzbJt3Tha9uCon2lkJ3R9Y0XGVVwvOHLIpDRyuvFoVaewuOYAhnURmKrrPpVhvy12vvGXXxHMGxfzgMVZU595TLxjz3t/uf5pq/XsQGm6zLqmvMxLJMXG43oUgAj8fNoy/eQUdrF/19AxSXFjM4MMR3cxagL6dQiMcSpJJpHr7nKRbMXUTNpCr2P3RPSsqKiBT9sJiDZRGcXEXbuw7M9FgeT+m6s0h09uEqCZHo6EV16Wgu50rPapI1Df+UGaR6OslGh5AkWYS7hovIxmN466aCIewNnMVlS0IeEZ0bPVwElk2qqx1v7WQyQwNCwef2INl2PrvqPyb+/FmQS2fJpjLUrzWZ5m+aUDSVr//5BV2LO9nh97/h4+c/JBVLsevJe/Dl65/z7DVPIisyq221BuvusiH7nL8/2WSWtx56g1fvfJlgSYD1dt0IzanhLw6Qy+TobelhjW3XwrJsHE4HOx63K86lCOCyQ0cLhArhngVIMu6yqhW2U1gRVEytJGMY1NVXFwwAb7nuHh5+7nbeffsj+ntH81u22n5TSkqLKC0v4ZRzjsXv95BJZznt/OM4ct+TmbHKVNKZLF3tPTz6wLPMXHUax//hcP75j3d47olXaFzUyk67bc20WZMZ6BukuaGVU876PRedfQ177LcTAO++OZtkIsXMVaZSP7WWhoVC8Tlt5mQ221pcP0499xiOPfhMADbcdF0uuuoMiktGq0CXhaoqhItCDPSNz/kbr7Pz345fCcD/AxgZdaR6u0SonkNHD0XIJWIFPxpJUfBOmgqShJnNocgytiQhqyq2aYo7WknCNg0SzcsEuUkS3upJWKaB6guQ6esmM9AnuCKqhrO4FCyLVPdombGzuAxHuGhJErZlkurpwkwmkDUHzpIycTdq20JWnkqgOd1Iiko2OpiPSxgfI3lPsEyGTj5AMbp43rgdFd/k6UL+rTnIJeO4SspJtDbinzxDfF693VhGTqigSoT0Wxy7COS0zBxmKonq8Y4alcm6E09lDbGmRUIVYxpILg9zvprHmcdfTG+PGIGomsoRx+zPzntuz0G7HzuuadjMVafyl7suHxPcNx5M02Sgb5CH73uK+sm1XHjGVeNuF44EOe3847jgtCuXHLMsc9WNF7Lpluvj9f/44sK2bVL9wzT8/V0SnaJ4dvg91G6zPq6iELH2bpr+8QF23uMmMKmS2u02xBVe+b9FM5fLF9MSKDIY+e+1ZWGm4iTbW9D8AREDACCJ0WhmoA9vdR3xloYCb8tZVCriNYYHCoomWdX+LSngPzdMw6C3pZdULImRNXjyisfY++z9ePLyR3F6nOx0/K48d93THHTpoTx15eOk46NvXgIlQX574UEMdA7g9rt57rqniPaKm5V1d9mAyWtPIZfOkk6kiQ8lWHXz1VA0lUDx2BBDM5fDiEdJ93UXYhtGbBdWppJroKOfvv5Bvpu7kD+eueR3ssrq07nkmrN5/ZW3efv1D/B43Ox/2J6susYMqsZxGzYMg/bWLhLxJLfecC+bb70RH3/wBTNXncqNV4+O5PH5vVx104Vcf/mtbPebLdlp921ZOK8BVVU4/biLOPaUw/jq82844tgD6ezo4evPv2WjzdbF5/dh2xaV1eWYpkkymcblchKOBJfksC0HlmXxyL1P8edLbxnznM/v5clX7qGi6r/DV+ZXAvD/I0iKgqSq6MVl4sefX3zldBpHIITi9oiQPMvGNg3MRAytqIR4SwNmMoG7sg7F5RIjKc2Br34a6f5erGwG1eVGC4REC97jB8vGES4WF3xbvHcumRhTeCguj/CQsW0xdrEtDNPCVVYp7oglKZ+lY4OsYBsGDl8ARXNgplPLdVaVNQ3yvA+haFoCZ2mlIDVPUKOne3twhCL5bBwdLBP/5JlkY0PkhodEovfSKirTwsqlRbK0pqFoGrZp5cdoS2Bl0qR7uvDWTsG2LbLxGJptsda6q/HgM7cw0D9EJp2hqDhMKBLkrpsfmtD9dKPN1ifodQnezvd4bCiKQnFpETvsvDWNi5spqygpkH+XxoGH781zT4xupVuWxSXn/plHX7zzJxUzkiThLgoyfb/tMFIZbNNCdeogS7T96zN6vx7NHRpubKfhpXeYstsW6MHvvzD/ECiaBksTsfP/a+ayYIm/ay46PLZLKMt5qpaMrOlowRCZgV6yw4M4i8vJxYZRPV6s/A3AfztkWcYyLTwhH28/+AYur5NYvxhRFteW0javlWkbTGf+7HljChmA4Z4hWr5tomNRB6tsthrbHb0TT1/5GACfvfwxa++wDkbO5JMXZ7PuzhuILLnA+L9pRdNQQhE0X0C4HCvqyo+8ALwhL4l4EqfLwcVXn8ldf32Y9tZO5s9dzD23Psyp5x3PrnvtgKIo6E4HRcXjdz9UVaV2UhXNDa0EAn7ee/sj9j1oN04+6rwx28aice7+68NsvePm3H7jA/R093H0CQfz5Wff4HTpbLrVBrz9xgfIssxue+/AbnvvsFLOVZZldt5jOzo7unn0/mcLmVrllaXceNfllFd+/43Sfxv++3+VvwIQ6pvMYD+K042i61jZLFowhEMtznc+wLZyKJoDtbQcWVHRw8UkkwnSvR24K2uJLRKLjuoP4SouHXVBkXWnKEJsG9XpKnRzJEXBoaporplkhgfAFEoP2eHEymUFvyd/8Xcs1TI2c9lCZIPi0JEdjiWLhCQjKRqq2zuuoshZmp8XKwrOotJRxE9ZUTDTExvamekkklw0SiaOJOEurxZqKYeT7NAAudhwQWYOkOrrEYWOopLqHD+jJheP4iqvEmqfQBgQcvLK6nIqq5fkidm2zV4H7MJzT75CdHh0vEUg6GePfXck1bQApW4Ksqqt0IW9pq6SBXMXcdFVZ3LLdffwzVfi/JxOncOO2R+X28mns78c87pEPElPdx919dXf+x7fB83lRHMtKQSTvQP0fbt43G3jHb3kUhkcfs/PsnAtC0VziAJf18c1qBQcKAn/lBlY2SxWNoMeLkYLhEg0N+AqrxKRAj+D4d9/ApIs43A6sGyb4Z4h0okMnqAoaI1sDt2lM2XdaXzw5DujXlO/Zj31a09FyavTNvvt5vS29FFUVcQqW6yOLEv0NHcz2DlIKpFi4302Q/c4cXqcqI7lLzc/d5HocOl4fR7qKirJSAannXcsDt2Bx+umpKSIWDSOx+NEVbUV6n6omookQ0lpEU2LWyYM4fzi0zkc+rvfAvDcE69w6O9+S2lZMUcccwAfvf85hxy978/SJQkXhTjh9KPY/7C96O8ZwOV2/qhIiP8W/FrM/I9AkmWc4WLSfT2kezpxlVeJ9rphgCyjOvQx5EXN6yvkRUmSJHKcYsMY0UFiUTFrlVQVf/10Ie1eqsUuqSqFr48CaA5hBGiLcQzYgkw5wQVK0RzirnkcHw3Z4cDKpHFXiiBLQcK1kB0OXPlCJjs0gL9+Brno0KhsGzv/eiYIaJYd+tgCybZJdrbinzKTWOOCAuEZROif5gugh4vIxaKF4mYi2KaBbdlIkuDwaMvY3ZvZDEgykaCXex+/kVtvuK/gWbHldhtz/KlHEnFY5BKQ7utG0V0oK0DU9fo8bLfzlgz0DXHaecfh83vp6x0gHAmhagp7b3/EhK+1TJNkIol7JXq/gAiYtM2JF/9sNI4r4v9Zc7NGVDYg/vbe2ikk25qWqNQkCT0UEaq3TFqMJwsFi4SzuBRf/VTiLY1C5fc/UswAOFwOcuksJXWldDd2kYqlCJWH6WroZIuDtiaTyqA5xd9mmyO3Z9r608mlDfrb+3B5XeRyBplEhnCF8NtZe/t1mP38B8zadFXClRF0jxPLMNHdOg7nfzYbbQTB0iAAX7/1FatuPhPDtJBlCSNn4PN7kCUJX8CLYwW+k0UlEULhEGutuxqNi5uXu+2I87hlWXS2d1M7qZKWpjC5XI6pMyb/bAWGx+PG43FTsxzC8P8Kfi1m/ocgaxqu0nL0SJEI2gMkTUNWJigoHDqe6jqhyOnvxVVagSMYzquYTDRfAEcoLCTHuv69vhpKvnBZGdbrlmkSWzwfZ1kl/snTAaH0Svf3kBsexFlSLsjNy4yTctEh9HDRhCGZzuLS0bLwPByBkMiVMnJjnsvFhnGEImT6+9CDYTHiGmdRk2QF27bJxYdRdBdGKpk3DzQEN8m2sTIZJKcLOT5IdYmfsy48gVPO+p0wC3PqBD0OMn1CbWOm0+PGL0yEkQtXdW0FnR09vPrSW/j8HrbcdhPCkSAD/UNjXqPrDkrLS8hmDX5iZmIBppHDNkwUZ55vNMHIT/P+fLJQK5fFSKfIDvSBLKOHi0WXUFFxVVQLpZtpYVsW2eggEozj3WQXrBFUt0eoA//Nbrw/J/xFAQY7B1h/94349p05vPvoW+xyyp68fvcrfPvOHFbdag3W3H5t3AEvDpeD4d4olmHy6d8/pvW7JYt33eqT2On4XQmUBZm6/nTeeuB1PnlxNgdddjiaU0NzqFim+W93Mh4PkiwTKg+zyb6bkY6nUTSFjJHDNk10pxO3Z8W/k7ru4IDD9+STD75g9bVmTbjd5Kl1dLYvySvz+TyYps2a665KIOibcJz1K34Y/rfo+b9CqKEcOqrLjaI7JyxkRqA4dBz+IJ7qSch5MztPVR2e6klooYgw0NOdKzXl+PtgZYWySvV4SXe1EV00l+iiucQa5hdUD5rXT6avBz1chLO0Aj1cjLduCqrTBUi4K2pgafWJJOEqr8bMZApqq6Whef1jFRVLIRcbRnWLCAPVPT6/xFlSRqavh+xAvwgy9HgxEnGsXFYYB2azSA4HkiQhaxpGdJiI30l5QCeUHcLR30qqswWHP4i7vHqFCsiJYBgm2++8JdNmTEZ36Zx98cnj7uvks3+P2+PC5185lYyZy2Fl0timgaI7CE2rGXc7ZziAqqs/y2jBzGWJNTeQ7utByhO9Y4vnFRR/ikPHtmyyUSHldhaXie7fBEj39QgiO6Jg/V9CqDyMy+9m/4sORlYVXrzxWdbZaT1W2Xw1nB4nU9efge7SCZeF6W3uZvHnCymfWsGa262Nyy86eU1fN/LqnS9jWTZmzmSP0/chl8nx1oNvYJtCIZbqaiOXiGOsYKbZzw1VU/GGvLi8LoJBP6FI6AcVMiOoqCxjo83WI1ISYb9Ddh/7PqrCsX84vOAhU1wSwRfwUTupislT634tZFYiflUz/YpfFGzLEoGPna24SiqItywe0wXRw8VCTdTaiLemnnR/H+6KKtJ93WgeH8muDmGDrjuFpFqSUBw6uVSSXJ4Psyx8k2cQb1w4oaGaIxTJ36H7AFuEGeY9aCRFFconh06iWXBEvHVTARszk0bNF0qOUIRURyu5RAx//XTSfd3IupP0MiowAD1SIsjbed+TH4qGhc14Ax6ig1GaG9uZseoUerv7ueeWR1i0oIGqmgqOPO4gauoq6enqZa31Vv/B7zEejHRKyPATMXR/CCNt0PiPD4g2L/EScUUCTNljSxxekTqt/MiIhfFg2zbJoSjZjEliKIFlmrgDHlRVQbayuAI+NI+nsC22jWXkSHa0Iqsams9fCMPMDPQVQiV99dNAUVF/xpHYfxrDPUOk8mRfT9CDoqkMdAygagqpWApPwMOct7+i9dtmXH43q26+Gn1tfbz72NsA/O7m45GQeP3uVyifWsmHz7zHsbeeiDTQUujO6eFi9OJSkVj+P4aB/iE+++hL7r7lEfp6+llljRnse9BuPPrAM7z31kd4vG5ufeAaaidVE44E/9OH+1+DX9VMv+K/Elae46N5A6S62vDVTiYbHS4sKnoojKw5SLS3iM6LJGFl01i5HIrTRbq/F3d5JZKUz2/Kuyqb2Sy5WBQ9UjymmFHdHiRJRgsEJ3aR9flRnG6ii+ahh4vQi0pxhEbu1mUyQwMFRZfq9WEkoqheP5pHEAklSSIXHUJ2uiBvDOgsLivIy5dFpr8XPVL8ozszRcVhPp79BauvNZNV15hOKpmmsrqccy/9A9lMBl3XGRoc5s3X3sXn866UYsayTIxkHMXhFHk6kkSyfTGTdtoIM2uQiyVRXTqKrqLqqpC4e1fuzUV8IEZ8KEHz140s+nQBsqowc+NZBEqChCsi9HYMUFKroeY7ZLZtY9vgKikn1dNJPF+MSqqKs7hMdNeSCREV8j9cyICQWwdKgoV/R/uG88neFi6vi4fOu5dUbImyaeHH81l35/VZb9cN+eTF2WQSadx+D41fNbDerhtiWzaWYf0fe2cdL9ld3v/3cRmf625rSSA0SIDg7lK0WICiLQ0Ul+IUa4HSIqUUqfxwC6FoCoUiQQIkISGbteuu48fP74/v3Nmdvfdu0mQ1mffrta9k78ycOzP37pznPM/n+XxQjrledteW0bM5uB0WM/m2LA979AO5+70uwvd9fN9n/w0H2bNvjEc85kGcf+Fe8m25ViFzimgVMy3OLiQgjtGzObz1FUrjB9FSGeF2HIW462sYOSHWNDu68TbWsLr7qC3OIqta3UxPrHzLmg6KhCTJOOsrKJom/HaGd1Gdm24Y4ZldfXgFkfHkl4pbdDNaKoNi2njFDfRMFndlEdW0cAtrhLVa8/3r/iSV6QnURBq/WkGzbaHhqFawewdxlxcoHvwjqbG9O+pJICaquzLfmm2fdDbFRXe/M+VSBVmW+ObXvsfczAKHDkxwaP8R7vege/HUZz+ej37gM3zy/33g/3z8Ywl9H79cI4piJDTiWBK6KUlCtW2qUweRDRM9k0OSAoJigVqpQGps3236vscThSFezeObH/waK9NHM7qO/O4Qoxft4gHPfjB2KsH6wgYdgyJYLwwCiGMqMxNN4a1xEFCbn8HuGcDq7r/ZFfnbI6quEQYhmqHxP/9xZVMhs8nV3/41T3/rs/jtd37dlOEUBiHdYz0o8dbNMXdtBcXceTngXCeXP+ql09PbxcWX3BVJkkgmT5IorcW23D5/m1qcs8iKil8po5oWqdE9wla+uEHke+iZPFoiRWVWJBvr2bxwC67VCGtVQoS2JTk0RuA4GHYCRdOJ4xizrZPSkQNC0GknsXsHkTVVbB4pSt1TZI1E/zBBpVRfzVYw2tpRTJva4hx+cYPk8C689VWqc9Okdu3DXV3G21glDkPUZBqzvRNneZE4EttX5anDaLvOw9vYDMc8pjCJTjzhlWSlWffzf6StPUdbe46VpVXOO383d7noAjzPR9c1rv7VNbzuZe9geGyAjtuwSeGWqvilCn6lhlesoGeSqLaJZhuoaozd3U9p4mDdh+eYUVN3nwg+DXxC4pNSLFSKVa7/yXVNhcwmR35/iDs/6C7Y5yf47bd/zUNf+EixWitJhJ5D6NSQdQOzvbPhOhsFPu7GGonUVqO3OwJ22sZMmCiqwqHfHtrxfjP7p7n7Y+/J8tQSqfY0qq4iyRKPePGjkGsbHC9hj8PwBEX87QtZlkmlTq7bdYvtaRUzLc4qJFlGsxPEMYSBh5pIIdVza+R6IGeifwjZsCAKAYna4tFsI8W0xLptvq2xVSVJEigKydE9+IV1vMIGzvK80N7YCZE/FYbEYUh54iBqMoWWztZdjefFOnZdX7Gp34mjEG99FUlRsHsGQJYJqxUq0+PEYYjZ2UNtcQ6zvYsYSWyHZTubvChCzxHREN7Wq1dZ0+ubaLddcNrWkeeCu+zjS/95OV/4t6/juh6SJHHJAy7mje98Bb19t87jInA9/HKVw9/+Kc7q0dGd3Zlj5FH3RZJlJCkkObSLoFwkqFZEdlc6iyTJ1OZn6sLqJIn+4ducEu1VXa7/8bU73v7Hn13P4J2HWZ5ewqt5qJr4+Avqjs5mexfVhZmGD42s61jd/UB9pb4+kpJkCWQZKQZk+azY0jlVZDozVDYqJyw+JEniHo+9J8XlIjM3TnO3R19M+0AHanWVaJuICy2d3ZIw36LFbaVVzLQ461B0g8D3kJBAU9G0LO76GrHvilylZApnaQ41mSYoFRsftFoqjd0zuG0RoKgaqBrk2tEyOSSkhn9L4DqN5HKAoFwiKB81s1MtW8Q3AGKEJXCWF0nv3oe7tirWxCPhXmr19Ne1LvVYiXIRWdcxMnm8Y/Q6ztICiYFhypOHG+nnIDoyicFRpJvZRLulSJJE30APL33Fc/nTpz+GUrGMnbBoa8+Ry2dv9XGDisP4d3/WVMgAVJfWmfrhrxl59H3QbJ2gVkHL5FGSKaRYePE46yuNsU5QLVOePERyZPdt6tDEcdw06jieKIyQZRk7ZaPpmzYCwgla7eyhPNGc0B55HpWpcdK79uGsr6GnMkS+j18qIKsaejaPVymjWRaKaTUCRm/tc69WaqiaesKMrdONmbCIo5jhC0eYuG6rpQHA3nudR3m9RDKfYuamae75xEtIJDQKh7aaS8q6gZY8ua7PLVpAq5hpcZaiajpBHBOUi8JXprtPRB3UakIv0ykyU1Q7gdneCbIkzkM3c6WsahoNj/s6im5gdfZQndv64SupGiARBz6Sqh1d664LeAOnRuR7pEZ218dCUsOoLQactWUUwyI5vJsY0NNZ4iAUo6k4xi+XSO06j7BaIahV6htTSVDUk7rlA2AnbEbGtl+VvjUErkd1aft19tLMIpEX4Ic1ZE2jMnmIxMAIfq2Mapjo6TSk0kiqirOySFAuCRH3bShmZFXh/Pvdiau+/vNtb7/wwX9CFEXc7bH3hDggCmRkVUW1EyJJe9vug/CaMdq7qEyPN3XRnJVF7N5BojAirjmotnSzVgjbsbiwTBiEVCpVwiBE1VQSSfsWZXOdDqyUzcNf/Gg++5p/xT+u03KXh16E7/nohoZmadzriZegqAq+75Me2yfGs3XBu5Ftw+zoQrkdin9bnHlaxUyLsxZVN5DSWTEK8gPCsIakakSR2GBCUcTJQ5aFv46m3yqxrCRJaJk8ZhA0ndQU08LuGaAyMwGyTHJoVIRujuxBVhTcjTWq9YymyPewunoJajUkScLdWIUwJDmyG3dtRYzPEilkTcPo6ELPtzXWuhVNEyf4TE48n9Ng738yCL2tI4Sm24OAoLyBkc2JFHRFQTUtgmqFyPNQTBMpVjDyHUhIRK5DqKq3+mSnKDIXPuQirv/xdZTWmmMienb10runj/1X3cieu+9hbXYdI2mSzIltqqC2Vdy6SeDU0Dx3yzjQ6upF1jT8sugOSuSIDeP/VJAtzi9TqVTZWC/w/rf/EzdeLyJF7navu/DGt7+C3ftGT6vH006097fzwg+/lF9fcRXj1xzBTtvc80/vQ+dwF6omk0hZqMeMCbV6RpbdO3jUWkFRTnqB3qLFJi2fmRbnBMJVNkBCIiYmqFUhjtESyZN2pRd6rhh9NNLEI7ziBrKuoyXTOEvzOzoLq3YSu2+Q6vy0COPM5FCTKZFPpRtIJzkB+HQTuk7Dyl+SZRTDpLq8zh8+ffn2D5AkLnzBE4n8MloiCYrINSpPHIZjXI0lVSU5MEKMJMS4bg0tlb1Va9BxHFFcLuJWHf74sxv440+vR9EU7vqIu7PrHntxKw6aqXHtj67hF1/+X3I9eR7y/IczcN4gUWFxR9NELZlGNkzc1aMBnlZ3H6FT2/L7oCXT2P1Dt6igqdUcVpbWKBXLPOdJf4nvNW/RpdJJvvTtf902uflM4TsOlfWy6D7GIYocY+Wyp91Ys8Udh5bPTIvbDVHgE9VqxFGIXyoQx3F9XdqiNHGI5OAoqnXbc4VkVQMjxt1Yw9tYQ9aF5kVWVGqLc+ip9I7FjJFvJ4pjVDuFpCrIpnALVhIplHO5iAlDIqdGdW6KsCYCrxTTwu4bRLV0crsHWT84teVx7XcaQ7F11ChNeeoIqeHdlKaaCxkQK9DVhVkSfUOgKDhzU6iJW6epkCSZdEeaakHhLg+7iAsecGdkRQQq1ko1JFli8voJfvFlEZ64Pr/GV9/zRZ7ypj9j7KKRHYsZ47gIDElVkTWd2sLslvv65SJ+uYSSv/liJvBDgsDn3/7lC1sKGRCJy9++/Epe9FfPQT5LunWaaZLpNogCXwigFeWcLtJ3wqk5FDaKjB+eRpYl+gd7ae/M36LMphZnhrPjX0iLFjsQxzGh6+Kur1CePIy7toK3vkpl6gjVuWmSAyNUZiYInJroHhzXaIyCgNAVq7ehv/NYJPSED0xY32yxewewu/sAuZEHpZg2amLrmqWaSKLaSdzVJbRkEi2ZQbVsVMM8pwsZgNj3KB050ChkAEKnRunIAWRFZuABF9F+511iwweQFJnOi/bSd5+7IMtSQ9ws/myNkQAIa1WiMMBZnMPu7heLY7cy0FGSZBLZFLmuPO197RiWQRRESLLEf33kcr7z0Su2POaHn/k+G8tljP7dSE25YlJjhVxLH13P1tPZHYtaAHd1iWibjK/jCQKfAzce4Q/X/HHH+/zq57+jVj07IgA2kSThIyTr53a3cTs8z2N2eo4brz/IzNQ8mWyKWs3h0ie9jB9f+Yuz7mfR4iitzkyLs5rI94g8d9uTR1ApEdQqSJJMHEWUxg9g9ww01rnjOMZZmsddE74jsm6IjkIiiXxMxk7guhBHwvdEkohqFYJaFT2dRdZUjLYOwlqV4pGbSI3sIfI9vI1VQCQuy7pBaeoweiqDrOm3G4FjGAZitLJd2GUc46wuYrR1MvjAu9Jz8flEfoCkiHVs1dDqGU0hkqwQRdsXMsd8M7x6R8zuG0RW5NvsPRNHIaX1EmbC4uCvbmL+4NbYCID1hXVWZ5appiziKEmuO4dlKQ1nZ29mEj3fTiKVEfopSd4x9gI2fVRu/vnVqg4zU3O0teeZnV7Y9j4dXW2NzasWgjAMqZSrWJaJpp88DU6lXGV1ZQ3P9VFUFd+pceV3fszgcD+f+uI/8IV//wb3vv/dT9r3a3Fyaf0raXFGiKOQyA+IfBcQwYuyphPHEaHvI4FwwDUMvMKJroKXMdo6IRZeMZWZCZIju/GLBRFC2dmDlmvHW1kQnRenJvQwktw4KdUWZglqVWRNw2zvRLESKIaJs7KM0dGJXypi9/QLE7WVRRQrgdUzeDQ9O4pIDY6CqjWSw28PxGFIUK3seHtYrSC1S5QmbmpaLQcISoVGNyOOwqbi8XgkWWk691fnpsnsvu3ru27NQ0amtFwgmd/5eIqmEoUR+3/xR9bm1jjvPhcweP4ApiHhr6+K35G5aRQ7QWJgBGd5AT2VIaiUtz2elsrcbLp26Huoisz11+3nCU99FNf9fvvuzLOe92RUicaG3B0Zz/OZnpzlN1ddw+z0HJ7r8/inPJL+wR4y2f+bFrJSqbI4v8zczDypdArbNsUISYL//dFVHLjxEE94yqPIZNMoqkIcxezaM8InPvxv3PlPzue8O+0mkUzQ3pE/Ra+2xf+V288nb4tzhigM8AobVGenjl71SzKJvkGURBIJMcrwSwWM9i7iE3iHbDrtSsc45dYW57B7BnBWFpFkGT3bhtnVS+R71OZnGhlKsmFid/WKfJ7AJwx8KtMTGPl21FQWNZGAKMLI5gk9l8BxkE1LfD/i2/1mhiTLyKrGTj0IWdUIa9UthQxA6FQx24+uFnvFAnquTRgNqvWi0TDFFpCqNXfe4lgUUYrSMD68NdTKDrIqMXdwll332IOiKoTB1ud6/n0v4OCvb2JlZpmRu4zx4//3Qx7+wkfSPdKN2dGHsyg0QWG1ggSYHd0omo6ztkzsN4+TJEXBbO884UZaHEW4K8uYtTKPf9IjmJqY4U+f/mi+8aXvHD2OJPGK17+Ygf4ukVcW+CimfYcuaMYPTzI/u8jU+DS1msvd73UXrr/2RiaOTPLAh92XROKW6eaKhRJXfO37dPd28quf/5Zvfe37VCs1hscGecXrXswDHnJvLNvkTa96D+/8+9dTqzq85i/fxsGbhG7q4ksu4mGPfiCX3P8erK6s0dbeKmjOBlrFTIvTTug4VGcmmr4m6zqyplFbmMUvbgCILB9VRUtlCCqlrQdi8ypYxTkmIDJ0hBfNZmiku7osUrGP26SJXIfy9Dip4V2UKqXGSra7toLR1oGsKOJEXV/91tNijCRCB2//WT2KqmG2d22bMg5gdnRRPS7xW1JVsYJeL/o2HY7d1SXsviEUy0YxTGoLsw0djqRqWF296Ll2vHVhTrjpysxtqBdlRcarRthpG1mWecqb/oyvvueLTQVN10g359/vTnz1PV9k5E/GcMo1ymslJEVmbXqZnrHuJpdmd31VJJ2X50kOjuKurdYLsRgtnRXr2jfzuxEFYnwXRyHnnTfC7359Hal0ko9+9n3sv+Egqqpyz/vclc7OPAlDIahVUUxLuBBDw4bgjsLK8hq1ao2f/uiX/Pi/f8HM5Cxrqxt87Qvf4k/uficufeHTWF5YIXELPZQmjkwTRRGf+/RX+O2vrzv69cNTvPIlb+bvP/Z2du0dxTQNfvura1lfK/DIxz+EjX//Bu/9pzeTSCRYWV7l5z/5NWO7h6lWHAaGzp6NszsqrWKmxWklCkPh5XIcid4BylNHmq7y4zgiLJfQ0hkhqjxOwCspCnqujTgM8Y5Zm1V0o0mAqaUzorDZQfvhrq+iZ3KN7oCWzkAMQa1C5PtoEiiG1XAMviMhGwZWVy+144oWs7MbSTdFDEC+AySpnrUU4JcKRE6NUDdIDo1RnZshqBSpzk6SGt2zxfE4Dnyqs5MkBkfFtlrg32xBcEuQJAnV0NAsnR986js88iWP5c8/9BLGrzlMpVChe6Qbt+Zy+Qe+ShiE3OkBd+YH//pd8bplmeWpJeS1VbruOoa7PLd5UMz2TuJ8O5IkY3X11sNNRVF2ywSxcUNzo6/P89znPZ5C1eeGP9zE3vN2MbZ3mEzKJlqapbx01P9GMS0SA6OEbo3Y95BUrVFUR75PFPiNbT89mQZNQz2Hi+5qtcqRg1P84ie/5mGPeQD7LtjN4HA/HZ15VpbXefdb/oFrrr6ee9z7Ito68qRX18i3nbhL4jouX/38Fdz/IZc0FTLH8g/v/QQf+fR7edijH8Cvfv477vvAi2nvbOO9//QWDEPnZc9/PWsrRzffRncP8eFPvpvh0YHG14IgRFVvX+Los51WMdPi9BJFW8zHtFQGr7hBHIbIpoXd3S+yW2QZb3UZWdNIDo3hrK/gr6+JD+tMFiPfThzHlCcONh3PaOvAWVls/F0xTPzy9voGENk8RlZ8CFp9g2iJFHEQoNpi5FVbmif0XFLDu2434t5biqIbaPUIiKAqMnrURBIkCcIAoojK3BSJ3gGclZWmGAivsI6aTGP39RP7ARAT1GrbjqUA3JVFjHw7RBFBrYJxG4vHdFua1fk17JTNPR57bw78ej+jF+0i8AMmrjvC7793NU5FbKfc43H3ZHV2lWqxSs+uXpanlsh3Ztj4w3667ra3cUwj13abuyKSJItOSz3OQV5bIAfc/4JeiMFKmbhry00p3iA6jtXZCey+IbHtFQSE1BuKdV2NaieJJamh5wp975zt4kxPzPE/V/6MBz70EuamF/jlz66mWnW45yUXMTw6yL995Z94xuNewre/cSUPfvj9qJQdfH+Zru6OHY9ZLlWQkDi0/8iO95mbWSAIAizLJJlKkEwlCYMQyzR41Uvf2lTIAB0AZycAAHa2SURBVBw5OMm73/wh3va+11KrOXztC/+F5/n82XOeiGEaGLqGlbCJ4wjP88nls2ha69R7smm9oy1OK3EcN32Qg4gkcDfWSPSPIGkqzuI8oeugGCZmZw9RGCFFEZIsY/cPQizM1ZAknMXZY2zo61fNQdgICwTR1pc1jXAHk1dZ04jCgET/MHEcUTq0v3HlLGsaif4R3MJ6Q4tzRwvJU+veGqppAeL9jKIAZ32VoFQUwu0oaipkNgnKRcJqldrSPKpln3DJJ6jVsHoH8IsFtGRaZGndBiRZxkyY4rl5AU45Qa1U404PvJCxu+5m6voJPMeje6yXQ1cf4Kdf/DFm0uIBz3ow//3ZH/C4Fz2CUqVGVB9LaakM8kkoZmVNw+rppzzeXIRHnoesGyiGSVDefrQXVCvEYUh1YQarqxd/Y42wVkHWdIy2TiRVwy+u46+vgixj5NqJU2lAQjk+tf0sZmV5ja9+4Vs883lPZv8fD/K3f/MhXveWvwLgiq99H0WWedIzHsvnvvkJvvQfl5NI2kyOT9PZ1Y4kSXR2bZ8Eb9kme87bhawI7VHfQA92wmJmco5aTRS2iqKgKAo3XHcTj3r8gxndNcSNNxzCcVwWF7YmsoNYoXdq4jPnWc9/CvOzi7znLR9maXGFO91lH898/pNp78gzcWSaA/sP85BH3I/B4f47tAbqZHNGi5nh4WEmJyebvvbe976XN7zhDY2/X3fddbzsZS/jN7/5DR0dHVx22WW87nWvO91PtcVJIN4c6WTbmgSfcRSht3UQRwGV8aPmZEG1THniIHbvAGEoNmIkSQZJXN1GUYzdO0hcb7ErlkUURpQP72/6vn5hg8TAcEOLczxGrh1nbQUtmaFyXJcn8n1KEwdJ7zqP4qEbsTp74A5WzGwShiH4njCGq5RRdIPEwAiSLAsx9w646yvo6axIp7ZsdnJgkXWdyPfR01lQ1ZPi0ZPMJrGSFuX1MlbKrodNSiRTOsN/MoqiKFz3o2uoFio88DkPoWukm1989ac85iWPYuVX16Jnkiiagj4wjGqdPLdp1UqQHN5FdW663qmU0Ordxu1S1I/H7hvGL64ThwFaOic29Orr73omh6JpeBvrVOemUKwEdt8gYRwJN+pzoKApFcuM7R6mVq3xnjd/mDe/61V87rNfbdr6cl2PF77s2VQrVV7xor+hq7uDS1/0NHw/oKOzbdtCwU7YXHyfi1BVhf/6yecJwxBFUbAsk+uv289rX/Z2Hvzw+xJFEaZlsnvvKBsbRTzPo7BR3Pa5ptJJnvCURxJGEQf3H+YPv9/PeXfezX0fdE/+6e/+lZmpOf77e//LBz/+Dsb2jKBpKq/7q3fy7n94E7v2jJyy9/COxhnvzLzzne/kRS96UePvqdTRFcpiscjDH/5wHvrQh/KJT3yCP/zhD/z5n/852WyWF7/4xWfi6ba4DUSBj7u6RFhfca3OzxAHPn65SGJghOKhG7d9XHVhlvTYPooH6x9ksozV2YOsKPilAophUZmZIDW2D1lVj65M14mjkKBWxerppzY/y7EmIGZXL5KsYHX24Cxu70NCHOMVi+jtXVtM+e4oxHFE7DqUxg80xkQ+4CwvkBrdS7ydHmnzsVGEpOkEK4uYnd1wzAjwWMz2LkLXFWGbJ1HroagKmY6jpndCXByQQMKpelz8uHsReD7rc6sQRjzoKZew9strcNaK7HnKQ9AzaSSJkzpilFUV2bRIDAzX308JiHGWFjA7ThwwKckyoVtDz+TwS4WGAFnP5FAME3djFSOdRbFsjHw75SkRkKmYFqHvISvKbUr4Ph0oisJd73Eh62sb9PZ3sb5eaCpkhkcHePIzHsdLnvMaAl8UceOHJvnlz67mZa/6c9o78nT1bB03LS4sY9sWP77y51z7uxtYXlyhXKrykldcyp7zdvGdn32BWqVGuVzl5a99IZZtkm/Psbq8Rt9gz5bjXXT3O/Oiy57D5z7zVf7sMS/CTlg8+gkPJd+WZXZqjic89VF88yvfJfADPvqBT/O6t11Grerw7Bc8lY9+4NO88R0vp6un89S9kXcgzngxk0ql6O7u3va2z33uc3iex2c+8xl0XeeCCy7gmmuu4UMf+lCrmDlHiaOQsFYhMAwSA8MAyJpBHPhNBUgT9c2W5NCYGCkpwtCsOjOB2dENcSzWVutX8umxfdSW5vCLR9N6VTuJV1gjNbqbKAiIgwBZFx42XhBgtnUQuse7e0okh8fEGIXNAEgJ33WQJalpoykKQ+IoIA7jeudIQlbPnbb+zRF5HpWZiW31LrWlOfR0ltoxLsHHshk9oRgm7soSif5hKnNTTT/vTa2MszAjxK2d3adM6yHJMpIsjm1nxEndr9TwlIi5X/8Br1gm0d3Oec96FFZHDtU8+SLaMAiIw4A4jMR6exSh2gnsnn5C10FLZ7ftJGrpLEGtgmonqS0t4G8c3eKr1aoohonV3Ud5eoJE/xDO0jyJwVG8tWXMzh4kVWzoBfFmgvzZSS6fYXnJJ45iHvjQ+3D5l7/TdPufPfdJfOfyK3n7+16LnbQhjvH9gC//5+X884f/jYc95oFbjjkzNcehgxNoqsK+C3Zx8SUX4bo+URShqirTkzOM7hpC13V6epN4no+dsOjoaqe7t5OFuSXu96B78dP/+SUAyVSCF1/2HP76xW9meGyQP//LZ6KpKr/99bX89lfX8oKXPYsL73oB3/yKEJUfvOkIvufT1pGnWq3x219dS6VcpVgskU7fdl+lOzpnvJh53/vex7ve9S4GBwd55jOfyStf+UrUuvHYVVddxf3vf/+mPIxHPOIRvP/972d9fZ1cLrftMV3XxT1GM1Esbt8ebHF6kWSF1MgesepM/YpdkgkqJZS6HmPnB0vImk7kewSVMu7qcuPrxDGJ/iG84oYYUcQxRq4DI9uOrGvUFucpTxwCYuIgQMvkUEyTOAyFa69uiOMbBmH1qFNtes95xIGw4XfXVsQ4LJNDsRJEUURcqwr3YUUR8Zd1P5zIdYUY0zBBVm5VaOLZRhQGWwSpmwTlkvD12cZ3RdY0VDtBZXocu7tPFERRKMIlo0hsQckKfmlDhHQC3sYqRnvHaTWK0xIWHRfuITs2QBzFyJqCZp06sXccBgSl4pZ8Jy2VwWjrxOrqRZLlY8axEno2h57OUp4Wo9jUyG6CUqEpJmIzukPWtLrhoYQkS1hdvThry5jtXbhryyipNEQm0kka551sUukktWqNoD0k15bdkl21e+8w2VyaD/ztx1hZEu9ROpPiTe/6a+5137tz+MAEo7uGGvcvFcv8zw9+xn0fdE+mJmaJopjXX/YuDh0Q72Umm+Y1b/5LOjrb+MM1+9mzb5Tz7ryncS5SFIW+gR7e+M5X0Pnxdr719R/wuCc/gq9/8du84+9fz+L8Mt/71o/wPZ/7Pehe3O1ed6FULAvhsG1Rq9bF3opMuVShWCiRyaZxXY/lhdVWMXMSOKPFzMtf/nLuete7ks/n+cUvfsEb3/hG5ufn+dCHPgTAwsICIyPNM8Wurq7GbTsVM+9973t5xzvecWqffIv/E3Ec11erY/zCOl7dWVVNprE6ukFWkFSVONhqey+pKpIk4ZcKjRVhSVFFiz6OkXWDyswEkeeiJdPEQdDYcEoOjjZd4eqZHJKmN60Hp0b34BXWsDp76kUPmF09xGGEu7GKt7bSeLxf3EAxLZJDY4SuWzftM4gVhbBSpjo31SRItnr60bP5c99g72aykgKnRmp4D+7qIl5hAyTQ0zm0dJbq7ARx4CPV34OgWsErrGPk2qjOz2wpkuI4hlg4EEun0VFZkiT05G0PLL1FhOH2QZWlAmoiibNSxO4dxGzvEhqa+u9/eXq88ftVW5zHyLdvsTrwihvCm6lcRLWTBKUiyAp6OkMUhsK8sLCGt7yIrOsY+Y6GA/fZREdXO5VKlY6uNh7xuAfz8Q99BgBVU0kkk7zk2a8hOMYzqFgo8YaXv4t//9pHsW2TIAhZWxHbjzFw0cUX8tMf/ZI/ufud+YtLX0upeHTDsbBR5C2veR+f+M8PsO+C3fz5017OF/7rk00FEUD/YC8vf92LuPSFTyOKY66/Zj9f+Pevc+1vb2jc59CBcb77rR/y/o+8lVQmyecu/ziKohCEIbquoeoa5VKFvRfsYmpihoX5Zcb2DJ/S9/KOwEnvgb/hDW9AkqQT/tm/Xwg0X/WqV/HABz6QCy+8kJe+9KV88IMf5CMf+UhTV+XW8MY3vpFCodD4Mz09fTJeWovbQOjUCCplavMzOEvzRL5HHIb4hXWKh2+CKCQxOCo6LcciSST6R4glGTWVweoZIDEwQmJgBCSJoFqmePCPDSdaifiowd5xIx7RVbFxluYbhYyRF3N1b30VJBEsiCShp3MQR02FzLGvxV1bAc3AXV8lrFWR4vi4QgYgpjY/LTxXtinSziUkRT1hYSErKpHvEgUBdv8wyaFd6JmcKFQ23ZnjmNToXtK7z0fPd1CaOLRtt0dPZ8Xvwe100yMMQ5y17bdiAPxSEbOzmzgIcddXKU8daYSsHvv7FVRKJ0yLl2RFdD8VFb+4jqwbSBIUD+/HWVrALxdx11YoHroRv1Qg9G8+HPN0IkkSpmmSz2d51OMfTHev0Jbc/8H35htf+nZTIXMs//rR/8QwTS7/8nf45w//Ozf98TCe66GpKhdfcldkSdoxhuCjH/gUpmlQqzl86T8vx6ltDZbUNI1/+rt/FQVKEHDtb2+gu7eTv3rNC/jgP7+Dv//Y27n43hcxOT6Drmn87w9/yZXf+QmHbhrn2t/ewMEbj7D3/DFe8vJL+c4VP2RlaXWbZ9Li/8pJv+x59atfzfOe97wT3md0dHTbr9/znvckCAImJibYu3cv3d3dLC42iwU3/76TzgbAMIzb7FHR4uQRBT61hRn0bNv2WT9xRG1xDqOji/Su83DXV4ncGrJhYeTaiGKoTB4SIZF2grBWJahVRHfnGA2HGFVJDY8Zs72L0Pcx8h3ouTySouGXNkSxksmhZXLE9VTtOAgojx/EHhwlvft84Sq8g1AVhBOsnmtDlmVkVSWsVTBybeKEcwzJoTEkRcFbXSKOQU9n6mZnZ9dV8ImI44g4irB7BqhMj2+53ch3EPkeaiKJns0TVktU11aIwxDFtMQKcX1tuzI9TmJwBFlVRdfgOGdnSVEx27tEx+ssHH+cDKQ42rYDual3iTyPoFhEMS30bJ6gUtp+xCdJ26666+kcXnEdq7OHyuwUif5hwsVZiGKq0xPbdtkqs9OkdyfPuk29nj4huq9Uq3zy/32QL3/uCpKpBL/++e92fMzE4Wkmx6e5x73+hI31DXJtWV77srdz4/WiWzu6e4i3vOfVXP6V73LFV7/X9NiD+4+IrT3gmquvZ329QM9x48YgjMhk06yurPPjK3/O/R98b5749Efz6Y99jo9e92k0XeNhj34Ad7v4Qn74/f9laHSAz3/2a1z109+Qa8uy+7wx2tpzdHV3cN3v/sjTnvWEk/yu3TE56cVMR0cHHR07mxadiGuuuQZZlunsFBX4ve99b/7mb/4G3/fR6v/IrrzySvbu3bvjiKnF2cfmtoZf3lm75JcKmO1dFA/+EaO9C6t3kKBWBVmmfNP1AFTnZ0gOjuKsLG67vmr19FOePCz8Rdq70DI5ICZQVCLfR6k71CqmKcYYQYBi2ZQnxWgJWSZyqkiJFDHxiUcr9duiul4h9Dxko1n3kxzZjV8q4K4cdSd2lubQs3ms7r5zJhJh09ck0T9Ccng3ztIcQa2GrOuYHd2opoWzuoQkK3jrK00/59CpiQJmYISgUhGCaEnGr5Sw+waJoxC/VMIvrIliKJMnluXbbSEDomOiJVJN409Z17F6+qlMjzcV6JKiiM2/xgr3UfRMruFZ464Ih2whtDZQTIs4jrE6exqp8cA2Ivc6cUTkOnBz2rUzQG+/uHCdnZ7nWc9/Mr7vs7q8xu9+s72D78BQL9OTc/T0dfGYJz6cn//4Vzz12U/gu5f/kN/88vccOTjJi5/9ar5wxb/wPz/4WdO4qW+wh8MHJwDo7GrHNLfqpjRV4ZFPeAjf+NK3SWdTPOxRD+CVL3lLowjyPV/kbzkuXV2drCyt8Jb3vhrXcfFcj2QqQalYwXFc8vksu/a21rNPBmds1eKqq67iwx/+MNdeey1Hjhzhc5/7HK985St59rOf3ShUnvnMZ6LrOi94wQu44YYb+NKXvsQ//uM/8qpXvepMPe0Wt4I4joWY80SbPbLcKAy8tRWIYjTLJqxWSe++AKOrF9W0iJFIDu9CS2ePPrRumy/rJsmhUVJj+1DqrsKhUyOOAhTTonj4JvGBb5hie0ZRQJJIj+0js+dOZPZcgNXZK/QtUVwvhrZHS6UhFoLi0HNRjzMCVCwbYpoKmU28jTWC6s6OxGcdkozV1QdRhGyYmN19pHftIzEwgmrZFI/chLexhiTvXLDWFmaFPqO9E+KYsFqhePCPlA7tJ6yWSfQPo+c7kDQNRVHPWdfaW4Iky6ipNNIx69FmRzfVuekt22JxGFKdm8Ls6EIxzMZ6uDDJ6yCoVpBkhcTgKHb/CHbvIJKqis0lWcGvlETRdAu26uKb0UWdaRYXlvnON3+Iqmo87dlPQN7hNT3lmY9jYW4J3wsIgpD+oV7KxQovuuzZfPOH/8H9HnwvAj/g3z75Rd70rr9ueuwL//LZfPKf/gOAZz7/SeTymS3HTyRt0pkkd734LvzZc/+U//jUlxuFzCYX3eNCalUHO2lx0cUX8nfv+AhPe/QLedYT/4K/eO7rmJmeQ5Lgo5993wkdi1vccs5YMWMYBl/84hd5wAMewAUXXMC73/1uXvnKV/LJT36ycZ9MJsMPfvADxsfHudvd7sarX/1q3vrWt7bWss8RoigiqFUbq6daMr3jfY1ce31zQyIxMIxXq4jRhFh7wsjmsbr6CApr+OUiVm8/6T0XkN59PsmR3aiJFKphIMkqcRgQVssQxURBgJZIUZ46AmHY8KUJAw9FN5AVVZwkTLPJUEw1DFTLFkXJ8cgyZlcvtZVFMUIpFZB1E69w1OZ8c2tkJ9yVJcLjsqbOVqIwRFYUQrdGdfqIKNDqWUy1pXlR5OjGjttOAJHv1TebklSmDtezssSQxC8VKB65CQkJ1TDvEA7LiqaTGtndKMplVdvRLC/yPFQrgZ5rQ8+1kdp1nuj6FQt466viIiCO0BIJoihA0nSq8zOUJw7iF9brujMRgSCdwF9m29/1s4iunk6KG0X+6xs/YPzwFH//sbeTSicbt1u2xavf/Jdc9/s/8qdPfzRLC8t85uOf41c//x1je4b5yue+xate+lZe/toX8bF/fz83XLuf8+60GxDbSs9/6TOoVmocOTTJiy+7lNGxoZ2eCn39Pei6Sjqd4ve/+cOW26cmZ9FNg8HhPl7+gjfxsx//quFRNTezwBte/i7GD0+Rb29NGE4WUnwHcAErFotkMhkKhQLp9M4n1BYnjziKCF2H4qH9SKpCom+YoFwijiPc1eZuhWwYJAZG8Qvr6NmcMKhLZ4S5GTGVycOkRnZTmZlES6bRs3m8wrpIHg5DZMPE6uxBtZONMMgoEB4VyDKx7xE6NSRVbaxhS7KMcguMw0LXwV1fxVsXq9laKoPZ2YPv1FAVBbewgdnWgVcqohoG1fkZIs8VWVLLizt2YGTdIDW656wfNcVRROj7BKUNqnNCSC+pGkZ7J1oyTenITRBFSJqG1dEjRNDHIkno2Tb0bE749cQRYbWCu7o1e0jPtWP39AvjwzsAYsPPJ47E+n/p8E073jc5OCoK8jpme5dIJlcUnJUlgloFWdMw27vRkmn8crERc6BYCZzlBeIowurspjx5eMvxzY4ujPaus7oj5roev7/6DzhVh7e//u94y3teQ74ty+rKGlEUIysy3738Sl78iufx2pe9nYnDR38XJUni9W9/Ob+56ndEUcyjHv8QOrva6OzuYOLINL393awsrTJxZJqL7n5nsrk0HTtEImxSKVdZWV7l0ie9jCAIudd974aqqvz+6j+wvLjKlb/6Cr/62e9441//7baP33fBbj70iXfRv40ZX4uj3NLz9x3jU6PFaSf0fWrzMxBHxH6EszSH3TdE6NbQkmONYEk9m0PWDYJqBdkQ/3UWZ5GI8ctFzI5ukqP7iNwake+hZ3LUFuea9AaR6wgfk75BkIWVe5PDqaqecOvjRGzmQxm5NkDoHaIoRKvrbqyOLmG6ZQpDOLO9C1nTRKJ0MrVjMaMmUye8Sj5biAIfwoDa4lxDoIokI+sakesJnx0iYt9H1vWG7w8IQbbdO4C7vkZ1ZgJJFinnsm5gdnSJzsIx3Sy/XCCOerijfCxJktQQgge1atN7d9wdt4yJ/FIBK5E6qvdC+BtVZyfRc22YHd34pYLojC7O1UdRI8iGSWpsH87iHIFTQ9bquic7cVYXMgCGoXPBhXuZn1nEcVxe+ZI384rXv5j7PeheHDowjqWZvOiyS/nPf/0SE4en2HfBbp774qeTzqSIoohqpcalL3o6z3/qy3nZq/4cJJEBNbprCMM0+N2vr2PXnhFc171FZpeJpI1pGbznw2+mWCjxkx/+At/zeeUbX0quLYtu6DvqegD233Bwy3iqxa3njvGp0eL0E4VN+omgWhHRBZUympVAz7YReg61xXkhPAQUO4HZJsTfm14Z5YnDZM67kFphXYhD43jHjKXa4rxIdD7JYwpZluEYK3uZ5uMrQKioWH2DYioWx3gbosvkri43mZoBQoPS3rXjzP+sQpKIwwBJUeuC3ZigWkb2NdRECj3Xhlvf+nJWFkn0DVGZmURNJLF7++tJ2xFREEDsU1uYRU2m0NNZ9Gwev1xqvD+N7K07CIHriOIlFh1Es71ri2cMiG2xY7PMAIy2zobJ4PF466uYbZ2Ynd2i2Kz79UiqhqKqYIAyOCred0k+pzbrUqkkbrvH/R98b773rR/xj+//JP/4/k9y7/vdnSc89VFUKzW++60f8aCH35cn/dljeMcb/r5hqpfJpnnjO1/B8178dEqlMtlcBpAoFIrIJUVsOb36ffzth97IxJGpHde3j6WwUeS7V/ywaSvqyu/8hAsu3McHPvY2+gd7d3xsLp9BUe44v++nmtY72eLUcdyJKXAdiCIqMxOUxw9Qm51qFDIAaiLZvLodx0AsfFxkGeVmdBlx4BPv4D1xqlF0HUmSCD0x0nJXl6jOz5Aa3YOWOioiVBMp0mN7T0r68mkhBmSFRP8wURgSVEXApLuyRPHADWjJdOO1BOUSXnGD9O7z0VJpypNH6iaHEqnhXQ2X56BcQlJV3LUVIcSuY9S7Wrd3osDHK25QnjhE8cANFA/tx1leQM/ksHoGGuaCkqZh9w6g2vaWYkbWdtbYgOj0VKaOUJ2fQdY0SlNHKI8fbPz7kdW6VuwcKmQ2ae/I85KXP5dkKtH42lU/vZr//eFVaLqGJEm89BXP5ZUvfnOjkAFReLzh5e/iQY+4H6ZpcOMfDpDNpSkXqySSNpVylac+63F89XNXEAURxeLWFPjjOXJocst6N8AN1+3n8q98j3vf7+47Oiw/8/lPpqfvxDlcLW45rWKmxakhjtFzzVc2tYU5zPauLUUOiPGNkW1r6Gn0TB6/VADALayh59oIPOdm9RRnMgtJ0Q3RrrcSpMb2YnX2Cn+W3gEyey4gs+cCEoOjqHbitNn031YkVamPwyRh869qVGYmGiu+1YXphomhls5g5DuozIxTW5gl8lziIMDbWKU8eQS7p79hhBeUSyBJje0cNZVGS2/dHLk9ElQrlCcOHS3k6+aMldlJZFXF6uwlOTiK1dmLW9hAqOD/b0iKgt03jGoncNdXSQ2NYfUOUDxyE+EtSOU+2xnZNcj/u/zjPOEpjyTflqVvoJu954+RzaV57Vv+iq9+/ls7mup9+uOfI5NNU9woUiqW6e3vRpFlnJpD30APkxOzaLpKeDMXRoEf8KX/uHzH2797xX8zOT7DBz/xTnSjuWh8wEMv4QlPeeRZGSVxrtIaM7U4JUiqitneTVAuHb2CjEKc1SVSo3uozU83ujBqIonVM0B1YQYQWxWyrjeuIkWCsoQEogtwXCr2JmoyjaSc2V9pWVFuVx4psqwQxR5xHCErMpX5+aO36QaJvmHiICCoVlCsZD1IdGvgZBwJN1s9m2+4LUuKiLBIje1FMcyzPsn5ZBB6XkNIveW2um6mNj9DHB3jNdO+NVU5qNVEJ7OyjSarnmNWOrwfLZXGyHcKobwEdt8QQaV81gvPbw5ZlhndNcwb3/nXvGBxBd/z+ckPf0EYhdz7vnfjO5dfueNjD900zuLCMhfe7U5MT86SziQxDANVVQmjSEQYyBKpm8lLCqOQSmX7cFUAp+aysrTK6K4hvvydT3HgxsMUCyXudJfz6O7tJN+WvbUvv8U2tDozLU4JIuclJjmyu37VnkXPtWHk2pBUFXtghPTu80nvOR+7d1C47UYxdu8AZnsXlZkJQFxhKpaNXyqgZ9uIo5jk4NgWq3tZ08UmzB1gTHG6icMASRaePHFw1PLe7hskdKqUJw7iri4ROVWxCrwDfrGAlhAnCC2ZRrWTaMk0WiJ1mwqZKAyJfJ8oOgfElFF4wvFQWKsiH+deLtXDOjdRE0lxAdDZu23xnugfxlkWOia/VBQi6ygSgfO6jqRp54wtwM1hJyyGRweQJIkv/sc3OHTTBDExA8N9Oz5maKQfyzL56Ac+RW9/N67jUqs5LC2t8rtfXcfTn/NEuro6UNUTX5QYhsHjnvSIHW+/zwMv5vdXX4/n+Xz0A5/mg3/7cb78n5cTRRGec+53x842WsVMi1OCJEmopoUsKyiJJFbfIGZXL7IqNo1Uw0S1bFTTFhb2nT1YXT24G2vCMj+KUEyLxMAItflZ9EyO0uH9lKePIJsW6d3nY/cOYLR1khgcFWvOhnlGx0y3V0Sq9TryMSdOSdWQFZXa/NGwxLguZN0RWSKOI4x8e913KHWzP68oDAjDkDDwhYj4uNv8Shl3bZmgViUolwlqVfxalcCpbbn/WYEknzBzStb0JuO8Tf8ePd9OamwfqbF9da+eI1RmJ0kMDGN196GlsxhtnaR3n0/o1PCLR4tKr7AGkoS7soizvEj5yAFKh28S4utzoQC8BXR0tbP7vDEUWea3v7qOxz3p4TsK7J/3kmdw4w0HueqnV2MYOoqiUilXuOhuF3DJ/e9Ovi3bcB2+Oe56jwsZ3b3VjyadSfGIxz6Yn//kV+Tbc3R2tbG4sMyBelzCjTccZGp85ja95hbNtMZMLU4psqbdbMWs6Dqx64Cmk+gfFh/mUUhQq1JbnMfuG2jkJNmdPXgbqwTlIlo6i1zf0pAUtVXInCIkRSV0HMhIqIkUQaWErOtEYdB0MgzKJRL9Q2KMtA16tg3FtFGtRN0naBmruxfZMLesBUdhQBwExGGIu7FKHASoyRSqYQmBbBzXT/rCTbg2f/TEoGVyWN19wv25ngZ9tvxuyJomUqu3CTBFkkSWVe+A0NPEoNg21ZlJFMsWEQVB2Nh4isOA8sQhEWFgWmLE53kgSZidPfUMs2pdGO8Tei5aOoti2USeR+nIAdK7z7vVtgVnE5lsije94xXsv+EgX/n8Fbztfa/hbe9/LR9418cacQWWbXHZa15Avi3L+972j4AYV5mWwbW/v4H7P/heDA73Y1q3XJzf1dPBJ/7jA3zr6z9gfnaBKIowTZP7P+TevP8dH+FVb/oLfvSDn3KPe9+Vy7/yXUZ3DdHekeeH3/spS4srWLZFR1fbKXlP7mi0TPNanBWEnkd1eR67XQTLxWEIklDKuOsrxEGA0d5F5HlU5yZJDIxSmT6C2dmDlsygmOY5I6o9Fwldh8r0BHbvAKXJQ0hIJPqHKY0faLqf1dVL6Dpbt28METVRmRwndJs30pLDu5F1ndj3hd5DVQlch8hxqC3ObjlOoneQWJKIfY8o8HEW58XqsaIiKwpGvgNJU8VobFNf1fBqkRrhoGeK0HMpb0kMFy69kmHgFzYazr16No+WShMFAc7iHHb/MN7ayrbu0snh3fiVEkGpgKRqmG0doCjEfoAkS3jFDfRMvrGRtpk6b3X1bXk/4vrK+NlSBN5S/vgHYTx49S+v4a4X34W11XU81yOOY3JtOdKZJNf85g/87Zv/gfs84GLe9K6/Rtc1brjuJh78iPvdqu85P7vI5PgMl3/5OwRBwMMf80AsyySRtDFMg/XVAjdef4C73fMuLC2uIEkSA8O96LqGoiiMnMBpuMUtP3+3ipkWZwVxHBNUKwS1KmoiiaQo9dVsSegMAh93bQXFMFETSWpz00iqJq7sNeOcXDE9l4h8cUIIXQdZ0wgqFVQ7QfHw/i1ibKurD9kw8AvrddfkNGoqQ+nQ/i2eO3quDdWyqS7MNo4jKSrJkV2UDu3f9rkYbR0odhJvbRnFTmJkxQk68n1UO0EcBo2cI8VKkOgbxCsWkBQZ1UrgV0poiaQQHZ8Bo7ioLpKOPE/YDqiqWFtXFCqTR5p0SVA3buzqpTJ1pBE8GYehCFz1fVTLxuzswVmexy8Wmh5rtncRA3omSxzFlCcONoz5ZE0nMTCMrOoifBVRaEWug7u2QlzfSFTNRL0QFNtsZ/NFw9LiCh9418d46KPuT3dvF5lsmmqlShAEgMS3v3kln//M10ilk3zmS/9IMp1gZXGNrt4Ounu2Cq1vjtWVNd7z5g9z5Xd/0vT1u97jQl7zlpfx5f/3DV502aXMTM4TBgHX/O4Gbrz+AJ1dHTz80Q+gf6iXgaGd9T0tWsVME61i5twgjiPxAe+5yJpGHEbiiltWgJg4DPCKBSKnhpbJCY2Mopz1zqXnOqHrEDo1wiBA1Q0kVcUvFYhiUHWNyvTElsckhnYRVstEgY+kqKiJBJXJI033kWSFxMDwFnt9NZFEtRMNEesWJJlE/xDu6jJGe6fQWB3zMaYYJlbPgDhuHCEpKqmR3VTnZ9DTWdyNNcJaBcW0SA6Niceext+jMAioLczgF9ZRDJMoDEVOmG5sifrYxO4ZwF1bbqzEy7qBkWtDy2SJY6jOTRFut9mE6Ng4y/PouTaqM5NNt6l2AntgFNUwCD2PyN/846PoOrJuEPk+oVNFUjVU00LSdBHGegYpbJQoForIsoKdMMnls43blhZXuOHa/fzPf/+c9vY8T3z6o5mbnuezn/giG+sbXHzJ3XjS0x+Nqqn88Hv/y8Mf86BbrJE5nv/90VX81fPfsO1tr3zjS3joox5AqVhhdWWNN7z8XU0J3ZIk8Zb3vJqHPOr+5HJ3DFuCW0MrzqDFOYckyU3JwFvQdFTTJooiJEk6q68QzwWiMGx0SiRZ2Xb0EroO5elxzPZOCHwqywvEYYiWTGO0dxCHEamxvTjLi0Sug2xamO1d+KVCQ9thdHTXF+ub0bM53O30NZJ84gTnWPz8zY4uylPNhczmc3bXVzByedFhCAOCShmzo5Pq7BRmZy/VuSpKIlnX/EjE9W6EYlqoVuKUdvokWRK6obWVhj2BkWvD3U5HU8crbaAmUo1iJvJcnJVFtExOBKvuUMgAhG6NyPebBNybBNUKRAFBTXR6gkoJxbSFe7CsCD+cY7evZJnU0C6QuEXZZiebKIoYPzSFrMoYuk61UqNcKlMslOnozGMnbNrac+y9YBeKqrA4v8T6yjoDw32864Ovp1ys4Dge373ih/QP9fKnT38M5VKF6clZwjBClmXshHWL3H9rNYcv/NvXd7z9u1f8iK6eTvLtOf75Hz7bVMiA6Ea/923/yN3ueZdWMXMSaBUzLc45zokYgLOcwHNEqrjvQRwjazpR6COruigkoogojvFWFutmhstNniZeYQ2vuEFqeBfuxjpmRw+RW8OvVsQIZOmoH41i2XWBttIkGFZMi2B1q/YjrFXFyX2b20C4KAdu3UAx3r7o8QsbJIdGGwVC4FQxLFuc1FWV9Ng+nJVFiof2i9evG1idPfjFDWpz06RG9zZCS082sqyIUaqqEm9uXMWccMtJxDw0F21mexe1xTnURJLkyG7K44e23Oco8fa5T0AcxZTGb4I4xuodQLNFEnXgVIn85pEXUUR56jDpXefBGShm5mYW0AyNUqHMV77xTb7x5e9QKVe57wMv5rkveQaDQ30szC/xsue9nnLpqJv4nf/kPF7/9pfT0dmGnbB56rOfgCTBDdfdhOd6/O431/H1L36bYqHE8NggL3/tCzn/znvp6unY0dguDEKcmrPtbQBOzaFSrtLd28n1124/MvU9n8MHxhkZG7xtb0yL1mp2ixZ3JOI4JnAdwmqV4qEbKY8fFLb6h27EL2wQBT7V2UnKU4fx15cx8sIXaFtztjjCWVlEAkqH94MsY+TajiZnyzJWV199NCGs+Y9FktVtYx3iMCCOIhQrseU26h0Zv1Q4Wghs/0qbTt6bvkeSoiDrBpXpcSFSrt8n8lwqMxNoyTTIEtX5aaJTGAIoqyqpkT0N/xi/tIGR3bkboGePOmIjy5gd3SDL+IV1anPTuKtL2H3bC0kVwxL5TLqBYieEHm0TSUZWFJIDo2Ktu1KmdPgmSkcOEFYqpHefh57JNR0vDsMz4iIchiELc0uUCmU+9bH/5P995qsoisKHPvFOLrzrnfjg336cwwcn+Mvnvq6pkAEIgoCN9QLzc4vUqiLxfnZ6nmt/dwNf/fy3+Ld/+SLFgogvmDg8xate+lau+ulvmJ9bagqDDPyAarVGFEUkUwke9fiH7Ph8H/iw+3DVT69GvRmxuefePjx/zjStzkyLFmeAMAxF98P3kKiPeQzjlI7O4jgmdGpEgU9l6sjxN1JbmEUxTIyOLvB9It/ffgx0DH6pQGJwVGRRzU2THtsr0svrJwB3Yw13fYXk0BiyaZEc2Y1fLBB5IpnYaOvYNji0Oj9Netd5eBtruGvLYrSVSGF2dFNbmies1VA6dtY5yJp2tBiRJLREirBWExtxgd8Y1xyPszSPme+gOj8jhLinyM1ZVjWQFayuPtEJk0TB5RU3tjgoa8k0imWTHN4jIiLiCG9jFX/5qNjXLxZEgVOPCjHbO1ATKfH7JCskR/cSVkpi86+9kziMqM5Pi5FgpYxq2ZQO72/yuHFXl/BLBZJDY6JL4x4tYE5cSJ4aqtUa3b2dzE7P88Pv/RSAt773NXz8Q5/l0IFx2jvzzM8uUik3v3+P+dOHcfEld+Vdb/ogi/Oi23fhRefzite/mLtffBf++R8+u+33+/iHPkv/UC+yBFEUEwQBYRhRLVdZXFjmT+52Z+7/kHvT/8kvMTM11/TYfHuORz3+ITzjcS/h0hc+lb6BHman57d8D0mSOP/Oe0/G23OHp1XMtGhxGglcV0TtBIG4upWFTqg8P4Pd0S08V07R2nDk+9SWF044pnOWF7H7BilO3YRsGNjdA/iVEwTuSXKjuxEHPqHrio2Z4yhPHsbq6kVSFMz2TuJICHODahm7f4ja/OxR/Y5aT+j2fRTTJjE4JiIiZFnoX6pliGMiz0W1k+Lvx2F29OCuLTdExpKqoVgSmq7vOL4C6ttadb3MKd6NkGWZSNMpH7qROArFcx0cEUL3DWF0p6dzxFFE8eAfSe/aR3ny0I7HCyplrK5eFMtuGORtomVyGNk81fkjEMcolk16dC8Q4xY2CJxqUyGzSeS5BJUSVmdPk9B7c/vpdKLrGjExM1OiKDj/znuZGp/h0IFxQBjVrS43WwK0d+Z5yCPux6te+tamr1/3+z/yqpe+lU/859/v+P2Wl1ZJp1MEfojrevi+j6IoVCpVdu8bY2FukYWFZT7xnx/ga1/4Fld87ftEYciDHn5fnv6cJ2InbGRZ4u/e+THe8I6X84oX/g3RcVqwZ/35k2m7BfqcFjdPq5hp0eI0ETQyqiKxPWNaRL6Pt7ZMoruP8vQ4yYEROGXFjIssK4TeznP+0Hcb2o3IdSlPHSY1sgd3ZfvNIj2ba+6s7KBhkWQZWdepTE9gdnQj6zrO3BRGWyd+qYjdO1B3vw2AWIhPpw43nWAlRSU5uof0rvNwlhdw1paxewfxCxuigxRHQvvS3YekqlidPSiGibOxjjt1pB5+2n5ikzhZJkZoaE5VV+ZYFMMgObKL6uyU8J2JY2pLi2iJBHEcU12YPbqqfTO1lSQrqOkM3tpqIzokCkPctZVGzISR78BdXSKsVXFWl1DtJEaujfL41gJ0E79YwOzqafxdS6br4aOnF8MwUBWFXF6IZe95n7vyP1f+rHH7wtwSo7uHmx7zxKc+mv/36a9ue7zCRpFrrr6e8+60mxuv3/r6JUlCURTe/ZZ/4OpfXUs6k+LxT34E93/wvTm4/zAfft+/8NgnPRzLNHjSnz2Wpz3niURhiJ2w0HSNj33gM7zxnX/Nu9/8D/zX17/PP//H3/Efn/oKf7xuP53dHbzwL5/FxZfclVQ6efLepDswrWKmRYtTTBgE4ir/mD9BtYxq2iiaRmwncFeXSQ6O4W+sImv6KQmrjIOAyHNRDEukVm+DaliAhNXTj18sEFRK+KUCZkfXllVpWTfQs3nKE6JbIKnqli0k1U4IN1qnhlfYwO4dEI7NskxQrRA6kyT6hghdF1k3KE8exu4bwlma2dIpiMOA6tQR7L5BlEQSxbQJyiViEN0XWUbWdCrT48iajtXTR2n8oBA51/HWV9AzuxHtsa3VgZFtw9tYx+4dOC2r2pIkEQUhejaPmkxDGBK5NdzjjAUB4dmTzmzxktlETaSQ4pjId3GW54XpnaZhdXQTJVM4ywskh3cRVMsY+XZkRUU2LdGAOmEMhdz4r5lvx2jrOmN2COlMmt7+btHNiGky9atWaqyvbXDenfZw4/XCzHF4dIDPffZrOx7vd7+5jl17R7ctZu59/3sgyTJ/dumfcskDLuZzn/kqn/3EF/j91X/gr179Anr7e/j4hz5L30AP//Sp95BMWrQdM/q89EVP4+tf/C8+8pn3cu3vbuBnP/4VL7nsUrL5DMlU4hZtTLW45bQEwC1anAKCICBwHLxigaC4QVzXxsSyQkyMaidx11cJfR9ZN9GSKRHh4LonXku+Dci6iV8uoqczO27OmB1dVKYO464uo9oJkkNjuGvL6Nk2UqN70HNtaOkMds8Adndfk8dLom8IZ+WoT4piWpgd3ZQnjxB5Lloiibu2QnV2EmdlkeTwLlQ7QXnqCF5xHUmWUawEsqo2FSDHEroOkqxQm52itjCDs7yAt7ZMZeoI5YlDeMUNJFkhCgOCSmXb47griyQGhre8B6qdQM9kMds6UROn72pZNU2c5QXCSvmEWUm1xXmsrj4R53Acdu8gke8JYfP66tHRXxgSug56OktyeBeypmF2dBEHIUgSkesQhwHWMSdhSVXR0lm0VEYUMG0dSIpGcngXsaSAfOYsERJJm2w+w99/7G1c89vrechxrr3/+P5PctlrX8ijn/gwVFVhfW2Dru72HY83MNTHM577JDS9+T3t6eviDW+7jN9ffR3raxtc8ZXv8Zb3vJqx3cNcc/X1rK8VeMFfPAOA2el5fvbjX7KytI7nHd3+6hvo4dIXPZ3+wV4e/fiH8pwXPo1de4cZHh1oFTKngJZpXosWJ5kgCIidGuXJQ03dBTWZJtE3SIQEcQhhJM6nkkwcBEiKQlCropgW2ik4mUaBX/dliTDbu8TGjidO9pKiYnX3EVRKTVEEm+6zim4Qui5BrSKcc3Udd2WJ0HOFaDjfIfxMPJfIc9Fz7Si6QWn8IKqdQEumqM4fH6wnkRgcxlleQk2lUK0kUhwRw1aB8jEkh3c1ukHHI+s6Zlsnoe8Tuc7RDaBjv6uiYHb1oSWTBOUyURigJUVydxSGyLp+Wj1U4jgmrFWpzk1h9w1ROnzT1qJGktHz7Zj5NpBkwloNr7iOrKoYuXb8clFor44xIJQ1nUS/KDA33wctlcHq7qU6N0NQ10LJuoHdO4BfETEHkiThl4vie2ayIofLdZE0ncrUEVIju3f2gjpNLC6sUK1UcB2Pt7/+7xsxBgCGofOXr/5zHvDgS0CC6353A2997fu3HEOWZT5/xb/w4fd9gmf9+VM4eOMRlpZW2HveLsb2DAMiAuGn//NLfvyDn7H/hkO8+0Nv4rIXvJE/e+6f8qznP4XHPfBZAOw5b4x3/N3ryWSS9LccfU8qLdO8Fi3OFIFPaeLgFpv/oFzEWVkSV8bIxIqEXy6jJmxxtSvLqIkk7tryKSlmZFUj0TdIbWme6uKc0K6omhgPxTHOwmzDxG2T0HXEiVWS8Eob6Mk0fqkgOjyZPHo2j6QIfQtAetd5okCKI+JImPIZ+XbK2xYnMbX5WZJDY9RWFkEP8EoFzM7mLSU1kcLIt4vNHEmqbwLJW95fEKMYSTeIqlWkbUzi9FybcAFeW8ZdXhDHzrXhlYqNr9s9A1sedyqRJAnVTpAYGCGKI+z+oaZiTrWTIlF+fZXS+EGRMt/WIbaXkCge2Y+saRjZ5g6E3TtAeWZCZF7VMfLtlMYPNm0jRfWsqNTYPpylefxyCUlRhBB5fUUEhFoWUuBj9w0Jx+JT/q6cmK7udjbWNWpVh/d/5C1cc/X1fONL3yGOYx78yPvR1d3B3MwCn//s13nj376Cpz7r8Xzlc1c0Hm8YOu/+8N+gaip/+arn86X//CYH/niYbD7D/3z/Z6ytbfChf34nuq6TSSd52rOfyGv+8m0cOjDO7n2jJJI2URyTSicpFcuoqsriwhLVSpXegZ6WF9YZoFXMtGhxkglr1W1PtIBwpm3rAFlBinwUVUGSZGIJkGW8jXX0dG7bx54MojAURUhKiCjjKCJ2PWpLc81Or8fgbawTOrV6d8bBaO8UKc5WAkmWcRbn0HPtWB2dRJ6PszRH6DjCV2bTzffYuAHTQrFs4jDELxWJAh9/Yw0jmxdjIt3AyHcQ1CoY7V1IkkR1dqqx7aSlMiSHxqhMjW/JetJSGRTTQk9HyJqGt3F0tVxNpFCtRFP3wttYxdtYxe4ZIAp89FTmlOiVbgmKYaIAkaqT3n0+zsoSceBhdnRTGj+aqRQHIntKS6Uxu3ohioSPzDHCccUwCT23qZBRTEsUpzusVTury1g9/Ri+R+SKSJHQc6ktzpFIpanOTYs1bddBs7fxADrNZHMZsrkM87ML+H7ABXfZB8AVX/ke3X2ddHV3gBRj6BrPfsFTeeyTHs7s9DyJpE1vXzfTk7N85O/+FcM0eNyTH87jn/xI/uLS1zY2joqFEn4QcP6d97KxUQTg0IFx+gZ6eNDD7svy4govvuw5fPDd/8xj//RhzE4vMLprEM/zMc1TY7jYYmdaxUyLFieZnYoCcaM4sQv9jCxM4yRJCGJrDn5hHSN36ubpsqLgVcoohoGztEDo1LC6+7bV0EiqipZIIZs2eipDefoIVmcP7toqkqrizk6SGt1LYnhMuAl7rkjRrp90j994kTUdu3eA0HUIKmUkVSU5ONLooLiry9g9/bhrKyT6h5HLBn5xA0XXSQyM4K4s4peL+KUCoedi9/RTmZk4+nxlRQQrhiGqnSQKfMwOEcAIIqDy+GyiTaqLs6SGdiGfgZXj45FVFVlVSfQNEnou1dmpLWvisqaLYlISBnru2opwRK53rBTL3mJ0qBgmwXEeNiB+TnZPP4phUBo/0FQAqXaS5OAo7sYaWiqNs7yA2d17al74raSnr5t73ueuaLrGJz78b8xOz/Mnd78Ta6vrqKrC9dfeyHl32svS4gr7zt/FyvIab/rrd3PwpqPdrx98+3947JMezlve82re8Qaxri3JEpVSWazQh+L97xvoYWikn6WFZeI4ZmCoj7vd8y7c8z5348Pv+xeGRwbQ9TObW3VHpVXMtGhxklFOcNUqaVqjcIijGFmWiQHfcYidGqnhsVOa5KwYJloyEmnLyRRGvk2kKmfzOIt14y9Jwu4ZQFJkYXDnVAl1neTgiOgIpHMQhajJFLKqIskyYeBQW15oOun6pQJ6Nic2ThSFRP8Q5emJplRob30Vq6sXI98uTsi6IXQjRw40dCM+wMoSif5h4igkqFaIXAdJVUUQYuCjp7OYHT2Evkdl6jB2zwBqKo2WzaFns3jra2J0spPANoqI4xj5DAcobhKFIXHgi/fuuHV3s7MHRTdwVpdxV5dRTItE/xBBrUpqaIzSpFhplzVduDLnO8TYsl40E0UNDY2kqiQHhonCkNLE4S2J3UG1jLu+imoniFyHoFpBls/0kGkrYRBy+Ze/zV+88vmkUgm6ezu55rfX8y//+O887DEPYnlxhfPvtJf52QV+/pNfNxUym/zX13/AY574MNKZFJ7rYVkW+fYstarD9//rR2i6xiMf+2B++bOr8Vyf73zzv7n/g+/NpS98Gh/5wKd4xvOeRP9gb2vEdIZoFTMtWpxkFN1ANowmx9RNrM4ekBXiOBJp4KqCFEYYdgIpkz094ZmKgixJhOu1RoZScnAUxbIJa1Xs3kG8wjpBudh4iFdYR00KB15J1fDWVrA6uhursXEYbVn33rTYj6OIZP8wbmEDWVEIw6Cp6KktzpEc3i2CHnWD6szE1qIjjqnOTmH3DxHU9SRhrSo2bMIAkHDXlhqGeM7KIkk7gaJphJ6Pmkrd7NsiKcpZEV4ahaFIrnYdvFIRNZHC7OzFXV8Rzy+OqcxMICkqeiaHpCi462tCixVFpEb2EDp1IXk6i7u6RLnuEyTJCka72NaqLcxidnRTXZjD7OjcUshs4hfWhWB8fRXFMM6Ix8zNkcmlybfnefOr3gPA4HAfH/j4O9A0jVqlxoff90ne/7G3EgQB3/vWj3Y8zre+9n3udd+7c9E97szM5Cy7943gOi7f+9aP+NAn3snPf/IrRnYN8c2vfI/fXPV7Hvqo+/P+d3yEuZkFZqfm+fC//u3pesktjqNVzLRocZKRdYPU8C6qs9NiK4T6Bk1nD2oyTSxJaPox44zTfKErKyqV2XGMfDtaMoO7ukRlYZbk4CiR64ruxzGFzCZBuUScbUPWTeFToh/VBUiyLITEx2lYqrOTJEf3IasKiuugaHkxAqlWmsIog2oZxbKRdX3HqIFGgVM/ocu6QW1xThSPqtbk7BvVhcuyKkIuQ1ciDoPmcMdjkBRVCIvPIFEYCC+gIKh3oMr1NesIlhewewdRTJPSkYOiO2OYeBtrRDUfLZGGOMZZWUSW5brIXKI2P9n0fsaRCAG1unpREykUwyTyPeIgEhlMkoRfLm1b2IRODbtv6Ixpik5ELp/lsle/gD/8/o8szC0xNTHLVz73TT72b+/nXz7yHzz12Y9nYX6JZDJxwiwkx3F58WXPYW11Q4yMTI2ZqXne909v4cbrD3D9tfv5p7//FL7no+kavX3dzM2IdPiDNx1hdXmdgdY20xmhVcy0aHGSkSQJxbDqXYlQdCFkGUlRUc6CMYasKMJQ7sgBZFVc3avJtCgA4rhJNHs87toKtmUL47tjuhiSqtUzjaab7m/k2wmdCuW55q/rmRx236DQg4B4j+pFCojiz8i1i5FdHOMVN/ALG0JzVN9qUiwbXZLwNlZxlheajq8YZsMTT5IkFE0nlCQS/SP1te5mDUpiYBhZPzNGcACh71GdnWpyUxZC51HKk0cgjqjOz5AcGsVoaycOQ+Hxs/n4WhVnbYnk4JjwmilskBzZteP3c1aWSI7shjDA6uxG1jWoiDVxu7tPuA/PTTV+d6PAx+4fPiMxBreU4bFB/vXz/8DVv7yGn/34lyBJxDG89i0vo1KuEoYhiXyC+z7wXnzr69/f9hiPe9LDyeWz9A32cGD/Yd7wV+/iXR94A+95y4eb8pcUReFv/vaVfOHfv970+MmJGf7k7nc6pa+zxfa0ipkWLU4RinH2bjSopkVqdC9BuUDg1JBch9qi6M6cyLRvc01bdGCOnvxlRUHLZNHqAl0AJBktnd3WE8YrrKPaSbF14zrCpC2dRZIlMc5q78ZZWcRZWRS6j2ye5PAuoftAIjE4ApIkBMDbPF+jvQtJ04gCX6yfKwqqohCpKuk959ct/WvIpoXZ3omi6WdsxBQFAdXZyS3Ovn6pAHFMcmgUv1Q8xismu23+FVGEszyPkW/HWV6gOjspxkibBeMxxPVRn6Tp+Mf40IAYK6mJJIn+IRE/0d6FYlrIqnZWdmWOZWikn6GRfh79hIeiGxpK/flWK1UOHRjn2t/ewPP/4hn874+uorDR3H0870672Xv+LlRVJZ1OsXffLl75ppfygXd/nL96zQuoVR3233CQvoEe9pw3xuc/+zV+8b+/aTpGX//O4actTi0t07wWdzg22/ggvFekO6hgLwoCglpVaC5Wl/HWV0gMjhK6zlEx8CZ18ajR1omk62hWYtuMo9B1xap1uYBiWPjlIt7ayrbfXzEt9GxeBCR29xEjjP0URaV4eP/WDR7DFKMw30M2TNzCBnoiSWV6XGxExRGh62J1dqMmU6KpoChIioKiNxeWcV3wK22KYs8goeNQOHD9lq9LmobZ3oWWSDWKMlQVf32V2vE/n2NIDo011s+P/f/mg0ukd51H6LlUtrsdsHr663eVUQxDOAKf45RKZQIvYGOjyOc+8xV++P2fYZoGT33m43nMkx4m1rmPIYoi5qYXmBifprunk0wuzXcu/28++O6Pbzl2R2cbn7/iE3T1dJ6ul3OHoGWa1+IORRSGxHFUv0qXkDWtnnsTgCR0InEU1U3gIiRFASRCzxU2+vrZ20U5VciqipZIEAVhY4OqMnWE9J4L8NZWiHxPOAB39ohuTBSiWmJTK/I9AllGPc4JNnRqSJqGrJkoVkJoPnYg8n1UO4Gsag0n4bBaxatVtk2sjlxHhDGqat1YMEUcRSQGRvDLRSRZRkumhbdN6BM6NeREEndjDTPX1rQlJskyZ17qK4jCrRoe2TCxewaoLcxQqzsnS7KC1TMgijPLFq8V8MtF4W30f0DPtRH6HkG1gt03VHf9LeEV1hrvvbexhtUzQPnITVjdfbeLYiaVEmaUubYsr33rZbz4suciyxL59ty2W0iyLNM/1EulWuWFz/hrisUyf/eRt3Lv+92dq356deN+PX1dfPzf3t8qZM4gZ6yY+fGPf8yDHvSgbW/79a9/zT3ucQ8mJiYYGRnZcvtVV13Fve51r1P9FFucxUS+L04CkiyCGysl4ihC1nWRvrxZ2MQxcRwTBAGyadazfWS89VWiQJxMtXSW0PNQzqBm4kwhyQqKrqBnczhL4mq/NH6Q1PAuvFIB1bSozEw0iWa1dBaru4/IcwlkBYm4PqKRCJwaShyjWBZEAVrdMXg7VDuBXynjLM6R3nU+cRCgpzMUl+e3vT/Q0JR4hXVUw8IrrjeNZ2qA2dUrugmmSWVmQhQ71QpG5uz8+W7XGdrMvTpWUB1HIbWFGVJje4mjCK+wAQj9kdzRTXVmEsW0RLdN1VATSWTdQFKahdlqIo3Z1inGiVFEbWEW4hgtnSE1vIvK3DSR60AUNUZvZzq+4FRgGDqdJ8htOpa2thwf+Od3MH5oihuuu4mX/vXzeNWb/oLDBydIphKMjA0wMNR/ip9xixNxxoqZSy65hPn55g+tt7zlLfzwhz/k7ne/e9PX//u//5sLLrig8fe2trbT8hxbnJ2EnkschkLCGQZAhGwYeHU/DOIYZ3EOWdVEkrCmIdf1K7KuEVQqKLaN5Lk4Sws4K4ukRvcRODWIQpAVZE1D3sYO//aKrKrY/cNUZyaJfY/iwT+S3n3+tjlBfnEDxU6gmDaEAWEYIisKse8TuTXCagktlUVNJFEse8vJVCBhtHVSnjqMls6AIiOpMoQhkqzsqNuRFIXI91EsW4yztkmQduqr3s7KoiimihsoiZTIXToLNR9REKAmUkezkgyDyPO2ec8g0TdIZeqI6FDVqdUqKKaF3T9UjyEIsbt7G1laqbG9oqgPQyRFBkkh8lyqc1NNBo/exhp+qUBycJTSxCG0TI4YSRS824wU70i0d7bhOC4//8mvueG6m/jh9/6Xmal5HvWEh/DSVzy3tcF0FnDGPq11Xae7+6hYyvd9vvnNb3LZZZdtEeK1tbU13bfFHZs4jMTIyKmKUERJRs/khJ5DliEKMfIdxGFA5Lv4xXWMTA5J1QgdR3Rl6iOO5NheYcm/tEDkuxg5kQEU+x6xYd5hxk+yqqGlM2T2XYBfKR8zkmsuZLRkGqO9k9CpEdYqSJJYRffWVpo2ivxSEVnTSAyNkRwcpba80Fj3VkwLq6sXd2UJI5sXG0+uA3GEu7KMkWvbsp3U+P6pDOWpcfH49e21OABeYQ1JllEtm9ryAnZ9JMVZWMyETrUhtg2q5XpsRG3L/ayuXqIgaCpkjh6jJozyDJPqzCSR72F1iRNsZWaCyPdQzQRmZzeSKjUCQY8nDkPcjXX0bBt6Jk/gVEmN7TmlRo7nCv2DvTzj0j+lWCxTKpZJphKk0km6W6Ols4Kz5tLziiuuYHV1lec///lbbnv84x+P4zjs2bOH173udTz+8Y8/4bFc18U9xrCsWNzqmdHi3CT0PCRZojw1TuS6qHYSI5dHkmVxJRvJRL6LpKi4aysQx+i5NoJKhch3G4nQVk8/qmUTOTVkTcfs7CHyPWoLs4TVMkgSejaPVffzuD0TBQGR7+EVN4h9DzWZRk0m8dbXmu6nJdPo2bwQlMaNvWeSw7u2LT4i38ddWcLs6EHPZDHbOkCSGyGGer4Nv7BOeXqc5KAQqkaei9neiWontoRemh1dwqI/jpAUeceMIRD5RbJpESMErHEUnXBL60yiJdMElQqJuhMvcbRFA2P3DSLJCs7K0o7HcddW0OOYyPcw8u1EgY+7ONu43fc38EsbJId3ETo7a2yCcoHk8G6iwBdxFpp2VpgJng10dnfQeZxIuMXZwVlTzHz605/mEY94BP39R+eOyWSSD37wg9znPvdBlmW+9rWv8cQnPpHLL7/8hAXNe9/7Xt7xjnecjqfd4jQTIyzwI9etpz6rVBdmGic2LZPD6uwh8n3iKMTqGcBZnMNo66A8MS+s3wdGcNdXiY2Y0HXwNtaQNQ0914bV2Q2SjLe+Ir6P55EcGj3jhmqnitDz8EsFqrNHM4vctZXG5pCzPN8oXIz2ri0eLaqVICjtfLHgFdYx8h34hY2GgeDxyLrQOG12CspT49i9/RhtnWL0oij1cVEBd1WczMNaDTWRxC8WhPdJHDeZw6mJJGoihVdYb5jBER/dYDqbkDUdZ20FydCFK3QsoSZSdT1YhJpIEfk+xDubvW0S++I+Wjq3/fo2UJ2bxqpnYG3/hBT8Sgktmb5D6shanJuc9NXsN7zhDbz//e8/4X1uvPFG9u3b1/j7zMwMQ0NDfPnLX+bJT37yCR976aWXMj4+zk9/+tMd77NdZ2ZgYKC1mn07IHBqlMcPIqkqRq6N6nFmbHBUoOptrBLWqsiajp5rF4nV2TYCt4aiGVSmjmwZo9i9A/jlIqqdJHRdvPUV0rvPa2zx3B6II2GX721soCaTlA7ftO399Fwbkqzgri4hGyZGrk2IRY9BTaRQTKtRZGxHamwfkes0hUIei9HWiZ7JUTrS/DwkRUW1bGGgl+8QIZabyDKp0b3Egd/oYihWAr+4gVfcIDW8i8j3hLmfoogiRlbqmhEJ5SzTQ0W+j1+riDDIShmvuI7V3kV58gh2Tz/V+RlkXUfP5Lb8DDaxewdx15aJAmGEt92/jU1SY/soHd6/7W1WT7947+0k6llsktfijsEZW81+9atfzfOe97wT3md0dLTp75/97Gdpa2u72fERwD3veU+uvPLKE97HMAyMs9iwrMVtoD4qMPIdje2bY5E1HSPfTvHQjU1maptJzFEkzMJqi3Pbhg4Kl9UxyhOHSA7vEgWR69xuipk4ivDLZcoTh+purjtfy3gba8KLpFYlJt52rBPWqhhtHTsWM2oyLTxqNA3FtLboPSRNQ0tl8ArraKlM0+ZTHAaimyNJmF19pHftozo/S1AVvjTe+kpThAGIUVRqdA/V2clGarRi2iQGhghrFUKnJsaGVgLZMM6aLo2saRia2KqTVY2gWKDqeSSHdzVGqGEtQOno3vZ9VEwLNZmitjgLSKKrc0Ji9Gy+MXZtHMdONFaw49AHWsVMi3ODk17MdHR00NFxy2eKcRzz2c9+lksvvRTtFli9X3PNNfT09NyWp9jiHCaKIrR0Brm+1XI8RnunuHKtFzKNTQxJora0QHJwBCmGsFbZ8lgA6poDSdXwiwW0ZOp2NWKKfI/y1GFA2NTvmCIN4r3wXNRkSmyJSRLUAwsbd6l3edRkemuekyRjtncRVMuopk1icFSsDccxKDLUN2WqMxNEYUBqaIzQqRH5zeOURN8Q7uoSejaPaicw2jqBmNo2nQdneRHFSjRO9pKqYff0URo/1JQ3JCkKqZE9Ig06FJETZ0PQpKLrQhMkK4ROjaBcRE2mGxthlZlJ7P4hIs9trGYbuTYkTcNdX8Xq6qM6NyXSv4+Jh2j6HpZNUCmjGBaJwVFRQEYRWiqDpGl4xQKyIjd8bFq0OBc4473WH/3oR4yPj/PCF75wy23//u//jq7rXHTRRQB8/etf5zOf+Qyf+tSnTvfTbHGWIKsqWjorxJzbfFgruiGM21QNu3dAnBRcR9jVaxrI0s1vtERCVxGFAZKq3a42OULXbRR6qpUQnZPlxW3vq5iWcAOuB0LafUPbdgVqC7Okx/bhl9O46yvEYYiWTIkx4OIceipLbXUJu6ObOAxwlheFx4+VwOrqJTEwQhT4xDHYA8NEnkdQLSOrGno2DzGiMxSGOMuLmO2dBDsVo4C3sYqeyeGurWB2dFGdn9kSnBiHIbWleezuPvxKqbHdpugmsq6fUVdgWTdIjuyiNH5Q/LzUGmZHN7WFGeIopDJ15KhpniyhGAal8YMolo3a1UNiYASvsI7d3b8lKwtZxurqpTo7JYp2WUFLZ9DbOqhMjWP39BMFPpKsn5Xp2C1a7MQZL2Y+/elPc8kllzRpaI7lXe96F5OTk6iqyr59+/jSl77EU57ylNP8LFucLciahl9YR8vk0XNtW63y4xhJUUkOjFCZnSDyjl7lS5pGsn8YWVVRkymCcmn771FPEjbszrpPze2nmIkjMSrSs21oKREuqdpJgmp5y33t3oH6irVe151EJIfGqC3Ni/FEHCMbJlZnN87qEqFTI9E/RFirEtSqlCYOCTO2viEUO4GzvIBXWG8cP6iWKY0fINE/jLOySOg6mG2d6Pl2tGRSjEoksWqvJTN4hTW0TFZ4zZxgkykKAsyOHuT6av12q8yqnUDP5ikc/GNTQSwbBsmh3cJl9wyFgkqShGonyey5gKBaEcW0JGG0d4lxXhyL0V8UYfcOUKlnL6mWjV8sYLR1okYRimGQ3nUezuoyke/Wi9cUtYXZRvdLuDrbOIvzKLpBHIYYmVzdZ+nsW2Nv0WInWtlMLc45osAn9HyII2rzM00nYqGLCfHWV7e1eJcNE7O9C9W2KR68ccvtRr5dbDMV10mN7Kmf1G4/xYxfKeNtrKKls9QW5gidGsnBEfH1eldFtROYXb1iI6xu3KYlM1RmhL+Lt7EmQiERwlVnbVk4xrI1C8js6EFLpYmjcNvASaC+Gn80EFGkM1v45RJGJotimESeh18pIWs67sYaxNGOUQlGexeRU0PSdYxc27YC5+TQGOXpcYgi1GRajGokiTiKCFwHIyeMOSVNRVHObIcijkKCSqXeKYnFey1JRL4nuly+B5JEangXcRiColAePyjyl8b2gaLgFzaQdZ3Ic3FXl0VUhWlhtnc1Ij20VEZ0Me0kamuLqcVZQiubqcXtFlnVkFUNv1TE6ukjDsP6aEkVglLZ3FZPASLfR9Y04jAkNboXZ3meoFZFVjVhtBdHBJUyqZE9yIpySkZMURAcdXeVT3MHII7RUlniIBBeI3FMefIwWiqN3TOAJMsETg2/sE4UhmLNPfCRJCH2DZ2aWGefOrLl0JubQ6qdQNocEQHu+gqKYe34lCJfiF7VZBqIcZYXsPsG0WxbmPd5LrKmI+s63saa8KuJY7yNdYijuui7A8UwiBGjxmhzy2mbcaSkqqKzE0XYfUMNN1zhkKtitHVAFFGdmxJhi4aEop65j0pJVtBSaULXIfQDUBRqc9ONVXTFtLB7+kGW8TbWGgGgRq4dZ3WJGLA6eyEKhTliMi2yzCLhaaPaCWTDQoojkWTeKmRanIO0ipkW5yyyphG4DrIsxg7e6hKx75Mc2X3Cx8VRhCTJSLqG1TsoTnTHnPD0TP6UfKDHcUzo1KjOTzdGXJtr5LGi3iIB/G1BnMAC3NVl1GQaWTcaHRW/VMQ/xi/G7Ogmdh0iz0VSFLxyES2dwVlZIjEwTGV6ollQKysk+odw11ZR7SRRGFKdncTs7CF0aje7DSZrunjPJQmzrRNZ1XBXlwhrVeyBESJPhF5q2bwIvYxjUmN7RJcokaK2NC+KF0kS7rXZHM7KElpK5BA5xwiXJVmY9hn5doJqBe8YJ+E4DHCW5omjEFk3KR2+idToXpRk6mT9GG41imFCXQicGBoTmhck4jjCLawT1mpY3b3ife/oRtZ13NVlksO7Gk7WoeuItPT6lpiWyiCrKkpr+7PFOU6rmGlxziKpGnGlRBC56OksRjZPHIlsH5DYae1YkhUkTUM1THGCDwOIxRW7fAquwEPPFT4ncUzx8P6mlXG/uEFQLZMa3UukKNsm954sYt8jrDmEnke0vorZ1rG9F4kkTNu84kZ9y1dBMSy0RIrSkZuozkxi9w4QhyGRL7omimlTnZ3cok+JfA9JUZDrhQpxXPdLySPJCoFTJQ4CvMJ6w8TNXV1Gz7WhZ/NEgSi+JEVFT2eJfZ/SxCFh3W9aJHoGmv1n4hhvfYWgWhZ6kulx7J4BrK5e0aUIQrRMFjWZIg6sHUdf7uoyycFRvI1VqvPTpEZ2nxVbbYqqgqoKcbosi7FSFGK2dTZM9pKDYwSei6Jp4nkf011UDBPFAC2RPCsNBFu0uLW0ipkW5yyyqooTnuvirq0QhQF6OotiaRj5dty15S2P0TM5otBH1ZLiGIpyyvJ6Qs8j9F1kWYT/ORurTYXMJnEQ4G2soefakE9hdEIUBoSei2KY+MUN4jiue8QcfZ8kWcHuH8JdWcTu6RfdG88FJGKE2Zq7voKzNI+sm5gdnfiVEpInIiS2UF/PdleWsHsHxevfTC0PhV2+0dnTELFu4q2vihyofDvlycOkx/YShz6VY8ZbejpLbXGr1xCIcSJxhKRpVOenURNJ7O5+VDtJbWmOoFw6cUxFHDc6dWGtKoqGs6CY2URWVDiB8Z9q37wvUquQaXF7olXMtDinkRUV2VZRTEt0WeIY4gijowtJVcV4oX4CNXJt6Lk2FN045ZsaURgQeS5BuYizNI/VN7TVh+UYgkoJLZWGU5kDJUl4hTWSg6P4xQ1q8zMY+XaSw7uJAw9kGcWwqC7NY7Z3EscRxWO3fSSZRN8gRlsnWjKNrOmUp45g5tsJPbce9tkhXqcswj8lWbjvauksSBKBU20S7rqui7uxRnJwjMr0eFNStFdYOxoeKsk4y82Fi2JajbXx7fArFVTTwvd94atiJwiq5Xo4qURqdO/Nvl9H/9s68bdocTbTKmZa3C6QZBnluBGN0tmDkW8XV9WSMGg7HaF5cRQJganEUWfcOKp3LrbP15EUIUo9la1/SVFFPMH6Kon+YaoLs7hrK/UsJgO7d5A4jrG7+ogCj8qR40YwcURlZoLU2D5C1yV0xXivOjeNlkyjtnUiaarQ20QREOOVNgirYqvM7Oimul2kQRThLC9g5NubAivjMIQYFMMijqOm7KXNx4nQyu2N/2RVIXCPdsKMdJ7ikbqFf329+WjnqRmxQSW+rufakLTWmnKLFmczZ84ZqkWLU4wkyyi6gWrZqKaFouuntJCJo4jQrVGdn6EydQRneZFE3xBGWyfu6jJme9eOj9WzeWRZPaF/ym1F1nSxhl3cwFldwu7uIzk0Jv4MjiGpOu7KkijClha2PFZLZ9FSGdy1ZbREktrclMi9yncgaRqhWyOsVHBWFojCgMr0BM7SgtgOkiT84saOzy2olBpbOJsIUzhZPD6OGyLWTbzCOnp9hXo71ESqaW0/Jm7aanKWF7B7B7eMxyRVw+odoLayKHx0OrqR5dZ1X4sWZzOtf6EtWpwkglpVhCUeo7XwixtYXb2imLJstEwO/xjjOACjrUP4flg2p7JpJMsysWmR3nU+XnEdr7iBatliBKSoqKqK0jdI5LmEdVM1SVGE2DeKCSol4UeSzjViEPziBmZHN361UrfJLwIyRBFmexfVuWkqU+Mkh8YIqtubFG6HtLmqHcf4tRpKGGB2djclb/ulAsn8GGG1QlBtdgS2+4aIgkDkL8mKGFcpStPWWuR7VOensPsG6+NJsSEnyRJ+qUiibwhZN25XDtAtWtxeaRUzLVqcBCLfF6nQ23hQ1hbnSQ6PUTxwA+k9d8Js68AvFupbQ0lCz0VLZcSGzqnUzACKqoGqIWkqRDFIQne0ad8vARFCjxK5DomBEWoLs01bSiImoAerqxfZMAlqFZFx5FQJazX8UgF3dQnFtEgMjlCeOExp/ADJ4Z1X5rVUGr9aFqvVmZwYVcUxXnEDzU5QW15AT+ew+4fEBlZdSF2ZnSI5NEYcBgSVMpKqoiVShL6HYtrYqkIUbKaEuxj540Ix4/reWxQRuS4QoyaSotskCU+jllC2RYuzn1Yx06LFSSAKg4Zny1bq4ZWKSvHA9ZjdA+htnRBHECOM0GLwC+tizfk0mOgpO2zmRL5HHEfC60Uz8MulbeMAnOV5Urv2QSRMBp16vpOeyZEc3k1lZpzQqeEXN9AyWfzCOrHv1UduzQnbkqJgdfcLy/58J0gxcRghAUY2RxxFaIkUEKPaKdK7zmt43EiKShRFyIaJbljEnieM80wLooDy5BFSo3uozU9j94+gmiZx3SFaUjUSfYOUp8ebE8FlmdTIHjgN+qoWLVqcHFrFTIsWpwtJxCmohk5l6khTcrcyvAvJMESBc4aIo4jq4hxGvgNZUzHy+W2jAI6lPDXeZJ7nri7hlwok+oYoTx7GXV8j0T+EJMuoiSRRGIggxI014jBATSRRk2liSUaKQnzXQdV1avOzQu8iSeiZPHo2T2V6nNrCLIn+ESRVhSgUBoiKShz4lI4cwMi1o+fbqUwdweroFkVQLPQzsiJTOnKAxOCo2LRSVOH8e7xOKYooTx4S3j9h2MooatHiHKBVzLRocRKQFQXZMOqjiq2oiRSJviEiz6M6P90UgAkIl9xUljMZlRb5HoFbw1IUKtMTGO0d9a0kAAktk0VPZ+q5QD5+YWNLGjUgNDeug2LZhLUqimUDEmEQCBfh5UWhTbFstHQGWVYIA5/Ac9FMSxgLbr4PcYy3sSpM8PoGqEyNU5kZJ73rPEqTk8SbuUQje9BzbWi5NvzihnADVhQRRlpYx2jvJPI80XnyPcpTR0iO7N42vwuE908cBsSyfMp8iFq0aHHyaG0ztWhxEpA1nUT/MNspeM2uPkCiMj2xbSEDYhX4TE804igi2T9CZWaSoFomqFTQkmkkVSU5vAtZUajMTlGZnkBWNeEQvAN+sYCaSKJYCYhCkGJkRUE1LOzeAYzOHrRkiursFIUDN1CZPEzsuztuc0WeKzRF9Y0md2OV9OgeUSjFMc7qEmZbB7IkiyBKRIEpKQru+gqyqjVWu2NiJEVBkk788bfTyneLFi3OPlqdmRYtThKqlSC9+3yclUXCShlZ1zE7upFUjaBWxWjv3NbkTQRkio0ZEcVwhpAkCEOCitg68tZXSQyNooch1bmpJj+W0HUaouFtkWWI43pQZYBqJUSkASDLCoFTaooSiMMAZ3EeLZXG6uyltji75ZBBpSyEyZ5L5PtEUYTd3YdbWEfP5PBLReJQfC0OfMJ6nhNxTOg4je/vrq5gdfWJ5y/L27oyA8i6fmZ/Hi1atLjFtIqZFi1OEpIso5oWid5BcVUvy8iKcMBFksG2iQIfb+1osKGsG8L7pVpGS2dPb4L28cRxUzdiUyirJtNbjOX84gZ6Nk9thzGNkc2LsZvvIckasSQRuZ7weoHtM6EQgZdGW+eWpGsQQuHNzo2WSIoxUBii6Abl8YPiTrKMWXcoRpaJgUT/MJIsoZgp1FSaoFQUW2SBj9netW2BqWfbAOmUZHW1aNHi5NP6l9qixUlGkuWmroUkSaiGQeA6aHayHogZI8kSkedSXZwn0TtAdAbnTHEci5DO4/UhkrTFFweExkfWdFQ72WRMB6ClMyiJJEG1IlyXdZ2gWEDWDEKvJlK1t3HdbRx705n3uO0wYdh3GFnThfdLLMZ7jbwmWSY5OIq7soS7tkJyaAwCH3dtubG2bbZ3YuQ7Gt43kiRh9wzgrCw2Ns6Mto66P01rCt+ixblCq5hp0eI0IdKjDdHxKGxAFKJn81idPYCEdgbN2cRKtjBd0VJZ/NJG/YZoa4FTpzIzSaJ/CKO9s5F3ZOTakQ0DoggtkQRFxVtbJo4iFNMUAY/6ib10xKZS8+jH6urFLxbQ0lmszh7cwjpGOot7TM6T1dmDs7RAUC2LvKkwoDx5uHF7HATUFuZQk2nSu/YRxxFBrUrke5id3ciKShxFuOurGKbVMstr0eIcolXMtGhxmlBUDQwgDNCzeYgjZE1HUlQU/cyeOOMogiimujAliitJwi+u45eK2P1DoljZ+iCiwMevVLC7+/CKGyiG0ZRGHbgO3toqdt8ApSMHgRhZN9BSGfxSYesxJQktkUIdThK6DqHjoqVSEAvRbuR5VOamMTI5UJo7YIpp4a4uY/cNgyxRm9s+UTsoF4mjkNLkYRI9A4SeQ21hjjgMUEwLq6cf1U60PGZatDiHaBUzLVqcRhRNA00Tpm5nERIScRQS1qqUJw9jtHWQHNmNhIgWMPIduGvLTY9R7SRaIoWsalRnJokCHzPX3rg9dB3iwEfPt9U1MkID466vkBoaI3RqRH7zZleiX8QQlCcPoVg2dk8/vuNA4IuizzBRDIPq3BTJwVG0dBZ3faWxQm739BN6HkTatmZ/m/jlMoqmU5keR02kSI3sFuNBRUU+k7qlFi1a3CpaxUyLFi2QNA2cuKFVcVeWROhkHbOjm9ToHryNdeI4Qs/kkFWdqD6qCaplEgPDjUIg8n2xTh1FKLrRXFhEEeXpCZH5FAQEThVZ1VDtJO7aMqHrYPcNUpkap3j4JlIje/A9F8XUcNZW0BJJFE3HXV9FTaQwO7pxV5cBifLUkXqgp0U9qGDb1ysrSmOUFVRK1Jbm0XNtouPTokWLc46Wwq1FixbCA8ZOYrZ1bnu7s7JIHMVEnit0MbqJ71SFwHZlEaO9Cy2Vadw/ikK8wjpBpSzWn48jDnyRLL6ygJZME7oO5YmD+MUNItchrodEEkV4G6uiYzRxCD2Vxl1dIo4izM4e1EQCLZ3F7hmgtjADQBgEyJqGlsnu+HpVO9FkhhcH/hl1X27RosVto1XMtGjRAgBFN9DSGYz2rqavS7JCYmAYv1LC7BLi2+KB66nNTiLrBuk9F4jQyWPznqKI0HNx1paRFFUkYG9D5HlIsrJlY8ovFVHtJHDUX4Y4pjo7KdaplxfqB4iJXAfZEN0fq6sX1TAojR/EyLc3vGWOxe4fxiuXUOoGfFCPO9BObchnixYtTh2tMVOLFi0aKLqB1dWD2dbRMMaTVI04jJB9j/LEoYYXjdneTeg6aMn0lvwiSZFRDIugXKIyeYTk0CilieqWHCSruw9vY5XjkY4xs5MUlTgS3zMOQ+FBI0mETo3awgxGWye6pqMmkiBJ1BaE4V5lehy7d1CMsqplZN1AT2fxy0UUwyDYFCDLMnqurZXB1KLFOUyrM9OiRYsm5LrQVk2mkVQNoojIreGurjQiBey+IfRcHi2V3tZYTpJV9EyunuPkUp46QqJ/GKu7Dy2VQc+3iyBHz912U0rL5PDLRQCMer5SgygCSUKSJeI4bpjemZ09jfRuEKvYm6OsOIrQkmn8chF3dRlFNwkqJVQ7SWpkN7Est1axW7Q4h2l1Zlq0aLEtsiwjmxah6yBbdt1kTiaumwCe8LGqSqwbJIfGqM6KKITyxCEh2O3qEd0WzyXYxkFYz7YRuSKLSc+1EQUBsX800FJSNYjr0Q/17k0cRcInJtya7RR5HpHnoVo2aiIpYg+A5NAYgesgq1rTyKlFixbnHq1ipkWLFidEMUxuzQBG0XUkRSY5sgeigDgWI6PNqALJMLB7+onCEH9jDWQZI9dOHEeEtSrJ4V0ElXJD2Atg5Dvwi+vYvf04q0dXxSPPFZqdbWIQNhHjshCzs5vawgyyqmF2dDf54rRo0eLcpFXMtGjR4pQhKyqysv3HTBzHRDh4xQKSbiABvlNDMy20dI7QqTSM9WRdx2jvanRQvPVVgvoYSjEtFNMGWULPtTVlX20iKQqyoiKpGpKikOgdQpLllqdMixa3E1rFTIsWLc4IkiQhGyZmexdx4Nf1ODrIMpHnUVuYq28kiQJGNiycxRn8UrHRfZF1g8TgKN7GKqqVxGzvInLdRvI3iG5QYmCY0HGRJVC11lipRYvbG61ipkWLFmcMSZJElMNxK9RS/bbNzSQQ69NWZw/E4JeLokgZGsVZmsfItVGemSAOQlKj/7+9e49p6n7/AP5ukRYqthWhXBSQy8T7jSkDnZfIRMfmXIxxzqg4L5Ph5oUgEqdMEybTTf8wukui1MRN4zJFs6EEEeaceCNUgyA/QS4qAk5XChMtl+f3B1+OHkG5CJSDzytpoJ/zaXk+edqeh9Pz+ZxBANWjrrq64TpPMhnqzE8gVyphpVTyib6M9UBczDDGuh25tQJ2A31QWZgnXD279r9KPConqJzdYOPo/PQCmDIZnvz7QDhJuDL/BqzVWij69oOMALmNDaygEr5W4msuMdbzdNrU7NjYWAQGBkKlUkGr1Tbbp7i4GCEhIVCpVNDpdIiMjETtc+tQpKWlYezYsVAqlfDx8YFer++skBlj3YiV0gZ9vAahj/dg9B4wEH28BkGp1qKq4P9QeSsXpps5qK+tgXUfjXjqNoAakxH/FeWjqjgf5n8fNKx7o1BwIcNYD9VpxYzZbMbcuXMRFhbW7Pa6ujqEhITAbDbj/PnzOHDgAPR6PTZv3iz0KSgoQEhICKZOnQqDwYA1a9Zg2bJlSEpK6qywGWPdiJW1Ata97dCrt13DSsGVJmEBPYAapmcDL5zBBPzviuAv3swY6wFkRC/5FOgAer0ea9asgdFoFLWfPHkS7733HkpKSuDk1LB8+g8//ICoqCjcv38fCoUCUVFR+OOPP5CVlSU87qOPPoLRaMSpU6daHYPJZIJGo0FFRQXU6uaXVWeMdW9EhPoa8/9W9P0PkAG9eqthrniIukdPZz49z87zDfRS2fEKv4xJUGv33xZbATg9PR0jRowQChkACA4OhslkwvXr14U+QUFBoscFBwcjPT39pc/95MkTmEwm0Y0xJm0NJwsr0UvVG9YaLazt1Hhcfg+KPpqGK2U3c0FLazs1rKyVXMgw1sNZrJgpLS0VFTIAhPulpaUv7WMymVBdXf3C5962bRs0Go1wc3Nz6+DoGWOWZGWtgJXSBrYu/Ruufm2tgNp7cMM1lqwVsLKxhaq/O1Su7ryWDGOvgTYVMxs2bIBMJnvp7caNG50Va6tFR0ejoqJCuN2+fdvSITHGOoGVtQK9lDawtrGBlY0tbJ36w87zDfR294a1ui/kSuXTWU+MsR6rTVOzIyIiEBoa+tI+Xl5erXouZ2dnXLp0SdRWVlYmbGv82dj2bB+1Wg1bW9sXPrdSqYSyhWvHMMZ6FmHNGsbYa6dNxYyjoyMcHR075A8HBAQgNjYW5eXl0Ol0AIDk5GSo1WoMHTpU6JOYmCh6XHJyMgICAjokBsYYY4xJX6edM1NcXAyDwYDi4mLU1dXBYDDAYDCgqqoKADB9+nQMHToUCxcuxNWrV5GUlIQvv/wS4eHhwlGVlStX4tatW1i/fj1u3LiBvXv34siRI1i7dm1nhc0YY4wxiem0qdmhoaE4cOBAk/bU1FRMmTIFAFBUVISwsDCkpaWhd+/eWLx4MeLi4tCr19MDRmlpaVi7di2ys7MxYMAAbNq0qcWvup7HU7MZY4wx6Wnt/rvT15npDriYYYwxxqSn268zwxhjjDHWEbiYYYwxxpikcTHDGGOMMUnjYoYxxhhjksbFDGOMMcYkjYsZxhhjjElam1YAlqrG2ed89WzGGGNMOhr32y2tIvNaFDOVlZUAwFfPZowxxiSosrISGo3mhdtfi0Xz6uvrUVJSgj59+kAmk3Xq3zKZTHBzc8Pt27d73AJ9PDbp6snj47FJU08eG9Czx9eVYyMiVFZWwtXVFXL5i8+MeS2OzMjlcgwYMKBL/6Zare5xL+BGPDbp6snj47FJU08eG9Czx9dVY3vZEZlGfAIwY4wxxiSNixnGGGOMSRoXMx1MqVQiJiYGSqXS0qF0OB6bdPXk8fHYpKknjw3o2ePrjmN7LU4AZowxxljPxUdmGGOMMSZpXMwwxhhjTNK4mGGMMcaYpHExwxhjjDFJ42KmnWJjYxEYGAiVSgWtVttsn+LiYoSEhEClUkGn0yEyMhK1tbWiPmlpaRg7diyUSiV8fHyg1+s7P/g2SktLg0wma/Z2+fJlAEBhYWGz2y9cuGDh6Fs2cODAJnHHxcWJ+ly7dg1vv/02bGxs4Obmhu3bt1so2tYrLCzE0qVL4enpCVtbW3h7eyMmJgZms1nUR6p5A4A9e/Zg4MCBsLGxgb+/Py5dumTpkNps27ZtGDduHPr06QOdTofZs2cjNzdX1GfKlClNcrRy5UoLRdw2X331VZPYBw8eLGx//PgxwsPD0a9fP9jZ2WHOnDkoKyuzYMSt19xnh0wmQ3h4OABp5e3s2bN4//334erqCplMhoSEBNF2IsLmzZvh4uICW1tbBAUF4ebNm6I+Dx8+xIIFC6BWq6HVarF06VJUVVV1zQCItcvmzZtp586dtG7dOtJoNE2219bW0vDhwykoKIgyMzMpMTGRHBwcKDo6Wuhz69YtUqlUtG7dOsrOzqbdu3eTlZUVnTp1qgtH0rInT57QvXv3RLdly5aRp6cn1dfXExFRQUEBAaDTp0+L+pnNZgtH3zIPDw/aunWrKO6qqiphe0VFBTk5OdGCBQsoKyuLDh06RLa2tvTjjz9aMOqWnTx5kkJDQykpKYny8/Pp+PHjpNPpKCIiQugj5bwdPnyYFAoF7d+/n65fv07Lly8nrVZLZWVllg6tTYKDgyk+Pp6ysrLIYDDQu+++S+7u7qLX4OTJk2n58uWiHFVUVFgw6taLiYmhYcOGiWK/f/++sH3lypXk5uZGKSkpdOXKFXrrrbcoMDDQghG3Xnl5uWhcycnJBIBSU1OJSFp5S0xMpI0bN9LRo0cJAB07dky0PS4ujjQaDSUkJNDVq1dp1qxZ5OnpSdXV1UKfGTNm0KhRo+jChQv0119/kY+PD82fP79L4udi5hXFx8c3W8wkJiaSXC6n0tJSoe37778ntVpNT548ISKi9evX07Bhw0SPmzdvHgUHB3dqzK/KbDaTo6Mjbd26VWhr3ClmZmZaLrB28vDwoF27dr1w+969e6lv375C3oiIoqKiyNfXtwui61jbt28nT09P4b6U8zZ+/HgKDw8X7tfV1ZGrqytt27bNglG9uvLycgJAf/75p9A2efJkWr16teWCegUxMTE0atSoZrcZjUaytramX3/9VWjLyckhAJSent5FEXac1atXk7e3t/BPnlTz9nwxU19fT87OzrRjxw6hzWg0klKppEOHDhERUXZ2NgGgy5cvC31OnjxJMpmM7t692+kx89dMnSQ9PR0jRoyAk5OT0BYcHAyTyYTr168LfYKCgkSPCw4ORnp6epfG2lYnTpzAgwcPsGTJkibbZs2aBZ1Oh4kTJ+LEiRMWiK594uLi0K9fP4wZMwY7duwQfR2Ynp6OSZMmQaFQCG3BwcHIzc3Fv//+a4lw262iogL29vZN2qWWN7PZjIyMDNH7Ry6XIygoqNu/f1pSUVEBAE3y9PPPP8PBwQHDhw9HdHQ0Hj16ZInw2uXmzZtwdXWFl5cXFixYgOLiYgBARkYGampqRHkcPHgw3N3dJZdHs9mMgwcP4pNPPhFd0FjKeWtUUFCA0tJSUZ40Gg38/f2FPKWnp0Or1eLNN98U+gQFBUEul+PixYudHuNrcaFJSygtLRUVMgCE+6WlpS/tYzKZUF1dDVtb264Jto327duH4OBg0cU77ezs8N1332HChAmQy+X47bffMHv2bCQkJGDWrFkWjLZlX3zxBcaOHQt7e3ucP38e0dHRuHfvHnbu3AmgIU+enp6ixzyby759+3Z5zO2Rl5eH3bt349tvvxXapJq3f/75B3V1dc2+f27cuGGhqF5dfX091qxZgwkTJmD48OFC+8cffwwPDw+4urri2rVriIqKQm5uLo4ePWrBaFvH398fer0evr6+uHfvHrZs2YK3334bWVlZKC0thUKhaHLeoZOTk/A5KRUJCQkwGo0IDQ0V2qSct2c15qK599uz+zOdTifa3qtXL9jb23dJLrmYecaGDRvwzTffvLRPTk6O6OQ1KWvPeO/cuYOkpCQcOXJE1M/BwQHr1q0T7o8bNw4lJSXYsWOHRXaKbRnbs3GPHDkSCoUCn376KbZt29atlutu1J683b17FzNmzMDcuXOxfPlyob275e11Fx4ejqysLJw7d07UvmLFCuH3ESNGwMXFBdOmTUN+fj68vb27Osw2mTlzpvD7yJEj4e/vDw8PDxw5cqTb/sPWHvv27cPMmTPh6uoqtEk5b1LDxcwzIiIiRFV1c7y8vFr1XM7Ozk1mVjSeoe/s7Cz8fP6s/bKyMqjV6i55k7dnvPHx8ejXr1+rdnT+/v5ITk5+lRDb7VVy6e/vj9raWhQWFsLX1/eFeQKe5rIrtXVsJSUlmDp1KgIDA/HTTz+1+PyWzFtrOTg4wMrKqtm8WCInHWHVqlX4/fffcfbsWdFRz+b4+/sDaDjaJrWdolarxaBBg5CXl4d33nkHZrMZRqNRdHRGanksKirC6dOnWzziItW8NeairKwMLi4uQntZWRlGjx4t9CkvLxc9rra2Fg8fPuySXHIx8wxHR0c4Ojp2yHMFBAQgNjYW5eXlwqG35ORkqNVqDB06VOiTmJgoelxycjICAgI6JIaWtHW8RIT4+HgsWrQI1tbWLfY3GAyiF35XepVcGgwGyOVyIW8BAQHYuHEjampqhHEnJyfD19fXIl8xtWVsd+/exdSpU+Hn54f4+HjI5S2fJmfJvLWWQqGAn58fUlJSMHv2bAANX9GkpKRg1apVlg2ujYgIn3/+OY4dO4a0tLQmX2k2x2AwAEC3z1NzqqqqkJ+fj4ULF8LPzw/W1tZISUnBnDlzAAC5ubkoLi7uss/BjhAfHw+dToeQkJCX9pNq3jw9PeHs7IyUlBSheDGZTLh48SLCwsIANHxOGo1GZGRkwM/PDwBw5swZ1NfXC0Vcp+r0U4x7qKKiIsrMzKQtW7aQnZ0dZWZmUmZmJlVWVhLR06nZ06dPJ4PBQKdOnSJHR8dmp2ZHRkZSTk4O7dmzp1tOzW50+vRpAkA5OTlNtun1evrll18oJyeHcnJyKDY2luRyOe3fv98Ckbbe+fPnadeuXWQwGCg/P58OHjxIjo6OtGjRIqGP0WgkJycnWrhwIWVlZdHhw4dJpVJ1+6nZd+7cIR8fH5o2bRrduXNHND20kVTzRtQwNVupVJJer6fs7GxasWIFabVa0QxCKQgLCyONRkNpaWmiHD169IiIiPLy8mjr1q105coVKigooOPHj5OXlxdNmjTJwpG3TkREBKWlpVFBQQH9/fffFBQURA4ODlReXk5EDVOz3d3d6cyZM3TlyhUKCAiggIAAC0fdenV1deTu7k5RUVGidqnlrbKyUtiPAaCdO3dSZmYmFRUVEVHD1GytVkvHjx+na9eu0QcffNDs1OwxY8bQxYsX6dy5c/TGG2/w1OzubvHixQSgya1xfQEiosLCQpo5cybZ2tqSg4MDRUREUE1Njeh5UlNTafTo0aRQKMjLy4vi4+O7diBtMH/+/Beu/6DX62nIkCGkUqlIrVbT+PHjRdMtu6uMjAzy9/cnjUZDNjY2NGTIEPr666/p8ePHon5Xr16liRMnklKppP79+1NcXJyFIm69+Pj4Zl+jz/4PI9W8Ndq9eze5u7uTQqGg8ePH04ULFywdUpu9KEeNnwXFxcU0adIksre3J6VSST4+PhQZGdlt1yt53rx588jFxYUUCgX179+f5s2bR3l5ecL26upq+uyzz6hv376kUqnoww8/FBXc3V1SUhIBoNzcXFG71PKWmpra7Otw8eLFRNQwPXvTpk3k5ORESqWSpk2b1mTMDx48oPnz55OdnR2p1WpasmSJ8A9+Z5MREXX+8R/GGGOMsc7B68wwxhhjTNK4mGGMMcaYpHExwxhjjDFJ42KGMcYYY5LGxQxjjDHGJI2LGcYYY4xJGhczjDHGGJM0LmYYY4wxJmlczDDGGGNM0riYYYwxxpikcTHDGGOMMUnjYoYxxhhjkvb/qPjOJc4EzfcAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# 데이터 X와 레이블 y를 사용한다고 가정\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "X_tsne = tsne.fit_transform(X)\n", + "\n", + "sns.set_palette(\"deep\")\n", + "sns.scatterplot(x = X_tsne[:, 0], y = X_tsne[:, 1], hue=y)\n", + "plt.legend(title='Label')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# 데이터 X와 레이블 y를 사용한다고 가정\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "X_tsne = tsne.fit_transform(X=X[['x1', 'y1', 'z1', 'x2', 'y2', 'z2']])\n", + "\n", + "sns.set_palette(\"deep\")\n", + "sns.scatterplot(x = X_tsne[:, 0], y = X_tsne[:, 1], hue=y)\n", + "plt.legend(title='Label')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# 데이터 X와 레이블 y를 사용한다고 가정\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "X_tsne = tsne.fit_transform(X=X[['x1', 'y1', 'z1', 'x3', 'y3', 'z3']])\n", + "\n", + "sns.set_palette(\"deep\")\n", + "sns.scatterplot(x = X_tsne[:, 0], y = X_tsne[:, 1], hue=y)\n", + "plt.legend(title='Label')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# 데이터 X와 레이블 y를 사용한다고 가정\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "X_tsne = tsne.fit_transform(X=X[['x3', 'y3', 'z3', 'x2', 'y2', 'z2']])\n", + "\n", + "sns.set_palette(\"deep\")\n", + "sns.scatterplot(x = X_tsne[:, 0], y = X_tsne[:, 1], hue=y)\n", + "plt.legend(title='Label')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# 데이터 X와 레이블 y를 사용한다고 가정\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "X_tsne = tsne.fit_transform(X=X[['x1', 'y1', 'z1']])\n", + "\n", + "sns.set_palette(\"deep\")\n", + "sns.scatterplot(x = X_tsne[:, 0], y = X_tsne[:, 1], hue=y)\n", + "plt.legend(title='Label')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# 데이터 X와 레이블 y를 사용한다고 가정\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "X_tsne = tsne.fit_transform(X=X[['x2', 'y2', 'z2']])\n", + "\n", + "sns.set_palette(\"deep\")\n", + "sns.scatterplot(x = X_tsne[:, 0], y = X_tsne[:, 1], hue=y)\n", + "plt.legend(title='Label')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.manifold import TSNE\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# 데이터 X와 레이블 y를 사용한다고 가정\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "X_tsne = tsne.fit_transform(X=X[['x3', 'y3', 'z3']])\n", + "\n", + "sns.set_palette(\"deep\")\n", + "sns.scatterplot(x = X_tsne[:, 0], y = X_tsne[:, 1], hue=y)\n", + "plt.legend(title='Label')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# 'label' 열의 각 숫자의 갯수 카운트\n", + "label_counts = df_combined['label'].value_counts(sort=False)\n", + "\n", + "# 시각화\n", + "plt.figure(figsize=(8, 6))\n", + "ax = sns.barplot(x=label_counts.index, y=label_counts.values, palette='viridis')\n", + "\n", + "# 막대 위에 숫자 표시\n", + "for p, count in zip(ax.patches, label_counts.values):\n", + " ax.annotate(f'{count}', (p.get_x() + p.get_width() / 2., p.get_height()), ha='center', va='center', xytext=(0, 10), textcoords='offset points', fontsize=10)\n", + "\n", + "plt.title('Count of Each Number in \"label\" Column')\n", + "plt.xlabel('Label')\n", + "plt.ylabel('Count')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.tree import export_graphviz\n", + "# Export as dot file\n", + "estimator = rf_model.estimators_[3]\n", + "\n", + "export_graphviz(estimator, out_file='tree.dot',\n", + " class_names=['1', '2', '3', '4'],\n", + " max_depth = 3, # 표현하고 싶은 최대 depth\n", + " precision = 3, # 소수점 표기 자릿수\n", + " filled = True, # class별 color 채우기\n", + " rounded=True, # 박스의 모양을 둥글게\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "export_graphviz" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "import graphviz" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "ename": "ExecutableNotFound", + "evalue": "failed to execute WindowsPath('dot'), make sure the Graphviz executables are on your systems' PATH", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\graphviz\\backend\\execute.py:79\u001b[0m, in \u001b[0;36mrun_check\u001b[1;34m(cmd, input_lines, encoding, quiet, **kwargs)\u001b[0m\n\u001b[0;32m 78\u001b[0m kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mstdout\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mstderr\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m subprocess\u001b[38;5;241m.\u001b[39mPIPE\n\u001b[1;32m---> 79\u001b[0m proc \u001b[38;5;241m=\u001b[39m \u001b[43m_run_input_lines\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcmd\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minput_lines\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 80\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\graphviz\\backend\\execute.py:99\u001b[0m, in \u001b[0;36m_run_input_lines\u001b[1;34m(cmd, input_lines, kwargs)\u001b[0m\n\u001b[0;32m 98\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_run_input_lines\u001b[39m(cmd, input_lines, \u001b[38;5;241m*\u001b[39m, kwargs):\n\u001b[1;32m---> 99\u001b[0m popen \u001b[38;5;241m=\u001b[39m subprocess\u001b[38;5;241m.\u001b[39mPopen(cmd, stdin\u001b[38;5;241m=\u001b[39msubprocess\u001b[38;5;241m.\u001b[39mPIPE, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m 101\u001b[0m stdin_write \u001b[38;5;241m=\u001b[39m popen\u001b[38;5;241m.\u001b[39mstdin\u001b[38;5;241m.\u001b[39mwrite\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\subprocess.py:951\u001b[0m, in \u001b[0;36mPopen.__init__\u001b[1;34m(self, args, bufsize, executable, stdin, stdout, stderr, preexec_fn, close_fds, shell, cwd, env, universal_newlines, startupinfo, creationflags, restore_signals, start_new_session, pass_fds, user, group, extra_groups, encoding, errors, text, umask)\u001b[0m\n\u001b[0;32m 948\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstderr \u001b[38;5;241m=\u001b[39m io\u001b[38;5;241m.\u001b[39mTextIOWrapper(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstderr,\n\u001b[0;32m 949\u001b[0m encoding\u001b[38;5;241m=\u001b[39mencoding, errors\u001b[38;5;241m=\u001b[39merrors)\n\u001b[1;32m--> 951\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_child\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecutable\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpreexec_fn\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mclose_fds\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 952\u001b[0m \u001b[43m \u001b[49m\u001b[43mpass_fds\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 953\u001b[0m \u001b[43m \u001b[49m\u001b[43mstartupinfo\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcreationflags\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mshell\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 954\u001b[0m \u001b[43m \u001b[49m\u001b[43mp2cread\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mp2cwrite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 955\u001b[0m \u001b[43m \u001b[49m\u001b[43mc2pread\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mc2pwrite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 956\u001b[0m \u001b[43m \u001b[49m\u001b[43merrread\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merrwrite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 957\u001b[0m \u001b[43m \u001b[49m\u001b[43mrestore_signals\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 958\u001b[0m \u001b[43m \u001b[49m\u001b[43mgid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgids\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mumask\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 959\u001b[0m \u001b[43m \u001b[49m\u001b[43mstart_new_session\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 960\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[0;32m 961\u001b[0m \u001b[38;5;66;03m# Cleanup if the child failed starting.\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\subprocess.py:1420\u001b[0m, in \u001b[0;36mPopen._execute_child\u001b[1;34m(self, args, executable, preexec_fn, close_fds, pass_fds, cwd, env, startupinfo, creationflags, shell, p2cread, p2cwrite, c2pread, c2pwrite, errread, errwrite, unused_restore_signals, unused_gid, unused_gids, unused_uid, unused_umask, unused_start_new_session)\u001b[0m\n\u001b[0;32m 1419\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 1420\u001b[0m hp, ht, pid, tid \u001b[38;5;241m=\u001b[39m \u001b[43m_winapi\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mCreateProcess\u001b[49m\u001b[43m(\u001b[49m\u001b[43mexecutable\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1421\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# no special security\u001b[39;49;00m\n\u001b[0;32m 1422\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m 1423\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mint\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mclose_fds\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1424\u001b[0m \u001b[43m \u001b[49m\u001b[43mcreationflags\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1425\u001b[0m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1426\u001b[0m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1427\u001b[0m \u001b[43m \u001b[49m\u001b[43mstartupinfo\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1428\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 1429\u001b[0m \u001b[38;5;66;03m# Child is launched. Close the parent's copy of those pipe\u001b[39;00m\n\u001b[0;32m 1430\u001b[0m \u001b[38;5;66;03m# handles that only the child should have open. You need\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1433\u001b[0m \u001b[38;5;66;03m# pipe will not close when the child process exits and the\u001b[39;00m\n\u001b[0;32m 1434\u001b[0m \u001b[38;5;66;03m# ReadFile will hang.\u001b[39;00m\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [WinError 2] 지정된 파일을 찾을 수 없습니다", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[1;31mExecutableNotFound\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python39\\site-packages\\IPython\\core\\formatters.py:974\u001b[0m, in \u001b[0;36mMimeBundleFormatter.__call__\u001b[1;34m(self, obj, include, exclude)\u001b[0m\n\u001b[0;32m 971\u001b[0m method \u001b[38;5;241m=\u001b[39m get_real_method(obj, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprint_method)\n\u001b[0;32m 973\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m method \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m--> 974\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[43minclude\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minclude\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexclude\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexclude\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 975\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m 976\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\graphviz\\jupyter_integration.py:98\u001b[0m, in \u001b[0;36mJupyterIntegration._repr_mimebundle_\u001b[1;34m(self, include, exclude, **_)\u001b[0m\n\u001b[0;32m 96\u001b[0m include \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m(include) \u001b[38;5;28;01mif\u001b[39;00m include \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m {\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_jupyter_mimetype}\n\u001b[0;32m 97\u001b[0m include \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m(exclude \u001b[38;5;129;01mor\u001b[39;00m [])\n\u001b[1;32m---> 98\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {mimetype: \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, method_name)()\n\u001b[0;32m 99\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m mimetype, method_name \u001b[38;5;129;01min\u001b[39;00m MIME_TYPES\u001b[38;5;241m.\u001b[39mitems()\n\u001b[0;32m 100\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m mimetype \u001b[38;5;129;01min\u001b[39;00m include}\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\graphviz\\jupyter_integration.py:98\u001b[0m, in \u001b[0;36m\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 96\u001b[0m include \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m(include) \u001b[38;5;28;01mif\u001b[39;00m include \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m {\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_jupyter_mimetype}\n\u001b[0;32m 97\u001b[0m include \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m(exclude \u001b[38;5;129;01mor\u001b[39;00m [])\n\u001b[1;32m---> 98\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {mimetype: \u001b[38;5;28;43mgetattr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmethod_name\u001b[49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 99\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m mimetype, method_name \u001b[38;5;129;01min\u001b[39;00m MIME_TYPES\u001b[38;5;241m.\u001b[39mitems()\n\u001b[0;32m 100\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m mimetype \u001b[38;5;129;01min\u001b[39;00m include}\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\graphviz\\jupyter_integration.py:112\u001b[0m, in \u001b[0;36mJupyterIntegration._repr_image_svg_xml\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 110\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_repr_image_svg_xml\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mstr\u001b[39m:\n\u001b[0;32m 111\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Return the rendered graph as SVG string.\"\"\"\u001b[39;00m\n\u001b[1;32m--> 112\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpipe\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43msvg\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mSVG_ENCODING\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\graphviz\\piping.py:104\u001b[0m, in \u001b[0;36mPipe.pipe\u001b[1;34m(self, format, renderer, formatter, neato_no_op, quiet, engine, encoding)\u001b[0m\n\u001b[0;32m 55\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mpipe\u001b[39m(\u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m 56\u001b[0m \u001b[38;5;28mformat\u001b[39m: typing\u001b[38;5;241m.\u001b[39mOptional[\u001b[38;5;28mstr\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[0;32m 57\u001b[0m renderer: typing\u001b[38;5;241m.\u001b[39mOptional[\u001b[38;5;28mstr\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 61\u001b[0m engine: typing\u001b[38;5;241m.\u001b[39mOptional[\u001b[38;5;28mstr\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[0;32m 62\u001b[0m encoding: typing\u001b[38;5;241m.\u001b[39mOptional[\u001b[38;5;28mstr\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m typing\u001b[38;5;241m.\u001b[39mUnion[\u001b[38;5;28mbytes\u001b[39m, \u001b[38;5;28mstr\u001b[39m]:\n\u001b[0;32m 63\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Return the source piped through the Graphviz layout command.\u001b[39;00m\n\u001b[0;32m 64\u001b[0m \n\u001b[0;32m 65\u001b[0m \u001b[38;5;124;03m Args:\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 102\u001b[0m \u001b[38;5;124;03m ' 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_pipe_legacy\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 105\u001b[0m \u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 106\u001b[0m \u001b[43m \u001b[49m\u001b[43mformatter\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mformatter\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 107\u001b[0m \u001b[43m \u001b[49m\u001b[43mneato_no_op\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mneato_no_op\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 108\u001b[0m \u001b[43m \u001b[49m\u001b[43mquiet\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mquiet\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 109\u001b[0m \u001b[43m \u001b[49m\u001b[43mengine\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 110\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\graphviz\\_tools.py:171\u001b[0m, in \u001b[0;36mdeprecate_positional_args..decorator..wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 162\u001b[0m wanted \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mvalue\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m 163\u001b[0m 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\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mwanted\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m 167\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m as keyword arg(s)\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m 168\u001b[0m stacklevel\u001b[38;5;241m=\u001b[39mstacklevel,\n\u001b[0;32m 169\u001b[0m category\u001b[38;5;241m=\u001b[39mcategory)\n\u001b[1;32m--> 171\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\graphviz\\piping.py:121\u001b[0m, in \u001b[0;36mPipe._pipe_legacy\u001b[1;34m(self, format, renderer, formatter, neato_no_op, quiet, engine, encoding)\u001b[0m\n\u001b[0;32m 112\u001b[0m \u001b[38;5;129m@_tools\u001b[39m\u001b[38;5;241m.\u001b[39mdeprecate_positional_args(supported_number\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2\u001b[39m)\n\u001b[0;32m 113\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_pipe_legacy\u001b[39m(\u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m 114\u001b[0m \u001b[38;5;28mformat\u001b[39m: typing\u001b[38;5;241m.\u001b[39mOptional[\u001b[38;5;28mstr\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 119\u001b[0m engine: typing\u001b[38;5;241m.\u001b[39mOptional[\u001b[38;5;28mstr\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[0;32m 120\u001b[0m encoding: typing\u001b[38;5;241m.\u001b[39mOptional[\u001b[38;5;28mstr\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m typing\u001b[38;5;241m.\u001b[39mUnion[\u001b[38;5;28mbytes\u001b[39m, \u001b[38;5;28mstr\u001b[39m]:\n\u001b[1;32m--> 121\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_pipe_future\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 122\u001b[0m \u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 123\u001b[0m \u001b[43m \u001b[49m\u001b[43mformatter\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mformatter\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 124\u001b[0m \u001b[43m \u001b[49m\u001b[43mneato_no_op\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mneato_no_op\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 125\u001b[0m \u001b[43m \u001b[49m\u001b[43mquiet\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mquiet\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 126\u001b[0m \u001b[43m \u001b[49m\u001b[43mengine\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 127\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\graphviz\\piping.py:149\u001b[0m, in \u001b[0;36mPipe._pipe_future\u001b[1;34m(self, format, renderer, formatter, neato_no_op, quiet, engine, encoding)\u001b[0m\n\u001b[0;32m 146\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m encoding \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 147\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m codecs\u001b[38;5;241m.\u001b[39mlookup(encoding) \u001b[38;5;129;01mis\u001b[39;00m codecs\u001b[38;5;241m.\u001b[39mlookup(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mencoding):\n\u001b[0;32m 148\u001b[0m \u001b[38;5;66;03m# common case: both stdin and stdout need the same encoding\u001b[39;00m\n\u001b[1;32m--> 149\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_pipe_lines_string(\u001b[38;5;241m*\u001b[39margs, encoding\u001b[38;5;241m=\u001b[39mencoding, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m 150\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 151\u001b[0m raw \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_pipe_lines(\u001b[38;5;241m*\u001b[39margs, input_encoding\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mencoding, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\graphviz\\backend\\piping.py:212\u001b[0m, in \u001b[0;36mpipe_lines_string\u001b[1;34m(engine, format, input_lines, encoding, renderer, formatter, neato_no_op, quiet)\u001b[0m\n\u001b[0;32m 206\u001b[0m cmd \u001b[38;5;241m=\u001b[39m dot_command\u001b[38;5;241m.\u001b[39mcommand(engine, \u001b[38;5;28mformat\u001b[39m,\n\u001b[0;32m 207\u001b[0m renderer\u001b[38;5;241m=\u001b[39mrenderer,\n\u001b[0;32m 208\u001b[0m formatter\u001b[38;5;241m=\u001b[39mformatter,\n\u001b[0;32m 209\u001b[0m neato_no_op\u001b[38;5;241m=\u001b[39mneato_no_op)\n\u001b[0;32m 210\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m'\u001b[39m\u001b[38;5;124minput_lines\u001b[39m\u001b[38;5;124m'\u001b[39m: input_lines, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mencoding\u001b[39m\u001b[38;5;124m'\u001b[39m: encoding}\n\u001b[1;32m--> 212\u001b[0m proc \u001b[38;5;241m=\u001b[39m execute\u001b[38;5;241m.\u001b[39mrun_check(cmd, capture_output\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, quiet\u001b[38;5;241m=\u001b[39mquiet, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m 213\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m proc\u001b[38;5;241m.\u001b[39mstdout\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\graphviz\\backend\\execute.py:84\u001b[0m, in \u001b[0;36mrun_check\u001b[1;34m(cmd, input_lines, encoding, quiet, **kwargs)\u001b[0m\n\u001b[0;32m 82\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m 83\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m e\u001b[38;5;241m.\u001b[39merrno \u001b[38;5;241m==\u001b[39m errno\u001b[38;5;241m.\u001b[39mENOENT:\n\u001b[1;32m---> 84\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ExecutableNotFound(cmd) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n\u001b[0;32m 85\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m\n\u001b[0;32m 87\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m quiet \u001b[38;5;129;01mand\u001b[39;00m proc\u001b[38;5;241m.\u001b[39mstderr:\n", + "\u001b[1;31mExecutableNotFound\u001b[0m: failed to execute WindowsPath('dot'), make sure the Graphviz executables are on your systems' PATH" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "with open(\"tree.dot\") as f:\n", + " dot_graph = f.read()\n", + "\n", + "display(graphviz.Source(dot_graph))" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[WinError 2] 지정된 파일을 찾을 수 없습니다", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[37], line 3\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m# 생성된 .dot 파일을 .png로 변환\u001b[39;00m\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msubprocess\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m call\n\u001b[1;32m----> 3\u001b[0m \u001b[43mcall\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdot\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m-Tpng\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtree.dot\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m-o\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtree.png\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m-Gdpi=600\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 5\u001b[0m \u001b[38;5;66;03m# jupyter notebook에서 .png 직접 출력\u001b[39;00m\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mIPython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdisplay\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Image\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\subprocess.py:349\u001b[0m, in \u001b[0;36mcall\u001b[1;34m(timeout, *popenargs, **kwargs)\u001b[0m\n\u001b[0;32m 341\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcall\u001b[39m(\u001b[38;5;241m*\u001b[39mpopenargs, timeout\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m 342\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Run command with arguments. Wait for command to complete or\u001b[39;00m\n\u001b[0;32m 343\u001b[0m \u001b[38;5;124;03m timeout, then return the returncode attribute.\u001b[39;00m\n\u001b[0;32m 344\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 347\u001b[0m \u001b[38;5;124;03m retcode = call([\"ls\", \"-l\"])\u001b[39;00m\n\u001b[0;32m 348\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 349\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m Popen(\u001b[38;5;241m*\u001b[39mpopenargs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;28;01mas\u001b[39;00m p:\n\u001b[0;32m 350\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 351\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m p\u001b[38;5;241m.\u001b[39mwait(timeout\u001b[38;5;241m=\u001b[39mtimeout)\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\subprocess.py:951\u001b[0m, in \u001b[0;36mPopen.__init__\u001b[1;34m(self, args, bufsize, executable, stdin, stdout, stderr, preexec_fn, close_fds, shell, cwd, env, universal_newlines, startupinfo, creationflags, restore_signals, start_new_session, pass_fds, user, group, extra_groups, encoding, errors, text, umask)\u001b[0m\n\u001b[0;32m 947\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtext_mode:\n\u001b[0;32m 948\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstderr \u001b[38;5;241m=\u001b[39m io\u001b[38;5;241m.\u001b[39mTextIOWrapper(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstderr,\n\u001b[0;32m 949\u001b[0m encoding\u001b[38;5;241m=\u001b[39mencoding, errors\u001b[38;5;241m=\u001b[39merrors)\n\u001b[1;32m--> 951\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_child\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecutable\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpreexec_fn\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mclose_fds\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 952\u001b[0m \u001b[43m \u001b[49m\u001b[43mpass_fds\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 953\u001b[0m \u001b[43m \u001b[49m\u001b[43mstartupinfo\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcreationflags\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mshell\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 954\u001b[0m \u001b[43m \u001b[49m\u001b[43mp2cread\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mp2cwrite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 955\u001b[0m \u001b[43m \u001b[49m\u001b[43mc2pread\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mc2pwrite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 956\u001b[0m \u001b[43m \u001b[49m\u001b[43merrread\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merrwrite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 957\u001b[0m \u001b[43m \u001b[49m\u001b[43mrestore_signals\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 958\u001b[0m \u001b[43m \u001b[49m\u001b[43mgid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgids\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mumask\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 959\u001b[0m \u001b[43m \u001b[49m\u001b[43mstart_new_session\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 960\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[0;32m 961\u001b[0m \u001b[38;5;66;03m# Cleanup if the child failed starting.\u001b[39;00m\n\u001b[0;32m 962\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m f \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mfilter\u001b[39m(\u001b[38;5;28;01mNone\u001b[39;00m, (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstdin, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstdout, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstderr)):\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\subprocess.py:1420\u001b[0m, in \u001b[0;36mPopen._execute_child\u001b[1;34m(self, args, executable, preexec_fn, close_fds, pass_fds, cwd, env, startupinfo, creationflags, shell, p2cread, p2cwrite, c2pread, c2pwrite, errread, errwrite, unused_restore_signals, unused_gid, unused_gids, unused_uid, unused_umask, unused_start_new_session)\u001b[0m\n\u001b[0;32m 1418\u001b[0m \u001b[38;5;66;03m# Start the process\u001b[39;00m\n\u001b[0;32m 1419\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 1420\u001b[0m hp, ht, pid, tid \u001b[38;5;241m=\u001b[39m \u001b[43m_winapi\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mCreateProcess\u001b[49m\u001b[43m(\u001b[49m\u001b[43mexecutable\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1421\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# no special security\u001b[39;49;00m\n\u001b[0;32m 1422\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m 1423\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mint\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mclose_fds\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1424\u001b[0m \u001b[43m \u001b[49m\u001b[43mcreationflags\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1425\u001b[0m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1426\u001b[0m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1427\u001b[0m \u001b[43m \u001b[49m\u001b[43mstartupinfo\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1428\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 1429\u001b[0m \u001b[38;5;66;03m# Child is launched. Close the parent's copy of those pipe\u001b[39;00m\n\u001b[0;32m 1430\u001b[0m \u001b[38;5;66;03m# handles that only the child should have open. You need\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1433\u001b[0m \u001b[38;5;66;03m# pipe will not close when the child process exits and the\u001b[39;00m\n\u001b[0;32m 1434\u001b[0m \u001b[38;5;66;03m# ReadFile will hang.\u001b[39;00m\n\u001b[0;32m 1435\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_close_pipe_fds(p2cread, p2cwrite,\n\u001b[0;32m 1436\u001b[0m c2pread, c2pwrite,\n\u001b[0;32m 1437\u001b[0m errread, errwrite)\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [WinError 2] 지정된 파일을 찾을 수 없습니다" + ] + } + ], + "source": [ + "# 생성된 .dot 파일을 .png로 변환\n", + "from subprocess import call\n", + "call(['dot', '-Tpng', 'tree.dot', '-o', 'tree.png', '-Gdpi=600'])\n", + "\n", + "# jupyter notebook에서 .png 직접 출력\n", + "from IPython.display import Image\n", + "Image(filename = 'tree.png')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt \n", + "from sklearn import tree \n", + "plt.figure(figsize=(10, 6))\n", + "tree.plot_tree(rf_model.estimators_[3]) #가장 정확도가 높은 트리 \n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "pip install pydotplus" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "import os \n", + "os.environ[\"PATH\"] += os.pathsep + 'C:\\Program Files\\Graphviz\\bin'" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "ename": "InvocationException", + "evalue": "GraphViz's executables not found", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mInvocationException\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[29], line 7\u001b[0m\n\u001b[0;32m 5\u001b[0m dot_data\u001b[38;5;241m=\u001b[39mexport_graphviz(rf_model\u001b[38;5;241m.\u001b[39mestimators_[\u001b[38;5;241m3\u001b[39m], out_file\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, filled\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, rounded\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, special_characters\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m 6\u001b[0m graph\u001b[38;5;241m=\u001b[39mpydotplus\u001b[38;5;241m.\u001b[39mgraph_from_dot_data(dot_data)\n\u001b[1;32m----> 7\u001b[0m Image(\u001b[43mgraph\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate_png\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m)\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pydotplus\\graphviz.py:1797\u001b[0m, in \u001b[0;36mDot.__init__..\u001b[1;34m(f, prog)\u001b[0m\n\u001b[0;32m 1792\u001b[0m \u001b[38;5;66;03m# Automatically creates all the methods enabling the creation\u001b[39;00m\n\u001b[0;32m 1793\u001b[0m \u001b[38;5;66;03m# of output in any of the supported formats.\u001b[39;00m\n\u001b[0;32m 1794\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m frmt \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mformats:\n\u001b[0;32m 1795\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__setattr__\u001b[39m(\n\u001b[0;32m 1796\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcreate_\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m+\u001b[39m frmt,\n\u001b[1;32m-> 1797\u001b[0m \u001b[38;5;28;01mlambda\u001b[39;00m f\u001b[38;5;241m=\u001b[39mfrmt, prog\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprog: \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mprog\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mprog\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1798\u001b[0m )\n\u001b[0;32m 1799\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__dict__\u001b[39m[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcreate_\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m+\u001b[39m frmt]\n\u001b[0;32m 1800\u001b[0m f\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__doc__\u001b[39m \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m 1801\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m'''Refer to the docstring accompanying the'''\u001b[39;00m\n\u001b[0;32m 1802\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m''''create' method for more information.'''\u001b[39;00m\n\u001b[0;32m 1803\u001b[0m )\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pydotplus\\graphviz.py:1959\u001b[0m, in \u001b[0;36mDot.create\u001b[1;34m(self, prog, format)\u001b[0m\n\u001b[0;32m 1957\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprogs \u001b[38;5;241m=\u001b[39m find_graphviz()\n\u001b[0;32m 1958\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprogs \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m-> 1959\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m InvocationException(\n\u001b[0;32m 1960\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mGraphViz\u001b[39m\u001b[38;5;130;01m\\'\u001b[39;00m\u001b[38;5;124ms executables not found\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 1962\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m prog \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprogs:\n\u001b[0;32m 1963\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m InvocationException(\n\u001b[0;32m 1964\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mGraphViz\u001b[39m\u001b[38;5;130;01m\\'\u001b[39;00m\u001b[38;5;124ms executable \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m not found\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m%\u001b[39m prog)\n", + "\u001b[1;31mInvocationException\u001b[0m: GraphViz's executables not found" + ] + } + ], + "source": [ + "from sklearn.tree import export_graphviz\n", + "import pydotplus \n", + "import graphviz\n", + "from IPython.display import Image \n", + "dot_data=export_graphviz(rf_model.estimators_[3], out_file=None, filled=True, rounded=True, special_characters=True)\n", + "graph=pydotplus.graph_from_dot_data(dot_data)\n", + "Image(graph.create_png())" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "ename": "ImportError", + "evalue": "\n`load_boston` has been removed from scikit-learn since version 1.2.\n\nThe Boston housing prices dataset has an ethical problem: as\ninvestigated in [1], the authors of this dataset engineered a\nnon-invertible variable \"B\" assuming that racial self-segregation had a\npositive impact on house prices [2]. Furthermore the goal of the\nresearch that led to the creation of this dataset was to study the\nimpact of air quality but it did not give adequate demonstration of the\nvalidity of this assumption.\n\nThe scikit-learn maintainers therefore strongly discourage the use of\nthis dataset unless the purpose of the code is to study and educate\nabout ethical issues in data science and machine learning.\n\nIn this special case, you can fetch the dataset from the original\nsource::\n\n import pandas as pd\n import numpy as np\n\n data_url = \"http://lib.stat.cmu.edu/datasets/boston\"\n raw_df = pd.read_csv(data_url, sep=\"\\s+\", skiprows=22, header=None)\n data = np.hstack([raw_df.values[::2, :], raw_df.values[1::2, :2]])\n target = raw_df.values[1::2, 2]\n\nAlternative datasets include the California housing dataset and the\nAmes housing dataset. You can load the datasets as follows::\n\n from sklearn.datasets import fetch_california_housing\n housing = fetch_california_housing()\n\nfor the California housing dataset and::\n\n from sklearn.datasets import fetch_openml\n housing = fetch_openml(name=\"house_prices\", as_frame=True)\n\nfor the Ames housing dataset.\n\n[1] M Carlisle.\n\"Racist data destruction?\"\n\n\n[2] Harrison Jr, David, and Daniel L. Rubinfeld.\n\"Hedonic housing prices and the demand for clean air.\"\nJournal of environmental economics and management 5.1 (1978): 81-102.\n\n", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mImportError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[38], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmglearn\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\mglearn\\__init__.py:1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m plots\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m tools\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mplots\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m cm3, cm2\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\mglearn\\plots.py:5\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mplot_animal_tree\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m plot_animal_tree\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mplot_rbf_svm_parameters\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m plot_svm\n\u001b[1;32m----> 5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mplot_knn_regression\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m plot_knn_regression\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mplot_knn_classification\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m plot_knn_classification\n\u001b[0;32m 7\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mplot_2d_separator\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m plot_2d_classification, plot_2d_separator\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\mglearn\\plot_knn_regression.py:7\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mneighbors\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m KNeighborsRegressor\n\u001b[0;32m 5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmetrics\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m euclidean_distances\n\u001b[1;32m----> 7\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdatasets\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m make_wave\n\u001b[0;32m 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mplot_helpers\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m cm3\n\u001b[0;32m 11\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mplot_knn_regression\u001b[39m(n_neighbors\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m):\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\mglearn\\datasets.py:5\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mos\u001b[39;00m\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mscipy\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m signal\n\u001b[1;32m----> 5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdatasets\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m load_boston\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpreprocessing\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m MinMaxScaler, PolynomialFeatures\n\u001b[0;32m 7\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmake_blobs\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m make_blobs\n", + "File \u001b[1;32mc:\\Users\\sk002\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\sklearn\\datasets\\__init__.py:157\u001b[0m, in \u001b[0;36m__getattr__\u001b[1;34m(name)\u001b[0m\n\u001b[0;32m 108\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mload_boston\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m 109\u001b[0m msg \u001b[38;5;241m=\u001b[39m textwrap\u001b[38;5;241m.\u001b[39mdedent(\u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[0;32m 110\u001b[0m \u001b[38;5;124m `load_boston` has been removed from scikit-learn since version 1.2.\u001b[39m\n\u001b[0;32m 111\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 155\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[0;32m 156\u001b[0m \u001b[38;5;124m \u001b[39m\u001b[38;5;124m\"\"\"\u001b[39m)\n\u001b[1;32m--> 157\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m(msg)\n\u001b[0;32m 158\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 159\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mglobals\u001b[39m()[name]\n", + "\u001b[1;31mImportError\u001b[0m: \n`load_boston` has been removed from scikit-learn since version 1.2.\n\nThe Boston housing prices dataset has an ethical problem: as\ninvestigated in [1], the authors of this dataset engineered a\nnon-invertible variable \"B\" assuming that racial self-segregation had a\npositive impact on house prices [2]. Furthermore the goal of the\nresearch that led to the creation of this dataset was to study the\nimpact of air quality but it did not give adequate demonstration of the\nvalidity of this assumption.\n\nThe scikit-learn maintainers therefore strongly discourage the use of\nthis dataset unless the purpose of the code is to study and educate\nabout ethical issues in data science and machine learning.\n\nIn this special case, you can fetch the dataset from the original\nsource::\n\n import pandas as pd\n import numpy as np\n\n data_url = \"http://lib.stat.cmu.edu/datasets/boston\"\n raw_df = pd.read_csv(data_url, sep=\"\\s+\", skiprows=22, header=None)\n data = np.hstack([raw_df.values[::2, :], raw_df.values[1::2, :2]])\n target = raw_df.values[1::2, 2]\n\nAlternative datasets include the California housing dataset and the\nAmes housing dataset. You can load the datasets as follows::\n\n from sklearn.datasets import fetch_california_housing\n housing = fetch_california_housing()\n\nfor the California housing dataset and::\n\n from sklearn.datasets import fetch_openml\n housing = fetch_openml(name=\"house_prices\", as_frame=True)\n\nfor the Ames housing dataset.\n\n[1] M Carlisle.\n\"Racist data destruction?\"\n\n\n[2] Harrison Jr, David, and Daniel L. Rubinfeld.\n\"Hedonic housing prices and the demand for clean air.\"\nJournal of environmental economics and management 5.1 (1978): 81-102.\n\n" + ] + } + ], + "source": [ + "import mglearn" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'mglearn' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[39], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m tree \u001b[38;5;241m=\u001b[39m \u001b[43mmglearn\u001b[49m\u001b[38;5;241m.\u001b[39mplots\u001b[38;5;241m.\u001b[39mplot_tree_not_monotone()\n\u001b[0;32m 2\u001b[0m display(tree)\n", + "\u001b[1;31mNameError\u001b[0m: name 'mglearn' is not defined" + ] + } + ], + "source": [ + "tree = mglearn.plots.plot_tree_not_monotone()\n", + "display(tree)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/ai/UpdateUserStatus.py b/ai/UpdateUserStatus.py new file mode 100644 index 00000000..862f10f0 --- /dev/null +++ b/ai/UpdateUserStatus.py @@ -0,0 +1,43 @@ +import pandas as pd +import sys +from sklearn.tree import DecisionTreeClassifier +from io import StringIO +import pickle + + +# 저장된 예측 모델 불러오기 +# 랜덤 포레스트 모델 사용 +model_filename = 'random_forest_model.pkl' +with open(model_filename, 'rb') as model_file: + model = pickle.load(model_file) + +# 예측 함수 +def predict(data): + # 전처리한 데이터를 입력으로 사용 + + prediction = model.predict(data) + return prediction + +# 전처리 함수 +def preprocessing(data): + # 클라이언트에서 넘어온 데이터를 입력으로 사용 + # ,로 구분된 한 줄 짜리 데이터 + data = pd.read_csv(StringIO(data), header=None, names=['시간', 'x1', 'y1', 'z1', 'x2', 'y2', 'z2', 'x3', 'y3', 'z3']) + data = data.drop(['시간'], axis=1) + + return data + +if __name__ == '__main__': + # 파일 경로 가져오기 + # 지금은 데이터가 저장된 파일의 경로를 실행할 때 입력 + # 추후 수정 가능 + file_path = sys.argv[1] + + f = open(file_path, 'r') + data = f.read() + f.close() + + prepro_data = preprocessing(data) + res = predict(prepro_data) + + print(res) diff --git a/ai/random_forest_model.pkl b/ai/random_forest_model.pkl new file mode 100644 index 00000000..286855d4 Binary files /dev/null and b/ai/random_forest_model.pkl differ diff --git a/ai/random_forest_model_mk2.pkl b/ai/random_forest_model_mk2.pkl new file mode 100644 index 00000000..1e423ab2 Binary files /dev/null and b/ai/random_forest_model_mk2.pkl differ diff --git a/ai/random_forest_model_mk3.pkl b/ai/random_forest_model_mk3.pkl new file mode 100644 index 00000000..5024f997 Binary files /dev/null and b/ai/random_forest_model_mk3.pkl differ diff --git a/ai/tree.dot b/ai/tree.dot new file mode 100644 index 00000000..61bcacec --- /dev/null +++ b/ai/tree.dot @@ -0,0 +1,41 @@ +digraph Tree { +node [shape=box, style="filled, rounded", color="black", fontname="helvetica"] ; +edge [fontname="helvetica"] ; +0 [label="x[7] <= -419.685\ngini = 0.716\nsamples = 3157\nvalue = [1981, 1187, 872, 874]\nclass = 1", fillcolor="#f9e4d5"] ; +1 [label="x[0] <= -0.575\ngini = 0.021\nsamples = 312\nvalue = [0, 5, 476, 0]\nclass = 3", fillcolor="#3b9ee5"] ; +0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ; +2 [label="gini = 0.0\nsamples = 310\nvalue = [0, 0, 476, 0]\nclass = 3", fillcolor="#399de5"] ; +1 -> 2 ; +3 [label="gini = 0.0\nsamples = 2\nvalue = [0, 5, 0, 0]\nclass = 2", fillcolor="#47e539"] ; +1 -> 3 ; +4 [label="x[2] <= 9.155\ngini = 0.682\nsamples = 2845\nvalue = [1981, 1182, 396, 874]\nclass = 1", fillcolor="#f9e0ce"] ; +0 -> 4 [labeldistance=2.5, labelangle=-45, headlabel="False"] ; +5 [label="x[8] <= 381.515\ngini = 0.711\nsamples = 1688\nvalue = [489, 958, 323, 834]\nclass = 2", fillcolor="#f2fdf1"] ; +4 -> 5 ; +6 [label="x[8] <= 187.73\ngini = 0.696\nsamples = 1374\nvalue = [451, 958, 323, 405]\nclass = 2", fillcolor="#c8f7c3"] ; +5 -> 6 ; +7 [label="(...)", fillcolor="#C0C0C0"] ; +6 -> 7 ; +254 [label="(...)", fillcolor="#C0C0C0"] ; +6 -> 254 ; +257 [label="x[0] <= 2.61\ngini = 0.149\nsamples = 314\nvalue = [38, 0, 0, 429]\nclass = 4", fillcolor="#db4be7"] ; +5 -> 257 ; +258 [label="(...)", fillcolor="#C0C0C0"] ; +257 -> 258 ; +261 [label="(...)", fillcolor="#C0C0C0"] ; +257 -> 261 ; +262 [label="x[2] <= 9.825\ngini = 0.317\nsamples = 1157\nvalue = [1492, 224, 73, 40]\nclass = 1", fillcolor="#ea9b63"] ; +4 -> 262 ; +263 [label="x[4] <= 0.005\ngini = 0.193\nsamples = 1043\nvalue = [1475, 94, 53, 25]\nclass = 1", fillcolor="#e88f4f"] ; +262 -> 263 ; +264 [label="(...)", fillcolor="#C0C0C0"] ; +263 -> 264 ; +325 [label="(...)", fillcolor="#C0C0C0"] ; +263 -> 325 ; +368 [label="x[1] <= 0.11\ngini = 0.462\nsamples = 114\nvalue = [17, 130, 20, 15]\nclass = 2", fillcolor="#82ed79"] ; +262 -> 368 ; +369 [label="(...)", fillcolor="#C0C0C0"] ; +368 -> 369 ; +376 [label="(...)", fillcolor="#C0C0C0"] ; +368 -> 376 ; +} \ No newline at end of file diff --git a/backend/fastapi/Dockerfile b/backend/fastapi/Dockerfile new file mode 100644 index 00000000..229b9de0 --- /dev/null +++ b/backend/fastapi/Dockerfile @@ -0,0 +1,14 @@ +# base image +FROM python:3.9 + +# set work directory +WORKDIR /usr/src/app + +# copy source code to work directory +COPY . . + +# install dependencies +RUN pip install --no-cache-dir -r requirements.txt + +# command to run on container start +CMD ["uvicorn", "run:app", "--host", "0.0.0.0", "--port", "5000"] diff --git 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b/backend/fastapi/README.md @@ -0,0 +1,147 @@ +# Reverse Proxy + +- 웹 서버 앞에 위치하여 클라이언트 요청을 웹 서버에 전달하는 것 +- 보안, 성능, 안정성을 향상하기 위해 구성 + +# Proxy server + +- 클라이언트 시스템 그룹 앞에 위치하는 서버 +- 인터넷 사이트 및 서비스에 요청하면 프록시 서버가 이 요청을 가로채고 중개자처럼 대신하여 웹서버와 통신 + +# 정방향 프록시 VS 역방향 프록시 + +![Untitled](Ngnix/Untitled.png) + +![Untitled](Ngnix/Untitled%201.png) + +- 역방향 프록시는 클라이언트의 요청을 프록시 서버가 대신 받아 요청을 처리해줌 +- 부하 분산 + - 단일 원본 서버로 들어오는 모든 트래픽을 처리하지 못하는 것을 방지하고자 동일한 사이트에 대한 요청을 다른 서버 풀에 분산해줌 +- 공격으로부터 보호 + - 원본 서버의 ip주소를 공개할 필요가 없으므로 DDos 공격과 같은 표적 공격으로 부터 보호하기 쉬움 +- 전역 서버 부하 분산 + - 분산되어 있는 서버중 역방향 프록시는 클라이언트를 지리적으로 가장 가까운 서버로 전송 + - 요청과 응답의 이동 거리가 줄어들어 로드 시간이 감소 +- 캐싱 + - 응답 데이터를 캐시(임시 저장)하여 후속 사용자는 캐시된 버전을 사용하여 성능이 향상 +- SSL 암호화 + - 모든 요청을 해독하고 나가는 모든 응답을 암호화 + +# HTTPS 인증서 발급 + +## snap을 사용하여 설치 + +```bash +sudo apt update +sudo apt install snapd # snap 설치 + +sudo snap install hello-world # 제대로 설치되었는지 확인 +hello-world 6.4 from Canonical✓ installed +hello-world +Hello World! +``` + +## Certbot 설치 + +```bash +sudo snap install --classic certbot +``` + +## Cerbot 실행 + +```bash +sudo certbot --nginx # certbot이 nginx 설정을 자동으로 변경 +sudo certbot certonly --nginx # 사용자가 nginx 설정을 따로 해주어야 함 +``` + +## https 설정 + +### 도메인 구입 + +- 가비아에서 도메인 www.whereareu.shop을 구매하고 ec2서버의 ip주소를 할당하였다. + + ![스크린샷 2024-04-09 오후 2.28.05.png](Ngnix/%25E1%2584%2589%25E1%2585%25B3%25E1%2584%258F%25E1%2585%25B3%25E1%2584%2585%25E1%2585%25B5%25E1%2586%25AB%25E1%2584%2589%25E1%2585%25A3%25E1%2586%25BA_2024-04-09_%25E1%2584%258B%25E1%2585%25A9%25E1%2584%2592%25E1%2585%25AE_2.28.05.png) + + ![스크린샷 2024-04-09 오후 2.28.38.png](Ngnix/%25E1%2584%2589%25E1%2585%25B3%25E1%2584%258F%25E1%2585%25B3%25E1%2584%2585%25E1%2585%25B5%25E1%2586%25AB%25E1%2584%2589%25E1%2585%25A3%25E1%2586%25BA_2024-04-09_%25E1%2584%258B%25E1%2585%25A9%25E1%2584%2592%25E1%2585%25AE_2.28.38.png) + + +### EC2 고정 ip + +- DNS서버에 도메인 정보가 등록되는데 약 2시간이 걸리는데 인스턴스를 중지할 때마다 시간낭비가 심하다 +- EC2서버를 중지해도 ip주소가 변경되지 않도록 탄력적 ip 주소를 사용하였다. + +- EC2→ 네트워크 및 보안 → 탄력적 IP + + ![스크린샷 2024-04-09 오후 2.16.25.png](Ngnix/%25E1%2584%2589%25E1%2585%25B3%25E1%2584%258F%25E1%2585%25B3%25E1%2584%2585%25E1%2585%25B5%25E1%2586%25AB%25E1%2584%2589%25E1%2585%25A3%25E1%2586%25BA_2024-04-09_%25E1%2584%258B%25E1%2585%25A9%25E1%2584%2592%25E1%2585%25AE_2.16.25.png) + + +- 탄력적 IP 주소 할당 + + ![스크린샷 2024-04-09 오후 2.20.57.png](Ngnix/%25E1%2584%2589%25E1%2585%25B3%25E1%2584%258F%25E1%2585%25B3%25E1%2584%2585%25E1%2585%25B5%25E1%2586%25AB%25E1%2584%2589%25E1%2585%25A3%25E1%2586%25BA_2024-04-09_%25E1%2584%258B%25E1%2585%25A9%25E1%2584%2592%25E1%2585%25AE_2.20.57.png) + +- 모두 기본 설정으로 하고 할당을 한다. + + ![스크린샷 2024-04-09 오후 2.21.52.png](Ngnix/%25E1%2584%2589%25E1%2585%25B3%25E1%2584%258F%25E1%2585%25B3%25E1%2584%2585%25E1%2585%25B5%25E1%2586%25AB%25E1%2584%2589%25E1%2585%25A3%25E1%2586%25BA_2024-04-09_%25E1%2584%258B%25E1%2585%25A9%25E1%2584%2592%25E1%2585%25AE_2.21.52.png) + +- 해당 과정을 거치면 인스턴스를 중지하더라도 ip주소가 바뀌지 않아 도메인에 매핑을 다시 시켜주지 않아도 된다. + +### Certbot으로 SSL 인증 + +- DNS서버에 도메인이 안정적으로 등록이 되었다면 해당 코드를 실행하여 SSL 인증서를 받아야한다. + +```bash +sudo certbot --nginx # certbot이 nginx 설정을 자동으로 변경 +sudo certbot certonly --nginx # 사용자가 nginx 설정을 따로 해주어야 함 +``` + +# NGINX 설치 + +## 필수 패키지 설치 + +```bash +sudo apt install curl gnupg2 ca-certificates lsb-release ubuntu-keyring +``` + +## Nginx apt 저장소 공개키 다운로드 + +```bash +curl https://nginx.org/keys/nginx_signing.key | gpg --dearmor \ + | sudo tee /usr/share/keyrings/nginx-archive-keyring.gpg >/dev/null +``` + +## 유효한 공개키인지 검사 + +```bash +gpg --dry-run --quiet --no-keyring --import --import-options + import-show /usr/share/keyrings/nginx-archive-keyring.gpg +``` + +- fingerprint가 `573BFD6B3D8FBC641079A6ABABF5BD827BD9BF62`과 같은지 확인 + +## Nginx apt 저장소 세팅 + +```bash +echo "deb [signed-by=/usr/share/keyrings/nginx-archive-keyring.gpg] \ +http://nginx.org/packages/ubuntu `lsb_release -cs` nginx" \ + | sudo tee /etc/apt/sources.list.d/nginx.list +``` + +## 패키지 저장소 우선순위 변경 + +```bash +echo -e "Package: *\nPin: origin nginx.org\nPin: release o=nginx\nPin-Priority: 900\n" \ + | sudo tee /etc/apt/preferences.d/99nginx +``` + +## Nginx 설치 + +```bash +sudo apt upadate +sudo apt install nginx + +sudo systemctl restart nginx #설정을 바꾸면 무조건 재시작을 해주어야 한다. +sudo systemctl start nginx #nginx 실행 +sudo systemctl stop nginx #nginx 중지 +``` + +![Untitled](Ngnix/Untitled%202.png) \ No newline at end of file diff --git a/backend/fastapi/app/LocationAnalyzer.py b/backend/fastapi/app/LocationAnalyzer.py new file mode 100644 index 00000000..77336cc3 --- /dev/null +++ b/backend/fastapi/app/LocationAnalyzer.py @@ -0,0 +1,138 @@ +from pyclustering.cluster.gmeans import gmeans +from collections import Counter +import numpy as np +import pandas as pd +<<<<<<<< HEAD:ai/LocationAnalyzer.py +import os +import sys +from pyclustering.cluster.gmeans import gmeans +======== +import warnings + +warnings.simplefilter(action='ignore', category=FutureWarning) # FutureWarning 제거 + +pd.set_option('mode.chained_assignment', None) +>>>>>>>> develop_back:backend/fastapi/app/LocationAnalyzer.py + +class LocationAnalyzer: + def __init__(self, filename): + self.df = self.fileReader(filename) + + # 파일 읽기 + # 데이터 예시 (39.984702,116.318417,0,492,39744.1201851852,2008-10-23,02:53:04) + # (위도, 경도, 0, 고도, 1899년 이후 경과한 시간, 날짜, 시간) + def fileReader(self, filename): + + latitude = [] # 위도 + longitude = [] # 경도 + date = [] # 날짜 + time = [] # 시간 + + with open(filename, 'r') as file: + data = file.read() + + # 데이터에 불필요한 부분 제거 + # 추후 데이터 형식에 따라 수정 필요 * + data = data.split('\n')[:-1] +<<<<<<<< HEAD:ai/LocationAnalyzer.py +======== + # data = data.split('\n')[6:-1] +>>>>>>>> develop_back:backend/fastapi/app/LocationAnalyzer.py + for i in range(len(data)): + line = data[i].split(',') + latitude.append(line[0]) # 위도 + longitude.append(line[1]) # 경도 +<<<<<<<< HEAD:ai/LocationAnalyzer.py + date.append(line[5]) # 날짜 + time.append(line[6]) # 시간 + +======== + date.append(line[2]) # 날짜 + time.append(line[3]) # 시간 + # date.append(line[5]) + # time.append(line[6]) +>>>>>>>> develop_back:backend/fastapi/app/LocationAnalyzer.py + df = pd.DataFrame({"latitude":latitude, "longitude":longitude, "date":date, "time":time}) + + + df['latitude'] = df['latitude'].astype(float) + df['longitude'] = df['longitude'].astype(float) + df['datetime'] = pd.to_datetime(df['date'] + ' ' + df['time'], format='%Y-%m-%d %H:%M:%S') + df['datetime'] = df['datetime'].dt.floor('T') + # 시간대와 요일 추가 + # 시간대 형식 : f00t04 f20t24 + # 4시간 단위로 분리 + df['hour_block'] = ((df['datetime'].dt.hour) // 4 * 4).astype(str).str.zfill(2) + ((df['datetime'].dt.hour + 4) // 4 * 4).astype(str).str.zfill(2) + df['day_of_week'] = df['datetime'].dt.day_name() + df = df.drop(['date', 'time'], axis=1) + df = df.drop_duplicates(['datetime'], ignore_index=True) + + return df + + # 의미장소 추출 + def gmeansFit(self, df): + # 두 열을 선택하고 넘파이 배열로 변환 + selectedColumns = ['latitude', 'longitude'] + resultList = df[selectedColumns].values.tolist() # 리스트로 변환 + + gmeansInstance = gmeans(resultList).process() # 클러스터링 + + centers = gmeansInstance.get_centers() # 클러스터의 중심 (의미장소) + clusters = gmeansInstance.get_clusters() # 분류된 클러스터 + + + return clusters, centers + + # 호출 함수 + def gmeansFunc(self): + + + clusters, centers = self.gmeansFit(self.df) + + data_df = pd.DataFrame({"clusters":clusters, "centers":centers}) + + for k in range(len(data_df.clusters)): + if (len(data_df.clusters[k]) < 10): + data_df.drop(index=k, inplace=True) + data_df = data_df.sort_index(axis=1) + data_df = data_df.reset_index(drop=True) + + self.df['clusterNo'] = -1 + for i in range(len(data_df)): + for j in range(len(data_df['clusters'].iloc[i])): + k = data_df['clusters'].iloc[i][j] + self.df['clusterNo'].iloc[k] = i + +<<<<<<<< HEAD:ai/LocationAnalyzer.py + return result + +if __name__ == '__main__': + # 파일 경로 가져오기 + # 지금은 데이터가 저장된 파일의 경로를 실행할 때 입력 + filePath = r"C:\Users\sk002\OneDrive\바탕 화면\학교\Yoodori\testdata.txt" + la = LocationAnalyzer(filePath) + + data = la.gmeansFunc() + + print(data) + +======== + self.df = self.df[self.df['clusterNo'] != -1] + + + data_df['hour_block'] = 0 + data_df['day_of_week'] = 0 + for i in range(max(self.df['clusterNo'])+1): + + counter = Counter(self.df[self.df['clusterNo'] == i]['hour_block']) + most_hour_value = counter.most_common(1)[0][0] + + counter = Counter(self.df[self.df['clusterNo'] == i]['day_of_week']) + most_day_value = counter.most_common(1)[0][0] + + data_df['hour_block'].iloc[i] = most_hour_value + data_df['day_of_week'].iloc[i] = most_day_value + + data_list = data_df.values.tolist() + return data_list +>>>>>>>> develop_back:backend/fastapi/app/LocationAnalyzer.py diff --git a/backend/fastapi/app/LocationPredict.py b/backend/fastapi/app/LocationPredict.py new file mode 100644 index 00000000..a5590081 --- /dev/null +++ b/backend/fastapi/app/LocationPredict.py @@ -0,0 +1,533 @@ +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +import tensorflow as tf +import json +import math +import folium +import tensorflow.keras.backend as K +from tensorflow import keras +from scipy.spatial import distance +from sklearn.metrics.pairwise import haversine_distances +from tensorflow.keras.layers import Dense +from tensorflow.keras.layers import LSTM +from tensorflow.keras.layers import Dropout +from tensorflow.keras.layers import Activation +from tensorflow.keras.models import Sequential +from tensorflow.keras.optimizers import Adam +from tensorflow.keras.losses import MSE +from tensorflow.keras.callbacks import EarlyStopping +from tensorflow.keras.callbacks import ModelCheckpoint +from tensorflow.keras.callbacks import ReduceLROnPlateau +from tensorflow.keras.utils import to_categorical +from pyclustering.cluster.gmeans import gmeans +from collections import Counter + +import os + +os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' + +class ForecastLSTMClassification: + + def __init__(self, + class_num: int, + random_seed: int = 1234): + self.random_seed = random_seed + self.class_num = class_num + + def reshape_dataset(self, + df: pd.DataFrame) -> np.array: + dataset = df.values.reshape(df.shape) + return dataset + + def split_sequences(self, + dataset: np.array, + seq_len: int, + steps: int, + single_output: bool) -> tuple: + + # feature와 y 각각 sequential dataset을 반환할 리스트 + X, y = list(), list() + # sequence length와 step에 따라 생성 + for i, _ in enumerate(dataset): + idx_in = i + seq_len + idx_out = idx_in + steps + if idx_out > len(dataset): + break + seq_x = dataset[i:idx_in, :-1] + if single_output: + seq_y = dataset[idx_out -1 : idx_out, -1] + else: + seq_y = dataset[idx_in:idx_out, -1] + + X.append(seq_x) + y.append(seq_y) + X = np.array(X) + y = np.array(y) + print(X.shape) + print(y.shape) + return X, y + + def split_sequences(self, + dataset: np.array, + seq_len: int, + steps: int, + single_output: bool) -> tuple: + X, y = list(), list() + for i in range(len(dataset) - seq_len - steps + 1): + idx_in = i + seq_len + idx_out = idx_in + steps # 모델의 출력 길이에 맞춘 고정값 설정 + + if idx_out > len(dataset): + break + + seq_x = dataset[i:idx_in, :-1] + seq_y = dataset[idx_in:idx_out, -1] + + X.append(seq_x) + y.append(seq_y) + + X = np.array(X) + y = np.array(y) + print(X.shape) + print(y.shape) + return X, y + + def split_train_valid_dataset(self, + df: pd.DataFrame, + seq_len: int, + steps: int, + single_output: bool, + validation_split: float = 0.2, + verbose: bool = True) -> tuple: + # df -> np.array + dataset = self.reshape_dataset(df=df) + + # feature, y를 sequential dataset으로 분리 + X, y = self.split_sequences( + dataset=dataset, + seq_len=seq_len, + steps=steps, + single_output=single_output + ) + + # X, y에서 validation dataset 분리 + dataset_size = len(X) + train_size = int(dataset_size * (1-validation_split)) + X_train, y_train = X[:train_size, :], y[:train_size, :] + X_val, y_val = X[train_size:, :], y[train_size:, :] + + # 원핫인코딩 + if not single_output and self.class_num > 1: + y_train = to_categorical(y_train, num_classes=self.class_num) + y_val = to_categorical(y_val, num_classes=self.class_num) + + if verbose: + print(f" >>> X_train: {X_train.shape}") + print(f" >>> y_train: {y_train.shape}") + print(f" >>> X_val: {X_val.shape}") + print(f" >>> y_val: {y_val.shape}") + return X_train, y_train, X_val, y_val + + def build_and_compile_lstm_model(self, + seq_len: int, + n_features: int, + lstm_units: list, + learning_rate: float, + dropout: float, + steps: int, + metrics: list, + single_output: bool, + last_lstm_return_sequences: bool = False, + dense_units: list = None, + activation: str = None): + tf.random.set_seed(self.random_seed) + + model = Sequential() + + # LSTM 레이어 추가 + model.add(LSTM(64, input_shape=(seq_len, n_features), return_sequences=True)) + + # Dense 레이어 추가하여 출력 형태를 변경 + model.add(Dense(self.class_num)) # 출력 레이어의 뉴런 개수를 2로 설정 + + optimizer = Adam(learning_rate=learning_rate) + model.compile(optimizer=optimizer, loss='categorical_crossentropy', metrics=metrics) + return model + + def fit_lstm(self, + df: pd.DataFrame, + steps: int, + lstm_units: list, + activation: str, + dropout: float = 0, + seq_len: int = 10, + single_output: bool = False, + epochs: int = 50, + batch_size: int = None, + steps_per_epoch: int = None, + learning_rate: float = 0.001, + patience: int = 10, + validation_split: float = 0.2, + last_lstm_return_sequences: bool = False, + dense_units: list = None, + metrics: list = ["mse"], + check_point_path: str = None, + verbose: bool = False, + plot: bool = True): + + np.random.seed(self.random_seed) + tf.random.set_seed(self.random_seed) + ( + self.X_train, + self.y_train, + self.X_val, + self.y_val + ) = self.split_train_valid_dataset( + df=df, + seq_len=seq_len, + steps=steps, + validation_split=validation_split, + single_output=single_output, + verbose=verbose + ) + + n_features = df.shape[1] - 1 + self.model = self.build_and_compile_lstm_model( + seq_len=seq_len, + n_features=n_features, + lstm_units=lstm_units, + activation=activation, + learning_rate=learning_rate, + dropout=dropout, + steps=steps, + last_lstm_return_sequences=last_lstm_return_sequences, + dense_units=dense_units, + metrics=metrics, + single_output=single_output, + ) + + # best model save + if check_point_path is not None: + checkpoint_path = f"checkpoint/lstm_{check_point_path}.h5" + checkpoint = ModelCheckpoint( + filepath=checkpoint_path, + save_weights_only=False, + save_best_only=True, + monitor="val_loss", + verbose=verbose, + ) + rlr = ReduceLROnPlateau( + monitor="val_loss", factor=0.5, patience=patience, verbose=verbose + ) + callbacks = [checkpoint, EarlyStopping(patience=patience), rlr] + else: + rlr = ReduceLROnPlateau( + monitor="val_loss", factor=0.5, patience=patience, verbose=verbose + ) + callbacks = [EarlyStopping(patience=patience), rlr] + + self.history = self.model.fit( + self.X_train, + self.y_train, + batch_size=batch_size, + steps_per_epoch=steps_per_epoch, + validation_data=(self.X_val, self.y_val), + epochs=epochs, + verbose=verbose, + callbacks=callbacks, + shuffle=False, + ) + + if check_point_path is not None: + self.model.load_weights(f"checkpoint/lstm_{check_point_path}.h5") + + return self.model + + def forecast_validation_dataset(self) -> pd.DataFrame: + y_pred_list, y_val_list = list(), list() + + for x_val, y_val in zip(self.X_val, self.y_val): + x_val = np.expand_dims( + x_val, axis=0 + ) # (seq_len, n_features) -> (1, seq_len, n_features) + y_pred = self.model.predict(x_val)[0] + y_pred_list.extend(y_pred.tolist()) + y_val_list.extend(y_val.tolist()) + return pd.DataFrame({"y": y_val_list, "yhat": y_pred_list}) + + def combine_windows(self, predicted_values, original_length, seq_len): + # 초기화 + prediction = np.zeros(original_length) + counts = np.zeros(original_length) + + num_predictions = predicted_values.shape[0] + + for i in range(num_predictions): + start_index = i + end_index = i + seq_len + prediction[start_index:end_index] += predicted_values[i] + counts[start_index:end_index] += 1 + + # 중첩된 부분을 평균화 + counts[counts == 0] = 1 # division by zero 방지 + prediction /= counts + + return prediction + + def pred(self, + df: pd.DataFrame, + steps: int, + num_classes: int, # 클래스 수 추가 + seq_len: int = 10, + single_output: bool = False): + + np.random.seed(self.random_seed) + tf.random.set_seed(self.random_seed) + + # 데이터셋 변환 + dataset = self.reshape_dataset(df=df) + + # feature, y를 sequential dataset으로 분리 + X_test, y_test = self.split_sequences( + dataset=dataset, + seq_len=seq_len, + steps=steps, + single_output=single_output + ) + + # 원-핫 인코딩 처리 + y_test_encoded = to_categorical(y_test, num_classes=num_classes) + + # 예측 수행 + y_pred = self.model.predict(X_test) + y_pred = np.array(y_pred) + + # 성능 평가 + loss, accuracy = self.model.evaluate(X_test, y_test_encoded) + + print(f"y_test: {y_test}") + print(f"loss: {loss}") + print(f"acc: {accuracy}") + + y_pred = np.argmax(y_pred, axis=-1) + + y_pred = self.combine_windows(y_pred, len(df), seq_len) + + return y_pred + +# 전처리 +class Preprocessing: + def __init__(self, csv) -> None: + self.df = pd.DataFrame() + self.fileReader(csv) + + def convert_day_to_number(self, day): + weekdays = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'] + return weekdays.index(day) + + def custom_parser(self, date_string): + return pd.to_datetime(date_string, format='%Y-%m-%d') # 날짜 형식에 맞게 지정 + + def fileReader(self, csv_path): + #data = pd.read_csv(csv_path, parse_dates=['date'], date_parser=self.custom_parser) + data = csv_path + index = list(range(len(data))) + data.index = index + self.df = data[['date', 'time', 'latitude', 'longitude', 'user_status']] + + self.df['date'] = pd.to_datetime(self.df['date'], format='%Y-%m-%d') + self.df['time'] = pd.to_datetime(self.df['time'], format='%H:%M:%S') + + self.df['hour_block'] = 'f' + ((self.df['time'].dt.hour) // 4 * 4).astype(str).str.zfill(2) + 't' + ((self.df['time'].dt.hour + 4) // 4 * 4).astype(str).str.zfill(2) + self.df['day_of_week'] = self.df['date'].dt.day_name() + + new_data = [] + for item in self.df['hour_block']: + num = int(item[1:-3]) + new_data.append(num) + + self.df['hour_block'] = new_data + self.df['day_of_week'] = self.df['day_of_week'].apply(self.convert_day_to_number) + self.df = self.df.drop(['date', 'time'], axis=1) + + print(self.df) + + def gmeans_fit(self): + # 두 열을 선택하고 넘파이 배열로 변환 + selected_columns = ['latitude', 'longitude'] + result_list = self.df[selected_columns].values.tolist() + + gmeans_instance = gmeans(result_list).process() + + centers = gmeans_instance.get_centers() + clusters = gmeans_instance.get_clusters() + + return clusters, centers + + def gmeans_func(self): + clusters, centers = self.gmeans_fit() + + data_df = pd.DataFrame({"clusters": clusters, "centers": centers}) + + for k in range(len(data_df.clusters)): + if len(data_df.clusters[k]) < 10: + data_df.drop(index=k, inplace=True) + data_df = data_df.sort_index(axis=1) + data_df = data_df.reset_index(drop=True) + + self.df['cluster_no'] = -1 + for i in range(len(data_df)): + for j in range(len(data_df['clusters'].iloc[i])): + k = data_df['clusters'].iloc[i][j] + self.df['cluster_no'].iloc[k] = i + + data_df['hour_block'] = 0 + data_df['day_of_week'] = 0 + for i in range(max(self.df['cluster_no']) + 1): + counter = Counter(self.df[self.df['cluster_no'] == i]['hour_block']) + most_hour_value = counter.most_common(1)[0][0] + + counter = Counter(self.df[self.df['cluster_no'] == i]['day_of_week']) + most_day_value = counter.most_common(1)[0][0] + + data_df['hour_block'].iloc[i] = most_hour_value + data_df['day_of_week'].iloc[i] = most_day_value + + data_df[['latitude', 'longitude']] = data_df['centers'].apply(lambda x: pd.Series(x)) + data_df.drop('centers', axis=1, inplace=True) + data_df = data_df[['latitude', 'longitude', 'clusters', 'hour_block', 'day_of_week']] + + meaningful_df = data_df[['latitude', 'longitude', 'hour_block', 'day_of_week']] + meaningful_df[['latitude', 'longitude']] = meaningful_df[['latitude', 'longitude']].round(4) + meaningful_df = meaningful_df.drop_duplicates(['latitude', 'longitude'], keep='first', ignore_index=True) + + return meaningful_df + + def haversine(self, lat1, lon1, lat2, lon2): + R = 6371000.0 # 지구 반지름 (미터) + lat1, lon1, lat2, lon2 = map(math.radians, [lat1, lon1, lat2, lon2]) + dlat = lat2 - lat1 + dlon = lon2 - lon1 + + a = math.sin(dlat/2)**2 + math.cos(lat1) * math.cos(lat2) * math.sin(dlon/2)**2 + c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a)) + distance = R * c + return distance + + def calculate_bearing(self, lat1, lon1, lat2, lon2): + lat1, lon1, lat2, lon2 = map(math.radians, [lat1, lon1, lat2, lon2]) + dlon = lon2 - lon1 + x = math.sin(dlon) * math.cos(lat2) + y = math.cos(lat1) * math.sin(lat2) - math.sin(lat1) * math.cos(lat2) * math.cos(dlon) + initial_bearing = math.atan2(x, y) + initial_bearing = math.degrees(initial_bearing) + compass_bearing = (initial_bearing + 360) % 360 + return compass_bearing + + def add_movement_features(self): + self.df['next_lat'] = self.df['latitude'].shift(1) + self.df['next_lon'] = self.df['longitude'].shift(1) + + self.df['distance'] = self.df.apply(lambda row: self.haversine(row['latitude'], row['longitude'], row['next_lat'], row['next_lon']) if pd.notna(row['next_lat']) else None, axis=1) + self.df['bearing'] = self.df.apply(lambda row: self.calculate_bearing(row['latitude'], row['longitude'], row['next_lat'], row['next_lon']) if pd.notna(row['next_lat']) else None, axis=1) + + self.df = self.df.drop(['next_lat', 'next_lon'], axis=1) + self.df = self.df.fillna(0) + + def map_to_meaningful_places(self, meaningful_df): + y, m_hour_block, m_day_of_week = [], [], [] + for i in range(len(self.df)): + current_location = (self.df['latitude'].iloc[i], self.df['longitude'].iloc[i]) + min_distance = float('inf') + + for j in range(len(meaningful_df)): + place_location = (meaningful_df['latitude'].iloc[j], meaningful_df['longitude'].iloc[j]) + dist = distance.euclidean(current_location, place_location) + if dist < min_distance: + min_distance = dist + min_distance_index = j + + y.append(min_distance_index) + m_hour_block.append(meaningful_df['hour_block'].iloc[min_distance_index]) + m_day_of_week.append(meaningful_df['day_of_week'].iloc[min_distance_index]) + + self.df['m_hour_block'] = m_hour_block + self.df['m_day_of_week'] = m_day_of_week + self.df['y'] = y + + def calculate_additional_features(self): + self.df['speed'] = self.df['distance'] / (self.df['hour_block'] / 4 + 1) + self.df['lat_rate_change'] = self.df['latitude'].diff() / self.df['hour_block'].diff().replace(0, 1) + self.df['lon_rate_change'] = self.df['longitude'].diff() / self.df['hour_block'].diff().replace(0, 1) + + daily_variability = self.df.groupby('day_of_week')[['latitude', 'longitude']].std().add_suffix('_daily_var') + hourly_variability = self.df.groupby('hour_block')[['latitude', 'longitude']].std().add_suffix('_hourly_var') + self.df = self.df.join(daily_variability, on='day_of_week') + self.df = self.df.join(hourly_variability, on='hour_block') + + self.df['max_travel_range'] = self.df.groupby('hour_block')['distance'].transform('max') + + self.df['movement_direction'] = self.df['bearing'].apply(lambda x: 0 if x < 180 else 1) + self.df = self.df.fillna(0) + + + def run_analysis(self): + meaningful_df = self.gmeans_func() + self.add_movement_features() + self.map_to_meaningful_places(meaningful_df) + self.calculate_additional_features() + + y = self.df['y'] + self.df = self.df.drop(['y'], axis=1) + self.df['y'] = y + + return self.df, meaningful_df + + def get_meaningful_df(self): + return self.gmeans_func() + +if __name__ =='__main__': + + # 전처리 + csv_path = r"C:\Users\sk002\Downloads\138362.csv" + pr = Preprocessing(csv_path) + df = pr.run_analysis() + + test_idx = int(len(df) * 0.8) + df_train = df.iloc[:test_idx] + df_test = df.iloc[test_idx:] + + # 파라미터 설정 + seq_len = 5 # 150개의 데이터를 feature로 사용 + steps = 5 # 향후 150개 뒤의 y를 예측 + single_output = False + metrics = ["accuracy"] # 모델 성능 지표 + lstm_params = { + "seq_len": seq_len, + "epochs": 30, # epochs 반복 횟수 + "patience": 30, # early stopping 조건 + "steps_per_epoch": 5, # 1 epochs 시 dataset을 5개로 분할하여 학습 + "learning_rate": 0.03, + "lstm_units": [64, 32], # Dense Layer: 2, Unit: (64, 32) + "activation": "softmax", + "dropout": 0, + "validation_split": 0.3, # 검증 데이터셋 30% + } + fl = ForecastLSTMClassification(class_num=len(df['y'].unique())) + model = fl.fit_lstm( + df=df_train, + steps=steps, + single_output=single_output, + verbose=True, + metrics=metrics, + **lstm_params, + ) + + y_pred = fl.pred(df=df_test, + steps=steps, + num_classes=len(df['y'].unique()), + seq_len=seq_len, + single_output=single_output) + + print(y_pred) \ No newline at end of file diff --git a/backend/fastapi/app/__init__.py b/backend/fastapi/app/__init__.py new file mode 100644 index 00000000..f296513f --- /dev/null +++ b/backend/fastapi/app/__init__.py @@ -0,0 +1,29 @@ +from fastapi import FastAPI, Depends, Path, HTTPException +from pydantic import BaseModel +from .database import Database +from sqlalchemy import * +from mangum import Mangum +from fastapi.responses import JSONResponse + + +# FastAPI 인스턴스 생성 +app = FastAPI() +handler = Mangum(app) +engine = Database() +session = engine.get_session() + +# 라우트 설정 +def create_app(): + from . import routes + app.include_router(routes.router) + + routes.sched.start() + + return app + +@app.exception_handler(HTTPException) +async def http_exception_handler(exc): + return JSONResponse( + status_code=exc.status_code, + content={"message": exc.detail} + ) \ No newline at end of file diff --git a/backend/fastapi/app/bodymodel.py b/backend/fastapi/app/bodymodel.py new file mode 100644 index 00000000..bb937dc0 --- /dev/null +++ b/backend/fastapi/app/bodymodel.py @@ -0,0 +1,205 @@ +from pydantic import BaseModel, Field +from typing import List, Dict + +# Define request and response models +class accessToken(BaseModel): + accessToken: str = Field(examples=["ksjdnfjkdasnfljsknafljansdfjlsakn"]) + +class CommonResponse(BaseModel): + status: str = Field("success") + message: str = Field("메~시~지~") + result : accessToken + +class dementiaInfoRecord(BaseModel): + dementiaKey : str = Field(examples=["123456"]) + dementiaName : str = Field(examples=["성춘향"]) + dementiaPhoneNumber : str = Field(examples=["010-1234-5678"]) + updateRate : int = Field(examples=["15"], description="초 단위") + +class nokInfoRecord(BaseModel): + nokKey : str = Field(examples=["123456"]) + nokName : str = Field(examples=["홍길동"]) + nokPhoneNumber : str = Field(examples=["010-1234-5678"]) + updateRate : int = Field(examples=["15"], description="초 단위") + +class UserRecord(BaseModel): + dementiaInfoRecord: dementiaInfoRecord + nokInfoRecord: nokInfoRecord + +class nokResult(BaseModel): + dementiaInfoRecord: dementiaInfoRecord + nokKey: str = Field(examples=["123456"]) + accessToken: str = Field(examples=["ksjdnfjkdasnfljsknafljansdfjlsakn"]) + refreshToken: str = Field(examples=["ksjdnfjkdasnfljsknafljansdfjlsakn"]) + +class ReceiveNokInfoRequest(BaseModel): + keyFromDementia : int = Field(examples=["123456"]) + nokName : str = Field(examples=["홍길동"]) + nokPhoneNumber : str = Field(examples=["010-1234-5678"]) + +class ReceiveNokInfoResponse(BaseModel): + status: str = Field("success") + message: str = Field("메~시~지~") + result: nokResult + + +class dementiaResult(BaseModel): + dementiaKey: str = Field(examples=["123456"]) + +class ReceiveDementiaInfoRequest(BaseModel): + name : str = Field(examples=["성춘향"]) + phoneNumber : str = Field(examples=["010-1234-5678"]) + +class ReceiveDementiaInfoResponse(BaseModel): + status: str = Field("success") + message: str = Field("메~시~지~") + result: dementiaResult + +class connectionResult(BaseModel): + nokInfoRecord: nokInfoRecord + accessToken: str = Field(examples=["ksjdnfjkdasnfljsknafljansdfjlsakn"]) + refreshToken: str = Field(examples=["ksjdnfjkdasnfljsknafljansdfjlsakn"]) + +class ConnectionRequest(BaseModel): + dementiaKey : int = Field(examples=["123456"]) + +class ConnectionResponse(BaseModel): + status: str = Field("success") + message: str = Field("메~시~지~") + result: connectionResult + +class loginRequest(BaseModel): + key : int = Field(examples=["123456"]) + isDementia : int = Field(examples=["1"], description="1 : 보호대상자, 0 : 보호자") + +class ReceiveLocationRequest(BaseModel): + date : str = Field(examples=["2024-03-19"], description="yyyy-mm-dd") + time : str = Field(examples=["12:00:00"]) + latitude : float = Field(examples=["37.123456"]) + longitude : float = Field(examples=["127.123456"]) + bearing : float = Field(examples=["0.0"]) + accelerationSensor : List[float] = Field(..., examples=[[-1.84068, 6.68136, 6.0359]]) + gyroSensor : List[float] = Field(..., examples=[[-1.84068, 6.68136, 6.0359]]) + directionSensor : List[float] = Field(..., examples=[[-1.84068, 6.68136, 6.0359]]) + lightSensor : List[float] = Field(examples=[[500.0]]) + battery : int = Field(examples=["100"]) + isInternetOn : bool = Field(examples=["true"]) + isGpsOn : bool = Field(examples=["true"]) + isRingstoneOn : int = Field(examples=["1"]) + currentSpeed : float = Field(examples=["0.0"]) + +class LastLoc(BaseModel): + latitude : float = Field(examples=["37.123456"]) + longitude : float = Field(examples=["127.123456"]) + bearing : float = Field(examples=["0.0"]) + currentSpeed : float = Field(examples=["0.0"]) + userStatus : int = Field(examples=["1"], description = " 1 : 정지, 2 : 도보, 3 : 차량, 4 : 지하철") + battery : int = Field(examples=["100"]) + isInternetOn : bool = Field(examples=["true"]) + isGpsOn : bool = Field(examples=["true"]) + isRingstoneOn : int = Field(examples=["1"], description="2 : 벨소리,1 : 진동, 0 : 무음") + +class GetLocationResponse(BaseModel): + status: str = Field("success") + message: str = Field("메~시~지~") + result: LastLoc + +class ModifyUserInfoRequest(BaseModel): + name : str = Field(examples=["김이름"]) + phoneNumber : str = Field(examples=["010-1234-5678"]) + +class ModifyUserUpdateRateRequest(BaseModel): + updateRate : int = Field(examples=["15"], description="초 단위") + +class AverageAndLastLoc(BaseModel): + averageSpeed : float = Field(examples=["2.0"]) + lastLatitude : float = Field(examples=["37.123456"]) + lastLongitude : float = Field(examples=["127.123456"]) + addressName : str = Field(examples=["서울특별시 강남구 니가 사는 그 집"]) + +class AverageWalkingSpeedResponse(BaseModel): + status: str = Field("success") + message: str = Field("메~시~지~") + result: AverageAndLastLoc + +class GetUserInfoResponse(BaseModel): + status: str = Field("success") + message: str = Field("메~시~지~") + result: UserRecord + +class timeInfoList(BaseModel): + dayOfTheWeek : str = Field(examples=["월요일"]) + time : str = Field(examples=["0408"]) + +class PoliceStationInfoList(BaseModel): + policeName : str = Field(examples=["서울동작경찰서"]) + policePhoneNumber : str = Field(examples=["02-1234-5678"]) + policeAddress : str = Field(examples=["서울 동작구 노량진동 72-35"]) + roadAddress : str = Field(examples=["서울 동작구 노량진로 148"]) + distance : int = Field(examples=["2005"], description="미터 단위") + latitude : float = Field(examples=["37.123456"]) + longitude : float = Field(examples=["127.123456"]) + + +class MeaningfulLoc(BaseModel): + address : str = Field(examples=["서울특별시 강남구 니가 사는 그 집"]) + timeInfo : timeInfoList + latitude : float = Field(examples=["37.123456"]) + longitude : float = Field(examples=["127.123456"]) + policeStationInfo : List[PoliceStationInfoList] + +class MeaningfulLocRecord(BaseModel): + meaningfulLocations : List[MeaningfulLoc] + +class MeaningfulLocResponse(BaseModel): + status: str = Field("success") + message: str = Field("메~시~지~") + result: MeaningfulLocRecord + +class LocHis(BaseModel): + latitude : float = Field(examples=["37.123456"]) + longitude : float = Field(examples=["127.123456"]) + time : str = Field(examples=["12:00:00 or 12:00:00,12:01:00"], description='정지 일땐 시작, 끝 시간임') + userStatus : int = Field(examples=["1"], description = " 1 : 정지, 2 : 도보, 3 : 차량, 4 : 지하철") + distance : int = Field(examples=["2005"], description="미터 단위(소수점 2자리까지)") + +class LocHisRecord(BaseModel): + locationHistory : List[LocHis] + +class LocHistoryResponse(BaseModel): + status: str = Field("success") + message: str = Field("메~시~지~") + result : LocHisRecord + +class ErrorResponse(BaseModel): + status: str = Field("error") + message: str = Field("에러 내용") + +class TempResponse(BaseModel): + status: str = Field("success") + message: str = Field("메~시~지~") + result : int = Field("1", description="1(정지), 2(도보), 3(차량), 4(지하철)") + +class Token(BaseModel): + accessToken: str = Field("ksjdnfjkdasnfljsknafljansdfjlsakn") + refreshToken: str = Field("ksjdnfjkdasnfljsknafljansdfjlsakn") + tokenType: str = Field("bearer") + +class TokenResponse(BaseModel): + status: str = Field("success") + message: str = Field("메~시~지~") + result : List[Token] + +class predloc(BaseModel): + latitude : float = Field(examples=["37.123456"]) + longitude : float = Field(examples=["127.123456"]) + address : str = Field(examples=["서울특별시 강남구 니가 사는 그 집"]) + +class locpredict(BaseModel): + predictLocation : predloc + policeInfo : PoliceStationInfoList + +class PredictLocationResponse(BaseModel): + status: str = Field("success") + message: str = Field("메~시~지~") + result : locpredict \ No newline at end of file diff --git a/backend/fastapi/app/database.py b/backend/fastapi/app/database.py new file mode 100644 index 00000000..78f358ac --- /dev/null +++ b/backend/fastapi/app/database.py @@ -0,0 +1,21 @@ +from sqlalchemy import create_engine +from sqlalchemy.orm import sessionmaker +from .config import Config + +DB_URL = Config.SQLALCHEMY_DATABASE_URI + +class Database: + def __init__(self): + self.engine = create_engine(DB_URL, pool_recycle=500) + self.SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=self.engine) + + def get_session(self): + try: + db_session = self.SessionLocal() + yield db_session + finally: + db_session.close() + + def get_connection(self): + conn = self.engine.connect() + return conn diff --git a/backend/fastapi/app/fcm_notification.py b/backend/fastapi/app/fcm_notification.py new file mode 100644 index 00000000..1180213d --- /dev/null +++ b/backend/fastapi/app/fcm_notification.py @@ -0,0 +1,13 @@ +from pyfcm import FCMNotification +from .config import Config + +push_service = FCMNotification(Config.fcm_server_key) + + + +def send_push_notification(token, body, title): + + result = push_service.notify_single_device(registration_id=token, message_title=title, message_body=body) + + return result + diff --git a/backend/fastapi/app/models.py b/backend/fastapi/app/models.py new file mode 100644 index 00000000..1bf91423 --- /dev/null +++ b/backend/fastapi/app/models.py @@ -0,0 +1,82 @@ +from sqlalchemy import Column, Integer, String, Boolean, Float, Double +from sqlalchemy.ext.declarative import declarative_base + +Base = declarative_base() + +class nok_info(Base): + __tablename__ = 'nok_info' + + num = Column(Integer, index=True, primary_key=True) + nok_key = Column(String) + nok_name = Column(String) + nok_phonenumber = Column(String) + update_rate = Column(String) + dementia_info_key = Column(String) + +class dementia_info(Base): + __tablename__ = 'dementia_info' + + num = Column(Integer, index = True, primary_key=True) + dementia_key = Column(String) + dementia_name = Column(String) + dementia_phonenumber = Column(String) + update_rate = Column(String) + +class location_info(Base): + __tablename__ = 'location_info' + + num = Column(Integer, index=True, primary_key=True) + dementia_key = Column(String) + date = Column(String) + time = Column(String) + latitude = Column(Double) + longitude = Column(Double) + bearing = Column(Float) + user_status = Column(String) + accelerationsensor_x = Column(Float) + accelerationsensor_y = Column(Float) + accelerationsensor_z = Column(Float) + directionsensor_x = Column(Float) + directionsensor_y = Column(Float) + directionsensor_z = Column(Float) + gyrosensor_x = Column(Float) + gyrosensor_y = Column(Float) + gyrosensor_z = Column(Float) + lightsensor = Column(Float) + battery = Column(Integer) + isInternetOn = Column(Boolean) # Boolean + isRingstoneOn = Column(Integer) + isGpsOn = Column(Boolean) + current_speed = Column(String) + +class meaningful_location_info(Base): + __tablename__ = 'meaningful_location_info' + + num = Column(Integer, index=True, primary_key=True) + dementia_key = Column(String) + date = Column(String) + day_of_the_week = Column(String) + time = Column(String) + latitude = Column(Double) + longitude = Column(Double) + address = Column(String) + key = Column(String) + +class police_info(Base): + __tablename__ = 'police_info' + + num = Column(Integer, index=True, primary_key=True) + key = Column(String) + policeName = Column(String) + policeAddress = Column(String) + roadAddress = Column(String) + policePhoneNumber = Column(String) + distance = Column(Integer) + latitude = Column(Double) + longitude = Column(Double) + +class refresh_token_info(Base): + __tablename__ = 'refresh_token_info' + + key = Column(String) + refresh_token = Column(String) \ No newline at end of file diff --git a/backend/fastapi/app/random_forest_model_mk2.pkl b/backend/fastapi/app/random_forest_model_mk2.pkl new file mode 100644 index 00000000..5024f997 Binary files /dev/null and b/backend/fastapi/app/random_forest_model_mk2.pkl differ diff --git a/backend/fastapi/app/random_generator.py b/backend/fastapi/app/random_generator.py new file mode 100644 index 00000000..777bcf26 --- /dev/null +++ b/backend/fastapi/app/random_generator.py @@ -0,0 +1,12 @@ +import random + +class RandomNumberGenerator: + def __init__(self): + self.used_numbers = set() + + def generate_unique_random_number(self, lower_bound = 100000, upper_bound = 999999): + while True: + random_number = random.randint(lower_bound, upper_bound) + if random_number not in self.used_numbers: + self.used_numbers.add(random_number) + return random_number \ No newline at end of file diff --git a/backend/fastapi/app/routes.py b/backend/fastapi/app/routes.py new file mode 100644 index 00000000..df1ec7ff --- /dev/null +++ b/backend/fastapi/app/routes.py @@ -0,0 +1,891 @@ +from fastapi import APIRouter, HTTPException, status, Depends +from fastapi.security import OAuth2PasswordRequestForm, APIKeyHeader, OAuth2PasswordBearer + +from apscheduler.schedulers.background import BackgroundScheduler +from passlib.context import CryptContext +from haversine import haversine +from PyKakao import Local + +from . import models +from .random_generator import RandomNumberGenerator +from .update_user_status import UpdateUserStatus +from .database import Database +from .bodymodel import * +from .util import JWTService +from .config import Config +from .schedularFunc import SchedulerFunc +from .fcm_notification import send_push_notification +from .LocationPredict import ForecastLSTMClassification, Preprocessing + +import asyncio +import datetime +import requests +import urllib.parse +import pandas as pd +import time + + +router = APIRouter() +db = Database() +session = next(db.get_session()) +pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") +jwt = JWTService() +schedFunc = SchedulerFunc() +sched = BackgroundScheduler(timezone="Asia/Seoul", daemon=True) +kakao = Local(service_key=Config.kakao_service_key) +oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token") + + + + + + +''' +성공 = 200 +실패 = 400 + +작성됨 = 201 + +위치 정보, 키 없음 = 404 + +정의되지 않은 오류 = 500 +''' + + + + +@router.get("/test", responses = {200 : {"model" : CommonResponse, "description" : "테스트 성공" }}, description="토큰을 사용했을 때 유저 정보가 반환되면 성공(앞으로 이렇게 바뀔 예정)") +async def protected_route(current_user= Depends(APIKeyHeader(name="Authorization"))): + return jwt.get_current_user(current_user, session) + +"""@router.post("/test/login", responses = {200 : {"model" : TokenResponse, "description" : "로그인 성공" }, 400: {"model": ErrorResponse, "description": "로그인 실패"}}, description="로그인 테스트(앞으로 이렇게 바뀔예정) | username : 이름, password : key -> 이 두개만 채워서 보내면 됨") +async def test_login(from_data: OAuth2PasswordRequestForm = Depends()): + _key = request.key + _isdementia = request.isDementia + try: + if _isdementia == 0: # 보호자인 경우 + existing_nok = session.query(models.nok_info).filter_by(nok_key = _key).first() + + if existing_nok: + response = { + 'status': 'success', + 'message': 'User login success', + } + print(f"[INFO] User login from {existing_nok.nok_name}({existing_nok.nok_key})") + + else: + print(f"[ERROR] User login failed from NOK key({_key})") + + raise HTTPException(status_code=400, detail="User login failed") + + elif _isdementia == 1: # 보호 대상자인 경우 + existing_dementia = session.query(models.dementia_info).filter_by(dementia_key = _key).first() + + if existing_dementia: + response = { + 'status': 'success', + 'message': 'User login success', + } + print(f"[INFO] User login from {existing_dementia.dementia_name}({existing_dementia.dementia_key})") + + else: + print(f"[ERROR] User login failed from Dementia key({_key})") + + raise HTTPException(status_code=400, detail="User login failed") + + return response + + finally: + session.close()""" + +'''@router.get("/login/google") +async def google_login(): + return { + "url": f"https://accounts.google.com/o/oauth2/auth?response_type=code&client_id={Config.GOOGLE_CLIENT_ID}&redirect_uri={Config.GOOGLE_REDIRECT_URI}&scope=openid%20profile%20email&access_type=offline" + } + +@router.get("/auth/google") +async def auth_google(code: str): + token_url = "https://accounts.google.com/o/oauth2/token" + decoded_code = urllib.parse.unquote(code) + data = { + "code": decoded_code, + "client_id": Config.GOOGLE_CLIENT_ID, + "client_secret": Config.GOOGLE_CLIENT_SECRET, + "redirect_uri": Config.GOOGLE_REDIRECT_URI, + "grant_type": "authorization_code", + } + response = requests.post(token_url, data=data) + access_token = response.json().get("access_token") + user_info = requests.get("https://www.googleapis.com/oauth2/v1/userinfo", headers={"Authorization": f"Bearer {access_token}"}) + people = people_service.people().connections().list('people/me', personFields='names,emailAddresses') + return user_info.json() + +@router.get("/token") +async def get_token(token: str = Depends(oauth2_scheme)): + return jwt.decode(token, Config.GOOGLE_CLIENT_SECRET, algorithms=["HS256"])''' + + + +# Define API endpoint +@router.post("/noks",status_code=status.HTTP_201_CREATED, responses = {201 : {"model" : ReceiveNokInfoResponse, "description" : "유저 등록 성공" },404: {"model": ErrorResponse, "description": "보호 대상자 키 조회 실패"}}, description="보호자가 보호 대상자의 정보를 등록") +async def receive_nok_info(request: ReceiveNokInfoRequest): + + _key_from_dementia = request.keyFromDementia + + rng = RandomNumberGenerator() + + try: + existing_dementia = session.query(models.dementia_info).filter(models.dementia_info.dementia_key == _key_from_dementia).first() + if existing_dementia: + _nok_name = request.nokName + _nok_phonenumber = request.nokPhoneNumber + + duplication_check = session.query(models.nok_info).filter(models.nok_info.nok_name == _nok_name, models.nok_info.nok_phonenumber == _nok_phonenumber, models.nok_info.dementia_info_key == _key_from_dementia).first() + + if duplication_check: + _key = duplication_check.nok_key + + else: + unique_key = None + for _ in range(10): + unique_key = rng.generate_unique_random_number(100000, 999999) + + _key = str(unique_key) + print(_key) + + new_nok = models.nok_info(nok_key=_key, nok_name=_nok_name, nok_phonenumber=_nok_phonenumber, dementia_info_key=_key_from_dementia, update_rate=1) + session.add(new_nok) + + + access_token = jwt.create_access_token(_nok_name, _key) + if not session.query(models.refresh_token_info).filter_by(key=_key).first(): + refresh_token = jwt.create_refresh_token(_nok_name, _key) + new_token = models.refresh_token_info(key=_key, refresh_token=refresh_token) + session.add(new_token) + else: + refresh_token = None + + result = { + 'dementiaInfoRecord' : { + 'dementiaKey' : existing_dementia.dementia_key, + 'dementiaName': existing_dementia.dementia_name, + 'dementiaPhoneNumber': existing_dementia.dementia_phonenumber + }, + 'nokKey': _key, + 'accessToken': access_token, + 'refreshToken': refresh_token + } + + print(f"[INFO] NOK information received from {existing_dementia.dementia_name}({existing_dementia.dementia_key})") + + response = { + 'status': 'success', + 'message': 'NOK information received', + 'result': result + } + session.commit() + + return response + + else: # 보호 대상자 인증번호가 등록되어 있지 않은 경우 + + print(f"[ERROR] Dementia key({_key_from_dementia}) not found") + + raise HTTPException(status_code=404, detail="Dementia key not found") + + finally: + session.close() + +@router.post("/dementias", status_code=status.HTTP_201_CREATED, responses = {201 : {"model" : ReceiveDementiaInfoResponse, "description" : "유저 등록 성공" }}, description="보호 대상자의 정보를 등록") +async def receive_dementia_info(request: ReceiveDementiaInfoRequest): + + rng = RandomNumberGenerator() + + try: + _dementia_name = request.name + _dementia_phonenumber = request.phoneNumber + + duplication_check = session.query(models.dementia_info).filter(models.dementia_info.dementia_name == _dementia_name, models.dementia_info.dementia_phonenumber == _dementia_phonenumber).first() + + if duplication_check: # 기존의 인증번호를 가져옴 + _key = duplication_check.dementia_key + else: # 새로운 인증번호 생성 + unique_key = None + for _ in range(10): + unique_key = rng.generate_unique_random_number(100000, 999999) + + _key = str(unique_key) + + #_key = pwd_context.hash(unique_key) + + new_dementia = models.dementia_info(dementia_key=_key, dementia_name=_dementia_name, dementia_phonenumber=_dementia_phonenumber, update_rate = 1) + session.add(new_dementia) + session.commit() + + result = { + 'dementiaKey': _key + } + + response = { + 'status': 'success', + 'message' : 'Dementia information received', + 'result': result + } + + print(f"[INFO] Dementia information received from {_dementia_name}({_key})") + + return response + + finally: + session.close() + +@router.post("/connection", responses = {200 : {"model" : ConnectionResponse, "description" : "연결 확인 성공" }, 400: {"model": ErrorResponse, "description": "연결 실패"}}, description="보호자와 보호 대상자의 연결 확인") +async def is_connected(request: ConnectionRequest): + + _dementia_key = request.dementiaKey + + try: + existing_nok = session.query(models.nok_info).filter_by(dementia_info_key = _dementia_key).first() + if existing_nok: + dementia_info = session.query(models.dementia_info).filter_by(dementia_key = _dementia_key).first() + access_token = jwt.create_access_token(dementia_info.dementia_name, dementia_info.dementia_key) + if not session.query(models.refresh_token_info).filter_by(key=dementia_info.dementia_key).first(): + refresh_token = jwt.create_refresh_token(dementia_info.dementia_name, dementia_info.dementia_key) + new_token = models.refresh_token_info(key=dementia_info.dementia_key, refresh_token=refresh_token) + session.add(new_token) + + else: + refresh_token = None + + session.commit() + result = { + 'nokInfoRecord':{ + 'nokKey': existing_nok.nok_key, + 'nokName': existing_nok.nok_name, + 'nokPhoneNumber': existing_nok.nok_phonenumber + }, + 'accessToken': access_token, + 'refreshToken': refresh_token + } + response = { + 'status': 'success', + 'message': 'Connection check', + 'result': result + } + + print(f"[INFO] Connection check from {existing_nok.nok_name}(from {existing_nok.dementia_info_key})") + + return response + + else: + print (f"[ERROR] Connection denied from Dementia key({_dementia_key})") + + raise HTTPException(status_code=400, detail="Connection denied") + + finally: + session.close() + +@router.post("/login", responses = {200 : {"model" : TokenResponse, "description" : "로그인 성공" }, 400: {"model": ErrorResponse, "description": "로그인 실패"}}, description="보호자와 보호 대상자의 로그인 | username : 이름, password : key -> 이 두개만 채워서 보내면 됨") +async def receive_user_login(from_data: OAuth2PasswordRequestForm = Depends()): + try: + # 사용자 확인 + user = jwt.get_user(from_data.username, from_data.password, session) + + if not user: + # 인증 실패 시 예외 발생 + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Invalid username or password", + headers={"WWW-Authenticate": "Bearer"}, + ) + + # 사용자의 권한에 따라 액세스 토큰 및 리프레시 토큰 생성 + if user[1] == "nok": # 보호자 + access_token = jwt.create_access_token(user[0].nok_name, user[0].nok_key) + refresh_token = jwt.create_refresh_token(user[0].nok_name, user[0].nok_key) + if not session.query(models.refresh_token_info).filter_by(key=user[0].nok_key).first(): + new_token = models.refresh_token_info(key=user[0].nok_key, refresh_token=refresh_token) + session.add(new_token) + elif user[1] == "dementia": # 보호 대상자 + access_token = jwt.create_access_token(user[0].dementia_name, user[0].dementia_key) + refresh_token = jwt.create_refresh_token(user[0].dementia_name, user[0].dementia_key) + if not session.query(models.refresh_token_info).filter_by(key=user[0].dementia_key).first(): + new_token = models.refresh_token_info(key=user[0].dementia_key, refresh_token=refresh_token) + session.add(new_token) + + + # 트랜잭션 커밋 + session.commit() + + # 응답 구성 + result = { + 'accessToken': access_token, + 'refreshToken': refresh_token, + 'tokenType': 'bearer' + } + + response = { + 'status': 'success', + 'message': 'Login success', + 'result': result + } + + return response + + except Exception as e: + # 예외 발생 시 롤백 후 에러 메시지 반환 + session.rollback() + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail="An error occurred while processing the request", + ) + finally: + # 세션 닫기 + session.close() + +@router.post("/locations/dementias", responses = {200 : {"model" : TempResponse, "description" : "위치 정보 전송 성공" }, 404: {"model": ErrorResponse, "description": "보호 대상자 키 조회 실패"}}, description="보호 대상자의 위치 정보를 전송 | isRingstoneOn : 0(무음), 1(진동), 2(벨소리)") +async def receive_location_info(request: ReceiveLocationRequest, user_info: int = Depends(APIKeyHeader(name = "Authorization"))): + try: + _dementia_key = jwt.get_current_user(user_info, session)[0].dementia_key + + existing_dementia = session.query(models.dementia_info).filter_by(dementia_key = _dementia_key).first() + + user_status_updater = UpdateUserStatus() + + accel = request.accelerationSensor + gyro = request.gyroSensor + direction = request.directionSensor + + prediction = user_status_updater.predict(accel, gyro, direction) + + if int(prediction[0]) == 1: + userStat = "정지" + elif int(prediction[0]) == 2: + userStat = "도보" + elif int(prediction[0]) == 3: + userStat = "차량" + elif int(prediction[0]) == 4: + userStat = "지하철" + + new_location = models.location_info( + dementia_key = _dementia_key, + date = request.date, + time = request.time, + latitude = request.latitude, + longitude = request.longitude, + bearing = request.bearing, + user_status = userStat, + accelerationsensor_x = accel[0], + accelerationsensor_y = accel[1], + accelerationsensor_z = accel[2], + directionsensor_x = direction[0], + directionsensor_y = direction[1], + directionsensor_z = direction[2], + gyrosensor_x = gyro[0], + gyrosensor_y = gyro[1], + gyrosensor_z = gyro[2], + lightsensor = request.lightSensor[0], + battery = request.battery, + isInternetOn = request.isInternetOn, + isRingstoneOn = request.isRingstoneOn, + isGpsOn = request.isGpsOn, + current_speed = request.currentSpeed + ) + + session.add(new_location) + session.commit() + + print(f"[INFO] Location data received from {existing_dementia.dementia_name}({existing_dementia.dementia_key})") + + response = { + 'status': 'success', + 'message': 'Location data received', + 'result' : int(prediction[0]) + } + + return response + + finally: + session.close() + +@router.get("/locations/noks", responses = {200 : {"model" : GetLocationResponse, "description" : "위치 정보 전송 성공" }, 404: {"model": ErrorResponse, "description": "위치 정보 없음"}}, description="보호자에게 보호 대상자의 위치 정보를 전송(쿼리 스트링) | userStatus : 1(정지), 2(도보), 3(차량), 4(지하철) | isRingstoneOn : 0(무음), 1(진동), 2(벨소리)") +async def send_live_location_info(user_info: int = Depends(APIKeyHeader(name = "Authorization"))): + + try: + _dementia_key = jwt.get_current_user(user_info, session)[0].dementia_info_key + + latest_location = session.query(models.location_info).filter_by(dementia_key = _dementia_key).order_by(models.location_info.num.desc()).first() + + if latest_location: + result = { + 'latitude': latest_location.latitude, + 'longitude': latest_location.longitude, + 'bearing': latest_location.bearing, + 'currentSpeed': latest_location.current_speed, + 'userStatus': latest_location.user_status, # 1: 정지, 2: 도보, 3: 차량, 4: 지하철 + 'battery': latest_location.battery, + 'isInternetOn': latest_location.isInternetOn, + 'isGpsOn': latest_location.isGpsOn, + 'isRingstoneOn': latest_location.isRingstoneOn # 0 : 무음, 1 : 진동, 2 : 벨소리 + } + response = { + 'status': 'success', + 'message': 'Live location data sent', + 'result': result + } + print(f"[INFO] Live location data sent to {latest_location.dementia_key}") + + else: + print(f"[ERROR] Location data not found for Dementia key({_dementia_key})") + + raise HTTPException(status_code=404, detail="Location data not found") + + return response + + finally: + session.close() + +@router.post("/users/modification/userInfo", responses = {200 : {"model" : TokenResponse, "description" : "유저 정보 수정 성공" }, 404: {"model": ErrorResponse, "description": "유저 키 조회 실패"}}, description="보호자와 보호대상자의 정보를 수정 | 정보 수정 시 새로운 토큰 전송 | 변경하지 않는 값은 기존의 값을 그대로 수신할 것") +async def modify_user_info(request: ModifyUserInfoRequest, user_info : int = Depends(APIKeyHeader(name = "Authorization"))): + + _new_name = request.name + _new_phonenumber = request.phoneNumber + + try: + user = jwt.get_current_user(user_info, session) + + if user[1] == 'nok': #보호자 + existing_nok = session.query(models.nok_info).filter_by(nok_key = user[0].nok_key).first() + + if not existing_nok.nok_name == _new_name: + existing_nok.nokname = _new_name + if not existing_nok.nok_phonenumber == _new_phonenumber: + existing_nok.nok_phonenumber = _new_phonenumber + + print(f"[INFO] User information modified by {existing_nok.nok_name}({existing_nok.nok_key})") + + new_access_token = jwt.create_access_token(existing_nok.nok_name, existing_nok.nok_key) + new_refresh_token = jwt.create_refresh_token(existing_nok.nok_name, existing_nok.nok_key) + + update_refresh_token = models.refresh_token_info(key=existing_nok.nok_key, refresh_token=new_refresh_token) + session.add(update_refresh_token) + + + elif user[1] == 'dementia': #보호대상자 + existing_dementia = session.query(models.dementia_info).filter_by(dementia_key = user[0].dementia_key).first() + + if not existing_dementia.dementia_name == _new_name: + existing_dementia.dementia_name = _new_name + if not existing_dementia.dementia_phonenumber == _new_phonenumber: + existing_dementia.dementia_phonenumber = _new_phonenumber + + print(f"[INFO] User information modified by {existing_dementia.dementia_name}({existing_dementia.dementia_key})") + + new_access_token = jwt.create_access_token(existing_dementia.dementia_name, existing_dementia.dementia_key) + new_refresh_token = jwt.create_refresh_token(existing_dementia.dementia_name, existing_dementia.dementia_key) + + update_refresh_token = models.refresh_token_info(key=existing_dementia.dementia_key, refresh_token=new_refresh_token) + session.add(update_refresh_token) + + + + result = { + 'accessToken': new_access_token, + 'refreshToken': new_refresh_token + } + + response = { + 'status': 'success', + 'message': 'User information modified', + 'result': result + } + + session.commit() + + + return response + + finally: + session.close() + +@router.post("/users/modification/updateRate", responses = {200 : {"model" : CommonResponse, "description" : "업데이트 주기 수정 성공" }, 404: {"model": ErrorResponse, "description": "유저 키 조회 실패"}}, description="보호자와 보호대상자의 업데이트 주기를 수정") +async def modify_updatint_rate(request: ModifyUserUpdateRateRequest, user_info : int = Depends(APIKeyHeader(name = "Authorization"))): + + _update_rate = request.updateRate + + #보호자와 보호대상자 모두 업데이트 + try: + user = jwt.get_current_user(user_info, session) + if user[1] == 'nok': #보호자 + existing_nok = session.query(models.nok_info).filter_by(nok_key = user[0].nok_key).first() + + connected_dementia = session.query(models.dementia_info).filter_by(dementia_key = existing_nok.dementia_info_key).first() + existing_nok.update_rate = _update_rate + connected_dementia.update_rate = _update_rate + + print(f"[INFO] Update rate modified by {existing_nok.nok_name}, {connected_dementia.dementia_name}") + + response = { + 'status': 'success', + 'message': 'User update rate modified' + } + + elif user[1] == 'dementia': + existing_dementia = session.query(models.dementia_info).filter_by(dementia_key = user[0].dementia_key).first() + + connected_nok = session.query(models.nok_info).filter_by(dementia_info_key = existing_dementia.dementia_key).first() + existing_dementia.update_rate = _update_rate + connected_nok.update_rate = _update_rate + + print(f"[INFO] Update rate modified by {existing_dementia.dementia_name}, {connected_nok.nok_name}") + + response = { + 'status': 'success', + 'message': 'User update rate modified' + } + + session.commit() + + return response + + finally: + session.close() + +@router.post("/dementias/averageWalkingSpeed", responses = {200 : {"model" : AverageWalkingSpeedResponse, "description" : "평균 걷기 속도 계산 성공" }, 404: {"model": ErrorResponse, "description": "보호 대상자 키 조회 실패 or 위치 정보 부족"}}, description="보호 대상자의 평균 걷기 속도를 계산 및 마지막 정보 전송") +async def caculate_dementia_average_walking_speed(user_info : int = Depends(APIKeyHeader(name = "Authorization"))): + try: + _dementia_key = jwt.get_current_user(user_info, session)[0].dementia_info_key + + #최근 10개의 정보를 가져와 평균 속도 계산(임시) + location_info_list = session.query(models.location_info).filter_by(dementia_key = _dementia_key).order_by(models.location_info.num.desc()).limit(10).all() + + if location_info_list: + sum_speed = 0 + for location_info in location_info_list: + sum_speed += float(location_info.current_speed) + + average_speed = round(sum_speed / len(location_info_list), 2) + + geo = kakao.geo_coord2address(location_info_list[0].longitude, location_info_list[0].latitude) + + if not geo['documents'][0]['road_address'] == None: + xy2addr = geo['documents'][0]['road_address']['address_name'] + " " + geo['documents'][0]['road_address']['building_name'] + + else: + xy2addr = geo['documents'][0]['address']['address_name'] + + response = { + 'status': 'success', + 'message': 'Dementia average walking speed calculated', + 'result': { + 'averageSpeed': average_speed, + 'lastLatitude': location_info_list[0].latitude, + 'lastLongitude': location_info_list[0].longitude, + 'addressName' : xy2addr + } + } + print(f"[INFO] Dementia average walking speed calculated for {location_info_list[0].dementia_key}") + + else: + print(f"[ERROR] Not enough location data for Dementia key({_dementia_key})") + + raise HTTPException(status_code=404, detail="Not enough location data") + + return response + + finally: + session.close() + +@router.get("/users/info", responses = {200 : {"model" : GetUserInfoResponse, "description" : "유저 정보 전송 성공" }, 404: {"model": ErrorResponse, "description": "유저 정보 없음"}}, description="보호자와 보호 대상자 정보 전달(쿼리 스트링)") +async def get_user_info(user_info : int = Depends(APIKeyHeader(name = "Authorization"))): + try: + user = jwt.get_current_user(user_info, session) + + nok_info_record = session.query(models.nok_info).filter_by(nok_key = user[0].nok_key).first() + + + if nok_info_record: + dementia_info_record = session.query(models.dementia_info).filter_by(dementia_key = nok_info_record.dementia_info_key).first() + if not dementia_info_record: + print(f"[ERROR] Dementia information not found for nok key({user[0].nok_key})") + + raise HTTPException(status_code=404, detail="Dementia information not found") + + result = { + 'dementiaInfoRecord': { + 'dementiaKey': dementia_info_record.dementia_key, + 'dementiaName': dementia_info_record.dementia_name, + 'dementiaPhoneNumber': dementia_info_record.dementia_phonenumber, + 'updateRate': dementia_info_record.update_rate + }, + 'nokInfoRecord': { + 'nokKey': nok_info_record.nok_key, + 'nokName': nok_info_record.nok_name, + 'nokPhoneNumber': nok_info_record.nok_phonenumber, + 'updateRate': nok_info_record.update_rate + } + } + + response = { + 'status': 'success', + 'message': 'User information sent', + 'result': result + } + + print(f"[INFO] User information sent to {dementia_info_record.dementia_name}({dementia_info_record.dementia_key})") + + else: + print(f"[ERROR] User information not found for nok key({user[0].nok_key})") + + raise HTTPException(status_code=404, detail="User information not found") + + return response + + finally: + session.close() + +@router.get("/locations/meaningful", responses = {200 : {"model" : MeaningfulLocResponse, "description" : "의미장소 전송 성공" }, 404: {"model": ErrorResponse, "description": "의미 장소 없음"}}, description="보호 대상자의 의미 장소 정보 및 주변 경찰서 정보 전달(쿼리 스트링)") +async def send_meaningful_location_info(user_info : int = Depends(APIKeyHeader(name = "Authorization"))): + + try: + _key = jwt.get_current_user(user_info, session)[0].dementia_info_key + + meaningful_location_list = session.query(models.meaningful_location_info).filter_by(dementia_key=_key).all() + + if meaningful_location_list: + meaningful_places_dict = {} + + + for location in meaningful_location_list: + address = location.address + day_of_week = location.day_of_the_week + time = location.time + + # 주소가 이미 존재하는지 확인하고, 없으면 새로운 딕셔너리 엔트리 생성 + if address not in meaningful_places_dict: + # 해당 주소의 경찰서 정보 가져오기(distance 순으로 정렬) + police_list = session.query(models.police_info).filter_by(key = location.key).order_by(models.police_info.distance).limit(3).all() + + #police_list의 num 속성 제거 + for police in police_list: + del police.num + del police.key + + meaningful_places_dict[address] = { + 'address': address, + 'timeInfo': [], + 'latitude': location.latitude, + 'longitude': location.longitude, + 'policeStationInfo' : police_list + } + + # 해당 주소의 시간 정보 리스트에 현재 시간 정보가 없으면 추가 + time_info_list = meaningful_places_dict[address]['timeInfo'] + if {'dayOfTheWeek': day_of_week, 'time': time} not in time_info_list: + time_info_list.append({'dayOfTheWeek': day_of_week, 'time': time}) + + # 결과를 리스트 형태로 변환 + meaningful_places = list(meaningful_places_dict.values()) + + result = { + 'meaningfulPlaces': meaningful_places + } + + response = { + 'status': 'success', + 'message': 'Meaningful location data sent', + 'result': result + } + + print(f"[INFO] Meaningful location data sent to {_key}") + + else: + print(f"[ERROR] Meaningful location data not found for {_key}") + raise HTTPException(status_code=404, detail="Meaningful location data not found") + + return response + + finally: + session.close() + +@router.get("/locations/history", responses = {200 : {"model" : LocHistoryResponse, "description" : "위치 이력 전송 성공" }, 404: {"model": ErrorResponse, "description": "위치 이력 없음"}}, description="보호 대상자의 위치 이력 정보 전달(쿼리 스트링) | date : YYYY-MM-DD") +async def send_location_history(_date : str, user_info : int = Depends(APIKeyHeader(name = "Authorization"))): + _key = jwt.get_current_user(user_info, session)[0].dementia_key + try: + location_list = session.query(models.location_info).filter_by(dementia_key=_key, date=_date).all() + + if not location_list: + print(f"[ERROR] Location history data not found for {_key}") + raise HTTPException(status_code=404, detail="Location history data not found") + + locHistory = [] + prev_location = None + + for location in location_list: + current_location = (location.latitude, location.longitude) + distance = 0 + + if prev_location: + distance = round(haversine(current_location, prev_location, unit='m'), 2) + + if not locHistory or location.user_status != "정지" or locHistory[-1]['userStatus'] != "정지": + locHistory.append({ + 'latitude': location.latitude, + 'longitude': location.longitude, + 'time': location.time, + 'userStatus': location.user_status, + 'distance': distance + }) + else: + locHistory[-1]['time'] = locHistory[-1]['time'][:8] + '~' + location.time + + prev_location = current_location + + result = { + 'locationHistory': locHistory, + } + + response = { + 'status': 'success', + 'message': 'Location history data sent', + 'result': result + } + + + print(f"[INFO] Location history data sent to {_key}") + + finally: + session.close() + + return response + +@router.get("/locations/predict", responses = {200 : {"model" : PredictLocationResponse, "description" : "위치 예측 성공" }, 404: {"model": ErrorResponse, "description": "위치 정보 부족"}}, description="보호 대상자의 다음 위치 예측(쿼리 스트링)") +async def predict_location(user_info : int = Depends(APIKeyHeader(name = "Authorization"))): + dementia_key = jwt.get_current_user(user_info, session)[0].dementia_key + + try: + loc_list = [] + location_list = session.query(models.location_info).filter_by(dementia_key=dementia_key).order_by(models.location_info.num.desc()).limit(10).all() + + for location in location_list: + if location.user_status == "정지": + status = 1 + elif location.user_status == "도보": + status = 2 + elif location.user_status == "차량": + status = 3 + elif location.user_status == "지하철": + status = 4 + else: + status = location.user_status + loc_list.append({ + 'date' : location.date, + 'time': location.time, + 'latitude': location.latitude, + 'longitude': location.longitude, + 'user_status' : status + }) + + loc_list_df = pd.DataFrame(loc_list, columns=['date', 'time', 'latitude', 'longitude', 'user_status']) + + pr = Preprocessing(loc_list_df) + df, meaningful_df = pr.run_analysis() + + test_idx = int(len(df) * 0.8) + df_train = df.iloc[:test_idx] + df_test = df.iloc[test_idx:] + + seq_len = 5 # 150개의 데이터를 feature로 사용 + steps = 5 # 향후 150개 뒤의 y를 예측 + single_output = False + metrics = ["accuracy"] # 모델 성능 지표 + lstm_params = { + "seq_len": seq_len, + "epochs": 100, # epochs 반복 횟수 + "patience": 30, # early stopping 조건 + "steps_per_epoch": 5, # 1 epochs 시 dataset을 5개로 분할하여 학습 + "learning_rate": 0.03, + "lstm_units": [64, 32], # Dense Layer: 2, Unit: (64, 32) + "activation": "softmax", + "dropout": 0, + "validation_split": 0.3, # 검증 데이터셋 30% + } + fl = ForecastLSTMClassification(class_num=len(df['y'].unique())) + model = fl.fit_lstm( + df=df_train, + steps=steps, + single_output=single_output, + verbose=True, + metrics=metrics, + **lstm_params, + ) + y_pred = fl.pred(df=df_test, + steps=steps, + num_classes=len(df['y'].unique()), + seq_len=seq_len, + single_output=single_output) + + print(y_pred) + print(meaningful_df.iloc[y_pred].iloc[-1]) + + pred_loc = meaningful_df.iloc[y_pred].iloc[-1] + + geo = kakao.geo_coord2address(pred_loc.longitude, pred_loc.latitude) + + if not geo['documents'][0]['road_address'] == None: + xy2addr = geo['documents'][0]['road_address']['address_name'] + " " + geo['documents'][0]['road_address']['building_name'] + + else: + xy2addr = geo['documents'][0]['address']['address_name'] + + pol_info = { + "policeName" : "이름", + "policeAddress" : "주소", + "policePhoneNumber" : "전번", + "distance" : "거리", + "latitude" : "위도", + "longitude" : "경도" + } + pred_loc = { + "latitude" : pred_loc.latitude, + "longitude" : pred_loc.longitude, + "address" : xy2addr + } + result = { + "predictLocation" : pred_loc, + "policeInfo" : pol_info + } + response = { + "status" : "susccess", + "message" : "predict complete", + "result" : result + } + + return response + + finally: + session.close() + + +@router.post("/test/fcm", responses = {200 : {"model" : CommonResponse, "description" : "FCM 전송 성공" }}, description="FCM 테스트") +async def send_fcm(title: str, body: str, token: str): + + send_push_notification(token, body, title) + + return { + 'status': 'success', + 'message': 'FCM sent' + } + + +'''#스케줄러 비활성화 +@sched.scheduled_job('cron', hour=1, minute=0, id = 'geocoding') +def geocoding(): + asyncio.run(schedFunc.load_kakao_api(session)) + +@sched.scheduled_job('cron', hour=0, minute=0, id = 'analyze_location_data') +def analyzing_location_data(): + asyncio.run(schedFunc.load_analyze_location_data(session))''' + + diff --git a/backend/fastapi/app/schedularFunc.py b/backend/fastapi/app/schedularFunc.py new file mode 100644 index 00000000..c2e410df --- /dev/null +++ b/backend/fastapi/app/schedularFunc.py @@ -0,0 +1,161 @@ +from app import models +from fastapi import Depends + +from . import models +from .random_generator import RandomNumberGenerator +from .update_user_status import UpdateUserStatus +from .LocationAnalyzer import LocationAnalyzer +from .database import Database +from .config import Config + +from PyKakao import Local + +from datetime import datetime, timedelta +from pytz import timezone + + + + +kakao = Local(service_key=Config.kakao_service_key) + + +class SchedulerFunc: + def __init__(self): + pass + + async def load_analyze_location_data(self, session = Depends(Database().get_session)): + await self.analyze_location_data(session) + + async def load_kakao_api(self, session = Depends(Database().get_session)): + await self.kakao_api(session) + + async def kakao_api(self, session = Depends(Database().get_session)): + try: + print(f"[INFO] Start geocoding") + # db 에서 의미장소 정보 가져오기 + meaningful_location_list = session.query(models.meaningful_location_info).filter_by(address = None).all() + + # dementia_key 별로 분류 + dementia_keys = set([location.dementia_key for location in meaningful_location_list]) + + rng = RandomNumberGenerator() + + # dementia_key별 의미장소 위경도 값으로 주소 변환 후 의미 장소 테이블에 address란에 추가 + address_list = [] + key_dict = {} + for key in dementia_keys: + key_location_list = [location for location in meaningful_location_list if location.dementia_key == key] + for location in key_location_list: + geo = kakao.geo_coord2address(location.longitude, location.latitude) + if not geo['documents'][0]['road_address'] == None: + xy2addr = geo['documents'][0]['road_address']['address_name'] + " " + geo['documents'][0]['road_address']['building_name'] + + else: + xy2addr = geo['documents'][0]['address']['address_name'] + + location.address = xy2addr + + if xy2addr not in address_list: + address_list.append(xy2addr) + new_key = rng.generate_unique_random_number(100000, 999999) + key_dict[xy2addr] = str(new_key) + location.key = str(new_key) + police = kakao.search_keyword("경찰서", x = location.longitude, y = location.latitude, sort = 'distance') + + police_list = [] + if police['meta']['total_count'] == 0: + print(f"[INFO] No police station found near {xy2addr}") + else: + for pol in police['documents']: + if not pol['road_address_name'] == None: + poladdr = pol['address_name'] + " " + pol['place_name'] + + else: + poladdr = pol['road_address_name'] + " " + pol['place_name'] + + if not pol['phone'] == '': + new_police = models.police_info( + policeName = pol['place_name'], + policeAddress = poladdr, + policePhoneNumber = pol['phone'], + distance = pol['distance'], + latitude = pol['y'], + longitude = pol['x'], + key = str(new_key) + ) + police_list.append(new_police) + else: + pass + + session.add_all(police_list) + else: + location.key = key_dict[xy2addr] + + session.commit() + print(f"[INFO] Geocoding completed") + + except Exception as e: + print(f"[ERROR] Geocoding failed: {e}") + raise e + + finally: + session.close() + + async def analyze_location_data(self, session = Depends(Database().get_session)): + seoul_timezone = timezone('Asia/Seoul') + now = datetime.now(seoul_timezone) + + # 어제의 날짜 계산하고 포맷팅 + yesterday = now - timedelta(days=1) + yesterday_str = yesterday.strftime('%Y-%m-%d') + + print(f"[INFO] Start analyzing location data at {yesterday_str}") + + try: + location_list = session.query(models.location_info).filter(models.location_info.date == yesterday_str).all() + + print(f"[INFO] {len(location_list)} location data found") + + errfile = f'error_{yesterday_str}.txt' + if location_list: + dementia_keys = set([location.dementia_key for location in location_list]) + for key in dementia_keys: + key_location_list = [location for location in location_list if location.dementia_key == key] + + if len(key_location_list) <= 100: + with open(errfile, 'a') as file: + file.write(f'{key} dementia location data not enough\n') + continue + + filename = f'location_data_for_dementia_key_{key}_{yesterday_str}.txt' + with open(filename, 'w') as file: + for location in key_location_list: + file.write(f'{location.latitude},{location.longitude},{location.date},{location.time}\n') + + LA = LocationAnalyzer(filename) + prediction = LA.gmeansFunc() + + meaningful_location_list = [] + for i in range(len(prediction) - 1): + new_meaningful_location = models.meaningful_location_info( + dementia_key=key, + latitude = prediction[i][0][0], + longitude = prediction[i][0][1], + time = prediction[i][2], + day_of_the_week = prediction[i][3] + ) + meaningful_location_list.append(new_meaningful_location) + + session.add_all(meaningful_location_list) + + print(f"[INFO] Meaningful location data saved for {key}") + + else: + print("[ERROR] Location data not found") + pass + + #session.commit() + print(f"[INFO] Location data analysis completed at {yesterday_str}") + + finally: + session.close() \ No newline at end of file diff --git a/backend/fastapi/app/update_user_status.py b/backend/fastapi/app/update_user_status.py new file mode 100644 index 00000000..9e93fb5c --- /dev/null +++ b/backend/fastapi/app/update_user_status.py @@ -0,0 +1,37 @@ +import json +import pandas as pd +import pickle +from .bodymodel import ReceiveLocationRequest + +class UpdateUserStatus: + def __init__(self): + + model_filename = 'app/random_forest_model_mk2.pkl' + with open(model_filename, 'rb') as model_file: + self.model = pickle.load(model_file) + + def predict(self, accel, gyro, direction): + # 전처리 함수 호출 + preprocessed_data = self.preprocessing(accel, gyro, direction) + + # 모델 예측 + prediction = self.model.predict(preprocessed_data) + return prediction + + def preprocessing(self, accel, gyro, direction): + + processed_data = [{ + 'x1': accel[0], + 'y1': accel[1], + 'z1': accel[2], + 'x2': gyro[0], + 'y2': gyro[1], + 'z2': gyro[2], + 'x3': direction[0], + 'y3': direction[1], + 'z3': direction[2], + }] + + df = pd.DataFrame(processed_data) + + return df diff --git a/backend/fastapi/app/util.py b/backend/fastapi/app/util.py new file mode 100644 index 00000000..e2fb72e9 --- /dev/null +++ b/backend/fastapi/app/util.py @@ -0,0 +1,108 @@ +from .database import Database +from .config import Config +from fastapi import Depends, HTTPException +from fastapi.security import OAuth2PasswordBearer +from datetime import timedelta, datetime +from jose import JWTError, jwt +from pytz import timezone +from . import models + + +class JWTService: + + def __init__( + self, + secret_key: str = Config.SECRET_KEY, + algorithm: str = Config.ALGORITHM, + access_token_expire_minutes: int = Config.ACCESS_TOKEN_EXPIRE_MINUTES, + refresh_token_expire_minutes: int = Config.REFRESH_TOCKEN_EXPIRE_MINUTES, + encoder = jwt.encode, + decoder = jwt.decode + ): + self.secret_key = secret_key + self.algorithm = algorithm + self.access_token_expire_minutes = access_token_expire_minutes + self.refresh_token_expire_minutes = refresh_token_expire_minutes + self.encoder = encoder + self.decoder = decoder + + def get_user(self, userName, key, session = Depends(Database().get_session)): + try: + userInfo = session.query(models.nok_info).filter_by(nok_name = userName, nok_key = key).first() + + if userInfo: + return userInfo, "nok" + else: + userInfo = session.query(models.dementia_info).filter_by(dementia_name = userName, dementia_key = key).first() + + if userInfo: + return userInfo, "dementia" + else: + return None + + except Exception as e: + print(f"[ERROR] User information not found") + raise HTTPException(status_code=404, detail="User information not found") + + finally: + session.close() + + def create_access_token(self, name : str, key : str) -> str: + return self._create_token(name, key, self.access_token_expire_minutes) + + def create_refresh_token(self, name: str, key : str) -> str: + return self._create_token(name, key, self.refresh_token_expire_minutes) + + def _create_token(self, name : str, key : str, expires_delta: int) -> str: + data = { + "name": name, + "key": key, + "exp": datetime.utcnow() + timedelta(minutes = expires_delta) + } + return self.encoder(data, self.secret_key, self.algorithm) + + def check_token_expired(self, token: str) -> dict: + payload = self.decoder(token, self.secret_key, self.algorithm) + + now = datetime.timestamp(datetime.now(timezone('Asia/Seoul'))) + if payload and payload["exp"] < now: + return None + + return payload + + def get_current_user(self, token: str = Depends(OAuth2PasswordBearer(tokenUrl="/login")), session = Depends(Database().get_session)): + try: + + if not self.check_token_expired(token): + raise HTTPException( + status_code=401, + detail="Expired token", + headers={"WWW-Authenticate": "Bearer"} + ) + else: + pass + + if session.query(models.refresh_token_info).filter_by(refresh_token = token).first(): + new_token = self.create_access_token(username, key) + else: + new_token = None + + payload = self.decoder(token, self.secret_key, self.algorithm) + + username: str = payload.get("name") + key : str = payload.get("key") + + if username is None: + raise HTTPException(status_code=401, detail="asdasd") + + user, user_type = self.get_user(username, payload.get("key"), session) + + if user is None: + raise HTTPException(status_code=404, detail="User not found") + + # 에러 내용 전송 + except JWTError as e: + print(f"[ERROR] {e}") + raise HTTPException(status_code=401, detail=str(e), headers={"WWW-Authenticate": "Bearer"}) + + return user, user_type, new_token \ No newline at end of file diff --git a/backend/fastapi/requirements.txt b/backend/fastapi/requirements.txt new file mode 100644 index 00000000..ef5681e0 --- /dev/null +++ b/backend/fastapi/requirements.txt @@ -0,0 +1,20 @@ +tensorflow==2.16.1 +fastapi==0.110.0 +uvicorn==0.29.0 +SQLAlchemy==2.0.29 +PyMySQL==1.1.0 +scikit-learn==1.3.2 +mysql==0.0.3 +mysqlclient==2.2.4 +APScheduler==3.10.4 +pyclustering==0.10.1.2 +DateTime==5.2 +mangum==0.17.0 +PyKakao==0.0.7 +python-jose==3.3.0 +python-multipart==0.0.9 +passlib==1.7.4 +bcrypt==4.1.2 +haversine==2.8.1 +pyfcm==1.5.4 +folium==0.16.0 diff --git a/backend/fastapi/run.py b/backend/fastapi/run.py new file mode 100644 index 00000000..03490051 --- /dev/null +++ b/backend/fastapi/run.py @@ -0,0 +1,7 @@ +import uvicorn +from app import create_app + +app = create_app() + +if __name__ == "__main__": + uvicorn.run("app:app", host="127.0.0.1", port=5000, reload=True) \ No newline at end of file diff --git a/backend/flask/Dockerfile b/backend/flask/Dockerfile new file mode 100644 index 00000000..f312e18c --- /dev/null +++ b/backend/flask/Dockerfile @@ -0,0 +1,14 @@ +# base image +FROM python:3.9 + +# set work directory +WORKDIR /usr/src/app + +# copy source code to work directory +COPY . . + +# install dependencies +RUN pip install --no-cache-dir -r requirements.txt + +# command to run on container start +CMD ["gunicorn", "-b", "0.0.0.0:5000", "-w", "2", "--max-requests", "1000", "-k", "sync", "run:app"] diff --git a/backend/flask/app/LocationAnalyzer.py b/backend/flask/app/LocationAnalyzer.py new file mode 100644 index 00000000..ccf4699d --- /dev/null +++ b/backend/flask/app/LocationAnalyzer.py @@ -0,0 +1,119 @@ +from pyclustering.cluster.gmeans import gmeans +from collections import Counter +import numpy as np +import pandas as pd +import warnings + +warnings.simplefilter(action='ignore', category=FutureWarning) # FutureWarning 제거 + +pd.set_option('mode.chained_assignment', None) + +class LocationAnalyzer: + def __init__(self, filename): + self.df = self.fileReader(filename) + + # 파일 읽기 + # 데이터 예시 (39.984702,116.318417,0,492,39744.1201851852,2008-10-23,02:53:04) + # (위도, 경도, 0, 고도, 1899년 이후 경과한 시간, 날짜, 시간) + def fileReader(self, filename): + + latitude = [] # 위도 + longitude = [] # 경도 + date = [] # 날짜 + time = [] # 시간 + + with open(filename, 'r') as file: + data = file.read() + + # 데이터에 불필요한 부분 제거 + # 추후 데이터 형식에 따라 수정 필요 * + data = data.split('\n')[:-1] + # data = data.split('\n')[6:-1] + for i in range(len(data)): + line = data[i].split(',') + latitude.append(line[0]) # 위도 + longitude.append(line[1]) # 경도 + date.append(line[2]) # 날짜 + time.append(line[3]) # 시간 + # date.append(line[5]) + # time.append(line[6]) + df = pd.DataFrame({"latitude":latitude, "longitude":longitude, "date":date, "time":time}) + + + df['latitude'] = df['latitude'].astype(float) + df['longitude'] = df['longitude'].astype(float) + df['datetime'] = pd.to_datetime(df['date'] + ' ' + df['time'], format='%Y-%m-%d %H:%M:%S') + df['datetime'] = df['datetime'].dt.floor('T') + # 시간대와 요일 추가 + # 시간대 형식 : f00t04 f20t24 + # 4시간 단위로 분리 + df['hour_block'] = 'f' + ((df['datetime'].dt.hour) // 4 * 4).astype(str).str.zfill(2) + 't' + ((df['datetime'].dt.hour + 4) // 4 * 4).astype(str).str.zfill(2) + df['day_of_week'] = df['datetime'].dt.day_name() + df = df.drop(['date', 'time'], axis=1) + df = df.drop_duplicates(['datetime'], ignore_index=True) + + return df + + # 의미장소 추출 + def gmeansFit(self, df): + # 두 열을 선택하고 넘파이 배열로 변환 + selectedColumns = ['latitude', 'longitude'] + resultList = df[selectedColumns].values.tolist() # 리스트로 변환 + + gmeansInstance = gmeans(resultList).process() # 클러스터링 + + centers = gmeansInstance.get_centers() # 클러스터의 중심 (의미장소) + clusters = gmeansInstance.get_clusters() # 분류된 클러스터 + + + return clusters, centers + + # 호출 함수 + def gmeansFunc(self): + + + clusters, centers = self.gmeansFit(self.df) + + data_df = pd.DataFrame({"clusters":clusters, "centers":centers}) + + for k in range(len(data_df.clusters)): + if (len(data_df.clusters[k]) < 10): + data_df.drop(index=k, inplace=True) + data_df = data_df.sort_index(axis=1) + data_df = data_df.reset_index(drop=True) + + self.df['clusterNo'] = -1 + for i in range(len(data_df)): + for j in range(len(data_df['clusters'].iloc[i])): + k = data_df['clusters'].iloc[i][j] + self.df['clusterNo'].iloc[k] = i + + self.df = self.df[self.df['clusterNo'] != -1] + + + data_df['hour_block'] = 0 + data_df['day_of_week'] = 0 + for i in range(max(self.df['clusterNo'])+1): + + counter = Counter(self.df[self.df['clusterNo'] == i]['hour_block']) + most_hour_value = counter.most_common(1)[0][0] + + counter = Counter(self.df[self.df['clusterNo'] == i]['day_of_week']) + most_day_value = counter.most_common(1)[0][0] + + data_df['hour_block'].iloc[i] = most_hour_value + data_df['day_of_week'].iloc[i] = most_day_value + + data_list = data_df.values.tolist() + return data_list + + + +if __name__ == '__main__': + # 파일 경로 가져오기 + filePath = r"C:\Users\sk002\OneDrive\바탕 화면\학교\Yoodori\Geolife Trajectories 1.3\Data\003\Trajectory\20081202160051.txt" + la = LocationAnalyzer(filePath) + + data = la.gmeansFunc() + + print(data) diff --git a/backend/flask/app/__init__.py b/backend/flask/app/__init__.py new file mode 100644 index 00000000..74e04cae --- /dev/null +++ b/backend/flask/app/__init__.py @@ -0,0 +1,58 @@ +from flask import Flask +from flask_sqlalchemy import SQLAlchemy +from flask_cors import CORS +from .config import Config +from .extentions import scheduler +import logging +import os + +db = SQLAlchemy() +app = Flask(__name__) + + +def create_app(): + + def is_debug_mode(): + """Get app debug status.""" + debug = os.environ.get("FLASK_DEBUG") + if not debug: + return os.environ.get("FLASK_ENV") == "development" + return debug.lower() not in ("0", "false", "no") + + def is_werkzeug_reloader_process(): + """Get werkzeug status.""" + return os.environ.get("WERKZEUG_RUN_MAIN") == "true" + + app = Flask(__name__) + app.config.from_object(Config) + scheduler.init_app(app) + logging.getLogger("apscheduler").setLevel(logging.INFO) + + CORS(app) + + # 다른 설정 및 확장 추가 가능 + db.init_app(app) + + # Flask 애플리케이션 컨텍스트 설정 + with app.app_context(): + from .routes import nok_info_routes, dementia_info_routes, is_connected_routes, location_info_routes, send_location_info_routes, user_login_routes, user_info_modification_routes, caculate_dementia_avarage_walking_speed_routes, get_user_info_routes, update_rate_routes, send_meaningful_location_info_routes, send_location_history_rotues + app.register_blueprint(nok_info_routes) + app.register_blueprint(dementia_info_routes) + app.register_blueprint(is_connected_routes) + app.register_blueprint(location_info_routes) + app.register_blueprint(send_location_info_routes) + app.register_blueprint(user_login_routes) + app.register_blueprint(user_info_modification_routes) + app.register_blueprint(caculate_dementia_avarage_walking_speed_routes) + app.register_blueprint(get_user_info_routes) + app.register_blueprint(update_rate_routes) + app.register_blueprint(send_meaningful_location_info_routes) + app.register_blueprint(send_location_history_rotues) + + + scheduler.start() + + + + + return app \ No newline at end of file diff --git a/backend/flask/app/analyzer_scheduler.py b/backend/flask/app/analyzer_scheduler.py new file mode 100644 index 00000000..1e11f92d --- /dev/null +++ b/backend/flask/app/analyzer_scheduler.py @@ -0,0 +1,58 @@ +from .models import db, location_info, meaningful_location_info +from .LocationAnalyzer import LocationAnalyzer +import datetime + +class AnalyzerScheduler: + def __init__(self): + pass + + def analyze_meaningful_location(self): + try: + today = datetime.datetime.now() + test = today - datetime.timedelta(days=3) + test = test.strftime('%Y-%m-%d') + print('[system] {} dementia meaningful location data analysis started'.format(test)) + + location_list = location_info.query.filter(location_info.date == test).order_by(location_info.dementia_key.desc()).all() + + print('[system] {} dementia location data loaded successfully'.format(test)) + errfile = f'error_{test}.txt' + if location_list: + dementia_keys = set([location.dementia_key for location in location_list]) + for key in dementia_keys: + key_location_list = [location for location in location_list if location.dementia_key == key] + + if len(key_location_list) <= 100: + with open(errfile, 'a') as file: + file.write(f'{key} dementia location data not enough\n') + continue + + filename = f'location_data_for_dementia_key_{key}_{today}.txt' + with open(filename, 'w') as file: + for location in key_location_list: + file.write(f'{location.latitude},{location.longitude},{location.date},{location.time}\n') + + LA = LocationAnalyzer(filename) + predict_meaningful_location_data = LA.gmeansFunc() + + meaningful_location_record = [] + for i in range(len(predict_meaningful_location_data)-1): + new_meaningful_location = meaningful_location_info( + dementia_key=key, + latitude=predict_meaningful_location_data[i][1], + longitude=predict_meaningful_location_data[i][1] + ) + meaningful_location_record.append(new_meaningful_location) + + print(meaningful_location_record) + + print(f'[system] {key} dementia meaningful location data saved successfully') + + else: + print("location_list가 비어 있습니다.") + + print('[system] {} dementia meaningful location data analysis finished'.format(test)) + + except Exception as e: + print(e) + return e diff --git a/backend/flask/app/extentions.py b/backend/flask/app/extentions.py new file mode 100644 index 00000000..fe681389 --- /dev/null +++ b/backend/flask/app/extentions.py @@ -0,0 +1,3 @@ +from flask_apscheduler import APScheduler + +scheduler = APScheduler() \ No newline at end of file diff --git a/backend/flask/app/models.py b/backend/flask/app/models.py new file mode 100644 index 00000000..e378ce13 --- /dev/null +++ b/backend/flask/app/models.py @@ -0,0 +1,51 @@ +from . import db +from geoalchemy2 import Geometry + +class nok_info(db.Model): + num = db.Column(db.Integer, primary_key=True, autoincrement=True) + nok_key = db.Column(db.String(20), unique=True) + nok_name = db.Column(db.String(255)) + nok_phonenumber = db.Column(db.String(20)) + dementia_info_key = db.Column(db.String(20), db.ForeignKey('dementia_info.dementia_key')) + dementia_info = db.relationship('dementia_info', back_populates='nok_info') + +class dementia_info(db.Model): + num = db.Column(db.Integer, primary_key=True, autoincrement=True) + dementia_key = db.Column(db.String(20), unique=True) + dementia_name = db.Column(db.String(255)) + dementia_phonenumber = db.Column(db.String(20)) + nok_info = db.relationship('nok_info', back_populates='dementia_info') + + +class location_info(db.Model): + num = db.Column(db.Integer, primary_key=True, autoincrement=True) + dementia_key = db.Column(db.String(20)) + date = db.Column(db.String(20)) + time = db.Column(db.String(20)) + latitude = db.Column(db.Double) + longitude = db.Column(db.Double) + bearing = db.Column(db.Float) + user_status = db.Column(db.Integer) # 1: 정지, 2: 도보, 3: 차량, 4: 지하철 + accelerationsensor_x = db.Column(db.Float) + accelerationsensor_y = db.Column(db.Float) + accelerationsensor_z = db.Column(db.Float) + directionsensor_x = db.Column(db.Float) + directionsensor_y = db.Column(db.Float) + directionsensor_z = db.Column(db.Float) + gyrosensor_x = db.Column(db.Float) + gyrosensor_y = db.Column(db.Float) + gyrosensor_z = db.Column(db.Float) + lightsensor = db.Column(db.Float) + battery = db.Column(db.Integer) + isInternetOn = db.Column(db.Boolean) + isRingstoneOn = db.Column(db.Integer) + isGpsOn = db.Column(db.Boolean) + current_speed = db.Column(db.Float) + +class meaningful_location_info(db.Model): + num = db.Column(db.Integer, primary_key=True, autoincrement=True) + dementia_key = db.Column(db.String(20)) + day_of_the_week= db.Column(db.String(20)) + time = db.Column(db.String(20)) + latitude = db.Column(db.Double) + longitude = db.Column(db.Double) diff --git a/backend/flask/app/random_forest_model.pkl b/backend/flask/app/random_forest_model.pkl new file mode 100644 index 00000000..4af1e9a7 Binary files /dev/null and b/backend/flask/app/random_forest_model.pkl differ diff --git a/backend/flask/app/random_forest_model_mk2.pkl b/backend/flask/app/random_forest_model_mk2.pkl new file mode 100644 index 00000000..1e423ab2 Binary files /dev/null and b/backend/flask/app/random_forest_model_mk2.pkl differ diff --git a/backend/flask/app/random_generator.py b/backend/flask/app/random_generator.py new file mode 100644 index 00000000..2185f78a --- /dev/null +++ b/backend/flask/app/random_generator.py @@ -0,0 +1,12 @@ +import random + +class RandomNumberGenerator: + def __init__(self): + self.used_numbers = set() + + def generate_unique_random_number(self, lower_bound, upper_bound): + while True: + random_number = random.randint(lower_bound, upper_bound) + if random_number not in self.used_numbers: + self.used_numbers.add(random_number) + return random_number \ No newline at end of file diff --git a/backend/flask/app/routes.py b/backend/flask/app/routes.py new file mode 100644 index 00000000..6124a271 --- /dev/null +++ b/backend/flask/app/routes.py @@ -0,0 +1,629 @@ +from flask import Blueprint, request, jsonify +from .models import db, dementia_info, nok_info, location_info, meaningful_location_info +from .random_generator import RandomNumberGenerator +from .update_user_status import UpdateUserStatus +from .LocationAnalyzer import LocationAnalyzer +from sqlalchemy import and_ +from .extentions import scheduler + +import datetime +import json + + + +# 블루프린트 생성 +nok_info_routes = Blueprint('nok_info_routes', __name__) +dementia_info_routes = Blueprint('dementia_info_routes', __name__) +is_connected_routes = Blueprint('is_connected_routes', __name__) +location_info_routes = Blueprint('location_info_routes', __name__) +send_location_info_routes = Blueprint('send_live_location_info_routes', __name__) +user_login_routes = Blueprint('user_login_routes', __name__) +user_info_modification_routes = Blueprint('user_info_modification_routes', __name__) +caculate_dementia_avarage_walking_speed_routes = Blueprint('caculate_dementia_avarage_walking_speed', __name__) +get_user_info_routes = Blueprint('get_user_info', __name__) +update_rate_routes = Blueprint('update_rate', __name__) +send_meaningful_location_info_routes = Blueprint('send-meaningful-location-info', __name__) +send_location_history_rotues = Blueprint('send-location-history', __name__) + +# 상태코드 정의 +SUCCESS = 200 +KEYNOTFOUND = 600 +LOGINSUCCESS = 700 +LOGINFAILED = 750 +UNDEFERR = 500 + +@nok_info_routes.route('/receive-nok-info', methods=['POST']) +def receive_nok_info(): + try: + nok_data = request.json + _keyfromdementia = nok_data.get('keyFromDementia') + rng = RandomNumberGenerator() + print(_keyfromdementia) + + # 인증번호 중복 여부 확인 + existing_dementia = dementia_info.query.filter_by(dementia_key=_keyfromdementia).first() + print('[system] current : {}'.format(existing_dementia)) + + if existing_dementia: + print('[system] dementia key found({:s})'.format(_keyfromdementia)) + + # 이미 등록된 인증번호에 해당하는 환자 정보가 있을 경우, 해당 환자의 key 값을 가져옴 + _nok_name = nok_data.get('name') + _nok_phonenumber = nok_data.get('phoneNumber') + + duplication_check = nok_info.query.filter(and_(nok_info.nok_name == _nok_name, nok_info.nok_phonenumber == _nok_phonenumber, nok_info.dementia_info_key == _keyfromdementia)).first() + if duplication_check: + + _key = duplication_check.nok_key + + else: + for _ in range(10): + unique_random_number = rng.generate_unique_random_number(100000, 999999) + + _key = str(unique_random_number) # 키 값을 문자열로 변환 + print('[system] nok_key({:s})', _key) + + new_user = nok_info(nok_key=_key, nok_name=nok_data.get('name'), nok_phonenumber=nok_data.get('phoneNumber'), dementia_info_key = _keyfromdementia) + db.session.add(new_user) + db.session.commit() + + + result = { + 'dementiaInfoRecord' : { + 'dementiaKey' : existing_dementia.dementia_key, + 'dementiaName': existing_dementia.dementia_name, + 'dementiaPhoneNumber': existing_dementia.dementia_phonenumber + }, + 'nokKey': _key + + } + + + print('[system] {:s} nok info successfully uploaded'.format(nok_data.get('name'))) + + response_data = {'status': 'success', 'message': 'Next of kin data received successfully', 'result': result} + + return jsonify(response_data), SUCCESS, {'Content-Type': 'application/json; charset = utf-8' } + + else: + # 인증번호가 등록되지 않은 경우, 오류 전송 + print('[system] dementia key not found') + + response_data = {'status': 'error', 'message': 'Certification number not found'} + + return jsonify(response_data), KEYNOTFOUND , {'Content-Type': 'application/json; charset = utf-8' } + + except Exception as e: + response_data = {'status': 'error', 'message': str(e)} + return jsonify(response_data), UNDEFERR, {'Content-Type': 'application/json; charset = utf-8' } + +@dementia_info_routes.route('/receive-dementia-info', methods=['POST']) +def receive_dementia_info(): + try: + dementia_data = request.json + + rng = RandomNumberGenerator() + + _dementia_name = dementia_data.get('name') + _dementia_phonenumber = dementia_data.get('phoneNumber') + + duplicate_dementia = dementia_info.query.filter_by(dementia_phonenumber = _dementia_phonenumber).first() # 전화번호는 고유값이므로 전화번호로 중복 확인 + if duplicate_dementia: + + _dementia_key = duplicate_dementia.dementia_key + + result = { + 'dementiaKey' : _dementia_key + } + response_data = {'status': 'success', 'message': 'Dementia paitient data received successfully', 'result': result} + + print('[system] dementia info {} already exists'.format(_dementia_name)) + else: + # 인증번호 생성 + for _ in range(10): + unique_random_numberfordementia = rng.generate_unique_random_number(100000, 999999) + + _dementia_key = str(unique_random_numberfordementia) # 키 값을 문자열로 변환 + + new_user = dementia_info(dementia_key=_dementia_key, dementia_name = _dementia_name, dementia_phonenumber=_dementia_phonenumber) + result = { + 'dementiaKey' : _dementia_key + } + db.session.add(new_user) + db.session.commit() + + print('[system] {:s} dementia info successfully uploaded'.format(_dementia_name)) + response_data = {'status': 'success', 'message': 'Dementia paitient data received successfully', 'result': result} + + + return jsonify(response_data), SUCCESS, {'Content-Type': 'application/json; charset = utf-8' } + + except Exception as e: + response_data = {'status': 'error', 'message': str(e)} + return jsonify(response_data), UNDEFERR, {'Content-Type': 'application/json; charset = utf-8' } + +@is_connected_routes.route('/is-connected', methods=['POST']) +def is_connected(): + try: + connection_request = request.json + _dementia_key = connection_request.get('dementiaKey') + + existing_dementia = nok_info.query.filter_by(dementia_info_key=_dementia_key).first() + + if existing_dementia: #조회에 성공한 경우 nok 정보를 가져와 전송 + result = { + 'nokInfoRecord' : { + 'nokKey': existing_dementia.nok_key, + 'nokName': existing_dementia.nok_name, + 'nokPhoneNumber': existing_dementia.nok_phonenumber + } + } + response_data = {'status': 'success', 'message': 'Connected successfully', 'result' : result} + + return jsonify(response_data), SUCCESS, {'Content-Type': 'application/json; charset = utf-8' } + + else: + response_data = {'status': 'error', 'message': 'Connection failed'} + + return jsonify(response_data), KEYNOTFOUND, {'Content-Type': 'application/json; charset = utf-8' } + + except Exception as e: + response_data = {'status': 'error', 'message': str(e)} + return jsonify(response_data), UNDEFERR, {'Content-Type': 'application/json; charset = utf-8' } + +@user_login_routes.route('/receive-user-login', methods=['POST']) +def receive_user_login(): + response_data = {} + try: + data = request.json + + _key = data.get('key') + _isdementia = data.get('isDementia') # 0: NOK, 1: dementia + + if _isdementia == 0: # nok일 경우 + existing_nok = nok_info.query.filter_by(nok_key=_key).first() + if existing_nok: + response_data = {'status': 'success', 'message': 'Login success'} + + return jsonify(response_data), LOGINSUCCESS, {'Content-Type': 'application/json; charset = utf-8' } + + else: + response_data = {'status': 'error', 'message': 'Login failed'} + + return jsonify(response_data), LOGINFAILED, {'Content-Type': 'application/json; charset = utf-8' } + + + elif _isdementia == 1: # dementia일 경우 + existing_dementia = dementia_info.query.filter_by(dementia_key=_key).first() + if existing_dementia: + response_data = {'status': 'success', 'message': 'Login success'} + + return jsonify(response_data), LOGINSUCCESS, {'Content-Type': 'application/json; charset = utf-8' } + + else: + response_data = {'status': 'error', 'message': 'Login failed'} + + return jsonify(response_data), LOGINFAILED, {'Content-Type': 'application/json; charset = utf-8' } + + except Exception as e: + response_data = {'status': 'error', 'message': str(e)} + return jsonify(response_data), UNDEFERR, {'Content-Type': 'application/json; charset = utf-8' } + +@location_info_routes.route('/receive-location-info', methods=['POST']) +def receive_location_info(): + try: + data = request.json + json_data = json.dumps(data) + + _dementia_key = data.get('dementiaKey') + + existing_dementia = dementia_info.query.filter_by(dementia_key=_dementia_key).first() + + if existing_dementia: + # UpdateUserStatus 클래스의 인스턴스 생성 + user_status_updater = UpdateUserStatus() + + lightsensor = data.get('lightsensor') + + # 예측 수행 + prediction = user_status_updater.predict(json_data) + + new_location = location_info( + dementia_key=data.get('dementiaKey'), + date=data.get('date'), + time=data.get('time'), + latitude=data.get('latitude'), + longitude=data.get('longitude'), + bearing = data.get('bearing'), + user_status=int(prediction[0]), # 예측 결과로 업데이트 + accelerationsensor_x=accelerationsensor[0], + accelerationsensor_y=accelerationsensor[1], + accelerationsensor_z=accelerationsensor[2], + gyrosensor_x=gyrosensor[0], + gyrosensor_y=gyrosensor[1], + gyrosensor_z=gyrosensor[2], + directionsensor_x=directionsensor[0], + directionsensor_y=directionsensor[1], + directionsensor_z=directionsensor[2], + lightsensor=lightsensor[0], + battery=data.get('battery'), + isInternetOn=data.get('isInternetOn'), + isGpsOn=data.get('isGpsOn'), + isRingstoneOn=data.get('isRingstoneOn'), + current_speed = data.get('currentSpeed') + ) + + print(int(prediction[0])) + + db.session.add(new_location) + db.session.commit() + + print("[system] {} {}".format(data.get("dementiaKey"), int(prediction[0]))) + + response_data = {'status': 'success', 'message': 'Location data received successfully'} + + return jsonify(response_data), SUCCESS, {'Content-Type': 'application/json; charset = utf-8' } + + else: + response_data = {'status': 'error', 'message': 'Dementia info not found'} + + return jsonify(response_data), KEYNOTFOUND, {'Content-Type': 'application/json; charset = utf-8' } + + except Exception as e: + print(e) + response_data = {'status': 'error', 'message': str(e)} + return jsonify(response_data), UNDEFERR, {'Content-Type': 'application/json; charset = utf-8' } + +@send_location_info_routes.route('/send-live-location-info', methods=['GET']) +def send_location_info(): + try: + + dementia_key = request.args.get('dementiaKey') + + latest_location = location_info.query.filter_by(dementia_key=dementia_key).order_by(location_info.date.desc()).first() + + if latest_location: + result = { + 'status': 'success', + 'message': 'Location data sent successfully', + 'latitude': latest_location.latitude, + 'longitude': latest_location.longitude, + 'bearing': latest_location.bearing, + 'currentSpeed': latest_location.current_speed, + 'userStatus': latest_location.user_status, # 1: 정지, 2: 도보, 3: 차량, 4: 지하철 + 'battery': latest_location.battery, + 'isInternetOn': latest_location.isInternetOn, + 'isGpsOn': latest_location.isGpsOn, + 'isRingstoneOn': latest_location.isRingstoneOn # 0 : 무음, 1 : 진동, 2 : 벨소리 + } + response_data = {'status': 'success', 'message': 'Location data sent successfully', 'result': result} + + return jsonify(response_data), SUCCESS, {'Content-Type': 'application/json; charset = utf-8' } + else: + response_data = {'status': 'error', 'message': 'Location data not found'} + + return jsonify(response_data), KEYNOTFOUND, {'Content-Type': 'application/json; charset = utf-8' } + + except Exception as e: + response_data = {'status': 'error', 'message': str(e)} + return jsonify(response_data), UNDEFERR + +@user_info_modification_routes.route('/modify-user-info', methods=['POST']) +def modify_user_info(): + try: + response_data = {} + data = request.json + + is_dementia = data.get('isDementia') + before_name = data.get('name') + before_phonenumber = data.get('phoneNumber') + + if is_dementia == 0: # 보호자 + existing_nok = nok_info.query.filter_by(nok_key=data.get('key')).first() + if existing_nok: + + # 수정된 정보를 제외한 나머지 정보들은 기존의 값을 그대로 수신 + if not existing_nok.nok_name == before_name: + existing_nok.nok_name = before_name + + if not existing_nok.nok_phonenumber == before_phonenumber: + existing_nok.nok_phonenumber = before_phonenumber + + db.session.commit() + print('[system] NOK info modified successfully') + response_data = {'status': 'success', 'message': 'User info modified successfully'} + + return jsonify(response_data), SUCCESS, {'Content-Type': 'application/json; charset = utf-8' } + + else: + print('[system] NOK info not found') + response_data = {'status': 'error', 'message': 'User info not found'} + + return jsonify(response_data), KEYNOTFOUND, {'Content-Type': 'application/json; charset = utf-8' } + + elif is_dementia == 1: # 보호 대상자 + existing_dementia = dementia_info.query.filter_by(dementia_key=data.get('key')).first() + if existing_dementia: + if not existing_dementia.dementia_name == before_name: + existing_dementia.dementia_name = before_name + + if not existing_dementia.dementia_phonenumber == before_phonenumber: + existing_dementia.dementia_phonenumber = before_phonenumber + + + db.session.commit() + print('[system] Dementia info modified successfully') + response_data = {'status': 'success', 'message': 'User info modified successfully'} + + return jsonify(response_data), SUCCESS, {'Content-Type': 'application/json; charset = utf-8' } + + else: + print('[system] Dementia info not found') + response_data = {'status': 'error', 'message': 'User info not found'} + + return jsonify(response_data), KEYNOTFOUND, {'Content-Type': 'application/json; charset = utf-8' } + + except Exception as e: + response_data = {'status': 'error', 'message': str(e)} + return jsonify(response_data), UNDEFERR, {'Content-Type': 'application/json; charset = utf-8' } + +@update_rate_routes.route('/update-rate', methods=['POST']) +def modify_updating_rate(): + try: + data = request.json + + is_dementia = data.get('isDementia') + _key = data.get('key') + _update_rate = data.get('updateRate') + + # 보호자와 보호대상자 테이블 모두 업데이트 + + if is_dementia == 0: # 보호자 + existing_nok = nok_info.query.filter_by(nok_key=_key).first() + if existing_nok: + + connected_dementia = dementia_info.query.filter_by(dementia_key = existing_nok.dementia_info_key).first() + existing_nok.update_rate = _update_rate + connected_dementia.update_rate = _update_rate + + else: + response_data = {'status': 'error', 'message': 'User info not found'} + return jsonify(response_data), KEYNOTFOUND, {'Content-Type': 'application/json; charset = utf-8' } + + elif is_dementia == 1: # 보호 대상자 + existing_dementia = dementia_info.query.filter_by(dementia_key=_key).first() + if existing_dementia: + + connected_nok = nok_info.query.filter_by(dementia_info_key = existing_dementia.dementia_key).all() + existing_dementia.update_rate = _update_rate + for nok in connected_nok: + nok.update_rate = _update_rate + + else: + response_data = {'status': 'error', 'message': 'User info not found'} + return jsonify(response_data), KEYNOTFOUND, {'Content-Type': 'application/json; charset = utf-8' } + + db.session.commit() + + response_data = {'status': 'success', 'message': 'Update rate successfully'} + + json_response = jsonify(response_data) + json_response.headers['Content-Length'] = len(json_response.get_data(as_text=True)) + + return json_response, SUCCESS, {'Content-Type': 'application/json; charset = utf-8' } + + except Exception as e: + response_data = {'status': 'error', 'message': str(e)} + return jsonify(response_data), UNDEFERR, {'Content-Type': 'application/json; charset = utf-8' } + +@caculate_dementia_avarage_walking_speed_routes.route('/caculate-dementia-avarage-walking-speed', methods=['POST']) +def caculate_dementia_average_walking_speed(): + try: + data = request.json + _dementia_key = data.get('dementiaKey') + + if _dementia_key is None: + return jsonify({'status': 'error', 'message': 'Dementia key is missing'}), DUPERR + + # dementia_key에 해당하는 환자의 최근 10개의 위치 정보를 가져옴 + location_info_list = location_info.query.filter(and_(location_info.dementia_key == _dementia_key, location_info.user_status == 2)).order_by(location_info.date.desc()).limit(10).all() + if location_info_list: + # 최근 10개의 위치 정보를 이용하여 평균 속도 계산 + total_speed = 0 + for loc_info in location_info_list: # 루프 변수의 이름을 loc_info로 변경 + total_speed += loc_info.current_speed + average_speed = round(total_speed / len(location_info_list),2) + result = { + 'averageSpeed' : average_speed, + 'lastLatitude' : location_info_list[-1].latitude, + 'lastLongitude' : location_info_list[-1].longitude + } + print('[system] {} dementia average walking speed : {}'.format(_dementia_key, average_speed)) + response_data = {'status': 'success', 'message': 'Average walking speed calculated successfully', 'result': result} + + return jsonify(response_data), SUCCESS, {'Content-Type': 'application/json; charset = utf-8' } + else: + print('[system] {} dementia info not found'.format(_dementia_key)) + response_data = {'status': 'error', 'message': 'Location data not found'} + + return jsonify(response_data) + + except Exception as e: + response_data = {'status': 'error', 'message': str(e)} + return jsonify(response_data), UNDEFERR + +@get_user_info_routes.route('/get-user-info', methods=['GET']) +def get_user_info(): + try: + dementia_key = request.args.get('dementiaKey') + + dementia_info_record = dementia_info.query.filter_by(dementia_key=dementia_key).first() + nok_info_record = nok_info.query.filter_by(dementia_info_key=dementia_key).order_by(nok_info.num.desc()).first() + + if dementia_info_record is None or nok_info_record is None: + response_data = {'status': 'error', 'message': 'User info not found'} + return jsonify(response_data), KEYNOTFOUND, {'Content-Type': 'application/json; charset = utf-8' } + else: + + result = { + 'dementiaInfoRecord': { + 'dementiaKey': dementia_info_record.dementia_key, + 'dementiaName': dementia_info_record.dementia_name, + 'dementiaPhoneNumber': dementia_info_record.dementia_phonenumber, + 'updateRate' : dementia_info_record.update_rate + }, + 'nokInfoRecord': { + 'nokKey': nok_info_record.nok_key, + 'nokName': nok_info_record.nok_name, + 'nokPhoneNumber': nok_info_record.nok_phonenumber, + 'updateRate' : nok_info_record.update_rate + } + } + + response_data = {'status': 'success', 'message': 'User info sent successfully', 'result': result} + json_response = jsonify(response_data) + json_response.headers['Content-Length'] = len(json_response.get_data(as_text=True)) + + return json_response, SUCCESS, {'Content-Type': 'application/json; charset = utf-8' } + + + except Exception as e: + response_data = {'status': 'error', 'message': str(e)} + return jsonify(response_data), UNDEFERR, {'Content-Type': 'application/json; charset = utf-8' } + +@send_meaningful_location_info_routes.route('/send-meaningful-location-info', methods=['GET']) +def send_meaningful_location_info(): + try: + + + _key = request.args.get('dementiaKey') + + meaningful_location_list = meaningful_location_info.query.filter_by(dementia_key=_key).all() + + if meaningful_location_list: + result = [] + for location in meaningful_location_list: + result.append({ + 'latitude': location.latitude, + 'longitude': location.longitude, + 'date' : location.day_of_the_week, + "time" : location.time + }) + response_data = {'status': 'success', 'message': 'Meaningful location data sent successfully', 'result': result} + + json_response = jsonify(response_data) + json_response.headers['Content-Length'] = len(json_response.get_data(as_text=True)) + + return json_response, SUCCESS, {'Content-Type': 'application/json; charset = utf-8' } + else: + response_data = {'status': 'error', 'message': 'Meaningful location data not found'} + + json_response = jsonify(response_data) + json_response.headers['Content-Length'] = len(json_response.get_data(as_text=True)) + + return json_response, LOCDATANOTFOUND, {'Content-Type': 'application/json; charset = utf-8' } + + except Exception as e: + response_data = {'status': 'error', 'message': str(e)} + return jsonify(response_data), UNDEFERR, {'Content-Type': 'application/json; charset = utf-8' } + +@send_location_history_rotues.route('/send-location-history', methods=['GET']) +def send_location_history(): + try: + dementia_key = request.args.get('dementiaKey') + date = request.args.get('date') + + location_list = location_info.query.filter(and_(location_info.dementia_key == dementia_key, location_info.date == date)).all() + + if location_list: + result = [] + for location in location_list: + result.append({ + 'latitude': location.latitude, + 'longitude': location.longitude, + 'time': location.time + }) + response_data = {'status': 'success', 'message': 'Location history data sent successfully', 'result': result} + + json_response = jsonify(response_data) + json_response.headers['Content-Length'] = len(json_response.get_data(as_text=True)) + + return json_response, SUCCESS, {'Content-Type': 'application/json; charset = utf-8' } + # 해당 날짜에 데이터가 없는경우 + elif not location_list: + response_data = {'status': 'error', 'message': 'Location data not found'} + + json_response = jsonify(response_data) + json_response.headers['Content-Length'] = len(json_response.get_data(as_text=True)) + + return json_response, LOCDATANOTFOUND, {'Content-Type': 'application/json; charset = utf-8' } + + + except Exception as e: + response_data = {'status': 'error', 'message': str(e)} + return jsonify(response_data), UNDEFERR, {'Content-Type': 'application/json; charset = utf-8' } + + +# 스케줄러 비활성화 +''' +@scheduler.task('cron', id='analyze_meaningful_location', hour=17, minute=14, second=0, timezone='Asia/Seoul', misfire_grace_time=120) +def analyze_meaningful_location(): + try: + with scheduler.app.app_context(): + today = datetime.datetime.now() + today = today - datetime.timedelta(days = 9) + #print(today) + today = today.strftime('%Y-%m-%d') + + print('[system] {} dementia meaningful location data analysis started'.format(today)) + + location_list = location_info.query.filter(location_info.date == today).all() + + print('[system] {} dementia location data loaded successfully'.format(today)) + errfile = f'error_{today}.txt' + if location_list: + dementia_keys = set([location.dementia_key for location in location_list]) + for key in dementia_keys: + key_location_list = [location for location in location_list if location.dementia_key == key] + + if len(key_location_list) <= 100: + with open(errfile, 'a') as file: + file.write(f'{key} dementia location data not enough\n') + continue + + filename = f'location_data_for_dementia_key_{key}_{today}.txt' + with open(filename, 'w') as file: + for location in key_location_list: + file.write(f'{location.latitude},{location.longitude},{location.date},{location.time}\n') + + LA = LocationAnalyzer(filename) + predict_meaningful_location_data = LA.gmeansFunc() + + meaningful_location_record = [] + for i in range(len(predict_meaningful_location_data)-1): + new_meaningful_location = meaningful_location_info( + dementia_key=key, + latitude=predict_meaningful_location_data[i][0][0], + longitude=predict_meaningful_location_data[i][0][1], + time = predict_meaningful_location_data[i][2], + day_of_the_week = predict_meaningful_location_data[i][3] + ) + meaningful_location_record.append(new_meaningful_location) + + #print(meaningful_location_record) + + db.session.bulk_save_objects(meaningful_location_record) + + print(f'[system] {key} dementia meaningful location data saved successfully') + + else: + print("location_list가 비어 있습니다.") + pass + + db.session.commit() + print('[system] {} dementia meaningful location data analysis finished'.format(today)) + + except Exception as e: + print(e) + return str(e) +''' \ No newline at end of file diff --git a/backend/flask/app/update_user_status.py b/backend/flask/app/update_user_status.py new file mode 100644 index 00000000..7d97d972 --- /dev/null +++ b/backend/flask/app/update_user_status.py @@ -0,0 +1,44 @@ +from sklearn.tree import DecisionTreeClassifier +import json +import pandas as pd +from io import StringIO +import pickle + +class UpdateUserStatus: + def __init__(self): + + model_filename = 'app/random_forest_model.pkl' + with open(model_filename, 'rb') as model_file: + self.model = pickle.load(model_file) + + def predict(self, data): + # 전처리 함수 호출 + preprocessed_data = self.preprocessing(data) + + # 모델 예측 + prediction = self.model.predict(preprocessed_data) + return prediction + + def preprocessing(self, data): + + json_data = json.loads(data) + + accel = json_data.get('accelerationsensor') + gyro = json_data.get('gyrosensor') + direction = json_data.get('directionsensor') + + processed_data = [{ + 'x1': accel[0], + 'y1': accel[1], + 'z1': accel[2], + 'x2': gyro[0], + 'y2': gyro[1], + 'z2': gyro[2], + 'x3': direction[0], + 'y3': direction[1], + 'z3': direction[2], + }] + + df = pd.DataFrame(processed_data) + + return df diff --git a/backend/flask/requirements.txt b/backend/flask/requirements.txt new file mode 100644 index 00000000..8a452ae9 --- /dev/null +++ b/backend/flask/requirements.txt @@ -0,0 +1,16 @@ +Flask==3.0.0 +Flask-Cors==4.0.0 +Flask-SQLAlchemy==3.1.1 +GeoAlchemy2==0.14.3 +SQLAlchemy==2.0.25 +DateTime==5.2 +numpy==1.25.2 +pandas==2.1.1 +pyclustering==0.10.1.2 +SQLAlchemy==2.0.25 +Werkzeug==3.0.1 +gunicorn==21.2.0 +PyMySQL==1.1.0 +scikit-learn==1.3.2 +schedule==1.2.1 +Flask-APScheduler==1.13.1 \ No newline at end of file diff --git a/backend/flask/run.py b/backend/flask/run.py new file mode 100644 index 00000000..ff2c5289 --- /dev/null +++ b/backend/flask/run.py @@ -0,0 +1,8 @@ +from app import create_app +from werkzeug.serving import run_simple + +app = create_app() + +if __name__ == '__main__': + run_simple('127.0.0.1', 5000, app, threaded = True) + #app.run(debug=True) \ No newline at end of file diff --git a/frontend/app/.gitignore b/frontend/app/.gitignore deleted file mode 100644 index 42afabfd..00000000 --- a/frontend/app/.gitignore +++ /dev/null @@ -1 +0,0 @@ -/build \ No newline at end of file diff --git a/frontend/app/build.gradle.kts b/frontend/app/build.gradle.kts index f73739ff..733443ac 100644 --- a/frontend/app/build.gradle.kts +++ b/frontend/app/build.gradle.kts @@ -1,130 +1,134 @@ -import com.android.build.gradle.internal.cxx.configure.gradleLocalProperties -import org.bouncycastle.util.Properties -import java.io.FileInputStream -import java.util.* - -plugins { - id("com.android.application") - id("org.jetbrains.kotlin.android") - id("kotlin-kapt") - id("dagger.hilt.android.plugin") - id("com.google.dagger.hilt.android") - id("androidx.navigation.safeargs.kotlin") -} - -val properties = Properties().apply{ - load(FileInputStream(rootProject.file("local.properties"))) -} - -android { - namespace = "kr.ac.tukorea.whereareu" - compileSdk = 34 - - defaultConfig { - applicationId = "kr.ac.tukorea.whereareu" - minSdk = 24 - targetSdk = 34 - versionCode = 1 - versionName = "1.0" - testInstrumentationRunner = "androidx.test.runner.AndroidJUnitRunner" - buildConfigField("String", "NAVER_CLIENT_ID", "\""+properties["NAVER_CLIENT_ID"]+"\"") - buildConfigField("String", "NAVER_CLIENT_SECRET", "\""+properties["NAVER_CLIENT_SECRET"]+"\"") - } - - buildTypes { - debug { - isMinifyEnabled = false - manifestPlaceholders["NAVER_CLIENT_ID"] = properties["NAVER_CLIENT_ID"] as String - } - release { - isMinifyEnabled = false - manifestPlaceholders["NAVER_CLIENT_ID"] = properties["NAVER_CLIENT_ID"] as String - proguardFiles( - getDefaultProguardFile("proguard-android-optimize.txt"), - "proguard-rules.pro" - ) - } - } - compileOptions { - sourceCompatibility = JavaVersion.VERSION_17 - targetCompatibility = JavaVersion.VERSION_17 - } - kotlinOptions { - jvmTarget = "17" - } - buildFeatures{ - viewBinding = true - dataBinding = true - buildConfig = true - } -} - -dependencies { - - implementation("androidx.core:core-ktx:1.8.0") - implementation("androidx.appcompat:appcompat:1.6.1") - implementation("com.google.android.material:material:1.7.0") - implementation("androidx.constraintlayout:constraintlayout:2.1.4") - implementation("androidx.work:work-runtime-ktx:2.9.0") - testImplementation("junit:junit:4.13.2") - androidTestImplementation("androidx.test.ext:junit:1.1.5") - androidTestImplementation("androidx.test.espresso:espresso-core:3.5.1") - - //gson - implementation("org.jetbrains.kotlinx:kotlinx-coroutines-android:1.7.1") - implementation ("com.google.code.gson:gson:2.10.1") - - - //coroutines - implementation ("org.jetbrains.kotlinx:kotlinx-coroutines-core:1.7.1") - implementation ("org.jetbrains.kotlinx:kotlinx-coroutines-android:1.7.1") - - // ViewModel - implementation ("androidx.lifecycle:lifecycle-viewmodel-ktx:2.6.2") - implementation ("androidx.lifecycle:lifecycle-runtime:2.6.2") - implementation ("androidx.activity:activity-ktx:1.9.0") - implementation ("androidx.fragment:fragment-ktx:1.6.2") - - - //lifecycle - implementation ("androidx.lifecycle:lifecycle-extensions:2.2.0") - - //Retrofit - implementation ("com.squareup.retrofit2:retrofit:2.9.0") - implementation ("com.squareup.retrofit2:converter-gson:2.9.0") - implementation ("com.squareup.retrofit2:converter-scalars:2.9.0") - - // https://github.com/square/okhttp - implementation ("com.squareup.okhttp3:okhttp:5.0.0-alpha.2") - - // https://github.com/square/okhttp/tree/master/okhttp-logging-interceptor - implementation ("com.squareup.okhttp3:logging-interceptor:5.0.0-alpha.2") - - //CardView - implementation ("androidx.cardview:cardview:1.0.0") - - implementation ("androidx.navigation:navigation-fragment-ktx:2.7.7") - implementation ("androidx.navigation:navigation-ui-ktx:2.7.7") - - implementation ("com.google.dagger:hilt-android:2.47") - kapt ("com.google.dagger:hilt-compiler:2.47") - - //naver map - implementation("com.naver.maps:map-sdk:3.17.0") - - //위치 추적 - implementation("com.google.android.gms:play-services-location:21.2.0") - - //로딩화면 - implementation ("com.airbnb.android:lottie:5.0.2") - - //Glide - implementation ("com.github.bumptech.glide:glide:4.14.2") - annotationProcessor ("com.github.bumptech.glide:compiler:4.14.2") - - implementation ("com.github.prolificinteractive:material-calendarview:2.0.1") - implementation ("com.jakewharton.threetenabp:threetenabp:1.2.1") -} -kapt { - correctErrorTypes = true -} +import com.android.build.gradle.internal.cxx.configure.gradleLocalProperties +import org.bouncycastle.util.Properties +import java.io.FileInputStream +import java.util.* + +plugins { + id("com.android.application") + id("org.jetbrains.kotlin.android") + id("kotlin-kapt") + id("dagger.hilt.android.plugin") + id("com.google.dagger.hilt.android") + id("androidx.navigation.safeargs.kotlin") +} + +val properties = Properties().apply{ + load(FileInputStream(rootProject.file("local.properties"))) +} + +android { + namespace = "kr.ac.tukorea.whereareu" + compileSdk = 34 + + defaultConfig { + applicationId = "kr.ac.tukorea.whereareu" + minSdk = 24 + targetSdk = 34 + versionCode = 1 + versionName = "1.0" + testInstrumentationRunner = "androidx.test.runner.AndroidJUnitRunner" + buildConfigField("String", "NAVER_CLIENT_ID", "\""+properties["NAVER_CLIENT_ID"]+"\"") + buildConfigField("String", "NAVER_CLIENT_SECRET", "\""+properties["NAVER_CLIENT_SECRET"]+"\"") + } + + buildTypes { + debug { + isMinifyEnabled = false + manifestPlaceholders["NAVER_CLIENT_ID"] = properties["NAVER_CLIENT_ID"] as String + } + release { + isMinifyEnabled = false + manifestPlaceholders["NAVER_CLIENT_ID"] = properties["NAVER_CLIENT_ID"] as String + proguardFiles( + getDefaultProguardFile("proguard-android-optimize.txt"), + "proguard-rules.pro" + ) + } + } + compileOptions { + sourceCompatibility = JavaVersion.VERSION_17 + targetCompatibility = JavaVersion.VERSION_17 + } + kotlinOptions { + jvmTarget = "17" + } + buildFeatures{ + viewBinding = true + dataBinding = true + buildConfig = true + } +} + +dependencies { + + implementation("androidx.core:core-ktx:1.8.0") + implementation("androidx.appcompat:appcompat:1.6.1") + implementation("com.google.android.material:material:1.7.0") + implementation("androidx.constraintlayout:constraintlayout:2.1.4") + implementation("androidx.work:work-runtime-ktx:2.9.0") + testImplementation("junit:junit:4.13.2") + androidTestImplementation("androidx.test.ext:junit:1.1.5") + androidTestImplementation("androidx.test.espresso:espresso-core:3.5.1") + + //gson + implementation("org.jetbrains.kotlinx:kotlinx-coroutines-android:1.7.1") + implementation ("com.google.code.gson:gson:2.10.1") + + + //coroutines + implementation ("org.jetbrains.kotlinx:kotlinx-coroutines-core:1.7.1") + implementation ("org.jetbrains.kotlinx:kotlinx-coroutines-android:1.7.1") + + // ViewModel + implementation ("androidx.lifecycle:lifecycle-viewmodel-ktx:2.6.2") + implementation ("androidx.lifecycle:lifecycle-runtime:2.6.2") + implementation ("androidx.activity:activity-ktx:1.9.0") + implementation ("androidx.fragment:fragment-ktx:1.6.2") + + + //lifecycle + implementation ("androidx.lifecycle:lifecycle-extensions:2.2.0") + + //Retrofit + implementation ("com.squareup.retrofit2:retrofit:2.9.0") + implementation ("com.squareup.retrofit2:converter-gson:2.9.0") + implementation ("com.squareup.retrofit2:converter-scalars:2.9.0") + + // https://github.com/square/okhttp + implementation ("com.squareup.okhttp3:okhttp:5.0.0-alpha.2") + + // https://github.com/square/okhttp/tree/master/okhttp-logging-interceptor + implementation ("com.squareup.okhttp3:logging-interceptor:5.0.0-alpha.2") + + //CardView + implementation ("androidx.cardview:cardview:1.0.0") + + implementation ("androidx.navigation:navigation-fragment-ktx:2.7.7") + implementation ("androidx.navigation:navigation-ui-ktx:2.7.7") + + implementation ("com.google.dagger:hilt-android:2.47") + kapt ("com.google.dagger:hilt-compiler:2.47") + + //naver map + implementation("com.naver.maps:map-sdk:3.17.0") + + //위치 추적 + implementation("com.google.android.gms:play-services-location:21.2.0") + + //로딩화면 + implementation ("com.airbnb.android:lottie:5.0.2") + + //Glide + implementation ("com.github.bumptech.glide:glide:4.14.2") + annotationProcessor ("com.github.bumptech.glide:compiler:4.14.2") + + implementation ("com.github.prolificinteractive:material-calendarview:2.0.1") + implementation ("com.jakewharton.threetenabp:threetenabp:1.2.1") + + + implementation ("com.github.hongbeomi:DividerSeekBar:v1.0.3") + +} +kapt { + correctErrorTypes = true +} diff --git a/frontend/app/proguard-rules.pro b/frontend/app/proguard-rules.pro deleted file mode 100644 index 481bb434..00000000 --- a/frontend/app/proguard-rules.pro +++ /dev/null @@ -1,21 +0,0 @@ -# Add project specific ProGuard rules here. -# You can control the set of applied configuration files using the -# proguardFiles setting in build.gradle. -# -# For more details, see -# http://developer.android.com/guide/developing/tools/proguard.html - -# If your project uses WebView with JS, uncomment the following -# and specify the fully qualified class name to the JavaScript interface -# class: -#-keepclassmembers class fqcn.of.javascript.interface.for.webview { -# public *; -#} - -# Uncomment this to preserve the line number information for -# debugging stack traces. -#-keepattributes SourceFile,LineNumberTable - -# If you keep the line number information, uncomment this to -# hide the original source file name. -#-renamesourcefileattribute SourceFile \ No newline at end of file diff --git a/frontend/app/src/androidTest/java/kr/ac/tukorea/whereareu/ExampleInstrumentedTest.kt b/frontend/app/src/androidTest/java/kr/ac/tukorea/whereareu/ExampleInstrumentedTest.kt deleted file mode 100644 index 773edf3f..00000000 --- a/frontend/app/src/androidTest/java/kr/ac/tukorea/whereareu/ExampleInstrumentedTest.kt +++ /dev/null @@ -1,24 +0,0 @@ -package kr.ac.tukorea.whereareu - -import androidx.test.platform.app.InstrumentationRegistry -import androidx.test.ext.junit.runners.AndroidJUnit4 - -import org.junit.Test -import org.junit.runner.RunWith - -import org.junit.Assert.* - -/** - * Instrumented test, which will execute on an Android device. - * - * See [testing documentation](http://d.android.com/tools/testing). - */ -@RunWith(AndroidJUnit4::class) -class ExampleInstrumentedTest { - @Test - fun useAppContext() { - // Context of the app under test. - val appContext = InstrumentationRegistry.getInstrumentation().targetContext - assertEquals("kr.ac.tukorea.whereareu", appContext.packageName) - } -} \ No newline at end of file diff --git a/frontend/app/src/main/AndroidManifest.xml b/frontend/app/src/main/AndroidManifest.xml index b52c0f99..3198e87d 100644 --- a/frontend/app/src/main/AndroidManifest.xml +++ b/frontend/app/src/main/AndroidManifest.xml @@ -1,55 +1,55 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/ic_launcher-playstore.png b/frontend/app/src/main/ic_launcher-playstore.png deleted file mode 100644 index fe6ce258..00000000 Binary files a/frontend/app/src/main/ic_launcher-playstore.png and /dev/null differ diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/WhereAreUApplication.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/WhereAreUApplication.kt index 68d4e6d9..926d6315 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/WhereAreUApplication.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/WhereAreUApplication.kt @@ -1,59 +1,59 @@ -package kr.ac.tukorea.whereareu - -import android.annotation.SuppressLint -import android.app.Application -import android.app.NotificationChannel -import android.app.NotificationManager -import android.content.Context -import android.os.Build -import androidx.annotation.StringRes -import androidx.lifecycle.DefaultLifecycleObserver -import androidx.lifecycle.LifecycleOwner -import kr.ac.tukorea.whereareu.util.network.NetworkConnectionChecker -import dagger.hilt.android.HiltAndroidApp - -@HiltAndroidApp -class WhereAreUApplication: Application(), DefaultLifecycleObserver { - override fun onCreate() { - super.onCreate() - context = applicationContext - networkConnectionChecker = NetworkConnectionChecker(context) - - if(Build.VERSION.SDK_INT >= Build.VERSION_CODES.O){ - val channel = NotificationChannel( - "location", - "Location", - NotificationManager.IMPORTANCE_LOW - ) - val notificationManager = getSystemService(Context.NOTIFICATION_SERVICE) as NotificationManager - notificationManager.createNotificationChannel(channel) - } - } - - override fun onStop(owner: LifecycleOwner) { - networkConnectionChecker.unregister() - super.onStop(owner) - } - - override fun onStart(owner: LifecycleOwner) { - networkConnectionChecker.register() - super.onStart(owner) - } - - companion object { - @SuppressLint("StaticFieldLeak") - private lateinit var context: Context - - fun getString(@StringRes stringResId: Int): String { - return context.getString(stringResId) - } - - private lateinit var networkConnectionChecker: NetworkConnectionChecker - fun isOnline() = networkConnectionChecker.isOnline() - - private lateinit var instance: WhereAreUApplication - fun applicationContext() : Context { - return instance.applicationContext - } - } +package kr.ac.tukorea.whereareu + +import android.annotation.SuppressLint +import android.app.Application +import android.app.NotificationChannel +import android.app.NotificationManager +import android.content.Context +import android.os.Build +import androidx.annotation.StringRes +import androidx.lifecycle.DefaultLifecycleObserver +import androidx.lifecycle.LifecycleOwner +import kr.ac.tukorea.whereareu.util.network.NetworkConnectionChecker +import dagger.hilt.android.HiltAndroidApp + +@HiltAndroidApp +class WhereAreUApplication: Application(), DefaultLifecycleObserver { + override fun onCreate() { + super.onCreate() + context = applicationContext + networkConnectionChecker = NetworkConnectionChecker(context) + + if(Build.VERSION.SDK_INT >= Build.VERSION_CODES.O){ + val channel = NotificationChannel( + "location", + "Location", + NotificationManager.IMPORTANCE_LOW + ) + val notificationManager = getSystemService(Context.NOTIFICATION_SERVICE) as NotificationManager + notificationManager.createNotificationChannel(channel) + } + } + + override fun onStop(owner: LifecycleOwner) { + networkConnectionChecker.unregister() + super.onStop(owner) + } + + override fun onStart(owner: LifecycleOwner) { + networkConnectionChecker.register() + super.onStart(owner) + } + + companion object { + @SuppressLint("StaticFieldLeak") + private lateinit var context: Context + + fun getString(@StringRes stringResId: Int): String { + return context.getString(stringResId) + } + + private lateinit var networkConnectionChecker: NetworkConnectionChecker + fun isOnline() = networkConnectionChecker.isOnline() + + private lateinit var instance: WhereAreUApplication + fun applicationContext() : Context { + return instance.applicationContext + } + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/api/KakaoService.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/api/KakaoService.kt index 0b4b4385..f5c26a08 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/api/KakaoService.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/api/KakaoService.kt @@ -12,11 +12,11 @@ interface KakaoService { @GET("search/keyword.json") suspend fun searchPoliceStationNearby( - @Query("x") x: String, - @Query("y") y: String, + //@Query("x") x: String, + //@Query("y") y: String, //@Query("radius") radius: Int, @Query("query") query: String = "경찰서", - @Query("sort") sort: String = "distance", + //@Query("sort") sort: String = "distance", @Query("size") size: Int = 5 ): Response } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/api/LoginService.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/api/LoginService.kt index 1a58da24..6fcb28d9 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/api/LoginService.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/api/LoginService.kt @@ -1,28 +1,28 @@ -package kr.ac.tukorea.whereareu.data.api - -import kr.ac.tukorea.whereareu.data.model.DementiaKeyRequest -import kr.ac.tukorea.whereareu.data.model.login.response.CheckInterConnectResponse -import kr.ac.tukorea.whereareu.data.model.login.request.DementiaIdentityRequest -import kr.ac.tukorea.whereareu.data.model.login.response.DementiaIdentityResponse -import kr.ac.tukorea.whereareu.data.model.login.request.NokIdentityRequest -import kr.ac.tukorea.whereareu.data.model.login.response.NokIdentityResponse -import kr.ac.tukorea.whereareu.data.model.ResponseBody -import kr.ac.tukorea.whereareu.data.model.login.request.UserLoginRequest -import kr.ac.tukorea.whereareu.data.model.setting.StateResponse -import retrofit2.Response -import retrofit2.http.Body -import retrofit2.http.POST - -interface LoginService { - @POST("noks") - suspend fun postNokIdentity(@Body request: NokIdentityRequest): Response> - - @POST("dementias") - suspend fun postDementiaIdentity(@Body request: DementiaIdentityRequest): Response> - - @POST("login") - suspend fun postUserLogin(@Body request: UserLoginRequest): Response> - - @POST("connection") - suspend fun postIsConnected(@Body request: DementiaKeyRequest): Response> +package kr.ac.tukorea.whereareu.data.api + +import kr.ac.tukorea.whereareu.data.model.DementiaKeyRequest +import kr.ac.tukorea.whereareu.data.model.login.response.CheckInterConnectResponse +import kr.ac.tukorea.whereareu.data.model.login.request.DementiaIdentityRequest +import kr.ac.tukorea.whereareu.data.model.login.response.DementiaIdentityResponse +import kr.ac.tukorea.whereareu.data.model.login.request.NokIdentityRequest +import kr.ac.tukorea.whereareu.data.model.login.response.NokIdentityResponse +import kr.ac.tukorea.whereareu.data.model.ResponseBody +import kr.ac.tukorea.whereareu.data.model.login.request.UserLoginRequest +import kr.ac.tukorea.whereareu.data.model.setting.StateResponse +import retrofit2.Response +import retrofit2.http.Body +import retrofit2.http.POST + +interface LoginService { + @POST("noks") + suspend fun postNokIdentity(@Body request: NokIdentityRequest): Response> + + @POST("dementias") + suspend fun postDementiaIdentity(@Body request: DementiaIdentityRequest): Response> + + @POST("login") + suspend fun postUserLogin(@Body request: UserLoginRequest): Response> + + @POST("connection") + suspend fun postIsConnected(@Body request: DementiaKeyRequest): Response> } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/api/nok/SafeAreaService.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/api/nok/SafeAreaService.kt new file mode 100644 index 00000000..89bd60e4 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/api/nok/SafeAreaService.kt @@ -0,0 +1,33 @@ +package kr.ac.tukorea.whereareu.data.api.nok + +import kr.ac.tukorea.whereareu.data.model.ResponseBody +import kr.ac.tukorea.whereareu.data.model.nok.safearea.GetCoordRequest +import kr.ac.tukorea.whereareu.data.model.nok.safearea.response.GetSafeAreaGroupResponse +import kr.ac.tukorea.whereareu.data.model.nok.safearea.response.GetSafeAreaResponse +import kr.ac.tukorea.whereareu.data.model.nok.safearea.RegisterSafeAreaGroupRequest +import kr.ac.tukorea.whereareu.data.model.nok.safearea.response.RegisterSafeAreaGroupResponse +import kr.ac.tukorea.whereareu.data.model.nok.safearea.RegisterSafeAreaRequest +import kr.ac.tukorea.whereareu.data.model.nok.safearea.response.GetCoordResponse +import kr.ac.tukorea.whereareu.data.model.nok.safearea.response.RegisterSafeAreaResponse +import retrofit2.Response +import retrofit2.http.Body +import retrofit2.http.GET +import retrofit2.http.POST +import retrofit2.http.Query + +interface SafeAreaService { + @POST("safeArea/register") + suspend fun registerSafeArea(@Body request: RegisterSafeAreaRequest): Response + + @POST("safeArea/register/group") + suspend fun registerSafeAreaGroup(@Body request: RegisterSafeAreaGroupRequest): Response> + + @GET("safeArea/info") + suspend fun getSafeAreaAll(@Query("dementiaKey") dementiaKey: String): Response> + + @GET("safeArea/info/group") + suspend fun getSafeAreaGroup(@Query("dementiaKey") dementiaKey: String, @Query("groupKey") groupKey: String): Response> + + @POST("address/conversion") + suspend fun getCoord(@Body request: GetCoordRequest): Response> +} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/CommonResponse.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/CommonResponse.kt new file mode 100644 index 00000000..7fb8f547 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/CommonResponse.kt @@ -0,0 +1,6 @@ +package kr.ac.tukorea.whereareu.data.model + +data class CommonResponse( + val status: String, + val message: String +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/ResponseBody.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/ResponseBody.kt index 0787925e..eaf492c3 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/ResponseBody.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/ResponseBody.kt @@ -1,7 +1,7 @@ -package kr.ac.tukorea.whereareu.data.model - -data class ResponseBody( - val message: String, - val status: String, - val result: T -) +package kr.ac.tukorea.whereareu.data.model + +data class ResponseBody( + val message: String, + val status: String, + val result: T +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/request/DementiaIdentityRequest.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/request/DementiaIdentityRequest.kt index ba58a442..f282b1e4 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/request/DementiaIdentityRequest.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/request/DementiaIdentityRequest.kt @@ -1,8 +1,8 @@ -package kr.ac.tukorea.whereareu.data.model.login.request - -data class DementiaIdentityRequest( - val name: String, - val phoneNumber: String -){ - constructor(): this("사용자", "010-0000-0000") -} +package kr.ac.tukorea.whereareu.data.model.login.request + +data class DementiaIdentityRequest( + val name: String, + val phoneNumber: String +){ + constructor(): this("사용자", "010-0000-0000") +} diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/request/NokIdentityRequest.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/request/NokIdentityRequest.kt index d5533d1c..1bc7451e 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/request/NokIdentityRequest.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/request/NokIdentityRequest.kt @@ -1,9 +1,9 @@ -package kr.ac.tukorea.whereareu.data.model.login.request - -data class NokIdentityRequest( - val keyFromDementia: String, - val nokName: String, - val nokPhoneNumber: String -) { - constructor(): this("000000", "사용자", "010-9999-9999") -} +package kr.ac.tukorea.whereareu.data.model.login.request + +data class NokIdentityRequest( + val keyFromDementia: String, + val nokName: String, + val nokPhoneNumber: String +) { + constructor(): this("000000", "사용자", "010-9999-9999") +} diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/response/CheckInterConnectResponse.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/response/CheckInterConnectResponse.kt index d838da07..36151364 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/response/CheckInterConnectResponse.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/response/CheckInterConnectResponse.kt @@ -1,7 +1,7 @@ -package kr.ac.tukorea.whereareu.data.model.login.response - -import kr.ac.tukorea.whereareu.domain.login.NokInfo - -data class CheckInterConnectResponse( - val nokInfoRecord: NokInfo, -) +package kr.ac.tukorea.whereareu.data.model.login.response + +import kr.ac.tukorea.whereareu.domain.login.NokInfo + +data class CheckInterConnectResponse( + val nokInfoRecord: NokInfo, +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/response/DementiaIdentityResponse.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/response/DementiaIdentityResponse.kt index 8d1e35d0..253a4b9f 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/response/DementiaIdentityResponse.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/response/DementiaIdentityResponse.kt @@ -1,6 +1,6 @@ -package kr.ac.tukorea.whereareu.data.model.login.response -import com.google.gson.annotations.SerializedName - -data class DementiaIdentityResponse( - val dementiaKey: String, -) +package kr.ac.tukorea.whereareu.data.model.login.response +import com.google.gson.annotations.SerializedName + +data class DementiaIdentityResponse( + val dementiaKey: String, +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/response/NokIdentityResponse.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/response/NokIdentityResponse.kt index 2f3b6dc6..34786924 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/response/NokIdentityResponse.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/login/response/NokIdentityResponse.kt @@ -1,8 +1,8 @@ -package kr.ac.tukorea.whereareu.data.model.login.response - -import kr.ac.tukorea.whereareu.domain.login.DementiaInfo - -data class NokIdentityResponse( - val dementiaInfoRecord: DementiaInfo, - val nokKey: String, -) +package kr.ac.tukorea.whereareu.data.model.login.response + +import kr.ac.tukorea.whereareu.domain.login.DementiaInfo + +data class NokIdentityResponse( + val dementiaInfoRecord: DementiaInfo, + val nokKey: String, +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/home/LocationInfoResponse.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/home/LocationInfoResponse.kt index 48654512..17e78169 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/home/LocationInfoResponse.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/home/LocationInfoResponse.kt @@ -1,5 +1,7 @@ package kr.ac.tukorea.whereareu.data.model.nok.home +import kr.ac.tukorea.whereareu.domain.home.LocationInfo + data class LocationInfoResponse( val battery: Int, val isGpsOn: Boolean, @@ -12,4 +14,7 @@ data class LocationInfoResponse( val currentSpeed: Float ){ constructor(): this(100, true, true, 0, 37.5666103, 126.9783882, "", 0f, 0f) + fun toModel(isPredicted: Boolean): LocationInfo { + return LocationInfo(battery, isGpsOn, isInternetOn, isRingstoneOn, latitude, longitude, userStatus, bearing, currentSpeed, isPredicted) + } } diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/home/MeaningfulPlace.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/home/MeaningfulPlace.kt index 80b58d47..a1dea1cb 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/home/MeaningfulPlace.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/home/MeaningfulPlace.kt @@ -3,6 +3,7 @@ package kr.ac.tukorea.whereareu.data.model.nok.home import com.naver.maps.geometry.LatLng import kr.ac.tukorea.whereareu.domain.home.MeaningfulPlaceInfo import kr.ac.tukorea.whereareu.domain.home.PoliceStationInfo +import java.io.Serializable data class MeaningfulPlace( val address: String, diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/GetCoordRequest.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/GetCoordRequest.kt new file mode 100644 index 00000000..663c20cc --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/GetCoordRequest.kt @@ -0,0 +1,5 @@ +package kr.ac.tukorea.whereareu.data.model.nok.safearea + +data class GetCoordRequest( + val address: String +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/RegisterSafeAreaGroupRequest.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/RegisterSafeAreaGroupRequest.kt new file mode 100644 index 00000000..c5ac67cd --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/RegisterSafeAreaGroupRequest.kt @@ -0,0 +1,6 @@ +package kr.ac.tukorea.whereareu.data.model.nok.safearea + +data class RegisterSafeAreaGroupRequest( + val dementiaKey: String, + val groupName: String +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/RegisterSafeAreaRequest.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/RegisterSafeAreaRequest.kt new file mode 100644 index 00000000..d6dba688 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/RegisterSafeAreaRequest.kt @@ -0,0 +1,10 @@ +package kr.ac.tukorea.whereareu.data.model.nok.safearea + +data class RegisterSafeAreaRequest( + val dementiaKey: String, + val groupKey: String, + val areaName: String, + val latitude: Double, + val longitude: Double, + val radius: Float, +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/SafeAreaDto.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/SafeAreaDto.kt new file mode 100644 index 00000000..5f87e8ad --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/SafeAreaDto.kt @@ -0,0 +1,9 @@ +package kr.ac.tukorea.whereareu.data.model.nok.safearea + +data class SafeAreaDto( + val areaName: String, + //val areaKey: String, + val latitude: Double, + val longitude: Double, + val radius: Double, +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/SafeAreaGroup.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/SafeAreaGroup.kt new file mode 100644 index 00000000..7ef68e62 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/SafeAreaGroup.kt @@ -0,0 +1,6 @@ +package kr.ac.tukorea.whereareu.data.model.nok.safearea + +data class SafeAreaGroup( + val groupName: String, + val groupKey: String +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/SafeAreaList.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/SafeAreaList.kt new file mode 100644 index 00000000..515a8b6b --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/SafeAreaList.kt @@ -0,0 +1,7 @@ +package kr.ac.tukorea.whereareu.data.model.nok.safearea + +data class SafeAreaList( + val groupName: String, + val groupKey: String, + val safeAreas: List +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/response/GetCoordResponse.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/response/GetCoordResponse.kt new file mode 100644 index 00000000..6b81f373 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/response/GetCoordResponse.kt @@ -0,0 +1,6 @@ +package kr.ac.tukorea.whereareu.data.model.nok.safearea.response + +data class GetCoordResponse( + val latitude: String, + val longitude: String +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/response/GetSafeAreaGroupResponse.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/response/GetSafeAreaGroupResponse.kt new file mode 100644 index 00000000..fe6d48ce --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/response/GetSafeAreaGroupResponse.kt @@ -0,0 +1,7 @@ +package kr.ac.tukorea.whereareu.data.model.nok.safearea.response + +import kr.ac.tukorea.whereareu.data.model.nok.safearea.SafeAreaDto + +data class GetSafeAreaGroupResponse( + val safeAreas: List +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/response/GetSafeAreaResponse.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/response/GetSafeAreaResponse.kt new file mode 100644 index 00000000..8719c79c --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/response/GetSafeAreaResponse.kt @@ -0,0 +1,7 @@ +package kr.ac.tukorea.whereareu.data.model.nok.safearea.response + +import kr.ac.tukorea.whereareu.data.model.nok.safearea.SafeAreaGroup + +data class GetSafeAreaResponse( + val groupList: List +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/response/RegisterSafeAreaGroupResponse.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/response/RegisterSafeAreaGroupResponse.kt new file mode 100644 index 00000000..04fb6f7f --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/response/RegisterSafeAreaGroupResponse.kt @@ -0,0 +1,5 @@ +package kr.ac.tukorea.whereareu.data.model.nok.safearea.response + +data class RegisterSafeAreaGroupResponse( + val groupKey: String +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/response/RegisterSafeAreaResponse.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/response/RegisterSafeAreaResponse.kt new file mode 100644 index 00000000..a1b85961 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/model/nok/safearea/response/RegisterSafeAreaResponse.kt @@ -0,0 +1,7 @@ +package kr.ac.tukorea.whereareu.data.model.nok.safearea.response + +data class RegisterSafeAreaResponse( + /*val accessToken: String,*/ + val status: String, + val message: String +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/kakao/KakaoRepository.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/kakao/KakaoRepository.kt index 7620741c..20d15543 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/kakao/KakaoRepository.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/kakao/KakaoRepository.kt @@ -7,5 +7,5 @@ import kr.ac.tukorea.whereareu.util.network.NetworkResult interface KakaoRepository { suspend fun getAddress(x: String, y: String): NetworkResult - suspend fun searchWithKeyword(x: String, y: String): NetworkResult + suspend fun searchWithKeyword(keyword: String): NetworkResult } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/kakao/KakaoRepositoryImpl.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/kakao/KakaoRepositoryImpl.kt index 20ff7bec..1b10e10a 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/kakao/KakaoRepositoryImpl.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/kakao/KakaoRepositoryImpl.kt @@ -14,10 +14,8 @@ class KakaoRepositoryImpl @Inject constructor( return handleApi({api.getAddress(x, y)}) {response: AddressResponse -> response} } - override suspend fun searchWithKeyword( - x: String, - y: String, + override suspend fun searchWithKeyword(keyword: String ): NetworkResult { - return handleApi({api.searchPoliceStationNearby(x, y)}) {response: KeywordResponse -> response} + return handleApi({api.searchPoliceStationNearby(keyword)}) {response: KeywordResponse -> response} } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/login/LoginRepository.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/login/LoginRepository.kt index f400583e..39ba699b 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/login/LoginRepository.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/login/LoginRepository.kt @@ -1,18 +1,18 @@ -package kr.ac.tukorea.whereareu.data.repository.login - -import kr.ac.tukorea.whereareu.data.model.DementiaKeyRequest -import kr.ac.tukorea.whereareu.data.model.login.response.CheckInterConnectResponse -import kr.ac.tukorea.whereareu.data.model.login.request.DementiaIdentityRequest -import kr.ac.tukorea.whereareu.data.model.login.request.NokIdentityRequest -import kr.ac.tukorea.whereareu.data.model.login.request.UserLoginRequest -import kr.ac.tukorea.whereareu.data.model.login.response.DementiaIdentityResponse -import kr.ac.tukorea.whereareu.data.model.login.response.NokIdentityResponse -import kr.ac.tukorea.whereareu.data.model.setting.StateResponse -import kr.ac.tukorea.whereareu.util.network.NetworkResult - -interface LoginRepository { - suspend fun sendNokIdentity(request: NokIdentityRequest): NetworkResult - suspend fun sendDementiaIdentity(request: DementiaIdentityRequest): NetworkResult - suspend fun checkInterConnected(request: DementiaKeyRequest): NetworkResult - suspend fun sendUserLogin(request: UserLoginRequest): NetworkResult +package kr.ac.tukorea.whereareu.data.repository.login + +import kr.ac.tukorea.whereareu.data.model.DementiaKeyRequest +import kr.ac.tukorea.whereareu.data.model.login.response.CheckInterConnectResponse +import kr.ac.tukorea.whereareu.data.model.login.request.DementiaIdentityRequest +import kr.ac.tukorea.whereareu.data.model.login.request.NokIdentityRequest +import kr.ac.tukorea.whereareu.data.model.login.request.UserLoginRequest +import kr.ac.tukorea.whereareu.data.model.login.response.DementiaIdentityResponse +import kr.ac.tukorea.whereareu.data.model.login.response.NokIdentityResponse +import kr.ac.tukorea.whereareu.data.model.setting.StateResponse +import kr.ac.tukorea.whereareu.util.network.NetworkResult + +interface LoginRepository { + suspend fun sendNokIdentity(request: NokIdentityRequest): NetworkResult + suspend fun sendDementiaIdentity(request: DementiaIdentityRequest): NetworkResult + suspend fun checkInterConnected(request: DementiaKeyRequest): NetworkResult + suspend fun sendUserLogin(request: UserLoginRequest): NetworkResult } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/login/LoginRepositoryImpl.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/login/LoginRepositoryImpl.kt index 1901a9d6..f4d3ca4a 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/login/LoginRepositoryImpl.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/login/LoginRepositoryImpl.kt @@ -1,34 +1,34 @@ -package kr.ac.tukorea.whereareu.data.repository.login - -import kr.ac.tukorea.whereareu.data.model.login.request.NokIdentityRequest -import kr.ac.tukorea.whereareu.data.model.login.response.NokIdentityResponse -import kr.ac.tukorea.whereareu.data.api.LoginService -import kr.ac.tukorea.whereareu.data.model.DementiaKeyRequest -import kr.ac.tukorea.whereareu.data.model.login.response.CheckInterConnectResponse -import kr.ac.tukorea.whereareu.data.model.login.request.DementiaIdentityRequest -import kr.ac.tukorea.whereareu.data.model.ResponseBody -import kr.ac.tukorea.whereareu.data.model.login.request.UserLoginRequest -import kr.ac.tukorea.whereareu.data.model.login.response.DementiaIdentityResponse -import kr.ac.tukorea.whereareu.data.model.setting.StateResponse -import kr.ac.tukorea.whereareu.util.network.NetworkResult -import kr.ac.tukorea.whereareu.util.network.handleApi -import javax.inject.Inject - -class LoginRepositoryImpl @Inject constructor( - private val api: LoginService -): LoginRepository { - override suspend fun sendNokIdentity(request: NokIdentityRequest): NetworkResult { - return handleApi({api.postNokIdentity(request)}) {response: ResponseBody -> response.result} - } - - override suspend fun sendDementiaIdentity(request: DementiaIdentityRequest): NetworkResult { - return handleApi({api.postDementiaIdentity(request)}) { response: ResponseBody -> response.result } - } - - override suspend fun checkInterConnected(request: DementiaKeyRequest): NetworkResult { - return handleApi({api.postIsConnected(request)}) { response: ResponseBody -> response.result} - } - override suspend fun sendUserLogin(request: UserLoginRequest) : NetworkResult{ - return handleApi({api.postUserLogin(request)}) { response : ResponseBody -> response.result} - } +package kr.ac.tukorea.whereareu.data.repository.login + +import kr.ac.tukorea.whereareu.data.model.login.request.NokIdentityRequest +import kr.ac.tukorea.whereareu.data.model.login.response.NokIdentityResponse +import kr.ac.tukorea.whereareu.data.api.LoginService +import kr.ac.tukorea.whereareu.data.model.DementiaKeyRequest +import kr.ac.tukorea.whereareu.data.model.login.response.CheckInterConnectResponse +import kr.ac.tukorea.whereareu.data.model.login.request.DementiaIdentityRequest +import kr.ac.tukorea.whereareu.data.model.ResponseBody +import kr.ac.tukorea.whereareu.data.model.login.request.UserLoginRequest +import kr.ac.tukorea.whereareu.data.model.login.response.DementiaIdentityResponse +import kr.ac.tukorea.whereareu.data.model.setting.StateResponse +import kr.ac.tukorea.whereareu.util.network.NetworkResult +import kr.ac.tukorea.whereareu.util.network.handleApi +import javax.inject.Inject + +class LoginRepositoryImpl @Inject constructor( + private val api: LoginService +): LoginRepository { + override suspend fun sendNokIdentity(request: NokIdentityRequest): NetworkResult { + return handleApi({api.postNokIdentity(request)}) {response: ResponseBody -> response.result} + } + + override suspend fun sendDementiaIdentity(request: DementiaIdentityRequest): NetworkResult { + return handleApi({api.postDementiaIdentity(request)}) { response: ResponseBody -> response.result } + } + + override suspend fun checkInterConnected(request: DementiaKeyRequest): NetworkResult { + return handleApi({api.postIsConnected(request)}) { response: ResponseBody -> response.result} + } + override suspend fun sendUserLogin(request: UserLoginRequest) : NetworkResult{ + return handleApi({api.postUserLogin(request)}) { response : ResponseBody -> response.result} + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/nok/safearea/SafeAreaRepository.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/nok/safearea/SafeAreaRepository.kt new file mode 100644 index 00000000..d869f354 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/nok/safearea/SafeAreaRepository.kt @@ -0,0 +1,22 @@ +package kr.ac.tukorea.whereareu.data.repository.nok.safearea + +import kr.ac.tukorea.whereareu.data.model.nok.safearea.GetCoordRequest +import kr.ac.tukorea.whereareu.data.model.nok.safearea.response.GetSafeAreaGroupResponse +import kr.ac.tukorea.whereareu.data.model.nok.safearea.response.GetSafeAreaResponse +import kr.ac.tukorea.whereareu.data.model.nok.safearea.RegisterSafeAreaGroupRequest +import kr.ac.tukorea.whereareu.data.model.nok.safearea.response.RegisterSafeAreaGroupResponse +import kr.ac.tukorea.whereareu.data.model.nok.safearea.RegisterSafeAreaRequest +import kr.ac.tukorea.whereareu.data.model.nok.safearea.response.GetCoordResponse +import kr.ac.tukorea.whereareu.data.model.nok.safearea.response.RegisterSafeAreaResponse +import kr.ac.tukorea.whereareu.util.network.NetworkResult + +interface SafeAreaRepository { + suspend fun registerSafeArea(request: RegisterSafeAreaRequest): NetworkResult + + suspend fun registerSafeAreaGroup(request: RegisterSafeAreaGroupRequest): NetworkResult + suspend fun fetchSafeAreaAll(dementiaKey: String): NetworkResult + + suspend fun fetchSafeAreaGroup(dementiaKey: String, groupKey: String): NetworkResult + + suspend fun fetchCoord(request: GetCoordRequest): NetworkResult +} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/nok/safearea/SafeAreaRepositoryImpl.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/nok/safearea/SafeAreaRepositoryImpl.kt new file mode 100644 index 00000000..c803c4d8 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/data/repository/nok/safearea/SafeAreaRepositoryImpl.kt @@ -0,0 +1,42 @@ +package kr.ac.tukorea.whereareu.data.repository.nok.safearea + +import kr.ac.tukorea.whereareu.data.api.nok.SafeAreaService +import kr.ac.tukorea.whereareu.data.model.ResponseBody +import kr.ac.tukorea.whereareu.data.model.nok.safearea.GetCoordRequest +import kr.ac.tukorea.whereareu.data.model.nok.safearea.response.GetSafeAreaGroupResponse +import kr.ac.tukorea.whereareu.data.model.nok.safearea.response.GetSafeAreaResponse +import kr.ac.tukorea.whereareu.data.model.nok.safearea.RegisterSafeAreaGroupRequest +import kr.ac.tukorea.whereareu.data.model.nok.safearea.response.RegisterSafeAreaGroupResponse +import kr.ac.tukorea.whereareu.data.model.nok.safearea.RegisterSafeAreaRequest +import kr.ac.tukorea.whereareu.data.model.nok.safearea.response.GetCoordResponse +import kr.ac.tukorea.whereareu.data.model.nok.safearea.response.RegisterSafeAreaResponse +import kr.ac.tukorea.whereareu.util.network.NetworkResult +import kr.ac.tukorea.whereareu.util.network.handleApi +import javax.inject.Inject + +class SafeAreaRepositoryImpl @Inject constructor( + private val api: SafeAreaService +): SafeAreaRepository { + override suspend fun registerSafeArea(request: RegisterSafeAreaRequest): NetworkResult { + return handleApi({api.registerSafeArea(request)}) {response: RegisterSafeAreaResponse -> response} + } + + override suspend fun registerSafeAreaGroup(request: RegisterSafeAreaGroupRequest): NetworkResult { + return handleApi({api.registerSafeAreaGroup(request)}) {response: ResponseBody -> response.result} + } + + override suspend fun fetchSafeAreaAll(dementiaKey: String): NetworkResult { + return handleApi({api.getSafeAreaAll(dementiaKey)}) { response: ResponseBody -> response.result} + } + + override suspend fun fetchSafeAreaGroup( + dementiaKey: String, + groupKey: String + ): NetworkResult { + return handleApi({api.getSafeAreaGroup(dementiaKey, groupKey)}) {response: ResponseBody -> response.result} + } + + override suspend fun fetchCoord(request: GetCoordRequest): NetworkResult { + return handleApi({api.getCoord(request)}) {response: ResponseBody -> response.result} + } +} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/NetworkModule.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/NetworkModule.kt index d28591ed..04eada54 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/NetworkModule.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/NetworkModule.kt @@ -1,165 +1,165 @@ -package kr.ac.tukorea.whereareu.di - - -import dagger.Module -import dagger.Provides -import dagger.hilt.InstallIn -import dagger.hilt.components.SingletonComponent -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.WhereAreUApplication -import kr.ac.tukorea.whereareu.data.api.dementia.DementiaHomeService -import kr.ac.tukorea.whereareu.data.api.LoginService -import kr.ac.tukorea.whereareu.data.api.SettingService -import kr.ac.tukorea.whereareu.data.api.nok.NokHomeService -import kr.ac.tukorea.whereareu.util.location.LocationService -import kr.ac.tukorea.whereareu.util.network.KakaoInterceptor -import kr.ac.tukorea.whereareu.util.network.NaverInterceptor -import okhttp3.Interceptor -import okhttp3.Interceptor.* -import okhttp3.OkHttpClient -import okhttp3.Request -import okhttp3.logging.HttpLoggingInterceptor -import retrofit2.Retrofit -import retrofit2.converter.gson.GsonConverterFactory -import retrofit2.converter.scalars.ScalarsConverterFactory -import java.util.concurrent.TimeUnit -import javax.inject.Named -import javax.inject.Qualifier -import javax.inject.Singleton - - -@Module -@InstallIn(SingletonComponent::class) -object NetworkModule { - @Qualifier - @Retention(AnnotationRetention.BINARY) - annotation class BaseRetrofit - - @Qualifier - @Retention(AnnotationRetention.BINARY) - annotation class NaverRetrofit - - @Qualifier - @Retention(AnnotationRetention.BINARY) - annotation class KaKaoRetrofit - - const val NETWORK_EXCEPTION_OFFLINE_CASE = "network status is offline" - const val NETWORK_EXCEPTION_BODY_IS_NULL = "result.json body is null" - - @Provides - @Singleton - @BaseRetrofit - fun provideOKHttpClient(): OkHttpClient { - val interceptor = HttpLoggingInterceptor().apply { - level = HttpLoggingInterceptor.Level.BODY - } - - val closeInterceptor = Interceptor { chain -> - val request: Request = - chain.request().newBuilder().addHeader("Connection", "close").build() - chain.proceed(request) - } - - return OkHttpClient.Builder() - .connectTimeout(40, TimeUnit.SECONDS) - .readTimeout(40, TimeUnit.SECONDS) - .writeTimeout(40, TimeUnit.SECONDS) - .addInterceptor(interceptor) - .addNetworkInterceptor(closeInterceptor) - .retryOnConnectionFailure(false) - .build() - } - - @Provides - @Singleton - @NaverRetrofit - fun provideNaverOKHttpClient(): OkHttpClient { - val interceptor = HttpLoggingInterceptor().apply { - level = HttpLoggingInterceptor.Level.BODY - } - - val closeInterceptor = Interceptor { chain -> - val request: Request = - chain.request().newBuilder().addHeader("Connection", "close").build() - chain.proceed(request) - } - - return OkHttpClient.Builder() - .connectTimeout(10, TimeUnit.SECONDS) - .readTimeout(10, TimeUnit.SECONDS) - .writeTimeout(5, TimeUnit.SECONDS) - .addInterceptor(NaverInterceptor()) - .addInterceptor(interceptor) - .addNetworkInterceptor(closeInterceptor) - .retryOnConnectionFailure(false) - .build() - } - - @Provides - @Singleton - @KaKaoRetrofit - fun provideKakaoOKHttpClient(): OkHttpClient { - val interceptor = HttpLoggingInterceptor().apply { - level = HttpLoggingInterceptor.Level.BODY - } - - val closeInterceptor = Interceptor { chain -> - val request: Request = - chain.request().newBuilder().addHeader("Connection", "close").build() - chain.proceed(request) - } - - return OkHttpClient.Builder() - .connectTimeout(10, TimeUnit.SECONDS) - .readTimeout(10, TimeUnit.SECONDS) - .writeTimeout(5, TimeUnit.SECONDS) - .addInterceptor(KakaoInterceptor()) - .addInterceptor(interceptor) - .addNetworkInterceptor(closeInterceptor) - .retryOnConnectionFailure(false) - .build() - } - - @Provides - @Singleton - @BaseRetrofit - fun provideRetrofit( - @BaseRetrofit okHttpClient: OkHttpClient): Retrofit { - return Retrofit.Builder() - .client(okHttpClient) - .baseUrl(WhereAreUApplication.getString(R.string. base_url)) - .addConverterFactory(ScalarsConverterFactory.create()) - .addConverterFactory(GsonConverterFactory.create()) - .build() - } - - @Provides - @Singleton - @NaverRetrofit - fun provideNaverRetrofit( - @NaverRetrofit okHttpClient: OkHttpClient): Retrofit { - return Retrofit.Builder() - .client(okHttpClient) - .baseUrl(WhereAreUApplication.getString(R.string. naver_url)) - .addConverterFactory(ScalarsConverterFactory.create()) - .addConverterFactory(GsonConverterFactory.create()) - .build() - } - - @Provides - @Singleton - @KaKaoRetrofit - fun provideKakaoRetrofit( - @KaKaoRetrofit okHttpClient: OkHttpClient): Retrofit { - return Retrofit.Builder() - .client(okHttpClient) - .baseUrl(WhereAreUApplication.getString(R.string. kakao_url)) - .addConverterFactory(ScalarsConverterFactory.create()) - .addConverterFactory(GsonConverterFactory.create()) - .build() - } - - private inline fun Retrofit.buildService(): T { - return this.create(T::class.java) - } +package kr.ac.tukorea.whereareu.di + + +import dagger.Module +import dagger.Provides +import dagger.hilt.InstallIn +import dagger.hilt.components.SingletonComponent +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.WhereAreUApplication +import kr.ac.tukorea.whereareu.data.api.dementia.DementiaHomeService +import kr.ac.tukorea.whereareu.data.api.LoginService +import kr.ac.tukorea.whereareu.data.api.SettingService +import kr.ac.tukorea.whereareu.data.api.nok.NokHomeService +import kr.ac.tukorea.whereareu.util.location.LocationService +import kr.ac.tukorea.whereareu.util.network.KakaoInterceptor +import kr.ac.tukorea.whereareu.util.network.NaverInterceptor +import okhttp3.Interceptor +import okhttp3.Interceptor.* +import okhttp3.OkHttpClient +import okhttp3.Request +import okhttp3.logging.HttpLoggingInterceptor +import retrofit2.Retrofit +import retrofit2.converter.gson.GsonConverterFactory +import retrofit2.converter.scalars.ScalarsConverterFactory +import java.util.concurrent.TimeUnit +import javax.inject.Named +import javax.inject.Qualifier +import javax.inject.Singleton + + +@Module +@InstallIn(SingletonComponent::class) +object NetworkModule { + @Qualifier + @Retention(AnnotationRetention.BINARY) + annotation class BaseRetrofit + + @Qualifier + @Retention(AnnotationRetention.BINARY) + annotation class NaverRetrofit + + @Qualifier + @Retention(AnnotationRetention.BINARY) + annotation class KaKaoRetrofit + + const val NETWORK_EXCEPTION_OFFLINE_CASE = "network status is offline" + const val NETWORK_EXCEPTION_BODY_IS_NULL = "result.json body is null" + + @Provides + @Singleton + @BaseRetrofit + fun provideOKHttpClient(): OkHttpClient { + val interceptor = HttpLoggingInterceptor().apply { + level = HttpLoggingInterceptor.Level.BODY + } + + val closeInterceptor = Interceptor { chain -> + val request: Request = + chain.request().newBuilder().addHeader("Connection", "close").build() + chain.proceed(request) + } + + return OkHttpClient.Builder() + .connectTimeout(40, TimeUnit.SECONDS) + .readTimeout(40, TimeUnit.SECONDS) + .writeTimeout(40, TimeUnit.SECONDS) + .addInterceptor(interceptor) + .addNetworkInterceptor(closeInterceptor) + .retryOnConnectionFailure(false) + .build() + } + + @Provides + @Singleton + @NaverRetrofit + fun provideNaverOKHttpClient(): OkHttpClient { + val interceptor = HttpLoggingInterceptor().apply { + level = HttpLoggingInterceptor.Level.BODY + } + + val closeInterceptor = Interceptor { chain -> + val request: Request = + chain.request().newBuilder().addHeader("Connection", "close").build() + chain.proceed(request) + } + + return OkHttpClient.Builder() + .connectTimeout(10, TimeUnit.SECONDS) + .readTimeout(10, TimeUnit.SECONDS) + .writeTimeout(5, TimeUnit.SECONDS) + .addInterceptor(NaverInterceptor()) + .addInterceptor(interceptor) + .addNetworkInterceptor(closeInterceptor) + .retryOnConnectionFailure(false) + .build() + } + + @Provides + @Singleton + @KaKaoRetrofit + fun provideKakaoOKHttpClient(): OkHttpClient { + val interceptor = HttpLoggingInterceptor().apply { + level = HttpLoggingInterceptor.Level.BODY + } + + val closeInterceptor = Interceptor { chain -> + val request: Request = + chain.request().newBuilder().addHeader("Connection", "close").build() + chain.proceed(request) + } + + return OkHttpClient.Builder() + .connectTimeout(10, TimeUnit.SECONDS) + .readTimeout(10, TimeUnit.SECONDS) + .writeTimeout(5, TimeUnit.SECONDS) + .addInterceptor(KakaoInterceptor()) + .addInterceptor(interceptor) + .addNetworkInterceptor(closeInterceptor) + .retryOnConnectionFailure(false) + .build() + } + + @Provides + @Singleton + @BaseRetrofit + fun provideRetrofit( + @BaseRetrofit okHttpClient: OkHttpClient): Retrofit { + return Retrofit.Builder() + .client(okHttpClient) + .baseUrl(WhereAreUApplication.getString(R.string. base_url)) + .addConverterFactory(ScalarsConverterFactory.create()) + .addConverterFactory(GsonConverterFactory.create()) + .build() + } + + @Provides + @Singleton + @NaverRetrofit + fun provideNaverRetrofit( + @NaverRetrofit okHttpClient: OkHttpClient): Retrofit { + return Retrofit.Builder() + .client(okHttpClient) + .baseUrl(WhereAreUApplication.getString(R.string. naver_url)) + .addConverterFactory(ScalarsConverterFactory.create()) + .addConverterFactory(GsonConverterFactory.create()) + .build() + } + + @Provides + @Singleton + @KaKaoRetrofit + fun provideKakaoRetrofit( + @KaKaoRetrofit okHttpClient: OkHttpClient): Retrofit { + return Retrofit.Builder() + .client(okHttpClient) + .baseUrl(WhereAreUApplication.getString(R.string. kakao_url)) + .addConverterFactory(ScalarsConverterFactory.create()) + .addConverterFactory(GsonConverterFactory.create()) + .build() + } + + private inline fun Retrofit.buildService(): T { + return this.create(T::class.java) + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/RepositoryModule.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/RepositoryModule.kt index ea4ab550..c123d908 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/RepositoryModule.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/RepositoryModule.kt @@ -1,76 +1,85 @@ -package kr.ac.tukorea.whereareu.di - -import dagger.Module -import dagger.Provides -import dagger.hilt.InstallIn -import dagger.hilt.android.components.ViewModelComponent -import dagger.hilt.android.scopes.ViewModelScoped -import kr.ac.tukorea.whereareu.data.api.KakaoService -import kr.ac.tukorea.whereareu.data.api.dementia.DementiaHomeService -import kr.ac.tukorea.whereareu.data.api.LoginService -import kr.ac.tukorea.whereareu.data.api.NaverService -import kr.ac.tukorea.whereareu.data.api.nok.NokHomeService -import kr.ac.tukorea.whereareu.data.api.SettingService -import kr.ac.tukorea.whereareu.data.api.nok.LocationHistoryService -import kr.ac.tukorea.whereareu.data.repository.dementia.home.DementiaHomeRepository -import kr.ac.tukorea.whereareu.data.repository.dementia.home.DementiaHomeRepositoryImpl -import kr.ac.tukorea.whereareu.data.repository.kakao.KakaoRepository -import kr.ac.tukorea.whereareu.data.repository.kakao.KakaoRepositoryImpl -import kr.ac.tukorea.whereareu.data.repository.login.LoginRepository -import kr.ac.tukorea.whereareu.data.repository.login.LoginRepositoryImpl -import kr.ac.tukorea.whereareu.data.repository.naver.NaverRepository -import kr.ac.tukorea.whereareu.data.repository.naver.NaverRepositoryImpl -import kr.ac.tukorea.whereareu.data.repository.nok.history.LocationHistoryRepository -import kr.ac.tukorea.whereareu.data.repository.nok.history.LocationHistoryRepositoryImpl -import kr.ac.tukorea.whereareu.data.repository.nok.home.NokHomeRepository -import kr.ac.tukorea.whereareu.data.repository.nok.home.NokHomeRepositoryImpl -import kr.ac.tukorea.whereareu.data.repository.setting.SettingRepository -import kr.ac.tukorea.whereareu.data.repository.setting.SettingRepositoryImpl - -@Module -@InstallIn(ViewModelComponent::class) -object RepositoryModule { - - @ViewModelScoped - @Provides - fun providesLoginRepository( - loginService: LoginService - ): LoginRepository = LoginRepositoryImpl(loginService) - - @ViewModelScoped - @Provides - fun providesDementiaHomeRepository( - dementiaHomeService: DementiaHomeService - ): DementiaHomeRepository = DementiaHomeRepositoryImpl(dementiaHomeService) - - @ViewModelScoped - @Provides - fun provideNokHomeRepository( - nokHomeService: NokHomeService - ): NokHomeRepository = NokHomeRepositoryImpl(nokHomeService) - - @ViewModelScoped - @Provides - fun provideNaverRepository( - naverService: NaverService - ): NaverRepository = NaverRepositoryImpl(naverService) - - @ViewModelScoped - @Provides - fun provideKakaoRepository( - kakaoService: KakaoService - ): KakaoRepository = KakaoRepositoryImpl(kakaoService) - - @ViewModelScoped - @Provides - fun providesSettingRepository( - settingService: SettingService - ): SettingRepository = SettingRepositoryImpl(settingService) - - @ViewModelScoped - @Provides - fun providesLocationHistoryRepository( - locationHistoryService: LocationHistoryService - ): LocationHistoryRepository = LocationHistoryRepositoryImpl(locationHistoryService) - +package kr.ac.tukorea.whereareu.di + +import dagger.Module +import dagger.Provides +import dagger.hilt.InstallIn +import dagger.hilt.android.components.ViewModelComponent +import dagger.hilt.android.scopes.ViewModelScoped +import kr.ac.tukorea.whereareu.data.api.KakaoService +import kr.ac.tukorea.whereareu.data.api.dementia.DementiaHomeService +import kr.ac.tukorea.whereareu.data.api.LoginService +import kr.ac.tukorea.whereareu.data.api.NaverService +import kr.ac.tukorea.whereareu.data.api.nok.NokHomeService +import kr.ac.tukorea.whereareu.data.api.SettingService +import kr.ac.tukorea.whereareu.data.api.nok.LocationHistoryService +import kr.ac.tukorea.whereareu.data.api.nok.SafeAreaService +import kr.ac.tukorea.whereareu.data.repository.dementia.home.DementiaHomeRepository +import kr.ac.tukorea.whereareu.data.repository.dementia.home.DementiaHomeRepositoryImpl +import kr.ac.tukorea.whereareu.data.repository.kakao.KakaoRepository +import kr.ac.tukorea.whereareu.data.repository.kakao.KakaoRepositoryImpl +import kr.ac.tukorea.whereareu.data.repository.login.LoginRepository +import kr.ac.tukorea.whereareu.data.repository.login.LoginRepositoryImpl +import kr.ac.tukorea.whereareu.data.repository.naver.NaverRepository +import kr.ac.tukorea.whereareu.data.repository.naver.NaverRepositoryImpl +import kr.ac.tukorea.whereareu.data.repository.nok.history.LocationHistoryRepository +import kr.ac.tukorea.whereareu.data.repository.nok.history.LocationHistoryRepositoryImpl +import kr.ac.tukorea.whereareu.data.repository.nok.home.NokHomeRepository +import kr.ac.tukorea.whereareu.data.repository.nok.home.NokHomeRepositoryImpl +import kr.ac.tukorea.whereareu.data.repository.nok.safearea.SafeAreaRepository +import kr.ac.tukorea.whereareu.data.repository.nok.safearea.SafeAreaRepositoryImpl +import kr.ac.tukorea.whereareu.data.repository.setting.SettingRepository +import kr.ac.tukorea.whereareu.data.repository.setting.SettingRepositoryImpl + +@Module +@InstallIn(ViewModelComponent::class) +object RepositoryModule { + + @ViewModelScoped + @Provides + fun providesLoginRepository( + loginService: LoginService + ): LoginRepository = LoginRepositoryImpl(loginService) + + @ViewModelScoped + @Provides + fun providesDementiaHomeRepository( + dementiaHomeService: DementiaHomeService + ): DementiaHomeRepository = DementiaHomeRepositoryImpl(dementiaHomeService) + + @ViewModelScoped + @Provides + fun provideNokHomeRepository( + nokHomeService: NokHomeService + ): NokHomeRepository = NokHomeRepositoryImpl(nokHomeService) + + @ViewModelScoped + @Provides + fun provideNaverRepository( + naverService: NaverService + ): NaverRepository = NaverRepositoryImpl(naverService) + + @ViewModelScoped + @Provides + fun provideKakaoRepository( + kakaoService: KakaoService + ): KakaoRepository = KakaoRepositoryImpl(kakaoService) + + @ViewModelScoped + @Provides + fun providesSettingRepository( + settingService: SettingService + ): SettingRepository = SettingRepositoryImpl(settingService) + + @ViewModelScoped + @Provides + fun providesLocationHistoryRepository( + locationHistoryService: LocationHistoryService + ): LocationHistoryRepository = LocationHistoryRepositoryImpl(locationHistoryService) + + @ViewModelScoped + @Provides + fun providesSafeAreaRepository( + safeAreaService: SafeAreaService + ): SafeAreaRepository = SafeAreaRepositoryImpl(safeAreaService) + } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/SensorModule.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/SensorModule.kt index 6fd83208..6a467021 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/SensorModule.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/SensorModule.kt @@ -1,41 +1,41 @@ -package kr.ac.tukorea.whereareu.di - -import android.app.Application -import dagger.Module -import dagger.Provides -import dagger.hilt.InstallIn -import dagger.hilt.components.SingletonComponent -import kr.ac.tukorea.whereareu.util.sensor.AccelerometerSensor -import kr.ac.tukorea.whereareu.util.sensor.GyroScopeSensor -import kr.ac.tukorea.whereareu.util.sensor.LightSensor -import kr.ac.tukorea.whereareu.util.sensor.MagneticFieldSensor -import javax.inject.Singleton - -@Module -@InstallIn(SingletonComponent::class) -object SensorModule { - - @Provides - @Singleton - fun provideLightSensor(app: Application): LightSensor { - return LightSensor(app) - } - - @Provides - @Singleton - fun provideAccelerometer(app: Application): AccelerometerSensor { - return AccelerometerSensor(app) - } - - @Provides - @Singleton - fun provideGyroScopeSensor(app: Application): GyroScopeSensor { - return GyroScopeSensor(app) - } - - @Provides - @Singleton - fun provideMagneticFieldSensor(app: Application): MagneticFieldSensor { - return MagneticFieldSensor(app) - } +package kr.ac.tukorea.whereareu.di + +import android.app.Application +import dagger.Module +import dagger.Provides +import dagger.hilt.InstallIn +import dagger.hilt.components.SingletonComponent +import kr.ac.tukorea.whereareu.util.sensor.AccelerometerSensor +import kr.ac.tukorea.whereareu.util.sensor.GyroScopeSensor +import kr.ac.tukorea.whereareu.util.sensor.LightSensor +import kr.ac.tukorea.whereareu.util.sensor.MagneticFieldSensor +import javax.inject.Singleton + +@Module +@InstallIn(SingletonComponent::class) +object SensorModule { + + @Provides + @Singleton + fun provideLightSensor(app: Application): LightSensor { + return LightSensor(app) + } + + @Provides + @Singleton + fun provideAccelerometer(app: Application): AccelerometerSensor { + return AccelerometerSensor(app) + } + + @Provides + @Singleton + fun provideGyroScopeSensor(app: Application): GyroScopeSensor { + return GyroScopeSensor(app) + } + + @Provides + @Singleton + fun provideMagneticFieldSensor(app: Application): MagneticFieldSensor { + return MagneticFieldSensor(app) + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/ServiceModule.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/ServiceModule.kt index 2a4431ed..c64d82fa 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/ServiceModule.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/di/ServiceModule.kt @@ -11,6 +11,7 @@ import kr.ac.tukorea.whereareu.data.api.SettingService import kr.ac.tukorea.whereareu.data.api.dementia.DementiaHomeService import kr.ac.tukorea.whereareu.data.api.nok.LocationHistoryService import kr.ac.tukorea.whereareu.data.api.nok.NokHomeService +import kr.ac.tukorea.whereareu.data.api.nok.SafeAreaService import retrofit2.Retrofit import javax.inject.Singleton @@ -62,4 +63,10 @@ object ServiceModule { fun provideLocationHistoryAPI(@NetworkModule.BaseRetrofit retrofit: Retrofit): LocationHistoryService { return retrofit.buildService() } + + @Provides + @Singleton + fun provideSafeAreaAPI(@NetworkModule.BaseRetrofit retrofit: Retrofit): SafeAreaService { + return retrofit.buildService() + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/GroupedTimeInfo.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/GroupedTimeInfo.kt index 79c3381e..ae186166 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/GroupedTimeInfo.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/GroupedTimeInfo.kt @@ -1,6 +1,6 @@ package kr.ac.tukorea.whereareu.domain.home data class GroupedTimeInfo( - val dayOfWeek: String, + val dayOfTheWeek: String, val timeList: List ) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/InnerItemClickEvent.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/InnerItemClickEvent.kt deleted file mode 100644 index 6b24b94e..00000000 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/InnerItemClickEvent.kt +++ /dev/null @@ -1,8 +0,0 @@ -package kr.ac.tukorea.whereareu.domain.home - -import com.naver.maps.geometry.LatLng - -data class InnerItemClickEvent( - val behavior: Int, - val coord: LatLng -) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/LocationInfo.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/LocationInfo.kt new file mode 100644 index 00000000..1ff6f2da --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/LocationInfo.kt @@ -0,0 +1,14 @@ +package kr.ac.tukorea.whereareu.domain.home + +data class LocationInfo( + val battery: Int, + val isGpsOn: Boolean, + val isInternetOn: Boolean, + val isRingstoneOn: Int, + val latitude: Double, + val longitude: Double, + val userStatus: String, + val bearing: Float, + val currentSpeed: Float, + val isPredicted: Boolean +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/MeaningfulPlaceInfo.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/MeaningfulPlaceInfo.kt index 0306d92e..0a3b3b36 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/MeaningfulPlaceInfo.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/MeaningfulPlaceInfo.kt @@ -3,6 +3,7 @@ package kr.ac.tukorea.whereareu.domain.home import com.naver.maps.geometry.LatLng import kr.ac.tukorea.whereareu.data.model.nok.home.PoliceStationInfoResponse import kr.ac.tukorea.whereareu.data.model.nok.home.TimeInfo +import java.io.Serializable data class MeaningfulPlaceInfo( val address: String, @@ -10,4 +11,6 @@ data class MeaningfulPlaceInfo( val latLng: LatLng, var isExpanded: Boolean = false, var policeStationInfo: List -) +): Serializable{ + constructor(): this("", emptyList(), LatLng.INVALID, false, emptyList()) +} diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/PredictLocation.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/PredictLocation.kt new file mode 100644 index 00000000..ecb8bdc5 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/PredictLocation.kt @@ -0,0 +1,8 @@ +package kr.ac.tukorea.whereareu.domain.home + +data class PredictLocation( + val meaningfulPlaceInfo: MeaningfulPlaceInfo, + val policeStationInfo: List +){ + constructor(): this(MeaningfulPlaceInfo(), emptyList()) +} diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/PredictMetaData.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/PredictMetaData.kt new file mode 100644 index 00000000..e781472f --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/home/PredictMetaData.kt @@ -0,0 +1,9 @@ +package kr.ac.tukorea.whereareu.domain.home + +import com.naver.maps.map.overlay.CircleOverlay +import com.naver.maps.map.overlay.Marker + +data class PredictMetaData( + val markers: MutableList = mutableListOf(), + val circleOverlay: CircleOverlay = CircleOverlay() +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/login/NokInfo.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/login/NokInfo.kt index adeb08f9..87a5ebf4 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/login/NokInfo.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/login/NokInfo.kt @@ -1,10 +1,10 @@ -package kr.ac.tukorea.whereareu.domain.login - -data class NokInfo( - val nokKey : String, - val nokName : String, - val nokPhoneNumber : String, - val updateRate : Int = 60 -) { - constructor(): this("", "", "", 0) -} +package kr.ac.tukorea.whereareu.domain.login + +data class NokInfo( + val nokKey : String, + val nokName : String, + val nokPhoneNumber : String, + val updateRate : Int = 60 +) { + constructor(): this("", "", "", 0) +} diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/safearea/SafeArea.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/safearea/SafeArea.kt new file mode 100644 index 00000000..a8590550 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/safearea/SafeArea.kt @@ -0,0 +1,14 @@ +package kr.ac.tukorea.whereareu.domain.safearea + +import java.io.Serializable + +data class SafeArea( + val groupName: String, + val groupKey: String, + val areaKey: String, + val areaName: String, + val latitude: Double, + val longitude: Double, + val radius: Int, + val viewType: Int +): Serializable diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/safearea/SafeAreaDetail.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/safearea/SafeAreaDetail.kt new file mode 100644 index 00000000..61af6197 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/safearea/SafeAreaDetail.kt @@ -0,0 +1,8 @@ +package kr.ac.tukorea.whereareu.domain.safearea + +data class SafeAreaDetail( + val areaName: String, + val latitude: Double, + val longitude: Double, + val radius: Int, +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/safearea/SafeAreaMetaData.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/safearea/SafeAreaMetaData.kt new file mode 100644 index 00000000..6bdf081e --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/domain/safearea/SafeAreaMetaData.kt @@ -0,0 +1,12 @@ +package kr.ac.tukorea.whereareu.domain.safearea + +import com.naver.maps.map.overlay.CircleOverlay +import com.naver.maps.map.overlay.Marker + +data class SafeAreaMetaData( + val settingMarker: Marker = Marker(), + val settingCircleOverlay: CircleOverlay = CircleOverlay(), + val markers: MutableList = mutableListOf(), + val circleOverlays: MutableList = mutableListOf(), + var isSettingSafeArea: Boolean = false +) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/BindingAdapter.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/BindingAdapter.kt index 754a9afd..052f220d 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/BindingAdapter.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/BindingAdapter.kt @@ -1,7 +1,10 @@ package kr.ac.tukorea.whereareu.presentation import android.content.Context +import android.util.Log import android.view.View +import android.view.inputmethod.EditorInfo +import android.widget.EditText import android.widget.ImageView import android.widget.LinearLayout import android.widget.TextView @@ -12,6 +15,8 @@ import androidx.databinding.BindingAdapter import com.bumptech.glide.Glide import kr.ac.tukorea.whereareu.R import kr.ac.tukorea.whereareu.presentation.nok.home.NokHomeViewModel +import kr.ac.tukorea.whereareu.presentation.nok.safearea.SafeAreaViewModel +import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.setOnEditorActionListener import kr.ac.tukorea.whereareu.util.extension.setRingtoneImage object BindingAdapter { @@ -55,10 +60,14 @@ object BindingAdapter { @BindingAdapter("bind:navigateEvent", "bind:isPredicted") @JvmStatic fun setBottomSheetVisible(view: ConstraintLayout, navigateEvent: String, isPredicted: Boolean) { - view.isVisible = if (navigateEvent == "Home" && !isPredicted) { - false + if(navigateEvent == "Home"){ + view.isVisible = if(isPredicted){ + true + } else { + false + } } else { - true + view.isVisible = true } } @@ -66,11 +75,12 @@ object BindingAdapter { @JvmStatic fun setBottomSheetIconVisible(view: ImageView, navigateEvent: String){ val color = when(navigateEvent){ - NokHomeViewModel.NavigateEvent.Home.toString() -> R.color.gray40 - NokHomeViewModel.NavigateEvent.LocationHistory.toString() -> R.color.white - NokHomeViewModel.NavigateEvent.MeaningfulPlace.toString() -> R.color.gray40 - NokHomeViewModel.NavigateEvent.Setting.toString() -> R.color.white - NokHomeViewModel.NavigateEvent.SafeArea.toString() -> R.color.gray40 + "Home" -> R.color.gray40 + "LocationHistory" -> R.color.white + "MeaningfulPlace" -> R.color.gray40 + "Setting" -> R.color.white + "SafeArea" -> R.color.white + "SafeAreaInner" -> R.color.gray40 else -> R.color.white } view.setColorFilter(ContextCompat.getColor(view.context, color)) @@ -81,4 +91,39 @@ object BindingAdapter { fun setStopStatusPeriod(view: TextView, stopStatusPeriod: String){ view.text = stopStatusPeriod.replace(",", " ~ ") } + + @BindingAdapter("bind:navigateEvent", "bind:isPredicted") + @JvmStatic + fun setHomeComponentBtnVisible(view: TextView, navigateEvent: String, isPredicted: Boolean){ + Log.d("binding adapter djs", isPredicted.toString()) + if(navigateEvent == "Home"){ + view.isVisible = if(isPredicted){ + false + } else { + true + } + } else { + view.isVisible = false + } + } + + @BindingAdapter("bind:dayOfWeek") + @JvmStatic + fun setDayOfWeekColor(view: TextView, dayOfWeek: String){ + val drawable = when(dayOfWeek){ + "토" -> R.drawable.oval_blue + "일" -> R.drawable.oval_red + else -> R.drawable.oval_black + } + view.background = ContextCompat.getDrawable(view.context, drawable) + } + + @BindingAdapter("bind:searchAddress") + @JvmStatic + fun EditText.searchAddress(viewModel: SafeAreaViewModel){ + this.setOnEditorActionListener(EditorInfo.IME_ACTION_DONE){ + viewModel.fetchCoord(this.text.toString()) + } + } + } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/MeaningfulPlaceFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/MeaningfulPlaceFragment.kt index 1fda5a4e..8b9cd8a3 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/MeaningfulPlaceFragment.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/MeaningfulPlaceFragment.kt @@ -1,15 +1,15 @@ -package kr.ac.tukorea.whereareu.presentation - -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.databinding.FragmentMeaningfulPlaceBinding -import kr.ac.tukorea.whereareu.presentation.base.BaseFragment - -class MeaningfulPlaceFragment: BaseFragment(R.layout.fragment_meaningful_place) { - override fun initObserver() { - - } - - override fun initView() { - - } +package kr.ac.tukorea.whereareu.presentation + +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.databinding.FragmentMeaningfulPlaceBinding +import kr.ac.tukorea.whereareu.presentation.base.BaseFragment + +class MeaningfulPlaceFragment: BaseFragment(R.layout.fragment_meaningful_place) { + override fun initObserver() { + + } + + override fun initView() { + + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/SafeAreaFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/SafeAreaFragment.kt deleted file mode 100644 index bc97bcb4..00000000 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/SafeAreaFragment.kt +++ /dev/null @@ -1,15 +0,0 @@ -package kr.ac.tukorea.whereareu.presentation - -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.databinding.FragmentSafeAreaBinding -import kr.ac.tukorea.whereareu.presentation.base.BaseFragment - -class SafeAreaFragment: BaseFragment(R.layout.fragment_safe_area) { - override fun initObserver() { - - } - - override fun initView() { - - } -} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseActivity.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseActivity.kt index fdad9a65..c491c072 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseActivity.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseActivity.kt @@ -1,47 +1,47 @@ -package kr.ac.tukorea.whereareu.presentation.base - -import android.content.Context -import android.os.Bundle -import androidx.activity.enableEdgeToEdge -import androidx.annotation.LayoutRes -import androidx.appcompat.app.AppCompatActivity -import androidx.databinding.DataBindingUtil -import androidx.databinding.ViewDataBinding -import kr.ac.tukorea.whereareu.presentation.LoadingDialog - -abstract class BaseActivity(@LayoutRes val layoutResource: Int) : - AppCompatActivity() { - - private var _binding: V? = null - protected val binding: V get() = _binding!! - abstract fun initView() - protected abstract fun initObserver() - - private lateinit var loadingDialog: LoadingDialog - private var loadingState = false - override fun onCreate(savedInstanceState: Bundle?) { - super.onCreate(savedInstanceState) - _binding = DataBindingUtil.setContentView(this, layoutResource) - binding.lifecycleOwner = this - enableEdgeToEdge() - setContentView(binding.root) - initObserver() - initView() - } - - fun showLoadingDialog(context: Context, text: String) { - if (!loadingState) { - loadingDialog = LoadingDialog(context, text) - loadingDialog.show() - loadingState = true - } - - } - fun dismissLoadingDialog() { - if (loadingState) { - loadingDialog.dismiss() - loadingState = false - } - } - +package kr.ac.tukorea.whereareu.presentation.base + +import android.content.Context +import android.os.Bundle +import androidx.activity.enableEdgeToEdge +import androidx.annotation.LayoutRes +import androidx.appcompat.app.AppCompatActivity +import androidx.databinding.DataBindingUtil +import androidx.databinding.ViewDataBinding +import kr.ac.tukorea.whereareu.presentation.LoadingDialog + +abstract class BaseActivity(@LayoutRes val layoutResource: Int) : + AppCompatActivity() { + + private var _binding: V? = null + protected val binding: V get() = _binding!! + abstract fun initView() + protected abstract fun initObserver() + + private lateinit var loadingDialog: LoadingDialog + private var loadingState = false + override fun onCreate(savedInstanceState: Bundle?) { + super.onCreate(savedInstanceState) + _binding = DataBindingUtil.setContentView(this, layoutResource) + binding.lifecycleOwner = this + enableEdgeToEdge() + setContentView(binding.root) + initObserver() + initView() + } + + fun showLoadingDialog(context: Context, text: String) { + if (!loadingState) { + loadingDialog = LoadingDialog(context, text) + loadingDialog.show() + loadingState = true + } + + } + fun dismissLoadingDialog() { + if (loadingState) { + loadingDialog.dismiss() + loadingState = false + } + } + } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseBottomSheetDialogFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseBottomSheetDialogFragment.kt index 0b794ef8..6001c115 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseBottomSheetDialogFragment.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseBottomSheetDialogFragment.kt @@ -1,44 +1,44 @@ -package kr.ac.tukorea.whereareu.presentation.base - -import android.os.Bundle -import android.view.LayoutInflater -import android.view.View -import android.view.ViewGroup -import androidx.annotation.LayoutRes -import androidx.databinding.DataBindingUtil -import androidx.databinding.ViewDataBinding -import com.google.android.material.bottomsheet.BottomSheetDialogFragment - -abstract class BaseBottomSheetDialogFragment(@LayoutRes val layoutResource: Int) : - BottomSheetDialogFragment() { - private var _binding: V? = null - protected val binding: V get() = _binding!! - abstract fun initObserver() - abstract fun initView() - - override fun onCreateView( - inflater: LayoutInflater, - container: ViewGroup?, - savedInstanceState: Bundle? - ): View { - _binding = DataBindingUtil.inflate( - layoutInflater, - layoutResource, - null, - false - ) - binding.lifecycleOwner = this.viewLifecycleOwner - return binding.root - } - - override fun onViewCreated(view: View, savedInstanceState: Bundle?) { - super.onViewCreated(view, savedInstanceState) - initObserver() - initView() - } - - override fun onDestroyView() { - super.onDestroyView() - _binding = null - } +package kr.ac.tukorea.whereareu.presentation.base + +import android.os.Bundle +import android.view.LayoutInflater +import android.view.View +import android.view.ViewGroup +import androidx.annotation.LayoutRes +import androidx.databinding.DataBindingUtil +import androidx.databinding.ViewDataBinding +import com.google.android.material.bottomsheet.BottomSheetDialogFragment + +abstract class BaseBottomSheetDialogFragment(@LayoutRes val layoutResource: Int) : + BottomSheetDialogFragment() { + private var _binding: V? = null + protected val binding: V get() = _binding!! + abstract fun initObserver() + abstract fun initView() + + override fun onCreateView( + inflater: LayoutInflater, + container: ViewGroup?, + savedInstanceState: Bundle? + ): View { + _binding = DataBindingUtil.inflate( + layoutInflater, + layoutResource, + null, + false + ) + binding.lifecycleOwner = this.viewLifecycleOwner + return binding.root + } + + override fun onViewCreated(view: View, savedInstanceState: Bundle?) { + super.onViewCreated(view, savedInstanceState) + initObserver() + initView() + } + + override fun onDestroyView() { + super.onDestroyView() + _binding = null + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseDialogFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseDialogFragment.kt index 6f45b60a..dce95284 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseDialogFragment.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseDialogFragment.kt @@ -1,47 +1,79 @@ -package kr.ac.tukorea.whereareu.presentation.base - -import android.graphics.Color -import android.graphics.drawable.ColorDrawable -import android.os.Bundle -import android.view.LayoutInflater -import android.view.View -import android.view.ViewGroup -import androidx.annotation.LayoutRes -import androidx.databinding.DataBindingUtil -import androidx.databinding.ViewDataBinding -import androidx.fragment.app.DialogFragment - -abstract class BaseDialogFragment(@LayoutRes val layoutResource: Int) : - DialogFragment() { - private var _binding: V? = null - protected val binding: V get() = _binding!! - abstract fun initObserver() - abstract fun initView() - - override fun onCreateView( - inflater: LayoutInflater, - container: ViewGroup?, - savedInstanceState: Bundle? - ): View { - _binding = DataBindingUtil.inflate( - layoutInflater, - layoutResource, - null, - false - ) - binding.lifecycleOwner = this.viewLifecycleOwner - return binding.root - } - - override fun onViewCreated(view: View, savedInstanceState: Bundle?) { - super.onViewCreated(view, savedInstanceState) - dialog?.window?.setBackgroundDrawable(ColorDrawable(Color.TRANSPARENT)) - initObserver() - initView() - } - - override fun onDestroyView() { - super.onDestroyView() - _binding = null - } +package kr.ac.tukorea.whereareu.presentation.base + +import android.content.Context +import android.graphics.Color +import android.graphics.Point +import android.graphics.drawable.ColorDrawable +import android.os.Build +import android.os.Bundle +import android.view.LayoutInflater +import android.view.View +import android.view.ViewGroup +import android.view.WindowManager +import androidx.annotation.LayoutRes +import androidx.databinding.DataBindingUtil +import androidx.databinding.ViewDataBinding +import androidx.fragment.app.DialogFragment + +abstract class BaseDialogFragment(@LayoutRes val layoutResource: Int) : + DialogFragment() { + private var _binding: V? = null + protected val binding: V get() = _binding!! + abstract fun initObserver() + abstract fun initView() + + override fun onCreateView( + inflater: LayoutInflater, + container: ViewGroup?, + savedInstanceState: Bundle? + ): View { + _binding = DataBindingUtil.inflate( + layoutInflater, + layoutResource, + null, + false + ) + binding.lifecycleOwner = this.viewLifecycleOwner + return binding.root + } + + override fun onViewCreated(view: View, savedInstanceState: Bundle?) { + super.onViewCreated(view, savedInstanceState) + dialog?.window?.setBackgroundDrawable(ColorDrawable(Color.TRANSPARENT)) + initObserver() + initView() + } + + override fun onDestroyView() { + super.onDestroyView() + _binding = null + } + + protected open fun Context.dialogFragmentResize(dialogFragment: DialogFragment, width: Float, height: Float) { + val windowManager = getSystemService(Context.WINDOW_SERVICE) as WindowManager + if (Build.VERSION.SDK_INT < 30) { + + val display = windowManager.defaultDisplay + val size = Point() + + display.getSize(size) + + val window = dialogFragment.dialog?.window + + val x = (size.x * width).toInt() + val y = (size.y * height).toInt() + window?.setLayout(x, y) + + } else { + + val rect = windowManager.currentWindowMetrics.bounds + + val window = dialogFragment.dialog?.window + + val x = (rect.width() * width).toInt() + val y = (rect.height() * height).toInt() + + window?.setLayout(x, y) + } + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseFragment.kt index 6e19d311..de089ff2 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseFragment.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/base/BaseFragment.kt @@ -1,64 +1,66 @@ -package kr.ac.tukorea.whereareu.presentation.base - -import android.content.Context -import android.os.Bundle -import android.view.LayoutInflater -import android.view.View -import android.view.ViewGroup -import androidx.annotation.LayoutRes -import androidx.databinding.DataBindingUtil -import androidx.databinding.ViewDataBinding -import androidx.fragment.app.Fragment -import kr.ac.tukorea.whereareu.presentation.LoadingDialog - -abstract class BaseFragment(@LayoutRes val layoutResource: Int) : androidx.fragment.app.Fragment() { - - private var _binding: V? = null - protected val binding: V get() = _binding!! - - private lateinit var loadingDialog: LoadingDialog - private var loadingState = false - abstract fun initObserver() - abstract fun initView() - - override fun onCreateView( - inflater: LayoutInflater, - container: ViewGroup?, - savedInstanceState: Bundle? - ): View { - _binding = DataBindingUtil.inflate( - layoutInflater, - layoutResource, - null, - false - ) - binding.lifecycleOwner = this.viewLifecycleOwner - return binding.root - } - - fun showLoadingDialog(context: Context, text: String) { - if (!loadingState) { - loadingDialog = LoadingDialog(context, text) - loadingDialog.show() - loadingState = true - } - - } - fun dismissLoadingDialog() { - if (loadingState) { - loadingDialog.dismiss() - loadingState = false - } - } - - override fun onViewCreated(view: View, savedInstanceState: Bundle?) { - super.onViewCreated(view, savedInstanceState) - initObserver() - initView() - } - - override fun onDestroyView() { - super.onDestroyView() - _binding = null - } +package kr.ac.tukorea.whereareu.presentation.base + +import android.content.Context +import android.os.Bundle +import android.util.Log +import android.view.LayoutInflater +import android.view.View +import android.view.ViewGroup +import androidx.annotation.LayoutRes +import androidx.databinding.DataBindingUtil +import androidx.databinding.ViewDataBinding +import androidx.fragment.app.Fragment +import kr.ac.tukorea.whereareu.presentation.LoadingDialog + +abstract class BaseFragment(@LayoutRes val layoutResource: Int) : androidx.fragment.app.Fragment() { + + private var _binding: V? = null + protected val binding: V get() = _binding!! + + private lateinit var loadingDialog: LoadingDialog + private var loadingState = false + abstract fun initObserver() + abstract fun initView() + + override fun onCreateView( + inflater: LayoutInflater, + container: ViewGroup?, + savedInstanceState: Bundle? + ): View { + _binding = DataBindingUtil.inflate( + layoutInflater, + layoutResource, + null, + false + ) + binding.lifecycleOwner = this.viewLifecycleOwner + return binding.root + } + + fun showLoadingDialog(context: Context, text: String) { + if (!loadingState) { + loadingDialog = LoadingDialog(context, text) + loadingDialog.show() + loadingState = true + } + + } + fun dismissLoadingDialog() { + if (loadingState) { + loadingDialog.dismiss() + loadingState = false + } + } + + override fun onViewCreated(view: View, savedInstanceState: Bundle?) { + super.onViewCreated(view, savedInstanceState) + initObserver() + initView() + } + + override fun onDestroyView() { + super.onDestroyView() + Log.d("fragment onDestroyView", "onDestroyView") + _binding = null + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/dementia/DementiaMainActivity.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/dementia/DementiaMainActivity.kt index c82b4b2b..4580d839 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/dementia/DementiaMainActivity.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/dementia/DementiaMainActivity.kt @@ -1,107 +1,107 @@ -package kr.ac.tukorea.whereareu.presentation.dementia - -import android.content.Context -import android.content.Intent -import android.content.pm.PackageManager -import android.location.LocationManager -import android.os.Build -import android.provider.Settings -import android.util.Log -import androidx.core.app.ActivityCompat -import androidx.core.content.ContentProviderCompat.requireContext -import androidx.core.content.ContextCompat -import androidx.lifecycle.lifecycleScope -import androidx.navigation.fragment.NavHostFragment -import androidx.navigation.ui.setupWithNavController -import dagger.hilt.android.AndroidEntryPoint -import kotlinx.coroutines.delay -import kotlinx.coroutines.launch -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.databinding.ActivityDementiaMainBinding -import kr.ac.tukorea.whereareu.presentation.base.BaseActivity -import kr.ac.tukorea.whereareu.util.location.LocationService -import kr.ac.tukorea.whereareu.util.extension.navigationHeight -import kr.ac.tukorea.whereareu.util.extension.setStatusBarTransparent -import kr.ac.tukorea.whereareu.util.extension.showToastLong -import kr.ac.tukorea.whereareu.util.extension.showToastOnView -import kr.ac.tukorea.whereareu.util.extension.showToastShort - - -@AndroidEntryPoint -class DementiaMainActivity: BaseActivity(R.layout.activity_dementia_main) { - private val BACKGROUND_LOCATION_PERMISSION_REQUEST_CODE = 456 - override fun initView() { - initNavigator() - this.setStatusBarTransparent() - binding.layout.setPadding(0, 0, 0, this.navigationHeight()) - - if (!checkBackGroundLocationPermission()){ - lifecycleScope.launch { - showToastLong(this@DementiaMainActivity, "백그라운드 위치 정보 수집을 위해\n권한을 항상 허용으로 설정해주세요") - delay(4000) - requestBackGroundLocationPermission() - } - } - - //gps off시 gps 설정화면으로 이동 - checkGpsStatus() - - initLocationService() - } - - private fun initNavigator(){ - val navHostFragment = - supportFragmentManager.findFragmentById(R.id.fragmentContainer) as NavHostFragment - val navController = navHostFragment.navController - - binding.bottomNav.setupWithNavController(navController) - } - - private fun checkBackGroundLocationPermission(): Boolean { - return if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.Q) { - (ContextCompat.checkSelfPermission( - this, - android.Manifest.permission.ACCESS_BACKGROUND_LOCATION - ) == PackageManager.PERMISSION_GRANTED) - } else { - return true - } - } - - private fun requestBackGroundLocationPermission() { - if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.Q) { - ActivityCompat.requestPermissions( - this, - arrayOf(android.Manifest.permission.ACCESS_BACKGROUND_LOCATION), - BACKGROUND_LOCATION_PERMISSION_REQUEST_CODE - ) - } - } - - private fun initLocationService(){ - Intent(applicationContext, LocationService::class.java).apply { - action = LocationService.ACTION_START - startService(this) - } - } - - private fun requestSystemGPSEnable() { - showToastShort(this, "핸드폰 GPS를 켜주세요") - val intent = Intent(Settings.ACTION_LOCATION_SOURCE_SETTINGS) - startActivity(intent) - } - - private fun checkGpsStatus(){ - val locationManager = this.getSystemService(Context.LOCATION_SERVICE) as LocationManager - val isGpsEnable = locationManager.isProviderEnabled(LocationManager.NETWORK_PROVIDER) && locationManager.isProviderEnabled( - LocationManager.GPS_PROVIDER) - Log.d("gps status", isGpsEnable.toString()) - if (!isGpsEnable){ - requestSystemGPSEnable() - } - } - - override fun initObserver() { - } - +package kr.ac.tukorea.whereareu.presentation.dementia + +import android.content.Context +import android.content.Intent +import android.content.pm.PackageManager +import android.location.LocationManager +import android.os.Build +import android.provider.Settings +import android.util.Log +import androidx.core.app.ActivityCompat +import androidx.core.content.ContentProviderCompat.requireContext +import androidx.core.content.ContextCompat +import androidx.lifecycle.lifecycleScope +import androidx.navigation.fragment.NavHostFragment +import androidx.navigation.ui.setupWithNavController +import dagger.hilt.android.AndroidEntryPoint +import kotlinx.coroutines.delay +import kotlinx.coroutines.launch +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.databinding.ActivityDementiaMainBinding +import kr.ac.tukorea.whereareu.presentation.base.BaseActivity +import kr.ac.tukorea.whereareu.util.location.LocationService +import kr.ac.tukorea.whereareu.util.extension.navigationHeight +import kr.ac.tukorea.whereareu.util.extension.setStatusBarTransparent +import kr.ac.tukorea.whereareu.util.extension.showToastLong +import kr.ac.tukorea.whereareu.util.extension.showToastOnView +import kr.ac.tukorea.whereareu.util.extension.showToastShort + + +@AndroidEntryPoint +class DementiaMainActivity: BaseActivity(R.layout.activity_dementia_main) { + private val BACKGROUND_LOCATION_PERMISSION_REQUEST_CODE = 456 + override fun initView() { + initNavigator() + this.setStatusBarTransparent() + binding.layout.setPadding(0, 0, 0, this.navigationHeight()) + + if (!checkBackGroundLocationPermission()){ + lifecycleScope.launch { + showToastLong(this@DementiaMainActivity, "백그라운드 위치 정보 수집을 위해\n권한을 항상 허용으로 설정해주세요") + delay(4000) + requestBackGroundLocationPermission() + } + } + + //gps off시 gps 설정화면으로 이동 + checkGpsStatus() + + initLocationService() + } + + private fun initNavigator(){ + val navHostFragment = + supportFragmentManager.findFragmentById(R.id.fragmentContainer) as NavHostFragment + val navController = navHostFragment.navController + + binding.bottomNav.setupWithNavController(navController) + } + + private fun checkBackGroundLocationPermission(): Boolean { + return if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.Q) { + (ContextCompat.checkSelfPermission( + this, + android.Manifest.permission.ACCESS_BACKGROUND_LOCATION + ) == PackageManager.PERMISSION_GRANTED) + } else { + return true + } + } + + private fun requestBackGroundLocationPermission() { + if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.Q) { + ActivityCompat.requestPermissions( + this, + arrayOf(android.Manifest.permission.ACCESS_BACKGROUND_LOCATION), + BACKGROUND_LOCATION_PERMISSION_REQUEST_CODE + ) + } + } + + private fun initLocationService(){ + Intent(applicationContext, LocationService::class.java).apply { + action = LocationService.ACTION_START + startService(this) + } + } + + private fun requestSystemGPSEnable() { + showToastShort(this, "핸드폰 GPS를 켜주세요") + val intent = Intent(Settings.ACTION_LOCATION_SOURCE_SETTINGS) + startActivity(intent) + } + + private fun checkGpsStatus(){ + val locationManager = this.getSystemService(Context.LOCATION_SERVICE) as LocationManager + val isGpsEnable = locationManager.isProviderEnabled(LocationManager.NETWORK_PROVIDER) && locationManager.isProviderEnabled( + LocationManager.GPS_PROVIDER) + Log.d("gps status", isGpsEnable.toString()) + if (!isGpsEnable){ + requestSystemGPSEnable() + } + } + + override fun initObserver() { + } + } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/dementia/home/DementiaHomeFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/dementia/home/DementiaHomeFragment.kt deleted file mode 100644 index 77b0b3a5..00000000 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/dementia/home/DementiaHomeFragment.kt +++ /dev/null @@ -1,19 +0,0 @@ -package kr.ac.tukorea.whereareu.presentation.dementia.home - -import android.content.pm.PackageManager -import android.os.Build -import androidx.core.app.ActivityCompat -import androidx.core.content.ContextCompat -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.databinding.FragmentHomeBinding -import kr.ac.tukorea.whereareu.presentation.base.BaseFragment - -class DementiaHomeFragment: BaseFragment(R.layout.fragment_home) { - override fun initObserver() { - - } - - override fun initView() { - - } -} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/LoginActivity.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/LoginActivity.kt index 938bd0b9..ce67c92e 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/LoginActivity.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/LoginActivity.kt @@ -1,29 +1,29 @@ -package kr.ac.tukorea.whereareu.presentation.login - -import androidx.navigation.NavController -import androidx.navigation.fragment.NavHostFragment -import dagger.hilt.android.AndroidEntryPoint -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.databinding.ActivityLoginBinding -import kr.ac.tukorea.whereareu.presentation.base.BaseActivity -import kr.ac.tukorea.whereareu.util.extension.setStatusBarTransparent -import kr.ac.tukorea.whereareu.util.extension.statusBarHeight - -@AndroidEntryPoint -class LoginActivity : BaseActivity(R.layout.activity_login) { - private lateinit var navHostFragment: NavHostFragment - private lateinit var navController: NavController - override fun initView() { - //상태바 투명 설정 - this.setStatusBarTransparent() - binding.layout.setPadding(0, this.statusBarHeight(), 0, 0) - - navHostFragment = - supportFragmentManager.findFragmentById(R.id.nav_host_fragment) as NavHostFragment - navController = navHostFragment.navController - } - - override fun initObserver() { - } - // extention.kt +package kr.ac.tukorea.whereareu.presentation.login + +import androidx.navigation.NavController +import androidx.navigation.fragment.NavHostFragment +import dagger.hilt.android.AndroidEntryPoint +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.databinding.ActivityLoginBinding +import kr.ac.tukorea.whereareu.presentation.base.BaseActivity +import kr.ac.tukorea.whereareu.util.extension.setStatusBarTransparent +import kr.ac.tukorea.whereareu.util.extension.statusBarHeight + +@AndroidEntryPoint +class LoginActivity : BaseActivity(R.layout.activity_login) { + private lateinit var navHostFragment: NavHostFragment + private lateinit var navController: NavController + override fun initView() { + //상태바 투명 설정 + this.setStatusBarTransparent() + binding.layout.setPadding(0, this.statusBarHeight(), 0, 0) + + navHostFragment = + supportFragmentManager.findFragmentById(R.id.nav_host_fragment) as NavHostFragment + navController = navHostFragment.navController + } + + override fun initObserver() { + } + // extention.kt } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/LoginFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/LoginFragment.kt index ca264fa0..87772de4 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/LoginFragment.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/LoginFragment.kt @@ -1,30 +1,30 @@ -package kr.ac.tukorea.whereareu.presentation.login - -import androidx.activity.OnBackPressedCallback -import androidx.activity.addCallback -import androidx.navigation.fragment.findNavController -import dagger.hilt.android.AndroidEntryPoint -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.databinding.FragmentLoginBinding -import kr.ac.tukorea.whereareu.presentation.base.BaseFragment - -@AndroidEntryPoint -class LoginFragment: BaseFragment(R.layout.fragment_login) { - - override fun initObserver() { - - } - - override fun initView() { - binding.view = this - } - - fun onClickNok(){ - findNavController().navigate(R.id.action_loginFragment_to_nokIdentityFragment) - } - fun onClickPatient(){ - findNavController().navigate(R.id.action_loginFragment_to_patientFragment) - } - - +package kr.ac.tukorea.whereareu.presentation.login + +import androidx.activity.OnBackPressedCallback +import androidx.activity.addCallback +import androidx.navigation.fragment.findNavController +import dagger.hilt.android.AndroidEntryPoint +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.databinding.FragmentLoginBinding +import kr.ac.tukorea.whereareu.presentation.base.BaseFragment + +@AndroidEntryPoint +class LoginFragment: BaseFragment(R.layout.fragment_login) { + + override fun initObserver() { + + } + + override fun initView() { + binding.view = this + } + + fun onClickNok(){ + findNavController().navigate(R.id.action_loginFragment_to_nokIdentityFragment) + } + fun onClickPatient(){ + findNavController().navigate(R.id.action_loginFragment_to_patientFragment) + } + + } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/LoginViewModel.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/LoginViewModel.kt index 6845edf6..d888ba32 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/LoginViewModel.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/LoginViewModel.kt @@ -1,110 +1,110 @@ -package kr.ac.tukorea.whereareu.presentation.login - -import android.util.Log -import androidx.lifecycle.LiveData -import androidx.lifecycle.MutableLiveData -import androidx.lifecycle.ViewModel -import androidx.lifecycle.viewModelScope -import dagger.hilt.android.lifecycle.HiltViewModel -import kotlinx.coroutines.Dispatchers -import kotlinx.coroutines.flow.MutableSharedFlow -import kotlinx.coroutines.flow.MutableStateFlow -import kotlinx.coroutines.flow.asSharedFlow -import kotlinx.coroutines.flow.asStateFlow -import kotlinx.coroutines.launch -import kr.ac.tukorea.whereareu.data.model.DementiaKeyRequest -import kr.ac.tukorea.whereareu.domain.login.NokInfo -import kr.ac.tukorea.whereareu.data.model.login.request.DementiaIdentityRequest -import kr.ac.tukorea.whereareu.data.model.login.request.NokIdentityRequest -import kr.ac.tukorea.whereareu.data.model.login.request.UserLoginRequest -import kr.ac.tukorea.whereareu.data.model.login.response.NokIdentityResponse -import kr.ac.tukorea.whereareu.data.model.setting.StateResponse -import kr.ac.tukorea.whereareu.data.repository.login.LoginRepositoryImpl -import kr.ac.tukorea.whereareu.util.network.onError -import kr.ac.tukorea.whereareu.util.network.onException -import kr.ac.tukorea.whereareu.util.network.onFail -import kr.ac.tukorea.whereareu.util.network.onSuccess -import java.lang.Thread.State -import javax.inject.Inject - -@HiltViewModel -class LoginViewModel @Inject constructor( - private val repository: LoginRepositoryImpl -) : ViewModel() { - - private val _dementiaKeyFlow = MutableSharedFlow(replay = 1) - val dementiaKeyFlow = _dementiaKeyFlow.asSharedFlow() - - private val _navigateToNokMainEvent = MutableSharedFlow() - val navigateToNokMainEvent = _navigateToNokMainEvent.asSharedFlow() - - private val _navigateToDementiaMainEvent = MutableSharedFlow() - val navigateToDementiaMainEvent = _navigateToDementiaMainEvent.asSharedFlow() - - private val _isOnBackPressedAtDementiaOtp = MutableStateFlow(false) - val isOnBackPressedAtDementiaOtp = _isOnBackPressedAtDementiaOtp.asStateFlow() - - private val _userLoginSuccess = MutableSharedFlow() - val userLoginSuccess = _userLoginSuccess.asSharedFlow() - - private val _toastEvent = MutableSharedFlow() - val toastEvent = _toastEvent.asSharedFlow() - - fun onBackPressedAtDementiaOtp(isPressed: Boolean){ - viewModelScope.launch { - _isOnBackPressedAtDementiaOtp.emit(isPressed) - } - } - - fun sendNokIdentity(request: NokIdentityRequest) { - viewModelScope.launch(Dispatchers.IO) { - repository.sendNokIdentity(request).onSuccess { - _navigateToNokMainEvent.emit(it) - }.onError { - Log.d("error", it.toString()) - }.onException { - Log.d("exception", it.toString()) - }.onFail { - _toastEvent.emit("올바른 인증번호를 입력해주세요.") - } - } - } - - fun sendDementiaIdentity(request: DementiaIdentityRequest) { - viewModelScope.launch(Dispatchers.IO) { - repository.sendDementiaIdentity(request).onSuccess { - _dementiaKeyFlow.emit(it.dementiaKey) - } - } - } - - fun checkConnected(request: DementiaKeyRequest) { - viewModelScope.launch(Dispatchers.IO) { - repository.checkInterConnected(request).onSuccess { - _navigateToDementiaMainEvent.emit(NokInfo(it.nokInfoRecord.nokKey, it.nokInfoRecord.nokName, it.nokInfoRecord.nokPhoneNumber)) - Log.d("되나", it.toString()) - }.onError { - Log.d("send demenita", it.toString()) - }.onException { - Log.d("excetion", it.toString()) - }.onFail { - _toastEvent.emit("보호자의 연결 상태를 확인해주세요.") - } - } - } - - fun sendUserLogin(request: UserLoginRequest) { - viewModelScope.launch(Dispatchers.IO) { - repository.sendUserLogin(request).onSuccess { - _userLoginSuccess.emit(true) - }.onError { - _userLoginSuccess.emit(false) - }.onException { - _userLoginSuccess.emit(false) - }.onFail { - _userLoginSuccess.emit(false) - } - } - } - +package kr.ac.tukorea.whereareu.presentation.login + +import android.util.Log +import androidx.lifecycle.LiveData +import androidx.lifecycle.MutableLiveData +import androidx.lifecycle.ViewModel +import androidx.lifecycle.viewModelScope +import dagger.hilt.android.lifecycle.HiltViewModel +import kotlinx.coroutines.Dispatchers +import kotlinx.coroutines.flow.MutableSharedFlow +import kotlinx.coroutines.flow.MutableStateFlow +import kotlinx.coroutines.flow.asSharedFlow +import kotlinx.coroutines.flow.asStateFlow +import kotlinx.coroutines.launch +import kr.ac.tukorea.whereareu.data.model.DementiaKeyRequest +import kr.ac.tukorea.whereareu.domain.login.NokInfo +import kr.ac.tukorea.whereareu.data.model.login.request.DementiaIdentityRequest +import kr.ac.tukorea.whereareu.data.model.login.request.NokIdentityRequest +import kr.ac.tukorea.whereareu.data.model.login.request.UserLoginRequest +import kr.ac.tukorea.whereareu.data.model.login.response.NokIdentityResponse +import kr.ac.tukorea.whereareu.data.model.setting.StateResponse +import kr.ac.tukorea.whereareu.data.repository.login.LoginRepositoryImpl +import kr.ac.tukorea.whereareu.util.network.onError +import kr.ac.tukorea.whereareu.util.network.onException +import kr.ac.tukorea.whereareu.util.network.onFail +import kr.ac.tukorea.whereareu.util.network.onSuccess +import java.lang.Thread.State +import javax.inject.Inject + +@HiltViewModel +class LoginViewModel @Inject constructor( + private val repository: LoginRepositoryImpl +) : ViewModel() { + + private val _dementiaKeyFlow = MutableSharedFlow(replay = 1) + val dementiaKeyFlow = _dementiaKeyFlow.asSharedFlow() + + private val _navigateToNokMainEvent = MutableSharedFlow() + val navigateToNokMainEvent = _navigateToNokMainEvent.asSharedFlow() + + private val _navigateToDementiaMainEvent = MutableSharedFlow() + val navigateToDementiaMainEvent = _navigateToDementiaMainEvent.asSharedFlow() + + private val _isOnBackPressedAtDementiaOtp = MutableStateFlow(false) + val isOnBackPressedAtDementiaOtp = _isOnBackPressedAtDementiaOtp.asStateFlow() + + private val _userLoginSuccess = MutableSharedFlow() + val userLoginSuccess = _userLoginSuccess.asSharedFlow() + + private val _toastEvent = MutableSharedFlow() + val toastEvent = _toastEvent.asSharedFlow() + + fun onBackPressedAtDementiaOtp(isPressed: Boolean){ + viewModelScope.launch { + _isOnBackPressedAtDementiaOtp.emit(isPressed) + } + } + + fun sendNokIdentity(request: NokIdentityRequest) { + viewModelScope.launch(Dispatchers.IO) { + repository.sendNokIdentity(request).onSuccess { + _navigateToNokMainEvent.emit(it) + }.onError { + Log.d("error", it.toString()) + }.onException { + Log.d("exception", it.toString()) + }.onFail { + _toastEvent.emit("올바른 인증번호를 입력해주세요.") + } + } + } + + fun sendDementiaIdentity(request: DementiaIdentityRequest) { + viewModelScope.launch(Dispatchers.IO) { + repository.sendDementiaIdentity(request).onSuccess { + _dementiaKeyFlow.emit(it.dementiaKey) + } + } + } + + fun checkConnected(request: DementiaKeyRequest) { + viewModelScope.launch(Dispatchers.IO) { + repository.checkInterConnected(request).onSuccess { + _navigateToDementiaMainEvent.emit(NokInfo(it.nokInfoRecord.nokKey, it.nokInfoRecord.nokName, it.nokInfoRecord.nokPhoneNumber)) + Log.d("되나", it.toString()) + }.onError { + Log.d("send demenita", it.toString()) + }.onException { + Log.d("excetion", it.toString()) + }.onFail { + _toastEvent.emit("보호자의 연결 상태를 확인해주세요.") + } + } + } + + fun sendUserLogin(request: UserLoginRequest) { + viewModelScope.launch(Dispatchers.IO) { + repository.sendUserLogin(request).onSuccess { + _userLoginSuccess.emit(true) + }.onError { + _userLoginSuccess.emit(false) + }.onException { + _userLoginSuccess.emit(false) + }.onFail { + _userLoginSuccess.emit(false) + } + } + } + } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/SplashActivity.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/SplashActivity.kt index 4cdbc403..f4dd0fd9 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/SplashActivity.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/SplashActivity.kt @@ -1,60 +1,60 @@ -package kr.ac.tukorea.whereareu.presentation.login - -import android.content.Intent -import android.content.SharedPreferences -import android.os.Bundle -import android.os.Handler -import android.os.Looper -import android.view.WindowManager -import androidx.activity.enableEdgeToEdge -import androidx.activity.viewModels -import androidx.appcompat.app.AppCompatActivity -import androidx.lifecycle.ViewModelProvider -import androidx.lifecycle.lifecycleScope -import dagger.hilt.android.AndroidEntryPoint -import kotlinx.coroutines.delay -import kotlinx.coroutines.launch -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.data.model.login.request.UserLoginRequest -import kr.ac.tukorea.whereareu.presentation.dementia.DementiaMainActivity -import kr.ac.tukorea.whereareu.presentation.nok.NokMainActivity -import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted - -@AndroidEntryPoint -class SplashActivity : AppCompatActivity() { - - private val viewModel: LoginViewModel by viewModels() - override fun onCreate(savedInstanceState: Bundle?) { - - val spf: SharedPreferences = getSharedPreferences("User", MODE_PRIVATE) - val key = spf.getString("key", "") as String - val isDementia = spf.getBoolean("isDementia", true) - - super.onCreate(savedInstanceState) - setContentView(R.layout.activity_splash) - enableEdgeToEdge() - - if (isDementia) { - viewModel.sendUserLogin(UserLoginRequest(key, "1")) - } else { - viewModel.sendUserLogin(UserLoginRequest(key, "0")) - } - - repeatOnStarted { - viewModel.userLoginSuccess.collect { success -> - val intent = if (success) { - if (isDementia) { - Intent(this@SplashActivity, DementiaMainActivity::class.java) - } else { - Intent(this@SplashActivity, NokMainActivity::class.java) - } - } else { - Intent(this@SplashActivity, LoginActivity::class.java) - } - delay(1000) - intent.flags = Intent.FLAG_ACTIVITY_NEW_TASK or Intent.FLAG_ACTIVITY_CLEAR_TASK - startActivity(intent) - } - } - } +package kr.ac.tukorea.whereareu.presentation.login + +import android.content.Intent +import android.content.SharedPreferences +import android.os.Bundle +import android.os.Handler +import android.os.Looper +import android.view.WindowManager +import androidx.activity.enableEdgeToEdge +import androidx.activity.viewModels +import androidx.appcompat.app.AppCompatActivity +import androidx.lifecycle.ViewModelProvider +import androidx.lifecycle.lifecycleScope +import dagger.hilt.android.AndroidEntryPoint +import kotlinx.coroutines.delay +import kotlinx.coroutines.launch +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.data.model.login.request.UserLoginRequest +import kr.ac.tukorea.whereareu.presentation.dementia.DementiaMainActivity +import kr.ac.tukorea.whereareu.presentation.nok.NokMainActivity +import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted + +@AndroidEntryPoint +class SplashActivity : AppCompatActivity() { + + private val viewModel: LoginViewModel by viewModels() + override fun onCreate(savedInstanceState: Bundle?) { + + val spf: SharedPreferences = getSharedPreferences("User", MODE_PRIVATE) + val key = spf.getString("key", "") as String + val isDementia = spf.getBoolean("isDementia", true) + + super.onCreate(savedInstanceState) + setContentView(R.layout.activity_splash) + enableEdgeToEdge() + + if (isDementia) { + viewModel.sendUserLogin(UserLoginRequest(key, "1")) + } else { + viewModel.sendUserLogin(UserLoginRequest(key, "0")) + } + + repeatOnStarted { + viewModel.userLoginSuccess.collect { success -> + val intent = if (success) { + if (isDementia) { + Intent(this@SplashActivity, DementiaMainActivity::class.java) + } else { + Intent(this@SplashActivity, NokMainActivity::class.java) + } + } else { + Intent(this@SplashActivity, LoginActivity::class.java) + } + delay(1000) + intent.flags = Intent.FLAG_ACTIVITY_NEW_TASK or Intent.FLAG_ACTIVITY_CLEAR_TASK + startActivity(intent) + } + } + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/dementia/DementiaAuthorityPageFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/dementia/DementiaAuthorityPageFragment.kt index 76cdcdcb..360784c9 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/dementia/DementiaAuthorityPageFragment.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/dementia/DementiaAuthorityPageFragment.kt @@ -1,166 +1,166 @@ -package kr.ac.tukorea.whereareu.presentation.login.dementia - -import android.content.Intent -import android.content.pm.PackageManager -import android.os.Build -import android.util.Log -import androidx.activity.result.contract.ActivityResultContracts -import androidx.annotation.RequiresApi -import androidx.core.app.ActivityCompat -import androidx.core.content.ContextCompat -import androidx.navigation.fragment.findNavController -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.databinding.FragmentDementiaAuthorityPageBinding -import kr.ac.tukorea.whereareu.presentation.base.BaseFragment -import kr.ac.tukorea.whereareu.presentation.dementia.DementiaMainActivity - -class DementiaAuthorityPageFragment : - BaseFragment(R.layout.fragment_dementia_authority_page) { - private val BACKGROUND_LOCATION_PERMISSION_REQUEST_CODE = 456 - private val LOCATION_PERMISSION_REQUEST_CODE = 123 - override fun initObserver() { - - } - - override fun initView() { - if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.TIRAMISU) { - checkNotificationPermission() - } else { - checkAndRequestLocationPermissions() - } - goMainActivity() - } - - fun onClickBackBtn() { - findNavController().popBackStack() - } - - private fun goMainActivity() { - binding.finishBtn.setOnClickListener { - val intent = Intent(requireContext(), DementiaMainActivity::class.java) - intent.flags = - Intent.FLAG_ACTIVITY_NEW_TASK or Intent.FLAG_ACTIVITY_CLEAR_TASK - startActivity(intent) - - } - } - - private fun checkBackGroundLocationPermission(): Boolean { - return if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.Q) { - (ContextCompat.checkSelfPermission( - requireContext(), - android.Manifest.permission.ACCESS_BACKGROUND_LOCATION - ) == PackageManager.PERMISSION_GRANTED) - } else { - return true - } - - } - - private fun requestBackGroundLocationPermission() { - if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.Q) { - ActivityCompat.requestPermissions( - requireActivity(), - arrayOf(android.Manifest.permission.ACCESS_BACKGROUND_LOCATION), - BACKGROUND_LOCATION_PERMISSION_REQUEST_CODE - ) - } - } - - override fun onRequestPermissionsResult( - requestCode: Int, - permissions: Array, - grantResults: IntArray - ) { - super.onRequestPermissionsResult(requestCode, permissions, grantResults) - - when (requestCode) { - BACKGROUND_LOCATION_PERMISSION_REQUEST_CODE -> { - if (grantResults.isNotEmpty() && - grantResults[0] == PackageManager.PERMISSION_GRANTED - ) { - //startLocationService() - } else { - // Handle the case where the user denies the foreground service permission - } - } - - LOCATION_PERMISSION_REQUEST_CODE -> { - if (grantResults.isNotEmpty() && - grantResults[0] == PackageManager.PERMISSION_GRANTED && - grantResults[1] == PackageManager.PERMISSION_GRANTED - ) { - checkAndRequestLocationPermissions() - } else { - // Handle the case where the user denies the location permission - } - } - } - } - - private fun checkAndRequestLocationPermissions() { - if (checkLocationPermission()) { - Log.d("checkLocationPermission", "true") - if (checkBackGroundLocationPermission()) { - //startLocationService() - Log.d("checkBackGroundLocationPermission", "true") - } else { - Log.d("checkBackGroundLocationPermission", "false") - requestBackGroundLocationPermission() - } - - } else { - requestLocationPermission() - } - } - - private fun checkLocationPermission(): Boolean { - return (ContextCompat.checkSelfPermission( - requireContext(), - android.Manifest.permission.ACCESS_FINE_LOCATION - ) == PackageManager.PERMISSION_GRANTED && - ContextCompat.checkSelfPermission( - requireContext(), - android.Manifest.permission.ACCESS_COARSE_LOCATION - ) == PackageManager.PERMISSION_GRANTED) - } - - private fun requestLocationPermission() { - ActivityCompat.requestPermissions( - requireActivity(), - arrayOf( - android.Manifest.permission.ACCESS_FINE_LOCATION, - android.Manifest.permission.ACCESS_COARSE_LOCATION - ), - LOCATION_PERMISSION_REQUEST_CODE - ) - } - - @RequiresApi(Build.VERSION_CODES.TIRAMISU) - fun checkNotificationPermission() { - val permission = android.Manifest.permission.POST_NOTIFICATIONS - when { - ContextCompat.checkSelfPermission( - requireContext(), - permission - ) == PackageManager.PERMISSION_GRANTED -> { - // make your action here - checkAndRequestLocationPermissions() - } - - shouldShowRequestPermissionRationale(permission) -> { - // permission denied permanently - } - - else -> { - requestNotificationPermission.launch(permission) - } - } - } - - private val requestNotificationPermission = - registerForActivityResult(ActivityResultContracts.RequestPermission()) { isGranted -> - if (isGranted) // make your action here - checkAndRequestLocationPermissions() - } +package kr.ac.tukorea.whereareu.presentation.login.dementia + +import android.content.Intent +import android.content.pm.PackageManager +import android.os.Build +import android.util.Log +import androidx.activity.result.contract.ActivityResultContracts +import androidx.annotation.RequiresApi +import androidx.core.app.ActivityCompat +import androidx.core.content.ContextCompat +import androidx.navigation.fragment.findNavController +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.databinding.FragmentDementiaAuthorityPageBinding +import kr.ac.tukorea.whereareu.presentation.base.BaseFragment +import kr.ac.tukorea.whereareu.presentation.dementia.DementiaMainActivity + +class DementiaAuthorityPageFragment : + BaseFragment(R.layout.fragment_dementia_authority_page) { + private val BACKGROUND_LOCATION_PERMISSION_REQUEST_CODE = 456 + private val LOCATION_PERMISSION_REQUEST_CODE = 123 + override fun initObserver() { + + } + + override fun initView() { + if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.TIRAMISU) { + checkNotificationPermission() + } else { + checkAndRequestLocationPermissions() + } + goMainActivity() + } + + fun onClickBackBtn() { + findNavController().popBackStack() + } + + private fun goMainActivity() { + binding.finishBtn.setOnClickListener { + val intent = Intent(requireContext(), DementiaMainActivity::class.java) + intent.flags = + Intent.FLAG_ACTIVITY_NEW_TASK or Intent.FLAG_ACTIVITY_CLEAR_TASK + startActivity(intent) + + } + } + + private fun checkBackGroundLocationPermission(): Boolean { + return if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.Q) { + (ContextCompat.checkSelfPermission( + requireContext(), + android.Manifest.permission.ACCESS_BACKGROUND_LOCATION + ) == PackageManager.PERMISSION_GRANTED) + } else { + return true + } + + } + + private fun requestBackGroundLocationPermission() { + if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.Q) { + ActivityCompat.requestPermissions( + requireActivity(), + arrayOf(android.Manifest.permission.ACCESS_BACKGROUND_LOCATION), + BACKGROUND_LOCATION_PERMISSION_REQUEST_CODE + ) + } + } + + override fun onRequestPermissionsResult( + requestCode: Int, + permissions: Array, + grantResults: IntArray + ) { + super.onRequestPermissionsResult(requestCode, permissions, grantResults) + + when (requestCode) { + BACKGROUND_LOCATION_PERMISSION_REQUEST_CODE -> { + if (grantResults.isNotEmpty() && + grantResults[0] == PackageManager.PERMISSION_GRANTED + ) { + //startLocationService() + } else { + // Handle the case where the user denies the foreground service permission + } + } + + LOCATION_PERMISSION_REQUEST_CODE -> { + if (grantResults.isNotEmpty() && + grantResults[0] == PackageManager.PERMISSION_GRANTED && + grantResults[1] == PackageManager.PERMISSION_GRANTED + ) { + checkAndRequestLocationPermissions() + } else { + // Handle the case where the user denies the location permission + } + } + } + } + + private fun checkAndRequestLocationPermissions() { + if (checkLocationPermission()) { + Log.d("checkLocationPermission", "true") + if (checkBackGroundLocationPermission()) { + //startLocationService() + Log.d("checkBackGroundLocationPermission", "true") + } else { + Log.d("checkBackGroundLocationPermission", "false") + requestBackGroundLocationPermission() + } + + } else { + requestLocationPermission() + } + } + + private fun checkLocationPermission(): Boolean { + return (ContextCompat.checkSelfPermission( + requireContext(), + android.Manifest.permission.ACCESS_FINE_LOCATION + ) == PackageManager.PERMISSION_GRANTED && + ContextCompat.checkSelfPermission( + requireContext(), + android.Manifest.permission.ACCESS_COARSE_LOCATION + ) == PackageManager.PERMISSION_GRANTED) + } + + private fun requestLocationPermission() { + ActivityCompat.requestPermissions( + requireActivity(), + arrayOf( + android.Manifest.permission.ACCESS_FINE_LOCATION, + android.Manifest.permission.ACCESS_COARSE_LOCATION + ), + LOCATION_PERMISSION_REQUEST_CODE + ) + } + + @RequiresApi(Build.VERSION_CODES.TIRAMISU) + fun checkNotificationPermission() { + val permission = android.Manifest.permission.POST_NOTIFICATIONS + when { + ContextCompat.checkSelfPermission( + requireContext(), + permission + ) == PackageManager.PERMISSION_GRANTED -> { + // make your action here + checkAndRequestLocationPermissions() + } + + shouldShowRequestPermissionRationale(permission) -> { + // permission denied permanently + } + + else -> { + requestNotificationPermission.launch(permission) + } + } + } + + private val requestNotificationPermission = + registerForActivityResult(ActivityResultContracts.RequestPermission()) { isGranted -> + if (isGranted) // make your action here + checkAndRequestLocationPermissions() + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/dementia/PatientIdentifyFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/dementia/PatientIdentifyFragment.kt index dca8bca4..2be0857d 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/dementia/PatientIdentifyFragment.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/dementia/PatientIdentifyFragment.kt @@ -1,109 +1,109 @@ -package kr.ac.tukorea.whereareu.presentation.login.dementia - -import android.content.Context.MODE_PRIVATE -import android.telephony.PhoneNumberFormattingTextWatcher -import android.view.inputmethod.EditorInfo -import androidx.core.content.edit -import androidx.fragment.app.activityViewModels -import androidx.navigation.fragment.findNavController -import dagger.hilt.android.AndroidEntryPoint -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.data.model.login.request.DementiaIdentityRequest -import kr.ac.tukorea.whereareu.databinding.FragmentPatientIdentifyBinding -import kr.ac.tukorea.whereareu.presentation.base.BaseFragment -import kr.ac.tukorea.whereareu.presentation.login.LoginViewModel -import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.hideKeyboard -import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.setOnEditorActionListener -import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.showKeyboard -import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted - -@AndroidEntryPoint -class PatientIdentifyFragment : - BaseFragment(R.layout.fragment_patient_identify) { - private val viewModel: LoginViewModel by activityViewModels() - private val navigator by lazy { - findNavController() - } - override fun initObserver() { - binding.viewModel = viewModel - - repeatOnStarted { - //OtpFragment에서 뒤로가기 버튼을 눌렀는지 여부에 따른 분기 - viewModel.isOnBackPressedAtDementiaOtp.collect{ isOnBackPressedAtDementiaOtp -> - if (!isOnBackPressedAtDementiaOtp){ - viewModel.dementiaKeyFlow.collect {dementiaKey -> - - //보호대상자 정보 저장 - val spf = requireActivity().getSharedPreferences("User", MODE_PRIVATE) - spf.edit { - putString("name", binding.nameEt.text.toString().trim()) - putString("phone", binding.phoneNumberEt.text.toString().trim()) - putString("key", dementiaKey) - putBoolean("isDementia", true) - commit() - } - - //currentDestination 오류를 막기 위한 예외처리 - if (navigator.currentDestination?.id == R.id.patientIdentifyFragment) { - navigator.navigate(R.id.action_patientIdentifyFragment_to_patientOtpFragment) - } - } - } - } - } - } - - override fun initView() { - binding.view = this - binding.phoneNumberEt.addTextChangedListener(PhoneNumberFormattingTextWatcher()) - - with(binding) { - nameEt.setOnEditorActionListener(EditorInfo.IME_ACTION_NEXT) { - if (validName()) { - nameTextInputLayout.error = null - phoneNumberEt.showKeyboard() - } else { - nameTextInputLayout.error = "최소 2자의 한글을 입력해주세요" - } - } - phoneNumberEt.setOnEditorActionListener(EditorInfo.IME_ACTION_NEXT) { - if (validPhone()) { - phoneNumberTextInputLayout.error = null - phoneNumberEt.hideKeyboard() - } else { - phoneNumberTextInputLayout.error = "전화번호 형식이 다릅니다.\n입력 예시) 010-1234-5678" - } - } - } - } - - fun onClickBackBtn() { - navigator.popBackStack() - } - - fun onClickInputDone() { - binding.nameTextInputLayout.error = if (!validName()) "최소 2자의 한글을 입력해주세요" else null - if (!validPhone()) { - binding.phoneNumberTextInputLayout.error = "전화번호 형식이 다릅니다.\n예시) 010-1234-5678" - return - } - - viewModel.sendDementiaIdentity( - DementiaIdentityRequest(binding.nameEt.text.toString().trim(), binding.phoneNumberEt.text.toString().trim()) - ) - - // navigate 활성화를 위한 boolean 값 업데이트 - viewModel.onBackPressedAtDementiaOtp(false) - } - - private fun validName() = !binding.nameEt.text.isNullOrBlank() - && REGEX_NAME.toRegex().matches(binding.nameEt.text!!) - - private fun validPhone() = !binding.phoneNumberEt.text.isNullOrBlank() - && REGEX_PHONE.toRegex().matches(binding.phoneNumberEt.text!!) - - companion object { - private const val REGEX_NAME = "^[가-힣]{2,}\n?" - private const val REGEX_PHONE = "^01([016789])-([0-9]{3,4})-([0-9]{4})" - } +package kr.ac.tukorea.whereareu.presentation.login.dementia + +import android.content.Context.MODE_PRIVATE +import android.telephony.PhoneNumberFormattingTextWatcher +import android.view.inputmethod.EditorInfo +import androidx.core.content.edit +import androidx.fragment.app.activityViewModels +import androidx.navigation.fragment.findNavController +import dagger.hilt.android.AndroidEntryPoint +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.data.model.login.request.DementiaIdentityRequest +import kr.ac.tukorea.whereareu.databinding.FragmentPatientIdentifyBinding +import kr.ac.tukorea.whereareu.presentation.base.BaseFragment +import kr.ac.tukorea.whereareu.presentation.login.LoginViewModel +import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.hideKeyboard +import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.setOnEditorActionListener +import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.showKeyboard +import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted + +@AndroidEntryPoint +class PatientIdentifyFragment : + BaseFragment(R.layout.fragment_patient_identify) { + private val viewModel: LoginViewModel by activityViewModels() + private val navigator by lazy { + findNavController() + } + override fun initObserver() { + binding.viewModel = viewModel + + repeatOnStarted { + //OtpFragment에서 뒤로가기 버튼을 눌렀는지 여부에 따른 분기 + viewModel.isOnBackPressedAtDementiaOtp.collect{ isOnBackPressedAtDementiaOtp -> + if (!isOnBackPressedAtDementiaOtp){ + viewModel.dementiaKeyFlow.collect {dementiaKey -> + + //보호대상자 정보 저장 + val spf = requireActivity().getSharedPreferences("User", MODE_PRIVATE) + spf.edit { + putString("name", binding.nameEt.text.toString().trim()) + putString("phone", binding.phoneNumberEt.text.toString().trim()) + putString("key", dementiaKey) + putBoolean("isDementia", true) + commit() + } + + //currentDestination 오류를 막기 위한 예외처리 + if (navigator.currentDestination?.id == R.id.patientIdentifyFragment) { + navigator.navigate(R.id.action_patientIdentifyFragment_to_patientOtpFragment) + } + } + } + } + } + } + + override fun initView() { + binding.view = this + binding.phoneNumberEt.addTextChangedListener(PhoneNumberFormattingTextWatcher()) + + with(binding) { + nameEt.setOnEditorActionListener(EditorInfo.IME_ACTION_NEXT) { + if (validName()) { + nameTextInputLayout.error = null + phoneNumberEt.showKeyboard() + } else { + nameTextInputLayout.error = "최소 2자의 한글을 입력해주세요" + } + } + phoneNumberEt.setOnEditorActionListener(EditorInfo.IME_ACTION_NEXT) { + if (validPhone()) { + phoneNumberTextInputLayout.error = null + phoneNumberEt.hideKeyboard() + } else { + phoneNumberTextInputLayout.error = "전화번호 형식이 다릅니다.\n입력 예시) 010-1234-5678" + } + } + } + } + + fun onClickBackBtn() { + navigator.popBackStack() + } + + fun onClickInputDone() { + binding.nameTextInputLayout.error = if (!validName()) "최소 2자의 한글을 입력해주세요" else null + if (!validPhone()) { + binding.phoneNumberTextInputLayout.error = "전화번호 형식이 다릅니다.\n예시) 010-1234-5678" + return + } + + viewModel.sendDementiaIdentity( + DementiaIdentityRequest(binding.nameEt.text.toString().trim(), binding.phoneNumberEt.text.toString().trim()) + ) + + // navigate 활성화를 위한 boolean 값 업데이트 + viewModel.onBackPressedAtDementiaOtp(false) + } + + private fun validName() = !binding.nameEt.text.isNullOrBlank() + && REGEX_NAME.toRegex().matches(binding.nameEt.text!!) + + private fun validPhone() = !binding.phoneNumberEt.text.isNullOrBlank() + && REGEX_PHONE.toRegex().matches(binding.phoneNumberEt.text!!) + + companion object { + private const val REGEX_NAME = "^[가-힣]{2,}\n?" + private const val REGEX_PHONE = "^01([016789])-([0-9]{3,4})-([0-9]{4})" + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/dementia/PatientOtpFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/dementia/PatientOtpFragment.kt index ebfc4423..318c5e71 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/dementia/PatientOtpFragment.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/dementia/PatientOtpFragment.kt @@ -1,81 +1,81 @@ -package kr.ac.tukorea.whereareu.presentation.login.dementia - -import android.content.Context.MODE_PRIVATE -import androidx.activity.OnBackPressedCallback -import androidx.core.content.edit -import androidx.fragment.app.activityViewModels -import androidx.navigation.fragment.findNavController -import dagger.hilt.android.AndroidEntryPoint -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.data.model.DementiaKeyRequest -import kr.ac.tukorea.whereareu.databinding.FragmentPatientOtpBinding -import kr.ac.tukorea.whereareu.presentation.base.BaseFragment -import kr.ac.tukorea.whereareu.presentation.login.LoginViewModel -import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted -import kr.ac.tukorea.whereareu.util.extension.showToastOnView - -@AndroidEntryPoint -class PatientOtpFragment : BaseFragment(R.layout.fragment_patient_otp) { - private val viewModel: LoginViewModel by activityViewModels() - private val navigator by lazy { - findNavController() - } - // 뒤로가기 버튼 callback 커스텀 - private val callback = object : OnBackPressedCallback(true) { - override fun handleOnBackPressed() { - viewModel.onBackPressedAtDementiaOtp(true) - navigator.popBackStack() - } - } - - override fun initObserver() { - binding.viewModel = viewModel - - repeatOnStarted { - viewModel.dementiaKeyFlow.collect { - binding.displayOtpTv.text = it - } - } - - repeatOnStarted { - viewModel.navigateToDementiaMainEvent.collect { - //보호자 정보 저장 - val spf = requireActivity().getSharedPreferences("OtherUser", MODE_PRIVATE) - spf.edit { - putString("name", it.nokName) - putString("phone", it.nokPhoneNumber) - putString("key", it.nokKey) - commit() - } - if (navigator.currentDestination?.id == R.id.patientOtpFragment) { - navigator.navigate(R.id.action_patientOtpFragment_to_dementiaAuthorityPageFragment) - } - } - } - - repeatOnStarted { - viewModel.toastEvent.collect{ - requireActivity().showToastOnView(requireContext(), it, binding.finishBtn.bottom) - } - } - } - - override fun initView() { - binding.view = this - onClickBackBtn() - - // 뒤로가기 버튼 callback 등록 - requireActivity().onBackPressedDispatcher.addCallback(callback) - } - - private fun onClickBackBtn() { - binding.backBtn.setOnClickListener { - viewModel.onBackPressedAtDementiaOtp(true) - navigator.popBackStack(R.id.patientIdentifyFragment, false) - } - } - - fun onClickInputDone() { - viewModel.checkConnected(DementiaKeyRequest(binding.displayOtpTv.text.toString())) - } +package kr.ac.tukorea.whereareu.presentation.login.dementia + +import android.content.Context.MODE_PRIVATE +import androidx.activity.OnBackPressedCallback +import androidx.core.content.edit +import androidx.fragment.app.activityViewModels +import androidx.navigation.fragment.findNavController +import dagger.hilt.android.AndroidEntryPoint +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.data.model.DementiaKeyRequest +import kr.ac.tukorea.whereareu.databinding.FragmentPatientOtpBinding +import kr.ac.tukorea.whereareu.presentation.base.BaseFragment +import kr.ac.tukorea.whereareu.presentation.login.LoginViewModel +import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted +import kr.ac.tukorea.whereareu.util.extension.showToastOnView + +@AndroidEntryPoint +class PatientOtpFragment : BaseFragment(R.layout.fragment_patient_otp) { + private val viewModel: LoginViewModel by activityViewModels() + private val navigator by lazy { + findNavController() + } + // 뒤로가기 버튼 callback 커스텀 + private val callback = object : OnBackPressedCallback(true) { + override fun handleOnBackPressed() { + viewModel.onBackPressedAtDementiaOtp(true) + navigator.popBackStack() + } + } + + override fun initObserver() { + binding.viewModel = viewModel + + repeatOnStarted { + viewModel.dementiaKeyFlow.collect { + binding.displayOtpTv.text = it + } + } + + repeatOnStarted { + viewModel.navigateToDementiaMainEvent.collect { + //보호자 정보 저장 + val spf = requireActivity().getSharedPreferences("OtherUser", MODE_PRIVATE) + spf.edit { + putString("name", it.nokName) + putString("phone", it.nokPhoneNumber) + putString("key", it.nokKey) + commit() + } + if (navigator.currentDestination?.id == R.id.patientOtpFragment) { + navigator.navigate(R.id.action_patientOtpFragment_to_dementiaAuthorityPageFragment) + } + } + } + + repeatOnStarted { + viewModel.toastEvent.collect{ + requireActivity().showToastOnView(requireContext(), it, binding.finishBtn.bottom) + } + } + } + + override fun initView() { + binding.view = this + onClickBackBtn() + + // 뒤로가기 버튼 callback 등록 + requireActivity().onBackPressedDispatcher.addCallback(callback) + } + + private fun onClickBackBtn() { + binding.backBtn.setOnClickListener { + viewModel.onBackPressedAtDementiaOtp(true) + navigator.popBackStack(R.id.patientIdentifyFragment, false) + } + } + + fun onClickInputDone() { + viewModel.checkConnected(DementiaKeyRequest(binding.displayOtpTv.text.toString())) + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/nok/NokAuthorityPageFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/nok/NokAuthorityPageFragment.kt index 8ec54c0c..fcfdd3dd 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/nok/NokAuthorityPageFragment.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/nok/NokAuthorityPageFragment.kt @@ -1,124 +1,124 @@ -package kr.ac.tukorea.whereareu.presentation.login.nok - -import android.content.Intent -import android.content.pm.PackageManager -import android.os.Build -import android.util.Log -import androidx.activity.result.contract.ActivityResultContracts -import androidx.annotation.RequiresApi -import androidx.core.app.ActivityCompat -import androidx.core.content.ContextCompat -import androidx.navigation.fragment.findNavController -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.databinding.FragmentNokAuthorityPageBinding -import kr.ac.tukorea.whereareu.presentation.base.BaseFragment -import kr.ac.tukorea.whereareu.presentation.nok.NokMainActivity - -class NokAuthorityPageFragment : - BaseFragment(R.layout.fragment_nok_authority_page) { - private val LOCATION_PERMISSION_REQUEST_CODE = 123 - override fun initObserver() { - - } - - override fun initView() { - if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.TIRAMISU) { - checkNotificationPermission() - } else { - checkAndRequestLocationPermissions() - } - goMainActivity() - } - - fun onClickBackBtn() { - findNavController().popBackStack() - } - - private fun goMainActivity() { - binding.finishBtn.setOnClickListener { - val intent = Intent(requireContext(), NokMainActivity::class.java) - intent.flags = - Intent.FLAG_ACTIVITY_NEW_TASK or Intent.FLAG_ACTIVITY_CLEAR_TASK - startActivity(intent) - } - } - - override fun onRequestPermissionsResult( - requestCode: Int, - permissions: Array, - grantResults: IntArray - ) { - super.onRequestPermissionsResult(requestCode, permissions, grantResults) - - when (requestCode) { - LOCATION_PERMISSION_REQUEST_CODE -> { - if (grantResults.isNotEmpty() && - grantResults[0] == PackageManager.PERMISSION_GRANTED && - grantResults[1] == PackageManager.PERMISSION_GRANTED - ) { - checkAndRequestLocationPermissions() - } else { - // Handle the case where the user denies the location permission - } - } - } - } - - private fun checkAndRequestLocationPermissions() { - if (checkLocationPermission()) { - Log.d("checkLocationPermission", "true") - } else { - requestLocationPermission() - } - } - - private fun checkLocationPermission(): Boolean { - return (ContextCompat.checkSelfPermission( - requireContext(), - android.Manifest.permission.ACCESS_FINE_LOCATION - ) == PackageManager.PERMISSION_GRANTED && - ContextCompat.checkSelfPermission( - requireContext(), - android.Manifest.permission.ACCESS_COARSE_LOCATION - ) == PackageManager.PERMISSION_GRANTED) - } - - private fun requestLocationPermission() { - ActivityCompat.requestPermissions( - requireActivity(), - arrayOf( - android.Manifest.permission.ACCESS_FINE_LOCATION, - android.Manifest.permission.ACCESS_COARSE_LOCATION - ), - LOCATION_PERMISSION_REQUEST_CODE - ) - } - - @RequiresApi(Build.VERSION_CODES.TIRAMISU) - fun checkNotificationPermission() { - val permission = android.Manifest.permission.POST_NOTIFICATIONS - when { - ContextCompat.checkSelfPermission( - requireContext(), - permission - ) == PackageManager.PERMISSION_GRANTED -> { - // make your action here - checkAndRequestLocationPermissions() - } - - shouldShowRequestPermissionRationale(permission) -> { - // permission denied permanently - } - - else -> { - requestNotificationPermission.launch(permission) - } - } - } - - private val requestNotificationPermission = - registerForActivityResult(ActivityResultContracts.RequestPermission()) { isGranted -> - if (isGranted) // make your action here - checkAndRequestLocationPermissions() - } +package kr.ac.tukorea.whereareu.presentation.login.nok + +import android.content.Intent +import android.content.pm.PackageManager +import android.os.Build +import android.util.Log +import androidx.activity.result.contract.ActivityResultContracts +import androidx.annotation.RequiresApi +import androidx.core.app.ActivityCompat +import androidx.core.content.ContextCompat +import androidx.navigation.fragment.findNavController +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.databinding.FragmentNokAuthorityPageBinding +import kr.ac.tukorea.whereareu.presentation.base.BaseFragment +import kr.ac.tukorea.whereareu.presentation.nok.NokMainActivity + +class NokAuthorityPageFragment : + BaseFragment(R.layout.fragment_nok_authority_page) { + private val LOCATION_PERMISSION_REQUEST_CODE = 123 + override fun initObserver() { + + } + + override fun initView() { + if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.TIRAMISU) { + checkNotificationPermission() + } else { + checkAndRequestLocationPermissions() + } + goMainActivity() + } + + fun onClickBackBtn() { + findNavController().popBackStack() + } + + private fun goMainActivity() { + binding.finishBtn.setOnClickListener { + val intent = Intent(requireContext(), NokMainActivity::class.java) + intent.flags = + Intent.FLAG_ACTIVITY_NEW_TASK or Intent.FLAG_ACTIVITY_CLEAR_TASK + startActivity(intent) + } + } + + override fun onRequestPermissionsResult( + requestCode: Int, + permissions: Array, + grantResults: IntArray + ) { + super.onRequestPermissionsResult(requestCode, permissions, grantResults) + + when (requestCode) { + LOCATION_PERMISSION_REQUEST_CODE -> { + if (grantResults.isNotEmpty() && + grantResults[0] == PackageManager.PERMISSION_GRANTED && + grantResults[1] == PackageManager.PERMISSION_GRANTED + ) { + checkAndRequestLocationPermissions() + } else { + // Handle the case where the user denies the location permission + } + } + } + } + + private fun checkAndRequestLocationPermissions() { + if (checkLocationPermission()) { + Log.d("checkLocationPermission", "true") + } else { + requestLocationPermission() + } + } + + private fun checkLocationPermission(): Boolean { + return (ContextCompat.checkSelfPermission( + requireContext(), + android.Manifest.permission.ACCESS_FINE_LOCATION + ) == PackageManager.PERMISSION_GRANTED && + ContextCompat.checkSelfPermission( + requireContext(), + android.Manifest.permission.ACCESS_COARSE_LOCATION + ) == PackageManager.PERMISSION_GRANTED) + } + + private fun requestLocationPermission() { + ActivityCompat.requestPermissions( + requireActivity(), + arrayOf( + android.Manifest.permission.ACCESS_FINE_LOCATION, + android.Manifest.permission.ACCESS_COARSE_LOCATION + ), + LOCATION_PERMISSION_REQUEST_CODE + ) + } + + @RequiresApi(Build.VERSION_CODES.TIRAMISU) + fun checkNotificationPermission() { + val permission = android.Manifest.permission.POST_NOTIFICATIONS + when { + ContextCompat.checkSelfPermission( + requireContext(), + permission + ) == PackageManager.PERMISSION_GRANTED -> { + // make your action here + checkAndRequestLocationPermissions() + } + + shouldShowRequestPermissionRationale(permission) -> { + // permission denied permanently + } + + else -> { + requestNotificationPermission.launch(permission) + } + } + } + + private val requestNotificationPermission = + registerForActivityResult(ActivityResultContracts.RequestPermission()) { isGranted -> + if (isGranted) // make your action here + checkAndRequestLocationPermissions() + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/nok/NokIdentityFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/nok/NokIdentityFragment.kt index 85686a8c..3c352f05 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/nok/NokIdentityFragment.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/nok/NokIdentityFragment.kt @@ -1,79 +1,79 @@ -package kr.ac.tukorea.whereareu.presentation.login.nok - -import android.telephony.PhoneNumberFormattingTextWatcher -import android.view.inputmethod.EditorInfo -import androidx.fragment.app.activityViewModels -import androidx.navigation.fragment.findNavController -import dagger.hilt.android.AndroidEntryPoint -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.databinding.FragmentNokIdentityBinding -import kr.ac.tukorea.whereareu.presentation.base.BaseFragment -import kr.ac.tukorea.whereareu.presentation.login.LoginViewModel -import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.hideKeyboard -import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.setOnEditorActionListener -import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.showKeyboard - -class NokIdentityFragment : - BaseFragment(R.layout.fragment_nok_identity) { - private val viewModel: LoginViewModel by activityViewModels() - - override fun initObserver() { - binding.viewModel = viewModel - } - - override fun initView() { - binding.view = this - binding.phoneNumberEt.addTextChangedListener(PhoneNumberFormattingTextWatcher()) - with(binding) { - nameEt.setOnEditorActionListener(EditorInfo.IME_ACTION_NEXT){ - if(validName()){ - nameTextInputLayout.error = null - phoneNumberEt.showKeyboard() - } - else{ - nameTextInputLayout.error = "최소 2자의 한글을 입력해주세요" - } - } - phoneNumberEt.setOnEditorActionListener(EditorInfo.IME_ACTION_DONE){ - if(validPhone()){ - phoneNumberTextInputLayout.error = null - phoneNumberEt.hideKeyboard() - } else { - phoneNumberTextInputLayout.error = "전화번호 형식이 다릅니다.\n예시) 010-1234-5678" - } - } - } - } - - fun onClickBackBtn() { - findNavController().popBackStack() - } - - fun onClickInputDone() { - binding.nameTextInputLayout.error = if(!validName()) "최소 2자의 한글을 입력해주세요" else null - - if (!validPhone()){ - binding.phoneNumberTextInputLayout.error = "전화번호 형식이 다릅니다.\n예시) 010-1234-5678" - return - } - - val name = binding.nameEt.text.toString().trim() - val phoneNumber = binding.phoneNumberEt.text.toString().trim() - - val action = NokIdentityFragmentDirections.actionNokIdentityFragmentToNokOtpFragment( - name, phoneNumber) - findNavController().navigate(action) - } - - private fun validName() = !binding.nameEt.text.isNullOrBlank() - && REGEX_NAME.toRegex().matches(binding.nameEt.text!!) - - - private fun validPhone() = !binding.phoneNumberEt.text.isNullOrBlank() - && REGEX_PHONE.toRegex().matches(binding.phoneNumberEt.text!!) - - companion object { - private const val REGEX_NAME = "^[가-힣]{2,}\n?" - private const val REGEX_PHONE = "^01([016789])-([0-9]{3,4})-([0-9]{4})" - } +package kr.ac.tukorea.whereareu.presentation.login.nok + +import android.telephony.PhoneNumberFormattingTextWatcher +import android.view.inputmethod.EditorInfo +import androidx.fragment.app.activityViewModels +import androidx.navigation.fragment.findNavController +import dagger.hilt.android.AndroidEntryPoint +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.databinding.FragmentNokIdentityBinding +import kr.ac.tukorea.whereareu.presentation.base.BaseFragment +import kr.ac.tukorea.whereareu.presentation.login.LoginViewModel +import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.hideKeyboard +import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.setOnEditorActionListener +import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.showKeyboard + +class NokIdentityFragment : + BaseFragment(R.layout.fragment_nok_identity) { + private val viewModel: LoginViewModel by activityViewModels() + + override fun initObserver() { + binding.viewModel = viewModel + } + + override fun initView() { + binding.view = this + binding.phoneNumberEt.addTextChangedListener(PhoneNumberFormattingTextWatcher()) + with(binding) { + nameEt.setOnEditorActionListener(EditorInfo.IME_ACTION_NEXT){ + if(validName()){ + nameTextInputLayout.error = null + phoneNumberEt.showKeyboard() + } + else{ + nameTextInputLayout.error = "최소 2자의 한글을 입력해주세요" + } + } + phoneNumberEt.setOnEditorActionListener(EditorInfo.IME_ACTION_DONE){ + if(validPhone()){ + phoneNumberTextInputLayout.error = null + phoneNumberEt.hideKeyboard() + } else { + phoneNumberTextInputLayout.error = "전화번호 형식이 다릅니다.\n예시) 010-1234-5678" + } + } + } + } + + fun onClickBackBtn() { + findNavController().popBackStack() + } + + fun onClickInputDone() { + binding.nameTextInputLayout.error = if(!validName()) "최소 2자의 한글을 입력해주세요" else null + + if (!validPhone()){ + binding.phoneNumberTextInputLayout.error = "전화번호 형식이 다릅니다.\n예시) 010-1234-5678" + return + } + + val name = binding.nameEt.text.toString().trim() + val phoneNumber = binding.phoneNumberEt.text.toString().trim() + + val action = NokIdentityFragmentDirections.actionNokIdentityFragmentToNokOtpFragment( + name, phoneNumber) + findNavController().navigate(action) + } + + private fun validName() = !binding.nameEt.text.isNullOrBlank() + && REGEX_NAME.toRegex().matches(binding.nameEt.text!!) + + + private fun validPhone() = !binding.phoneNumberEt.text.isNullOrBlank() + && REGEX_PHONE.toRegex().matches(binding.phoneNumberEt.text!!) + + companion object { + private const val REGEX_NAME = "^[가-힣]{2,}\n?" + private const val REGEX_PHONE = "^01([016789])-([0-9]{3,4})-([0-9]{4})" + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/nok/NokOtpFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/nok/NokOtpFragment.kt index b3bea3eb..5ac95efa 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/nok/NokOtpFragment.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/login/nok/NokOtpFragment.kt @@ -1,99 +1,99 @@ -package kr.ac.tukorea.whereareu.presentation.login.nok - -import android.content.Context.MODE_PRIVATE -import android.view.inputmethod.EditorInfo -import androidx.core.content.edit -import androidx.fragment.app.activityViewModels -import androidx.navigation.fragment.findNavController -import androidx.navigation.fragment.navArgs -import dagger.hilt.android.AndroidEntryPoint -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.data.model.login.request.NokIdentityRequest -import kr.ac.tukorea.whereareu.databinding.FragmentNokOtpBinding -import kr.ac.tukorea.whereareu.presentation.base.BaseFragment -import kr.ac.tukorea.whereareu.presentation.login.LoginViewModel -import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.hideKeyboard -import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.setOnEditorActionListener -import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted -import kr.ac.tukorea.whereareu.util.extension.showToastOnView - -@AndroidEntryPoint -class NokOtpFragment : BaseFragment(R.layout.fragment_nok_otp) { - private val viewModel: LoginViewModel by activityViewModels() - private val args: NokOtpFragmentArgs by navArgs() - private val navigator by lazy { - findNavController() - } - - override fun initObserver() { - binding.viewModel = viewModel - repeatOnStarted{ - viewModel.navigateToNokMainEvent.collect { - // 보호자 정보 저장 - val nokSpf = requireActivity().getSharedPreferences("User", MODE_PRIVATE) - nokSpf.edit { - putBoolean("isDementia", false) - putString("key", it.nokKey) - putString("name", args.name) - putString("phone", args.phone) - commit() - } - - // 보호대상자 정보 저장 - val dementiaInfo = it.dementiaInfoRecord - val dementiaSpf = requireActivity().getSharedPreferences("OtherUser", MODE_PRIVATE) - dementiaSpf.edit { - putString("name", dementiaInfo.dementiaName) - putString("phone", dementiaInfo.dementiaPhoneNumber) - putString("key", dementiaInfo.dementiaKey) - commit() - } - if (navigator.currentDestination?.id == R.id.nokOtpFragment) { - navigator.navigate(R.id.action_nokOtpFragment_to_nokAuthorityPageFragment) - } - } - } - - // 에러 메시지 Toast로 출력 - repeatOnStarted { - viewModel.toastEvent.collect{ - requireActivity().showToastOnView(requireContext(), it, binding.finishBtn.bottom) - } - } - } - - override fun initView() { - binding.view = this - with(binding) { - otpEt.setOnEditorActionListener(EditorInfo.IME_ACTION_DONE) { - if (validOtp()) { - otpTextInputLayout.error = null - otpEt.hideKeyboard() - } else { - otpTextInputLayout.error = "6자리의 인증번호를 입력해주세요." - } - } - } - } - - fun onClickBackBtn() { - navigator.popBackStack() - } - - fun onClickInputDone() { - if (!validOtp()) { - binding.otpTextInputLayout.error = "6자리의 인증번호를 입력해주세요." - return - } - - val key = binding.otpEt.text.toString() - viewModel.sendNokIdentity(NokIdentityRequest(key, args.name, args.phone)) - } - - private fun validOtp() = !binding.otpEt.text.isNullOrBlank() - && REGEX_OTP.toRegex().matches(binding.otpEt.text!!) - - companion object { - private const val REGEX_OTP = "^([0-9]{6})" - } +package kr.ac.tukorea.whereareu.presentation.login.nok + +import android.content.Context.MODE_PRIVATE +import android.view.inputmethod.EditorInfo +import androidx.core.content.edit +import androidx.fragment.app.activityViewModels +import androidx.navigation.fragment.findNavController +import androidx.navigation.fragment.navArgs +import dagger.hilt.android.AndroidEntryPoint +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.data.model.login.request.NokIdentityRequest +import kr.ac.tukorea.whereareu.databinding.FragmentNokOtpBinding +import kr.ac.tukorea.whereareu.presentation.base.BaseFragment +import kr.ac.tukorea.whereareu.presentation.login.LoginViewModel +import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.hideKeyboard +import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.setOnEditorActionListener +import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted +import kr.ac.tukorea.whereareu.util.extension.showToastOnView + +@AndroidEntryPoint +class NokOtpFragment : BaseFragment(R.layout.fragment_nok_otp) { + private val viewModel: LoginViewModel by activityViewModels() + private val args: NokOtpFragmentArgs by navArgs() + private val navigator by lazy { + findNavController() + } + + override fun initObserver() { + binding.viewModel = viewModel + repeatOnStarted{ + viewModel.navigateToNokMainEvent.collect { + // 보호자 정보 저장 + val nokSpf = requireActivity().getSharedPreferences("User", MODE_PRIVATE) + nokSpf.edit { + putBoolean("isDementia", false) + putString("key", it.nokKey) + putString("name", args.name) + putString("phone", args.phone) + commit() + } + + // 보호대상자 정보 저장 + val dementiaInfo = it.dementiaInfoRecord + val dementiaSpf = requireActivity().getSharedPreferences("OtherUser", MODE_PRIVATE) + dementiaSpf.edit { + putString("name", dementiaInfo.dementiaName) + putString("phone", dementiaInfo.dementiaPhoneNumber) + putString("key", dementiaInfo.dementiaKey) + commit() + } + if (navigator.currentDestination?.id == R.id.nokOtpFragment) { + navigator.navigate(R.id.action_nokOtpFragment_to_nokAuthorityPageFragment) + } + } + } + + // 에러 메시지 Toast로 출력 + repeatOnStarted { + viewModel.toastEvent.collect{ + requireActivity().showToastOnView(requireContext(), it, binding.finishBtn.bottom) + } + } + } + + override fun initView() { + binding.view = this + with(binding) { + otpEt.setOnEditorActionListener(EditorInfo.IME_ACTION_DONE) { + if (validOtp()) { + otpTextInputLayout.error = null + otpEt.hideKeyboard() + } else { + otpTextInputLayout.error = "6자리의 인증번호를 입력해주세요." + } + } + } + } + + fun onClickBackBtn() { + navigator.popBackStack() + } + + fun onClickInputDone() { + if (!validOtp()) { + binding.otpTextInputLayout.error = "6자리의 인증번호를 입력해주세요." + return + } + + val key = binding.otpEt.text.toString() + viewModel.sendNokIdentity(NokIdentityRequest(key, args.name, args.phone)) + } + + private fun validOtp() = !binding.otpEt.text.isNullOrBlank() + && REGEX_OTP.toRegex().matches(binding.otpEt.text!!) + + companion object { + private const val REGEX_OTP = "^([0-9]{6})" + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/NokMainActivity.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/NokMainActivity.kt index fc770d50..f9a70710 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/NokMainActivity.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/NokMainActivity.kt @@ -1,599 +1,937 @@ -package kr.ac.tukorea.whereareu.presentation.nok - -import android.content.BroadcastReceiver -import android.content.Context -import android.content.Intent -import android.content.IntentFilter -import android.graphics.PointF -import android.util.Log -import android.view.View -import androidx.activity.viewModels -import androidx.constraintlayout.widget.ConstraintLayout -import androidx.core.content.ContextCompat -import androidx.core.view.isVisible -import androidx.lifecycle.lifecycleScope -import androidx.localbroadcastmanager.content.LocalBroadcastManager -import androidx.navigation.NavController -import androidx.navigation.fragment.NavHostFragment -import androidx.navigation.ui.setupWithNavController -import com.google.android.material.bottomsheet.BottomSheetBehavior -import com.google.android.material.bottomsheet.BottomSheetBehavior.BottomSheetCallback -import com.naver.maps.geometry.LatLng -import com.naver.maps.map.CameraAnimation -import com.naver.maps.map.CameraUpdate -import com.naver.maps.map.MapFragment -import com.naver.maps.map.NaverMap -import com.naver.maps.map.NaverMapOptions -import com.naver.maps.map.OnMapReadyCallback -import com.naver.maps.map.overlay.CircleOverlay -import com.naver.maps.map.overlay.Marker -import com.naver.maps.map.overlay.OverlayImage -import com.naver.maps.map.overlay.PathOverlay -import com.naver.maps.map.util.MarkerIcons -import com.naver.maps.map.widget.ZoomControlView -import dagger.hilt.android.AndroidEntryPoint -import kotlinx.coroutines.Job -import kotlinx.coroutines.cancelAndJoin -import kotlinx.coroutines.delay -import kotlinx.coroutines.launch -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.databinding.ActivityNokMainBinding -import kr.ac.tukorea.whereareu.databinding.IconLocationOverlayLayoutBinding -import kr.ac.tukorea.whereareu.domain.history.LocationHistory -import kr.ac.tukorea.whereareu.domain.history.LocationHistoryMetaData -import kr.ac.tukorea.whereareu.presentation.base.BaseActivity -import kr.ac.tukorea.whereareu.presentation.nok.history.LocationHistoryViewModel -import kr.ac.tukorea.whereareu.presentation.nok.home.NokHomeViewModel -import kr.ac.tukorea.whereareu.presentation.nok.setting.SettingViewModel -import kr.ac.tukorea.whereareu.util.extension.getUserKey -import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted -import kr.ac.tukorea.whereareu.util.extension.setInfoWindowText -import kr.ac.tukorea.whereareu.util.extension.setMarker -import kr.ac.tukorea.whereareu.util.extension.setMarkerWithInfoWindow -import kr.ac.tukorea.whereareu.util.extension.setPath -import java.lang.IndexOutOfBoundsException -import kotlin.math.roundToInt - -@AndroidEntryPoint -class NokMainActivity : BaseActivity(R.layout.activity_nok_main), - OnMapReadyCallback { - private val homeViewModel: NokHomeViewModel by viewModels() - private val settingViewModel: SettingViewModel by viewModels() - private val locationHistoryViewModel: LocationHistoryViewModel by viewModels() - private var updateLocationJob: Job? = null - private var countDownJob: Job? = null - private var naverMap: NaverMap? = null - private val circleOverlay = CircleOverlay() - private lateinit var behavior: BottomSheetBehavior - private lateinit var navController: NavController - private val predictMarkers = mutableListOf() - private var zoom = 14.0 - private val locationHistoryMetaData = LocationHistoryMetaData() - private fun saveUserKeys() { - val dementiaKey = getUserKey("dementia") - homeViewModel.setDementiaKey(dementiaKey) - locationHistoryViewModel.setDementiaKey(dementiaKey) - - val nokKey = getUserKey("nok") - homeViewModel.setNokKey(nokKey) - settingViewModel.setNokKey(nokKey) - } - - private fun getUpdateLocationJob(duration: Long): Job { - return lifecycleScope.launch { - while (true) { - homeViewModel.getDementiaLocation() - delay(duration) - } - } - } - - override fun initObserver() { - saveUserKeys() - - LocalBroadcastManager.getInstance(this).registerReceiver( - mMessageReceiver, IntentFilter("gps") - ) - repeatOnStarted { - homeViewModel.navigateEvent.collect { - Log.d("navigateEvent", it) - } - } - - // 앱 처음 실행, 예측 중지 시 보호대상자 위치를 갖고 오는 job이 없으면 새로운 job을 생성해서 실행 - repeatOnStarted { - homeViewModel.updateRate.collect { updateRate -> - Log.d("home updatteRate", updateRate.toString()) - if (updateRate == 0L) { - return@collect - } - - // 위치 업데이트 주기 변경 시 기존 job을 취소하고 updateRate에 맞게 재시작 - if (updateLocationJob != null) { - Log.d("job home cancel", "cc") - updateLocationJob?.cancelAndJoin() - } - updateLocationJob = getUpdateLocationJob(updateRate.times(60 * 1000)) - } - } - - // 보호 대상자 위치 UI 업데이트 - repeatOnStarted { - delay(100) - homeViewModel.dementiaLocationInfo.collect { response -> - Log.d("dementiaLocation response", response.toString()) - //예측 기능 사용시 보호대상자 위치 UI 업데이트 X - if (homeViewModel.isPredicted.value || navController.currentDestination?.id != R.id.nokHomeFragment) { - return@collect - } - val coord = LatLng(response.latitude, response.longitude) - initLocationOverlay(coord, response.currentSpeed) - } - } - - // 예측 기능 실행 - repeatOnStarted { - homeViewModel.predictEvent.collect { predictEvent -> - handlePredictEvent(predictEvent) - } - } - - - // 리사이클러뷰 아이템 클릭 이벤트에 따른 bottomSheet, Naver Map 제어 - repeatOnStarted { - homeViewModel.innerItemClickEvent.collect { event -> - behavior.state = event.behavior - naverMap?.moveCamera(CameraUpdate.scrollTo(event.coord)) - } - } - - repeatOnStarted { - locationHistoryViewModel.locationHistoryEvent.collect { event -> - handleLocationHistoryEvent(event) - } - } - } - - private fun handleLocationHistoryEvent(event: LocationHistoryViewModel.LocationHistoryEvent) { - when (event) { - LocationHistoryViewModel.LocationHistoryEvent.FetchFail -> { - - } - - is LocationHistoryViewModel.LocationHistoryEvent.FetchSuccessSingle -> { - Log.d("history", event.locationHistory.toString()) - locationHistoryMetaData.locationHistory = event.locationHistory - val latLngList = event.locationHistory.map { LatLng(it.latitude, it.longitude) } - initLocationHistory(latLngList) - } - - is LocationHistoryViewModel.LocationHistoryEvent.FetchSuccessMultiple -> { - Log.d("multipla success", "성공") - with(locationHistoryMetaData){ - locationHistory = event.locationHistory[0] - locationHistory2 = event.locationHistory[1] - val latLngList = locationHistory.map { LatLng(it.latitude, it.longitude) } - val latLngList2 = locationHistory2.map { LatLng(it.latitude, it.longitude) } - - initLocationHistory(latLngList, infoText = locationHistory[0].date) - initLocationHistory( - latLngList2, - paths[1], - R.color.purple, - markers[1], - MarkerIcons.PINK, - infoText = locationHistory2[0].date - ) - } - locationHistoryViewModel.setIsLoading(false) - } - - is LocationHistoryViewModel.LocationHistoryEvent.OnProgress2Changed -> { - with(locationHistoryMetaData){ - moveCameraAlongLocationHistory(paths[1], markers[1], event.progress, locationHistory2) - } - } - is LocationHistoryViewModel.LocationHistoryEvent.OnProgressChanged -> { - with(locationHistoryMetaData){ - moveCameraAlongLocationHistory(paths[0], markers[0], event.progress, locationHistory) - } - } - } - } - - private fun initLocationHistory( - coords: List, - path: PathOverlay = locationHistoryMetaData.paths[0], - pathColor: Int = R.color.deep_yellow, - marker: Marker = locationHistoryMetaData.markers[0], - markerColor: OverlayImage = MarkerIcons.YELLOW, - infoText: String = "현재 위치 기록" - ) { - path.setPath(this@NokMainActivity, coords, pathColor, naverMap) - - marker.setMarkerWithInfoWindow( - context = this@NokMainActivity, - latLng = coords[0], - markerIconColor = markerColor, - "", - naverMap, - infoText - ) - } - - private fun moveCameraAlongLocationHistory(path: PathOverlay, marker: Marker, progress: Int, list: List){ - if (progress == -1) { - return - } - try { - val latLng = path.coords[progress] - var animation = CameraAnimation.Fly - val distance = list[progress].distance.toDouble() - var duration = 1000L - marker.position = latLng - marker.setInfoWindowText(this, list[progress].time) - if (progress == 0) { - naverMap?.moveCamera( - CameraUpdate.scrollAndZoomTo(latLng, zoom) - .animate(animation, duration) - ) - } else { - when (distance) { - //이동 상태 정보도 받아와야 될듯 - /* - 거리에 따라 디테일 하게 줌 변경 - in 0.0..0.01 -> { - zoom = 19.0 - animation = CameraAnimation.Easing - duration = 100L - } - - in 400.0..Double.MAX_VALUE -> { - zoom = 15.0 - animation = CameraAnimation.Easing - duration = 1500L - } - - in 100.0..399.9 -> { - //zoom = 16.0 - animation = CameraAnimation.Easing - duration = 500L - } - - else -> { - //zoom = 17.0 - animation = CameraAnimation.Easing - duration = 500L - }*/ - /*in 0.0..0.01 -> { - zoom = 18.0 - animation = CameraAnimation.Easing - duration = 100L - } - - else -> { - zoom = 15.0 - animation = CameraAnimation.Easing - duration = 1000L - }*/ - } - naverMap?.moveCamera( - CameraUpdate.scrollTo(latLng) - .animate(CameraAnimation.Easing, duration) - ) - Log.d("zoom", zoom.toString()) - Log.d("distance", distance.toString()) - } - //naverMap?.moveCamera(CameraUpdate.scrollAndZoomTo(latLng, 18.0)) - } catch (e: IndexOutOfBoundsException) { - Log.d("IndexOutOfBoundsException", e.toString()) - } - } - - - private fun handlePredictEvent(event: NokHomeViewModel.PredictEvent) { - when (event) { - // 예측 시작 -> 보호대상자 마지막 정보, 의미 장소 api 호출, 보호대상자 위치 업데이트 api 정지, 로딩화면 표시 - is NokHomeViewModel.PredictEvent.StartPredict -> { - homeViewModel.predict() - stopGetDementiaLocation() - showLoadingDialog(this, "예측 장소를 추출중입니다...") - binding.predictTv.isVisible = false - binding.emergencyTv.isVisible = false - } - - // 보호대상자 마지막 정보 UI 업데이트, 실종 시각 카운트다운 시작 - is NokHomeViewModel.PredictEvent.DisplayDementiaLastInfo -> { - startCountDownJob(event.averageSpeed, event.coord) - - binding.averageMovementSpeedTv.text = String.format("%.2fkm", event.averageSpeed) - - // bottom sheet expanded offset 지정 및 높이 지정 - - behavior.expandedOffset = binding.predictLayout.bottom + 20 - binding.bottomSheet.layoutParams.height = - binding.coordinatorLayout.height - binding.predictLayout.bottom - naverMap?.uiSettings?.setLogoMargin(20, 0, 0, behavior.peekHeight + 15) - } - - // 의미장소 마커 지도에 표시 - is NokHomeViewModel.PredictEvent.MeaningFulPlace -> { - event.meaningfulPlaceForList.forEach { meaningfulPlace -> - predictMarkers.add( - Marker().apply { - setMarker( - latLng = meaningfulPlace.latLng, - markerIconColor = MarkerIcons.YELLOW, - text = meaningfulPlace.address, - naverMap = naverMap, - ) - } - ) - Log.d("markers 2", predictMarkers.toString()) - } - } - - // 의미장소 주변 경찰서 마커 지도에 표시 - is NokHomeViewModel.PredictEvent.SearchNearbyPoliceStation -> { - event.policeStationList.forEach { policeStation -> - predictMarkers.add(Marker().apply { - setMarker( - latLng = policeStation.latLng, - MarkerIcons.BLUE, - policeStation.policeName, - naverMap - ) - }) - } - } - - // 보호대상자 마지막 위치 마커 지도에 표시 - is NokHomeViewModel.PredictEvent.DisplayDementiaLastLocation -> { - binding.lastLocationTv.text = event.lastLocation.address - - //naverMap?.moveCamera(CameraUpdate.scrollTo(event.lastLocation.latLng)) - - predictMarkers.add(LAST_LOCATION, Marker().apply { - setMarkerWithInfoWindow( - context = this@NokMainActivity, - latLng = event.lastLocation.latLng, - markerIconColor = MarkerIcons.RED, - markerText = event.lastLocation.address, - naverMap = naverMap, - infoText = "실종 직전 위치" - ) - }) - } - - // 예측 중지, 실종 시각 카운트다운 중지 - is NokHomeViewModel.PredictEvent.StopPredict -> { - lifecycleScope.launch { - countDownJob?.cancelAndJoin() - countDownJob = null - circleOverlay.isVisible = false - binding.countDownT.text = "00:00" - } - binding.bottomSheet.layoutParams.height = binding.coordinatorLayout.height - behavior.expandedOffset = 0 - naverMap?.uiSettings?.setLogoMargin(20, 0, 0, 40) - predictMarkers.forEach { marker -> - marker.map = null - } - binding.predictTv.isVisible = true - binding.emergencyTv.isVisible = true - } - - is NokHomeViewModel.PredictEvent.PredictLocation -> { - naverMap?.moveCamera(CameraUpdate.scrollTo(LatLng(event.predictLocation.latitude.toDouble(), event.predictLocation.longitude.toDouble()))) - predictMarkers.add(Marker().apply { - setMarkerWithInfoWindow(this@NokMainActivity, - latLng = LatLng(event.predictLocation.latitude.toDouble(), event.predictLocation.longitude.toDouble()), - markerIconColor = MarkerIcons.GREEN, - markerText = event.predictLocation.address, - naverMap = naverMap, - infoText = "예상 위치") - }) - dismissLoadingDialog() - } - } - } - - private fun initLocationOverlay(coord: LatLng, speed: Float) { - val binding = IconLocationOverlayLayoutBinding.inflate(layoutInflater) - val view = binding.layout - naverMap?.let { - val locationOverlay = it.locationOverlay - with(locationOverlay) { - isVisible = true - - // m/s to km/h - binding.speedTv.text = (speed * 3.6).roundToInt().toString() - binding.nameTv.text = homeViewModel.dementiaName.value - circleRadius = 0 - position = coord - anchor = PointF(0.5f, 1f) - icon = OverlayImage.fromView(view) - } - - it.moveCamera(CameraUpdate.scrollTo(coord)) - } - } - - private fun startCountDownJob(averageSpeed: Double, coord: LatLng) { - with(circleOverlay) { - center = coord - color = ContextCompat.getColor(this@NokMainActivity, R.color.purple) - outlineWidth = 5 - outlineColor = ContextCompat.getColor(this@NokMainActivity, R.color.deep_purple) - radius = 0.0 - } - - countDownJob = lifecycleScope.launch { - var second = 0 - var minute = 0 - while (true) { - second += 1 - circleOverlay.radius += averageSpeed - circleOverlay.map = naverMap - if (second % 60 == 0) { - minute += 1 - second = 0 - } - binding.countDownT.text = String.format("%02d:%02d", minute, second) - delay(1000L) - } - } - } - - private fun stopGetDementiaLocation() { - lifecycleScope.launch { - Log.d("NokMainActivity", "stopGetDementiaLocation") - updateLocationJob?.cancelAndJoin() - } - naverMap?.locationOverlay?.isVisible = false - homeViewModel.setUpdateRate(0) - } - - fun predict() { - homeViewModel.setIsPredicted(true) - } - - fun stopPredict() { - homeViewModel.setIsPredicted(false) - } - - override fun initView() { - binding.view = this - binding.viewModel = homeViewModel - initBottomSheet() - initMap() - initNavigator() - } - - private fun initMap() { - val fm = supportFragmentManager - val mapFragment = fm.findFragmentById(R.id.map_fragment) as MapFragment? - ?: MapFragment.newInstance().also { - fm.beginTransaction().add(R.id.map_fragment, it).commit() - } - mapFragment.getMapAsync { map -> - map.uiSettings.setLogoMargin(20, 0, 0, 40) - map.uiSettings.isZoomControlEnabled = false - val zoomControlView = findViewById(R.id.zoom) as ZoomControlView - zoomControlView.map = map - naverMap = map - } - } - - private fun initBottomSheet() { - behavior = BottomSheetBehavior.from(binding.bottomSheet) - behavior.state = BottomSheetBehavior.STATE_COLLAPSED - behavior.isFitToContents = false - behavior.setPeekHeight(200, true) - behavior.addBottomSheetCallback(object : BottomSheetCallback() { - override fun onStateChanged(bottomSheet: View, newState: Int) { - when (newState) { - BottomSheetBehavior.STATE_HALF_EXPANDED -> { - - } - - BottomSheetBehavior.STATE_COLLAPSED -> { - } - } - } - - override fun onSlide(bottomSheet: View, slideOffset: Float) { - - if (slideOffset <= 0.3f) { - binding.layout.translationY = -slideOffset * bottomSheet.height - } - } - }) - } - - private fun initNavigator() { - val navHostFragment = - supportFragmentManager.findFragmentById(R.id.fragmentContainer) as NavHostFragment - navController = navHostFragment.navController - - binding.bottomNav.setupWithNavController(navController) - - navController.addOnDestinationChangedListener { controller, destination, arguments -> - var event: NokHomeViewModel.NavigateEvent = NokHomeViewModel.NavigateEvent.Home - - if (destination.id != R.id.nokHomeFragment) { - stopGetDementiaLocation() - Log.d("margin", naverMap?.uiSettings?.logoMargin?.contentToString().toString()) - //naverMap?.uiSettings?.setLogoMargin(20,0,0, behavior.peekHeight + 15) - Log.d("margin", naverMap?.uiSettings?.logoMargin?.contentToString().toString()) - homeViewModel.setIsPredicted(false) - naverMap?.uiSettings?.setLogoMargin(20, 0, 0, behavior.peekHeight + 15) - } - - if (destination.id != R.id.locationHistoryFragment) { - with(locationHistoryMetaData){ - paths.forEach { - it.map = null - } - //path = null - markers.forEach { - it.map = null - } - } - } - - if (destination.id != R.id.nokSettingFragment or R.id.modifyUserInfoFragment or R.id.settingUpdateTimeFragment) { - behavior.isDraggable = true - behavior.state = BottomSheetBehavior.STATE_COLLAPSED - } - - when (destination.id) { - R.id.nokHomeFragment -> { - Log.d("margin", naverMap?.uiSettings?.logoMargin?.contentToString().toString()) - naverMap?.uiSettings?.setLogoMargin(20, 0, 0, 40) - event = NokHomeViewModel.NavigateEvent.Home - homeViewModel.fetchUserInfo() - binding.mapViewBtn.setOnClickListener { - naverMap?.moveCamera(CameraUpdate.scrollTo(predictMarkers[LAST_LOCATION].position)) - } - } - - R.id.nokSettingFragment, R.id.modifyUserInfoFragment, R.id.settingUpdateTimeFragment -> { - behavior.isDraggable = false - behavior.state = BottomSheetBehavior.STATE_EXPANDED - event = NokHomeViewModel.NavigateEvent.Setting - } - - R.id.safeAreaFragment -> { - event = NokHomeViewModel.NavigateEvent.SafeArea - } - - R.id.meaningfulPlaceFragment -> { - event = NokHomeViewModel.NavigateEvent.MeaningfulPlace - } - - R.id.locationHistoryFragment -> { - locationHistoryViewModel.setIsLoading(true) - event = NokHomeViewModel.NavigateEvent.LocationHistory - } - } - homeViewModel.eventNavigate(event) - } - } - - private val mMessageReceiver: BroadcastReceiver = object : BroadcastReceiver() { - override fun onReceive(context: Context?, intent: Intent?) { - val location = intent?.getDoubleArrayExtra("location") - //val long = intent?.getDoubleExtra("long", 0.0) - Log.d("location log", "${location?.get(0)}, ${location?.get(1)}") - // Toast.makeText(context, message, Toast.LENGTH_SHORT).show(); - } - } - - override fun onMapReady(p0: NaverMap) { - } - - companion object { - const val LAST_LOCATION = 0 - } +package kr.ac.tukorea.whereareu.presentation.nok + +import android.content.BroadcastReceiver +import android.content.Context +import android.content.Intent +import android.content.IntentFilter +import android.graphics.PointF +import android.util.Log +import android.view.View +import android.view.inputmethod.EditorInfo +import androidx.activity.viewModels +import androidx.constraintlayout.widget.ConstraintLayout +import androidx.core.content.ContextCompat +import androidx.core.view.isVisible +import androidx.lifecycle.lifecycleScope +import androidx.localbroadcastmanager.content.LocalBroadcastManager +import androidx.navigation.NavController +import androidx.navigation.fragment.NavHostFragment +import androidx.navigation.ui.setupWithNavController +import com.google.android.material.bottomsheet.BottomSheetBehavior +import com.google.android.material.bottomsheet.BottomSheetBehavior.BottomSheetCallback +import com.naver.maps.geometry.LatLng +import com.naver.maps.map.CameraAnimation +import com.naver.maps.map.CameraUpdate +import com.naver.maps.map.MapFragment +import com.naver.maps.map.NaverMap +import com.naver.maps.map.OnMapReadyCallback +import com.naver.maps.map.overlay.Marker +import com.naver.maps.map.overlay.OverlayImage +import com.naver.maps.map.overlay.PathOverlay +import com.naver.maps.map.util.MarkerIcons +import com.naver.maps.map.widget.ZoomControlView +import dagger.hilt.android.AndroidEntryPoint +import kotlinx.coroutines.Job +import kotlinx.coroutines.cancelAndJoin +import kotlinx.coroutines.delay +import kotlinx.coroutines.launch +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.databinding.ActivityNokMainBinding +import kr.ac.tukorea.whereareu.databinding.IconLocationOverlayLayoutBinding +import kr.ac.tukorea.whereareu.domain.history.LocationHistory +import kr.ac.tukorea.whereareu.domain.history.LocationHistoryMetaData +import kr.ac.tukorea.whereareu.domain.home.PredictMetaData +import kr.ac.tukorea.whereareu.domain.safearea.SafeAreaMetaData +import kr.ac.tukorea.whereareu.presentation.base.BaseActivity +import kr.ac.tukorea.whereareu.presentation.nok.history.LocationHistoryViewModel +import kr.ac.tukorea.whereareu.presentation.nok.home.NokHomeViewModel +import kr.ac.tukorea.whereareu.presentation.nok.safearea.SafeAreaDetailFragmentDirections +import kr.ac.tukorea.whereareu.presentation.nok.safearea.SafeAreaViewModel +import kr.ac.tukorea.whereareu.presentation.nok.safearea.SelectGroupDialogFragment +import kr.ac.tukorea.whereareu.presentation.nok.setting.SettingViewModel +import kr.ac.tukorea.whereareu.util.extension.EditTextUtil.setOnEditorActionListener +import kr.ac.tukorea.whereareu.util.extension.getUserKey +import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted +import kr.ac.tukorea.whereareu.util.extension.setInfoWindowText +import kr.ac.tukorea.whereareu.util.extension.setMarker +import kr.ac.tukorea.whereareu.util.extension.setMarkerWithInfoWindow +import kr.ac.tukorea.whereareu.util.extension.setPath +import kotlin.math.roundToInt + + +@AndroidEntryPoint +class NokMainActivity : BaseActivity(R.layout.activity_nok_main), + OnMapReadyCallback { + private val homeViewModel: NokHomeViewModel by viewModels() + private val settingViewModel: SettingViewModel by viewModels() + private val locationHistoryViewModel: LocationHistoryViewModel by viewModels() + private val safeAreaViewModel: SafeAreaViewModel by viewModels() + + private var updateLocationJob: Job? = null + private var countDownJob: Job? = null + private var naverMap: NaverMap? = null + private lateinit var behavior: BottomSheetBehavior + private lateinit var navController: NavController + private val predictMetaData = PredictMetaData() + private val locationHistoryMetaData = LocationHistoryMetaData() + private val safeAreMetaData = SafeAreaMetaData() + private val tag = "NokMainActivity:" + private val isFirstNavigationEvent = mutableListOf(true, true, true) + private var isRequireStopHomeFragmentJob = true + + private fun getUpdateLocationJob(duration: Long): Job { + return lifecycleScope.launch { + while (true) { + homeViewModel.getDementiaLocation() + delay(duration) + } + } + } + + override fun initObserver() { + saveUserKeys() + + LocalBroadcastManager.getInstance(this).registerReceiver( + mMessageReceiver, IntentFilter("gps") + ) + + repeatOnStarted { + homeViewModel.navigateEvent.collect { event -> + Log.d("$tag navigateEvent collect", event.toString()) + handleNavigationEvent(event) + } + } + + repeatOnStarted { + homeViewModel.navigateEventToString.collect { + Log.d("naviate to string", it) + } + } + + // 앱 처음 실행, 예측 중지 시 보호대상자 위치를 갖고 오는 job이 없으면 새로운 job을 생성해서 실행 + repeatOnStarted { + homeViewModel.updateRate.collect { updateRate -> + Log.d("$tag updateRate collect", updateRate.toString()) + if (updateRate == 0L) { + return@collect + } + + // 위치 업데이트 주기 변경 시 기존 job을 취소하고 updateRate에 맞게 재시작 + if (updateLocationJob != null) { + Log.d("$tag updateRate restart", updateRate.toString()) + updateLocationJob?.cancelAndJoin() + } + updateLocationJob = getUpdateLocationJob(updateRate.times(60 * 1000)) + } + } + + // 보호 대상자 위치 UI 업데이트 + repeatOnStarted { + delay(100) + homeViewModel.dementiaLocationInfo.collect { response -> + Log.d("$tag dementiaLocationInfo collect", response.toString()) + + //예측 기능 사용시 보호대상자 위치 UI 업데이트 X + if (navController.currentDestination?.id != R.id.nokHomeFragment) { + return@collect + } + val coord = LatLng(response.latitude, response.longitude) + initLocationOverlay(coord, response.currentSpeed) + } + } + + // 예측 기능 실행 + repeatOnStarted { + homeViewModel.predictEvent.collect { event -> + Log.d("$tag predictEvent collect", event.toString()) + handlePredictEvent(event) + } + } + + repeatOnStarted { + locationHistoryViewModel.locationHistoryEvent.collect { event -> + Log.d("$tag locationHistoryEvent collect", event.toString()) + handleLocationHistoryEvent(event) + } + } + + repeatOnStarted { + safeAreaViewModel.safeAreaEvent.collect { event -> + handleSafeAreaEvent(event) + } + } + + repeatOnStarted { + homeViewModel.isPredicted.collect { + Log.d("isPredicted", it.toString()) + } + } + } + + private fun handleSafeAreaEvent(event: SafeAreaViewModel.SafeAreaEvent) { + when (event) { + is SafeAreaViewModel.SafeAreaEvent.FetchSafeArea -> { + /*event.safeAreas.forEach { safeArea -> + with(safeArea) { + val latLng = LatLng(latitude, longitude) + safeAreMetaData.markers.add( + Marker().apply { + setMarker( + latLng = latLng, + markerIconColor = MarkerIcons.YELLOW, + text = areaName, + naverMap = naverMap, + ) + } + ) + safeAreMetaData.circleOverlays.add( + CircleOverlay().apply { + radius = safeArea.radius.toDouble() + center = latLng + outlineWidth = 5 + outlineColor = ContextCompat.getColor( + this@NokMainActivity, + R.color.deep_yellow + ) + color = ContextCompat.getColor( + this@NokMainActivity, + R.color.transparent_yellow + ) + map = naverMap + } + ) + } + }*/ + + } + + is SafeAreaViewModel.SafeAreaEvent.MapView -> { + behavior.state = event.behavior + naverMap?.moveCamera(CameraUpdate.scrollTo(event.coord)) + } + + is SafeAreaViewModel.SafeAreaEvent.SettingSafeArea -> { + if (event.isSettingSafeArea) { + behavior.isDraggable = false + if(navController.currentDestination?.id == R.id.safeAreaFragment){ + navController.navigate(R.id.action_safeAreaFragment_to_settingSafeAreaFragment) + } else { + val action = SafeAreaDetailFragmentDirections.actionSafeAreaDetailFragmentToSettingSafeAreaFragment() + navController.navigate(R.id.action_safeAreaDetailFragment_to_settingSafeAreaFragment) + } + + with(safeAreMetaData) { + binding.bottomSheetTopIv.isVisible = false + isSettingSafeArea = true + settingMarker.isVisible = true + settingCircleOverlay.isVisible = true + } + } else { + behavior.isDraggable = true + with(safeAreMetaData) { + binding.bottomSheetTopIv.isVisible = true + isSettingSafeArea = false + settingMarker.isVisible = false + settingCircleOverlay.isVisible = false + safeAreaViewModel.setSelectedSafeAreaGroup("기본 그룹") + } + navController.popBackStack() + } + } + + is SafeAreaViewModel.SafeAreaEvent.RadiusChange -> { + val zoom = when (event.radius) { + "0.5" -> 14.0 + "1" -> 13.5 + "1.5" -> 13.0 + "2" -> 12.5 + "2.5" -> 12.0 + "3" -> 11.5 + else -> 14.0 + } + naverMap?.moveCamera(CameraUpdate.zoomTo(zoom)) + safeAreMetaData.settingCircleOverlay.radius = event.radius.toDouble().times(1000) + } + + is SafeAreaViewModel.SafeAreaEvent.ChangeSafeAreaGroup -> { + binding.groupTv.text = event.groupName + } + + is SafeAreaViewModel.SafeAreaEvent.FetchCoord -> { + naverMap?.moveCamera(CameraUpdate.scrollTo(event.coord)) + + } + + else -> {} + } + } + + private fun handleNavigationEvent(event: NokHomeViewModel.NavigateEvent) { + when (event) { + NokHomeViewModel.NavigateEvent.Home -> {} + + is NokHomeViewModel.NavigateEvent.HomeState -> { + behavior.isDraggable = true + if (event.isPredicted) { + setBottomSheetBehaviorForFirstNavigationEvent(HOME) + } else { + if (navController.currentDestination?.id == R.id.nokHomeFragment) { + homeViewModel.fetchUserInfo() + binding.layout.translationY = 0f + } + } + } + + NokHomeViewModel.NavigateEvent.LocationHistory -> { + behavior.state = BottomSheetBehavior.STATE_HALF_EXPANDED + } + + NokHomeViewModel.NavigateEvent.MeaningfulPlace -> { + behavior.state = BottomSheetBehavior.STATE_HALF_EXPANDED + } + + NokHomeViewModel.NavigateEvent.SafeArea -> { + if(navController.currentDestination?.id == R.id.safeAreaFragment) { + behavior.state = BottomSheetBehavior.STATE_EXPANDED + } else { + behavior.state = BottomSheetBehavior.STATE_HALF_EXPANDED + } + behavior.isDraggable = false + } + + NokHomeViewModel.NavigateEvent.Setting -> { + binding.navermapLogo.isVisible = false + behavior.isDraggable = false + behavior.state = BottomSheetBehavior.STATE_EXPANDED + } + + NokHomeViewModel.NavigateEvent.SafeAreaDetail -> { + behavior.state = BottomSheetBehavior.STATE_HALF_EXPANDED + } + + NokHomeViewModel.NavigateEvent.SafeAreaSetting -> { + behavior.state = BottomSheetBehavior.STATE_HALF_EXPANDED + with(safeAreMetaData) { + settingMarker.apply { + setMarker( + naverMap?.cameraPosition?.target!!, + MarkerIcons.YELLOW, + "", + naverMap + ) + isVisible = true + } + + settingCircleOverlay.apply { + center = settingMarker.position + radius = 500.0 + color = + ContextCompat.getColor( + this@NokMainActivity, + R.color.transparent_yellow + ) + outlineWidth = 5 + outlineColor = + ContextCompat.getColor(this@NokMainActivity, R.color.deep_yellow) + map = naverMap + isVisible = true + + } + safeAreaViewModel.setSettingSafeAreaLatLng(naverMap?.cameraPosition?.target!!) + naverMap?.addOnCameraChangeListener { _, _ -> + if (!isSettingSafeArea) { + return@addOnCameraChangeListener + } + Log.d("change", "change") + + val currentPosition = naverMap?.cameraPosition?.target!! + safeAreaViewModel.setSettingSafeAreaLatLng(currentPosition) + Log.d("position", currentPosition.toString()) + settingMarker.position = currentPosition + settingCircleOverlay.center = currentPosition + } + } + } + } + } + + private fun handleLocationHistoryEvent(event: LocationHistoryViewModel.LocationHistoryEvent) { + when (event) { + LocationHistoryViewModel.LocationHistoryEvent.FetchFail -> { + + } + + is LocationHistoryViewModel.LocationHistoryEvent.FetchSuccessSingle -> { + Log.d("history", event.locationHistory.toString()) + locationHistoryMetaData.locationHistory = event.locationHistory + val latLngList = event.locationHistory.map { LatLng(it.latitude, it.longitude) } + initLocationHistory(latLngList) + } + + is LocationHistoryViewModel.LocationHistoryEvent.FetchSuccessMultiple -> { + Log.d("multipla success", "성공") + with(locationHistoryMetaData) { + locationHistory = event.locationHistory[0] + locationHistory2 = event.locationHistory[1] + val latLngList = locationHistory.map { LatLng(it.latitude, it.longitude) } + val latLngList2 = locationHistory2.map { LatLng(it.latitude, it.longitude) } + + initLocationHistory(latLngList, infoText = locationHistory[0].date) + initLocationHistory( + latLngList2, + paths[1], + R.color.purple, + markers[1], + MarkerIcons.PINK, + infoText = locationHistory2[0].date + ) + } + locationHistoryViewModel.setIsLoading(false) + } + + is LocationHistoryViewModel.LocationHistoryEvent.OnProgress2Changed -> { + with(locationHistoryMetaData) { + moveCameraAlongLocationHistory( + paths[1], + markers[1], + event.progress, + locationHistory2 + ) + } + } + + is LocationHistoryViewModel.LocationHistoryEvent.OnProgressChanged -> { + with(locationHistoryMetaData) { + moveCameraAlongLocationHistory( + paths[0], + markers[0], + event.progress, + locationHistory + ) + } + } + } + } + + private fun initLocationHistory( + coords: List, + path: PathOverlay = locationHistoryMetaData.paths[0], + pathColor: Int = R.color.deep_yellow, + marker: Marker = locationHistoryMetaData.markers[0], + markerColor: OverlayImage = MarkerIcons.YELLOW, + infoText: String = "현재 위치 기록" + ) { + path.setPath(this@NokMainActivity, coords, pathColor, naverMap) + + marker.setMarkerWithInfoWindow( + context = this@NokMainActivity, + latLng = coords[0], + markerIconColor = markerColor, + "", + naverMap, + infoText + ) + } + + private fun moveCameraAlongLocationHistory( + path: PathOverlay, + marker: Marker, + progress: Int, + list: List + ) { + if (progress == -1) { + return + } + try { + val latLng = path.coords[progress] + var animation = CameraAnimation.Fly + val distance = list[progress].distance.toDouble() + var duration = 1000L + marker.position = latLng + marker.setInfoWindowText(this, list[progress].time) + if (progress == 0) { + naverMap?.moveCamera( + CameraUpdate.scrollAndZoomTo(latLng, locationHistoryMetaData.zoom) + .animate(animation, duration) + ) + } else { + when (distance) { + //이동 상태 정보도 받아와야 될듯 + /* + 거리에 따라 디테일 하게 줌 변경 + in 0.0..0.01 -> { + zoom = 19.0 + animation = CameraAnimation.Easing + duration = 100L + } + + in 400.0..Double.MAX_VALUE -> { + zoom = 15.0 + animation = CameraAnimation.Easing + duration = 1500L + } + + in 100.0..399.9 -> { + //zoom = 16.0 + animation = CameraAnimation.Easing + duration = 500L + } + + else -> { + //zoom = 17.0 + animation = CameraAnimation.Easing + duration = 500L + }*/ + /*in 0.0..0.01 -> { + zoom = 18.0 + animation = CameraAnimation.Easing + duration = 100L + } + + else -> { + zoom = 15.0 + animation = CameraAnimation.Easing + duration = 1000L + }*/ + } + naverMap?.moveCamera( + CameraUpdate.scrollTo(latLng) + .animate(CameraAnimation.Easing, duration) + ) + Log.d("distance", distance.toString()) + } + } catch (e: IndexOutOfBoundsException) { + Log.d("$tag moveCameraAlongLocationHistory IndexOutOfBoundsException", e.toString()) + } + } + + + private fun handlePredictEvent(event: NokHomeViewModel.PredictEvent) { + when (event) { + // 예측 시작 -> 보호대상자 마지막 정보, 의미 장소 api 호출, 보호대상자 위치 업데이트 api 정지, 로딩화면 표시 + is NokHomeViewModel.PredictEvent.StartPredict -> { + homeViewModel.predict() + stopGetDementiaLocation() + showLoadingDialog(this, "예측 장소를 추출중입니다...") + } + + // 보호대상자 마지막 정보 UI 업데이트, 실종 시각 카운트다운 시작 + is NokHomeViewModel.PredictEvent.DisplayDementiaLastInfo -> { + startCountDownJob(event.averageSpeed, event.coord) + + binding.averageMovementSpeedTv.text = String.format("%.2fkm", event.averageSpeed) + + // bottom sheet expanded offset 지정 및 높이 지정 + behavior.expandedOffset = binding.predictLayout.bottom + 20 + } + + // 의미장소 마커 지도에 표시 + is NokHomeViewModel.PredictEvent.MeaningFulPlace -> { + event.meaningfulPlaceForList.forEach { meaningfulPlace -> + predictMetaData.markers.add( + Marker().apply { + setMarker( + latLng = meaningfulPlace.latLng, + markerIconColor = MarkerIcons.YELLOW, + text = meaningfulPlace.address, + naverMap = naverMap, + ) + } + ) + } + } + + // 의미장소 주변 경찰서 마커 지도에 표시 + is NokHomeViewModel.PredictEvent.SearchNearbyPoliceStation -> { + event.policeStationList.forEach { policeStation -> + predictMetaData.markers.add(Marker().apply { + setMarker( + latLng = policeStation.latLng, + MarkerIcons.BLUE, + policeStation.policeName, + naverMap + ) + }) + } + } + + // 보호대상자 마지막 위치 마커 지도에 표시 + is NokHomeViewModel.PredictEvent.DisplayDementiaLastLocation -> { + binding.lastLocationTv.text = event.lastLocation.address + predictMetaData.markers.add(LAST_LOCATION, Marker().apply { + setMarkerWithInfoWindow( + context = this@NokMainActivity, + latLng = event.lastLocation.latLng, + markerIconColor = MarkerIcons.RED, + markerText = event.lastLocation.address, + naverMap = naverMap, + infoText = "실종 직전 위치" + ) + }) + binding.mapViewBtn.setOnClickListener { + naverMap?.moveCamera(CameraUpdate.scrollTo(predictMetaData.markers[LAST_LOCATION].position)) + } + } + + // 예측 중지, 실종 시각 카운트다운 중지 + is NokHomeViewModel.PredictEvent.StopPredict -> { + lifecycleScope.launch { + countDownJob?.cancelAndJoin() + countDownJob = null + } + with(predictMetaData) { + circleOverlay.isVisible = false + binding.countDownT.text = "00:00" + behavior.expandedOffset = 0 + + markers.forEach { marker -> + marker.map = null + marker.isVisible = false + } + markers.clear() + binding.layout.translationY = 0f + } + } + + is NokHomeViewModel.PredictEvent.PredictLocation -> { + with(event.predictLocation.meaningfulPlaceInfo) { + naverMap?.moveCamera( + CameraUpdate.scrollTo( + latLng + ) + ) + + val predictMarker = + predictMetaData.markers.firstOrNull { it.captionText == address && it.icon == MarkerIcons.GREEN } + if (predictMarker == null) { + predictMetaData.markers.add(Marker().apply { + setMarkerWithInfoWindow( + this@NokMainActivity, + latLng = latLng, + markerIconColor = MarkerIcons.GREEN, + markerText = address, + naverMap = naverMap, + infoText = "예상 위치" + ) + }) + } + + Log.d("homemarkers size", predictMetaData.markers.size.toString()) + } + } + + // 예측 기능 로딩 완료 알림 + NokHomeViewModel.PredictEvent.PredictDone -> { + dismissLoadingDialog() + } + + // 리사이클러뷰 아이템 클릭 이벤트에 따른 bottomSheet, Naver Map 제어 + is NokHomeViewModel.PredictEvent.MapView -> { + behavior.state = event.behavior + naverMap?.moveCamera(CameraUpdate.scrollTo(event.coord)) + } + } + } + + private fun initLocationOverlay(coord: LatLng, speed: Float) { + val binding = IconLocationOverlayLayoutBinding.inflate(layoutInflater) + val view = binding.layout + naverMap?.let { + val locationOverlay = it.locationOverlay + with(locationOverlay) { + isVisible = true + + // m/s to km/h + binding.speedTv.text = (speed * 3.6).roundToInt().toString() + binding.nameTv.text = homeViewModel.dementiaName.value + circleRadius = 0 + position = coord + anchor = PointF(0.5f, 1f) + icon = OverlayImage.fromView(view) + } + + it.moveCamera(CameraUpdate.scrollTo(coord)) + } + } + + private fun startCountDownJob(averageSpeed: Double, coord: LatLng) { + with(predictMetaData.circleOverlay) { + center = coord + color = ContextCompat.getColor(this@NokMainActivity, R.color.purple) + outlineWidth = 5 + outlineColor = ContextCompat.getColor(this@NokMainActivity, R.color.deep_purple) + radius = 0.0 + isVisible = true + } + + countDownJob = lifecycleScope.launch { + var second = 0 + var minute = 0 + while (true) { + second += 1 + predictMetaData.circleOverlay.radius += averageSpeed + predictMetaData.circleOverlay.map = naverMap + if (second % 60 == 0) { + minute += 1 + second = 0 + } + binding.countDownT.text = String.format("%02d:%02d", minute, second) + delay(1000L) + } + } + } + + private fun stopGetDementiaLocation() { + lifecycleScope.launch { + Log.d("$tag stopGetDementiaLocation", "stopGetDementiaLocation") + updateLocationJob?.cancelAndJoin() + } + naverMap?.locationOverlay?.isVisible = false + homeViewModel.setUpdateRate(0) + } + + fun predict() { + //homeViewModel.setIsPredicted(true) + isFirstNavigationEvent[HOME] = true + homeViewModel.eventHomeState(isPredicted = true, isPredictDone = false) + } + + fun stopPredict() { + homeViewModel.eventHomeState(isPredicted = false) + } + + private fun setSafeArea(){ + /*if(navController.currentDestination?.id == R.id.safeAreaFragment){ + navController.navigate(R.id.action_safeAreaFragment_to_settingSafeAreaFragment) + } else { + navController.navigate(R.id.action_safeAreaDetailFragment_to_settingSafeAreaFragment) + }*/ + safeAreaViewModel.setIsSettingSafeAreaStatus(true) + } + + override fun initView() { + binding.view = this + binding.viewModel = homeViewModel + binding.safeAreaVm = safeAreaViewModel + homeViewModel.fetchUserInfo() + initBottomSheet() + initMap() + initNavigator() + + binding.setSafeAreaTv.setOnClickListener { + setSafeArea() + } + + binding.changeGroupBtn.setOnClickListener { + val dialog = SelectGroupDialogFragment() + + dialog.show(supportFragmentManager, dialog.tag) + } + } + + private fun initMap() { + val fm = supportFragmentManager + val mapFragment = fm.findFragmentById(R.id.map_fragment) as MapFragment? + ?: MapFragment.newInstance().also { + fm.beginTransaction().add(R.id.map_fragment, it).commit() + } + mapFragment.getMapAsync { map -> + map.uiSettings.isZoomControlEnabled = false + val zoomControlView: ZoomControlView = findViewById(R.id.zoom) + zoomControlView.map = map + naverMap = map + } + } + + private fun initBottomSheet() { + behavior = BottomSheetBehavior.from(binding.bottomSheet) + behavior.state = BottomSheetBehavior.STATE_COLLAPSED + behavior.isFitToContents = false + behavior.halfExpandedRatio = 0.3f + behavior.setPeekHeight(200, true) + behavior.addBottomSheetCallback(object : BottomSheetCallback() { + override fun onStateChanged(bottomSheet: View, newState: Int) { + } + + override fun onSlide(bottomSheet: View, slideOffset: Float) { + //Log.d("slide offset", slideOffset.toString()) + + if (slideOffset >= 0.5f) { + binding.navermapLogo.isVisible = false + } else { + binding.navermapLogo.isVisible = true + } + + if (navController.currentDestination?.id in listOf( + R.id.safeAreaDetailFragment, + ) + ) { + if (slideOffset >= 0.5f) { + binding.setSafeAreaTv.isVisible = false + } else { + binding.setSafeAreaTv.isVisible = true + } + + /*if (slideOffset <= 0.2f) { + Log.d("뭐ㅓㄴ데", "뭔데") + //behavior.isDraggable = false + } else { + Log.d("뭐ㅓㄴ데", "뭐냐고") + //behavior.isDraggable = true + }*/ + } else { + if (slideOffset <= 0.3f) { + binding.layout.translationY = -slideOffset * bottomSheet.height * 0.5f + } + } + } + }) + } + + //viewModel과 binding Adapter로 refactoring ㅇ정 + private fun initNavigator() { + val navHostFragment = + supportFragmentManager.findFragmentById(R.id.fragmentContainer) as NavHostFragment + navController = navHostFragment.navController + + binding.bottomNav.setupWithNavController(navController) + navController.addOnDestinationChangedListener { _, destination, _ -> + Log.d("destination", destination.toString()) + + if (navController.currentDestination?.id !in listOf( + R.id.nokHomeFragment, + R.id.meaningfulPlaceDetailFragment + ) + ) { + if(isRequireStopHomeFragmentJob) { + isRequireStopHomeFragmentJob = false + stopHomeFragmentJob() + } + } + + if (destination.id !in listOf( + R.id.safeAreaFragment, + R.id.safeAreaDetailFragment, + R.id.settingSafeAreaFragment + ) + ) { + isFirstNavigationEvent[SAFE_AREA] = true + safeAreaViewModel.setIsSafeAreaGroupChanged(true) + } + + if (destination.id != R.id.locationHistoryFragment) { + clearLocationFragmentUI() + } + + if (destination.id !in listOf( + R.id.nokSettingFragment, + R.id.settingUpdateTimeFragment, + R.id.modifyUserInfoFragment, + R.id.settingSafeAreaFragment + ) + ) { + behavior.isDraggable = true + } + + if (destination.id == R.id.safeAreaFragment) { + behavior.setPeekHeight(300, true) + } + + when (destination.id) { + R.id.nokHomeFragment, R.id.meaningfulPlaceDetailFragment -> { + isRequireStopHomeFragmentJob = true + homeViewModel.eventNavigate(NokHomeViewModel.NavigateEvent.Home) + homeViewModel.eventHomeState() + } + + R.id.nokSettingFragment, R.id.modifyUserInfoFragment, R.id.settingUpdateTimeFragment -> { + homeViewModel.eventNavigate(NokHomeViewModel.NavigateEvent.Setting) + } + + R.id.safeAreaFragment-> { + homeViewModel.eventNavigate(NokHomeViewModel.NavigateEvent.SafeArea) + } + R.id.safeAreaDetailFragment -> { + homeViewModel.eventNavigate(NokHomeViewModel.NavigateEvent.SafeAreaDetail) + behavior.halfExpandedRatio = 0.3f + } + + R.id.settingSafeAreaFragment -> { + homeViewModel.eventNavigate(NokHomeViewModel.NavigateEvent.SafeAreaSetting) + behavior.halfExpandedRatio = 0.2f + } + + R.id.meaningfulPlaceFragment -> { + homeViewModel.eventNavigate(NokHomeViewModel.NavigateEvent.MeaningfulPlace) + } + + R.id.locationHistoryFragment -> { + homeViewModel.eventNavigate(NokHomeViewModel.NavigateEvent.LocationHistory) + } + } + } + } + + private val mMessageReceiver: BroadcastReceiver = object : BroadcastReceiver() { + override fun onReceive(context: Context?, intent: Intent?) { + val location = intent?.getDoubleArrayExtra("location") + //val long = intent?.getDoubleExtra("long", 0.0) + Log.d("location log", "${location?.get(0)}, ${location?.get(1)}") + // Toast.makeText(context, message, Toast.LENGTH_SHORT).show(); + } + } + + override fun onMapReady(p0: NaverMap) { + + } + + private fun saveUserKeys() { + val dementiaKey = getUserKey("dementia") + homeViewModel.setDementiaKey(dementiaKey) + locationHistoryViewModel.setDementiaKey(dementiaKey) + safeAreaViewModel.setDementiaKey(dementiaKey) + + val nokKey = getUserKey("nok") + homeViewModel.setNokKey(nokKey) + settingViewModel.setNokKey(nokKey) + } + + private fun stopHomeFragmentJob() { + stopGetDementiaLocation() + homeViewModel.eventHomeState(isPredicted = false) + } + + private fun clearLocationFragmentUI() { + locationHistoryViewModel.setIsMultipleSelected(false) + locationHistoryViewModel.setMaxProgress(0) + + with(locationHistoryMetaData) { + paths.forEach { + it.map = null + } + //path = null + markers.forEach { + it.map = null + } + } + } + + private fun setBottomSheetBehaviorForFirstNavigationEvent(index: Int) { + if (isFirstNavigationEvent[index]) { + isFirstNavigationEvent[index] = false + + behavior.state = if (index == HOME) { + BottomSheetBehavior.STATE_COLLAPSED + } else { + BottomSheetBehavior.STATE_HALF_EXPANDED + } + } + } + + companion object { + const val LAST_LOCATION = 0 + const val MEANINGFUL_PLACE = 0 + const val HOME = 1 + const val SAFE_AREA = 2 + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/NokMainViewModel.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/NokMainViewModel.kt new file mode 100644 index 00000000..1aed5a04 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/NokMainViewModel.kt @@ -0,0 +1,15 @@ +package kr.ac.tukorea.whereareu.presentation.nok + +import androidx.lifecycle.ViewModel +import kotlinx.coroutines.flow.MutableStateFlow +import kotlinx.coroutines.flow.asStateFlow +import kr.ac.tukorea.whereareu.R + +class NokMainViewModel: ViewModel() { + private val _currentNavigationDestination = MutableStateFlow(R.id.nokHomeFragment) + val currentNavigationDestination = _currentNavigationDestination.asStateFlow() + + fun setCurrentNavigationDestination(destination: Int){ + _currentNavigationDestination.value = destination + } +} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/CalendarDialogFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/CalendarDialogFragment.kt index 3833787a..3e9f4745 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/CalendarDialogFragment.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/CalendarDialogFragment.kt @@ -5,6 +5,7 @@ import androidx.fragment.app.activityViewModels import androidx.fragment.app.viewModels import com.prolificinteractive.materialcalendarview.CalendarDay import com.prolificinteractive.materialcalendarview.format.ArrayWeekDayFormatter +import kotlinx.coroutines.flow.collect import kr.ac.tukorea.whereareu.R import kr.ac.tukorea.whereareu.databinding.DialogCalendarBinding import kr.ac.tukorea.whereareu.presentation.base.BaseDialogFragment @@ -13,6 +14,7 @@ import kr.ac.tukorea.whereareu.util.calendar.SaturdayDecorator import kr.ac.tukorea.whereareu.util.calendar.SelectedMonthDecorator import kr.ac.tukorea.whereareu.util.calendar.SundayDecorator import kr.ac.tukorea.whereareu.util.calendar.TodayDecorator +import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted import java.time.LocalDate class CalendarDialogFragment: BaseDialogFragment(R.layout.dialog_calendar) { @@ -24,7 +26,11 @@ class CalendarDialogFragment: BaseDialogFragment(R.layout this.onCalendarClickListener = listener } override fun initObserver() { + repeatOnStarted { + viewModel.selectedDates.collect{ + } + } } override fun initView() { diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/CalendarDialogViewModel.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/CalendarDialogViewModel.kt index 0de53303..6c52a3ab 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/CalendarDialogViewModel.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/CalendarDialogViewModel.kt @@ -1,8 +1,12 @@ package kr.ac.tukorea.whereareu.presentation.nok.history +import android.util.Log import androidx.lifecycle.ViewModel +import androidx.lifecycle.viewModelScope +import kotlinx.coroutines.flow.MutableSharedFlow import kotlinx.coroutines.flow.MutableStateFlow import kotlinx.coroutines.flow.asStateFlow +import kotlinx.coroutines.launch import org.threeten.bp.LocalDate class CalendarDialogViewModel: ViewModel() { @@ -12,14 +16,16 @@ class CalendarDialogViewModel: ViewModel() { val selectedDate = MutableStateFlow(LocalDate.MIN) val selectedDate2 = MutableStateFlow(LocalDate.MIN) - val selectedDates = MutableStateFlow(listOf()) + val selectedDates = MutableSharedFlow>() fun setIsMultipleSelected(isMultipleSelected: Boolean){ _isMultipleSelected.value = isMultipleSelected } fun setSelectedDates(dates: List){ - selectedDates.value = dates + viewModelScope.launch { + selectedDates.emit(dates) + } } @@ -30,4 +36,9 @@ class CalendarDialogViewModel: ViewModel() { fun setSelectedDate2(date: LocalDate){ selectedDate2.value = date } + + override fun onCleared() { + super.onCleared() + Log.d("dialog viewmodel", "mvlak") + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/LocationHistoryFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/LocationHistoryFragment.kt index b8859356..7ad66bec 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/LocationHistoryFragment.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/LocationHistoryFragment.kt @@ -6,20 +6,22 @@ import android.util.DisplayMetrics import android.util.Log import android.widget.SeekBar import android.widget.SeekBar.OnSeekBarChangeListener +import android.widget.Toast import androidx.fragment.app.activityViewModels import androidx.fragment.app.viewModels +import androidx.lifecycle.lifecycleScope import androidx.recyclerview.widget.DividerItemDecoration import androidx.recyclerview.widget.LinearLayoutManager import androidx.recyclerview.widget.LinearSmoothScroller import dagger.hilt.android.AndroidEntryPoint import kotlinx.coroutines.delay +import kotlinx.coroutines.launch import kr.ac.tukorea.whereareu.R import kr.ac.tukorea.whereareu.databinding.FragmentLocationHistoryBinding import kr.ac.tukorea.whereareu.domain.history.LocationHistory import kr.ac.tukorea.whereareu.presentation.base.BaseFragment import kr.ac.tukorea.whereareu.presentation.nok.history.adapter.LocationHistoryRVA import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted -import kr.ac.tukorea.whereareu.util.extension.showToastShort import org.threeten.bp.DayOfWeek import org.threeten.bp.LocalDate @@ -56,13 +58,15 @@ class LocationHistoryFragment : repeatOnStarted { viewModel.locationHistoryEvent.collect { event -> + Log.d("locationHistoryEvent", event.toString()) when (event) { LocationHistoryViewModel.LocationHistoryEvent.FetchFail -> { dismissLoadingDialog() - requireActivity().showToastShort( + /*requireActivity().showToastShort( requireContext(), "선택한 날짜에 해당하는 위치 기록이\n존재하지 않습니다." - ) + )*/ + Toast.makeText(requireContext(), "선택한 날짜에 해당하는 위치 기록이 존재하지 않습니다.", Toast.LENGTH_SHORT).show() viewModel.setIsMultipleSelected(false) } @@ -76,7 +80,7 @@ class LocationHistoryFragment : } is LocationHistoryViewModel.LocationHistoryEvent.FetchSuccessMultiple -> { - syncSeekBarWithSingleLocationHistory(event.locationHistory[0], event.locationHistory[1]) + syncSeekBarWithMultipleLocationHistory(event.locationHistory[0], event.locationHistory[1]) } else -> {} } @@ -98,6 +102,7 @@ class LocationHistoryFragment : viewModel.fetchSingleLocationHistory(dates[0].toString()) } else { + binding.dateTv.text = "위치 기록 비교" viewModel.setIsMultipleSelected(true) viewModel.fetchMultipleLocationHistory(dates[0].toString(), dates[1].toString()) binding.dateInfoTv.text = dates[0].toString() @@ -115,6 +120,12 @@ class LocationHistoryFragment : } } } + + repeatOnStarted { + viewModel.isMultipleSelected.collect{ + Log.d("isMultip", it.toString()) + } + } } override fun initView() { @@ -193,7 +204,7 @@ class LocationHistoryFragment : } - private fun syncSeekBarWithSingleLocationHistory( + private fun syncSeekBarWithMultipleLocationHistory( locationHistoryList: List, locationHistoryList2: List ) { @@ -236,7 +247,10 @@ class LocationHistoryFragment : @SuppressLint("ClickableViewAccessibility") private fun initLocationHistoryRVA() { + val layoutManager = LinearLayoutManager(requireContext()) + layoutManager.orientation = LinearLayoutManager.HORIZONTAL binding.rv.apply { + setLayoutManager(layoutManager) adapter = locationHistoryRVA addItemDecoration( DividerItemDecoration( @@ -266,13 +280,6 @@ class LocationHistoryFragment : viewModel.setIsLoading(false) } - - override fun onStop() { - super.onStop() - dialogViewModel.setSelectedDates(emptyList()) - viewModel.setMaxProgress(0) - } - private fun translateDayOfWeekInKorean(dayOfWeek: DayOfWeek): String { return when (dayOfWeek) { DayOfWeek.MONDAY -> "월요일" diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/LocationHistoryViewModel.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/LocationHistoryViewModel.kt index e6bf6ae0..536c2251 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/LocationHistoryViewModel.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/LocationHistoryViewModel.kt @@ -27,12 +27,6 @@ class LocationHistoryViewModel @Inject constructor( private val _locationHistoryEvent = MutableSharedFlow() val locationHistoryEvent = _locationHistoryEvent.asSharedFlow() - private val _progress = MutableStateFlow(0) - val progress = _progress.asStateFlow() - - private val _progress2 = MutableStateFlow(0) - val progress2 = _progress2.asStateFlow() - private val _maxProgress = MutableStateFlow(0) val maxProgress = _maxProgress.asStateFlow() @@ -66,12 +60,10 @@ class LocationHistoryViewModel @Inject constructor( fun setProgress(progress: Int) { eventLocationHistory(LocationHistoryEvent.OnProgressChanged(progress)) - //_progress.value = progress } fun setProgress2(progress: Int){ eventLocationHistory(LocationHistoryEvent.OnProgress2Changed(progress)) - //_progress2.value = progress } fun setMaxProgress(maxProgress: Int) { @@ -103,7 +95,7 @@ class LocationHistoryViewModel @Inject constructor( viewModelScope.launch { val list = listOf( async { fetchLocationHistory(date1) }, async { fetchLocationHistory(date2) }).awaitAll() - if (list.isNotEmpty()){ + if (list[0].isNotEmpty() && list[1].isNotEmpty()){ eventLocationHistory(LocationHistoryEvent.FetchSuccessMultiple(list)) _maxProgress.value = list[0].indices.last _maxProgress2.value = list[1].indices.last diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/adapter/LocationHistoryRVA.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/adapter/LocationHistoryRVA.kt index 5fd32349..a60fb609 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/adapter/LocationHistoryRVA.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/history/adapter/LocationHistoryRVA.kt @@ -37,7 +37,6 @@ class LocationHistoryRVA(): ListAdapter(R.layout.fragment_meaningful_place_detail), + PoliceStationRVA.PoliceStationRVAClickListener { + private val navigator: NavController by lazy { + findNavController() + } + private val args: MeaningfulPlaceDetailFragmentArgs by navArgs() + private val viewModel: NokHomeViewModel by activityViewModels() + private val policeStationRVA = PoliceStationRVA() + private val timeInfoRVA = TimeInfoRVA() + override fun initObserver() { + } + + override fun initView() { + Log.d("args meanigfulPlace", args.meaningfulPlace.toString()) + binding.backBtn.setOnClickListener { + navigator.popBackStack() + } + + binding.addressTv.text = args.meaningfulPlace.address + + val timeInfoList = + groupTimeInfoList(args.meaningfulPlace.timeInfo.groupBy { it.dayOfTheWeek }) + Log.d("timeInfoList", timeInfoList.toString()) + + initRVA() + initRadioGroup() + } + + private fun initRVA() { + with(binding) { + policeStationRVA.setPoliceStationRVAClickListener(this@MeaningfulPlaceDetailFragment) + policeRv.adapter = policeStationRVA + policeStationRVA.submitList(args.meaningfulPlace.policeStationInfo) + args.meaningfulPlace.timeInfo + + } + } + + private fun initRadioGroup() { + val timeInfoList = + groupTimeInfoList(args.meaningfulPlace.timeInfo.groupBy { it.dayOfTheWeek }) + val dayOfWeek = getCurrentWeek() + Log.d("dayOfWeek", dayOfWeek.toString()) + binding.radioGroup.check(dayOfWeek) + binding.timeInfoTv.text = getTimeInfoOfDayOfWeek(timeInfoList, dayOfWeek) + + binding.radioGroup.setOnCheckedChangeListener { group, checkedId -> + binding.timeInfoTv.text = getTimeInfoOfDayOfWeek(timeInfoList, checkedId) + } + } + + private fun getTimeInfoOfDayOfWeek( + groupedTimeInfo: List, + checkedId: Int + ): String { + val dayOfWeek = when (checkedId) { + R.id.monday -> "Monday" + R.id.tuesday -> "Tuesday" + R.id.wednesday -> "Wednesday" + R.id.thursday -> "Thursday" + R.id.friday -> "Friday" + R.id.saturday -> "Saturday" + R.id.sunday -> "Sunday" + else -> "" + } + + val text = StringBuilder() + val timeInfoList = groupedTimeInfo.filter { it.dayOfTheWeek == dayOfWeek } + return if (timeInfoList.isEmpty()) { + "방문 기록 없음" + } else { + val last = timeInfoList.first().timeList.last() + timeInfoList.first().timeList.forEach {time -> + if(time == last){ + text.append(time) + } else { + text.append("$time, ") + } + } + "시간 $text" + } + + } + + private fun getCurrentWeek(): Int { + val currentDate = Date() + val calendar: Calendar = Calendar.getInstance() + calendar.setTime(currentDate) + return when(calendar.get(Calendar.DAY_OF_WEEK)){ + 1 -> R.id.sunday + 2 -> R.id.monday + 3 -> R.id.tuesday + 4 -> R.id.wednesday + 5 -> R.id.thursday + 6 -> R.id.friday + 7 -> R.id.saturday + else -> 0 + } + } + + private fun convertDayOfWeekInKorean(day: String): String { + /*return when (day) { + "MONDAY" -> "월" + "TUESDAY" -> "화" + "WEDNESDAY" -> "수" + "THURSDAY" -> "목" + "FRIDAY" -> "금" + "SATURDAY" -> "토" + "SUNDAY" -> "일" + else -> "알 수 없음" + }*/ + + return when (day) { + "Monday" -> "월" + "Tuesday" -> "화" + "Wednesday" -> "수" + "Thursday" -> "목" + "Friday" -> "금" + "Saturday" -> "토" + "Sunday" -> "일" + else -> "알 수 없음" + } + } + + private fun convertTimeInKorean(time: String): String { + return "${time.substring(0 until 2)}시~${time.substring(2 until 4)}시" + } + + private fun groupTimeInfoList(timeInfoMap: Map>): List { + val groupedTimeInfoList = mutableListOf() + + val dayOfWeeks = timeInfoMap.keys + dayOfWeeks.forEach { dayOfWeek -> + //val korean = convertDayOfWeekInKorean(dayOfWeek) + val timeList = timeInfoMap[dayOfWeek]?.map { timeInfo -> + "${timeInfo.time.substring(0 until 2)}시 - ${ + timeInfo.time.substring(2 until 4) + }시" + } + groupedTimeInfoList.add(GroupedTimeInfo(dayOfWeek, timeList!!)) + } + + return groupedTimeInfoList + } + + override fun onClickMapView(policeStationInfo: PoliceStationInfo) { + viewModel.eventPredict( + NokHomeViewModel.PredictEvent.MapView( + BottomSheetBehavior.STATE_COLLAPSED, + policeStationInfo.latLng + ) + ) + } + + override fun onClickCopyPhoneNumber(phoneNumber: String) { + val clipboardManager = + requireContext().getSystemService(Context.CLIPBOARD_SERVICE) as ClipboardManager + clipboardManager.setPrimaryClip(ClipData.newPlainText("", phoneNumber)) + if (Build.VERSION.SDK_INT <= Build.VERSION_CODES.S_V2) { + requireActivity().showToastShort(requireContext(), "전화번호가 복사되었습니다.") + } + } + + override fun onClickCopyAddress(address: String) { + val clipboardManager = + requireContext().getSystemService(Context.CLIPBOARD_SERVICE) as ClipboardManager + clipboardManager.setPrimaryClip(ClipData.newPlainText("", address)) + if (Build.VERSION.SDK_INT <= Build.VERSION_CODES.S_V2) { + requireActivity().showToastShort(requireContext(), "주소가 복사되었습니다.") + } + } +} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/NokHomeFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/NokHomeFragment.kt index 635e1c94..0844cd8d 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/NokHomeFragment.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/NokHomeFragment.kt @@ -1,42 +1,54 @@ package kr.ac.tukorea.whereareu.presentation.nok.home -import android.content.ClipData -import android.content.ClipboardManager -import android.content.Context.CLIPBOARD_SERVICE import android.content.pm.PackageManager -import android.os.Build -import android.util.Log +import android.os.Bundle +import android.view.View import androidx.core.app.ActivityCompat import androidx.fragment.app.activityViewModels -import androidx.recyclerview.widget.DividerItemDecoration -import androidx.recyclerview.widget.LinearLayoutManager +import androidx.navigation.NavController +import androidx.navigation.fragment.findNavController import com.google.android.material.bottomsheet.BottomSheetBehavior import com.naver.maps.geometry.LatLng import dagger.hilt.android.AndroidEntryPoint import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.domain.home.InnerItemClickEvent -import kr.ac.tukorea.whereareu.domain.home.PoliceStationInfo +import kr.ac.tukorea.whereareu.databinding.FragmentHomeBinding +import kr.ac.tukorea.whereareu.domain.home.MeaningfulPlaceInfo import kr.ac.tukorea.whereareu.presentation.base.BaseFragment -import kr.ac.tukorea.whereareu.presentation.nok.home.adapter.PoliceStationRVA +import kr.ac.tukorea.whereareu.presentation.login.nok.NokIdentityFragmentDirections import kr.ac.tukorea.whereareu.presentation.nok.home.adapter.MeaningfulPlaceRVA import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted -import kr.ac.tukorea.whereareu.util.extension.showToastShort @AndroidEntryPoint -class NokHomeFragment : BaseFragment(R.layout.fragment_home), - MeaningfulPlaceRVA.MeaningfulPlaceRVAClickListener, PoliceStationRVA.PoliceStationRVAClickListener { +class NokHomeFragment : BaseFragment(R.layout.fragment_home), + MeaningfulPlaceRVA.MeaningfulPlaceRVAClickListener { private val viewModel: NokHomeViewModel by activityViewModels() + private val LOCATION_PERMISSION_REQUEST_CODE = 1001 private val meaningfulPlaceRVA by lazy { MeaningfulPlaceRVA() } + private val navigator: NavController by lazy { + findNavController() + } + + override fun onViewCreated(view: View, savedInstanceState: Bundle?) { + super.onViewCreated(view, savedInstanceState) + initObserver() + initView() + } override fun initObserver() { repeatOnStarted { viewModel.predictEvent.collect{ predictEvent -> handlePredictEvent(predictEvent) } } + + repeatOnStarted { + viewModel.meaningfulPlace.collect{ + meaningfulPlaceRVA.submitList(it) + } + } } private fun handlePredictEvent(event: NokHomeViewModel.PredictEvent){ @@ -45,11 +57,32 @@ class NokHomeFragment : BaseFragment { - Log.d("뭐고", event.meaningfulPlaceForList.toString()) - meaningfulPlaceRVA.submitList(event.meaningfulPlaceForList) - } + /*is NokHomeViewModel.PredictEvent.MeaningFulPlace -> { + if(meaningfulPlaceRVA.currentList.isEmpty()) { + Log.d("ds", "isEmpty") + meaningfulPlaceRVA.submitList(event.meaningfulPlaceForList) + } + else{ + Log.d("ds", "isNotEmpty") + } + }*/ + is NokHomeViewModel.PredictEvent.PredictLocation -> { + with(event.predictLocation){ + val address = meaningfulPlaceInfo.address + meaningfulPlaceInfo.latLng + binding.addressTv.text = address + val meaningfulPlaceInfo = MeaningfulPlaceInfo(address, emptyList(), meaningfulPlaceInfo.latLng, false, policeStationInfo) + + binding.mapViewBtn.setOnClickListener { + viewModel.eventPredict(NokHomeViewModel.PredictEvent.MapView(BottomSheetBehavior.STATE_COLLAPSED, meaningfulPlaceInfo.latLng)) + } + binding.infoViewBtn.setOnClickListener { + val action = NokHomeFragmentDirections.actionNokHomeFragmentToMeaningfulPlaceDetailFragment(meaningfulPlaceInfo) + navigator.navigate(action) + } + } + } else -> {} } } @@ -61,55 +94,16 @@ class NokHomeFragment : BaseFragment { - isHalfExpanded = true - } - BottomSheetBehavior.STATE_COLLAPSED and BottomSheetBehavior.STATE_HALF_EXPANDED-> { - isHalfExpanded = false - } - }*//* - } - - override fun onSlide(bottomSheet: View, slideOffset: Float) { - *//*if(isHalfExpanded && slideOffset < 0.351f){ - behavior.state = BottomSheetBehavior.STATE_COLLAPSED - }*//* - } - - }) - }*/ + override fun onResume() { + super.onResume() + viewModel.eventMeaningfulPlace() + viewModel.eventPredictLocation() + initMeaningfulListRVA() + } private fun checkLocationPermission() { if (ActivityCompat.checkSelfPermission( @@ -145,27 +139,14 @@ class NokHomeFragment : BaseFragment() val dementiaLocationInfo = _dementiaLocationInfo.asSharedFlow() val dementiaStatusInfo = MutableStateFlow(DementiaStatusInfo()) - private val _updateRate = MutableStateFlow(0L) - val updateRate = _updateRate.asStateFlow() + private val _updateRate = MutableSharedFlow() + val updateRate = _updateRate.asSharedFlow() - private val _isPredicted = MutableStateFlow(false) - val isPredicted = _isPredicted.asStateFlow() + val isPredicted = MutableStateFlow(false) + + private val _isPredictDone = MutableStateFlow(false) private val _dementiaKey = MutableStateFlow("") private val _nokKey = MutableStateFlow("") @@ -56,11 +57,17 @@ class NokHomeViewModel @Inject constructor( private val _dementiaName = MutableStateFlow("") val dementiaName = _dementiaName.asStateFlow() - private val _navigateEvent = MutableStateFlow(NavigateEvent.Home.toString()) - val navigateEvent = _navigateEvent.asStateFlow() + private val _navigateEvent = MutableSharedFlow() + val navigateEvent = _navigateEvent.asSharedFlow() + + val navigateEventToString = MutableStateFlow(NavigateEvent.Home.toString()) + + private val _tempMeaningfulPlace = MutableStateFlow>(emptyList()) - private val _innerItemClickEvent = MutableSharedFlow() - val innerItemClickEvent = _innerItemClickEvent.asSharedFlow() + val tempPredictLocation = MutableStateFlow(PredictLocation()) + + private val _meaningfulPlace = MutableSharedFlow>() + val meaningfulPlace = _meaningfulPlace.asSharedFlow() sealed class PredictEvent { data class StartPredict(val isPredicted: Boolean) : PredictEvent() @@ -69,8 +76,8 @@ class NokHomeViewModel @Inject constructor( ) : PredictEvent() data class PredictLocation( - val predictLocation: PredictLocationInfo - ): PredictEvent() + val predictLocation: kr.ac.tukorea.whereareu.domain.home.PredictLocation + ) : PredictEvent() data class DisplayDementiaLastInfo(val averageSpeed: Double, val coord: LatLng) : PredictEvent() @@ -80,32 +87,75 @@ class NokHomeViewModel @Inject constructor( data class SearchNearbyPoliceStation(val policeStationList: List) : PredictEvent() + data object PredictDone : PredictEvent() + + data class MapView(val behavior: Int, val coord: LatLng) : PredictEvent() + data class StopPredict(val isPredicted: Boolean) : PredictEvent() } - sealed interface NavigateEvent{ - data object Home: NavigateEvent - data object Setting: NavigateEvent - data object MeaningfulPlace: NavigateEvent - data object LocationHistory: NavigateEvent - data object SafeArea: NavigateEvent + sealed interface NavigateEvent { + data object Home : NavigateEvent + data object Setting : NavigateEvent + data object MeaningfulPlace : NavigateEvent + data object LocationHistory : NavigateEvent + data object SafeArea : NavigateEvent + + data object SafeAreaDetail: NavigateEvent + + data object SafeAreaSetting: NavigateEvent + data class HomeState(val isPredicted: Boolean, val isPredictDone: Boolean) : NavigateEvent } - fun eventNavigate(event: NavigateEvent){ + fun eventNavigate(event: NavigateEvent) { viewModelScope.launch { - _navigateEvent.value = event.toString() + if (event !is NavigateEvent.HomeState) { + navigateEventToString.value = event.toString() + } + if(event !is NavigateEvent.Home) { + _navigateEvent.emit(event) + } } } - private fun eventPredict(event: PredictEvent) { + fun eventPredict(event: PredictEvent) { viewModelScope.launch { _predictEvent.emit(event) } } - fun eventInnerItemClick(event: InnerItemClickEvent){ + fun eventHomeState(isPredicted: Boolean = this.isPredicted.value, isPredictDone: Boolean = _isPredictDone.value) { + this.isPredicted.value = isPredicted + _isPredictDone.value = isPredictDone + viewModelScope.launch { - _innerItemClickEvent.emit(event) + eventNavigate(NavigateEvent.HomeState(isPredicted, isPredictDone)) + if(isPredicted){ + if(!isPredictDone) { + eventPredict(PredictEvent.StartPredict(true)) + } + } else { + eventPredict(PredictEvent.StopPredict(false)) + } + } + } + + fun eventMeaningfulPlace() { + viewModelScope.launch { + if (_tempMeaningfulPlace.value.isEmpty()) { + Log.d("$tag eventMeaningfulPlace", "_meaningfulPlace isEmpty") + return@launch + } + _meaningfulPlace.emit(_tempMeaningfulPlace.value) + } + } + + fun eventPredictLocation(){ + viewModelScope.launch { + if(tempPredictLocation.value == PredictLocation() || ! isPredicted.value){ + return@launch + } + eventPredict(PredictEvent.PredictLocation(tempPredictLocation.value)) } } @@ -117,27 +167,18 @@ class NokHomeViewModel @Inject constructor( _nokKey.value = nokKey } - fun setUpdateRate(updateRate: Long){ - _updateRate.value = updateRate - } - - fun setIsPredicted(isPredicted: Boolean) { + fun setUpdateRate(updateRate: Long) { viewModelScope.launch { - _isPredicted.emit(isPredicted) - if (isPredicted) { - eventPredict(PredictEvent.StartPredict(true)) - } else { - eventPredict(PredictEvent.StopPredict(false)) - } + _updateRate.emit(updateRate) } } - fun fetchUserInfo(){ + fun fetchUserInfo() { viewModelScope.launch { nokHomeRepository.getUserInfo(_nokKey.value).onSuccess { _dementiaName.emit(it.dementiaInfoRecord.dementiaName) - _updateRate.value = it.nokInfoRecord.updateRate.toLong() - Log.d("fetchUserInfo", _updateRate.value.toString()) + _updateRate.emit(it.nokInfoRecord.updateRate.toLong()) + Log.d("$tag fetchUserInfo", it.toString()) } } } @@ -145,16 +186,21 @@ class NokHomeViewModel @Inject constructor( fun getDementiaLocation() { viewModelScope.launch { nokHomeRepository.getDementiaLocationInfo(_dementiaKey.value).onSuccess { + if (isPredicted.value) { + return@launch + } _dementiaLocationInfo.emit(it) dementiaStatusInfo.value = DementiaStatusInfo( it.userStatus, it.battery, it.isGpsOn, it.isInternetOn, it.isRingstoneOn ) + + Log.d("$tag getDementiaLocation", it.toString()) }.onError { - Log.d("error", it.toString()) + Log.d("$tag error", it.toString()) }.onException { - Log.d("exception", it.toString()) + Log.d("$tag exception", it.toString()) }.onFail { - Log.d("fail", it.toString()) + Log.d("$tag fail", it.toString()) } } } @@ -162,11 +208,11 @@ class NokHomeViewModel @Inject constructor( fun predict() { viewModelScope.launch { val time = measureTimeMillis { - val dementiaLastInfo = async { getDementiaLastInfo() }.await() - //Log.d("lastInfo", dementiaLastInfo.toString()) - val meaningfulPlaceList = async { getMeaningfulPlaces() }.await() - val predictLocation = async { fetchPredictInfoGura() }.await() - + async { getDementiaLastInfo() } + async { getMeaningfulPlaces() } + async { fetchPredictInfoGura() }.await() + eventPredict(PredictEvent.PredictDone) + eventHomeState(isPredicted = true, isPredictDone = true) } Log.d("after refactor time", time.toString()) } @@ -175,7 +221,7 @@ class NokHomeViewModel @Inject constructor( private suspend fun getDementiaLastInfo() { nokHomeRepository.getDementiaLastInfo(DementiaKeyRequest(_dementiaKey.value)) .onSuccess { response -> - Log.d("last info", response.toString()) + Log.d("$tag getDementiaLastInfo", response.toString()) val averageSpeed = response.averageSpeed.div(3.6) val latLng = LatLng(response.lastLatitude, response.lastLongitude) @@ -187,14 +233,15 @@ class NokHomeViewModel @Inject constructor( ) ) }.onException { - Log.d("error", it.toString()) + Log.d("$tag error", it.toString()) } } + private suspend fun getMeaningfulPlaces() { nokHomeRepository.getMeaningfulPlace(_dementiaKey.value).onSuccess { response -> - Log.d("getMeaningfulPlace", response.toString()) + Log.d("$tag getMeaningfulPlaces", response.toString()) val meaningfulPlaceInfo = response.meaningfulPlaces.map { meaningfulPlace -> - val policeStationInfo = meaningfulPlace.policeStationInfo.map {policeStation -> + val policeStationInfo = meaningfulPlace.policeStationInfo.map { policeStation -> policeStation.toModel() } eventPredict(PredictEvent.SearchNearbyPoliceStation(policeStationInfo)) @@ -202,22 +249,56 @@ class NokHomeViewModel @Inject constructor( } eventPredict(PredictEvent.MeaningFulPlace(meaningfulPlaceInfo)) + _tempMeaningfulPlace.value = meaningfulPlaceInfo + _meaningfulPlace.emit(meaningfulPlaceInfo) }.onException { - Log.d("error", it.toString()) + Log.d("$tag error", it.toString()) } } - private suspend fun fetchPredictInfo(){ + private suspend fun fetchPredictInfo() { nokHomeRepository.fetchPredictInfo(_dementiaKey.value).onSuccess { response -> - eventPredict(PredictEvent.PredictLocation(response.predictLocation)) + Log.d("$tag fetchPredictInfo", response.toString()) + with(response) { + val policeStationInfo = policeInfo.map { it.toModel() } + val meaningfulPlace = MeaningfulPlaceInfo( + predictLocation.address, + emptyList(), + LatLng( + predictLocation.latitude.toDouble(), + predictLocation.longitude.toDouble() + ), + false, + policeStationInfo + ) + val predictLocation = PredictLocation(meaningfulPlace, policeStationInfo) + eventPredict(PredictEvent.PredictLocation(predictLocation)) + tempPredictLocation.value = predictLocation + } }.onException { Log.d("predict exception", it.toString()) } } - private suspend fun fetchPredictInfoGura(){ + private suspend fun fetchPredictInfoGura() { nokHomeRepository.fetchPredictInfoGura(_dementiaKey.value).onSuccess { response -> - eventPredict(PredictEvent.PredictLocation(response.predictLocation)) + Log.d("$tag fetchPredictInfoGura", response.toString()) + with(response) { + val policeStationInfo = policeInfo.map { it.toModel() } + val meaningfulPlace = MeaningfulPlaceInfo( + predictLocation.address, + emptyList(), + LatLng( + predictLocation.latitude.toDouble(), + predictLocation.longitude.toDouble() + ), + false, + policeStationInfo + ) + val predictLocation = PredictLocation(meaningfulPlace, policeStationInfo) + eventPredict(PredictEvent.PredictLocation(predictLocation)) + tempPredictLocation.value = predictLocation + } }.onException { Log.d("predict exception", it.toString()) } diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/adapter/MeaningfulPlaceRVA.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/adapter/MeaningfulPlaceRVA.kt index 95337157..3fa7c31e 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/adapter/MeaningfulPlaceRVA.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/adapter/MeaningfulPlaceRVA.kt @@ -30,12 +30,10 @@ class MeaningfulPlaceRVA : } }) { - private var policeStationRVAClickListener: PoliceStationRVA.PoliceStationRVAClickListener? = null private var meaningfulPlaceRVAClickListener: MeaningfulPlaceRVAClickListener? = null //RVA 클릭 리스너 초기화 - fun setRVAClickListener(outerListener: MeaningfulPlaceRVAClickListener, innerListener: PoliceStationRVA.PoliceStationRVAClickListener){ - policeStationRVAClickListener = innerListener + fun setRVAClickListener(outerListener: MeaningfulPlaceRVAClickListener){ meaningfulPlaceRVAClickListener = outerListener } @@ -45,27 +43,14 @@ class MeaningfulPlaceRVA : with(binding) { model = meaningfulPlace - moreViewBtn.setOnClickListener { - meaningfulPlace.isExpanded = meaningfulPlace.isExpanded.not() - notifyItemChanged(bindingAdapterPosition) - Log.d("isExpanded", meaningfulPlace.isExpanded.toString()) - } - mapViewBtn.setOnClickListener { meaningfulPlaceRVAClickListener?.onClickMapView(meaningfulPlace.latLng) } - val policeStationRVA = PoliceStationRVA() - policeStationRVA.setPoliceStationRVAClickListener(policeStationRVAClickListener!!) - policeRv.adapter = policeStationRVA - policeStationRVA.submitList(meaningfulPlace.policeStationInfo) - - val timeInfoRVA = TimeInfoRVA() - timeInfoRv.adapter = timeInfoRVA - val timeInfo = meaningfulPlace.timeInfo.map {info -> - TimeInfo(convertDayOfWeekInKorean(info.dayOfTheWeek), convertTimeInKorean(info.time)) + infoViewBtn.setOnClickListener { + meaningfulPlaceRVAClickListener?.onClickInfoView(meaningfulPlace) } - timeInfoRVA.submitList(timeInfo) + } } } @@ -102,13 +87,13 @@ class MeaningfulPlaceRVA : private fun convertDayOfWeekInKorean(day: String): String { return when (day) { - "Monday" -> "월요일" - "Tuesday" -> "화요일" - "Wednesday" -> "수요일" - "Thursday" -> "목요일" - "Friday" -> "금요일" - "Saturday" -> "토요일" - "Sunday" -> "일요일" + "Monday" -> "월" + "Tuesday" -> "화" + "Wednesday" -> "수" + "Thursday" -> "목" + "Friday" -> "금" + "Saturday" -> "토" + "Sunday" -> "일" else -> "알 수 없음" } } @@ -119,5 +104,6 @@ class MeaningfulPlaceRVA : interface MeaningfulPlaceRVAClickListener{ fun onClickMapView(latLng: LatLng) + fun onClickInfoView(meaningfulPlace: MeaningfulPlaceInfo) } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/adapter/PoliceStationRVA.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/adapter/PoliceStationRVA.kt index 4fb39d6f..fc7fb5e2 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/adapter/PoliceStationRVA.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/adapter/PoliceStationRVA.kt @@ -42,7 +42,7 @@ class PoliceStationRVA() : model = policeStationInfo mapViewBtn.setOnClickListener { - policeStationRVAClickListener?.onClickMoreView(policeStationInfo) + policeStationRVAClickListener?.onClickMapView(policeStationInfo) } copyPhoneNumberBtn.setOnClickListener { @@ -73,7 +73,7 @@ class PoliceStationRVA() : holder.bind(currentList[position]) } interface PoliceStationRVAClickListener { - fun onClickMoreView(policeStationInfo: PoliceStationInfo) + fun onClickMapView(policeStationInfo: PoliceStationInfo) fun onClickCopyPhoneNumber(phoneNumber: String) fun onClickCopyAddress(address: String) } diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/adapter/TimeInfoRVA.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/adapter/TimeInfoRVA.kt index 72e50c9b..e029044e 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/adapter/TimeInfoRVA.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/home/adapter/TimeInfoRVA.kt @@ -1,27 +1,32 @@ package kr.ac.tukorea.whereareu.presentation.nok.home.adapter +import android.content.Context import android.util.Log import android.view.LayoutInflater import android.view.ViewGroup +import androidx.core.content.ContextCompat import androidx.recyclerview.widget.DiffUtil import androidx.recyclerview.widget.ListAdapter import androidx.recyclerview.widget.RecyclerView +import kr.ac.tukorea.whereareu.R import kr.ac.tukorea.whereareu.data.model.nok.home.TimeInfo import kr.ac.tukorea.whereareu.databinding.ItemTimeInfoBinding +import kr.ac.tukorea.whereareu.domain.home.GroupedTimeInfo +import java.lang.StringBuilder -class TimeInfoRVA(): ListAdapter( +class TimeInfoRVA(): ListAdapter( object : - DiffUtil.ItemCallback() { + DiffUtil.ItemCallback() { override fun areItemsTheSame( - oldItem: TimeInfo, - newItem: TimeInfo + oldItem: GroupedTimeInfo, + newItem: GroupedTimeInfo ): Boolean { return oldItem === newItem } override fun areContentsTheSame( - oldItem: TimeInfo, - newItem: TimeInfo + oldItem: GroupedTimeInfo, + newItem: GroupedTimeInfo ): Boolean { return oldItem == newItem } @@ -29,10 +34,21 @@ class TimeInfoRVA(): ListAdapter( }) { inner class TimeInfoViewHolder(private val binding: ItemTimeInfoBinding) : RecyclerView.ViewHolder(binding.root) { - fun bind(timeInfo: TimeInfo) { + fun bind(timeInfo: GroupedTimeInfo) { Log.d("police station info", timeInfo.toString()) with(binding) { model = timeInfo + val time = StringBuilder() + val timeList = timeInfo.timeList.sortedBy { it } + val last = timeList.get(timeList.lastIndex) + timeList.forEach { + if(it == last){ + time.append(it) + } else { + time.append("$it, ") + } + } + timeTv.text = time } } } diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/CreateSafeAreaGroupDialogFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/CreateSafeAreaGroupDialogFragment.kt new file mode 100644 index 00000000..0a530f65 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/CreateSafeAreaGroupDialogFragment.kt @@ -0,0 +1,40 @@ +package kr.ac.tukorea.whereareu.presentation.nok.safearea + +import androidx.fragment.app.activityViewModels +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.databinding.DialogCreateSafeAreaGroupBinding +import kr.ac.tukorea.whereareu.presentation.base.BaseDialogFragment +import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted +import kr.ac.tukorea.whereareu.util.extension.showToast +import kr.ac.tukorea.whereareu.util.extension.showToastShort + +class CreateSafeAreaGroupDialogFragment: BaseDialogFragment(R.layout.dialog_create_safe_area_group) { + private val viewModel: SafeAreaViewModel by activityViewModels() + override fun initObserver() { + repeatOnStarted { + viewModel.safeAreaEvent.collect{ + when(it){ + is SafeAreaViewModel.SafeAreaEvent.CreateSafeAreaGroup -> { + dismiss() + } + else -> {} + } + } + } + } + + override fun initView() { + binding.cancelBtn.setOnClickListener { + dismiss() + } + + binding.doneBtn.setOnClickListener { + val groupName = binding.groupNameEt.text.toString() + if(groupName.isEmpty()){ + requireContext().showToast(requireContext(), "그룹 이름을 입력해주세요.") + } else { + viewModel.registerSafeAreaGroup(binding.groupNameEt.text.toString()) + } + } + } +} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SafeAreaDetailFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SafeAreaDetailFragment.kt new file mode 100644 index 00000000..ea495017 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SafeAreaDetailFragment.kt @@ -0,0 +1,59 @@ +package kr.ac.tukorea.whereareu.presentation.nok.safearea + +import android.util.Log +import androidx.fragment.app.activityViewModels +import androidx.navigation.NavArgs +import androidx.navigation.NavController +import androidx.navigation.fragment.findNavController +import androidx.navigation.fragment.navArgs +import dagger.hilt.android.AndroidEntryPoint +import kotlinx.coroutines.delay +import kotlinx.coroutines.flow.collect +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.databinding.FragmentSafeAreaDetailBinding +import kr.ac.tukorea.whereareu.domain.safearea.SafeArea +import kr.ac.tukorea.whereareu.presentation.base.BaseFragment +import kr.ac.tukorea.whereareu.presentation.nok.safearea.adapter.SafeAreaDetailRVA +import kr.ac.tukorea.whereareu.presentation.nok.safearea.adapter.SafeAreaRVA +import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted + +@AndroidEntryPoint +class SafeAreaDetailFragment: BaseFragment(R.layout.fragment_safe_area_detail) { + private val viewModel: SafeAreaViewModel by activityViewModels() + private val navigator: NavController by lazy { + findNavController() + } + private val safeAreaRVA: SafeAreaDetailRVA by lazy { + SafeAreaDetailRVA() + } + private val args: SafeAreaDetailFragmentArgs by navArgs() + override fun initObserver() { + repeatOnStarted { + viewModel.safeAreaEvent.collect{ + when(it){ + is SafeAreaViewModel.SafeAreaEvent.FetchSafeAreaGroup -> { + Log.d("test", it.toString()) + safeAreaRVA.submitList(it.safeAreas) + } + else -> {} + } + } + } + } + + override fun initView() { + initRVA() + viewModel.fetchSafeAreaGroup(args.groupKey) + binding.backBtn.setOnClickListener { + navigator.popBackStack() + } + + } + + private fun initRVA(){ + binding.rv.apply { + adapter = safeAreaRVA + itemAnimator = null + } + } +} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SafeAreaFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SafeAreaFragment.kt new file mode 100644 index 00000000..a6a71f22 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SafeAreaFragment.kt @@ -0,0 +1,111 @@ +package kr.ac.tukorea.whereareu.presentation.nok.safearea + +import androidx.fragment.app.activityViewModels +import androidx.navigation.NavController +import androidx.navigation.fragment.findNavController +import com.google.android.material.bottomsheet.BottomSheetBehavior +import com.naver.maps.geometry.LatLng +import dagger.hilt.android.AndroidEntryPoint +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.data.model.nok.safearea.SafeAreaGroup +import kr.ac.tukorea.whereareu.databinding.FragmentSafeAreaBinding +import kr.ac.tukorea.whereareu.presentation.base.BaseFragment +import kr.ac.tukorea.whereareu.presentation.nok.safearea.adapter.SafeAreaRVA +import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted + +@AndroidEntryPoint +class SafeAreaFragment : BaseFragment(R.layout.fragment_safe_area), SafeAreaRVA.SafeRVAClickListener { + private val viewModel: SafeAreaViewModel by activityViewModels() + private val navigator: NavController by lazy { + findNavController() + } + private val safeAreaRVA: SafeAreaRVA by lazy { + SafeAreaRVA() + } + override fun initObserver() { + repeatOnStarted { + viewModel.safeAreaEvent.collect{event -> + handleSafeAreaEvent(event) + } + } + + } + override fun initView() { + initSafeAreaRVA() + showCreateSafeAreaGroupDialog() + setSafeArea() + /*viewModel.registerSafeArea( + RegisterSafeAreaRequest( + "253050", + "테스트 그룹", + "테스트 지역", + 37.4016759, + 126.9341057, + 100 + ) + )*/ + /*binding.tv.setOnClickListener { + navigator.navigate(R.id.safeAreaDetailFragment) + }*/ + + } + + override fun onResume() { + super.onResume() + //showLoadingDialog(requireContext(), "안심구역을 불러오고 있습니다.") + viewModel.fetchSafeAreaAll() + } + + private fun initSafeAreaRVA(){ + binding.rv.apply { + adapter = safeAreaRVA + itemAnimator = null + } + safeAreaRVA.setSafeRVAClickListener(this) + } + + private fun handleSafeAreaEvent(event: SafeAreaViewModel.SafeAreaEvent){ + when(event){ + is SafeAreaViewModel.SafeAreaEvent.FetchSafeArea -> { + safeAreaRVA.submitList(event.groupList, kotlinx.coroutines.Runnable { + dismissLoadingDialog() + }) + } + + is SafeAreaViewModel.SafeAreaEvent.MapView -> {} + is SafeAreaViewModel.SafeAreaEvent.SettingSafeArea -> {} + is SafeAreaViewModel.SafeAreaEvent.RadiusChange -> { + } + /*is SafeAreaViewModel.SafeAreaEvent.CreateSafeAreaGroup -> { + val newGroup = SafeAreaGroup(event.groupName, "") + safeAreaRVA.submitList(safeAreaRVA.currentList.toMutableList().apply { + add(newGroup) + }) + }*/ + + else -> {} + } + } + + private fun showCreateSafeAreaGroupDialog(){ + binding.createGroupBtn.setOnClickListener { + val dialog = CreateSafeAreaGroupDialogFragment() + dialog.show(childFragmentManager, dialog.tag) + } + } + + private fun setSafeArea(){ + binding.setSafeAreaTv.setOnClickListener { + viewModel.setIsSettingSafeAreaStatus(true) + } + } + + override fun onClickMapView(latLng: LatLng) { + viewModel.eventSafeArea(SafeAreaViewModel.SafeAreaEvent.MapView(BottomSheetBehavior.STATE_COLLAPSED, latLng)) + } + + override fun onClickInfoView(groupKey: String) { + val action = SafeAreaFragmentDirections.actionSafeAreaFragmentToSafeAreaDetailFragment(groupKey) + navigator.navigate(action) + } +} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SafeAreaViewModel.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SafeAreaViewModel.kt new file mode 100644 index 00000000..7a96a283 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SafeAreaViewModel.kt @@ -0,0 +1,229 @@ +package kr.ac.tukorea.whereareu.presentation.nok.safearea + +import android.util.Log +import androidx.lifecycle.SavedStateHandle +import androidx.lifecycle.ViewModel +import androidx.lifecycle.viewModelScope +import com.naver.maps.geometry.LatLng +import dagger.hilt.android.lifecycle.HiltViewModel +import kotlinx.coroutines.delay +import kotlinx.coroutines.flow.MutableSharedFlow +import kotlinx.coroutines.flow.MutableStateFlow +import kotlinx.coroutines.flow.asSharedFlow +import kotlinx.coroutines.flow.asStateFlow +import kotlinx.coroutines.flow.filter +import kotlinx.coroutines.launch +import kr.ac.tukorea.whereareu.data.model.nok.safearea.GetCoordRequest +import kr.ac.tukorea.whereareu.data.model.nok.safearea.RegisterSafeAreaGroupRequest +import kr.ac.tukorea.whereareu.data.model.nok.safearea.RegisterSafeAreaRequest +import kr.ac.tukorea.whereareu.data.model.nok.safearea.SafeAreaDto +import kr.ac.tukorea.whereareu.data.model.nok.safearea.SafeAreaGroup +import kr.ac.tukorea.whereareu.data.repository.kakao.KakaoRepositoryImpl +import kr.ac.tukorea.whereareu.data.repository.nok.safearea.SafeAreaRepositoryImpl +import kr.ac.tukorea.whereareu.util.network.onException +import kr.ac.tukorea.whereareu.util.network.onSuccess +import javax.inject.Inject + +@HiltViewModel +class SafeAreaViewModel@Inject constructor( + private val repository: SafeAreaRepositoryImpl, +) : ViewModel() { + + private val _dementiaKey = MutableStateFlow("") + + private val _safeAreaEvent = MutableSharedFlow() + val safeAreaEvent = _safeAreaEvent.asSharedFlow() + + val isSettingSafeArea = MutableStateFlow(false) + + private val _safeAreaRadius = MutableSharedFlow() + val safeAreaRadius = _safeAreaRadius.asSharedFlow() + + private val _safeAreaGroupList = MutableStateFlow>(emptyList()) + + private val _isSafeAreaGroupChanged = MutableStateFlow(true) + val isSafeAreaGroupChanged = _isSafeAreaGroupChanged.asStateFlow() + + private val _selectedSafeAreaGroup = MutableStateFlow(SafeAreaGroup("", "")) + val selectedSafeAreaGroup = _selectedSafeAreaGroup.asStateFlow() + + val settingSafeAreaName = MutableStateFlow("") + + private val _settingSafeAreaRadius = MutableStateFlow(0.5f) + val settingSafeAreaRadius = _settingSafeAreaRadius.asStateFlow() + + private val _settingSafeAreaLatLng = MutableStateFlow(LatLng(0.0,0.0)) + val settingSafeAreaLatLng = _settingSafeAreaLatLng.asStateFlow() + + + sealed class SafeAreaEvent{ + data class FetchSafeArea(val groupList: List): SafeAreaEvent() + + data class FetchSafeAreaGroup(val safeAreas: List): SafeAreaEvent() + + data class MapView(val behavior: Int, val coord: LatLng) : SafeAreaEvent() + + data class RadiusChange(val radius: String): SafeAreaEvent() + + data class ChangeSafeAreaGroup(val groupName: String): SafeAreaEvent() + + data class SettingSafeArea(val isSettingSafeArea: Boolean): SafeAreaEvent() + + data class CreateSafeAreaGroup(val groupName: String): SafeAreaEvent() + data object SuccessRegisterSafeArea: SafeAreaEvent() + data class FailRegisterSafeArea(val message: String): SafeAreaEvent() + + data class FetchCoord(val coord: LatLng): SafeAreaEvent() + } + + fun setIsSafeAreaGroupChanged(isSafeAreaGroupChanged: Boolean){ + _isSafeAreaGroupChanged.value = isSafeAreaGroupChanged + } + + fun setIsSettingSafeAreaStatus(isSettingSafeArea: Boolean){ + this.isSettingSafeArea.value = isSettingSafeArea + eventSafeArea(SafeAreaEvent.SettingSafeArea(this.isSettingSafeArea.value)) + } + + fun setDementiaKey(dementiaKey: String) { + _dementiaKey.value = dementiaKey + } + + fun setSafeAreaRadius(radius: String){ + eventSafeArea(SafeAreaEvent.RadiusChange(radius)) + _settingSafeAreaRadius.value = radius.toFloat() + } + + fun setSettingSafeAreaLatLng(coord: LatLng){ + _settingSafeAreaLatLng.value = coord + } + + fun eventSafeArea(event: SafeAreaEvent){ + viewModelScope.launch{ + _safeAreaEvent.emit(event) + } + } + + fun registerSafeArea() { + viewModelScope.launch { + if (settingSafeAreaName.value.isEmpty()){ + eventSafeArea(SafeAreaEvent.FailRegisterSafeArea("안심구역 이름을 입력해주세요.")) + return@launch + } + repository.registerSafeArea(RegisterSafeAreaRequest( + _dementiaKey.value, + _selectedSafeAreaGroup.value.groupKey, + settingSafeAreaName.value, + _settingSafeAreaLatLng.value.latitude, + _settingSafeAreaLatLng.value.longitude, + _settingSafeAreaRadius.value + )).onSuccess { + Log.d("registerSafeArea", it.toString()) + eventSafeArea(SafeAreaEvent.SuccessRegisterSafeArea) + eventSafeArea(SafeAreaEvent.SettingSafeArea(false)) + isSettingSafeArea.value = false + } + } + } + + fun registerSafeAreaGroup(groupName: String){ + viewModelScope.launch { + repository.registerSafeAreaGroup(RegisterSafeAreaGroupRequest(_dementiaKey.value, groupName)).onSuccess { + _isSafeAreaGroupChanged.value = true + eventSafeArea(SafeAreaEvent.CreateSafeAreaGroup(groupName)) + Log.d("registerSafeAreaGroup", it.toString()) + }.onException { + Log.d("registerSafeAreaGroup", it.toString()) + } + } + } + + fun fetchSafeAreaAll() { + if(!_isSafeAreaGroupChanged.value){ + return + } + viewModelScope.launch { + repository.fetchSafeAreaAll(_dementiaKey.value).onSuccess {response -> + val groupList = response.groupList.sortedBy { it.groupName } + //val safeAreaList = mutableListOf() + //val groupNameList = response.safeAreaList.map { it.groupName}.filterNot { it == "notGrouped" } + + /*response.safeAreaList.forEach { _safeAreaList -> + val temp = if (_safeAreaList.groupName == "notGrouped") { + _safeAreaList.safeAreas.map { safeArea -> + SafeArea( + "", + _safeAreaList.groupKey, + safeArea.areaKey, + safeArea.areaName, + safeArea.latitude, + safeArea.longitude, + safeArea.radius, + SafeAreaRVA.SAFE_AREA + ) + } + } else { + _safeAreaList.safeAreas.map { + SafeArea( + _safeAreaList.groupName, + _safeAreaList.groupKey, + "", + "", + 0.0, + 0.0, + 0, + SafeAreaRVA.SAFE_AREA_GROUP + ) + } + } + safeAreaList.addAll(temp) + } + safeAreaList.sortWith( + compareBy( + {it.viewType}, + {it.groupName}, + {it.areaName} + ) + )*/ + //savedStateHandle["safeAreaGroupList"] = groupList + _safeAreaGroupList.value = groupList + eventSafeArea(SafeAreaEvent.FetchSafeArea(groupList)) + //Log.d("safeArea List", safeAreaList.toString()) + Log.d("fetchSafeArea", response.toString()) + _isSafeAreaGroupChanged.value = false + } + } + } + + fun fetchSafeAreaGroup(groupKey: String){ + viewModelScope.launch { + repository.fetchSafeAreaGroup(_dementiaKey.value, groupKey).onSuccess { + eventSafeArea(SafeAreaEvent.FetchSafeAreaGroup(it.safeAreas)) + Log.d("fetchSafeAreaGroup", it.toString()) + } + } + } + + fun fetchCoord(address: String){ + viewModelScope.launch { + repository.fetchCoord(GetCoordRequest(address)).onSuccess { + val latLng = LatLng(it.latitude.toDouble(), it.longitude.toDouble()) + eventSafeArea(SafeAreaEvent.FetchCoord(latLng)) + Log.d("fetchCoord", it.toString()) + } + } + } + + fun createSafeAreaGroup(groupName: String){ + eventSafeArea(SafeAreaEvent.CreateSafeAreaGroup(groupName)) + } + + fun getSafeAreaGroupList(): List{ + return _safeAreaGroupList.value + } + + fun setSelectedSafeAreaGroup(groupName: String){ + _selectedSafeAreaGroup.value = _safeAreaGroupList.value.find { it.groupName == groupName }!! + eventSafeArea(SafeAreaEvent.ChangeSafeAreaGroup(groupName)) + } +} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SearchAddressDialogFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SearchAddressDialogFragment.kt new file mode 100644 index 00000000..b6053602 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SearchAddressDialogFragment.kt @@ -0,0 +1,21 @@ +package kr.ac.tukorea.whereareu.presentation.nok.safearea + +import android.view.ViewGroup +import androidx.activity.enableEdgeToEdge +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.databinding.DialogSearchAddressBinding +import kr.ac.tukorea.whereareu.presentation.base.BaseDialogFragment +import kr.ac.tukorea.whereareu.presentation.base.BaseFragment +import kr.ac.tukorea.whereareu.util.extension.navigationHeight +import kr.ac.tukorea.whereareu.util.extension.setStatusBarTransparent +import kr.ac.tukorea.whereareu.util.extension.statusBarHeight + +class SearchAddressDialogFragment: BaseDialogFragment(R.layout.dialog_search_address) { + override fun initObserver() { + + } + + override fun initView() { + dialog?.window?.setLayout(ViewGroup.LayoutParams.MATCH_PARENT, ViewGroup.LayoutParams.MATCH_PARENT) + } +} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SelectGroupDialogFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SelectGroupDialogFragment.kt new file mode 100644 index 00000000..c985ec59 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SelectGroupDialogFragment.kt @@ -0,0 +1,60 @@ +package kr.ac.tukorea.whereareu.presentation.nok.safearea + +import android.content.res.ColorStateList +import android.util.Log +import android.view.View +import android.widget.RadioButton +import android.widget.RadioGroup +import androidx.core.content.ContextCompat +import androidx.core.view.ViewCompat +import androidx.core.view.forEach +import androidx.core.view.marginTop +import androidx.core.view.setMargins +import androidx.fragment.app.activityViewModels +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.data.model.nok.safearea.SafeAreaGroup +import kr.ac.tukorea.whereareu.databinding.DialogSelectGroupBinding +import kr.ac.tukorea.whereareu.presentation.base.BaseDialogFragment + +class SelectGroupDialogFragment: BaseDialogFragment(R.layout.dialog_select_group) { + private val viewModel: SafeAreaViewModel by activityViewModels() + private var defaultGroupId = 0 + override fun initObserver() { + + } + + override fun initView() { + val list = viewModel.getSafeAreaGroupList() + addRadioButtons(list) + //binding.radioGroup.check(defaultGroupId) + binding.doneBtn.setOnClickListener { + val checkedButton = view?.findViewById(binding.radioGroup.checkedRadioButtonId)!! + viewModel.setSelectedSafeAreaGroup(checkedButton.text.toString()) + dismiss() + } + + binding.cancelBtn.setOnClickListener { + dismiss() + } + } + + private fun addRadioButtons(list: List) { + list.forEach { + val radioButton = RadioButton(requireContext()) + radioButton.text = it.groupName + val params = RadioGroup.LayoutParams( + RadioGroup.LayoutParams.WRAP_CONTENT, + RadioGroup.LayoutParams.WRAP_CONTENT + ) + params.setMargins(0, 4, 0, 4) + radioButton.id = View.generateViewId() + binding.radioGroup.addView(radioButton) + radioButton.buttonTintList = ColorStateList.valueOf(ContextCompat.getColor(requireContext(), R.color.yellow)) + if(it.groupName == "기본 그룹") + { + defaultGroupId = View.generateViewId() + radioButton.id = defaultGroupId + } + } + } +} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SettingSafeAreaFragment.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SettingSafeAreaFragment.kt new file mode 100644 index 00000000..64e420d5 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/SettingSafeAreaFragment.kt @@ -0,0 +1,69 @@ +package kr.ac.tukorea.whereareu.presentation.nok.safearea + +import android.widget.SeekBar +import android.widget.SeekBar.OnSeekBarChangeListener +import androidx.fragment.app.activityViewModels +import androidx.navigation.fragment.findNavController +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.databinding.FragmentSettingSafeAreaBinding +import kr.ac.tukorea.whereareu.presentation.base.BaseFragment +import kr.ac.tukorea.whereareu.util.extension.repeatOnStarted +import kr.ac.tukorea.whereareu.util.extension.showToast + +class SettingSafeAreaFragment : + BaseFragment(R.layout.fragment_setting_safe_area) { + private val viewModel: SafeAreaViewModel by activityViewModels() + override fun initObserver() { + repeatOnStarted { + viewModel.safeAreaEvent.collect { event -> + handleSafeAreaEvent(event) + } + } + } + + private fun handleSafeAreaEvent(event: SafeAreaViewModel.SafeAreaEvent) { + when (event) { + is SafeAreaViewModel.SafeAreaEvent.RadiusChange -> { + binding.safeAreaRadiusTv.text = "${event.radius}km" + } + + is SafeAreaViewModel.SafeAreaEvent.FailRegisterSafeArea -> { + requireContext().showToast(requireContext(), event.message) + } + + else -> {} + } + } + + override fun initView() { + initSeekBar() + cancelSettingSafeArea() + binding.saveBtn.setOnClickListener { + viewModel.registerSafeArea() + } + } + + private fun initSeekBar() { + val radiusList = listOf("0.5", "1", "1.5", "2", "2.5", "3") + binding.seekBar.setOnSeekBarChangeListener(object : OnSeekBarChangeListener { + override fun onProgressChanged(seekBar: SeekBar?, progress: Int, fromUser: Boolean) { + viewModel.setSafeAreaRadius(radiusList[progress]) + } + + override fun onStartTrackingTouch(seekBar: SeekBar?) { + + } + + override fun onStopTrackingTouch(seekBar: SeekBar?) { + + } + + }) + } + + private fun cancelSettingSafeArea() { + binding.cancelBtn.setOnClickListener { + viewModel.setIsSettingSafeAreaStatus(false) + } + } +} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/adapter/SafeAreaDetailRVA.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/adapter/SafeAreaDetailRVA.kt new file mode 100644 index 00000000..dc2c0d26 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/adapter/SafeAreaDetailRVA.kt @@ -0,0 +1,57 @@ +package kr.ac.tukorea.whereareu.presentation.nok.safearea.adapter + +import android.view.LayoutInflater +import android.view.ViewGroup +import androidx.recyclerview.widget.DiffUtil +import androidx.recyclerview.widget.ListAdapter +import androidx.recyclerview.widget.RecyclerView +import kr.ac.tukorea.whereareu.data.model.nok.safearea.SafeAreaDto +import kr.ac.tukorea.whereareu.databinding.ItemSafeAreaBinding +import kr.ac.tukorea.whereareu.databinding.ItemSafeAreaDetailBinding +import kr.ac.tukorea.whereareu.domain.safearea.SafeArea +import kr.ac.tukorea.whereareu.domain.safearea.SafeAreaDetail + +class SafeAreaDetailRVA() : ListAdapter( + object : + DiffUtil.ItemCallback() { + override fun areItemsTheSame( + oldItem: SafeAreaDto, + newItem: SafeAreaDto + ): Boolean { + return oldItem === newItem + } + + override fun areContentsTheSame( + oldItem: SafeAreaDto, + newItem: SafeAreaDto + ): Boolean { + return oldItem == newItem + } + + }) { + inner class SafeAreaDetailViewHolder(private val binding: ItemSafeAreaDetailBinding) : + RecyclerView.ViewHolder(binding.root) { + fun bind(safeAreaDetail: SafeAreaDto) { + with(binding) { + model = safeAreaDetail + } + } + } + + override fun onCreateViewHolder( + parent: ViewGroup, + viewType: Int + ): SafeAreaDetailViewHolder { + return SafeAreaDetailViewHolder( + ItemSafeAreaDetailBinding.inflate( + LayoutInflater.from(parent.context), + parent, + false + ) + ) + } + + override fun onBindViewHolder(holder: SafeAreaDetailViewHolder, position: Int) { + holder.bind(currentList[position]) + } +} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/adapter/SafeAreaRVA.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/adapter/SafeAreaRVA.kt new file mode 100644 index 00000000..09138284 --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/adapter/SafeAreaRVA.kt @@ -0,0 +1,116 @@ +package kr.ac.tukorea.whereareu.presentation.nok.safearea.adapter + +import android.util.Log +import android.view.LayoutInflater +import android.view.ViewGroup +import androidx.recyclerview.widget.DiffUtil +import androidx.recyclerview.widget.ListAdapter +import androidx.recyclerview.widget.RecyclerView +import com.naver.maps.geometry.LatLng +import kr.ac.tukorea.whereareu.data.model.nok.safearea.SafeAreaGroup +import kr.ac.tukorea.whereareu.databinding.ItemSafeAreaBinding +import kr.ac.tukorea.whereareu.databinding.ItemSafeAreaGroupBinding +import kr.ac.tukorea.whereareu.databinding.ItemTimeInfoBinding +import kr.ac.tukorea.whereareu.domain.home.GroupedTimeInfo +import kr.ac.tukorea.whereareu.domain.home.MeaningfulPlaceInfo +import kr.ac.tukorea.whereareu.domain.safearea.SafeArea +import java.lang.StringBuilder + +class SafeAreaRVA() : ListAdapter( + object : + DiffUtil.ItemCallback() { + override fun areItemsTheSame( + oldItem: SafeAreaGroup, + newItem: SafeAreaGroup + ): Boolean { + return oldItem === newItem + } + + override fun areContentsTheSame( + oldItem: SafeAreaGroup, + newItem: SafeAreaGroup + ): Boolean { + return oldItem == newItem + } + + }) { + private var safeRVAClickListener: SafeRVAClickListener? = null + fun setSafeRVAClickListener(listener: SafeRVAClickListener){ + this.safeRVAClickListener = listener + } + /*inner class SafeAreaViewHolder(private val binding: ItemSafeAreaBinding) : + RecyclerView.ViewHolder(binding.root) { + fun bind(safeAreaGroup: SafeAreaGroup) { + with(binding) { + model = safeArea + + mapViewBtn.setOnClickListener { + val latLng = LatLng(safeArea.latitude, safeArea.longitude) + safeRVAClickListener?.onClickMapView(latLng) + } + } + } + }*/ + + inner class SafeAreaGroupViewHolder(private val binding: ItemSafeAreaGroupBinding) : + RecyclerView.ViewHolder(binding.root) { + fun bind(safeAreaGroup: SafeAreaGroup) { + with(binding) { + model = safeAreaGroup + infoViewBtn.setOnClickListener { + safeRVAClickListener?.onClickInfoView(safeAreaGroup.groupKey) + } + } + } + } + override fun onCreateViewHolder( + parent: ViewGroup, + viewType: Int + ): RecyclerView.ViewHolder { + return when(viewType) { + /*SAFE_AREA -> { + SafeAreaViewHolder( + ItemSafeAreaBinding.inflate( + LayoutInflater.from(parent.context), + parent, + false + ) + ) + }*/ + else -> { + SafeAreaGroupViewHolder( + ItemSafeAreaGroupBinding.inflate( + LayoutInflater.from(parent.context), + parent, + false + ) + ) + } + } + } + + override fun onBindViewHolder(holder: RecyclerView.ViewHolder, position: Int) { + when(holder.itemViewType){ + /*SAFE_AREA -> { + (holder as SafeAreaViewHolder).bind(currentList[position]) + }*/ + SAFE_AREA_GROUP -> { + (holder as SafeAreaGroupViewHolder).bind(currentList[position]) + } + } + } + + /*override fun getItemViewType(position: Int): Int { + return currentList[position].viewType + }*/ + + interface SafeRVAClickListener{ + fun onClickMapView(latLng: LatLng) + fun onClickInfoView(groupKey: String) + } + + companion object{ + val SAFE_AREA = 1 + val SAFE_AREA_GROUP = 0 + } +} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/safearea.json b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/safearea.json new file mode 100644 index 00000000..8e71d8dc --- /dev/null +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/presentation/nok/safearea/safearea.json @@ -0,0 +1,106 @@ +{ + "status": "success", + "message": "Safe area information sent", + "result": { + "safeAreaList": [ + { + "groupName": "notGrouped", + "safeAreas": [ + { + "areaName": "2", + "latitude": 37.123456, + "longitude": 127.123456, + "radius": 100 + }, + { + "areaName": "집", + "latitude": 37.123456, + "longitude": 127.123456, + "radius": 100 + }, + { + "areaName": "2", + "latitude": 37.123456, + "longitude": 127.123456, + "radius": 100 + } + ] + }, + { + "groupName": "안심구역 그룹 1", + "safeAreas": [ + { + "areaName": "집", + "latitude": 37.123456, + "longitude": 127.123456, + "radius": 100 + }, + { + "areaName": "놀이터", + "latitude": 37.123456, + "longitude": 127.123456, + "radius": 100 + } + ] + }, + { + "groupName": "안심구역 그룹 2", + "safeAreas": [ + { + "areaName": "앞마당", + "latitude": 37.123456, + "longitude": 127.123456, + "radius": 100 + } + ] + }, + { + "groupName": "테스트 그룹", + "safeAreas": [ + { + "areaName": "테스트 지역", + "latitude": 37.4016759, + "longitude": 126.9341057, + "radius": 100 + }, + { + "areaName": "테스트 지역", + "latitude": 37.4016759, + "longitude": 126.9341057, + "radius": 100 + }, + { + "areaName": "테스트 지역", + "latitude": 37.4016759, + "longitude": 126.9341057, + "radius": 100 + }, + { + "areaName": "테스트 지역", + "latitude": 37.4016759, + "longitude": 126.9341057, + "radius": 100 + }, + { + "areaName": "테스트 지역", + "latitude": 37.4016759, + "longitude": 126.9341057, + "radius": 100 + }, + { + "areaName": "테스트 지역", + "latitude": 37.4016759, + "longitude": 126.9341057, + "radius": 100 + }, + { + "areaName": "테스트 지역", + "latitude": 37.4016759, + "longitude": 126.9341057, + "radius": 100 + } + ] + } + ] + } +} \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/EditTextUtil.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/EditTextUtil.kt index fa0476d2..f8bcad59 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/EditTextUtil.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/EditTextUtil.kt @@ -1,34 +1,34 @@ -package kr.ac.tukorea.whereareu.util.extension - -import android.content.Context -import android.view.inputmethod.InputMethodManager -import android.widget.EditText - -object EditTextUtil { - fun EditText.setOnEditorActionListener(action: Int, invoke: () -> Unit){ - setOnEditorActionListener { _, actionId, _ -> - if(actionId == action){ - invoke() - true - } else { - false - } - } - } - - fun EditText.showKeyboard(){ - this.requestFocus() - val inputMethodManager = this.context.getSystemService(Context.INPUT_METHOD_SERVICE) as InputMethodManager - inputMethodManager.showSoftInput(this, InputMethodManager.SHOW_IMPLICIT) - } - - fun EditText.showKeyboardDelay(){ - postDelayed({showKeyboard()}, 200) // 람다 함수를 사용해 함수를 Runnalbe 객체로 변환 가능 - } - - fun EditText.hideKeyboard(){ - this.clearFocus() - val inputMethodManager = this.context.getSystemService(Context.INPUT_METHOD_SERVICE) as InputMethodManager - inputMethodManager.hideSoftInputFromWindow(this.windowToken, 0) - } +package kr.ac.tukorea.whereareu.util.extension + +import android.content.Context +import android.view.inputmethod.InputMethodManager +import android.widget.EditText + +object EditTextUtil { + fun EditText.setOnEditorActionListener(action: Int, invoke: () -> Unit){ + setOnEditorActionListener { _, actionId, _ -> + if(actionId == action){ + invoke() + true + } else { + false + } + } + } + + fun EditText.showKeyboard(){ + this.requestFocus() + val inputMethodManager = this.context.getSystemService(Context.INPUT_METHOD_SERVICE) as InputMethodManager + inputMethodManager.showSoftInput(this, InputMethodManager.SHOW_IMPLICIT) + } + + fun EditText.showKeyboardDelay(){ + postDelayed({showKeyboard()}, 200) // 람다 함수를 사용해 함수를 Runnalbe 객체로 변환 가능 + } + + fun EditText.hideKeyboard(){ + this.clearFocus() + val inputMethodManager = this.context.getSystemService(Context.INPUT_METHOD_SERVICE) as InputMethodManager + inputMethodManager.hideSoftInputFromWindow(this.windowToken, 0) + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/LoginUtil.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/LoginUtil.kt index 6032cc14..6f32e8ac 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/LoginUtil.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/LoginUtil.kt @@ -1,20 +1,24 @@ -package kr.ac.tukorea.whereareu.util.extension - -import android.graphics.Point -import android.view.Gravity -import android.widget.Toast -import androidx.fragment.app.Fragment -import androidx.lifecycle.Lifecycle -import androidx.lifecycle.LifecycleOwner -import androidx.lifecycle.lifecycleScope -import androidx.lifecycle.repeatOnLifecycle -import kotlinx.coroutines.CoroutineScope -import kotlinx.coroutines.launch -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.databinding.ToastLayoutBinding - -fun LifecycleOwner.repeatOnStarted(block: suspend CoroutineScope.() -> Unit) { - lifecycleScope.launch { - lifecycle.repeatOnLifecycle(Lifecycle.State.STARTED, block) - } -} \ No newline at end of file +package kr.ac.tukorea.whereareu.util.extension + +import android.graphics.Point +import android.view.Gravity +import android.widget.Toast +import androidx.fragment.app.Fragment +import androidx.lifecycle.Lifecycle +import androidx.lifecycle.LifecycleOwner +import androidx.lifecycle.lifecycleScope +import androidx.lifecycle.repeatOnLifecycle +import kotlinx.coroutines.CoroutineScope +import kotlinx.coroutines.launch +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.databinding.ToastLayoutBinding + +fun LifecycleOwner.repeatOnStarted(block: suspend CoroutineScope.() -> Unit) { + lifecycleScope.launch { + lifecycle.repeatOnLifecycle(Lifecycle.State.STARTED, block) + } +} + +fun Fragment.repeat(block: suspend CoroutineScope.() -> Unit){ + viewLifecycleOwner.repeatOnStarted(block) +} diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/NaverMapUtil.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/NaverMapUtil.kt index 79aae04d..75168cb3 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/NaverMapUtil.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/NaverMapUtil.kt @@ -9,6 +9,7 @@ import com.naver.maps.map.overlay.InfoWindow import com.naver.maps.map.overlay.Marker import com.naver.maps.map.overlay.OverlayImage import com.naver.maps.map.overlay.PathOverlay +import com.naver.maps.map.util.MarkerIcons import kr.ac.tukorea.whereareu.R fun Marker.setMarker( @@ -40,6 +41,14 @@ fun Marker.setMarkerWithInfoWindow( captionWidth: Int = 400 ) { this.setMarker(latLng, markerIconColor, markerText, naverMap, captionWidth) + val zIndex = when(markerIconColor){ + MarkerIcons.YELLOW -> 10 + MarkerIcons.GREEN -> 20 + MarkerIcons.BLUE -> 5 + MarkerIcons.RED -> 15 + else -> 0 + } + this.zIndex = zIndex InfoWindow().apply { setAdapter(context, infoText) open(this@setMarkerWithInfoWindow) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/ToastUtil.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/ToastUtil.kt index bd6ad384..180dd3ee 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/ToastUtil.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/ToastUtil.kt @@ -1,56 +1,60 @@ -package kr.ac.tukorea.whereareu.util.extension - -import android.app.Activity -import android.content.Context -import android.graphics.Point -import android.view.Gravity -import android.widget.Toast -import androidx.core.content.ContentProviderCompat.requireContext -import androidx.fragment.app.Fragment -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.databinding.ToastLayoutBinding - -fun Activity.showToastOnView(context: Context, text: String, y: Int) { - val binding = ToastLayoutBinding.inflate(layoutInflater) - val display = windowManager.defaultDisplay - val size = Point() - display.getRealSize(size) - val screenY = size.y - binding.run { - tv.text = text - val toast = Toast(context) - toast.view = binding.root - - binding.root.setBackgroundResource(R.drawable.toast_bg) - toast.setGravity(Gravity.BOTTOM, 0, screenY - y) - toast.show() - } -} - -fun Activity.showToastShort(context: Context, text: String){ - //Toast.makeText(context, text, Toast.LENGTH_SHORT).show() - val binding = ToastLayoutBinding.inflate(layoutInflater) - binding.run { - tv.text = text - val toast = Toast(context) - toast.view = binding.root - toast.duration = Toast.LENGTH_SHORT - binding.root.setBackgroundResource(R.drawable.toast_bg) - //toast.setGravity(Gravity.BOTTOM, 0, screenY - y) - toast.show() - } -} - -fun Activity.showToastLong(context: Context, text: String){ - //Toast.makeText(context, text, Toast.LENGTH_SHORT).show() - val binding = ToastLayoutBinding.inflate(layoutInflater) - binding.run { - tv.text = text - val toast = Toast(context) - toast.view = binding.root - toast.duration = Toast.LENGTH_LONG - binding.root.setBackgroundResource(R.drawable.toast_bg) - //toast.setGravity(Gravity.BOTTOM, 0, screenY - y) - toast.show() - } +package kr.ac.tukorea.whereareu.util.extension + +import android.app.Activity +import android.content.Context +import android.graphics.Point +import android.view.Gravity +import android.widget.Toast +import androidx.core.content.ContentProviderCompat.requireContext +import androidx.fragment.app.Fragment +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.databinding.ToastLayoutBinding + +fun Activity.showToastOnView(context: Context, text: String, y: Int) { + val binding = ToastLayoutBinding.inflate(layoutInflater) + val display = windowManager.defaultDisplay + val size = Point() + display.getRealSize(size) + val screenY = size.y + binding.run { + tv.text = text + val toast = Toast(context) + toast.view = binding.root + + binding.root.setBackgroundResource(R.drawable.toast_bg) + toast.setGravity(Gravity.BOTTOM, 0, screenY - y) + toast.show() + } +} + +fun Context.showToast(context: Context, text: String){ + Toast.makeText(context, text, Toast.LENGTH_SHORT).show() +} + +fun Activity.showToastShort(context: Context, text: String){ + //Toast.makeText(context, text, Toast.LENGTH_SHORT).show() + val binding = ToastLayoutBinding.inflate(layoutInflater) + binding.run { + tv.text = text + val toast = Toast(context) + toast.view = binding.root + toast.duration = Toast.LENGTH_SHORT + binding.root.setBackgroundResource(R.drawable.toast_bg) + //toast.setGravity(Gravity.BOTTOM, 0, screenY - y) + toast.show() + } +} + +fun Activity.showToastLong(context: Context, text: String){ + //Toast.makeText(context, text, Toast.LENGTH_SHORT).show() + val binding = ToastLayoutBinding.inflate(layoutInflater) + binding.run { + tv.text = text + val toast = Toast(context) + toast.view = binding.root + toast.duration = Toast.LENGTH_LONG + binding.root.setBackgroundResource(R.drawable.toast_bg) + //toast.setGravity(Gravity.BOTTOM, 0, screenY - y) + toast.show() + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/TransparentStatusBarExtension.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/TransparentStatusBarExtension.kt index ee7aac70..db644e7b 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/TransparentStatusBarExtension.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/extension/TransparentStatusBarExtension.kt @@ -1,33 +1,46 @@ -package kr.ac.tukorea.whereareu.util.extension - -import android.app.Activity -import android.content.Context -import android.os.Build -import android.view.WindowManager -import androidx.core.view.WindowCompat - -fun Activity.setStatusBarTransparent() { - window.apply { - setFlags( - WindowManager.LayoutParams.FLAG_LAYOUT_NO_LIMITS, - WindowManager.LayoutParams.FLAG_LAYOUT_NO_LIMITS - ) - } - if(Build.VERSION.SDK_INT >= 30) { // API 30 에 적용 - WindowCompat.setDecorFitsSystemWindows(window, false) - } -} - -fun Context.statusBarHeight(): Int { - val resourceId = resources.getIdentifier("status_bar_height", "dimen", "android") - - return if (resourceId > 0) resources.getDimensionPixelSize(resourceId) - else 0 -} - -fun Context.navigationHeight(): Int { - val resourceId = resources.getIdentifier("navigation_bar_height", "dimen", "android") - - return if (resourceId > 0) resources.getDimensionPixelSize(resourceId) - else 0 +package kr.ac.tukorea.whereareu.util.extension + +import android.app.Activity +import android.content.Context +import android.os.Build +import android.view.WindowManager +import androidx.core.view.WindowCompat +import androidx.fragment.app.Fragment + +fun Activity.setStatusBarTransparent() { + window.apply { + setFlags( + WindowManager.LayoutParams.FLAG_LAYOUT_NO_LIMITS, + WindowManager.LayoutParams.FLAG_LAYOUT_NO_LIMITS + ) + } + if(Build.VERSION.SDK_INT >= 30) { // API 30 에 적용 + WindowCompat.setDecorFitsSystemWindows(window, false) + } +} + +fun Fragment.setStatusBarTransparent() { + requireActivity().window.apply { + setFlags( + WindowManager.LayoutParams.FLAG_LAYOUT_NO_LIMITS, + WindowManager.LayoutParams.FLAG_LAYOUT_NO_LIMITS + ) + } + if(Build.VERSION.SDK_INT >= 30) { // API 30 에 적용 + WindowCompat.setDecorFitsSystemWindows(requireActivity().window, false) + } +} + +fun Context.statusBarHeight(): Int { + val resourceId = resources.getIdentifier("status_bar_height", "dimen", "android") + + return if (resourceId > 0) resources.getDimensionPixelSize(resourceId) + else 0 +} + +fun Context.navigationHeight(): Int { + val resourceId = resources.getIdentifier("navigation_bar_height", "dimen", "android") + + return if (resourceId > 0) resources.getDimensionPixelSize(resourceId) + else 0 } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/DefaultLocationClient.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/DefaultLocationClient.kt index 2a82a327..a5a97326 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/DefaultLocationClient.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/DefaultLocationClient.kt @@ -1,69 +1,69 @@ -package kr.ac.tukorea.whereareu.util.location - -import android.annotation.SuppressLint -import android.content.Context -import android.location.Location -import android.location.LocationManager -import android.location.LocationRequest -import android.os.Build -import android.os.Looper -import android.util.Log -import com.google.android.gms.location.FusedLocationProviderClient -import com.google.android.gms.location.LocationCallback -import com.google.android.gms.location.LocationResult -import kotlinx.coroutines.channels.awaitClose -import kotlinx.coroutines.flow.Flow -import kotlinx.coroutines.flow.callbackFlow -import kotlinx.coroutines.launch -import kr.ac.tukorea.whereareu.util.extension.hasLocationPermission - -class DefaultLocationClient( - private val context: Context, - private val client: FusedLocationProviderClient -): LocationClient { - private val locationManager by lazy { - context.getSystemService(Context.LOCATION_SERVICE) as LocationManager - } - @SuppressLint("MissingPermission") - override fun getLocationUpdates(interval: Long): Flow { - return callbackFlow { - if (!context.hasLocationPermission()) { - throw LocationClient.LocationException("Missing location permission") - } - - if (!getGpsStatus()) { - throw LocationClient.LocationException("GPS is disabled") - } - - val request = com.google.android.gms.location.LocationRequest.Builder(interval).apply { - if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.S) { - setPriority(LocationRequest.QUALITY_BALANCED_POWER_ACCURACY) - } - }.build() - - val locationCallback = object : LocationCallback() { - override fun onLocationResult(result: LocationResult) { - super.onLocationResult(result) - result.locations.lastOrNull()?.let { location -> - launch { send(location) } - } - } - } - - client.requestLocationUpdates( - request, - locationCallback, - Looper.getMainLooper() - ) - - awaitClose { - client.removeLocationUpdates(locationCallback) - } - } - } - override fun getGpsStatus(): Boolean { - return locationManager.isProviderEnabled(LocationManager.NETWORK_PROVIDER) || locationManager.isProviderEnabled(LocationManager.GPS_PROVIDER) - Log.d("network", locationManager.isProviderEnabled(LocationManager.NETWORK_PROVIDER).toString()) - Log.d("gps", locationManager.isProviderEnabled(LocationManager.GPS_PROVIDER).toString()) - } +package kr.ac.tukorea.whereareu.util.location + +import android.annotation.SuppressLint +import android.content.Context +import android.location.Location +import android.location.LocationManager +import android.location.LocationRequest +import android.os.Build +import android.os.Looper +import android.util.Log +import com.google.android.gms.location.FusedLocationProviderClient +import com.google.android.gms.location.LocationCallback +import com.google.android.gms.location.LocationResult +import kotlinx.coroutines.channels.awaitClose +import kotlinx.coroutines.flow.Flow +import kotlinx.coroutines.flow.callbackFlow +import kotlinx.coroutines.launch +import kr.ac.tukorea.whereareu.util.extension.hasLocationPermission + +class DefaultLocationClient( + private val context: Context, + private val client: FusedLocationProviderClient +): LocationClient { + private val locationManager by lazy { + context.getSystemService(Context.LOCATION_SERVICE) as LocationManager + } + @SuppressLint("MissingPermission") + override fun getLocationUpdates(interval: Long): Flow { + return callbackFlow { + if (!context.hasLocationPermission()) { + throw LocationClient.LocationException("Missing location permission") + } + + if (!getGpsStatus()) { + throw LocationClient.LocationException("GPS is disabled") + } + + val request = com.google.android.gms.location.LocationRequest.Builder(interval).apply { + if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.S) { + setPriority(LocationRequest.QUALITY_BALANCED_POWER_ACCURACY) + } + }.build() + + val locationCallback = object : LocationCallback() { + override fun onLocationResult(result: LocationResult) { + super.onLocationResult(result) + result.locations.lastOrNull()?.let { location -> + launch { send(location) } + } + } + } + + client.requestLocationUpdates( + request, + locationCallback, + Looper.getMainLooper() + ) + + awaitClose { + client.removeLocationUpdates(locationCallback) + } + } + } + override fun getGpsStatus(): Boolean { + return locationManager.isProviderEnabled(LocationManager.NETWORK_PROVIDER) || locationManager.isProviderEnabled(LocationManager.GPS_PROVIDER) + Log.d("network", locationManager.isProviderEnabled(LocationManager.NETWORK_PROVIDER).toString()) + Log.d("gps", locationManager.isProviderEnabled(LocationManager.GPS_PROVIDER).toString()) + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/InternalFileStorageUtil.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/InternalFileStorageUtil.kt index 0c1f9fd3..ec601478 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/InternalFileStorageUtil.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/InternalFileStorageUtil.kt @@ -1,81 +1,81 @@ -package kr.ac.tukorea.whereareu.util.location - -import android.annotation.SuppressLint -import android.content.Context -import android.util.Log -import android.widget.Toast -import java.io.BufferedReader -import java.io.BufferedWriter -import java.io.File -import java.io.FileReader -import java.io.FileWriter -import java.io.IOException -import java.text.SimpleDateFormat -import java.util.Date -import java.util.Locale - -class InternalFileStorageUtil(private val context: Context) { - fun appendContentToFile(content: String) { - val now = getCurrentTime() - val filename = "$now.txt" - - try { - // 파일이 존재하는지 확인 - val file = File(context.filesDir, filename) - Log.d("ab path", file.absolutePath) - Log.d("path", file.path) - - if (!file.exists()) { - storeFileUsingStream(filename, content) - } else { - // 파일이 존재하지 않으면 새로운 파일 생성 - // 파일이 존재하면 기존 내용을 읽어온 후 내용을 추가 - val fileReader = FileReader(file) - val bufferedReader = BufferedReader(fileReader) - - // 기존 내용을 StringBuilder에 저장 - val stringBuilder = StringBuilder() - var line: String? - - while (bufferedReader.readLine().also { line = it } != null) { - stringBuilder.append(line).append('\n') - } - - // 새로운 내용을 추가 - stringBuilder.append(content) - - // 파일을 열어서 기존 내용을 유지한 채로 내용을 추가 - val fileWriter = FileWriter(file) - val bufferedWriter = BufferedWriter(fileWriter) - - // 새로운 내용을 파일에 쓰기 - bufferedWriter.write(stringBuilder.toString()) - - // 리소스 정리 - bufferedWriter.close() - fileWriter.close() - bufferedReader.close() - fileReader.close() - } - } catch (e: IOException) { - e.printStackTrace() - } - } - - @SuppressLint("SimpleDateFormat") - private fun getCurrentTime(): String{ - Locale.setDefault(Locale.KOREA) - val currentTime = System.currentTimeMillis() - val date = Date(currentTime) - val sdf = SimpleDateFormat("yyyy-MM-dd", Locale.getDefault()) - return sdf.format(date) - } - - fun storeFileUsingStream(filename: String, content: String) { - // API 24 이상에서, MODE_PRIVATE 사용 안하면, SecurityException 발생 - context.openFileOutput(filename, Context.MODE_PRIVATE).use { - it.write(content.toByteArray()) - } - } - +package kr.ac.tukorea.whereareu.util.location + +import android.annotation.SuppressLint +import android.content.Context +import android.util.Log +import android.widget.Toast +import java.io.BufferedReader +import java.io.BufferedWriter +import java.io.File +import java.io.FileReader +import java.io.FileWriter +import java.io.IOException +import java.text.SimpleDateFormat +import java.util.Date +import java.util.Locale + +class InternalFileStorageUtil(private val context: Context) { + fun appendContentToFile(content: String) { + val now = getCurrentTime() + val filename = "$now.txt" + + try { + // 파일이 존재하는지 확인 + val file = File(context.filesDir, filename) + Log.d("ab path", file.absolutePath) + Log.d("path", file.path) + + if (!file.exists()) { + storeFileUsingStream(filename, content) + } else { + // 파일이 존재하지 않으면 새로운 파일 생성 + // 파일이 존재하면 기존 내용을 읽어온 후 내용을 추가 + val fileReader = FileReader(file) + val bufferedReader = BufferedReader(fileReader) + + // 기존 내용을 StringBuilder에 저장 + val stringBuilder = StringBuilder() + var line: String? + + while (bufferedReader.readLine().also { line = it } != null) { + stringBuilder.append(line).append('\n') + } + + // 새로운 내용을 추가 + stringBuilder.append(content) + + // 파일을 열어서 기존 내용을 유지한 채로 내용을 추가 + val fileWriter = FileWriter(file) + val bufferedWriter = BufferedWriter(fileWriter) + + // 새로운 내용을 파일에 쓰기 + bufferedWriter.write(stringBuilder.toString()) + + // 리소스 정리 + bufferedWriter.close() + fileWriter.close() + bufferedReader.close() + fileReader.close() + } + } catch (e: IOException) { + e.printStackTrace() + } + } + + @SuppressLint("SimpleDateFormat") + private fun getCurrentTime(): String{ + Locale.setDefault(Locale.KOREA) + val currentTime = System.currentTimeMillis() + val date = Date(currentTime) + val sdf = SimpleDateFormat("yyyy-MM-dd", Locale.getDefault()) + return sdf.format(date) + } + + fun storeFileUsingStream(filename: String, content: String) { + // API 24 이상에서, MODE_PRIVATE 사용 안하면, SecurityException 발생 + context.openFileOutput(filename, Context.MODE_PRIVATE).use { + it.write(content.toByteArray()) + } + } + } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/LocationClient.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/LocationClient.kt index 55ec13ee..91e4332b 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/LocationClient.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/LocationClient.kt @@ -1,13 +1,13 @@ -package kr.ac.tukorea.whereareu.util.location - -import android.location.Location -import android.location.LocationManager -import kotlinx.coroutines.flow.Flow - -interface LocationClient { - fun getLocationUpdates(interval: Long): Flow - - fun getGpsStatus(): Boolean - - class LocationException(message: String): Exception() +package kr.ac.tukorea.whereareu.util.location + +import android.location.Location +import android.location.LocationManager +import kotlinx.coroutines.flow.Flow + +interface LocationClient { + fun getLocationUpdates(interval: Long): Flow + + fun getGpsStatus(): Boolean + + class LocationException(message: String): Exception() } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/LocationService.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/LocationService.kt index 273015c0..de5dcc61 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/LocationService.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/location/LocationService.kt @@ -1,244 +1,244 @@ -package kr.ac.tukorea.whereareu.util.location - -import android.annotation.SuppressLint -import android.app.NotificationManager -import android.app.Service -import android.content.Context -import android.content.Intent -import android.content.IntentFilter -import android.media.AudioManager -import android.os.BatteryManager -import android.os.IBinder -import android.util.Log -import androidx.core.app.NotificationCompat -import androidx.localbroadcastmanager.content.LocalBroadcastManager -import com.google.android.gms.location.LocationServices -import dagger.hilt.android.AndroidEntryPoint -import kotlinx.coroutines.CoroutineScope -import kotlinx.coroutines.Dispatchers -import kotlinx.coroutines.SupervisorJob -import kotlinx.coroutines.cancel -import kotlinx.coroutines.delay -import kotlinx.coroutines.flow.catch -import kotlinx.coroutines.flow.launchIn -import kotlinx.coroutines.flow.onEach -import kotlinx.coroutines.launch -import kr.ac.tukorea.whereareu.R -import kr.ac.tukorea.whereareu.data.model.dementia.home.PostLocationInfoRequest -import kr.ac.tukorea.whereareu.data.repository.dementia.home.DementiaHomeRepositoryImpl -import kr.ac.tukorea.whereareu.util.network.onException -import kr.ac.tukorea.whereareu.util.network.onSuccess -import kr.ac.tukorea.whereareu.util.sensor.AccelerometerSensor -import kr.ac.tukorea.whereareu.util.sensor.GyroScopeSensor -import kr.ac.tukorea.whereareu.util.sensor.LightSensor -import kr.ac.tukorea.whereareu.util.sensor.MagneticFieldSensor -import java.text.SimpleDateFormat -import java.util.Date -import java.util.Locale -import javax.inject.Inject - -@AndroidEntryPoint -class LocationService: Service() { - @Inject - lateinit var repository: DementiaHomeRepositoryImpl - @Inject - lateinit var accelerometerSensor: AccelerometerSensor - @Inject - lateinit var magneticFieldSensor: MagneticFieldSensor - @Inject - lateinit var gyroScopeSensor: GyroScopeSensor - @Inject - lateinit var lightSensor: LightSensor - private lateinit var locationClient: LocationClient - private val serviceScope = CoroutineScope(SupervisorJob() + Dispatchers.IO) - private var sensorValueList = mutableListOf>(emptyList(), emptyList(), emptyList(), emptyList()) - private val locationInfo = mutableListOf(0.0, 0.0) - private val locationExtraInfo = mutableListOf(0f, 0f) - private val localBroadcastManager by lazy { - LocalBroadcastManager.getInstance(applicationContext) - } - - override fun onBind(intent: Intent?): IBinder? { - return null - } - - override fun onCreate() { - super.onCreate() - initSensor() - locationClient = DefaultLocationClient( - applicationContext, - LocationServices.getFusedLocationProviderClient(applicationContext) - ) - val dementiaKey = getDementiaKey() - if (!getDementiaKey().isNullOrBlank()) - postLocationInfo(dementiaKey.toString()) - } - - private fun initSensor(){ - lightSensor.startListening() - lightSensor.setOnSensorValuesChangedListener { values -> - sensorValueList[LIGHT_SENSOR] = values - } - - magneticFieldSensor.startListening() - magneticFieldSensor.setOnSensorValuesChangedListener {values -> - sensorValueList[MAGNETIC_SENSOR] = values - } - - accelerometerSensor.startListening() - accelerometerSensor.setOnSensorValuesChangedListener { values -> - sensorValueList[ACCELEROMETER_SENSOR] = values - } - - gyroScopeSensor.startListening() - gyroScopeSensor.setOnSensorValuesChangedListener {values -> - sensorValueList[GYRO_SENSOR] = values - } - } - - private fun postLocationInfo(dementiaKey: String){ - serviceScope.launch { - while (true){ - if (checkReadyToPost()) { - val currentTime = getCurrentTime() - var userState = 0 - var isSuccess = false - val info = PostLocationInfoRequest(dementiaKey, locationInfo[LATITUDE], locationInfo[LONGITUDE], - currentTime[TIME].trim(), currentTime[DATE], locationExtraInfo[SPEED], - accelerationSensor = sensorValueList[ACCELEROMETER_SENSOR], - gyroSensor = sensorValueList[GYRO_SENSOR], - directionSensor = sensorValueList[MAGNETIC_SENSOR], - lightSensor = sensorValueList[LIGHT_SENSOR], - battery = getBatteryPercent()!!, bearing = locationExtraInfo[BEARING], - isGpsOn = locationClient.getGpsStatus(), isInternetOn = true, isRingstoneOn = getRingMode() - ) - sendLocation(info) - Log.d("info", info.toString()) - repository.postLocationInfo(info).onSuccess { - userState = it.result - isSuccess = true - }.onException { - isSuccess = false - Log.d("error", it.toString()) - } - // AI 정보 수집을 위한 함수 - saveFile(currentTime[DATE], currentTime[TIME].trim(), userState.toString(), isSuccess.toString()) - delay(1000 * 30) - } - } - } - } - - private fun saveFile(date: String, time: String, userState: String, isError: String){ - val internalFile = InternalFileStorageUtil(applicationContext) - internalFile.appendContentToFile("${locationInfo[LATITUDE]}, ${locationInfo[LONGITUDE]}, " + - "$date $time, " + "$userState, $isError") - } - - private fun getDementiaKey(): String?{ - val dementiaKeySpf = applicationContext.getSharedPreferences("User", MODE_PRIVATE) - return dementiaKeySpf.getString("key", "") - } - - private fun checkReadyToPost(): Boolean{ - return !locationInfo[LATITUDE].equals(0.0) && !locationInfo[LONGITUDE].equals(0.0) && sensorValueList[MAGNETIC_SENSOR].isNotEmpty() - && sensorValueList[LIGHT_SENSOR].isNotEmpty() && sensorValueList[ACCELEROMETER_SENSOR].isNotEmpty() - && sensorValueList[GYRO_SENSOR].isNotEmpty() - } - - @SuppressLint("SimpleDateFormat") - private fun getCurrentTime(): List{ - Locale.setDefault(Locale.KOREA) - val currentTime = System.currentTimeMillis() - val date = Date(currentTime) - val sdf = SimpleDateFormat("yyyy-MM-dd HH:mm:ss", Locale.getDefault()) - val now = sdf.format(date) - Log.d("now", now) - return now.split(" ") - } - - private fun getBatteryPercent(): Int?{ - val batteryStatus = registerReceiver(null, IntentFilter(Intent.ACTION_BATTERY_CHANGED)) - return batteryStatus?.let { - val level = it.getIntExtra(BatteryManager.EXTRA_LEVEL, -1) - val scale = it.getIntExtra(BatteryManager.EXTRA_SCALE, -1) - level * 100 / scale - } - } - - private fun getRingMode(): Int{ - val audioManager = applicationContext.getSystemService(Context.AUDIO_SERVICE) as AudioManager - return audioManager.ringerMode - // ringMode 2: 벨소리 - } - - override fun onStartCommand(intent: Intent?, flags: Int, startId: Int): Int { - when(intent?.action){ - ACTION_START -> start() - ACTION_STOP -> stop() - } - return super.onStartCommand(intent, flags, startId) - } - - private fun start(){ - val notification = NotificationCompat.Builder(this, "location") - .setContentTitle("어디U 어플에서 위치정보를 수집중입니다.") - .setContentText("Location: null") - .setSmallIcon(R.drawable.ic_launcher_background) - .setOngoing(true) - - val notificationManager = getSystemService(Context.NOTIFICATION_SERVICE) as NotificationManager - - locationClient - .getLocationUpdates(5*1000L) - .catch { e -> e.printStackTrace() } - .onEach { location -> - locationInfo[LATITUDE] = location.latitude - locationInfo[LONGITUDE] = location.longitude - locationExtraInfo[SPEED] = location.speed - locationExtraInfo[BEARING] = location.bearing - Log.d("speed", "${location.speed}") - val updatedNotification = notification.setContentText( - "Location: (${location.latitude}, ${location.longitude}) speed: ${location.speed}" - ) - notificationManager.notify(1, updatedNotification.build()) - }.launchIn(serviceScope) - startForeground(1, notification.build()) - } - - private fun sendLocation(postLocationInfoRequest: PostLocationInfoRequest){ - val intent = Intent("gps") - intent.putExtra("postInfo", postLocationInfoRequest) - //intent.putExtra("long", long) - localBroadcastManager.sendBroadcast(intent) - } - - private fun stop(){ - stopForeground(true) - stopSelf() - } - - override fun onDestroy() { - super.onDestroy() - serviceScope.cancel() - } - - companion object{ - const val ACTION_START = "ACTION_START" - const val ACTION_STOP = "ACTION_STOP" - - const val LIGHT_SENSOR = 0 - const val GYRO_SENSOR = 1 - const val ACCELEROMETER_SENSOR = 2 - const val MAGNETIC_SENSOR = 3 - - const val LATITUDE = 0 - const val LONGITUDE = 1 - - const val SPEED = 0 - const val BEARING = 1 - - const val DATE = 0 - const val TIME = 1 - } +package kr.ac.tukorea.whereareu.util.location + +import android.annotation.SuppressLint +import android.app.NotificationManager +import android.app.Service +import android.content.Context +import android.content.Intent +import android.content.IntentFilter +import android.media.AudioManager +import android.os.BatteryManager +import android.os.IBinder +import android.util.Log +import androidx.core.app.NotificationCompat +import androidx.localbroadcastmanager.content.LocalBroadcastManager +import com.google.android.gms.location.LocationServices +import dagger.hilt.android.AndroidEntryPoint +import kotlinx.coroutines.CoroutineScope +import kotlinx.coroutines.Dispatchers +import kotlinx.coroutines.SupervisorJob +import kotlinx.coroutines.cancel +import kotlinx.coroutines.delay +import kotlinx.coroutines.flow.catch +import kotlinx.coroutines.flow.launchIn +import kotlinx.coroutines.flow.onEach +import kotlinx.coroutines.launch +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.data.model.dementia.home.PostLocationInfoRequest +import kr.ac.tukorea.whereareu.data.repository.dementia.home.DementiaHomeRepositoryImpl +import kr.ac.tukorea.whereareu.util.network.onException +import kr.ac.tukorea.whereareu.util.network.onSuccess +import kr.ac.tukorea.whereareu.util.sensor.AccelerometerSensor +import kr.ac.tukorea.whereareu.util.sensor.GyroScopeSensor +import kr.ac.tukorea.whereareu.util.sensor.LightSensor +import kr.ac.tukorea.whereareu.util.sensor.MagneticFieldSensor +import java.text.SimpleDateFormat +import java.util.Date +import java.util.Locale +import javax.inject.Inject + +@AndroidEntryPoint +class LocationService: Service() { + @Inject + lateinit var repository: DementiaHomeRepositoryImpl + @Inject + lateinit var accelerometerSensor: AccelerometerSensor + @Inject + lateinit var magneticFieldSensor: MagneticFieldSensor + @Inject + lateinit var gyroScopeSensor: GyroScopeSensor + @Inject + lateinit var lightSensor: LightSensor + private lateinit var locationClient: LocationClient + private val serviceScope = CoroutineScope(SupervisorJob() + Dispatchers.IO) + private var sensorValueList = mutableListOf>(emptyList(), emptyList(), emptyList(), emptyList()) + private val locationInfo = mutableListOf(0.0, 0.0) + private val locationExtraInfo = mutableListOf(0f, 0f) + private val localBroadcastManager by lazy { + LocalBroadcastManager.getInstance(applicationContext) + } + + override fun onBind(intent: Intent?): IBinder? { + return null + } + + override fun onCreate() { + super.onCreate() + initSensor() + locationClient = DefaultLocationClient( + applicationContext, + LocationServices.getFusedLocationProviderClient(applicationContext) + ) + val dementiaKey = getDementiaKey() + if (!getDementiaKey().isNullOrBlank()) + postLocationInfo(dementiaKey.toString()) + } + + private fun initSensor(){ + lightSensor.startListening() + lightSensor.setOnSensorValuesChangedListener { values -> + sensorValueList[LIGHT_SENSOR] = values + } + + magneticFieldSensor.startListening() + magneticFieldSensor.setOnSensorValuesChangedListener {values -> + sensorValueList[MAGNETIC_SENSOR] = values + } + + accelerometerSensor.startListening() + accelerometerSensor.setOnSensorValuesChangedListener { values -> + sensorValueList[ACCELEROMETER_SENSOR] = values + } + + gyroScopeSensor.startListening() + gyroScopeSensor.setOnSensorValuesChangedListener {values -> + sensorValueList[GYRO_SENSOR] = values + } + } + + private fun postLocationInfo(dementiaKey: String){ + serviceScope.launch { + while (true){ + if (checkReadyToPost()) { + val currentTime = getCurrentTime() + var userState = 0 + var isSuccess = false + val info = PostLocationInfoRequest(dementiaKey, locationInfo[LATITUDE], locationInfo[LONGITUDE], + currentTime[TIME].trim(), currentTime[DATE], locationExtraInfo[SPEED], + accelerationSensor = sensorValueList[ACCELEROMETER_SENSOR], + gyroSensor = sensorValueList[GYRO_SENSOR], + directionSensor = sensorValueList[MAGNETIC_SENSOR], + lightSensor = sensorValueList[LIGHT_SENSOR], + battery = getBatteryPercent()!!, bearing = locationExtraInfo[BEARING], + isGpsOn = locationClient.getGpsStatus(), isInternetOn = true, isRingstoneOn = getRingMode() + ) + sendLocation(info) + Log.d("info", info.toString()) + repository.postLocationInfo(info).onSuccess { + userState = it.result + isSuccess = true + }.onException { + isSuccess = false + Log.d("error", it.toString()) + } + // AI 정보 수집을 위한 함수 + saveFile(currentTime[DATE], currentTime[TIME].trim(), userState.toString(), isSuccess.toString()) + delay(1000 * 30) + } + } + } + } + + private fun saveFile(date: String, time: String, userState: String, isError: String){ + val internalFile = InternalFileStorageUtil(applicationContext) + internalFile.appendContentToFile("${locationInfo[LATITUDE]}, ${locationInfo[LONGITUDE]}, " + + "$date $time, " + "$userState, $isError") + } + + private fun getDementiaKey(): String?{ + val dementiaKeySpf = applicationContext.getSharedPreferences("User", MODE_PRIVATE) + return dementiaKeySpf.getString("key", "") + } + + private fun checkReadyToPost(): Boolean{ + return !locationInfo[LATITUDE].equals(0.0) && !locationInfo[LONGITUDE].equals(0.0) && sensorValueList[MAGNETIC_SENSOR].isNotEmpty() + && sensorValueList[LIGHT_SENSOR].isNotEmpty() && sensorValueList[ACCELEROMETER_SENSOR].isNotEmpty() + && sensorValueList[GYRO_SENSOR].isNotEmpty() + } + + @SuppressLint("SimpleDateFormat") + private fun getCurrentTime(): List{ + Locale.setDefault(Locale.KOREA) + val currentTime = System.currentTimeMillis() + val date = Date(currentTime) + val sdf = SimpleDateFormat("yyyy-MM-dd HH:mm:ss", Locale.getDefault()) + val now = sdf.format(date) + Log.d("now", now) + return now.split(" ") + } + + private fun getBatteryPercent(): Int?{ + val batteryStatus = registerReceiver(null, IntentFilter(Intent.ACTION_BATTERY_CHANGED)) + return batteryStatus?.let { + val level = it.getIntExtra(BatteryManager.EXTRA_LEVEL, -1) + val scale = it.getIntExtra(BatteryManager.EXTRA_SCALE, -1) + level * 100 / scale + } + } + + private fun getRingMode(): Int{ + val audioManager = applicationContext.getSystemService(Context.AUDIO_SERVICE) as AudioManager + return audioManager.ringerMode + // ringMode 2: 벨소리 + } + + override fun onStartCommand(intent: Intent?, flags: Int, startId: Int): Int { + when(intent?.action){ + ACTION_START -> start() + ACTION_STOP -> stop() + } + return super.onStartCommand(intent, flags, startId) + } + + private fun start(){ + val notification = NotificationCompat.Builder(this, "location") + .setContentTitle("어디U 어플에서 위치정보를 수집중입니다.") + .setContentText("Location: null") + .setSmallIcon(R.drawable.ic_launcher_background) + .setOngoing(true) + + val notificationManager = getSystemService(Context.NOTIFICATION_SERVICE) as NotificationManager + + locationClient + .getLocationUpdates(5*1000L) + .catch { e -> e.printStackTrace() } + .onEach { location -> + locationInfo[LATITUDE] = location.latitude + locationInfo[LONGITUDE] = location.longitude + locationExtraInfo[SPEED] = location.speed + locationExtraInfo[BEARING] = location.bearing + Log.d("speed", "${location.speed}") + val updatedNotification = notification.setContentText( + "Location: (${location.latitude}, ${location.longitude}) speed: ${location.speed}" + ) + notificationManager.notify(1, updatedNotification.build()) + }.launchIn(serviceScope) + startForeground(1, notification.build()) + } + + private fun sendLocation(postLocationInfoRequest: PostLocationInfoRequest){ + val intent = Intent("gps") + intent.putExtra("postInfo", postLocationInfoRequest) + //intent.putExtra("long", long) + localBroadcastManager.sendBroadcast(intent) + } + + private fun stop(){ + stopForeground(true) + stopSelf() + } + + override fun onDestroy() { + super.onDestroy() + serviceScope.cancel() + } + + companion object{ + const val ACTION_START = "ACTION_START" + const val ACTION_STOP = "ACTION_STOP" + + const val LIGHT_SENSOR = 0 + const val GYRO_SENSOR = 1 + const val ACCELEROMETER_SENSOR = 2 + const val MAGNETIC_SENSOR = 3 + + const val LATITUDE = 0 + const val LONGITUDE = 1 + + const val SPEED = 0 + const val BEARING = 1 + + const val DATE = 0 + const val TIME = 1 + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/network/NaverInterceptor.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/network/NaverInterceptor.kt index 77b9e426..c402b34b 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/network/NaverInterceptor.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/network/NaverInterceptor.kt @@ -1,6 +1,8 @@ package kr.ac.tukorea.whereareu.util.network import android.util.Log +import kr.ac.tukorea.whereareu.R +import kr.ac.tukorea.whereareu.WhereAreUApplication import kr.ac.tukorea.whereareu.util.AppConfig import okhttp3.Interceptor import okhttp3.MediaType.Companion.toMediaTypeOrNull @@ -9,8 +11,8 @@ import okhttp3.Response class NaverInterceptor : Interceptor { override fun intercept(chain: Interceptor.Chain): Response = with(chain) { val newRequest = request().newBuilder() - .addHeader("X-NCP-APIGW-API-KEY-ID", "nq32q75cmc") - .addHeader("X-NCP-APIGW-API-KEY", "QRTGSGeI8H8Lwa8VtDweNbfCBbAneU5yvJqG8Awg") + .addHeader("X-NCP-APIGW-API-KEY-ID", WhereAreUApplication.getString(R.string.naver_client_key)) + .addHeader("X-NCP-APIGW-API-KEY", WhereAreUApplication.getString(R.string.naver_client_secret_key)) .build() proceed(newRequest) diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/sensor/AndroidSensor.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/sensor/AndroidSensor.kt index 483c0895..43f4c342 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/sensor/AndroidSensor.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/sensor/AndroidSensor.kt @@ -1,52 +1,52 @@ -package kr.ac.tukorea.whereareu.util.sensor - -import android.content.Context -import android.hardware.Sensor -import android.hardware.SensorEvent -import android.hardware.SensorEventListener -import android.hardware.SensorManager - -abstract class AndroidSensor( - private val context: Context, - private val sensorFeature: String, - sensorType: Int -) : MeasurableSensor(sensorType), SensorEventListener { - - override val doesSensorExist: Boolean - get() = context.packageManager.hasSystemFeature(sensorFeature) - - private lateinit var sensorManager: SensorManager - private var sensor: Sensor? = null - override fun startListening() { - if(!doesSensorExist){ - return - } - if(!::sensorManager.isInitialized && sensor == null){ - sensorManager = context.getSystemService(SensorManager::class.java) as SensorManager - sensor = sensorManager.getDefaultSensor(sensorType) - } - sensor?.let { - sensorManager.registerListener(this, it, SensorManager.SENSOR_DELAY_NORMAL) - } - } - - override fun stopListening() { - if(!doesSensorExist || !::sensorManager.isInitialized){ - return - } - sensorManager.unregisterListener(this) - } - - override fun onSensorChanged(event: SensorEvent?) { - if(!doesSensorExist){ - return - } - if(event?.sensor?.type == sensorType){ - onSensorValueChanged?.invoke(event.values.toList()) - } - } - - override fun onAccuracyChanged(sensor: Sensor?, accuracy: Int) { - - } +package kr.ac.tukorea.whereareu.util.sensor + +import android.content.Context +import android.hardware.Sensor +import android.hardware.SensorEvent +import android.hardware.SensorEventListener +import android.hardware.SensorManager + +abstract class AndroidSensor( + private val context: Context, + private val sensorFeature: String, + sensorType: Int +) : MeasurableSensor(sensorType), SensorEventListener { + + override val doesSensorExist: Boolean + get() = context.packageManager.hasSystemFeature(sensorFeature) + + private lateinit var sensorManager: SensorManager + private var sensor: Sensor? = null + override fun startListening() { + if(!doesSensorExist){ + return + } + if(!::sensorManager.isInitialized && sensor == null){ + sensorManager = context.getSystemService(SensorManager::class.java) as SensorManager + sensor = sensorManager.getDefaultSensor(sensorType) + } + sensor?.let { + sensorManager.registerListener(this, it, SensorManager.SENSOR_DELAY_NORMAL) + } + } + + override fun stopListening() { + if(!doesSensorExist || !::sensorManager.isInitialized){ + return + } + sensorManager.unregisterListener(this) + } + + override fun onSensorChanged(event: SensorEvent?) { + if(!doesSensorExist){ + return + } + if(event?.sensor?.type == sensorType){ + onSensorValueChanged?.invoke(event.values.toList()) + } + } + + override fun onAccuracyChanged(sensor: Sensor?, accuracy: Int) { + + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/sensor/MeasurableSensor.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/sensor/MeasurableSensor.kt index dac23651..9456fd00 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/sensor/MeasurableSensor.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/sensor/MeasurableSensor.kt @@ -1,18 +1,18 @@ -package kr.ac.tukorea.whereareu.util.sensor - -abstract class MeasurableSensor( - protected val sensorType: Int -) { - - protected var onSensorValueChanged: ((List) -> Unit)? = null - - abstract val doesSensorExist: Boolean - - abstract fun startListening() - - abstract fun stopListening() - - fun setOnSensorValuesChangedListener(listener: (List) -> Unit){ - onSensorValueChanged = listener - } +package kr.ac.tukorea.whereareu.util.sensor + +abstract class MeasurableSensor( + protected val sensorType: Int +) { + + protected var onSensorValueChanged: ((List) -> Unit)? = null + + abstract val doesSensorExist: Boolean + + abstract fun startListening() + + abstract fun stopListening() + + fun setOnSensorValuesChangedListener(listener: (List) -> Unit){ + onSensorValueChanged = listener + } } \ No newline at end of file diff --git a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/sensor/Sensors.kt b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/sensor/Sensors.kt index 4f4b6749..55b5a0ce 100644 --- a/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/sensor/Sensors.kt +++ b/frontend/app/src/main/java/kr/ac/tukorea/whereareu/util/sensor/Sensors.kt @@ -1,37 +1,37 @@ -package kr.ac.tukorea.whereareu.util.sensor - -import android.content.Context -import android.content.pm.PackageManager -import android.hardware.Sensor -import kr.ac.tukorea.whereareu.util.sensor.AndroidSensor - -class AccelerometerSensor( - context: Context -): AndroidSensor( - context = context, - sensorFeature = PackageManager.FEATURE_SENSOR_ACCELEROMETER, - sensorType = Sensor.TYPE_ACCELEROMETER -) -class GyroScopeSensor( - context: Context -): AndroidSensor( - context = context, - sensorFeature = PackageManager.FEATURE_SENSOR_GYROSCOPE, - sensorType = Sensor.TYPE_GYROSCOPE -) - -class MagneticFieldSensor( - context: Context -): AndroidSensor( - context = context, - sensorFeature = PackageManager.FEATURE_SENSOR_COMPASS, - sensorType = Sensor.TYPE_MAGNETIC_FIELD -) - -class LightSensor( - context: Context -): AndroidSensor( - context = context, - sensorFeature = PackageManager.FEATURE_SENSOR_LIGHT, - sensorType = Sensor.TYPE_GYROSCOPE +package kr.ac.tukorea.whereareu.util.sensor + +import android.content.Context +import android.content.pm.PackageManager +import android.hardware.Sensor +import kr.ac.tukorea.whereareu.util.sensor.AndroidSensor + +class AccelerometerSensor( + context: Context +): AndroidSensor( + context = context, + sensorFeature = PackageManager.FEATURE_SENSOR_ACCELEROMETER, + sensorType = Sensor.TYPE_ACCELEROMETER +) +class GyroScopeSensor( + context: Context +): AndroidSensor( + context = context, + sensorFeature = PackageManager.FEATURE_SENSOR_GYROSCOPE, + sensorType = Sensor.TYPE_GYROSCOPE +) + +class MagneticFieldSensor( + context: Context +): AndroidSensor( + context = context, + sensorFeature = PackageManager.FEATURE_SENSOR_COMPASS, + sensorType = Sensor.TYPE_MAGNETIC_FIELD +) + +class LightSensor( + context: Context +): AndroidSensor( + context = context, + sensorFeature = PackageManager.FEATURE_SENSOR_LIGHT, + sensorType = Sensor.TYPE_GYROSCOPE ) \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/bg_bottom_navigation.xml b/frontend/app/src/main/res/drawable/bg_bottom_navigation.xml index 904121a1..9bd4d549 100644 --- a/frontend/app/src/main/res/drawable/bg_bottom_navigation.xml +++ b/frontend/app/src/main/res/drawable/bg_bottom_navigation.xml @@ -1,6 +1,6 @@ - - - - + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/bottom_color_selector.xml b/frontend/app/src/main/res/drawable/bottom_color_selector.xml index 1ad6f845..8625ef99 100644 --- a/frontend/app/src/main/res/drawable/bottom_color_selector.xml +++ b/frontend/app/src/main/res/drawable/bottom_color_selector.xml @@ -1,5 +1,5 @@ - - - - + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/ic_add_24.xml b/frontend/app/src/main/res/drawable/ic_add_24.xml new file mode 100644 index 00000000..9f83b8fb --- /dev/null +++ b/frontend/app/src/main/res/drawable/ic_add_24.xml @@ -0,0 +1,5 @@ + + + + + diff --git a/frontend/app/src/main/res/drawable/ic_alert.xml b/frontend/app/src/main/res/drawable/ic_alert.xml index 96061883..d5edac1e 100644 --- a/frontend/app/src/main/res/drawable/ic_alert.xml +++ b/frontend/app/src/main/res/drawable/ic_alert.xml @@ -1,12 +1,12 @@ - - - + + + diff --git a/frontend/app/src/main/res/drawable/ic_alert_inner.xml b/frontend/app/src/main/res/drawable/ic_alert_inner.xml index b3097d5c..16d9d2f3 100644 --- a/frontend/app/src/main/res/drawable/ic_alert_inner.xml +++ b/frontend/app/src/main/res/drawable/ic_alert_inner.xml @@ -1,15 +1,15 @@ - - - - + + + + diff --git a/frontend/app/src/main/res/drawable/ic_area_group.png b/frontend/app/src/main/res/drawable/ic_area_group.png deleted file mode 100644 index b9759feb..00000000 Binary files a/frontend/app/src/main/res/drawable/ic_area_group.png and /dev/null differ diff --git a/frontend/app/src/main/res/drawable/ic_arrow_back_24.xml b/frontend/app/src/main/res/drawable/ic_arrow_back_24.xml index f140d340..0e822056 100644 --- a/frontend/app/src/main/res/drawable/ic_arrow_back_24.xml +++ b/frontend/app/src/main/res/drawable/ic_arrow_back_24.xml @@ -1,13 +1,13 @@ - - - - - - + + + + + + diff --git a/frontend/app/src/main/res/drawable/ic_battery.xml b/frontend/app/src/main/res/drawable/ic_battery.xml index 25a3b509..d3add9c8 100644 --- a/frontend/app/src/main/res/drawable/ic_battery.xml +++ b/frontend/app/src/main/res/drawable/ic_battery.xml @@ -1,9 +1,9 @@ - - - + + + diff --git a/frontend/app/src/main/res/drawable/ic_call.xml b/frontend/app/src/main/res/drawable/ic_call.xml index 931f575f..e15c4170 100644 --- a/frontend/app/src/main/res/drawable/ic_call.xml +++ b/frontend/app/src/main/res/drawable/ic_call.xml @@ -1,9 +1,9 @@ - - - + + + diff --git a/frontend/app/src/main/res/drawable/ic_date.xml b/frontend/app/src/main/res/drawable/ic_date.xml index 17dc2702..5d78d4c7 100644 --- a/frontend/app/src/main/res/drawable/ic_date.xml +++ b/frontend/app/src/main/res/drawable/ic_date.xml @@ -1,9 +1,9 @@ - - - + + + diff --git a/frontend/app/src/main/res/drawable/ic_folder_24.xml b/frontend/app/src/main/res/drawable/ic_folder_24.xml new file mode 100644 index 00000000..b5fa19cd --- /dev/null +++ b/frontend/app/src/main/res/drawable/ic_folder_24.xml @@ -0,0 +1,9 @@ + + + diff --git a/frontend/app/src/main/res/drawable/ic_guardian.png b/frontend/app/src/main/res/drawable/ic_guardian.png deleted file mode 100644 index c61a5095..00000000 Binary files a/frontend/app/src/main/res/drawable/ic_guardian.png and /dev/null differ diff --git a/frontend/app/src/main/res/drawable/ic_home.xml b/frontend/app/src/main/res/drawable/ic_home.xml index d6019c7b..6952eaca 100644 --- a/frontend/app/src/main/res/drawable/ic_home.xml +++ b/frontend/app/src/main/res/drawable/ic_home.xml @@ -1,9 +1,9 @@ - - - + + + diff --git a/frontend/app/src/main/res/drawable/ic_launcher_background.xml b/frontend/app/src/main/res/drawable/ic_launcher_background.xml index f2428fa0..755f0834 100644 --- a/frontend/app/src/main/res/drawable/ic_launcher_background.xml +++ b/frontend/app/src/main/res/drawable/ic_launcher_background.xml @@ -1,78 +1,78 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/frontend/app/src/main/res/drawable/ic_launcher_foreground.xml b/frontend/app/src/main/res/drawable/ic_launcher_foreground.xml index 3ab951af..8845c41f 100644 --- a/frontend/app/src/main/res/drawable/ic_launcher_foreground.xml +++ b/frontend/app/src/main/res/drawable/ic_launcher_foreground.xml @@ -1,17 +1,17 @@ - - - - - - + + + + + + diff --git a/frontend/app/src/main/res/drawable/ic_location_history.xml b/frontend/app/src/main/res/drawable/ic_location_history.xml index 1cce5f2d..a4a1e0d9 100644 --- a/frontend/app/src/main/res/drawable/ic_location_history.xml +++ b/frontend/app/src/main/res/drawable/ic_location_history.xml @@ -1,9 +1,9 @@ - - - + + + diff --git a/frontend/app/src/main/res/drawable/ic_pin.xml b/frontend/app/src/main/res/drawable/ic_pin.xml index 8b723732..0991cd7b 100644 --- a/frontend/app/src/main/res/drawable/ic_pin.xml +++ b/frontend/app/src/main/res/drawable/ic_pin.xml @@ -1,9 +1,9 @@ - - - + + + diff --git a/frontend/app/src/main/res/drawable/ic_profile.png b/frontend/app/src/main/res/drawable/ic_profile.png deleted file mode 100644 index 8734b3e2..00000000 Binary files a/frontend/app/src/main/res/drawable/ic_profile.png and /dev/null differ diff --git a/frontend/app/src/main/res/drawable/ic_protect.xml b/frontend/app/src/main/res/drawable/ic_protect.xml index 3d20bf01..3ebbd620 100644 --- a/frontend/app/src/main/res/drawable/ic_protect.xml +++ b/frontend/app/src/main/res/drawable/ic_protect.xml @@ -1,9 +1,9 @@ - - - + + + diff --git a/frontend/app/src/main/res/drawable/ic_search.xml b/frontend/app/src/main/res/drawable/ic_search.xml index 5e22a474..6578a6ab 100644 --- a/frontend/app/src/main/res/drawable/ic_search.xml +++ b/frontend/app/src/main/res/drawable/ic_search.xml @@ -1,9 +1,9 @@ - - - + + + diff --git a/frontend/app/src/main/res/drawable/ic_setting.xml b/frontend/app/src/main/res/drawable/ic_setting.xml index 97154740..e8b264be 100644 --- a/frontend/app/src/main/res/drawable/ic_setting.xml +++ b/frontend/app/src/main/res/drawable/ic_setting.xml @@ -1,9 +1,9 @@ - - - + + + diff --git a/frontend/app/src/main/res/drawable/ic_siren.xml b/frontend/app/src/main/res/drawable/ic_siren.xml index b3438a16..3f8ac3b0 100644 --- a/frontend/app/src/main/res/drawable/ic_siren.xml +++ b/frontend/app/src/main/res/drawable/ic_siren.xml @@ -1,10 +1,10 @@ - - - + + + diff --git a/frontend/app/src/main/res/drawable/ic_time.xml b/frontend/app/src/main/res/drawable/ic_time.xml index 47f918b7..9cc8d919 100644 --- a/frontend/app/src/main/res/drawable/ic_time.xml +++ b/frontend/app/src/main/res/drawable/ic_time.xml @@ -1,9 +1,9 @@ - - - + + + diff --git a/frontend/app/src/main/res/drawable/ic_wifi_off.xml b/frontend/app/src/main/res/drawable/ic_wifi_off.xml index 78a00b44..a3738a44 100644 --- a/frontend/app/src/main/res/drawable/ic_wifi_off.xml +++ b/frontend/app/src/main/res/drawable/ic_wifi_off.xml @@ -1,9 +1,9 @@ - - - + + + diff --git a/frontend/app/src/main/res/drawable/ic_wifi_on.xml b/frontend/app/src/main/res/drawable/ic_wifi_on.xml index 4c534b25..ca808be9 100644 --- a/frontend/app/src/main/res/drawable/ic_wifi_on.xml +++ b/frontend/app/src/main/res/drawable/ic_wifi_on.xml @@ -1,9 +1,9 @@ - - - + + + diff --git a/frontend/app/src/main/res/drawable/oval_black.xml b/frontend/app/src/main/res/drawable/oval_black.xml new file mode 100644 index 00000000..bbec454d --- /dev/null +++ b/frontend/app/src/main/res/drawable/oval_black.xml @@ -0,0 +1,4 @@ + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/oval_blue.xml b/frontend/app/src/main/res/drawable/oval_blue.xml new file mode 100644 index 00000000..da85c931 --- /dev/null +++ b/frontend/app/src/main/res/drawable/oval_blue.xml @@ -0,0 +1,4 @@ + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/oval_red.xml b/frontend/app/src/main/res/drawable/oval_red.xml new file mode 100644 index 00000000..0d0c15eb --- /dev/null +++ b/frontend/app/src/main/res/drawable/oval_red.xml @@ -0,0 +1,4 @@ + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/oval.xml b/frontend/app/src/main/res/drawable/oval_yellow.xml similarity index 100% rename from frontend/app/src/main/res/drawable/oval.xml rename to frontend/app/src/main/res/drawable/oval_yellow.xml diff --git a/frontend/app/src/main/res/drawable/rectangle_corner_10.xml b/frontend/app/src/main/res/drawable/rectangle_corner_10.xml index 04927c38..6b401728 100644 --- a/frontend/app/src/main/res/drawable/rectangle_corner_10.xml +++ b/frontend/app/src/main/res/drawable/rectangle_corner_10.xml @@ -1,6 +1,6 @@ - - - - + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/rectangle_corner_10_white.xml b/frontend/app/src/main/res/drawable/rectangle_corner_10_white.xml index d1777226..c89ef372 100644 --- a/frontend/app/src/main/res/drawable/rectangle_corner_10_white.xml +++ b/frontend/app/src/main/res/drawable/rectangle_corner_10_white.xml @@ -1,7 +1,7 @@ - - - - - + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/rectangle_corner_10_white_stroke_yellow.xml b/frontend/app/src/main/res/drawable/rectangle_corner_10_white_stroke_yellow.xml new file mode 100644 index 00000000..b38ff3c1 --- /dev/null +++ b/frontend/app/src/main/res/drawable/rectangle_corner_10_white_stroke_yellow.xml @@ -0,0 +1,9 @@ + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/rectangle_corner_50.xml b/frontend/app/src/main/res/drawable/rectangle_corner_50.xml index 12feb9e1..fa7eb6ff 100644 --- a/frontend/app/src/main/res/drawable/rectangle_corner_50.xml +++ b/frontend/app/src/main/res/drawable/rectangle_corner_50.xml @@ -1,7 +1,7 @@ - - - - - + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/rectangle_top_corner_20_gray_bg.xml b/frontend/app/src/main/res/drawable/rectangle_top_corner_20_gray_bg.xml new file mode 100644 index 00000000..42cd6f28 --- /dev/null +++ b/frontend/app/src/main/res/drawable/rectangle_top_corner_20_gray_bg.xml @@ -0,0 +1,7 @@ + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/seekbar_progress_purple.xml b/frontend/app/src/main/res/drawable/seekbar_progress_purple.xml new file mode 100644 index 00000000..00cd793f --- /dev/null +++ b/frontend/app/src/main/res/drawable/seekbar_progress_purple.xml @@ -0,0 +1,9 @@ + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/seekbar_purple.xml b/frontend/app/src/main/res/drawable/seekbar_purple.xml new file mode 100644 index 00000000..b177881f --- /dev/null +++ b/frontend/app/src/main/res/drawable/seekbar_purple.xml @@ -0,0 +1,12 @@ + + + + + + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/seekbar_thumb_purple.xml b/frontend/app/src/main/res/drawable/seekbar_thumb_purple.xml new file mode 100644 index 00000000..9c06ca15 --- /dev/null +++ b/frontend/app/src/main/res/drawable/seekbar_thumb_purple.xml @@ -0,0 +1,12 @@ + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/selecor_radio_text.xml b/frontend/app/src/main/res/drawable/selecor_radio_text.xml new file mode 100644 index 00000000..b385cef0 --- /dev/null +++ b/frontend/app/src/main/res/drawable/selecor_radio_text.xml @@ -0,0 +1,5 @@ + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/selecor_radio_text_saturday.xml b/frontend/app/src/main/res/drawable/selecor_radio_text_saturday.xml new file mode 100644 index 00000000..23e8a05d --- /dev/null +++ b/frontend/app/src/main/res/drawable/selecor_radio_text_saturday.xml @@ -0,0 +1,5 @@ + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/selecor_radio_text_sunday.xml b/frontend/app/src/main/res/drawable/selecor_radio_text_sunday.xml new file mode 100644 index 00000000..93178b4f --- /dev/null +++ b/frontend/app/src/main/res/drawable/selecor_radio_text_sunday.xml @@ -0,0 +1,5 @@ + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/selector_day_of_week_radio_button.xml b/frontend/app/src/main/res/drawable/selector_day_of_week_radio_button.xml new file mode 100644 index 00000000..01829c62 --- /dev/null +++ b/frontend/app/src/main/res/drawable/selector_day_of_week_radio_button.xml @@ -0,0 +1,4 @@ + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/bg_button.xml b/frontend/app/src/main/res/drawable/selector_radio.xml similarity index 63% rename from frontend/app/src/main/res/drawable/bg_button.xml rename to frontend/app/src/main/res/drawable/selector_radio.xml index 7c979b5f..c319a504 100644 --- a/frontend/app/src/main/res/drawable/bg_button.xml +++ b/frontend/app/src/main/res/drawable/selector_radio.xml @@ -1,7 +1,6 @@ - - + android:shape="oval"> + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/selector_radio_button.xml b/frontend/app/src/main/res/drawable/selector_radio_button.xml new file mode 100644 index 00000000..f1bec5ea --- /dev/null +++ b/frontend/app/src/main/res/drawable/selector_radio_button.xml @@ -0,0 +1,5 @@ + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/splash_resize.xml b/frontend/app/src/main/res/drawable/splash_resize.xml index 7a7b0ca9..f16ce917 100644 --- a/frontend/app/src/main/res/drawable/splash_resize.xml +++ b/frontend/app/src/main/res/drawable/splash_resize.xml @@ -1,7 +1,7 @@ - - - + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/toast_bg.xml b/frontend/app/src/main/res/drawable/toast_bg.xml index a47f0554..f69e759b 100644 --- a/frontend/app/src/main/res/drawable/toast_bg.xml +++ b/frontend/app/src/main/res/drawable/toast_bg.xml @@ -1,8 +1,8 @@ - - - - - - + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/drawable/unselected_radio_button.xml b/frontend/app/src/main/res/drawable/unselected_radio_button.xml new file mode 100644 index 00000000..8b896891 --- /dev/null +++ b/frontend/app/src/main/res/drawable/unselected_radio_button.xml @@ -0,0 +1,5 @@ + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/layout/activity_dementia_main.xml b/frontend/app/src/main/res/layout/activity_dementia_main.xml index c2a66556..0e3e31be 100644 --- a/frontend/app/src/main/res/layout/activity_dementia_main.xml +++ b/frontend/app/src/main/res/layout/activity_dementia_main.xml @@ -1,52 +1,52 @@ - - - - - - - - - - - - - + + + + + + + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/layout/activity_login.xml b/frontend/app/src/main/res/layout/activity_login.xml index 1eb8aeb2..560030f2 100644 --- a/frontend/app/src/main/res/layout/activity_login.xml +++ b/frontend/app/src/main/res/layout/activity_login.xml @@ -1,25 +1,25 @@ - - - - - - - - - + + + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/layout/activity_nok_main.xml b/frontend/app/src/main/res/layout/activity_nok_main.xml index 41ef849f..2d9032e6 100644 --- a/frontend/app/src/main/res/layout/activity_nok_main.xml +++ b/frontend/app/src/main/res/layout/activity_nok_main.xml @@ -1,520 +1,708 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/layout/dialog_create_safe_area_group.xml b/frontend/app/src/main/res/layout/dialog_create_safe_area_group.xml new file mode 100644 index 00000000..1d44ff8c --- /dev/null +++ b/frontend/app/src/main/res/layout/dialog_create_safe_area_group.xml @@ -0,0 +1,72 @@ + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/layout/dialog_search_address.xml b/frontend/app/src/main/res/layout/dialog_search_address.xml new file mode 100644 index 00000000..e0bb616b --- /dev/null +++ b/frontend/app/src/main/res/layout/dialog_search_address.xml @@ -0,0 +1,30 @@ + + + + + + + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/layout/dialog_select_group.xml b/frontend/app/src/main/res/layout/dialog_select_group.xml new file mode 100644 index 00000000..16c87dc8 --- /dev/null +++ b/frontend/app/src/main/res/layout/dialog_select_group.xml @@ -0,0 +1,53 @@ + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/layout/fragment_dementia_authority_page.xml b/frontend/app/src/main/res/layout/fragment_dementia_authority_page.xml index 91315d8b..6c9518d7 100644 --- a/frontend/app/src/main/res/layout/fragment_dementia_authority_page.xml +++ b/frontend/app/src/main/res/layout/fragment_dementia_authority_page.xml @@ -1,157 +1,157 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/layout/fragment_home.xml b/frontend/app/src/main/res/layout/fragment_home.xml index 84d81497..989ebed5 100644 --- a/frontend/app/src/main/res/layout/fragment_home.xml +++ b/frontend/app/src/main/res/layout/fragment_home.xml @@ -1,143 +1,241 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/layout/fragment_location_history.xml b/frontend/app/src/main/res/layout/fragment_location_history.xml index b8570cf7..9c872f87 100644 --- a/frontend/app/src/main/res/layout/fragment_location_history.xml +++ b/frontend/app/src/main/res/layout/fragment_location_history.xml @@ -1,246 +1,233 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/layout/fragment_login.xml b/frontend/app/src/main/res/layout/fragment_login.xml index b3e358cb..1567acc2 100644 --- a/frontend/app/src/main/res/layout/fragment_login.xml +++ b/frontend/app/src/main/res/layout/fragment_login.xml @@ -1,129 +1,129 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/layout/fragment_meaningful_list.xml b/frontend/app/src/main/res/layout/fragment_meaningful_list.xml deleted file mode 100644 index cabb2b1b..00000000 --- a/frontend/app/src/main/res/layout/fragment_meaningful_list.xml +++ /dev/null @@ -1,22 +0,0 @@ - - - - - - - - - - - - - \ No newline at end of file diff --git a/frontend/app/src/main/res/layout/fragment_meaningful_place.xml b/frontend/app/src/main/res/layout/fragment_meaningful_place.xml index 006ada25..3cd44c88 100644 --- a/frontend/app/src/main/res/layout/fragment_meaningful_place.xml +++ b/frontend/app/src/main/res/layout/fragment_meaningful_place.xml @@ -1,25 +1,25 @@ - - - - - - - - - - - - + + + + + + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/layout/fragment_meaningful_place_detail.xml b/frontend/app/src/main/res/layout/fragment_meaningful_place_detail.xml new file mode 100644 index 00000000..426d1580 --- /dev/null +++ b/frontend/app/src/main/res/layout/fragment_meaningful_place_detail.xml @@ -0,0 +1,241 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/frontend/app/src/main/res/layout/fragment_nok_identity.xml b/frontend/app/src/main/res/layout/fragment_nok_identity.xml index 0c6dde01..fdf24a6d 100644 --- a/frontend/app/src/main/res/layout/fragment_nok_identity.xml +++ b/frontend/app/src/main/res/layout/fragment_nok_identity.xml @@ -1,137 +1,137 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -