Data_preprocessing_visualization.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing required modules "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import scipy.io\n",
    "import pandas as pd\n",
    "import numpy as np \n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Understanding the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['__header__', '__version__', '__globals__', 'array'])\n",
      "b'MATLAB 5.0 MAT-file, Platform: PCWIN64, Created on: Sun Dec 13 22:04:23 2020'\n",
      "1.0\n",
      "[]\n",
      "<class 'numpy.ndarray'>\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(1, 101)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = scipy.io.loadmat('D:\\design lab\\case1_10.mat')\n",
    "\n",
    "print(data.keys())\n",
    "print(data[\"__header__\"])\n",
    "print(data[\"__version__\"])\n",
    "print(data[\"__globals__\"])\n",
    "a=data[\"array\"]\n",
    "print(type(data[\"array\"])) \n",
    "data[\"array\"].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### visualising the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'numpy.void'>\n",
      "<class 'numpy.ndarray'> (97,)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(type(a[0][0]))\n",
    "# a[0][0][\"Amp\"][0].shape\n",
    "Amp_data=a[0][0][\"Amp\"][0].reshape(-1)\n",
    "print(type(Amp_data),Amp_data.shape)\n",
    "\n",
    "DifferenceAmp_data=data[\"array\"][0][0][\"DifferenceAmp\"][0]\n",
    "Phase_data=data[\"array\"][0][0][\"Phase\"][0]\n",
    "DiffPhase_data=data[\"array\"][0][0][\"DiffPhase\"][0]\n",
    "\n",
    "\n",
    "# fig, axs = plt.subplots(2, 2,gridspec_kw={'width_ratios': [10, 10]})\n",
    "fig, axs = plt.subplots(2, 2, figsize = (15, 10))\n",
    "axs[0, 0].plot(Amp_data)\n",
    "axs[0, 0].set_title('Amplitude')\n",
    "axs[0, 1].plot(Phase_data, 'tab:orange')\n",
    "axs[0, 1].set_title('Phase')\n",
    "axs[1, 0].plot(DifferenceAmp_data, 'tab:green')\n",
    "axs[1, 0].set_title('Difference Amplitude')\n",
    "axs[1, 1].plot(DiffPhase_data, 'tab:red')\n",
    "axs[1, 1].set_title('Differnece Phase')\n",
    "\n",
    "plt.subplots_adjust(left=0.1, \n",
    "                    bottom=0.1,  \n",
    "                    right=0.9,  \n",
    "                    top=0.9,  \n",
    "                    wspace=0.4,  \n",
    "                    hspace=0.4) \n",
    "\n",
    "plt.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### from the visualising the above data we get realation that difference in Amplitude give a better insight of intrusion  so further computations is done by condisdering the difference in amplitude as main parameter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating dataframe  and adding data for Deep learning model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# creating data frame\n",
    "col =list()\n",
    "\n",
    "for i in range(1,98):\n",
    "    col.append(\"z\"+str(i))\n",
    "col.extend([\"start_point\",\"end_point\"])\n",
    "col.append(\"isIntrusion\")\n",
    "col.append(\"intrusion_zone\")\n",
    "df= pd.DataFrame(columns=col)\n",
    "\n",
    "for zone in range(0,97,10):\n",
    "    path = f\"D:\\design lab\\case1_{zone}.mat\"\n",
    "    data = scipy.io.loadmat(path)\n",
    "    data= data[\"array\"]\n",
    "    for i in range(0,100):\n",
    "        df_row=data[0][i][\"DifferenceAmp\"][0]\n",
    "        df_row=list(df_row)\n",
    "        df_row=[x.real for x in df_row]\n",
    "        try:\n",
    "            d1=data[0][i][\"Distance\"][0][0]\n",
    "        except:\n",
    "            d1=-1\n",
    "        try:\n",
    "            d2=data[0][i][\"Distance\"][0][-1]\n",
    "        except:\n",
    "            d2=-1\n",
    "        if zone == 0:\n",
    "            intru= 0\n",
    "        else :\n",
    "            intru =1\n",
    "\n",
    "        df_row.extend([d1,d2,intru,zone])\n",
    "        df.loc[len(df.index)] = df_row\n",
    "df.to_csv('Data_set.csv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>z1</th>\n",
       "      <th>z2</th>\n",
       "      <th>z3</th>\n",
       "      <th>z4</th>\n",
       "      <th>z5</th>\n",
       "      <th>z6</th>\n",
       "      <th>z7</th>\n",
       "      <th>z8</th>\n",
       "      <th>z9</th>\n",
       "      <th>z10</th>\n",
       "      <th>...</th>\n",
       "      <th>z92</th>\n",
       "      <th>z93</th>\n",
       "      <th>z94</th>\n",
       "      <th>z95</th>\n",
       "      <th>z96</th>\n",
       "      <th>z97</th>\n",
       "      <th>start_point</th>\n",
       "      <th>end_point</th>\n",
       "      <th>isIntrusion</th>\n",
       "      <th>intrusion_zone</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3.479755e-11</td>\n",
       "      <td>1.729669e-06</td>\n",
       "      <td>-1.074505e-06</td>\n",
       "      <td>1.696733e-06</td>\n",
       "      <td>1.408154e-06</td>\n",
       "      <td>-1.247660e-06</td>\n",
       "      <td>4.392523e-07</td>\n",
       "      <td>-1.822577e-07</td>\n",
       "      <td>-1.978193e-06</td>\n",
       "      <td>-4.215552e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>4.510038e-07</td>\n",
       "      <td>4.933022e-08</td>\n",
       "      <td>-1.209462e-06</td>\n",
       "      <td>8.495825e-08</td>\n",
       "      <td>-1.360888e-07</td>\n",
       "      <td>-8.673617e-19</td>\n",
       "      <td>0.009132</td>\n",
       "      <td>40.904136</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-5.774669e-10</td>\n",
       "      <td>-9.667019e-07</td>\n",
       "      <td>-1.172746e-06</td>\n",
       "      <td>-8.148441e-07</td>\n",
       "      <td>-1.085682e-06</td>\n",
       "      <td>-2.618001e-08</td>\n",
       "      <td>1.536875e-06</td>\n",
       "      <td>-4.809667e-07</td>\n",
       "      <td>7.355430e-08</td>\n",
       "      <td>1.620232e-06</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.559091e-07</td>\n",
       "      <td>9.168085e-07</td>\n",
       "      <td>8.087109e-07</td>\n",
       "      <td>7.078943e-07</td>\n",
       "      <td>4.946341e-07</td>\n",
       "      <td>-6.505213e-19</td>\n",
       "      <td>41.005079</td>\n",
       "      <td>81.806418</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.974670e-10</td>\n",
       "      <td>5.440602e-07</td>\n",
       "      <td>5.968525e-07</td>\n",
       "      <td>-2.136242e-08</td>\n",
       "      <td>-2.463316e-07</td>\n",
       "      <td>4.842712e-07</td>\n",
       "      <td>-8.860241e-07</td>\n",
       "      <td>6.470653e-07</td>\n",
       "      <td>5.430934e-07</td>\n",
       "      <td>-1.458603e-06</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.413626e-06</td>\n",
       "      <td>1.379344e-07</td>\n",
       "      <td>-3.167636e-07</td>\n",
       "      <td>-5.100911e-07</td>\n",
       "      <td>-4.025520e-07</td>\n",
       "      <td>1.301043e-18</td>\n",
       "      <td>81.912590</td>\n",
       "      <td>122.817894</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-2.959882e-10</td>\n",
       "      <td>3.390513e-07</td>\n",
       "      <td>2.861875e-07</td>\n",
       "      <td>1.237342e-06</td>\n",
       "      <td>1.548561e-06</td>\n",
       "      <td>-4.017564e-07</td>\n",
       "      <td>-7.252355e-07</td>\n",
       "      <td>-5.407646e-07</td>\n",
       "      <td>-1.974723e-08</td>\n",
       "      <td>-8.548541e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.269420e-06</td>\n",
       "      <td>3.904686e-07</td>\n",
       "      <td>-5.901801e-07</td>\n",
       "      <td>9.370105e-07</td>\n",
       "      <td>1.087443e-07</td>\n",
       "      <td>-3.373336e-09</td>\n",
       "      <td>122.893114</td>\n",
       "      <td>163.760757</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.426321e-10</td>\n",
       "      <td>-8.383938e-07</td>\n",
       "      <td>-8.720060e-08</td>\n",
       "      <td>-1.354042e-06</td>\n",
       "      <td>-1.309397e-06</td>\n",
       "      <td>9.558595e-07</td>\n",
       "      <td>9.235621e-07</td>\n",
       "      <td>1.726365e-06</td>\n",
       "      <td>1.359531e-07</td>\n",
       "      <td>-4.867452e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.116315e-06</td>\n",
       "      <td>-1.872924e-06</td>\n",
       "      <td>3.991558e-07</td>\n",
       "      <td>-2.448489e-07</td>\n",
       "      <td>2.474903e-07</td>\n",
       "      <td>3.373336e-09</td>\n",
       "      <td>163.940041</td>\n",
       "      <td>204.690356</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>-5.202278e-11</td>\n",
       "      <td>1.098688e-07</td>\n",
       "      <td>3.952340e-07</td>\n",
       "      <td>6.814923e-07</td>\n",
       "      <td>1.182114e-06</td>\n",
       "      <td>2.072835e-06</td>\n",
       "      <td>-2.556871e-06</td>\n",
       "      <td>1.528595e-06</td>\n",
       "      <td>-6.189744e-07</td>\n",
       "      <td>-9.790348e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.884772e-08</td>\n",
       "      <td>4.673556e-07</td>\n",
       "      <td>8.285986e-08</td>\n",
       "      <td>-3.239867e-07</td>\n",
       "      <td>-6.497717e-08</td>\n",
       "      <td>-4.238809e-09</td>\n",
       "      <td>3890.800196</td>\n",
       "      <td>3931.689324</td>\n",
       "      <td>1.0</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>2.588881e-11</td>\n",
       "      <td>-2.587924e-07</td>\n",
       "      <td>6.578643e-07</td>\n",
       "      <td>4.216475e-07</td>\n",
       "      <td>7.080463e-08</td>\n",
       "      <td>-8.236128e-07</td>\n",
       "      <td>1.194204e-06</td>\n",
       "      <td>-9.646360e-07</td>\n",
       "      <td>1.542499e-06</td>\n",
       "      <td>9.728379e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.726179e-07</td>\n",
       "      <td>-5.457951e-07</td>\n",
       "      <td>-7.996542e-07</td>\n",
       "      <td>9.085225e-07</td>\n",
       "      <td>-1.156364e-07</td>\n",
       "      <td>4.238809e-09</td>\n",
       "      <td>3931.805823</td>\n",
       "      <td>3972.608877</td>\n",
       "      <td>1.0</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>3.584851e-11</td>\n",
       "      <td>3.731920e-07</td>\n",
       "      <td>-7.471863e-07</td>\n",
       "      <td>-5.700638e-07</td>\n",
       "      <td>-5.766880e-07</td>\n",
       "      <td>-3.465784e-07</td>\n",
       "      <td>-1.445149e-06</td>\n",
       "      <td>2.766901e-07</td>\n",
       "      <td>-1.502998e-06</td>\n",
       "      <td>4.228883e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.202585e-07</td>\n",
       "      <td>-1.212448e-07</td>\n",
       "      <td>-8.838473e-07</td>\n",
       "      <td>-1.765579e-06</td>\n",
       "      <td>-2.921522e-07</td>\n",
       "      <td>-4.336809e-18</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>-1.273899e-10</td>\n",
       "      <td>2.941989e-09</td>\n",
       "      <td>-5.594470e-08</td>\n",
       "      <td>-2.658361e-07</td>\n",
       "      <td>-4.511490e-07</td>\n",
       "      <td>-8.021342e-07</td>\n",
       "      <td>-2.809009e-07</td>\n",
       "      <td>-6.737728e-07</td>\n",
       "      <td>3.515293e-07</td>\n",
       "      <td>8.803461e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>4.155812e-08</td>\n",
       "      <td>1.723475e-07</td>\n",
       "      <td>1.176146e-06</td>\n",
       "      <td>1.166014e-06</td>\n",
       "      <td>6.551157e-07</td>\n",
       "      <td>-2.168404e-18</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>3.813970e-11</td>\n",
       "      <td>-4.194108e-07</td>\n",
       "      <td>-3.216319e-07</td>\n",
       "      <td>3.494217e-07</td>\n",
       "      <td>4.709815e-07</td>\n",
       "      <td>3.003397e-06</td>\n",
       "      <td>3.650498e-08</td>\n",
       "      <td>5.327286e-07</td>\n",
       "      <td>-2.080653e-06</td>\n",
       "      <td>9.789200e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>4.043898e-07</td>\n",
       "      <td>7.342415e-07</td>\n",
       "      <td>-1.606330e-07</td>\n",
       "      <td>2.571624e-07</td>\n",
       "      <td>-2.815504e-07</td>\n",
       "      <td>-2.664706e-10</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 101 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               z1            z2            z3            z4            z5  \\\n",
       "0    3.479755e-11  1.729669e-06 -1.074505e-06  1.696733e-06  1.408154e-06   \n",
       "1   -5.774669e-10 -9.667019e-07 -1.172746e-06 -8.148441e-07 -1.085682e-06   \n",
       "2    7.974670e-10  5.440602e-07  5.968525e-07 -2.136242e-08 -2.463316e-07   \n",
       "3   -2.959882e-10  3.390513e-07  2.861875e-07  1.237342e-06  1.548561e-06   \n",
       "4    1.426321e-10 -8.383938e-07 -8.720060e-08 -1.354042e-06 -1.309397e-06   \n",
       "..            ...           ...           ...           ...           ...   \n",
       "995 -5.202278e-11  1.098688e-07  3.952340e-07  6.814923e-07  1.182114e-06   \n",
       "996  2.588881e-11 -2.587924e-07  6.578643e-07  4.216475e-07  7.080463e-08   \n",
       "997  3.584851e-11  3.731920e-07 -7.471863e-07 -5.700638e-07 -5.766880e-07   \n",
       "998 -1.273899e-10  2.941989e-09 -5.594470e-08 -2.658361e-07 -4.511490e-07   \n",
       "999  3.813970e-11 -4.194108e-07 -3.216319e-07  3.494217e-07  4.709815e-07   \n",
       "\n",
       "               z6            z7            z8            z9           z10  \\\n",
       "0   -1.247660e-06  4.392523e-07 -1.822577e-07 -1.978193e-06 -4.215552e-08   \n",
       "1   -2.618001e-08  1.536875e-06 -4.809667e-07  7.355430e-08  1.620232e-06   \n",
       "2    4.842712e-07 -8.860241e-07  6.470653e-07  5.430934e-07 -1.458603e-06   \n",
       "3   -4.017564e-07 -7.252355e-07 -5.407646e-07 -1.974723e-08 -8.548541e-07   \n",
       "4    9.558595e-07  9.235621e-07  1.726365e-06  1.359531e-07 -4.867452e-07   \n",
       "..            ...           ...           ...           ...           ...   \n",
       "995  2.072835e-06 -2.556871e-06  1.528595e-06 -6.189744e-07 -9.790348e-07   \n",
       "996 -8.236128e-07  1.194204e-06 -9.646360e-07  1.542499e-06  9.728379e-07   \n",
       "997 -3.465784e-07 -1.445149e-06  2.766901e-07 -1.502998e-06  4.228883e-07   \n",
       "998 -8.021342e-07 -2.809009e-07 -6.737728e-07  3.515293e-07  8.803461e-07   \n",
       "999  3.003397e-06  3.650498e-08  5.327286e-07 -2.080653e-06  9.789200e-07   \n",
       "\n",
       "     ...           z92           z93           z94           z95  \\\n",
       "0    ...  4.510038e-07  4.933022e-08 -1.209462e-06  8.495825e-08   \n",
       "1    ... -2.559091e-07  9.168085e-07  8.087109e-07  7.078943e-07   \n",
       "2    ... -1.413626e-06  1.379344e-07 -3.167636e-07 -5.100911e-07   \n",
       "3    ...  2.269420e-06  3.904686e-07 -5.901801e-07  9.370105e-07   \n",
       "4    ... -2.116315e-06 -1.872924e-06  3.991558e-07 -2.448489e-07   \n",
       "..   ...           ...           ...           ...           ...   \n",
       "995  ... -6.884772e-08  4.673556e-07  8.285986e-08 -3.239867e-07   \n",
       "996  ... -2.726179e-07 -5.457951e-07 -7.996542e-07  9.085225e-07   \n",
       "997  ... -2.202585e-07 -1.212448e-07 -8.838473e-07 -1.765579e-06   \n",
       "998  ...  4.155812e-08  1.723475e-07  1.176146e-06  1.166014e-06   \n",
       "999  ...  4.043898e-07  7.342415e-07 -1.606330e-07  2.571624e-07   \n",
       "\n",
       "              z96           z97  start_point    end_point  isIntrusion  \\\n",
       "0   -1.360888e-07 -8.673617e-19     0.009132    40.904136          0.0   \n",
       "1    4.946341e-07 -6.505213e-19    41.005079    81.806418          0.0   \n",
       "2   -4.025520e-07  1.301043e-18    81.912590   122.817894          0.0   \n",
       "3    1.087443e-07 -3.373336e-09   122.893114   163.760757          0.0   \n",
       "4    2.474903e-07  3.373336e-09   163.940041   204.690356          0.0   \n",
       "..            ...           ...          ...          ...          ...   \n",
       "995 -6.497717e-08 -4.238809e-09  3890.800196  3931.689324          1.0   \n",
       "996 -1.156364e-07  4.238809e-09  3931.805823  3972.608877          1.0   \n",
       "997 -2.921522e-07 -4.336809e-18    -1.000000    -1.000000          1.0   \n",
       "998  6.551157e-07 -2.168404e-18    -1.000000    -1.000000          1.0   \n",
       "999 -2.815504e-07 -2.664706e-10    -1.000000    -1.000000          1.0   \n",
       "\n",
       "     intrusion_zone  \n",
       "0               0.0  \n",
       "1               0.0  \n",
       "2               0.0  \n",
       "3               0.0  \n",
       "4               0.0  \n",
       "..              ...  \n",
       "995            90.0  \n",
       "996            90.0  \n",
       "997            90.0  \n",
       "998            90.0  \n",
       "999            90.0  \n",
       "\n",
       "[1000 rows x 101 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  }
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