Customer_journey_dwell_times.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:100% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:100% !important; }</style>\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "File b'cust_journey/Customer Journey for Month of December.csv' does not exist",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-2-c43254cdb476>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mxls\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'cust_journey/Customer Journey for Month of December.csv'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msep\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m','\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0musecols\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m71\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnrows\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m100000\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/.local/lib/python3.5/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36mparser_f\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, skip_footer, doublequote, delim_whitespace, as_recarray, compact_ints, use_unsigned, low_memory, buffer_lines, memory_map, float_precision)\u001b[0m\n\u001b[1;32m    707\u001b[0m                     skip_blank_lines=skip_blank_lines)\n\u001b[1;32m    708\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 709\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    710\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    711\u001b[0m     \u001b[0mparser_f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.5/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m    447\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    448\u001b[0m     \u001b[0;31m# Create the parser.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 449\u001b[0;31m     \u001b[0mparser\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTextFileReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    450\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    451\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mchunksize\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0miterator\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.5/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m    816\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'has_index_names'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'has_index_names'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    817\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 818\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_engine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mengine\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    819\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    820\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.5/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m_make_engine\u001b[0;34m(self, engine)\u001b[0m\n\u001b[1;32m   1047\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_make_engine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'c'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1048\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'c'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1049\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mCParserWrapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1050\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1051\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'python'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.5/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, src, **kwds)\u001b[0m\n\u001b[1;32m   1693\u001b[0m         \u001b[0mkwds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'allow_leading_cols'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex_col\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1694\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1695\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparsers\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTextReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1696\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1697\u001b[0m         \u001b[0;31m# XXX\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader.__cinit__\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._setup_parser_source\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: File b'cust_journey/Customer Journey for Month of December.csv' does not exist"
     ]
    }
   ],
   "source": [
    "xls = pd.read_csv('cust_journey/Customer Journey for Month of December.csv', sep=',', usecols=[*range(0, 71)], nrows=100000 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = pd.DataFrame(xls)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df.dropna(how='any', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Encrypted Mac</th>\n",
       "      <th>Space Name</th>\n",
       "      <th>Space Type</th>\n",
       "      <th>Space Dwell</th>\n",
       "      <th>Space Name.1</th>\n",
       "      <th>Space Type.1</th>\n",
       "      <th>Space Dwell.1</th>\n",
       "      <th>Space Name.2</th>\n",
       "      <th>Space Type.2</th>\n",
       "      <th>...</th>\n",
       "      <th>Space Dwell.19</th>\n",
       "      <th>Space Name.20</th>\n",
       "      <th>Space Type.20</th>\n",
       "      <th>Space Dwell.20</th>\n",
       "      <th>Space Name.21</th>\n",
       "      <th>Space Type.21</th>\n",
       "      <th>Space Dwell.21</th>\n",
       "      <th>Space Name.22</th>\n",
       "      <th>Space Type.22</th>\n",
       "      <th>Space Dwell.22</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Fri Dec 01 20:01:20 EST 2017</td>\n",
       "      <td>-3190646203368694242</td>\n",
       "      <td>Uniqlo</td>\n",
       "      <td>STORE</td>\n",
       "      <td>10</td>\n",
       "      <td>Fragrance Society</td>\n",
       "      <td>STORE</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Mac Cosmetics</td>\n",
       "      <td>STORE</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Banana Republic</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>North Corridor Central 1</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>The Cheesecake Factory Entrance</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Fri Dec 01 20:01:40 EST 2017</td>\n",
       "      <td>-3179391220073838541</td>\n",
       "      <td>Uniqlo</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>Vacheron Constantin</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Aldo Accessories</td>\n",
       "      <td>STORE</td>\n",
       "      <td>...</td>\n",
       "      <td>19.0</td>\n",
       "      <td>South West Corridor 2</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Freedom Mobile</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>North Corridor West 2</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Fri Dec 01 20:01:40 EST 2017</td>\n",
       "      <td>-3361362079696780803</td>\n",
       "      <td>Mendocino</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Sandro</td>\n",
       "      <td>STORE</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Nordstrom</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>North Corridor Central 2</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>East Expansion North Corridor 1</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Fri Dec 01 20:02:20 EST 2017</td>\n",
       "      <td>-5480427668429567245</td>\n",
       "      <td>Bath &amp; Body Works</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>Fashion Corridor North 1</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Centre Corridor West 1</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>North Corridor Central 1</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Coach</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>West Expansion EW Corridor</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Fri Dec 01 20:02:50 EST 2017</td>\n",
       "      <td>-4502787887458951171</td>\n",
       "      <td>Aldo</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>Uniqlo</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Fairweather</td>\n",
       "      <td>STORE</td>\n",
       "      <td>...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Rudolph and I</td>\n",
       "      <td>STORE</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Versace</td>\n",
       "      <td>STORE</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Emerald Court 1</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 71 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Date        Encrypted Mac          Space Name  \\\n",
       "38  Fri Dec 01 20:01:20 EST 2017 -3190646203368694242              Uniqlo   \n",
       "47  Fri Dec 01 20:01:40 EST 2017 -3179391220073838541              Uniqlo   \n",
       "52  Fri Dec 01 20:01:40 EST 2017 -3361362079696780803           Mendocino   \n",
       "66  Fri Dec 01 20:02:20 EST 2017 -5480427668429567245   Bath & Body Works   \n",
       "83  Fri Dec 01 20:02:50 EST 2017 -4502787887458951171                Aldo   \n",
       "\n",
       "    Space Type   Space Dwell                Space Name.1  Space Type.1  \\\n",
       "38       STORE            10           Fragrance Society         STORE   \n",
       "47       STORE             0         Vacheron Constantin         STORE   \n",
       "52       STORE             2                   Swarovski         STORE   \n",
       "66       STORE             0    Fashion Corridor North 1         OTHER   \n",
       "83       STORE             2                      Uniqlo         STORE   \n",
       "\n",
       "     Space Dwell.1              Space Name.2  Space Type.2       ...         \\\n",
       "38            13.0             Mac Cosmetics         STORE       ...          \n",
       "47             2.0          Aldo Accessories         STORE       ...          \n",
       "52             3.0                    Sandro         STORE       ...          \n",
       "66             6.0    Centre Corridor West 1         OTHER       ...          \n",
       "83             3.0               Fairweather         STORE       ...          \n",
       "\n",
       "     Space Dwell.19               Space Name.20  Space Type.20  \\\n",
       "38              0.0             Banana Republic          STORE   \n",
       "47             19.0       South West Corridor 2          OTHER   \n",
       "52              3.0                   Nordstrom          STORE   \n",
       "66              0.0    North Corridor Central 1          OTHER   \n",
       "83              9.0               Rudolph and I          STORE   \n",
       "\n",
       "     Space Dwell.20               Space Name.21  Space Type.21  \\\n",
       "38              0.0    North Corridor Central 1          OTHER   \n",
       "47              3.0              Freedom Mobile          STORE   \n",
       "52              1.0    North Corridor Central 2          OTHER   \n",
       "66              1.0                       Coach          STORE   \n",
       "83              8.0                     Versace          STORE   \n",
       "\n",
       "     Space Dwell.21                      Space Name.22  Space Type.22  \\\n",
       "38              0.0    The Cheesecake Factory Entrance          OTHER   \n",
       "47              5.0              North Corridor West 2          OTHER   \n",
       "52              2.0    East Expansion North Corridor 1          OTHER   \n",
       "66              1.0         West Expansion EW Corridor          OTHER   \n",
       "83              9.0                    Emerald Court 1          OTHER   \n",
       "\n",
       "     Space Dwell.22  \n",
       "38              1.0  \n",
       "47              0.0  \n",
       "52              0.0  \n",
       "66              0.0  \n",
       "83              0.0  \n",
       "\n",
       "[5 rows x 71 columns]"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Encrypted Mac</th>\n",
       "      <th>Space Dwell</th>\n",
       "      <th>Space Dwell.1</th>\n",
       "      <th>Space Dwell.2</th>\n",
       "      <th>Space Dwell.3</th>\n",
       "      <th>Space Dwell.4</th>\n",
       "      <th>Space Dwell.5</th>\n",
       "      <th>Space Dwell.6</th>\n",
       "      <th>Space Dwell.7</th>\n",
       "      <th>Space Dwell.8</th>\n",
       "      <th>...</th>\n",
       "      <th>Space Dwell.13</th>\n",
       "      <th>Space Dwell.14</th>\n",
       "      <th>Space Dwell.15</th>\n",
       "      <th>Space Dwell.16</th>\n",
       "      <th>Space Dwell.17</th>\n",
       "      <th>Space Dwell.18</th>\n",
       "      <th>Space Dwell.19</th>\n",
       "      <th>Space Dwell.20</th>\n",
       "      <th>Space Dwell.21</th>\n",
       "      <th>Space Dwell.22</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.002500e+04</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "      <td>10025.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>-6.393771e+17</td>\n",
       "      <td>4.924489</td>\n",
       "      <td>5.764289</td>\n",
       "      <td>6.947431</td>\n",
       "      <td>7.235212</td>\n",
       "      <td>7.121297</td>\n",
       "      <td>6.912120</td>\n",
       "      <td>6.182344</td>\n",
       "      <td>6.368878</td>\n",
       "      <td>5.721097</td>\n",
       "      <td>...</td>\n",
       "      <td>5.067531</td>\n",
       "      <td>5.077107</td>\n",
       "      <td>5.077606</td>\n",
       "      <td>4.861746</td>\n",
       "      <td>5.020748</td>\n",
       "      <td>4.886983</td>\n",
       "      <td>5.479102</td>\n",
       "      <td>5.426135</td>\n",
       "      <td>5.165387</td>\n",
       "      <td>5.309825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>5.503371e+18</td>\n",
       "      <td>11.278904</td>\n",
       "      <td>13.149002</td>\n",
       "      <td>14.432948</td>\n",
       "      <td>15.137654</td>\n",
       "      <td>16.397644</td>\n",
       "      <td>15.822752</td>\n",
       "      <td>14.271372</td>\n",
       "      <td>16.868943</td>\n",
       "      <td>14.505765</td>\n",
       "      <td>...</td>\n",
       "      <td>12.614920</td>\n",
       "      <td>15.233686</td>\n",
       "      <td>13.128378</td>\n",
       "      <td>12.216377</td>\n",
       "      <td>14.450143</td>\n",
       "      <td>12.764000</td>\n",
       "      <td>13.561195</td>\n",
       "      <td>13.974408</td>\n",
       "      <td>13.980368</td>\n",
       "      <td>14.046950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-9.214106e+18</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-5.551373e+18</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>-8.832899e+17</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.637077e+18</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.358315e+18</td>\n",
       "      <td>204.000000</td>\n",
       "      <td>510.000000</td>\n",
       "      <td>282.000000</td>\n",
       "      <td>231.000000</td>\n",
       "      <td>563.000000</td>\n",
       "      <td>364.000000</td>\n",
       "      <td>275.000000</td>\n",
       "      <td>542.000000</td>\n",
       "      <td>219.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>260.000000</td>\n",
       "      <td>799.000000</td>\n",
       "      <td>293.000000</td>\n",
       "      <td>364.000000</td>\n",
       "      <td>771.000000</td>\n",
       "      <td>475.000000</td>\n",
       "      <td>294.000000</td>\n",
       "      <td>263.000000</td>\n",
       "      <td>554.000000</td>\n",
       "      <td>608.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Encrypted Mac   Space Dwell   Space Dwell.1   Space Dwell.2  \\\n",
       "count    1.002500e+04  10025.000000    10025.000000    10025.000000   \n",
       "mean    -6.393771e+17      4.924489        5.764289        6.947431   \n",
       "std      5.503371e+18     11.278904       13.149002       14.432948   \n",
       "min     -9.214106e+18      0.000000        0.000000        0.000000   \n",
       "25%     -5.551373e+18      0.000000        0.000000        1.000000   \n",
       "50%     -8.832899e+17      2.000000        2.000000        2.000000   \n",
       "75%      4.637077e+18      5.000000        6.000000        7.000000   \n",
       "max      8.358315e+18    204.000000      510.000000      282.000000   \n",
       "\n",
       "        Space Dwell.3   Space Dwell.4   Space Dwell.5   Space Dwell.6  \\\n",
       "count    10025.000000    10025.000000    10025.000000    10025.000000   \n",
       "mean         7.235212        7.121297        6.912120        6.182344   \n",
       "std         15.137654       16.397644       15.822752       14.271372   \n",
       "min          0.000000        0.000000        0.000000        0.000000   \n",
       "25%          1.000000        1.000000        0.000000        0.000000   \n",
       "50%          2.000000        2.000000        2.000000        2.000000   \n",
       "75%          7.000000        6.000000        6.000000        5.000000   \n",
       "max        231.000000      563.000000      364.000000      275.000000   \n",
       "\n",
       "        Space Dwell.7   Space Dwell.8       ...          Space Dwell.13  \\\n",
       "count    10025.000000    10025.000000       ...            10025.000000   \n",
       "mean         6.368878        5.721097       ...                5.067531   \n",
       "std         16.868943       14.505765       ...               12.614920   \n",
       "min          0.000000        0.000000       ...                0.000000   \n",
       "25%          0.000000        0.000000       ...                0.000000   \n",
       "50%          2.000000        2.000000       ...                2.000000   \n",
       "75%          5.000000        5.000000       ...                5.000000   \n",
       "max        542.000000      219.000000       ...              260.000000   \n",
       "\n",
       "        Space Dwell.14   Space Dwell.15   Space Dwell.16   Space Dwell.17  \\\n",
       "count     10025.000000     10025.000000     10025.000000     10025.000000   \n",
       "mean          5.077107         5.077606         4.861746         5.020748   \n",
       "std          15.233686        13.128378        12.216377        14.450143   \n",
       "min           0.000000         0.000000         0.000000         0.000000   \n",
       "25%           0.000000         0.000000         0.000000         0.000000   \n",
       "50%           2.000000         1.000000         2.000000         2.000000   \n",
       "75%           5.000000         4.000000         4.000000         4.000000   \n",
       "max         799.000000       293.000000       364.000000       771.000000   \n",
       "\n",
       "        Space Dwell.18   Space Dwell.19   Space Dwell.20   Space Dwell.21  \\\n",
       "count     10025.000000     10025.000000     10025.000000     10025.000000   \n",
       "mean          4.886983         5.479102         5.426135         5.165387   \n",
       "std          12.764000        13.561195        13.974408        13.980368   \n",
       "min           0.000000         0.000000         0.000000         0.000000   \n",
       "25%           0.000000         0.000000         0.000000         0.000000   \n",
       "50%           1.000000         2.000000         2.000000         2.000000   \n",
       "75%           4.000000         5.000000         5.000000         4.000000   \n",
       "max         475.000000       294.000000       263.000000       554.000000   \n",
       "\n",
       "        Space Dwell.22  \n",
       "count     10025.000000  \n",
       "mean          5.309825  \n",
       "std          14.046950  \n",
       "min           0.000000  \n",
       "25%           0.000000  \n",
       "50%           2.000000  \n",
       "75%           5.000000  \n",
       "max         608.000000  \n",
       "\n",
       "[8 rows x 24 columns]"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Date', ' Encrypted Mac', ' Space Name', ' Space Type', ' Space Dwell',\n",
       "       ' Space Name.1', ' Space Type.1', ' Space Dwell.1', ' Space Name.2',\n",
       "       ' Space Type.2', ' Space Dwell.2', ' Space Name.3', ' Space Type.3',\n",
       "       ' Space Dwell.3', ' Space Name.4', ' Space Type.4', ' Space Dwell.4',\n",
       "       ' Space Name.5', ' Space Type.5', ' Space Dwell.5', ' Space Name.6',\n",
       "       ' Space Type.6', ' Space Dwell.6', ' Space Name.7', ' Space Type.7',\n",
       "       ' Space Dwell.7', ' Space Name.8', ' Space Type.8', ' Space Dwell.8',\n",
       "       ' Space Name.9', ' Space Type.9', ' Space Dwell.9', ' Space Name.10',\n",
       "       ' Space Type.10', ' Space Dwell.10', ' Space Name.11', ' Space Type.11',\n",
       "       ' Space Dwell.11', ' Space Name.12', ' Space Type.12',\n",
       "       ' Space Dwell.12', ' Space Name.13', ' Space Type.13',\n",
       "       ' Space Dwell.13', ' Space Name.14', ' Space Type.14',\n",
       "       ' Space Dwell.14', ' Space Name.15', ' Space Type.15',\n",
       "       ' Space Dwell.15', ' Space Name.16', ' Space Type.16',\n",
       "       ' Space Dwell.16', ' Space Name.17', ' Space Type.17',\n",
       "       ' Space Dwell.17', ' Space Name.18', ' Space Type.18',\n",
       "       ' Space Dwell.18', ' Space Name.19', ' Space Type.19',\n",
       "       ' Space Dwell.19', ' Space Name.20', ' Space Type.20',\n",
       "       ' Space Dwell.20', ' Space Name.21', ' Space Type.21',\n",
       "       ' Space Dwell.21', ' Space Name.22', ' Space Type.22',\n",
       "       ' Space Dwell.22'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# rename columns\n",
    "mapping = { df.columns[1]:'MAC', df.columns[3]:'Space00',  df.columns[6]:'Space1',  df.columns[9]:'Space2',  df.columns[12]:'Space3',  df.columns[15]:'Space4',  df.columns[18]:'Space5',  df.columns[21]:'Space6',  df.columns[24]:'Space7', \n",
    "           df.columns[4]:'dwell00', df.columns[7]:'dwell1', df.columns[10]: 'dwell2', df.columns[13]: 'dwell3', df.columns[16]: 'dwell4',df.columns[19]: 'dwell5',df.columns[22]: 'dwell6',df.columns[25]: 'dwell7',df.columns[28]: 'dwell8'          }\n",
    "df.rename(columns=mapping, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mapping2 = { df.columns[27]:'Space8', df.columns[30]:'Space9',  df.columns[31]:'dwell9',  df.columns[33]:'Space10',  df.columns[34]:'dwell10',  df.columns[36]:'Space11',  \n",
    "            df.columns[37]:'dwell11',  df.columns[39]:'Space12',  df.columns[40]:'dwell12', \n",
    "           df.columns[42]:'Space13', df.columns[43]:'dwell13', df.columns[45]: 'Space14', df.columns[46]: 'dwell14' }\n",
    "df.rename(columns=mapping2, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Date', 'MAC', ' Space Name', 'Space00', 'dwell00', ' Space Name.1',\n",
       "       'Space1', 'dwell1', ' Space Name.2', 'Space2', 'dwell2',\n",
       "       ' Space Name.3', 'Space3', 'dwell3', ' Space Name.4', 'Space4',\n",
       "       'dwell4', ' Space Name.5', 'Space5', 'dwell5', ' Space Name.6',\n",
       "       'Space6', 'dwell6', ' Space Name.7', 'Space7', 'dwell7',\n",
       "       ' Space Name.8', 'Space8', 'dwell8', ' Space Name.9', 'Space9',\n",
       "       'dwell9', ' Space Name.10', 'Space10', 'dwell10', ' Space Name.11',\n",
       "       'Space11', 'dwell11', ' Space Name.12', 'Space12', 'dwell12',\n",
       "       ' Space Name.13', 'Space13', 'dwell13', ' Space Name.14', 'Space14',\n",
       "       'dwell14', ' Space Name.15', ' Space Type.15', ' Space Dwell.15',\n",
       "       ' Space Name.16', ' Space Type.16', ' Space Dwell.16', ' Space Name.17',\n",
       "       ' Space Type.17', ' Space Dwell.17', ' Space Name.18', ' Space Type.18',\n",
       "       ' Space Dwell.18', ' Space Name.19', ' Space Type.19',\n",
       "       ' Space Dwell.19', ' Space Name.20', ' Space Type.20',\n",
       "       ' Space Dwell.20', ' Space Name.21', ' Space Type.21',\n",
       "       ' Space Dwell.21', ' Space Name.22', ' Space Type.22',\n",
       "       ' Space Dwell.22'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>MAC</th>\n",
       "      <th>Space Name</th>\n",
       "      <th>Space00</th>\n",
       "      <th>dwell00</th>\n",
       "      <th>Space Name.1</th>\n",
       "      <th>Space1</th>\n",
       "      <th>dwell1</th>\n",
       "      <th>Space Name.2</th>\n",
       "      <th>Space2</th>\n",
       "      <th>...</th>\n",
       "      <th>Space Dwell.19</th>\n",
       "      <th>Space Name.20</th>\n",
       "      <th>Space Type.20</th>\n",
       "      <th>Space Dwell.20</th>\n",
       "      <th>Space Name.21</th>\n",
       "      <th>Space Type.21</th>\n",
       "      <th>Space Dwell.21</th>\n",
       "      <th>Space Name.22</th>\n",
       "      <th>Space Type.22</th>\n",
       "      <th>Space Dwell.22</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Fri Dec 01 20:01:20 EST 2017</td>\n",
       "      <td>-3190646203368694242</td>\n",
       "      <td>Uniqlo</td>\n",
       "      <td>STORE</td>\n",
       "      <td>10</td>\n",
       "      <td>Fragrance Society</td>\n",
       "      <td>STORE</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Mac Cosmetics</td>\n",
       "      <td>STORE</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Banana Republic</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>North Corridor Central 1</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>The Cheesecake Factory Entrance</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Fri Dec 01 20:01:40 EST 2017</td>\n",
       "      <td>-3179391220073838541</td>\n",
       "      <td>Uniqlo</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>Vacheron Constantin</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Aldo Accessories</td>\n",
       "      <td>STORE</td>\n",
       "      <td>...</td>\n",
       "      <td>19.0</td>\n",
       "      <td>South West Corridor 2</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Freedom Mobile</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>North Corridor West 2</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Fri Dec 01 20:01:40 EST 2017</td>\n",
       "      <td>-3361362079696780803</td>\n",
       "      <td>Mendocino</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Sandro</td>\n",
       "      <td>STORE</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Nordstrom</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>North Corridor Central 2</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>East Expansion North Corridor 1</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Fri Dec 01 20:02:20 EST 2017</td>\n",
       "      <td>-5480427668429567245</td>\n",
       "      <td>Bath &amp; Body Works</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>Fashion Corridor North 1</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Centre Corridor West 1</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>North Corridor Central 1</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Coach</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>West Expansion EW Corridor</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Fri Dec 01 20:02:50 EST 2017</td>\n",
       "      <td>-4502787887458951171</td>\n",
       "      <td>Aldo</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>Uniqlo</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Fairweather</td>\n",
       "      <td>STORE</td>\n",
       "      <td>...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Rudolph and I</td>\n",
       "      <td>STORE</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Versace</td>\n",
       "      <td>STORE</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Emerald Court 1</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 71 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Date                  MAC          Space Name  \\\n",
       "38  Fri Dec 01 20:01:20 EST 2017 -3190646203368694242              Uniqlo   \n",
       "47  Fri Dec 01 20:01:40 EST 2017 -3179391220073838541              Uniqlo   \n",
       "52  Fri Dec 01 20:01:40 EST 2017 -3361362079696780803           Mendocino   \n",
       "66  Fri Dec 01 20:02:20 EST 2017 -5480427668429567245   Bath & Body Works   \n",
       "83  Fri Dec 01 20:02:50 EST 2017 -4502787887458951171                Aldo   \n",
       "\n",
       "   Space00  dwell00                Space Name.1  Space1  dwell1  \\\n",
       "38   STORE       10           Fragrance Society   STORE    13.0   \n",
       "47   STORE        0         Vacheron Constantin   STORE     2.0   \n",
       "52   STORE        2                   Swarovski   STORE     3.0   \n",
       "66   STORE        0    Fashion Corridor North 1   OTHER     6.0   \n",
       "83   STORE        2                      Uniqlo   STORE     3.0   \n",
       "\n",
       "                Space Name.2  Space2       ...          Space Dwell.19  \\\n",
       "38             Mac Cosmetics   STORE       ...                     0.0   \n",
       "47          Aldo Accessories   STORE       ...                    19.0   \n",
       "52                    Sandro   STORE       ...                     3.0   \n",
       "66    Centre Corridor West 1   OTHER       ...                     0.0   \n",
       "83               Fairweather   STORE       ...                     9.0   \n",
       "\n",
       "                 Space Name.20  Space Type.20   Space Dwell.20  \\\n",
       "38             Banana Republic          STORE              0.0   \n",
       "47       South West Corridor 2          OTHER              3.0   \n",
       "52                   Nordstrom          STORE              1.0   \n",
       "66    North Corridor Central 1          OTHER              1.0   \n",
       "83               Rudolph and I          STORE              8.0   \n",
       "\n",
       "                 Space Name.21  Space Type.21   Space Dwell.21  \\\n",
       "38    North Corridor Central 1          OTHER              0.0   \n",
       "47              Freedom Mobile          STORE              5.0   \n",
       "52    North Corridor Central 2          OTHER              2.0   \n",
       "66                       Coach          STORE              1.0   \n",
       "83                     Versace          STORE              9.0   \n",
       "\n",
       "                        Space Name.22  Space Type.22   Space Dwell.22  \n",
       "38    The Cheesecake Factory Entrance          OTHER              1.0  \n",
       "47              North Corridor West 2          OTHER              0.0  \n",
       "52    East Expansion North Corridor 1          OTHER              0.0  \n",
       "66         West Expansion EW Corridor          OTHER              0.0  \n",
       "83                    Emerald Court 1          OTHER              0.0  \n",
       "\n",
       "[5 rows x 71 columns]"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df2 = df # so I don't have to reload df again after messing around"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "droplist= [' Space Name', ' Space Name.1', ' Space Name.2',' Space Name.3',  ' Space Name.4', ' Space Name.5', ' Space Name.6', ' Space Name.7', \n",
    "        ' Space Name.8', ' Space Name.9', ' Space Name.10', ' Space Name.11', ' Space Name.12',  ' Space Name.13', ' Space Name.14',\n",
    "        ' Space Name.15', ' Space Type.15', ' Space Dwell.15', ' Space Name.16', ' Space Type.16', ' Space Dwell.16',\n",
    "        ' Space Name.17', ' Space Type.17', ' Space Dwell.17', ' Space Name.18', ' Space Type.18', ' Space Dwell.18', ' Space Name.19', ' Space Type.19', ' Space Dwell.19',\n",
    "        ' Space Name.20', ' Space Type.20', ' Space Dwell.20', ' Space Name.21', ' Space Type.21', ' Space Dwell.21', ' Space Name.22', ' Space Type.22', ' Space Dwell.22' ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Note - run the df2 = df EVERY TIME!!!\n",
    "df2.drop( droplist , inplace=True, axis =1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>MAC</th>\n",
       "      <th>Space00</th>\n",
       "      <th>dwell00</th>\n",
       "      <th>Space1</th>\n",
       "      <th>dwell1</th>\n",
       "      <th>Space2</th>\n",
       "      <th>dwell2</th>\n",
       "      <th>Space3</th>\n",
       "      <th>dwell3</th>\n",
       "      <th>...</th>\n",
       "      <th>Space10</th>\n",
       "      <th>dwell10</th>\n",
       "      <th>Space11</th>\n",
       "      <th>dwell11</th>\n",
       "      <th>Space12</th>\n",
       "      <th>dwell12</th>\n",
       "      <th>Space13</th>\n",
       "      <th>dwell13</th>\n",
       "      <th>Space14</th>\n",
       "      <th>dwell14</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Fri Dec 01 20:01:20 EST 2017</td>\n",
       "      <td>-3190646203368694242</td>\n",
       "      <td>STORE</td>\n",
       "      <td>10</td>\n",
       "      <td>STORE</td>\n",
       "      <td>13.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>4.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Fri Dec 01 20:01:40 EST 2017</td>\n",
       "      <td>-3179391220073838541</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>14.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>4.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Fri Dec 01 20:01:40 EST 2017</td>\n",
       "      <td>-3361362079696780803</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>30.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>12.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Fri Dec 01 20:02:20 EST 2017</td>\n",
       "      <td>-5480427668429567245</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>6.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>4.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>4.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Fri Dec 01 20:02:50 EST 2017</td>\n",
       "      <td>-4502787887458951171</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>41.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Fri Dec 01 20:03:30 EST 2017</td>\n",
       "      <td>4841791676214092387</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>15.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>7.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>Fri Dec 01 20:04:50 EST 2017</td>\n",
       "      <td>8358314298049893884</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Fri Dec 01 20:04:50 EST 2017</td>\n",
       "      <td>1322739155431497324</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>8.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>6.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>Fri Dec 01 20:06:20 EST 2017</td>\n",
       "      <td>-5632635172663340798</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>42.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>Fri Dec 01 20:06:30 EST 2017</td>\n",
       "      <td>-9037601284304271449</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>Fri Dec 01 20:07:30 EST 2017</td>\n",
       "      <td>277944349989111611</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>28.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>8.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>7.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>Fri Dec 01 20:07:30 EST 2017</td>\n",
       "      <td>-4475685973930294045</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>Fri Dec 01 20:07:50 EST 2017</td>\n",
       "      <td>-2146761446034496817</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>Fri Dec 01 20:08:10 EST 2017</td>\n",
       "      <td>8084537258552152954</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>Fri Dec 01 20:08:20 EST 2017</td>\n",
       "      <td>2511518461570221039</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>21.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>70.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>Fri Dec 01 20:11:10 EST 2017</td>\n",
       "      <td>-5698519493064106625</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>5.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>Fri Dec 01 20:13:30 EST 2017</td>\n",
       "      <td>5825760290086201860</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>10.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>Fri Dec 01 20:13:30 EST 2017</td>\n",
       "      <td>1202843135615204066</td>\n",
       "      <td>STORE</td>\n",
       "      <td>6</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>7.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>4.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>7.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>Fri Dec 01 20:13:40 EST 2017</td>\n",
       "      <td>-7904329683889186473</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>Fri Dec 01 20:16:30 EST 2017</td>\n",
       "      <td>2478784176405658787</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>15.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>8.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>11.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>4.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>Fri Dec 01 20:17:00 EST 2017</td>\n",
       "      <td>-7842457893236209186</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1</td>\n",
       "      <td>STORE</td>\n",
       "      <td>36.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>5.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>Fri Dec 01 20:17:40 EST 2017</td>\n",
       "      <td>-5701469653190967740</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>510</th>\n",
       "      <td>Fri Dec 01 20:17:50 EST 2017</td>\n",
       "      <td>-6717329876451087790</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>Fri Dec 01 20:18:40 EST 2017</td>\n",
       "      <td>4834788126350373553</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>7.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>20.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>13.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>4.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>551</th>\n",
       "      <td>Fri Dec 01 20:19:10 EST 2017</td>\n",
       "      <td>3629874955241488561</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>10.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>Fri Dec 01 20:19:50 EST 2017</td>\n",
       "      <td>8336177408681301898</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>6.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>158.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>724</th>\n",
       "      <td>Fri Dec 01 20:26:40 EST 2017</td>\n",
       "      <td>3572753298527106305</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>730</th>\n",
       "      <td>Fri Dec 01 20:27:00 EST 2017</td>\n",
       "      <td>-9021613801891117971</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>8.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>10.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>753</th>\n",
       "      <td>Fri Dec 01 20:28:20 EST 2017</td>\n",
       "      <td>-5496084252829694605</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>769</th>\n",
       "      <td>Fri Dec 01 20:29:00 EST 2017</td>\n",
       "      <td>-2246668626630861382</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>106.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>10.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</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>99713</th>\n",
       "      <td>Wed Dec 06 14:25:40 EST 2017</td>\n",
       "      <td>-5551373621160677282</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>5.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99718</th>\n",
       "      <td>Wed Dec 06 14:25:50 EST 2017</td>\n",
       "      <td>-2146762366756669130</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>14.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99722</th>\n",
       "      <td>Wed Dec 06 14:25:50 EST 2017</td>\n",
       "      <td>5997192904290423163</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99734</th>\n",
       "      <td>Wed Dec 06 14:26:10 EST 2017</td>\n",
       "      <td>4749584167442570847</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>15.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>8.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99736</th>\n",
       "      <td>Wed Dec 06 14:26:10 EST 2017</td>\n",
       "      <td>6959624058065761499</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>8.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99759</th>\n",
       "      <td>Wed Dec 06 14:27:30 EST 2017</td>\n",
       "      <td>-5480426861671279875</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>25.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>10.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>20.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>6.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99765</th>\n",
       "      <td>Wed Dec 06 14:27:40 EST 2017</td>\n",
       "      <td>-5480426912574438434</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>59.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>11.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>15.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>6.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99789</th>\n",
       "      <td>Wed Dec 06 14:28:40 EST 2017</td>\n",
       "      <td>-4356084657416983370</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>6.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99808</th>\n",
       "      <td>Wed Dec 06 14:29:20 EST 2017</td>\n",
       "      <td>8358313807142997218</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3</td>\n",
       "      <td>STORE</td>\n",
       "      <td>6.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>29.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99812</th>\n",
       "      <td>Wed Dec 06 14:29:50 EST 2017</td>\n",
       "      <td>2363943954055877360</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>7.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99849</th>\n",
       "      <td>Wed Dec 06 14:31:40 EST 2017</td>\n",
       "      <td>2501357798357580132</td>\n",
       "      <td>STORE</td>\n",
       "      <td>12</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>12.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>15.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99862</th>\n",
       "      <td>Wed Dec 06 14:32:00 EST 2017</td>\n",
       "      <td>-5698519305720059789</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>6.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99865</th>\n",
       "      <td>Wed Dec 06 14:32:10 EST 2017</td>\n",
       "      <td>3559621161047897345</td>\n",
       "      <td>STORE</td>\n",
       "      <td>10</td>\n",
       "      <td>STORE</td>\n",
       "      <td>12.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>10.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>8.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>22.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>23.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>7.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99876</th>\n",
       "      <td>Wed Dec 06 14:32:40 EST 2017</td>\n",
       "      <td>-5701469794191010297</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>11.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99878</th>\n",
       "      <td>Wed Dec 06 14:32:40 EST 2017</td>\n",
       "      <td>-6717951001161325271</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>19.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99888</th>\n",
       "      <td>Wed Dec 06 14:33:10 EST 2017</td>\n",
       "      <td>1332144690076566674</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99917</th>\n",
       "      <td>Wed Dec 06 14:34:00 EST 2017</td>\n",
       "      <td>4786096934863902471</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1</td>\n",
       "      <td>STORE</td>\n",
       "      <td>11.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>12.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>11.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99919</th>\n",
       "      <td>Wed Dec 06 14:34:00 EST 2017</td>\n",
       "      <td>6038609730706631571</td>\n",
       "      <td>STORE</td>\n",
       "      <td>14</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>13.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99930</th>\n",
       "      <td>Wed Dec 06 14:34:30 EST 2017</td>\n",
       "      <td>4786097067491662654</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>13.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99931</th>\n",
       "      <td>Wed Dec 06 14:34:30 EST 2017</td>\n",
       "      <td>3648461006256125598</td>\n",
       "      <td>STORE</td>\n",
       "      <td>26</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>5.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99935</th>\n",
       "      <td>Wed Dec 06 14:34:40 EST 2017</td>\n",
       "      <td>-9021613409506405405</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1</td>\n",
       "      <td>STORE</td>\n",
       "      <td>6.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>8.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>8.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99944</th>\n",
       "      <td>Wed Dec 06 14:35:20 EST 2017</td>\n",
       "      <td>7026891700892842851</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>7.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>72.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99946</th>\n",
       "      <td>Wed Dec 06 14:35:20 EST 2017</td>\n",
       "      <td>-2284877594753133313</td>\n",
       "      <td>STORE</td>\n",
       "      <td>13</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>7.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>4.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>6.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99950</th>\n",
       "      <td>Wed Dec 06 14:35:40 EST 2017</td>\n",
       "      <td>8318999280356533435</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3</td>\n",
       "      <td>STORE</td>\n",
       "      <td>20.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>114.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99953</th>\n",
       "      <td>Wed Dec 06 14:35:50 EST 2017</td>\n",
       "      <td>3559620819625074955</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>5.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99964</th>\n",
       "      <td>Wed Dec 06 14:36:20 EST 2017</td>\n",
       "      <td>2465870671259478833</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>5.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99975</th>\n",
       "      <td>Wed Dec 06 14:36:30 EST 2017</td>\n",
       "      <td>-7832064341464002286</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>32.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>4.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99984</th>\n",
       "      <td>Wed Dec 06 14:36:40 EST 2017</td>\n",
       "      <td>-1026510102060190065</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>69.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99990</th>\n",
       "      <td>Wed Dec 06 14:37:00 EST 2017</td>\n",
       "      <td>-9130427307508422108</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>11.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>7.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>31.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99996</th>\n",
       "      <td>Wed Dec 06 14:37:20 EST 2017</td>\n",
       "      <td>131976451894943001</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10025 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Date                  MAC Space00  dwell00  \\\n",
       "38     Fri Dec 01 20:01:20 EST 2017 -3190646203368694242   STORE       10   \n",
       "47     Fri Dec 01 20:01:40 EST 2017 -3179391220073838541   STORE        0   \n",
       "52     Fri Dec 01 20:01:40 EST 2017 -3361362079696780803   STORE        2   \n",
       "66     Fri Dec 01 20:02:20 EST 2017 -5480427668429567245   STORE        0   \n",
       "83     Fri Dec 01 20:02:50 EST 2017 -4502787887458951171   STORE        2   \n",
       "101    Fri Dec 01 20:03:30 EST 2017  4841791676214092387   STORE        1   \n",
       "140    Fri Dec 01 20:04:50 EST 2017  8358314298049893884   STORE        0   \n",
       "141    Fri Dec 01 20:04:50 EST 2017  1322739155431497324   STORE        2   \n",
       "182    Fri Dec 01 20:06:20 EST 2017 -5632635172663340798   OTHER        0   \n",
       "191    Fri Dec 01 20:06:30 EST 2017 -9037601284304271449   STORE        3   \n",
       "218    Fri Dec 01 20:07:30 EST 2017   277944349989111611   STORE        5   \n",
       "219    Fri Dec 01 20:07:30 EST 2017 -4475685973930294045   OTHER        0   \n",
       "231    Fri Dec 01 20:07:50 EST 2017 -2146761446034496817   STORE        2   \n",
       "241    Fri Dec 01 20:08:10 EST 2017  8084537258552152954   STORE        2   \n",
       "245    Fri Dec 01 20:08:20 EST 2017  2511518461570221039   STORE        2   \n",
       "313    Fri Dec 01 20:11:10 EST 2017 -5698519493064106625   STORE        1   \n",
       "379    Fri Dec 01 20:13:30 EST 2017  5825760290086201860   STORE        1   \n",
       "386    Fri Dec 01 20:13:30 EST 2017  1202843135615204066   STORE        6   \n",
       "389    Fri Dec 01 20:13:40 EST 2017 -7904329683889186473   STORE        1   \n",
       "466    Fri Dec 01 20:16:30 EST 2017  2478784176405658787   STORE        0   \n",
       "483    Fri Dec 01 20:17:00 EST 2017 -7842457893236209186   STORE        1   \n",
       "508    Fri Dec 01 20:17:40 EST 2017 -5701469653190967740   STORE        0   \n",
       "510    Fri Dec 01 20:17:50 EST 2017 -6717329876451087790   OTHER        1   \n",
       "535    Fri Dec 01 20:18:40 EST 2017  4834788126350373553   STORE        0   \n",
       "551    Fri Dec 01 20:19:10 EST 2017  3629874955241488561   STORE        0   \n",
       "569    Fri Dec 01 20:19:50 EST 2017  8336177408681301898   STORE        1   \n",
       "724    Fri Dec 01 20:26:40 EST 2017  3572753298527106305   OTHER        0   \n",
       "730    Fri Dec 01 20:27:00 EST 2017 -9021613801891117971   OTHER        0   \n",
       "753    Fri Dec 01 20:28:20 EST 2017 -5496084252829694605   OTHER        1   \n",
       "769    Fri Dec 01 20:29:00 EST 2017 -2246668626630861382   STORE        1   \n",
       "...                             ...                  ...     ...      ...   \n",
       "99713  Wed Dec 06 14:25:40 EST 2017 -5551373621160677282   STORE        2   \n",
       "99718  Wed Dec 06 14:25:50 EST 2017 -2146762366756669130   OTHER        0   \n",
       "99722  Wed Dec 06 14:25:50 EST 2017  5997192904290423163   STORE        1   \n",
       "99734  Wed Dec 06 14:26:10 EST 2017  4749584167442570847   STORE        2   \n",
       "99736  Wed Dec 06 14:26:10 EST 2017  6959624058065761499   STORE        4   \n",
       "99759  Wed Dec 06 14:27:30 EST 2017 -5480426861671279875   STORE        3   \n",
       "99765  Wed Dec 06 14:27:40 EST 2017 -5480426912574438434   OTHER        2   \n",
       "99789  Wed Dec 06 14:28:40 EST 2017 -4356084657416983370   OTHER        0   \n",
       "99808  Wed Dec 06 14:29:20 EST 2017  8358313807142997218   STORE        3   \n",
       "99812  Wed Dec 06 14:29:50 EST 2017  2363943954055877360   STORE        1   \n",
       "99849  Wed Dec 06 14:31:40 EST 2017  2501357798357580132   STORE       12   \n",
       "99862  Wed Dec 06 14:32:00 EST 2017 -5698519305720059789   STORE        3   \n",
       "99865  Wed Dec 06 14:32:10 EST 2017  3559621161047897345   STORE       10   \n",
       "99876  Wed Dec 06 14:32:40 EST 2017 -5701469794191010297   STORE        3   \n",
       "99878  Wed Dec 06 14:32:40 EST 2017 -6717951001161325271   STORE        2   \n",
       "99888  Wed Dec 06 14:33:10 EST 2017  1332144690076566674   STORE        4   \n",
       "99917  Wed Dec 06 14:34:00 EST 2017  4786096934863902471   STORE        1   \n",
       "99919  Wed Dec 06 14:34:00 EST 2017  6038609730706631571   STORE       14   \n",
       "99930  Wed Dec 06 14:34:30 EST 2017  4786097067491662654   STORE        4   \n",
       "99931  Wed Dec 06 14:34:30 EST 2017  3648461006256125598   STORE       26   \n",
       "99935  Wed Dec 06 14:34:40 EST 2017 -9021613409506405405   STORE        1   \n",
       "99944  Wed Dec 06 14:35:20 EST 2017  7026891700892842851   OTHER        1   \n",
       "99946  Wed Dec 06 14:35:20 EST 2017 -2284877594753133313   STORE       13   \n",
       "99950  Wed Dec 06 14:35:40 EST 2017  8318999280356533435   STORE        3   \n",
       "99953  Wed Dec 06 14:35:50 EST 2017  3559620819625074955   STORE        1   \n",
       "99964  Wed Dec 06 14:36:20 EST 2017  2465870671259478833   STORE        4   \n",
       "99975  Wed Dec 06 14:36:30 EST 2017 -7832064341464002286   STORE        0   \n",
       "99984  Wed Dec 06 14:36:40 EST 2017 -1026510102060190065   STORE        4   \n",
       "99990  Wed Dec 06 14:37:00 EST 2017 -9130427307508422108   STORE        0   \n",
       "99996  Wed Dec 06 14:37:20 EST 2017   131976451894943001   STORE        0   \n",
       "\n",
       "       Space1  dwell1  Space2  dwell2  Space3  dwell3   ...    Space10  \\\n",
       "38      STORE    13.0   STORE     2.0   STORE     0.0   ...      OTHER   \n",
       "47      STORE     2.0   STORE    14.0   STORE     1.0   ...      OTHER   \n",
       "52      STORE     3.0   STORE     4.0   STORE     0.0   ...      OTHER   \n",
       "66      OTHER     6.0   OTHER     1.0   OTHER     3.0   ...      OTHER   \n",
       "83      STORE     3.0   STORE     5.0   STORE     5.0   ...      OTHER   \n",
       "101     STORE     5.0   STORE     0.0   STORE    10.0   ...      OTHER   \n",
       "140     STORE     0.0   STORE     1.0   STORE     1.0   ...      OTHER   \n",
       "141     STORE     3.0   STORE     2.0   STORE     3.0   ...      OTHER   \n",
       "182     STORE    42.0   STORE     0.0   STORE     0.0   ...      OTHER   \n",
       "191     OTHER     0.0   STORE     2.0   OTHER     5.0   ...      OTHER   \n",
       "218     OTHER     1.0   STORE     1.0   STORE    28.0   ...      OTHER   \n",
       "219     STORE     0.0   STORE     0.0   STORE     1.0   ...      OTHER   \n",
       "231     STORE     0.0   STORE     1.0   OTHER     3.0   ...      OTHER   \n",
       "241     STORE     3.0   STORE     2.0   STORE     0.0   ...      STORE   \n",
       "245     STORE     1.0   STORE     4.0   OTHER    21.0   ...      STORE   \n",
       "313     STORE     2.0   OTHER     0.0   STORE     0.0   ...      OTHER   \n",
       "379     STORE     3.0   STORE     4.0   STORE     0.0   ...      STORE   \n",
       "386     STORE     2.0   OTHER     7.0   STORE     1.0   ...      OTHER   \n",
       "389     STORE     0.0   STORE     0.0   OTHER     5.0   ...      OTHER   \n",
       "466     STORE     2.0   STORE    15.0   STORE     2.0   ...      STORE   \n",
       "483     STORE    36.0   STORE     0.0   STORE     0.0   ...      OTHER   \n",
       "508     STORE     1.0   STORE     1.0   STORE     4.0   ...      STORE   \n",
       "510     STORE     1.0   STORE     2.0   STORE     2.0   ...      STORE   \n",
       "535     STORE     2.0   STORE     0.0   OTHER     7.0   ...      STORE   \n",
       "551     STORE     0.0   STORE     1.0   OTHER     0.0   ...      OTHER   \n",
       "569     OTHER     1.0   STORE     1.0   STORE     2.0   ...      OTHER   \n",
       "724     STORE     0.0   STORE     1.0   OTHER     0.0   ...      OTHER   \n",
       "730     OTHER     1.0   STORE     2.0   STORE     8.0   ...      OTHER   \n",
       "753     STORE     1.0   STORE     0.0   STORE     0.0   ...      OTHER   \n",
       "769     STORE     0.0   OTHER     0.0   OTHER     0.0   ...      STORE   \n",
       "...       ...     ...     ...     ...     ...     ...   ...        ...   \n",
       "99713   STORE     0.0   STORE     0.0   STORE     3.0   ...      OTHER   \n",
       "99718   STORE     4.0   OTHER    14.0   OTHER     3.0   ...      OTHER   \n",
       "99722   STORE     0.0   STORE     0.0   STORE     3.0   ...      STORE   \n",
       "99734   STORE     0.0   STORE    15.0   STORE     0.0   ...      OTHER   \n",
       "99736   STORE     2.0   STORE     0.0   STORE     0.0   ...      OTHER   \n",
       "99759   OTHER    25.0   STORE    10.0   STORE     2.0   ...      STORE   \n",
       "99765   OTHER    59.0   OTHER     1.0   OTHER    11.0   ...      OTHER   \n",
       "99789   STORE     3.0   OTHER     0.0   STORE     1.0   ...      STORE   \n",
       "99808   STORE     6.0   OTHER    29.0   OTHER     1.0   ...      OTHER   \n",
       "99812   STORE     5.0   STORE     2.0   OTHER     3.0   ...      OTHER   \n",
       "99849   OTHER    12.0   STORE     1.0   OTHER     0.0   ...      OTHER   \n",
       "99862   STORE     4.0   OTHER     0.0   OTHER     0.0   ...      STORE   \n",
       "99865   STORE    12.0   STORE    10.0   STORE     8.0   ...      OTHER   \n",
       "99876   STORE     1.0   STORE     0.0   OTHER     1.0   ...      STORE   \n",
       "99878   STORE     0.0   STORE    19.0   STORE     1.0   ...      OTHER   \n",
       "99888   STORE     2.0   STORE     0.0   STORE     3.0   ...      OTHER   \n",
       "99917   STORE    11.0   OTHER    12.0   STORE     3.0   ...      OTHER   \n",
       "99919   STORE     1.0   OTHER     0.0   OTHER    13.0   ...      OTHER   \n",
       "99930   OTHER     1.0   STORE     4.0   STORE     0.0   ...      OTHER   \n",
       "99931   STORE     0.0   OTHER     5.0   OTHER     0.0   ...      STORE   \n",
       "99935   STORE     6.0   STORE     0.0   OTHER     8.0   ...      OTHER   \n",
       "99944   OTHER     3.0   STORE     7.0   OTHER     1.0   ...      OTHER   \n",
       "99946   STORE     3.0   STORE     2.0   STORE     7.0   ...      OTHER   \n",
       "99950   STORE    20.0   OTHER     1.0   OTHER     1.0   ...      STORE   \n",
       "99953   STORE     4.0   STORE     5.0   STORE    10.0   ...      OTHER   \n",
       "99964   STORE     0.0   STORE     0.0   STORE     0.0   ...      OTHER   \n",
       "99975   STORE     0.0   STORE     5.0   OTHER     2.0   ...      OTHER   \n",
       "99984   STORE     3.0   STORE     2.0   STORE     1.0   ...      OTHER   \n",
       "99990   OTHER     2.0   STORE    11.0   STORE     1.0   ...      STORE   \n",
       "99996   STORE     0.0   STORE     2.0   OTHER     0.0   ...      OTHER   \n",
       "\n",
       "       dwell10 Space11  dwell11 Space12  dwell12 Space13  dwell13 Space14  \\\n",
       "38         0.0   OTHER      2.0   OTHER      3.0   OTHER      4.0   OTHER   \n",
       "47         2.0   STORE      0.0   OTHER      4.0   OTHER      0.0   STORE   \n",
       "52         2.0   OTHER      0.0   STORE     30.0   STORE     12.0   STORE   \n",
       "66         4.0   OTHER      2.0   STORE      0.0   OTHER      4.0   STORE   \n",
       "83        41.0   STORE      2.0   STORE      2.0   OTHER      1.0   OTHER   \n",
       "101       15.0   STORE      7.0   STORE      1.0   OTHER      1.0   OTHER   \n",
       "140        2.0   OTHER      1.0   OTHER      2.0   OTHER      0.0   OTHER   \n",
       "141        8.0   OTHER      6.0   STORE      1.0   STORE      1.0   OTHER   \n",
       "182        0.0   OTHER      1.0   STORE      0.0   STORE      0.0   OTHER   \n",
       "191        0.0   OTHER      0.0   STORE      0.0   OTHER      0.0   STORE   \n",
       "218        8.0   STORE      7.0   OTHER      0.0   OTHER      1.0   OTHER   \n",
       "219        0.0   OTHER      0.0   STORE      0.0   STORE      1.0   OTHER   \n",
       "231        1.0   OTHER      0.0   OTHER      0.0   OTHER      0.0   STORE   \n",
       "241        0.0   OTHER      0.0   OTHER      2.0   OTHER      0.0   OTHER   \n",
       "245        1.0   OTHER      0.0   STORE      1.0   OTHER     70.0   OTHER   \n",
       "313        0.0   OTHER      0.0   OTHER      5.0   OTHER      0.0   OTHER   \n",
       "379       10.0   OTHER      0.0   OTHER      1.0   STORE      0.0   OTHER   \n",
       "386        4.0   STORE      0.0   OTHER      0.0   OTHER      7.0   STORE   \n",
       "389        0.0   STORE      1.0   OTHER      0.0   OTHER      0.0   STORE   \n",
       "466        8.0   OTHER     11.0   OTHER      4.0   STORE      1.0   OTHER   \n",
       "483        5.0   STORE      3.0   OTHER      0.0   OTHER      0.0   OTHER   \n",
       "508        1.0   OTHER      0.0   OTHER      1.0   OTHER      1.0   OTHER   \n",
       "510        0.0   STORE      2.0   OTHER      1.0   OTHER      0.0   STORE   \n",
       "535       20.0   OTHER     13.0   STORE      1.0   OTHER      4.0   OTHER   \n",
       "551       10.0   OTHER      0.0   STORE      0.0   OTHER      1.0   OTHER   \n",
       "569        2.0   OTHER      0.0   OTHER      6.0   OTHER      3.0   OTHER   \n",
       "724        0.0   STORE      0.0   OTHER      0.0   OTHER      1.0   OTHER   \n",
       "730        1.0   STORE     10.0   OTHER      2.0   OTHER      1.0   OTHER   \n",
       "753        1.0   OTHER      0.0   OTHER      3.0   OTHER      0.0   OTHER   \n",
       "769        0.0   STORE      4.0   OTHER    106.0   OTHER     10.0   STORE   \n",
       "...        ...     ...      ...     ...      ...     ...      ...     ...   \n",
       "99713      0.0   STORE      3.0   OTHER      2.0   OTHER      5.0   OTHER   \n",
       "99718      3.0   OTHER      0.0   STORE      0.0   OTHER      1.0   OTHER   \n",
       "99722      1.0   OTHER      0.0   OTHER      3.0   OTHER      0.0   OTHER   \n",
       "99734      8.0   OTHER      1.0   OTHER      0.0   OTHER      2.0   STORE   \n",
       "99736      1.0   STORE      2.0   OTHER      8.0   STORE      0.0   OTHER   \n",
       "99759      1.0   OTHER     20.0   OTHER      6.0   STORE      1.0   OTHER   \n",
       "99765     15.0   OTHER      0.0   OTHER      1.0   OTHER      6.0   STORE   \n",
       "99789      6.0   STORE      2.0   OTHER      1.0   STORE      2.0   OTHER   \n",
       "99808      0.0   OTHER      2.0   STORE      4.0   OTHER      3.0   OTHER   \n",
       "99812      1.0   STORE      7.0   OTHER      3.0   STORE      4.0   STORE   \n",
       "99849      0.0   OTHER      0.0   OTHER     15.0   STORE      1.0   STORE   \n",
       "99862      0.0   OTHER      6.0   STORE      0.0   OTHER      0.0   OTHER   \n",
       "99865     22.0   OTHER      0.0   OTHER     23.0   OTHER      7.0   OTHER   \n",
       "99876      2.0   STORE      2.0   STORE     11.0   STORE      0.0   STORE   \n",
       "99878      0.0   OTHER      1.0   OTHER      0.0   OTHER      0.0   OTHER   \n",
       "99888      2.0   OTHER      0.0   STORE      0.0   STORE      3.0   STORE   \n",
       "99917      1.0   OTHER      2.0   STORE      0.0   OTHER     11.0   STORE   \n",
       "99919      0.0   OTHER      2.0   OTHER      0.0   OTHER      0.0   OTHER   \n",
       "99930      1.0   STORE      1.0   OTHER     13.0   STORE      2.0   OTHER   \n",
       "99931      0.0   STORE      1.0   STORE      3.0   STORE      0.0   OTHER   \n",
       "99935      8.0   STORE      1.0   STORE      1.0   OTHER      1.0   STORE   \n",
       "99944      0.0   OTHER     72.0   STORE      2.0   OTHER      3.0   STORE   \n",
       "99946      4.0   STORE      6.0   STORE      0.0   STORE      0.0   STORE   \n",
       "99950      0.0   STORE      2.0   OTHER    114.0   OTHER      1.0   STORE   \n",
       "99953      0.0   STORE      1.0   OTHER      5.0   OTHER      0.0   STORE   \n",
       "99964      0.0   OTHER      5.0   OTHER      0.0   OTHER      2.0   OTHER   \n",
       "99975     32.0   OTHER      4.0   OTHER      0.0   OTHER      0.0   STORE   \n",
       "99984      3.0   OTHER     69.0   OTHER      1.0   STORE      1.0   OTHER   \n",
       "99990      1.0   STORE      7.0   OTHER     31.0   OTHER      1.0   OTHER   \n",
       "99996      3.0   STORE      1.0   OTHER      2.0   STORE      1.0   OTHER   \n",
       "\n",
       "       dwell14  \n",
       "38         4.0  \n",
       "47         1.0  \n",
       "52         1.0  \n",
       "66         4.0  \n",
       "83         1.0  \n",
       "101        5.0  \n",
       "140        0.0  \n",
       "141        7.0  \n",
       "182        0.0  \n",
       "191        0.0  \n",
       "218        0.0  \n",
       "219        0.0  \n",
       "231        0.0  \n",
       "241        1.0  \n",
       "245        1.0  \n",
       "313        3.0  \n",
       "379        0.0  \n",
       "386       16.0  \n",
       "389        1.0  \n",
       "466        0.0  \n",
       "483        2.0  \n",
       "508        6.0  \n",
       "510        0.0  \n",
       "535        0.0  \n",
       "551        0.0  \n",
       "569      158.0  \n",
       "724        0.0  \n",
       "730        5.0  \n",
       "753        0.0  \n",
       "769        2.0  \n",
       "...        ...  \n",
       "99713      1.0  \n",
       "99718      1.0  \n",
       "99722      0.0  \n",
       "99734      3.0  \n",
       "99736      0.0  \n",
       "99759      4.0  \n",
       "99765      0.0  \n",
       "99789     28.0  \n",
       "99808      1.0  \n",
       "99812      0.0  \n",
       "99849      0.0  \n",
       "99862     11.0  \n",
       "99865      1.0  \n",
       "99876      1.0  \n",
       "99878      1.0  \n",
       "99888      1.0  \n",
       "99917      5.0  \n",
       "99919      2.0  \n",
       "99930      1.0  \n",
       "99931      6.0  \n",
       "99935      0.0  \n",
       "99944      4.0  \n",
       "99946     18.0  \n",
       "99950      1.0  \n",
       "99953      2.0  \n",
       "99964      1.0  \n",
       "99975     11.0  \n",
       "99984      1.0  \n",
       "99990      1.0  \n",
       "99996      4.0  \n",
       "\n",
       "[10025 rows x 32 columns]"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add filter columns for all the places where the visitor is in STORE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# in for where first stop is a store\n",
    "df2['in_store0'] = (df2['Space1'] == ' STORE')\n",
    "df2['in_store0'] = df2['in_store0']*1\n",
    "\n",
    "# and second stop is a store, and so on\n",
    "df2['in_store1'] = (df2['Space2'] == ' STORE')\n",
    "df2['in_store1'] = df2['in_store1']*1\n",
    "\n",
    "df2['in_store2'] = (df2['Space3'] == ' STORE')\n",
    "df2['in_store2'] = df2['in_store2']*1\n",
    "\n",
    "df2['in_store3'] = (df2['Space4'] == ' STORE')\n",
    "df2['in_store3'] = df2['in_store3']*1\n",
    "\n",
    "df2['in_store4'] = (df2['Space5'] == ' STORE')\n",
    "df2['in_store4'] = df2['in_store4']*1\n",
    "\n",
    "df2['in_store5'] = (df2['Space6'] == ' STORE')\n",
    "df2['in_store5'] = df2['in_store5']*1\n",
    "\n",
    "df2['in_store6'] = (df2['Space7'] == ' STORE')\n",
    "df2['in_store6'] = df2['in_store6']*1\n",
    "\n",
    "df2['in_store7'] = (df2['Space8'] == ' STORE')\n",
    "df2['in_store7'] = df2['in_store7']*1\n",
    "\n",
    "df2['in_store8'] = (df2['Space9'] == ' STORE')\n",
    "df2['in_store8'] = df2['in_store8']*1\n",
    "\n",
    "df2['in_store9'] = (df2['Space10'] == ' STORE')\n",
    "df2['in_store9'] = df2['in_store9']*1\n",
    "\n",
    "df2['in_store10'] = (df2['Space11'] == ' STORE')\n",
    "df2['in_store10'] = df2['in_store10']*1\n",
    "\n",
    "df2['in_store11'] = (df2['Space12'] == ' STORE')\n",
    "df2['in_store11'] = df2['in_store11']*1\n",
    "\n",
    "df2['in_store12'] = (df2['Space13'] == ' STORE')\n",
    "df2['in_store12'] = df2['in_store12']*1\n",
    "\n",
    "df2['in_store13'] = (df2['Space14'] == ' STORE')\n",
    "df2['in_store13'] = df2['in_store13']*1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>MAC</th>\n",
       "      <th>Space00</th>\n",
       "      <th>dwell00</th>\n",
       "      <th>Space1</th>\n",
       "      <th>dwell1</th>\n",
       "      <th>Space2</th>\n",
       "      <th>dwell2</th>\n",
       "      <th>Space3</th>\n",
       "      <th>dwell3</th>\n",
       "      <th>...</th>\n",
       "      <th>in_store4</th>\n",
       "      <th>in_store5</th>\n",
       "      <th>in_store6</th>\n",
       "      <th>in_store7</th>\n",
       "      <th>in_store8</th>\n",
       "      <th>in_store9</th>\n",
       "      <th>in_store10</th>\n",
       "      <th>in_store11</th>\n",
       "      <th>in_store12</th>\n",
       "      <th>in_store13</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Fri Dec 01 20:01:20 EST 2017</td>\n",
       "      <td>-3190646203368694242</td>\n",
       "      <td>STORE</td>\n",
       "      <td>10</td>\n",
       "      <td>STORE</td>\n",
       "      <td>13.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
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       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Fri Dec 01 20:01:40 EST 2017</td>\n",
       "      <td>-3179391220073838541</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>14.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Fri Dec 01 20:01:40 EST 2017</td>\n",
       "      <td>-3361362079696780803</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Fri Dec 01 20:02:20 EST 2017</td>\n",
       "      <td>-5480427668429567245</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>6.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Fri Dec 01 20:02:50 EST 2017</td>\n",
       "      <td>-4502787887458951171</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 46 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Date                  MAC Space00  dwell00  \\\n",
       "38  Fri Dec 01 20:01:20 EST 2017 -3190646203368694242   STORE       10   \n",
       "47  Fri Dec 01 20:01:40 EST 2017 -3179391220073838541   STORE        0   \n",
       "52  Fri Dec 01 20:01:40 EST 2017 -3361362079696780803   STORE        2   \n",
       "66  Fri Dec 01 20:02:20 EST 2017 -5480427668429567245   STORE        0   \n",
       "83  Fri Dec 01 20:02:50 EST 2017 -4502787887458951171   STORE        2   \n",
       "\n",
       "    Space1  dwell1  Space2  dwell2  Space3  dwell3     ...     in_store4  \\\n",
       "38   STORE    13.0   STORE     2.0   STORE     0.0     ...             1   \n",
       "47   STORE     2.0   STORE    14.0   STORE     1.0     ...             0   \n",
       "52   STORE     3.0   STORE     4.0   STORE     0.0     ...             0   \n",
       "66   OTHER     6.0   OTHER     1.0   OTHER     3.0     ...             0   \n",
       "83   STORE     3.0   STORE     5.0   STORE     5.0     ...             0   \n",
       "\n",
       "    in_store5 in_store6  in_store7 in_store8  in_store9 in_store10  \\\n",
       "38          0         0          0         0          0          0   \n",
       "47          1         1          0         0          0          1   \n",
       "52          0         0          0         0          0          0   \n",
       "66          0         0          1         0          0          0   \n",
       "83          0         0          1         0          0          1   \n",
       "\n",
       "    in_store11 in_store12  in_store13  \n",
       "38           0          0           0  \n",
       "47           0          0           1  \n",
       "52           1          1           1  \n",
       "66           1          0           1  \n",
       "83           1          0           0  \n",
       "\n",
       "[5 rows x 46 columns]"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add filter columns for all the places where the visitor is 'IDLE'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# filter for where first dwell is 'idle'\n",
    "df2['idle0'] = (df2['Space1'] == ' OTHER')\n",
    "df2['idle0'] = df2['idle0']*1\n",
    "\n",
    "df2['idle1'] = (df2['Space2'] == ' OTHER')\n",
    "df2['idle1'] = df2['idle1']*1\n",
    "\n",
    "df2['idle2'] = (df2['Space3'] == ' OTHER')\n",
    "df2['idle2'] = df2['idle2']*1\n",
    "\n",
    "df2['idle3'] = (df2['Space4'] == ' OTHER')\n",
    "df2['idle3'] = df2['idle3']*1\n",
    "# -------------- breaker --- so I don't go cross-eyed\n",
    "df2['idle4'] = (df2['Space5'] == ' OTHER')\n",
    "df2['idle4'] = df2['idle4']*1\n",
    "\n",
    "df2['idle5'] = (df2['Space6'] == ' OTHER')\n",
    "df2['idle5'] = df2['idle5']*1\n",
    "\n",
    "df2['idle6'] = (df2['Space7'] == ' OTHER')\n",
    "df2['idle6'] = df2['idle6']*1\n",
    "\n",
    "df2['idle7'] = (df2['Space8'] == ' OTHER')\n",
    "df2['idle7'] = df2['idle7']*1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "  <tbody>\n",
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       "      <th>38</th>\n",
       "      <td>Fri Dec 01 20:01:20 EST 2017</td>\n",
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       "      <td>Fri Dec 01 20:01:40 EST 2017</td>\n",
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       "      <td>Fri Dec 01 20:01:40 EST 2017</td>\n",
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       "      <th>66</th>\n",
       "      <td>Fri Dec 01 20:02:20 EST 2017</td>\n",
       "      <td>-5480427668429567245</td>\n",
       "      <td>STORE</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Fri Dec 01 20:02:50 EST 2017</td>\n",
       "      <td>-4502787887458951171</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 54 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Date                  MAC Space00  dwell00  \\\n",
       "38  Fri Dec 01 20:01:20 EST 2017 -3190646203368694242   STORE       10   \n",
       "47  Fri Dec 01 20:01:40 EST 2017 -3179391220073838541   STORE        0   \n",
       "52  Fri Dec 01 20:01:40 EST 2017 -3361362079696780803   STORE        2   \n",
       "66  Fri Dec 01 20:02:20 EST 2017 -5480427668429567245   STORE        0   \n",
       "83  Fri Dec 01 20:02:50 EST 2017 -4502787887458951171   STORE        2   \n",
       "\n",
       "    Space1  dwell1  Space2  dwell2  Space3  dwell3  ...   in_store12  \\\n",
       "38   STORE    13.0   STORE     2.0   STORE     0.0  ...            0   \n",
       "47   STORE     2.0   STORE    14.0   STORE     1.0  ...            0   \n",
       "52   STORE     3.0   STORE     4.0   STORE     0.0  ...            1   \n",
       "66   OTHER     6.0   OTHER     1.0   OTHER     3.0  ...            0   \n",
       "83   STORE     3.0   STORE     5.0   STORE     5.0  ...            0   \n",
       "\n",
       "    in_store13 idle0  idle1 idle2  idle3 idle4  idle5 idle6  idle7  \n",
       "38           0     0      0     0      0     0      1     1      1  \n",
       "47           1     0      0     0      0     1      0     0      1  \n",
       "52           1     0      0     0      1     1      1     1      1  \n",
       "66           1     1      1     1      1     1      1     1      0  \n",
       "83           0     0      0     0      0     1      1     1      0  \n",
       "\n",
       "[5 rows x 54 columns]"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Binning times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import dateutil\n",
    "df2['dateok'] = df2['Date'].apply(dateutil.parser.parse, dayfirst=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>MAC</th>\n",
       "      <th>Space00</th>\n",
       "      <th>dwell00</th>\n",
       "      <th>Space1</th>\n",
       "      <th>dwell1</th>\n",
       "      <th>Space2</th>\n",
       "      <th>dwell2</th>\n",
       "      <th>Space3</th>\n",
       "      <th>dwell3</th>\n",
       "      <th>...</th>\n",
       "      <th>in_store13</th>\n",
       "      <th>idle0</th>\n",
       "      <th>idle1</th>\n",
       "      <th>idle2</th>\n",
       "      <th>idle3</th>\n",
       "      <th>idle4</th>\n",
       "      <th>idle5</th>\n",
       "      <th>idle6</th>\n",
       "      <th>idle7</th>\n",
       "      <th>dateok</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Fri Dec 01 20:01:20 EST 2017</td>\n",
       "      <td>-3190646203368694242</td>\n",
       "      <td>STORE</td>\n",
       "      <td>10</td>\n",
       "      <td>STORE</td>\n",
       "      <td>13.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-01 20:01:20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Fri Dec 01 20:01:40 EST 2017</td>\n",
       "      <td>-3179391220073838541</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>14.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-01 20:01:40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Fri Dec 01 20:01:40 EST 2017</td>\n",
       "      <td>-3361362079696780803</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-01 20:01:40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Fri Dec 01 20:02:20 EST 2017</td>\n",
       "      <td>-5480427668429567245</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>6.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-12-01 20:02:20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Fri Dec 01 20:02:50 EST 2017</td>\n",
       "      <td>-4502787887458951171</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-12-01 20:02:50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Date                  MAC Space00  dwell00  \\\n",
       "38  Fri Dec 01 20:01:20 EST 2017 -3190646203368694242   STORE       10   \n",
       "47  Fri Dec 01 20:01:40 EST 2017 -3179391220073838541   STORE        0   \n",
       "52  Fri Dec 01 20:01:40 EST 2017 -3361362079696780803   STORE        2   \n",
       "66  Fri Dec 01 20:02:20 EST 2017 -5480427668429567245   STORE        0   \n",
       "83  Fri Dec 01 20:02:50 EST 2017 -4502787887458951171   STORE        2   \n",
       "\n",
       "    Space1  dwell1  Space2  dwell2  Space3  dwell3         ...          \\\n",
       "38   STORE    13.0   STORE     2.0   STORE     0.0         ...           \n",
       "47   STORE     2.0   STORE    14.0   STORE     1.0         ...           \n",
       "52   STORE     3.0   STORE     4.0   STORE     0.0         ...           \n",
       "66   OTHER     6.0   OTHER     1.0   OTHER     3.0         ...           \n",
       "83   STORE     3.0   STORE     5.0   STORE     5.0         ...           \n",
       "\n",
       "   in_store13  idle0 idle1  idle2 idle3  idle4 idle5  idle6 idle7  \\\n",
       "38          0      0     0      0     0      0     1      1     1   \n",
       "47          1      0     0      0     0      1     0      0     1   \n",
       "52          1      0     0      0     1      1     1      1     1   \n",
       "66          1      1     1      1     1      1     1      1     0   \n",
       "83          0      0     0      0     0      1     1      1     0   \n",
       "\n",
       "                dateok  \n",
       "38 2017-12-01 20:01:20  \n",
       "47 2017-12-01 20:01:40  \n",
       "52 2017-12-01 20:01:40  \n",
       "66 2017-12-01 20:02:20  \n",
       "83 2017-12-01 20:02:50  \n",
       "\n",
       "[5 rows x 55 columns]"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date                  object\n",
       "MAC                    int64\n",
       "Space00               object\n",
       "dwell00                int64\n",
       "Space1                object\n",
       "dwell1               float64\n",
       "Space2                object\n",
       "dwell2               float64\n",
       "Space3                object\n",
       "dwell3               float64\n",
       "Space4                object\n",
       "dwell4               float64\n",
       "Space5                object\n",
       "dwell5               float64\n",
       "Space6                object\n",
       "dwell6               float64\n",
       "Space7                object\n",
       "dwell7               float64\n",
       "Space8                object\n",
       "dwell8               float64\n",
       "Space9                object\n",
       "dwell9               float64\n",
       "Space10               object\n",
       "dwell10              float64\n",
       "Space11               object\n",
       "dwell11              float64\n",
       "Space12               object\n",
       "dwell12              float64\n",
       "Space13               object\n",
       "dwell13              float64\n",
       "Space14               object\n",
       "dwell14              float64\n",
       "in_store0              int32\n",
       "in_store1              int32\n",
       "in_store2              int32\n",
       "in_store3              int32\n",
       "in_store4              int32\n",
       "in_store5              int32\n",
       "in_store6              int32\n",
       "in_store7              int32\n",
       "in_store8              int32\n",
       "in_store9              int32\n",
       "in_store10             int32\n",
       "in_store11             int32\n",
       "in_store12             int32\n",
       "in_store13             int32\n",
       "idle0                  int32\n",
       "idle1                  int32\n",
       "idle2                  int32\n",
       "idle3                  int32\n",
       "idle4                  int32\n",
       "idle5                  int32\n",
       "idle6                  int32\n",
       "idle7                  int32\n",
       "dateok        datetime64[ns]\n",
       "dtype: object"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import datetime\n",
    "df2['Date'] = [datetime.datetime.date(d) for d in df2['dateok']]# extracting date from timestamp\n",
    "df2['Time'] = [datetime.datetime.time(d) for d in df2['dateok']]# extracting time from timestamp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
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       "  <thead>\n",
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       "      <th></th>\n",
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       "      <th>dwell1</th>\n",
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       "      <th>dwell2</th>\n",
       "      <th>Space3</th>\n",
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       "      <th>idle2</th>\n",
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       "      <th>idle4</th>\n",
       "      <th>idle5</th>\n",
       "      <th>idle6</th>\n",
       "      <th>idle7</th>\n",
       "      <th>dateok</th>\n",
       "      <th>Time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>-3190646203368694242</td>\n",
       "      <td>STORE</td>\n",
       "      <td>10</td>\n",
       "      <td>STORE</td>\n",
       "      <td>13.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-01 20:01:20</td>\n",
       "      <td>20:01:20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>-3179391220073838541</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>14.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-01 20:01:40</td>\n",
       "      <td>20:01:40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>-3361362079696780803</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-01 20:01:40</td>\n",
       "      <td>20:01:40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>-5480427668429567245</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>6.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-12-01 20:02:20</td>\n",
       "      <td>20:02:20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>-4502787887458951171</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-12-01 20:02:50</td>\n",
       "      <td>20:02:50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 56 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date                  MAC Space00  dwell00  Space1  dwell1  Space2  \\\n",
       "38  2017-12-01 -3190646203368694242   STORE       10   STORE    13.0   STORE   \n",
       "47  2017-12-01 -3179391220073838541   STORE        0   STORE     2.0   STORE   \n",
       "52  2017-12-01 -3361362079696780803   STORE        2   STORE     3.0   STORE   \n",
       "66  2017-12-01 -5480427668429567245   STORE        0   OTHER     6.0   OTHER   \n",
       "83  2017-12-01 -4502787887458951171   STORE        2   STORE     3.0   STORE   \n",
       "\n",
       "    dwell2  Space3  dwell3    ...    idle0  idle1 idle2  idle3 idle4  idle5  \\\n",
       "38     2.0   STORE     0.0    ...        0      0     0      0     0      1   \n",
       "47    14.0   STORE     1.0    ...        0      0     0      0     1      0   \n",
       "52     4.0   STORE     0.0    ...        0      0     0      1     1      1   \n",
       "66     1.0   OTHER     3.0    ...        1      1     1      1     1      1   \n",
       "83     5.0   STORE     5.0    ...        0      0     0      0     1      1   \n",
       "\n",
       "   idle6  idle7              dateok      Time  \n",
       "38     1      1 2017-12-01 20:01:20  20:01:20  \n",
       "47     0      1 2017-12-01 20:01:40  20:01:40  \n",
       "52     1      1 2017-12-01 20:01:40  20:01:40  \n",
       "66     1      0 2017-12-01 20:02:20  20:02:20  \n",
       "83     1      0 2017-12-01 20:02:50  20:02:50  \n",
       "\n",
       "[5 rows x 56 columns]"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>MAC</th>\n",
       "      <th>Space00</th>\n",
       "      <th>dwell00</th>\n",
       "      <th>Space1</th>\n",
       "      <th>dwell1</th>\n",
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       "      <th>dwell2</th>\n",
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       "      <th>idle3</th>\n",
       "      <th>idle4</th>\n",
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       "      <th>idle6</th>\n",
       "      <th>idle7</th>\n",
       "      <th>dateok</th>\n",
       "      <th>Time</th>\n",
       "      <th>hod</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>-3190646203368694242</td>\n",
       "      <td>STORE</td>\n",
       "      <td>10</td>\n",
       "      <td>STORE</td>\n",
       "      <td>13.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-01 20:01:20</td>\n",
       "      <td>20:01:20</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>-3179391220073838541</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>14.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-01 20:01:40</td>\n",
       "      <td>20:01:40</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>-3361362079696780803</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-01 20:01:40</td>\n",
       "      <td>20:01:40</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>-5480427668429567245</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>6.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-12-01 20:02:20</td>\n",
       "      <td>20:02:20</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>-4502787887458951171</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-12-01 20:02:50</td>\n",
       "      <td>20:02:50</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 57 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date                  MAC Space00  dwell00  Space1  dwell1  Space2  \\\n",
       "38  2017-12-01 -3190646203368694242   STORE       10   STORE    13.0   STORE   \n",
       "47  2017-12-01 -3179391220073838541   STORE        0   STORE     2.0   STORE   \n",
       "52  2017-12-01 -3361362079696780803   STORE        2   STORE     3.0   STORE   \n",
       "66  2017-12-01 -5480427668429567245   STORE        0   OTHER     6.0   OTHER   \n",
       "83  2017-12-01 -4502787887458951171   STORE        2   STORE     3.0   STORE   \n",
       "\n",
       "    dwell2  Space3  dwell3 ...  idle1  idle2 idle3  idle4 idle5  idle6 idle7  \\\n",
       "38     2.0   STORE     0.0 ...      0      0     0      0     1      1     1   \n",
       "47    14.0   STORE     1.0 ...      0      0     0      1     0      0     1   \n",
       "52     4.0   STORE     0.0 ...      0      0     1      1     1      1     1   \n",
       "66     1.0   OTHER     3.0 ...      1      1     1      1     1      1     0   \n",
       "83     5.0   STORE     5.0 ...      0      0     0      1     1      1     0   \n",
       "\n",
       "                dateok      Time  hod  \n",
       "38 2017-12-01 20:01:20  20:01:20   20  \n",
       "47 2017-12-01 20:01:40  20:01:40   20  \n",
       "52 2017-12-01 20:01:40  20:01:40   20  \n",
       "66 2017-12-01 20:02:20  20:02:20   20  \n",
       "83 2017-12-01 20:02:50  20:02:50   20  \n",
       "\n",
       "[5 rows x 57 columns]"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2['hod'] = [t.hour for t in df2.Time]\n",
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df2['interval_of_day'] = pd.cut(df2['hod'], bins=4, labels=['morning', 'mid-day', 'evening', 'night'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>38</th>\n",
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       "      <td>20:01:20</td>\n",
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       "      <td>night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>-3179391220073838541</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>14.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>2017-12-01 20:01:40</td>\n",
       "      <td>20:01:40</td>\n",
       "      <td>20</td>\n",
       "      <td>night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>-3361362079696780803</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-12-01 20:01:40</td>\n",
       "      <td>20:01:40</td>\n",
       "      <td>20</td>\n",
       "      <td>night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>-5480427668429567245</td>\n",
       "      <td>STORE</td>\n",
       "      <td>0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>6.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-12-01 20:02:20</td>\n",
       "      <td>20:02:20</td>\n",
       "      <td>20</td>\n",
       "      <td>night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>-4502787887458951171</td>\n",
       "      <td>STORE</td>\n",
       "      <td>2</td>\n",
       "      <td>STORE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>STORE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2017-12-01 20:02:50</td>\n",
       "      <td>20:02:50</td>\n",
       "      <td>20</td>\n",
       "      <td>night</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 58 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date                  MAC Space00  dwell00  Space1  dwell1  Space2  \\\n",
       "38  2017-12-01 -3190646203368694242   STORE       10   STORE    13.0   STORE   \n",
       "47  2017-12-01 -3179391220073838541   STORE        0   STORE     2.0   STORE   \n",
       "52  2017-12-01 -3361362079696780803   STORE        2   STORE     3.0   STORE   \n",
       "66  2017-12-01 -5480427668429567245   STORE        0   OTHER     6.0   OTHER   \n",
       "83  2017-12-01 -4502787887458951171   STORE        2   STORE     3.0   STORE   \n",
       "\n",
       "    dwell2  Space3  dwell3       ...        idle2  idle3 idle4  idle5 idle6  \\\n",
       "38     2.0   STORE     0.0       ...            0      0     0      1     1   \n",
       "47    14.0   STORE     1.0       ...            0      0     1      0     0   \n",
       "52     4.0   STORE     0.0       ...            0      1     1      1     1   \n",
       "66     1.0   OTHER     3.0       ...            1      1     1      1     1   \n",
       "83     5.0   STORE     5.0       ...            0      0     1      1     1   \n",
       "\n",
       "    idle7              dateok      Time hod  interval_of_day  \n",
       "38      1 2017-12-01 20:01:20  20:01:20  20            night  \n",
       "47      1 2017-12-01 20:01:40  20:01:40  20            night  \n",
       "52      1 2017-12-01 20:01:40  20:01:40  20            night  \n",
       "66      0 2017-12-01 20:02:20  20:02:20  20            night  \n",
       "83      0 2017-12-01 20:02:50  20:02:50  20            night  \n",
       "\n",
       "[5 rows x 58 columns]"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save my dataframe as pkl file so no need to read csv and run all cells again"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pickle\n",
    "# only needs to be run once\n",
    "with open('cust_journey.pickle', 'wb', -1) as handle:\n",
    "    pickle.dump(df2, handle, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          Date                  MAC Space00  dwell00  Space1  dwell1  Space2  \\\n",
      "38  2017-12-01 -3190646203368694242   STORE       10   STORE    13.0   STORE   \n",
      "47  2017-12-01 -3179391220073838541   STORE        0   STORE     2.0   STORE   \n",
      "52  2017-12-01 -3361362079696780803   STORE        2   STORE     3.0   STORE   \n",
      "66  2017-12-01 -5480427668429567245   STORE        0   OTHER     6.0   OTHER   \n",
      "83  2017-12-01 -4502787887458951171   STORE        2   STORE     3.0   STORE   \n",
      "\n",
      "    dwell2  Space3  dwell3       ...        idle2  idle3 idle4  idle5 idle6  \\\n",
      "38     2.0   STORE     0.0       ...            0      0     0      1     1   \n",
      "47    14.0   STORE     1.0       ...            0      0     1      0     0   \n",
      "52     4.0   STORE     0.0       ...            0      1     1      1     1   \n",
      "66     1.0   OTHER     3.0       ...            1      1     1      1     1   \n",
      "83     5.0   STORE     5.0       ...            0      0     1      1     1   \n",
      "\n",
      "    idle7              dateok      Time hod  interval_of_day  \n",
      "38      1 2017-12-01 20:01:20  20:01:20  20            night  \n",
      "47      1 2017-12-01 20:01:40  20:01:40  20            night  \n",
      "52      1 2017-12-01 20:01:40  20:01:40  20            night  \n",
      "66      0 2017-12-01 20:02:20  20:02:20  20            night  \n",
      "83      0 2017-12-01 20:02:50  20:02:50  20            night  \n",
      "\n",
      "[5 rows x 58 columns]\n"
     ]
    }
   ],
   "source": [
    "df_customer_journey = pd.read_pickle('./cust_journey.pickle')\n",
    "print(df_customer_journey.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_heat = df_customer_journey"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Date', 'MAC', 'Space00', 'dwell00', 'Space1', 'dwell1', 'Space2',\n",
       "       'dwell2', 'Space3', 'dwell3', 'Space4', 'dwell4', 'Space5', 'dwell5',\n",
       "       'Space6', 'dwell6', 'Space7', 'dwell7', 'Space8', 'dwell8', 'Space9',\n",
       "       'dwell9', 'Space10', 'dwell10', 'Space11', 'dwell11', 'Space12',\n",
       "       'dwell12', 'Space13', 'dwell13', 'Space14', 'dwell14', 'in_store0',\n",
       "       'in_store1', 'in_store2', 'in_store3', 'in_store4', 'in_store5',\n",
       "       'in_store6', 'in_store7', 'in_store8', 'in_store9', 'in_store10',\n",
       "       'in_store11', 'in_store12', 'in_store13', 'idle0', 'idle1', 'idle2',\n",
       "       'idle3', 'idle4', 'idle5', 'idle6', 'idle7', 'dateok', 'Time', 'hod',\n",
       "       'interval_of_day'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_heat.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_heat=df_heat.groupby(['interval_of_day'])['in_store0',\n",
    "        'in_store1', 'in_store2', 'in_store3', 'in_store4',\n",
    "        'in_store5', 'in_store6',\n",
    "        'in_store7', 'in_store8', 'in_store9', 'in_store10',\n",
    "        'in_store11', 'in_store12', 'in_store13',\n",
    "        'idle0', 'idle1', 'idle2', 'idle3', 'idle4', 'idle5',\n",
    "        'idle6', 'idle7'           \n",
    "                                        ].sum().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": false
   },
   "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>interval_of_day</th>\n",
       "      <th>in_store0</th>\n",
       "      <th>in_store1</th>\n",
       "      <th>in_store2</th>\n",
       "      <th>in_store3</th>\n",
       "      <th>in_store4</th>\n",
       "      <th>in_store5</th>\n",
       "      <th>in_store6</th>\n",
       "      <th>in_store7</th>\n",
       "      <th>in_store8</th>\n",
       "      <th>...</th>\n",
       "      <th>in_store12</th>\n",
       "      <th>in_store13</th>\n",
       "      <th>idle0</th>\n",
       "      <th>idle1</th>\n",
       "      <th>idle2</th>\n",
       "      <th>idle3</th>\n",
       "      <th>idle4</th>\n",
       "      <th>idle5</th>\n",
       "      <th>idle6</th>\n",
       "      <th>idle7</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>morning</td>\n",
       "      <td>1369</td>\n",
       "      <td>1264</td>\n",
       "      <td>1112</td>\n",
       "      <td>896</td>\n",
       "      <td>773</td>\n",
       "      <td>627</td>\n",
       "      <td>535</td>\n",
       "      <td>543</td>\n",
       "      <td>530</td>\n",
       "      <td>...</td>\n",
       "      <td>525</td>\n",
       "      <td>539</td>\n",
       "      <td>199</td>\n",
       "      <td>304</td>\n",
       "      <td>456</td>\n",
       "      <td>672</td>\n",
       "      <td>795</td>\n",
       "      <td>941</td>\n",
       "      <td>1033</td>\n",
       "      <td>1025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>mid-day</td>\n",
       "      <td>3826</td>\n",
       "      <td>3514</td>\n",
       "      <td>3166</td>\n",
       "      <td>2616</td>\n",
       "      <td>2139</td>\n",
       "      <td>1750</td>\n",
       "      <td>1569</td>\n",
       "      <td>1493</td>\n",
       "      <td>1395</td>\n",
       "      <td>...</td>\n",
       "      <td>1485</td>\n",
       "      <td>1520</td>\n",
       "      <td>649</td>\n",
       "      <td>961</td>\n",
       "      <td>1309</td>\n",
       "      <td>1859</td>\n",
       "      <td>2336</td>\n",
       "      <td>2725</td>\n",
       "      <td>2906</td>\n",
       "      <td>2982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>evening</td>\n",
       "      <td>2931</td>\n",
       "      <td>2641</td>\n",
       "      <td>2298</td>\n",
       "      <td>1920</td>\n",
       "      <td>1603</td>\n",
       "      <td>1342</td>\n",
       "      <td>1168</td>\n",
       "      <td>1057</td>\n",
       "      <td>1051</td>\n",
       "      <td>...</td>\n",
       "      <td>1136</td>\n",
       "      <td>1148</td>\n",
       "      <td>514</td>\n",
       "      <td>804</td>\n",
       "      <td>1147</td>\n",
       "      <td>1525</td>\n",
       "      <td>1842</td>\n",
       "      <td>2103</td>\n",
       "      <td>2277</td>\n",
       "      <td>2388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>night</td>\n",
       "      <td>442</td>\n",
       "      <td>414</td>\n",
       "      <td>335</td>\n",
       "      <td>279</td>\n",
       "      <td>230</td>\n",
       "      <td>191</td>\n",
       "      <td>170</td>\n",
       "      <td>160</td>\n",
       "      <td>146</td>\n",
       "      <td>...</td>\n",
       "      <td>152</td>\n",
       "      <td>149</td>\n",
       "      <td>95</td>\n",
       "      <td>123</td>\n",
       "      <td>202</td>\n",
       "      <td>258</td>\n",
       "      <td>307</td>\n",
       "      <td>346</td>\n",
       "      <td>367</td>\n",
       "      <td>377</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  interval_of_day  in_store0  in_store1  in_store2  in_store3  in_store4  \\\n",
       "0         morning       1369       1264       1112        896        773   \n",
       "1         mid-day       3826       3514       3166       2616       2139   \n",
       "2         evening       2931       2641       2298       1920       1603   \n",
       "3           night        442        414        335        279        230   \n",
       "\n",
       "   in_store5  in_store6  in_store7  in_store8  ...    in_store12  in_store13  \\\n",
       "0        627        535        543        530  ...           525         539   \n",
       "1       1750       1569       1493       1395  ...          1485        1520   \n",
       "2       1342       1168       1057       1051  ...          1136        1148   \n",
       "3        191        170        160        146  ...           152         149   \n",
       "\n",
       "   idle0  idle1  idle2  idle3  idle4  idle5  idle6  idle7  \n",
       "0    199    304    456    672    795    941   1033   1025  \n",
       "1    649    961   1309   1859   2336   2725   2906   2982  \n",
       "2    514    804   1147   1525   1842   2103   2277   2388  \n",
       "3     95    123    202    258    307    346    367    377  \n",
       "\n",
       "[4 rows x 23 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_heat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "interval_of_day    category\n",
       "in_store0             int32\n",
       "in_store1             int32\n",
       "in_store2             int32\n",
       "in_store3             int32\n",
       "in_store4             int32\n",
       "in_store5             int32\n",
       "in_store6             int32\n",
       "in_store7             int32\n",
       "in_store8             int32\n",
       "in_store9             int32\n",
       "in_store10            int32\n",
       "in_store11            int32\n",
       "in_store12            int32\n",
       "in_store13            int32\n",
       "idle0                 int32\n",
       "idle1                 int32\n",
       "idle2                 int32\n",
       "idle3                 int32\n",
       "idle4                 int32\n",
       "idle5                 int32\n",
       "idle6                 int32\n",
       "idle7                 int32\n",
       "dtype: object"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_heat.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "codes = {'morning':1, 'mid-day':2, 'evening':3, 'night':4}\n",
    "df_heat['interval_of_day'] = df_heat['interval_of_day'].map(codes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "interval_of_day    int64\n",
       "in_store0          int32\n",
       "in_store1          int32\n",
       "in_store2          int32\n",
       "in_store3          int32\n",
       "in_store4          int32\n",
       "in_store5          int32\n",
       "in_store6          int32\n",
       "in_store7          int32\n",
       "in_store8          int32\n",
       "in_store9          int32\n",
       "in_store10         int32\n",
       "in_store11         int32\n",
       "in_store12         int32\n",
       "in_store13         int32\n",
       "idle0              int32\n",
       "idle1              int32\n",
       "idle2              int32\n",
       "idle3              int32\n",
       "idle4              int32\n",
       "idle5              int32\n",
       "idle6              int32\n",
       "idle7              int32\n",
       "dtype: object"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_heat.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": false
   },
   "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>interval_of_day</th>\n",
       "      <th>in_store0</th>\n",
       "      <th>in_store1</th>\n",
       "      <th>in_store2</th>\n",
       "      <th>in_store3</th>\n",
       "      <th>in_store4</th>\n",
       "      <th>in_store5</th>\n",
       "      <th>in_store6</th>\n",
       "      <th>in_store7</th>\n",
       "      <th>in_store8</th>\n",
       "      <th>...</th>\n",
       "      <th>in_store12</th>\n",
       "      <th>in_store13</th>\n",
       "      <th>idle0</th>\n",
       "      <th>idle1</th>\n",
       "      <th>idle2</th>\n",
       "      <th>idle3</th>\n",
       "      <th>idle4</th>\n",
       "      <th>idle5</th>\n",
       "      <th>idle6</th>\n",
       "      <th>idle7</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1369</td>\n",
       "      <td>1264</td>\n",
       "      <td>1112</td>\n",
       "      <td>896</td>\n",
       "      <td>773</td>\n",
       "      <td>627</td>\n",
       "      <td>535</td>\n",
       "      <td>543</td>\n",
       "      <td>530</td>\n",
       "      <td>...</td>\n",
       "      <td>525</td>\n",
       "      <td>539</td>\n",
       "      <td>199</td>\n",
       "      <td>304</td>\n",
       "      <td>456</td>\n",
       "      <td>672</td>\n",
       "      <td>795</td>\n",
       "      <td>941</td>\n",
       "      <td>1033</td>\n",
       "      <td>1025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>3826</td>\n",
       "      <td>3514</td>\n",
       "      <td>3166</td>\n",
       "      <td>2616</td>\n",
       "      <td>2139</td>\n",
       "      <td>1750</td>\n",
       "      <td>1569</td>\n",
       "      <td>1493</td>\n",
       "      <td>1395</td>\n",
       "      <td>...</td>\n",
       "      <td>1485</td>\n",
       "      <td>1520</td>\n",
       "      <td>649</td>\n",
       "      <td>961</td>\n",
       "      <td>1309</td>\n",
       "      <td>1859</td>\n",
       "      <td>2336</td>\n",
       "      <td>2725</td>\n",
       "      <td>2906</td>\n",
       "      <td>2982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2931</td>\n",
       "      <td>2641</td>\n",
       "      <td>2298</td>\n",
       "      <td>1920</td>\n",
       "      <td>1603</td>\n",
       "      <td>1342</td>\n",
       "      <td>1168</td>\n",
       "      <td>1057</td>\n",
       "      <td>1051</td>\n",
       "      <td>...</td>\n",
       "      <td>1136</td>\n",
       "      <td>1148</td>\n",
       "      <td>514</td>\n",
       "      <td>804</td>\n",
       "      <td>1147</td>\n",
       "      <td>1525</td>\n",
       "      <td>1842</td>\n",
       "      <td>2103</td>\n",
       "      <td>2277</td>\n",
       "      <td>2388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>442</td>\n",
       "      <td>414</td>\n",
       "      <td>335</td>\n",
       "      <td>279</td>\n",
       "      <td>230</td>\n",
       "      <td>191</td>\n",
       "      <td>170</td>\n",
       "      <td>160</td>\n",
       "      <td>146</td>\n",
       "      <td>...</td>\n",
       "      <td>152</td>\n",
       "      <td>149</td>\n",
       "      <td>95</td>\n",
       "      <td>123</td>\n",
       "      <td>202</td>\n",
       "      <td>258</td>\n",
       "      <td>307</td>\n",
       "      <td>346</td>\n",
       "      <td>367</td>\n",
       "      <td>377</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   interval_of_day  in_store0  in_store1  in_store2  in_store3  in_store4  \\\n",
       "0                1       1369       1264       1112        896        773   \n",
       "1                2       3826       3514       3166       2616       2139   \n",
       "2                3       2931       2641       2298       1920       1603   \n",
       "3                4        442        414        335        279        230   \n",
       "\n",
       "   in_store5  in_store6  in_store7  in_store8  ...    in_store12  in_store13  \\\n",
       "0        627        535        543        530  ...           525         539   \n",
       "1       1750       1569       1493       1395  ...          1485        1520   \n",
       "2       1342       1168       1057       1051  ...          1136        1148   \n",
       "3        191        170        160        146  ...           152         149   \n",
       "\n",
       "   idle0  idle1  idle2  idle3  idle4  idle5  idle6  idle7  \n",
       "0    199    304    456    672    795    941   1033   1025  \n",
       "1    649    961   1309   1859   2336   2725   2906   2982  \n",
       "2    514    804   1147   1525   1842   2103   2277   2388  \n",
       "3     95    123    202    258    307    346    367    377  \n",
       "\n",
       "[4 rows x 23 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_heat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['interval_of_day', 'in_store0', 'in_store1', 'in_store2', 'in_store3',\n",
       "       'in_store4', 'in_store5', 'in_store6', 'in_store7', 'in_store8',\n",
       "       'in_store9', 'in_store10', 'in_store11', 'in_store12', 'in_store13',\n",
       "       'idle0', 'idle1', 'idle2', 'idle3', 'idle4', 'idle5', 'idle6', 'idle7'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_heat.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_instore = df_heat[['interval_of_day', 'in_store0', 'in_store1', 'in_store2', 'in_store3',\n",
    "       'in_store4', 'in_store5', 'in_store6', 'in_store7', 'in_store8',\n",
    "       'in_store9', 'in_store10', 'in_store11', 'in_store12', 'in_store13']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_idle = df_heat[['interval_of_day',\n",
    "       'idle0', 'idle1', 'idle2', 'idle3', 'idle4', 'idle5', 'idle6', 'idle7']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>interval_of_day</th>\n",
       "      <th>in_store0</th>\n",
       "      <th>in_store1</th>\n",
       "      <th>in_store2</th>\n",
       "      <th>in_store3</th>\n",
       "      <th>in_store4</th>\n",
       "      <th>in_store5</th>\n",
       "      <th>in_store6</th>\n",
       "      <th>in_store7</th>\n",
       "      <th>in_store8</th>\n",
       "      <th>in_store9</th>\n",
       "      <th>in_store10</th>\n",
       "      <th>in_store11</th>\n",
       "      <th>in_store12</th>\n",
       "      <th>in_store13</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1369</td>\n",
       "      <td>1264</td>\n",
       "      <td>1112</td>\n",
       "      <td>896</td>\n",
       "      <td>773</td>\n",
       "      <td>627</td>\n",
       "      <td>535</td>\n",
       "      <td>543</td>\n",
       "      <td>530</td>\n",
       "      <td>497</td>\n",
       "      <td>520</td>\n",
       "      <td>520</td>\n",
       "      <td>525</td>\n",
       "      <td>539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>3826</td>\n",
       "      <td>3514</td>\n",
       "      <td>3166</td>\n",
       "      <td>2616</td>\n",
       "      <td>2139</td>\n",
       "      <td>1750</td>\n",
       "      <td>1569</td>\n",
       "      <td>1493</td>\n",
       "      <td>1395</td>\n",
       "      <td>1354</td>\n",
       "      <td>1323</td>\n",
       "      <td>1396</td>\n",
       "      <td>1485</td>\n",
       "      <td>1520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2931</td>\n",
       "      <td>2641</td>\n",
       "      <td>2298</td>\n",
       "      <td>1920</td>\n",
       "      <td>1603</td>\n",
       "      <td>1342</td>\n",
       "      <td>1168</td>\n",
       "      <td>1057</td>\n",
       "      <td>1051</td>\n",
       "      <td>1016</td>\n",
       "      <td>1024</td>\n",
       "      <td>1134</td>\n",
       "      <td>1136</td>\n",
       "      <td>1148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>442</td>\n",
       "      <td>414</td>\n",
       "      <td>335</td>\n",
       "      <td>279</td>\n",
       "      <td>230</td>\n",
       "      <td>191</td>\n",
       "      <td>170</td>\n",
       "      <td>160</td>\n",
       "      <td>146</td>\n",
       "      <td>157</td>\n",
       "      <td>162</td>\n",
       "      <td>161</td>\n",
       "      <td>152</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   interval_of_day  in_store0  in_store1  in_store2  in_store3  in_store4  \\\n",
       "0                1       1369       1264       1112        896        773   \n",
       "1                2       3826       3514       3166       2616       2139   \n",
       "2                3       2931       2641       2298       1920       1603   \n",
       "3                4        442        414        335        279        230   \n",
       "\n",
       "   in_store5  in_store6  in_store7  in_store8  in_store9  in_store10  \\\n",
       "0        627        535        543        530        497         520   \n",
       "1       1750       1569       1493       1395       1354        1323   \n",
       "2       1342       1168       1057       1051       1016        1024   \n",
       "3        191        170        160        146        157         162   \n",
       "\n",
       "   in_store11  in_store12  in_store13  \n",
       "0         520         525         539  \n",
       "1        1396        1485        1520  \n",
       "2        1134        1136        1148  \n",
       "3         161         152         149  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_instore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": false
   },
   "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>interval_of_day</th>\n",
       "      <th>idle0</th>\n",
       "      <th>idle1</th>\n",
       "      <th>idle2</th>\n",
       "      <th>idle3</th>\n",
       "      <th>idle4</th>\n",
       "      <th>idle5</th>\n",
       "      <th>idle6</th>\n",
       "      <th>idle7</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>199</td>\n",
       "      <td>304</td>\n",
       "      <td>456</td>\n",
       "      <td>672</td>\n",
       "      <td>795</td>\n",
       "      <td>941</td>\n",
       "      <td>1033</td>\n",
       "      <td>1025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>649</td>\n",
       "      <td>961</td>\n",
       "      <td>1309</td>\n",
       "      <td>1859</td>\n",
       "      <td>2336</td>\n",
       "      <td>2725</td>\n",
       "      <td>2906</td>\n",
       "      <td>2982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>514</td>\n",
       "      <td>804</td>\n",
       "      <td>1147</td>\n",
       "      <td>1525</td>\n",
       "      <td>1842</td>\n",
       "      <td>2103</td>\n",
       "      <td>2277</td>\n",
       "      <td>2388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>95</td>\n",
       "      <td>123</td>\n",
       "      <td>202</td>\n",
       "      <td>258</td>\n",
       "      <td>307</td>\n",
       "      <td>346</td>\n",
       "      <td>367</td>\n",
       "      <td>377</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   interval_of_day  idle0  idle1  idle2  idle3  idle4  idle5  idle6  idle7\n",
       "0                1    199    304    456    672    795    941   1033   1025\n",
       "1                2    649    961   1309   1859   2336   2725   2906   2982\n",
       "2                3    514    804   1147   1525   1842   2103   2277   2388\n",
       "3                4     95    123    202    258    307    346    367    377"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_idle"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Save the df again for ease of plotting, now that the data is ready"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pickle as pickle\n",
    "with open('df_instore.pickle', 'wb', -1) as handle:\n",
    "    pickle.dump(df_instore, handle, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with open('df_idle.pickle', 'wb', -1) as handle:\n",
    "    pickle.dump(df_idle, handle, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_instore_plot = df_instore.melt('interval_of_day', var_name='cols',  value_name='vals')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_idle_plot = df_idle.melt('interval_of_day', var_name='cols',  value_name='vals')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "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>interval_of_day</th>\n",
       "      <th>cols</th>\n",
       "      <th>vals</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>in_store0</td>\n",
       "      <td>1369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>in_store0</td>\n",
       "      <td>3826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>in_store0</td>\n",
       "      <td>2931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>in_store0</td>\n",
       "      <td>442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>in_store1</td>\n",
       "      <td>1264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2</td>\n",
       "      <td>in_store1</td>\n",
       "      <td>3514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3</td>\n",
       "      <td>in_store1</td>\n",
       "      <td>2641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4</td>\n",
       "      <td>in_store1</td>\n",
       "      <td>414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>in_store2</td>\n",
       "      <td>1112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2</td>\n",
       "      <td>in_store2</td>\n",
       "      <td>3166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3</td>\n",
       "      <td>in_store2</td>\n",
       "      <td>2298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4</td>\n",
       "      <td>in_store2</td>\n",
       "      <td>335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>in_store3</td>\n",
       "      <td>896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2</td>\n",
       "      <td>in_store3</td>\n",
       "      <td>2616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3</td>\n",
       "      <td>in_store3</td>\n",
       "      <td>1920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>4</td>\n",
       "      <td>in_store3</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>in_store4</td>\n",
       "      <td>773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2</td>\n",
       "      <td>in_store4</td>\n",
       "      <td>2139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3</td>\n",
       "      <td>in_store4</td>\n",
       "      <td>1603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>4</td>\n",
       "      <td>in_store4</td>\n",
       "      <td>230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>in_store5</td>\n",
       "      <td>627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2</td>\n",
       "      <td>in_store5</td>\n",
       "      <td>1750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>3</td>\n",
       "      <td>in_store5</td>\n",
       "      <td>1342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>4</td>\n",
       "      <td>in_store5</td>\n",
       "      <td>191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>in_store6</td>\n",
       "      <td>535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2</td>\n",
       "      <td>in_store6</td>\n",
       "      <td>1569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>3</td>\n",
       "      <td>in_store6</td>\n",
       "      <td>1168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>4</td>\n",
       "      <td>in_store6</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>in_store7</td>\n",
       "      <td>543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2</td>\n",
       "      <td>in_store7</td>\n",
       "      <td>1493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>3</td>\n",
       "      <td>in_store7</td>\n",
       "      <td>1057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>4</td>\n",
       "      <td>in_store7</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1</td>\n",
       "      <td>in_store8</td>\n",
       "      <td>530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2</td>\n",
       "      <td>in_store8</td>\n",
       "      <td>1395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>3</td>\n",
       "      <td>in_store8</td>\n",
       "      <td>1051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>4</td>\n",
       "      <td>in_store8</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>1</td>\n",
       "      <td>in_store9</td>\n",
       "      <td>497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2</td>\n",
       "      <td>in_store9</td>\n",
       "      <td>1354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>3</td>\n",
       "      <td>in_store9</td>\n",
       "      <td>1016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>4</td>\n",
       "      <td>in_store9</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>1</td>\n",
       "      <td>in_store10</td>\n",
       "      <td>520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2</td>\n",
       "      <td>in_store10</td>\n",
       "      <td>1323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>3</td>\n",
       "      <td>in_store10</td>\n",
       "      <td>1024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>4</td>\n",
       "      <td>in_store10</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>1</td>\n",
       "      <td>in_store11</td>\n",
       "      <td>520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2</td>\n",
       "      <td>in_store11</td>\n",
       "      <td>1396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>3</td>\n",
       "      <td>in_store11</td>\n",
       "      <td>1134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4</td>\n",
       "      <td>in_store11</td>\n",
       "      <td>161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>1</td>\n",
       "      <td>in_store12</td>\n",
       "      <td>525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2</td>\n",
       "      <td>in_store12</td>\n",
       "      <td>1485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>3</td>\n",
       "      <td>in_store12</td>\n",
       "      <td>1136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>4</td>\n",
       "      <td>in_store12</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>1</td>\n",
       "      <td>in_store13</td>\n",
       "      <td>539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2</td>\n",
       "      <td>in_store13</td>\n",
       "      <td>1520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>3</td>\n",
       "      <td>in_store13</td>\n",
       "      <td>1148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>4</td>\n",
       "      <td>in_store13</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    interval_of_day        cols  vals\n",
       "0                 1   in_store0  1369\n",
       "1                 2   in_store0  3826\n",
       "2                 3   in_store0  2931\n",
       "3                 4   in_store0   442\n",
       "4                 1   in_store1  1264\n",
       "5                 2   in_store1  3514\n",
       "6                 3   in_store1  2641\n",
       "7                 4   in_store1   414\n",
       "8                 1   in_store2  1112\n",
       "9                 2   in_store2  3166\n",
       "10                3   in_store2  2298\n",
       "11                4   in_store2   335\n",
       "12                1   in_store3   896\n",
       "13                2   in_store3  2616\n",
       "14                3   in_store3  1920\n",
       "15                4   in_store3   279\n",
       "16                1   in_store4   773\n",
       "17                2   in_store4  2139\n",
       "18                3   in_store4  1603\n",
       "19                4   in_store4   230\n",
       "20                1   in_store5   627\n",
       "21                2   in_store5  1750\n",
       "22                3   in_store5  1342\n",
       "23                4   in_store5   191\n",
       "24                1   in_store6   535\n",
       "25                2   in_store6  1569\n",
       "26                3   in_store6  1168\n",
       "27                4   in_store6   170\n",
       "28                1   in_store7   543\n",
       "29                2   in_store7  1493\n",
       "30                3   in_store7  1057\n",
       "31                4   in_store7   160\n",
       "32                1   in_store8   530\n",
       "33                2   in_store8  1395\n",
       "34                3   in_store8  1051\n",
       "35                4   in_store8   146\n",
       "36                1   in_store9   497\n",
       "37                2   in_store9  1354\n",
       "38                3   in_store9  1016\n",
       "39                4   in_store9   157\n",
       "40                1  in_store10   520\n",
       "41                2  in_store10  1323\n",
       "42                3  in_store10  1024\n",
       "43                4  in_store10   162\n",
       "44                1  in_store11   520\n",
       "45                2  in_store11  1396\n",
       "46                3  in_store11  1134\n",
       "47                4  in_store11   161\n",
       "48                1  in_store12   525\n",
       "49                2  in_store12  1485\n",
       "50                3  in_store12  1136\n",
       "51                4  in_store12   152\n",
       "52                1  in_store13   539\n",
       "53                2  in_store13  1520\n",
       "54                3  in_store13  1148\n",
       "55                4  in_store13   149"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_instore_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": true
   },
   "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>interval_of_day</th>\n",
       "      <th>cols</th>\n",
       "      <th>vals</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>idle0</td>\n",
       "      <td>199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>idle0</td>\n",
       "      <td>649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>idle0</td>\n",
       "      <td>514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>idle0</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>idle1</td>\n",
       "      <td>304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2</td>\n",
       "      <td>idle1</td>\n",
       "      <td>961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3</td>\n",
       "      <td>idle1</td>\n",
       "      <td>804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4</td>\n",
       "      <td>idle1</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>idle2</td>\n",
       "      <td>456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2</td>\n",
       "      <td>idle2</td>\n",
       "      <td>1309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3</td>\n",
       "      <td>idle2</td>\n",
       "      <td>1147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4</td>\n",
       "      <td>idle2</td>\n",
       "      <td>202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>idle3</td>\n",
       "      <td>672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2</td>\n",
       "      <td>idle3</td>\n",
       "      <td>1859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3</td>\n",
       "      <td>idle3</td>\n",
       "      <td>1525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>4</td>\n",
       "      <td>idle3</td>\n",
       "      <td>258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>idle4</td>\n",
       "      <td>795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2</td>\n",
       "      <td>idle4</td>\n",
       "      <td>2336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3</td>\n",
       "      <td>idle4</td>\n",
       "      <td>1842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>4</td>\n",
       "      <td>idle4</td>\n",
       "      <td>307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>idle5</td>\n",
       "      <td>941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2</td>\n",
       "      <td>idle5</td>\n",
       "      <td>2725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>3</td>\n",
       "      <td>idle5</td>\n",
       "      <td>2103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>4</td>\n",
       "      <td>idle5</td>\n",
       "      <td>346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>idle6</td>\n",
       "      <td>1033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2</td>\n",
       "      <td>idle6</td>\n",
       "      <td>2906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>3</td>\n",
       "      <td>idle6</td>\n",
       "      <td>2277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>4</td>\n",
       "      <td>idle6</td>\n",
       "      <td>367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>idle7</td>\n",
       "      <td>1025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2</td>\n",
       "      <td>idle7</td>\n",
       "      <td>2982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>3</td>\n",
       "      <td>idle7</td>\n",
       "      <td>2388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>4</td>\n",
       "      <td>idle7</td>\n",
       "      <td>377</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    interval_of_day   cols  vals\n",
       "0                 1  idle0   199\n",
       "1                 2  idle0   649\n",
       "2                 3  idle0   514\n",
       "3                 4  idle0    95\n",
       "4                 1  idle1   304\n",
       "5                 2  idle1   961\n",
       "6                 3  idle1   804\n",
       "7                 4  idle1   123\n",
       "8                 1  idle2   456\n",
       "9                 2  idle2  1309\n",
       "10                3  idle2  1147\n",
       "11                4  idle2   202\n",
       "12                1  idle3   672\n",
       "13                2  idle3  1859\n",
       "14                3  idle3  1525\n",
       "15                4  idle3   258\n",
       "16                1  idle4   795\n",
       "17                2  idle4  2336\n",
       "18                3  idle4  1842\n",
       "19                4  idle4   307\n",
       "20                1  idle5   941\n",
       "21                2  idle5  2725\n",
       "22                3  idle5  2103\n",
       "23                4  idle5   346\n",
       "24                1  idle6  1033\n",
       "25                2  idle6  2906\n",
       "26                3  idle6  2277\n",
       "27                4  idle6   367\n",
       "28                1  idle7  1025\n",
       "29                2  idle7  2982\n",
       "30                3  idle7  2388\n",
       "31                4  idle7   377"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_idle_plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# for some reason the data has to be reimported every time!!\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2abef625c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "current_palette = sns.color_palette(\"hls\", 8)\n",
    "sns.factorplot(x=\"interval_of_day\", y=\"vals\", hue='cols', data=df_instore_plot)\n",
    "plt.ylim(0, 4000)\n",
    "# plt.savefig('Dwell_time in_store.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2abed771d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flatui = [\"#9b59b6\", \"#3498db\", \"#95a5a6\", \"#e74c3c\", \"#34495e\", \"#2ecc71\"]\n",
    "current_palette = sns.color_palette(flatui)\n",
    "# or\n",
    "# current_palette = sns.color_palette(\"husl\", 8)\n",
    "g = sns.factorplot(x=\"interval_of_day\", y=\"vals\", hue='cols', data=df_idle_plot, linestyles='dashed')\n",
    "plt.ylim(0, 4000) # to make both graphs useful for side by side comparison\n",
    "# plt.savefig('Dwell_time not_in_store.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}