P4_03_notebook_features_engineering.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7f8ca66b",
   "metadata": {},
   "source": [
    "<h2 style=\"color:darkred;font-size:30px\">Projet 3 : Anticipez les besoins en consommation électrique de bâtiments</h2>\n",
    "\n",
    "<img src=\"images\\seattle.png\" alt=\"Drawing\" style=\"width: 250px;\"/>\n",
    "\n",
    "<h2 style=\"color:darkred;font-size:30px\">Notebook 3 : Features Engineering</h2>\n",
    "\n",
    "---\n",
    "---\n",
    "---\n",
    "\n",
    "<h2 style=\"color:darkred;font-size:20px\">Sommaire</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c34e3f95",
   "metadata": {},
   "outputs": [],
   "source": [
    "# les libraries nécessaires :\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import math\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "sns.set_style(\"whitegrid\")\n",
    "# seaborn settings\n",
    "# plt.style.use(\"seaborn-whitegrid\") \n",
    "\n",
    "import statsmodels.formula.api as smf\n",
    "import statsmodels.api as sm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cbb91f98",
   "metadata": {},
   "outputs": [],
   "source": [
    "# quelques arrangement sur jupyter\n",
    "\n",
    "# pour voir toutes les colonnes\n",
    "pd.set_option('display.max_columns', 100)\n",
    "pd.set_option('display.max_row', 100)\n",
    "\n",
    "# style de titres\n",
    "font = {'family': 'Arial',\n",
    "        'color':  'darkred',\n",
    "        'weight': 'bold',\n",
    "        'size': 30,\n",
    "        }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "82574122",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Le jeu des données data compte 26 colonnes et 1686 lignes.\n"
     ]
    }
   ],
   "source": [
    "# lire le fichier csv \n",
    "data = pd.read_csv('data/building-energy-benchmarking_data.csv')\n",
    "print('Le jeu des données data compte {} colonnes et {} lignes.'.format(data.shape[1]\n",
    "                                                                        , data.shape[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "31bd38d0",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1686 entries, 0 to 1685\n",
      "Data columns (total 26 columns):\n",
      " #   Column                           Non-Null Count  Dtype  \n",
      "---  ------                           --------------  -----  \n",
      " 0   OSEBuildingID                    1686 non-null   int64  \n",
      " 1   BuildingType                     1686 non-null   object \n",
      " 2   PrimaryPropertyType              1686 non-null   object \n",
      " 3   PropertyName                     1686 non-null   object \n",
      " 4   CouncilDistrictCode              1686 non-null   object \n",
      " 5   Neighborhood                     1686 non-null   object \n",
      " 6   NumberofBuildings                1686 non-null   int64  \n",
      " 7   NumberofFloors                   1686 non-null   int64  \n",
      " 8   PropertyGFATotal                 1686 non-null   int64  \n",
      " 9   PropertyGFAParking               1686 non-null   int64  \n",
      " 10  PropertyGFABuilding(s)           1686 non-null   int64  \n",
      " 11  ListOfAllPropertyUseTypes        1673 non-null   object \n",
      " 12  LargestPropertyUseType           1669 non-null   object \n",
      " 13  LargestPropertyUseTypeGFA        1686 non-null   int64  \n",
      " 14  SecondLargestPropertyUseType     864 non-null    object \n",
      " 15  SecondLargestPropertyUseTypeGFA  1686 non-null   int64  \n",
      " 16  ThirdLargestPropertyUseType      355 non-null    object \n",
      " 17  ThirdLargestPropertyUseTypeGFA   1686 non-null   int64  \n",
      " 18  ENERGYSTARScore                  1117 non-null   float64\n",
      " 19  SiteEnergyUse(kBtu)              1686 non-null   int64  \n",
      " 20  SteamUse(kBtu)                   1686 non-null   int64  \n",
      " 21  Electricity(kBtu)                1686 non-null   int64  \n",
      " 22  NaturalGas(kBtu)                 1686 non-null   int64  \n",
      " 23  TotalGHGEmissions                1686 non-null   int64  \n",
      " 24  ZipCode                          1686 non-null   int64  \n",
      " 25  BuildingAge                      1686 non-null   int64  \n",
      "dtypes: float64(1), int64(16), object(9)\n",
      "memory usage: 342.6+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "14fe9f4b",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OSEBuildingID</th>\n",
       "      <th>BuildingType</th>\n",
       "      <th>PrimaryPropertyType</th>\n",
       "      <th>PropertyName</th>\n",
       "      <th>CouncilDistrictCode</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>NumberofBuildings</th>\n",
       "      <th>NumberofFloors</th>\n",
       "      <th>PropertyGFATotal</th>\n",
       "      <th>PropertyGFAParking</th>\n",
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       "      <th>LargestPropertyUseTypeGFA</th>\n",
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       "      <th>SecondLargestPropertyUseTypeGFA</th>\n",
       "      <th>ThirdLargestPropertyUseType</th>\n",
       "      <th>ThirdLargestPropertyUseTypeGFA</th>\n",
       "      <th>ENERGYSTARScore</th>\n",
       "      <th>SiteEnergyUse(kBtu)</th>\n",
       "      <th>SteamUse(kBtu)</th>\n",
       "      <th>Electricity(kBtu)</th>\n",
       "      <th>NaturalGas(kBtu)</th>\n",
       "      <th>TotalGHGEmissions</th>\n",
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       "      <th>102</th>\n",
       "      <td>172</td>\n",
       "      <td>Campus</td>\n",
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       "      <td>SSCC MAIN CAMPUS</td>\n",
       "      <td>a</td>\n",
       "      <td>Delridge</td>\n",
       "      <td>27</td>\n",
       "      <td>2</td>\n",
       "      <td>441071</td>\n",
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       "      <td>441071</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>38301744</td>\n",
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       "      <td>25314575</td>\n",
       "      <td>12987166</td>\n",
       "      <td>866</td>\n",
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       "      <td>51</td>\n",
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       "    <tr>\n",
       "      <th>1112</th>\n",
       "      <td>23622</td>\n",
       "      <td>Campus</td>\n",
       "      <td>Other</td>\n",
       "      <td>FT C15 Fishermen's Center</td>\n",
       "      <td>g</td>\n",
       "      <td>Magnolia / queen anne</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>260241</td>\n",
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       "      <td>Other</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>34012980</td>\n",
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       "      <td>26894616</td>\n",
       "      <td>7118362</td>\n",
       "      <td>566</td>\n",
       "      <td>98119</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>261</td>\n",
       "      <td>Campus</td>\n",
       "      <td>Large Office</td>\n",
       "      <td>South Park</td>\n",
       "      <td>a</td>\n",
       "      <td>Greater duwamish</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>334368</td>\n",
       "      <td>31874</td>\n",
       "      <td>302494</td>\n",
       "      <td>Laboratory, Non-Refrigerated Warehouse, Office...</td>\n",
       "      <td>Office</td>\n",
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       "      <td>Laboratory</td>\n",
       "      <td>72963</td>\n",
       "      <td>Other - Utility</td>\n",
       "      <td>16766</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53466684</td>\n",
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       "      <td>749</td>\n",
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       "      <th>1337</th>\n",
       "      <td>25251</td>\n",
       "      <td>Campus</td>\n",
       "      <td>University</td>\n",
       "      <td>5th Avenue Master Meter</td>\n",
       "      <td>g</td>\n",
       "      <td>Magnolia / queen anne</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>537000</td>\n",
       "      <td>0</td>\n",
       "      <td>537000</td>\n",
       "      <td>College/University</td>\n",
       "      <td>College/University</td>\n",
       "      <td>533826</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90609640</td>\n",
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       "      <td>67990538</td>\n",
       "      <td>3769</td>\n",
       "      <td>98119</td>\n",
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       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>211</td>\n",
       "      <td>Campus</td>\n",
       "      <td>University</td>\n",
       "      <td>NSCC MAIN CAMPUS</td>\n",
       "      <td>e</td>\n",
       "      <td>Northwest</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>694072</td>\n",
       "      <td>111625</td>\n",
       "      <td>582447</td>\n",
       "      <td>College/University</td>\n",
       "      <td>College/University</td>\n",
       "      <td>667335</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>35891484</td>\n",
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       "      <td>33450832</td>\n",
       "      <td>2440648</td>\n",
       "      <td>363</td>\n",
       "      <td>98103</td>\n",
       "      <td>51</td>\n",
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      "text/plain": [
       "      OSEBuildingID BuildingType PrimaryPropertyType  \\\n",
       "102             172       Campus          University   \n",
       "1112          23622       Campus               Other   \n",
       "158             261       Campus        Large Office   \n",
       "1337          25251       Campus          University   \n",
       "124             211       Campus          University   \n",
       "\n",
       "                   PropertyName CouncilDistrictCode           Neighborhood  \\\n",
       "102            SSCC MAIN CAMPUS                   a               Delridge   \n",
       "1112  FT C15 Fishermen's Center                   g  Magnolia / queen anne   \n",
       "158                  South Park                   a       Greater duwamish   \n",
       "1337    5th Avenue Master Meter                   g  Magnolia / queen anne   \n",
       "124            NSCC MAIN CAMPUS                   e              Northwest   \n",
       "\n",
       "      NumberofBuildings  NumberofFloors  PropertyGFATotal  PropertyGFAParking  \\\n",
       "102                  27               2            441071                   0   \n",
       "1112                 23               1            260241                   0   \n",
       "158                  14               2            334368               31874   \n",
       "1337                 14               2            537000                   0   \n",
       "124                  11               2            694072              111625   \n",
       "\n",
       "      PropertyGFABuilding(s)  \\\n",
       "102                   441071   \n",
       "1112                  260241   \n",
       "158                   302494   \n",
       "1337                  537000   \n",
       "124                   582447   \n",
       "\n",
       "                              ListOfAllPropertyUseTypes  \\\n",
       "102                                  College/University   \n",
       "1112                                              Other   \n",
       "158   Laboratory, Non-Refrigerated Warehouse, Office...   \n",
       "1337                                 College/University   \n",
       "124                                  College/University   \n",
       "\n",
       "     LargestPropertyUseType  LargestPropertyUseTypeGFA  \\\n",
       "102      College/University                     483000   \n",
       "1112                  Other                     260241   \n",
       "158                  Office                     240984   \n",
       "1337     College/University                     533826   \n",
       "124      College/University                     667335   \n",
       "\n",
       "     SecondLargestPropertyUseType  SecondLargestPropertyUseTypeGFA  \\\n",
       "102                           NaN                                0   \n",
       "1112                          NaN                                0   \n",
       "158                    Laboratory                            72963   \n",
       "1337                          NaN                                0   \n",
       "124                           NaN                                0   \n",
       "\n",
       "     ThirdLargestPropertyUseType  ThirdLargestPropertyUseTypeGFA  \\\n",
       "102                          NaN                               0   \n",
       "1112                         NaN                               0   \n",
       "158              Other - Utility                           16766   \n",
       "1337                         NaN                               0   \n",
       "124                          NaN                               0   \n",
       "\n",
       "      ENERGYSTARScore  SiteEnergyUse(kBtu)  SteamUse(kBtu)  Electricity(kBtu)  \\\n",
       "102               NaN             38301744               0           25314575   \n",
       "1112              NaN             34012980               0           26894616   \n",
       "158               NaN             53466684               0           45321378   \n",
       "1337              NaN             90609640               0           22619097   \n",
       "124               NaN             35891484               0           33450832   \n",
       "\n",
       "      NaturalGas(kBtu)  TotalGHGEmissions  ZipCode  BuildingAge  \n",
       "102           12987166                866    98106           51  \n",
       "1112           7118362                566    98119           66  \n",
       "158            8145300                749    98108           41  \n",
       "1337          67990538               3769    98119           76  \n",
       "124            2440648                363    98103           51  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[(data['NumberofBuildings'] > 10)].sort_values(by=['NumberofBuildings'], ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "37a01419",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data[data['NumberofBuildings'] < 11].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0718cf4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5, 26)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[(data['NumberofBuildings'] > 4) & (data['BuildingType'] == 'Campus')].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bb91af20",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(17, 26)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[(data['NumberofBuildings'] > 4)].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "71945505",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1681"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e7cd554e",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "      <td>Campus</td>\n",
       "      <td>Other</td>\n",
       "      <td>(ID#24086)Campus1:KC Metro Transit Atlantic Ce...</td>\n",
       "      <td>b</td>\n",
       "      <td>Greater duwamish</td>\n",
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       "      <td>0</td>\n",
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       "      <td>Other, Parking</td>\n",
       "      <td>Other</td>\n",
       "      <td>230970</td>\n",
       "      <td>Parking</td>\n",
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       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>15419770</td>\n",
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       "      <td>30</td>\n",
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       "      <th>1633</th>\n",
       "      <td>49859</td>\n",
       "      <td>Campus</td>\n",
       "      <td>Other</td>\n",
       "      <td>AMGEN INC. MASTER CAMPUS</td>\n",
       "      <td>g</td>\n",
       "      <td>Magnolia / queen anne</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>808520</td>\n",
       "      <td>376000</td>\n",
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       "      <td>Other</td>\n",
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       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>157606480</td>\n",
       "      <td>0</td>\n",
       "      <td>76742000</td>\n",
       "      <td>80867644</td>\n",
       "      <td>4830</td>\n",
       "      <td>98119</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1075</th>\n",
       "      <td>23117</td>\n",
       "      <td>Campus</td>\n",
       "      <td>Other</td>\n",
       "      <td>Joint Training Facilities Campus</td>\n",
       "      <td>a</td>\n",
       "      <td>Delridge</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>57952</td>\n",
       "      <td>0</td>\n",
       "      <td>57952</td>\n",
       "      <td>Adult Education</td>\n",
       "      <td>Adult Education</td>\n",
       "      <td>57952</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3091388</td>\n",
       "      <td>0</td>\n",
       "      <td>1474450</td>\n",
       "      <td>1616937</td>\n",
       "      <td>96</td>\n",
       "      <td>98108</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1084</th>\n",
       "      <td>23265</td>\n",
       "      <td>Campus</td>\n",
       "      <td>Other</td>\n",
       "      <td>T102 1011 B/C</td>\n",
       "      <td>a</td>\n",
       "      <td>Greater duwamish</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>138907</td>\n",
       "      <td>0</td>\n",
       "      <td>138907</td>\n",
       "      <td>Other</td>\n",
       "      <td>Other</td>\n",
       "      <td>139557</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7837692</td>\n",
       "      <td>0</td>\n",
       "      <td>5130303</td>\n",
       "      <td>2707389</td>\n",
       "      <td>180</td>\n",
       "      <td>98134</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740</th>\n",
       "      <td>20325</td>\n",
       "      <td>Campus</td>\n",
       "      <td>K-12 School</td>\n",
       "      <td>University Prep Academy</td>\n",
       "      <td>d</td>\n",
       "      <td>Northeast</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>21500</td>\n",
       "      <td>0</td>\n",
       "      <td>21500</td>\n",
       "      <td>K-12 School</td>\n",
       "      <td>K-12 School</td>\n",
       "      <td>96154</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>6689184</td>\n",
       "      <td>0</td>\n",
       "      <td>3307692</td>\n",
       "      <td>3381491</td>\n",
       "      <td>203</td>\n",
       "      <td>98115</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>315</td>\n",
       "      <td>Campus</td>\n",
       "      <td>Other</td>\n",
       "      <td>P66 Bell Harbor International Conference Cente...</td>\n",
       "      <td>g</td>\n",
       "      <td>Downtown</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>215476</td>\n",
       "      <td>0</td>\n",
       "      <td>215476</td>\n",
       "      <td>Other</td>\n",
       "      <td>Other</td>\n",
       "      <td>217088</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24017770</td>\n",
       "      <td>0</td>\n",
       "      <td>13788853</td>\n",
       "      <td>10228916</td>\n",
       "      <td>639</td>\n",
       "      <td>98125</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1638</th>\n",
       "      <td>49909</td>\n",
       "      <td>Campus</td>\n",
       "      <td>University</td>\n",
       "      <td>SSCC DUWAMISH GEORGETOWN CAMPUS</td>\n",
       "      <td>b</td>\n",
       "      <td>Greater duwamish</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>149856</td>\n",
       "      <td>0</td>\n",
       "      <td>149856</td>\n",
       "      <td>College/University</td>\n",
       "      <td>College/University</td>\n",
       "      <td>149856</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6335316</td>\n",
       "      <td>0</td>\n",
       "      <td>4967236</td>\n",
       "      <td>1368079</td>\n",
       "      <td>107</td>\n",
       "      <td>98108</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>644</th>\n",
       "      <td>19491</td>\n",
       "      <td>Campus</td>\n",
       "      <td>Other</td>\n",
       "      <td>Pacific Multiforms Inc- Campus</td>\n",
       "      <td>b</td>\n",
       "      <td>Greater duwamish</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>22800</td>\n",
       "      <td>0</td>\n",
       "      <td>22800</td>\n",
       "      <td>Manufacturing/Industrial Plant</td>\n",
       "      <td>Manufacturing/Industrial Plant</td>\n",
       "      <td>22800</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2222098</td>\n",
       "      <td>0</td>\n",
       "      <td>358020</td>\n",
       "      <td>1864077</td>\n",
       "      <td>102</td>\n",
       "      <td>98155</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>432</td>\n",
       "      <td>Campus</td>\n",
       "      <td>Mixed Use Property</td>\n",
       "      <td>Securities Building Campus</td>\n",
       "      <td>g</td>\n",
       "      <td>Downtown</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>258497</td>\n",
       "      <td>0</td>\n",
       "      <td>258497</td>\n",
       "      <td>Data Center, Office, Parking, Restaurant, Reta...</td>\n",
       "      <td>Parking</td>\n",
       "      <td>155000</td>\n",
       "      <td>Office</td>\n",
       "      <td>145594</td>\n",
       "      <td>Retail Store</td>\n",
       "      <td>103200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20779796</td>\n",
       "      <td>3902781</td>\n",
       "      <td>16877013</td>\n",
       "      <td>0</td>\n",
       "      <td>419</td>\n",
       "      <td>98101</td>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>922</th>\n",
       "      <td>21481</td>\n",
       "      <td>Campus</td>\n",
       "      <td>Low-Rise Multifamily</td>\n",
       "      <td>Sanitary Market</td>\n",
       "      <td>g</td>\n",
       "      <td>Downtown</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>45500</td>\n",
       "      <td>0</td>\n",
       "      <td>45500</td>\n",
       "      <td>Bar/Nightclub, Food Sales, Multifamily Housing...</td>\n",
       "      <td>Multifamily Housing</td>\n",
       "      <td>22669</td>\n",
       "      <td>Retail Store</td>\n",
       "      <td>10455</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>3668</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3778355</td>\n",
       "      <td>0</td>\n",
       "      <td>3778355</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>98101</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>923</th>\n",
       "      <td>21482</td>\n",
       "      <td>Campus</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Corner Market</td>\n",
       "      <td>g</td>\n",
       "      <td>Downtown</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>25380</td>\n",
       "      <td>0</td>\n",
       "      <td>25380</td>\n",
       "      <td>Food Sales, Office, Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>17114</td>\n",
       "      <td>Food Sales</td>\n",
       "      <td>6426</td>\n",
       "      <td>Office</td>\n",
       "      <td>1840</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6901554</td>\n",
       "      <td>0</td>\n",
       "      <td>3202277</td>\n",
       "      <td>3699277</td>\n",
       "      <td>219</td>\n",
       "      <td>98101</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>419</td>\n",
       "      <td>Campus</td>\n",
       "      <td>Mixed Use Property</td>\n",
       "      <td>Main Market</td>\n",
       "      <td>g</td>\n",
       "      <td>Downtown</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>137400</td>\n",
       "      <td>0</td>\n",
       "      <td>137400</td>\n",
       "      <td>Food Sales, Multifamily Housing, Office, Other...</td>\n",
       "      <td>Retail Store</td>\n",
       "      <td>44078</td>\n",
       "      <td>Other - Restaurant/Bar</td>\n",
       "      <td>19182</td>\n",
       "      <td>Multifamily Housing</td>\n",
       "      <td>14380</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14940504</td>\n",
       "      <td>0</td>\n",
       "      <td>10344729</td>\n",
       "      <td>4595774</td>\n",
       "      <td>316</td>\n",
       "      <td>98101</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>921</th>\n",
       "      <td>21478</td>\n",
       "      <td>Campus</td>\n",
       "      <td>Mixed Use Property</td>\n",
       "      <td>Economy Market</td>\n",
       "      <td>g</td>\n",
       "      <td>Downtown</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>49280</td>\n",
       "      <td>0</td>\n",
       "      <td>49280</td>\n",
       "      <td>Food Sales, Office, Restaurant, Retail Store, ...</td>\n",
       "      <td>Retail Store</td>\n",
       "      <td>15614</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>9240</td>\n",
       "      <td>Social/Meeting Hall</td>\n",
       "      <td>8199</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5437110</td>\n",
       "      <td>0</td>\n",
       "      <td>4128496</td>\n",
       "      <td>1308614</td>\n",
       "      <td>98</td>\n",
       "      <td>98101</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>477</td>\n",
       "      <td>Campus</td>\n",
       "      <td>Other</td>\n",
       "      <td>Weintraub/Hutchinson/Thomas</td>\n",
       "      <td>c</td>\n",
       "      <td>Lake union</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>535947</td>\n",
       "      <td>0</td>\n",
       "      <td>535947</td>\n",
       "      <td>Other, Parking</td>\n",
       "      <td>Other</td>\n",
       "      <td>535947</td>\n",
       "      <td>Parking</td>\n",
       "      <td>103983</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131373880</td>\n",
       "      <td>0</td>\n",
       "      <td>64627449</td>\n",
       "      <td>66746425</td>\n",
       "      <td>3995</td>\n",
       "      <td>98109</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1328</th>\n",
       "      <td>25069</td>\n",
       "      <td>Campus</td>\n",
       "      <td>K-12 School</td>\n",
       "      <td>O'Dea High School</td>\n",
       "      <td>c</td>\n",
       "      <td>East</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>46100</td>\n",
       "      <td>0</td>\n",
       "      <td>46100</td>\n",
       "      <td>K-12 School, Parking</td>\n",
       "      <td>K-12 School</td>\n",
       "      <td>46100</td>\n",
       "      <td>Parking</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>2177065</td>\n",
       "      <td>548295</td>\n",
       "      <td>1097533</td>\n",
       "      <td>531237</td>\n",
       "      <td>78</td>\n",
       "      <td>98104</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1539</th>\n",
       "      <td>27799</td>\n",
       "      <td>Campus</td>\n",
       "      <td>K-12 School</td>\n",
       "      <td>The Bush School - Lower / Middle School</td>\n",
       "      <td>c</td>\n",
       "      <td>Central</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>109794</td>\n",
       "      <td>0</td>\n",
       "      <td>109794</td>\n",
       "      <td>K-12 School</td>\n",
       "      <td>K-12 School</td>\n",
       "      <td>109794</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>3296526</td>\n",
       "      <td>0</td>\n",
       "      <td>1294767</td>\n",
       "      <td>2001759</td>\n",
       "      <td>115</td>\n",
       "      <td>98112</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1553</th>\n",
       "      <td>27901</td>\n",
       "      <td>Campus</td>\n",
       "      <td>K-12 School</td>\n",
       "      <td>The Bush School - Upper School</td>\n",
       "      <td>c</td>\n",
       "      <td>Central</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>30562</td>\n",
       "      <td>0</td>\n",
       "      <td>30562</td>\n",
       "      <td>K-12 School</td>\n",
       "      <td>K-12 School</td>\n",
       "      <td>30562</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>1622231</td>\n",
       "      <td>0</td>\n",
       "      <td>659450</td>\n",
       "      <td>962781</td>\n",
       "      <td>56</td>\n",
       "      <td>98112</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>22062</td>\n",
       "      <td>Campus</td>\n",
       "      <td>University</td>\n",
       "      <td>Entire Campus</td>\n",
       "      <td>c</td>\n",
       "      <td>East</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2200000</td>\n",
       "      <td>0</td>\n",
       "      <td>2200000</td>\n",
       "      <td>College/University, Parking</td>\n",
       "      <td>College/University</td>\n",
       "      <td>1719643</td>\n",
       "      <td>Parking</td>\n",
       "      <td>318960</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>114648520</td>\n",
       "      <td>0</td>\n",
       "      <td>61672821</td>\n",
       "      <td>52975694</td>\n",
       "      <td>3243</td>\n",
       "      <td>98122</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      OSEBuildingID BuildingType   PrimaryPropertyType  \\\n",
       "1178          24086       Campus                 Other   \n",
       "1633          49859       Campus                 Other   \n",
       "1075          23117       Campus                 Other   \n",
       "1084          23265       Campus                 Other   \n",
       "740           20325       Campus           K-12 School   \n",
       "186             315       Campus                 Other   \n",
       "1638          49909       Campus            University   \n",
       "644           19491       Campus                 Other   \n",
       "295             432       Campus    Mixed Use Property   \n",
       "922           21481       Campus  Low-Rise Multifamily   \n",
       "923           21482       Campus            Restaurant   \n",
       "283             419       Campus    Mixed Use Property   \n",
       "921           21478       Campus    Mixed Use Property   \n",
       "334             477       Campus                 Other   \n",
       "1328          25069       Campus           K-12 School   \n",
       "1539          27799       Campus           K-12 School   \n",
       "1553          27901       Campus           K-12 School   \n",
       "993           22062       Campus            University   \n",
       "\n",
       "                                           PropertyName CouncilDistrictCode  \\\n",
       "1178  (ID#24086)Campus1:KC Metro Transit Atlantic Ce...                   b   \n",
       "1633                           AMGEN INC. MASTER CAMPUS                   g   \n",
       "1075                   Joint Training Facilities Campus                   a   \n",
       "1084                                      T102 1011 B/C                   a   \n",
       "740                             University Prep Academy                   d   \n",
       "186   P66 Bell Harbor International Conference Cente...                   g   \n",
       "1638                    SSCC DUWAMISH GEORGETOWN CAMPUS                   b   \n",
       "644                      Pacific Multiforms Inc- Campus                   b   \n",
       "295                          Securities Building Campus                   g   \n",
       "922                                     Sanitary Market                   g   \n",
       "923                                       Corner Market                   g   \n",
       "283                                         Main Market                   g   \n",
       "921                                      Economy Market                   g   \n",
       "334                         Weintraub/Hutchinson/Thomas                   c   \n",
       "1328                                  O'Dea High School                   c   \n",
       "1539            The Bush School - Lower / Middle School                   c   \n",
       "1553                     The Bush School - Upper School                   c   \n",
       "993                                       Entire Campus                   c   \n",
       "\n",
       "               Neighborhood  NumberofBuildings  NumberofFloors  \\\n",
       "1178       Greater duwamish                 10               0   \n",
       "1633  Magnolia / queen anne                  7               4   \n",
       "1075               Delridge                  5               1   \n",
       "1084       Greater duwamish                  5               2   \n",
       "740               Northeast                  5               3   \n",
       "186                Downtown                  4               3   \n",
       "1638       Greater duwamish                  4               2   \n",
       "644        Greater duwamish                  3               1   \n",
       "295                Downtown                  3              10   \n",
       "922                Downtown                  1               4   \n",
       "923                Downtown                  1               2   \n",
       "283                Downtown                  1               4   \n",
       "921                Downtown                  1               2   \n",
       "334              Lake union                  1               5   \n",
       "1328                   East                  1               4   \n",
       "1539                Central                  1               1   \n",
       "1553                Central                  1               2   \n",
       "993                    East                  1               2   \n",
       "\n",
       "      PropertyGFATotal  PropertyGFAParking  PropertyGFABuilding(s)  \\\n",
       "1178            230971                   0                  230971   \n",
       "1633            808520              376000                  432520   \n",
       "1075             57952                   0                   57952   \n",
       "1084            138907                   0                  138907   \n",
       "740              21500                   0                   21500   \n",
       "186             215476                   0                  215476   \n",
       "1638            149856                   0                  149856   \n",
       "644              22800                   0                   22800   \n",
       "295             258497                   0                  258497   \n",
       "922              45500                   0                   45500   \n",
       "923              25380                   0                   25380   \n",
       "283             137400                   0                  137400   \n",
       "921              49280                   0                   49280   \n",
       "334             535947                   0                  535947   \n",
       "1328             46100                   0                   46100   \n",
       "1539            109794                   0                  109794   \n",
       "1553             30562                   0                   30562   \n",
       "993            2200000                   0                 2200000   \n",
       "\n",
       "                              ListOfAllPropertyUseTypes  \\\n",
       "1178                                     Other, Parking   \n",
       "1633                                              Other   \n",
       "1075                                    Adult Education   \n",
       "1084                                              Other   \n",
       "740                                         K-12 School   \n",
       "186                                               Other   \n",
       "1638                                 College/University   \n",
       "644                      Manufacturing/Industrial Plant   \n",
       "295   Data Center, Office, Parking, Restaurant, Reta...   \n",
       "922   Bar/Nightclub, Food Sales, Multifamily Housing...   \n",
       "923                      Food Sales, Office, Restaurant   \n",
       "283   Food Sales, Multifamily Housing, Office, Other...   \n",
       "921   Food Sales, Office, Restaurant, Retail Store, ...   \n",
       "334                                      Other, Parking   \n",
       "1328                               K-12 School, Parking   \n",
       "1539                                        K-12 School   \n",
       "1553                                        K-12 School   \n",
       "993                         College/University, Parking   \n",
       "\n",
       "              LargestPropertyUseType  LargestPropertyUseTypeGFA  \\\n",
       "1178                           Other                     230970   \n",
       "1633                           Other                     808520   \n",
       "1075                 Adult Education                      57952   \n",
       "1084                           Other                     139557   \n",
       "740                      K-12 School                      96154   \n",
       "186                            Other                     217088   \n",
       "1638              College/University                     149856   \n",
       "644   Manufacturing/Industrial Plant                      22800   \n",
       "295                          Parking                     155000   \n",
       "922              Multifamily Housing                      22669   \n",
       "923                       Restaurant                      17114   \n",
       "283                     Retail Store                      44078   \n",
       "921                     Retail Store                      15614   \n",
       "334                            Other                     535947   \n",
       "1328                     K-12 School                      46100   \n",
       "1539                     K-12 School                     109794   \n",
       "1553                     K-12 School                      30562   \n",
       "993               College/University                    1719643   \n",
       "\n",
       "     SecondLargestPropertyUseType  SecondLargestPropertyUseTypeGFA  \\\n",
       "1178                      Parking                                0   \n",
       "1633                          NaN                                0   \n",
       "1075                          NaN                                0   \n",
       "1084                          NaN                                0   \n",
       "740                           NaN                                0   \n",
       "186                           NaN                                0   \n",
       "1638                          NaN                                0   \n",
       "644                           NaN                                0   \n",
       "295                        Office                           145594   \n",
       "922                  Retail Store                            10455   \n",
       "923                    Food Sales                             6426   \n",
       "283        Other - Restaurant/Bar                            19182   \n",
       "921                    Restaurant                             9240   \n",
       "334                       Parking                           103983   \n",
       "1328                      Parking                                0   \n",
       "1539                          NaN                                0   \n",
       "1553                          NaN                                0   \n",
       "993                       Parking                           318960   \n",
       "\n",
       "     ThirdLargestPropertyUseType  ThirdLargestPropertyUseTypeGFA  \\\n",
       "1178                         NaN                               0   \n",
       "1633                         NaN                               0   \n",
       "1075                         NaN                               0   \n",
       "1084                         NaN                               0   \n",
       "740                          NaN                               0   \n",
       "186                          NaN                               0   \n",
       "1638                         NaN                               0   \n",
       "644                          NaN                               0   \n",
       "295                 Retail Store                          103200   \n",
       "922                   Restaurant                            3668   \n",
       "923                       Office                            1840   \n",
       "283          Multifamily Housing                           14380   \n",
       "921          Social/Meeting Hall                            8199   \n",
       "334                          NaN                               0   \n",
       "1328                         NaN                               0   \n",
       "1539                         NaN                               0   \n",
       "1553                         NaN                               0   \n",
       "993                          NaN                               0   \n",
       "\n",
       "      ENERGYSTARScore  SiteEnergyUse(kBtu)  SteamUse(kBtu)  Electricity(kBtu)  \\\n",
       "1178              NaN             21022288               0           15419770   \n",
       "1633              NaN            157606480               0           76742000   \n",
       "1075              NaN              3091388               0            1474450   \n",
       "1084              NaN              7837692               0            5130303   \n",
       "740              44.0              6689184               0            3307692   \n",
       "186               NaN             24017770               0           13788853   \n",
       "1638              NaN              6335316               0            4967236   \n",
       "644               NaN              2222098               0             358020   \n",
       "295               NaN             20779796         3902781           16877013   \n",
       "922               NaN              3778355               0            3778355   \n",
       "923               NaN              6901554               0            3202277   \n",
       "283               NaN             14940504               0           10344729   \n",
       "921               NaN              5437110               0            4128496   \n",
       "334               NaN            131373880               0           64627449   \n",
       "1328             75.0              2177065          548295            1097533   \n",
       "1539             87.0              3296526               0            1294767   \n",
       "1553             69.0              1622231               0             659450   \n",
       "993               NaN            114648520               0           61672821   \n",
       "\n",
       "      NaturalGas(kBtu)  TotalGHGEmissions  ZipCode  BuildingAge  \n",
       "1178           5602515                405    98134           30  \n",
       "1633          80867644               4830    98119           19  \n",
       "1075           1616937                 96    98108           16  \n",
       "1084           2707389                180    98134           32  \n",
       "740            3381491                203    98115           32  \n",
       "186           10228916                639    98125           26  \n",
       "1638           1368079                107    98108           14  \n",
       "644            1864077                102    98155           27  \n",
       "295                  0                419    98101          108  \n",
       "922                  0                 26    98101           79  \n",
       "923            3699277                219    98101          109  \n",
       "283            4595774                316    98101          113  \n",
       "921            1308614                 98    98101          121  \n",
       "334           66746425               3995    98109           24  \n",
       "1328            531237                 78    98104           98  \n",
       "1539           2001759                115    98112           71  \n",
       "1553            962781                 56    98112           21  \n",
       "993           52975694               3243    98122           82  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['BuildingType'] == 'Campus'].sort_values(by=['NumberofBuildings'], ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f27ad30c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(18, 26)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['BuildingType'] == 'Campus'].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "895fb83d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# data = data[data['BuildingType'] != 'Campus'].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a37db1dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# data = data[~((data['NumberofBuildings'] > 4) & (data['BuildingType'] == 'Campus'))].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "47ded433",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1681, 26)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ce7c449",
   "metadata": {},
   "source": [
    "# 6. Features Engineering\n",
    "\n",
    "Nous allons transformer les données brutes en caractéristiques représentant plus précisément le problème sous-jacent au modèle prédictif."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e58215d3",
   "metadata": {},
   "source": [
    "## 6.1 Création des nouveaux features 1 (check)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c80356b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['SteamUse_check'] = (data['SteamUse(kBtu)'] >= 0) & (data['SteamUse(kBtu)'] == 0)\n",
    "data['Electricity_check'] = (data['Electricity(kBtu)'] >= 0) & (data['Electricity(kBtu)'] == 0)\n",
    "data['NaturalGas_check'] = (data['NaturalGas(kBtu)'] >= 0) & (data['NaturalGas(kBtu)'] == 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "6ef65a53",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['SteamUse_check'].replace({False: 1, True: 0}, inplace=True)\n",
    "data['Electricity_check'].replace({False: 1, True: 0}, inplace=True)\n",
    "data['NaturalGas_check'].replace({False: 1, True: 0}, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35d2dd4f",
   "metadata": {},
   "source": [
    "## 6.2 Création des nouveaux features 2 (à partir de LargestPropertyUseType)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a35813ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Hotel', 'Police Station', 'Other - Entertainment/Public Assembly',\n",
       "       'Library', 'Fitness Center/Health Club/Gym', 'Social/Meeting Hall',\n",
       "       'Courthouse', 'Other', 'K-12 School', 'College/University',\n",
       "       'Automobile Dealership', 'Office', 'Self-Storage Facility',\n",
       "       'Non-Refrigerated Warehouse', 'Other - Mall',\n",
       "       'Senior Care Community', 'Medical Office', 'Retail Store',\n",
       "       'Hospital (General Medical & Surgical)', 'Museum',\n",
       "       'Repair Services (Vehicle, Shoe, Locksmith, etc)',\n",
       "       'Other - Lodging/Residential', 'Residence Hall/Dormitory',\n",
       "       'Other/Specialty Hospital', 'Financial Office',\n",
       "       'Distribution Center', nan, 'Parking', 'Multifamily Housing',\n",
       "       'Worship Facility', 'Restaurant', 'Data Center', 'Laboratory',\n",
       "       'Supermarket/Grocery Store', 'Convention Center',\n",
       "       'Urgent Care/Clinic/Other Outpatient', 'Other - Services',\n",
       "       'Strip Mall', 'Wholesale Club/Supercenter',\n",
       "       'Refrigerated Warehouse', 'Manufacturing/Industrial Plant',\n",
       "       'Other - Recreation', 'Lifestyle Center',\n",
       "       'Other - Public Services', 'Other - Education', 'Fire Station',\n",
       "       'Performing Arts', 'Residential Care Facility', 'Bank Branch',\n",
       "       'Other - Restaurant/Bar', 'Food Service', 'Adult Education',\n",
       "       'Other - Utility', 'Movie Theater',\n",
       "       'Outpatient Rehabilitation/Physical Therapy',\n",
       "       'Personal Services (Health/Beauty, Dry Cleaning, etc)',\n",
       "       'Pre-school/Daycare', 'Prison/Incarceration'], dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['LargestPropertyUseType'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "740d79da",
   "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",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Adult Education</th>\n",
       "      <th>Automobile Dealership</th>\n",
       "      <th>Bank Branch</th>\n",
       "      <th>College/University</th>\n",
       "      <th>Convention Center</th>\n",
       "      <th>Courthouse</th>\n",
       "      <th>Data Center</th>\n",
       "      <th>Distribution Center</th>\n",
       "      <th>Financial Office</th>\n",
       "      <th>Fire Station</th>\n",
       "      <th>Fitness Center/Health Club/Gym</th>\n",
       "      <th>Food Service</th>\n",
       "      <th>Hospital (General Medical &amp; Surgical)</th>\n",
       "      <th>Hotel</th>\n",
       "      <th>K-12 School</th>\n",
       "      <th>Laboratory</th>\n",
       "      <th>Library</th>\n",
       "      <th>Lifestyle Center</th>\n",
       "      <th>Manufacturing/Industrial Plant</th>\n",
       "      <th>Medical Office</th>\n",
       "      <th>Movie Theater</th>\n",
       "      <th>Multifamily Housing</th>\n",
       "      <th>Museum</th>\n",
       "      <th>Non-Refrigerated Warehouse</th>\n",
       "      <th>Office</th>\n",
       "      <th>Other</th>\n",
       "      <th>Other - Education</th>\n",
       "      <th>Other - Entertainment/Public Assembly</th>\n",
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       "      <th>Other - Mall</th>\n",
       "      <th>Other - Public Services</th>\n",
       "      <th>Other - Recreation</th>\n",
       "      <th>Other - Restaurant/Bar</th>\n",
       "      <th>Other - Services</th>\n",
       "      <th>Other - Utility</th>\n",
       "      <th>Other/Specialty Hospital</th>\n",
       "      <th>Outpatient Rehabilitation/Physical Therapy</th>\n",
       "      <th>Parking</th>\n",
       "      <th>Performing Arts</th>\n",
       "      <th>Personal Services (Health/Beauty, Dry Cleaning, etc)</th>\n",
       "      <th>Police Station</th>\n",
       "      <th>Pre-school/Daycare</th>\n",
       "      <th>Prison/Incarceration</th>\n",
       "      <th>Refrigerated Warehouse</th>\n",
       "      <th>Repair Services (Vehicle, Shoe, Locksmith, etc)</th>\n",
       "      <th>Residence Hall/Dormitory</th>\n",
       "      <th>Residential Care Facility</th>\n",
       "      <th>Restaurant</th>\n",
       "      <th>Retail Store</th>\n",
       "      <th>Self-Storage Facility</th>\n",
       "      <th>Senior Care Community</th>\n",
       "      <th>Social/Meeting Hall</th>\n",
       "      <th>Strip Mall</th>\n",
       "      <th>Supermarket/Grocery Store</th>\n",
       "      <th>Urgent Care/Clinic/Other Outpatient</th>\n",
       "      <th>Wholesale Club/Supercenter</th>\n",
       "      <th>Worship Facility</th>\n",
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       "      <td>0</td>\n",
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       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <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>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>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>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>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>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>1681</th>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1682</th>\n",
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       "    <tr>\n",
       "      <th>1683</th>\n",
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       "      <th>1684</th>\n",
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       "      <th>1685</th>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1681 rows × 57 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Adult Education  Automobile Dealership  Bank Branch  College/University  \\\n",
       "0                   0                      0            0                   0   \n",
       "1                   0                      0            0                   0   \n",
       "2                   0                      0            0                   0   \n",
       "3                   0                      0            0                   0   \n",
       "4                   0                      0            0                   0   \n",
       "...               ...                    ...          ...                 ...   \n",
       "1681                0                      0            0                   0   \n",
       "1682                0                      0            0                   0   \n",
       "1683                0                      0            0                   0   \n",
       "1684                0                      0            0                   0   \n",
       "1685                0                      0            0                   0   \n",
       "\n",
       "      Convention Center  Courthouse  Data Center  Distribution Center  \\\n",
       "0                     0           0            0                    0   \n",
       "1                     0           0            0                    0   \n",
       "2                     0           0            0                    0   \n",
       "3                     0           0            0                    0   \n",
       "4                     0           0            0                    0   \n",
       "...                 ...         ...          ...                  ...   \n",
       "1681                  0           0            0                    0   \n",
       "1682                  0           0            0                    0   \n",
       "1683                  0           0            0                    0   \n",
       "1684                  0           0            0                    0   \n",
       "1685                  0           0            0                    0   \n",
       "\n",
       "      Financial Office  Fire Station  Fitness Center/Health Club/Gym  \\\n",
       "0                    0             0                               0   \n",
       "1                    0             0                               0   \n",
       "2                    0             0                               0   \n",
       "3                    0             0                               0   \n",
       "4                    0             0                               0   \n",
       "...                ...           ...                             ...   \n",
       "1681                 0             0                               0   \n",
       "1682                 0             0                               0   \n",
       "1683                 0             0                               0   \n",
       "1684                 0             0                               0   \n",
       "1685                 0             0                               0   \n",
       "\n",
       "      Food Service  Hospital (General Medical & Surgical)  Hotel  K-12 School  \\\n",
       "0                0                                      0      1            0   \n",
       "1                0                                      0      1            0   \n",
       "2                0                                      0      1            0   \n",
       "3                0                                      0      1            0   \n",
       "4                0                                      0      1            0   \n",
       "...            ...                                    ...    ...          ...   \n",
       "1681             0                                      0      0            0   \n",
       "1682             0                                      0      0            0   \n",
       "1683             0                                      0      0            0   \n",
       "1684             0                                      0      0            0   \n",
       "1685             0                                      0      0            0   \n",
       "\n",
       "      Laboratory  Library  Lifestyle Center  Manufacturing/Industrial Plant  \\\n",
       "0              0        0                 0                               0   \n",
       "1              0        0                 0                               0   \n",
       "2              0        0                 0                               0   \n",
       "3              0        0                 0                               0   \n",
       "4              0        0                 0                               0   \n",
       "...          ...      ...               ...                             ...   \n",
       "1681           0        0                 0                               0   \n",
       "1682           0        0                 0                               0   \n",
       "1683           0        0                 0                               0   \n",
       "1684           0        0                 0                               0   \n",
       "1685           0        0                 0                               0   \n",
       "\n",
       "      Medical Office  Movie Theater  Multifamily Housing  Museum  \\\n",
       "0                  0              0                    0       0   \n",
       "1                  0              0                    0       0   \n",
       "2                  0              0                    0       0   \n",
       "3                  0              0                    0       0   \n",
       "4                  0              0                    0       0   \n",
       "...              ...            ...                  ...     ...   \n",
       "1681               0              0                    0       0   \n",
       "1682               0              0                    0       0   \n",
       "1683               0              0                    0       0   \n",
       "1684               0              0                    0       0   \n",
       "1685               0              0                    0       0   \n",
       "\n",
       "      Non-Refrigerated Warehouse  Office  Other  Other - Education  \\\n",
       "0                              0       0      0                  0   \n",
       "1                              0       0      0                  0   \n",
       "2                              0       0      0                  0   \n",
       "3                              0       0      0                  0   \n",
       "4                              0       0      0                  0   \n",
       "...                          ...     ...    ...                ...   \n",
       "1681                           0       0      0                  0   \n",
       "1682                           0       0      0                  0   \n",
       "1683                           0       0      0                  0   \n",
       "1684                           0       0      0                  0   \n",
       "1685                           0       0      0                  0   \n",
       "\n",
       "      Other - Entertainment/Public Assembly  Other - Lodging/Residential  \\\n",
       "0                                         0                            0   \n",
       "1                                         0                            0   \n",
       "2                                         0                            0   \n",
       "3                                         0                            0   \n",
       "4                                         0                            0   \n",
       "...                                     ...                          ...   \n",
       "1681                                      0                            0   \n",
       "1682                                      0                            0   \n",
       "1683                                      0                            0   \n",
       "1684                                      0                            0   \n",
       "1685                                      0                            0   \n",
       "\n",
       "      Other - Mall  Other - Public Services  Other - Recreation  \\\n",
       "0                0                        0                   0   \n",
       "1                0                        0                   0   \n",
       "2                0                        0                   0   \n",
       "3                0                        0                   0   \n",
       "4                0                        0                   0   \n",
       "...            ...                      ...                 ...   \n",
       "1681             0                        0                   1   \n",
       "1682             0                        0                   1   \n",
       "1683             0                        0                   1   \n",
       "1684             0                        0                   1   \n",
       "1685             0                        0                   1   \n",
       "\n",
       "      Other - Restaurant/Bar  Other - Services  Other - Utility  \\\n",
       "0                          0                 0                0   \n",
       "1                          0                 0                0   \n",
       "2                          0                 0                0   \n",
       "3                          0                 0                0   \n",
       "4                          0                 0                0   \n",
       "...                      ...               ...              ...   \n",
       "1681                       0                 0                0   \n",
       "1682                       0                 0                0   \n",
       "1683                       0                 0                0   \n",
       "1684                       0                 0                0   \n",
       "1685                       0                 0                0   \n",
       "\n",
       "      Other/Specialty Hospital  Outpatient Rehabilitation/Physical Therapy  \\\n",
       "0                            0                                           0   \n",
       "1                            0                                           0   \n",
       "2                            0                                           0   \n",
       "3                            0                                           0   \n",
       "4                            0                                           0   \n",
       "...                        ...                                         ...   \n",
       "1681                         0                                           0   \n",
       "1682                         0                                           0   \n",
       "1683                         0                                           0   \n",
       "1684                         0                                           0   \n",
       "1685                         0                                           0   \n",
       "\n",
       "      Parking  Performing Arts  \\\n",
       "0           0                0   \n",
       "1           0                0   \n",
       "2           0                0   \n",
       "3           0                0   \n",
       "4           0                0   \n",
       "...       ...              ...   \n",
       "1681        0                0   \n",
       "1682        0                0   \n",
       "1683        0                0   \n",
       "1684        0                0   \n",
       "1685        0                0   \n",
       "\n",
       "      Personal Services (Health/Beauty, Dry Cleaning, etc)  Police Station  \\\n",
       "0                                                     0                  0   \n",
       "1                                                     0                  0   \n",
       "2                                                     0                  0   \n",
       "3                                                     0                  0   \n",
       "4                                                     0                  0   \n",
       "...                                                 ...                ...   \n",
       "1681                                                  0                  0   \n",
       "1682                                                  0                  0   \n",
       "1683                                                  0                  0   \n",
       "1684                                                  0                  0   \n",
       "1685                                                  0                  0   \n",
       "\n",
       "      Pre-school/Daycare  Prison/Incarceration  Refrigerated Warehouse  \\\n",
       "0                      0                     0                       0   \n",
       "1                      0                     0                       0   \n",
       "2                      0                     0                       0   \n",
       "3                      0                     0                       0   \n",
       "4                      0                     0                       0   \n",
       "...                  ...                   ...                     ...   \n",
       "1681                   0                     0                       0   \n",
       "1682                   0                     0                       0   \n",
       "1683                   0                     0                       0   \n",
       "1684                   0                     0                       0   \n",
       "1685                   0                     0                       0   \n",
       "\n",
       "      Repair Services (Vehicle, Shoe, Locksmith, etc)  \\\n",
       "0                                                   0   \n",
       "1                                                   0   \n",
       "2                                                   0   \n",
       "3                                                   0   \n",
       "4                                                   0   \n",
       "...                                               ...   \n",
       "1681                                                0   \n",
       "1682                                                0   \n",
       "1683                                                0   \n",
       "1684                                                0   \n",
       "1685                                                0   \n",
       "\n",
       "      Residence Hall/Dormitory  Residential Care Facility  Restaurant  \\\n",
       "0                            0                          0           0   \n",
       "1                            0                          0           0   \n",
       "2                            0                          0           0   \n",
       "3                            0                          0           0   \n",
       "4                            0                          0           0   \n",
       "...                        ...                        ...         ...   \n",
       "1681                         0                          0           0   \n",
       "1682                         0                          0           0   \n",
       "1683                         0                          0           0   \n",
       "1684                         0                          0           0   \n",
       "1685                         0                          0           0   \n",
       "\n",
       "      Retail Store  Self-Storage Facility  Senior Care Community  \\\n",
       "0                0                      0                      0   \n",
       "1                0                      0                      0   \n",
       "2                0                      0                      0   \n",
       "3                0                      0                      0   \n",
       "4                0                      0                      0   \n",
       "...            ...                    ...                    ...   \n",
       "1681             0                      0                      0   \n",
       "1682             0                      0                      0   \n",
       "1683             0                      0                      0   \n",
       "1684             0                      0                      0   \n",
       "1685             0                      0                      0   \n",
       "\n",
       "      Social/Meeting Hall  Strip Mall  Supermarket/Grocery Store  \\\n",
       "0                       0           0                          0   \n",
       "1                       0           0                          0   \n",
       "2                       0           0                          0   \n",
       "3                       0           0                          0   \n",
       "4                       0           0                          0   \n",
       "...                   ...         ...                        ...   \n",
       "1681                    0           0                          0   \n",
       "1682                    0           0                          0   \n",
       "1683                    0           0                          0   \n",
       "1684                    0           0                          0   \n",
       "1685                    0           0                          0   \n",
       "\n",
       "      Urgent Care/Clinic/Other Outpatient  Wholesale Club/Supercenter  \\\n",
       "0                                       0                           0   \n",
       "1                                       0                           0   \n",
       "2                                       0                           0   \n",
       "3                                       0                           0   \n",
       "4                                       0                           0   \n",
       "...                                   ...                         ...   \n",
       "1681                                    0                           0   \n",
       "1682                                    0                           0   \n",
       "1683                                    0                           0   \n",
       "1684                                    0                           0   \n",
       "1685                                    0                           0   \n",
       "\n",
       "      Worship Facility  \n",
       "0                    0  \n",
       "1                    0  \n",
       "2                    0  \n",
       "3                    0  \n",
       "4                    0  \n",
       "...                ...  \n",
       "1681                 0  \n",
       "1682                 0  \n",
       "1683                 0  \n",
       "1684                 0  \n",
       "1685                 0  \n",
       "\n",
       "[1681 rows x 57 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lp = pd.get_dummies(data['LargestPropertyUseType'])\n",
    "\n",
    "lp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b530b128",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-19-54efe925cf6c>:4: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will*not* be treated as literal strings when regex=True.\n",
      "  lp.columns = lp.columns.str.replace(\"(\", \"\")\n",
      "<ipython-input-19-54efe925cf6c>:5: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will*not* be treated as literal strings when regex=True.\n",
      "  lp.columns = lp.columns.str.replace(\")\", \"\")\n"
     ]
    }
   ],
   "source": [
    "lp.columns = lp.columns.str.replace(\" \", \"\")\n",
    "lp.columns = lp.columns.str.replace(\"/\", \"\")\n",
    "lp.columns = lp.columns.str.replace(\"-\", \"\")\n",
    "lp.columns = lp.columns.str.replace(\"(\", \"\")\n",
    "lp.columns = lp.columns.str.replace(\")\", \"\")\n",
    "lp.columns = lp.columns.str.replace(\",\", \"\")\n",
    "lp.columns = lp.columns.str.replace(\"&\", \"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "58110875",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['AdultEducation', 'AutomobileDealership', 'BankBranch',\n",
       "       'CollegeUniversity', 'ConventionCenter', 'Courthouse', 'DataCenter',\n",
       "       'DistributionCenter', 'FinancialOffice', 'FireStation',\n",
       "       'FitnessCenterHealthClubGym', 'FoodService',\n",
       "       'HospitalGeneralMedicalSurgical', 'Hotel', 'K12School', 'Laboratory',\n",
       "       'Library', 'LifestyleCenter', 'ManufacturingIndustrialPlant',\n",
       "       'MedicalOffice', 'MovieTheater', 'MultifamilyHousing', 'Museum',\n",
       "       'NonRefrigeratedWarehouse', 'Office', 'Other', 'OtherEducation',\n",
       "       'OtherEntertainmentPublicAssembly', 'OtherLodgingResidential',\n",
       "       'OtherMall', 'OtherPublicServices', 'OtherRecreation',\n",
       "       'OtherRestaurantBar', 'OtherServices', 'OtherUtility',\n",
       "       'OtherSpecialtyHospital', 'OutpatientRehabilitationPhysicalTherapy',\n",
       "       'Parking', 'PerformingArts',\n",
       "       'PersonalServicesHealthBeautyDryCleaningetc', 'PoliceStation',\n",
       "       'PreschoolDaycare', 'PrisonIncarceration', 'RefrigeratedWarehouse',\n",
       "       'RepairServicesVehicleShoeLocksmithetc', 'ResidenceHallDormitory',\n",
       "       'ResidentialCareFacility', 'Restaurant', 'RetailStore',\n",
       "       'SelfStorageFacility', 'SeniorCareCommunity', 'SocialMeetingHall',\n",
       "       'StripMall', 'SupermarketGroceryStore',\n",
       "       'UrgentCareClinicOtherOutpatient', 'WholesaleClubSupercenter',\n",
       "       'WorshipFacility'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lp.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a8e0d841",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.concat([data, lp], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "a0694da8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        }</style><table id=\"T_c1ac7_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >LargestPropertyUseType</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row0\" class=\"row_heading level0 row0\" >Office</th>\n",
       "                        <td id=\"T_c1ac7_row0_col0\" class=\"data row0 col0\" >500</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row1\" class=\"row_heading level0 row1\" >Non-Refrigerated Warehouse</th>\n",
       "                        <td id=\"T_c1ac7_row1_col0\" class=\"data row1 col0\" >200</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row2\" class=\"row_heading level0 row2\" >K-12 School</th>\n",
       "                        <td id=\"T_c1ac7_row2_col0\" class=\"data row2 col0\" >131</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row3\" class=\"row_heading level0 row3\" >Retail Store</th>\n",
       "                        <td id=\"T_c1ac7_row3_col0\" class=\"data row3 col0\" >100</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row4\" class=\"row_heading level0 row4\" >Other</th>\n",
       "                        <td id=\"T_c1ac7_row4_col0\" class=\"data row4 col0\" >100</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row5\" class=\"row_heading level0 row5\" >Hotel</th>\n",
       "                        <td id=\"T_c1ac7_row5_col0\" class=\"data row5 col0\" >76</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row6\" class=\"row_heading level0 row6\" >Worship Facility</th>\n",
       "                        <td id=\"T_c1ac7_row6_col0\" class=\"data row6 col0\" >71</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row7\" class=\"row_heading level0 row7\" >Distribution Center</th>\n",
       "                        <td id=\"T_c1ac7_row7_col0\" class=\"data row7 col0\" >54</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row8\" class=\"row_heading level0 row8\" >Medical Office</th>\n",
       "                        <td id=\"T_c1ac7_row8_col0\" class=\"data row8 col0\" >44</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row9\" class=\"row_heading level0 row9\" >Supermarket/Grocery Store</th>\n",
       "                        <td id=\"T_c1ac7_row9_col0\" class=\"data row9 col0\" >41</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row10\" class=\"row_heading level0 row10\" >Other - Recreation</th>\n",
       "                        <td id=\"T_c1ac7_row10_col0\" class=\"data row10 col0\" >31</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row11\" class=\"row_heading level0 row11\" >Parking</th>\n",
       "                        <td id=\"T_c1ac7_row11_col0\" class=\"data row11 col0\" >30</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row12\" class=\"row_heading level0 row12\" >Self-Storage Facility</th>\n",
       "                        <td id=\"T_c1ac7_row12_col0\" class=\"data row12 col0\" >27</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row13\" class=\"row_heading level0 row13\" >Residence Hall/Dormitory</th>\n",
       "                        <td id=\"T_c1ac7_row13_col0\" class=\"data row13 col0\" >22</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row14\" class=\"row_heading level0 row14\" >Other - Entertainment/Public Assembly</th>\n",
       "                        <td id=\"T_c1ac7_row14_col0\" class=\"data row14 col0\" >21</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row15\" class=\"row_heading level0 row15\" >Senior Care Community</th>\n",
       "                        <td id=\"T_c1ac7_row15_col0\" class=\"data row15 col0\" >20</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row16\" class=\"row_heading level0 row16\" >College/University</th>\n",
       "                        <td id=\"T_c1ac7_row16_col0\" class=\"data row16 col0\" >20</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row17\" class=\"row_heading level0 row17\" >Laboratory</th>\n",
       "                        <td id=\"T_c1ac7_row17_col0\" class=\"data row17 col0\" >13</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row18\" class=\"row_heading level0 row18\" >Restaurant</th>\n",
       "                        <td id=\"T_c1ac7_row18_col0\" class=\"data row18 col0\" >13</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row19\" class=\"row_heading level0 row19\" >Multifamily Housing</th>\n",
       "                        <td id=\"T_c1ac7_row19_col0\" class=\"data row19 col0\" >12</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row20\" class=\"row_heading level0 row20\" >Refrigerated Warehouse</th>\n",
       "                        <td id=\"T_c1ac7_row20_col0\" class=\"data row20 col0\" >12</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row21\" class=\"row_heading level0 row21\" >Hospital (General Medical & Surgical)</th>\n",
       "                        <td id=\"T_c1ac7_row21_col0\" class=\"data row21 col0\" >10</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row22\" class=\"row_heading level0 row22\" >Social/Meeting Hall</th>\n",
       "                        <td id=\"T_c1ac7_row22_col0\" class=\"data row22 col0\" >10</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row23\" class=\"row_heading level0 row23\" >Manufacturing/Industrial Plant</th>\n",
       "                        <td id=\"T_c1ac7_row23_col0\" class=\"data row23 col0\" >8</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row24\" class=\"row_heading level0 row24\" >Automobile Dealership</th>\n",
       "                        <td id=\"T_c1ac7_row24_col0\" class=\"data row24 col0\" >6</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row25\" class=\"row_heading level0 row25\" >Strip Mall</th>\n",
       "                        <td id=\"T_c1ac7_row25_col0\" class=\"data row25 col0\" >6</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row26\" class=\"row_heading level0 row26\" >Repair Services (Vehicle, Shoe, Locksmith, etc)</th>\n",
       "                        <td id=\"T_c1ac7_row26_col0\" class=\"data row26 col0\" >6</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row27\" class=\"row_heading level0 row27\" >Other - Services</th>\n",
       "                        <td id=\"T_c1ac7_row27_col0\" class=\"data row27 col0\" >5</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row28\" class=\"row_heading level0 row28\" >Museum</th>\n",
       "                        <td id=\"T_c1ac7_row28_col0\" class=\"data row28 col0\" >5</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row29\" class=\"row_heading level0 row29\" >Other - Lodging/Residential</th>\n",
       "                        <td id=\"T_c1ac7_row29_col0\" class=\"data row29 col0\" >5</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row30\" class=\"row_heading level0 row30\" >Fitness Center/Health Club/Gym</th>\n",
       "                        <td id=\"T_c1ac7_row30_col0\" class=\"data row30 col0\" >5</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row31\" class=\"row_heading level0 row31\" >Library</th>\n",
       "                        <td id=\"T_c1ac7_row31_col0\" class=\"data row31 col0\" >4</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row32\" class=\"row_heading level0 row32\" >Other - Education</th>\n",
       "                        <td id=\"T_c1ac7_row32_col0\" class=\"data row32 col0\" >4</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row33\" class=\"row_heading level0 row33\" >Other - Mall</th>\n",
       "                        <td id=\"T_c1ac7_row33_col0\" class=\"data row33 col0\" >4</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row34\" class=\"row_heading level0 row34\" >Other/Specialty Hospital</th>\n",
       "                        <td id=\"T_c1ac7_row34_col0\" class=\"data row34 col0\" >4</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row35\" class=\"row_heading level0 row35\" >Financial Office</th>\n",
       "                        <td id=\"T_c1ac7_row35_col0\" class=\"data row35 col0\" >4</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row36\" class=\"row_heading level0 row36\" >Bank Branch</th>\n",
       "                        <td id=\"T_c1ac7_row36_col0\" class=\"data row36 col0\" >4</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row37\" class=\"row_heading level0 row37\" >Urgent Care/Clinic/Other Outpatient</th>\n",
       "                        <td id=\"T_c1ac7_row37_col0\" class=\"data row37 col0\" >4</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row38\" class=\"row_heading level0 row38\" >Performing Arts</th>\n",
       "                        <td id=\"T_c1ac7_row38_col0\" class=\"data row38 col0\" >4</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row39\" class=\"row_heading level0 row39\" >Data Center</th>\n",
       "                        <td id=\"T_c1ac7_row39_col0\" class=\"data row39 col0\" >3</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row40\" class=\"row_heading level0 row40\" >Prison/Incarceration</th>\n",
       "                        <td id=\"T_c1ac7_row40_col0\" class=\"data row40 col0\" >3</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row41\" class=\"row_heading level0 row41\" >Other - Public Services</th>\n",
       "                        <td id=\"T_c1ac7_row41_col0\" class=\"data row41 col0\" >2</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row42\" class=\"row_heading level0 row42\" >Other - Utility</th>\n",
       "                        <td id=\"T_c1ac7_row42_col0\" class=\"data row42 col0\" >2</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row43\" class=\"row_heading level0 row43\" >Other - Restaurant/Bar</th>\n",
       "                        <td id=\"T_c1ac7_row43_col0\" class=\"data row43 col0\" >2</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row44\" class=\"row_heading level0 row44\" >Lifestyle Center</th>\n",
       "                        <td id=\"T_c1ac7_row44_col0\" class=\"data row44 col0\" >2</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row45\" class=\"row_heading level0 row45\" >Pre-school/Daycare</th>\n",
       "                        <td id=\"T_c1ac7_row45_col0\" class=\"data row45 col0\" >2</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row46\" class=\"row_heading level0 row46\" >Adult Education</th>\n",
       "                        <td id=\"T_c1ac7_row46_col0\" class=\"data row46 col0\" >2</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row47\" class=\"row_heading level0 row47\" >Police Station</th>\n",
       "                        <td id=\"T_c1ac7_row47_col0\" class=\"data row47 col0\" >1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row48\" class=\"row_heading level0 row48\" >Fire Station</th>\n",
       "                        <td id=\"T_c1ac7_row48_col0\" class=\"data row48 col0\" >1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row49\" class=\"row_heading level0 row49\" >Personal Services (Health/Beauty, Dry Cleaning, etc)</th>\n",
       "                        <td id=\"T_c1ac7_row49_col0\" class=\"data row49 col0\" >1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row50\" class=\"row_heading level0 row50\" >Convention Center</th>\n",
       "                        <td id=\"T_c1ac7_row50_col0\" class=\"data row50 col0\" >1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row51\" class=\"row_heading level0 row51\" >Food Service</th>\n",
       "                        <td id=\"T_c1ac7_row51_col0\" class=\"data row51 col0\" >1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row52\" class=\"row_heading level0 row52\" >Residential Care Facility</th>\n",
       "                        <td id=\"T_c1ac7_row52_col0\" class=\"data row52 col0\" >1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row53\" class=\"row_heading level0 row53\" >Outpatient Rehabilitation/Physical Therapy</th>\n",
       "                        <td id=\"T_c1ac7_row53_col0\" class=\"data row53 col0\" >1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row54\" class=\"row_heading level0 row54\" >Wholesale Club/Supercenter</th>\n",
       "                        <td id=\"T_c1ac7_row54_col0\" class=\"data row54 col0\" >1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row55\" class=\"row_heading level0 row55\" >Courthouse</th>\n",
       "                        <td id=\"T_c1ac7_row55_col0\" class=\"data row55 col0\" >1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c1ac7_level0_row56\" class=\"row_heading level0 row56\" >Movie Theater</th>\n",
       "                        <td id=\"T_c1ac7_row56_col0\" class=\"data row56 col0\" >1</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fea47093ee0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LargestPropertyUseType = data['LargestPropertyUseType'].value_counts().head(57).to_frame()\n",
    "LargestPropertyUseType.style.background_gradient(cmap='Reds')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "8f5429e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'NumberofBuildings+PropertyGFATotal+PropertyGFABuilding+PropertyGFAParking+ZipCode+SteamUse_check+Electricity_check+NaturalGas_check+AdultEducation+AutomobileDealership+BankBranch+CollegeUniversity+ConventionCenter+Courthouse+DataCenter+DistributionCenter+FinancialOffice+FireStation+FitnessCenterHealthClubGym+FoodService+HospitalGeneralMedicalSurgical+Hotel+K12School+Laboratory+Library+LifestyleCenter+ManufacturingIndustrialPlant+MedicalOffice+MovieTheater+MultifamilyHousing+Museum+NonRefrigeratedWarehouse+Office+Other+OtherEducation+OtherEntertainmentPublicAssembly+OtherLodgingResidential+OtherMall+OtherPublicServices+OtherRecreation+OtherRestaurantBar+OtherServices+OtherUtility+OtherSpecialtyHospital+OutpatientRehabilitationPhysicalTherapy+Parking+PerformingArts+PersonalServicesHealthBeautyDryCleaningetc+PoliceStation+PreschoolDaycare+PrisonIncarceration+RefrigeratedWarehouse+RepairServicesVehicleShoeLocksmithetc+ResidenceHallDormitory+ResidentialCareFacility+Restaurant+RetailStore+SelfStorageFacility+SeniorCareCommunity+SocialMeetingHall+StripMall+SupermarketGroceryStore+UrgentCareClinicOtherOutpatient+WholesaleClubSupercenter+WorshipFacility'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list1 = [\n",
    "    #'BuildingAge',\n",
    "    'NumberofBuildings',\n",
    "    #'NumberofFloors',\n",
    "    'PropertyGFATotal',\n",
    "    'PropertyGFABuilding',\n",
    "    'PropertyGFAParking',\n",
    "    'ZipCode',\n",
    "    # ----\n",
    "    'SteamUse_check',\n",
    "    'Electricity_check',\n",
    "    'NaturalGas_check',\n",
    "    # ----\n",
    "    'AdultEducation', 'AutomobileDealership', 'BankBranch',\n",
    "       'CollegeUniversity', 'ConventionCenter', 'Courthouse', 'DataCenter',\n",
    "       'DistributionCenter', 'FinancialOffice', 'FireStation',\n",
    "       'FitnessCenterHealthClubGym', 'FoodService',\n",
    "       'HospitalGeneralMedicalSurgical', 'Hotel', 'K12School', 'Laboratory',\n",
    "       'Library', 'LifestyleCenter', 'ManufacturingIndustrialPlant',\n",
    "       'MedicalOffice', 'MovieTheater', 'MultifamilyHousing', 'Museum',\n",
    "       'NonRefrigeratedWarehouse', 'Office', 'Other', 'OtherEducation',\n",
    "       'OtherEntertainmentPublicAssembly', 'OtherLodgingResidential',\n",
    "       'OtherMall', 'OtherPublicServices', 'OtherRecreation',\n",
    "       'OtherRestaurantBar', 'OtherServices', 'OtherUtility',\n",
    "       'OtherSpecialtyHospital', 'OutpatientRehabilitationPhysicalTherapy',\n",
    "       'Parking', 'PerformingArts',\n",
    "       'PersonalServicesHealthBeautyDryCleaningetc', 'PoliceStation',\n",
    "       'PreschoolDaycare', 'PrisonIncarceration', 'RefrigeratedWarehouse',\n",
    "       'RepairServicesVehicleShoeLocksmithetc', 'ResidenceHallDormitory',\n",
    "       'ResidentialCareFacility', 'Restaurant', 'RetailStore',\n",
    "       'SelfStorageFacility', 'SeniorCareCommunity', 'SocialMeetingHall',\n",
    "       'StripMall', 'SupermarketGroceryStore',\n",
    "       'UrgentCareClinicOtherOutpatient', 'WholesaleClubSupercenter',\n",
    "       'WorshipFacility'\n",
    "]\n",
    "\n",
    "new1 = \"+\".join(list1)\n",
    "new1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "8973714a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:          SiteEnergyUse   R-squared:                       0.727\n",
      "Model:                            OLS   Adj. R-squared:                  0.716\n",
      "Method:                 Least Squares   F-statistic:                     67.17\n",
      "Date:                Wed, 06 Oct 2021   Prob (F-statistic):               0.00\n",
      "Time:                        12:58:02   Log-Likelihood:                -29455.\n",
      "No. Observations:                1681   AIC:                         5.904e+04\n",
      "Df Residuals:                    1616   BIC:                         5.939e+04\n",
      "Df Model:                          64                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================================================\n",
      "                                                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------------------------------------\n",
      "Intercept                                   1.987e+09   1.38e+09      1.440      0.150    -7.2e+08    4.69e+09\n",
      "NumberofBuildings                           4.204e+06    4.4e+05      9.560      0.000    3.34e+06    5.07e+06\n",
      "PropertyGFATotal                              31.9375      5.569      5.735      0.000      21.015      42.860\n",
      "PropertyGFABuilding                           26.9591      5.924      4.551      0.000      15.341      38.578\n",
      "PropertyGFAParking                           -17.7302      7.242     -2.448      0.014     -31.935      -3.525\n",
      "ZipCode                                    -2.028e+04   1.41e+04     -1.442      0.150   -4.79e+04    7311.410\n",
      "SteamUse_check                              3.813e+06   1.05e+06      3.637      0.000    1.76e+06    5.87e+06\n",
      "Electricity_check                          -3.982e+06    7.3e+06     -0.546      0.585   -1.83e+07    1.03e+07\n",
      "NaturalGas_check                            1.715e+06   5.87e+05      2.922      0.004    5.64e+05    2.87e+06\n",
      "AdultEducation                             -7.772e+06   7.56e+06     -1.028      0.304   -2.26e+07    7.06e+06\n",
      "AutomobileDealership                        9.853e+05   4.77e+06      0.206      0.836   -8.38e+06    1.03e+07\n",
      "BankBranch                                  2.107e+06    5.6e+06      0.376      0.707   -8.88e+06    1.31e+07\n",
      "CollegeUniversity                           2.587e+06   3.33e+06      0.776      0.438   -3.95e+06    9.13e+06\n",
      "ConventionCenter                           -8.625e+06   1.06e+07     -0.813      0.417   -2.94e+07    1.22e+07\n",
      "Courthouse                                   1.37e+07   1.04e+07      1.320      0.187   -6.66e+06    3.41e+07\n",
      "DataCenter                                  1.075e+08   6.31e+06     17.037      0.000    9.52e+07     1.2e+08\n",
      "DistributionCenter                         -3.455e+05    2.8e+06     -0.123      0.902   -5.83e+06    5.14e+06\n",
      "FinancialOffice                             1.725e+06    5.6e+06      0.308      0.758   -9.25e+06    1.27e+07\n",
      "FireStation                                 1.758e+06   1.03e+07      0.170      0.865   -1.85e+07     2.2e+07\n",
      "FitnessCenterHealthClubGym                  2.175e+06   5.12e+06      0.425      0.671   -7.87e+06    1.22e+07\n",
      "FoodService                                 5.755e+06   1.04e+07      0.555      0.579   -1.46e+07    2.61e+07\n",
      "HospitalGeneralMedicalSurgical              9.174e+07   4.32e+06     21.261      0.000    8.33e+07       1e+08\n",
      "Hotel                                       3.367e+06   2.71e+06      1.240      0.215   -1.96e+06    8.69e+06\n",
      "K12School                                  -7.939e+05   2.59e+06     -0.306      0.760   -5.88e+06    4.29e+06\n",
      "Laboratory                                  2.104e+07   3.72e+06      5.664      0.000    1.38e+07    2.83e+07\n",
      "Library                                    -2.989e+05   5.59e+06     -0.053      0.957   -1.13e+07    1.07e+07\n",
      "LifestyleCenter                             9.887e+06   7.57e+06      1.306      0.192   -4.96e+06    2.47e+07\n",
      "ManufacturingIndustrialPlant                1.128e+06   4.32e+06      0.261      0.794   -7.34e+06     9.6e+06\n",
      "MedicalOffice                               5.979e+06   2.89e+06      2.069      0.039     3.1e+05    1.16e+07\n",
      "MovieTheater                                3.258e+06   1.03e+07      0.315      0.753    -1.7e+07    2.36e+07\n",
      "MultifamilyHousing                         -3.164e+06   3.79e+06     -0.834      0.404   -1.06e+07    4.28e+06\n",
      "Museum                                       3.48e+06   5.12e+06      0.679      0.497   -6.57e+06    1.35e+07\n",
      "NonRefrigeratedWarehouse                   -2.134e+05   2.54e+06     -0.084      0.933    -5.2e+06    4.77e+06\n",
      "Office                                      8.123e+05   2.49e+06      0.327      0.744   -4.07e+06    5.69e+06\n",
      "Other                                       5.025e+06   2.64e+06      1.901      0.057    -1.6e+05    1.02e+07\n",
      "OtherEducation                              1.266e+06    5.6e+06      0.226      0.821   -9.71e+06    1.22e+07\n",
      "OtherEntertainmentPublicAssembly            2.331e+06   3.29e+06      0.708      0.479   -4.12e+06    8.78e+06\n",
      "OtherLodgingResidential                     2.582e+05   5.12e+06      0.050      0.960   -9.78e+06    1.03e+07\n",
      "OtherMall                                   8.568e+05    5.6e+06      0.153      0.878   -1.01e+07    1.18e+07\n",
      "OtherPublicServices                        -1.523e+06   7.53e+06     -0.202      0.840   -1.63e+07    1.32e+07\n",
      "OtherRecreation                             3.041e+06   3.04e+06      1.002      0.317   -2.91e+06       9e+06\n",
      "OtherRestaurantBar                          2.784e+06   7.54e+06      0.369      0.712    -1.2e+07    1.76e+07\n",
      "OtherServices                               2.263e+06   5.12e+06      0.442      0.658   -7.77e+06    1.23e+07\n",
      "OtherUtility                               -2.374e+06   7.52e+06     -0.316      0.752   -1.71e+07    1.24e+07\n",
      "OtherSpecialtyHospital                      5.205e+06   5.59e+06      0.932      0.352   -5.75e+06    1.62e+07\n",
      "OutpatientRehabilitationPhysicalTherapy     4.999e+04   1.04e+07      0.005      0.996   -2.03e+07    2.04e+07\n",
      "Parking                                     8.324e+06    3.1e+06      2.683      0.007    2.24e+06    1.44e+07\n",
      "PerformingArts                              1.782e+06   5.59e+06      0.319      0.750   -9.17e+06    1.27e+07\n",
      "PersonalServicesHealthBeautyDryCleaningetc  1.912e+06   1.03e+07      0.185      0.853   -1.84e+07    2.22e+07\n",
      "PoliceStation                               8.498e+06   1.03e+07      0.821      0.412   -1.18e+07    2.88e+07\n",
      "PreschoolDaycare                            3.729e+05   7.52e+06      0.050      0.960   -1.44e+07    1.51e+07\n",
      "PrisonIncarceration                         5.328e+05    6.3e+06      0.085      0.933   -1.18e+07    1.29e+07\n",
      "RefrigeratedWarehouse                       3.586e+06   3.79e+06      0.945      0.345   -3.85e+06     1.1e+07\n",
      "RepairServicesVehicleShoeLocksmithetc       1.327e+06   4.78e+06      0.278      0.781   -8.04e+06    1.07e+07\n",
      "ResidenceHallDormitory                      1.372e+06   3.25e+06      0.422      0.673   -5.01e+06    7.76e+06\n",
      "ResidentialCareFacility                     3.619e+06   1.04e+07      0.350      0.727   -1.67e+07    2.39e+07\n",
      "Restaurant                                  5.334e+06   3.75e+06      1.422      0.155   -2.02e+06    1.27e+07\n",
      "RetailStore                                 1.304e+06   2.64e+06      0.494      0.621   -3.87e+06    6.48e+06\n",
      "SelfStorageFacility                        -1.056e+06   3.11e+06     -0.339      0.734   -7.16e+06    5.05e+06\n",
      "SeniorCareCommunity                         5.372e+06   3.32e+06      1.618      0.106   -1.14e+06    1.19e+07\n",
      "SocialMeetingHall                           9.025e+05   4.02e+06      0.225      0.822   -6.98e+06    8.79e+06\n",
      "StripMall                                   1.595e+04   4.79e+06      0.003      0.997   -9.38e+06    9.42e+06\n",
      "SupermarketGroceryStore                     7.831e+06   2.91e+06      2.693      0.007    2.13e+06    1.35e+07\n",
      "UrgentCareClinicOtherOutpatient             1.547e+07   5.64e+06      2.745      0.006    4.42e+06    2.65e+07\n",
      "WholesaleClubSupercenter                    1.023e+07   1.04e+07      0.988      0.324   -1.01e+07    3.05e+07\n",
      "WorshipFacility                             2.735e+05   2.72e+06      0.101      0.920   -5.06e+06     5.6e+06\n",
      "==============================================================================\n",
      "Omnibus:                     1479.352   Durbin-Watson:                   1.948\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):           249035.023\n",
      "Skew:                           3.435   Prob(JB):                         0.00\n",
      "Kurtosis:                      62.231   Cond. No.                     2.25e+15\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The smallest eigenvalue is 3.03e-17. This might indicate that there are\n",
      "strong multicollinearity problems or that the design matrix is singular.\n"
     ]
    }
   ],
   "source": [
    "anova_variete_check = smf.ols('SiteEnergyUse~'+new1, data=data.rename(columns={'SiteEnergyUse(kBtu)': 'SiteEnergyUse', 'PropertyGFABuilding(s)':'PropertyGFABuilding'})).fit()\n",
    "print(anova_variete_check.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "669d9b0c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'NumberofBuildings+PropertyGFATotal+PropertyGFABuilding+PropertyGFAParking+ZipCode+SteamUse_check+Electricity_check+NaturalGas_check+DataCenter+HospitalGeneralMedicalSurgical+Laboratory+MedicalOffice+Other+Parking+SupermarketGroceryStore+UrgentCareClinicOtherOutpatient+Office+NonRefrigeratedWarehouse+K12School+Hotel+RetailStore+DistributionCenter+OtherEducation+Courthouse'"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list2 = [\n",
    "    #'BuildingAge',\n",
    "    'NumberofBuildings',\n",
    "    #'NumberofFloors',\n",
    "    'PropertyGFATotal',\n",
    "    'PropertyGFABuilding',\n",
    "    'PropertyGFAParking',\n",
    "    'ZipCode',\n",
    "    # ----\n",
    "    'SteamUse_check',\n",
    "    'Electricity_check',\n",
    "    'NaturalGas_check',\n",
    "    # ----\n",
    "    'DataCenter',\n",
    "    'HospitalGeneralMedicalSurgical',\n",
    "    'Laboratory',\n",
    "    'MedicalOffice',\n",
    "    'Other',\n",
    "    'Parking',\n",
    "    'SupermarketGroceryStore',\n",
    "    'UrgentCareClinicOtherOutpatient',\n",
    "    # ----\n",
    "    'Office',\n",
    "    'NonRefrigeratedWarehouse',\n",
    "    'K12School',\n",
    "    'Hotel',\n",
    "    #'WorshipFacility',\n",
    "    'RetailStore',\n",
    "    'DistributionCenter',\n",
    "    'OtherEducation',\n",
    "    'Courthouse'\n",
    "    \n",
    "]\n",
    "\n",
    "new2 = \"+\".join(list2)\n",
    "new2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d7646d3c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:          SiteEnergyUse   R-squared:                       0.724\n",
      "Model:                            OLS   Adj. R-squared:                  0.720\n",
      "Method:                 Least Squares   F-statistic:                     188.5\n",
      "Date:                Wed, 06 Oct 2021   Prob (F-statistic):               0.00\n",
      "Time:                        12:58:02   Log-Likelihood:                -29465.\n",
      "No. Observations:                1681   AIC:                         5.898e+04\n",
      "Df Residuals:                    1657   BIC:                         5.911e+04\n",
      "Df Model:                          23                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "===================================================================================================\n",
      "                                      coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------------------------\n",
      "Intercept                        1.992e+09   1.35e+09      1.480      0.139   -6.47e+08    4.63e+09\n",
      "NumberofBuildings                4.076e+06   4.27e+05      9.537      0.000    3.24e+06    4.91e+06\n",
      "PropertyGFATotal                   65.3921     27.448      2.382      0.017      11.557     119.228\n",
      "PropertyGFABuilding                -6.7426     27.484     -0.245      0.806     -60.650      47.165\n",
      "PropertyGFAParking                -49.8529     28.086     -1.775      0.076    -104.940       5.235\n",
      "ZipCode                          -2.03e+04   1.37e+04     -1.480      0.139   -4.72e+04    6607.034\n",
      "SteamUse_check                   3.782e+06   1.03e+06      3.675      0.000    1.76e+06     5.8e+06\n",
      "Electricity_check               -5.964e+06   7.11e+06     -0.839      0.402   -1.99e+07    7.99e+06\n",
      "NaturalGas_check                 1.792e+06   5.71e+05      3.139      0.002    6.72e+05    2.91e+06\n",
      "DataCenter                       1.061e+08   5.81e+06     18.273      0.000    9.47e+07    1.17e+08\n",
      "HospitalGeneralMedicalSurgical   9.081e+07   3.55e+06     25.548      0.000    8.38e+07    9.78e+07\n",
      "Laboratory                        1.95e+07   2.83e+06      6.890      0.000    1.39e+07    2.51e+07\n",
      "MedicalOffice                     4.47e+06   1.62e+06      2.754      0.006    1.29e+06    7.65e+06\n",
      "Other                            3.589e+06   1.14e+06      3.160      0.002    1.36e+06    5.82e+06\n",
      "Parking                          6.748e+06   1.97e+06      3.424      0.001    2.88e+06    1.06e+07\n",
      "SupermarketGroceryStore           6.28e+06   1.65e+06      3.799      0.000    3.04e+06    9.52e+06\n",
      "UrgentCareClinicOtherOutpatient  1.414e+07   5.07e+06      2.787      0.005    4.19e+06    2.41e+07\n",
      "Office                          -6.611e+05   7.18e+05     -0.920      0.358   -2.07e+06    7.48e+05\n",
      "NonRefrigeratedWarehouse        -1.685e+06   8.81e+05     -1.912      0.056   -3.41e+06    4.37e+04\n",
      "K12School                       -2.269e+06   1.02e+06     -2.229      0.026   -4.26e+06   -2.73e+05\n",
      "Hotel                             1.87e+06   1.28e+06      1.459      0.145   -6.44e+05    4.38e+06\n",
      "RetailStore                     -1.783e+05   1.13e+06     -0.158      0.874   -2.39e+06    2.03e+06\n",
      "DistributionCenter              -1.819e+06   1.46e+06     -1.248      0.212   -4.68e+06    1.04e+06\n",
      "OtherEducation                  -2.296e+05   5.03e+06     -0.046      0.964   -1.01e+07    9.63e+06\n",
      "Courthouse                       1.232e+07      1e+07      1.228      0.220   -7.36e+06     3.2e+07\n",
      "==============================================================================\n",
      "Omnibus:                     1471.728   Durbin-Watson:                   1.937\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):           241408.088\n",
      "Skew:                           3.412   Prob(JB):                         0.00\n",
      "Kurtosis:                      61.310   Cond. No.                     1.46e+16\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The smallest eigenvalue is 7.22e-19. This might indicate that there are\n",
      "strong multicollinearity problems or that the design matrix is singular.\n"
     ]
    }
   ],
   "source": [
    "anova_variete_check = smf.ols('SiteEnergyUse~'+new2, data=data.rename(columns={'SiteEnergyUse(kBtu)': 'SiteEnergyUse', 'PropertyGFABuilding(s)':'PropertyGFABuilding'})).fit()\n",
    "print(anova_variete_check.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "3476d14b",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop(lp.columns.difference([\n",
    "    'HospitalGeneralMedicalSurgical',\n",
    "    'MedicalOffice',\n",
    "    'Other',\n",
    "    'SupermarketGroceryStore',\n",
    "    'Office',\n",
    "    'NonRefrigeratedWarehouse',\n",
    "    'Hotel',\n",
    "    'RetailStore',\n",
    "    'DistributionCenter',\n",
    "    'OtherEducation'\n",
    "]),\n",
    "        1,\n",
    "        inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "0aaa6230",
   "metadata": {},
   "outputs": [],
   "source": [
    "# removed\n",
    "\n",
    "#nbd = pd.get_dummies(data['Neighborhood'])\n",
    "#nbd\n",
    "\n",
    "#nbd.drop(nbd.columns.difference(['East']), 1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "1b78501b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#nbd.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "0cef9a91",
   "metadata": {},
   "outputs": [],
   "source": [
    "#data = pd.concat([data, nbd], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd819568",
   "metadata": {},
   "source": [
    "## 6.3 Création des nouveaux features 2 (à partir de GFA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b02efa56",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['LP_Ratio'] = round(100 * data['LargestPropertyUseTypeGFA']/data['PropertyGFATotal'])\n",
    "data['LP_Ratio'] = data['LP_Ratio'].astype('int64')\n",
    "\n",
    "data['SLP_Ratio'] = round(100 * data['SecondLargestPropertyUseTypeGFA']/data['PropertyGFATotal'])\n",
    "data['SLP_Ratio'] = data['SLP_Ratio'].astype('int64')\n",
    "\n",
    "data['TLP_Ratio'] = round(100 * data['ThirdLargestPropertyUseTypeGFA']/data['PropertyGFATotal'])\n",
    "data['TLP_Ratio'] = data['TLP_Ratio'].astype('int64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "7878a96a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OSEBuildingID</th>\n",
       "      <th>BuildingType</th>\n",
       "      <th>PrimaryPropertyType</th>\n",
       "      <th>PropertyName</th>\n",
       "      <th>CouncilDistrictCode</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>NumberofBuildings</th>\n",
       "      <th>NumberofFloors</th>\n",
       "      <th>PropertyGFATotal</th>\n",
       "      <th>PropertyGFAParking</th>\n",
       "      <th>PropertyGFABuilding(s)</th>\n",
       "      <th>ListOfAllPropertyUseTypes</th>\n",
       "      <th>LargestPropertyUseType</th>\n",
       "      <th>LargestPropertyUseTypeGFA</th>\n",
       "      <th>SecondLargestPropertyUseType</th>\n",
       "      <th>SecondLargestPropertyUseTypeGFA</th>\n",
       "      <th>ThirdLargestPropertyUseType</th>\n",
       "      <th>ThirdLargestPropertyUseTypeGFA</th>\n",
       "      <th>ENERGYSTARScore</th>\n",
       "      <th>SiteEnergyUse(kBtu)</th>\n",
       "      <th>SteamUse(kBtu)</th>\n",
       "      <th>Electricity(kBtu)</th>\n",
       "      <th>NaturalGas(kBtu)</th>\n",
       "      <th>TotalGHGEmissions</th>\n",
       "      <th>ZipCode</th>\n",
       "      <th>BuildingAge</th>\n",
       "      <th>SteamUse_check</th>\n",
       "      <th>Electricity_check</th>\n",
       "      <th>NaturalGas_check</th>\n",
       "      <th>DistributionCenter</th>\n",
       "      <th>HospitalGeneralMedicalSurgical</th>\n",
       "      <th>Hotel</th>\n",
       "      <th>MedicalOffice</th>\n",
       "      <th>NonRefrigeratedWarehouse</th>\n",
       "      <th>Office</th>\n",
       "      <th>Other</th>\n",
       "      <th>OtherEducation</th>\n",
       "      <th>RetailStore</th>\n",
       "      <th>SupermarketGroceryStore</th>\n",
       "      <th>LP_Ratio</th>\n",
       "      <th>SLP_Ratio</th>\n",
       "      <th>TLP_Ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>NonResidential</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Mayflower park hotel</td>\n",
       "      <td>g</td>\n",
       "      <td>Downtown</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>88434</td>\n",
       "      <td>0</td>\n",
       "      <td>88434</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>88434</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7226362</td>\n",
       "      <td>2003882</td>\n",
       "      <td>3946027</td>\n",
       "      <td>1276453</td>\n",
       "      <td>250</td>\n",
       "      <td>98101</td>\n",
       "      <td>94</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>NonResidential</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Paramount Hotel</td>\n",
       "      <td>g</td>\n",
       "      <td>Downtown</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>103566</td>\n",
       "      <td>15064</td>\n",
       "      <td>88502</td>\n",
       "      <td>Hotel, Parking, Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>83880</td>\n",
       "      <td>Parking</td>\n",
       "      <td>15064</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>4622</td>\n",
       "      <td>61.0</td>\n",
       "      <td>8387933</td>\n",
       "      <td>0</td>\n",
       "      <td>3242851</td>\n",
       "      <td>5145082</td>\n",
       "      <td>296</td>\n",
       "      <td>98101</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>81</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>NonResidential</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>5673-The Westin Seattle</td>\n",
       "      <td>g</td>\n",
       "      <td>Downtown</td>\n",
       "      <td>1</td>\n",
       "      <td>41</td>\n",
       "      <td>956110</td>\n",
       "      <td>196718</td>\n",
       "      <td>759392</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>756493</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>72587024</td>\n",
       "      <td>21566554</td>\n",
       "      <td>49526664</td>\n",
       "      <td>1493800</td>\n",
       "      <td>2089</td>\n",
       "      <td>98101</td>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>NonResidential</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>HOTEL MAX</td>\n",
       "      <td>g</td>\n",
       "      <td>Downtown</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>61320</td>\n",
       "      <td>0</td>\n",
       "      <td>61320</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>61320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>6794584</td>\n",
       "      <td>2214446</td>\n",
       "      <td>2768924</td>\n",
       "      <td>1811213</td>\n",
       "      <td>286</td>\n",
       "      <td>98101</td>\n",
       "      <td>95</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>NonResidential</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>WARWICK SEATTLE HOTEL (ID8)</td>\n",
       "      <td>g</td>\n",
       "      <td>Downtown</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>175580</td>\n",
       "      <td>62000</td>\n",
       "      <td>113580</td>\n",
       "      <td>Hotel, Parking, Swimming Pool</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>123445</td>\n",
       "      <td>Parking</td>\n",
       "      <td>68009</td>\n",
       "      <td>Swimming Pool</td>\n",
       "      <td>0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>14172606</td>\n",
       "      <td>0</td>\n",
       "      <td>5368607</td>\n",
       "      <td>8803998</td>\n",
       "      <td>505</td>\n",
       "      <td>98121</td>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>70</td>\n",
       "      <td>39</td>\n",
       "      <td>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",
       "      <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>1681</th>\n",
       "      <td>50221</td>\n",
       "      <td>Nonresidential COS</td>\n",
       "      <td>Other</td>\n",
       "      <td>High Point Community Center</td>\n",
       "      <td>a</td>\n",
       "      <td>Delridge</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>18261</td>\n",
       "      <td>0</td>\n",
       "      <td>18261</td>\n",
       "      <td>Other - Recreation</td>\n",
       "      <td>Other - Recreation</td>\n",
       "      <td>18261</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>932082</td>\n",
       "      <td>0</td>\n",
       "      <td>632362</td>\n",
       "      <td>299720</td>\n",
       "      <td>20</td>\n",
       "      <td>98100</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1682</th>\n",
       "      <td>50223</td>\n",
       "      <td>Nonresidential COS</td>\n",
       "      <td>Other</td>\n",
       "      <td>International district/Chinatown CC</td>\n",
       "      <td>b</td>\n",
       "      <td>Downtown</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>16000</td>\n",
       "      <td>0</td>\n",
       "      <td>16000</td>\n",
       "      <td>Other - Recreation</td>\n",
       "      <td>Other - Recreation</td>\n",
       "      <td>16000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>950276</td>\n",
       "      <td>0</td>\n",
       "      <td>396546</td>\n",
       "      <td>553730</td>\n",
       "      <td>32</td>\n",
       "      <td>98100</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1683</th>\n",
       "      <td>50224</td>\n",
       "      <td>Nonresidential COS</td>\n",
       "      <td>Other</td>\n",
       "      <td>Queen Anne Pool</td>\n",
       "      <td>g</td>\n",
       "      <td>Magnolia / queen anne</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>13157</td>\n",
       "      <td>0</td>\n",
       "      <td>13157</td>\n",
       "      <td>Fitness Center/Health Club/Gym, Other - Recrea...</td>\n",
       "      <td>Other - Recreation</td>\n",
       "      <td>7583</td>\n",
       "      <td>Fitness Center/Health Club/Gym</td>\n",
       "      <td>5574</td>\n",
       "      <td>Swimming Pool</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5765898</td>\n",
       "      <td>0</td>\n",
       "      <td>1792159</td>\n",
       "      <td>3973739</td>\n",
       "      <td>224</td>\n",
       "      <td>98100</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>58</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1684</th>\n",
       "      <td>50225</td>\n",
       "      <td>Nonresidential COS</td>\n",
       "      <td>Mixed Use Property</td>\n",
       "      <td>South Park Community Center</td>\n",
       "      <td>a</td>\n",
       "      <td>Greater duwamish</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>14101</td>\n",
       "      <td>0</td>\n",
       "      <td>14101</td>\n",
       "      <td>Fitness Center/Health Club/Gym, Food Service, ...</td>\n",
       "      <td>Other - Recreation</td>\n",
       "      <td>6601</td>\n",
       "      <td>Fitness Center/Health Club/Gym</td>\n",
       "      <td>6501</td>\n",
       "      <td>Pre-school/Daycare</td>\n",
       "      <td>484</td>\n",
       "      <td>NaN</td>\n",
       "      <td>719471</td>\n",
       "      <td>0</td>\n",
       "      <td>348870</td>\n",
       "      <td>370601</td>\n",
       "      <td>22</td>\n",
       "      <td>98100</td>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>47</td>\n",
       "      <td>46</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1685</th>\n",
       "      <td>50226</td>\n",
       "      <td>Nonresidential COS</td>\n",
       "      <td>Mixed Use Property</td>\n",
       "      <td>Van Asselt Community Center</td>\n",
       "      <td>b</td>\n",
       "      <td>Greater duwamish</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>18258</td>\n",
       "      <td>0</td>\n",
       "      <td>18258</td>\n",
       "      <td>Fitness Center/Health Club/Gym, Food Service, ...</td>\n",
       "      <td>Other - Recreation</td>\n",
       "      <td>8271</td>\n",
       "      <td>Fitness Center/Health Club/Gym</td>\n",
       "      <td>8000</td>\n",
       "      <td>Pre-school/Daycare</td>\n",
       "      <td>1108</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1152896</td>\n",
       "      <td>0</td>\n",
       "      <td>432554</td>\n",
       "      <td>720342</td>\n",
       "      <td>41</td>\n",
       "      <td>98100</td>\n",
       "      <td>83</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>44</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1681 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      OSEBuildingID        BuildingType PrimaryPropertyType  \\\n",
       "0                 1      NonResidential               Hotel   \n",
       "1                 2      NonResidential               Hotel   \n",
       "2                 3      NonResidential               Hotel   \n",
       "3                 5      NonResidential               Hotel   \n",
       "4                 8      NonResidential               Hotel   \n",
       "...             ...                 ...                 ...   \n",
       "1681          50221  Nonresidential COS               Other   \n",
       "1682          50223  Nonresidential COS               Other   \n",
       "1683          50224  Nonresidential COS               Other   \n",
       "1684          50225  Nonresidential COS  Mixed Use Property   \n",
       "1685          50226  Nonresidential COS  Mixed Use Property   \n",
       "\n",
       "                             PropertyName CouncilDistrictCode  \\\n",
       "0                    Mayflower park hotel                   g   \n",
       "1                         Paramount Hotel                   g   \n",
       "2                 5673-The Westin Seattle                   g   \n",
       "3                               HOTEL MAX                   g   \n",
       "4             WARWICK SEATTLE HOTEL (ID8)                   g   \n",
       "...                                   ...                 ...   \n",
       "1681          High Point Community Center                   a   \n",
       "1682  International district/Chinatown CC                   b   \n",
       "1683                      Queen Anne Pool                   g   \n",
       "1684          South Park Community Center                   a   \n",
       "1685          Van Asselt Community Center                   b   \n",
       "\n",
       "               Neighborhood  NumberofBuildings  NumberofFloors  \\\n",
       "0                  Downtown                  1              12   \n",
       "1                  Downtown                  1              11   \n",
       "2                  Downtown                  1              41   \n",
       "3                  Downtown                  1              10   \n",
       "4                  Downtown                  1              18   \n",
       "...                     ...                ...             ...   \n",
       "1681               Delridge                  1               1   \n",
       "1682               Downtown                  1               1   \n",
       "1683  Magnolia / queen anne                  1               1   \n",
       "1684       Greater duwamish                  1               1   \n",
       "1685       Greater duwamish                  1               1   \n",
       "\n",
       "      PropertyGFATotal  PropertyGFAParking  PropertyGFABuilding(s)  \\\n",
       "0                88434                   0                   88434   \n",
       "1               103566               15064                   88502   \n",
       "2               956110              196718                  759392   \n",
       "3                61320                   0                   61320   \n",
       "4               175580               62000                  113580   \n",
       "...                ...                 ...                     ...   \n",
       "1681             18261                   0                   18261   \n",
       "1682             16000                   0                   16000   \n",
       "1683             13157                   0                   13157   \n",
       "1684             14101                   0                   14101   \n",
       "1685             18258                   0                   18258   \n",
       "\n",
       "                              ListOfAllPropertyUseTypes  \\\n",
       "0                                                 Hotel   \n",
       "1                            Hotel, Parking, Restaurant   \n",
       "2                                                 Hotel   \n",
       "3                                                 Hotel   \n",
       "4                         Hotel, Parking, Swimming Pool   \n",
       "...                                                 ...   \n",
       "1681                                 Other - Recreation   \n",
       "1682                                 Other - Recreation   \n",
       "1683  Fitness Center/Health Club/Gym, Other - Recrea...   \n",
       "1684  Fitness Center/Health Club/Gym, Food Service, ...   \n",
       "1685  Fitness Center/Health Club/Gym, Food Service, ...   \n",
       "\n",
       "     LargestPropertyUseType  LargestPropertyUseTypeGFA  \\\n",
       "0                     Hotel                      88434   \n",
       "1                     Hotel                      83880   \n",
       "2                     Hotel                     756493   \n",
       "3                     Hotel                      61320   \n",
       "4                     Hotel                     123445   \n",
       "...                     ...                        ...   \n",
       "1681     Other - Recreation                      18261   \n",
       "1682     Other - Recreation                      16000   \n",
       "1683     Other - Recreation                       7583   \n",
       "1684     Other - Recreation                       6601   \n",
       "1685     Other - Recreation                       8271   \n",
       "\n",
       "        SecondLargestPropertyUseType  SecondLargestPropertyUseTypeGFA  \\\n",
       "0                                NaN                                0   \n",
       "1                            Parking                            15064   \n",
       "2                                NaN                                0   \n",
       "3                                NaN                                0   \n",
       "4                            Parking                            68009   \n",
       "...                              ...                              ...   \n",
       "1681                             NaN                                0   \n",
       "1682                             NaN                                0   \n",
       "1683  Fitness Center/Health Club/Gym                             5574   \n",
       "1684  Fitness Center/Health Club/Gym                             6501   \n",
       "1685  Fitness Center/Health Club/Gym                             8000   \n",
       "\n",
       "     ThirdLargestPropertyUseType  ThirdLargestPropertyUseTypeGFA  \\\n",
       "0                            NaN                               0   \n",
       "1                     Restaurant                            4622   \n",
       "2                            NaN                               0   \n",
       "3                            NaN                               0   \n",
       "4                  Swimming Pool                               0   \n",
       "...                          ...                             ...   \n",
       "1681                         NaN                               0   \n",
       "1682                         NaN                               0   \n",
       "1683               Swimming Pool                               0   \n",
       "1684          Pre-school/Daycare                             484   \n",
       "1685          Pre-school/Daycare                            1108   \n",
       "\n",
       "      ENERGYSTARScore  SiteEnergyUse(kBtu)  SteamUse(kBtu)  Electricity(kBtu)  \\\n",
       "0                60.0              7226362         2003882            3946027   \n",
       "1                61.0              8387933               0            3242851   \n",
       "2                43.0             72587024        21566554           49526664   \n",
       "3                56.0              6794584         2214446            2768924   \n",
       "4                75.0             14172606               0            5368607   \n",
       "...               ...                  ...             ...                ...   \n",
       "1681              NaN               932082               0             632362   \n",
       "1682              NaN               950276               0             396546   \n",
       "1683              NaN              5765898               0            1792159   \n",
       "1684              NaN               719471               0             348870   \n",
       "1685              NaN              1152896               0             432554   \n",
       "\n",
       "      NaturalGas(kBtu)  TotalGHGEmissions  ZipCode  BuildingAge  \\\n",
       "0              1276453                250    98101           94   \n",
       "1              5145082                296    98101           25   \n",
       "2              1493800               2089    98101           52   \n",
       "3              1811213                286    98101           95   \n",
       "4              8803998                505    98121           41   \n",
       "...                ...                ...      ...          ...   \n",
       "1681            299720                 20    98100           39   \n",
       "1682            553730                 32    98100           17   \n",
       "1683           3973739                224    98100           47   \n",
       "1684            370601                 22    98100           32   \n",
       "1685            720342                 41    98100           83   \n",
       "\n",
       "      SteamUse_check  Electricity_check  NaturalGas_check  DistributionCenter  \\\n",
       "0                  1                  1                 1                   0   \n",
       "1                  0                  1                 1                   0   \n",
       "2                  1                  1                 1                   0   \n",
       "3                  1                  1                 1                   0   \n",
       "4                  0                  1                 1                   0   \n",
       "...              ...                ...               ...                 ...   \n",
       "1681               0                  1                 1                   0   \n",
       "1682               0                  1                 1                   0   \n",
       "1683               0                  1                 1                   0   \n",
       "1684               0                  1                 1                   0   \n",
       "1685               0                  1                 1                   0   \n",
       "\n",
       "      HospitalGeneralMedicalSurgical  Hotel  MedicalOffice  \\\n",
       "0                                  0      1              0   \n",
       "1                                  0      1              0   \n",
       "2                                  0      1              0   \n",
       "3                                  0      1              0   \n",
       "4                                  0      1              0   \n",
       "...                              ...    ...            ...   \n",
       "1681                               0      0              0   \n",
       "1682                               0      0              0   \n",
       "1683                               0      0              0   \n",
       "1684                               0      0              0   \n",
       "1685                               0      0              0   \n",
       "\n",
       "      NonRefrigeratedWarehouse  Office  Other  OtherEducation  RetailStore  \\\n",
       "0                            0       0      0               0            0   \n",
       "1                            0       0      0               0            0   \n",
       "2                            0       0      0               0            0   \n",
       "3                            0       0      0               0            0   \n",
       "4                            0       0      0               0            0   \n",
       "...                        ...     ...    ...             ...          ...   \n",
       "1681                         0       0      0               0            0   \n",
       "1682                         0       0      0               0            0   \n",
       "1683                         0       0      0               0            0   \n",
       "1684                         0       0      0               0            0   \n",
       "1685                         0       0      0               0            0   \n",
       "\n",
       "      SupermarketGroceryStore  LP_Ratio  SLP_Ratio  TLP_Ratio  \n",
       "0                           0       100          0          0  \n",
       "1                           0        81         15          4  \n",
       "2                           0        79          0          0  \n",
       "3                           0       100          0          0  \n",
       "4                           0        70         39          0  \n",
       "...                       ...       ...        ...        ...  \n",
       "1681                        0       100          0          0  \n",
       "1682                        0       100          0          0  \n",
       "1683                        0        58         42          0  \n",
       "1684                        0        47         46          3  \n",
       "1685                        0        45         44          6  \n",
       "\n",
       "[1681 rows x 42 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78da5c1b",
   "metadata": {},
   "source": [
    "# 7. Le premier pas vers la modélisation : la baseline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "013774bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "identity = [\n",
    "    'OSEBuildingID',\n",
    "    'PropertyName',\n",
    "]\n",
    "\n",
    "features_cat = [\n",
    "    ##'BuildingType',\n",
    "    'PrimaryPropertyType',\n",
    "    ##'Neighborhood',\n",
    "    #'LargestPropertyUseType',\n",
    "    #'LP_category',\n",
    "]\n",
    "\n",
    "features_num = [\n",
    "    # ----\n",
    "    #'BuildingAge',\n",
    "    'NumberofBuildings',\n",
    "    ##'NumberofFloors',\n",
    "    'PropertyGFATotal',\n",
    "    'PropertyGFABuilding(s)',\n",
    "    #'PropertyGFAParking',\n",
    "    'LargestPropertyUseTypeGFA',\n",
    "    'SecondLargestPropertyUseTypeGFA',\n",
    "    #'ThirdLargestPropertyUseTypeGFA',\n",
    "    'ZipCode',\n",
    "    \n",
    "    # ----\n",
    "    \n",
    "    #'DataCenter',\n",
    "    'HospitalGeneralMedicalSurgical',\n",
    "    #'Laboratory',\n",
    "    'MedicalOffice',\n",
    "    'Other',\n",
    "    #'Parking',\n",
    "    'SupermarketGroceryStore',\n",
    "    #'UrgentCareClinicOtherOutpatient',\n",
    "    \n",
    "    # ----\n",
    "    \n",
    "    'Office',\n",
    "    'NonRefrigeratedWarehouse',\n",
    "    #'K12School',\n",
    "    'Hotel',\n",
    "    #'WorshipFacility',\n",
    "    'RetailStore',\n",
    "    'DistributionCenter',\n",
    "    'OtherEducation',\n",
    "\n",
    "\n",
    "    \n",
    "    \n",
    "    # ----\n",
    "    \n",
    "    'SteamUse_check',\n",
    "    #'Electricity_check',\n",
    "    'NaturalGas_check',\n",
    "    \n",
    "    # ----\n",
    "    \n",
    "    #'LP_Ratio_Other',\n",
    "    #'LP_Ratio_Hospital',\n",
    "    #'LP_Ratio_UrgentCare',\n",
    "    #'LP_Ratio_NonRefrigeratedWarehouse',\n",
    "    #'LP_Ratio_K12School',\n",
    "    #'LP_Ratio_RetailStore',\n",
    "    #'LP_Ratio_Office',\n",
    "    #'LP_Ratio_Hotel',\n",
    "    #'LP_Ratio_WorshipFacility',\n",
    "    #'LP_Ratio_MedicalOffice',\n",
    "    #'LP_Ratio_Laboratory',\n",
    "    # ----\n",
    "    'LP_Ratio',\n",
    "    'SLP_Ratio',\n",
    "    'TLP_Ratio',\n",
    "]\n",
    "\n",
    "features_high_corr = [\n",
    "    'SteamUse(kBtu)', 'NaturalGas(kBtu)', 'Electricity(kBtu)'\n",
    "]\n",
    "\n",
    "to_predict = ['SiteEnergyUse(kBtu)', 'TotalGHGEmissions']\n",
    "\n",
    "energystar = ['ENERGYSTARScore']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "7bb8b49d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1681 entries, 0 to 1685\n",
      "Data columns (total 42 columns):\n",
      " #   Column                           Non-Null Count  Dtype  \n",
      "---  ------                           --------------  -----  \n",
      " 0   OSEBuildingID                    1681 non-null   int64  \n",
      " 1   BuildingType                     1681 non-null   object \n",
      " 2   PrimaryPropertyType              1681 non-null   object \n",
      " 3   PropertyName                     1681 non-null   object \n",
      " 4   CouncilDistrictCode              1681 non-null   object \n",
      " 5   Neighborhood                     1681 non-null   object \n",
      " 6   NumberofBuildings                1681 non-null   int64  \n",
      " 7   NumberofFloors                   1681 non-null   int64  \n",
      " 8   PropertyGFATotal                 1681 non-null   int64  \n",
      " 9   PropertyGFAParking               1681 non-null   int64  \n",
      " 10  PropertyGFABuilding(s)           1681 non-null   int64  \n",
      " 11  ListOfAllPropertyUseTypes        1668 non-null   object \n",
      " 12  LargestPropertyUseType           1664 non-null   object \n",
      " 13  LargestPropertyUseTypeGFA        1681 non-null   int64  \n",
      " 14  SecondLargestPropertyUseType     863 non-null    object \n",
      " 15  SecondLargestPropertyUseTypeGFA  1681 non-null   int64  \n",
      " 16  ThirdLargestPropertyUseType      354 non-null    object \n",
      " 17  ThirdLargestPropertyUseTypeGFA   1681 non-null   int64  \n",
      " 18  ENERGYSTARScore                  1117 non-null   float64\n",
      " 19  SiteEnergyUse(kBtu)              1681 non-null   int64  \n",
      " 20  SteamUse(kBtu)                   1681 non-null   int64  \n",
      " 21  Electricity(kBtu)                1681 non-null   int64  \n",
      " 22  NaturalGas(kBtu)                 1681 non-null   int64  \n",
      " 23  TotalGHGEmissions                1681 non-null   int64  \n",
      " 24  ZipCode                          1681 non-null   int64  \n",
      " 25  BuildingAge                      1681 non-null   int64  \n",
      " 26  SteamUse_check                   1681 non-null   int64  \n",
      " 27  Electricity_check                1681 non-null   int64  \n",
      " 28  NaturalGas_check                 1681 non-null   int64  \n",
      " 29  DistributionCenter               1681 non-null   uint8  \n",
      " 30  HospitalGeneralMedicalSurgical   1681 non-null   uint8  \n",
      " 31  Hotel                            1681 non-null   uint8  \n",
      " 32  MedicalOffice                    1681 non-null   uint8  \n",
      " 33  NonRefrigeratedWarehouse         1681 non-null   uint8  \n",
      " 34  Office                           1681 non-null   uint8  \n",
      " 35  Other                            1681 non-null   uint8  \n",
      " 36  OtherEducation                   1681 non-null   uint8  \n",
      " 37  RetailStore                      1681 non-null   uint8  \n",
      " 38  SupermarketGroceryStore          1681 non-null   uint8  \n",
      " 39  LP_Ratio                         1681 non-null   int64  \n",
      " 40  SLP_Ratio                        1681 non-null   int64  \n",
      " 41  TLP_Ratio                        1681 non-null   int64  \n",
      "dtypes: float64(1), int64(22), object(9), uint8(10)\n",
      "memory usage: 449.8+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "12adc947",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.compose import make_column_transformer\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.preprocessing import RobustScaler\n",
    "from sklearn.pipeline import make_pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "ef8b3401",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "La taille de données d'entrainement : 1344\n",
      "La taille de données d'entrainement : 337\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn import model_selection\n",
    "from sklearn.metrics import r2_score\n",
    "\n",
    "#X = data[features_num]\n",
    "\n",
    "X = data[['BuildingAge', 'NumberofFloors']]\n",
    "y = data['SiteEnergyUse(kBtu)'].values\n",
    "\n",
    "column_trans = make_column_transformer(\n",
    "    (OneHotEncoder(), features_cat),  # encodage\n",
    "    (StandardScaler(), features_num),  # standardisation\n",
    "    #(StandardScaler(), features_high_corr),\n",
    "    remainder='passthrough')\n",
    "\n",
    "#X = column_trans.fit_transform(data[features_cat + features_num])\n",
    "\n",
    "X_train, X_test, y_train, y_test = model_selection.train_test_split(\n",
    "    X, y, test_size=0.2,\n",
    "    random_state=42)  # 20% des données dans le jeu de test\n",
    "\n",
    "print(f\"La taille de données d'entrainement : {X_train.shape[0]}\")\n",
    "print(f\"La taille de données d'entrainement : {X_test.shape[0]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "51767cbb",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import preprocessing\n",
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "146efdca",
   "metadata": {},
   "source": [
    "standard_scaler = preprocessing.StandardScaler().fit(X_train)\n",
    "\n",
    "X_train = standard_scaler.transform(X_train)\n",
    "X_test = standard_scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "8fa0408b",
   "metadata": {},
   "outputs": [],
   "source": [
    "lin_reg = LinearRegression()\n",
    "lin_reg.fit(X_train, y_train)\n",
    "y_pred_lr = lin_reg.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "73d684b9",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Le score R^2 de la performance du modèle baseline : 0.1407\n"
     ]
    }
   ],
   "source": [
    "print(\"Le score R^2 de la performance du modèle baseline : {:.4f}\".format(r2_score(y_test, y_pred_lr)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "a1cdc0c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7.156504732982285e+18"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lin_reg.intercept_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "654c4979",
   "metadata": {},
   "outputs": [],
   "source": [
    "# plt.barh(['BuildingAge', 'PropertyGFATotal'], lin_reg.coef_)\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "a3aaf558",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_transformed = data[identity + features_cat + features_num + to_predict + energystar]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "c760a0b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_transformed.to_csv('data/building-energy-benchmarking_transformed.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "22112d13",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1681 entries, 0 to 1685\n",
      "Data columns (total 27 columns):\n",
      " #   Column                           Non-Null Count  Dtype  \n",
      "---  ------                           --------------  -----  \n",
      " 0   OSEBuildingID                    1681 non-null   int64  \n",
      " 1   PropertyName                     1681 non-null   object \n",
      " 2   PrimaryPropertyType              1681 non-null   object \n",
      " 3   NumberofBuildings                1681 non-null   int64  \n",
      " 4   PropertyGFATotal                 1681 non-null   int64  \n",
      " 5   PropertyGFABuilding(s)           1681 non-null   int64  \n",
      " 6   LargestPropertyUseTypeGFA        1681 non-null   int64  \n",
      " 7   SecondLargestPropertyUseTypeGFA  1681 non-null   int64  \n",
      " 8   ZipCode                          1681 non-null   int64  \n",
      " 9   HospitalGeneralMedicalSurgical   1681 non-null   uint8  \n",
      " 10  MedicalOffice                    1681 non-null   uint8  \n",
      " 11  Other                            1681 non-null   uint8  \n",
      " 12  SupermarketGroceryStore          1681 non-null   uint8  \n",
      " 13  Office                           1681 non-null   uint8  \n",
      " 14  NonRefrigeratedWarehouse         1681 non-null   uint8  \n",
      " 15  Hotel                            1681 non-null   uint8  \n",
      " 16  RetailStore                      1681 non-null   uint8  \n",
      " 17  DistributionCenter               1681 non-null   uint8  \n",
      " 18  OtherEducation                   1681 non-null   uint8  \n",
      " 19  SteamUse_check                   1681 non-null   int64  \n",
      " 20  NaturalGas_check                 1681 non-null   int64  \n",
      " 21  LP_Ratio                         1681 non-null   int64  \n",
      " 22  SLP_Ratio                        1681 non-null   int64  \n",
      " 23  TLP_Ratio                        1681 non-null   int64  \n",
      " 24  SiteEnergyUse(kBtu)              1681 non-null   int64  \n",
      " 25  TotalGHGEmissions                1681 non-null   int64  \n",
      " 26  ENERGYSTARScore                  1117 non-null   float64\n",
      "dtypes: float64(1), int64(14), object(2), uint8(10)\n",
      "memory usage: 252.8+ KB\n"
     ]
    }
   ],
   "source": [
    "data_transformed.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "b57232db",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import library for VIF\n",
    "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
    "\n",
    "def calc_vif(X):\n",
    "\n",
    "    # Calculating VIF\n",
    "    vif = pd.DataFrame()\n",
    "    vif[\"variables\"] = X.columns\n",
    "    vif[\"VIF\"] = [variance_inflation_factor(X.values, i) for i in range(X.shape[1])]\n",
    "\n",
    "    return(vif)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "b58ff63d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>variables</th>\n",
       "      <th>VIF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NumberofBuildings</td>\n",
       "      <td>4.681607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PropertyGFATotal</td>\n",
       "      <td>56.533898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PropertyGFABuilding(s)</td>\n",
       "      <td>35.576723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LargestPropertyUseTypeGFA</td>\n",
       "      <td>26.133730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SecondLargestPropertyUseTypeGFA</td>\n",
       "      <td>4.773791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ZipCode</td>\n",
       "      <td>25.540653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>HospitalGeneralMedicalSurgical</td>\n",
       "      <td>1.355011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>MedicalOffice</td>\n",
       "      <td>1.123612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Other</td>\n",
       "      <td>1.210134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SupermarketGroceryStore</td>\n",
       "      <td>1.078734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Office</td>\n",
       "      <td>2.194952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>NonRefrigeratedWarehouse</td>\n",
       "      <td>1.387151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Hotel</td>\n",
       "      <td>1.178480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>RetailStore</td>\n",
       "      <td>1.187756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>DistributionCenter</td>\n",
       "      <td>1.103037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>OtherEducation</td>\n",
       "      <td>1.018410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>SteamUse_check</td>\n",
       "      <td>1.205634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>NaturalGas_check</td>\n",
       "      <td>3.914590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>LP_Ratio</td>\n",
       "      <td>14.091514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>SLP_Ratio</td>\n",
       "      <td>3.076542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>TLP_Ratio</td>\n",
       "      <td>1.473864</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          variables        VIF\n",
       "0                 NumberofBuildings   4.681607\n",
       "1                  PropertyGFATotal  56.533898\n",
       "2            PropertyGFABuilding(s)  35.576723\n",
       "3         LargestPropertyUseTypeGFA  26.133730\n",
       "4   SecondLargestPropertyUseTypeGFA   4.773791\n",
       "5                           ZipCode  25.540653\n",
       "6    HospitalGeneralMedicalSurgical   1.355011\n",
       "7                     MedicalOffice   1.123612\n",
       "8                             Other   1.210134\n",
       "9           SupermarketGroceryStore   1.078734\n",
       "10                           Office   2.194952\n",
       "11         NonRefrigeratedWarehouse   1.387151\n",
       "12                            Hotel   1.178480\n",
       "13                      RetailStore   1.187756\n",
       "14               DistributionCenter   1.103037\n",
       "15                   OtherEducation   1.018410\n",
       "16                   SteamUse_check   1.205634\n",
       "17                 NaturalGas_check   3.914590\n",
       "18                         LP_Ratio  14.091514\n",
       "19                        SLP_Ratio   3.076542\n",
       "20                        TLP_Ratio   1.473864"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = data[features_num]\n",
    "calc_vif(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "5a561ba2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(figsize=(18, 10))\n",
    "matrix = np.triu(data[features_num + to_predict + energystar].corr())\n",
    "\n",
    "ax = sns.heatmap(data[features_num + to_predict + energystar].corr(),\n",
    "                 annot=True,\n",
    "                 fmt=\".2f\",\n",
    "                 mask=matrix,\n",
    "                 cmap='coolwarm',\n",
    "                 center=0,\n",
    "                 linewidths=.5\n",
    "                )\n",
    "ax.set_title(f'Heatmap des corrélations\\n', fontdict=font)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f1bcfed3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}