HousingSuitability.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Initialization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import arcpy\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "from arcgis.gis import *\n",
    "gis = GIS()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "dirRoot         = r\"E:\\GitHub\\Housing-Suitability\"\n",
    "dirData         = os.path.join(dirRoot,'data'        )\n",
    "dirIntermediate = os.path.join(dirRoot,'intermediate')\n",
    "dirResults      = os.path.join(dirRoot,'results'     )\n",
    "\n",
    "strGDB = os.path.join(dirResults, \"HousingSuitability.gdb\")\n",
    "\n",
    "strCentersIn  = os.path.join(dirData,r\"Wasatch_Choice_2050_Centers_(Vision_Map)\\WC2050Centers.shp\")\n",
    "strCentersOut = os.path.join(strGDB ,r\"Centers\")\n",
    "strCentersOut_MC = os.path.join(strGDB ,r\"MetropolitanCenters\")\n",
    "strCentersOut_UC = os.path.join(strGDB ,r\"UrbanCenters\")\n",
    "strCentersOut_CC = os.path.join(strGDB ,r\"CityCenters\")\n",
    "strCentersOut_NC = os.path.join(strGDB ,r\"NeighborhoodCenters\")\n",
    "\n",
    "strSchoolsIn         = os.path.join(dirData,r\"Utah_Schools__from_AGRC_-shp\\Schools.dbf\")\n",
    "strSchoolsOut_RegPub = os.path.join(strGDB ,r\"SchoolsRegPublic\")\n",
    "strSchoolsOut_HighEd = os.path.join(strGDB ,r\"SchoolsHigherEd\")\n",
    "\n",
    "strATLinesIn  = os.path.join(dirData,r\"Active_Transportation_Line_Projects_(2019-2050_RTP)\\AT_lines.shp\")\n",
    "strATLinesOut = os.path.join(strGDB ,r\"ActiveTransportationFacilities\")\n",
    "\n",
    "strTransitIn_Stops   = os.path.join(dirData,r\"UTA_Stops_and_Most_Recent_Ridership\\UTA_Stops_and_Most_Recent_Ridership.shp\")\n",
    "strTransitIn_830X    = os.path.join(dirData,r\"UTA_Stops_and_Most_Recent_Ridership\\UTA_Stops_and_Most_Recent_Ridership_830X.shp\")\n",
    "strTransitIn_BRT     = os.path.join(dirData,r\"NewTransit.gdb\\BRT_Stops\")\n",
    "strTransitIn_LRT     = os.path.join(dirData,r\"NewTransit.gdb\\LightRail_Stations\")\n",
    "strTransitIn_CRT     = os.path.join(dirData,r\"NewTransit.gdb\\CommuterRail_Stations\")\n",
    "strTransitOut_Lcl    = os.path.join(strGDB, r\"LocalBusStops\")\n",
    "strTransitOut_BrtCur = os.path.join(strGDB, r\"BRTStops\")\n",
    "strTransitOut_BrtFut = os.path.join(strGDB, r\"BRTStops_Future\")\n",
    "strTransitOut_LrtCur = os.path.join(strGDB, r\"LRTStops\")\n",
    "strTransitOut_LrtFut = os.path.join(strGDB, r\"LRTStops_Future\")\n",
    "strTransitOut_CrtCur = os.path.join(strGDB, r\"CRTStops\")\n",
    "strTransitOut_CrtFut = os.path.join(strGDB, r\"CRTStops_Future\")\n",
    "\n",
    "strInterchangesIn_Cur  = os.path.join(dirData, r\"Utah_Roads_Freeway_Exits\\Roads_FreewayExits.shp\")\n",
    "strInterchangesIn_Fut  = os.path.join(dirData, r\"Roadway_Point_Projects_(2019-2050_RTP)\\Roadway_points.shp\")\n",
    "strInterchangesOut_Cur = os.path.join(strGDB, r\"Interchanges\")\n",
    "strInterchangesOut_Fut = os.path.join(strGDB, r\"Interchanges_Future\")\n",
    "\n",
    "strRoadsIn = os.path.join(dirData, r\"UtahRoadsNetworkAnalysis_gdb\\UtahRoadsNetworkAnalysis.gdb\\Roads\")\n",
    "\n",
    "strATCycleTracksOut_Cur = os.path.join(strGDB, r\"ATCycleTracks\")\n",
    "strATCycleTracksOut_Fut = os.path.join(strGDB, r\"ATCycleTracks_Future\")\n",
    "\n",
    "strTrailsAndPathwaysIn = os.path.join(dirData, r\"Utah_Trails_and_Pathways\\TrailsAndPathways.shp\")\n",
    "strPathsOut_Cur        = os.path.join(strGDB, r\"ATPaths\")\n",
    "strPathsOut_Fut        = os.path.join(strGDB, r\"ATPaths_Future\")\n",
    "\n",
    "strGroceryIn           = os.path.join(dirData, r\"Utah_Grocery_And_Food_Stores__UDAF_-shp\\Utah_Grocery_And_Food_Stores__UDAF_.shp\")\n",
    "strHealthCareIn        = os.path.join(dirData, r\"Utah_Health_Care_Facilities\\HealthCareFacilities.shp\")\n",
    "strParkAccessibilityIn = os.path.join(dirData, r\"Park_Accessibility__10_Minute_Walk-shp\\WalkAccesstoParks_10Min_Polygons.shp\")\n",
    "\n",
    "strGroceryOut           = os.path.join(strGDB, r\"GroceryStores\")\n",
    "strHealthCareOut        = os.path.join(strGDB, r\"HealthCare\")\n",
    "strParkAccessibilityOut = os.path.join(strGDB, r\"ParksAndOpenSpace\")\n",
    "\n",
    "strChildCareIn  = os.path.join(dirData, r\"DayCare\\ChildCare.shp\")\n",
    "strChildCareOut = os.path.join(strGDB, r\"ChildCare\")\n",
    "\n",
    "strCommunityCenterIn  = os.path.join(dirData, r\"Community_Centers\\Community_Centers.shp\")\n",
    "strCommunityCenterOut = os.path.join(strGDB, r\"CommunityCenter\")\n",
    "\n",
    "strQOZIn = os.path.join(dirData, r\"Utah_Qualified_Opportunity_Zones-shp\\UtahQualifiedOpportunityZones.shp\")\n",
    "strQOZOut = os.path.join(strGDB, r\"UtahQualifiedOpportunityZones\")\n",
    "\n",
    "strParcelsIn  = os.path.join(dirData, r\"remm_base_year_20221003\\remm_base_year.gdb\\parcels\")\n",
    "strBuildingsIn = os.path.join(dirData, r\"remm_base_year_20221003\\remm_base_year.gdb\\buildings\")\n",
    "strParcelsOut = os.path.join(strGDB, \"Parcels\")\n",
    "\n",
    "strMunicipalitiesIn = os.path.join(dirData, r\"Utah_Municipal_Boundaries\\Utah_Municipal_Boundaries.shp\")\n",
    "strMetroTownshipsIn = os.path.join(dirData, r\"Utah_Metro_Townships\\Utah_Metro_Townships.shp\")\n",
    "strCommunitiesOut   = os.path.join(strGDB, \"Communities\")\n",
    "\n",
    "strTAZIn      = os.path.join(dirData, r\"USTM_TAZ\\TAZ.shp\")\n",
    "strAtoWfrc    = os.path.join(dirData, r\"ATO_TDM_Output\\ATO19_WFRC.csv\")\n",
    "\n",
    "strTAZwithATOOut = os.path.join(strGDB, \"TAZWithATOScores\")\n",
    "\n",
    "def deleteIfExists(obj):\n",
    "    if arcpy.Exists(obj): arcpy.Delete_management(obj)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Centers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>AreaName</th>\n",
       "      <th>AreaType</th>\n",
       "      <th>SHAPE</th>\n",
       "      <th>SHAPE_Leng</th>\n",
       "      <th>SHAPE_Area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Canyons</td>\n",
       "      <td>Neighborhood Center</td>\n",
       "      <td>{\"rings\": [[[-12418504.822900001, 4966253.6288...</td>\n",
       "      <td>2580.425945</td>\n",
       "      <td>-4.571034e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Crossroads</td>\n",
       "      <td>City Center</td>\n",
       "      <td>{\"rings\": [[[-12459284.2573, 4920412.608000003...</td>\n",
       "      <td>8225.990358</td>\n",
       "      <td>-3.847764e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Deer Valley Base</td>\n",
       "      <td>Neighborhood Center</td>\n",
       "      <td>{\"rings\": [[[-12409785.853500001, 4959745.5618...</td>\n",
       "      <td>2318.218577</td>\n",
       "      <td>-1.626198e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>{\"rings\": [[[-12429503.8345, 4903193.442199998...</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>-1.267076e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Downtown Springville</td>\n",
       "      <td>City Center</td>\n",
       "      <td>{\"rings\": [[[-12428204.689199999, 4889666.9794...</td>\n",
       "      <td>13102.452785</td>\n",
       "      <td>-2.891819e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>Cottonwood Village</td>\n",
       "      <td>Neighborhood Center</td>\n",
       "      <td>{\"rings\": [[[-12450006.1489, 4963743.844400004...</td>\n",
       "      <td>1603.671838</td>\n",
       "      <td>-1.275807e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>Independence</td>\n",
       "      <td>City Center</td>\n",
       "      <td>{\"rings\": [[[-12460299.1094, 4933641.842799999...</td>\n",
       "      <td>11136.244121</td>\n",
       "      <td>-5.686543e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>Porter Rockwell</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>{\"rings\": [[[-12457394.2335, 4935251.2874], [-...</td>\n",
       "      <td>10191.341751</td>\n",
       "      <td>-4.110667e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>Washington Terrace US 89</td>\n",
       "      <td>City Center</td>\n",
       "      <td>{\"rings\": [[[-12464857.504700001, 5036005.7115...</td>\n",
       "      <td>7268.026516</td>\n",
       "      <td>-1.478004e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>Meadowbrook Station</td>\n",
       "      <td>City Center</td>\n",
       "      <td>{\"rings\": [[[-12456426.317699999, 4965563.0082...</td>\n",
       "      <td>8153.372700</td>\n",
       "      <td>-2.623103e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>226 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     AreaName             AreaType  \\\n",
       "3                     Canyons  Neighborhood Center   \n",
       "4                  Crossroads          City Center   \n",
       "5            Deer Valley Base  Neighborhood Center   \n",
       "7              Downtown Provo         Urban Center   \n",
       "8        Downtown Springville          City Center   \n",
       "..                        ...                  ...   \n",
       "296        Cottonwood Village  Neighborhood Center   \n",
       "297              Independence          City Center   \n",
       "298           Porter Rockwell         Urban Center   \n",
       "299  Washington Terrace US 89          City Center   \n",
       "300       Meadowbrook Station          City Center   \n",
       "\n",
       "                                                 SHAPE    SHAPE_Leng  \\\n",
       "3    {\"rings\": [[[-12418504.822900001, 4966253.6288...   2580.425945   \n",
       "4    {\"rings\": [[[-12459284.2573, 4920412.608000003...   8225.990358   \n",
       "5    {\"rings\": [[[-12409785.853500001, 4959745.5618...   2318.218577   \n",
       "7    {\"rings\": [[[-12429503.8345, 4903193.442199998...  30147.565276   \n",
       "8    {\"rings\": [[[-12428204.689199999, 4889666.9794...  13102.452785   \n",
       "..                                                 ...           ...   \n",
       "296  {\"rings\": [[[-12450006.1489, 4963743.844400004...   1603.671838   \n",
       "297  {\"rings\": [[[-12460299.1094, 4933641.842799999...  11136.244121   \n",
       "298  {\"rings\": [[[-12457394.2335, 4935251.2874], [-...  10191.341751   \n",
       "299  {\"rings\": [[[-12464857.504700001, 5036005.7115...   7268.026516   \n",
       "300  {\"rings\": [[[-12456426.317699999, 4965563.0082...   8153.372700   \n",
       "\n",
       "       SHAPE_Area  \n",
       "3   -4.571034e+05  \n",
       "4   -3.847764e+06  \n",
       "5   -1.626198e+05  \n",
       "7   -1.267076e+07  \n",
       "8   -2.891819e+06  \n",
       "..            ...  \n",
       "296 -1.275807e+05  \n",
       "297 -5.686543e+06  \n",
       "298 -4.110667e+06  \n",
       "299 -1.478004e+06  \n",
       "300 -2.623103e+06  \n",
       "\n",
       "[226 rows x 5 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Centers done!\n"
     ]
    }
   ],
   "source": [
    "#read in centers layer\n",
    "sdfCenters = pd.DataFrame.spatial.from_featureclass(strCentersIn)\n",
    "\n",
    "# limit to only these center types\n",
    "sdfCenters = sdfCenters[sdfCenters['AreaType'].isin(['Metropolitan Center', 'Neighborhood Center', 'Urban Center', 'City Center'])]\n",
    "\n",
    "# limit to only these fields\n",
    "sdfCenters = sdfCenters[['AreaName','AreaType','SHAPE','SHAPE_Leng','SHAPE_Area']]\n",
    "\n",
    "# export to final gdb\n",
    "sdfCenters.spatial.to_featureclass(strCentersOut,sanitize_columns=False)\n",
    "\n",
    "display(sdfCenters)\n",
    "print(\"Centers done!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Access to Jobs, Roads/Transit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FID</th>\n",
       "      <th>TAZID_x</th>\n",
       "      <th>SA_TAZID</th>\n",
       "      <th>CO_TAZID</th>\n",
       "      <th>SUBAREAID</th>\n",
       "      <th>EXTERNAL</th>\n",
       "      <th>ACRES</th>\n",
       "      <th>DEVACRES_x</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>...</th>\n",
       "      <th>AUTO_JB</th>\n",
       "      <th>AUTO_HH</th>\n",
       "      <th>TRAN_JB</th>\n",
       "      <th>TRAN_HH</th>\n",
       "      <th>COMP_AUTO</th>\n",
       "      <th>COMP_TRAN</th>\n",
       "      <th>AUTO_JB_WT</th>\n",
       "      <th>AUTO_HH_WT</th>\n",
       "      <th>TRAN_JB_WT</th>\n",
       "      <th>TRAN_HH_WT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5887</td>\n",
       "      <td>4022</td>\n",
       "      <td>460</td>\n",
       "      <td>110460</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>322.29</td>\n",
       "      <td>322.29</td>\n",
       "      <td>409807.97148</td>\n",
       "      <td>4.551224e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>104079</td>\n",
       "      <td>75935</td>\n",
       "      <td>2573</td>\n",
       "      <td>1883</td>\n",
       "      <td>102822</td>\n",
       "      <td>2543</td>\n",
       "      <td>50717497</td>\n",
       "      <td>3128517</td>\n",
       "      <td>1254036</td>\n",
       "      <td>77568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5888</td>\n",
       "      <td>4023</td>\n",
       "      <td>461</td>\n",
       "      <td>110461</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>316.91</td>\n",
       "      <td>316.91</td>\n",
       "      <td>409818.05584</td>\n",
       "      <td>4.552025e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>104442</td>\n",
       "      <td>76371</td>\n",
       "      <td>2251</td>\n",
       "      <td>1773</td>\n",
       "      <td>101175</td>\n",
       "      <td>2195</td>\n",
       "      <td>38225637</td>\n",
       "      <td>6659586</td>\n",
       "      <td>823785</td>\n",
       "      <td>154613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5889</td>\n",
       "      <td>4218</td>\n",
       "      <td>656</td>\n",
       "      <td>350656</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>828.83</td>\n",
       "      <td>701.91</td>\n",
       "      <td>407896.91458</td>\n",
       "      <td>4.518164e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>218058</td>\n",
       "      <td>92556</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5890</td>\n",
       "      <td>4219</td>\n",
       "      <td>657</td>\n",
       "      <td>350657</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>531.35</td>\n",
       "      <td>531.28</td>\n",
       "      <td>409430.46088</td>\n",
       "      <td>4.518727e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>225453</td>\n",
       "      <td>95818</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5891</td>\n",
       "      <td>6251</td>\n",
       "      <td>2696</td>\n",
       "      <td>492696</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>575.28</td>\n",
       "      <td>574.81</td>\n",
       "      <td>435443.25244</td>\n",
       "      <td>4.435982e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>55845</td>\n",
       "      <td>35081</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>55845</td>\n",
       "      <td>0</td>\n",
       "      <td>725983</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2853</th>\n",
       "      <td>8740</td>\n",
       "      <td>5862</td>\n",
       "      <td>2307</td>\n",
       "      <td>492307</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>163.96</td>\n",
       "      <td>163.96</td>\n",
       "      <td>442094.43254</td>\n",
       "      <td>4.463009e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>176925</td>\n",
       "      <td>92669</td>\n",
       "      <td>7941</td>\n",
       "      <td>3638</td>\n",
       "      <td>154340</td>\n",
       "      <td>6788</td>\n",
       "      <td>60472805</td>\n",
       "      <td>20980282</td>\n",
       "      <td>2714281</td>\n",
       "      <td>823616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2854</th>\n",
       "      <td>8741</td>\n",
       "      <td>4254</td>\n",
       "      <td>692</td>\n",
       "      <td>350692</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>413.00</td>\n",
       "      <td>348.59</td>\n",
       "      <td>405441.29072</td>\n",
       "      <td>4.506191e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>214644</td>\n",
       "      <td>114999</td>\n",
       "      <td>1954</td>\n",
       "      <td>2102</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2855</th>\n",
       "      <td>8742</td>\n",
       "      <td>4259</td>\n",
       "      <td>697</td>\n",
       "      <td>350697</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>290.96</td>\n",
       "      <td>290.96</td>\n",
       "      <td>407021.63812</td>\n",
       "      <td>4.506072e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>222836</td>\n",
       "      <td>122398</td>\n",
       "      <td>3278</td>\n",
       "      <td>2507</td>\n",
       "      <td>220503</td>\n",
       "      <td>3260</td>\n",
       "      <td>199482738</td>\n",
       "      <td>4712317</td>\n",
       "      <td>2934063</td>\n",
       "      <td>96527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2856</th>\n",
       "      <td>8743</td>\n",
       "      <td>4260</td>\n",
       "      <td>698</td>\n",
       "      <td>350698</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>161.32</td>\n",
       "      <td>161.32</td>\n",
       "      <td>407310.52727</td>\n",
       "      <td>4.505313e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>221088</td>\n",
       "      <td>124639</td>\n",
       "      <td>4777</td>\n",
       "      <td>4450</td>\n",
       "      <td>206653</td>\n",
       "      <td>4728</td>\n",
       "      <td>162499887</td>\n",
       "      <td>29165633</td>\n",
       "      <td>3511438</td>\n",
       "      <td>1041339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2857</th>\n",
       "      <td>8744</td>\n",
       "      <td>4277</td>\n",
       "      <td>715</td>\n",
       "      <td>350715</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>538.57</td>\n",
       "      <td>454.18</td>\n",
       "      <td>406723.23798</td>\n",
       "      <td>4.504754e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>198431</td>\n",
       "      <td>116959</td>\n",
       "      <td>1711</td>\n",
       "      <td>1665</td>\n",
       "      <td>167913</td>\n",
       "      <td>1694</td>\n",
       "      <td>1428701</td>\n",
       "      <td>912281</td>\n",
       "      <td>12318</td>\n",
       "      <td>12989</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2858 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       FID  TAZID_x  SA_TAZID  CO_TAZID  SUBAREAID  EXTERNAL   ACRES  \\\n",
       "0     5887     4022       460    110460          1         0  322.29   \n",
       "1     5888     4023       461    110461          1         0  316.91   \n",
       "2     5889     4218       656    350656          1         0  828.83   \n",
       "3     5890     4219       657    350657          1         0  531.35   \n",
       "4     5891     6251      2696    492696          1         0  575.28   \n",
       "...    ...      ...       ...       ...        ...       ...     ...   \n",
       "2853  8740     5862      2307    492307          1         0  163.96   \n",
       "2854  8741     4254       692    350692          1         0  413.00   \n",
       "2855  8742     4259       697    350697          1         0  290.96   \n",
       "2856  8743     4260       698    350698          1         0  161.32   \n",
       "2857  8744     4277       715    350715          1         0  538.57   \n",
       "\n",
       "      DEVACRES_x             X             Y  ...  AUTO_JB  AUTO_HH TRAN_JB  \\\n",
       "0         322.29  409807.97148  4.551224e+06  ...   104079    75935    2573   \n",
       "1         316.91  409818.05584  4.552025e+06  ...   104442    76371    2251   \n",
       "2         701.91  407896.91458  4.518164e+06  ...   218058    92556       0   \n",
       "3         531.28  409430.46088  4.518727e+06  ...   225453    95818       0   \n",
       "4         574.81  435443.25244  4.435982e+06  ...    55845    35081       0   \n",
       "...          ...           ...           ...  ...      ...      ...     ...   \n",
       "2853      163.96  442094.43254  4.463009e+06  ...   176925    92669    7941   \n",
       "2854      348.59  405441.29072  4.506191e+06  ...   214644   114999    1954   \n",
       "2855      290.96  407021.63812  4.506072e+06  ...   222836   122398    3278   \n",
       "2856      161.32  407310.52727  4.505313e+06  ...   221088   124639    4777   \n",
       "2857      454.18  406723.23798  4.504754e+06  ...   198431   116959    1711   \n",
       "\n",
       "      TRAN_HH COMP_AUTO  COMP_TRAN AUTO_JB_WT  AUTO_HH_WT TRAN_JB_WT  \\\n",
       "0        1883    102822       2543   50717497     3128517    1254036   \n",
       "1        1773    101175       2195   38225637     6659586     823785   \n",
       "2           0         0          0          0           0          0   \n",
       "3           0         0          0          0           0          0   \n",
       "4           0     55845          0     725983           0          0   \n",
       "...       ...       ...        ...        ...         ...        ...   \n",
       "2853     3638    154340       6788   60472805    20980282    2714281   \n",
       "2854     2102         0          0          0           0          0   \n",
       "2855     2507    220503       3260  199482738     4712317    2934063   \n",
       "2856     4450    206653       4728  162499887    29165633    3511438   \n",
       "2857     1665    167913       1694    1428701      912281      12318   \n",
       "\n",
       "      TRAN_HH_WT  \n",
       "0          77568  \n",
       "1         154613  \n",
       "2              0  \n",
       "3              0  \n",
       "4              0  \n",
       "...          ...  \n",
       "2853      823616  \n",
       "2854           0  \n",
       "2855       96527  \n",
       "2856     1041339  \n",
       "2857       12989  \n",
       "\n",
       "[2858 rows x 42 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Index(['FID', 'TAZID_x', 'SA_TAZID', 'CO_TAZID', 'SUBAREAID', 'EXTERNAL',\n",
       "       'ACRES', 'DEVACRES_x', 'X', 'Y', 'ADJ_XY', 'CO_FIPS', 'CO_NAME',\n",
       "       'DISTSUPER', 'DSUP_NAME', 'DISTLRG', 'DLRG_NAME', 'DISTMED',\n",
       "       'DMED_NAME', 'DISTSML', 'DSML_NAME', 'CITY_NAME', 'IMX_GENRL',\n",
       "       'IMX_COALIX', 'IMX_OLGAIX', 'IMX_OLGAXI', 'IMX_PETRIX', 'SHAPE',\n",
       "       'TAZID_y', 'DEVACRES_y', 'HH', 'JOB', 'AUTO_JB', 'AUTO_HH', 'TRAN_JB',\n",
       "       'TRAN_HH', 'COMP_AUTO', 'COMP_TRAN', 'AUTO_JB_WT', 'AUTO_HH_WT',\n",
       "       'TRAN_JB_WT', 'TRAN_HH_WT'],\n",
       "      dtype='object')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Read in data to calculate ATO Scores by City Area\n",
    "\n",
    "# read in TAZ only for WFRC/MAG\n",
    "sdfTAZ = pd.DataFrame.spatial.from_featureclass(strTAZIn)\n",
    "sdfTAZ = sdfTAZ[sdfTAZ['SUBAREAID']==1]\n",
    "\n",
    "# read in TDM ATO output\n",
    "dfAtoWfrc = pd.read_csv(strAtoWfrc)\n",
    "\n",
    "# merge by CO_TAZID\n",
    "sdfTAZwithATO = pd.DataFrame.merge(sdfTAZ,dfAtoWfrc,on='CO_TAZID',how='left')\n",
    "\n",
    "display(sdfTAZwithATO)\n",
    "display(sdfTAZwithATO.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>CNTREC</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CITY_NAME</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Alpine</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Fork</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Benjamin</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bluffdale</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bountiful</th>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Point</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Valley City</th>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willard</th>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Woodland Hills</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Woods Cross</th>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>82 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  CNTREC\n",
       "CITY_NAME               \n",
       "Alpine                12\n",
       "American Fork         42\n",
       "Benjamin               6\n",
       "Bluffdale             19\n",
       "Bountiful             27\n",
       "...                  ...\n",
       "West Point             6\n",
       "West Valley City     104\n",
       "Willard               22\n",
       "Woodland Hills         2\n",
       "Woods Cross            9\n",
       "\n",
       "[82 rows x 1 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(sdfTAZwithATO.groupby(['CITY_NAME']).agg(CNTREC=('CO_TAZID','count')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['FID', 'TAZID_x', 'SA_TAZID', 'CO_TAZID', 'SUBAREAID', 'EXTERNAL',\n",
       "       'ACRES', 'DEVACRES_x', 'X', 'Y', 'ADJ_XY', 'CO_FIPS', 'CO_NAME',\n",
       "       'DISTSUPER', 'DSUP_NAME', 'DISTLRG', 'DLRG_NAME', 'DISTMED',\n",
       "       'DMED_NAME', 'DISTSML', 'DSML_NAME', 'CITY_NAME', 'IMX_GENRL',\n",
       "       'IMX_COALIX', 'IMX_OLGAIX', 'IMX_OLGAXI', 'IMX_PETRIX', 'SHAPE',\n",
       "       'TAZID_y', 'DEVACRES_y', 'HH', 'JOB', 'AUTO_JB', 'AUTO_HH', 'TRAN_JB',\n",
       "       'TRAN_HH', 'COMP_AUTO', 'COMP_TRAN', 'AUTO_JB_WT', 'AUTO_HH_WT',\n",
       "       'TRAN_JB_WT', 'TRAN_HH_WT'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdfTAZwithATO.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Program Files\\ArcGIS\\Pro\\bin\\Python\\envs\\arcgispro-py3\\lib\\site-packages\\pandas\\core\\indexing.py:1817: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_column(loc, value, pi)\n",
      "c:\\Program Files\\ArcGIS\\Pro\\bin\\Python\\envs\\arcgispro-py3\\lib\\site-packages\\pandas\\core\\indexing.py:1817: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_column(loc, value, pi)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\AccessibleJobsTransit'"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdfTAZwithATO['TAZID'] = sdfTAZwithATO['TAZID_x']\n",
    "sdfTAZwithATO[['TAZID','AUTO_JB','SHAPE']].spatial.to_featureclass(os.path.join(strGDB, r\"AccessibleJobsAuto\"),sanitize_columns=False)\n",
    "sdfTAZwithATO[['TAZID','TRAN_JB','SHAPE']].spatial.to_featureclass(os.path.join(strGDB, r\"AccessibleJobsTransit\"),sanitize_columns=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>CITY_NAME</th>\n",
       "      <th>CNTREC</th>\n",
       "      <th>AUTO_JB_max</th>\n",
       "      <th>TRAN_JB_max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alpine</td>\n",
       "      <td>12</td>\n",
       "      <td>136114</td>\n",
       "      <td>1177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>American Fork</td>\n",
       "      <td>42</td>\n",
       "      <td>195618</td>\n",
       "      <td>20113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Benjamin</td>\n",
       "      <td>6</td>\n",
       "      <td>88420</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bluffdale</td>\n",
       "      <td>19</td>\n",
       "      <td>227144</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bountiful</td>\n",
       "      <td>27</td>\n",
       "      <td>288207</td>\n",
       "      <td>13621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>West Point</td>\n",
       "      <td>6</td>\n",
       "      <td>100812</td>\n",
       "      <td>3019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>West Valley City</td>\n",
       "      <td>104</td>\n",
       "      <td>414856</td>\n",
       "      <td>46957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Willard</td>\n",
       "      <td>22</td>\n",
       "      <td>75456</td>\n",
       "      <td>2269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Woodland Hills</td>\n",
       "      <td>2</td>\n",
       "      <td>44474</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Woods Cross</td>\n",
       "      <td>9</td>\n",
       "      <td>274466</td>\n",
       "      <td>28203</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>82 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           CITY_NAME  CNTREC  AUTO_JB_max  TRAN_JB_max\n",
       "0             Alpine      12       136114         1177\n",
       "1      American Fork      42       195618        20113\n",
       "2           Benjamin       6        88420            0\n",
       "3          Bluffdale      19       227144            0\n",
       "4          Bountiful      27       288207        13621\n",
       "..               ...     ...          ...          ...\n",
       "77        West Point       6       100812         3019\n",
       "78  West Valley City     104       414856        46957\n",
       "79           Willard      22        75456         2269\n",
       "80    Woodland Hills       2        44474            0\n",
       "81       Woods Cross       9       274466        28203\n",
       "\n",
       "[82 rows x 4 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# use zeros where no jobs\n",
    "sdfTAZwithATO['AUTO_JB'].fillna(0, inplace=True)\n",
    "sdfTAZwithATO['TRAN_JB'].fillna(0, inplace=True)\n",
    "\n",
    "dfATOCalcs_CityMax = sdfTAZwithATO.groupby(['CITY_NAME'],as_index=False).agg(CNTREC=('CO_TAZID','count'),AUTO_JB_max=('AUTO_JB','max'),TRAN_JB_max=('TRAN_JB','max'))\n",
    "display(dfATOCalcs_CityMax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        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>FID</th>\n",
       "      <th>TAZID_x</th>\n",
       "      <th>SA_TAZID</th>\n",
       "      <th>CO_TAZID</th>\n",
       "      <th>SUBAREAID</th>\n",
       "      <th>EXTERNAL</th>\n",
       "      <th>ACRES</th>\n",
       "      <th>DEVACRES_x</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>...</th>\n",
       "      <th>COMP_TRAN</th>\n",
       "      <th>AUTO_JB_WT</th>\n",
       "      <th>AUTO_HH_WT</th>\n",
       "      <th>TRAN_JB_WT</th>\n",
       "      <th>TRAN_HH_WT</th>\n",
       "      <th>CNTREC</th>\n",
       "      <th>AUTO_JB_max</th>\n",
       "      <th>TRAN_JB_max</th>\n",
       "      <th>AUTO_JB_percentCityMax</th>\n",
       "      <th>TRAN_JB_percentCityMax</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5887</td>\n",
       "      <td>4022</td>\n",
       "      <td>460</td>\n",
       "      <td>110460</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>322.29</td>\n",
       "      <td>322.29</td>\n",
       "      <td>409807.97148</td>\n",
       "      <td>4.551224e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>2543</td>\n",
       "      <td>50717497</td>\n",
       "      <td>3128517</td>\n",
       "      <td>1254036</td>\n",
       "      <td>77568</td>\n",
       "      <td>13</td>\n",
       "      <td>115130</td>\n",
       "      <td>5928</td>\n",
       "      <td>0.904013</td>\n",
       "      <td>0.434042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5888</td>\n",
       "      <td>4023</td>\n",
       "      <td>461</td>\n",
       "      <td>110461</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>316.91</td>\n",
       "      <td>316.91</td>\n",
       "      <td>409818.05584</td>\n",
       "      <td>4.552025e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>2195</td>\n",
       "      <td>38225637</td>\n",
       "      <td>6659586</td>\n",
       "      <td>823785</td>\n",
       "      <td>154613</td>\n",
       "      <td>13</td>\n",
       "      <td>115130</td>\n",
       "      <td>5928</td>\n",
       "      <td>0.907166</td>\n",
       "      <td>0.379723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6328</td>\n",
       "      <td>3989</td>\n",
       "      <td>427</td>\n",
       "      <td>110427</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1142.45</td>\n",
       "      <td>1140.09</td>\n",
       "      <td>407425.18568</td>\n",
       "      <td>4.550026e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>82612070</td>\n",
       "      <td>3731692</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>115130</td>\n",
       "      <td>5928</td>\n",
       "      <td>0.627951</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6358</td>\n",
       "      <td>4021</td>\n",
       "      <td>459</td>\n",
       "      <td>110459</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>580.75</td>\n",
       "      <td>580.75</td>\n",
       "      <td>408401.59947</td>\n",
       "      <td>4.551572e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>35989787</td>\n",
       "      <td>13894086</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>115130</td>\n",
       "      <td>5928</td>\n",
       "      <td>0.789395</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6359</td>\n",
       "      <td>4024</td>\n",
       "      <td>462</td>\n",
       "      <td>110462</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>610.77</td>\n",
       "      <td>610.77</td>\n",
       "      <td>409824.85522</td>\n",
       "      <td>4.550044e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>3201</td>\n",
       "      <td>68037171</td>\n",
       "      <td>62344439</td>\n",
       "      <td>2549919</td>\n",
       "      <td>2080569</td>\n",
       "      <td>13</td>\n",
       "      <td>115130</td>\n",
       "      <td>5928</td>\n",
       "      <td>0.865239</td>\n",
       "      <td>0.629723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <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",
       "      <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>2853</th>\n",
       "      <td>8649</td>\n",
       "      <td>3830</td>\n",
       "      <td>265</td>\n",
       "      <td>570265</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1166.30</td>\n",
       "      <td>1074.54</td>\n",
       "      <td>406500.36115</td>\n",
       "      <td>4.561536e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>11499303</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>90291</td>\n",
       "      <td>0</td>\n",
       "      <td>0.912959</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2854</th>\n",
       "      <td>8654</td>\n",
       "      <td>3833</td>\n",
       "      <td>268</td>\n",
       "      <td>570268</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>876.73</td>\n",
       "      <td>876.36</td>\n",
       "      <td>406674.12779</td>\n",
       "      <td>4.559451e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>38509714</td>\n",
       "      <td>5621219</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>90291</td>\n",
       "      <td>0</td>\n",
       "      <td>0.871670</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2855</th>\n",
       "      <td>8655</td>\n",
       "      <td>3835</td>\n",
       "      <td>270</td>\n",
       "      <td>570270</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>854.10</td>\n",
       "      <td>854.02</td>\n",
       "      <td>404974.61909</td>\n",
       "      <td>4.557362e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>31416438</td>\n",
       "      <td>1834595</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>90291</td>\n",
       "      <td>0</td>\n",
       "      <td>0.766400</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2856</th>\n",
       "      <td>8471</td>\n",
       "      <td>5469</td>\n",
       "      <td>1914</td>\n",
       "      <td>491914</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6841.59</td>\n",
       "      <td>6836.33</td>\n",
       "      <td>417154.91880</td>\n",
       "      <td>4.446732e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>17044</td>\n",
       "      <td>0</td>\n",
       "      <td>0.960514</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2857</th>\n",
       "      <td>8634</td>\n",
       "      <td>5468</td>\n",
       "      <td>1913</td>\n",
       "      <td>491913</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1956.73</td>\n",
       "      <td>1956.73</td>\n",
       "      <td>419720.38835</td>\n",
       "      <td>4.444619e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>17044</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2858 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       FID  TAZID_x  SA_TAZID  CO_TAZID  SUBAREAID  EXTERNAL    ACRES  \\\n",
       "0     5887     4022       460    110460          1         0   322.29   \n",
       "1     5888     4023       461    110461          1         0   316.91   \n",
       "2     6328     3989       427    110427          1         0  1142.45   \n",
       "3     6358     4021       459    110459          1         0   580.75   \n",
       "4     6359     4024       462    110462          1         0   610.77   \n",
       "...    ...      ...       ...       ...        ...       ...      ...   \n",
       "2853  8649     3830       265    570265          1         0  1166.30   \n",
       "2854  8654     3833       268    570268          1         0   876.73   \n",
       "2855  8655     3835       270    570270          1         0   854.10   \n",
       "2856  8471     5469      1914    491914          1         0  6841.59   \n",
       "2857  8634     5468      1913    491913          1         0  1956.73   \n",
       "\n",
       "      DEVACRES_x             X             Y  ...  COMP_TRAN  AUTO_JB_WT  \\\n",
       "0         322.29  409807.97148  4.551224e+06  ...       2543    50717497   \n",
       "1         316.91  409818.05584  4.552025e+06  ...       2195    38225637   \n",
       "2        1140.09  407425.18568  4.550026e+06  ...          0    82612070   \n",
       "3         580.75  408401.59947  4.551572e+06  ...          0    35989787   \n",
       "4         610.77  409824.85522  4.550044e+06  ...       3201    68037171   \n",
       "...          ...           ...           ...  ...        ...         ...   \n",
       "2853     1074.54  406500.36115  4.561536e+06  ...          0    11499303   \n",
       "2854      876.36  406674.12779  4.559451e+06  ...          0    38509714   \n",
       "2855      854.02  404974.61909  4.557362e+06  ...          0    31416438   \n",
       "2856     6836.33  417154.91880  4.446732e+06  ...          0           0   \n",
       "2857     1956.73  419720.38835  4.444619e+06  ...          0           0   \n",
       "\n",
       "     AUTO_HH_WT  TRAN_JB_WT TRAN_HH_WT  CNTREC AUTO_JB_max  TRAN_JB_max  \\\n",
       "0       3128517     1254036      77568      13      115130         5928   \n",
       "1       6659586      823785     154613      13      115130         5928   \n",
       "2       3731692           0          0      13      115130         5928   \n",
       "3      13894086           0          0      13      115130         5928   \n",
       "4      62344439     2549919    2080569      13      115130         5928   \n",
       "...         ...         ...        ...     ...         ...          ...   \n",
       "2853          0           0          0       9       90291            0   \n",
       "2854    5621219           0          0       9       90291            0   \n",
       "2855    1834595           0          0       9       90291            0   \n",
       "2856          0           0          0       2       17044            0   \n",
       "2857          0           0          0       2       17044            0   \n",
       "\n",
       "     AUTO_JB_percentCityMax  TRAN_JB_percentCityMax  \n",
       "0                  0.904013                0.434042  \n",
       "1                  0.907166                0.379723  \n",
       "2                  0.627951                0.000000  \n",
       "3                  0.789395                0.000000  \n",
       "4                  0.865239                0.629723  \n",
       "...                     ...                     ...  \n",
       "2853               0.912959                0.000000  \n",
       "2854               0.871670                0.000000  \n",
       "2855               0.766400                0.000000  \n",
       "2856               0.960514                0.000000  \n",
       "2857               1.000000                0.000000  \n",
       "\n",
       "[2858 rows x 47 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdfATOCalcs_PercentMax = pd.DataFrame.merge(sdfTAZwithATO, dfATOCalcs_CityMax, on='CITY_NAME')\n",
    "sdfATOCalcs_PercentMax['AUTO_JB_percentCityMax'] = sdfATOCalcs_PercentMax['AUTO_JB'] / sdfATOCalcs_PercentMax['AUTO_JB_max']\n",
    "sdfATOCalcs_PercentMax['TRAN_JB_percentCityMax'] = sdfATOCalcs_PercentMax['TRAN_JB'] / sdfATOCalcs_PercentMax['TRAN_JB_max']\n",
    "sdfATOCalcs_PercentMax = sdfATOCalcs_PercentMax.fillna(0)\n",
    "sdfATOCalcs_PercentMax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CITY_NAME</th>\n",
       "      <th>NumTAZ</th>\n",
       "      <th>AutoMaxScore</th>\n",
       "      <th>TranMaxScore</th>\n",
       "      <th>AutoMinScore</th>\n",
       "      <th>TranMinScore</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alpine</td>\n",
       "      <td>12</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.690326</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>American Fork</td>\n",
       "      <td>42</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.715292</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Benjamin</td>\n",
       "      <td>6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.815675</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bluffdale</td>\n",
       "      <td>19</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.710272</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bountiful</td>\n",
       "      <td>27</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.570604</td>\n",
       "      <td>0.000000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>West Point</td>\n",
       "      <td>6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.764849</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>West Valley City</td>\n",
       "      <td>104</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.390724</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Willard</td>\n",
       "      <td>22</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.758575</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Woodland Hills</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.926654</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Woods Cross</td>\n",
       "      <td>9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.881832</td>\n",
       "      <td>0.060703</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>82 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           CITY_NAME  NumTAZ  AutoMaxScore  TranMaxScore  AutoMinScore  \\\n",
       "0             Alpine      12           1.0           1.0      0.690326   \n",
       "1      American Fork      42           1.0           1.0      0.715292   \n",
       "2           Benjamin       6           1.0           0.0      0.815675   \n",
       "3          Bluffdale      19           1.0           0.0      0.710272   \n",
       "4          Bountiful      27           1.0           1.0      0.570604   \n",
       "..               ...     ...           ...           ...           ...   \n",
       "77        West Point       6           1.0           1.0      0.764849   \n",
       "78  West Valley City     104           1.0           1.0      0.390724   \n",
       "79           Willard      22           1.0           1.0      0.758575   \n",
       "80    Woodland Hills       2           1.0           0.0      0.926654   \n",
       "81       Woods Cross       9           1.0           1.0      0.881832   \n",
       "\n",
       "    TranMinScore  \n",
       "0       0.000000  \n",
       "1       0.000000  \n",
       "2       0.000000  \n",
       "3       0.000000  \n",
       "4       0.000000  \n",
       "..           ...  \n",
       "77      0.000000  \n",
       "78      0.000000  \n",
       "79      0.000000  \n",
       "80      0.000000  \n",
       "81      0.060703  \n",
       "\n",
       "[82 rows x 6 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check max scores for all cities to make sure equals 1\n",
    "dfCheck = sdfATOCalcs_PercentMax.groupby(['CITY_NAME'],as_index=False).agg(NumTAZ=('CO_TAZID','count'),AutoMaxScore=('AUTO_JB_percentCityMax','max'),TranMaxScore=('TRAN_JB_percentCityMax','max'),AutoMinScore=('AUTO_JB_percentCityMax','min'),TranMinScore=('TRAN_JB_percentCityMax','min'))\n",
    "dfCheck"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\TAZWithATOScores'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdfATOScores = sdfATOCalcs_PercentMax[['CO_TAZID','AUTO_JB_percentCityMax','TRAN_JB_percentCityMax','SHAPE']]\n",
    "sdfATOScores = sdfATOScores.rename(columns={'AUTO_JB_percentCityMax':'ATO_Auto_Score','TRAN_JB_percentCityMax':'ATO_Tran_Score'})\n",
    "sdfATOScores.spatial.to_featureclass(strTAZwithATOOut,sanitize_columns=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Day Care Centers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\ChildCare'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Geolocate Day Care Centers - DONE PREVIOUSLY WITH WEBER CO WORK\n",
    "#arcpy.agrcgeocoding.GeocodeTable(\"AGRC-2B10133F988346 \", \"'report - 2022-02-18T121554#372$'\", \"ID_NUMBER\", \"LOCATION_ADDRESS_ONE\", \"LOCATION_ZIP_CODE\", r\"E:\\GitHub\\Housing-Affordability-Weber-County\\intermediate\\daycare_georeference\", 'PROJCS[\"NAD_1983_UTM_Zone_12N\",GEOGCS[\"GCS_North_American_1983\",DATUM[\"D_North_American_1983\",SPHEROID[\"GRS_1980\",6378137.0,298.257222101]],PRIMEM[\"Greenwich\",0.0],UNIT[\"Degree\",0.0174532925199433]],PROJECTION[\"Transverse_Mercator\"],PARAMETER[\"False_Easting\",500000.0],PARAMETER[\"False_Northing\",0.0],PARAMETER[\"Central_Meridian\",-111.0],PARAMETER[\"Scale_Factor\",0.9996],PARAMETER[\"Latitude_Of_Origin\",0.0],UNIT[\"Meter\",1.0]];-5120900 -9998100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision', \"Address points and road centerlines\")\n",
    "\n",
    "\n",
    "sdfChildCare = pd.DataFrame.spatial.from_featureclass(strChildCareIn)\n",
    "sdfChildCare.spatial.to_featureclass(strChildCareOut,sanitize_columns=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Schools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Program Files\\ArcGIS\\Pro\\bin\\Python\\envs\\arcgispro-py3\\lib\\site-packages\\pandas\\core\\indexing.py:1817: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_column(loc, value, pi)\n"
     ]
    },
    {
     "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>FID</th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>DISTRICT</th>\n",
       "      <th>SCHOOL</th>\n",
       "      <th>LEANUM</th>\n",
       "      <th>SCHOOLNUM</th>\n",
       "      <th>SCHOOLTYPE</th>\n",
       "      <th>EDTYPE</th>\n",
       "      <th>GRADELOW</th>\n",
       "      <th>GRADEHIGH</th>\n",
       "      <th>ADDRESS</th>\n",
       "      <th>CITY</th>\n",
       "      <th>ZIP</th>\n",
       "      <th>PHONE</th>\n",
       "      <th>WEB</th>\n",
       "      <th>SHAPE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>ALPINE</td>\n",
       "      <td>RIVER ROCK SCHOOL</td>\n",
       "      <td>1</td>\n",
       "      <td>201</td>\n",
       "      <td></td>\n",
       "      <td>Regular Education</td>\n",
       "      <td>PK</td>\n",
       "      <td>6</td>\n",
       "      <td>520 N 1700 W</td>\n",
       "      <td>LEHI</td>\n",
       "      <td>84043</td>\n",
       "      <td>8016108731</td>\n",
       "      <td>www.alpineschools.org</td>\n",
       "      <td>{\"x\": -12453995.4252, \"y\": 4923363.086099997, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>ALPINE</td>\n",
       "      <td>SKYRIDGE HIGH SCHOOL</td>\n",
       "      <td>1</td>\n",
       "      <td>785</td>\n",
       "      <td></td>\n",
       "      <td>Regular Education</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>3000 NORTH CENTER STREET</td>\n",
       "      <td>LEHI</td>\n",
       "      <td>84043</td>\n",
       "      <td>8016108820</td>\n",
       "      <td>shs.alpineschools.org</td>\n",
       "      <td>{\"x\": -12450876.2469, \"y\": 4928046.874799997, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>ALPINE</td>\n",
       "      <td>SPRINGSIDE SCHOOL</td>\n",
       "      <td>1</td>\n",
       "      <td>202</td>\n",
       "      <td></td>\n",
       "      <td>Regular Education</td>\n",
       "      <td>K</td>\n",
       "      <td>6</td>\n",
       "      <td>694 S HIGHPOINT DRIVE</td>\n",
       "      <td>SARATOGA SPRINGS</td>\n",
       "      <td>84045</td>\n",
       "      <td>8016108400</td>\n",
       "      <td>springside.alpineschools.org</td>\n",
       "      <td>{\"x\": -12458088.528, \"y\": 4916832.835900001, \"...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>ALPINE</td>\n",
       "      <td>ALTA INDEPENDENT</td>\n",
       "      <td>AL</td>\n",
       "      <td>955</td>\n",
       "      <td>Private School</td>\n",
       "      <td>Regular Education</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>575 E UNIVERSITY PARKWAY SUITE E212</td>\n",
       "      <td>OREM</td>\n",
       "      <td>84097</td>\n",
       "      <td>8884239192</td>\n",
       "      <td>www.altaindependent.com</td>\n",
       "      <td>{\"x\": -12433183.5485, \"y\": 4905551.921300001, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>JORDAN</td>\n",
       "      <td>AMERICAN ACADEMY OF INNOVATION</td>\n",
       "      <td>8K</td>\n",
       "      <td>700</td>\n",
       "      <td>Charter School</td>\n",
       "      <td>Regular Education</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>5410 W SOUTH JORDAN PARKWAY</td>\n",
       "      <td>SOUTH JORDAN</td>\n",
       "      <td>84009</td>\n",
       "      <td>8018104786</td>\n",
       "      <td>www.aaiutah.org</td>\n",
       "      <td>{\"x\": -12470029.2796, \"y\": 4947204.268700004, ...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1264</th>\n",
       "      <td>1264</td>\n",
       "      <td>1265</td>\n",
       "      <td>GRANITE</td>\n",
       "      <td>ACADEMY FOR MATH ENGINEERING &amp; SCIENCE (AMES)</td>\n",
       "      <td>83</td>\n",
       "      <td>700</td>\n",
       "      <td>Charter School</td>\n",
       "      <td>Regular Education</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>5715 S 1300 E</td>\n",
       "      <td>SALT LAKE CITY</td>\n",
       "      <td>84121</td>\n",
       "      <td>8012789460</td>\n",
       "      <td>http://www.ames-slc.org/</td>\n",
       "      <td>{\"x\": -12451461.5151, \"y\": 4960353.776900001, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1267</th>\n",
       "      <td>1267</td>\n",
       "      <td>1268</td>\n",
       "      <td>CACHE COUNTY</td>\n",
       "      <td>HERITAGE SCHOOL</td>\n",
       "      <td>4</td>\n",
       "      <td>120</td>\n",
       "      <td></td>\n",
       "      <td>Regular Education</td>\n",
       "      <td>K</td>\n",
       "      <td>6</td>\n",
       "      <td>925 W 3200 S</td>\n",
       "      <td>LOGAN</td>\n",
       "      <td>84321</td>\n",
       "      <td>4357927696</td>\n",
       "      <td>http://www.ccsdut.org/Heritage.cfm</td>\n",
       "      <td>{\"x\": -12451745.385, \"y\": 5112568.022600003, \"...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1268</th>\n",
       "      <td>1268</td>\n",
       "      <td>1269</td>\n",
       "      <td>PARK CITY</td>\n",
       "      <td>MCPOLIN PRESCHOOL</td>\n",
       "      <td>22</td>\n",
       "      <td>108</td>\n",
       "      <td></td>\n",
       "      <td>Regular Education</td>\n",
       "      <td>PK</td>\n",
       "      <td>5</td>\n",
       "      <td>2270 KEARNS BLVD</td>\n",
       "      <td>PARK CITY</td>\n",
       "      <td>84060</td>\n",
       "      <td>4356455630</td>\n",
       "      <td></td>\n",
       "      <td>{\"x\": -12411335.7628, \"y\": 4963721.682599999, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1273</th>\n",
       "      <td>1273</td>\n",
       "      <td>1274</td>\n",
       "      <td>CANYONS</td>\n",
       "      <td>MIDVALE ELEMENTARY SCHOOL</td>\n",
       "      <td>42</td>\n",
       "      <td>683</td>\n",
       "      <td></td>\n",
       "      <td>Regular Education</td>\n",
       "      <td>K</td>\n",
       "      <td>5</td>\n",
       "      <td>7830 S CHAPEL ST</td>\n",
       "      <td>MIDVALE</td>\n",
       "      <td>84047</td>\n",
       "      <td>8018268725</td>\n",
       "      <td>http://midvale.canyonsdistrict.org/</td>\n",
       "      <td>{\"x\": -12456969.053399999, \"y\": 4954793.345799...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1274</th>\n",
       "      <td>1274</td>\n",
       "      <td>1275</td>\n",
       "      <td>DAVIS COUNTY</td>\n",
       "      <td>FARMINGTON HIGH SCHOOL</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Regular Education</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>548 W GLOVERS LN</td>\n",
       "      <td>FARMINGTON</td>\n",
       "      <td>84025</td>\n",
       "      <td>8014029050</td>\n",
       "      <td>https://fhs.davis.k12.ut.us/</td>\n",
       "      <td>{\"x\": -12456600.9232, \"y\": 5007307.300499998, ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1030 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       FID  OBJECTID      DISTRICT  \\\n",
       "0        0         1        ALPINE   \n",
       "1        1         2        ALPINE   \n",
       "2        2         3        ALPINE   \n",
       "4        4         5        ALPINE   \n",
       "5        5         6        JORDAN   \n",
       "...    ...       ...           ...   \n",
       "1264  1264      1265       GRANITE   \n",
       "1267  1267      1268  CACHE COUNTY   \n",
       "1268  1268      1269     PARK CITY   \n",
       "1273  1273      1274       CANYONS   \n",
       "1274  1274      1275  DAVIS COUNTY   \n",
       "\n",
       "                                             SCHOOL LEANUM SCHOOLNUM  \\\n",
       "0                                 RIVER ROCK SCHOOL      1       201   \n",
       "1                              SKYRIDGE HIGH SCHOOL      1       785   \n",
       "2                                 SPRINGSIDE SCHOOL      1       202   \n",
       "4                                  ALTA INDEPENDENT     AL       955   \n",
       "5                    AMERICAN ACADEMY OF INNOVATION     8K       700   \n",
       "...                                             ...    ...       ...   \n",
       "1264  ACADEMY FOR MATH ENGINEERING & SCIENCE (AMES)     83       700   \n",
       "1267                                HERITAGE SCHOOL      4       120   \n",
       "1268                              MCPOLIN PRESCHOOL     22       108   \n",
       "1273                      MIDVALE ELEMENTARY SCHOOL     42       683   \n",
       "1274                         FARMINGTON HIGH SCHOOL                    \n",
       "\n",
       "          SCHOOLTYPE             EDTYPE GRADELOW GRADEHIGH  \\\n",
       "0                     Regular Education       PK         6   \n",
       "1                     Regular Education       10        12   \n",
       "2                     Regular Education        K         6   \n",
       "4     Private School  Regular Education        6        12   \n",
       "5     Charter School  Regular Education        6        12   \n",
       "...              ...                ...      ...       ...   \n",
       "1264  Charter School  Regular Education        9        12   \n",
       "1267                  Regular Education        K         6   \n",
       "1268                  Regular Education       PK         5   \n",
       "1273                  Regular Education        K         5   \n",
       "1274                  Regular Education       10        12   \n",
       "\n",
       "                                  ADDRESS              CITY    ZIP  \\\n",
       "0                            520 N 1700 W              LEHI  84043   \n",
       "1                3000 NORTH CENTER STREET              LEHI  84043   \n",
       "2                   694 S HIGHPOINT DRIVE  SARATOGA SPRINGS  84045   \n",
       "4     575 E UNIVERSITY PARKWAY SUITE E212              OREM  84097   \n",
       "5             5410 W SOUTH JORDAN PARKWAY      SOUTH JORDAN  84009   \n",
       "...                                   ...               ...    ...   \n",
       "1264                        5715 S 1300 E    SALT LAKE CITY  84121   \n",
       "1267                         925 W 3200 S             LOGAN  84321   \n",
       "1268                     2270 KEARNS BLVD         PARK CITY  84060   \n",
       "1273                     7830 S CHAPEL ST           MIDVALE  84047   \n",
       "1274                     548 W GLOVERS LN        FARMINGTON  84025   \n",
       "\n",
       "           PHONE                                  WEB  \\\n",
       "0     8016108731                www.alpineschools.org   \n",
       "1     8016108820                shs.alpineschools.org   \n",
       "2     8016108400         springside.alpineschools.org   \n",
       "4     8884239192              www.altaindependent.com   \n",
       "5     8018104786                      www.aaiutah.org   \n",
       "...          ...                                  ...   \n",
       "1264  8012789460             http://www.ames-slc.org/   \n",
       "1267  4357927696   http://www.ccsdut.org/Heritage.cfm   \n",
       "1268  4356455630                                        \n",
       "1273  8018268725  http://midvale.canyonsdistrict.org/   \n",
       "1274  8014029050         https://fhs.davis.k12.ut.us/   \n",
       "\n",
       "                                                  SHAPE  \n",
       "0     {\"x\": -12453995.4252, \"y\": 4923363.086099997, ...  \n",
       "1     {\"x\": -12450876.2469, \"y\": 4928046.874799997, ...  \n",
       "2     {\"x\": -12458088.528, \"y\": 4916832.835900001, \"...  \n",
       "4     {\"x\": -12433183.5485, \"y\": 4905551.921300001, ...  \n",
       "5     {\"x\": -12470029.2796, \"y\": 4947204.268700004, ...  \n",
       "...                                                 ...  \n",
       "1264  {\"x\": -12451461.5151, \"y\": 4960353.776900001, ...  \n",
       "1267  {\"x\": -12451745.385, \"y\": 5112568.022600003, \"...  \n",
       "1268  {\"x\": -12411335.7628, \"y\": 4963721.682599999, ...  \n",
       "1273  {\"x\": -12456969.053399999, \"y\": 4954793.345799...  \n",
       "1274  {\"x\": -12456600.9232, \"y\": 5007307.300499998, ...  \n",
       "\n",
       "[1030 rows x 16 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Program Files\\ArcGIS\\Pro\\bin\\Python\\envs\\arcgispro-py3\\lib\\site-packages\\pandas\\core\\indexing.py:1817: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_column(loc, value, pi)\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
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       "        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>FID</th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>DISTRICT</th>\n",
       "      <th>SCHOOL</th>\n",
       "      <th>LEANUM</th>\n",
       "      <th>SCHOOLNUM</th>\n",
       "      <th>SCHOOLTYPE</th>\n",
       "      <th>EDTYPE</th>\n",
       "      <th>GRADELOW</th>\n",
       "      <th>GRADEHIGH</th>\n",
       "      <th>ADDRESS</th>\n",
       "      <th>CITY</th>\n",
       "      <th>ZIP</th>\n",
       "      <th>PHONE</th>\n",
       "      <th>WEB</th>\n",
       "      <th>SHAPE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>488</td>\n",
       "      <td>489</td>\n",
       "      <td>OGDEN CITY</td>\n",
       "      <td>OGDEN-WEBER ATC</td>\n",
       "      <td>1 3 4 35 37</td>\n",
       "      <td>44</td>\n",
       "      <td>Regional Campus</td>\n",
       "      <td>Higher Education</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>200 N WASHINGTON BLVD</td>\n",
       "      <td>OGDEN</td>\n",
       "      <td>84404</td>\n",
       "      <td>8016278300</td>\n",
       "      <td>http://www.owatc.edu/</td>\n",
       "      <td>{\"x\": -12463714.8718, \"y\": 5051366.219400004, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>494</td>\n",
       "      <td>495</td>\n",
       "      <td>LOGAN CITY</td>\n",
       "      <td>BRIDGERLAND ATC</td>\n",
       "      <td>1 3 4 24 39</td>\n",
       "      <td>45</td>\n",
       "      <td>Regional Campus</td>\n",
       "      <td>Higher Education</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>1301 N 600 W</td>\n",
       "      <td>LOGAN</td>\n",
       "      <td>84321</td>\n",
       "      <td>4357536780</td>\n",
       "      <td>http://www.batc.edu/</td>\n",
       "      <td>{\"x\": -12451147.5889, \"y\": 5124555.626500003, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>582</th>\n",
       "      <td>582</td>\n",
       "      <td>583</td>\n",
       "      <td>OGDEN CITY</td>\n",
       "      <td>WEBER STATE UNIVERSITY</td>\n",
       "      <td>1 35 37</td>\n",
       "      <td>54</td>\n",
       "      <td>Residential Campus</td>\n",
       "      <td>Higher Education</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>1001 UNIVERSITY CIR</td>\n",
       "      <td>OGDEN</td>\n",
       "      <td>84408</td>\n",
       "      <td>8016266000</td>\n",
       "      <td>https://www.weber.edu/</td>\n",
       "      <td>{\"x\": -12461732.3555, \"y\": 5040825.033799998, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>587</th>\n",
       "      <td>587</td>\n",
       "      <td>588</td>\n",
       "      <td>IRON COUNTY</td>\n",
       "      <td>SOUTHERN UTAH UNIVERSITY</td>\n",
       "      <td>2 13</td>\n",
       "      <td>56</td>\n",
       "      <td>Residential Campus</td>\n",
       "      <td>Higher Education</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>351 W CENTER ST</td>\n",
       "      <td>CEDAR CITY</td>\n",
       "      <td>84720</td>\n",
       "      <td>4355867700</td>\n",
       "      <td>http://www.suu.edu/</td>\n",
       "      <td>{\"x\": -12586960.887, \"y\": 4533694.3191, \"spati...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>605</th>\n",
       "      <td>605</td>\n",
       "      <td>606</td>\n",
       "      <td>SEVIER COUNTY</td>\n",
       "      <td>SNOW COLLEGE RICHFIELD</td>\n",
       "      <td>1 10 20 23 26 27 34</td>\n",
       "      <td>46</td>\n",
       "      <td>Regional Campus</td>\n",
       "      <td>Higher Education</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>800 W 200 S</td>\n",
       "      <td>RICHFIELD</td>\n",
       "      <td>84701</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>{\"x\": -12478717.844700001, \"y\": 4688235.8204, ...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1266</th>\n",
       "      <td>1266</td>\n",
       "      <td>1267</td>\n",
       "      <td>RICH COUNTY</td>\n",
       "      <td>BRIDGERLAND ATC</td>\n",
       "      <td>1 3 4 24 39</td>\n",
       "      <td>45</td>\n",
       "      <td>Regional Campus</td>\n",
       "      <td>Higher Education</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>1200 REDWOOD RD</td>\n",
       "      <td>WOODRUFF</td>\n",
       "      <td>84086</td>\n",
       "      <td>4357934500</td>\n",
       "      <td>http://www.batc.edu/</td>\n",
       "      <td>{\"x\": -12375581.5988, \"y\": 5099350.307400003, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1269</th>\n",
       "      <td>1269</td>\n",
       "      <td>1270</td>\n",
       "      <td>CANYONS</td>\n",
       "      <td>SALT LAKE COMMUNITY COLLEGE MILLER CAMPUS</td>\n",
       "      <td>1 12 14 21 36 40</td>\n",
       "      <td>49</td>\n",
       "      <td>Regional Campus</td>\n",
       "      <td>Higher Education</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>9750 S 300 W</td>\n",
       "      <td>SANDY</td>\n",
       "      <td>84070</td>\n",
       "      <td>3859574111</td>\n",
       "      <td>http://www.slcc.edu/</td>\n",
       "      <td>{\"x\": -12456851.3424, \"y\": 4949785.659900002, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270</th>\n",
       "      <td>1270</td>\n",
       "      <td>1271</td>\n",
       "      <td>JORDAN</td>\n",
       "      <td>SALT LAKE COMMUNITY COLLEGE JORDAN CAMPUS</td>\n",
       "      <td>1 12 14 21 36 40</td>\n",
       "      <td>49</td>\n",
       "      <td>Regional Campus</td>\n",
       "      <td>Higher Education</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>3491 W WIGHTS FORT RD</td>\n",
       "      <td>WEST JORDAN</td>\n",
       "      <td>84088</td>\n",
       "      <td></td>\n",
       "      <td>http://www.slcc.edu/</td>\n",
       "      <td>{\"x\": -12464923.1545, \"y\": 4951265.9494, \"spat...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1271</th>\n",
       "      <td>1271</td>\n",
       "      <td>1272</td>\n",
       "      <td>GRANITE</td>\n",
       "      <td>SALT LAKE COMMUNITY COLLEGE WEST VALLEY CENTER</td>\n",
       "      <td>1 12 14 21 36 40</td>\n",
       "      <td>49</td>\n",
       "      <td>Regional Campus</td>\n",
       "      <td>Higher Education</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>3460 S 5600 W</td>\n",
       "      <td>WEST VALLEY CITY</td>\n",
       "      <td>84128</td>\n",
       "      <td></td>\n",
       "      <td>http://www.slcc.edu/</td>\n",
       "      <td>{\"x\": -12470737.3688, \"y\": 4967794.193899997, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1272</th>\n",
       "      <td>1272</td>\n",
       "      <td>1273</td>\n",
       "      <td>UINTAH COUNTY</td>\n",
       "      <td>UINTAH BASIN ATC</td>\n",
       "      <td>6 8 31</td>\n",
       "      <td>47</td>\n",
       "      <td>Regional Campus</td>\n",
       "      <td>Higher Education</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>450 N 2000 W</td>\n",
       "      <td>VERNAL</td>\n",
       "      <td>84078</td>\n",
       "      <td>4357257100</td>\n",
       "      <td></td>\n",
       "      <td>{\"x\": -12196800.509100001, \"y\": 4933205.7042, ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>65 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       FID  OBJECTID       DISTRICT  \\\n",
       "488    488       489     OGDEN CITY   \n",
       "494    494       495     LOGAN CITY   \n",
       "582    582       583     OGDEN CITY   \n",
       "587    587       588    IRON COUNTY   \n",
       "605    605       606  SEVIER COUNTY   \n",
       "...    ...       ...            ...   \n",
       "1266  1266      1267    RICH COUNTY   \n",
       "1269  1269      1270        CANYONS   \n",
       "1270  1270      1271         JORDAN   \n",
       "1271  1271      1272        GRANITE   \n",
       "1272  1272      1273  UINTAH COUNTY   \n",
       "\n",
       "                                              SCHOOL               LEANUM  \\\n",
       "488                                  OGDEN-WEBER ATC          1 3 4 35 37   \n",
       "494                                  BRIDGERLAND ATC          1 3 4 24 39   \n",
       "582                           WEBER STATE UNIVERSITY              1 35 37   \n",
       "587                         SOUTHERN UTAH UNIVERSITY                 2 13   \n",
       "605                           SNOW COLLEGE RICHFIELD  1 10 20 23 26 27 34   \n",
       "...                                              ...                  ...   \n",
       "1266                                 BRIDGERLAND ATC          1 3 4 24 39   \n",
       "1269       SALT LAKE COMMUNITY COLLEGE MILLER CAMPUS     1 12 14 21 36 40   \n",
       "1270       SALT LAKE COMMUNITY COLLEGE JORDAN CAMPUS     1 12 14 21 36 40   \n",
       "1271  SALT LAKE COMMUNITY COLLEGE WEST VALLEY CENTER     1 12 14 21 36 40   \n",
       "1272                                UINTAH BASIN ATC               6 8 31   \n",
       "\n",
       "     SCHOOLNUM          SCHOOLTYPE            EDTYPE GRADELOW GRADEHIGH  \\\n",
       "488         44     Regional Campus  Higher Education        9        12   \n",
       "494         45     Regional Campus  Higher Education        9        12   \n",
       "582         54  Residential Campus  Higher Education        9        12   \n",
       "587         56  Residential Campus  Higher Education        9        12   \n",
       "605         46     Regional Campus  Higher Education        9        12   \n",
       "...        ...                 ...               ...      ...       ...   \n",
       "1266        45     Regional Campus  Higher Education        9        12   \n",
       "1269        49     Regional Campus  Higher Education        9        12   \n",
       "1270        49     Regional Campus  Higher Education        9        12   \n",
       "1271        49     Regional Campus  Higher Education        9        12   \n",
       "1272        47     Regional Campus  Higher Education        9        12   \n",
       "\n",
       "                    ADDRESS              CITY    ZIP       PHONE  \\\n",
       "488   200 N WASHINGTON BLVD             OGDEN  84404  8016278300   \n",
       "494            1301 N 600 W             LOGAN  84321  4357536780   \n",
       "582     1001 UNIVERSITY CIR             OGDEN  84408  8016266000   \n",
       "587         351 W CENTER ST        CEDAR CITY  84720  4355867700   \n",
       "605             800 W 200 S         RICHFIELD  84701               \n",
       "...                     ...               ...    ...         ...   \n",
       "1266        1200 REDWOOD RD          WOODRUFF  84086  4357934500   \n",
       "1269           9750 S 300 W             SANDY  84070  3859574111   \n",
       "1270  3491 W WIGHTS FORT RD       WEST JORDAN  84088               \n",
       "1271          3460 S 5600 W  WEST VALLEY CITY  84128               \n",
       "1272           450 N 2000 W            VERNAL  84078  4357257100   \n",
       "\n",
       "                         WEB  \\\n",
       "488    http://www.owatc.edu/   \n",
       "494     http://www.batc.edu/   \n",
       "582   https://www.weber.edu/   \n",
       "587      http://www.suu.edu/   \n",
       "605                            \n",
       "...                      ...   \n",
       "1266    http://www.batc.edu/   \n",
       "1269    http://www.slcc.edu/   \n",
       "1270    http://www.slcc.edu/   \n",
       "1271    http://www.slcc.edu/   \n",
       "1272                           \n",
       "\n",
       "                                                  SHAPE  \n",
       "488   {\"x\": -12463714.8718, \"y\": 5051366.219400004, ...  \n",
       "494   {\"x\": -12451147.5889, \"y\": 5124555.626500003, ...  \n",
       "582   {\"x\": -12461732.3555, \"y\": 5040825.033799998, ...  \n",
       "587   {\"x\": -12586960.887, \"y\": 4533694.3191, \"spati...  \n",
       "605   {\"x\": -12478717.844700001, \"y\": 4688235.8204, ...  \n",
       "...                                                 ...  \n",
       "1266  {\"x\": -12375581.5988, \"y\": 5099350.307400003, ...  \n",
       "1269  {\"x\": -12456851.3424, \"y\": 4949785.659900002, ...  \n",
       "1270  {\"x\": -12464923.1545, \"y\": 4951265.9494, \"spat...  \n",
       "1271  {\"x\": -12470737.3688, \"y\": 4967794.193899997, ...  \n",
       "1272  {\"x\": -12196800.509100001, \"y\": 4933205.7042, ...  \n",
       "\n",
       "[65 rows x 16 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# read in school data\n",
    "sdfSchools = pd.DataFrame.spatial.from_featureclass(strSchoolsIn)\n",
    "\n",
    "# public K-12 schools\n",
    "sdfSchoolsRegPub = sdfSchools[(sdfSchools['EDTYPE'].isin(['Regular Education'])) & ~(sdfSchools['EDTYPE'].isin(['Public', 'Online School', 'Regional Campus', 'Private School', 'Online Private School', 'Online Charter School', 'Charter School']))]\n",
    "sdfSchoolsRegPub.spatial.to_featureclass(strSchoolsOut_RegPub,sanitize_columns=False)\n",
    "display(sdfSchoolsRegPub)\n",
    "\n",
    "# higher ed schools\n",
    "sdfSchoolsHighEd = sdfSchools[(sdfSchools['EDTYPE'].isin(['Higher Education']))]\n",
    "sdfSchoolsHighEd.spatial.to_featureclass(strSchoolsOut_HighEd,sanitize_columns=False)\n",
    "display(sdfSchoolsHighEd)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Active Transportation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\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>FID</th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>ProjectID</th>\n",
       "      <th>Project</th>\n",
       "      <th>ProjFrom</th>\n",
       "      <th>ProjTo</th>\n",
       "      <th>ProjType</th>\n",
       "      <th>Length_mi</th>\n",
       "      <th>PhaseNeed</th>\n",
       "      <th>Cost2019</th>\n",
       "      <th>CostPhased</th>\n",
       "      <th>Notes</th>\n",
       "      <th>Disclaimer</th>\n",
       "      <th>SHAPE_Leng</th>\n",
       "      <th>SHAPE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>A-B-2</td>\n",
       "      <td>400 East to 700 North</td>\n",
       "      <td>600 North</td>\n",
       "      <td>Highland Boulevard</td>\n",
       "      <td>Shared Use Path</td>\n",
       "      <td>0.5</td>\n",
       "      <td>2</td>\n",
       "      <td>$510,000</td>\n",
       "      <td>$950,000</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1092.964798</td>\n",
       "      <td>{\"paths\": [[[-12468807.686900001, 5089759.1957...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>A-B-5</td>\n",
       "      <td>Forest Street</td>\n",
       "      <td>Bear River Bird Refuge</td>\n",
       "      <td>600 East</td>\n",
       "      <td>Shared Use Path</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1</td>\n",
       "      <td>$3,390,000</td>\n",
       "      <td>$4,290,000</td>\n",
       "      <td></td>\n",
       "      <td>The planned active transportation solution may...</td>\n",
       "      <td>7286.228318</td>\n",
       "      <td>{\"paths\": [[[-12468487.932300001, 5087567.0917...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>A-B-7</td>\n",
       "      <td>Eagle Mountain Trail</td>\n",
       "      <td>FrontRunner Trail</td>\n",
       "      <td>200 South</td>\n",
       "      <td>Shared Use Path</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1</td>\n",
       "      <td>$3,350,000</td>\n",
       "      <td>$4,240,000</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>7203.844683</td>\n",
       "      <td>{\"paths\": [[[-12472577.2059, 5084401.817400001...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>A-B-8</td>\n",
       "      <td>700 South / 700 South Trail</td>\n",
       "      <td>1200 West</td>\n",
       "      <td>Eagle Mountain Trail</td>\n",
       "      <td>Shared Use Path</td>\n",
       "      <td>2.6</td>\n",
       "      <td>1</td>\n",
       "      <td>$2,560,000</td>\n",
       "      <td>$3,240,000</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5504.650336</td>\n",
       "      <td>{\"paths\": [[[-12467370.2507, 5085639.740099996...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>A-B-13</td>\n",
       "      <td>750 North</td>\n",
       "      <td>SR-315</td>\n",
       "      <td>Bonneville Shoreline Trail</td>\n",
       "      <td>Shared Use Path</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2</td>\n",
       "      <td>$2,090,000</td>\n",
       "      <td>$3,920,000</td>\n",
       "      <td></td>\n",
       "      <td>The planned active transportation solution may...</td>\n",
       "      <td>4486.990371</td>\n",
       "      <td>{\"paths\": [[[-12473782.883299999, 5074717.7242...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>665</th>\n",
       "      <td>665</td>\n",
       "      <td>2973</td>\n",
       "      <td>A-S-396</td>\n",
       "      <td>Crescent Willow Creek Trail</td>\n",
       "      <td>11400 South</td>\n",
       "      <td>Windmill Gate</td>\n",
       "      <td>Shared Use Path</td>\n",
       "      <td>0.9</td>\n",
       "      <td>3</td>\n",
       "      <td>$735,000</td>\n",
       "      <td>$1,870,000</td>\n",
       "      <td>&lt;b&gt;&lt;u&gt;Amendment 3&lt;/u&gt;&lt;/b&gt;&lt;br/&gt;New Project.</td>\n",
       "      <td></td>\n",
       "      <td>1849.337149</td>\n",
       "      <td>{\"paths\": [[[-12457281.5279, 4943898.223899998...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>666</th>\n",
       "      <td>666</td>\n",
       "      <td>2974</td>\n",
       "      <td>A-S-397</td>\n",
       "      <td>7000 South</td>\n",
       "      <td>3760 West</td>\n",
       "      <td>Jordan River Parkway</td>\n",
       "      <td>Shared Use Path</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>$3,000,000</td>\n",
       "      <td>$7,690,000</td>\n",
       "      <td>&lt;b&gt;&lt;u&gt;Amendment 3&lt;/u&gt;&lt;/b&gt;&lt;br/&gt;New Project.</td>\n",
       "      <td></td>\n",
       "      <td>6359.664569</td>\n",
       "      <td>{\"paths\": [[[-12465592.071899999, 4956932.8522...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>667</th>\n",
       "      <td>667</td>\n",
       "      <td>2975</td>\n",
       "      <td>A-S-398</td>\n",
       "      <td>TRAX Rail Trail</td>\n",
       "      <td>Utah Lake Distribution Trail</td>\n",
       "      <td>Jordan River Parkway Trail</td>\n",
       "      <td>Shared Use Path</td>\n",
       "      <td>3.1</td>\n",
       "      <td>3</td>\n",
       "      <td>$2,647,000</td>\n",
       "      <td>$6,790,000</td>\n",
       "      <td>&lt;b&gt;&lt;u&gt;Amendment 3&lt;/u&gt;&lt;/b&gt;&lt;br/&gt;New Project.</td>\n",
       "      <td></td>\n",
       "      <td>6541.294345</td>\n",
       "      <td>{\"paths\": [[[-12459104.2774, 4954894.328100003...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>669</td>\n",
       "      <td>2977</td>\n",
       "      <td>A-S-400</td>\n",
       "      <td>Airport Bike Trail</td>\n",
       "      <td>South Valley Regional Airport</td>\n",
       "      <td>South Valley Regional Airport</td>\n",
       "      <td>Shared Use Path</td>\n",
       "      <td>4.1</td>\n",
       "      <td>2</td>\n",
       "      <td>$4,336,000</td>\n",
       "      <td>$7,520,000</td>\n",
       "      <td>&lt;b&gt;&lt;u&gt;Amendment 3&lt;/u&gt;&lt;/b&gt;&lt;br/&gt;New Project.</td>\n",
       "      <td></td>\n",
       "      <td>8650.263180</td>\n",
       "      <td>{\"paths\": [[[-12467766.5975, 4958121.560999997...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670</th>\n",
       "      <td>670</td>\n",
       "      <td>2978</td>\n",
       "      <td>A-S-401</td>\n",
       "      <td>SR-111 Trail</td>\n",
       "      <td>4100 South</td>\n",
       "      <td>Old Bingham Highway</td>\n",
       "      <td>Shared Use Path</td>\n",
       "      <td>8.8</td>\n",
       "      <td>1</td>\n",
       "      <td>$6,730,000</td>\n",
       "      <td>$7,870,000</td>\n",
       "      <td>&lt;b&gt;&lt;u&gt;Amendment 3&lt;/u&gt;&lt;/b&gt;&lt;br/&gt;New Project.</td>\n",
       "      <td></td>\n",
       "      <td>18710.153579</td>\n",
       "      <td>{\"paths\": [[[-12474830.5736, 4948536.714100003...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>198 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     FID  OBJECTID ProjectID                      Project  \\\n",
       "1      1         2     A-B-2        400 East to 700 North   \n",
       "4      4         5     A-B-5                Forest Street   \n",
       "6      6         7     A-B-7         Eagle Mountain Trail   \n",
       "7      7         8     A-B-8  700 South / 700 South Trail   \n",
       "12    12        13    A-B-13                    750 North   \n",
       "..   ...       ...       ...                          ...   \n",
       "665  665      2973   A-S-396  Crescent Willow Creek Trail   \n",
       "666  666      2974   A-S-397                   7000 South   \n",
       "667  667      2975   A-S-398              TRAX Rail Trail   \n",
       "669  669      2977   A-S-400           Airport Bike Trail   \n",
       "670  670      2978   A-S-401                 SR-111 Trail   \n",
       "\n",
       "                          ProjFrom                         ProjTo  \\\n",
       "1                        600 North             Highland Boulevard   \n",
       "4           Bear River Bird Refuge                       600 East   \n",
       "6                FrontRunner Trail                      200 South   \n",
       "7                        1200 West           Eagle Mountain Trail   \n",
       "12                          SR-315     Bonneville Shoreline Trail   \n",
       "..                             ...                            ...   \n",
       "665                    11400 South                  Windmill Gate   \n",
       "666                      3760 West           Jordan River Parkway   \n",
       "667   Utah Lake Distribution Trail     Jordan River Parkway Trail   \n",
       "669  South Valley Regional Airport  South Valley Regional Airport   \n",
       "670                     4100 South            Old Bingham Highway   \n",
       "\n",
       "            ProjType  Length_mi PhaseNeed    Cost2019  CostPhased  \\\n",
       "1    Shared Use Path        0.5         2    $510,000    $950,000   \n",
       "4    Shared Use Path        3.4         1  $3,390,000  $4,290,000   \n",
       "6    Shared Use Path        3.4         1  $3,350,000  $4,240,000   \n",
       "7    Shared Use Path        2.6         1  $2,560,000  $3,240,000   \n",
       "12   Shared Use Path        2.1         2  $2,090,000  $3,920,000   \n",
       "..               ...        ...       ...         ...         ...   \n",
       "665  Shared Use Path        0.9         3    $735,000  $1,870,000   \n",
       "666  Shared Use Path        3.0         3  $3,000,000  $7,690,000   \n",
       "667  Shared Use Path        3.1         3  $2,647,000  $6,790,000   \n",
       "669  Shared Use Path        4.1         2  $4,336,000  $7,520,000   \n",
       "670  Shared Use Path        8.8         1  $6,730,000  $7,870,000   \n",
       "\n",
       "                                          Notes  \\\n",
       "1                                                 \n",
       "4                                                 \n",
       "6                                                 \n",
       "7                                                 \n",
       "12                                                \n",
       "..                                          ...   \n",
       "665  <b><u>Amendment 3</u></b><br/>New Project.   \n",
       "666  <b><u>Amendment 3</u></b><br/>New Project.   \n",
       "667  <b><u>Amendment 3</u></b><br/>New Project.   \n",
       "669  <b><u>Amendment 3</u></b><br/>New Project.   \n",
       "670  <b><u>Amendment 3</u></b><br/>New Project.   \n",
       "\n",
       "                                            Disclaimer    SHAPE_Leng  \\\n",
       "1                                                        1092.964798   \n",
       "4    The planned active transportation solution may...   7286.228318   \n",
       "6                                                        7203.844683   \n",
       "7                                                        5504.650336   \n",
       "12   The planned active transportation solution may...   4486.990371   \n",
       "..                                                 ...           ...   \n",
       "665                                                      1849.337149   \n",
       "666                                                      6359.664569   \n",
       "667                                                      6541.294345   \n",
       "669                                                      8650.263180   \n",
       "670                                                     18710.153579   \n",
       "\n",
       "                                                 SHAPE  \n",
       "1    {\"paths\": [[[-12468807.686900001, 5089759.1957...  \n",
       "4    {\"paths\": [[[-12468487.932300001, 5087567.0917...  \n",
       "6    {\"paths\": [[[-12472577.2059, 5084401.817400001...  \n",
       "7    {\"paths\": [[[-12467370.2507, 5085639.740099996...  \n",
       "12   {\"paths\": [[[-12473782.883299999, 5074717.7242...  \n",
       "..                                                 ...  \n",
       "665  {\"paths\": [[[-12457281.5279, 4943898.223899998...  \n",
       "666  {\"paths\": [[[-12465592.071899999, 4956932.8522...  \n",
       "667  {\"paths\": [[[-12459104.2774, 4954894.328100003...  \n",
       "669  {\"paths\": [[[-12467766.5975, 4958121.560999997...  \n",
       "670  {\"paths\": [[[-12474830.5736, 4948536.714100003...  \n",
       "\n",
       "[198 rows x 15 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# read in active transportation\n",
    "sdfATLines = pd.DataFrame.spatial.from_featureclass(strATLinesIn)\n",
    "\n",
    "# filter to only certain project types\n",
    "sdfATLines = sdfATLines[sdfATLines['ProjType'].isin(['Shared Use Path','Protected Bike Lane'])]\n",
    "\n",
    "# export to GDB\n",
    "sdfATLines.spatial.to_featureclass(strATLinesOut,sanitize_columns=False)\n",
    "display(sdfATLines)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Transit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\data\\\\UTA_Stops_and_Most_Recent_Ridership\\\\UTA_Stops_and_Most_Recent_Ridership.shp'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\data\\\\NewTransit.gdb\\\\BRT_Stops'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\data\\\\NewTransit.gdb\\\\LightRail_Stations'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\LocalBusStops'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\LRTStops'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\LRTStops_Future'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\BRTStops'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\BRTStops_Future'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\CRTStops'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\CRTStops_Future'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(strTransitIn_Stops   )\n",
    "display(strTransitIn_BRT     )\n",
    "display(strTransitIn_LRT     )\n",
    "display(strTransitOut_Lcl    )\n",
    "display(strTransitOut_LrtCur )\n",
    "display(strTransitOut_LrtFut )\n",
    "display(strTransitOut_BrtCur )\n",
    "display(strTransitOut_BrtFut )\n",
    "display(strTransitOut_CrtCur )\n",
    "display(strTransitOut_CrtFut )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\LocalBusStops'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# LCL STOPS - 1/4 Miles\n",
    "\n",
    "sdfStops = pd.DataFrame.spatial.from_featureclass(strTransitIn_Stops)\n",
    "sdfLocalBusStops = sdfStops[sdfStops['Mode']=='Bus'].copy()\n",
    "\n",
    "sdfLocalBusStops.spatial.to_featureclass(strTransitOut_Lcl,sanitize_columns=False)\n",
    "\n",
    "## Create a map widget\n",
    "#mapbus = gis.map('Salt Lake City') # Passing a place name to the constructor\n",
    "#                        # will initialize the extent of the map.\n",
    "#\n",
    "##define sdf layer\n",
    "#sdfLocalBusStops.spatial.plot(map_widget = mapbus,\n",
    "#                          renderer_type='s',\n",
    "#                          symbol_type='simple',\n",
    "#                          symbol_style='d', # d - for diamonds\n",
    "#                          colors='Purples',\n",
    "#                          cstep=50,\n",
    "#                          outline_color='Greens',\n",
    "#                          marker_size=10)\n",
    "#\n",
    "##define map characteristics\n",
    "#mapbus.layout.height='800px'\n",
    "#mapbus.legend=True\n",
    "#\n",
    "##display map\n",
    "#mapbus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\BRTStops_Future'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# BRT STOPS - 1/3 Miles\n",
    "\n",
    "strBRTStops = \"BRT_Stops\"\n",
    "\n",
    "# read in current BRT stops - MISSING UVX\n",
    "sdfBRTStops = pd.DataFrame.spatial.from_featureclass(strTransitIn_BRT)\n",
    "sdfBRT35M = sdfBRTStops[sdfBRTStops['Name']=='3500S_MAX'].copy()\n",
    "\n",
    "#change projection to WGS84 to match tracts\n",
    "sdfBRT35M.spatial.project(4326)\n",
    "#sdfBRTCurrent35M['x_lon'] = sdfBRTCurrent35M.apply(lambda row: row.SHAPE.centroid[0], axis = 1)\n",
    "#sdfBRTCurrent35M['y_lat'] = sdfBRTCurrent35M.apply(lambda row: row.SHAPE.centroid[1], axis = 1)\n",
    "\n",
    "sdfBRT35M = sdfBRT35M[['Name','SHAPE']]\n",
    "sdfBRT35M = sdfBRT35M.rename(columns={'Name':'Route'})\n",
    "\n",
    "#display(sdfBRT35M)\n",
    "\n",
    "# add UVX bus stops from local dataset\n",
    "\n",
    "sdfLocalStops = pd.DataFrame.spatial.from_featureclass(strTransitIn_Stops)\n",
    "sdfUVXStops = sdfLocalStops[sdfLocalStops['Route']=='830X'].copy()\n",
    "\n",
    "#change projection to WGS84 to match tracts\n",
    "sdfUVXStops.spatial.project(4326)\n",
    "#sdfUVXStops['x_lon'] = sdfUVXStops.apply(lambda row: row.SHAPE.centroid[0], axis = 1)\n",
    "#sdfUVXStops['y_lat'] = sdfUVXStops.apply(lambda row: row.SHAPE.centroid[1], axis = 1)\n",
    "\n",
    "sdfUVXStops = sdfUVXStops[['Route','SHAPE']]\n",
    "\n",
    "#display(sdfUVXStops)\n",
    "\n",
    "sdfBRTCurrent = pd.concat([sdfBRT35M,sdfUVXStops])\n",
    "#display(sdfBRTStops_Current)\n",
    "\n",
    "sdfBRTCurrent.spatial.to_featureclass(strTransitOut_BrtCur,sanitize_columns=False)\n",
    "\n",
    "# read in future BRT stops\n",
    "sdfBRTFuture = sdfBRTStops[sdfBRTStops['Existing'].isin(['Future','Planned'])].copy()\n",
    "\n",
    "sdfBRTFuture.spatial.to_featureclass(strTransitOut_BrtFut,sanitize_columns=False)\n",
    "\n",
    "#display(sdfBRTFuture)\n",
    "\n",
    "## Create a map widget\n",
    "#mapbrt = gis.map('Salt Lake City') # Passing a place name to the constructor\n",
    "#                        # will initialize the extent of the map.\n",
    "#\n",
    "##define sdf layer\n",
    "#sdfBRTFuture.spatial.plot(map_widget=mapbrt,\n",
    "#                          renderer_type='s',\n",
    "#                          symbol_type='simple',\n",
    "#                          symbol_style='d', # d - for diamonds\n",
    "#                          colors='Reds_r',\n",
    "#                          cstep=50,\n",
    "#                          outline_color='Blues',\n",
    "#                          marker_size=10)\n",
    "##define sdf layer\n",
    "#sdfBRTCurrent.spatial.plot(map_widget=mapbrt,\n",
    "#                           renderer_type='s',\n",
    "#                           symbol_type='simple',\n",
    "#                           symbol_style='d', # d - for diamonds\n",
    "#                           colors='Oranges',\n",
    "#                           cstep=50,\n",
    "#                           outline_color='Greens',\n",
    "#                           marker_size=10)\n",
    "#\n",
    "##define map characteristics\n",
    "#mapbrt.layout.height='800px'\n",
    "#mapbrt.legend=True\n",
    "#\n",
    "##display map\n",
    "#mapbrt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\LRTStops_Future'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Rail Stops - 1/3 mile\n",
    "\n",
    "sdfLRTStops = pd.DataFrame.spatial.from_featureclass(strTransitIn_LRT)\n",
    "sdfLRTCurrent = sdfLRTStops[sdfLRTStops['STATUS']=='Current'].copy()\n",
    "\n",
    "sdfLRTCurrent.spatial.to_featureclass(strTransitOut_LrtCur,sanitize_columns=False)\n",
    "\n",
    "sdfLRTFuture = sdfLRTStops[sdfLRTStops['STATUS']!='Current'].copy()\n",
    "\n",
    "sdfLRTFuture.spatial.to_featureclass(strTransitOut_LrtFut,sanitize_columns=False)\n",
    "\n",
    "### Create a map widget\n",
    "#maplrt = gis.map('Salt Lake City') # Passing a place name to the constructor\n",
    "#                        # will initialize the extent of the map.\n",
    "#\n",
    "##define sdf layer\n",
    "#sdfLRTFuture[['SHAPE']].spatial.plot(map_widget=maplrt,\n",
    "#                          renderer_type='s',\n",
    "#                          symbol_type='simple',\n",
    "#                          symbol_style='d', # d - for diamonds\n",
    "#                          colors='Reds_r',\n",
    "#                          cstep=50,\n",
    "#                          outline_color='Reds',\n",
    "#                          marker_size=10)\n",
    "##define sdf layer\n",
    "#sdfLRTCurrent[['SHAPE']].spatial.plot(map_widget=maplrt,\n",
    "#                           renderer_type='s',\n",
    "#                           symbol_type='simple',\n",
    "#                           symbol_style='d', # d - for diamonds\n",
    "#                           colors='Oranges',\n",
    "#                           cstep=50,\n",
    "#                           outline_color='Greens',\n",
    "#                           marker_size=10)\n",
    "#\n",
    "##define map characteristics\n",
    "#maplrt.layout.height='800px'\n",
    "#maplrt.legend=True\n",
    "#\n",
    "##display map\n",
    "#maplrt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\CRTStops_Future'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Rail Stops - 1/3 mile\n",
    "\n",
    "sdfCRTStops = pd.DataFrame.spatial.from_featureclass(strTransitIn_CRT)\n",
    "sdfCRTCurrent = sdfCRTStops[sdfCRTStops['Status']=='Current'].copy()\n",
    "\n",
    "sdfCRTCurrent.spatial.to_featureclass(strTransitOut_CrtCur,sanitize_columns=False)\n",
    "\n",
    "sdfCRTFuture = sdfCRTStops[sdfCRTStops['Status']!='Current'].copy()\n",
    "\n",
    "sdfCRTFuture.spatial.to_featureclass(strTransitOut_CrtFut,sanitize_columns=False)\n",
    "\n",
    "### Create a map widget\n",
    "#mapCrt = gis.map('Salt Lake City') # Passing a place name to the constructor\n",
    "#                        # will initialize the extent of the map.\n",
    "#\n",
    "##define sdf layer\n",
    "#sdfCRTFuture[['SHAPE']].spatial.plot(map_widget=mapCrt,\n",
    "#                          renderer_type='s',\n",
    "#                          symbol_type='simple',\n",
    "#                          symbol_style='d', # d - for diamonds\n",
    "#                          colors='Reds_r',\n",
    "#                          cstep=50,\n",
    "#                          outline_color='Reds',\n",
    "#                          marker_size=10)\n",
    "##define sdf layer\n",
    "#sdfCRTCurrent[['SHAPE']].spatial.plot(map_widget=mapCrt,\n",
    "#                           renderer_type='s',\n",
    "#                           symbol_type='simple',\n",
    "#                           symbol_style='d', # d - for diamonds\n",
    "#                           colors='Oranges',\n",
    "#                           cstep=50,\n",
    "#                           outline_color='Greens',\n",
    "#                           marker_size=10)\n",
    "#\n",
    "##define map characteristics\n",
    "#mapCrt.layout.height='500px'\n",
    "#mapCrt.legend=True\n",
    "#\n",
    "##display map\n",
    "#mapCrt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Interchanges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\Interchanges_Future'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## MAY NEED DATA FOR MAG!!!\n",
    "\n",
    "sdfInterchanges = pd.DataFrame.spatial.from_featureclass(strInterchangesIn_Cur)\n",
    "sdfInterchanges.spatial.to_featureclass(strInterchangesOut_Cur,sanitize_columns=False)\n",
    "\n",
    "sdfInterchanges_Future = pd.DataFrame.spatial.from_featureclass(strInterchangesIn_Fut)\n",
    "sdfInterchanges_Future = sdfInterchanges_Future[(sdfInterchanges_Future['ProjType']=='New Construction') & (sdfInterchanges_Future['Project'].str.contains('Interchange', na=False))]\n",
    "sdfInterchanges_Future.spatial.to_featureclass(strInterchangesOut_Fut,sanitize_columns=False)\n",
    "\n",
    "\n",
    "### Create a map widget\n",
    "#mapInt = gis.map('Salt Lake City') # Passing a place name to the constructor\n",
    "#                        # will initialize the extent of the map.\n",
    "#\n",
    "##define sdf layer\n",
    "#sdfInterchanges.spatial.plot(map_widget=mapInt,\n",
    "#                                     renderer_type='s',\n",
    "#                                     symbol_type='simple',\n",
    "#                                     symbol_style='d', # d - for diamonds\n",
    "#                                     colors='Reds_r',\n",
    "#                                     cstep=50,\n",
    "#                                     outline_color='Reds',\n",
    "#                                     marker_size=10)\n",
    "##define sdf layer\n",
    "#sdfInterchanges_Future.spatial.plot(map_widget=mapInt,\n",
    "#                                      renderer_type='s',\n",
    "#                                      symbol_type='simple',\n",
    "#                                      symbol_style='d', # d - for diamonds\n",
    "#                                      colors='Oranges',\n",
    "#                                      cstep=50,\n",
    "#                                      outline_color='Greens',\n",
    "#                                      marker_size=10)\n",
    "#\n",
    "##define map characteristics\n",
    "#mapInt.layout.height='500px'\n",
    "#mapInt.legend=True\n",
    "#\n",
    "##display map\n",
    "#mapInt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Active Transportation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\ATCycleTracks_Future'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# info: https://gis.utah.gov/bike-related-gis-data-resources/\n",
    "\n",
    "#Coded  Values\n",
    "#Code   Name\n",
    "#1A     1A Cycle track, at-grade, protected with parking\n",
    "#1B     1B Cycle track, protected with barrier\n",
    "#1C     1C Cycle track, raised and curb separated (may be multiuse with peds)\n",
    "#2A     2A Buffered bike lane\n",
    "#2B     2B Bike lane\n",
    "#3A     3A Shoulder bikeway\n",
    "#3B     3B Marked shared roadway\n",
    "#3C     3C Signed shared roadway\n",
    "#1      1 Cycle track, unspecified \n",
    "#2      2 Bike lane, unspecified \n",
    "#3      3 Other bike route, unspecified\n",
    "#PP     Parallel Bike Path, Paved\n",
    "#PU     Parallel Bike Path, Unpaved\n",
    "#UN     Unknown Category\n",
    "\n",
    "# for roadway bike facilities, only use cycle tracks\n",
    "sdfRoads = pd.DataFrame.spatial.from_featureclass(strRoadsIn)\n",
    "sdfATCycleTracks_Current = sdfRoads[(sdfRoads['BIKE_L'    ].isin(['1A', '1B', '1C', '1'])) | sdfRoads['BIKE_R'    ].isin(['1A', '1B', '1C', '1'])].copy()\n",
    "sdfATCycleTracks_Current.spatial.to_featureclass(strATCycleTracksOut_Cur,sanitize_columns=False)\n",
    "\n",
    "sdfATCycleTracks_Future =  sdfRoads[(sdfRoads['BIKE_PLN_L'].isin(['1A', '1B', '1C', '1'])) | sdfRoads['BIKE_PLN_R'].isin(['1A', '1B', '1C', '1'])].copy()\n",
    "sdfATCycleTracks_Future.spatial.to_featureclass(strATCycleTracksOut_Fut,sanitize_columns=False)\n",
    "\n",
    "### Create a map widget\n",
    "#mapCT = gis.map('Salt Lake City') # Passing a place name to the constructor\n",
    "#                        # will initialize the extent of the map.\n",
    "#\n",
    "##define sdf layer\n",
    "#sdfATCycleTracks_Current.spatial.plot(map_widget=mapCT,\n",
    "#                                      renderer_type='s',\n",
    "#                                      cmap='Spectral',  # use a different color map\n",
    "#                                      symbol_type='simple')\n",
    "##define sdf layer\n",
    "#sdfATCycleTracks_Future.spatial.plot(map_widget=mapCT,\n",
    "#                                     renderer_type='s',\n",
    "#                                     cmap='prism',  # use a different color map\n",
    "#                                     symbol_type='simple')\n",
    "#\n",
    "##define map characteristics\n",
    "#mapCT.layout.height='500px'\n",
    "#mapCT.legend=True\n",
    "#\n",
    "##display map\n",
    "#mapCT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Program Files\\ArcGIS\\Pro\\bin\\Python\\envs\\arcgispro-py3\\lib\\site-packages\\pandas\\core\\indexing.py:1817: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_column(loc, value, pi)\n"
     ]
    }
   ],
   "source": [
    "# MAY NEED UTAH COUNTY DATA!!!!\n",
    "\n",
    "# for trails and paths use Class \"Path\"\n",
    "\n",
    "sdfTrailsandPathways = pd.DataFrame.spatial.from_featureclass(strTrailsAndPathwaysIn)\n",
    "sdfPaths_Current = sdfTrailsandPathways[(sdfTrailsandPathways['Class']=='Path') & (sdfTrailsandPathways['Status']=='EXISTING')]\n",
    "sdfPaths_Current.spatial.to_featureclass(strPathsOut_Cur,sanitize_columns=False)\n",
    "\n",
    "sdfPaths_Future =  sdfTrailsandPathways[(sdfTrailsandPathways['Class']=='Path') & (sdfTrailsandPathways['Status']=='PROPOSED')]\n",
    "sdfPaths_Future.spatial.to_featureclass(strPathsOut_Fut,sanitize_columns=False)\n",
    "\n",
    "## Create a map widget\n",
    "mapPath = gis.map('Salt Lake City') # Passing a place name to the constructor\n",
    "                        # will initialize the extent of the map.\n",
    "\n",
    "##define sdf layer\n",
    "#sdfPaths_Current.spatial.plot(map_widget=mapPath,\n",
    "#                              renderer_type='s',\n",
    "#                              cmap='Spectral',  # use a different color map\n",
    "#                              symbol_type='simple')\n",
    "##define sdf layer\n",
    "#sdfPaths_Future.spatial.plot(map_widget=mapPath,\n",
    "#                             renderer_type='s',\n",
    "#                             cmap='prism',  # use a different color map\n",
    "#                             symbol_type='simple')\n",
    "#\n",
    "##define map characteristics\n",
    "#mapPath.layout.height='500px'\n",
    "#mapPath.legend=True\n",
    "#\n",
    "##display map\n",
    "#mapPath"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Amenitities\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\CommunityCenter'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdfCommunityCenter = pd.DataFrame.spatial.from_featureclass(strCommunityCenterIn)\n",
    "sdfCommunityCenter.spatial.to_featureclass(strCommunityCenterOut,sanitize_columns=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\GroceryStores'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdfGrocery = pd.DataFrame.spatial.from_featureclass(strGroceryIn)\n",
    "sdfGrocery = sdfGrocery[sdfGrocery['TYPE'].isin(['Grocery Store','Supermarket'])]\n",
    "sdfGrocery.spatial.to_featureclass(strGroceryOut,sanitize_columns=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\HealthCare'"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdfHealthCare = pd.DataFrame.spatial.from_featureclass(strHealthCareIn)\n",
    "sdfHealthCare = sdfHealthCare[sdfHealthCare['TYPE'].isin(['CLINIC', 'HOSPITAL', 'URGENT CARE CLINIC'])]\n",
    "sdfHealthCare.spatial.to_featureclass(strHealthCareOut,sanitize_columns=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\ParksAndOpenSpace'"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdfParkAccessibility = pd.DataFrame.spatial.from_featureclass(strParkAccessibilityIn)\n",
    "sdfParkAccessibility = sdfParkAccessibility.drop(columns=['Name','FromBreak','ToBreak'])\n",
    "sdfParkAccessibility.spatial.to_featureclass(strParkAccessibilityOut,sanitize_columns=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Create a map widget\n",
    "#mapAmenities = gis.map('Salt Lake City') # Passing a place name to the constructor\n",
    "#                        # will initialize the extent of the map.\n",
    "#\n",
    "#\n",
    "##define sdf layer\n",
    "#sdfCommunityCenter.spatial.plot(map_widget=mapAmenities,\n",
    "#                                renderer_type='s',\n",
    "#                                cmap = 'Purples',  # use a red to purple color map\n",
    "#                                symbol_type='simple',\n",
    "#                                outline_style='s',\n",
    "#                                outline_color=[0,0,0,255],\n",
    "#                                line_width=1.0)\n",
    "#\n",
    "##define sdf layer\n",
    "#sdfParkAccessibility.spatial.plot(map_widget=mapAmenities,\n",
    "#                                  renderer_type='s',\n",
    "#                                  cmap = 'Greens',  # use a red to purple color map\n",
    "#                                  symbol_type='simple',\n",
    "#                                  outline_style='s',\n",
    "#                                  outline_color=[0,0,0,255],\n",
    "#                                  line_width=1.0)\n",
    "#\n",
    "#\n",
    "##define sdf layer\n",
    "#sdfGrocery.spatial.plot(map_widget=mapAmenities,\n",
    "#                                     renderer_type='s',\n",
    "#                                     symbol_type='simple',\n",
    "#                                     symbol_style='d', # d - for diamonds\n",
    "#                                     colors='Reds_r',\n",
    "#                                     cstep=50,\n",
    "#                                     outline_color='Reds_r',\n",
    "#                                     marker_size=10)\n",
    "##define sdf layer\n",
    "#sdfHealthCare.spatial.plot(map_widget=mapAmenities,\n",
    "#                                      renderer_type='s',\n",
    "#                                      symbol_type='simple',\n",
    "#                                      symbol_style='d', # d - for diamonds\n",
    "#                                      colors='Blues',\n",
    "#                                      cstep=50,\n",
    "#                                      outline_color='Blues',\n",
    "#                                      marker_size=10)\n",
    "#\n",
    "##define map characteristics\n",
    "#mapAmenities.layout.height='500px'\n",
    "#mapAmenities.legend=True\n",
    "#\n",
    "##display map\n",
    "#mapAmenities"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ring Buffers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getLayerDistField(strName):\n",
    "  return \"dist_\" + strName.rsplit('\\\\',1)[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def createRingBuffers(strBufferPrefix,dBufferDistances):\n",
    "  strBufferLayerName = strBufferPrefix  + \"_Buffers\"\n",
    "  deleteIfExists(strBufferLayerName)\n",
    "  deleteIfExists(\"memory\\diss_fc\")\n",
    "  display(strBufferPrefix  + \"_Buffers\")\n",
    "  arcpy.analysis.MultipleRingBuffer(strBufferPrefix, strBufferLayerName, dBufferDistances, \"miles\", \"\", \"ALL\")\n",
    "  strNewFieldName = getLayerDistField(strBufferPrefix)\n",
    "  arcpy.management.AlterField(strBufferLayerName, \"distance\", strNewFieldName, strNewFieldName)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "buffering E:\\GitHub\\Housing-Suitability\\results\\HousingSuitability.gdb\\GroceryStores\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\GroceryStores_Buffers'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "done!\n"
     ]
    }
   ],
   "source": [
    "#indicate which layers to buffer by putting \"Yes\" in second column\n",
    "\n",
    "# TEMP FOR GROCERY ONLY\n",
    "\n",
    "dBufferLayers = [\n",
    "  [strInterchangesOut_Cur , \"No\", [1/2, 1, 2]],\n",
    "  [strInterchangesOut_Fut , \"No\", [1/2, 1, 2]],\n",
    "  [strTransitOut_Lcl      , \"No\", [1/4      ]],\n",
    "  [strTransitOut_BrtCur   , \"No\", [1/3      ]],\n",
    "  [strTransitOut_BrtFut   , \"No\", [1/3      ]],\n",
    "  [strTransitOut_LrtCur   , \"No\", [1/3      ]],\n",
    "  [strTransitOut_LrtFut   , \"No\", [1/3      ]],\n",
    "  [strTransitOut_CrtCur   , \"No\", [1/3      ]],\n",
    "  [strTransitOut_CrtFut   , \"No\", [1/3      ]],\n",
    "  [strChildCareOut        , \"No\", [1/2, 1   ]],\n",
    "  [strHealthCareOut       , \"No\", [1/2, 1   ]],\n",
    "  [strSchoolsOut_RegPub   , \"No\", [1/2, 1   ]],\n",
    "  [strSchoolsOut_HighEd   , \"No\", [     1, 2]],\n",
    "  [strGroceryOut          , \"Yes\", [1/2, 1   ]],\n",
    "  [strCommunityCenterOut  , \"No\", [1/2, 1   ]],\n",
    "  [strPathsOut_Cur        , \"No\", [1/2, 1   ]],\n",
    "  [strPathsOut_Fut        , \"No\", [1/2, 1   ]],\n",
    "  [strATCycleTracksOut_Cur, \"No\", [1/2, 1   ]],\n",
    "  [strATCycleTracksOut_Fut, \"No\", [1/2, 1   ]]\n",
    "]\n",
    "\n",
    "for l in dBufferLayers:\n",
    "  if (l[1])=='Yes':\n",
    "    print('buffering ' + l[0])\n",
    "    createRingBuffers(l[0],l[2])\n",
    "print('done!')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Centers Splitting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Program Files\\ArcGIS\\Pro\\bin\\Python\\envs\\arcgispro-py3\\lib\\site-packages\\pandas\\core\\indexing.py:1817: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_column(loc, value, pi)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\NeighborhoodCenters'"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#export separate layers for centers\n",
    "sdfCenters[sdfCenters['AreaType']=='Metropolitan Center'].spatial.to_featureclass(strCentersOut_MC,sanitize_columns=False)\n",
    "sdfCenters[sdfCenters['AreaType']=='Urban Center'       ].spatial.to_featureclass(strCentersOut_UC,sanitize_columns=False)\n",
    "sdfCenters[sdfCenters['AreaType']=='City Center'        ].spatial.to_featureclass(strCentersOut_CC,sanitize_columns=False)\n",
    "sdfCenters[sdfCenters['AreaType']=='Neighborhood Center'].spatial.to_featureclass(strCentersOut_NC,sanitize_columns=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Qualified Opportunity Zones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Program Files\\ArcGIS\\Pro\\bin\\Python\\envs\\arcgispro-py3\\lib\\site-packages\\pandas\\core\\indexing.py:1817: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_column(loc, value, pi)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\UtahQualifiedOpportunityZones'"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdfQOZ = pd.DataFrame.spatial.from_featureclass(strQOZIn)\n",
    "sdfQOZ = sdfQOZ[sdfQOZ['COUNTYNAME'].isin(['Weber','Davis','Salt Lake','Utah'])].copy()\n",
    "sdfQOZ[['QOZ','SHAPE','SHAPE_Leng','SHAPE_Area']].spatial.to_featureclass(strQOZOut,sanitize_columns=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Parcels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "importparcels = False\n",
    "if importparcels:\n",
    "  sdfParcels = pd.DataFrame.spatial.from_featureclass(strBuildingsIn) # use buildings dataset, since it's acutally a parcel with building info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "if importparcels:\n",
    "  # drop extra fields and export\n",
    "  sdfParcels2 = sdfParcels.drop(columns=['building_id','building_sqft','building_type_id','non_residential_sqft','note','residential_units','stories','unit_price_non_residential','year_built','res_price_per_sqft','job_spaces','building_type_id2','basebldg'])\n",
    "  sdfParcels2.spatial.to_featureclass(strParcelsOut,sanitize_columns=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Communities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "sdfMunicipalities = pd.DataFrame.spatial.from_featureclass(strMunicipalitiesIn)[['NAME','COUNTYNBR','Shape__Are','Shape__Len', 'SHAPE']]\n",
    "sdfMetroTownships = pd.DataFrame.spatial.from_featureclass(strMetroTownshipsIn)[['NAME','COUNTYNBR','Shape__Are','Shape__Len', 'SHAPE']]\n",
    "sdfCommunities = pd.concat([sdfMunicipalities,sdfMetroTownships])\n",
    "sdfCommunities = sdfCommunities[sdfCommunities['COUNTYNBR'].isin(['29','06','18','25'])] # four WF counties\n",
    "sdfCommunities = sdfCommunities[~sdfCommunities['NAME'].isin(['Alta','Brighton','Huntsville','Emigration Canyon'])] # manually remove communities outside WF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['NAME', 'COUNTYNBR', 'Shape__Are', 'Shape__Len', 'SHAPE'], dtype='object')"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdfCommunities.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        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>NAME</th>\n",
       "      <th>CommCode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alpine</td>\n",
       "      <td>ALP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alta</td>\n",
       "      <td>ALA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>American Fork</td>\n",
       "      <td>AFK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bluffdale</td>\n",
       "      <td>BDL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bountiful</td>\n",
       "      <td>BTF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>West Point</td>\n",
       "      <td>WPT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>West Valley City</td>\n",
       "      <td>WVC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>White City</td>\n",
       "      <td>WMT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Woodland Hills</td>\n",
       "      <td>WDL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Woods Cross</td>\n",
       "      <td>WCR</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>75 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                NAME CommCode\n",
       "0             Alpine      ALP\n",
       "1               Alta      ALA\n",
       "2      American Fork      AFK\n",
       "3          Bluffdale      BDL\n",
       "4          Bountiful      BTF\n",
       "..               ...      ...\n",
       "70        West Point      WPT\n",
       "71  West Valley City      WVC\n",
       "72        White City      WMT\n",
       "73    Woodland Hills      WDL\n",
       "74       Woods Cross      WCR\n",
       "\n",
       "[75 rows x 2 columns]"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dCommCode = [['Alpine'              , 'ALP'],\n",
    "             ['Alta'                , 'ALA'],\n",
    "             ['American Fork'       , 'AFK'],\n",
    "             ['Bluffdale'           , 'BDL'],\n",
    "             ['Bountiful'           , 'BTF'],\n",
    "             ['Cedar Fort'          , 'CDF'],\n",
    "             ['Cedar Hills'         , 'CHL'],\n",
    "             ['Centerville'         , 'CEN'],\n",
    "             ['Clearfield'          , 'CLR'],\n",
    "             ['Clinton'             , 'CLI'],\n",
    "             ['Copperton'           , 'CMT'],\n",
    "             ['Cottonwood Heights'  , 'COT'],\n",
    "             ['Draper'              , 'DRA'],\n",
    "             ['Eagle Mountain'      , 'EAG'],\n",
    "             ['Elk Ridge'           , 'ELK'],\n",
    "             ['Fairfield'           , 'FFD'],\n",
    "             ['Farmington'          , 'FRM'],\n",
    "             ['Farr West'           , 'FRR'],\n",
    "             ['Fruit Heights'       , 'FRU'],\n",
    "             ['Genola'              , 'GEN'],\n",
    "             ['Goshen'              , 'GOS'],\n",
    "             ['Harrisville'         , 'HAR'],\n",
    "             ['Herriman'            , 'HER'],\n",
    "             ['Highland'            , 'HGH'],\n",
    "             ['Holladay'            , 'HOL'],\n",
    "             ['Hooper'              , 'HOO'],\n",
    "             ['Huntsville'          , 'HVL'],\n",
    "             ['Kaysville'           , 'KAY'],\n",
    "             ['Kearns'              , 'KMT'],\n",
    "             ['Layton'              , 'LAY'],\n",
    "             ['Lehi'                , 'LEH'],\n",
    "             ['Lindon'              , 'LIN'],\n",
    "             ['Magna'               , 'MMT'],\n",
    "             ['Mapleton'            , 'MAP'],\n",
    "             ['Marriott-Slaterville', 'MSL'],\n",
    "             ['Midvale'             , 'MID'],\n",
    "             ['Millcreek'           , 'MLC'],\n",
    "             ['Murray'              , 'MUR'],\n",
    "             ['North Ogden'         , 'NOG'],\n",
    "             ['North Salt Lake'     , 'NSL'],\n",
    "             ['Ogden'               , 'OGD'],\n",
    "             ['Orem'                , 'ORE'],\n",
    "             ['Payson'              , 'PAY'],\n",
    "             ['Plain City'          , 'PLN'],\n",
    "             ['Pleasant Grove'      , 'PGR'],\n",
    "             ['Pleasant View'       , 'PVW'],\n",
    "             ['Provo'               , 'PVO'],\n",
    "             ['Riverdale'           , 'RVD'],\n",
    "             ['Riverton'            , 'RVT'],\n",
    "             ['Roy'                 , 'ROY'],\n",
    "             ['Salem'               , 'SLM'],\n",
    "             ['Salt Lake City'      , 'SLC'],\n",
    "             ['Sandy'               , 'SAN'],\n",
    "             ['Santaquin'           , 'SAQ'],\n",
    "             ['Saratoga Springs'    , 'SAR'],\n",
    "             ['South Jordan'        , 'SJC'],\n",
    "             ['South Ogden'         , 'SOG'],\n",
    "             ['South Salt Lake'     , 'SSL'],\n",
    "             ['South Weber'         , 'SWE'],\n",
    "             ['Spanish Fork'        , 'SFK'],\n",
    "             ['Springville'         , 'SPV'],\n",
    "             ['Sunset'              , 'SUN'],\n",
    "             ['Syracuse'            , 'SYR'],\n",
    "             ['Taylorsville'        , 'TAY'],\n",
    "             ['Uintah'              , 'UIN'],\n",
    "             ['Vineyard'            , 'VIN'],\n",
    "             ['Washington Terrace'  , 'WTR'],\n",
    "             ['West Bountiful'      , 'WBO'],\n",
    "             ['West Haven'          , 'WHV'],\n",
    "             ['West Jordan'         , 'WJC'],\n",
    "             ['West Point'          , 'WPT'],\n",
    "             ['West Valley City'    , 'WVC'],\n",
    "             ['White City'          , 'WMT'],\n",
    "             ['Woodland Hills'      , 'WDL'],\n",
    "             ['Woods Cross'         , 'WCR']]\n",
    "\n",
    "dfCommCode = pd.DataFrame(dCommCode, columns=['NAME', 'CommCode'])\n",
    "dfCommCode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NAME</th>\n",
       "      <th>COUNTYNBR</th>\n",
       "      <th>Shape__Are</th>\n",
       "      <th>Shape__Len</th>\n",
       "      <th>SHAPE</th>\n",
       "      <th>CommCode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>South Ogden</td>\n",
       "      <td>29</td>\n",
       "      <td>1.789572e+07</td>\n",
       "      <td>29060.134519</td>\n",
       "      <td>{'rings': [[[-111.97992602346, 41.186766152416...</td>\n",
       "      <td>SOG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Riverdale</td>\n",
       "      <td>29</td>\n",
       "      <td>2.106050e+07</td>\n",
       "      <td>26905.889774</td>\n",
       "      <td>{'rings': [[[-111.992215188549, 41.19802376313...</td>\n",
       "      <td>RVD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Midvale</td>\n",
       "      <td>18</td>\n",
       "      <td>2.635270e+07</td>\n",
       "      <td>30626.207428</td>\n",
       "      <td>{'rings': [[[-111.903409973671, 40.62872635266...</td>\n",
       "      <td>MID</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Salt Lake City</td>\n",
       "      <td>18</td>\n",
       "      <td>5.038467e+08</td>\n",
       "      <td>168892.064318</td>\n",
       "      <td>{'rings': [[[-111.805630303441, 40.71495811914...</td>\n",
       "      <td>SLC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Fairfield</td>\n",
       "      <td>25</td>\n",
       "      <td>1.162525e+08</td>\n",
       "      <td>55611.827949</td>\n",
       "      <td>{'rings': [[[-112.101270895807, 40.28357933255...</td>\n",
       "      <td>FFD</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>North Ogden</td>\n",
       "      <td>29</td>\n",
       "      <td>3.467832e+07</td>\n",
       "      <td>55176.051031</td>\n",
       "      <td>{'rings': [[[-111.971630901973, 41.34088283125...</td>\n",
       "      <td>NOG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Copperton</td>\n",
       "      <td>18</td>\n",
       "      <td>1.407033e+06</td>\n",
       "      <td>8080.141764</td>\n",
       "      <td>{'rings': [[[-112.099341293017, 40.56229668163...</td>\n",
       "      <td>CMT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>White City</td>\n",
       "      <td>18</td>\n",
       "      <td>3.930916e+06</td>\n",
       "      <td>18516.503459</td>\n",
       "      <td>{'rings': [[[-111.862731075773, 40.58154895707...</td>\n",
       "      <td>WMT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Kearns</td>\n",
       "      <td>18</td>\n",
       "      <td>2.085713e+07</td>\n",
       "      <td>23112.195879</td>\n",
       "      <td>{'rings': [[[-111.986605797098, 40.66756731570...</td>\n",
       "      <td>KMT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Magna</td>\n",
       "      <td>18</td>\n",
       "      <td>1.692021e+08</td>\n",
       "      <td>95438.739805</td>\n",
       "      <td>{'rings': [[[-112.106196642377, 40.69164014067...</td>\n",
       "      <td>MMT</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>75 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              NAME COUNTYNBR    Shape__Are     Shape__Len  \\\n",
       "0      South Ogden        29  1.789572e+07   29060.134519   \n",
       "1        Riverdale        29  2.106050e+07   26905.889774   \n",
       "2          Midvale        18  2.635270e+07   30626.207428   \n",
       "3   Salt Lake City        18  5.038467e+08  168892.064318   \n",
       "4        Fairfield        25  1.162525e+08   55611.827949   \n",
       "..             ...       ...           ...            ...   \n",
       "70     North Ogden        29  3.467832e+07   55176.051031   \n",
       "71       Copperton        18  1.407033e+06    8080.141764   \n",
       "72      White City        18  3.930916e+06   18516.503459   \n",
       "73          Kearns        18  2.085713e+07   23112.195879   \n",
       "74           Magna        18  1.692021e+08   95438.739805   \n",
       "\n",
       "                                                SHAPE CommCode  \n",
       "0   {'rings': [[[-111.97992602346, 41.186766152416...      SOG  \n",
       "1   {'rings': [[[-111.992215188549, 41.19802376313...      RVD  \n",
       "2   {'rings': [[[-111.903409973671, 40.62872635266...      MID  \n",
       "3   {'rings': [[[-111.805630303441, 40.71495811914...      SLC  \n",
       "4   {'rings': [[[-112.101270895807, 40.28357933255...      FFD  \n",
       "..                                                ...      ...  \n",
       "70  {'rings': [[[-111.971630901973, 41.34088283125...      NOG  \n",
       "71  {'rings': [[[-112.099341293017, 40.56229668163...      CMT  \n",
       "72  {'rings': [[[-111.862731075773, 40.58154895707...      WMT  \n",
       "73  {'rings': [[[-111.986605797098, 40.66756731570...      KMT  \n",
       "74  {'rings': [[[-112.106196642377, 40.69164014067...      MMT  \n",
       "\n",
       "[75 rows x 6 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>CommCode</th>\n",
       "      <th>NAME</th>\n",
       "      <th>COUNTYNBR</th>\n",
       "      <th>Shape__Are</th>\n",
       "      <th>Shape__Len</th>\n",
       "      <th>SHAPE</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SOG</td>\n",
       "      <td>South Ogden</td>\n",
       "      <td>29</td>\n",
       "      <td>1.789572e+07</td>\n",
       "      <td>29060.134519</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RVD</td>\n",
       "      <td>Riverdale</td>\n",
       "      <td>29</td>\n",
       "      <td>2.106050e+07</td>\n",
       "      <td>26905.889774</td>\n",
       "      <td>{'rings': [[[-111.992215188549, 41.19802376313...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MID</td>\n",
       "      <td>Midvale</td>\n",
       "      <td>18</td>\n",
       "      <td>2.635270e+07</td>\n",
       "      <td>30626.207428</td>\n",
       "      <td>{'rings': [[[-111.903409973671, 40.62872635266...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SLC</td>\n",
       "      <td>Salt Lake City</td>\n",
       "      <td>18</td>\n",
       "      <td>5.038467e+08</td>\n",
       "      <td>168892.064318</td>\n",
       "      <td>{'rings': [[[-111.805630303441, 40.71495811914...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>FFD</td>\n",
       "      <td>Fairfield</td>\n",
       "      <td>25</td>\n",
       "      <td>1.162525e+08</td>\n",
       "      <td>55611.827949</td>\n",
       "      <td>{'rings': [[[-112.101270895807, 40.28357933255...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>NOG</td>\n",
       "      <td>North Ogden</td>\n",
       "      <td>29</td>\n",
       "      <td>3.467832e+07</td>\n",
       "      <td>55176.051031</td>\n",
       "      <td>{'rings': [[[-111.971630901973, 41.34088283125...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>CMT</td>\n",
       "      <td>Copperton</td>\n",
       "      <td>18</td>\n",
       "      <td>1.407033e+06</td>\n",
       "      <td>8080.141764</td>\n",
       "      <td>{'rings': [[[-112.099341293017, 40.56229668163...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>WMT</td>\n",
       "      <td>White City</td>\n",
       "      <td>18</td>\n",
       "      <td>3.930916e+06</td>\n",
       "      <td>18516.503459</td>\n",
       "      <td>{'rings': [[[-111.862731075773, 40.58154895707...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>KMT</td>\n",
       "      <td>Kearns</td>\n",
       "      <td>18</td>\n",
       "      <td>2.085713e+07</td>\n",
       "      <td>23112.195879</td>\n",
       "      <td>{'rings': [[[-111.986605797098, 40.66756731570...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>MMT</td>\n",
       "      <td>Magna</td>\n",
       "      <td>18</td>\n",
       "      <td>1.692021e+08</td>\n",
       "      <td>95438.739805</td>\n",
       "      <td>{'rings': [[[-112.106196642377, 40.69164014067...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>75 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   CommCode            NAME COUNTYNBR    Shape__Are     Shape__Len  \\\n",
       "0       SOG     South Ogden        29  1.789572e+07   29060.134519   \n",
       "1       RVD       Riverdale        29  2.106050e+07   26905.889774   \n",
       "2       MID         Midvale        18  2.635270e+07   30626.207428   \n",
       "3       SLC  Salt Lake City        18  5.038467e+08  168892.064318   \n",
       "4       FFD       Fairfield        25  1.162525e+08   55611.827949   \n",
       "..      ...             ...       ...           ...            ...   \n",
       "70      NOG     North Ogden        29  3.467832e+07   55176.051031   \n",
       "71      CMT       Copperton        18  1.407033e+06    8080.141764   \n",
       "72      WMT      White City        18  3.930916e+06   18516.503459   \n",
       "73      KMT          Kearns        18  2.085713e+07   23112.195879   \n",
       "74      MMT           Magna        18  1.692021e+08   95438.739805   \n",
       "\n",
       "                                                SHAPE  \n",
       "0   {'rings': [[[-111.97992602346, 41.186766152416...  \n",
       "1   {'rings': [[[-111.992215188549, 41.19802376313...  \n",
       "2   {'rings': [[[-111.903409973671, 40.62872635266...  \n",
       "3   {'rings': [[[-111.805630303441, 40.71495811914...  \n",
       "4   {'rings': [[[-112.101270895807, 40.28357933255...  \n",
       "..                                                ...  \n",
       "70  {'rings': [[[-111.971630901973, 41.34088283125...  \n",
       "71  {'rings': [[[-112.099341293017, 40.56229668163...  \n",
       "72  {'rings': [[[-111.862731075773, 40.58154895707...  \n",
       "73  {'rings': [[[-111.986605797098, 40.66756731570...  \n",
       "74  {'rings': [[[-112.106196642377, 40.69164014067...  \n",
       "\n",
       "[75 rows x 6 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sdfCommunitiesWithCommCode = pd.DataFrame.merge(sdfCommunities,dfCommCode,on='NAME',how='left')\n",
    "display(sdfCommunitiesWithCommCode)\n",
    "sdfCommunitiesWithCommCode = sdfCommunitiesWithCommCode[['CommCode','NAME','COUNTYNBR','Shape__Are','Shape__Len','SHAPE']]\n",
    "display(sdfCommunitiesWithCommCode)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\Communities'"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdfCommunitiesWithCommCode.spatial.to_featureclass(strCommunitiesOut,sanitize_columns=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Union with DataSets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class='gpresult'><h2>Messages</h2><div id='messages' data-messages='[\"Start Time: Wednesday, November 30, 2022 3:04:32 PM\",\"Reading Features...\",\"Cracking Features...\",\"Assembling Features...\",\"Succeeded at Wednesday, November 30, 2022 3:55:31 PM (Elapsed Time: 50 minutes 59 seconds)\"]' data-show='true'><div id = 'default' /></div></div>"
      ],
      "text/plain": [
       "<Result 'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\UNIONED'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deleteIfExists(os.path.join(strGDB,\"UNIONED\"))\n",
    "arcpy.analysis.Union([strParcelsOut                       ,\n",
    "                      strCommunitiesOut                   ,\n",
    "                      strCentersOut                       ,\n",
    "                      strTAZwithATOOut                    ,\n",
    "                      strInterchangesOut_Cur  + \"_Buffers\",\n",
    "                      strInterchangesOut_Fut  + \"_Buffers\",\n",
    "                      strTransitOut_Lcl       + \"_Buffers\",\n",
    "                      strTransitOut_BrtCur    + \"_Buffers\",\n",
    "                      strTransitOut_BrtFut    + \"_Buffers\",\n",
    "                      strTransitOut_LrtCur    + \"_Buffers\",\n",
    "                      strTransitOut_LrtFut    + \"_Buffers\",\n",
    "                      strTransitOut_CrtCur    + \"_Buffers\",\n",
    "                      strTransitOut_CrtFut    + \"_Buffers\",\n",
    "                      strChildCareOut         + \"_Buffers\",\n",
    "                      strHealthCareOut        + \"_Buffers\",\n",
    "                      strSchoolsOut_RegPub    + \"_Buffers\",\n",
    "                      strSchoolsOut_HighEd    + \"_Buffers\",\n",
    "                      strGroceryOut           + \"_Buffers\",\n",
    "                      strCommunityCenterOut   + \"_Buffers\",\n",
    "                      strPathsOut_Cur         + \"_Buffers\",\n",
    "                      strPathsOut_Fut         + \"_Buffers\",\n",
    "                      strATCycleTracksOut_Cur + \"_Buffers\",\n",
    "                      strATCycleTracksOut_Fut + \"_Buffers\",\n",
    "                      strQOZOut                           ,\n",
    "                      strParkAccessibilityOut             ],\n",
    "                     os.path.join(strGDB,\"UNIONED\"))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "sdfUnioned = pd.DataFrame.spatial.from_featureclass(os.path.join(strGDB,\"UNIONED\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1736687"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdfUnioned.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['OBJECTID', 'FID_Parcels', 'parcel_id', 'building_type', 'FID_Centers',\n",
       "       'AreaName', 'AreaType', 'SHAPE_Leng', 'FID_TAZWithATOScores',\n",
       "       'CO_TAZID', 'ATO_Auto_Score', 'ATO_Tran_Score',\n",
       "       'FID_Interchanges_Buffers', 'dist_Interchanges',\n",
       "       'FID_Interchanges_Future_Buffers', 'dist_Interchanges_Future',\n",
       "       'FID_LocalBusStops_Buffers', 'dist_LocalBusStops',\n",
       "       'FID_BRTStops_Buffers', 'dist_BRTStops', 'FID_BRTStops_Future_Buffers',\n",
       "       'dist_BRTStops_Future', 'FID_LRTStops_Buffers', 'dist_LRTStops',\n",
       "       'FID_LRTStops_Future_Buffers', 'dist_LRTStops_Future',\n",
       "       'FID_CRTStops_Buffers', 'dist_CRTStops', 'FID_CRTStops_Future_Buffers',\n",
       "       'dist_CRTStops_Future', 'FID_ChildCare_Buffers', 'dist_ChildCare',\n",
       "       'FID_HealthCare_Buffers', 'dist_HealthCare',\n",
       "       'FID_SchoolsRegPublic_Buffers', 'dist_SchoolsRegPublic',\n",
       "       'FID_SchoolsHigherEd_Buffers', 'dist_SchoolsHigherEd',\n",
       "       'FID_GroceryStores_Buffers', 'dist_GroceryStores',\n",
       "       'FID_CommunityCenter_Buffers', 'dist_CommunityCenter',\n",
       "       'FID_ATPaths_Buffers', 'dist_ATPaths', 'FID_ATPaths_Future_Buffers',\n",
       "       'dist_ATPaths_Future', 'FID_ATCycleTracks_Buffers',\n",
       "       'dist_ATCycleTracks', 'FID_ATCycleTracks_Future_Buffers',\n",
       "       'dist_ATCycleTracks_Future', 'FID_UtahQualifiedOpportunityZones', 'QOZ',\n",
       "       'SHAPE_Leng_1', 'FID_ParksAndOpenSpace', 'FID', 'FID_1', 'FacilityID',\n",
       "       'SHAPE_Leng_12', 'FID_Communities', 'CommCode', 'NAME', 'COUNTYNBR',\n",
       "       'Shape__Are', 'Shape__Len', 'SHAPE'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdfUnioned.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "#manually fix higher ed\n",
    "sdfUnioned.loc[sdfUnioned['dist_SchoolsHigherEd']==0.5, 'dist_SchoolsHigherEd'] = 1.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1566302"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "sdfUnionedFiltered = sdfUnioned[(sdfUnioned['FID_Parcels']!=-1) & (sdfUnioned['FID_Communities']!=-1)]\n",
    "sdfUnionedFiltered.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "#sdfUnionedFiltered.spatial.to_featureclass(os.path.join(strGDB,\"UNIONED_FILTERED\"),sanitize_columns=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>COUNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CommCode</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AFK</th>\n",
       "      <td>45357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALP</th>\n",
       "      <td>16316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BDL</th>\n",
       "      <td>7172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BTF</th>\n",
       "      <td>21721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CDF</th>\n",
       "      <td>3516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CEN</th>\n",
       "      <td>8196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CHL</th>\n",
       "      <td>10353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CLI</th>\n",
       "      <td>11560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CLR</th>\n",
       "      <td>11909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CMT</th>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COT</th>\n",
       "      <td>17443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DRA</th>\n",
       "      <td>25395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EAG</th>\n",
       "      <td>55962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ELK</th>\n",
       "      <td>6593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FFD</th>\n",
       "      <td>3627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FRM</th>\n",
       "      <td>12835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FRR</th>\n",
       "      <td>4179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FRU</th>\n",
       "      <td>3270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GEN</th>\n",
       "      <td>4172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GOS</th>\n",
       "      <td>1462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HAR</th>\n",
       "      <td>3634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HER</th>\n",
       "      <td>18432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HGH</th>\n",
       "      <td>25417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOL</th>\n",
       "      <td>17033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOO</th>\n",
       "      <td>5457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KAY</th>\n",
       "      <td>16803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KMT</th>\n",
       "      <td>14407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LAY</th>\n",
       "      <td>36340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LEH</th>\n",
       "      <td>88081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LIN</th>\n",
       "      <td>18532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MAP</th>\n",
       "      <td>19560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MID</th>\n",
       "      <td>13292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MLC</th>\n",
       "      <td>29332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MMT</th>\n",
       "      <td>12570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MSL</th>\n",
       "      <td>3269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MUR</th>\n",
       "      <td>25208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NOG</th>\n",
       "      <td>10721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NSL</th>\n",
       "      <td>7928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OGD</th>\n",
       "      <td>44556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ORE</th>\n",
       "      <td>102878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PAY</th>\n",
       "      <td>25520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PGR</th>\n",
       "      <td>38071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLN</th>\n",
       "      <td>5465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PVO</th>\n",
       "      <td>95132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PVW</th>\n",
       "      <td>4857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ROY</th>\n",
       "      <td>18035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RVD</th>\n",
       "      <td>4871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RVT</th>\n",
       "      <td>19867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAN</th>\n",
       "      <td>46340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAQ</th>\n",
       "      <td>18693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAR</th>\n",
       "      <td>47253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SFK</th>\n",
       "      <td>46752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SJC</th>\n",
       "      <td>29992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLC</th>\n",
       "      <td>101026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLM</th>\n",
       "      <td>15895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SOG</th>\n",
       "      <td>9082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SPV</th>\n",
       "      <td>40608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SSL</th>\n",
       "      <td>14046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SUN</th>\n",
       "      <td>3116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SWE</th>\n",
       "      <td>4531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SYR</th>\n",
       "      <td>14445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAY</th>\n",
       "      <td>23623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UIN</th>\n",
       "      <td>1117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VIN</th>\n",
       "      <td>13440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WBO</th>\n",
       "      <td>4054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WCR</th>\n",
       "      <td>5733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WDL</th>\n",
       "      <td>3227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WHV</th>\n",
       "      <td>8022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WJC</th>\n",
       "      <td>49646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WMT</th>\n",
       "      <td>2909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WPT</th>\n",
       "      <td>6073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WTR</th>\n",
       "      <td>4401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WVC</th>\n",
       "      <td>55602</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           COUNT\n",
       "CommCode        \n",
       "AFK        45357\n",
       "ALP        16316\n",
       "BDL         7172\n",
       "BTF        21721\n",
       "CDF         3516\n",
       "CEN         8196\n",
       "CHL        10353\n",
       "CLI        11560\n",
       "CLR        11909\n",
       "CMT          370\n",
       "COT        17443\n",
       "DRA        25395\n",
       "EAG        55962\n",
       "ELK         6593\n",
       "FFD         3627\n",
       "FRM        12835\n",
       "FRR         4179\n",
       "FRU         3270\n",
       "GEN         4172\n",
       "GOS         1462\n",
       "HAR         3634\n",
       "HER        18432\n",
       "HGH        25417\n",
       "HOL        17033\n",
       "HOO         5457\n",
       "KAY        16803\n",
       "KMT        14407\n",
       "LAY        36340\n",
       "LEH        88081\n",
       "LIN        18532\n",
       "MAP        19560\n",
       "MID        13292\n",
       "MLC        29332\n",
       "MMT        12570\n",
       "MSL         3269\n",
       "MUR        25208\n",
       "NOG        10721\n",
       "NSL         7928\n",
       "OGD        44556\n",
       "ORE       102878\n",
       "PAY        25520\n",
       "PGR        38071\n",
       "PLN         5465\n",
       "PVO        95132\n",
       "PVW         4857\n",
       "ROY        18035\n",
       "RVD         4871\n",
       "RVT        19867\n",
       "SAN        46340\n",
       "SAQ        18693\n",
       "SAR        47253\n",
       "SFK        46752\n",
       "SJC        29992\n",
       "SLC       101026\n",
       "SLM        15895\n",
       "SOG         9082\n",
       "SPV        40608\n",
       "SSL        14046\n",
       "SUN         3116\n",
       "SWE         4531\n",
       "SYR        14445\n",
       "TAY        23623\n",
       "UIN         1117\n",
       "VIN        13440\n",
       "WBO         4054\n",
       "WCR         5733\n",
       "WDL         3227\n",
       "WHV         8022\n",
       "WJC        49646\n",
       "WMT         2909\n",
       "WPT         6073\n",
       "WTR         4401\n",
       "WVC        55602"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.set_option('display.max_rows', None)\n",
    "display(sdfUnionedFiltered.groupby(['CommCode']).agg(COUNT=('OBJECTID','size')))\n",
    "pd.set_option('display.max_rows', 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#sdfParcelPartsIDsOnly = sdfUnionedFiltered[['OBJECTID','CommCode','Shape__Are', 'Shape__Len','SHAPE']]\n",
    "#\"ParcelPartsIDsOnly\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>UNIQ_ID</th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>FID_Parcels</th>\n",
       "      <th>parcel_id</th>\n",
       "      <th>building_type</th>\n",
       "      <th>FID_Centers</th>\n",
       "      <th>AreaName</th>\n",
       "      <th>AreaType</th>\n",
       "      <th>SHAPE_Leng</th>\n",
       "      <th>FID_TAZWithATOScores</th>\n",
       "      <th>...</th>\n",
       "      <th>FID_1</th>\n",
       "      <th>FacilityID</th>\n",
       "      <th>SHAPE_Leng_12</th>\n",
       "      <th>FID_Communities</th>\n",
       "      <th>CommCode</th>\n",
       "      <th>NAME</th>\n",
       "      <th>COUNTYNBR</th>\n",
       "      <th>Shape__Are</th>\n",
       "      <th>Shape__Len</th>\n",
       "      <th>SHAPE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2930</td>\n",
       "      <td>13863</td>\n",
       "      <td>14766.0</td>\n",
       "      <td>Governmental</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29</td>\n",
       "      <td>HOO</td>\n",
       "      <td>Hooper</td>\n",
       "      <td>29</td>\n",
       "      <td>4.024017e+08</td>\n",
       "      <td>115414.297228</td>\n",
       "      <td>{\"rings\": [[[402209.3937999997, 4560107.705600...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2966</td>\n",
       "      <td>14611</td>\n",
       "      <td>15533.0</td>\n",
       "      <td>Governmental</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67</td>\n",
       "      <td>PVW</td>\n",
       "      <td>Pleasant View</td>\n",
       "      <td>29</td>\n",
       "      <td>3.222566e+07</td>\n",
       "      <td>33843.751421</td>\n",
       "      <td>{\"rings\": [[[418527.93769999966, 4577296.3585]...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3006</td>\n",
       "      <td>21393</td>\n",
       "      <td>22540.0</td>\n",
       "      <td>Agriculture</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29</td>\n",
       "      <td>HOO</td>\n",
       "      <td>Hooper</td>\n",
       "      <td>29</td>\n",
       "      <td>4.024017e+08</td>\n",
       "      <td>115414.297228</td>\n",
       "      <td>{\"rings\": [[[402190.6593000004, 4556506.257999...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3144</td>\n",
       "      <td>23583</td>\n",
       "      <td>25226.0</td>\n",
       "      <td>None</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67</td>\n",
       "      <td>PVW</td>\n",
       "      <td>Pleasant View</td>\n",
       "      <td>29</td>\n",
       "      <td>3.222566e+07</td>\n",
       "      <td>33843.751421</td>\n",
       "      <td>{\"rings\": [[[417853.13329999987, 4578114.2476]...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>3365</td>\n",
       "      <td>53920</td>\n",
       "      <td>56523.0</td>\n",
       "      <td>No Build</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>SLC</td>\n",
       "      <td>Salt Lake City</td>\n",
       "      <td>18</td>\n",
       "      <td>5.038467e+08</td>\n",
       "      <td>168892.064318</td>\n",
       "      <td>{\"rings\": [[[428847.72250000015, 4519593.5866]...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566297</th>\n",
       "      <td>1566297</td>\n",
       "      <td>1736683</td>\n",
       "      <td>575027</td>\n",
       "      <td>580297.0</td>\n",
       "      <td>Office</td>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>2682</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>69</td>\n",
       "      <td>PVO</td>\n",
       "      <td>Provo</td>\n",
       "      <td>25</td>\n",
       "      <td>1.966834e+08</td>\n",
       "      <td>118107.921172</td>\n",
       "      <td>{\"rings\": [[[444003.8855999997, 4454152.301000...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566298</th>\n",
       "      <td>1566298</td>\n",
       "      <td>1736684</td>\n",
       "      <td>575158</td>\n",
       "      <td>580430.0</td>\n",
       "      <td>Commons</td>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>2682</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>69</td>\n",
       "      <td>PVO</td>\n",
       "      <td>Provo</td>\n",
       "      <td>25</td>\n",
       "      <td>1.966834e+08</td>\n",
       "      <td>118107.921172</td>\n",
       "      <td>{\"rings\": [[[444003.8855999997, 4454152.301000...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566299</th>\n",
       "      <td>1566299</td>\n",
       "      <td>1736685</td>\n",
       "      <td>576706</td>\n",
       "      <td>582038.0</td>\n",
       "      <td>Office</td>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>2682</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>69</td>\n",
       "      <td>PVO</td>\n",
       "      <td>Provo</td>\n",
       "      <td>25</td>\n",
       "      <td>1.966834e+08</td>\n",
       "      <td>118107.921172</td>\n",
       "      <td>{\"rings\": [[[444003.8855999997, 4454152.301000...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566300</th>\n",
       "      <td>1566300</td>\n",
       "      <td>1736686</td>\n",
       "      <td>576718</td>\n",
       "      <td>582051.0</td>\n",
       "      <td>Office</td>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>2682</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>69</td>\n",
       "      <td>PVO</td>\n",
       "      <td>Provo</td>\n",
       "      <td>25</td>\n",
       "      <td>1.966834e+08</td>\n",
       "      <td>118107.921172</td>\n",
       "      <td>{\"rings\": [[[444003.8855999997, 4454152.301000...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566301</th>\n",
       "      <td>1566301</td>\n",
       "      <td>1736687</td>\n",
       "      <td>576793</td>\n",
       "      <td>582132.0</td>\n",
       "      <td>Retail</td>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>2682</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>69</td>\n",
       "      <td>PVO</td>\n",
       "      <td>Provo</td>\n",
       "      <td>25</td>\n",
       "      <td>1.966834e+08</td>\n",
       "      <td>118107.921172</td>\n",
       "      <td>{\"rings\": [[[444003.8855999997, 4454152.301000...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1566302 rows × 66 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         UNIQ_ID  OBJECTID  FID_Parcels  parcel_id building_type  FID_Centers  \\\n",
       "0              0      2930        13863    14766.0  Governmental           -1   \n",
       "1              1      2966        14611    15533.0  Governmental           -1   \n",
       "2              2      3006        21393    22540.0   Agriculture           -1   \n",
       "3              3      3144        23583    25226.0          None           -1   \n",
       "4              4      3365        53920    56523.0      No Build           -1   \n",
       "...          ...       ...          ...        ...           ...          ...   \n",
       "1566297  1566297   1736683       575027   580297.0        Office            4   \n",
       "1566298  1566298   1736684       575158   580430.0       Commons            4   \n",
       "1566299  1566299   1736685       576706   582038.0        Office            4   \n",
       "1566300  1566300   1736686       576718   582051.0        Office            4   \n",
       "1566301  1566301   1736687       576793   582132.0        Retail            4   \n",
       "\n",
       "               AreaName      AreaType    SHAPE_Leng  FID_TAZWithATOScores  \\\n",
       "0                                          0.000000                    -1   \n",
       "1                                          0.000000                    -1   \n",
       "2                                          0.000000                    -1   \n",
       "3                                          0.000000                    -1   \n",
       "4                                          0.000000                    -1   \n",
       "...                 ...           ...           ...                   ...   \n",
       "1566297  Downtown Provo  Urban Center  30147.565276                  2682   \n",
       "1566298  Downtown Provo  Urban Center  30147.565276                  2682   \n",
       "1566299  Downtown Provo  Urban Center  30147.565276                  2682   \n",
       "1566300  Downtown Provo  Urban Center  30147.565276                  2682   \n",
       "1566301  Downtown Provo  Urban Center  30147.565276                  2682   \n",
       "\n",
       "         ...  FID_1  FacilityID  SHAPE_Leng_12  FID_Communities  CommCode  \\\n",
       "0        ...      0           0            0.0               29       HOO   \n",
       "1        ...      0           0            0.0               67       PVW   \n",
       "2        ...      0           0            0.0               29       HOO   \n",
       "3        ...      0           0            0.0               67       PVW   \n",
       "4        ...      0           0            0.0                4       SLC   \n",
       "...      ...    ...         ...            ...              ...       ...   \n",
       "1566297  ...      0           0            0.0               69       PVO   \n",
       "1566298  ...      0           0            0.0               69       PVO   \n",
       "1566299  ...      0           0            0.0               69       PVO   \n",
       "1566300  ...      0           0            0.0               69       PVO   \n",
       "1566301  ...      0           0            0.0               69       PVO   \n",
       "\n",
       "                   NAME  COUNTYNBR    Shape__Are     Shape__Len  \\\n",
       "0                Hooper         29  4.024017e+08  115414.297228   \n",
       "1         Pleasant View         29  3.222566e+07   33843.751421   \n",
       "2                Hooper         29  4.024017e+08  115414.297228   \n",
       "3         Pleasant View         29  3.222566e+07   33843.751421   \n",
       "4        Salt Lake City         18  5.038467e+08  168892.064318   \n",
       "...                 ...        ...           ...            ...   \n",
       "1566297           Provo         25  1.966834e+08  118107.921172   \n",
       "1566298           Provo         25  1.966834e+08  118107.921172   \n",
       "1566299           Provo         25  1.966834e+08  118107.921172   \n",
       "1566300           Provo         25  1.966834e+08  118107.921172   \n",
       "1566301           Provo         25  1.966834e+08  118107.921172   \n",
       "\n",
       "                                                     SHAPE  \n",
       "0        {\"rings\": [[[402209.3937999997, 4560107.705600...  \n",
       "1        {\"rings\": [[[418527.93769999966, 4577296.3585]...  \n",
       "2        {\"rings\": [[[402190.6593000004, 4556506.257999...  \n",
       "3        {\"rings\": [[[417853.13329999987, 4578114.2476]...  \n",
       "4        {\"rings\": [[[428847.72250000015, 4519593.5866]...  \n",
       "...                                                    ...  \n",
       "1566297  {\"rings\": [[[444003.8855999997, 4454152.301000...  \n",
       "1566298  {\"rings\": [[[444003.8855999997, 4454152.301000...  \n",
       "1566299  {\"rings\": [[[444003.8855999997, 4454152.301000...  \n",
       "1566300  {\"rings\": [[[444003.8855999997, 4454152.301000...  \n",
       "1566301  {\"rings\": [[[444003.8855999997, 4454152.301000...  \n",
       "\n",
       "[1566302 rows x 66 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#myFCls = \"UNIONED_WEBER_FILTERED\"\n",
    "#arcpy.AddField_management(os.path.join(strGDB,\"UNIONED_FILTERED\"), \"UNIQ_ID\", \"LONG\")\n",
    "#dataDict = {}\n",
    "#i = 1\n",
    "#updateRows = arcpy.da.UpdateCursor(os.path.join(strGDB,\"UNIONED_FILTERED\"), [\"OBJECTID\", \"UNIQ_ID\"])\n",
    "#for updateRow in updateRows:\n",
    "#    if updateRow[0] not in dataDict:\n",
    "#        dataDict[updateRow[0]] = i\n",
    "#        i+=1\n",
    "#    updateRow[1] = dataDict[updateRow[0]]\n",
    "#    updateRows.updateRow(updateRow)\n",
    "#del updateRow, updateRows\n",
    "\n",
    "# create index\n",
    "sdfUnionedFiltered = sdfUnionedFiltered.reset_index()\n",
    "sdfUnionedFiltered = sdfUnionedFiltered.drop(columns=('index'))\n",
    "sdfUnionedFiltered = sdfUnionedFiltered.reset_index()\n",
    "sdfUnionedFiltered = sdfUnionedFiltered.rename(columns={'index':'UNIQ_ID'})\n",
    "sdfUnionedFiltered"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# export to csv\n",
    "#arcpy.conversion.TableToTable(\"UNIONED_WEBER_FILTERED\", \"E:\\\\GitHub\\\\Housing-Affordability-Weber-County\\\\intermediate\", \"unioned_weber_filtered.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DataFrame processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>center_code</th>\n",
       "      <th>center_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CM</td>\n",
       "      <td>Metropolitan Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CU</td>\n",
       "      <td>Urban Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CC</td>\n",
       "      <td>City Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CN</td>\n",
       "      <td>Neighborhood Center</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  center_code          center_name\n",
       "0          CM  Metropolitan Center\n",
       "1          CU         Urban Center\n",
       "2          CC          City Center\n",
       "3          CN  Neighborhood Center"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Metropolitan Center\n",
      "Urban Center\n",
      "City Center\n",
      "Neighborhood Center\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "CM     5638\n",
       "CU    35781\n",
       "CC    53615\n",
       "CN    15591\n",
       "dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "CM    1\n",
       "CU    1\n",
       "CC    1\n",
       "CN    1\n",
       "dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Centers Scores\n",
    "\n",
    "strCenterColName = 'AreaType'\n",
    "\n",
    "dfCenters = pd.DataFrame({'center_code':['CM'                 ,'CU'          ,'CC'         ,'CN'                 ],\n",
    "                          'center_name':['Metropolitan Center','Urban Center','City Center','Neighborhood Center']})\n",
    "display(dfCenters)\n",
    "\n",
    "for index, row in dfCenters.iterrows():\n",
    "    _cname = row['center_name']\n",
    "    _ccode = row['center_code']\n",
    "    print(_cname)\n",
    "    \n",
    "    sdfUnionedFiltered[_ccode] = 0\n",
    "    \n",
    "    sdfUnionedFiltered.loc[(sdfUnionedFiltered[strCenterColName]==_cname),_ccode] = 1\n",
    "    \n",
    "# sum for check\n",
    "display(sdfUnionedFiltered[['CM','CU','CC','CN']].sum())\n",
    "display(sdfUnionedFiltered[['CM','CU','CC','CN']].max())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AA    1.235543e+06\n",
       "AT    4.732289e+05\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "AA    1.0\n",
       "AT    1.0\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ATO Scores\n",
    "sdfUnionedFiltered['AA'] = sdfUnionedFiltered['ATO_Auto_Score']\n",
    "sdfUnionedFiltered['AT'] = sdfUnionedFiltered['ATO_Tran_Score']\n",
    "\n",
    "# sum for check\n",
    "display(sdfUnionedFiltered[['AA','AT']].sum())\n",
    "display(sdfUnionedFiltered[['AA','AT']].max())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>tempscore</th>\n",
       "      <th>moe</th>\n",
       "      <th>fieldname</th>\n",
       "      <th>smallest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TF1</td>\n",
       "      <td>Interchanges_Buffers</td>\n",
       "      <td>dist_Interchanges</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TF2</td>\n",
       "      <td>Interchanges_Future_Buffers</td>\n",
       "      <td>dist_Interchanges_Future</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  tempscore                          moe                 fieldname  smallest\n",
       "0       TF1         Interchanges_Buffers         dist_Interchanges       0.5\n",
       "1       TF2  Interchanges_Future_Buffers  dist_Interchanges_Future       0.5"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>tempscore</th>\n",
       "      <th>moe</th>\n",
       "      <th>fieldname</th>\n",
       "      <th>smallest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TA1</td>\n",
       "      <td>ATPaths_Buffers</td>\n",
       "      <td>dist_ATPaths</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TA2</td>\n",
       "      <td>ATPaths_Future_Buffers</td>\n",
       "      <td>dist_ATPaths_Future</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TA3</td>\n",
       "      <td>ATCycleTracks_Buffers</td>\n",
       "      <td>dist_ATCycleTracks</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TA4</td>\n",
       "      <td>ATCycleTracks_Future_Buffers</td>\n",
       "      <td>dist_ATCycleTracks_Future</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  tempscore                           moe                  fieldname  smallest\n",
       "0       TA1               ATPaths_Buffers               dist_ATPaths       0.5\n",
       "1       TA2        ATPaths_Future_Buffers        dist_ATPaths_Future       0.5\n",
       "2       TA3         ATCycleTracks_Buffers         dist_ATCycleTracks       0.5\n",
       "3       TA4  ATCycleTracks_Future_Buffers  dist_ATCycleTracks_Future       0.5"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "TT      388296.50\n",
       "TF1     275737.75\n",
       "TF2      74707.25\n",
       "TF      324964.50\n",
       "TA     1388629.75\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "TT     1.0\n",
       "TF1    1.0\n",
       "TF2    1.0\n",
       "TF     1.0\n",
       "TA     1.0\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Transportation Scores\n",
    "\n",
    "sdfUnionedFiltered['TT'] = 0\n",
    "# Transit only has single buffers\n",
    "# local bus get 1/2 score, all other gets full score\n",
    "sdfUnionedFiltered.loc[ (sdfUnionedFiltered['FID_LocalBusStops_Buffers'  ]!=-1) ,'TT'] = 0.5\n",
    "# local bus values are overwritten by other modes\n",
    "sdfUnionedFiltered.loc[((sdfUnionedFiltered['FID_BRTStops_Buffers'       ]!=-1) |\n",
    "                        (sdfUnionedFiltered['FID_BRTStops_Future_Buffers']!=-1) |\n",
    "                        (sdfUnionedFiltered['FID_LRTStops_Buffers'       ]!=-1) |\n",
    "                        (sdfUnionedFiltered['FID_LRTStops_Future_Buffers']!=-1) |\n",
    "                        (sdfUnionedFiltered['FID_CRTStops_Buffers'       ]!=-1) |\n",
    "                        (sdfUnionedFiltered['FID_CRTStops_Future_Buffers']!=-1)),'TT'] = 1\n",
    "\n",
    "\n",
    "# Freeway Access\n",
    "dfFreewayAccess = pd.DataFrame({'tempscore' :['TF1'                                    ,'TF2'                                    ],\n",
    "                                'moe'       :['Interchanges_Buffers'                   ,'Interchanges_Future_Buffers'            ],\n",
    "                                'fieldname' :[getLayerDistField(strInterchangesOut_Cur),getLayerDistField(strInterchangesOut_Fut)],\n",
    "                                'smallest'  :[0.5                                      ,0.5                                      ]})\n",
    "                                # smallest buffer\n",
    "display(dfFreewayAccess)\n",
    "\n",
    "# future\n",
    "\n",
    "for index, row in dfFreewayAccess.iterrows():\n",
    "    sdfUnionedFiltered[row['tempscore']] = 1 / (sdfUnionedFiltered[row['fieldname']] * (1 / row['smallest'])) # equation insures smallest buffer score is always 1\n",
    "    sdfUnionedFiltered[row['tempscore']].replace([np.inf, -np.inf], 0, inplace=True)\n",
    "    \n",
    "sdfUnionedFiltered['TF'] = sdfUnionedFiltered[dfFreewayAccess['tempscore'].tolist()].values.max(1)\n",
    "\n",
    "# Active Transportation Access \n",
    "dfATAccess = pd.DataFrame({'tempscore' :['TA1'                             ,'TA2'                             ,'TA3'                                     ,'TA4'                                     ],\n",
    "                           'moe'       :['ATPaths_Buffers'                 ,'ATPaths_Future_Buffers'          ,'ATCycleTracks_Buffers'                   ,'ATCycleTracks_Future_Buffers'            ],\n",
    "                           'fieldname' :[getLayerDistField(strPathsOut_Cur),getLayerDistField(strPathsOut_Fut),getLayerDistField(strATCycleTracksOut_Cur),getLayerDistField(strATCycleTracksOut_Fut)],\n",
    "                           'smallest'  :[0.5                               ,0.5                               ,0.5                                       ,0.5                                       ]})\n",
    "                            #multiplier is equal to 1 / the largest buffer distance                  \n",
    "display(dfATAccess)\n",
    "\n",
    "for index, row in dfATAccess.iterrows():\n",
    "    sdfUnionedFiltered[row['tempscore']] = 1 / (sdfUnionedFiltered[row['fieldname']] * (1 / row['smallest'])) # equation insures smallest buffer score is always 1\n",
    "    sdfUnionedFiltered[row['tempscore']].replace([np.inf, -np.inf], 0, inplace=True)\n",
    "\n",
    "sdfUnionedFiltered['TA'] = sdfUnionedFiltered[dfATAccess['tempscore'].tolist()].values.max(1)\n",
    "\n",
    "# sum for check\n",
    "display(sdfUnionedFiltered[['TT','TF1','TF2','TF','TA']].sum())\n",
    "display(sdfUnionedFiltered[['TT','TF1','TF2','TF','TA']].max())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>UNIQ_ID</th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>FID_Parcels</th>\n",
       "      <th>parcel_id</th>\n",
       "      <th>building_type</th>\n",
       "      <th>FID_Centers</th>\n",
       "      <th>AreaName</th>\n",
       "      <th>AreaType</th>\n",
       "      <th>SHAPE_Leng</th>\n",
       "      <th>FID_TAZWithATOScores</th>\n",
       "      <th>...</th>\n",
       "      <th>AT</th>\n",
       "      <th>TT</th>\n",
       "      <th>TF1</th>\n",
       "      <th>TF2</th>\n",
       "      <th>TF</th>\n",
       "      <th>TA1</th>\n",
       "      <th>TA2</th>\n",
       "      <th>TA3</th>\n",
       "      <th>TA4</th>\n",
       "      <th>TA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2930</td>\n",
       "      <td>13863</td>\n",
       "      <td>14766.0</td>\n",
       "      <td>Governmental</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2966</td>\n",
       "      <td>14611</td>\n",
       "      <td>15533.0</td>\n",
       "      <td>Governmental</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3006</td>\n",
       "      <td>21393</td>\n",
       "      <td>22540.0</td>\n",
       "      <td>Agriculture</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3144</td>\n",
       "      <td>23583</td>\n",
       "      <td>25226.0</td>\n",
       "      <td>None</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>3365</td>\n",
       "      <td>53920</td>\n",
       "      <td>56523.0</td>\n",
       "      <td>No Build</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566297</th>\n",
       "      <td>1566297</td>\n",
       "      <td>1736683</td>\n",
       "      <td>575027</td>\n",
       "      <td>580297.0</td>\n",
       "      <td>Office</td>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>2682</td>\n",
       "      <td>...</td>\n",
       "      <td>0.925136</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566298</th>\n",
       "      <td>1566298</td>\n",
       "      <td>1736684</td>\n",
       "      <td>575158</td>\n",
       "      <td>580430.0</td>\n",
       "      <td>Commons</td>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>2682</td>\n",
       "      <td>...</td>\n",
       "      <td>0.925136</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566299</th>\n",
       "      <td>1566299</td>\n",
       "      <td>1736685</td>\n",
       "      <td>576706</td>\n",
       "      <td>582038.0</td>\n",
       "      <td>Office</td>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>2682</td>\n",
       "      <td>...</td>\n",
       "      <td>0.925136</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566300</th>\n",
       "      <td>1566300</td>\n",
       "      <td>1736686</td>\n",
       "      <td>576718</td>\n",
       "      <td>582051.0</td>\n",
       "      <td>Office</td>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>2682</td>\n",
       "      <td>...</td>\n",
       "      <td>0.925136</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566301</th>\n",
       "      <td>1566301</td>\n",
       "      <td>1736687</td>\n",
       "      <td>576793</td>\n",
       "      <td>582132.0</td>\n",
       "      <td>Retail</td>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>2682</td>\n",
       "      <td>...</td>\n",
       "      <td>0.925136</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1566302 rows × 81 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         UNIQ_ID  OBJECTID  FID_Parcels  parcel_id building_type  FID_Centers  \\\n",
       "0              0      2930        13863    14766.0  Governmental           -1   \n",
       "1              1      2966        14611    15533.0  Governmental           -1   \n",
       "2              2      3006        21393    22540.0   Agriculture           -1   \n",
       "3              3      3144        23583    25226.0          None           -1   \n",
       "4              4      3365        53920    56523.0      No Build           -1   \n",
       "...          ...       ...          ...        ...           ...          ...   \n",
       "1566297  1566297   1736683       575027   580297.0        Office            4   \n",
       "1566298  1566298   1736684       575158   580430.0       Commons            4   \n",
       "1566299  1566299   1736685       576706   582038.0        Office            4   \n",
       "1566300  1566300   1736686       576718   582051.0        Office            4   \n",
       "1566301  1566301   1736687       576793   582132.0        Retail            4   \n",
       "\n",
       "               AreaName      AreaType    SHAPE_Leng  FID_TAZWithATOScores  \\\n",
       "0                                          0.000000                    -1   \n",
       "1                                          0.000000                    -1   \n",
       "2                                          0.000000                    -1   \n",
       "3                                          0.000000                    -1   \n",
       "4                                          0.000000                    -1   \n",
       "...                 ...           ...           ...                   ...   \n",
       "1566297  Downtown Provo  Urban Center  30147.565276                  2682   \n",
       "1566298  Downtown Provo  Urban Center  30147.565276                  2682   \n",
       "1566299  Downtown Provo  Urban Center  30147.565276                  2682   \n",
       "1566300  Downtown Provo  Urban Center  30147.565276                  2682   \n",
       "1566301  Downtown Provo  Urban Center  30147.565276                  2682   \n",
       "\n",
       "         ...        AT   TT   TF1  TF2    TF  TA1  TA2  TA3  TA4   TA  \n",
       "0        ...  0.000000  0.0  0.00  0.0  0.00  0.0  0.0  0.0  0.0  0.0  \n",
       "1        ...  0.000000  0.0  0.00  0.0  0.00  0.0  0.0  0.0  0.0  0.0  \n",
       "2        ...  0.000000  0.0  0.00  0.0  0.00  0.0  0.0  0.0  0.0  0.0  \n",
       "3        ...  0.000000  0.0  0.00  0.0  0.00  0.0  0.0  0.0  0.0  0.0  \n",
       "4        ...  0.000000  0.0  0.00  0.0  0.00  0.0  0.0  0.0  0.0  0.0  \n",
       "...      ...       ...  ...   ...  ...   ...  ...  ...  ...  ...  ...  \n",
       "1566297  ...  0.925136  1.0  0.25  0.0  0.25  1.0  0.0  0.0  0.0  1.0  \n",
       "1566298  ...  0.925136  1.0  0.25  0.0  0.25  1.0  0.0  0.0  0.0  1.0  \n",
       "1566299  ...  0.925136  1.0  0.25  0.0  0.25  1.0  0.0  0.0  0.0  1.0  \n",
       "1566300  ...  0.925136  1.0  0.25  0.0  0.25  1.0  0.0  0.0  0.0  1.0  \n",
       "1566301  ...  0.925136  1.0  0.25  0.0  0.25  1.0  0.0  0.0  0.0  1.0  \n",
       "\n",
       "[1566302 rows x 81 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdfUnionedFiltered"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Amenities Scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>scorename</th>\n",
       "      <th>distfield</th>\n",
       "      <th>smallest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AC</td>\n",
       "      <td>dist_ChildCare</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AH</td>\n",
       "      <td>dist_HealthCare</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AG</td>\n",
       "      <td>dist_GroceryStores</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AM</td>\n",
       "      <td>dist_CommunityCenter</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  scorename             distfield  smallest\n",
       "0        AC        dist_ChildCare       0.5\n",
       "1        AH       dist_HealthCare       0.5\n",
       "2        AG    dist_GroceryStores       0.5\n",
       "3        AM  dist_CommunityCenter       0.5"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        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>tempscore</th>\n",
       "      <th>moe</th>\n",
       "      <th>fieldname</th>\n",
       "      <th>smallest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AE1</td>\n",
       "      <td>SchoolsRegPublic_Buffers</td>\n",
       "      <td>dist_SchoolsRegPublic</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AE2</td>\n",
       "      <td>SchoolsHigherEd_Buffers</td>\n",
       "      <td>dist_SchoolsHigherEd</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  tempscore                       moe              fieldname  smallest\n",
       "0       AE1  SchoolsRegPublic_Buffers  dist_SchoolsRegPublic       0.5\n",
       "1       AE2  SchoolsHigherEd_Buffers    dist_SchoolsHigherEd       1.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "AC     664830.50\n",
       "AH     417622.00\n",
       "AE1    961533.00\n",
       "AE2    217462.00\n",
       "AE     994876.50\n",
       "AG     692023.00\n",
       "AP     700328.00\n",
       "AM     445898.75\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "AC     1.0\n",
       "AH     1.0\n",
       "AE1    1.0\n",
       "AE2    1.0\n",
       "AE     1.0\n",
       "AG     1.0\n",
       "AP     1.0\n",
       "AM     1.0\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#score multipliers - match to buffers above - so that max is always 1.0\n",
    "#                                         Child Care                         Healthcare                          Grocery                          Community Center\n",
    "dfAmenities = pd.DataFrame({'scorename' :['AC'                              ,'AH'                               ,'AG'                            ,'AM'                                    ],\n",
    "                            'distfield' :[getLayerDistField(strChildCareOut),getLayerDistField(strHealthCareOut),getLayerDistField(strGroceryOut),getLayerDistField(strCommunityCenterOut)],\n",
    "                            'smallest'  :[0.5                               ,0.5                                ,0.5                             ,0.5                                     ]})\n",
    "\n",
    "display(dfAmenities)\n",
    "\n",
    "for index, row in dfAmenities.iterrows():\n",
    "    sdfUnionedFiltered[row['scorename']] = 1 / (sdfUnionedFiltered[row['distfield']] * (1 / row['smallest']))\n",
    "    sdfUnionedFiltered[row['scorename']].replace([np.inf, -np.inf], 0, inplace=True)\n",
    "\n",
    "# Education Access\n",
    "dfEducation = pd.DataFrame({'tempscore' :['AE1'                                  ,'AE2'                                  ],\n",
    "                            'moe'       :['SchoolsRegPublic_Buffers'             ,'SchoolsHigherEd_Buffers '             ],\n",
    "                            'fieldname' :[getLayerDistField(strSchoolsOut_RegPub),getLayerDistField(strSchoolsOut_HighEd)],\n",
    "                            'smallest'  :[0.5                                    ,1                                      ]})\n",
    "                            # smallest buffer size\n",
    "\n",
    "display(dfEducation)\n",
    "\n",
    "for index, row in dfEducation.iterrows():\n",
    "    sdfUnionedFiltered[row['tempscore']] = 1 / (sdfUnionedFiltered[row['fieldname']] * (1 / row['smallest'])) # equation insures smallest buffer score is always 1\n",
    "    sdfUnionedFiltered[row['tempscore']].replace([np.inf, -np.inf], 0, inplace=True)\n",
    "\n",
    "sdfUnionedFiltered['AE'] = sdfUnionedFiltered[dfEducation['tempscore'].tolist()].values.max(1)\n",
    "\n",
    "\n",
    "# Parks and Open Space\n",
    "\n",
    "sdfUnionedFiltered['AP'] = 0\n",
    "    \n",
    "sdfUnionedFiltered.loc[(sdfUnionedFiltered['FID_ParksAndOpenSpace']==1),'AP'] = 1\n",
    "\n",
    "\n",
    "# sum for check\n",
    "display(sdfUnionedFiltered[['AC','AH','AE1','AE2','AE','AG','AP','AM']].sum())\n",
    "display(sdfUnionedFiltered[['AC','AH','AE1','AE2','AE','AG','AP','AM']].max())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Opportunity Zone"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Parks and Open Space\n",
    "\n",
    "sdfUnionedFiltered['OZ'] = 0\n",
    "    \n",
    "sdfUnionedFiltered.loc[(sdfUnionedFiltered['FID_UtahQualifiedOpportunityZones']!=-1),'OZ'] = 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Building Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BC</th>\n",
       "      <th>building_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AG</td>\n",
       "      <td>Agriculture</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>EM</td>\n",
       "      <td>Empty Buildable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>OS</td>\n",
       "      <td>Open Space Non-Buildable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CH</td>\n",
       "      <td>Church</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SF</td>\n",
       "      <td>Single Family Res</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>OF</td>\n",
       "      <td>Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>IN</td>\n",
       "      <td>Industrial</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>OT</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>UT</td>\n",
       "      <td>Utilities</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NB</td>\n",
       "      <td>No Build</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>16 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    BC             building_type\n",
       "0   AG               Agriculture\n",
       "1   EM           Empty Buildable\n",
       "2   OS  Open Space Non-Buildable\n",
       "3   CH                    Church\n",
       "4   SF         Single Family Res\n",
       "..  ..                       ...\n",
       "11  OF                    Office\n",
       "12  IN                Industrial\n",
       "13  OT                     Other\n",
       "14  UT                 Utilities\n",
       "15  NB                  No Build\n",
       "\n",
       "[16 rows x 2 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "      <th>UNIQ_ID</th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>FID_Parcels</th>\n",
       "      <th>parcel_id</th>\n",
       "      <th>building_type</th>\n",
       "      <th>FID_Centers</th>\n",
       "      <th>AreaName</th>\n",
       "      <th>AreaType</th>\n",
       "      <th>SHAPE_Leng</th>\n",
       "      <th>FID_TAZWithATOScores</th>\n",
       "      <th>...</th>\n",
       "      <th>AC</th>\n",
       "      <th>AH</th>\n",
       "      <th>AG</th>\n",
       "      <th>AM</th>\n",
       "      <th>AE1</th>\n",
       "      <th>AE2</th>\n",
       "      <th>AE</th>\n",
       "      <th>AP</th>\n",
       "      <th>OZ</th>\n",
       "      <th>BC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2930</td>\n",
       "      <td>13863</td>\n",
       "      <td>14766.0</td>\n",
       "      <td>Governmental</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>GO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2966</td>\n",
       "      <td>14611</td>\n",
       "      <td>15533.0</td>\n",
       "      <td>Governmental</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>GO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3006</td>\n",
       "      <td>21393</td>\n",
       "      <td>22540.0</td>\n",
       "      <td>Agriculture</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>AG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3144</td>\n",
       "      <td>23583</td>\n",
       "      <td>25226.0</td>\n",
       "      <td>None</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>3365</td>\n",
       "      <td>53920</td>\n",
       "      <td>56523.0</td>\n",
       "      <td>No Build</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566297</th>\n",
       "      <td>1566297</td>\n",
       "      <td>1736683</td>\n",
       "      <td>575027</td>\n",
       "      <td>580297.0</td>\n",
       "      <td>Office</td>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>2682</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>OF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566298</th>\n",
       "      <td>1566298</td>\n",
       "      <td>1736684</td>\n",
       "      <td>575158</td>\n",
       "      <td>580430.0</td>\n",
       "      <td>Commons</td>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>2682</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566299</th>\n",
       "      <td>1566299</td>\n",
       "      <td>1736685</td>\n",
       "      <td>576706</td>\n",
       "      <td>582038.0</td>\n",
       "      <td>Office</td>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>2682</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>OF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566300</th>\n",
       "      <td>1566300</td>\n",
       "      <td>1736686</td>\n",
       "      <td>576718</td>\n",
       "      <td>582051.0</td>\n",
       "      <td>Office</td>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>2682</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>OF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566301</th>\n",
       "      <td>1566301</td>\n",
       "      <td>1736687</td>\n",
       "      <td>576793</td>\n",
       "      <td>582132.0</td>\n",
       "      <td>Retail</td>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Provo</td>\n",
       "      <td>Urban Center</td>\n",
       "      <td>30147.565276</td>\n",
       "      <td>2682</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>RE</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1566302 rows × 91 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         UNIQ_ID  OBJECTID  FID_Parcels  parcel_id building_type  FID_Centers  \\\n",
       "0              0      2930        13863    14766.0  Governmental           -1   \n",
       "1              1      2966        14611    15533.0  Governmental           -1   \n",
       "2              2      3006        21393    22540.0   Agriculture           -1   \n",
       "3              3      3144        23583    25226.0          None           -1   \n",
       "4              4      3365        53920    56523.0      No Build           -1   \n",
       "...          ...       ...          ...        ...           ...          ...   \n",
       "1566297  1566297   1736683       575027   580297.0        Office            4   \n",
       "1566298  1566298   1736684       575158   580430.0       Commons            4   \n",
       "1566299  1566299   1736685       576706   582038.0        Office            4   \n",
       "1566300  1566300   1736686       576718   582051.0        Office            4   \n",
       "1566301  1566301   1736687       576793   582132.0        Retail            4   \n",
       "\n",
       "               AreaName      AreaType    SHAPE_Leng  FID_TAZWithATOScores  \\\n",
       "0                                          0.000000                    -1   \n",
       "1                                          0.000000                    -1   \n",
       "2                                          0.000000                    -1   \n",
       "3                                          0.000000                    -1   \n",
       "4                                          0.000000                    -1   \n",
       "...                 ...           ...           ...                   ...   \n",
       "1566297  Downtown Provo  Urban Center  30147.565276                  2682   \n",
       "1566298  Downtown Provo  Urban Center  30147.565276                  2682   \n",
       "1566299  Downtown Provo  Urban Center  30147.565276                  2682   \n",
       "1566300  Downtown Provo  Urban Center  30147.565276                  2682   \n",
       "1566301  Downtown Provo  Urban Center  30147.565276                  2682   \n",
       "\n",
       "         ...   AC   AH   AG   AM  AE1  AE2   AE  AP  OZ  BC  \n",
       "0        ...  0.0  0.0  0.0  0.0  0.0  0.0  0.0   0   0  GO  \n",
       "1        ...  0.0  0.0  0.0  0.0  0.0  0.0  0.0   0   0  GO  \n",
       "2        ...  0.0  0.0  0.0  0.0  0.0  0.0  0.0   0   0  AG  \n",
       "3        ...  0.0  0.0  0.0  0.0  0.0  0.0  0.0   0   0  NO  \n",
       "4        ...  0.0  0.0  0.0  0.0  0.0  0.0  0.0   0   0  NB  \n",
       "...      ...  ...  ...  ...  ...  ...  ...  ...  ..  ..  ..  \n",
       "1566297  ...  1.0  1.0  1.0  1.0  0.5  0.5  0.5   0   1  OF  \n",
       "1566298  ...  1.0  1.0  1.0  1.0  0.5  0.5  0.5   0   1  NO  \n",
       "1566299  ...  1.0  1.0  1.0  1.0  0.5  0.5  0.5   0   1  OF  \n",
       "1566300  ...  1.0  1.0  1.0  1.0  0.5  0.5  0.5   0   1  OF  \n",
       "1566301  ...  1.0  1.0  1.0  1.0  0.5  0.5  0.5   0   1  RE  \n",
       "\n",
       "[1566302 rows x 91 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dBuildingCodes= [\n",
    "    [\"AG\",\"Agriculture\"             ], \n",
    "    [\"EM\",\"Empty Buildable\"         ],\n",
    "    [\"OS\",\"Open Space Non-Buildable\"],\n",
    "    [\"CH\",\"Church\"                  ],\n",
    "    [\"SF\",\"Single Family Res\"       ],\n",
    "    [\"MF\",\"Multi Family Res\"        ],\n",
    "    [\"GQ\",\"Group Quarters\"          ],\n",
    "    [\"GO\",\"Governmental\"            ],\n",
    "    [\"ED\",\"Educational\"             ],\n",
    "    [\"HE\",\"Healthcare\"              ],\n",
    "    [\"RE\",\"Retail\"                  ],\n",
    "    [\"OF\",\"Office\"                  ],\n",
    "    [\"IN\",\"Industrial\"              ],\n",
    "    [\"OT\",\"Other\"                   ],\n",
    "    [\"UT\",\"Utilities\"               ],\n",
    "    [\"NB\",\"No Build\"                ]\n",
    "]\n",
    "\n",
    "dfBuildingCodes = pd.DataFrame(dBuildingCodes, columns = ['BC','building_type'])\n",
    "display(dfBuildingCodes)\n",
    "\n",
    "\n",
    "sdfUnionedFilteredWithBC = pd.DataFrame.merge(sdfUnionedFiltered,dfBuildingCodes,on='building_type',how='left')\n",
    "sdfUnionedFilteredWithBC['BC'] = sdfUnionedFilteredWithBC['BC'].fillna('NO')\n",
    "sdfUnionedFilteredWithBC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['UNIQ_ID', 'OBJECTID', 'FID_Parcels', 'parcel_id', 'building_type',\n",
       "       'FID_Centers', 'AreaName', 'AreaType', 'SHAPE_Leng',\n",
       "       'FID_TAZWithATOScores', 'CO_TAZID', 'ATO_Auto_Score', 'ATO_Tran_Score',\n",
       "       'FID_Interchanges_Buffers', 'dist_Interchanges',\n",
       "       'FID_Interchanges_Future_Buffers', 'dist_Interchanges_Future',\n",
       "       'FID_LocalBusStops_Buffers', 'dist_LocalBusStops',\n",
       "       'FID_BRTStops_Buffers', 'dist_BRTStops', 'FID_BRTStops_Future_Buffers',\n",
       "       'dist_BRTStops_Future', 'FID_LRTStops_Buffers', 'dist_LRTStops',\n",
       "       'FID_LRTStops_Future_Buffers', 'dist_LRTStops_Future',\n",
       "       'FID_CRTStops_Buffers', 'dist_CRTStops', 'FID_CRTStops_Future_Buffers',\n",
       "       'dist_CRTStops_Future', 'FID_ChildCare_Buffers', 'dist_ChildCare',\n",
       "       'FID_HealthCare_Buffers', 'dist_HealthCare',\n",
       "       'FID_SchoolsRegPublic_Buffers', 'dist_SchoolsRegPublic',\n",
       "       'FID_SchoolsHigherEd_Buffers', 'dist_SchoolsHigherEd',\n",
       "       'FID_GroceryStores_Buffers', 'dist_GroceryStores',\n",
       "       'FID_CommunityCenter_Buffers', 'dist_CommunityCenter',\n",
       "       'FID_ATPaths_Buffers', 'dist_ATPaths', 'FID_ATPaths_Future_Buffers',\n",
       "       'dist_ATPaths_Future', 'FID_ATCycleTracks_Buffers',\n",
       "       'dist_ATCycleTracks', 'FID_ATCycleTracks_Future_Buffers',\n",
       "       'dist_ATCycleTracks_Future', 'FID_UtahQualifiedOpportunityZones', 'QOZ',\n",
       "       'SHAPE_Leng_1', 'FID_ParksAndOpenSpace', 'FID', 'FID_1', 'FacilityID',\n",
       "       'SHAPE_Leng_12', 'FID_Communities', 'CommCode', 'NAME', 'COUNTYNBR',\n",
       "       'Shape__Are', 'Shape__Len', 'SHAPE', 'CM', 'CU', 'CC', 'CN', 'AA', 'AT',\n",
       "       'TT', 'TF1', 'TF2', 'TF', 'TA1', 'TA2', 'TA3', 'TA4', 'TA', 'AC', 'AH',\n",
       "       'AG', 'AM', 'AE1', 'AE2', 'AE', 'AP', 'OZ', 'BC'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdfUnionedFilteredWithBC.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>OBJECTID</th>\n",
       "      <th>UNIQ_ID</th>\n",
       "      <th>CommCode</th>\n",
       "      <th>COUNTYNBR</th>\n",
       "      <th>BC</th>\n",
       "      <th>OZ</th>\n",
       "      <th>CM</th>\n",
       "      <th>CU</th>\n",
       "      <th>CC</th>\n",
       "      <th>CN</th>\n",
       "      <th>...</th>\n",
       "      <th>TA</th>\n",
       "      <th>AC</th>\n",
       "      <th>AH</th>\n",
       "      <th>AE</th>\n",
       "      <th>AG</th>\n",
       "      <th>AP</th>\n",
       "      <th>AM</th>\n",
       "      <th>SHAPE</th>\n",
       "      <th>Shape__Are</th>\n",
       "      <th>Shape__Len</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2930</td>\n",
       "      <td>0</td>\n",
       "      <td>HOO</td>\n",
       "      <td>29</td>\n",
       "      <td>GO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>{'rings': [[[402209.3937999997, 4560107.705600...</td>\n",
       "      <td>4.024017e+08</td>\n",
       "      <td>115414.297228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2966</td>\n",
       "      <td>1</td>\n",
       "      <td>PVW</td>\n",
       "      <td>29</td>\n",
       "      <td>GO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>{'rings': [[[418527.93769999966, 4577296.3585]...</td>\n",
       "      <td>3.222566e+07</td>\n",
       "      <td>33843.751421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3006</td>\n",
       "      <td>2</td>\n",
       "      <td>HOO</td>\n",
       "      <td>29</td>\n",
       "      <td>AG</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>{'rings': [[[402190.6593000004, 4556506.257999...</td>\n",
       "      <td>4.024017e+08</td>\n",
       "      <td>115414.297228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3144</td>\n",
       "      <td>3</td>\n",
       "      <td>PVW</td>\n",
       "      <td>29</td>\n",
       "      <td>NO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>{'rings': [[[417853.13329999987, 4578114.2476]...</td>\n",
       "      <td>3.222566e+07</td>\n",
       "      <td>33843.751421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3365</td>\n",
       "      <td>4</td>\n",
       "      <td>SLC</td>\n",
       "      <td>18</td>\n",
       "      <td>NB</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>{'rings': [[[428847.72250000015, 4519593.5866]...</td>\n",
       "      <td>5.038467e+08</td>\n",
       "      <td>168892.064318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566297</th>\n",
       "      <td>1736683</td>\n",
       "      <td>1566297</td>\n",
       "      <td>PVO</td>\n",
       "      <td>25</td>\n",
       "      <td>OF</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>{'rings': [[[444003.8855999997, 4454152.301000...</td>\n",
       "      <td>1.966834e+08</td>\n",
       "      <td>118107.921172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566298</th>\n",
       "      <td>1736684</td>\n",
       "      <td>1566298</td>\n",
       "      <td>PVO</td>\n",
       "      <td>25</td>\n",
       "      <td>NO</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>{'rings': [[[444003.8855999997, 4454152.301000...</td>\n",
       "      <td>1.966834e+08</td>\n",
       "      <td>118107.921172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566299</th>\n",
       "      <td>1736685</td>\n",
       "      <td>1566299</td>\n",
       "      <td>PVO</td>\n",
       "      <td>25</td>\n",
       "      <td>OF</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>{'rings': [[[444003.8855999997, 4454152.301000...</td>\n",
       "      <td>1.966834e+08</td>\n",
       "      <td>118107.921172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566300</th>\n",
       "      <td>1736686</td>\n",
       "      <td>1566300</td>\n",
       "      <td>PVO</td>\n",
       "      <td>25</td>\n",
       "      <td>OF</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>{'rings': [[[444003.8855999997, 4454152.301000...</td>\n",
       "      <td>1.966834e+08</td>\n",
       "      <td>118107.921172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566301</th>\n",
       "      <td>1736687</td>\n",
       "      <td>1566301</td>\n",
       "      <td>PVO</td>\n",
       "      <td>25</td>\n",
       "      <td>RE</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>{'rings': [[[444003.8855999997, 4454152.301000...</td>\n",
       "      <td>1.966834e+08</td>\n",
       "      <td>118107.921172</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1566302 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         OBJECTID  UNIQ_ID CommCode COUNTYNBR  BC  OZ  CM  CU  CC  CN  ...  \\\n",
       "0            2930        0      HOO        29  GO   0   0   0   0   0  ...   \n",
       "1            2966        1      PVW        29  GO   0   0   0   0   0  ...   \n",
       "2            3006        2      HOO        29  AG   0   0   0   0   0  ...   \n",
       "3            3144        3      PVW        29  NO   0   0   0   0   0  ...   \n",
       "4            3365        4      SLC        18  NB   0   0   0   0   0  ...   \n",
       "...           ...      ...      ...       ...  ..  ..  ..  ..  ..  ..  ...   \n",
       "1566297   1736683  1566297      PVO        25  OF   1   0   1   0   0  ...   \n",
       "1566298   1736684  1566298      PVO        25  NO   1   0   1   0   0  ...   \n",
       "1566299   1736685  1566299      PVO        25  OF   1   0   1   0   0  ...   \n",
       "1566300   1736686  1566300      PVO        25  OF   1   0   1   0   0  ...   \n",
       "1566301   1736687  1566301      PVO        25  RE   1   0   1   0   0  ...   \n",
       "\n",
       "          TA   AC   AH   AE   AG  AP   AM  \\\n",
       "0        0.0  0.0  0.0  0.0  0.0   0  0.0   \n",
       "1        0.0  0.0  0.0  0.0  0.0   0  0.0   \n",
       "2        0.0  0.0  0.0  0.0  0.0   0  0.0   \n",
       "3        0.0  0.0  0.0  0.0  0.0   0  0.0   \n",
       "4        0.0  0.0  0.0  0.0  0.0   0  0.0   \n",
       "...      ...  ...  ...  ...  ...  ..  ...   \n",
       "1566297  1.0  1.0  1.0  0.5  1.0   0  1.0   \n",
       "1566298  1.0  1.0  1.0  0.5  1.0   0  1.0   \n",
       "1566299  1.0  1.0  1.0  0.5  1.0   0  1.0   \n",
       "1566300  1.0  1.0  1.0  0.5  1.0   0  1.0   \n",
       "1566301  1.0  1.0  1.0  0.5  1.0   0  1.0   \n",
       "\n",
       "                                                     SHAPE    Shape__Are  \\\n",
       "0        {'rings': [[[402209.3937999997, 4560107.705600...  4.024017e+08   \n",
       "1        {'rings': [[[418527.93769999966, 4577296.3585]...  3.222566e+07   \n",
       "2        {'rings': [[[402190.6593000004, 4556506.257999...  4.024017e+08   \n",
       "3        {'rings': [[[417853.13329999987, 4578114.2476]...  3.222566e+07   \n",
       "4        {'rings': [[[428847.72250000015, 4519593.5866]...  5.038467e+08   \n",
       "...                                                    ...           ...   \n",
       "1566297  {'rings': [[[444003.8855999997, 4454152.301000...  1.966834e+08   \n",
       "1566298  {'rings': [[[444003.8855999997, 4454152.301000...  1.966834e+08   \n",
       "1566299  {'rings': [[[444003.8855999997, 4454152.301000...  1.966834e+08   \n",
       "1566300  {'rings': [[[444003.8855999997, 4454152.301000...  1.966834e+08   \n",
       "1566301  {'rings': [[[444003.8855999997, 4454152.301000...  1.966834e+08   \n",
       "\n",
       "            Shape__Len  \n",
       "0        115414.297228  \n",
       "1         33843.751421  \n",
       "2        115414.297228  \n",
       "3         33843.751421  \n",
       "4        168892.064318  \n",
       "...                ...  \n",
       "1566297  118107.921172  \n",
       "1566298  118107.921172  \n",
       "1566299  118107.921172  \n",
       "1566300  118107.921172  \n",
       "1566301  118107.921172  \n",
       "\n",
       "[1566302 rows x 24 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>UNIQ_ID</th>\n",
       "      <th>OZ</th>\n",
       "      <th>CM</th>\n",
       "      <th>CU</th>\n",
       "      <th>CC</th>\n",
       "      <th>CN</th>\n",
       "      <th>AA</th>\n",
       "      <th>AT</th>\n",
       "      <th>TT</th>\n",
       "      <th>TF</th>\n",
       "      <th>TA</th>\n",
       "      <th>AC</th>\n",
       "      <th>AH</th>\n",
       "      <th>AE</th>\n",
       "      <th>AG</th>\n",
       "      <th>AP</th>\n",
       "      <th>AM</th>\n",
       "      <th>Shape__Are</th>\n",
       "      <th>Shape__Len</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "      <td>1.566302e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>9.007182e+05</td>\n",
       "      <td>7.831505e+05</td>\n",
       "      <td>4.983905e-02</td>\n",
       "      <td>3.599561e-03</td>\n",
       "      <td>2.284425e-02</td>\n",
       "      <td>3.423031e-02</td>\n",
       "      <td>9.954019e-03</td>\n",
       "      <td>7.888283e-01</td>\n",
       "      <td>3.021313e-01</td>\n",
       "      <td>2.479065e-01</td>\n",
       "      <td>2.074724e-01</td>\n",
       "      <td>8.865658e-01</td>\n",
       "      <td>4.244587e-01</td>\n",
       "      <td>2.666293e-01</td>\n",
       "      <td>6.351754e-01</td>\n",
       "      <td>4.418196e-01</td>\n",
       "      <td>4.471219e-01</td>\n",
       "      <td>2.846825e-01</td>\n",
       "      <td>1.170435e+08</td>\n",
       "      <td>7.860440e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.829830e+05</td>\n",
       "      <td>4.521526e+05</td>\n",
       "      <td>2.176124e-01</td>\n",
       "      <td>5.988829e-02</td>\n",
       "      <td>1.494069e-01</td>\n",
       "      <td>1.818203e-01</td>\n",
       "      <td>9.927206e-02</td>\n",
       "      <td>1.549708e-01</td>\n",
       "      <td>2.825385e-01</td>\n",
       "      <td>3.535876e-01</td>\n",
       "      <td>2.595530e-01</td>\n",
       "      <td>2.295215e-01</td>\n",
       "      <td>4.041859e-01</td>\n",
       "      <td>3.594077e-01</td>\n",
       "      <td>3.656647e-01</td>\n",
       "      <td>3.965116e-01</td>\n",
       "      <td>4.971962e-01</td>\n",
       "      <td>2.877280e-01</td>\n",
       "      <td>1.166516e+08</td>\n",
       "      <td>4.070559e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.930000e+03</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.407033e+06</td>\n",
       "      <td>8.080142e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.867372e+05</td>\n",
       "      <td>3.915752e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>7.227040e-01</td>\n",
       "      <td>8.182118e-03</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>5.000000e-01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>4.654612e+07</td>\n",
       "      <td>4.510288e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.989995e+05</td>\n",
       "      <td>7.831505e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>8.220489e-01</td>\n",
       "      <td>2.471518e-01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.500000e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>5.000000e-01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>5.000000e-01</td>\n",
       "      <td>5.000000e-01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.500000e-01</td>\n",
       "      <td>8.310520e+07</td>\n",
       "      <td>6.967324e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.313913e+06</td>\n",
       "      <td>1.174726e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>8.974273e-01</td>\n",
       "      <td>4.918644e-01</td>\n",
       "      <td>5.000000e-01</td>\n",
       "      <td>2.500000e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>5.000000e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>5.000000e-01</td>\n",
       "      <td>1.301002e+08</td>\n",
       "      <td>1.026423e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.736687e+06</td>\n",
       "      <td>1.566301e+06</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>5.038467e+08</td>\n",
       "      <td>1.688921e+05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           OBJECTID       UNIQ_ID            OZ            CM            CU  \\\n",
       "count  1.566302e+06  1.566302e+06  1.566302e+06  1.566302e+06  1.566302e+06   \n",
       "mean   9.007182e+05  7.831505e+05  4.983905e-02  3.599561e-03  2.284425e-02   \n",
       "std    4.829830e+05  4.521526e+05  2.176124e-01  5.988829e-02  1.494069e-01   \n",
       "min    2.930000e+03  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "25%    4.867372e+05  3.915752e+05  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "50%    8.989995e+05  7.831505e+05  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "75%    1.313913e+06  1.174726e+06  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "max    1.736687e+06  1.566301e+06  1.000000e+00  1.000000e+00  1.000000e+00   \n",
       "\n",
       "                 CC            CN            AA            AT            TT  \\\n",
       "count  1.566302e+06  1.566302e+06  1.566302e+06  1.566302e+06  1.566302e+06   \n",
       "mean   3.423031e-02  9.954019e-03  7.888283e-01  3.021313e-01  2.479065e-01   \n",
       "std    1.818203e-01  9.927206e-02  1.549708e-01  2.825385e-01  3.535876e-01   \n",
       "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "25%    0.000000e+00  0.000000e+00  7.227040e-01  8.182118e-03  0.000000e+00   \n",
       "50%    0.000000e+00  0.000000e+00  8.220489e-01  2.471518e-01  0.000000e+00   \n",
       "75%    0.000000e+00  0.000000e+00  8.974273e-01  4.918644e-01  5.000000e-01   \n",
       "max    1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00   \n",
       "\n",
       "                 TF            TA            AC            AH            AE  \\\n",
       "count  1.566302e+06  1.566302e+06  1.566302e+06  1.566302e+06  1.566302e+06   \n",
       "mean   2.074724e-01  8.865658e-01  4.244587e-01  2.666293e-01  6.351754e-01   \n",
       "std    2.595530e-01  2.295215e-01  4.041859e-01  3.594077e-01  3.656647e-01   \n",
       "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "25%    0.000000e+00  1.000000e+00  0.000000e+00  0.000000e+00  5.000000e-01   \n",
       "50%    2.500000e-01  1.000000e+00  5.000000e-01  0.000000e+00  5.000000e-01   \n",
       "75%    2.500000e-01  1.000000e+00  1.000000e+00  5.000000e-01  1.000000e+00   \n",
       "max    1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00   \n",
       "\n",
       "                 AG            AP            AM    Shape__Are    Shape__Len  \n",
       "count  1.566302e+06  1.566302e+06  1.566302e+06  1.566302e+06  1.566302e+06  \n",
       "mean   4.418196e-01  4.471219e-01  2.846825e-01  1.170435e+08  7.860440e+04  \n",
       "std    3.965116e-01  4.971962e-01  2.877280e-01  1.166516e+08  4.070559e+04  \n",
       "min    0.000000e+00  0.000000e+00  0.000000e+00  1.407033e+06  8.080142e+03  \n",
       "25%    0.000000e+00  0.000000e+00  0.000000e+00  4.654612e+07  4.510288e+04  \n",
       "50%    5.000000e-01  0.000000e+00  2.500000e-01  8.310520e+07  6.967324e+04  \n",
       "75%    1.000000e+00  1.000000e+00  5.000000e-01  1.301002e+08  1.026423e+05  \n",
       "max    1.000000e+00  1.000000e+00  1.000000e+00  5.038467e+08  1.688921e+05  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sdfUnionedFiltered_Scores = sdfUnionedFilteredWithBC[['OBJECTID','UNIQ_ID','CommCode','COUNTYNBR','BC','OZ','CM','CU','CC','CN','AA','AT','TT','TF','TA','AC','AH','AE','AG','AP','AM','SHAPE','Shape__Are','Shape__Len']]\n",
    "display(sdfUnionedFiltered_Scores)\n",
    "display(sdfUnionedFiltered_Scores.describe())\n",
    "#display(sdfUnionedFiltered_Scores.sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\bhereth\\AppData\\Local\\ESRI\\conda\\envs\\arcgispro-py3-billenv\\lib\\site-packages\\pandas\\core\\indexing.py:1817: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_column(loc, value, pi)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'E:\\\\GitHub\\\\Housing-Suitability\\\\results\\\\HousingSuitability.gdb\\\\ParcelPiecesWithScores'"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# export final feature class\n",
    "sdfUnionedFiltered_Scores.spatial.to_featureclass(os.path.join(strGDB, r\"ParcelPartsWithScores\"),sanitize_columns=False)\n",
    "\n",
    "# DISSOLVE MANUALLY DONE IN ARCGIS PRO\n",
    "# Parcel Parts With Scores\n",
    "# dissolve fields: ['CommCode','COUNTYNBR','BC','OZ','CM','CU','CC','CN','AA','AT','TT','TF','TA','AC','AH','AE','AG','AP','AM']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# delete layers that aren't needed anymore\n",
    "deleteIfExists(strInterchangesOut_Cur  + \"_Buffers\")\n",
    "deleteIfExists(strInterchangesOut_Fut  + \"_Buffers\")\n",
    "deleteIfExists(strTransitOut_Lcl       + \"_Buffers\")\n",
    "deleteIfExists(strTransitOut_BrtCur    + \"_Buffers\")\n",
    "deleteIfExists(strTransitOut_BrtFut    + \"_Buffers\")\n",
    "deleteIfExists(strTransitOut_LrtCur    + \"_Buffers\")\n",
    "deleteIfExists(strTransitOut_LrtFut    + \"_Buffers\")\n",
    "deleteIfExists(strTransitOut_CrtCur    + \"_Buffers\")\n",
    "deleteIfExists(strTransitOut_CrtFut    + \"_Buffers\")\n",
    "deleteIfExists(strChildCareOut         + \"_Buffers\")\n",
    "deleteIfExists(strHealthCareOut        + \"_Buffers\")\n",
    "deleteIfExists(strSchoolsOut_RegPub    + \"_Buffers\")\n",
    "deleteIfExists(strSchoolsOut_HighEd    + \"_Buffers\")\n",
    "deleteIfExists(strGroceryOut           + \"_Buffers\")\n",
    "deleteIfExists(strCommunityCenterOut   + \"_Buffers\")\n",
    "deleteIfExists(strPathsOut_Cur         + \"_Buffers\")\n",
    "deleteIfExists(strPathsOut_Fut         + \"_Buffers\")\n",
    "deleteIfExists(strATCycleTracksOut_Cur + \"_Buffers\")\n",
    "deleteIfExists(strATCycleTracksOut_Fut + \"_Buffers\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "#sdfUnionedFiltered_Scores = pd.DataFrame.spatial.from_featureclass(os.path.join(strGDB, r\"ParcelPiecesWithScores\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>CommCode</th>\n",
       "      <th>categories</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AFK</td>\n",
       "      <td>OZ,CC,AA,AT,TT,TF,TA,AC,AH,AE,AG,AP,AM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ALP</td>\n",
       "      <td>AA,AT,TA,AC,AH,AE,AG,AP,AM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BDL</td>\n",
       "      <td>CU,CC,CN,AA,AT,TT,TF,TA,AC,AE,AG,AP,AM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BTF</td>\n",
       "      <td>CC,CN,AA,AT,TT,TF,TA,AC,AH,AE,AG,AP,AM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CDF</td>\n",
       "      <td>AA,TA,AE,AP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>WJC</td>\n",
       "      <td>OZ,CC,CN,AA,AT,TT,TF,TA,AC,AH,AE,AG,AP,AM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>WMT</td>\n",
       "      <td>CN,AA,AT,TT,TF,TA,AC,AH,AE,AG,AP,AM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>WPT</td>\n",
       "      <td>CC,CN,AA,AT,TT,TA,AC,AH,AE,AG,AP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>WTR</td>\n",
       "      <td>CC,AA,AT,TT,TF,TA,AC,AH,AE,AG,AP,AM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>WVC</td>\n",
       "      <td>OZ,CU,CC,CN,AA,AT,TT,TF,TA,AC,AH,AE,AG,AP,AM</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>73 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   CommCode                                    categories\n",
       "0       AFK        OZ,CC,AA,AT,TT,TF,TA,AC,AH,AE,AG,AP,AM\n",
       "1       ALP                    AA,AT,TA,AC,AH,AE,AG,AP,AM\n",
       "2       BDL        CU,CC,CN,AA,AT,TT,TF,TA,AC,AE,AG,AP,AM\n",
       "3       BTF        CC,CN,AA,AT,TT,TF,TA,AC,AH,AE,AG,AP,AM\n",
       "4       CDF                                   AA,TA,AE,AP\n",
       "..      ...                                           ...\n",
       "68      WJC     OZ,CC,CN,AA,AT,TT,TF,TA,AC,AH,AE,AG,AP,AM\n",
       "69      WMT           CN,AA,AT,TT,TF,TA,AC,AH,AE,AG,AP,AM\n",
       "70      WPT              CC,CN,AA,AT,TT,TA,AC,AH,AE,AG,AP\n",
       "71      WTR           CC,AA,AT,TT,TF,TA,AC,AH,AE,AG,AP,AM\n",
       "72      WVC  OZ,CU,CC,CN,AA,AT,TT,TF,TA,AC,AH,AE,AG,AP,AM\n",
       "\n",
       "[73 rows x 2 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfCommCodeCat = sdfUnionedFiltered_Scores.groupby(['CommCode'],as_index=False).agg(OZ=('OZ','max'),\n",
    "                                                                                   CM=('CM','max'),\n",
    "                                                                                   CU=('CU','max'),\n",
    "                                                                                   CC=('CC','max'),\n",
    "                                                                                   CN=('CN','max'),\n",
    "                                                                                   AA=('AA','max'),\n",
    "                                                                                   AT=('AT','max'),\n",
    "                                                                                   TT=('TT','max'),\n",
    "                                                                                   TF=('TF','max'),\n",
    "                                                                                   TA=('TA','max'),\n",
    "                                                                                   AC=('AC','max'),\n",
    "                                                                                   AH=('AH','max'),\n",
    "                                                                                   AE=('AE','max'),\n",
    "                                                                                   AG=('AG','max'),\n",
    "                                                                                   AP=('AP','max'),\n",
    "                                                                                   AM=('AM','max'))\n",
    "\n",
    "dfCommCodeCat_melt = pd.melt(dfCommCodeCat, id_vars='CommCode', value_vars=['OZ','CM','CU','CC','CN','AA','AT','TT','TF','TA','AC','AH','AE','AG','AP','AM'], var_name='Cat', value_name='CatValue', col_level=None)\n",
    "\n",
    "dfCommCodeCatWithValues = dfCommCodeCat_melt[dfCommCodeCat_melt['CatValue']>0].copy()\n",
    "dfCommCodeCatWithValues.drop(columns=['CatValue'],inplace=True)\n",
    "dfCommCodeValidCategories = dfCommCodeCatWithValues[~dfCommCodeCatWithValues['Cat'].str.startswith('OZ')]\n",
    "dfCommCodeValidCategories = dfCommCodeCatWithValues.groupby(['CommCode'],as_index=False).agg(['unique'])\n",
    "dfCommCodeValidCategories = dfCommCodeValidCategories.droplevel(level=0, axis=1)\n",
    "dfCommCodeValidCategories = dfCommCodeValidCategories.reset_index()\n",
    "dfCommCodeValidCategories = dfCommCodeValidCategories.rename(columns={'unique':'categories'})\n",
    "dfCommCodeValidCategories['categories'] = [','.join(map(str, l)) for l in dfCommCodeValidCategories['categories']]\n",
    "dfCommCodeValidCategories\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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>CommCode</th>\n",
       "      <th>centers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AFK</td>\n",
       "      <td>CC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BDL</td>\n",
       "      <td>CU,CC,CN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BTF</td>\n",
       "      <td>CC,CN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CEN</td>\n",
       "      <td>CC,CN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CLI</td>\n",
       "      <td>CN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>WJC</td>\n",
       "      <td>CC,CN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>WMT</td>\n",
       "      <td>CN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>WPT</td>\n",
       "      <td>CC,CN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>WTR</td>\n",
       "      <td>CC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>WVC</td>\n",
       "      <td>CU,CC,CN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>58 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   CommCode   centers\n",
       "0       AFK        CC\n",
       "1       BDL  CU,CC,CN\n",
       "2       BTF     CC,CN\n",
       "3       CEN     CC,CN\n",
       "4       CLI        CN\n",
       "..      ...       ...\n",
       "53      WJC     CC,CN\n",
       "54      WMT        CN\n",
       "55      WPT     CC,CN\n",
       "56      WTR        CC\n",
       "57      WVC  CU,CC,CN\n",
       "\n",
       "[58 rows x 2 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfCommCodeValidCenters = dfCommCodeCat_melt[dfCommCodeCat_melt['CatValue']>0].copy()\n",
    "dfCommCodeValidCenters.drop(columns=['CatValue'],inplace=True)\n",
    "dfCommCodeValidCenters = dfCommCodeValidCenters[dfCommCodeValidCenters['Cat'].str.startswith('C')]\n",
    "dfCommCodeValidCenters = dfCommCodeValidCenters.groupby(['CommCode'],as_index=False).agg(['unique'])\n",
    "dfCommCodeValidCenters = dfCommCodeValidCenters.droplevel(level=0, axis=1)\n",
    "dfCommCodeValidCenters = dfCommCodeValidCenters.reset_index()\n",
    "dfCommCodeValidCenters = dfCommCodeValidCenters.rename(columns={'unique':'centers'})\n",
    "dfCommCodeValidCenters['centers'] = [','.join(map(str, l)) for l in dfCommCodeValidCenters['centers']]\n",
    "dfCommCodeValidCenters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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>CommCode</th>\n",
       "      <th>oppzones</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AFK</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ALP</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BDL</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BTF</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CDF</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>WJC</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>WMT</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>WPT</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>WTR</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>WVC</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>73 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   CommCode oppzones\n",
       "0       AFK      yes\n",
       "1       ALP       no\n",
       "2       BDL       no\n",
       "3       BTF       no\n",
       "4       CDF       no\n",
       "..      ...      ...\n",
       "68      WJC      yes\n",
       "69      WMT       no\n",
       "70      WPT       no\n",
       "71      WTR       no\n",
       "72      WVC      yes\n",
       "\n",
       "[73 rows x 2 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfCommCodeCatWithOZ = sdfUnionedFiltered_Scores.groupby(['CommCode'],as_index=False).agg(OZ=('OZ','max'))\n",
    "dfCommCodeCatWithOZ\n",
    "dfCommCodeCatWithOZ.loc[dfCommCodeCatWithOZ['OZ']>0,'oppzones']='yes'\n",
    "dfCommCodeCatWithOZ.loc[dfCommCodeCatWithOZ['OZ']==0,'oppzones']='no'\n",
    "dfCommCodeCatWithOZ.drop(columns=['OZ'],inplace=True)\n",
    "dfCommCodeCatWithOZ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'sdfCommunitiesWithCommCode' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-41-6832a0a4c96d>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdfCommunitiesForApp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msdfCommunitiesWithCommCode\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0mdfCommunitiesForApp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdfCommunitiesForApp\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'NAME'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'CommCode'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'COUNTYNBR'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0mdfCommunitiesForApp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmerge\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdfCommunitiesForApp\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mdfCommCodeCatWithOZ\u001b[0m      \u001b[1;33m,\u001b[0m\u001b[0mon\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'CommCode'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mhow\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'left'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0mdfCommunitiesForApp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmerge\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdfCommunitiesForApp\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mdfCommCodeValidCenters\u001b[0m   \u001b[1;33m,\u001b[0m\u001b[0mon\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'CommCode'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mhow\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'left'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[0mdfCommunitiesForApp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmerge\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdfCommunitiesForApp\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mdfCommCodeValidCategories\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mon\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'CommCode'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mhow\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'left'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'sdfCommunitiesWithCommCode' is not defined"
     ]
    }
   ],
   "source": [
    "dfCommunitiesForApp = sdfCommunitiesWithCommCode.copy()\n",
    "dfCommunitiesForApp = dfCommunitiesForApp[['NAME','CommCode','COUNTYNBR']]\n",
    "dfCommunitiesForApp = pd.DataFrame.merge(dfCommunitiesForApp,dfCommCodeCatWithOZ      ,on='CommCode',how='left')\n",
    "dfCommunitiesForApp = pd.DataFrame.merge(dfCommunitiesForApp,dfCommCodeValidCenters   ,on='CommCode',how='left')\n",
    "dfCommunitiesForApp = pd.DataFrame.merge(dfCommunitiesForApp,dfCommCodeValidCategories,on='CommCode',how='left')\n",
    "dfCommunitiesForApp.rename(columns={'CommCode':'value','NAME':'label'},inplace=True)\n",
    "dfCommunitiesForApp = dfCommunitiesForApp.sort_values(by=['label'])\n",
    "dfCommunitiesForApp.to_json('communities.json',orient='records')\n",
    "dfCommunitiesForApp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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