{
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   "source": [
    "# Datasets gemeenteraadsverkiezingen 2022\n",
    "Deze notebook heeft als doel de stemlokalen van de gemeenteraadsverkiezingen van 2022 te analyseren. Er zal hier stap voor stap door de data gelopen worden om het proces reproduceerbaar te maken voor latere verkiezingen. De eerste stap was de data ophalen van de bronnen, zowel van de overheid als van 'Waar is mijn stemlokaal' (voor geografische data van de stemlokalen). Deze bronnen zijn voor de verkiezingen van 2022 gebruikt:\n",
    "- [Verkiezingsuitslagen Gemeenteraad 2022](https://data.overheid.nl/dataset/08b04bec-3332-4c76-bb0c-68bfaeb5df43)\n",
    "  - [Directe link naar uitslagen per gemeente EML](https://data.overheid.nl/sites/default/files/dataset/08b04bec-3332-4c76-bb0c-68bfaeb5df43/resources/GR2022_2022-03-29T15.14.zip)\n",
    "  - [Directe link naar kandidatenlijst met uitslagen CSV](https://data.overheid.nl/sites/default/files/dataset/08b04bec-3332-4c76-bb0c-68bfaeb5df43/resources/GR2022_alle-kandidaten_2022-02-22T08.34.csv)\n",
    "- ['Waar is mijn stemlokaal' stembureau data](https://waarismijnstemlokaal.nl/data)\n",
    "  - [Directe link naar 'Waar is mijn stemlokaal' gemeenteraad 2022 CSV (CKAN)](https://ckan.dataplatform.nl/datastore/dump/d6a1b4c4-73c8-457b-9b75-a38428bded68)\n",
    "  - [Verkiezingsuitslagen gemeenteraadsverkiezingen 2022 geodata vab Open State Foundation en de Volkskrant (OSF/VK)](https://data.openstate.eu/dataset/verkiezingsuitslagen-gemeenteraadsverkiezingen-2022)\n",
    "    - [Directe link naar GeoJSON bestand](https://data.openstate.eu/dataset/a1767f1b-bf0c-409b-b3b1-3af9954b57f4/resource/413be255-5070-48f4-b631-895097976abb/download/2022gr.geo.json)\n",
    "- [CBS Wijk- en buurtkaart 2021](https://www.cbs.nl/nl-nl/dossier/nederland-regionaal/geografische-data/wijk-en-buurtkaart-2021)\n",
    "  - [Directe link naar zip bestand met SHP bestand er in](https://www.cbs.nl/-/media/cbs/dossiers/nederland-regionaal/wijk-en-buurtstatistieken/wijkbuurtkaart_2021_v1.zip)\n",
    "- [CBS bevolkingsdichtheid kaart 100 bij 100 meter](https://www.cbs.nl/nl-nl/dossier/nederland-regionaal/geografische-data/kaart-van-100-meter-bij-100-meter-met-statistieken)\n",
    "  - [Directe link naar 7z bestand met SHP bestand er in](https://www.cbs.nl/-/media/cbs/dossiers/nederland-regionaal/vierkanten/100/nl_vierkant_100meter_bij_100meter.7z)\n",
    "- [CBS bevolkingsdichtheid kaart 500 bij 500 meter](https://www.cbs.nl/nl-nl/dossier/nederland-regionaal/geografische-data/kaart-van-500-meter-bij-500-meter-met-statistieken)\n",
    "  - [Directe link naar 7z bestand met SHP bestand er in](https://www.cbs.nl/-/media/cbs/dossiers/nederland-regionaal/vierkanten/500/2021-cbs_vk500_2020_v1.zip)\n",
    "- [CBS schatting van kiesgerechtigden per gemeente](https://www.cbs.nl/nl-nl/maatwerk/2020/52/schatting-van-het-aantal-kiesgerechtigden-in-nederland)\n",
    "\n",
    "# Data inladen en eerste analyse\n",
    "## OSF/VK GeoJSON dataset: verkiezingsuitslagen per stembureau inclusief coördinaten\n",
    "Als eerste importeren we de data voor de analyse, daarna kunnen we kijken hoe goed de data is, hoe we het aan kunnen vullen, en wat er mee te doen. We kijken eerst naar het GeoJSON bestand van Open State Foundation en de Volkskrant (OSF/VK). Daarin zijn de coördinaten van alle locaties van bijna alle stembureaus toegevoegd aan de lijst met stembureaus uit de officiële uitslagen zoals gepubliceerd door de Kiesraad. We kunnen een GeoJSON bestand direct inladen met geopandas."
   ]
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  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/fiona/collection.py:208: FeatureWarning: Empty field name at index 928\n",
      "  self._schema = self.session.get_schema()\n",
      "/home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/geodataframe.py:600: UserWarning: Empty field name at index 928\n",
      "  for feature in features_lst:\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb Cell 2'\u001b[0m in \u001b[0;36m<cell line: 5>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000001?line=1'>2</a>\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mgeopandas\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mgpd\u001b[39;00m\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000001?line=3'>4</a>\u001b[0m crs \u001b[39m=\u001b[39m {\u001b[39m'\u001b[39m\u001b[39minit\u001b[39m\u001b[39m'\u001b[39m:\u001b[39m'\u001b[39m\u001b[39mEPSG:4326\u001b[39m\u001b[39m'\u001b[39m}\n\u001b[0;32m----> <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000001?line=4'>5</a>\u001b[0m df_geojson \u001b[39m=\u001b[39m gpd\u001b[39m.\u001b[39;49mread_file(\u001b[39mr\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39m../data/2022gr.geo.json\u001b[39;49m\u001b[39m'\u001b[39;49m, crs\u001b[39m=\u001b[39;49mcrs)\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/io/file.py:244\u001b[0m, in \u001b[0;36m_read_file\u001b[0;34m(filename, bbox, mask, rows, **kwargs)\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/io/file.py?line=238'>239</a>\u001b[0m \u001b[39mif\u001b[39;00m kwargs\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mignore_geometry\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39mFalse\u001b[39;00m):\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/io/file.py?line=239'>240</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m pd\u001b[39m.\u001b[39mDataFrame(\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/io/file.py?line=240'>241</a>\u001b[0m         [record[\u001b[39m\"\u001b[39m\u001b[39mproperties\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39mfor\u001b[39;00m record \u001b[39min\u001b[39;00m f_filt], columns\u001b[39m=\u001b[39mcolumns\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/io/file.py?line=241'>242</a>\u001b[0m     )\n\u001b[0;32m--> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/io/file.py?line=243'>244</a>\u001b[0m \u001b[39mreturn\u001b[39;00m GeoDataFrame\u001b[39m.\u001b[39;49mfrom_features(\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/io/file.py?line=244'>245</a>\u001b[0m     f_filt, crs\u001b[39m=\u001b[39;49mcrs, columns\u001b[39m=\u001b[39;49mcolumns \u001b[39m+\u001b[39;49m [\u001b[39m\"\u001b[39;49m\u001b[39mgeometry\u001b[39;49m\u001b[39m\"\u001b[39;49m]\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/io/file.py?line=245'>246</a>\u001b[0m )\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/geodataframe.py:600\u001b[0m, in \u001b[0;36mGeoDataFrame.from_features\u001b[0;34m(cls, features, crs, columns)\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/geodataframe.py?line=596'>597</a>\u001b[0m     features_lst \u001b[39m=\u001b[39m features\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/geodataframe.py?line=598'>599</a>\u001b[0m rows \u001b[39m=\u001b[39m []\n\u001b[0;32m--> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/geodataframe.py?line=599'>600</a>\u001b[0m \u001b[39mfor\u001b[39;00m feature \u001b[39min\u001b[39;00m features_lst:\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/geodataframe.py?line=600'>601</a>\u001b[0m     \u001b[39m# load geometry\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/geodataframe.py?line=601'>602</a>\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mhasattr\u001b[39m(feature, \u001b[39m\"\u001b[39m\u001b[39m__geo_interface__\u001b[39m\u001b[39m\"\u001b[39m):\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/geodataframe.py?line=602'>603</a>\u001b[0m         feature \u001b[39m=\u001b[39m feature\u001b[39m.\u001b[39m__geo_interface__\n",
      "File \u001b[0;32mfiona/ogrext.pyx:1515\u001b[0m, in \u001b[0;36mfiona.ogrext.Iterator.__next__\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32mfiona/ogrext.pyx:202\u001b[0m, in \u001b[0;36mfiona.ogrext.FeatureBuilder.build\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "\n",
    "crs = {'init':'EPSG:4326'}\n",
    "df_geojson = gpd.read_file(r'../data/2022gr.geo.json', crs=crs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CBS dataset: gemeentegrenzen en informatie\n",
    "We importeren nu de gemeente shapefile kaart van het CBS, om de overlay van onze stemlokalen eroverheen te leggen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4d01ef1080>"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4d01feceb8>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nl_map = gpd.read_file(r'../data/shape/Netherlands_shapefile/gemeente_2021_v1.shp')\n",
    "plot = nl_map.to_crs(epsg=4326).plot()\n",
    "plot.set_title('Plot van de gemeenten uit de CBS Wijk- en buurtkaart 2021')\n",
    "plot\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "De CBS Wijk- en buurtkaart 2021 bevat ook naast de gemeentegrenzen ook informatie (bv. aantal inwoners) over de gemeenten. We printen dat hier uit om daar een beeld van te krijgen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    GM_CODE            GM_NAAM  H2O       OAD      STED  BEV_DICHTH  AANT_INW  \\\n",
      "0    GM0034             Almere   JA -99999999 -99999999   -99999999 -99999999   \n",
      "1    GM0050           Zeewolde   JA -99999999 -99999999   -99999999 -99999999   \n",
      "2    GM0060            Ameland   JA -99999999 -99999999   -99999999 -99999999   \n",
      "3    GM0072          Harlingen   JA -99999999 -99999999   -99999999 -99999999   \n",
      "4    GM0088    Schiermonnikoog   JA -99999999 -99999999   -99999999 -99999999   \n",
      "..      ...                ...  ...       ...       ...         ...       ...   \n",
      "430  GM1966       Het Hogeland  NEE       414         5          99     47834   \n",
      "431  GM1969     Westerkwartier  NEE       476         5         176     63678   \n",
      "432  GM1970  Noardeast-Fryslân  NEE       463         5         120     45481   \n",
      "433  GM1978        Molenlanden  NEE       393         5         243     44130   \n",
      "434  GM1979          Eemsdelta  NEE       692         4         170     45587   \n",
      "\n",
      "     AANT_MAN  AANT_VROUW  P_00_14_JR  ...  P_TURKIJE  P_OVER_NW   OPP_TOT  \\\n",
      "0   -99999999   -99999999   -99999999  ...  -99999999  -99999999 -99999999   \n",
      "1   -99999999   -99999999   -99999999  ...  -99999999  -99999999 -99999999   \n",
      "2   -99999999   -99999999   -99999999  ...  -99999999  -99999999 -99999999   \n",
      "3   -99999999   -99999999   -99999999  ...  -99999999  -99999999 -99999999   \n",
      "4   -99999999   -99999999   -99999999  ...  -99999999  -99999999 -99999999   \n",
      "..        ...         ...         ...  ...        ...        ...       ...   \n",
      "430     24052       23782          15  ...          0          3     90308   \n",
      "431     32034       31644          17  ...          0          3     36887   \n",
      "432     22879       22602          17  ...          0          2     51645   \n",
      "433     22317       21813          18  ...          0          2     19158   \n",
      "434     22841       22746          14  ...          2          5     36407   \n",
      "\n",
      "     OPP_LAND  OPP_WATER  JRSTATCODE  JAAR     Shape_Leng    Shape_Area  \\\n",
      "0   -99999999  -99999999  2021GM0034  2021  122665.358635  1.095623e+08   \n",
      "1   -99999999  -99999999  2021GM0050  2021   83290.773617  1.633050e+07   \n",
      "2   -99999999  -99999999  2021GM0060  2021  156406.894023  2.085914e+08   \n",
      "3   -99999999  -99999999  2021GM0072  2021  104274.683035  3.618323e+08   \n",
      "4   -99999999  -99999999  2021GM0088  2021  152568.858991  1.624101e+08   \n",
      "..        ...        ...         ...   ...            ...           ...   \n",
      "430     48249      42059  2021GM1966  2021  321301.166576  4.875998e+08   \n",
      "431     36269        618  2021GM1969  2021   99030.762281  3.688457e+08   \n",
      "432     37783      13862  2021GM1970  2021  238426.959926  3.837930e+08   \n",
      "433     18173        986  2021GM1978  2021   88570.376691  1.915841e+08   \n",
      "434     26789       9618  2021GM1979  2021  173966.493452  2.727771e+08   \n",
      "\n",
      "                                              geometry  \n",
      "0    MULTIPOLYGON (((150213.998 479503.726, 150087....  \n",
      "1    MULTIPOLYGON (((170588.413 486792.192, 170570....  \n",
      "2    POLYGON ((196000.000 610000.000, 196000.000 60...  \n",
      "3    MULTIPOLYGON (((158392.775 580357.500, 158387....  \n",
      "4    POLYGON ((219000.000 616567.418, 219000.000 61...  \n",
      "..                                                 ...  \n",
      "430  MULTIPOLYGON (((217037.735 601967.991, 217043....  \n",
      "431  POLYGON ((215186.661 595044.495, 215190.788 59...  \n",
      "432  MULTIPOLYGON (((207769.575 603284.528, 207773....  \n",
      "433  POLYGON ((123569.533 440132.167, 123576.153 44...  \n",
      "434  MULTIPOLYGON (((269190.000 594253.046, 269190....  \n",
      "\n",
      "[435 rows x 38 columns]\n"
     ]
    }
   ],
   "source": [
    "print(nl_map)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hieronder plotten we de gegevens van stembureaus op de kaart van het CBS:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Stembureaus op de gemeentekaart van het CBS')"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4d002facf8>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax = plt.subplots(figsize = (10,10))\n",
    "nl_map.to_crs(epsg=4326).plot(ax=ax, color='lightgrey')\n",
    "df_geojson.plot(ax=ax)\n",
    "ax.set_title('Stembureaus op de gemeentekaart van het CBS')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We hebben hier een probleem dat sommige punten de coördinaten 0,0 hebben, dit is niet iets wat we willen weergeven. Laten we eerst kijken waarom dit het geval is in de data voordat we het er helemaal uithalen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stembureau                                     32\n",
      "Adres                                            \n",
      "Locatie                                      SB32\n",
      "description        Stembureau Mobiel Stembureau 1\n",
      "Geldige stemmen                                99\n",
      "                                ...              \n",
      "één-Ermelo                                    NaN\n",
      "gmcode                                     GM0109\n",
      "election                         GR2022_Coevorden\n",
      "electionName          Gemeenteraad Coevorden 2022\n",
      "geometry                              POINT (0 0)\n",
      "Name: 2520, Length: 973, dtype: object\n",
      "Stembureau                                     33\n",
      "Adres                                            \n",
      "Locatie                                      SB33\n",
      "description        Stembureau Mobiel Stembureau 2\n",
      "Geldige stemmen                               115\n",
      "                                ...              \n",
      "één-Ermelo                                    NaN\n",
      "gmcode                                     GM0109\n",
      "election                         GR2022_Coevorden\n",
      "electionName          Gemeenteraad Coevorden 2022\n",
      "geometry                              POINT (0 0)\n",
      "Name: 2521, Length: 973, dtype: object\n",
      "Stembureau                                   157\n",
      "Adres                                           \n",
      "Locatie                                    SB157\n",
      "description        Stembureau Stembureau Stembus\n",
      "Geldige stemmen                               72\n",
      "                               ...              \n",
      "één-Ermelo                                   NaN\n",
      "gmcode                                    GM0150\n",
      "election                         GR2022_Deventer\n",
      "electionName          Gemeenteraad Deventer 2022\n",
      "geometry                             POINT (0 0)\n",
      "Name: 2918, Length: 973, dtype: object\n",
      "Stembureau                                                       171\n",
      "Adres                                                               \n",
      "Locatie                                                        SB171\n",
      "description        Stembureau Stembureau Stembureau op locatie al...\n",
      "Geldige stemmen                                                  174\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0772\n",
      "election                                            GR2022_Eindhoven\n",
      "electionName                             Gemeenteraad Eindhoven 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 3579, Length: 973, dtype: object\n",
      "Stembureau                                                       172\n",
      "Adres                                                               \n",
      "Locatie                                                        SB172\n",
      "description        Stembureau Stembureau Stembureau op locatie al...\n",
      "Geldige stemmen                                                   66\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0772\n",
      "election                                            GR2022_Eindhoven\n",
      "electionName                             Gemeenteraad Eindhoven 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 3580, Length: 973, dtype: object\n",
      "Stembureau                                                       173\n",
      "Adres                                                               \n",
      "Locatie                                                        SB173\n",
      "description        Stembureau Stembureau Stembureau op locatie al...\n",
      "Geldige stemmen                                                  162\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0772\n",
      "election                                            GR2022_Eindhoven\n",
      "electionName                             Gemeenteraad Eindhoven 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 3581, Length: 973, dtype: object\n",
      "Stembureau                                                       174\n",
      "Adres                                                               \n",
      "Locatie                                                        SB174\n",
      "description        Stembureau Stembureau Stembureau op locatie al...\n",
      "Geldige stemmen                                                   65\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0772\n",
      "election                                            GR2022_Eindhoven\n",
      "electionName                             Gemeenteraad Eindhoven 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 3582, Length: 973, dtype: object\n",
      "Stembureau                                                       175\n",
      "Adres                                                               \n",
      "Locatie                                                        SB175\n",
      "description        Stembureau Stembureau Stembureau op locatie al...\n",
      "Geldige stemmen                                                  121\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0772\n",
      "election                                            GR2022_Eindhoven\n",
      "electionName                             Gemeenteraad Eindhoven 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 3583, Length: 973, dtype: object\n",
      "Stembureau                                                        39\n",
      "Adres                                                               \n",
      "Locatie                                                         SB39\n",
      "description        Stembureau Mobiel stembureau met beperkte toeg...\n",
      "Geldige stemmen                                                   56\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM1735\n",
      "election                                         GR2022_HofvanTwente\n",
      "electionName                        Gemeenteraad Hof van Twente 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 5494, Length: 973, dtype: object\n",
      "Stembureau                                                        34\n",
      "Adres                                                               \n",
      "Locatie                                                         SB34\n",
      "description        Stembureau Stembureau Mobiel stembureau verzor...\n",
      "Geldige stemmen                                                  119\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0166\n",
      "election                                               GR2022_Kampen\n",
      "electionName                                Gemeenteraad Kampen 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 5784, Length: 973, dtype: object\n",
      "Stembureau                                                        35\n",
      "Adres                                                               \n",
      "Locatie                                                         SB35\n",
      "description        Stembureau Stembureau Mobiel stembureau verzor...\n",
      "Geldige stemmen                                                  151\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0166\n",
      "election                                               GR2022_Kampen\n",
      "electionName                                Gemeenteraad Kampen 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 5785, Length: 973, dtype: object\n",
      "Stembureau                                            11\n",
      "Adres                                                   \n",
      "Locatie                                             SB11\n",
      "description        Stembureau Mobiel stembureau Ommedijk\n",
      "Geldige stemmen                                       14\n",
      "                                   ...                  \n",
      "één-Ermelo                                           NaN\n",
      "gmcode                                            GM0547\n",
      "election                               GR2022_Leiderdorp\n",
      "electionName                Gemeenteraad Leiderdorp 2022\n",
      "geometry                                     POINT (0 0)\n",
      "Name: 6260, Length: 973, dtype: object\n",
      "Stembureau                                                        12\n",
      "Adres                                                               \n",
      "Locatie                                                         SB12\n",
      "description        Stembureau Mobiel stembureau Van Alphenstaete ...\n",
      "Geldige stemmen                                                   68\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0547\n",
      "election                                           GR2022_Leiderdorp\n",
      "electionName                            Gemeenteraad Leiderdorp 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 6261, Length: 973, dtype: object\n",
      "Stembureau                                   70\n",
      "Adres                                          \n",
      "Locatie                                    SB70\n",
      "description        Stembureau Mobiel stembureau\n",
      "Geldige stemmen                              34\n",
      "                               ...             \n",
      "één-Ermelo                                  NaN\n",
      "gmcode                                   GM0938\n",
      "election                        GR2022_Meerssen\n",
      "electionName         Gemeenteraad Meerssen 2022\n",
      "geometry                            POINT (0 0)\n",
      "Name: 6738, Length: 973, dtype: object\n",
      "Stembureau                                   71\n",
      "Adres                                          \n",
      "Locatie                                    SB71\n",
      "description        Stembureau Mobiel stembureau\n",
      "Geldige stemmen                              43\n",
      "                               ...             \n",
      "één-Ermelo                                  NaN\n",
      "gmcode                                   GM0938\n",
      "election                        GR2022_Meerssen\n",
      "electionName         Gemeenteraad Meerssen 2022\n",
      "geometry                            POINT (0 0)\n",
      "Name: 6739, Length: 973, dtype: object\n",
      "Stembureau                                             699\n",
      "Adres                                                     \n",
      "Locatie                                              SB699\n",
      "description        Stembureau Stembureau Mobiel stembureau\n",
      "Geldige stemmen                                         59\n",
      "                                    ...                   \n",
      "één-Ermelo                                             NaN\n",
      "gmcode                                              GM0687\n",
      "election                                 GR2022_Middelburg\n",
      "electionName                  Gemeenteraad Middelburg 2022\n",
      "geometry                                       POINT (0 0)\n",
      "Name: 6863, Length: 973, dtype: object\n",
      "Stembureau                                   32\n",
      "Adres                                          \n",
      "Locatie                                    SB32\n",
      "description         Stembureau Mobielstembureau\n",
      "Geldige stemmen                              63\n",
      "                               ...             \n",
      "één-Ermelo                                  NaN\n",
      "gmcode                                   GM1930\n",
      "election                      GR2022_Nissewaard\n",
      "electionName       Gemeenteraad Nissewaard 2022\n",
      "geometry                            POINT (0 0)\n",
      "Name: 7348, Length: 973, dtype: object\n",
      "Stembureau                                   90\n",
      "Adres                                          \n",
      "Locatie                                    SB90\n",
      "description            Stembureau Roll and Vote\n",
      "Geldige stemmen                             339\n",
      "                               ...             \n",
      "één-Ermelo                                  NaN\n",
      "gmcode                                   GM1930\n",
      "election                      GR2022_Nissewaard\n",
      "electionName       Gemeenteraad Nissewaard 2022\n",
      "geometry                            POINT (0 0)\n",
      "Name: 7364, Length: 973, dtype: object\n",
      "Stembureau                                   19\n",
      "Adres                                          \n",
      "Locatie                                    SB19\n",
      "description        Stembureau Mobiel stembureau\n",
      "Geldige stemmen                              77\n",
      "                               ...             \n",
      "één-Ermelo                                  NaN\n",
      "gmcode                                   GM0086\n",
      "election                      GR2022_Opsterland\n",
      "electionName       Gemeenteraad Opsterland 2022\n",
      "geometry                            POINT (0 0)\n",
      "Name: 7857, Length: 973, dtype: object\n",
      "Stembureau                                                    1428\n",
      "Adres                                                             \n",
      "Locatie                                                     SB1428\n",
      "description        Stembureau Drive-thru parkeerplaats Rusheuvel 1\n",
      "Geldige stemmen                                                163\n",
      "                                        ...                       \n",
      "één-Ermelo                                                     NaN\n",
      "gmcode                                                      GM0828\n",
      "election                                                GR2022_Oss\n",
      "electionName                                 Gemeenteraad Oss 2022\n",
      "geometry                                               POINT (0 0)\n",
      "Name: 7912, Length: 973, dtype: object\n",
      "Stembureau                                                    1437\n",
      "Adres                                                             \n",
      "Locatie                                                     SB1437\n",
      "description        Stembureau Drive-thru parkeerplaats Rusheuvel 2\n",
      "Geldige stemmen                                                239\n",
      "                                        ...                       \n",
      "één-Ermelo                                                     NaN\n",
      "gmcode                                                      GM0828\n",
      "election                                                GR2022_Oss\n",
      "electionName                                 Gemeenteraad Oss 2022\n",
      "geometry                                               POINT (0 0)\n",
      "Name: 7913, Length: 973, dtype: object\n",
      "Stembureau                                                    1528\n",
      "Adres                                                             \n",
      "Locatie                                                     SB1528\n",
      "description        Stembureau Drive-thru parkeerplaats Rusheuvel 1\n",
      "Geldige stemmen                                                323\n",
      "                                        ...                       \n",
      "één-Ermelo                                                     NaN\n",
      "gmcode                                                      GM0828\n",
      "election                                                GR2022_Oss\n",
      "electionName                                 Gemeenteraad Oss 2022\n",
      "geometry                                               POINT (0 0)\n",
      "Name: 7923, Length: 973, dtype: object\n",
      "Stembureau                                                    1537\n",
      "Adres                                                             \n",
      "Locatie                                                     SB1537\n",
      "description        Stembureau Drive-thru parkeerplaats Rusheuvel 2\n",
      "Geldige stemmen                                                208\n",
      "                                        ...                       \n",
      "één-Ermelo                                                     NaN\n",
      "gmcode                                                      GM0828\n",
      "election                                                GR2022_Oss\n",
      "electionName                                 Gemeenteraad Oss 2022\n",
      "geometry                                               POINT (0 0)\n",
      "Name: 7924, Length: 973, dtype: object\n",
      "Stembureau                                 1541\n",
      "Adres                                          \n",
      "Locatie                                  SB1541\n",
      "description        Stembureau Mobiel stembureau\n",
      "Geldige stemmen                             125\n",
      "                               ...             \n",
      "één-Ermelo                                  NaN\n",
      "gmcode                                   GM0828\n",
      "election                             GR2022_Oss\n",
      "electionName              Gemeenteraad Oss 2022\n",
      "geometry                            POINT (0 0)\n",
      "Name: 7926, Length: 973, dtype: object\n",
      "Stembureau                                         200\n",
      "Adres                                                 \n",
      "Locatie                                          SB200\n",
      "description            Stembureau Mobiel stembureau Ma\n",
      "Geldige stemmen                                     30\n",
      "                                  ...                 \n",
      "één-Ermelo                                         NaN\n",
      "gmcode                                          GM1509\n",
      "election                       GR2022_OudeIJsselstreek\n",
      "electionName       Gemeenteraad Oude IJsselstreek 2022\n",
      "geometry                                   POINT (0 0)\n",
      "Name: 7958, Length: 973, dtype: object\n",
      "Stembureau                                         201\n",
      "Adres                                                 \n",
      "Locatie                                          SB201\n",
      "description            Stembureau Mobiel stembureau Di\n",
      "Geldige stemmen                                     30\n",
      "                                  ...                 \n",
      "één-Ermelo                                         NaN\n",
      "gmcode                                          GM1509\n",
      "election                       GR2022_OudeIJsselstreek\n",
      "electionName       Gemeenteraad Oude IJsselstreek 2022\n",
      "geometry                                   POINT (0 0)\n",
      "Name: 7959, Length: 973, dtype: object\n",
      "Stembureau                                         202\n",
      "Adres                                                 \n",
      "Locatie                                          SB202\n",
      "description           Stembureau Mobiel stembureau Woe\n",
      "Geldige stemmen                                     44\n",
      "                                  ...                 \n",
      "één-Ermelo                                         NaN\n",
      "gmcode                                          GM1509\n",
      "election                       GR2022_OudeIJsselstreek\n",
      "electionName       Gemeenteraad Oude IJsselstreek 2022\n",
      "geometry                                   POINT (0 0)\n",
      "Name: 7960, Length: 973, dtype: object\n",
      "Stembureau                                                        30\n",
      "Adres                                                               \n",
      "Locatie                                                         SB30\n",
      "description        Stembureau Stembureau voor de telling stembure...\n",
      "Geldige stemmen                                                 2004\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM1926\n",
      "election                                    GR2022_PijnackerNootdorp\n",
      "electionName                    Gemeenteraad Pijnacker-Nootdorp 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 8108, Length: 973, dtype: object\n",
      "Stembureau                                                        40\n",
      "Adres                                                               \n",
      "Locatie                                                         SB40\n",
      "description        Stembureau Stembureau voor de telling stembure...\n",
      "Geldige stemmen                                                 2953\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM1926\n",
      "election                                    GR2022_PijnackerNootdorp\n",
      "electionName                    Gemeenteraad Pijnacker-Nootdorp 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 8109, Length: 973, dtype: object\n",
      "Stembureau                                                      990\n",
      "Adres                                                              \n",
      "Locatie                                                       SB990\n",
      "description        Stembureau Mobiel stembureau (meerdere plaatsen)\n",
      "Geldige stemmen                                                  47\n",
      "                                         ...                       \n",
      "één-Ermelo                                                      NaN\n",
      "gmcode                                                       GM0177\n",
      "election                                              GR2022_Raalte\n",
      "electionName                               Gemeenteraad Raalte 2022\n",
      "geometry                                                POINT (0 0)\n",
      "Name: 8161, Length: 973, dtype: object\n",
      "Stembureau                                                      991\n",
      "Adres                                                              \n",
      "Locatie                                                       SB991\n",
      "description        Stembureau Mobiel stembureau (meerdere plaatsen)\n",
      "Geldige stemmen                                                  70\n",
      "                                         ...                       \n",
      "één-Ermelo                                                      NaN\n",
      "gmcode                                                       GM0177\n",
      "election                                              GR2022_Raalte\n",
      "electionName                               Gemeenteraad Raalte 2022\n",
      "geometry                                                POINT (0 0)\n",
      "Name: 8162, Length: 973, dtype: object\n",
      "Stembureau                                                      992\n",
      "Adres                                                              \n",
      "Locatie                                                       SB992\n",
      "description        Stembureau Mobiel stembureau (meerdere plaatsen)\n",
      "Geldige stemmen                                                  39\n",
      "                                         ...                       \n",
      "één-Ermelo                                                      NaN\n",
      "gmcode                                                       GM0177\n",
      "election                                              GR2022_Raalte\n",
      "electionName                               Gemeenteraad Raalte 2022\n",
      "geometry                                                POINT (0 0)\n",
      "Name: 8163, Length: 973, dtype: object\n",
      "Stembureau                                           17\n",
      "Adres                                                  \n",
      "Locatie                                            SB17\n",
      "description        Stembureau Mobiel Stembureau dinsdag\n",
      "Geldige stemmen                                     115\n",
      "                                   ...                 \n",
      "één-Ermelo                                          NaN\n",
      "gmcode                                           GM1742\n",
      "election                           GR2022_RijssenHolten\n",
      "electionName           Gemeenteraad Rijssen-Holten 2022\n",
      "geometry                                    POINT (0 0)\n",
      "Name: 8318, Length: 973, dtype: object\n",
      "Stembureau                                    228\n",
      "Adres                                            \n",
      "Locatie                                     SB228\n",
      "description        Stembureau Stembureau Drive-in\n",
      "Geldige stemmen                                80\n",
      "                                ...              \n",
      "één-Ermelo                                    NaN\n",
      "gmcode                                     GM0606\n",
      "election                          GR2022_Schiedam\n",
      "electionName           Gemeenteraad Schiedam 2022\n",
      "geometry                              POINT (0 0)\n",
      "Name: 9093, Length: 973, dtype: object\n",
      "Stembureau                                           30\n",
      "Adres                                                  \n",
      "Locatie                                            SB30\n",
      "description                Stembureau Mobiel stembureau\n",
      "Geldige stemmen                                      25\n",
      "                                   ...                 \n",
      "één-Ermelo                                          NaN\n",
      "gmcode                                           GM1676\n",
      "election                       GR2022_SchouwenDuiveland\n",
      "electionName       Gemeenteraad Schouwen-Duiveland 2022\n",
      "geometry                                    POINT (0 0)\n",
      "Name: 9151, Length: 973, dtype: object\n",
      "Stembureau                                           31\n",
      "Adres                                                  \n",
      "Locatie                                            SB31\n",
      "description                Stembureau Mobiel stembureau\n",
      "Geldige stemmen                                       8\n",
      "                                   ...                 \n",
      "één-Ermelo                                          NaN\n",
      "gmcode                                           GM1676\n",
      "election                       GR2022_SchouwenDuiveland\n",
      "electionName       Gemeenteraad Schouwen-Duiveland 2022\n",
      "geometry                                    POINT (0 0)\n",
      "Name: 9152, Length: 973, dtype: object\n",
      "Stembureau                                           32\n",
      "Adres                                                  \n",
      "Locatie                                            SB32\n",
      "description                Stembureau Mobiel stembureau\n",
      "Geldige stemmen                                      24\n",
      "                                   ...                 \n",
      "één-Ermelo                                          NaN\n",
      "gmcode                                           GM1676\n",
      "election                       GR2022_SchouwenDuiveland\n",
      "electionName       Gemeenteraad Schouwen-Duiveland 2022\n",
      "geometry                                    POINT (0 0)\n",
      "Name: 9153, Length: 973, dtype: object\n",
      "Stembureau                                          76\n",
      "Adres                                                 \n",
      "Locatie                                           SB76\n",
      "description        Stembureau Rondvaartboot Toerist VI\n",
      "Geldige stemmen                                    148\n",
      "                                  ...                 \n",
      "één-Ermelo                                         NaN\n",
      "gmcode                                          GM1900\n",
      "election                         GR2022_SudwestFryslan\n",
      "electionName         Gemeenteraad Súdwest-Fryslân 2022\n",
      "geometry                                   POINT (0 0)\n",
      "Name: 9661, Length: 973, dtype: object\n",
      "Stembureau                                                        68\n",
      "Adres                                                               \n",
      "Locatie                                                         SB68\n",
      "description        Stembureau Drive Inn (evenemententerrein Het L...\n",
      "Geldige stemmen                                                  285\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0855\n",
      "election                                              GR2022_Tilburg\n",
      "electionName                               Gemeenteraad Tilburg 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 9853, Length: 973, dtype: object\n",
      "Stembureau                                   14\n",
      "Adres                                          \n",
      "Locatie                                    SB14\n",
      "description        Stembureau Mobiel Stembureau\n",
      "Geldige stemmen                              24\n",
      "                               ...             \n",
      "één-Ermelo                                  NaN\n",
      "gmcode                                   GM0047\n",
      "election                         GR2022_Veendam\n",
      "electionName          Gemeenteraad Veendam 2022\n",
      "geometry                            POINT (0 0)\n",
      "Name: 10427, Length: 973, dtype: object\n",
      "Stembureau                                   18\n",
      "Adres                                          \n",
      "Locatie                                    SB18\n",
      "description        Stembureau Mobiel stembureau\n",
      "Geldige stemmen                              50\n",
      "                               ...             \n",
      "één-Ermelo                                  NaN\n",
      "gmcode                                   GM0047\n",
      "election                         GR2022_Veendam\n",
      "electionName          Gemeenteraad Veendam 2022\n",
      "geometry                            POINT (0 0)\n",
      "Name: 10431, Length: 973, dtype: object\n",
      "Stembureau                                                   23\n",
      "Adres                                                          \n",
      "Locatie                                                    SB23\n",
      "description        Stembureau Stembureau Mobiel: Wkp Zout Veere\n",
      "Geldige stemmen                                              55\n",
      "                                       ...                     \n",
      "één-Ermelo                                                  NaN\n",
      "gmcode                                                   GM0717\n",
      "election                                           GR2022_Veere\n",
      "electionName                            Gemeenteraad Veere 2022\n",
      "geometry                                            POINT (0 0)\n",
      "Name: 10497, Length: 973, dtype: object\n",
      "Stembureau                                            24\n",
      "Adres                                                   \n",
      "Locatie                                             SB24\n",
      "description        Stembureau Stembureau Mobiel: Okp Dom\n",
      "Geldige stemmen                                       35\n",
      "                                   ...                  \n",
      "één-Ermelo                                           NaN\n",
      "gmcode                                            GM0717\n",
      "election                                    GR2022_Veere\n",
      "electionName                     Gemeenteraad Veere 2022\n",
      "geometry                                     POINT (0 0)\n",
      "Name: 10498, Length: 973, dtype: object\n",
      "Stembureau                                     115\n",
      "Adres                                             \n",
      "Locatie                                      SB115\n",
      "description        Stembureau Tent Nijverheidslaan\n",
      "Geldige stemmen                                258\n",
      "                                ...               \n",
      "één-Ermelo                                     NaN\n",
      "gmcode                                      GM0861\n",
      "election                          GR2022_Veldhoven\n",
      "electionName           Gemeenteraad Veldhoven 2022\n",
      "geometry                               POINT (0 0)\n",
      "Name: 10525, Length: 973, dtype: object\n",
      "Stembureau                                     116\n",
      "Adres                                             \n",
      "Locatie                                      SB116\n",
      "description        Stembureau Tent Nijverheidslaan\n",
      "Geldige stemmen                                377\n",
      "                                ...               \n",
      "één-Ermelo                                     NaN\n",
      "gmcode                                      GM0861\n",
      "election                          GR2022_Veldhoven\n",
      "electionName           Gemeenteraad Veldhoven 2022\n",
      "geometry                               POINT (0 0)\n",
      "Name: 10526, Length: 973, dtype: object\n",
      "Stembureau                                         117\n",
      "Adres                                                 \n",
      "Locatie                                          SB117\n",
      "description        Stembureau Tent Peter Benenson park\n",
      "Geldige stemmen                                    285\n",
      "                                  ...                 \n",
      "één-Ermelo                                         NaN\n",
      "gmcode                                          GM0861\n",
      "election                              GR2022_Veldhoven\n",
      "electionName               Gemeenteraad Veldhoven 2022\n",
      "geometry                                   POINT (0 0)\n",
      "Name: 10527, Length: 973, dtype: object\n",
      "Stembureau                                         118\n",
      "Adres                                                 \n",
      "Locatie                                          SB118\n",
      "description        Stembureau Tent Peter Benenson park\n",
      "Geldige stemmen                                    329\n",
      "                                  ...                 \n",
      "één-Ermelo                                         NaN\n",
      "gmcode                                          GM0861\n",
      "election                              GR2022_Veldhoven\n",
      "electionName               Gemeenteraad Veldhoven 2022\n",
      "geometry                                   POINT (0 0)\n",
      "Name: 10528, Length: 973, dtype: object\n",
      "Stembureau                                              310\n",
      "Adres                                                      \n",
      "Locatie                                               SB310\n",
      "description        Stembureau Mobiel Bijzonder stembureau 1\n",
      "Geldige stemmen                                          26\n",
      "                                     ...                   \n",
      "één-Ermelo                                              NaN\n",
      "gmcode                                               GM0983\n",
      "election                                       GR2022_Venlo\n",
      "electionName                        Gemeenteraad Venlo 2022\n",
      "geometry                                        POINT (0 0)\n",
      "Name: 10623, Length: 973, dtype: object\n",
      "Stembureau                                              311\n",
      "Adres                                                      \n",
      "Locatie                                               SB311\n",
      "description        Stembureau Mobiel Bijzonder stembureau 2\n",
      "Geldige stemmen                                          55\n",
      "                                     ...                   \n",
      "één-Ermelo                                              NaN\n",
      "gmcode                                               GM0983\n",
      "election                                       GR2022_Venlo\n",
      "electionName                        Gemeenteraad Venlo 2022\n",
      "geometry                                        POINT (0 0)\n",
      "Name: 10624, Length: 973, dtype: object\n",
      "Stembureau                                     88\n",
      "Adres                                            \n",
      "Locatie                                      SB88\n",
      "description        Stembureau Mobiel stembureau 1\n",
      "Geldige stemmen                                78\n",
      "                                ...              \n",
      "één-Ermelo                                    NaN\n",
      "gmcode                                     GM1949\n",
      "election                         GR2022_Waadhoeke\n",
      "electionName          Gemeenteraad Waadhoeke 2022\n",
      "geometry                              POINT (0 0)\n",
      "Name: 10894, Length: 973, dtype: object\n",
      "Stembureau                                     89\n",
      "Adres                                            \n",
      "Locatie                                      SB89\n",
      "description        Stembureau Mobiel stembureau 2\n",
      "Geldige stemmen                                35\n",
      "                                ...              \n",
      "één-Ermelo                                    NaN\n",
      "gmcode                                     GM1949\n",
      "election                         GR2022_Waadhoeke\n",
      "electionName          Gemeenteraad Waadhoeke 2022\n",
      "geometry                              POINT (0 0)\n",
      "Name: 10895, Length: 973, dtype: object\n",
      "Stembureau                                              31\n",
      "Adres                                                     \n",
      "Locatie                                               SB31\n",
      "description        Stembureau Stembureau Mobiel Stembureau\n",
      "Geldige stemmen                                         32\n",
      "                                    ...                   \n",
      "één-Ermelo                                             NaN\n",
      "gmcode                                              GM0988\n",
      "election                                      GR2022_Weert\n",
      "electionName                       Gemeenteraad Weert 2022\n",
      "geometry                                       POINT (0 0)\n",
      "Name: 11032, Length: 973, dtype: object\n",
      "Stembureau                                     0\n",
      "Adres                                           \n",
      "Locatie                                      SB0\n",
      "description                         Stembureau -\n",
      "Geldige stemmen                                0\n",
      "                               ...              \n",
      "één-Ermelo                                   NaN\n",
      "gmcode                                    GM1960\n",
      "election                       GR2022_WestBetuwe\n",
      "electionName       Gemeenteraad West Betuwe 2022\n",
      "geometry                             POINT (0 0)\n",
      "Name: 11101, Length: 973, dtype: object\n",
      "Stembureau                                                       132\n",
      "Adres                                                               \n",
      "Locatie                                                        SB132\n",
      "description        Stembureau Stembureau IJsselhallen drive thoug...\n",
      "Geldige stemmen                                                   52\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0193\n",
      "election                                               GR2022_Zwolle\n",
      "electionName                                Gemeenteraad Zwolle 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 12038, Length: 973, dtype: object\n",
      "Stembureau                                                       133\n",
      "Adres                                                               \n",
      "Locatie                                                        SB133\n",
      "description        Stembureau Stembureau IJsselhallen drive throu...\n",
      "Geldige stemmen                                                   48\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0193\n",
      "election                                               GR2022_Zwolle\n",
      "electionName                                Gemeenteraad Zwolle 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 12039, Length: 973, dtype: object\n",
      "Stembureau                                                       232\n",
      "Adres                                                               \n",
      "Locatie                                                        SB232\n",
      "description        Stembureau Stembureau IJsselhallen drive thoug...\n",
      "Geldige stemmen                                                  113\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0193\n",
      "election                                               GR2022_Zwolle\n",
      "electionName                                Gemeenteraad Zwolle 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 12053, Length: 973, dtype: object\n",
      "Stembureau                                                       233\n",
      "Adres                                                               \n",
      "Locatie                                                        SB233\n",
      "description        Stembureau Stembureau IJsselhallen drive throu...\n",
      "Geldige stemmen                                                   73\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0193\n",
      "election                                               GR2022_Zwolle\n",
      "electionName                                Gemeenteraad Zwolle 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 12054, Length: 973, dtype: object\n",
      "Stembureau                                               358\n",
      "Adres                                                       \n",
      "Locatie                                                SB358\n",
      "description        Stembureau Stembureau Mobiel stembureau 1\n",
      "Geldige stemmen                                           70\n",
      "                                     ...                    \n",
      "één-Ermelo                                               NaN\n",
      "gmcode                                                GM0193\n",
      "election                                       GR2022_Zwolle\n",
      "electionName                        Gemeenteraad Zwolle 2022\n",
      "geometry                                         POINT (0 0)\n",
      "Name: 12118, Length: 973, dtype: object\n",
      "Stembureau                                               359\n",
      "Adres                                                       \n",
      "Locatie                                                SB359\n",
      "description        Stembureau Stembureau Mobiel stembureau 2\n",
      "Geldige stemmen                                          169\n",
      "                                     ...                    \n",
      "één-Ermelo                                               NaN\n",
      "gmcode                                                GM0193\n",
      "election                                       GR2022_Zwolle\n",
      "electionName                        Gemeenteraad Zwolle 2022\n",
      "geometry                                         POINT (0 0)\n",
      "Name: 12119, Length: 973, dtype: object\n",
      "Stembureau                                               360\n",
      "Adres                                                       \n",
      "Locatie                                                SB360\n",
      "description        Stembureau Stembureau Mobiel stembureau 3\n",
      "Geldige stemmen                                           89\n",
      "                                     ...                    \n",
      "één-Ermelo                                               NaN\n",
      "gmcode                                                GM0193\n",
      "election                                       GR2022_Zwolle\n",
      "electionName                        Gemeenteraad Zwolle 2022\n",
      "geometry                                         POINT (0 0)\n",
      "Name: 12120, Length: 973, dtype: object\n",
      "Stembureau                                               361\n",
      "Adres                                                       \n",
      "Locatie                                                SB361\n",
      "description        Stembureau Stembureau Mobiel stembureau 4\n",
      "Geldige stemmen                                           36\n",
      "                                     ...                    \n",
      "één-Ermelo                                               NaN\n",
      "gmcode                                                GM0193\n",
      "election                                       GR2022_Zwolle\n",
      "electionName                        Gemeenteraad Zwolle 2022\n",
      "geometry                                         POINT (0 0)\n",
      "Name: 12121, Length: 973, dtype: object\n",
      "Stembureau                                                       114\n",
      "Adres                                                               \n",
      "Locatie                                                        SB114\n",
      "description        Stembureau Stembureau Mobiel stembureau (beper...\n",
      "Geldige stemmen                                                  109\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0796\n",
      "election                                       GR2022_sHertogenbosch\n",
      "electionName                      Gemeenteraad 's-Hertogenbosch 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 12504, Length: 973, dtype: object\n",
      "Stembureau                                                       115\n",
      "Adres                                                               \n",
      "Locatie                                                        SB115\n",
      "description        Stembureau Stembureau Mobiel Stembureau (beper...\n",
      "Geldige stemmen                                                   80\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0796\n",
      "election                                       GR2022_sHertogenbosch\n",
      "electionName                      Gemeenteraad 's-Hertogenbosch 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 12505, Length: 973, dtype: object\n",
      "Stembureau                                                       116\n",
      "Adres                                                               \n",
      "Locatie                                                        SB116\n",
      "description        Stembureau Stembureau Mobiel Stembureau (beper...\n",
      "Geldige stemmen                                                  119\n",
      "                                         ...                        \n",
      "één-Ermelo                                                       NaN\n",
      "gmcode                                                        GM0796\n",
      "election                                       GR2022_sHertogenbosch\n",
      "electionName                      Gemeenteraad 's-Hertogenbosch 2022\n",
      "geometry                                                 POINT (0 0)\n",
      "Name: 12506, Length: 973, dtype: object\n"
     ]
    }
   ],
   "source": [
    "for index, row in df_geojson.iterrows():\n",
    "    if (row.geometry.centroid.x == 0.00000):\n",
    "        print(row)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Het zijn dus duidelijk allemaal mobiele stemlokalen, die kunnen we in een aparte dataset houden voor later, voor nu zijn ze onbelangrijk voor de kaartweergave, laten we de dataset dus opsplitsen in drie dataframes, de originele, één frame zonder de mobiele stemlokalen, en de mobiele stemlokalen alleen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_112022/291552514.py:3: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n",
      "\n",
      "  \"\"\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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    }
   ],
   "source": [
    "# De waarschuwing over de projectie die niet klopt kan genegeerd worden, we zoeken naar data die x = 0 is,\n",
    "# de projectie gaat geen effect hebben op die data in Nederland.\n",
    "\n",
    "# Filter de data en print welke waardes 0 hebben op x.\n",
    "mobiel_mask = df_geojson['geometry'].centroid.x == 0\n",
    "i = 0\n",
    "for item in mobiel_mask:\n",
    "    if item:\n",
    "        print(i)\n",
    "    i = i + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       Stembureau   Adres Locatie  \\\n",
      "0               1  9461BH     SB1   \n",
      "1               2  9461DA     SB2   \n",
      "2               3  9461JA     SB3   \n",
      "3               4  9451KD     SB4   \n",
      "4               6  9454PL     SB6   \n",
      "...           ...     ...     ...   \n",
      "12591         703  5391AR   SB703   \n",
      "12592         705  5391AR   SB705   \n",
      "12593         750  5382KE   SB750   \n",
      "12594         751  5382KE   SB751   \n",
      "12595         752  5283KE   SB752   \n",
      "\n",
      "                                             description  Geldige stemmen  \\\n",
      "0      Stembureau Gemeentehuis Gieten (postcode: 9461...              784   \n",
      "1              Stembureau OBS Gieten (postcode: 9461 DA)              562   \n",
      "2      Stembureau Zorgcentrum Dekelhem (postcode: 946...              566   \n",
      "3      Stembureau Ontmoetingscentrum Boerhorn Rolde (...             1495   \n",
      "4      Stembureau Dropshuis de Eekhof (postcode: 9454...              347   \n",
      "...                                                  ...              ...   \n",
      "12591  Stembureau Stembureau Gemeenschapshuis de Meen...              268   \n",
      "12592  Stembureau Stembureau Gemeenschapshuis De Meen...              398   \n",
      "12593  Stembureau Stembureau Gemeenschapshuis 't Zijl...              663   \n",
      "12594  Stembureau Stembureau Gemeenschapshuis 't Zijl...              170   \n",
      "12595  Stembureau Stembureau Gemeenschapshuis 't Zijl...              222   \n",
      "\n",
      "       Opgeroepen  Ongeldig  Blanco  Geldige stempassen  \\\n",
      "0            2780         3       3                 700   \n",
      "1            1396         0       0                 518   \n",
      "2            1409         2       2                 516   \n",
      "3            2209         2       4                1335   \n",
      "4             477         0       2                 298   \n",
      "...           ...       ...     ...                 ...   \n",
      "12591           0         0       1                 237   \n",
      "12592           0         1       0                 359   \n",
      "12593        2321         2       0                 552   \n",
      "12594           0         0       0                 151   \n",
      "12595           0         0       0                 193   \n",
      "\n",
      "       Geldige volmachtbewijzen  ...  Partij voor Logisch Beleid (PvLB)  \\\n",
      "0                            90  ...                                NaN   \n",
      "1                            44  ...                                NaN   \n",
      "2                            54  ...                                NaN   \n",
      "3                           166  ...                                NaN   \n",
      "4                            51  ...                                NaN   \n",
      "...                         ...  ...                                ...   \n",
      "12591                        32  ...                                NaN   \n",
      "12592                        40  ...                                NaN   \n",
      "12593                       113  ...                                NaN   \n",
      "12594                        19  ...                                NaN   \n",
      "12595                        29  ...                                NaN   \n",
      "\n",
      "       Socialisten 010  Jong Rotterdam  VOOR Den Bosch Joep Gersjes  \\\n",
      "0                  NaN             NaN                          NaN   \n",
      "1                  NaN             NaN                          NaN   \n",
      "2                  NaN             NaN                          NaN   \n",
      "3                  NaN             NaN                          NaN   \n",
      "4                  NaN             NaN                          NaN   \n",
      "...                ...             ...                          ...   \n",
      "12591              NaN             NaN                          0.0   \n",
      "12592              NaN             NaN                          2.0   \n",
      "12593              NaN             NaN                          5.0   \n",
      "12594              NaN             NaN                          1.0   \n",
      "12595              NaN             NaN                          0.0   \n",
      "\n",
      "       Zorg Voor Gorkum  één-Ermelo  gmcode               election  \\\n",
      "0                   NaN         NaN  GM1680       GR2022_AaenHunze   \n",
      "1                   NaN         NaN  GM1680       GR2022_AaenHunze   \n",
      "2                   NaN         NaN  GM1680       GR2022_AaenHunze   \n",
      "3                   NaN         NaN  GM1680       GR2022_AaenHunze   \n",
      "4                   NaN         NaN  GM1680       GR2022_AaenHunze   \n",
      "...                 ...         ...     ...                    ...   \n",
      "12591               NaN         NaN  GM0796  GR2022_sHertogenbosch   \n",
      "12592               NaN         NaN  GM0796  GR2022_sHertogenbosch   \n",
      "12593               NaN         NaN  GM0796  GR2022_sHertogenbosch   \n",
      "12594               NaN         NaN  GM0796  GR2022_sHertogenbosch   \n",
      "12595               NaN         NaN  GM0796  GR2022_sHertogenbosch   \n",
      "\n",
      "                             electionName                  geometry  \n",
      "0           Gemeenteraad Aa en Hunze 2022  POINT (6.75899 53.00524)  \n",
      "1           Gemeenteraad Aa en Hunze 2022  POINT (6.75990 52.99975)  \n",
      "2           Gemeenteraad Aa en Hunze 2022  POINT (6.76600 53.00494)  \n",
      "3           Gemeenteraad Aa en Hunze 2022  POINT (6.64736 52.98281)  \n",
      "4           Gemeenteraad Aa en Hunze 2022  POINT (6.60459 52.95269)  \n",
      "...                                   ...                       ...  \n",
      "12591  Gemeenteraad 's-Hertogenbosch 2022  POINT (5.43290 51.72810)  \n",
      "12592  Gemeenteraad 's-Hertogenbosch 2022  POINT (5.43290 51.72810)  \n",
      "12593  Gemeenteraad 's-Hertogenbosch 2022  POINT (5.45919 51.70595)  \n",
      "12594  Gemeenteraad 's-Hertogenbosch 2022  POINT (5.45919 51.70595)  \n",
      "12595  Gemeenteraad 's-Hertogenbosch 2022  POINT (5.45919 51.70595)  \n",
      "\n",
      "[12532 rows x 973 columns]\n"
     ]
    }
   ],
   "source": [
    "df_geojson_clean = df_geojson[~mobiel_mask]\n",
    "df_geojson_mobiel = df_geojson[mobiel_mask]\n",
    "print(df_geojson_clean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's also check if none fell through the cracks, it might be some mobile polls did actually have a location\n",
    "# posted erroneously\n",
    "#mobiel_mask_name = df_geojson_clean['description'].str.contains('Mobiel')\n",
    "#df_geojson_clean = df_geojson_clean[~mobiel_mask_name]\n",
    "#df_geojson_clean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 'Waar is mijn stemlokaal' dataset (wims)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>_id</th>\n",
       "      <th>Gemeente</th>\n",
       "      <th>CBS gemeentecode</th>\n",
       "      <th>Nummer stembureau</th>\n",
       "      <th>Naam stembureau</th>\n",
       "      <th>Gebruiksdoel van het gebouw</th>\n",
       "      <th>Website locatie</th>\n",
       "      <th>Wijknaam</th>\n",
       "      <th>CBS wijknummer</th>\n",
       "      <th>Buurtnaam</th>\n",
       "      <th>...</th>\n",
       "      <th>Kieskring ID</th>\n",
       "      <th>Hoofdstembureau</th>\n",
       "      <th>Tellocatie</th>\n",
       "      <th>Contactgegevens gemeente</th>\n",
       "      <th>Verkiezingswebsite gemeente</th>\n",
       "      <th>Verkiezingen</th>\n",
       "      <th>ID</th>\n",
       "      <th>UUID</th>\n",
       "      <th>Unnamed: 39</th>\n",
       "      <th>Unnamed: 40</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Valkenswaard</td>\n",
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       "      <td>1</td>\n",
       "      <td>Zorgcentrum Kempenhof</td>\n",
       "      <td>gezondheidszorgfunctie</td>\n",
       "      <td>https://www.valkenhof.nl/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@valkenswaard.nl</td>\n",
       "      <td>http://www.valkenswaard.nl/verkiezingen</td>\n",
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       "      <td>NLODSGM0858stembureaus20220316009</td>\n",
       "      <td>3a612b2151fa4ab491b9e331355e6258</td>\n",
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       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>2</td>\n",
       "      <td>Buurtgebouw De Horizon</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@valkenswaard.nl</td>\n",
       "      <td>http://www.valkenswaard.nl/verkiezingen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0858stembureaus20220316009</td>\n",
       "      <td>9a01d765af0a467ea37f08d92db114ba</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>3</td>\n",
       "      <td>Speeltuin Geenhoven</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@valkenswaard.nl</td>\n",
       "      <td>http://www.valkenswaard.nl/verkiezingen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0858stembureaus20220316009</td>\n",
       "      <td>fc5869d33fbc4b06be659149fa615f4c</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>4</td>\n",
       "      <td>Ontmoetingscentrum De zoete inval</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@valkenswaard.nl</td>\n",
       "      <td>http://www.valkenswaard.nl/verkiezingen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0858stembureaus20220316009</td>\n",
       "      <td>4427cc0b39e040ba8f75c333f19d66f0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>5</td>\n",
       "      <td>Gymnastiekzaal 't Gegraaf</td>\n",
       "      <td>sportfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@valkenswaard.nl</td>\n",
       "      <td>http://www.valkenswaard.nl/verkiezingen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0858stembureaus20220316009</td>\n",
       "      <td>a893bb9add324ce29769f1c39afcc48d</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>9270</th>\n",
       "      <td>38745</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>4</td>\n",
       "      <td>Het Hökske</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>ja</td>\n",
       "      <td>Klantcontactcentrum gemeente Gennep gemeente@g...</td>\n",
       "      <td>https://www.gennep.nl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0907stembureaus20220316009</td>\n",
       "      <td>f744546cd6894e5e9a4db4bbfd81b4ee</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9271</th>\n",
       "      <td>38746</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>5</td>\n",
       "      <td>Buurthuis VanOns</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>ja</td>\n",
       "      <td>Klantcontactcentrum gemeente Gennep gemeente@g...</td>\n",
       "      <td>https://www.gennep.nl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0907stembureaus20220316009</td>\n",
       "      <td>1270081b1dc74cd7bea0f45973650408</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9272</th>\n",
       "      <td>38747</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>6</td>\n",
       "      <td>'t Trefpunt</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>ja</td>\n",
       "      <td>Klantcontactcentrum gemeente Gennep gemeente@g...</td>\n",
       "      <td>https://www.gennep.nl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0907stembureaus20220316009</td>\n",
       "      <td>447c7742604345139e41def4cf1e4d3c</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9273</th>\n",
       "      <td>38748</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>8</td>\n",
       "      <td>De Uitkomst</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>ja</td>\n",
       "      <td>Klantcontactcentrum gemeente Gennep gemeente@g...</td>\n",
       "      <td>https://www.gennep.nl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0907stembureaus20220316009</td>\n",
       "      <td>049cfd258c174bc49abf17883396d083</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9274</th>\n",
       "      <td>38749</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>1</td>\n",
       "      <td>Zaal Buurman</td>\n",
       "      <td>woonfunctie,bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Klantcontactcentrum gemeente Gennep gemeente@g...</td>\n",
       "      <td>https://www.gennep.nl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0907stembureaus20220316009</td>\n",
       "      <td>1e8cbe96e72c4c6ba6303f47bec8cdb5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9275 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        _id      Gemeente CBS gemeentecode  Nummer stembureau  \\\n",
       "0         1  Valkenswaard           GM0858                  1   \n",
       "1         2  Valkenswaard           GM0858                  2   \n",
       "2         3  Valkenswaard           GM0858                  3   \n",
       "3         4  Valkenswaard           GM0858                  4   \n",
       "4         5  Valkenswaard           GM0858                  5   \n",
       "...     ...           ...              ...                ...   \n",
       "9270  38745        Gennep           GM0907                  4   \n",
       "9271  38746        Gennep           GM0907                  5   \n",
       "9272  38747        Gennep           GM0907                  6   \n",
       "9273  38748        Gennep           GM0907                  8   \n",
       "9274  38749        Gennep           GM0907                  1   \n",
       "\n",
       "                        Naam stembureau     Gebruiksdoel van het gebouw  \\\n",
       "0                 Zorgcentrum Kempenhof          gezondheidszorgfunctie   \n",
       "1                Buurtgebouw De Horizon              bijeenkomstfunctie   \n",
       "2                   Speeltuin Geenhoven              bijeenkomstfunctie   \n",
       "3     Ontmoetingscentrum De zoete inval              bijeenkomstfunctie   \n",
       "4             Gymnastiekzaal 't Gegraaf                    sportfunctie   \n",
       "...                                 ...                             ...   \n",
       "9270                         Het Hökske              bijeenkomstfunctie   \n",
       "9271                   Buurthuis VanOns              bijeenkomstfunctie   \n",
       "9272                        't Trefpunt              bijeenkomstfunctie   \n",
       "9273                        De Uitkomst              bijeenkomstfunctie   \n",
       "9274                       Zaal Buurman  woonfunctie,bijeenkomstfunctie   \n",
       "\n",
       "                Website locatie Wijknaam  CBS wijknummer  Buurtnaam  ...  \\\n",
       "0     https://www.valkenhof.nl/      NaN             NaN        NaN  ...   \n",
       "1                           NaN      NaN             NaN        NaN  ...   \n",
       "2                           NaN      NaN             NaN        NaN  ...   \n",
       "3                           NaN      NaN             NaN        NaN  ...   \n",
       "4                           NaN      NaN             NaN        NaN  ...   \n",
       "...                         ...      ...             ...        ...  ...   \n",
       "9270                        NaN      NaN             NaN        NaN  ...   \n",
       "9271                        NaN      NaN             NaN        NaN  ...   \n",
       "9272                        NaN      NaN             NaN        NaN  ...   \n",
       "9273                        NaN      NaN             NaN        NaN  ...   \n",
       "9274                        NaN      NaN             NaN        NaN  ...   \n",
       "\n",
       "      Kieskring ID  Hoofdstembureau Tellocatie  \\\n",
       "0     Valkenswaard     Valkenswaard        NaN   \n",
       "1     Valkenswaard     Valkenswaard        NaN   \n",
       "2     Valkenswaard     Valkenswaard        NaN   \n",
       "3     Valkenswaard     Valkenswaard        NaN   \n",
       "4     Valkenswaard     Valkenswaard        NaN   \n",
       "...            ...              ...        ...   \n",
       "9270        Gennep           Gennep         ja   \n",
       "9271        Gennep           Gennep         ja   \n",
       "9272        Gennep           Gennep         ja   \n",
       "9273        Gennep           Gennep         ja   \n",
       "9274        Gennep           Gennep        NaN   \n",
       "\n",
       "                               Contactgegevens gemeente  \\\n",
       "0                          verkiezingen@valkenswaard.nl   \n",
       "1                          verkiezingen@valkenswaard.nl   \n",
       "2                          verkiezingen@valkenswaard.nl   \n",
       "3                          verkiezingen@valkenswaard.nl   \n",
       "4                          verkiezingen@valkenswaard.nl   \n",
       "...                                                 ...   \n",
       "9270  Klantcontactcentrum gemeente Gennep gemeente@g...   \n",
       "9271  Klantcontactcentrum gemeente Gennep gemeente@g...   \n",
       "9272  Klantcontactcentrum gemeente Gennep gemeente@g...   \n",
       "9273  Klantcontactcentrum gemeente Gennep gemeente@g...   \n",
       "9274  Klantcontactcentrum gemeente Gennep gemeente@g...   \n",
       "\n",
       "                  Verkiezingswebsite gemeente Verkiezingen  \\\n",
       "0     http://www.valkenswaard.nl/verkiezingen          NaN   \n",
       "1     http://www.valkenswaard.nl/verkiezingen          NaN   \n",
       "2     http://www.valkenswaard.nl/verkiezingen          NaN   \n",
       "3     http://www.valkenswaard.nl/verkiezingen          NaN   \n",
       "4     http://www.valkenswaard.nl/verkiezingen          NaN   \n",
       "...                                       ...          ...   \n",
       "9270                    https://www.gennep.nl          NaN   \n",
       "9271                    https://www.gennep.nl          NaN   \n",
       "9272                    https://www.gennep.nl          NaN   \n",
       "9273                    https://www.gennep.nl          NaN   \n",
       "9274                    https://www.gennep.nl          NaN   \n",
       "\n",
       "                                     ID                              UUID  \\\n",
       "0     NLODSGM0858stembureaus20220316009  3a612b2151fa4ab491b9e331355e6258   \n",
       "1     NLODSGM0858stembureaus20220316009  9a01d765af0a467ea37f08d92db114ba   \n",
       "2     NLODSGM0858stembureaus20220316009  fc5869d33fbc4b06be659149fa615f4c   \n",
       "3     NLODSGM0858stembureaus20220316009  4427cc0b39e040ba8f75c333f19d66f0   \n",
       "4     NLODSGM0858stembureaus20220316009  a893bb9add324ce29769f1c39afcc48d   \n",
       "...                                 ...                               ...   \n",
       "9270  NLODSGM0907stembureaus20220316009  f744546cd6894e5e9a4db4bbfd81b4ee   \n",
       "9271  NLODSGM0907stembureaus20220316009  1270081b1dc74cd7bea0f45973650408   \n",
       "9272  NLODSGM0907stembureaus20220316009  447c7742604345139e41def4cf1e4d3c   \n",
       "9273  NLODSGM0907stembureaus20220316009  049cfd258c174bc49abf17883396d083   \n",
       "9274  NLODSGM0907stembureaus20220316009  1e8cbe96e72c4c6ba6303f47bec8cdb5   \n",
       "\n",
       "     Unnamed: 39 Unnamed: 40  \n",
       "0            NaN         NaN  \n",
       "1            NaN         NaN  \n",
       "2            NaN         NaN  \n",
       "3            NaN         NaN  \n",
       "4            NaN         NaN  \n",
       "...          ...         ...  \n",
       "9270         NaN         NaN  \n",
       "9271         NaN         NaN  \n",
       "9272         NaN         NaN  \n",
       "9273         NaN         NaN  \n",
       "9274         NaN         NaN  \n",
       "\n",
       "[9275 rows x 41 columns]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_wims = pd.read_csv(r'../data/wims-3.csv')\n",
    "df_wims"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>_id</th>\n",
       "      <th>Gemeente</th>\n",
       "      <th>CBS gemeentecode</th>\n",
       "      <th>Nummer stembureau</th>\n",
       "      <th>Naam stembureau</th>\n",
       "      <th>Gebruiksdoel van het gebouw</th>\n",
       "      <th>Website locatie</th>\n",
       "      <th>Wijknaam</th>\n",
       "      <th>CBS wijknummer</th>\n",
       "      <th>Buurtnaam</th>\n",
       "      <th>...</th>\n",
       "      <th>Hoofdstembureau</th>\n",
       "      <th>Tellocatie</th>\n",
       "      <th>Contactgegevens gemeente</th>\n",
       "      <th>Verkiezingswebsite gemeente</th>\n",
       "      <th>Verkiezingen</th>\n",
       "      <th>ID</th>\n",
       "      <th>UUID</th>\n",
       "      <th>Unnamed: 39</th>\n",
       "      <th>Unnamed: 40</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
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       "      <td>Zorgcentrum Kempenhof</td>\n",
       "      <td>gezondheidszorgfunctie</td>\n",
       "      <td>https://www.valkenhof.nl/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@valkenswaard.nl</td>\n",
       "      <td>http://www.valkenswaard.nl/verkiezingen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0858stembureaus20220316009</td>\n",
       "      <td>3a612b2151fa4ab491b9e331355e6258</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (5.45515 51.34711)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>2</td>\n",
       "      <td>Buurtgebouw De Horizon</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@valkenswaard.nl</td>\n",
       "      <td>http://www.valkenswaard.nl/verkiezingen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0858stembureaus20220316009</td>\n",
       "      <td>9a01d765af0a467ea37f08d92db114ba</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (5.45137 51.34955)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>3</td>\n",
       "      <td>Speeltuin Geenhoven</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@valkenswaard.nl</td>\n",
       "      <td>http://www.valkenswaard.nl/verkiezingen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0858stembureaus20220316009</td>\n",
       "      <td>fc5869d33fbc4b06be659149fa615f4c</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (5.44827 51.35702)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>4</td>\n",
       "      <td>Ontmoetingscentrum De zoete inval</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@valkenswaard.nl</td>\n",
       "      <td>http://www.valkenswaard.nl/verkiezingen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0858stembureaus20220316009</td>\n",
       "      <td>4427cc0b39e040ba8f75c333f19d66f0</td>\n",
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       "      <th>4</th>\n",
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       "      <td>Valkenswaard</td>\n",
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       "      <td>Gymnastiekzaal 't Gegraaf</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Valkenswaard</td>\n",
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       "      <td>verkiezingen@valkenswaard.nl</td>\n",
       "      <td>http://www.valkenswaard.nl/verkiezingen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0858stembureaus20220316009</td>\n",
       "      <td>a893bb9add324ce29769f1c39afcc48d</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (5.45331 51.36514)</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>9270</th>\n",
       "      <td>38745</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>4</td>\n",
       "      <td>Het Hökske</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>ja</td>\n",
       "      <td>Klantcontactcentrum gemeente Gennep gemeente@g...</td>\n",
       "      <td>https://www.gennep.nl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0907stembureaus20220316009</td>\n",
       "      <td>f744546cd6894e5e9a4db4bbfd81b4ee</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (5.98266 51.69726)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9271</th>\n",
       "      <td>38746</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
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       "      <td>Buurthuis VanOns</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>ja</td>\n",
       "      <td>Klantcontactcentrum gemeente Gennep gemeente@g...</td>\n",
       "      <td>https://www.gennep.nl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0907stembureaus20220316009</td>\n",
       "      <td>1270081b1dc74cd7bea0f45973650408</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (5.98127 51.69000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9272</th>\n",
       "      <td>38747</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>6</td>\n",
       "      <td>'t Trefpunt</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>ja</td>\n",
       "      <td>Klantcontactcentrum gemeente Gennep gemeente@g...</td>\n",
       "      <td>https://www.gennep.nl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0907stembureaus20220316009</td>\n",
       "      <td>447c7742604345139e41def4cf1e4d3c</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (5.95118 51.72591)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9273</th>\n",
       "      <td>38748</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>8</td>\n",
       "      <td>De Uitkomst</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>ja</td>\n",
       "      <td>Klantcontactcentrum gemeente Gennep gemeente@g...</td>\n",
       "      <td>https://www.gennep.nl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0907stembureaus20220316009</td>\n",
       "      <td>049cfd258c174bc49abf17883396d083</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (6.01556 51.70976)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9274</th>\n",
       "      <td>38749</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>1</td>\n",
       "      <td>Zaal Buurman</td>\n",
       "      <td>woonfunctie,bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Klantcontactcentrum gemeente Gennep gemeente@g...</td>\n",
       "      <td>https://www.gennep.nl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0907stembureaus20220316009</td>\n",
       "      <td>1e8cbe96e72c4c6ba6303f47bec8cdb5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (5.98514 51.70189)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9275 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        _id      Gemeente CBS gemeentecode  Nummer stembureau  \\\n",
       "0         1  Valkenswaard           GM0858                  1   \n",
       "1         2  Valkenswaard           GM0858                  2   \n",
       "2         3  Valkenswaard           GM0858                  3   \n",
       "3         4  Valkenswaard           GM0858                  4   \n",
       "4         5  Valkenswaard           GM0858                  5   \n",
       "...     ...           ...              ...                ...   \n",
       "9270  38745        Gennep           GM0907                  4   \n",
       "9271  38746        Gennep           GM0907                  5   \n",
       "9272  38747        Gennep           GM0907                  6   \n",
       "9273  38748        Gennep           GM0907                  8   \n",
       "9274  38749        Gennep           GM0907                  1   \n",
       "\n",
       "                        Naam stembureau     Gebruiksdoel van het gebouw  \\\n",
       "0                 Zorgcentrum Kempenhof          gezondheidszorgfunctie   \n",
       "1                Buurtgebouw De Horizon              bijeenkomstfunctie   \n",
       "2                   Speeltuin Geenhoven              bijeenkomstfunctie   \n",
       "3     Ontmoetingscentrum De zoete inval              bijeenkomstfunctie   \n",
       "4             Gymnastiekzaal 't Gegraaf                    sportfunctie   \n",
       "...                                 ...                             ...   \n",
       "9270                         Het Hökske              bijeenkomstfunctie   \n",
       "9271                   Buurthuis VanOns              bijeenkomstfunctie   \n",
       "9272                        't Trefpunt              bijeenkomstfunctie   \n",
       "9273                        De Uitkomst              bijeenkomstfunctie   \n",
       "9274                       Zaal Buurman  woonfunctie,bijeenkomstfunctie   \n",
       "\n",
       "                Website locatie Wijknaam  CBS wijknummer  Buurtnaam  ...  \\\n",
       "0     https://www.valkenhof.nl/      NaN             NaN        NaN  ...   \n",
       "1                           NaN      NaN             NaN        NaN  ...   \n",
       "2                           NaN      NaN             NaN        NaN  ...   \n",
       "3                           NaN      NaN             NaN        NaN  ...   \n",
       "4                           NaN      NaN             NaN        NaN  ...   \n",
       "...                         ...      ...             ...        ...  ...   \n",
       "9270                        NaN      NaN             NaN        NaN  ...   \n",
       "9271                        NaN      NaN             NaN        NaN  ...   \n",
       "9272                        NaN      NaN             NaN        NaN  ...   \n",
       "9273                        NaN      NaN             NaN        NaN  ...   \n",
       "9274                        NaN      NaN             NaN        NaN  ...   \n",
       "\n",
       "      Hoofdstembureau  Tellocatie  \\\n",
       "0        Valkenswaard         NaN   \n",
       "1        Valkenswaard         NaN   \n",
       "2        Valkenswaard         NaN   \n",
       "3        Valkenswaard         NaN   \n",
       "4        Valkenswaard         NaN   \n",
       "...               ...         ...   \n",
       "9270           Gennep          ja   \n",
       "9271           Gennep          ja   \n",
       "9272           Gennep          ja   \n",
       "9273           Gennep          ja   \n",
       "9274           Gennep         NaN   \n",
       "\n",
       "                               Contactgegevens gemeente  \\\n",
       "0                          verkiezingen@valkenswaard.nl   \n",
       "1                          verkiezingen@valkenswaard.nl   \n",
       "2                          verkiezingen@valkenswaard.nl   \n",
       "3                          verkiezingen@valkenswaard.nl   \n",
       "4                          verkiezingen@valkenswaard.nl   \n",
       "...                                                 ...   \n",
       "9270  Klantcontactcentrum gemeente Gennep gemeente@g...   \n",
       "9271  Klantcontactcentrum gemeente Gennep gemeente@g...   \n",
       "9272  Klantcontactcentrum gemeente Gennep gemeente@g...   \n",
       "9273  Klantcontactcentrum gemeente Gennep gemeente@g...   \n",
       "9274  Klantcontactcentrum gemeente Gennep gemeente@g...   \n",
       "\n",
       "                  Verkiezingswebsite gemeente Verkiezingen  \\\n",
       "0     http://www.valkenswaard.nl/verkiezingen          NaN   \n",
       "1     http://www.valkenswaard.nl/verkiezingen          NaN   \n",
       "2     http://www.valkenswaard.nl/verkiezingen          NaN   \n",
       "3     http://www.valkenswaard.nl/verkiezingen          NaN   \n",
       "4     http://www.valkenswaard.nl/verkiezingen          NaN   \n",
       "...                                       ...          ...   \n",
       "9270                    https://www.gennep.nl          NaN   \n",
       "9271                    https://www.gennep.nl          NaN   \n",
       "9272                    https://www.gennep.nl          NaN   \n",
       "9273                    https://www.gennep.nl          NaN   \n",
       "9274                    https://www.gennep.nl          NaN   \n",
       "\n",
       "                                     ID                              UUID  \\\n",
       "0     NLODSGM0858stembureaus20220316009  3a612b2151fa4ab491b9e331355e6258   \n",
       "1     NLODSGM0858stembureaus20220316009  9a01d765af0a467ea37f08d92db114ba   \n",
       "2     NLODSGM0858stembureaus20220316009  fc5869d33fbc4b06be659149fa615f4c   \n",
       "3     NLODSGM0858stembureaus20220316009  4427cc0b39e040ba8f75c333f19d66f0   \n",
       "4     NLODSGM0858stembureaus20220316009  a893bb9add324ce29769f1c39afcc48d   \n",
       "...                                 ...                               ...   \n",
       "9270  NLODSGM0907stembureaus20220316009  f744546cd6894e5e9a4db4bbfd81b4ee   \n",
       "9271  NLODSGM0907stembureaus20220316009  1270081b1dc74cd7bea0f45973650408   \n",
       "9272  NLODSGM0907stembureaus20220316009  447c7742604345139e41def4cf1e4d3c   \n",
       "9273  NLODSGM0907stembureaus20220316009  049cfd258c174bc49abf17883396d083   \n",
       "9274  NLODSGM0907stembureaus20220316009  1e8cbe96e72c4c6ba6303f47bec8cdb5   \n",
       "\n",
       "     Unnamed: 39 Unnamed: 40                  geometry  \n",
       "0            NaN         NaN  POINT (5.45515 51.34711)  \n",
       "1            NaN         NaN  POINT (5.45137 51.34955)  \n",
       "2            NaN         NaN  POINT (5.44827 51.35702)  \n",
       "3            NaN         NaN  POINT (5.44871 51.36022)  \n",
       "4            NaN         NaN  POINT (5.45331 51.36514)  \n",
       "...          ...         ...                       ...  \n",
       "9270         NaN         NaN  POINT (5.98266 51.69726)  \n",
       "9271         NaN         NaN  POINT (5.98127 51.69000)  \n",
       "9272         NaN         NaN  POINT (5.95118 51.72591)  \n",
       "9273         NaN         NaN  POINT (6.01556 51.70976)  \n",
       "9274         NaN         NaN  POINT (5.98514 51.70189)  \n",
       "\n",
       "[9275 rows x 42 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert the wims data to a geopandas dataframe\n",
    "gdf_wims = gpd.GeoDataFrame(\n",
    "    df_wims,\n",
    "    geometry=gpd.points_from_xy(df_wims.Longitude, df_wims.Latitude)\n",
    ").set_crs(epsg=4326, inplace=True)\n",
    "\n",
    "gdf_wims"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>_id</th>\n",
       "      <th>Gemeente</th>\n",
       "      <th>CBS gemeentecode</th>\n",
       "      <th>Nummer stembureau</th>\n",
       "      <th>Naam stembureau</th>\n",
       "      <th>Gebruiksdoel van het gebouw</th>\n",
       "      <th>Website locatie</th>\n",
       "      <th>Wijknaam</th>\n",
       "      <th>CBS wijknummer</th>\n",
       "      <th>Buurtnaam</th>\n",
       "      <th>...</th>\n",
       "      <th>Hoofdstembureau</th>\n",
       "      <th>Tellocatie</th>\n",
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       "      <th>Verkiezingswebsite gemeente</th>\n",
       "      <th>Verkiezingen</th>\n",
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       "      <th>Unnamed: 39</th>\n",
       "      <th>Unnamed: 40</th>\n",
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       "  </thead>\n",
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       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>verkiezingen@valkenswaard.nl</td>\n",
       "      <td>http://www.valkenswaard.nl/verkiezingen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0858stembureaus20220316009</td>\n",
       "      <td>3a612b2151fa4ab491b9e331355e6258</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>2</td>\n",
       "      <td>Buurtgebouw De Horizon</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@valkenswaard.nl</td>\n",
       "      <td>http://www.valkenswaard.nl/verkiezingen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0858stembureaus20220316009</td>\n",
       "      <td>9a01d765af0a467ea37f08d92db114ba</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (5.45137 51.34955)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>3</td>\n",
       "      <td>Speeltuin Geenhoven</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@valkenswaard.nl</td>\n",
       "      <td>http://www.valkenswaard.nl/verkiezingen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0858stembureaus20220316009</td>\n",
       "      <td>fc5869d33fbc4b06be659149fa615f4c</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>POINT (5.44827 51.35702)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>4</td>\n",
       "      <td>Ontmoetingscentrum De zoete inval</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Valkenswaard</td>\n",
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       "      <td>http://www.valkenswaard.nl/verkiezingen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0858stembureaus20220316009</td>\n",
       "      <td>4427cc0b39e040ba8f75c333f19d66f0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Valkenswaard</td>\n",
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       "      <td>verkiezingen@valkenswaard.nl</td>\n",
       "      <td>http://www.valkenswaard.nl/verkiezingen</td>\n",
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       "      <td>NLODSGM0858stembureaus20220316009</td>\n",
       "      <td>a893bb9add324ce29769f1c39afcc48d</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>POINT (5.45331 51.36514)</td>\n",
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       "      <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",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>9270</th>\n",
       "      <td>38745</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>4</td>\n",
       "      <td>Het Hökske</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>ja</td>\n",
       "      <td>Klantcontactcentrum gemeente Gennep gemeente@g...</td>\n",
       "      <td>https://www.gennep.nl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0907stembureaus20220316009</td>\n",
       "      <td>f744546cd6894e5e9a4db4bbfd81b4ee</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>POINT (5.98266 51.69726)</td>\n",
       "    </tr>\n",
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       "      <th>9271</th>\n",
       "      <td>38746</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>Gennep</td>\n",
       "      <td>ja</td>\n",
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       "      <td>https://www.gennep.nl</td>\n",
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       "      <td>1270081b1dc74cd7bea0f45973650408</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (5.98127 51.69000)</td>\n",
       "    </tr>\n",
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       "      <th>9272</th>\n",
       "      <td>38747</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>6</td>\n",
       "      <td>'t Trefpunt</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>ja</td>\n",
       "      <td>Klantcontactcentrum gemeente Gennep gemeente@g...</td>\n",
       "      <td>https://www.gennep.nl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0907stembureaus20220316009</td>\n",
       "      <td>447c7742604345139e41def4cf1e4d3c</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (5.95118 51.72591)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9273</th>\n",
       "      <td>38748</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>8</td>\n",
       "      <td>De Uitkomst</td>\n",
       "      <td>bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>ja</td>\n",
       "      <td>Klantcontactcentrum gemeente Gennep gemeente@g...</td>\n",
       "      <td>https://www.gennep.nl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0907stembureaus20220316009</td>\n",
       "      <td>049cfd258c174bc49abf17883396d083</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (6.01556 51.70976)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9274</th>\n",
       "      <td>38749</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>1</td>\n",
       "      <td>Zaal Buurman</td>\n",
       "      <td>woonfunctie,bijeenkomstfunctie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Klantcontactcentrum gemeente Gennep gemeente@g...</td>\n",
       "      <td>https://www.gennep.nl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0907stembureaus20220316009</td>\n",
       "      <td>1e8cbe96e72c4c6ba6303f47bec8cdb5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (5.98514 51.70189)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8092 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        _id      Gemeente CBS gemeentecode  Nummer stembureau  \\\n",
       "0         1  Valkenswaard           GM0858                  1   \n",
       "1         2  Valkenswaard           GM0858                  2   \n",
       "2         3  Valkenswaard           GM0858                  3   \n",
       "3         4  Valkenswaard           GM0858                  4   \n",
       "4         5  Valkenswaard           GM0858                  5   \n",
       "...     ...           ...              ...                ...   \n",
       "9270  38745        Gennep           GM0907                  4   \n",
       "9271  38746        Gennep           GM0907                  5   \n",
       "9272  38747        Gennep           GM0907                  6   \n",
       "9273  38748        Gennep           GM0907                  8   \n",
       "9274  38749        Gennep           GM0907                  1   \n",
       "\n",
       "                        Naam stembureau     Gebruiksdoel van het gebouw  \\\n",
       "0                 Zorgcentrum Kempenhof          gezondheidszorgfunctie   \n",
       "1                Buurtgebouw De Horizon              bijeenkomstfunctie   \n",
       "2                   Speeltuin Geenhoven              bijeenkomstfunctie   \n",
       "3     Ontmoetingscentrum De zoete inval              bijeenkomstfunctie   \n",
       "4             Gymnastiekzaal 't Gegraaf                    sportfunctie   \n",
       "...                                 ...                             ...   \n",
       "9270                         Het Hökske              bijeenkomstfunctie   \n",
       "9271                   Buurthuis VanOns              bijeenkomstfunctie   \n",
       "9272                        't Trefpunt              bijeenkomstfunctie   \n",
       "9273                        De Uitkomst              bijeenkomstfunctie   \n",
       "9274                       Zaal Buurman  woonfunctie,bijeenkomstfunctie   \n",
       "\n",
       "                Website locatie Wijknaam  CBS wijknummer  Buurtnaam  ...  \\\n",
       "0     https://www.valkenhof.nl/      NaN             NaN        NaN  ...   \n",
       "1                           NaN      NaN             NaN        NaN  ...   \n",
       "2                           NaN      NaN             NaN        NaN  ...   \n",
       "3                           NaN      NaN             NaN        NaN  ...   \n",
       "4                           NaN      NaN             NaN        NaN  ...   \n",
       "...                         ...      ...             ...        ...  ...   \n",
       "9270                        NaN      NaN             NaN        NaN  ...   \n",
       "9271                        NaN      NaN             NaN        NaN  ...   \n",
       "9272                        NaN      NaN             NaN        NaN  ...   \n",
       "9273                        NaN      NaN             NaN        NaN  ...   \n",
       "9274                        NaN      NaN             NaN        NaN  ...   \n",
       "\n",
       "      Hoofdstembureau  Tellocatie  \\\n",
       "0        Valkenswaard         NaN   \n",
       "1        Valkenswaard         NaN   \n",
       "2        Valkenswaard         NaN   \n",
       "3        Valkenswaard         NaN   \n",
       "4        Valkenswaard         NaN   \n",
       "...               ...         ...   \n",
       "9270           Gennep          ja   \n",
       "9271           Gennep          ja   \n",
       "9272           Gennep          ja   \n",
       "9273           Gennep          ja   \n",
       "9274           Gennep         NaN   \n",
       "\n",
       "                               Contactgegevens gemeente  \\\n",
       "0                          verkiezingen@valkenswaard.nl   \n",
       "1                          verkiezingen@valkenswaard.nl   \n",
       "2                          verkiezingen@valkenswaard.nl   \n",
       "3                          verkiezingen@valkenswaard.nl   \n",
       "4                          verkiezingen@valkenswaard.nl   \n",
       "...                                                 ...   \n",
       "9270  Klantcontactcentrum gemeente Gennep gemeente@g...   \n",
       "9271  Klantcontactcentrum gemeente Gennep gemeente@g...   \n",
       "9272  Klantcontactcentrum gemeente Gennep gemeente@g...   \n",
       "9273  Klantcontactcentrum gemeente Gennep gemeente@g...   \n",
       "9274  Klantcontactcentrum gemeente Gennep gemeente@g...   \n",
       "\n",
       "                  Verkiezingswebsite gemeente Verkiezingen  \\\n",
       "0     http://www.valkenswaard.nl/verkiezingen          NaN   \n",
       "1     http://www.valkenswaard.nl/verkiezingen          NaN   \n",
       "2     http://www.valkenswaard.nl/verkiezingen          NaN   \n",
       "3     http://www.valkenswaard.nl/verkiezingen          NaN   \n",
       "4     http://www.valkenswaard.nl/verkiezingen          NaN   \n",
       "...                                       ...          ...   \n",
       "9270                    https://www.gennep.nl          NaN   \n",
       "9271                    https://www.gennep.nl          NaN   \n",
       "9272                    https://www.gennep.nl          NaN   \n",
       "9273                    https://www.gennep.nl          NaN   \n",
       "9274                    https://www.gennep.nl          NaN   \n",
       "\n",
       "                                     ID                              UUID  \\\n",
       "0     NLODSGM0858stembureaus20220316009  3a612b2151fa4ab491b9e331355e6258   \n",
       "1     NLODSGM0858stembureaus20220316009  9a01d765af0a467ea37f08d92db114ba   \n",
       "2     NLODSGM0858stembureaus20220316009  fc5869d33fbc4b06be659149fa615f4c   \n",
       "3     NLODSGM0858stembureaus20220316009  4427cc0b39e040ba8f75c333f19d66f0   \n",
       "4     NLODSGM0858stembureaus20220316009  a893bb9add324ce29769f1c39afcc48d   \n",
       "...                                 ...                               ...   \n",
       "9270  NLODSGM0907stembureaus20220316009  f744546cd6894e5e9a4db4bbfd81b4ee   \n",
       "9271  NLODSGM0907stembureaus20220316009  1270081b1dc74cd7bea0f45973650408   \n",
       "9272  NLODSGM0907stembureaus20220316009  447c7742604345139e41def4cf1e4d3c   \n",
       "9273  NLODSGM0907stembureaus20220316009  049cfd258c174bc49abf17883396d083   \n",
       "9274  NLODSGM0907stembureaus20220316009  1e8cbe96e72c4c6ba6303f47bec8cdb5   \n",
       "\n",
       "     Unnamed: 39 Unnamed: 40                  geometry  \n",
       "0            NaN         NaN  POINT (5.45515 51.34711)  \n",
       "1            NaN         NaN  POINT (5.45137 51.34955)  \n",
       "2            NaN         NaN  POINT (5.44827 51.35702)  \n",
       "3            NaN         NaN  POINT (5.44871 51.36022)  \n",
       "4            NaN         NaN  POINT (5.45331 51.36514)  \n",
       "...          ...         ...                       ...  \n",
       "9270         NaN         NaN  POINT (5.98266 51.69726)  \n",
       "9271         NaN         NaN  POINT (5.98127 51.69000)  \n",
       "9272         NaN         NaN  POINT (5.95118 51.72591)  \n",
       "9273         NaN         NaN  POINT (6.01556 51.70976)  \n",
       "9274         NaN         NaN  POINT (5.98514 51.70189)  \n",
       "\n",
       "[8092 rows x 42 columns]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We only want to analyse stemlokalen so deduplicate the stembureaus based on their location's coordinates\n",
    "gdf_wims_dedupe = gdf_wims.drop_duplicates(subset=\"geometry\", keep=False)\n",
    "df_geojson_dedupe = df_geojson_clean.drop_duplicates(subset=\"geometry\", keep=False)\n",
    "gdf_wims_dedupe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Voor dit onderzoek zijn we enkel geïnteresseerd in de locaties van stembureaus, oftewel de stemlokalen. Hierboven hebben we de stembureaus uit de wims dataset gededupliceerd op basis van de coördinaten van hun locatie.\n",
    "\n",
    "Het aantal stembureaus: 9275\n",
    "\n",
    "Het aantal stemlokalen: 8089\n",
    "\n",
    "Er zijn dus 1186 stembureaus gevestigd op een locatie van minimaal één ander stembureau."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plots van alle stemlokalen op de kaart\n",
    "### Stemlokalen uit de wims dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "'box_aspect' and 'fig_aspect' must be positive",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb Cell 16'\u001b[0m in \u001b[0;36m<cell line: 3>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000015?line=0'>1</a>\u001b[0m fig, ax \u001b[39m=\u001b[39m plt\u001b[39m.\u001b[39msubplots(figsize \u001b[39m=\u001b[39m (\u001b[39m15\u001b[39m,\u001b[39m15\u001b[39m))\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000015?line=1'>2</a>\u001b[0m nl_map\u001b[39m.\u001b[39mto_crs(epsg\u001b[39m=\u001b[39m\u001b[39m4326\u001b[39m)\u001b[39m.\u001b[39mplot(ax\u001b[39m=\u001b[39max, color\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mlightgrey\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m----> <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000015?line=2'>3</a>\u001b[0m gdf_wims_dedupe\u001b[39m.\u001b[39;49mplot(ax\u001b[39m=\u001b[39;49max)\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py:950\u001b[0m, in \u001b[0;36mGeoplotAccessor.__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=947'>948</a>\u001b[0m kind \u001b[39m=\u001b[39m kwargs\u001b[39m.\u001b[39mpop(\u001b[39m\"\u001b[39m\u001b[39mkind\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mgeo\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=948'>949</a>\u001b[0m \u001b[39mif\u001b[39;00m kind \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mgeo\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[0;32m--> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=949'>950</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m plot_dataframe(data, \u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=950'>951</a>\u001b[0m \u001b[39mif\u001b[39;00m kind \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_pandas_kinds:\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=951'>952</a>\u001b[0m     \u001b[39m# Access pandas plots\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=952'>953</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m PlotAccessor(data)(kind\u001b[39m=\u001b[39mkind, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py:692\u001b[0m, in \u001b[0;36mplot_dataframe\u001b[0;34m(df, column, cmap, color, ax, cax, categorical, legend, scheme, k, vmin, vmax, markersize, figsize, legend_kwds, categories, classification_kwds, missing_kwds, aspect, **style_kwds)\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=688'>689</a>\u001b[0m     markersize \u001b[39m=\u001b[39m df[markersize]\u001b[39m.\u001b[39mvalues\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=690'>691</a>\u001b[0m \u001b[39mif\u001b[39;00m column \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m--> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=691'>692</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m plot_series(\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=692'>693</a>\u001b[0m         df\u001b[39m.\u001b[39;49mgeometry,\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=693'>694</a>\u001b[0m         cmap\u001b[39m=\u001b[39;49mcmap,\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=694'>695</a>\u001b[0m         color\u001b[39m=\u001b[39;49mcolor,\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=695'>696</a>\u001b[0m         ax\u001b[39m=\u001b[39;49max,\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=696'>697</a>\u001b[0m         figsize\u001b[39m=\u001b[39;49mfigsize,\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=697'>698</a>\u001b[0m         markersize\u001b[39m=\u001b[39;49mmarkersize,\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=698'>699</a>\u001b[0m         aspect\u001b[39m=\u001b[39;49maspect,\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=699'>700</a>\u001b[0m         \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mstyle_kwds,\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=700'>701</a>\u001b[0m     )\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=702'>703</a>\u001b[0m \u001b[39m# To accept pd.Series and np.arrays as column\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=703'>704</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(column, (np\u001b[39m.\u001b[39mndarray, pd\u001b[39m.\u001b[39mSeries)):\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py:470\u001b[0m, in \u001b[0;36mplot_series\u001b[0;34m(s, cmap, color, ax, figsize, aspect, **style_kwds)\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=464'>465</a>\u001b[0m     values_ \u001b[39m=\u001b[39m values[point_idx] \u001b[39mif\u001b[39;00m cmap \u001b[39melse\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=465'>466</a>\u001b[0m     _plot_point_collection(\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=466'>467</a>\u001b[0m         ax, points, values_, color\u001b[39m=\u001b[39mcolor, cmap\u001b[39m=\u001b[39mcmap, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mstyle_kwds\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=467'>468</a>\u001b[0m     )\n\u001b[0;32m--> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=469'>470</a>\u001b[0m plt\u001b[39m.\u001b[39;49mdraw()\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/plotting.py?line=470'>471</a>\u001b[0m \u001b[39mreturn\u001b[39;00m ax\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/pyplot.py:973\u001b[0m, in \u001b[0;36mdraw\u001b[0;34m()\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/pyplot.py?line=960'>961</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mdraw\u001b[39m():\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/pyplot.py?line=961'>962</a>\u001b[0m     \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/pyplot.py?line=962'>963</a>\u001b[0m \u001b[39m    Redraw the current figure.\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/pyplot.py?line=963'>964</a>\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/pyplot.py?line=970'>971</a>\u001b[0m \u001b[39m    the current figure.\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/pyplot.py?line=971'>972</a>\u001b[0m \u001b[39m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/pyplot.py?line=972'>973</a>\u001b[0m     gcf()\u001b[39m.\u001b[39;49mcanvas\u001b[39m.\u001b[39;49mdraw_idle()\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backend_bases.py:2060\u001b[0m, in \u001b[0;36mFigureCanvasBase.draw_idle\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backend_bases.py?line=2057'>2058</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_is_idle_drawing:\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backend_bases.py?line=2058'>2059</a>\u001b[0m     \u001b[39mwith\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_idle_draw_cntx():\n\u001b[0;32m-> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backend_bases.py?line=2059'>2060</a>\u001b[0m         \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mdraw(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backends/backend_agg.py:436\u001b[0m, in \u001b[0;36mFigureCanvasAgg.draw\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backends/backend_agg.py?line=431'>432</a>\u001b[0m \u001b[39m# Acquire a lock on the shared font cache.\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backends/backend_agg.py?line=432'>433</a>\u001b[0m \u001b[39mwith\u001b[39;00m RendererAgg\u001b[39m.\u001b[39mlock, \\\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backends/backend_agg.py?line=433'>434</a>\u001b[0m      (\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtoolbar\u001b[39m.\u001b[39m_wait_cursor_for_draw_cm() \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtoolbar\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backends/backend_agg.py?line=434'>435</a>\u001b[0m       \u001b[39melse\u001b[39;00m nullcontext()):\n\u001b[0;32m--> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backends/backend_agg.py?line=435'>436</a>\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mfigure\u001b[39m.\u001b[39;49mdraw(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mrenderer)\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backends/backend_agg.py?line=436'>437</a>\u001b[0m     \u001b[39m# A GUI class may be need to update a window using this draw, so\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backends/backend_agg.py?line=437'>438</a>\u001b[0m     \u001b[39m# don't forget to call the superclass.\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backends/backend_agg.py?line=438'>439</a>\u001b[0m     \u001b[39msuper\u001b[39m()\u001b[39m.\u001b[39mdraw()\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py:73\u001b[0m, in \u001b[0;36m_finalize_rasterization.<locals>.draw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=70'>71</a>\u001b[0m \u001b[39m@wraps\u001b[39m(draw)\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=71'>72</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mdraw_wrapper\u001b[39m(artist, renderer, \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs):\n\u001b[0;32m---> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=72'>73</a>\u001b[0m     result \u001b[39m=\u001b[39m draw(artist, renderer, \u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=73'>74</a>\u001b[0m     \u001b[39mif\u001b[39;00m renderer\u001b[39m.\u001b[39m_rasterizing:\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=74'>75</a>\u001b[0m         renderer\u001b[39m.\u001b[39mstop_rasterizing()\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py:50\u001b[0m, in \u001b[0;36mallow_rasterization.<locals>.draw_wrapper\u001b[0;34m(artist, renderer)\u001b[0m\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=46'>47</a>\u001b[0m     \u001b[39mif\u001b[39;00m artist\u001b[39m.\u001b[39mget_agg_filter() \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=47'>48</a>\u001b[0m         renderer\u001b[39m.\u001b[39mstart_filter()\n\u001b[0;32m---> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=49'>50</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m draw(artist, renderer)\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=50'>51</a>\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=51'>52</a>\u001b[0m     \u001b[39mif\u001b[39;00m artist\u001b[39m.\u001b[39mget_agg_filter() \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py:2823\u001b[0m, in \u001b[0;36mFigure.draw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=2819'>2820</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_visible():\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=2820'>2821</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m\n\u001b[0;32m-> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=2822'>2823</a>\u001b[0m artists \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_get_draw_artists(renderer)\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=2824'>2825</a>\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=2825'>2826</a>\u001b[0m     renderer\u001b[39m.\u001b[39mopen_group(\u001b[39m'\u001b[39m\u001b[39mfigure\u001b[39m\u001b[39m'\u001b[39m, gid\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_gid())\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py:238\u001b[0m, in \u001b[0;36mFigureBase._get_draw_artists\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=235'>236</a>\u001b[0m     ax\u001b[39m.\u001b[39mapply_aspect(pos)\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=236'>237</a>\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m--> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=237'>238</a>\u001b[0m     ax\u001b[39m.\u001b[39;49mapply_aspect()\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=239'>240</a>\u001b[0m \u001b[39mfor\u001b[39;00m child \u001b[39min\u001b[39;00m ax\u001b[39m.\u001b[39mget_children():\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=240'>241</a>\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mhasattr\u001b[39m(child, \u001b[39m'\u001b[39m\u001b[39mapply_aspect\u001b[39m\u001b[39m'\u001b[39m):\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/axes/_base.py:1895\u001b[0m, in \u001b[0;36m_AxesBase.apply_aspect\u001b[0;34m(self, position)\u001b[0m\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/axes/_base.py?line=1892'>1893</a>\u001b[0m box_aspect \u001b[39m=\u001b[39m aspect \u001b[39m*\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_data_ratio()\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/axes/_base.py?line=1893'>1894</a>\u001b[0m pb \u001b[39m=\u001b[39m position\u001b[39m.\u001b[39mfrozen()\n\u001b[0;32m-> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/axes/_base.py?line=1894'>1895</a>\u001b[0m pb1 \u001b[39m=\u001b[39m pb\u001b[39m.\u001b[39;49mshrunk_to_aspect(box_aspect, pb, fig_aspect)\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/axes/_base.py?line=1895'>1896</a>\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_set_position(pb1\u001b[39m.\u001b[39manchored(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_anchor(), pb), \u001b[39m'\u001b[39m\u001b[39mactive\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/axes/_base.py?line=1896'>1897</a>\u001b[0m \u001b[39mreturn\u001b[39;00m\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py:558\u001b[0m, in \u001b[0;36mBboxBase.shrunk_to_aspect\u001b[0;34m(self, box_aspect, container, fig_aspect)\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=547'>548</a>\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=548'>549</a>\u001b[0m \u001b[39mReturn a copy of the `Bbox`, shrunk so that it is as\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=549'>550</a>\u001b[0m \u001b[39mlarge as it can be while having the desired aspect ratio,\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=554'>555</a>\u001b[0m \u001b[39mratio of the absolute dimensions, not the relative dimensions.\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=555'>556</a>\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=556'>557</a>\u001b[0m \u001b[39mif\u001b[39;00m box_aspect \u001b[39m<\u001b[39m\u001b[39m=\u001b[39m \u001b[39m0\u001b[39m \u001b[39mor\u001b[39;00m fig_aspect \u001b[39m<\u001b[39m\u001b[39m=\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[0;32m--> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=557'>558</a>\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39m'\u001b[39m\u001b[39mbox_aspect\u001b[39m\u001b[39m'\u001b[39m\u001b[39m and \u001b[39m\u001b[39m'\u001b[39m\u001b[39mfig_aspect\u001b[39m\u001b[39m'\u001b[39m\u001b[39m must be positive\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=558'>559</a>\u001b[0m \u001b[39mif\u001b[39;00m container \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=559'>560</a>\u001b[0m     container \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\n",
      "\u001b[0;31mValueError\u001b[0m: 'box_aspect' and 'fig_aspect' must be positive"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "'box_aspect' and 'fig_aspect' must be positive",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/IPython/core/formatters.py:339\u001b[0m, in \u001b[0;36mBaseFormatter.__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/IPython/core/formatters.py?line=336'>337</a>\u001b[0m     \u001b[39mpass\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/IPython/core/formatters.py?line=337'>338</a>\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m--> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/IPython/core/formatters.py?line=338'>339</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m printer(obj)\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/IPython/core/formatters.py?line=339'>340</a>\u001b[0m \u001b[39m# Finally look for special method names\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/IPython/core/formatters.py?line=340'>341</a>\u001b[0m method \u001b[39m=\u001b[39m get_real_method(obj, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprint_method)\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/IPython/core/pylabtools.py:151\u001b[0m, in \u001b[0;36mprint_figure\u001b[0;34m(fig, fmt, bbox_inches, base64, **kwargs)\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/IPython/core/pylabtools.py?line=147'>148</a>\u001b[0m     \u001b[39mfrom\u001b[39;00m \u001b[39mmatplotlib\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mbackend_bases\u001b[39;00m \u001b[39mimport\u001b[39;00m FigureCanvasBase\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/IPython/core/pylabtools.py?line=148'>149</a>\u001b[0m     FigureCanvasBase(fig)\n\u001b[0;32m--> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/IPython/core/pylabtools.py?line=150'>151</a>\u001b[0m fig\u001b[39m.\u001b[39;49mcanvas\u001b[39m.\u001b[39;49mprint_figure(bytes_io, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkw)\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/IPython/core/pylabtools.py?line=151'>152</a>\u001b[0m data \u001b[39m=\u001b[39m bytes_io\u001b[39m.\u001b[39mgetvalue()\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/IPython/core/pylabtools.py?line=152'>153</a>\u001b[0m \u001b[39mif\u001b[39;00m fmt \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39msvg\u001b[39m\u001b[39m'\u001b[39m:\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backend_bases.py:2295\u001b[0m, in \u001b[0;36mFigureCanvasBase.print_figure\u001b[0;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[0m\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backend_bases.py?line=2288'>2289</a>\u001b[0m     renderer \u001b[39m=\u001b[39m _get_renderer(\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backend_bases.py?line=2289'>2290</a>\u001b[0m         \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfigure,\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backend_bases.py?line=2290'>2291</a>\u001b[0m         functools\u001b[39m.\u001b[39mpartial(\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backend_bases.py?line=2291'>2292</a>\u001b[0m             print_method, orientation\u001b[39m=\u001b[39morientation)\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backend_bases.py?line=2292'>2293</a>\u001b[0m     )\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backend_bases.py?line=2293'>2294</a>\u001b[0m     \u001b[39mwith\u001b[39;00m \u001b[39mgetattr\u001b[39m(renderer, \u001b[39m\"\u001b[39m\u001b[39m_draw_disabled\u001b[39m\u001b[39m\"\u001b[39m, nullcontext)():\n\u001b[0;32m-> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backend_bases.py?line=2294'>2295</a>\u001b[0m         \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mfigure\u001b[39m.\u001b[39;49mdraw(renderer)\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backend_bases.py?line=2296'>2297</a>\u001b[0m \u001b[39mif\u001b[39;00m bbox_inches:\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/backend_bases.py?line=2297'>2298</a>\u001b[0m     \u001b[39mif\u001b[39;00m bbox_inches \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mtight\u001b[39m\u001b[39m\"\u001b[39m:\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py:73\u001b[0m, in \u001b[0;36m_finalize_rasterization.<locals>.draw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=70'>71</a>\u001b[0m \u001b[39m@wraps\u001b[39m(draw)\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=71'>72</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mdraw_wrapper\u001b[39m(artist, renderer, \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs):\n\u001b[0;32m---> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=72'>73</a>\u001b[0m     result \u001b[39m=\u001b[39m draw(artist, renderer, \u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=73'>74</a>\u001b[0m     \u001b[39mif\u001b[39;00m renderer\u001b[39m.\u001b[39m_rasterizing:\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=74'>75</a>\u001b[0m         renderer\u001b[39m.\u001b[39mstop_rasterizing()\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py:50\u001b[0m, in \u001b[0;36mallow_rasterization.<locals>.draw_wrapper\u001b[0;34m(artist, renderer)\u001b[0m\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=46'>47</a>\u001b[0m     \u001b[39mif\u001b[39;00m artist\u001b[39m.\u001b[39mget_agg_filter() \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=47'>48</a>\u001b[0m         renderer\u001b[39m.\u001b[39mstart_filter()\n\u001b[0;32m---> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=49'>50</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m draw(artist, renderer)\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=50'>51</a>\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m     <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/artist.py?line=51'>52</a>\u001b[0m     \u001b[39mif\u001b[39;00m artist\u001b[39m.\u001b[39mget_agg_filter() \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py:2823\u001b[0m, in \u001b[0;36mFigure.draw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=2819'>2820</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_visible():\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=2820'>2821</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m\n\u001b[0;32m-> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=2822'>2823</a>\u001b[0m artists \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_get_draw_artists(renderer)\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=2824'>2825</a>\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=2825'>2826</a>\u001b[0m     renderer\u001b[39m.\u001b[39mopen_group(\u001b[39m'\u001b[39m\u001b[39mfigure\u001b[39m\u001b[39m'\u001b[39m, gid\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_gid())\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py:238\u001b[0m, in \u001b[0;36mFigureBase._get_draw_artists\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=235'>236</a>\u001b[0m     ax\u001b[39m.\u001b[39mapply_aspect(pos)\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=236'>237</a>\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m--> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=237'>238</a>\u001b[0m     ax\u001b[39m.\u001b[39;49mapply_aspect()\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=239'>240</a>\u001b[0m \u001b[39mfor\u001b[39;00m child \u001b[39min\u001b[39;00m ax\u001b[39m.\u001b[39mget_children():\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/figure.py?line=240'>241</a>\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mhasattr\u001b[39m(child, \u001b[39m'\u001b[39m\u001b[39mapply_aspect\u001b[39m\u001b[39m'\u001b[39m):\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/axes/_base.py:1895\u001b[0m, in \u001b[0;36m_AxesBase.apply_aspect\u001b[0;34m(self, position)\u001b[0m\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/axes/_base.py?line=1892'>1893</a>\u001b[0m box_aspect \u001b[39m=\u001b[39m aspect \u001b[39m*\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_data_ratio()\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/axes/_base.py?line=1893'>1894</a>\u001b[0m pb \u001b[39m=\u001b[39m position\u001b[39m.\u001b[39mfrozen()\n\u001b[0;32m-> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/axes/_base.py?line=1894'>1895</a>\u001b[0m pb1 \u001b[39m=\u001b[39m pb\u001b[39m.\u001b[39;49mshrunk_to_aspect(box_aspect, pb, fig_aspect)\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/axes/_base.py?line=1895'>1896</a>\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_set_position(pb1\u001b[39m.\u001b[39manchored(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_anchor(), pb), \u001b[39m'\u001b[39m\u001b[39mactive\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m   <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/axes/_base.py?line=1896'>1897</a>\u001b[0m \u001b[39mreturn\u001b[39;00m\n",
      "File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py:558\u001b[0m, in \u001b[0;36mBboxBase.shrunk_to_aspect\u001b[0;34m(self, box_aspect, container, fig_aspect)\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=547'>548</a>\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=548'>549</a>\u001b[0m \u001b[39mReturn a copy of the `Bbox`, shrunk so that it is as\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=549'>550</a>\u001b[0m \u001b[39mlarge as it can be while having the desired aspect ratio,\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=554'>555</a>\u001b[0m \u001b[39mratio of the absolute dimensions, not the relative dimensions.\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=555'>556</a>\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=556'>557</a>\u001b[0m \u001b[39mif\u001b[39;00m box_aspect \u001b[39m<\u001b[39m\u001b[39m=\u001b[39m \u001b[39m0\u001b[39m \u001b[39mor\u001b[39;00m fig_aspect \u001b[39m<\u001b[39m\u001b[39m=\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[0;32m--> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=557'>558</a>\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39m'\u001b[39m\u001b[39mbox_aspect\u001b[39m\u001b[39m'\u001b[39m\u001b[39m and \u001b[39m\u001b[39m'\u001b[39m\u001b[39mfig_aspect\u001b[39m\u001b[39m'\u001b[39m\u001b[39m must be positive\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=558'>559</a>\u001b[0m \u001b[39mif\u001b[39;00m container \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m    <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/matplotlib/transforms.py?line=559'>560</a>\u001b[0m     container \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\n",
      "\u001b[0;31mValueError\u001b[0m: 'box_aspect' and 'fig_aspect' must be positive"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4cfb2f2b70>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (15,15))\n",
    "nl_map.to_crs(epsg=4326).plot(ax=ax, color='lightgrey')\n",
    "gdf_wims_dedupe.plot(ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stemlokalen uit de OSF/VK GeoJSON dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (15,15))\n",
    "nl_map.to_crs(epsg=4326).plot(ax=ax, color='lightgrey')\n",
    "df_geojson_clean.plot(ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nu we een kaart van nederland met de stemlokalen erop hebben, kunnen we als eerste voorbeeld gaan kijken hoe dit zich verhoudt met de bevolkingsdichtheid. De kaart is opgehaald van het CBS, eerst gaan we kijken hoe de kaart er op zichzelf met dezelfde projectie uitziet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nl_map_cbs = gpd.read_file(r'../data/shape/Netherlands_shapefile/cbs_vk500_2021_v1.gpkg')\n",
    "nl_map_cbs.to_crs(epsg=4326).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Het verwerken van de 100m bij 100m vierkanten kaart duurde lang (langer dan een half uur) op de laptop, en is dus niet ideaal tenzij we dit niveau van detail écht nodig hebben. Er is namelijk nog een andere kaart met dezelfde gegevens beschikbaar, maar met een grid van 500 bij 500 meter in plaats van 100 bij 100. Laten we dus kijken hoe vaak een stemlokaal dichterbij dan 100 meter van de dichtstbijzijnde andere is. De makkelijkste manier om dat te doen zonder alle punten met alle andere te vergelijken (wat lang duurt), is een extra dataframe maken als een kopie, alle indexen 1 opschuiven (want alle stemlokalen zijn al in een volgorde van clustering), en dan de laagste afstand bekijken."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12595      0.000000\n",
      "7470       0.000000\n",
      "1263       0.000000\n",
      "7578       0.000000\n",
      "7580       0.000000\n",
      "            ...    \n",
      "2235     499.159730\n",
      "6809     499.369706\n",
      "4749     499.451620\n",
      "7965     499.453972\n",
      "0               NaN\n",
      "Name: distance, Length: 2357, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# Use Rijksdriehoekscoördinaten (EPSG:28992) as this uses meters as unit so we can calculate the distance in meters\n",
    "df_shifted = df_geojson_clean.to_crs('EPSG:28992')\n",
    "\n",
    "df_shifted['geometry (shifted)'] = df_shifted['geometry'].shift(periods=1)\n",
    "df_shifted['distance'] = df_shifted['geometry'].distance(df_shifted['geometry (shifted)'])\n",
    "df_shifted.sort_values(['distance'], inplace=True, ascending=True)\n",
    "zero_mask_booth = df_shifted['distance'] == 0.000000\n",
    "df_shifted = df_shifted[~zero_mask_booth]\n",
    "print(df_shifted['distance'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Los van bovenstaande resultaten blijkt het dat de 100m kaart niet dezelfde inwonersgegevens heeft als de 500m kaart. Deze hebben we echter nodig voor de analyse, dus we gaan verder met de 500 bij 500 meter kaart. Laten we nu een projectie proberen te maken met de bevolkingsdichtheid erop om het te vergelijken met de stemlokalen en hun posities en clustering."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['crs28992res500m', 'aantal_inwoners', 'aantal_mannen', 'aantal_vrouwen', 'aantal_inwoners_0_tot_15_jaar', 'aantal_inwoners_15_tot_25_jaar', 'aantal_inwoners_25_tot_45_jaar', 'aantal_inwoners_45_tot_65_jaar', 'aantal_inwoners_65_jaar_en_ouder', 'percentage_nederlandse_achtergrond', 'percentage_westerse_migr_achtergr', 'percentage_niet_westerse_migr_achtergr', 'aantal_personen_met_uitkering_onder_aowlft', 'aantal_part_huishoudens', 'aantal_eenpersoonshuishoudens', 'aantal_meerpersoonshuishoudens_zonder_kind', 'aantal_eenouderhuishoudens', 'aantal_tweeouderhuishoudens', 'gemiddelde_huishoudensgrootte', 'aantal_woningen', 'aantal_woningen_bouwjaar_voor_1945', 'aantal_woningen_bouwjaar_45_tot_65', 'aantal_woningen_bouwjaar_65_tot_75', 'aantal_woningen_bouwjaar_75_tot_85', 'aantal_woningen_bouwjaar_85_tot_95', 'aantal_woningen_bouwjaar_95_tot_05', 'aantal_woningen_bouwjaar_05_tot_15', 'aantal_woningen_bouwjaar_15_en_later', 'aantal_meergezins_woningen', 'percentage_koopwoningen', 'percentage_huurwoningen', 'aantal_huurwoningen_in_bezit_woningcorporaties', 'aantal_niet_bewoonde_woningen', 'gemiddelde_woz_waarde_woning', 'omgevingsadressendichtheid', 'stedelijkheid', 'geometry']\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>crs28992res500m</th>\n",
       "      <th>aantal_inwoners</th>\n",
       "      <th>stedelijkheid</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>E2260N6190</td>\n",
       "      <td>-99997</td>\n",
       "      <td>-99997</td>\n",
       "      <td>MULTIPOLYGON (((226000.000 619000.000, 226000....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>E2265N6190</td>\n",
       "      <td>-99997</td>\n",
       "      <td>-99997</td>\n",
       "      <td>MULTIPOLYGON (((226500.000 619500.000, 227000....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>E2270N6190</td>\n",
       "      <td>-99997</td>\n",
       "      <td>-99997</td>\n",
       "      <td>MULTIPOLYGON (((227000.000 619500.000, 227500....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>E2275N6190</td>\n",
       "      <td>-99997</td>\n",
       "      <td>-99997</td>\n",
       "      <td>MULTIPOLYGON (((227500.000 619500.000, 228000....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>E2280N6190</td>\n",
       "      <td>-99997</td>\n",
       "      <td>-99997</td>\n",
       "      <td>MULTIPOLYGON (((228000.000 619500.000, 228500....</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>151103</th>\n",
       "      <td>E1995N3070</td>\n",
       "      <td>-99997</td>\n",
       "      <td>5</td>\n",
       "      <td>MULTIPOLYGON (((199500.000 307500.000, 200000....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151104</th>\n",
       "      <td>E1905N3065</td>\n",
       "      <td>-99997</td>\n",
       "      <td>-99997</td>\n",
       "      <td>MULTIPOLYGON (((190500.000 307000.000, 191000....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151105</th>\n",
       "      <td>E1910N3065</td>\n",
       "      <td>-99997</td>\n",
       "      <td>-99997</td>\n",
       "      <td>MULTIPOLYGON (((191000.000 307000.000, 191500....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151106</th>\n",
       "      <td>E1920N3065</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>MULTIPOLYGON (((192000.000 307000.000, 192500....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151107</th>\n",
       "      <td>E1925N3065</td>\n",
       "      <td>-99997</td>\n",
       "      <td>5</td>\n",
       "      <td>MULTIPOLYGON (((192500.000 307000.000, 193000....</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>151108 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       crs28992res500m  aantal_inwoners  stedelijkheid  \\\n",
       "0           E2260N6190           -99997         -99997   \n",
       "1           E2265N6190           -99997         -99997   \n",
       "2           E2270N6190           -99997         -99997   \n",
       "3           E2275N6190           -99997         -99997   \n",
       "4           E2280N6190           -99997         -99997   \n",
       "...                ...              ...            ...   \n",
       "151103      E1995N3070           -99997              5   \n",
       "151104      E1905N3065           -99997         -99997   \n",
       "151105      E1910N3065           -99997         -99997   \n",
       "151106      E1920N3065               15              5   \n",
       "151107      E1925N3065           -99997              5   \n",
       "\n",
       "                                                 geometry  \n",
       "0       MULTIPOLYGON (((226000.000 619000.000, 226000....  \n",
       "1       MULTIPOLYGON (((226500.000 619500.000, 227000....  \n",
       "2       MULTIPOLYGON (((227000.000 619500.000, 227500....  \n",
       "3       MULTIPOLYGON (((227500.000 619500.000, 228000....  \n",
       "4       MULTIPOLYGON (((228000.000 619500.000, 228500....  \n",
       "...                                                   ...  \n",
       "151103  MULTIPOLYGON (((199500.000 307500.000, 200000....  \n",
       "151104  MULTIPOLYGON (((190500.000 307000.000, 191000....  \n",
       "151105  MULTIPOLYGON (((191000.000 307000.000, 191500....  \n",
       "151106  MULTIPOLYGON (((192000.000 307000.000, 192500....  \n",
       "151107  MULTIPOLYGON (((192500.000 307000.000, 193000....  \n",
       "\n",
       "[151108 rows x 4 columns]"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(list(nl_map_cbs))\n",
    "nl_map_dst = nl_map_cbs.drop(columns=['aantal_mannen', 'aantal_vrouwen', 'aantal_inwoners_0_tot_15_jaar', 'aantal_inwoners_15_tot_25_jaar', 'aantal_inwoners_25_tot_45_jaar', 'aantal_inwoners_45_tot_65_jaar', 'aantal_inwoners_65_jaar_en_ouder', 'percentage_nederlandse_achtergrond', 'percentage_westerse_migr_achtergr', 'percentage_niet_westerse_migr_achtergr', 'aantal_personen_met_uitkering_onder_aowlft', 'aantal_part_huishoudens', 'aantal_eenpersoonshuishoudens', 'aantal_meerpersoonshuishoudens_zonder_kind', 'aantal_eenouderhuishoudens', 'aantal_tweeouderhuishoudens', 'gemiddelde_huishoudensgrootte', 'aantal_woningen', 'aantal_woningen_bouwjaar_voor_1945', 'aantal_woningen_bouwjaar_45_tot_65', 'aantal_woningen_bouwjaar_65_tot_75', 'aantal_woningen_bouwjaar_75_tot_85', 'aantal_woningen_bouwjaar_85_tot_95', 'aantal_woningen_bouwjaar_95_tot_05', 'aantal_woningen_bouwjaar_05_tot_15', 'aantal_woningen_bouwjaar_15_en_later', 'aantal_meergezins_woningen', 'percentage_koopwoningen', 'percentage_huurwoningen', 'aantal_huurwoningen_in_bezit_woningcorporaties', 'aantal_niet_bewoonde_woningen', 'gemiddelde_woz_waarde_woning', 'omgevingsadressendichtheid'])\n",
    "\n",
    "nl_map_dst"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We kunnen zien dat er gemeente zijn die geen stemlokalen hebben, dit klopt. [In de verkiezingen van 2022 hebben 12 gemeentes niet meegedaan](https://nl.wikipedia.org/wiki/Nederlandse_gemeenteraadsverkiezingen_2022). Er zijn dus in totaal 333 gemeentes met stemlokalen. We willen de bevolkingsdichtheiddata van de gemeentes die niet meededen dus weggooien, hiervoor moeten we eerst kijken welke alleen binnen de gemeentes vallen die we niet willen houden."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0             Gemeenteraad Aa en Hunze 2022\n",
      "1             Gemeenteraad Aa en Hunze 2022\n",
      "2             Gemeenteraad Aa en Hunze 2022\n",
      "3             Gemeenteraad Aa en Hunze 2022\n",
      "4             Gemeenteraad Aa en Hunze 2022\n",
      "                        ...                \n",
      "12591    Gemeenteraad 's-Hertogenbosch 2022\n",
      "12592    Gemeenteraad 's-Hertogenbosch 2022\n",
      "12593    Gemeenteraad 's-Hertogenbosch 2022\n",
      "12594    Gemeenteraad 's-Hertogenbosch 2022\n",
      "12595    Gemeenteraad 's-Hertogenbosch 2022\n",
      "Name: electionName, Length: 12596, dtype: object\n",
      "0             Aa en Hunze\n",
      "27               Aalsmeer\n",
      "46                 Aalten\n",
      "74          Achtkarspelen\n",
      "95           Alblasserdam\n",
      "               ...       \n",
      "11976     Zwartewaterland\n",
      "11997         Zwijndrecht\n",
      "12031              Zwolle\n",
      "12122       's-Gravenhage\n",
      "12495    's-Hertogenbosch\n",
      "Name: electionName, Length: 333, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(df_geojson['electionName'])\n",
    "\n",
    "#get all municipalities that are in the election\n",
    "gemeentes = df_geojson['electionName'].str.slice(13, -5).drop_duplicates()\n",
    "print(gemeentes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of clean: (333, 38)\n",
      "Shape of election: (330, 38)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\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>GM_CODE</th>\n",
       "      <th>GM_NAAM</th>\n",
       "      <th>H2O</th>\n",
       "      <th>OAD</th>\n",
       "      <th>STED</th>\n",
       "      <th>BEV_DICHTH</th>\n",
       "      <th>AANT_INW</th>\n",
       "      <th>AANT_MAN</th>\n",
       "      <th>AANT_VROUW</th>\n",
       "      <th>P_00_14_JR</th>\n",
       "      <th>...</th>\n",
       "      <th>P_TURKIJE</th>\n",
       "      <th>P_OVER_NW</th>\n",
       "      <th>OPP_TOT</th>\n",
       "      <th>OPP_LAND</th>\n",
       "      <th>OPP_WATER</th>\n",
       "      <th>JRSTATCODE</th>\n",
       "      <th>JAAR</th>\n",
       "      <th>Shape_Leng</th>\n",
       "      <th>Shape_Area</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>GM0164</td>\n",
       "      <td>Hengelo</td>\n",
       "      <td>NEE</td>\n",
       "      <td>1845</td>\n",
       "      <td>2</td>\n",
       "      <td>1332</td>\n",
       "      <td>81049</td>\n",
       "      <td>40776</td>\n",
       "      <td>40273</td>\n",
       "      <td>15</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>6183</td>\n",
       "      <td>6084</td>\n",
       "      <td>99</td>\n",
       "      <td>2021GM0164</td>\n",
       "      <td>2021</td>\n",
       "      <td>47510.255914</td>\n",
       "      <td>6.183056e+07</td>\n",
       "      <td>POLYGON ((251978.591 481220.258, 251979.382 48...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>GM0373</td>\n",
       "      <td>Bergen (NH.)</td>\n",
       "      <td>NEE</td>\n",
       "      <td>819</td>\n",
       "      <td>4</td>\n",
       "      <td>300</td>\n",
       "      <td>29715</td>\n",
       "      <td>14317</td>\n",
       "      <td>15398</td>\n",
       "      <td>12</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>12023</td>\n",
       "      <td>9896</td>\n",
       "      <td>2127</td>\n",
       "      <td>2021GM0373</td>\n",
       "      <td>2021</td>\n",
       "      <td>57488.474563</td>\n",
       "      <td>9.987418e+07</td>\n",
       "      <td>POLYGON ((105976.650 529056.951, 106002.347 52...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>GM0893</td>\n",
       "      <td>Bergen (L.)</td>\n",
       "      <td>NEE</td>\n",
       "      <td>318</td>\n",
       "      <td>5</td>\n",
       "      <td>127</td>\n",
       "      <td>13108</td>\n",
       "      <td>6568</td>\n",
       "      <td>6540</td>\n",
       "      <td>13</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>10850</td>\n",
       "      <td>10324</td>\n",
       "      <td>525</td>\n",
       "      <td>2021GM0893</td>\n",
       "      <td>2021</td>\n",
       "      <td>61497.563571</td>\n",
       "      <td>1.084951e+08</td>\n",
       "      <td>POLYGON ((199768.270 409749.960, 199758.060 40...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    GM_CODE       GM_NAAM  H2O   OAD  STED  BEV_DICHTH  AANT_INW  AANT_MAN  \\\n",
       "113  GM0164       Hengelo  NEE  1845     2        1332     81049     40776   \n",
       "191  GM0373  Bergen (NH.)  NEE   819     4         300     29715     14317   \n",
       "328  GM0893   Bergen (L.)  NEE   318     5         127     13108      6568   \n",
       "\n",
       "     AANT_VROUW  P_00_14_JR  ...  P_TURKIJE  P_OVER_NW  OPP_TOT  OPP_LAND  \\\n",
       "113       40273          15  ...          6          7     6183      6084   \n",
       "191       15398          12  ...          0          3    12023      9896   \n",
       "328        6540          13  ...          0          3    10850     10324   \n",
       "\n",
       "     OPP_WATER  JRSTATCODE  JAAR    Shape_Leng    Shape_Area  \\\n",
       "113         99  2021GM0164  2021  47510.255914  6.183056e+07   \n",
       "191       2127  2021GM0373  2021  57488.474563  9.987418e+07   \n",
       "328        525  2021GM0893  2021  61497.563571  1.084951e+08   \n",
       "\n",
       "                                              geometry  \n",
       "113  POLYGON ((251978.591 481220.258, 251979.382 48...  \n",
       "191  POLYGON ((105976.650 529056.951, 106002.347 52...  \n",
       "328  POLYGON ((199768.270 409749.960, 199758.060 40...  \n",
       "\n",
       "[3 rows x 38 columns]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#First let's remove the municipalities that don't have an Election from the municipality map\n",
    "remove_lst = [\"Boxtel\", \"Eemsdelta\", \"Oisterwijk\", \"Vught\", \"Heerhugowaard\", \"Langedijk\", \"Boxmeer\", \"Cuijk\", \"Sint Anthonis\", \"Mill en Sint Hubert\", \"Grave\", \"Landerd\", \"Uden\", \"Brielle\", \"Hellevoetsluis\", \"Westvoorne\", \"Purmerend\", \"Beemster\", \"Weesp\"]\n",
    "\n",
    "\n",
    "nl_map_clean = nl_map[~nl_map[\"GM_NAAM\"].isin(remove_lst)]\n",
    "nl_map_clean = nl_map_clean.query(\"H2O != 'JA'\")\n",
    "nl_map_clean = nl_map_clean.query(\"GM_NAAM != 'Buitenland'\")\n",
    "\n",
    "\n",
    "nl_map_election = nl_map[nl_map[\"GM_NAAM\"].isin(gemeentes)]\n",
    "nl_map_election = nl_map_election.query(\"H2O != 'JA'\")\n",
    "\n",
    "print(\"Shape of clean: {}\".format(nl_map_clean.shape))\n",
    "print(\"Shape of election: {}\".format(nl_map_election.shape))\n",
    "\n",
    "diff = pd.concat([nl_map_election, nl_map_clean]).drop_duplicates(keep=False)\n",
    "diff"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Het is een andere vorm omdat deze drie gemeentes een andere format hadden voor de naam van hun verkiezingen, en dus niet op dezelfde manier gefilterd konden worden, ze staan wel in de lijst, dit is dus correct, we gebruiken de clean dataframe.\n",
    "Nu we dezelfde lijst hebben van gemeentes die in de verkiezingen meededen kunnen we verder."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (15,15))\n",
    "nl_map_clean.to_crs(epsg=4326).plot(ax=ax, color='lightgrey')\n",
    "df_geojson_clean.plot(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nl_map_dst['savedindex'] = nl_map_dst.index #Save the index values as a new column\n",
    "\n",
    "intersecting = nl_map_clean.sjoin(nl_map_dst, how='inner')['savedindex'] #Find the polygons that intersect. Keep savedindex as a series\n",
    "\n",
    "nl_map_dst = nl_map_dst.loc[nl_map_dst.savedindex.isin(intersecting)] #Filter away these, \"savedindex is in intersecting\"\n",
    "\n",
    "nl_map_dst.to_crs(epsg=4326).plot()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: 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",
      "  super().__setitem__(key, value)\n"
     ]
    }
   ],
   "source": [
    "import folium\n",
    "from folium import plugins\n",
    "\n",
    "#Location is Amersfoort, the central point of the continental Netherlands\n",
    "map = folium.Map(location = [52.155, 5.3875], zoom_start = 9, tiles=\"cartodbdark_matter\", prefer_canvas=True)\n",
    "\n",
    "nl_map_dst.to_crs(epsg=4326)\n",
    "#Make sure the index is a string so folium can read it correctly as a key.\n",
    "nl_map_dst['crs28992res500m'] = nl_map_dst['crs28992res500m'].apply(lambda x: str(x))\n",
    "\n",
    "nl_map_dst_zero = nl_map_dst.copy()\n",
    "\n",
    "zero_mask_pop = nl_map_dst['aantal_inwoners'] == -99997\n",
    "nl_map_dst = nl_map_dst[~zero_mask_pop]\n",
    "zero_mask_pop2 = nl_map_dst['aantal_inwoners'] == 0\n",
    "nl_map_dst = nl_map_dst[~zero_mask_pop2]\n",
    "\n",
    "folium.Choropleth(\n",
    "    geo_data = nl_map_dst,\n",
    "    name=\"Bevolkingsdichtheid\",\n",
    "    data = nl_map_dst,\n",
    "    columns = [\"crs28992res500m\", \"aantal_inwoners\"],\n",
    "    key_on = 'feature.properties.crs28992res500m',\n",
    "    fill_color = 'RdPu',\n",
    "    nan_fill_color= 'white',\n",
    "    fill_opacity = 0.7,\n",
    "    nan_fill_opacity = 0.7,\n",
    "    line_opacity = 0,\n",
    "    legend_name = 'Bevolkingsdichtheid',\n",
    "    smooth_factor = 1.0,\n",
    "    show=False\n",
    ").add_to(map)\n",
    "map\n",
    "\n",
    "# Renders the map to an HTML file and displays it in an embed.\n",
    "def embed_map(m):\n",
    "    #from IPython.display import IFrame\n",
    "    m.save('index.html')\n",
    "    #return IFrame('index.html', width='100%', height='750px')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf_wims_hmp = [[point.xy[1][0], point.xy[0][0]] for point in gdf_wims.geometry]\n",
    "\n",
    "plugins.HeatMap(gdf_wims_hmp, name=\"Stemlokalen Heatmap\").add_to(map)\n",
    "\n",
    "folium.LayerControl().add_to(map)\n",
    "\n",
    "\n",
    "\n",
    "embed_map(map)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>crs28992res500m</th>\n",
       "      <th>aantal_inwoners</th>\n",
       "      <th>stedelijkheid</th>\n",
       "      <th>geometry</th>\n",
       "      <th>savedindex</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>E2270N6190</td>\n",
       "      <td>-99997</td>\n",
       "      <td>-99997</td>\n",
       "      <td>POINT (227250.000 619250.000)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>E2275N6190</td>\n",
       "      <td>-99997</td>\n",
       "      <td>-99997</td>\n",
       "      <td>POINT (227750.000 619250.000)</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>E2280N6190</td>\n",
       "      <td>-99997</td>\n",
       "      <td>-99997</td>\n",
       "      <td>POINT (228250.000 619250.000)</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>E2265N6185</td>\n",
       "      <td>-99997</td>\n",
       "      <td>-99997</td>\n",
       "      <td>POINT (226750.000 618750.000)</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>E2270N6185</td>\n",
       "      <td>-99997</td>\n",
       "      <td>-99997</td>\n",
       "      <td>POINT (227250.000 618750.000)</td>\n",
       "      <td>8</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>151102</th>\n",
       "      <td>E1990N3070</td>\n",
       "      <td>-99997</td>\n",
       "      <td>-99997</td>\n",
       "      <td>POINT (199250.000 307250.000)</td>\n",
       "      <td>151102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151103</th>\n",
       "      <td>E1995N3070</td>\n",
       "      <td>-99997</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (199750.000 307250.000)</td>\n",
       "      <td>151103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151105</th>\n",
       "      <td>E1910N3065</td>\n",
       "      <td>-99997</td>\n",
       "      <td>-99997</td>\n",
       "      <td>POINT (191250.000 306750.000)</td>\n",
       "      <td>151105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151106</th>\n",
       "      <td>E1920N3065</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (192250.000 306750.000)</td>\n",
       "      <td>151106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151107</th>\n",
       "      <td>E1925N3065</td>\n",
       "      <td>-99997</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (192750.000 306750.000)</td>\n",
       "      <td>151107</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>140002 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       crs28992res500m  aantal_inwoners  stedelijkheid  \\\n",
       "2           E2270N6190           -99997         -99997   \n",
       "3           E2275N6190           -99997         -99997   \n",
       "4           E2280N6190           -99997         -99997   \n",
       "7           E2265N6185           -99997         -99997   \n",
       "8           E2270N6185           -99997         -99997   \n",
       "...                ...              ...            ...   \n",
       "151102      E1990N3070           -99997         -99997   \n",
       "151103      E1995N3070           -99997              5   \n",
       "151105      E1910N3065           -99997         -99997   \n",
       "151106      E1920N3065               15              5   \n",
       "151107      E1925N3065           -99997              5   \n",
       "\n",
       "                             geometry  savedindex  \n",
       "2       POINT (227250.000 619250.000)           2  \n",
       "3       POINT (227750.000 619250.000)           3  \n",
       "4       POINT (228250.000 619250.000)           4  \n",
       "7       POINT (226750.000 618750.000)           7  \n",
       "8       POINT (227250.000 618750.000)           8  \n",
       "...                               ...         ...  \n",
       "151102  POINT (199250.000 307250.000)      151102  \n",
       "151103  POINT (199750.000 307250.000)      151103  \n",
       "151105  POINT (191250.000 306750.000)      151105  \n",
       "151106  POINT (192250.000 306750.000)      151106  \n",
       "151107  POINT (192750.000 306750.000)      151107  \n",
       "\n",
       "[140002 rows x 5 columns]"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nl_map_dst_points = nl_map_dst.copy()\n",
    "nl_map_dst_points['geometry'] = nl_map_dst_points['geometry'].centroid\n",
    "\n",
    "nl_map_dst_zero_points = nl_map_dst_zero.copy()\n",
    "nl_map_dst_zero_points['geometry'] = nl_map_dst_zero_points['geometry'].centroid\n",
    "\n",
    "nl_map_dst_zero_points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>crs28992res500m</th>\n",
       "      <th>aantal_inwoners</th>\n",
       "      <th>stedelijkheid</th>\n",
       "      <th>geometry</th>\n",
       "      <th>savedindex</th>\n",
       "      <th>_id</th>\n",
       "      <th>Gemeente</th>\n",
       "      <th>CBS gemeentecode</th>\n",
       "      <th>Nummer stembureau</th>\n",
       "      <th>Naam stembureau</th>\n",
       "      <th>...</th>\n",
       "      <th>Hoofdstembureau</th>\n",
       "      <th>Tellocatie</th>\n",
       "      <th>Contactgegevens gemeente</th>\n",
       "      <th>Verkiezingswebsite gemeente</th>\n",
       "      <th>Verkiezingen</th>\n",
       "      <th>ID</th>\n",
       "      <th>UUID</th>\n",
       "      <th>Unnamed: 39</th>\n",
       "      <th>Unnamed: 40</th>\n",
       "      <th>dist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>E2050N6110</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (205250.000 611250.000)</td>\n",
       "      <td>267</td>\n",
       "      <td>30871</td>\n",
       "      <td>Schiermonnikoog</td>\n",
       "      <td>GM0088</td>\n",
       "      <td>1</td>\n",
       "      <td>Gemeentehuis (Raadzaal)</td>\n",
       "      <td>...</td>\n",
       "      <td>Schiermonnikoog</td>\n",
       "      <td>NaN</td>\n",
       "      <td>postbus20@schiermonnikoog.nl, 0519-535050</td>\n",
       "      <td>https://www.schiermonnikoog.nl/in-de-gemeente/...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0088stembureaus20220316009</td>\n",
       "      <td>35abba36eca7485c89e82b2917633ae7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1331.950309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>E2060N6110</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (206250.000 611250.000)</td>\n",
       "      <td>269</td>\n",
       "      <td>30871</td>\n",
       "      <td>Schiermonnikoog</td>\n",
       "      <td>GM0088</td>\n",
       "      <td>1</td>\n",
       "      <td>Gemeentehuis (Raadzaal)</td>\n",
       "      <td>...</td>\n",
       "      <td>Schiermonnikoog</td>\n",
       "      <td>NaN</td>\n",
       "      <td>postbus20@schiermonnikoog.nl, 0519-535050</td>\n",
       "      <td>https://www.schiermonnikoog.nl/in-de-gemeente/...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0088stembureaus20220316009</td>\n",
       "      <td>35abba36eca7485c89e82b2917633ae7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>688.536284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>E2055N6105</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (205750.000 610750.000)</td>\n",
       "      <td>292</td>\n",
       "      <td>30871</td>\n",
       "      <td>Schiermonnikoog</td>\n",
       "      <td>GM0088</td>\n",
       "      <td>1</td>\n",
       "      <td>Gemeentehuis (Raadzaal)</td>\n",
       "      <td>...</td>\n",
       "      <td>Schiermonnikoog</td>\n",
       "      <td>NaN</td>\n",
       "      <td>postbus20@schiermonnikoog.nl, 0519-535050</td>\n",
       "      <td>https://www.schiermonnikoog.nl/in-de-gemeente/...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0088stembureaus20220316009</td>\n",
       "      <td>35abba36eca7485c89e82b2917633ae7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>672.375861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>E2060N6105</td>\n",
       "      <td>185</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (206250.000 610750.000)</td>\n",
       "      <td>293</td>\n",
       "      <td>30871</td>\n",
       "      <td>Schiermonnikoog</td>\n",
       "      <td>GM0088</td>\n",
       "      <td>1</td>\n",
       "      <td>Gemeentehuis (Raadzaal)</td>\n",
       "      <td>...</td>\n",
       "      <td>Schiermonnikoog</td>\n",
       "      <td>NaN</td>\n",
       "      <td>postbus20@schiermonnikoog.nl, 0519-535050</td>\n",
       "      <td>https://www.schiermonnikoog.nl/in-de-gemeente/...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0088stembureaus20220316009</td>\n",
       "      <td>35abba36eca7485c89e82b2917633ae7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>228.220493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>E2065N6105</td>\n",
       "      <td>335</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (206750.000 610750.000)</td>\n",
       "      <td>294</td>\n",
       "      <td>30871</td>\n",
       "      <td>Schiermonnikoog</td>\n",
       "      <td>GM0088</td>\n",
       "      <td>1</td>\n",
       "      <td>Gemeentehuis (Raadzaal)</td>\n",
       "      <td>...</td>\n",
       "      <td>Schiermonnikoog</td>\n",
       "      <td>NaN</td>\n",
       "      <td>postbus20@schiermonnikoog.nl, 0519-535050</td>\n",
       "      <td>https://www.schiermonnikoog.nl/in-de-gemeente/...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0088stembureaus20220316009</td>\n",
       "      <td>35abba36eca7485c89e82b2917633ae7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>389.974214</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  crs28992res500m  aantal_inwoners  stedelijkheid  \\\n",
       "0      E2050N6110                5              5   \n",
       "1      E2060N6110               10              5   \n",
       "2      E2055N6105               20              5   \n",
       "3      E2060N6105              185              5   \n",
       "4      E2065N6105              335              5   \n",
       "\n",
       "                        geometry  savedindex    _id         Gemeente  \\\n",
       "0  POINT (205250.000 611250.000)         267  30871  Schiermonnikoog   \n",
       "1  POINT (206250.000 611250.000)         269  30871  Schiermonnikoog   \n",
       "2  POINT (205750.000 610750.000)         292  30871  Schiermonnikoog   \n",
       "3  POINT (206250.000 610750.000)         293  30871  Schiermonnikoog   \n",
       "4  POINT (206750.000 610750.000)         294  30871  Schiermonnikoog   \n",
       "\n",
       "  CBS gemeentecode  Nummer stembureau          Naam stembureau  ...  \\\n",
       "0           GM0088                  1  Gemeentehuis (Raadzaal)  ...   \n",
       "1           GM0088                  1  Gemeentehuis (Raadzaal)  ...   \n",
       "2           GM0088                  1  Gemeentehuis (Raadzaal)  ...   \n",
       "3           GM0088                  1  Gemeentehuis (Raadzaal)  ...   \n",
       "4           GM0088                  1  Gemeentehuis (Raadzaal)  ...   \n",
       "\n",
       "   Hoofdstembureau Tellocatie                   Contactgegevens gemeente  \\\n",
       "0  Schiermonnikoog        NaN  postbus20@schiermonnikoog.nl, 0519-535050   \n",
       "1  Schiermonnikoog        NaN  postbus20@schiermonnikoog.nl, 0519-535050   \n",
       "2  Schiermonnikoog        NaN  postbus20@schiermonnikoog.nl, 0519-535050   \n",
       "3  Schiermonnikoog        NaN  postbus20@schiermonnikoog.nl, 0519-535050   \n",
       "4  Schiermonnikoog        NaN  postbus20@schiermonnikoog.nl, 0519-535050   \n",
       "\n",
       "                         Verkiezingswebsite gemeente  Verkiezingen  \\\n",
       "0  https://www.schiermonnikoog.nl/in-de-gemeente/...           NaN   \n",
       "1  https://www.schiermonnikoog.nl/in-de-gemeente/...           NaN   \n",
       "2  https://www.schiermonnikoog.nl/in-de-gemeente/...           NaN   \n",
       "3  https://www.schiermonnikoog.nl/in-de-gemeente/...           NaN   \n",
       "4  https://www.schiermonnikoog.nl/in-de-gemeente/...           NaN   \n",
       "\n",
       "                                  ID                              UUID  \\\n",
       "0  NLODSGM0088stembureaus20220316009  35abba36eca7485c89e82b2917633ae7   \n",
       "1  NLODSGM0088stembureaus20220316009  35abba36eca7485c89e82b2917633ae7   \n",
       "2  NLODSGM0088stembureaus20220316009  35abba36eca7485c89e82b2917633ae7   \n",
       "3  NLODSGM0088stembureaus20220316009  35abba36eca7485c89e82b2917633ae7   \n",
       "4  NLODSGM0088stembureaus20220316009  35abba36eca7485c89e82b2917633ae7   \n",
       "\n",
       "  Unnamed: 39 Unnamed: 40         dist  \n",
       "0         NaN         NaN  1331.950309  \n",
       "1         NaN         NaN   688.536284  \n",
       "2         NaN         NaN   672.375861  \n",
       "3         NaN         NaN   228.220493  \n",
       "4         NaN         NaN   389.974214  \n",
       "\n",
       "[5 rows x 47 columns]"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "from scipy.spatial import cKDTree\n",
    "from shapely.geometry import Point\n",
    "#Found on https://gis.stackexchange.com/questions/222315/finding-nearest-point-in-other-geodataframe-using-geopandas\n",
    "def ckdnearest(gdA, gdB):\n",
    "\n",
    "    nA = np.array(list(gdA.geometry.apply(lambda x: (x.x, x.y))))\n",
    "    nB = np.array(list(gdB.geometry.apply(lambda x: (x.x, x.y))))\n",
    "    btree = cKDTree(nB)\n",
    "    dist, idx = btree.query(nA, k=1)\n",
    "    gdB_nearest = gdB.iloc[idx].drop(columns=\"geometry\").reset_index(drop=True)\n",
    "    gdf = pd.concat(\n",
    "        [\n",
    "            gdA.reset_index(drop=True),\n",
    "            gdB_nearest,\n",
    "            pd.Series(dist, name='dist')\n",
    "        ], \n",
    "        axis=1)\n",
    "\n",
    "    return gdf\n",
    "\n",
    "#error bar is +- sqrt(250²*2)m ≈ +-353.553390593m\n",
    "error = np.sqrt(250**2 + 250**2)\n",
    "df_nearest = ckdnearest(nl_map_dst_points.to_crs(epsg=28992), gdf_wims_dedupe.to_crs(epsg=28992))\n",
    "df_nearest.head()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Het was mooier geweest als we het konden filteren op alleen stemgerechtigden en niet op de gehele populatiedichtheid, maar het CBS geeft geen data vrij die daarbij helpt. Er is een categorie voor 0-14 jaar oude mensen, maar niet alle minderjarigen of niet stemgerechtigde. Het moet dus maar met totale bevolkingsdichtheid om een idee te krijgen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>crs28992res500m</th>\n",
       "      <th>aantal_inwoners</th>\n",
       "      <th>stedelijkheid</th>\n",
       "      <th>geometry</th>\n",
       "      <th>savedindex</th>\n",
       "      <th>_id</th>\n",
       "      <th>Gemeente</th>\n",
       "      <th>CBS gemeentecode</th>\n",
       "      <th>Nummer stembureau</th>\n",
       "      <th>Naam stembureau</th>\n",
       "      <th>...</th>\n",
       "      <th>Hoofdstembureau</th>\n",
       "      <th>Tellocatie</th>\n",
       "      <th>Contactgegevens gemeente</th>\n",
       "      <th>Verkiezingswebsite gemeente</th>\n",
       "      <th>Verkiezingen</th>\n",
       "      <th>ID</th>\n",
       "      <th>UUID</th>\n",
       "      <th>Unnamed: 39</th>\n",
       "      <th>Unnamed: 40</th>\n",
       "      <th>dist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>E2270N6190</td>\n",
       "      <td>0</td>\n",
       "      <td>-99997</td>\n",
       "      <td>POINT (227250.000 619250.000)</td>\n",
       "      <td>2</td>\n",
       "      <td>31030</td>\n",
       "      <td>Het Hogeland</td>\n",
       "      <td>GM1966</td>\n",
       "      <td>1</td>\n",
       "      <td>Dorpshuis Pieterburen</td>\n",
       "      <td>...</td>\n",
       "      <td>Het Hogeland</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@hethogeland.nl</td>\n",
       "      <td>https://hethogeland.nl/bestuur-en-organisatie/...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM1966stembureaus20220316009</td>\n",
       "      <td>6df04b8dd4be4aa3b4a03f221ab5ad17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17236.920436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>E2275N6190</td>\n",
       "      <td>0</td>\n",
       "      <td>-99997</td>\n",
       "      <td>POINT (227750.000 619250.000)</td>\n",
       "      <td>3</td>\n",
       "      <td>31030</td>\n",
       "      <td>Het Hogeland</td>\n",
       "      <td>GM1966</td>\n",
       "      <td>1</td>\n",
       "      <td>Dorpshuis Pieterburen</td>\n",
       "      <td>...</td>\n",
       "      <td>Het Hogeland</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@hethogeland.nl</td>\n",
       "      <td>https://hethogeland.nl/bestuur-en-organisatie/...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM1966stembureaus20220316009</td>\n",
       "      <td>6df04b8dd4be4aa3b4a03f221ab5ad17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17280.014918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>E2280N6190</td>\n",
       "      <td>0</td>\n",
       "      <td>-99997</td>\n",
       "      <td>POINT (228250.000 619250.000)</td>\n",
       "      <td>4</td>\n",
       "      <td>31030</td>\n",
       "      <td>Het Hogeland</td>\n",
       "      <td>GM1966</td>\n",
       "      <td>1</td>\n",
       "      <td>Dorpshuis Pieterburen</td>\n",
       "      <td>...</td>\n",
       "      <td>Het Hogeland</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@hethogeland.nl</td>\n",
       "      <td>https://hethogeland.nl/bestuur-en-organisatie/...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM1966stembureaus20220316009</td>\n",
       "      <td>6df04b8dd4be4aa3b4a03f221ab5ad17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17337.427867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>E2265N6185</td>\n",
       "      <td>0</td>\n",
       "      <td>-99997</td>\n",
       "      <td>POINT (226750.000 618750.000)</td>\n",
       "      <td>7</td>\n",
       "      <td>31030</td>\n",
       "      <td>Het Hogeland</td>\n",
       "      <td>GM1966</td>\n",
       "      <td>1</td>\n",
       "      <td>Dorpshuis Pieterburen</td>\n",
       "      <td>...</td>\n",
       "      <td>Het Hogeland</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@hethogeland.nl</td>\n",
       "      <td>https://hethogeland.nl/bestuur-en-organisatie/...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM1966stembureaus20220316009</td>\n",
       "      <td>6df04b8dd4be4aa3b4a03f221ab5ad17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16708.725120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>E2270N6185</td>\n",
       "      <td>0</td>\n",
       "      <td>-99997</td>\n",
       "      <td>POINT (227250.000 618750.000)</td>\n",
       "      <td>8</td>\n",
       "      <td>31030</td>\n",
       "      <td>Het Hogeland</td>\n",
       "      <td>GM1966</td>\n",
       "      <td>1</td>\n",
       "      <td>Dorpshuis Pieterburen</td>\n",
       "      <td>...</td>\n",
       "      <td>Het Hogeland</td>\n",
       "      <td>NaN</td>\n",
       "      <td>verkiezingen@hethogeland.nl</td>\n",
       "      <td>https://hethogeland.nl/bestuur-en-organisatie/...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM1966stembureaus20220316009</td>\n",
       "      <td>6df04b8dd4be4aa3b4a03f221ab5ad17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16738.249149</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>139997</th>\n",
       "      <td>E1990N3070</td>\n",
       "      <td>0</td>\n",
       "      <td>-99997</td>\n",
       "      <td>POINT (199250.000 307250.000)</td>\n",
       "      <td>151102</td>\n",
       "      <td>4103</td>\n",
       "      <td>Vaals</td>\n",
       "      <td>GM0981</td>\n",
       "      <td>3</td>\n",
       "      <td>Auw Sjoel</td>\n",
       "      <td>...</td>\n",
       "      <td>Vaals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Team verkiezingen, verkiezingen2022@vaals.nl</td>\n",
       "      <td>http://www.vaals.nl/verkiezingen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0981stembureaus20220316009</td>\n",
       "      <td>3dfcfccd163145698a33b19623c5c3f3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2010.126740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139998</th>\n",
       "      <td>E1995N3070</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (199750.000 307250.000)</td>\n",
       "      <td>151103</td>\n",
       "      <td>4103</td>\n",
       "      <td>Vaals</td>\n",
       "      <td>GM0981</td>\n",
       "      <td>3</td>\n",
       "      <td>Auw Sjoel</td>\n",
       "      <td>...</td>\n",
       "      <td>Vaals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Team verkiezingen, verkiezingen2022@vaals.nl</td>\n",
       "      <td>http://www.vaals.nl/verkiezingen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM0981stembureaus20220316009</td>\n",
       "      <td>3dfcfccd163145698a33b19623c5c3f3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1949.951758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139999</th>\n",
       "      <td>E1910N3065</td>\n",
       "      <td>0</td>\n",
       "      <td>-99997</td>\n",
       "      <td>POINT (191250.000 306750.000)</td>\n",
       "      <td>151105</td>\n",
       "      <td>29739</td>\n",
       "      <td>Gulpen-Wittem</td>\n",
       "      <td>GM1729</td>\n",
       "      <td>7</td>\n",
       "      <td>Gemeenschapshuis Patronaat</td>\n",
       "      <td>...</td>\n",
       "      <td>Gulpen-Wittem</td>\n",
       "      <td>NaN</td>\n",
       "      <td>info@gulpen-wittem.nl 14 043</td>\n",
       "      <td>https://www.gulpen-wittem.nl/onderwerpen/verki...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM1729stembureaus20220316009</td>\n",
       "      <td>feb9d0a67a2f460f906d0d21e87bf690</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2880.233287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140000</th>\n",
       "      <td>E1920N3065</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (192250.000 306750.000)</td>\n",
       "      <td>151106</td>\n",
       "      <td>29739</td>\n",
       "      <td>Gulpen-Wittem</td>\n",
       "      <td>GM1729</td>\n",
       "      <td>7</td>\n",
       "      <td>Gemeenschapshuis Patronaat</td>\n",
       "      <td>...</td>\n",
       "      <td>Gulpen-Wittem</td>\n",
       "      <td>NaN</td>\n",
       "      <td>info@gulpen-wittem.nl 14 043</td>\n",
       "      <td>https://www.gulpen-wittem.nl/onderwerpen/verki...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM1729stembureaus20220316009</td>\n",
       "      <td>feb9d0a67a2f460f906d0d21e87bf690</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2746.345509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140001</th>\n",
       "      <td>E1925N3065</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (192750.000 306750.000)</td>\n",
       "      <td>151107</td>\n",
       "      <td>29739</td>\n",
       "      <td>Gulpen-Wittem</td>\n",
       "      <td>GM1729</td>\n",
       "      <td>7</td>\n",
       "      <td>Gemeenschapshuis Patronaat</td>\n",
       "      <td>...</td>\n",
       "      <td>Gulpen-Wittem</td>\n",
       "      <td>NaN</td>\n",
       "      <td>info@gulpen-wittem.nl 14 043</td>\n",
       "      <td>https://www.gulpen-wittem.nl/onderwerpen/verki...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NLODSGM1729stembureaus20220316009</td>\n",
       "      <td>feb9d0a67a2f460f906d0d21e87bf690</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2813.494018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>140002 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       crs28992res500m  aantal_inwoners  stedelijkheid  \\\n",
       "0           E2270N6190                0         -99997   \n",
       "1           E2275N6190                0         -99997   \n",
       "2           E2280N6190                0         -99997   \n",
       "3           E2265N6185                0         -99997   \n",
       "4           E2270N6185                0         -99997   \n",
       "...                ...              ...            ...   \n",
       "139997      E1990N3070                0         -99997   \n",
       "139998      E1995N3070                0              5   \n",
       "139999      E1910N3065                0         -99997   \n",
       "140000      E1920N3065               15              5   \n",
       "140001      E1925N3065                0              5   \n",
       "\n",
       "                             geometry  savedindex    _id       Gemeente  \\\n",
       "0       POINT (227250.000 619250.000)           2  31030   Het Hogeland   \n",
       "1       POINT (227750.000 619250.000)           3  31030   Het Hogeland   \n",
       "2       POINT (228250.000 619250.000)           4  31030   Het Hogeland   \n",
       "3       POINT (226750.000 618750.000)           7  31030   Het Hogeland   \n",
       "4       POINT (227250.000 618750.000)           8  31030   Het Hogeland   \n",
       "...                               ...         ...    ...            ...   \n",
       "139997  POINT (199250.000 307250.000)      151102   4103          Vaals   \n",
       "139998  POINT (199750.000 307250.000)      151103   4103          Vaals   \n",
       "139999  POINT (191250.000 306750.000)      151105  29739  Gulpen-Wittem   \n",
       "140000  POINT (192250.000 306750.000)      151106  29739  Gulpen-Wittem   \n",
       "140001  POINT (192750.000 306750.000)      151107  29739  Gulpen-Wittem   \n",
       "\n",
       "       CBS gemeentecode  Nummer stembureau             Naam stembureau  ...  \\\n",
       "0                GM1966                  1       Dorpshuis Pieterburen  ...   \n",
       "1                GM1966                  1       Dorpshuis Pieterburen  ...   \n",
       "2                GM1966                  1       Dorpshuis Pieterburen  ...   \n",
       "3                GM1966                  1       Dorpshuis Pieterburen  ...   \n",
       "4                GM1966                  1       Dorpshuis Pieterburen  ...   \n",
       "...                 ...                ...                         ...  ...   \n",
       "139997           GM0981                  3                   Auw Sjoel  ...   \n",
       "139998           GM0981                  3                   Auw Sjoel  ...   \n",
       "139999           GM1729                  7  Gemeenschapshuis Patronaat  ...   \n",
       "140000           GM1729                  7  Gemeenschapshuis Patronaat  ...   \n",
       "140001           GM1729                  7  Gemeenschapshuis Patronaat  ...   \n",
       "\n",
       "       Hoofdstembureau Tellocatie  \\\n",
       "0         Het Hogeland        NaN   \n",
       "1         Het Hogeland        NaN   \n",
       "2         Het Hogeland        NaN   \n",
       "3         Het Hogeland        NaN   \n",
       "4         Het Hogeland        NaN   \n",
       "...                ...        ...   \n",
       "139997           Vaals        NaN   \n",
       "139998           Vaals        NaN   \n",
       "139999   Gulpen-Wittem        NaN   \n",
       "140000   Gulpen-Wittem        NaN   \n",
       "140001   Gulpen-Wittem        NaN   \n",
       "\n",
       "                            Contactgegevens gemeente  \\\n",
       "0                        verkiezingen@hethogeland.nl   \n",
       "1                        verkiezingen@hethogeland.nl   \n",
       "2                        verkiezingen@hethogeland.nl   \n",
       "3                        verkiezingen@hethogeland.nl   \n",
       "4                        verkiezingen@hethogeland.nl   \n",
       "...                                              ...   \n",
       "139997  Team verkiezingen, verkiezingen2022@vaals.nl   \n",
       "139998  Team verkiezingen, verkiezingen2022@vaals.nl   \n",
       "139999                  info@gulpen-wittem.nl 14 043   \n",
       "140000                  info@gulpen-wittem.nl 14 043   \n",
       "140001                  info@gulpen-wittem.nl 14 043   \n",
       "\n",
       "                              Verkiezingswebsite gemeente  Verkiezingen  \\\n",
       "0       https://hethogeland.nl/bestuur-en-organisatie/...           NaN   \n",
       "1       https://hethogeland.nl/bestuur-en-organisatie/...           NaN   \n",
       "2       https://hethogeland.nl/bestuur-en-organisatie/...           NaN   \n",
       "3       https://hethogeland.nl/bestuur-en-organisatie/...           NaN   \n",
       "4       https://hethogeland.nl/bestuur-en-organisatie/...           NaN   \n",
       "...                                                   ...           ...   \n",
       "139997                   http://www.vaals.nl/verkiezingen           NaN   \n",
       "139998                   http://www.vaals.nl/verkiezingen           NaN   \n",
       "139999  https://www.gulpen-wittem.nl/onderwerpen/verki...           NaN   \n",
       "140000  https://www.gulpen-wittem.nl/onderwerpen/verki...           NaN   \n",
       "140001  https://www.gulpen-wittem.nl/onderwerpen/verki...           NaN   \n",
       "\n",
       "                                       ID                              UUID  \\\n",
       "0       NLODSGM1966stembureaus20220316009  6df04b8dd4be4aa3b4a03f221ab5ad17   \n",
       "1       NLODSGM1966stembureaus20220316009  6df04b8dd4be4aa3b4a03f221ab5ad17   \n",
       "2       NLODSGM1966stembureaus20220316009  6df04b8dd4be4aa3b4a03f221ab5ad17   \n",
       "3       NLODSGM1966stembureaus20220316009  6df04b8dd4be4aa3b4a03f221ab5ad17   \n",
       "4       NLODSGM1966stembureaus20220316009  6df04b8dd4be4aa3b4a03f221ab5ad17   \n",
       "...                                   ...                               ...   \n",
       "139997  NLODSGM0981stembureaus20220316009  3dfcfccd163145698a33b19623c5c3f3   \n",
       "139998  NLODSGM0981stembureaus20220316009  3dfcfccd163145698a33b19623c5c3f3   \n",
       "139999  NLODSGM1729stembureaus20220316009  feb9d0a67a2f460f906d0d21e87bf690   \n",
       "140000  NLODSGM1729stembureaus20220316009  feb9d0a67a2f460f906d0d21e87bf690   \n",
       "140001  NLODSGM1729stembureaus20220316009  feb9d0a67a2f460f906d0d21e87bf690   \n",
       "\n",
       "       Unnamed: 39 Unnamed: 40          dist  \n",
       "0              NaN         NaN  17236.920436  \n",
       "1              NaN         NaN  17280.014918  \n",
       "2              NaN         NaN  17337.427867  \n",
       "3              NaN         NaN  16708.725120  \n",
       "4              NaN         NaN  16738.249149  \n",
       "...            ...         ...           ...  \n",
       "139997         NaN         NaN   2010.126740  \n",
       "139998         NaN         NaN   1949.951758  \n",
       "139999         NaN         NaN   2880.233287  \n",
       "140000         NaN         NaN   2746.345509  \n",
       "140001         NaN         NaN   2813.494018  \n",
       "\n",
       "[140002 rows x 47 columns]"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nl_map_dst_zero_points[\"aantal_inwoners\"].mask(nl_map_dst_zero_points[\"aantal_inwoners\"] == -99997, 0, inplace=True)\n",
    "nl_map_dst_zero_points.head()\n",
    "df_nearest_zero = ckdnearest(nl_map_dst_zero_points.to_crs(epsg=28992), gdf_wims_dedupe.to_crs(epsg=28992))\n",
    "df_nearest_zero[\"aantal_inwoners\"].dropna()\n",
    "df_nearest_zero[\"dist\"].dropna()\n",
    "df_nearest_zero"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>Gemeente</th>\n",
       "      <th>Naam stembureau</th>\n",
       "      <th>dist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>47304</th>\n",
       "      <td>Ridderkerk</td>\n",
       "      <td>Gemeentehuis</td>\n",
       "      <td>3.835321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32815</th>\n",
       "      <td>Baarn</td>\n",
       "      <td>Dorpshuis de Furs</td>\n",
       "      <td>4.000517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5168</th>\n",
       "      <td>Groningen</td>\n",
       "      <td>Dorpshuis De Hoeksteen</td>\n",
       "      <td>5.577246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38975</th>\n",
       "      <td>Montfoort</td>\n",
       "      <td>Zalencentrum St. Joseph</td>\n",
       "      <td>5.703409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67518</th>\n",
       "      <td>Kerkrade</td>\n",
       "      <td>’t Westhoes</td>\n",
       "      <td>7.252446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23422</th>\n",
       "      <td>Zeewolde</td>\n",
       "      <td>Het Kruispunt</td>\n",
       "      <td>8207.619943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22478</th>\n",
       "      <td>Lelystad</td>\n",
       "      <td>Gymzaal De Borg</td>\n",
       "      <td>8402.730770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22348</th>\n",
       "      <td>Lelystad</td>\n",
       "      <td>Voormalige Scholengemeenschap De Rietlanden</td>\n",
       "      <td>8540.805874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22477</th>\n",
       "      <td>Lelystad</td>\n",
       "      <td>Voormalige Scholengemeenschap De Rietlanden</td>\n",
       "      <td>9028.790070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22619</th>\n",
       "      <td>Zeewolde</td>\n",
       "      <td>Panta Rhei</td>\n",
       "      <td>9173.600947</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>68131 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Gemeente                              Naam stembureau         dist\n",
       "47304  Ridderkerk                                 Gemeentehuis     3.835321\n",
       "32815       Baarn                            Dorpshuis de Furs     4.000517\n",
       "5168    Groningen                       Dorpshuis De Hoeksteen     5.577246\n",
       "38975   Montfoort                      Zalencentrum St. Joseph     5.703409\n",
       "67518    Kerkrade                                  ’t Westhoes     7.252446\n",
       "...           ...                                          ...          ...\n",
       "23422    Zeewolde                                Het Kruispunt  8207.619943\n",
       "22478    Lelystad                              Gymzaal De Borg  8402.730770\n",
       "22348    Lelystad  Voormalige Scholengemeenschap De Rietlanden  8540.805874\n",
       "22477    Lelystad  Voormalige Scholengemeenschap De Rietlanden  9028.790070\n",
       "22619    Zeewolde                                   Panta Rhei  9173.600947\n",
       "\n",
       "[68131 rows x 3 columns]"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_nearest.sort_values(by=['dist'], inplace=True)\n",
    "df_nearest[['Gemeente', 'Naam stembureau', 'dist']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_dist(df, label):\n",
    "    plt.figure(figsize=(13,13))\n",
    "    df['dist'].plot(kind=\"hist\", weights=df['aantal_inwoners'], figsize=(13,13), density=False,title=\"Afstand tot Stemlokaal per 500 x 500 m vierkant (minimaal 5 mensen in het vierkant) Staffel {}\".format(label), log=True).set_ylabel('Bevolking (Millioenen)')\n",
    "    plt.figure(figsize=(13,13))\n",
    "    df.plot.scatter(x = 'aantal_inwoners', y = 'dist', figsize=(13,13), title=\"Afstand tot Stemlokaal per 500 x 500 m vierkant (minimaal 5 mensen in het vierkant) Staffel {}\".format(label), xlabel=\"Inwoners per 500m² (laagste is 5)\", ylabel=\"Afstand tot stemlokaal (meter)\")\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Inwoners per 500m² (inclusief lege (<5 inwoners) vierkanten)', ylabel='Afstand tot stemlokaal (meter)'>"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_nearest_zero.plot.scatter(x = 'aantal_inwoners', y = 'dist', figsize=(13,13), xlabel=\"Inwoners per 500m² (inclusief lege (<5 inwoners) vierkanten)\", ylabel=\"Afstand tot stemlokaal (meter)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "FIGSIZE = (13, 13)\n",
    "def plot_bargraph_with_groupings(df, groupby, colourby, title, xlabel, ylabel):\n",
    "\n",
    "    import matplotlib.patches as mpatches\n",
    "\n",
    "\n",
    "    # Makes the bargraph.\n",
    "    ax = df[groupby].value_counts().plot(kind='bar',\n",
    "                                         figsize=FIGSIZE,\n",
    "                                         title=title)\n",
    "    \n",
    "\n",
    "    # display the graph.\n",
    "    \n",
    "    ax.set_xlabel(xlabel)\n",
    "    ax.set_ylabel(ylabel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_bargraph_with_groupings(gdf_wims_dedupe, 'Gebruiksdoel van het gebouw', 'Gemeente', 'Gebruiksdoelen van Stemlokalen', 'Gebruiksdoel', 'Hoeveelheid Stemlokalen')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dit is onbruikbaar, de categorieën moeten elk één balkje zijn, niet zoals dit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_use (df, label):\n",
    "    plt.figure(figsize=(13,13))\n",
    "    df_exploded = df.drop('Gebruiksdoel van het gebouw', axis=1).join(df['Gebruiksdoel van het gebouw'].str.split(',', expand=True).stack().reset_index(level=1,drop=True).rename('Gebruiksdoel van het gebouw'))\n",
    "    #print(df_exploded)\n",
    "    plot_bargraph_with_groupings(df_exploded, 'Gebruiksdoel van het gebouw', 'Gemeente', 'Gebruiksdoelen van Stemlokalen Staffel {}'.format(label), 'Gebruiksdoel', 'Hoeveelheid Stemlokalen')\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Amsterdam              456\n",
       "Rotterdam              398\n",
       "'s-Gravenhage          271\n",
       "Utrecht                162\n",
       "Breda                   90\n",
       "Eindhoven               86\n",
       "Groningen               85\n",
       "Apeldoorn               71\n",
       "Enschede                69\n",
       "Alphen aan den Rijn     66\n",
       "Leiden                  52\n",
       "Deventer                51\n",
       "West Betuwe             37\n",
       "Waadhoeke               33\n",
       "Amsterdam              382\n",
       "Rotterdam              375\n",
       "'s-Gravenhage          258\n",
       "Utrecht                161\n",
       "Groningen              122\n",
       "Breda                   89\n",
       "Haarlemmermeer          79\n",
       "Nijmegen                74\n",
       "'s-Hertogenbosch        40\n",
       "Het Hogeland            39\n",
       "Zoetermeer              38\n",
       "Staphorst                2\n",
       "Name: Gemeente, dtype: int64"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "wims_count = gdf_wims_dedupe['Gemeente'].value_counts()\n",
    "\n",
    "\n",
    "geojson_rename = df_geojson_dedupe.rename(columns = {'electionName': 'Gemeente'})\n",
    "geojson_count = geojson_rename['Gemeente'].str.slice(13, -5).value_counts()\n",
    "\n",
    "pd.concat([geojson_count, wims_count]).drop_duplicates(keep=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>Openingstijden 14-03-2022</th>\n",
       "      <th>Openingstijden 15-03-2022</th>\n",
       "      <th>Openingstijden 16-03-2022</th>\n",
       "      <th>UUID</th>\n",
       "      <th>Gemeente</th>\n",
       "      <th>CBS gemeentecode</th>\n",
       "      <th>Openingstijden 14-03-2022 van</th>\n",
       "      <th>Openingstijden 14-03-2022 tot</th>\n",
       "      <th>Openingstijden 15-03-2022 van</th>\n",
       "      <th>Openingstijden 15-03-2022 tot</th>\n",
       "      <th>Openingstijden 16-03-2022 van</th>\n",
       "      <th>Openingstijden 16-03-2022 tot</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T10:00:00 tot 2022-03-16T13:00:00</td>\n",
       "      <td>3a612b2151fa4ab491b9e331355e6258</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T10:00:00</td>\n",
       "      <td>2022-03-16T13:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>9a01d765af0a467ea37f08d92db114ba</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00</td>\n",
       "      <td>2022-03-16T21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>fc5869d33fbc4b06be659149fa615f4c</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00</td>\n",
       "      <td>2022-03-16T21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>4427cc0b39e040ba8f75c333f19d66f0</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00</td>\n",
       "      <td>2022-03-16T21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-03-14T07:30:00 tot 2022-03-14T21:00:00</td>\n",
       "      <td>2022-03-15T07:30:00 tot 2022-03-15T21:00:00</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>a893bb9add324ce29769f1c39afcc48d</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>2022-03-14T07:30:00</td>\n",
       "      <td>2022-03-14T21:00:00</td>\n",
       "      <td>2022-03-15T07:30:00</td>\n",
       "      <td>2022-03-15T21:00:00</td>\n",
       "      <td>2022-03-16T07:30:00</td>\n",
       "      <td>2022-03-16T21:00:00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9270</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>f744546cd6894e5e9a4db4bbfd81b4ee</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00</td>\n",
       "      <td>2022-03-16T21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9271</th>\n",
       "      <td>2022-03-14T07:30:00 tot 2022-03-14T21:00:00</td>\n",
       "      <td>2022-03-15T07:30:00 tot 2022-03-15T21:00:00</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>1270081b1dc74cd7bea0f45973650408</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>2022-03-14T07:30:00</td>\n",
       "      <td>2022-03-14T21:00:00</td>\n",
       "      <td>2022-03-15T07:30:00</td>\n",
       "      <td>2022-03-15T21:00:00</td>\n",
       "      <td>2022-03-16T07:30:00</td>\n",
       "      <td>2022-03-16T21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9272</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-15T07:30:00 tot 2022-03-15T21:00:00</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>447c7742604345139e41def4cf1e4d3c</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-15T07:30:00</td>\n",
       "      <td>2022-03-15T21:00:00</td>\n",
       "      <td>2022-03-16T07:30:00</td>\n",
       "      <td>2022-03-16T21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9273</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>049cfd258c174bc49abf17883396d083</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00</td>\n",
       "      <td>2022-03-16T21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9274</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>1e8cbe96e72c4c6ba6303f47bec8cdb5</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00</td>\n",
       "      <td>2022-03-16T21:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8092 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Openingstijden 14-03-2022  \\\n",
       "0                                             NaN   \n",
       "1                                             NaN   \n",
       "2                                             NaN   \n",
       "3                                             NaN   \n",
       "4     2022-03-14T07:30:00 tot 2022-03-14T21:00:00   \n",
       "...                                           ...   \n",
       "9270                                          NaN   \n",
       "9271  2022-03-14T07:30:00 tot 2022-03-14T21:00:00   \n",
       "9272                                          NaN   \n",
       "9273                                          NaN   \n",
       "9274                                          NaN   \n",
       "\n",
       "                        Openingstijden 15-03-2022  \\\n",
       "0                                             NaN   \n",
       "1                                             NaN   \n",
       "2                                             NaN   \n",
       "3                                             NaN   \n",
       "4     2022-03-15T07:30:00 tot 2022-03-15T21:00:00   \n",
       "...                                           ...   \n",
       "9270                                          NaN   \n",
       "9271  2022-03-15T07:30:00 tot 2022-03-15T21:00:00   \n",
       "9272  2022-03-15T07:30:00 tot 2022-03-15T21:00:00   \n",
       "9273                                          NaN   \n",
       "9274                                          NaN   \n",
       "\n",
       "                        Openingstijden 16-03-2022  \\\n",
       "0     2022-03-16T10:00:00 tot 2022-03-16T13:00:00   \n",
       "1     2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "2     2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "3     2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "4     2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "...                                           ...   \n",
       "9270  2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "9271  2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "9272  2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "9273  2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "9274  2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "\n",
       "                                  UUID      Gemeente CBS gemeentecode  \\\n",
       "0     3a612b2151fa4ab491b9e331355e6258  Valkenswaard           GM0858   \n",
       "1     9a01d765af0a467ea37f08d92db114ba  Valkenswaard           GM0858   \n",
       "2     fc5869d33fbc4b06be659149fa615f4c  Valkenswaard           GM0858   \n",
       "3     4427cc0b39e040ba8f75c333f19d66f0  Valkenswaard           GM0858   \n",
       "4     a893bb9add324ce29769f1c39afcc48d  Valkenswaard           GM0858   \n",
       "...                                ...           ...              ...   \n",
       "9270  f744546cd6894e5e9a4db4bbfd81b4ee        Gennep           GM0907   \n",
       "9271  1270081b1dc74cd7bea0f45973650408        Gennep           GM0907   \n",
       "9272  447c7742604345139e41def4cf1e4d3c        Gennep           GM0907   \n",
       "9273  049cfd258c174bc49abf17883396d083        Gennep           GM0907   \n",
       "9274  1e8cbe96e72c4c6ba6303f47bec8cdb5        Gennep           GM0907   \n",
       "\n",
       "     Openingstijden 14-03-2022 van Openingstijden 14-03-2022 tot  \\\n",
       "0                              NaN                           NaN   \n",
       "1                              NaN                           NaN   \n",
       "2                              NaN                           NaN   \n",
       "3                              NaN                           NaN   \n",
       "4              2022-03-14T07:30:00           2022-03-14T21:00:00   \n",
       "...                            ...                           ...   \n",
       "9270                           NaN                           NaN   \n",
       "9271           2022-03-14T07:30:00           2022-03-14T21:00:00   \n",
       "9272                           NaN                           NaN   \n",
       "9273                           NaN                           NaN   \n",
       "9274                           NaN                           NaN   \n",
       "\n",
       "     Openingstijden 15-03-2022 van Openingstijden 15-03-2022 tot  \\\n",
       "0                              NaN                           NaN   \n",
       "1                              NaN                           NaN   \n",
       "2                              NaN                           NaN   \n",
       "3                              NaN                           NaN   \n",
       "4              2022-03-15T07:30:00           2022-03-15T21:00:00   \n",
       "...                            ...                           ...   \n",
       "9270                           NaN                           NaN   \n",
       "9271           2022-03-15T07:30:00           2022-03-15T21:00:00   \n",
       "9272           2022-03-15T07:30:00           2022-03-15T21:00:00   \n",
       "9273                           NaN                           NaN   \n",
       "9274                           NaN                           NaN   \n",
       "\n",
       "     Openingstijden 16-03-2022 van Openingstijden 16-03-2022 tot  \n",
       "0              2022-03-16T10:00:00           2022-03-16T13:00:00  \n",
       "1              2022-03-16T07:30:00           2022-03-16T21:00:00  \n",
       "2              2022-03-16T07:30:00           2022-03-16T21:00:00  \n",
       "3              2022-03-16T07:30:00           2022-03-16T21:00:00  \n",
       "4              2022-03-16T07:30:00           2022-03-16T21:00:00  \n",
       "...                            ...                           ...  \n",
       "9270           2022-03-16T07:30:00           2022-03-16T21:00:00  \n",
       "9271           2022-03-16T07:30:00           2022-03-16T21:00:00  \n",
       "9272           2022-03-16T07:30:00           2022-03-16T21:00:00  \n",
       "9273           2022-03-16T07:30:00           2022-03-16T21:00:00  \n",
       "9274           2022-03-16T07:30:00           2022-03-16T21:00:00  \n",
       "\n",
       "[8092 rows x 12 columns]"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf_wims_times = gdf_wims_dedupe.loc[:, ('Openingstijden 14-03-2022','Openingstijden 15-03-2022','Openingstijden 16-03-2022', 'UUID', 'Gemeente', 'CBS gemeentecode')]\n",
    "gdf_wims_split = gdf_wims_times\n",
    "gdf_wims_split[['Openingstijden 14-03-2022 van', 'Openingstijden 14-03-2022 tot']] = gdf_wims_times['Openingstijden 14-03-2022'].str.split(' tot ',1 , expand=True)\n",
    "gdf_wims_split[['Openingstijden 15-03-2022 van', 'Openingstijden 15-03-2022 tot']] = gdf_wims_split['Openingstijden 15-03-2022'].str.split(' tot ',1 , expand=True)\n",
    "gdf_wims_split[['Openingstijden 16-03-2022 van', 'Openingstijden 16-03-2022 tot']] = gdf_wims_split['Openingstijden 16-03-2022'].str.split(' tot ',1 , expand=True)\n",
    "\n",
    "gdf_wims_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Openingstijden 14-03-2022</th>\n",
       "      <th>Openingstijden 15-03-2022</th>\n",
       "      <th>Openingstijden 16-03-2022</th>\n",
       "      <th>UUID</th>\n",
       "      <th>Gemeente</th>\n",
       "      <th>CBS gemeentecode</th>\n",
       "      <th>Openingstijden 14-03-2022 van</th>\n",
       "      <th>Openingstijden 14-03-2022 tot</th>\n",
       "      <th>Openingstijden 15-03-2022 van</th>\n",
       "      <th>Openingstijden 15-03-2022 tot</th>\n",
       "      <th>Openingstijden 16-03-2022 van</th>\n",
       "      <th>Openingstijden 16-03-2022 tot</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T10:00:00 tot 2022-03-16T13:00:00</td>\n",
       "      <td>3a612b2151fa4ab491b9e331355e6258</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2022-03-16 10:00:00</td>\n",
       "      <td>2022-03-16 13:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>9a01d765af0a467ea37f08d92db114ba</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2022-03-16 07:30:00</td>\n",
       "      <td>2022-03-16 21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>fc5869d33fbc4b06be659149fa615f4c</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2022-03-16 07:30:00</td>\n",
       "      <td>2022-03-16 21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>4427cc0b39e040ba8f75c333f19d66f0</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2022-03-16 07:30:00</td>\n",
       "      <td>2022-03-16 21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-03-14T07:30:00 tot 2022-03-14T21:00:00</td>\n",
       "      <td>2022-03-15T07:30:00 tot 2022-03-15T21:00:00</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>a893bb9add324ce29769f1c39afcc48d</td>\n",
       "      <td>Valkenswaard</td>\n",
       "      <td>GM0858</td>\n",
       "      <td>2022-03-14 07:30:00</td>\n",
       "      <td>2022-03-14 21:00:00</td>\n",
       "      <td>2022-03-15 07:30:00</td>\n",
       "      <td>2022-03-15 21:00:00</td>\n",
       "      <td>2022-03-16 07:30:00</td>\n",
       "      <td>2022-03-16 21:00:00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9270</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>f744546cd6894e5e9a4db4bbfd81b4ee</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2022-03-16 07:30:00</td>\n",
       "      <td>2022-03-16 21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9271</th>\n",
       "      <td>2022-03-14T07:30:00 tot 2022-03-14T21:00:00</td>\n",
       "      <td>2022-03-15T07:30:00 tot 2022-03-15T21:00:00</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>1270081b1dc74cd7bea0f45973650408</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>2022-03-14 07:30:00</td>\n",
       "      <td>2022-03-14 21:00:00</td>\n",
       "      <td>2022-03-15 07:30:00</td>\n",
       "      <td>2022-03-15 21:00:00</td>\n",
       "      <td>2022-03-16 07:30:00</td>\n",
       "      <td>2022-03-16 21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9272</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-15T07:30:00 tot 2022-03-15T21:00:00</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>447c7742604345139e41def4cf1e4d3c</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2022-03-15 07:30:00</td>\n",
       "      <td>2022-03-15 21:00:00</td>\n",
       "      <td>2022-03-16 07:30:00</td>\n",
       "      <td>2022-03-16 21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9273</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>049cfd258c174bc49abf17883396d083</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2022-03-16 07:30:00</td>\n",
       "      <td>2022-03-16 21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9274</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-03-16T07:30:00 tot 2022-03-16T21:00:00</td>\n",
       "      <td>1e8cbe96e72c4c6ba6303f47bec8cdb5</td>\n",
       "      <td>Gennep</td>\n",
       "      <td>GM0907</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2022-03-16 07:30:00</td>\n",
       "      <td>2022-03-16 21:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8092 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Openingstijden 14-03-2022  \\\n",
       "0                                             NaN   \n",
       "1                                             NaN   \n",
       "2                                             NaN   \n",
       "3                                             NaN   \n",
       "4     2022-03-14T07:30:00 tot 2022-03-14T21:00:00   \n",
       "...                                           ...   \n",
       "9270                                          NaN   \n",
       "9271  2022-03-14T07:30:00 tot 2022-03-14T21:00:00   \n",
       "9272                                          NaN   \n",
       "9273                                          NaN   \n",
       "9274                                          NaN   \n",
       "\n",
       "                        Openingstijden 15-03-2022  \\\n",
       "0                                             NaN   \n",
       "1                                             NaN   \n",
       "2                                             NaN   \n",
       "3                                             NaN   \n",
       "4     2022-03-15T07:30:00 tot 2022-03-15T21:00:00   \n",
       "...                                           ...   \n",
       "9270                                          NaN   \n",
       "9271  2022-03-15T07:30:00 tot 2022-03-15T21:00:00   \n",
       "9272  2022-03-15T07:30:00 tot 2022-03-15T21:00:00   \n",
       "9273                                          NaN   \n",
       "9274                                          NaN   \n",
       "\n",
       "                        Openingstijden 16-03-2022  \\\n",
       "0     2022-03-16T10:00:00 tot 2022-03-16T13:00:00   \n",
       "1     2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "2     2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "3     2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "4     2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "...                                           ...   \n",
       "9270  2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "9271  2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "9272  2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "9273  2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "9274  2022-03-16T07:30:00 tot 2022-03-16T21:00:00   \n",
       "\n",
       "                                  UUID      Gemeente CBS gemeentecode  \\\n",
       "0     3a612b2151fa4ab491b9e331355e6258  Valkenswaard           GM0858   \n",
       "1     9a01d765af0a467ea37f08d92db114ba  Valkenswaard           GM0858   \n",
       "2     fc5869d33fbc4b06be659149fa615f4c  Valkenswaard           GM0858   \n",
       "3     4427cc0b39e040ba8f75c333f19d66f0  Valkenswaard           GM0858   \n",
       "4     a893bb9add324ce29769f1c39afcc48d  Valkenswaard           GM0858   \n",
       "...                                ...           ...              ...   \n",
       "9270  f744546cd6894e5e9a4db4bbfd81b4ee        Gennep           GM0907   \n",
       "9271  1270081b1dc74cd7bea0f45973650408        Gennep           GM0907   \n",
       "9272  447c7742604345139e41def4cf1e4d3c        Gennep           GM0907   \n",
       "9273  049cfd258c174bc49abf17883396d083        Gennep           GM0907   \n",
       "9274  1e8cbe96e72c4c6ba6303f47bec8cdb5        Gennep           GM0907   \n",
       "\n",
       "     Openingstijden 14-03-2022 van Openingstijden 14-03-2022 tot  \\\n",
       "0                              NaT                           NaT   \n",
       "1                              NaT                           NaT   \n",
       "2                              NaT                           NaT   \n",
       "3                              NaT                           NaT   \n",
       "4              2022-03-14 07:30:00           2022-03-14 21:00:00   \n",
       "...                            ...                           ...   \n",
       "9270                           NaT                           NaT   \n",
       "9271           2022-03-14 07:30:00           2022-03-14 21:00:00   \n",
       "9272                           NaT                           NaT   \n",
       "9273                           NaT                           NaT   \n",
       "9274                           NaT                           NaT   \n",
       "\n",
       "     Openingstijden 15-03-2022 van Openingstijden 15-03-2022 tot  \\\n",
       "0                              NaT                           NaT   \n",
       "1                              NaT                           NaT   \n",
       "2                              NaT                           NaT   \n",
       "3                              NaT                           NaT   \n",
       "4              2022-03-15 07:30:00           2022-03-15 21:00:00   \n",
       "...                            ...                           ...   \n",
       "9270                           NaT                           NaT   \n",
       "9271           2022-03-15 07:30:00           2022-03-15 21:00:00   \n",
       "9272           2022-03-15 07:30:00           2022-03-15 21:00:00   \n",
       "9273                           NaT                           NaT   \n",
       "9274                           NaT                           NaT   \n",
       "\n",
       "     Openingstijden 16-03-2022 van Openingstijden 16-03-2022 tot  \n",
       "0              2022-03-16 10:00:00           2022-03-16 13:00:00  \n",
       "1              2022-03-16 07:30:00           2022-03-16 21:00:00  \n",
       "2              2022-03-16 07:30:00           2022-03-16 21:00:00  \n",
       "3              2022-03-16 07:30:00           2022-03-16 21:00:00  \n",
       "4              2022-03-16 07:30:00           2022-03-16 21:00:00  \n",
       "...                            ...                           ...  \n",
       "9270           2022-03-16 07:30:00           2022-03-16 21:00:00  \n",
       "9271           2022-03-16 07:30:00           2022-03-16 21:00:00  \n",
       "9272           2022-03-16 07:30:00           2022-03-16 21:00:00  \n",
       "9273           2022-03-16 07:30:00           2022-03-16 21:00:00  \n",
       "9274           2022-03-16 07:30:00           2022-03-16 21:00:00  \n",
       "\n",
       "[8092 rows x 12 columns]"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf_wims_split[['Openingstijden 14-03-2022 van','Openingstijden 15-03-2022 van','Openingstijden 16-03-2022 van', 'Openingstijden 14-03-2022 tot', 'Openingstijden 15-03-2022 tot','Openingstijden 16-03-2022 tot']] = gdf_wims_split[['Openingstijden 14-03-2022 van','Openingstijden 15-03-2022 van','Openingstijden 16-03-2022 van','Openingstijden 14-03-2022 tot','Openingstijden 15-03-2022 tot','Openingstijden 16-03-2022 tot']].apply(pd.to_datetime, errors='coerce')\n",
    "gdf_wims_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "import datetime as dt\n",
    "wims_datemerge = pd.DataFrame()\n",
    "def datesplit(df, column):\n",
    "    df = df.dropna(subset = ['{} van'.format(column)])\n",
    "    df1 = df.rename(columns={'{} van'.format(column):'vandate','{} tot'.format(column):'totdate', 'UUID':'UUID'})\n",
    "    return  (pd.concat([pd.Series(r.UUID,pd.date_range(r.vandate, r.totdate, freq='0.5H')) \n",
    "                        for r in df1.itertuples()])\n",
    "               .rename_axis('Openingstijden')\n",
    "               .reset_index(name='UUID'))\n",
    "def plot_opening(df, label):\n",
    "    plt.figure(figsize=(13,13))\n",
    "    wims_datesplit_14 = df.loc[:, ('Openingstijden 14-03-2022 van','Openingstijden 14-03-2022 tot', 'UUID')]\n",
    "    wims_datesplit_15 = df.loc[:, ('Openingstijden 15-03-2022 van','Openingstijden 15-03-2022 tot', 'UUID')]\n",
    "    wims_datesplit_16 = df.loc[:, ('Openingstijden 16-03-2022 van','Openingstijden 16-03-2022 tot', 'UUID')]\n",
    "    wims_datesplit_14 = datesplit(wims_datesplit_14, 'Openingstijden 14-03-2022')\n",
    "    wims_datesplit_15 = datesplit(wims_datesplit_15, 'Openingstijden 15-03-2022')\n",
    "    wims_datesplit_16 = datesplit(wims_datesplit_16, 'Openingstijden 16-03-2022')\n",
    "\n",
    "    wims_datesplit_14.reset_index()\n",
    "    wims_datesplit_15.reset_index()\n",
    "    wims_datesplit_16.reset_index()\n",
    "\n",
    "    #wims_datesplit_14.info()\n",
    "    #wims_datesplit_15.info()\n",
    "    #wims_datesplit_16.info()\n",
    "\n",
    "    \n",
    "    wims_datestack = pd.concat([wims_datesplit_14, wims_datesplit_15], ignore_index=True)\n",
    "    wims_datestack = pd.concat([wims_datestack, wims_datesplit_16], ignore_index=True)\n",
    "    \n",
    "\n",
    "    \n",
    "\n",
    "    wims_datestack.set_index('Openingstijden', drop=False, inplace=True)\n",
    "\n",
    "    #print(wims_datestack['Openingstijden'].unique())\n",
    "\n",
    "    xticks = []\n",
    "    xticklabels = []\n",
    "    datetimecount = 0\n",
    "    for datetime in wims_datestack.groupby(pd.Grouper(freq='30Min'))['Openingstijden'].unique():\n",
    "        if (datetime.size > 0):\n",
    "            xticks.append(datetime.ravel()[0])\n",
    "            if(datetimecount % 6 == 0):\n",
    "                ts = pd.to_datetime(datetime.ravel()[0])\n",
    "                #hardcoded for the data, sloppy code, quick fix, only applies to timestamps with 7 minute changes to reality\n",
    "                if (ts.minute == 7):\n",
    "                    ts = ts - dt.timedelta(minutes=7)\n",
    "                xticklabels.append(ts.strftime(\"%m-%d %H:%M\"))\n",
    "            else:\n",
    "                xticklabels.append(\" \")\n",
    "        else:\n",
    "            xticks.append(\"\")\n",
    "            xticklabels.append(\"\")\n",
    "        datetimecount += 1\n",
    "\n",
    "\n",
    "    wims_datestack.groupby(pd.Grouper(freq='30Min')).count().plot(kind='bar', y='Openingstijden',width=1, figsize=(25, 25), title=\"Openingstijden stemlokalen staffel {} kiesgerechtigden\".format(label)).set_xticklabels(xticklabels, rotation=-45, ha=\"left\", rotation_mode=\"anchor\")\n",
    "    #TODO: export excel file\n",
    "    wims_datestack.to_csv(path_or_buf='../data/export/openingstijden_staffel_{}.csv'.format(label), sep=';', na_rep='', header=True, date_format = '%m-%d %H:%M')\n",
    "\n",
    "\n",
    "    #wims_datesplit_16.groupby(wims_datesplit_16[\"Openingstijden 16-03-2022\"].dt.hour).count().plot(kind=\"bar\", y='Openingstijden 16-03-2022')\n",
    "    #wims_datesplit_16.groupby(pd.Grouper(freq='30Min')).count().plot(kind='bar', y='Openingstijden 16-03-2022')\n",
    "    #wims_datesplit_15.groupby(wims_datesplit_15[\"Openingstijden 15-03-2022\"].dt.hour).count().plot(kind=\"bar\", y='Openingstijden 15-03-2022')\n",
    "    #wims_datesplit_14.groupby(wims_datesplit_14[\"Openingstijden 14-03-2022\"].dt.hour).count().plot(kind=\"bar\", y='Openingstijden 14-03-2022')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_112022/2535562662.py:7: 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",
      "  df_stemger_clean['binned'] = pd.cut(df_stemger_clean['Kiesgerechtigde bevolking'], bins, labels=labels)\n"
     ]
    }
   ],
   "source": [
    "df_stemger = pd.read_excel('../data/Maatwerk_kiesgerechtigd_per_gemeente_def.xlsx', sheet_name='Tabel 1', header=0, skiprows= [0,1,3,5,6,7,344,345])\n",
    "df_stemger_clean = df_stemger[df_stemger['gemeentecode'].isin(nl_map_clean['GM_CODE'])]\n",
    "\n",
    "bins = [0, 1, 3, 6, 10, 35, float(\"inf\")]\n",
    "labels = ['0-10.000', '10.000-30.000', '30.000-60.000', '60.000-100.000', '100.000-350.000', '350.000+']\n",
    "\n",
    "df_stemger_clean['binned'] = pd.cut(df_stemger_clean['Kiesgerechtigde bevolking'], bins, labels=labels)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 936x936 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 936x936 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 936x936 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 936x936 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ty+bHblOs931wXoLjfUleUtNfL/xspg+rXOP0JPsv+N+A5yzxGgGAmzHBGQDYoDF9iN4Lk7w6U6j9RKbZaoePaU3fNU5L8sRMoeWpSY4Z01rJ12WaUXxwkq9nWobjLUnu0DzOH2eaif30TKHxKZkC3pox7pPk/8sUGP81yRvGGB+dt70yU7C7vKr+n42c6s1JPpzpQ8g+lXU+UDFThLl1ks9neixOzbT8yOa6TZLjMz1e38k0Y/eF87ZT5n8vq6pPNZ/3esYYZyb5w0wfCHZRplmkT1pkv29mis4vqKpnZFrD9bbz+P8tyT9s4BzvzzQb+d01LW3xuUwz6LfEEUnOq6orM32A4JPmdWyvyrSO9Mfnn/OhmX6Zct9M6/uenhv+LDdoKeMeY7wtUxT9RKYlS36UKdKteS4fnelnenmSX09y9Hx7alrqYuFs3Rdn+pC2byT5P0n+dEwfLrnRY837/UmmNXO/Mf+3oV8O3CPTLxLWnP/qTB9Ct8azM/3cL8n0oXC/NcY4bz7X6kzrAL8803P0gVnwXKqqF9b1l+7Y4mNlWurig0k+m+nncvp82waNMc7N9OF1b66qxX6WG3qd3T/JJ+bn3geSPHeM8fUxxqWZ/grgTzItR7NfkpWZ35s293k0xliZ6ZcKr5vH8JUkK+Zta95v753pw1BXZXpf3hR/nuRxVfUfVfUXi2z/nUzv29/JFP7fteAa1lzj8fM17pPk4wvG3PkaBwC2cbXhZcwAADauql6S5N5jjKds7bEsVFWfSPJXY4y3L/E4/5zkLWOMd/SMDPhpNf9lwqokTx5j/NPWHs+WqqpXJfmZMcaxW3ssAMC2xQxnAOAWo6r+S1X9zLykxrGZ1qpd78zaTTzmjpn+zPzrHWMEfvpU1SOr6o7z8iMvzLRW+L9t5WFtlqr62ao6cF7G4wGZ/prk/Vt7XADAtmdLPkwCAGBbtW+mNZZ3yrTEwOPmdVe3SFXtkenP1T+Y5KyWEQI/jX4x03roa5bjOHqMcfXWHdJm2znTMhp7Zlrm5M8yLaUEAHA9ltQAAAAAAKCFJTUAAAAAAGghOAMAAAAA0GKbWMN5t912G8uXL9/awwAAAAAAYAPOPvvsS8cYu69v+zYRnJcvX56VK1du7WEAAAAAALABVfWNDW23pAYAAAAAAC0EZwAAAAAAWgjOAAAAAAC02CbWcAYAAAAAbnmuueaarFq1Kj/84Q+39lDYTMuWLctee+2VHXbYYbPuJzgDAAAAADeKVatWZeedd87y5ctTVVt7OGyiMUYuu+yyrFq1Kve85z03676W1AAAAAAAbhQ//OEPs+uuu4rNNzNVlV133XWLZqYLzgAAAADAjUZsvnna0p+b4AwAAAAA3KKtWrUqRx11VPbZZ5/c6173ynOf+9z8+Mc/bj3HX/3VX+Ud73hH6zFPOOGEfPvb3177/TOe8Yx8/vOfT5I86lGPyuWXX36D+7zkJS/Jq1/96tZxbA5rOAMAAAAAN4nlx53eerwLjj9yo/uMMXLMMcfkt37rt3LaaafluuuuyzOf+cy86EUvyp/+6Z+2jeVZz3pW27HWOOGEE3LAAQdkzz33TJK85S1vWbvt7/7u79rP18EMZwAAAADgFusjH/lIli1blqc97WlJku222y6vec1r8ra3vS1veMMbctRRR+WII47Ivvvumz/6oz9ae793vvOdecADHpCDDz44v/mbv5nrrrsuSbLTTjvlRS96UQ466KAceuihufjii5Ncf2bxYYcdlhe84AV5wAMekPvc5z752Mc+liS56qqr8oQnPCEHHnhgnvjEJ+aBD3xgVq5cmeuuuy4rVqzIAQcckJ//+Z/Pa17zmpx66qlZuXJlnvzkJ+fggw/O1VdfncMOOywrV65MkixfvjyXXnppkuTlL3959t133zzsYQ/LF7/4xbXX8NWvfjVHHHFE7ne/++UhD3lIvvCFLyRJVqxYkec85zl50IMelL333junnnpq2+MtOAMAAAAAt1jnnXde7ne/+13vttvf/va5+93vnmuvvTaf/OQnc9JJJ+Wcc87JKaeckpUrV+b888/Pe97znnz84x/POeeck+222y4nnXRSkuQHP/hBDj300Jx77rl56EMfmje/+c2LnnfNsV/72teuDdlveMMbsssuu+Qzn/lM/vAP/zBnn312kuScc87Jt771rXzuc5/LZz/72TztaU/L4x73uBxyyCFrx3bb29520fOcffbZefe7351Pf/rTed/73pd///d/X7vtmc98Zv7yL/8yZ599dl796lfn2c9+9tptF110Uc4666x86EMfynHHHbflD/A6LKkBAAAAANxijTEW/QC8Nbc//OEPz6677pokOeaYY3LWWWdl++23z9lnn5373//+SZKrr746e+yxR5Lk1re+dR796EcnSe53v/vljDPOWPS8xxxzzNp9LrjggiTJWWedlec+97lJkgMOOCAHHnhgkmTvvffO1772tfzu7/5ujjzyyDziEY/Y5Ov72Mc+ll/7tV/LjjvumCR5zGMekyS58sor8y//8i95/OMfv3bfH/3oR2u/Pvroo3OrW90q++2339pZ2h0EZwAAAADgFmv//ffPe9/73uvd9v3vfz8XXnhhtttuuxvE6KrKGCPHHntsXvnKV97geDvssMPa+2y33Xa59tprFz3vbW5zmxvsM8ZYdN9ddtkl5557bj784Q/n9a9/fU4++eS87W1v2+RrXCyo/+QnP8kd73jHnHPOORsc34bGtSUsqQEAAAAA3GIdfvjhueqqq/KOd7wjSXLdddfl+c9/flasWJEdd9wxZ5xxRr773e/m6quvzt/+7d/mwQ9+cA4//PCceuqpueSSS5Ik3/3ud/ONb3xjyWP5pV/6pZx88slJks9//vP57Gc/myS59NJL85Of/CSPfexj89KXvjSf+tSnkiQ777xzrrjiig0e86EPfWje//735+qrr84VV1yRD37wg0mmZUPuec975pRTTkkyReVzzz13ydewMYIzAAAAAHCLVVV5//vfn1NOOSX77LNP7nOf+2TZsmV5xStekWSKwE996lNz8MEH57GPfWwOOeSQ7LfffnnZy16WRzziETnwwAPz8Ic/PBdddNGSx/LsZz87q1evzoEHHphXvepVOfDAA3OHO9wh3/rWt3LYYYfl4IMPzooVK9bOrF6xYkWe9axnrf3QwMWu7b73vW+e+MQnrh3/Qx7ykLXbTzrppLz1rW/NQQcdlP333z+nnXbakq9hY6pzuvSWOuSQQ8aaT1cEAAAAAG4Zzj///Pzcz/3c1h7Gep1wwglZuXJlXve6190k57vuuutyzTXXZNmyZfnqV7+aww8/PF/60pdy61vferOPs8cee+Q73/lOdthhhxtptIv//Krq7DHGIeu7jzWcAQAAAABuAldddVV++Zd/Oddcc03GGHnjG9+42bE5mdalfsYznnGjxuYtJTgDAAAAAD+VVqxYkRUrVtxk59t5553TsdLDF77whYbR3Dis4QwAAAAAQAvBGQAAAAC40WwLnyHH5tvSn5vgDAAAAADcKJYtW5bLLrtMdL6ZGWPksssuy7Jlyzb7vtZwBgAAAABuFHvttVdWrVqV1atXb+2hsJmWLVuWvfbaa7PvJzgDAAAAADeKHXbYIfe85z239jC4CVlSAwAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgxfZbewAAAAAA3HIsP+70rT2EzXbB8Udu7SHALYYZzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0GL7rT0AAAAAALZty487fWsP4UZ1c7y+C44/cmsPARZlhjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALTYfmsPAAAAAIClW37c6Vt7CNyE/Ly5qV1w/JGbtJ8ZzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0GL7rT0AAAAAgJu75cedvrWHALBNMMMZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0GKjwbmq3lZVl1TV5xbcdqeqOqOqvjz/u8uCbX9QVV+pqi9W1SNvrIEDAAAAALBt2ZQZzickOWKd245LcuYYY58kZ87fp6r2S/KkJPvP93lDVW3XNloAAAAAALZZGw3OY4x/TvLddW4+KsmJ89cnJjl6we3vHmP8aIzx9SRfSfKAnqECAAAAALAt29I1nO88xrgoSeZ/95hvv2uSCxfst2q+7Qaq6plVtbKqVq5evXoLhwEAAAAAwLai+0MDa5HbxmI7jjHeNMY4ZIxxyO677948DAAAAAAAbmpbGpwvrqq7JMn87yXz7auS3G3Bfnsl+faWDw8AAAAAgJuLLQ3OH0hy7Pz1sUlOW3D7k6rqNlV1zyT7JPnk0oYIAAAAAMDNwfYb26Gq3pXksCS7VdWqJC9OcnySk6vq6Um+meTxSTLGOK+qTk7y+STXJvntMcZ1N9LYAQAAAADYhmw0OI8x/tt6Nh2+nv1fnuTlSxkUAAAAAAA3P90fGggAAAAAwE8pwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFksKzlX136vqvKr6XFW9q6qWVdWdquqMqvry/O8uXYMFAAAAAGDbtcXBuarumuQ5SQ4ZYxyQZLskT0pyXJIzxxj7JDlz/h4AAAAAgFu4pS6psX2S21bV9kl2TPLtJEclOXHefmKSo5d4DgAAAAAAbga2ODiPMb6V5NVJvpnkoiTfG2P8Y5I7jzEumve5KMkei92/qp5ZVSurauXq1au3dBgAAAAAAGwjlrKkxi6ZZjPfM8meSW5XVU/Z1PuPMd40xjhkjHHI7rvvvqXDAAAAAABgG7GUJTUeluTrY4zVY4xrkrwvyYOSXFxVd0mS+d9Llj5MAAAAAAC2dUsJzt9McmhV7VhVleTwJOcn+UCSY+d9jk1y2tKGCAAAAADAzcH2W3rHMcYnqurUJJ9Kcm2STyd5U5KdkpxcVU/PFKUf3zFQAAAAAAC2bVscnJNkjPHiJC9e5+YfZZrtDAAAAADAT5GlLKkBAAAAAABrCc4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBCcAQAAAABoITgDAAAAANBCcAYAAAAAoIXgDAAAAABAC8EZAAAAAIAWgjMAAAAAAC0EZwAAAAAAWgjOAAAAAAC0EJwBAAAAAGghOAMAAAAA0EJwBgAAAACgheAMAAAAAEALwRkAAAAAgBaCMwAAAAAALQRnAAAAAABaCM4AAAAAALQQnAEAAAAAaCE4AwAAAADQQnAGAAAAAKCF4AwAAAAAQAvBGQAAAACAFoIzAAAAAAAtBGcAAAAAAFoIzgAAAAAAtBC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",
      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 936x936 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 936x936 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def filter_binned(df1, df2):\n",
    "    return df1[df1['CBS gemeentecode'].isin(df2['gemeentecode'])]\n",
    "\n",
    "def make_graphs_opening(label):\n",
    "    df_stemger_label = df_stemger_clean[df_stemger_clean['binned'].str.contains(label)]\n",
    "    #df_stemger_label.head()\n",
    "    graph_wims = filter_binned(gdf_wims_dedupe, df_stemger_label)\n",
    "    graph_wims_split = filter_binned(gdf_wims_split, df_stemger_label)\n",
    "    plot_opening(graph_wims_split, label)\n",
    "    \n",
    "    \n",
    "for label in labels:\n",
    "    make_graphs_opening(label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def make_graphs_use(label):\n",
    "    df_stemger_label = df_stemger_clean[df_stemger_clean['binned'].str.contains(label)]\n",
    "    plot_use(filter_binned(gdf_wims_dedupe, df_stemger_label), label)\n",
    "\n",
    "for label in labels:\n",
    "    make_graphs_use(label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 936x936 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ntJT9Jju+jhtpmn8vjojWoz0jvf9/RPPj9CKajfsBpbzdz2dBOeLYWqc7ad6HPpouFwPvw5zMPKRl3KHWlZFkS71+AkyLiINahh/K9hP0rqflqFv53J/EMCfwlRaff6Pp5nFSVFz5a1C9rgcWDXpPFg1Xr/L4npGCy87KzH6acyj+kOZzvqgcDR7sdpoj+q3r7B6Z2dqKNtRn9Q2aFruV5Sgr0VyBagVNn/V9M3NP4Ku0vz6NuE6Ugxg/BZ7S5vy66SyabeNBmTmHJpwFNJffBU6h2e7OLe/T/bT/PrUaeM92ZtrBbge+M2hdmJ2ZJ7VVkcwzM/Mwmm5eT6FpQfwFTVg5pGWej8vmRN2J5Haa1qbW1/7YzPx8Gd7O9urzNN+3Y4EbSrgYajk7s23cme37aIZ7TU+nabkYeeKmBekLlPNhhprnGKzrj2adHPw78ESa1pCfZHPluoGLFRwy7BwGXlTmBpr9kcHb7+FCyEjLHm1eo/2OTBkGicnjOJqTnQ6mOWq5mGZD8j3gtYNHjoh9I2JJ2Tnro0nPA0fp7gEWDrq6wB7ALzNzS0QczshdpgY7HzgtIuZGxEKaJtWR3EPTx3vA54DXR3MptRk0RwUvz6arwVDj7yAi3hLNf1fMiohppVvTHmy/ctPg6T9Dc0Tq6HK0f2aZfmGbr3dI5Sjo+cD7ImKPcoT5bWV5reN9nmaH5ZsR8aRSPNL7vwfNZ7ie5qjh31dWbR/gTRExPSJeSbPefDUz76LZ0fxwRMyJiJ6IeFJEDG5yH1Y5sj2wg/o0mm5EF5TX+SDNVZneExG7R9O16FiakyKhOfL+jIhYGhEzafovr87MHw+zuHeU+zfQ7ASfG8Nc8z0iXhERs8trOoqmO9uFZfClNN+FN0Vzeb+/KOXfKvfnAidExMERMZfmHJxz2n1PdsLnaFoP/5ihj45C0z/7gYg4paznu0XEMyLi2aPNPDPPKPNdGc2Vsh5D82O5DtgWES+hOUehXSN+H4uv8siuGxPRHjTnkm0q6+9Jg4Zto3mfpkXEO3nkEcghlSPQTy3r3zyarnaXZtNt6dG6CHhKRPxJ+U5Pj4hnx/AtsK31enap23Sac5u2AA+VQPtx4B8jYp8y7oKRjmB3yceBN5bXEGW78rKIGGj9amfdPI9mfT+JYb5vj2bbuBPb99HcAxwQEYP3136fpgvcI0RzWe6Xld+hnvIdP4TmxPuBeba+Tzu9rhc7vU7StBb/QWl92J2mVftLwxxQGXh9M2m2YQAzyvMB5wJ/U/ZHnkbTHe6cnVz2SPO6lJF/R6YMg8TksYymO8dtmXn3wI2mmfqP45GXn+uhOWHqTpqTrn6f5mRkaFb064G7I2Kgm9Sf0+zwbaTZoTu/om7vpukucyvNxvffRx6ddwHLo2kCfVVmrqTZAV1BcwTgSezYF3WH8YeY32aacxHupjmydjLNybW3lOHvp9kY3BcRf53NeRzH0mzs19EcTfk/jM334S9pfqBvoTnx7nM0J9TuIJu+ve8BvhXNuSAjvf/n0ry/d9CchPmDyjpdTnO+wC9oun29ouXo+mtpdixvoGnF+SI7dvEazQuB1RHxIM3O45fYMej8Oc0JhPfSHAk8Kcu5Opm5jua8iveVZf82O37uD4uIw2hC2WtLYPsAzVG14fr9vpnm/bqP5uopf5rlsrSly8Fx5bXfRxNMjhvoipCZXwPOAL5N877/HPjbdt+QWpl5Oc0683iG2TEor/kPaA4g3ErzWX6CpoWqnWW8l+bk0W/SdNl4E806toFmp+bCYSd+pE8CB5fv01eGGedsmu3SWByB76S/pnn9G2l2UlsvP/x1ms/jJzTrwBZG6erX4ok0XYM20pwz08eO58LstLKTcxTNd+VOmu3eB9i+YzWSOTSvcwPNa1pPE8qhOSK9BvhBNN28vkn7feTHRWauotmZ+wjNa1hDcyLwgB229cPM4y6aK3U9h5EvN73T28bK7ftovlDu10fEVdAEQuDBbC4DO5QHaH7fbqPZxp1Bs+0d+P+ofwZeEc3/UZ3Jo1vXH9U6WX4P3kizU38vTaj58xEn2n5lLmhaFFvP3/tbmhbRn9OcH/LBsk0HIJpuUr/b5rKHnddovyNTSeQOXacl7Uoi4nU0V+d4brfroqklIj5Hc2GIr3S7LtKuJCJWAJ/M5vwvqau6/adFkqRdUGbWdN+Q1KbMHO7P2KRxZ9cmSZIkSdXs2iRJkiSpmi0SkiRJkqoZJCRJkiRV22VPtt57773zgAMO6HY1JEmSpEnryiuv/EVmzh9q2C4bJA444ABWrVrV7WpIkiRJk1ZE/Hy4YXZtkiRJklTNICFJkiSpmkFCkiRJUjWDhCRJkqRqBglJkiRJ1QwSkiRJkqoZJCRJkiRVM0hIkiRJqmaQkCRJklTNICFJkiSpmkFCkiRJUjWDhCRJkqRqBglJkiRJ1QwSkiRJkqoZJCRJkiRVM0hIkiRJqmaQkCRJklTNICFJkiSpmkFCkiRJUjWDhCRJkqRqBglJkiRJ1QwSkiRJkqoZJCRJkiRVM0hIkiRJqmaQkCRJklTNICFJkiSpmkFCkiRJUjWDRIes39THNbffx/pNfd2uiiRJkjTmOhokIuKtEXF9RFwXEZ+PiJkRsVdEXBIRN5f7uS3jnxYRayLipog4uqX8sIi4tgw7MyKik/V+tC64+g6O/MC3eM0nLufID3yLC6++o9tVkiRJksZUx4JERCwA3gT0ZuYzgN2A44FTgZWZeRCwsjwnIg4uww8BjgE+FhG7ldmdBZwIHFRux3Sq3o/W+k19nLJiNVu29rOxbxtbtvbz9hWrbZmQJEnSLqXTXZumAbMiYhrwWOBO4FhgeRm+HDiuPD4WOC8z+zLzVmANcHhE7AfMyczLMjOBc1ummXDWbtjM9J4d39bpPT2s3bC5SzWSJEmSxl7HgkRm3gF8CLgNuAu4PzO/AeybmXeVce4C9imTLABub5nF2lK2oDweXD4hLZw7i639/TuUbe3vZ+HcWV2qkSRJkjT2Otm1aS5NK8OBwOOB3SPiNSNNMkRZjlA+1DJPjIhVEbFq3bp1tVUeE/Nmz+CMpYuYOb2HPWZMY+b0Hs5Yuoh5s2d0pT6SJElSJ0zr4LxfBNyamesAIuJLwHOAeyJiv8y8q3RbureMvxbYv2X6hTRdodaWx4PLHyEzzwbOBujt7R0ybIyHJYsXcOST92bths0snDvLECFJkqRdTifPkbgNOCIiHluusvRC4EbgQmBZGWcZcEF5fCFwfETMiIgDaU6qvqJ0f9oYEUeU+by2ZZoJa97sGRy6/56GCEmSJO2SOtYikZmXR8QXgauAbcCPaFoLZgPnR8QJNGHjlWX86yPifOCGMv7JmflQmd1JwDnALODicpMkSZLUJdFcCGnX09vbm6tWrep2NSRJkqRJKyKuzMzeoYb5z9aSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFXrWJCIiKdGxNUttwci4i0RsVdEXBIRN5f7uS3TnBYRayLipog4uqX8sIi4tgw7MyKiU/WWJEmSNLqOBYnMvCkzF2fmYuAw4FfAl4FTgZWZeRCwsjwnIg4GjgcOAY4BPhYRu5XZnQWcCBxUbsd0qt6SJEmSRjdeXZteCPw0M38OHAssL+XLgePK42OB8zKzLzNvBdYAh0fEfsCczLwsMxM4t2UaSZIkSV0wXkHieODz5fG+mXkXQLnfp5QvAG5vmWZtKVtQHg8ulyRJktQlHQ8SEfEYYAnwhdFGHaIsRygfalknRsSqiFi1bt26uopKkiRJatt4tEi8BLgqM+8pz+8p3ZUo9/eW8rXA/i3TLQTuLOULhyh/hMw8OzN7M7N3/vz5Y/gSJEmSJLUajyDxh2zv1gRwIbCsPF4GXNBSfnxEzIiIA2lOqr6idH/aGBFHlKs1vbZlGkmSJEldMK2TM4+IxwIvBv6spfh04PyIOAG4DXglQGZeHxHnAzcA24CTM/OhMs1JwDnALODicpMkSZLUJdFcCGnX09vbm6tWrep2NSRJkqRJKyKuzMzeoYb5z9aSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqnU0SETEnhHxxYj4cUTcGBG/ExF7RcQlEXFzuZ/bMv5pEbEmIm6KiKNbyg+LiGvLsDMjIjpZb0mSJEkj63SLxD8DX8vMpwGHAjcCpwIrM/MgYGV5TkQcDBwPHAIcA3wsInYr8zkLOBE4qNyO6XC9JUmSJI2gY0EiIuYAvwd8EiAzf52Z9wHHAsvLaMuB48rjY4HzMrMvM28F1gCHR8R+wJzMvCwzEzi3ZRpJkiRJXdDJFoknAuuAT0fEjyLiExGxO7BvZt4FUO73KeMvAG5vmX5tKVtQHg8ulyRJktQlnQwS04BnAWdl5jOBByndmIYx1HkPOUL5I2cQcWJErIqIVevWrautryRJkqQ2dTJIrAXWZubl5fkXaYLFPaW7EuX+3pbx92+ZfiFwZylfOET5I2Tm2ZnZm5m98+fPH7MXIkmSJGlHHQsSmXk3cHtEPLUUvRC4AbgQWFbKlgEXlMcXAsdHxIyIOJDmpOorSvenjRFxRLla02tbppEkSZLUBdM6PP+/BD4bEY8BbgFeTxNezo+IE4DbgFcCZOb1EXE+TdjYBpycmQ+V+ZwEnAPMAi4uN0mSJEldEs2FkHY9vb29uWrVqm5XQ5IkSZq0IuLKzOwdapj/bC1JkiSpmkFCkiRJUjWDhCRJkqRqBglJkiRJ1QwSkiRJkqoZJCRJkiRVM0hIkiRJqmaQkCRJklTNICFJkiSpmkFCkiRJUjWDhCRJkqRqBglJkiRJ1QwSkiRJkqoZJCRJkiRVM0hIkiRJqmaQkCRJklTNICFJkiSpmkFCkiRJUjWDhCRJkqRqBglJkiRJ1QwSkiRJkqoZJCRJkiRVM0hIkiRJqmaQkCRJklTNICFJkiSpmkFCkiRJUjWDhCRJkqRqBglJkiRJ1QwSkiRJkqoZJCRJkiRVM0hIkiRJqmaQkCRJklTNICFJkiSpmkFCkiRJUjWDhCRJkqRqBglJkiRJ1QwSkiRJkqoZJCRJkiRVM0hIkiRJqmaQkCRJklTNICFJkiSpmkFCkiRJUjWDhCRJkqRqBglJkiRJ1QwSkiRJkqoZJCRJkiRVM0hIkiRJqmaQkCRJklTNICFJkiSpmkFCkiRJUjWDhCRJkqRqBglJkiRJ1QwSkiRJkqoZJCRJkiRVM0hIkiRJqmaQkCRJklTNICFJkiSpmkFCkiRJUjWDhCRJkqRqBglJkiRJ1QwSkiRJkqoZJCRJkiRVM0hIkiRJqmaQkCRJklTNICFJkiSpmkFCkiRJUjWDhCRJkqRqBglJkiRJ1QwSkiRJkqoZJCRJkiRVM0hIkiRJqmaQkCRJklTNICFJkiSpmkFCkiRJUrVp7YwUEb3A7wKPBzYD1wHfzMxfjjLdz4CNwEPAtszsjYi9gP8ADgB+BrwqMzeU8U8DTijjvykzv17KDwPOAWYBXwXenJlZ8TolSZIkjaERWyQi4nURcRVwGs1O/E3AvcBzgUsiYnlE/OYoy3h+Zi7OzN7y/FRgZWYeBKwsz4mIg4HjgUOAY4CPRcRuZZqzgBOBg8rtmLqXKUmSJGksjdYisTtwZGZuHmpgRCym2bG/rWKZxwLPK4+XA5cCp5Ty8zKzD7g1ItYAh5dWjTmZeVlZ5rnAccDFFcuUJEmSNIZGbJHIzI8Cv46Itw4z/OrMXDnSLIBvRMSVEXFiKds3M+8q098F7FPKFwC3t0y7tpQtKI8Hlz9CRJwYEasiYtW6detGemmSJEmSHoVRT7bOzIdoWgt2xpGZ+SzgJcDJEfF7I4wbQy1+hPJHFmaenZm9mdk7f/78+tpKkiRJaktbJ1sD34+Ij9CcJP3gQGFmXjXSRJl5Z7m/NyK+DBwO3BMR+2XmXRGxH805F9C0NOzfMvlC4M5SvnCIckmSJEld0u7lX59DcxL0e4APl9uHRpogInaPiD0GHgNH0Vzt6UJgWRltGXBBeXwhcHxEzIiIA2nOvbiidH/aGBFHREQAr22ZRpIkSVIXtNUikZnP34l57wt8udn3Zxrwucz8WkT8EDg/Ik6gOUn7lWUZ10fE+cANwDbg5NKtCuAktl/+9WI80VqSJEnqqmjn7xgiYl/g74HHZ+ZLyqVafyczP9npCu6s3t7eXLVqVberIUmSJE1aEXFly9847KDdrk3nAF+n+UM6gJ8Ab3nUNZMkSZI0KbUbJPbOzPOBfoDM3Ebz79OSJEmSpqB2g8SDETGPctnViDgCuL9jtZIkSZI0obV7+de30VxV6UkR8X1gPuUkaUmSJElTT7tB4nrg94Gn0vxB3E2035ohSZIkaRfTbhi4LDO3Zeb1mXldZm4FLutkxSRJkiRNXCO2SETEbwALgFkR8Uya1giAOcBjO1w3SZIkSRPUaF2bjgZeBywE/qGl/AHgHR2qkyRJkqQJbsQgkZnLgeURsTQzV4xTnSRJkiRNcO2eI/H9iPhkRFwMEBEHR8QJHayXJEmSpAms3SDxafxna0mSJEmF/2wtSZIkqZr/bC1JkiSp2qP5Z+tXdKxWkiRJkia0toJEZl4VETv8s3X5UzpJkiRJU1BbQSIidgNeChxQpjkqIsjMfxhxQkmSJEm7pHa7Nv0nsAW4lnLCtSRJkqSpq90gsTAzF3W0JpIkSZImjXav2nRxRBzV0ZpIkiRJmjTabZH4AfDliOgBttKccJ2ZOadjNZMkSZI0YbUbJD4M/A5wbWZmB+sjSZIkaRJot2vTzcB1hghJkiRJ0H6LxF3ApRFxMdA3UOjlXyVJkqSpqd0gcWu5PabcJEmSJE1h7f6z9bs7XRFJkiRJk8eI50hExNkR8VvDDNs9It4QEX/cmapJkiRJmqhGa5H4GPD/Spi4DlgHzAQOAuYAnwI+29EaSpIkSZpwRgwSmXk18KqImA30AvsBm4EbM/OmzldPkiRJ0kTU7jkSm4BLO1sVSZIkSZNFu/8jIUmSJEkPM0hIkiRJqmaQkCRJklRtxHMkIuI/gRxueGYuGfMaSZIkSZrwRjvZ+kPjUgtJkiRJk8pol3/9znhVRJIkSdLk0dblXyPiIOD9wME0f0gHQGY+sUP1kiRJkjSBtXuy9aeBs4BtwPOBc4F/71SlJEmSJE1s7QaJWZm5EojM/Hlmvgt4QeeqJUmSJGkia6trE7AlInqAmyPiL4A7gH06Vy1JkiRJE1m7LRJvAR4LvAk4DPgTYFmH6iRJkiRpgmurRSIzf1gebgJe37nqSJIkSZoM2r1q03zgFB551SbPk5AkSZKmoHa7Nn0WuBE4EHg38DPghyNNIEmSJGnX1W6QmJeZnwS2ZuZ3MvMNwBEdrJckSZKkCazdqzZtLfd3RcTLgDuBhZ2pkiRJkqSJrt0g8XcR8Tjgr4B/AebQXMlJkiRJ0hTUbpC4LjPvB+6n+WdrIuLZHauVJEmSpAmt3XMkVkTEgoEnEfF7wKc6UyVJkiRJE127QeKNwFci4jci4qXAmcBLO1ctSZIkSRNZ239IFxFvAr4BbAFenJnrOlozSZIkSRPWiEEiIv4TyJaix9KcJ/HJiCAzl3SycpIkSZImptFaJD40LrWQJEmSNKmMGCQy8zsDjyNiX2DgSk1XZOa9nayYJEmSpImrrZOtI+JVwBXAK4FXAZdHxCs6WTFJkiRJE1e7/yPxf4FnD7RCRMR84JvAFztVMUmSJEkTV7uXf+0Z1JVpfcW0kiRJknYx7bZIfC0ivg58vjx/NfDVzlRJkiRJ0kTX7v9I/J+IWAocCQRwdmZ+uaM1kyRJkjRhtdsiQWauAFZ0sC6SJEmSJonR/pBuIzv+Id3Dg4DMzDkdqZUkSZKkCW20/5HYY7wqIkmSJGnyaLtrU0TMBfZvnSYzr+pEpSRJkiRNbG0FiYh4L/A64BagvxQn8ILOVEuSJEnSRNZui8SrgCdl5q87WRlJkiRJk0O7fyp3HbBnB+shSZIkaRJpt0Xi/cCPIuI6oG+gMDOXdKRWkiRJkia0doPEcuADwLVsP0dCkiRJ0hTVbpD4RWae2dGaSJIkSZo02g0SV0bE+4EL2bFrk5d/lSRJkqagdoPEM8v9ES1lXv5VkiRJmqLaChKZ+fxOV0SSJEnS5NHW5V8jYt+I+GREXFyeHxwRJ3S2apIkSZImqnb/R+Ic4OvA48vznwBv6UB9JEmSJE0C7QaJvTPzfMqlXzNzG/BQOxNGxG4R8aOIuKg83ysiLomIm8v93JZxT4uINRFxU0Qc3VJ+WERcW4adGRHR9iuUJEmSNObaDRIPRsQ8mhOsiYgjgPvbnPbNwI0tz08FVmbmQcDK8pyIOBg4HjgEOAb4WETsVqY5CzgROKjcjmlz2ZIkSZI6oN0g8TaaS78+KSK+D5wLvGm0iSJiIfAy4BMtxcfS/MEd5f64lvLzMrMvM28F1gCHR8R+wJzMvCwzsyz7OCRJkiR1TbuXf70e+H3gqUAAN9FeCPkn4O3AHi1l+2bmXQCZeVdE7FPKFwA/aBlvbSnbWh4PLpckSZLUJe22SFyWmdsy8/rMvC4ztwKXjTRBRLwcuDczr2xzGUOd95AjlA+1zBMjYlVErFq3bl2bi5UkSZJUa8QWiYj4DZqj/7Mi4pls36mfAzx2lHkfCSyJiJcCM4E5EfEZ4J6I2K+0RuwH3FvGXwvs3zL9QuDOUr5wiPJHyMyzgbMBent7hwwbkiRJkh690VokjgY+RLPz/uGW29uAd4w0YWaelpkLM/MAmpOov5WZr6E512JZGW0ZcEF5fCFwfETMiIgDaU6qvqJ0g9oYEUeUqzW9tmUaSZIkSV0wYotEZi4HlkfE0sxcMUbLPB04v/yh3W3AK8uyro+I84EbgG3AyZk5cInZk2j+y2IWcHG5SZIkSeqSdk+2XhgRc4CNwMeBZwGnZuY32pk4My8FLi2P1wMvHGa89wHvG6J8FfCMNusqSZIkqcPaPdn6DZn5AHAUsA/wepqWBUmSJElTULtBYuAk65cCn87Maxj6akqSJEmSpoB2g8SVEfENmiDx9YjYA+jvXLUkSZIkTWTtniNxArAYuCUzfxUR82i6N0mSJEmagtoKEpnZD1zV8nw9sL5TlZIkSZI0sbXbtUmSJEmSHmaQkCRJklStrSAREf/eTpkkSZKkqaHdFolDWp9ExG7AYWNfHUmSJEmTwYhBIiJOi4iNwKKIeCAiNpbn9wIXjEsNJUmSJE04IwaJzHx/Zu4BfDAz52TmHuU2LzNPG6c6SpIkSZpg2r3862kRsQT4vVJ0aWZe1LlqSZIkSZrI2j3Z+v3Am4Ebyu3NpUySJEnSFNTuP1u/DFhc/piOiFgO/Aiwe5MkSZI0BdX8j8SeLY8fN8b1kCRJkjSJtNsi8X7gRxHxbSBozpV4R8dqJUmSJGlCa/dk689HxKXAs2mCxCmZeXcnKyZJkiRp4mr3ZOuVmXlXZl6YmRdk5t0RsbLTlZMkSZI0MY3YIhERM4HHAntHxFya1giAOcDjO1w3SZIkSRPUaF2b/gx4C01ouJLtQeIB4KOdq5YkSZKkiWzEIJGZ/wz8c0T8ZWb+yzjVSZIkSdIE19Y5EoYISZIkSa1q/kdCkiRJkgCDhCRJkqSdMNpVm5410vDMvGpsqyNJkiRpMhjtqk0fLvczgV7gGporNy0CLgee27mqSZIkSZqoRuzalJnPz8znAz8HnpWZvZl5GPBMYM14VFCSJEnSxNPuORJPy8xrB55k5nXA4o7USJIkSdKEN1rXpgE3RsQngM8ACbwGuLFjtZIkSZI0obUbJF4PnAS8uTz/LnBWR2okSZIkacJrK0hk5hbgH8tNkiRJ0hTXVpCIiCOBdwFPaJ0mM5/YmWpJkiRJmsja7dr0SeCtwJXAQ52rjiRJkqTJoN0gcX9mXtzRmkiSJEmaNNoNEt+OiA8CXwL6Bgr9Z2tJkiRpamo3SPx2ue9tKUvgBWNbHUmSJEmTQbtXbXp+pysiSZIkafJot0WCiHgZcAgwc6AsM9/TiUpJkiRJmth62hkpIv4VeDXwl0AAr6S5FKwkSZKkKaitIAE8JzNfC2zIzHcDvwPs37lqSZIkSZrI2g0Sm8v9ryLi8cBW4MDOVEmSJEnSRNfuORIXRcSewAeBq2iu2PSJTlVKkiRJ0sTWbpA4IzP7gBURcRHNCddbOlctSZIkSRNZu12bLht4kJl9mXl/a5kkSZKkqWXEFomI+A1gATArIp5Jc8UmgDnAYztcN0mSJEkT1Ghdm44GXgcsBD7M9iCxEXhH56olSZIkaSIbMUhk5nJgeUQszcwV41QnSZIkSRNcu+dILIyIOdH4RERcFRFHdbRmkiRJkiasdoPEGzLzAeAoYB/g9cDpHauVJEmSpAmt3SAxcG7ES4FPZ+Y1LWWSJEmSpph2g8SVEfENmiDx9YjYA+jvXLUkSZIkTWSjXf71yMz8PnAy8DTglsz8VUTMo+neJEmSJGkKGq1F4sxy/9+ZeVVm3geQmeszc3VHayZJkiRpwhrtfyS2RsSngQURcebggZn5ps5US5IkSdJENlqQeDnwIuAFwJWDhmVHaiRJkiRpwhvtD+l+AZwXETeWKzUBEBHPBf4QOLfD9ZMkSZI0AY3WIgFAZl4TEYuBPwJeBdwK+E/XkiRJ0hQ12lWbngIcT9P6sB74DyAy8/njUDdJkiRJE9RoLRI/Br4H/EFmrgGIiLd2vFaSJEmSJrTRLv+6FLgb+HZEfDwiXoj/aC1JkiRNeSMGicz8cma+mubP6C4F3grsGxFnRcRR41A/SZIkSRPQaC0SAGTmg5n52cx8ObAQuBo4tZMVkyRJkjRxtRUkWmXmLzPz3zLzBZ2okCRJkqSJrzpISJIkSZJBQpIkSVI1g4QkSZKkagYJSZIkSdUMEpIkSZKqGSQkSZIkVTNISJIkSapmkJAkSZJUzSAhSZIkqZpBQpIkSVK1jgWJiJgZEVdExDURcX1EvLuU7xURl0TEzeV+bss0p0XEmoi4KSKObik/LCKuLcPOjIjoVL0lSZIkja6TLRJ9wAsy81BgMXBMRBwBnAqszMyDgJXlORFxMHA8cAhwDPCxiNitzOss4ETgoHI7poP1liRJkjSKjgWJbGwqT6eXWwLHAstL+XLguPL4WOC8zOzLzFuBNcDhEbEfMCczL8vMBM5tmUaSJElSF3T0HImI2C0irgbuBS7JzMuBfTPzLoByv08ZfQFwe8vka0vZgvJ4cLkkSZKkLulokMjMhzJzMbCQpnXhGSOMPtR5DzlC+SNnEHFiRKyKiFXr1q2rrq8kSZKk9ozLVZsy8z7gUppzG+4p3ZUo9/eW0dYC+7dMthC4s5QvHKJ8qOWcnZm9mdk7f/78sXwJkiRJklp08qpN8yNiz/J4FvAi4MfAhcCyMtoy4ILy+ELg+IiYEREH0pxUfUXp/rQxIo4oV2t6bcs0kiRJkrpgWgfnvR+wvFx5qQc4PzMviojLgPMj4gTgNuCVAJl5fUScD9wAbANOzsyHyrxOAs4BZgEXl5skSZKkLonmQki7nt7e3ly1alW3qyFJkiRNWhFxZWb2DjXMf7aWJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBIdsn5TH9fcfh/rN/V1uyqSJEnSmJvW7Qrsii64+g5OWbGa6T09bO3v54yli1iyeEG3qyVJkiSNGVskxtj6TX2csmI1W7b2s7FvG1u29vP2FattmZAkSdIuxSAxxtZu2Mz0nh3f1uk9PazdsLlLNZIkSZLGnkFijC2cO4ut/f07lG3t72fh3FldqpEkSZI09gwSY2ze7BmcsXQRM6f3sMeMacyc3sMZSxcxb/aMbldNkiRJGjOebN0BSxYv4Mgn783aDZtZOHeWIUKSJEm7HINEh8ybPcMAIUmSpF2WXZskSZIkVTNISJIkSapmkJAkSZJUzSAhSZIkqZpBQpIkSVI1g4QkSZKkagYJSZIkSdUMEpIkSZKqGSQkSZIkVTNISJIkSapmkJAkSZJUzSAhSZIkqZpBQpIkSVI1g4QkSZKkagYJSZIkSdUMEpIkSZKqGSQkSZIkVTNISJIkSapmkJAkSZJUzSAhSZIkqZpBQpIkSVK1jgWJiNg/Ir4dETdGxPUR8eZSvldEXBIRN5f7uS3TnBYRayLipog4uqX8sIi4tgw7MyKiU/WWJEmSNLpOtkhsA/4qM58OHAGcHBEHA6cCKzPzIGBleU4ZdjxwCHAM8LGI2K3M6yzgROCgcjumg/WWJEmSNIqOBYnMvCszryqPNwI3AguAY4HlZbTlwHHl8bHAeZnZl5m3AmuAwyNiP2BOZl6WmQmc2zKNJEmSpC4Yl3MkIuIA4JnA5cC+mXkXNGED2KeMtgC4vWWytaVsQXk8uFySJElSl3Q8SETEbGAF8JbMfGCkUYcoyxHKh1rWiRGxKiJWrVu3rr6ykiRJktrS0SAREdNpQsRnM/NLpfie0l2Jcn9vKV8L7N8y+ULgzlK+cIjyR8jMszOzNzN758+fP3YvRJIkSdIOOnnVpgA+CdyYmf/QMuhCYFl5vAy4oKX8+IiYEREH0pxUfUXp/rQxIo4o83xtyzSSJEmSumBaB+d9JPAnwLURcXUpewdwOnB+RJwA3Aa8EiAzr4+I84EbaK74dHJmPlSmOwk4B5gFXFxukiRJkrokmgsh7Xp6e3tz1apV3a6GJEmSNGlFxJWZ2TvUMP/ZWpIkSVI1g4QkSZKkagYJSZIkSdUMEpIkSZKqGSQkSZIkVTNISJIkSapmkJAkSZJUzSAhSZIkqZpBQpIkSVI1g4QkSZKkagYJSZIkSdUMEpIkSZKqGSQkSZIkVTNISJIkSapmkJAkSZJUzSAhSZIkqZpBQpIkSVI1g4QkSZKkagYJSZIkSdUMEpIkSZKqGSQkSZIkVTNISJIkSapmkJAkSZJUzSAxha3f1Mc1t9/H+k193a6KJEmSJplp3a6AuuOCq+/glBWrmd7Tw9b+fs5Yuoglixd0u1qSJEmaJGyRmILWb+rjlBWr2bK1n41929iytZ+3r1hty4QkSZLaZpCYgtZu2Mz0nh0/+uk9PazdsLlLNZIkSdJkY5CYghbOncXW/v4dyrb297Nw7qwu1UiSJEmTjUFiCpo3ewZnLF3EzOk97DFjGjOn93DG0kXMmz2j21WTJEnSJOHJ1lPUksULOPLJe7N2w2YWzp1liJAkSVIVg8QUNm/2DAOEJEmSdopdmyRJkiRVM0hIkiRJqmaQkCRJklTNICFJkiSpmkFCkiRJUjWDhCRJkqRqBglJkiRJ1QwSkiRJkqoZJCRJkiRVM0hIkiRJqmaQkCRJklTNINEF6zf1cc3t97F+U1+3qyJJkiTtlGndrsBUc8HVd3DKitVM7+lha38/ZyxdxJLFC7pdLUmSJKmKLRLjaP2mPk5ZsZotW/vZ2LeNLVv7efuK1Q+3TNhSIUmSpMnCFolxtHbDZqb39LCF/ofLpvf0sHbDZv57zS9sqZAkSdKkYYvEOFo4dxZb+/t3KNva38/uj9ltxJYKSZIkaaIxSHTIUN2U5s2ewRlLFzFzeg97zJjGzOk9nLF0EQ/++iGm9+z4UQy0VEjSWLILpSRprNi1qQNGOqF6yeIFHPnkvVm7YTML585i3uwZrN/UN2RLxcK5s7pRfUm7KC/2IEkaS7ZIjLHRTqiGpmXi0P33ZN7sGQ8/H6qlYmC4JD1a7WybJEmqYYvEGBvphOqRgsFQLRWSNFZ2dtskSdJwDBJjbLgTqtvppjRv9gx/0CV1xKPZNkmSNBS7No0xuylJmojcNkmSxlpkZrfr0BG9vb25atWqri1//aY+uylJmnDcNkmSakTElZnZO9QwuzZ1iN2UJE1EbpskSWPFrk2SJEmSqhkkJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmSJEnVDBKSJEmSqhkkumD9pj6uuf0+1m/q63ZVJEmSpJ0yrdsVmGouuPoOTlmxmuk9PWzt7+eMpYtYsnhBt6slSZIkVbFFYhyt39THKStWs2VrPxv7trFlaz9vX7HalglJkiRNOgaJcbR2w2am9+z4lk/v6WHths1dqpEkSZK0cwwS42jh3Fls7e/foWxrfz8L587qUo0kSZKknWOQGEfzZs/gjKWLmDm9hz1mTGPm9B7OWLqIebNndLtqkiRJUhVPth5nSxYv4Mgn783aDZtZOHeWIUKSJEmTkkGiC+bNnmGAkCRJ0qRm1yZJkiRJ1ToWJCLiUxFxb0Rc11K2V0RcEhE3l/u5LcNOi4g1EXFTRBzdUn5YRFxbhp0ZEdGpOkuSJElqTydbJM4BjhlUdiqwMjMPAlaW50TEwcDxwCFlmo9FxG5lmrOAE4GDym3wPCVJkiSNs44Ficz8LvDLQcXHAsvL4+XAcS3l52VmX2beCqwBDo+I/YA5mXlZZiZwbss0kiRJkrpkvM+R2Dcz7wIo9/uU8gXA7S3jrS1lC8rjweWSJEmSumiinGw91HkPOUL50DOJODEiVkXEqnXr1o1Z5SRJkiTtaLyDxD2luxLl/t5SvhbYv2W8hcCdpXzhEOVDysyzM7M3M3vnz58/phWXpKls/aY+rrn9PtZv6ut2VSRJE8R4B4kLgWXl8TLggpby4yNiRkQcSHNS9RWl+9PGiDiiXK3ptS3TSJLGwQVX38GRH/gWr/nE5Rz5gW9x4dV3dLtKkqQJoJOXf/08cBnw1IhYGxEnAKcDL46Im4EXl+dk5vXA+cANwNeAkzPzoTKrk4BP0JyA/VPg4k7VWZK0o/Wb+jhlxWq2bO1nY982tmzt5+0rVtsyIUnq3D9bZ+YfDjPohcOM/z7gfUOUrwKeMYZVkyS1ae2GzUzv6WEL/Q+XTe/pYe2GzcybPaOLNZMkddtEOdlakjQBLZw7i639/TuUbe3vZ+HcWV2qkSRpojBISJKGNW/2DM5YuoiZ03vYY8Y0Zk7v4Yyli2yNkCR1rmuTJGnXsGTxAo588t6s3bCZhXNnGSIkSYBBYpe3flOfP/6SHrV5s2e4DZEk7cAgsQu74Oo7OGXFaqb39LC1v58zli5iyWL/GFySJEmPnudI7KK8ZKMkSZI6ySCxixq4ZGOrgUs2SpIkSY+WQWIX5SUbJUmS1EkGiV2Ul2yUJElSJ3my9S7MSzZKkiSpUwwSuzgv2ShJkqROsGuTJEmSpGoGCUmSJEnVDBKSJEmSqhkkumD9pj6uuf0+/xxOkiRJk5YnW4+zC66+g1NWrGZ6Tw9b+/s5Y+kilixe0O1qSZIkSVVskRhH6zf1ccqK1WzZ2s/Gvm1s2drP21estmVCkiRJk45BYhyt3bCZ6T07vuXTe3pYu2Fzl2okSZIk7RyDxDhaOHcWW/v7dyjb2t/PwrmzulQjSZIkaecYJMbRvNkzeFXvwh3KXtW7sK0/jPMEbUmSJE0knmw9jtZv6uP8VWt3KDt/1Vre/MKnjBgmPEFbkiRJE40tEuNoZ86R8ARtafKw5VCSNJXYIjGOduYciYHwsYXt0w2Ej3a6REkaH7YcSpKmGlskxtG82TM4Y+kiZk7vYY8Z05g5vYczli4aMRB4grY08dlyKEmaimyRGGdLFi/gyCfvzdoNm1k4d9aorQoD4ePtg4502hohTRy2HEqSpiKDRBfMmz2jaueiNnxIGl+2HEqSpiK7Nk0S82bP4ND99zRESBPQznRblCRpsrNFQpLGgC2HkqSpxiAhSWOkttuiJEmTmV2bJEmSJFUzSEiSJEmqZpCQJEmSVM0gIUmSJKmaQUKSJElSNYOEJEmSpGoGCUmqsH5TH9fcfh/rN/V1uyqSJHWV/yMhSW264Oo7OGXFaqb39LC1v58zli5iyeIF3a6WJEldYYuEJLVh/aY+Tlmxmi1b+9nYt40tW/t5+4rVtkxIkqYsg4QktWHths1M79lxkzm9p4e1GzZ3qUaSJHWXQUKS2rBw7iy29vfvULa1v5+Fc2d1qUaSJHWXQUKS2jBv9gzOWLqImdN72GPGNGZO7+GMpYuYN3tGt6smSVJXeLK1JLVpyeIFHPnkvVm7YTML584yREiSpjSDhCRVmDd7hgFCqrR+U58BXNoFGSQkSVLHeNlkadflORKSJKkjvGyytGszSEiTjP+sLGmy8LLJ0q7Nrk3SJGIXAUmTiZdNlnZttkhIk4RdBCRNNl42Wdq12SIhTRIDXQS2sP3o3kAXAX+UJU1UXjZZ2nUZJKRJwi4CkiYrL5ss7Zrs2iRNEnYRkCRJE4ktEpOEf+YjsIuAJEmaOAwSk4BX6lEruwhIkqSJwK5NE5xX6pEkSZp6JsP/RtkiMcF5pR5JkqSpZbL0RrFFYoLzSj2SJElTx2TqjWKQmOC8Uo80sUyGpmZJ0uQ10Bul1UBvlInGrk2TgFfqkSaGydLULEmavCZTbxRbJCaJebNncOj+exoipC6ZTE3NkqTJazL1RrFFQpLa4IUPJEnjZbL0RjFISFIbJlNTsyRp8psM/xtl1yZJasNkamqWJGk82CIhSW2aLE3NkiSNB4OEJFWYDE3NkiSNB7s2SZIkSapmkJAkSZJUzSAhSZIkqZpBQpIkSVI1g4QkSZKkagYJSZIkSdUMEpIkSZKqGSQkSZIkVTNISJIkSapmkJAkSZJUbdIEiYg4JiJuiog1EXFqt+sjSZIkTWWTIkhExG7AR4GXAAcDfxgRB3e3VpIkSdLUNSmCBHA4sCYzb8nMXwPnAcd2uU6SJEnSlDVZgsQC4PaW52tL2Q4i4sSIWBURq9atWzdulZMkSZKmmskSJGKIsnxEQebZmdmbmb3z588fh2pJkiRJU9NkCRJrgf1bni8E7uxSXSRJkqQpb7IEiR8CB0XEgRHxGOB44MIu10mSJEmasqZ1uwLtyMxtEfEXwNeB3YBPZeb1Xa6WJEmSNGVNiiABkJlfBb7a7XpIkiRJmjxdmyRJkiRNIAYJSZIkSdUMEpIkSZKqGSQkSZIkVTNISJIkSapmkJAkSZJUzSAhSZIkqZpBQpIkSVK1yMxu16EjImId8PNxWNTewC/GYTmavFxH1A7XE43GdUSjcR1RO2rXkydk5vyhBuyyQWK8RMSqzOztdj00cbmOqB2uJxqN64hG4zqidozlemLXJkmSJEnVDBKSJEmSqhkkHr2zu10BTXiuI2qH64lG4zqi0biOqB1jtp54joQkSZKkarZISJIkSapmkNhJEXFMRNwUEWsi4tRu10fdExGfioh7I+K6lrK9IuKSiLi53M9tGXZaWW9uioiju1NrjaeI2D8ivh0RN0bE9RHx5lLueiIAImJmRFwREdeUdeTdpdx1RDuIiN0i4kcRcVF57jqiHUTEzyLi2oi4OiJWlbKOrCcGiZ0QEbsBHwVeAhwM/GFEHNzdWqmLzgGOGVR2KrAyMw8CVpbnlPXkeOCQMs3HyvqkXds24K8y8+nAEcDJZV1wPdGAPuAFmXkosBg4JiKOwHVEj/Rm4MaW564jGsrzM3Nxy2VeO7KeGCR2zuHAmsy8JTN/DZwHHNvlOqlLMvO7wC8HFR8LLC+PlwPHtZSfl5l9mXkrsIZmfdIuLDPvysyryuONNDsBC3A9UZGNTeXp9HJLXEfUIiIWAi8DPtFS7DqidnRkPTFI7JwFwO0tz9eWMmnAvpl5FzQ7kcA+pdx1Z4qLiAOAZwKX43qiFqXLytXAvcAlmek6osH+CXg70N9S5jqiwRL4RkRcGREnlrKOrCfTxqCyU1EMUeblr9QO150pLCJmAyuAt2TmAxFDrQ7NqEOUuZ7s4jLzIWBxROwJfDkinjHC6K4jU0xEvBy4NzOvjIjntTPJEGWuI1PDkZl5Z0TsA1wSET8eYdxHtZ7YIrFz1gL7tzxfCNzZpbpoYronIvYDKPf3lnLXnSkqIqbThIjPZuaXSrHriR4hM+8DLqXpr+w6ogFHAksi4mc0XapfEBGfwXVEg2TmneX+XuDLNF2VOrKeGCR2zg+BgyLiwIh4DM1JKhd2uU6aWC4ElpXHy4ALWsqPj4gZEXEgcBBwRRfqp3EUTdPDJ4EbM/MfWga5ngiAiJhfWiKIiFnAi4Af4zqiIjNPy8yFmXkAzX7HtzLzNbiOqEVE7B4Reww8Bo4CrqND64ldm3ZCZm6LiL8Avg7sBnwqM6/vcrXUJRHxeeB5wN4RsRb4W+B04PyIOAG4DXglQGZeHxHnAzfQXMnn5NKdQbu2I4E/Aa4tfeAB3oHribbbD1herpbSA5yfmRdFxGW4jmhkbkfUal+arpHQ7Od/LjO/FhE/pAPrif9sLUmSJKmaXZskSZIkVTNISJIkSapmkJAkSZJUzSAhSZIkqZpBQpIkSVI1g4QkVYiITd2uw0QSET+LiGsj4uqIWNVSvldEXBIRN5f7uS3DTouINRFxU0QcXbm8N0XE2RFxYUQ84hLmEbFfRFxUHj9v4HGnRcRxEXFw5TRLIuLUivEfKu/z1RFxYUv5eRFxUM2yJWksGCQkaRdQ/n+g08sY7r+Hnp+ZizOzt6XsVGBlZh4ErCzPKTvbxwOH0Pxz88dq6p6ZZwIn0fyHz/QhRnkb8PF25zeGjgOqgkRmXpiZp1dMsrm8z4szc0lL+VnA22uWLUljwSAhSTuhHO2+NCK+GBE/jojPRuPwiPhSGefYiNgcEY+JiJkRcUspXxwRP4iI1RHx5YGj9WV+H4iIKyLiJxHxu6V8t4j4YET8sEzzZy11+HZEfI7mz+52j4j/iohrIuK6iHj1EPW+NCL+KSL+p4xzeCnfPSI+VZbxo4g4tpS/LiK+EBH/CXyj4i06FlheHi+n2dEeKD8vM/sy81ZgDTBQh03l9V8ZEd8s7+WlEXFLRCwp48wEzgTemZmbh1juUuBrQ7zuw8tr/lG5f2opPyAivhcRV5Xbc0p5T0R8LCKuj4iLIuKrEfGKMuz0iLihfBYfKtMsAT5YWgueVG5fK6/lexHxtCHq9LqI+Eh5/MryeVwTEd+teJ8Bvge8aISgJ0kd4UZHknbeM2mOrN8JfJ/mH6x/UMoBfhe4Dng2zfb28lJ+LvCXmfmdiHgPzb+hv6UMm5aZh0fES0v5i4ATgPsz89kRMQP4fkQM7NQfDjwjM2+NiKXAnZn5MoCIeNww9d49M58TEb8HfAp4BvB/gW9l5hsiYk/gioj4Zhn/d4BFmfnLIeaVwDciIoF/y8yzS/m+mXkXQGbeFRH7lPIF5T0asLaUAewOXJqZp0TEl4G/A15Mc6R/OXAh8FlgDnBSRPxNZt49MKOIOBDYkJl9Q9Tzx8DvZea2iHgR8Pc0oeNe4MWZuaV0D/o80Av8f8ABwG8B+wA3Ap+KiL2A/wU8LTMzIvbMzPtKV6OLMvOLpS4rgTdm5s0R8dvAx4AXDFGvAe8Ejs7MO8r7P5SZ0XQf2wacnplfAcjM/ohYAxwKXDnCMiRpTBkkJGnnXZGZawEi4mrggMz872j6/z+dZif/H4Dfo+mK872yc79nZn6nzGM58IWWeX6p3F9JsyMLcBSwaOCIOPA44CDg16UOt5bya4EPRcQHaHZqvzdMvT8PkJnfjYg5Zcf1KGBJRPx1GWcm8Jvl8SXDhAiAIzPzzhIULomIH2fmSEfUY4iyLPe/ZntrwrVAX2ZujYhrKe9FZi4dYd77AeuGGfY4YHkJC8n2blHTgY9ExGLgIeAppfy5wBcysx+4OyK+XcofALYAn4iI/wIecQ5GRMwGngN8IeLhlztjhHpDE0TPiYjz2b4ODPab5b1+IvCtiLg2M39aht0LPB6DhKRxZNcmSdp5rUe+H2L7wZnvAS8BtgLfpNkpfS7QTpeVgXm2zi9oWjAG+scfmJkDLRIPDkyYmT8BDqPZCX9/RLxzmGXkEM8DWNqyjN/MzBsHL+MRM8q8s9zfC3yZ0k0JuCci9oPmBGiaHV1oWiD2b5nFQpoWHYCtmTlQt/6B96LszLdz4GszTQAaynuBb2fmM4A/aBnvrcA9NEfze4HHlPKhAg+ZuY3mNa6g6a71iG5UNL+t97W8l4sz8+kjVTwz3wj8Dc17c3VEzBtinIH3+hbgUra3fFFez1BdvSSpYwwSkjT2vkvTVemyzFwHzAOeBlyfmfcDGwbOfwD+BPjOkHPZ7us0XXmmA0TEUyJi98EjRcTjgV9l5meADwHPGmZ+ry7jP5emy9T9ZRl/GeUQekQ8c5hpW5e3e0TsMfCYplXjujL4QmBZebwMuKCl/PiImFG6Ih0EXDHastr0E7a34gz2OOCO8vh1g8rvKmHlT2hajgD+G1hazpXYF3gePNza8LjM/CrNZ7y4jL8R2AMgMx8Abo2IV5ZpIiIOHaniEfGkzLw8M98J/IIdwxYRMbd0ayMi9qbpRndDyyhPAa4faRmSNNbs2iRJY+9yYF+2t0CsBu5tOdq+DPjXiHgscAvw+lHm9wmaHeSryo7+OrafvNzqt2hO+O2naQ05aZj5bYiI/6E51+ANpey9wD8Bq8syfga8fJR67Qt8uWSPacDnMnPgCP3pwPkRcQJwG/BKgMy8vnTfuYGmr//JmfnQKMtpS2Y+GBE/jYgnZ+aaQYPPoOna9DbgWy3lHwNWlJ3+b7O99WUF8EKaYPQTms/0fpqwcEE0J30HTYsGwHnAxyPiTcArgD8GzoqIv6HpPnUecM0I1f9g6XYVNFe5Gjzu04F/K59tD805EjcAlKCzeeCcFEkaL7H9d02StKuLiEuBv87MVaONOxlFxP8CDsvMvxmDec3OzE2lm9EVNOeD3D3adOMtIt4KPJCZn+x2XSRNLbZISJJ2GZn55aHOL9hJF5UT0R8DvHcihojiPuDfu10JSVOPLRKSJEmSqnmytSRJkqRqBglJkiRJ1QwSkiRJkqoZJCRJkiRVM0hIkiRJqmaQkCRJklTt/wfBhlh79wSMNAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 936x936 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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qvqCqnj9fOPjBTBvIn54PVfWTVfX6+aLCD2TaONjye9fdH+7uV87t791JfjjJN1TV+na3aNk2dFqSO69rC/dP8l8WXj9cVnf3yzKdovLYJO+uqnPnmq6f5HOSXLQwzr+Yux9yNG3i0/Uc2oDeYtiN1jWnJfnJde/9ppmWZ1vq7oszHanYPweGe2Yczo902XjYy/cl3vNGTslnvmufpbuf1t13y7ROfHCSR83nvg8daVufLdMmtzSHw0Pn65+caVmcfPbyeKNl8WbL9q3Gtel6oa58s4Kb5TPLlkfNIe9fMu2c+KYNxrfZeuRo1klHsh7dcYSFY6SqrplpD/5Xzyu2d2U6dHXHqhrugejuF3b312faCH5Dpj2RyXT4ar2nZzoEfdPuXst0vmotWd47My2wD7nZksMd8o5MC5skSVVdK9Phtbcf5ngyf2kfm+nc2Nse6rzuZW9L8kfdfd2Fv2t19zmHO7113ptp79tpC91uliu/j9dnOlT7gqpa3Guz2fz/zkwroLtlWoDvm7sv+/nceN5zuFjTOzLNhysynR5xaD5cp7sXL4watZXN9EJdb0pyclXdaqH/HfOZi+Jem4W9Z/PnfstscNHcfOTm8ZlOyXhIHcYdtdbV9dokd1g3T+6wUV3z43dvFk6OVHd/KtM1DffL9Dk/f96ru97bMu2ZX2yzp3T34tGw0Wf1okxH3l467y1NTXfR+LNM55DfcN6jd0GWb0+btol5R8W/ZdrjttM9LtOy8VbdfZ1MAayS6da1mU4x+PZMp9tcN9Meu2Xn06JD8+xIhl3vbUlevq4tXLu7H7JUId2P6e4vzXRK1hdkOhL43kwbP7dbGOdaTxfH7iRvy3TUaPG9f053P2Puv8zy6hmZvm/3ynRu/MUbTOdIlo1Hsnzfykbv6TaZjkBsPvB0JOhPMl+fMhrnMWjrR9Um1zk5Uyi7Tnf/e6bti/XL443Okli/TrlFpiMkb1piXJuuF/rKN8t4a6b5mWz8+RzOeuRo1klbrWd3BWHh2Ll3pguMbptp7+MXZVpY/HWS71n/4qq6YVXdc94AuyJT+jy0t+3dSW6y7ir/U5K8v7v/s6rulM1Pb1rvWUl+rqo+t6pukunw52benemc60OenuR7a7p12NUz7d37+55OCxi9/kqq6ser6q5Vdc2qOnk+BemUfOaOSOuHf2qmPUvfOO+1v8Y8/E2WfL9D897MZyV5dFWdMu8p/ol5eouve0amjZKXVNUt586bzf9TMn2G78u09+9XDrO0GyT50aq6alV9W6Z2c0F3vzPTxuRvVtV1quoqVXXLqlp/eHxD8x7qQxuht850ys9z5/f5kUx3O3pUVV2rptOA7pXp4qtk2oN++6r61qq6Rqbzif+lu9+wfjqzh83//0emDd2n1Ab3RK+q+1TVtef39A2ZTj173tz7wkzfhR+t6VZ6Pzx3f9n8/ylJvq+qbltVn5vpsPh5y86TI/D0TEcB75/xXs5kOl/6g1X1s3M7P6mqbl9VX7bVyLv71+fxvrSmO1BdLdMK9D1JPlFV98h0zcCyNv0+zi7IZ59msROdkunarg/P7fch6/p9ItN8OrmqfjGfvQdvaN6T/IVz+/u8TKfFXdjTKUZH6/lJvqCqvnv+Tl+1qr6sNj6SuljXl821XTXTtUb/meSTc2h9QpLfrqobzK+98WZ7olfkCUkePL+HmpcrZ1bVoaNYy7TNZ2Zq7w/JBt+3o1k2HsHyfSvvTrKvqtZvT311ptPVPktNt7Q+c14PXWX+jt8u08Xuh8a5OJ+OuK3PjqZNfsvCd+X6mW7e8o/zUYZkWh7/wrx9cetMp6Kdt8HonpZp3f5V87bPozKdkndoB8xm47owm68XrqS7/y3T9tfPz6+/Tabl+PMXprXsemSraW84riXWs7uCsHDsPCDTqRdv7e53HfrLdEj5/vXZt267SqaLlN6R6UKnr850AXAyNcDXJnlXVR06pekHMzW2D2XaaHvWYdT2yEyntrw50wJ2q0b6iCRPrulw5bd390szbWT+Wabkf8tc+dzQK71+ML6PZro24F2Z9pD9UKYLWi+Z+/9qpgXEB6rqp3q6ruJemRbo78m0V+Snc2za649kWglfkulit6dnuoj1Sno61/ZRSV5W07UZm83/p2Sav2/PdOHj3x1mTX+f6fz992Y6Res+C3s3vifTxuPrMh2N+dNc+XSsrXxdkn+pqo9k2kB8dq4cZn4w00V7l2fao/eQnq+d6e73ZLrO4dHztO+cK3/un1ZVX5opeH3PHMp+LdMenY3Ow/2xTPPrA5nuSvKgnm/pOp8ecO/5vX8gU/i496HTBrr7L5L8epK/zDTf35Lk4cvOkMPV3X+fqc3cKBus/Of3vD/TToI3Z/os/0+mI03LTOOXMl2w+ZJMp1f8aKY29u+ZNlyet+HAn+2JSW47f5+es8Frzs20XDoWe9K3009lev8fyrQhunjr3hdm+jzelKkN/Ge2OC1vwS0yncbzoUzXsFyRK1+bcsTmDZ9vyPRdeUem5d6vZQqAW7lOpvf575ne0/syBe9k2rN8cZK/q+mUrJdk+XPWj4vufmWmDbzfz/QeLs508e0hV1rWbzCOd2a6A9ZXZPNbNR/xsvEwl+9b+ZP5//uq6lXJFPqSfKSnW6iOfDDT+u2tmZZxv55p2fs3c//fTXKfmn6v6TE5urZ+tG3yxvnMd+XVma61/O8L/R+e6UjlWzJdf/Eb8zI6yadPD/qquY7XZjrl6mmZ1jmn5DPbPZuOa6v1wgbul+lMgvdluonE/5y3Z7Zcj9T0w4UPW2baS6yTNlzP7hbVVzpVGjiequqBme568ZWrroUTS1U9PdPNGJ6z6lpgL6mqP0vyxJ6ux4Jdb9U/DATACnT3rvsVUdgNuvtbV10DHEtOQwIAAIachgQAAAw5sgAAAAwJCwAAwNCuvsD51FNP7X379q26DAAA2LUuuuii93b39Uf9dnVY2LdvX175yleuugwAANi1quotG/VzGhIAADAkLAAAAEPCAgAAMCQsAAAAQ8ICAAAwJCwAAABDwgIAADAkLAAAAEPCAgAAMCQsAAAAQ8ICAAAwJCwAAABDwgIAADAkLAAAAEPCAgAAMCQsAAAAQ8ICAAAwJCwAAABDwgIAADAkLAAAAEPCAgAAMCQsAAAAQ8ICAAAwJCwAAABDwgIAADAkLAAAAEPCAgAAMCQsAAAAQ8ICAAAwJCwAAABDJ6+6gN1u39nnr7qEHeHSc85cdQkAABxjjiwAAABDwgIAADAkLAAAAEPCAgAAMCQsAAAAQ8ICAAAwJCwAAABDwgIAADAkLAAAAEPCAgAAMCQsAAAAQ8ICAAAwJCwAAABDwgIAADAkLAAAAEPCAgAAMCQsAAAAQ8ICAAAwJCwAAABDwgIAADC0o8JCVV2rqi6qqm9edS0AAHCi29awUFVPqqrLq+o167rfvareWFUXV9XZC71+NsmztrMmAABgOdt9ZOG8JHdf7FBVJyV5bJJ7JLltkvtV1W2r6m5JXpfk3dtcEwAAsISTt3Pk3f1XVbVvXec7Jbm4uy9Jkqp6ZpJ7Jbl2kmtlChAfraoLuvtT21kfAACwsW0NCxu4cZK3LTy/LMmdu/uHk6SqHpjkvRsFhao6K8lZSXKzm91seysFAIAT2CoucK5Bt/70g+7zuvv5Gw3c3ed29xndfcb1r3/9bSkQAABYTVi4LMlNF57fJMk7VlAHAACwiVWEhX9IcququnlVXS3JdyR53grqAAAANrHdt059RpK/TfKFVXVZVX1fd38iyQ8neWGS1yd5Vne/djvrAAAADt923w3pfht0vyDJBds5bQAA4OjsqF9wBgAAdg5hAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgKFdGRaqan9VnXvw4MFVlwIAAHvWrgwL3X2gu89aW1tbdSkAALBn7cqwAAAAbD9hAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABjalWGhqvZX1bkHDx5cdSkAALBn7cqw0N0HuvustbW1VZcCAAB71q4MCwAAwPYTFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGNqVYaGq9lfVuQcPHlx1KQAAsGftyrDQ3Qe6+6y1tbVVlwIAAHvWrgwLAADA9hMWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABjalWGhqvZX1bkHDx5cdSkAALBn7cqw0N0HuvustbW1VZcCAAB71q4MCwAAwPYTFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgKFdGRaqan9VnXvw4MFVlwIAAHvWrgwL3X2gu89aW1tbdSkAALBn7cqwAAAAbD9hAQAAGBIWAACAIWEBAAAYOnnVBbA37Dv7/FWXsCNces6Zqy4BAOCYcWQBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIChXRkWqmp/VZ178ODBVZcCAAB71q4MC919oLvPWltbW3UpAACwZ+3KsAAAAGw/YQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGNqVYaGq9lfVuQcPHlx1KQAAsGftyrDQ3Qe6+6y1tbVVlwIAAHvWrgwLAADA9hMWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABjalWGhqvZX1bkHDx5cdSkAALBn7cqw0N0HuvustbW1VZcCAAB71q4MCwAAwPYTFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABg6easXVNVVktwxyY2SfDTJa7v73dtdGAAAsFobhoWqumWSn01ytyT/muQ9Sa6R5Auq6j+SPD7Jk7v7U8ejUAAA4Pja7MjCLyd5XJIf6O5e7FFVN0jynUm+O8mTt688AABgVTYMC919v036XZ7kd7ajIAAAYGfY8pqFJKmqr0iyb/H13f2UbaoJAADYAZa5wPmPktwyyT8l+eTcuZMICwAAsIctc2ThjCS3XX/dAgAAsLct8zsLr0nyX7a7EAAAYGdZ5sjCqUleV1WvSHLFoY7dfc9tqwoAAFi5ZcLCI7a7CAAAYOfZMix098ur6rQkt+rul1TV5yQ5aftLAwAAVmnLaxaq6kFJ/jTTLzYnyY2TPGcbawIAAHaAZS5w/qEkd0nywSTp7n9NcoPtLAoAAFi9ZcLCFd39sUNPqurkTL+zAAAA7GHLhIWXV9XDklyzqr4+yZ8kObC9ZQEAAKu2TFg4O8l7krw6yQ8kuSDJL2xnUQAAwOotczekTyV5wvwHAACcILYMC1V1l0y/tXDa/PpK0t19i+0tDQAAWKVlfpTtiUkemuSiJJ/c3nIAAICdYpmwcLC7X7DtlQAAADvKMmHhL6vqN5I8O8kVhzp296u2rSoAAGDllgkLd57/n7HQrZN87bEvBwAA2CmWuRvS1xyPQmAv2Hf2+asuYUe49JwzV10CAHAMbPk7C1V1w6p6YlW9YH5+26r6vu0vDQAAWKVlfpTtvCQvTHKj+fmbkvz4NtUDAADsEMuEhVO7+1lJPpUk3f2JuIUqAADsecuEhY9U1edluqg5VfXlSQ5ua1UAAMDKLXM3pJ9I8rwkt6yq/5vk+knus61VAQAAK7fM3ZBeVVVfneQLk1SSN3b3x7e9MgAAYKW2DAtVddUkD0ny3+ZOF1bV4wUGAADY25Y5DelxSa6a5A/m5989d/v+7SoKAABYvWXCwpd19x0Xnr+sqv55uwoCAAB2hmXuhvTJqrrloSdVdYu4dSoAAOx5yxxZ+Okkf1lVl2S6wPm0JN+7rVUBAAArt8zdkF5aVbfKZ+6G9IbuvmLbKwMAAFZqw7BQVV/b3S+rqm9Z1+uWVZXufvY21wYAAKzQZkcWvjrJy5LsH/TrJMc0LFTVbZL8WJJTk7y0ux93LMcPAAAcng3DQnc/fP5/xNcnVNWTknxzksu7+/YL3e+e5HeTnJTk/3T3Od39+iQPrqqrJHnCkU4TAAA4NjY7DeknNhuwu39rifGfl+T3kzxlYbwnJXlskq9PclmSf6iq53X366rqnknOnocBAABWaLNbp56yxd+Wuvuvkrx/Xec7Jbm4uy/p7o8leWaSe82vf153f0WS+x/OmwAAAI69zU5DeuQ2TfPGSd628PyyJHeuqrsm+ZYkV09ywUYDV9VZSc5Kkpvd7GbbVCIAALDZaUiP2WzA7v7RI5xmjUfXFya5cKuBu/vcJOcmyRlnnNFHWAMAALCFze6GdNE2TfOyJDddeH6TJO/YpmkBAABHaLPTkJ68TdP8hyS3qqqbJ3l7ku9I8p3bNC0AAOAIbXYa0u90949X1YFMv6twJd19z61GXlXPSHLXJKdW1WVJHt7dT6yqH07ywky3Tn1Sd7/2SN8AAACwPTY7DemP5v//60hH3t3326D7BdnkImYAAGD1NjsN6aL5/8uPXzkAAMBOsdlpSP+y2YDdfYdjXw4AALBTbHYa0qcyXavw9CQHknz0uFQEAADsCBv+gnN3f1GS+yW5dqbA8Ogkt0vy9u5+y3GpDgAAWJkNw0KSdPcbuvvh3f0lmY4uPCXJQ49LZQAAwEptdhpSqurGmX4H4b8n+fdMQeHPj0NdAADAim12gfPLk5yS5FlJHpjk/XOvq1XV9br7/RsNCwAA7H6bHVk4LdMFzj+Q5KyF7jV3v8U21rWpqtqfZP/pp5++qhIAAGDP2+x3FvYdxzoOS3cfSHLgjDPOeNCqawEAgL1qwwucq2rfZgPW5CbHvCIAAGBH2Ow0pN+oqqskeW6Si5K8J8k1kpye5GuSfF2Shye5bLuLBAAAjr/NTkP6tqq6bZL7J/kfST4/yX8keX2SC5I8urv/87hUCQAAHHeb3jq1u1+X5OePUy0AAMAOsumPsgEAACcuYQEAABgSFgAAgKFNr1lIkqr6kkHng0ne0t2fOPYlAQAAO8GWYSHJHyT5kiT/kunXm28/P/68qnpwd79oG+sDAABWZJnTkC5N8sXdfUZ3f2mSL07ymiR3S/Lr21gbAACwQsuEhVt392sPPZlvp/rF3X3J9pUFAACs2jKnIb2xqh6X5Jnz8/smeVNVXT3Jx7etMgAAYKWWObLwwCQXJ/nxJA9Ncsnc7eNJvmab6gIAAFZsyyML3f3RJL85/6334WNe0RKqan+S/aeffvoqJg8AACeELY8sVNVdqurFVfWmqrrk0N/xKG4j3X2gu89aW1tbZRkAALCnLXPNwhMznX50UZJPbm85AADATrFMWDjY3S/Y9koAAIAdZZmw8JdV9RtJnp3kikMdu/tV21YVAACwcsuEhTvP/89Y6NZJvvbYlwMAAOwUy9wNye1RAQDgBLRhWKiq7+rup1bVT4z6d/dvbV9ZAADAqm12ZOFa8/9TjkchAADAzrJhWOjux88Pf6+737/Yr6puvq1VAQAAK7flj7IlOVBV1zn0pKpuk+TA9pUEAADsBMuEhV/JFBiuXVVfmuRPk3zX9pYFAACs2jJ3Qzq/qq6a5EWZrl+4d3f/67ZXBgAArNRmd0P6vUy/p3DIdZJckuRHqird/aPbXRwAALA6mx1ZeOW65xdtZyEAAMDOstndkJ58PAsBAAB2ls1OQ3p1rnwa0pV09x22paIlVNX+JPtPP/30VZUAAAB73manIX3zcaviMHX3gSQHzjjjjAetuhYAANirNjsN6S2HHlfVDZN82fz0Fd19+XYXBgAArNaWv7NQVd+e5BVJvi3Jtyf5+6q6z3YXBgAArNaWv7OQ5OeTfNmhowlVdf0kL8n042wAAMAetcwvOF9l3WlH71tyOAAAYBdb5sjCX1TVC5M8Y35+3yQXbF9JAADATrBlWOjun66qb0nylUkqybnd/efbXhkAALBSW4aFqnpokj/p7mcfh3oAAIAdYplrD66T5IVV9ddV9UPzbVQBAIA9bpnTkB6Z5JFVdYdM1yu8vKou6+67bXt1wK607+zzV13CjnDpOWeuugQAOCqHc1ejy5O8K9PdkG6wPeUAAAA7xTI/yvaQqrowyUuTnJrkQd19h+0uDAAAWK1lbp16WpIf7+5/2uZaAACAHWTLIwvdfXaSa1fV9ybTLzhX1c23vTIAAGClljkN6eFJfjbJz82drprkqdtZFAAAsHrLXOD835PcM8lHkqS735HklO0sCgAAWL1lwsLHuruTdJJU1bW2tyQAAGAnWCYsPKuqHp/kulX1oCQvSfKE7S0LAABYtWV+lO1/VdXXJ/lgki9M8ovd/eJtr2wTVbU/yf7TTz99lWUAAMCetsytUzOHgxdX1amZfpRtpbr7QJIDZ5xxxoNWXQsAAOxVG56GVFVfXlUXVtWzq+qLq+o1SV6T5N1VdffjVyIAALAKmx1Z+P0kD0uyluRlSe7R3X9XVbdO8owkf3Ec6gMAAFZkswucT+7uF3X3nyR5V3f/XZJ09xuOT2kAAMAqbRYWPrXw+KPr+vU21AIAAOwgm52GdMeq+mCSSnLN+XHm59fY9soAdrl9Z5+/6hJ2hEvPOXPVJQBwhDYMC9190vEsBAAA2FmW+VE2AADgBCQsAAAAQ8ICAAAwJCwAAABDwgIAADAkLAAAAEPCAgAAMCQsAAAAQ8ICAAAwJCwAAABDwgIAADAkLAAAAEPCAgAAMCQsAAAAQ7syLFTV/qo69+DBg6suBQAA9qxdGRa6+0B3n7W2trbqUgAAYM/alWEBAADYfsICAAAwJCwAAABDwgIAADAkLAAAAEPCAgAAMCQsAAAAQ8ICAAAwJCwAAABDwgIAADAkLAAAAEPCAgAAMCQsAAAAQ8ICAAAwJCwAAABDwgIAADAkLAAAAEPCAgAAMCQsAAAAQ8ICAAAwJCwAAABDwgIAADAkLAAAAEMnr7oAAPa2fWefv+oSdoRLzzlz1SUAHDZHFgAAgCFhAQAAGNqVYaGq9lfVuQcPHlx1KQAAsGftyrDQ3Qe6+6y1tbVVlwIAAHvWrgwLAADA9hMWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGDp51QUAwIlg39nnr7qEHeHSc85cdQnAYXBkAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGNqVYaGq9lfVuQcPHlx1KQAAsGftyrDQ3Qe6+6y1tbVVlwIAAHvWrgwLAADA9hMWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgKFdGRaqan9VnXvw4MFVlwIAAHvWrgwL3X2gu89aW1tbdSkAALBn7cqwAAAAbD9hAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgKEdFRaq6t5V9YSqem5VfcOq6wEAgBPZtoeFqnpSVV1eVa9Z1/3uVfXGqrq4qs5Oku5+Tnc/KMkDk9x3u2sDAAA2djyOLJyX5O6LHarqpCSPTXKPJLdNcr+quu3CS35h7g8AAKzItoeF7v6rJO9f1/lOSS7u7ku6+2NJnpnkXjX5tSQv6O5XbXdtAADAxlZ1zcKNk7xt4fllc7cfSXK3JPepqgePBqyqs6rqlVX1yve85z3bXykAAJygTl7RdGvQrbv7MUkes9mA3X1uknOT5IwzzuhtqA0AAMjqjixcluSmC89vkuQdK6oFAAAYWFVY+Ickt6qqm1fV1ZJ8R5LnragWAABg4HjcOvUZSf42yRdW1WVV9X3d/YkkP5zkhUlen+RZ3f3a7a4FAABY3rZfs9Dd99ug+wVJLtju6QMAAEdmR/2CMwAAsHMICwAAwJCwAAAADAkLAADAkLAAAAAMCQsAAMCQsAAAAAxt++8sbIeq2p9k/+mnn77qUgCAw7Dv7PNXXcKOcOk5Z666BFjKrjyy0N0HuvustbW1VZcCAAB71q4MCwAAwPYTFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIChXRkWqmp/VZ178ODBVZcCAAB71q4MC919oLvPWltbW3UpAACwZ+3KsAAAAGw/YQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYOnnVBQAAcGLad/b5qy5h5S4958xVl7ApRxYAAIAhYQEAABgSFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABjalWGhqvZX1bkHDx5cdSkAALBn7cqw0N0HuvustbW1VZcCAAB71q4MCwAAwPYTFgAAgCFhAQAAGBIWAACAIWEBAAAYEhYAAIAhYQEAABg6edUFAACcaPadff6qS4ClOLIAAAAMCQsAAMCQsAAAAAwJCwAAwJCwAAAADAkLAADAkLAAAAAMCQsAAMDQrgwLVbW/qs49ePDgqksBAIA9a1eGhe4+0N1nra2trboUAADYs3ZlWAAAALafsAAAAAwJCwAAwJCwAAAADAkLAADAkLAAAAAMCQsAAMCQsAAAAAwJCwAAwJCwAAAADAkLAADAkLAAAAAMCQsAAMCQsAAAAAwJCwAAwJCwAAAADAkLAADAkLAAAAAMCQsAAMCQsAAAAAwJCwAAwFB196prOGJV9Z4kbzmKUZya5L3HqBxOPNoPR0P74WhoPxwN7Yf1Tuvu64967OqwcLSq6pXdfcaq62B30n44GtoPR0P74WhoPxwOpyEBAABDwgIAADB0ooeFc1ddALua9sPR0H44GtoPR0P7YWkn9DULAADAxk70IwsAAMAGTtiwUFV3r6o3VtXFVXX2quthZ6iqJ1XV5VX1moVu16uqF1fVv87/P3eh38/NbeiNVfWNC92/tKpePfd7TFXV8X4vHF9VddOq+suqen1Vvbaqfmzurv2wpaq6RlW9oqr+eW4/j5y7az8srapOqqp/rKrnz8+1H47aCRkWquqkJI9Nco8kt01yv6q67WqrYoc4L8nd13U7O8lLu/tWSV46P8/cZr4jye3mYf5gbltJ8rgkZyW51fy3fpzsPZ9I8pPdfZskX57kh+Y2ov2wjCuSfG133zHJFyW5e1V9ebQfDs+PJXn9wnPth6N2QoaFJHdKcnF3X9LdH0vyzCT3WnFN7ADd/VdJ3r+u872SPHl+/OQk917o/szuvqK735zk4iR3qqrPT3Kd7v7bni4KesrCMOxR3f3O7n7V/PhDmVbYN472wxJ68uH56VXnv472w5Kq6iZJzkzyfxY6az8ctRM1LNw4ydsWnl82d4ORG3b3O5NpgzDJDebuG7WjG8+P13fnBFFV+5J8cZK/j/bDkuZTSP4pyeVJXtzd2g+H43eS/EySTy100344aidqWBidf+e2UByujdqR9nUCq6prJ/mzJD/e3R/c7KWDbtrPCay7P9ndX5TkJpn28t5+k5drP3xaVX1zksu7+6JlBxl0034YOlHDwmVJbrrw/CZJ3rGiWtj53j0fms38//K5+0bt6LL58fru7HFVddVMQeFp3f3subP2w2Hp7g8kuTDTueLaD8u4S5J7VtWlmU6t/tqqemq0H46BEzUs/EOSW1XVzavqapku8nneimti53pekgfMjx+Q5LkL3b+jqq5eVTfPdCHYK+ZDvR+qqi+f7yLxPQvDsEfNn/UTk7y+u39roZf2w5aq6vpVdd358TWT3C3JG6L9sITu/rnuvkl378u0TfOy7v6uaD8cAyevuoBV6O5PVNUPJ3lhkpOSPKm7X7vistgBquoZSe6a5NSquizJw5Ock+RZVfV9Sd6a5NuSpLtfW1XPSvK6THfC+aHu/uQ8qodkurPSNZO8YP5jb7tLku9O8ur5vPMkeVi0H5bz+UmePN+R5ipJntXdz6+qv432w5Gz/OGo+QVnAABg6EQ9DQkAANiCsAAAAAwJCwAAwJCwAAAADAkLAADAkLAAAAAMCQsAAMCQsAAAAAz9/1XL0QOFuAZ7AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 936x936 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 936x936 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 936x936 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 936x936 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def make_graphs_dist(label):\n",
    "    df_stemger_label = df_stemger_clean[df_stemger_clean['binned'].str.contains(label)]\n",
    "    plot_dist(filter_binned(df_nearest, df_stemger_label), label)\n",
    "\n",
    "for label in labels:\n",
    "    make_graphs_dist(label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_112022/688534536.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  gdf_wims_dedupe.rename(columns = {'CBS gemeentecode': 'gemeentecode'}, inplace = True)\n"
     ]
    }
   ],
   "source": [
    "#print(list(gdf_wims_dedupe))\n",
    "\n",
    "#print(list(df_stemger_clean))\n",
    "\n",
    "\n",
    "gdf_wims_dedupe.rename(columns = {'CBS gemeentecode': 'gemeentecode'}, inplace = True)\n",
    "wims_merged = pd.merge(gdf_wims_dedupe, df_stemger_clean, on=['gemeentecode'])\n",
    "wims_merged.rename(columns = {'binned': 'staffel'}, inplace = True)\n",
    "wims_merged.to_csv(path_or_buf='../data/export/openingstijden_alle_staffels.csv', sep=';', na_rep='', header=True, date_format = '%m-%d %H:%M')\n",
    "\n",
    "df_nearest.rename(columns = {'CBS gemeentecode': 'gemeentecode'}, inplace = True)\n",
    "df_merged = pd.merge(df_nearest, df_stemger_clean, on=['gemeentecode'])\n",
    "df_merged.rename(columns = {'binned': 'staffel'}, inplace = True)\n",
    "df_merged.to_csv(path_or_buf='../data/export/afstand_alle_staffels.csv', sep=';', na_rep='', header=True, date_format = '%m-%d %H:%M')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              0                    1           2                3       4    \\\n",
      "0     Lijstnummer           Aanduiding  Volgnummer   Naam kandidaat  Totaal   \n",
      "1    Gebiednummer                  NaN         NaN              NaN     NaN   \n",
      "2        Postcode                  NaN         NaN              NaN     NaN   \n",
      "3             NaN         opgeroepenen         NaN              NaN  194113   \n",
      "4             NaN      geldige stempas         NaN              NaN   96830   \n",
      "..            ...                  ...         ...              ...     ...   \n",
      "445           NaN                  NaN           5     Oetomo, A.D.      38   \n",
      "446           NaN                  NaN           6         Smid, D.      25   \n",
      "447           NaN                  NaN           7  van Welij, P.Z.      10   \n",
      "448            16  Blanco (Dokter, T.)         NaN              NaN     100   \n",
      "449           NaN                  NaN           1       Dokter, T.     100   \n",
      "\n",
      "                                5    \\\n",
      "0    GRID Grafisch Museum Groningen   \n",
      "1                               101   \n",
      "2                           9712 JN   \n",
      "3                              1396   \n",
      "4                               560   \n",
      "..                              ...   \n",
      "445                               0   \n",
      "446                               0   \n",
      "447                               0   \n",
      "448                               0   \n",
      "449                               0   \n",
      "\n",
      "                                            6    \\\n",
      "0    Gemeente Groningen (locatie Kreupelstraat)   \n",
      "1                                           102   \n",
      "2                                       9712 HW   \n",
      "3                                          1311   \n",
      "4                                           469   \n",
      "..                                          ...   \n",
      "445                                           0   \n",
      "446                                           0   \n",
      "447                                           0   \n",
      "448                                           0   \n",
      "449                                           0   \n",
      "\n",
      "                                            7            8            9    \\\n",
      "0    Gemeente Groningen (locatie Kreupelstraat)  Der Aa-kerk  Der Aa-kerk   \n",
      "1                                           103          104          105   \n",
      "2                                       9712 HW      9711 JB      9711 JB   \n",
      "3                                          1311         1311         1311   \n",
      "4                                           491          595          607   \n",
      "..                                          ...          ...          ...   \n",
      "445                                           0            0            0   \n",
      "446                                           0            0            0   \n",
      "447                                           0            0            0   \n",
      "448                                           0            0            0   \n",
      "449                                           0            0            0   \n",
      "\n",
      "     ...              175         176              177                  178  \\\n",
      "0    ...  MFC 't Vinkhuys  De Fontein  Trefpunt Beijum  Wijkcentrum Het Dok   \n",
      "1    ...              827         828              829                  830   \n",
      "2    ...          9743 BJ     9741 EZ          9737 AB              9733 CA   \n",
      "3    ...                0           0                0                    0   \n",
      "4    ...              369         503              367                  537   \n",
      "..   ...              ...         ...              ...                  ...   \n",
      "445  ...                0           0                0                    0   \n",
      "446  ...                0           2                0                    0   \n",
      "447  ...                0           0                0                    0   \n",
      "448  ...                2           2                1                    0   \n",
      "449  ...                2           2                1                    0   \n",
      "\n",
      "                      179                     180  \\\n",
      "0    PKN Blister Ten Boer  Buurtcentrum Stadspark   \n",
      "1                     831                     832   \n",
      "2                 9791 CP                 9727 HW   \n",
      "3                       0                       0   \n",
      "4                     218                     283   \n",
      "..                    ...                     ...   \n",
      "445                     0                       0   \n",
      "446                     0                       0   \n",
      "447                     0                       0   \n",
      "448                     0                       2   \n",
      "449                     0                       2   \n",
      "\n",
      "                                           181            182  \\\n",
      "0    Kerk van J.C. van de H. der Laatste Dagen  Maranathakerk   \n",
      "1                                          833            834   \n",
      "2                                      9728 AR        9721 PE   \n",
      "3                                            0              0   \n",
      "4                                          302            473   \n",
      "..                                         ...            ...   \n",
      "445                                          0              0   \n",
      "446                                          3              0   \n",
      "447                                          0              1   \n",
      "448                                          0              0   \n",
      "449                                          0              0   \n",
      "\n",
      "                             183                 184  \n",
      "0    Tennispark Vorenkamp (GLTB)  Gemeentehuis Haren  \n",
      "1                            835                 836  \n",
      "2                        9722 HJ             9751 AN  \n",
      "3                              0                   0  \n",
      "4                            495                 815  \n",
      "..                           ...                 ...  \n",
      "445                            0                   0  \n",
      "446                            0                   0  \n",
      "447                            0                   0  \n",
      "448                            0                   0  \n",
      "449                            0                   0  \n",
      "\n",
      "[450 rows x 185 columns]\n"
     ]
    }
   ],
   "source": [
    "#de eerste vijf rijen zijn meta-data en kunnen we gerust weghalen voor nu \n",
    "df_gr_gr = pd.read_csv(r'../data/stemmen/01_Groningen/osv4-3_telling_gr2022_groningen.csv', skiprows=5, header=None, delimiter=';')\n",
    "print(df_gr_gr)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "De data is heel gecompliceerd, dus we moeten het bruikbaar maken in pandas. Met hoe de data eruit ziet in een CSV in libre office willen we een constructie maken van de verschillende onderdelen. We hebben de data van de stemlokalen apart al, die kunnen we dus negeren. We willen de data van de lijsten apart hebben. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "#TODO:mobiele stemlokalen eruit filteren die NIET 0,0 zijn\n",
    "#TODO:datastandaard duitse verkiezingen stemlokaalafstand opzoeken"
   ]
  }
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