mirror of
https://github.com/openstate/stembureau-meting.git
synced 2025-06-06 23:39:10 +02:00
added a few csv exports
This commit is contained in:
Lillian Oostrom
parent
bc53e8b470
commit
ac3a7df210
9 changed files with 474236 additions and 37 deletions
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"/home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/geopandas/geodataframe.py:600: UserWarning: Empty field name at index 928\n",
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" for feature in features_lst:\n"
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
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"\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",
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"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",
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"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",
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"File \u001b[0;32mfiona/ogrext.pyx:1515\u001b[0m, in \u001b[0;36mfiona.ogrext.Iterator.__next__\u001b[0;34m()\u001b[0m\n",
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"File \u001b[0;32mfiona/ogrext.pyx:202\u001b[0m, in \u001b[0;36mfiona.ogrext.FeatureBuilder.build\u001b[0;34m()\u001b[0m\n",
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"\n",
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" 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",
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" #TODO: export excel file\n",
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" 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",
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"\n",
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"\n",
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" #wims_datesplit_16.groupby(wims_datesplit_16[\"Openingstijden 16-03-2022\"].dt.hour).count().plot(kind=\"bar\", y='Openingstijden 16-03-2022')\n",
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"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
|
|
@ -5714,6 +5731,40 @@
|
|||
" 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,
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue