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tibbe/geopandas-2108-repro.ipynb

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geopandas-2108-repro.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "geopandas #2108 repro.ipynb",
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyMI7zKvCu282TSH4UGysHCz",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/tibbe/6f74005b7cbe5617ea3f4777a514e83a/geopandas-2108-repro.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "WjoTtaVaLJew"
},
"source": [
"# Repro for geopandas #2108\n",
"\n",
"https://github.com/geopandas/geopandas/issues/2108"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "GwrIKw8Qa6Bk"
},
"source": [
"## Extract Zurich city boundary from OSM\n",
"\n",
"We use OSM data to get a 2D multipolygon corresponding to the boundary of the city of Zurich, Switzerland."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "DYA9iP76cjh1"
},
"source": [
"Download Swiss OSM snapshot."
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "iqWOMBvkC8cp",
"outputId": "f01a54c0-8cf0-46c5-ed42-5d198bf6a9fb"
},
"source": [
"!wget -N 'http://download.geofabrik.de/europe/switzerland-latest.osm.pbf'"
],
"execution_count": 20,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"--2021-09-20 09:23:02-- http://download.geofabrik.de/europe/switzerland-latest.osm.pbf\n",
"Resolving download.geofabrik.de (download.geofabrik.de)... 116.202.112.212, 138.201.81.208, 88.99.142.44\n",
"Connecting to download.geofabrik.de (download.geofabrik.de)|116.202.112.212|:80... connected.\n",
"HTTP request sent, awaiting response... 304 Not Modified\n",
"File ‘switzerland-latest.osm.pbf’ not modified on server. Omitting download.\n",
"\n"
]
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "CMpKaTWFtsQV"
},
"source": [
"Extract Zurich boundary polygon."
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "_zbDmE1dalvv",
"outputId": "37234483-5967-46ac-ae94-d13e16a3430c"
},
"source": [
"!apt-get install osmium-tool"
],
"execution_count": 21,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Reading package lists... Done\n",
"Building dependency tree \n",
"Reading state information... Done\n",
"osmium-tool is already the newest version (1.7.1-1).\n",
"0 upgraded, 0 newly installed, 0 to remove and 37 not upgraded.\n"
]
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "-pi1Wyh2joqJ",
"outputId": "2cfa8a51-ddb0-4894-981b-15d8a47a2500"
},
"source": [
"!osmium getid -r switzerland-latest.osm.pbf r1682248 -o zurich-boundary.osm"
],
"execution_count": 22,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Open failed for 'zurich-boundary.osm': File exists. Try using --overwrite if you are sure you want to overwrite the file.\n"
]
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "hYrCvE1qc25m"
},
"source": [
"## Convert boundary to GeoSeries"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "lFiaQ5RTL3Jp",
"outputId": "7d3debe9-e604-4ace-b07c-2d01dc845f4e"
},
"source": [
"!pip install geopandas\n",
"!pip install osmium"
],
"execution_count": 23,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Requirement already satisfied: geopandas in /usr/local/lib/python3.7/dist-packages (0.9.0)\n",
"Requirement already satisfied: shapely>=1.6 in /usr/local/lib/python3.7/dist-packages (from geopandas) (1.7.1)\n",
"Requirement already satisfied: pyproj>=2.2.0 in /usr/local/lib/python3.7/dist-packages (from geopandas) (3.2.1)\n",
"Requirement already satisfied: fiona>=1.8 in /usr/local/lib/python3.7/dist-packages (from geopandas) (1.8.20)\n",
"Requirement already satisfied: pandas>=0.24.0 in /usr/local/lib/python3.7/dist-packages (from geopandas) (1.1.5)\n",
"Requirement already satisfied: cligj>=0.5 in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (0.7.2)\n",
"Requirement already satisfied: click-plugins>=1.0 in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (1.1.1)\n",
"Requirement already satisfied: munch in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (2.5.0)\n",
"Requirement already satisfied: attrs>=17 in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (21.2.0)\n",
"Requirement already satisfied: six>=1.7 in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (1.15.0)\n",
"Requirement already satisfied: certifi in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (2021.5.30)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (57.4.0)\n",
"Requirement already satisfied: click>=4.0 in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (7.1.2)\n",
"Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.24.0->geopandas) (2018.9)\n",
"Requirement already satisfied: numpy>=1.15.4 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.24.0->geopandas) (1.19.5)\n",
"Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.24.0->geopandas) (2.8.2)\n",
"Requirement already satisfied: osmium in /usr/local/lib/python3.7/dist-packages (3.2.0)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from osmium) (2.23.0)\n",
"Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->osmium) (1.24.3)\n",
"Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->osmium) (2.10)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->osmium) (2021.5.30)\n",
"Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->osmium) (3.0.4)\n"
]
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "22Vwyf8iL5n2"
},
"source": [
"import fiona\n",
"import geopandas as gpd\n",
"import osmium\n",
"from shapely.geometry import multipolygon\n",
"import shapely.wkb\n",
"\n",
"wkbfab = osmium.geom.WKBFactory()"
],
"execution_count": 24,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "5hGslULhMWRK"
},
"source": [
"polygon_file = 'zurich-boundary.osm'"
],
"execution_count": 25,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 121
},
"id": "JOFV8_sfMsD4",
"outputId": "494e70d7-0222-49b3-810c-02288d5e452a"
},
"source": [
"def boundary_as_shapely() -> multipolygon.MultiPolygon:\n",
" class ExtractPolygonHandler(osmium.SimpleHandler):\n",
" boundary: multipolygon.MultiPolygon\n",
"\n",
" def __init__(self):\n",
" super().__init__()\n",
" self.boundary = None\n",
"\n",
" def area(self, a):\n",
" assert self.boundary is None\n",
" self.boundary = shapely.wkb.loads(wkbfab.create_multipolygon(a), hex=True)\n",
"\n",
" h = ExtractPolygonHandler()\n",
" h.apply_file(polygon_file, locations=True)\n",
" return h.boundary\n",
"\n",
"boundary = boundary_as_shapely()\n",
"boundary"
],
"execution_count": 26,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<shapely.geometry.multipolygon.MultiPolygon at 0x7f19a6161b10>"
],
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},
"metadata": {},
"execution_count": 26
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "MltcizkeOSTP",
"outputId": "d6854f74-f63e-4366-9aed-6ec9b4b764eb"
},
"source": [
"boundary_gs = gpd.GeoSeries(boundary, crs=wkbfab.proj_string, name='boundary')\n",
"print(boundary_gs.crs)\n",
"boundary_gs"
],
"execution_count": 27,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"+proj=longlat +datum=WGS84 +no_defs +type=crs\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"0 MULTIPOLYGON (((8.44801 47.38025, 8.44847 47.3...\n",
"Name: boundary, dtype: geometry"
]
},
"metadata": {},
"execution_count": 27
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "hPY-RTFKL1Nq"
},
"source": [
"## Filter Swiss 3D buildings to only include Zurich\n",
"\n",
"Uses https://www.swisstopo.admin.ch/en/geodata/landscape/buildings3d2.html data, which is in the ESRI File Geodatabase (MultiPatch Features) format."
]
},
{
"cell_type": "code",
"metadata": {
"id": "Q5p9Zh_ZkVEe",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "dfa4941f-f010-4664-a9da-13ff6842de13"
},
"source": [
"!wget -N https://data.geo.admin.ch/ch.swisstopo.swissbuildings3d_2/swissbuildings3d_2_2021-05/swissbuildings3d_2_2021-05_2056_5728.gdb.zip\n",
"!unzip swissbuildings3d_2_2021-05_2056_5728.gdb.zip"
],
"execution_count": 28,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"--2021-09-20 09:23:31-- https://data.geo.admin.ch/ch.swisstopo.swissbuildings3d_2/swissbuildings3d_2_2021-05/swissbuildings3d_2_2021-05_2056_5728.gdb.zip\n",
"Resolving data.geo.admin.ch (data.geo.admin.ch)... 52.84.162.23, 52.84.162.31, 52.84.162.34, ...\n",
"Connecting to data.geo.admin.ch (data.geo.admin.ch)|52.84.162.23|:443... connected.\n",
"HTTP request sent, awaiting response... 304 Not Modified\n",
"File ‘swissbuildings3d_2_2021-05_2056_5728.gdb.zip’ not modified on server. Omitting download.\n",
"\n",
"Archive: swissbuildings3d_2_2021-05_2056_5728.gdb.zip\n",
"replace 20210520_swissBUILDINGS20_LV95LN02.gdb/a00000001.gdbindexes? [y]es, [n]o, [A]ll, [N]one, [r]ename: N\n"
]
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "X08Phux3L8CE",
"outputId": "b1ab9a19-0231-4edc-b0eb-2ae68d7b441c"
},
"source": [
"gdb_file = '20210520_swissBUILDINGS20_LV95LN02.gdb'\n",
"fiona.listlayers(gdb_file)"
],
"execution_count": 29,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['sB20_LV95LN02']"
]
},
"metadata": {},
"execution_count": 29
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "BuMO0Z6oeUb1"
},
"source": [
"Using the Zurich boundary results in an empty result:"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 69
},
"id": "4gg6B8EmL_Kv",
"outputId": "925b40de-b7c2-4f9c-f141-81e919db9903"
},
"source": [
"gdf = gpd.read_file(gdb_file, layer='sB20_LV95LN02', mask=boundary_gs)\n",
"gdf.head()"
],
"execution_count": 30,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
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" .dataframe thead th {\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>DATUM_AENDERUNG</th>\n",
" <th>DATUM_ERSTELLUNG</th>\n",
" <th>ERSTELLUNG_JAHR</th>\n",
" <th>ERSTELLUNG_MONAT</th>\n",
" <th>GEBAEUDE_NUTZUNG</th>\n",
" <th>GRUND_AENDERUNG</th>\n",
" <th>HERKUNFT</th>\n",
" <th>HERKUNFT_JAHR</th>\n",
" <th>HERKUNFT_MONAT</th>\n",
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" <th>REVISION_MONAT</th>\n",
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" <th>REVISION_QUALITAET</th>\n",
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"text/plain": [
"Empty GeoDataFrame\n",
"Columns: [DATUM_AENDERUNG, DATUM_ERSTELLUNG, ERSTELLUNG_JAHR, ERSTELLUNG_MONAT, GEBAEUDE_NUTZUNG, GRUND_AENDERUNG, HERKUNFT, HERKUNFT_JAHR, HERKUNFT_MONAT, NAME_KOMPLETT, OBJEKTART, ORIGINAL_HERKUNFT, REVISION_JAHR, REVISION_MONAT, UUID, REVISION_QUALITAET, geometry]\n",
"Index: []"
]
},
"metadata": {},
"execution_count": 30
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "KaBQFujmd4IS"
},
"source": [
"Proof that there's actual data in the database:"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 475
},
"id": "2wPW-bqmd0BK",
"outputId": "ca6e74b1-462e-4d46-f18b-3b42d3afc6eb"
},
"source": [
"gdf = gpd.read_file(gdb_file, layer='sB20_LV95LN02', rows=10)\n",
"gdf.head()"
],
"execution_count": 31,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\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>DATUM_AENDERUNG</th>\n",
" <th>DATUM_ERSTELLUNG</th>\n",
" <th>ERSTELLUNG_JAHR</th>\n",
" <th>ERSTELLUNG_MONAT</th>\n",
" <th>GEBAEUDE_NUTZUNG</th>\n",
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" <th>ORIGINAL_HERKUNFT</th>\n",
" <th>REVISION_JAHR</th>\n",
" <th>REVISION_MONAT</th>\n",
" <th>UUID</th>\n",
" <th>REVISION_QUALITAET</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{447857AC-51F3-4CE6-9306-094A39EAF898}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON Z (((2547660.572 1162814.554 740....</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2018-04-18T16:22:50+00:00</td>\n",
" <td>2018-04-18T16:22:42+00:00</td>\n",
" <td>2017</td>\n",
" <td>6</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td>swisstopo</td>\n",
" <td>2017</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td>swisstopo</td>\n",
" <td>2017</td>\n",
" <td>6</td>\n",
" <td>{5206BAB2-3261-4A7C-9FD9-56652159C55B}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON Z (((2546460.252 1161961.674 793....</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{09158524-46BF-414F-8A49-3A41B7524D3E}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON Z (((2547746.339 1162556.379 745....</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{886C31EE-A160-4E4C-8A3F-6EC2345E6794}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON Z (((2546852.186 1163750.986 812....</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{F661BE6D-CD95-4019-8021-F2221C4BB332}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON Z (((2549083.650 1161386.775 746....</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DATUM_AENDERUNG ... geometry\n",
"0 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON Z (((2547660.572 1162814.554 740....\n",
"1 2018-04-18T16:22:50+00:00 ... MULTIPOLYGON Z (((2546460.252 1161961.674 793....\n",
"2 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON Z (((2547746.339 1162556.379 745....\n",
"3 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON Z (((2546852.186 1163750.986 812....\n",
"4 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON Z (((2549083.650 1161386.775 746....\n",
"\n",
"[5 rows x 17 columns]"
]
},
"metadata": {},
"execution_count": 31
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Ocrr748meBi_"
},
"source": [
"The data seems to have the right coordinates (these lat/longs correspond to something inside Switzerland):"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 475
},
"id": "MbrOnoBiCtGw",
"outputId": "cf7482ea-5b34-4e46-a389-98f85cfc3e5c"
},
"source": [
"gdf = gdf.to_crs('WGS84')\n",
"gdf.head()"
],
"execution_count": 32,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
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" }\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>DATUM_AENDERUNG</th>\n",
" <th>DATUM_ERSTELLUNG</th>\n",
" <th>ERSTELLUNG_JAHR</th>\n",
" <th>ERSTELLUNG_MONAT</th>\n",
" <th>GEBAEUDE_NUTZUNG</th>\n",
" <th>GRUND_AENDERUNG</th>\n",
" <th>HERKUNFT</th>\n",
" <th>HERKUNFT_JAHR</th>\n",
" <th>HERKUNFT_MONAT</th>\n",
" <th>NAME_KOMPLETT</th>\n",
" <th>OBJEKTART</th>\n",
" <th>ORIGINAL_HERKUNFT</th>\n",
" <th>REVISION_JAHR</th>\n",
" <th>REVISION_MONAT</th>\n",
" <th>UUID</th>\n",
" <th>REVISION_QUALITAET</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{447857AC-51F3-4CE6-9306-094A39EAF898}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON Z (((6.75538 46.61453 740.38200, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2018-04-18T16:22:50+00:00</td>\n",
" <td>2018-04-18T16:22:42+00:00</td>\n",
" <td>2017</td>\n",
" <td>6</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td>swisstopo</td>\n",
" <td>2017</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td>swisstopo</td>\n",
" <td>2017</td>\n",
" <td>6</td>\n",
" <td>{5206BAB2-3261-4A7C-9FD9-56652159C55B}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON Z (((6.73981 46.60676 793.54400, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{09158524-46BF-414F-8A49-3A41B7524D3E}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON Z (((6.75652 46.61221 745.38500, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{886C31EE-A160-4E4C-8A3F-6EC2345E6794}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON Z (((6.74471 46.62289 812.66300, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{F661BE6D-CD95-4019-8021-F2221C4BB332}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON Z (((6.77411 46.60180 746.08600, ...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DATUM_AENDERUNG ... geometry\n",
"0 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON Z (((6.75538 46.61453 740.38200, ...\n",
"1 2018-04-18T16:22:50+00:00 ... MULTIPOLYGON Z (((6.73981 46.60676 793.54400, ...\n",
"2 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON Z (((6.75652 46.61221 745.38500, ...\n",
"3 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON Z (((6.74471 46.62289 812.66300, ...\n",
"4 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON Z (((6.77411 46.60180 746.08600, ...\n",
"\n",
"[5 rows x 17 columns]"
]
},
"metadata": {},
"execution_count": 32
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "uTyIH2N_eNUe"
},
"source": [
"Using a bounding box that contains the whole world doesn't work either:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "-utImUQ-PyWR",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 69
},
"outputId": "29512c93-79ed-4265-fa90-939b2285cf93"
},
"source": [
"from shapely.geometry import box\n",
"gdf = gpd.read_file(gdb_file, layer='sB20_LV95LN02', bbox=gpd.GeoSeries(box(-180,-90,180,90), crs='EPSG:4326', name='boundary'))\n",
"gdf.head()"
],
"execution_count": 33,
"outputs": [
{
"output_type": "execute_result",
"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>DATUM_AENDERUNG</th>\n",
" <th>DATUM_ERSTELLUNG</th>\n",
" <th>ERSTELLUNG_JAHR</th>\n",
" <th>ERSTELLUNG_MONAT</th>\n",
" <th>GEBAEUDE_NUTZUNG</th>\n",
" <th>GRUND_AENDERUNG</th>\n",
" <th>HERKUNFT</th>\n",
" <th>HERKUNFT_JAHR</th>\n",
" <th>HERKUNFT_MONAT</th>\n",
" <th>NAME_KOMPLETT</th>\n",
" <th>OBJEKTART</th>\n",
" <th>ORIGINAL_HERKUNFT</th>\n",
" <th>REVISION_JAHR</th>\n",
" <th>REVISION_MONAT</th>\n",
" <th>UUID</th>\n",
" <th>REVISION_QUALITAET</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Empty GeoDataFrame\n",
"Columns: [DATUM_AENDERUNG, DATUM_ERSTELLUNG, ERSTELLUNG_JAHR, ERSTELLUNG_MONAT, GEBAEUDE_NUTZUNG, GRUND_AENDERUNG, HERKUNFT, HERKUNFT_JAHR, HERKUNFT_MONAT, NAME_KOMPLETT, OBJEKTART, ORIGINAL_HERKUNFT, REVISION_JAHR, REVISION_MONAT, UUID, REVISION_QUALITAET, geometry]\n",
"Index: []"
]
},
"metadata": {},
"execution_count": 33
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "H_4aRwsyg8Ii"
},
"source": [
"Try to convert the boundary to the same CRS before using it as a filter:"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 322
},
"id": "Se35_qbKgwIC",
"outputId": "ea9356ef-62b7-480f-9aca-e1167384ae79"
},
"source": [
"boundary_gs = boundary_gs.to_crs('epsg:2056')\n",
"boundary_gs.plot()\n",
"boundary_gs"
],
"execution_count": 39,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"0 MULTIPOLYGON (((2676223.777 1248202.699, 26762...\n",
"Name: boundary, dtype: geometry"
]
},
"metadata": {},
"execution_count": 39
},
{
"output_type": "display_data",
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 69
},
"id": "BskYklGdhGHI",
"outputId": "40956a4a-e9b1-4e31-c332-a12dfa00aa84"
},
"source": [
"gdf = gpd.read_file(gdb_file, layer='sB20_LV95LN02', mask=boundary_gs)\n",
"gdf.head()"
],
"execution_count": 40,
"outputs": [
{
"output_type": "execute_result",
"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>DATUM_AENDERUNG</th>\n",
" <th>DATUM_ERSTELLUNG</th>\n",
" <th>ERSTELLUNG_JAHR</th>\n",
" <th>ERSTELLUNG_MONAT</th>\n",
" <th>GEBAEUDE_NUTZUNG</th>\n",
" <th>GRUND_AENDERUNG</th>\n",
" <th>HERKUNFT</th>\n",
" <th>HERKUNFT_JAHR</th>\n",
" <th>HERKUNFT_MONAT</th>\n",
" <th>NAME_KOMPLETT</th>\n",
" <th>OBJEKTART</th>\n",
" <th>ORIGINAL_HERKUNFT</th>\n",
" <th>REVISION_JAHR</th>\n",
" <th>REVISION_MONAT</th>\n",
" <th>UUID</th>\n",
" <th>REVISION_QUALITAET</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Empty GeoDataFrame\n",
"Columns: [DATUM_AENDERUNG, DATUM_ERSTELLUNG, ERSTELLUNG_JAHR, ERSTELLUNG_MONAT, GEBAEUDE_NUTZUNG, GRUND_AENDERUNG, HERKUNFT, HERKUNFT_JAHR, HERKUNFT_MONAT, NAME_KOMPLETT, OBJEKTART, ORIGINAL_HERKUNFT, REVISION_JAHR, REVISION_MONAT, UUID, REVISION_QUALITAET, geometry]\n",
"Index: []"
]
},
"metadata": {},
"execution_count": 40
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "632K1pisjRuk"
},
"source": [
"Remove Z coordinate by writing and re-reading the file:"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 475
},
"id": "6Bxcjg0yhG_W",
"outputId": "7463edca-7729-4454-af55-35d075d1ad9d"
},
"source": [
"gdf = gpd.read_file(gdb_file, layer='sB20_LV95LN02', rows=10)\n",
"gdf = gdf.to_crs('WGS84')\n",
"def _to_2d(x, y, z):\n",
" return tuple(filter(None, [x, y]))\n",
"gdf['geometry'] = gdf['geometry'].apply(lambda shape: shapely.ops.transform(_to_2d, shape))\n",
"gdf.head()"
],
"execution_count": 53,
"outputs": [
{
"output_type": "execute_result",
"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>DATUM_AENDERUNG</th>\n",
" <th>DATUM_ERSTELLUNG</th>\n",
" <th>ERSTELLUNG_JAHR</th>\n",
" <th>ERSTELLUNG_MONAT</th>\n",
" <th>GEBAEUDE_NUTZUNG</th>\n",
" <th>GRUND_AENDERUNG</th>\n",
" <th>HERKUNFT</th>\n",
" <th>HERKUNFT_JAHR</th>\n",
" <th>HERKUNFT_MONAT</th>\n",
" <th>NAME_KOMPLETT</th>\n",
" <th>OBJEKTART</th>\n",
" <th>ORIGINAL_HERKUNFT</th>\n",
" <th>REVISION_JAHR</th>\n",
" <th>REVISION_MONAT</th>\n",
" <th>UUID</th>\n",
" <th>REVISION_QUALITAET</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{447857AC-51F3-4CE6-9306-094A39EAF898}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON (((6.75538 46.61453, 6.75528 46.6...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2018-04-18T16:22:50+00:00</td>\n",
" <td>2018-04-18T16:22:42+00:00</td>\n",
" <td>2017</td>\n",
" <td>6</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td>swisstopo</td>\n",
" <td>2017</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td>swisstopo</td>\n",
" <td>2017</td>\n",
" <td>6</td>\n",
" <td>{5206BAB2-3261-4A7C-9FD9-56652159C55B}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON (((6.73981 46.60676, 6.73979 46.6...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{09158524-46BF-414F-8A49-3A41B7524D3E}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON (((6.75652 46.61221, 6.75649 46.6...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{886C31EE-A160-4E4C-8A3F-6EC2345E6794}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON (((6.74471 46.62289, 6.74463 46.6...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{F661BE6D-CD95-4019-8021-F2221C4BB332}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON (((6.77411 46.60180, 6.77403 46.6...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DATUM_AENDERUNG ... geometry\n",
"0 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON (((6.75538 46.61453, 6.75528 46.6...\n",
"1 2018-04-18T16:22:50+00:00 ... MULTIPOLYGON (((6.73981 46.60676, 6.73979 46.6...\n",
"2 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON (((6.75652 46.61221, 6.75649 46.6...\n",
"3 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON (((6.74471 46.62289, 6.74463 46.6...\n",
"4 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON (((6.77411 46.60180, 6.77403 46.6...\n",
"\n",
"[5 rows x 17 columns]"
]
},
"metadata": {},
"execution_count": 53
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "KZUV4tH-l01f"
},
"source": [
"gdf.to_file('switzerland.geojson', driver='GeoJSON')"
],
"execution_count": 51,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "0yVUWynEmVAk",
"outputId": "4a90da52-a05c-41e7-a491-87063c3d445b"
},
"source": [
"print(boundary_gs.crs)\n",
"boundary_gs"
],
"execution_count": 58,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"epsg:2056\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"0 MULTIPOLYGON (((2676223.777 1248202.699, 26762...\n",
"Name: boundary, dtype: geometry"
]
},
"metadata": {},
"execution_count": 58
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "oIEwuthimXiR"
},
"source": [
"Note that `boundary_gs` is not in the same CRS but this still works. The problem seems to be that having a Z coordinate for the geometry being filtered doesn't work."
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 492
},
"id": "Sq_7wvhNl-i9",
"outputId": "1ac79d32-782b-4d54-d0a1-4654dffd1b1c"
},
"source": [
"gdf = gpd.read_file('switzerland.geojson', boundary=boundary_gs)\n",
"print(gdf.crs)\n",
"gdf.head()"
],
"execution_count": 59,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"epsg:4326\n"
]
},
{
"output_type": "execute_result",
"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>DATUM_AENDERUNG</th>\n",
" <th>DATUM_ERSTELLUNG</th>\n",
" <th>ERSTELLUNG_JAHR</th>\n",
" <th>ERSTELLUNG_MONAT</th>\n",
" <th>GEBAEUDE_NUTZUNG</th>\n",
" <th>GRUND_AENDERUNG</th>\n",
" <th>HERKUNFT</th>\n",
" <th>HERKUNFT_JAHR</th>\n",
" <th>HERKUNFT_MONAT</th>\n",
" <th>NAME_KOMPLETT</th>\n",
" <th>OBJEKTART</th>\n",
" <th>ORIGINAL_HERKUNFT</th>\n",
" <th>REVISION_JAHR</th>\n",
" <th>REVISION_MONAT</th>\n",
" <th>UUID</th>\n",
" <th>REVISION_QUALITAET</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{447857AC-51F3-4CE6-9306-094A39EAF898}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON (((6.75538 46.61453, 6.75528 46.6...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2018-04-18T16:22:50+00:00</td>\n",
" <td>2018-04-18T16:22:42+00:00</td>\n",
" <td>2017</td>\n",
" <td>6</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td>swisstopo</td>\n",
" <td>2017</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td>swisstopo</td>\n",
" <td>2017</td>\n",
" <td>6</td>\n",
" <td>{5206BAB2-3261-4A7C-9FD9-56652159C55B}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON (((6.73981 46.60676, 6.73979 46.6...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{09158524-46BF-414F-8A49-3A41B7524D3E}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON (((6.75652 46.61221, 6.75649 46.6...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{886C31EE-A160-4E4C-8A3F-6EC2345E6794}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON (((6.74471 46.62289, 6.74463 46.6...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016-05-12T00:00:00+00:00</td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td></td>\n",
" <td>Verbessert</td>\n",
" <td></td>\n",
" <td>2014</td>\n",
" <td>6</td>\n",
" <td>None</td>\n",
" <td>Gebaeude Einzelhaus</td>\n",
" <td></td>\n",
" <td>2016</td>\n",
" <td>5</td>\n",
" <td>{F661BE6D-CD95-4019-8021-F2221C4BB332}</td>\n",
" <td>None</td>\n",
" <td>MULTIPOLYGON (((6.77411 46.60180, 6.77403 46.6...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DATUM_AENDERUNG ... geometry\n",
"0 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON (((6.75538 46.61453, 6.75528 46.6...\n",
"1 2018-04-18T16:22:50+00:00 ... MULTIPOLYGON (((6.73981 46.60676, 6.73979 46.6...\n",
"2 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON (((6.75652 46.61221, 6.75649 46.6...\n",
"3 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON (((6.74471 46.62289, 6.74463 46.6...\n",
"4 2016-05-12T00:00:00+00:00 ... MULTIPOLYGON (((6.77411 46.60180, 6.77403 46.6...\n",
"\n",
"[5 rows x 17 columns]"
]
},
"metadata": {},
"execution_count": 59
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "Z3knijb_mJhA"
},
"source": [
""
],
"execution_count": null,
"outputs": []
}
]
}
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