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rutgerhofste/geopandas dissolve

Created February 16, 2018 17:54
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geopandas dissolve
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import geopandas as gpd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from shapely.geometry import Polygon\n",
"\n",
"polys1 = gpd.GeoSeries([Polygon([(0,0), (2,0), (2,2), (0,2)]),\n",
" Polygon([(2,2), (4,2), (4,4), (2,4)])])\n",
"\n",
"\n",
"polys2 = gpd.GeoSeries([Polygon([(1,1), (3,1), (3,3), (1,3)]),\n",
" Polygon([(3,3), (5,3), (5,5), (3,5)]),\n",
" Polygon([(0,4), (1,4), (1,5), (0,5)])])\n",
"\n",
"\n",
"df1 = gpd.GeoDataFrame({'geometry': polys1, 'df1':[1,2]})\n",
"\n",
"df2 = gpd.GeoDataFrame({'geometry': polys2, 'df2':[1,2,3]})"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>df1</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>POLYGON ((0 0, 2 0, 2 2, 0 2, 0 0))</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>POLYGON ((2 2, 4 2, 4 4, 2 4, 2 2))</td>\n",
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" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" df1 geometry\n",
"0 1 POLYGON ((0 0, 2 0, 2 2, 0 2, 0 0))\n",
"1 2 POLYGON ((2 2, 4 2, 4 4, 2 4, 2 2))"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df1"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
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" <th></th>\n",
" <th>df2</th>\n",
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" <tr>\n",
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" <td>2</td>\n",
" <td>POLYGON ((3 3, 5 3, 5 5, 3 5, 3 3))</td>\n",
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" <th>2</th>\n",
" <td>3</td>\n",
" <td>POLYGON ((0 4, 1 4, 1 5, 0 5, 0 4))</td>\n",
" </tr>\n",
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"</table>\n",
"</div>"
],
"text/plain": [
" df2 geometry\n",
"0 1 POLYGON ((1 1, 3 1, 3 3, 1 3, 1 1))\n",
"1 2 POLYGON ((3 3, 5 3, 5 5, 3 5, 3 3))\n",
"2 3 POLYGON ((0 4, 1 4, 1 5, 0 5, 0 4))"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df2"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def explode(gdf):\n",
" \"\"\" \n",
" Will explode the geodataframe's muti-part geometries into single \n",
" geometries. Each row containing a multi-part geometry will be split into\n",
" multiple rows with single geometries, thereby increasing the vertical size\n",
" of the geodataframe. The index of the input geodataframe is no longer\n",
" unique and is replaced with a multi-index. \n",
"\n",
" The output geodataframe has an index based on two columns (multi-index) \n",
" i.e. 'level_0' (index of input geodataframe) and 'level_1' which is a new\n",
" zero-based index for each single part geometry per multi-part geometry\n",
" \n",
" Args:\n",
" gdf (gpd.GeoDataFrame) : input geodataframe with multi-geometries\n",
" \n",
" Returns:\n",
" gdf (gpd.GeoDataFrame) : exploded geodataframe with each single \n",
" geometry as a separate entry in the \n",
" geodataframe. The GeoDataFrame has a multi-\n",
" index set to columns level_0 and level_1\n",
" \n",
" \"\"\"\n",
" gs = gdf.explode()\n",
" gdf2 = gs.reset_index().rename(columns={0: 'geometry'})\n",
" gdf_out = gdf2.merge(gdf.drop('geometry', axis=1), left_on='level_0', right_index=True)\n",
" gdf_out = gdf_out.set_index(['level_0', 'level_1']).set_geometry('geometry')\n",
" gdf_out.crs = gdf.crs\n",
" return gdf_out"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df_all = df1.append(df2,ignore_index=True)\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
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" <th>geometry</th>\n",
" <th>group</th>\n",
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" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1.0</td>\n",
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" <td>1</td>\n",
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" <th>1</th>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" <td>POLYGON ((2 2, 4 2, 4 4, 2 4, 2 2))</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>NaN</td>\n",
" <td>1.0</td>\n",
" <td>POLYGON ((1 1, 3 1, 3 3, 1 3, 1 1))</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>POLYGON ((3 3, 5 3, 5 5, 3 5, 3 3))</td>\n",
" <td>1</td>\n",
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" <tr>\n",
" <th>4</th>\n",
" <td>NaN</td>\n",
" <td>3.0</td>\n",
" <td>POLYGON ((0 4, 1 4, 1 5, 0 5, 0 4))</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" df1 df2 geometry group\n",
"0 1.0 NaN POLYGON ((0 0, 2 0, 2 2, 0 2, 0 0)) 1\n",
"1 2.0 NaN POLYGON ((2 2, 4 2, 4 4, 2 4, 2 2)) 1\n",
"2 NaN 1.0 POLYGON ((1 1, 3 1, 3 3, 1 3, 1 1)) 1\n",
"3 NaN 2.0 POLYGON ((3 3, 5 3, 5 5, 3 5, 3 3)) 1\n",
"4 NaN 3.0 POLYGON ((0 4, 1 4, 1 5, 0 5, 0 4)) 1"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_all"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df_all[\"group\"] = 1\n",
"dissolved = df_all.dissolve(by=\"group\")\n",
"gdf_out = explode(dissolved)\n",
"gdf_out2 = gdf_out.reset_index()\n",
"gdf_out2"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
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" <th></th>\n",
" <th>level_0</th>\n",
" <th>level_1</th>\n",
" <th>geometry</th>\n",
" <th>df1</th>\n",
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" <td>1</td>\n",
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" <td>1.0</td>\n",
" <td>1.0</td>\n",
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" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" level_0 level_1 geometry df1 \\\n",
"0 1 0 POLYGON ((2 1, 2 0, 0 0, 0 2, 1 2, 1 3, 2 3, 2... 1.0 \n",
"1 1 1 POLYGON ((0 4, 0 5, 1 5, 1 4, 0 4)) 1.0 \n",
"\n",
" df2 \n",
"0 1.0 \n",
"1 1.0 "
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gdf_out2"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f68952fd8d0>"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gdf_out2.plot(column='level_1')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
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