dask_geopandas.GeoDataFrame.set_geometry#

GeoDataFrame.set_geometry(col)#

Set the GeoDataFrame geometry using either an existing column or the specified input. By default yields a new object.

This docstring was copied from geopandas.geodataframe.GeoDataFrame.set_geometry.

Some inconsistencies with the Dask version may exist.

The original geometry column is replaced with the input.

Parameters:
colcolumn label or array
dropboolean, default False (Not supported in Dask)

Delete column to be used as the new geometry

inplaceboolean, default False (Not supported in Dask)

Modify the GeoDataFrame in place (do not create a new object)

crspyproj.CRS, optional (Not supported in Dask)

Coordinate system to use. The value can be anything accepted by pyproj.CRS.from_user_input(), such as an authority string (eg “EPSG:4326”) or a WKT string. If passed, overrides both DataFrame and col’s crs. Otherwise, tries to get crs from passed col values or DataFrame.

Returns:
GeoDataFrame

See also

GeoDataFrame.rename_geometry

rename an active geometry column

Examples

>>> from shapely.geometry import Point  
>>> d = {'col1': ['name1', 'name2'], 'geometry': [Point(1, 2), Point(2, 1)]}  
>>> gdf = geopandas.GeoDataFrame(d, crs="EPSG:4326")  
>>> gdf  
    col1                 geometry
0  name1  POINT (1.00000 2.00000)
1  name2  POINT (2.00000 1.00000)

Passing an array:

>>> df1 = gdf.set_geometry([Point(0,0), Point(1,1)])  
>>> df1  
    col1                 geometry
0  name1  POINT (0.00000 0.00000)
1  name2  POINT (1.00000 1.00000)

Using existing column:

>>> gdf["buffered"] = gdf.buffer(2)  
>>> df2 = gdf.set_geometry("buffered")  
>>> df2.geometry  
0    POLYGON ((3.00000 2.00000, 2.99037 1.80397, 2....
1    POLYGON ((4.00000 1.00000, 3.99037 0.80397, 3....
Name: buffered, dtype: geometry