GeoDataFrame.
to_json
Returns a GeoJSON representation of the GeoDataFrame as a string.
GeoDataFrame
Indicates how to output missing (NaN) values in the GeoDataFrame. See below.
Include bbox (bounds) in the geojson
Whether to retain the index of the GeoDataFrame as the id property in the generated GeoJSON. Default is False, but may want True if the index is just arbitrary row numbers.
See also
GeoDataFrame.to_file
write GeoDataFrame to file
Notes
The remaining kwargs are passed to json.dumps().
Missing (NaN) values in the GeoDataFrame can be represented as follows:
null: output the missing entries as JSON null.
null
drop: remove the property from the feature. This applies to each feature individually so that features may have different properties.
drop
keep: output the missing entries as NaN.
keep
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)
>>> gdf.to_json() '{"type": "FeatureCollection", "features": [{"id": "0", "type": "Feature", "properties": {"col1": "name1"}, "geometry": {"type": "Point", "coordinates": [1.0, 2.0]}}, {"id": "1", "type": "Feature", "properties": {"col1": "name2"}, "geometry": {"type": "Point", "coordinates": [2.0, 1.0]}}]}'
Alternatively, you can write GeoJSON to file:
>>> gdf.to_file(path, driver="GeoJSON")