geopandas.GeoDataFrame.__geo_interface__#
- property GeoDataFrame.__geo_interface__[source]#
Returns a
GeoDataFrame
as a python feature collection.Implements the geo_interface. The returned python data structure represents the
GeoDataFrame
as a GeoJSON-likeFeatureCollection
.This differs from
to_geo_dict()
only in that it is a property with default args instead of a method.CRS of the dataframe is not passed on to the output, unlike
to_json()
.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 2) 1 name2 POINT (2 1)
>>> gdf.__geo_interface__ {'type': 'FeatureCollection', 'features': [{'id': '0', 'type': 'Feature', 'properties': {'col1': 'name1'}, 'geometry': {'type': 'Point', 'coordinates': (1.0, 2.0)}, 'bbox': (1.0, 2.0, 1.0, 2.0)}, {'id': '1', 'type': 'Feature', 'properties': {'col1': 'name2'}, 'geometry': {'type': 'Point', 'coordinates': (2.0, 1.0)}, 'bbox': (2.0, 1.0, 2.0, 1.0)}], 'bbox': (1.0, 1.0, 2.0, 2.0)}