geopandas.GeoDataFrame.__geo_interface__

property GeoDataFrame.__geo_interface__

Returns a GeoDataFrame as a python feature collection.

Implements the geo_interface. The returned python data structure represents the GeoDataFrame as a GeoJSON-like FeatureCollection.

This differs from _to_geo() only in that it is a property with default args instead of a method

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.__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)}

geopandas.GeoDataFrame.cx geopandas.GeoDataFrame.iterfeatures