geopandas.GeoDataFrame.from_features

classmethod GeoDataFrame.from_features(features, crs=None, columns=None)

Alternate constructor to create GeoDataFrame from an iterable of features or a feature collection.

Parameters

features

• Iterable of features, where each element must be a feature dictionary or implement the __geo_interface__.

• Feature collection, where the ‘features’ key contains an iterable of features.

• Object holding a feature collection that implements the __geo_interface__.

crsstr or dict (optional)

Coordinate reference system to set on the resulting frame.

columnslist of column names, optional

Optionally specify the column names to include in the output frame. This does not overwrite the property names of the input, but can ensure a consistent output format.

Returns

GeoDataFrame

Notes

For more information about the __geo_interface__, see https://gist.github.com/sgillies/2217756

Examples

>>> feature_coll = {
...     "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),
... }
>>> df = geopandas.GeoDataFrame.from_features(feature_coll)
>>> df
                  geometry   col1
0  POINT (1.00000 2.00000)  name1
1  POINT (2.00000 1.00000)  name2

geopandas.GeoDataFrame.from_file geopandas.GeoDataFrame.from_postgis