我有一个多边形的特征集,我必须首先将它写在一个临时文件中然后用geopandas.GeoDataFrame.from_file(tmp_json_file)
加载它,有没有办法不写临时文件并只创建{{1来自GeoDataFrame
对象?
答案 0 :(得分:10)
您可以使用GeoDataFrame.from_features()
功能。一个小例子(假设你有一个geojson FeatureCollection):
In [1]: from geojson import Feature, Point, FeatureCollection
In [2]: my_feature = Feature(geometry=Point((1.6432, -19.123)), properties={"country": "Spain"})
In [3]: my_other_feature = Feature(geometry=Point((-80.234, -22.532)), properties={'country': 'Brazil'})
In [4]: collection = FeatureCollection([my_feature, my_other_feature])
In [6]: import geopandas
In [7]: geopandas.GeoDataFrame.from_features(collection['features'])
Out[7]:
country geometry
0 Spain POINT (1.6432 -19.123)
1 Brazil POINT (-80.234 -22.532)