擅长:python、mysql、java
<p>使用从<code>pandas</code>和本机<code>GeoDataFrame.from_features</code>继承的常规数据帧函数的一种更惯用的方法:</p>
<pre><code>gdf = gpd.GeoDataFrame(data.json())
# features column does not need to be stored, this is just for illustration
gdf['features'] = gdf['the_geom'].apply(lambda x: {'geometry': x, 'properties': {}})
gdf2 = gpd.GeoDataFrame.from_features(gdf['features'])
gdf = gdf.set_geometry(gdf2.geometry)
gdf.head()
</code></pre>