save_load.py 文件源码

def gdfs_to_graph(gdf_nodes, gdf_edges):
    """
    Convert node and edge GeoDataFrames into a graph

    Parameters
    ----------
    gdf_nodes : GeoDataFrame
    gdf_edges : GeoDataFrame

    Returns
    -------
    networkx multidigraph
    """

    G = nx.MultiDiGraph()
    G.graph['crs'] = gdf_nodes.crs
    G.graph['name'] = gdf_nodes.gdf_name.rstrip('_nodes')

    # add the nodes and their attributes to the graph
    G.add_nodes_from(gdf_nodes.index)
    attributes = gdf_nodes.to_dict()
    for attribute_name in gdf_nodes.columns:
        # only add this attribute to nodes which have a non-null value for it
        attribute_values = {k:v for k, v in attributes[attribute_name].items() if pd.notnull(v)}
        nx.set_node_attributes(G, name=attribute_name, values=attribute_values)

    # add the edges and attributes that are not u, v, key (as they're added
    # separately) or null
    for _, row in gdf_edges.iterrows():
        attrs = {}
        for label, value in row.iteritems():
            if (label not in ['u', 'v', 'key']) and (isinstance(value, list) or pd.notnull(value)):
                attrs[label] = value
        G.add_edge(u=row['u'], v=row['v'], key=row['key'], **attrs)

    return G