Calculates the proportion of intersection types for subgraph around each node if radius is set, or for
whole graph, if radius=None.
Subgraph is generated around each node within set radius. If distance=None,
radius will define topological distance, otherwise it uses values in distance
Graph representing street network.
Ideally generated from GeoDataFrame using momepy.gdf_to_nx()
Include all neighbors of distance <= radius from n
attribute name for 3-way intersections proportion
attribute name for 4-way intersections proportion
attribute name for deadends proportion
name of attribute of node degree (momepy.node_degree())
Use specified edge data key as distance.
For example, setting distance=’weight’ will use the edge weight to
measure the distance from the node n.
if True, shows progress bars in loops and indication of steps
networkx.Graph if radius is set
dict with proportions for graph if radius=None
>>> network_graph = mm.proportion(network_graph, three='threeway', four='fourway', dead='deadends')