momepy.mean_node_degree#

momepy.mean_node_degree(graph, radius=5, name='mean_nd', degree='degree', distance=None, verbose=True)[source]#

Calculates mean node degree for subgraph around each node if radius is set, or for whole graph, if radius=None. A subgraph is generated around each node within set radius. If distance=None, radius will define topological distance, otherwise it uses values in distance attribute.

Parameters
graphnetworkx.Graph

A Graph representing a street network. Ideally generated from GeoDataFrame using momepy.gdf_to_nx().

radius: int

Include all neighbors of distance <= radius from n.

namestr, optional

The calculated attribute name.

degreestr

The name of attribute of node degree (momepy.node_degree()).

distancestr, optional

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.

verbosebool (default True)

If True, shows progress bars in loops and indication of steps.

Returns
netxGraph

A networkx.Graph object if radius is set.

float

The mean node degree for the graph if radius=None.

Examples

>>> network_graph = mm.mean_node_degree(network_graph, radius=3)