momepy.subgraph#
- momepy.subgraph(graph, radius=5, distance=None, meshedness=True, cds_length=True, mode='sum', degree='degree', length='mm_len', mean_node_degree=True, proportion={0: True, 3: True, 4: True}, cyclomatic=True, edge_node_ratio=True, gamma=True, local_closeness=True, closeness_weight=None, node_density=True, verbose=True)[source]#
Calculates all subgraph-based characters. Generating subgraph might be a time consuming activity. If we want to use the same subgraph for more characters,
subgraph
allows this by generating subgraph and then analysing it using selected options.- 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
.- distancestr, optional
Use specified edge data key as distance. For example, setting
distance=’weight’
will use the edgeweight
to measure the distance from the noden
.- meshednessbool, default True
Calculate meshedness (
True or ``False
).- cds_lengthbool, default True
Calculate cul-de-sac length (
True or ``False
).- modestr (defualt ‘sum’)
If
'sum'
, calculate totalcds_length
, if'mean'
calculate meancds_length
.- degreestr
The name of attribute of node degree (
momepy.node_degree()
).- lengthstr, default mm_len
The name of the attribute of segment length (geographical).
- mean_node_degreebool, default True
Calculate mean node degree (
True or ``False
).- proportiondict, default {3: True, 4: True, 0: True}
Calculate proportion
{3: True/False, 4: True/False, 0: True/False}
.- cyclomaticbool, default True
Calculate cyclomatic complexity (
True or ``False
).- edge_node_ratiobool, default True
Calculate edge node ratio (
True or ``False
).- gammabool, default True
Calculate gamma index (
True or ``False
).- local_closenessbool, default True
Calculate local closeness centrality (
True or ``False
).- closeness_weightstr, optional
Use the specified edge attribute as the edge distance in shortest path calculations in closeness centrality algorithm.
- verbosebool (default True)
If
True
, shows progress bars in loops and indication of steps.
- Returns:
- netxGraph
A networkx.Graph object.
Examples
>>> network_graph = mm.subgraph(network_graph)