Warning
This documents an unmaintained version of NetworkX. Please upgrade to a maintained version and see the current NetworkX documentation.
weakly_connected_component_subgraphs¶
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weakly_connected_component_subgraphs
(G, copy=True)[source]¶ Generate weakly connected components as subgraphs.
Parameters: - G (NetworkX graph) – A directed graph.
- copy (bool (default=True)) – If True make a copy of the graph attributes
Returns: comp – A generator of graphs, one for each weakly connected component of G.
Return type: generator
Examples
Generate a sorted list of weakly connected components, largest first.
>>> G = nx.path_graph(4, create_using=nx.DiGraph()) >>> G.add_path([10, 11, 12]) >>> [len(c) for c in sorted(nx.weakly_connected_component_subgraphs(G), ... key=len, reverse=True)] [4, 3]
If you only want the largest component, it’s more efficient to use max instead of sort.
>>> Gc = max(nx.weakly_connected_component_subgraphs(G), key=len)
See also
strongly_connected_components()
,connected_components()
Notes
For directed graphs only. Graph, node, and edge attributes are copied to the subgraphs by default.