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This documents an unmaintained version of NetworkX. Please upgrade to a maintained version and see the current NetworkX documentation.
weakly_connected_components¶
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weakly_connected_components
(G)[source]¶ Generate weakly connected components of G.
Parameters: G (NetworkX graph) – A directed graph Returns: comp – A generator of sets of nodes, one for each weakly connected component of G. Return type: generator of sets 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_components(G), ... key=len, reverse=True)] [4, 3]
If you only want the largest component, it’s more efficient to use max instead of sort.
>>> largest_cc = max(nx.weakly_connected_components(G), key=len)
See also
strongly_connected_components()
Notes
For directed graphs only.