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networkx.algorithms.components.strongly_connected_component_subgraphs

strongly_connected_component_subgraphs(G, copy=True)[source]

Generate strongly connected components as subgraphs.

Parameters:
  • G (NetworkX Graph) – A directed graph.
  • copy (boolean, optional) – if copy is True, Graph, node, and edge attributes are copied to the subgraphs.
Returns:

comp – A generator of graphs, one for each strongly connected component of G.
Return type:

generator of graphs
Raises:

NetworkXNotImplemented: – If G is undirected.

Examples

Generate a sorted list of strongly connected components, largest first.

>>> G = nx.cycle_graph(4, create_using=nx.DiGraph())
>>> nx.add_cycle(G, [10, 11, 12])
>>> [len(Gc) for Gc in sorted(nx.strongly_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.strongly_connected_component_subgraphs(G), key=len)

See also

strongly_connected_components(), connected_component_subgraphs(), weakly_connected_component_subgraphs()