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Note

This documents the development version of NetworkX. Documentation for the current release can be found here.

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networkx.Graph.to_undirected

Graph.to_undirected(as_view=False)[source]

Returns an undirected copy of the graph.

Parameters

as_view (bool (optional, default=False)) – If True return a view of the original undirected graph.

Returns

G – A deepcopy of the graph.

Return type

Graph/MultiGraph

See also

Graph(), copy(), add_edge(), add_edges_from()

Notes

This returns a “deepcopy” of the edge, node, and graph attributes which attempts to completely copy all of the data and references.

This is in contrast to the similar G = nx.DiGraph(D) which returns a shallow copy of the data.

See the Python copy module for more information on shallow and deep copies, https://docs.python.org/3/library/copy.html.

Warning: If you have subclassed DiGraph to use dict-like objects in the data structure, those changes do not transfer to the Graph created by this method.

Examples

>>> G = nx.path_graph(2)  # or MultiGraph, etc
>>> H = G.to_directed()
>>> list(H.edges)
[(0, 1), (1, 0)]
>>> G2 = H.to_undirected()
>>> list(G2.edges)
[(0, 1)]