networkx.MultiDiGraph.to_directed¶

MultiDiGraph.
to_directed
(as_view=False)¶ Returns a directed representation of the graph.
Returns: G – A directed graph with the same name, same nodes, and with each edge (u, v, data) replaced by two directed edges (u, v, data) and (v, u, data). Return type: MultiDiGraph 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 D=DiGraph(G) 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/2/library/copy.html.
Warning: If you have subclassed MultiGraph to use dictlike objects in the data structure, those changes do not transfer to the MultiDiGraph created by this method.
Examples
>>> G = nx.Graph() # or MultiGraph, etc >>> G.add_edge(0, 1) >>> H = G.to_directed() >>> list(H.edges) [(0, 1), (1, 0)]
If already directed, return a (deep) copy
>>> G = nx.DiGraph() # or MultiDiGraph, etc >>> G.add_edge(0, 1) >>> H = G.to_directed() >>> list(H.edges) [(0, 1)]