dynetx.DynGraph.to_directed

DynGraph.to_directed(**kwargs)

Return a directed representation of the graph.

Returns

GDynDiGraph

A dynamic 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).

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=DynDiGraph(G) which returns a shallow copy of the data.

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

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

Examples

>>> import dynetx as dn
>>> G = dn.DynGraph()   # or MultiGraph, etc
>>> G.add_path([0,1])
>>> H = G.to_directed()
>>> H.edges()
[(0, 1), (1, 0)]

If already directed, return a (deep) copy

>>> G = dn.DynDiGraph()   # or MultiDiGraph, etc
>>> G.add_path([0,1])
>>> H = G.to_directed()
>>> H.edges()
[(0, 1)]