edges¶

Graph.edges(nbunch=None, data=False, default=None)[source]¶

Return a list of edges.

Edges are returned as tuples with optional data in the order (node, neighbor, data).

Parameters:	nbunch (iterable container, optional (default= all nodes)) – A container of nodes. The container will be iterated through once. data (string or bool, optional (default=False)) – The edge attribute returned in 3-tuple (u,v,ddict[data]). If True, return edge attribute dict in 3-tuple (u,v,ddict). If False, return 2-tuple (u,v). default (value, optional (default=None)) – Value used for edges that dont have the requested attribute. Only relevant if data is not True or False.
Returns:	edge_list – Edges that are adjacent to any node in nbunch, or a list of all edges if nbunch is not specified.
Return type:	list of edge tuples

See also

edges_iter(): return an iterator over the edges

Notes

Nodes in nbunch that are not in the graph will be (quietly) ignored. For directed graphs this returns the out-edges.

Examples

>>> G = nx.Graph()   # or DiGraph, MultiGraph, MultiDiGraph, etc
>>> G.add_path([0,1,2])
>>> G.add_edge(2,3,weight=5)
>>> G.edges()
[(0, 1), (1, 2), (2, 3)]
>>> G.edges(data=True) # default edge data is {} (empty dictionary)
[(0, 1, {}), (1, 2, {}), (2, 3, {'weight': 5})]
>>> list(G.edges_iter(data='weight', default=1))
[(0, 1, 1), (1, 2, 1), (2, 3, 5)]
>>> G.edges([0,3])
[(0, 1), (3, 2)]
>>> G.edges(0)
[(0, 1)]