Warning

This documents an unmaintained version of NetworkX. Please upgrade to a maintained version and see the current NetworkX documentation.

edges

DiGraph.edges(nbunch=None, data=False, default=None)

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 (bool, optional (default=False)) – Return two tuples (u,v) (False) or three-tuples (u,v,data) (True).
  • Returns
  • --------
  • edge_list (list of edge tuples) – Edges that are adjacent to any node in nbunch, or a list of all edges if nbunch is not specified.

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)]