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MultiDiGraph.edges_iter(nbunch=None, data=False, keys=False)

Return an iterator over the edges.

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

If True, return edge attribute dict with each edge.

keys : bool, optional (default=False)

If True, return edge keys with each edge.

Returns :

edge_iter : iterator

An iterator of (u,v), (u,v,d) or (u,v,key,d) tuples of edges.

See also

return a list of edges


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


>>> G = nx.MultiDiGraph()
>>> G.add_path([0,1,2,3])
>>> [e for e in G.edges_iter()]
[(0, 1), (1, 2), (2, 3)]
>>> list(G.edges_iter(data=True)) # default data is {} (empty dict)
[(0, 1, {}), (1, 2, {}), (2, 3, {})]
>>> list(G.edges_iter([0,2]))
[(0, 1), (2, 3)]
>>> list(G.edges_iter(0))
[(0, 1)]