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Note

This documents the development version of NetworkX. Documentation for the current release can be found here.

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networkx.classes.function.selfloop_edges

selfloop_edges(G, data=False, keys=False, default=None)[source]

Returns an iterator over selfloop edges.

A selfloop edge has the same node at both ends.

Parameters

  • data (string or bool, optional (default=False)) – Return selfloop edges as two tuples (u, v) (data=False) or three-tuples (u, v, datadict) (data=True) or three-tuples (u, v, datavalue) (data=’attrname’)

  • keys (bool, optional (default=False)) – If True, return edge keys with each edge.

  • default (value, optional (default=None)) – Value used for edges that don’t have the requested attribute. Only relevant if data is not True or False.

Returns

edgeiter – An iterator over all selfloop edges.

Return type

iterator over edge tuples

See also

nodes_with_selfloops(), number_of_selfloops()

Examples

>>> G = nx.MultiGraph()  # or Graph, DiGraph, MultiDiGraph, etc
>>> ekey = G.add_edge(1, 1)
>>> ekey = G.add_edge(1, 2)
>>> list(nx.selfloop_edges(G))
[(1, 1)]
>>> list(nx.selfloop_edges(G, data=True))
[(1, 1, {})]
>>> list(nx.selfloop_edges(G, keys=True))
[(1, 1, 0)]
>>> list(nx.selfloop_edges(G, keys=True, data=True))
[(1, 1, 0, {})]