def in_edges(self):
"""An InMultiEdgeView of the Graph as G.in_edges or G.in_edges().
in_edges(self, nbunch=None, data=False, keys=False, default=None)
Parameters
----------
nbunch : single node, container, or all nodes (default= all nodes)
The view will only report edges incident to these nodes.
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).
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
-------
in_edges : InMultiEdgeView
A view of edge attributes, usually it iterates over (u, v)
or (u, v, k) or (u, v, k, d) tuples of edges, but can also be
used for attribute lookup as `edges[u, v, k]['foo']`.
See Also
--------
edges
"""
return InMultiEdgeView(self)
def in_edges(self):
"""Return an iterator over the incoming edges.
in_edges(self, nbunch=None, data=False, keys=False, default=None)
Parameters
----------
nbunch : single node, container, or all nodes (default= all nodes)
The view will only report edges incident to these nodes.
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).
keys : bool, optional (default=False)
If True, return edge keys with each edge.
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
-------
in_edge : iterator
An iterator over (u, v), (u, v, d) or (u, v, key, d) edge tuples.
See Also
--------
edges : return an iterator over edges
"""
self.__dict__['in_edges'] = in_edges = InMultiEdgeView(self)
return in_edges