networkx.MultiDiGraph.out_edges¶

property
MultiDiGraph.
out_edges
¶ An OutMultiEdgeView of the Graph as G.edges or G.edges().
edges(self, nbunch=None, data=False, keys=False, default=None)
The OutMultiEdgeView provides setlike operations on the edgetuples as well as edge attribute lookup. When called, it also provides an EdgeDataView object which allows control of access to edge attributes (but does not provide setlike operations). Hence,
G.edges[u, v]['color']
provides the value of the color attribute for edge(u, v)
whilefor (u, v, c) in G.edges(data='color', default='red'):
iterates through all the edges yielding the color attribute with default'red'
if no color attribute exists.Edges are returned as tuples with optional data and keys in the order (node, neighbor, key, data).
 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 3tuple (u, v, ddict[data]). If True, return edge attribute dict in 3tuple (u, v, ddict). If False, return 2tuple (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
edges – A view of edge attributes, usually it iterates over (u, v) (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']
. Return type
EdgeView
Notes
Nodes in nbunch that are not in the graph will be (quietly) ignored. For directed graphs this returns the outedges.
Examples
>>> G = nx.MultiDiGraph() >>> nx.add_path(G, [0, 1, 2]) >>> key = G.add_edge(2, 3, weight=5) >>> [e for e in G.edges()] [(0, 1), (1, 2), (2, 3)] >>> list(G.edges(data=True)) # default data is {} (empty dict) [(0, 1, {}), (1, 2, {}), (2, 3, {'weight': 5})] >>> list(G.edges(data='weight', default=1)) [(0, 1, 1), (1, 2, 1), (2, 3, 5)] >>> list(G.edges(keys=True)) # default keys are integers [(0, 1, 0), (1, 2, 0), (2, 3, 0)] >>> list(G.edges(data=True, keys=True)) [(0, 1, 0, {}), (1, 2, 0, {}), (2, 3, 0, {'weight': 5})] >>> list(G.edges(data='weight', default=1, keys=True)) [(0, 1, 0, 1), (1, 2, 0, 1), (2, 3, 0, 5)] >>> list(G.edges([0, 2])) [(0, 1), (2, 3)] >>> list(G.edges(0)) [(0, 1)]