networkx.Graph.has_edge¶
-
Graph.
has_edge
(u, v)[source]¶ Returns True if the edge (u, v) is in the graph.
This is the same as
v in G[u]
without KeyError exceptions.- Parameters
u, v (nodes) – Nodes can be, for example, strings or numbers. Nodes must be hashable (and not None) Python objects.
- Returns
edge_ind – True if edge is in the graph, False otherwise.
- Return type
Examples
>>> G = nx.path_graph(4) # or DiGraph, MultiGraph, MultiDiGraph, etc >>> G.has_edge(0, 1) # using two nodes True >>> e = (0, 1) >>> G.has_edge(*e) # e is a 2-tuple (u, v) True >>> e = (0, 1, {'weight':7}) >>> G.has_edge(*e[:2]) # e is a 3-tuple (u, v, data_dictionary) True
The following syntax are equivalent:
>>> G.has_edge(0, 1) True >>> 1 in G[0] # though this gives KeyError if 0 not in G True