networkx.MultiGraph.get_edge_data

MultiGraph.get_edge_data(u, v, key=None, default=None)

Returns the attribute dictionary associated with edge (u, v).

This is identical to G[u][v][key] except the default is returned instead of an exception is the edge doesn’t exist.

Parameters

• u, v (nodes)

• default (any Python object (default=None)) – Value to return if the edge (u, v) is not found.

• key (hashable identifier, optional (default=None)) – Return data only for the edge with specified key.

Returns

edge_dict – The edge attribute dictionary.

Return type

dictionary

Examples

>>> G = nx.MultiGraph()  # or MultiDiGraph
>>> key = G.add_edge(0, 1, key="a", weight=7)
>>> G[0][1]["a"]  # key='a'
{'weight': 7}
>>> G.edges[0, 1, "a"]  # key='a'
{'weight': 7}

Warning: we protect the graph data structure by making G.edges and G[1][2] read-only dict-like structures. However, you can assign values to attributes in e.g. G.edges[1, 2, 'a'] or G[1][2]['a'] using an additional bracket as shown next. You need to specify all edge info to assign to the edge data associated with an edge.

>>> G[0][1]["a"]["weight"] = 10
>>> G.edges[0, 1, "a"]["weight"] = 10
>>> G[0][1]["a"]["weight"]
10
>>> G.edges[1, 0, "a"]["weight"]
10

>>> G = nx.MultiGraph()  # or MultiDiGraph
>>> nx.add_path(G, [0, 1, 2, 3])
>>> G.get_edge_data(0, 1)
{0: {}}
>>> e = (0, 1)
>>> G.get_edge_data(*e)  # tuple form
{0: {}}
>>> G.get_edge_data("a", "b", default=0)  # edge not in graph, return 0
0