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# networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra_path_length¶

all_pairs_dijkstra_path_length(G, cutoff=None, weight='weight')[source]

Compute shortest path lengths between all nodes in a weighted graph.

Parameters: G (NetworkX graph) cutoff (integer or float, optional) – Depth to stop the search. Only return paths with length <= cutoff. weight (string or function) – If this is a string, then edge weights will be accessed via the edge attribute with this key (that is, the weight of the edge joining u to v will be G.edges[u, v][weight]). If no such edge attribute exists, the weight of the edge is assumed to be one. If this is a function, the weight of an edge is the value returned by the function. The function must accept exactly three positional arguments: the two endpoints of an edge and the dictionary of edge attributes for that edge. The function must return a number. distance – (source, dictionary) iterator with dictionary keyed by target and shortest path length as the key value. iterator

Examples

>>> G = nx.path_graph(5)
>>> length = dict(nx.all_pairs_dijkstra_path_length(G))
>>> for node in [0, 1, 2, 3, 4]:
...     print('1 - {}: {}'.format(node, length[node]))
1 - 0: 1
1 - 1: 0
1 - 2: 1
1 - 3: 2
1 - 4: 3
>>> length
1
>>> length
0


Notes

Edge weight attributes must be numerical. Distances are calculated as sums of weighted edges traversed.

The dictionary returned only has keys for reachable node pairs.