single_source_bellman_ford_path_length(G, source, weight='weight')
Edge weight attributes must be numerical. Distances are calculated as sums of weighted edges traversed.
Starting node for path
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 :None:None:`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.
If :None:None:`source` is not in G.
(target, shortest path length) iterator
Compute the shortest path length between source and all other reachable nodes for a weighted graph.
>>> G = nx.path_graph(5)
... length = dict(nx.single_source_bellman_ford_path_length(G, 0))
... length[4] 4
>>> for node in [0, 1, 2, 3, 4]:See :
... print(f"{node}: {length[node]}") 0: 0 1: 1 2: 2 3: 3 4: 4
The following pages refer to to this document either explicitly or contain code examples using this.
networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford_path_length
networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford
networkx.algorithms.shortest_paths.generic.shortest_path_length
networkx.algorithms.shortest_paths.weighted.single_source_dijkstra_path_length
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