networkx.algorithms.shortest_paths.weighted.dijkstra_path_length¶

dijkstra_path_length(G, source, target, weight='weight')[source]¶

Returns the shortest weighted path length in G from source to target.

Uses Dijkstra’s Method to compute the shortest weighted path length between two nodes in a graph.

Parameters:	G (NetworkX graph) source (node label) – starting node for path target (node label) – ending node for path 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.
Returns:	length – Shortest path length.
Return type:	number
Raises:	`NetworkXNoPath` – If no path exists between source and target.

Examples

>>> G=nx.path_graph(5)
>>> print(nx.dijkstra_path_length(G,0,4))
4

Notes

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

The weight function can be used to hide edges by returning None. So weight = lambda u, v, d: 1 if d['color']=="red" else None will find the shortest red path.