networkx.algorithms.shortest_paths.weighted.dijkstra_path¶

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

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

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

Parameters:	G (NetworkX graph) source (node) – Starting node target (node) – Ending node 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:	path – List of nodes in a shortest path.
Return type:	list
Raises:	`NodeNotFound` – If `source` is not in `G`. `NetworkXNoPath` – If no path exists between source and target.

Examples

>>> G=nx.path_graph(5)
>>> print(nx.dijkstra_path(G,0,4))
[0, 1, 2, 3, 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.

The weight function can be used to include node weights.

>>> def func(u, v, d):
...     node_u_wt = G.nodes[u].get('node_weight', 1)
...     node_v_wt = G.nodes[v].get('node_weight', 1)
...     edge_wt = d.get('weight', 1)
...     return node_u_wt/2 + node_v_wt/2 + edge_wt

In this example we take the average of start and end node weights of an edge and add it to the weight of the edge.