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single_source_shortest_path(G, source, cutoff=None)

Notes

The shortest path is not necessarily unique. So there can be multiple paths between the source and each target node, all of which have the same 'shortest' length. For each target node, this function returns only one of those paths.

Parameters

G : NetworkX graph
source : node label

Starting node for path

cutoff : integer, optional

Depth to stop the search. Only paths of length <= cutoff are returned.

Returns

lengths : dictionary

Dictionary, keyed by target, of shortest paths.

Compute shortest path between source and all other nodes reachable from source.

See Also

shortest_path

Examples

>>> G = nx.path_graph(5)
... path = nx.single_source_shortest_path(G, 0)
... path[4] [0, 1, 2, 3, 4]
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

networkx.algorithms.shortest_paths.generic.all_shortest_paths networkx.algorithms.shortest_paths.generic.shortest_path networkx.algorithms.shortest_paths.unweighted.single_source_shortest_path networkx.algorithms.shortest_paths.unweighted.single_target_shortest_path networkx.algorithms.shortest_paths.generic._build_paths_from_predecessors

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /networkx/algorithms/shortest_paths/unweighted.py#295
type: <class 'function'>
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