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NotesParametersRaisesReturns
bidirectional_shortest_path(G, source, target)

Notes

This algorithm is used by shortest_path(G, source, target).

Parameters

G : NetworkX graph
source : node label

starting node for path

target : node label

ending node for path

Raises

NetworkXNoPath

If no path exists between source and target.

Returns

path: list

List of nodes in a path from source to target.

Returns a list of nodes in a shortest path between source and target.

See Also

shortest_path

Examples

See :

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#187
type: <class 'function'>
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