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This documents an unmaintained version of NetworkX. Please upgrade to a maintained version and see the current NetworkX documentation.

# minimum_spanning_tree¶

minimum_spanning_tree(G, weight='weight')[source]

Return a minimum spanning tree or forest of an undirected weighted graph.

A minimum spanning tree is a subgraph of the graph (a tree) with the minimum sum of edge weights.

If the graph is not connected a spanning forest is constructed. A spanning forest is a union of the spanning trees for each connected component of the graph.

Parameters: G (NetworkX Graph) – weight (string) – Edge data key to use for weight (default ‘weight’). G – A minimum spanning tree or forest. NetworkX Graph

Examples

>>> G=nx.cycle_graph(4)
>>> G.add_edge(0,3,weight=2) # assign weight 2 to edge 0-3
>>> T=nx.minimum_spanning_tree(G)
>>> print(sorted(T.edges(data=True)))
[(0, 1, {}), (1, 2, {}), (2, 3, {})]


Notes

Uses Kruskal’s algorithm.

If the graph edges do not have a weight attribute a default weight of 1 will be used.