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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’).
Returns: G – A minimum spanning tree or forest.
Return type: NetworkX Graph
Examples
>>> G=nx.cycle_graph(4) >>> G.add_edge(0,3,weight=2) # assign weight 2 to edge 03 >>> 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.