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


minimum_spanning_edges(G, weight='weight', data=True)[source]

Generate edges in a minimum spanning 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. 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’).

data : bool, optional

If True yield the edge data along with the edge.

Returns :

edges : iterator

A generator that produces edges in the minimum spanning tree. The edges are three-tuples (u,v,w) where w is the weight.


Uses Kruskal’s algorithm.

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

Modified code from David Eppstein, April 2006 http://www.ics.uci.edu/~eppstein/PADS/


>>> G=nx.cycle_graph(4)
>>> G.add_edge(0,3,weight=2) # assign weight 2 to edge 0-3
>>> mst=nx.minimum_spanning_edges(G,data=False) # a generator of MST edges
>>> edgelist=list(mst) # make a list of the edges
>>> print(sorted(edgelist))
[(0, 1), (1, 2), (2, 3)]