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Note

This documents the development version of NetworkX. Documentation for the current release can be found here.

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Coloring

greedy_color(G[, strategy, interchange])	Color a graph using various strategies of greedy graph coloring.
equitable_color(G, num_colors)	Provides equitable (r + 1)-coloring for nodes of G in O(r * n^2) time if deg(G) <= r.

Some node ordering strategies are provided for use with greedy_color().

strategy_connected_sequential(G, colors[, …])	Returns an iterable over nodes in G in the order given by a breadth-first or depth-first traversal.
strategy_connected_sequential_dfs(G, colors)	Returns an iterable over nodes in G in the order given by a depth-first traversal.
strategy_connected_sequential_bfs(G, colors)	Returns an iterable over nodes in G in the order given by a breadth-first traversal.
strategy_independent_set(G, colors)	Uses a greedy independent set removal strategy to determine the colors.
strategy_largest_first(G, colors)	Returns a list of the nodes of G in decreasing order by degree.
strategy_random_sequential(G, colors[, seed])	Returns a random permutation of the nodes of G as a list.
strategy_saturation_largest_first(G, colors)	Iterates over all the nodes of G in “saturation order” (also known as “DSATUR”).
strategy_smallest_last(G, colors)	Returns a deque of the nodes of G, “smallest” last.