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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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Multipartite Layout

import itertools
import matplotlib.pyplot as plt
import networkx as nx

from networkx.utils import pairwise

subset_sizes = [5, 5, 4, 3, 2, 4, 4, 3]
subset_color = [
    "gold",
    "violet",
    "violet",
    "violet",
    "violet",
    "limegreen",
    "limegreen",
    "darkorange",
]


def multilayered_graph(*subset_sizes):
    extents = pairwise(itertools.accumulate((0,) + subset_sizes))
    layers = [range(start, end) for start, end in extents]
    G = nx.Graph()
    for (i, layer) in enumerate(layers):
        G.add_nodes_from(layer, layer=i)
    for layer1, layer2 in pairwise(layers):
        G.add_edges_from(itertools.product(layer1, layer2))
    return G


G = multilayered_graph(*subset_sizes)
color = [subset_color[data["layer"]] for v, data in G.nodes(data=True)]
pos = nx.multipartite_layout(G, subset_key="layer")
plt.figure(figsize=(8, 8))
nx.draw(G, pos, node_color=color, with_labels=False)
plt.axis("equal")
plt.show()