To color the edges by weight in networkx, we can take the following steps −
import random as rd import matplotlib.pylab as plt import networkx as nx plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True G = nx.DiGraph() G.add_nodes_from([1, 2, 3, 4]) G.add_edges_from([(1, 2), (2, 3), (3, 4), (4, 1), (1, 3)]) for u, v, d in G.edges(data=True): d['weight'] = rd.random() edges, weights = zip(*nx.get_edge_attributes(G, 'weight').items()) nx.draw(G, node_color='b', edge_color=weights, width=2, with_labels=True) plt.show()