""" ============== Directed Graph ============== Draw a graph with directed edges using a colormap and different node sizes. Edges have different colors and alphas (opacity). Drawn using matplotlib. """ import matplotlib as mpl import matplotlib.pyplot as plt import networkx as nx seed = 13648 # Seed random number generators for reproducibility G = nx.random_k_out_graph(10, 3, 0.5, seed=seed) pos = nx.spring_layout(G, seed=seed) node_sizes = [3 + 10 * i for i in range(len(G))] M = G.number_of_edges() edge_colors = range(2, M + 2) edge_alphas = [(5 + i) / (M + 4) for i in range(M)] cmap = plt.cm.plasma nodes = nx.draw_networkx_nodes(G, pos, node_size=node_sizes, node_color="indigo") edges = nx.draw_networkx_edges( G, pos, node_size=node_sizes, arrowstyle="->", arrowsize=10, edge_color=edge_colors, edge_cmap=cmap, width=2, ) # set alpha value for each edge for i in range(M): edges[i].set_alpha(edge_alphas[i]) pc = mpl.collections.PatchCollection(edges, cmap=cmap) pc.set_array(edge_colors) plt.colorbar(pc) ax = plt.gca() ax.set_axis_off() plt.show()