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## iof-tools / networkxMiCe / networkx-master / examples / drawing / plot_directed.py @ 5cef0f13

 1 ```#! /usr/bin/env python ``` ```""" ``` ```============== ``` ```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. ``` ```""" ``` ```# Author: Rodrigo Dorantes-Gilardi (rodgdor@gmail.com) ``` ```from __future__ import division ``` ```import matplotlib as mpl ``` ```import matplotlib.pyplot as plt ``` ```import networkx as nx ``` ```G = nx.generators.directed.random_k_out_graph(10, 3, 0.5) ``` ```pos = nx.layout.spring_layout(G) ``` ```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)] ``` ```nodes = nx.draw_networkx_nodes(G, pos, node_size=node_sizes, node_color='blue') ``` ```edges = nx.draw_networkx_edges(G, pos, node_size=node_sizes, arrowstyle='->', ``` ``` arrowsize=10, edge_color=edge_colors, ``` ``` edge_cmap=plt.cm.Blues, 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=plt.cm.Blues) ``` ```pc.set_array(edge_colors) ``` ```plt.colorbar(pc) ``` ```ax = plt.gca() ``` ```ax.set_axis_off() ``` ```plt.show() ```