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

 1 ```#!/usr/bin/env python ``` ```""" ``` ```================ ``` ```Degree histogram ``` ```================ ``` ``` ``` ```Draw degree histogram with matplotlib. ``` ```Random graph shown as inset ``` ```""" ``` ```import collections ``` ```import matplotlib.pyplot as plt ``` ```import networkx as nx ``` ```G = nx.gnp_random_graph(100, 0.02) ``` ```degree_sequence = sorted([d for n, d in G.degree()], reverse=True) # degree sequence ``` ```# print "Degree sequence", degree_sequence ``` ```degreeCount = collections.Counter(degree_sequence) ``` ```deg, cnt = zip(*degreeCount.items()) ``` ```fig, ax = plt.subplots() ``` ```plt.bar(deg, cnt, width=0.80, color='b') ``` ```plt.title("Degree Histogram") ``` ```plt.ylabel("Count") ``` ```plt.xlabel("Degree") ``` ```ax.set_xticks([d + 0.4 for d in deg]) ``` ```ax.set_xticklabels(deg) ``` ```# draw graph in inset ``` ```plt.axes([0.4, 0.4, 0.5, 0.5]) ``` ```Gcc = sorted(nx.connected_component_subgraphs(G), key=len, reverse=True)[0] ``` ```pos = nx.spring_layout(G) ``` ```plt.axis('off') ``` ```nx.draw_networkx_nodes(G, pos, node_size=20) ``` ```nx.draw_networkx_edges(G, pos, alpha=0.4) ``` ```plt.show() ```