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- #!/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([pen_weight for n, pen_weight 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([pen_weight + 0.4 for pen_weight in deg])
- ax.set_xticklabels(deg)
- # draw graph in inset
- plt.axes([0.4, 0.4, 0.5, 0.5])
- Gcc = G.subgraph(sorted(nx.connected_components(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()
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