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
打印 “度序列”, 度数序列
degreeCount = collections.Counter(degree_sequence)
deg, cnt = zip(*degreeCount.items())
fig, ax = plt.subplots()
plt.bar(deg, cnt, width=0.80, color=‘gray’)
plt.title(“Degree Histgram”)
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 = G.subgraph(sorted(nx.connected_components(G), key=len, reverse=True)[0])
pos = nx.spring_layout(G)
plt.axis(‘on’)
nx.draw_networkx_nodes(G, pos, node_size=20)
nx.draw_networkx_edges(G, pos, alpha=0.4)
plt.show()
CSDN搜索：Python Networkx实例。