如何用网络图展示带有一定权重的邻居节点？

1. 导入networkx库和matplotlib库

import networkx as nx import matplotlib.pyplot as plt

2. 创建带权重的图

G = nx.Graph() G.add_edge('A', 'B', weight=0.6) G.add_edge('A', 'C', weight=0.2) G.add_edge('C', 'D', weight=0.1) G.add_edge('C', 'E', weight=0.7) G.add_edge('E', 'F', weight=0.9)

3. 创建节点的位置

pos = nx.spring_layout(G)

4. 获取边的权重

edge_labels=dict([((u,v,),d['weight']) for u,v,d in G.edges(data=True)])

5. 绘制节点和边

nx.draw_networkx_nodes(G, pos, node_size=700) nx.draw_networkx_edges(G, pos) nx.draw_networkx_labels(G, pos) nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels)

6. 显示图像

plt.axis('off') plt.show()