首先输入边和边的权重，随后画出节点位置，根据权重大小划分实边和虚边

import networkx as nx

G=nx.Graph()
添加带权边
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('c','f',weight=0.9)

G.add_edge('a',weight=0.3)
按权重划分为重权值得边和轻权值的边
elarge=[(u,v) for (u,v,d) in G.edges(data=True) if d['weight'] >0.5]

esmall=[(u,d) in G.edges(data=True) if d['weight'] <=0.5]
节点位置
pos=nx.spring_layout(G) # positions for all nodes
首先画出节点位置
nodes
nx.draw_networkx_nodes(G,pos,node_size=700)
根据权重，实线为权值大的边，虚线为权值小的边
edges
nx.draw_networkx_edges(G,edgelist=elarge,width=6)

nx.draw_networkx_edges(G,edgelist=esmall,width=6,alpha=0.5,edge_color='b',style='dashed')
labels标签定义
nx.draw_networkx_labels(G,font_size=20,font_family='sans-serif')
plt.axis('off')

plt.savefig("weighted_graph.png") # save as png

plt.show() # display

（编辑：李大同）

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