您好, 欢迎来到 !    登录 | 注册 | | 设为首页 | 收藏本站

python—networkx:根据图的权重画图

5b51 2022/1/14 8:25:24 python 字数 4604 阅读 851 来源 www.jb51.cc/python

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 #coding:utf-8

概述

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

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('c','f',weight=0.9)
G.add_edge('a',weight=0.3)

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]

pos=nx.spring_layout(G) # positions for all nodes

nx.draw_networkx_nodes(G,pos,node_size=700)

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')

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

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('c','f',weight=0.9)
G.add_edge('a',weight=0.3)

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]

pos=nx.spring_layout(G) # positions for all nodes

nx.draw_networkx_nodes(G,pos,node_size=700)

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')

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

总结

以上是编程之家为你收集整理的python—networkx:根据图的权重画图全部内容,希望文章能够帮你解决python—networkx:根据图的权重画图所遇到的程序开发问题。


如果您也喜欢它,动动您的小指点个赞吧

除非注明,文章均由 laddyq.com 整理发布,欢迎转载。

转载请注明:
链接:http://laddyq.com
来源:laddyq.com
著作权归作者所有。商业转载请联系作者获得授权,非商业转载请注明出处。


联系我
置顶