Python-networkx: Drawing According to the weight of the graph

First, the weights of the edges and edges are entered, then the node positions are drawn, and the real and imaginary edges are divided according to the weight size.

<pre name= "code" class= "Python" > #coding: Utf-8#!/usr/bin/env Python "" "An example using Graph as a weighted network." "" __author__ = "" "Aric Hagberg ([email protected])" "" Try:import Matplotlib.pyplot as Pltexcept:raiseimport NE Tworkx as Nxg=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 ', ' d ', 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,v) for (u,v,d) in G.edges (data=true) if d[' weigh T '] <=0.5] #节点位置pos =nx.spring_layout (G) # Positions for all nodes# first draw the node position # nodesnx.draw_networkx_nodes (g,pos,node_ size=700) #根据权重, a solid line is a weight-weighted edge, and dashed lines are weighted small edges # edgesnx.draw_networkx_edges (g,pos,edgelist=elarge, width=6) nx.draw_ne Tworkx_edges (G,pos,edgelist=esmall, width=6,alpha=0.5,edge_color= ' B ', style= ' dashed ') # labels label definition Nx.draw _networkx_labels (G,POS,FONT_SIZE=20,FOnt_family= ' Sans-serif ') plt.axis (' Off ') plt.savefig ("Weighted_graph.png") # Save As Pngplt.show () # Display 

Copyright NOTICE: Welcome reprint, Reprint please indicate the source http://blog.csdn.net/ztf312/

Python-networkx: Drawing According to the weight of the graph