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

First, you enter the weights for edges and edges, and then you draw the node position. Dividing real and imaginary edges by weight size

#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 netw Orkx as Nxg=nx. Graph () #加入带权边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) #依据权重, 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 

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