python—networkx：求图的平均路径长度并画出直方图

概述<prestyle=\"overflow:auto;line-height:1.5;font-family:Inconsolata,Monaco,Consolas,monospace;background-color:rgb(255,255,255);\"><spanclass=\"c\"style=\"font-style:it

<pre ><span ><span ><h1 ><span >要绘制一个动态网络，到处找资料，收集相关的networkx绘图资料，计算路径的代码如下：<h1 >NetworkX Examples—<span >BASIC——propertIEs<span >

<code >#!/usr/bin/env python
"""
Compute some network propertIEs for the lollipop graph.
"""
copyright (C) 2004 byAric Hagberg [email protected] Schult [email protected] Swart [email protected] rights reserved.BSD license.
from networkx import *
G = lollipop_graph(4,6)
pathlengths=[]
单源最短路径算法求出节点v到图G每个节点的最短路径，存入pathlengths
print("source vertex {target:length,}")
for v in G.nodes():
spl=single_source_shortest_path_length(G,v)
print('%s %s' % (v,spl))
for p in spl.values():
pathlengths.append(p)
取出每条路径，计算平均值。
print('')print("average shortest path length %s" % (sum(pathlengths)/len(pathlengths)))
路径长度直方图，如果路径不存在，设为1，如果已经存在过一次，则原先基础上加1histogram of path lengths
dist={}
for p in pathlengths:
if p in dist:
dist[p]+=1
else:
dist[p]=1
print('')
print("length #paths")
verts=dist.keys()
for d in sorted(verts):
print('%s %d' % (d,dist[d]))
内嵌函数求图G的多个属性
print("radius: %d" % radius(G))
print("diameter: %d" % diameter(G))
print("eccentricity: %s" % eccentricity(G))
print("center: %s" % center(G))
print("periphery: %s" % periphery(G))
print("density: %s" % density(G))

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