python—networkx：画随机几何图，找出中心节点并按路径长度染色 -清零世界

概述

<code class="language-python"><pre name="code" class="python">#coding:utf-8

import networkx as nx

import matplotlib.pyplot as plt
G=nx.random_geometric_graph(200,0.125)
position is stored as node attribute data for random_geometric_graph
pos=nx.get_node_attributes(G,'pos')
find node near center (0.5,0.5)找到中心节点并求最近的节点，设为ncenter
dmin=1

ncenter=0

for n in pos:

x,y=pos[n]

d=(x-0.5)2+(y-0.5)2

if d<dmin:

ncenter=n

dmin=d
color by path length from node near center颜色定为红色，程度<span style="font-family: Arial,Helvetica,sans-serif;">按距离中心点的路径长度染色
p=nx.single_source_shortest_path_length(G,ncenter)

plt.figure(figsize=(8,8))

nx.draw_networkx_edges(G,pos,nodelist=[ncenter],alpha=0.4)

nx.draw_networkx_nodes(G,nodelist=p.keys(),node_size=80,node_color=p.values(),cmap=plt.cm.Reds_r)

plt.xlim(-0.05,1.05)

plt.ylim(-0.05,1.05)

plt.axis('off')

plt.savefig('random_geometric_graph.png')

plt.show()

G=nx.random_geometric_graph(200,0.125)

pos=nx.get_node_attributes(G,'pos')

dmin=1
ncenter=0
for n in pos:
x,y=pos[n]
d=(x-0.5)2+(y-0.5)2
if d<dmin:
ncenter=n
dmin=d

p=nx.single_source_shortest_path_length(G,ncenter)
plt.figure(figsize=(8,8))
nx.draw_networkx_edges(G,pos,nodelist=[ncenter],alpha=0.4)
nx.draw_networkx_nodes(G,nodelist=p.keys(),node_size=80,node_color=p.values(),cmap=plt.cm.Reds_r)
plt.xlim(-0.05,1.05)
plt.ylim(-0.05,1.05)
plt.axis('off')
plt.savefig('random_geometric_graph.png')
plt.show()

G=nx.random_geometric_graph(200,0.125)

pos=nx.get_node_attributes(G,'pos')

dmin=1
ncenter=0
for n in pos:
x,y=pos[n]
d=(x-0.5)2+(y-0.5)2
if d<dmin:
ncenter=n
dmin=d

总结

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python—networkx：画随机几何图，找出中心节点并按路径长度染色

概述

position is stored as node attribute data for random_geometric_graph

find node near center (0.5,0.5)找到中心节点并求最近的节点，设为ncenter

color by path length from node near center颜色定为红色，程度<span style="font-family: Arial,Helvetica,sans-serif;">按距离中心点的路径长度染色

总结

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