在弹簧布局中更改节点的颜色+网络x

发布于 2024-11-04 03:08:00 字数 562 浏览 2 评论 0原文

如何更改位置未知的颜色节点

所以我看到了这个 stackoverflow 上的链接，其中已给出明确设置的节点位置的答案。

但是假设我现在有一个像这样的图表

   G = nx.Graph()
   for i in range(10):
      G.add_node(i)
   for i in range(9):
      G.add_edge(i,i+1)
   pos = nx.spring_layout(G)
   node_num = random.randint(0,10)

，但是如果我有一个随机数并将其着色为蓝色，让其他的为红色......我将如何使用 nodes_list 属性来实现它>'draw_networkx' 函数它有整数节点。如果您能为任何类型的节点名称提供解决方案，那将会更有帮助......

非常感谢......

原文

How can I change the nodes of a color where the location is not known

So i have seen this link on stackoverflow where the answer has been given for an explicitly set positions of nodes.

But say i have a graph like this

   G = nx.Graph()
   for i in range(10):
      G.add_node(i)
   for i in range(9):
      G.add_edge(i,i+1)
   pos = nx.spring_layout(G)
   node_num = random.randint(0,10)

Now however if I have something as get a random number and color it blue and let others be red .... how would i implement it using nodes_list attribute of 'draw_networkx' function
This has nodes for integers. If you can give a solution for any type of node name it would be more helpful....

thanks a lot..

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幸福％小乖 2024-11-11 03:08:01

这是一些可能有帮助的代码。这会选择一个随机节点将其着色为蓝色，并将其余节点着色为红色。

import random
import matplotlib.pyplot as plt
import networkx as nx
G=nx.Graph()
G.add_edges_from([('a','b'),('b','d'),('c','e'),('b','e')])
pos=nx.spring_layout(G)
nodes=G.nodes()
random.shuffle(nodes)
blue=nodes.pop()
nx.draw_networkx_nodes(G,pos,nodelist=[blue],node_color='b')
nx.draw_networkx_nodes(G,pos,nodelist=nodes,node_color='r')
nx.draw_networkx_edges(G,pos)
plt.show()

Here is some code that might help. This choses a random node to color blue and colors the rest red.

import random
import matplotlib.pyplot as plt
import networkx as nx
G=nx.Graph()
G.add_edges_from([('a','b'),('b','d'),('c','e'),('b','e')])
pos=nx.spring_layout(G)
nodes=G.nodes()
random.shuffle(nodes)
blue=nodes.pop()
nx.draw_networkx_nodes(G,pos,nodelist=[blue],node_color='b')
nx.draw_networkx_nodes(G,pos,nodelist=nodes,node_color='r')
nx.draw_networkx_edges(G,pos)
plt.show()

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