在Networkx和Graphviz中为特定节点着色 [英] Color a particular node in Networkx and Graphviz

问题描述

我正在编写一个程序来绘制距离矩阵的图形。它工作正常。
现在我想要一个特定的节点和一个特定的边缘是我选择的特定颜色。我该怎么做？

这个程序使用Python，使用Networkx和Graphviz

  import networkx as nx 
 import numpy as np 
 import pickle 
 from random import randint 
 
 p_file = open（'pickles / distance'）
 Dist = pickle.load（p_file）
 p_file.close（）
 p_file = open（'pickles / names'）
 Names = pickle.load（p_file）
 p_file.close（）
 
 dt = [（'len'，float）] 
 A = np.array（Dist）* 5 
 A = A.view（dt） 
 
 G = nx.from_numpy_matrix（A）
 G = nx.relabel_nodes（G，dict（zip（range（len（G.nodes（））），Names）））
 
 G = nx.to_agraph（G）
 G.node_attr.update（ndcolor =red，node =DC，style =filled）
 G.edge_attr。 update（color =none）
 G.draw（'P1.png'，format ='png'，prog ='neato'）
   http://www.graphviz.org/content/attrs  
 导入networkx为nx 
 G = nx.Graph（）
 
 G.add_node（1，color ='red '，style ='filled'，fillcolor ='blue'，shape ='square'）
 G.add_node（2，color ='blue'，style ='filled'）
 G.add_edge 1,2，color ='green'）
 G.node [2] ['shape'] ='circle'
 G.node [2] ['fillcolor'] ='red'
 
 A = nx.to_agraph（G）
 A.layout（）
 A.draw（'color.png'）
 print A.to_string（）
  
给出
 严格图{
图[bb =0,0,107.21,46.639]; 
 node [label =\N]; 
 1 [color = red，
 fillcolor = blue，
 height = 0.5，
 pos =18,28.639，
 shape = square，
 style = filled，
 width = 0.5]; 
 2 [color = blue，
 fillcolor = red，
 height = 0.5，
 pos =89.21,18，
 shape = circle，
 style = filled，
 width = 0.5]; 
 1  -  2 [color = green，
 pos =36.338,25.899 47.053,24.298 60.519,22.286 71.18,20.694]; 
} 
  
  
 
I am writing a program to plot a graph from a distance matrix. It is working fine.
Now I want a certain node and a certain edge to be of a particular color of my choice. How do I do that?

The program is in Python and uses Networkx and Graphviz
import networkx as nx
import numpy as np
import pickle
from random import randint

p_file = open('pickles/distance')
Dist = pickle.load(p_file)
p_file.close()
p_file = open('pickles/names')
Names = pickle.load(p_file)
p_file.close()

dt = [('len', float)]
A = np.array(Dist)*5
A = A.view(dt)

G = nx.from_numpy_matrix(A)
G = nx.relabel_nodes(G, dict(zip(range(len(G.nodes())),Names)))    

G = nx.to_agraph(G)
G.node_attr.update(ndcolor="red", node="DC", style="filled")
G.edge_attr.update(color="none")
G.draw('P1.png', format='png', prog='neato')

解决方案
Since you are using Graphviz to do the drawing you need to use the attributes that Graphviz understands.  See http://www.graphviz.org/content/attrs
import networkx as nx
G = nx.Graph()

G.add_node(1,color='red',style='filled',fillcolor='blue',shape='square')
G.add_node(2,color='blue',style='filled')
G.add_edge(1,2,color='green')
G.node[2]['shape']='circle'
G.node[2]['fillcolor']='red'

A = nx.to_agraph(G)
A.layout()
A.draw('color.png')
print A.to_string()
Gives
strict graph {
    graph [bb="0,0,107.21,46.639"];
    node [label="\N"];
    1    [color=red,
        fillcolor=blue,
        height=0.5,
        pos="18,28.639",
        shape=square,
        style=filled,
        width=0.5];
    2    [color=blue,
        fillcolor=red,
        height=0.5,
        pos="89.21,18",
        shape=circle,
        style=filled,
        width=0.5];
    1 -- 2   [color=green,
        pos="36.338,25.899 47.053,24.298 60.519,22.286 71.18,20.694"];
}


                        
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