我正在使用python和“networkx”來隨機分配邊緣點。點頭在2個類別中，并且每個類別具有相同數(shù)量的節(jié)點。代碼正在工作，但我有一個問題：如何更改節(jié)點的顏色？現(xiàn)在，這兩個類別的節(jié)點都具有sam顏色。python和networkx：如何更改節(jié)點的顏色

import numpy as np

import networkx as nx

import matplotlib.pyplot as plt

N = int(raw_input("Enter the number of each race to be used: "))

gamma = float(raw_input("Enter the probability of same-race ties: "))

delta = float(raw_input("Enter the probability of cross-race ties: "))

connectr11 = np.zeros((N,N),dtype=np.int32)

for i in range(0,N):

dval = np.diag((np.random.random_sample(size=(N-i))

connectr11 += dval

if (i>0):

connectr11 += dval.T

##print connectr11

connectr22 = np.zeros((N,N),dtype=np.int32)

for i in range(0,N):

dval = np.diag((np.random.random_sample(size=(N-i))

connectr22 += dval

if (i>0):

connectr22 += dval.T

##print connectr22

connectr12 = np.zeros((N,N),dtype=np.int32)

for i in range(0,N):

dval = np.diag((np.random.random_sample(size=(N-i))

connectr12 += dval

if (i>0):

connectr12 += dval.T

##print connectr12

connectr21 = np.zeros((N,N),dtype=np.int32)

for i in range(0,N):

dval = np.diag((np.random.random_sample(size=(N-i))

connectr12 += dval

if (i>0):

connectr12 += dval.T

##print connectr21

concr1x=np.concatenate((connectr11, connectr12), axis=0)

concrx2=np.concatenate((connectr21, connectr22), axis=0)

concr12=np.concatenate((concr1x, concrx2), axis=1)

##print concr12

print concr12

A=np.matrix(concr12)

G=nx.from_numpy_matrix(A)

for i in range(0,N):

if i < N:

G.node[i] = 1

node_color='b'

else:

G.node[i] = 0

node_color='r'

nx.draw_circular(G, node_color=node_color)

plt.show()

+1

很多在這里與代碼圖紙的例子：http://networkx.github.io/documentation/latest/gallery.html –

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