我有关注： networkx：在draw_circular中更改节点颜色
绘制具有两个颜色节点的图片。
我有一些数据，例如：
4556 5092 0.7000
4556 4785 0.7500
4556 5397 0.7000
4556 5139 0.7500
4556 5937 0.8333
4556 6220 0.7000
4556 5139 0.7500
4556 6220 0.7063
4559 4563 0.7500
4559 4770 0.7500
4559 4837 0.7500
4559 5640 0.7500
4559 4563 0.7500
4559 4770 0.7500
4559 4837 0.7500
4559 5640 0.7500
4561 4607 1.0000
4561 4600 0.7500
4561 4562 0.7500
4561 5090 0.7500
4561 5197 1.0000
4561 5182 0.7500
4561 5937 0.7500
4561 6143 0.7500
4561 5632 1.0000
4561 5870 1.0000
4561 6220 0.6756
4561 6143 0.7500
4561 6220 0.6750
4562 4607 0.7500
4562 5197 0.7500
4562 5632 0.7500
4562 5870 0.7500
4562 6220 0.6656
4564 4837 0.7500
4564 4837 0.7500
4566 5805 0.8750
4566 5981 0.6729
4571 4919 0.7000
4571 6004 0.7500
4571 6089 0.7000
4571 6044 0.7500
4571 6041 0.7000
4571 5863 0.7500
4571 6089 0.6398
前两列是节点，第三列是边长。
我的代码是：
import matplotlib.pyplot as plt
import networkx as nx
G=nx.Graph()
filedata1 = open("1.txt",'r')
filedata2 = open("2.txt",'r')
data1_nodes = set()
data2_nodes = set()
for line in filedata2:
#print line
datas = line.split()
data2_nodes.add(datas[0])
data2_nodes.add(datas[1])
#print datas
#G.add_node(int(datas[0]))
#G.add_node(int(datas[1]))
G.add_edge(int(datas[0]),int(datas[1]),length=float(datas[2]))
#G.add_edge(datas[0],datas[1],length=datas[2])
for line in filedata1:
#print line
datas = line.split()
data1_nodes.add(datas[0])
data1_nodes.add(datas[1])
G.add_edge(int(datas[0]),int(datas[1]),length=float(datas[2]))
data1_list = list(data1_nodes)
data2_list = list(data2_nodes)
#nx.draw(G,with_lables=False,node_size=100)
print 'i have ' ,G.number_of_nodes()
#print G.nodes()
pos=nx.spring_layout(G)
#pos=nx.graphviz_layout(G)
print pos
print len(pos)
print 4789 in pos
nx.draw_networkx_nodes(G,pos,nodelist=data1_list,node_size=20,node_color='r')
nx.draw_networkx_nodes(G,pos,nodelist=data2_list,node_size=20,node_color='b')
plt.axis('off')
plt.savefig("data.png")
plt.show()
1.txt 是：https: //gist.github.com/young001/5531613 2.txt 是：https ://gist.github.com/young001/5531619
回报是：
... 4.92, 483.05), 6090: (170.5, 1658.1), 6097: (240.99, 307.32), 6098: (486.58, 694.79), 6103: (1583.7, 107.5), 6104: (427.04, 394.65), 6106: (241.71, 1647.5), 6110: (886.42, 783.84), 6111: (1276.5, 1102.8), 6112: (1197.8, 1077.6), 6113: (1693.7, 1229.5), 6115: (986.75, 358.81), 6116: (109.71, 1317.5), 6118: (1179.3, 1208.9), 6119: (1182.6, 1013.3), 6122: (1336.5, 1581.2), 6125: (1184.4, 1383.5), 6128: (615.71, 85.5), 6131: (1147.7, 1198.8), 6133: (1286.3, 690.69), 6134: (1205.4, 684.59), 6136: (1148.7, 1188.5), 6139: (1195.1, 611.44), 6141: (1234.3, 840.18), 6143: (612.13, 1060.3)}
736
True
Traceback (most recent call last):
File "dataplot.py", line 37, in <module>
nx.draw_networkx_nodes(G,pos,nodelist=data1_list,node_size=20,node_color='r')
File "/usr/local/lib/python2.7/dist-packages/networkx/drawing/nx_pylab.py", line 366, in draw_networkx_nodes
raise nx.NetworkXError('Node %s has no position.'%e)
networkx.exception.NetworkXError: Node '4789' has no position.
为什么 4789 在那里，它仍然没有告诉？