如何在python中添加一个简单的“colorbar”到网络图？

我想知道如何在我的情节中添加一个颜色条.我必须遵循代码,通过读取gml文件绘制图形.我有一组数字作为颜色分配给边缘,我只想在图表旁边看到一个颜色条,这样我就可以分析颜色了.当我添加plt.colorbar(g)时,它给了我错误.如何在不经历实际构建色条的所有过程的情况下添加色条？

H = nx.read_gml('./network1.gml')

EAM = EigenVectorCentrality( EAMatrix );

x = [];
for eam in EAM[0]:
    x.append(eam[0]);

 degs =  H.degree().values();
 plt.clf()
 g = nx.draw(H,with_labels=0,edge_color=x,node_size=70,font_size=9,width=1)
 plt.axis('equal')     
 plt.colorbar(g);
 plt.show()

这是Nerwork1.gml文件：

graph
[
   node
   [
    id 1
   ]
 node
[
    id 2
]
node
[
    id 3
]
node
[
    id 4
]
    node
[
    id 5
]
    node
[
    id 6
]
    node
[
    id 7
]
    node
[
    id 8
]
    node
[
    id 9
]
    node
[
    id 10
]
    node
[
    id 11
]
edge
[
    source 1
    target 2
]
edge
[
    source 1
    target 2
]
edge
[
    source 1
    target 3
]
edge
[
    source 1
    target 4
]
edge
[
    source 1
    target 5
]
edge
[
    source 2
    target 3
]
edge
[
    source 2
    target 4
]
edge
[
    source 2
    target 5
]
edge
[
    source 3
    target 4
]
edge
[
    source 3
    target 5
]
edge
[
    source 4
    target 5
]
edge
[
    source 6
    target 7
]
edge
[
    source 6
    target 8
]
edge
[
    source 6
    target 9
]
edge
[
    source 6
    target 10
]
edge
[
    source 7
    target 8
]
edge
[
    source 7
    target 9
]

edge
[
    source 7
    target 10
]
edge
[
    source 8
    target 9
]
edge
[
    source 8
    target 10
]
edge
[
    source 9
    target 10
]
edge
[
    source 5
    target 6
]
edge
[
    source 5
    target 11
]
 edge
 [
    source 6
    target 11
 ]
]

import matplotlib.pyplot as plt
import networkx as nx

G=nx.star_graph(20)
pos=nx.spring_layout(G)
colors=range(20)
cmap=plt.cm.Blues
vmin = min(colors)
vmax = max(colors)
nx.draw(G,pos,node_color='#A0CBE2',edge_color=colors,width=4,edge_cmap=cmap,with_labels=False,vmin=vmin,vmax=vmax)
sm = plt.cm.ScalarMappable(cmap=cmap,norm=plt.Normalize(vmin = vmin,vmax=vmax))
sm._A = []
plt.colorbar(sm)
plt.show()