[英]Coloring networkx edges based on weight
How do I change the color of the edges in a graph in networkx based on the weights of those edges? 如何根据这些边的权重更改networkx中图形中边的颜色?
The following code just gives all black edges,even though the colormap is jet! 以下代码仅提供所有黑色边缘,即使色彩图是喷射的!
nx.draw_networkx(g,pos=pos,with_labels=True,edge_colors=[g[a][b]['weight'] for a,b in g.edges()], width=4,edge_cmap = plt.cm.jet)
Scaling the edge weights to be between 0 and 1 doesn't change anything. 将边权重缩放到0到1之间不会改变任何东西。
I'm not sure how the above code differs from that in a related question except that I don't use a loop for draw_networkx
because I'm not animating the graph. 我不确定上面的代码与相关问题中的代码有什么不同,除了我没有为
draw_networkx
使用循环,因为我没有为图形设置动画。
#!/usr/bin/env python
"""
Draw a graph with matplotlib.
You must have matplotlib for this to work.
"""
try:
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import matplotlib.cm as cmx
import numpy as np
except:
raise
import networkx as nx
G=nx.path_graph(8)
#Number of edges is 7
values = range(7)
# These values could be seen as dummy edge weights
jet = cm = plt.get_cmap('jet')
cNorm = colors.Normalize(vmin=0, vmax=values[-1])
scalarMap = cmx.ScalarMappable(norm=cNorm, cmap=jet)
colorList = []
for i in range(7):
colorVal = scalarMap.to_rgba(values[i])
colorList.append(colorVal)
nx.draw(G,edge_color=colorList)
plt.savefig("simple_path.png") # save as png
plt.show() # display
Just modified an example code from networkx that plots a simple graph. 刚刚修改了networkx中的一个示例代码,该代码绘制了一个简单的图形。
A simpler use in networkx 2.2
as seen in this example . 在本例中可以更简单地使用
networkx 2.2
。
And using the code used by the answer above by Vikram: 并使用Vikram上面的答案使用的代码:
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import matplotlib.cm as cmx
import numpy as np
import networkx as nx
G=nx.path_graph(8)
#Number of edges is 7
values = range(7)
nx.draw(G, edge_color=values, cmap=plt.cm.jet)
plt.show() # display
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