Reputation: 3133
How do I change the color of the edges in a graph in networkx based on the weights of those edges?
The following code just gives all black edges,even though the colormap is jet!
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.
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.
Upvotes: 8
Views: 7152
Reputation: 5961
A simpler use in networkx 2.2
as seen in this example.
And using the code used by the answer above by Vikram:
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
Upvotes: 3
Reputation: 1775
#!/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.
Upvotes: 3