python – 基于权重着色networkx边缘
发布时间:2020-12-16 21:36:52 所属栏目:Python 来源:网络整理
导读:如何根据这些边的权重更改networkx中图形中边的颜色? 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) 将边权重缩
如何根据这些边的权重更改networkx中图形中边的颜色?
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) 将边权重缩放到0到1之间不会改变任何东西. 我不确定上面的代码与related question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. 解决方法#!/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 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. (编辑:李大同) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |