本文介绍了使用draw_network_nodes()时,Python网络会更改节点的颜色的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
目标是获得类似的东西
要定义我使用的图形:
import matplotlib.pyplot as plt
import networkx as nx
graph = {
'1': ['2', '3', '4'],
'2': ['5','11','12','13','14','15'],
'3' : ['6','7','66','77'],
'5': ['6', '8','66','77'],
'4': ['7','66','77'],
'7': ['9', '10']
}
MG = nx.DiGraph()
MG.add_edges_from([(start, stop, {'weigth' : len(graph[start]) })
for start in graph for stop in graph[start]])
和绘制它的代码是:
plt.figure(figsize=(8,8))
pos=nx.graphviz_layout(MG,prog="twopi",root='1')
for n in MG.nodes_iter():
nx.draw_networkx_nodes(MG, pos,
nodelist = [n],
node_size = 2000 / float(len(MG[n[0]])+1),
node_color = (len(MG[n[0]])+1),
alpha = 1/float(len(MG[n[0]])+1),
with_labels=True
)
xmax=1.1*max(xx for xx,yy in pos.values())
ymax=1.1*max(yy for xx,yy in pos.values())
plt.xlim(0,xmax)
plt.ylim(0,ymax)
plt.show()
我想知道两件事:
-
如何根据每个节点具有的链接数(即
len(MG[0])
)来设置颜色节点?
how can I have the color node depending on the number of links each node has (i.e.
len(MG[0])
)?
我的标签在哪里?
谢谢
推荐答案
这个怎么样?您可以使用matplotlib的颜色图将值映射到节点的颜色.
How about this? You can use matplotlib's colormaps to map values to colors for the nodes.
import matplotlib.pyplot as plt
import networkx as nx
graph = {
'1': ['2', '3', '4'],
'2': ['5','11','12','13','14','15'],
'3' : ['6','7','66','77'],
'5': ['6', '8','66','77'],
'4': ['7','66','77'],
'7': ['9', '10']
}
MG = nx.DiGraph(graph)
plt.figure(figsize=(8,8))
pos=nx.graphviz_layout(MG,prog="twopi",root='1')
nodes = MG.nodes()
degree = MG.degree()
color = [degree[n] for n in nodes]
size = [2000 / (degree[n]+1.0) for n in nodes]
nx.draw(MG, pos, nodelist=nodes, node_color=color, node_size=size,
with_labels=True, cmap=plt.cm.Blues, arrows=False)
plt.show()
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