英文:
how to fix the location of nodes while visualizing graph in networkx
问题
我正在可视化生成的随机图表。我将按照某些规则更改每个节点的颜色，并希望追踪图表节点颜色的变化。（也许我可以使用图表的图像制作gif）
import networkx as nx
import matplotlib.pyplot as plt
import numpy as np
n = 50
p = 0.12
np.random.seed(42)
G = nx.gnp_random_graph(n, p)
color_map = np.random.choice(['blue', 'red'], size=50)
nx.draw(G, node_color=color_map, with_labels=True)
plt.savefig('2.png')
nx.draw(G, node_color=color_map, with_labels=True)
plt.savefig('3.png')
但我发现每次绘制时节点的位置都会改变。我期望这两幅图重叠完美，看起来像一张图。但如你所见，在第二张图中，每个节点的位置都改变了。我该如何固定节点的位置？
另一种生成随机图的方法
英文:
I'm visualizing graph , which generated ramdomly. I will change color of each node in some rules and wanna track change of graph nodes' color. (Maybe I can make gif with the images of graph)
import networkx as nx
import matplotlib.pyplot as plt
import numpy as np
n = 50
p = 0.12
np.random.seed(42)
G = nx.gnp_random_graph(n, p)
color_map = np.random.choice(['blue', 'red'], size=50)
nx.draw(G, node_color=color_map, with_labels=True)
plt.savefig('2.png')
nx.draw(G, node_color=color_map, with_labels=True)
plt.savefig('3.png')
but I found put that the nodes' location change every time I plot. I expected that the two drawings would overlap perfectly and look like one. but as you can see in the second plot, every node's location changed. How can I fix nodes' location?
another way to make random graph
答案1
得分: 1
The nx.draw functions have a parameter pos that lets you supply a pre-calculated dictionary of positions keyed by node.
因此，您可以在第一个 nx.draw 之前使用 pos = nx.spring_layout(G)，然后将 pos = pos 添加到每个后续 nx.draw 的参数中。
英文:
The nx.draw functions have a parameter pos that lets you supply a pre-calculated dictionary of positions keyed by node.
Therefore, you can use pos = nx.spring_layout(G) before the first nx.draw, then add pos = pos into the parameters of each subsequent nx.draw
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