用networkX和matplotlib画一个巨大的图 [英] Drawing a huge graph with networkX and matplotlib

问题描述

我使用networkX和matplotlib绘制了一个大约5K节点的图。 matplotlib提供的GTK窗口具有缩放和可视化图形的工具。
有没有办法，我可以保存一个放大版本，以便以后可以正确显示？

  import matplotlib.pyplot as plt 
 import networkx as nx 
 
 pos = nx.spring_layout（G）#G是我的图
 
 nx.draw（G，pos，node_color ='＃A0CBE2 '，edge_color ='＃BB0000'，width = 2，edge_cmap = plt.cm.Blues，with_labels = True）
＃plt.show（）
 plt.savefig（graph.png，dpi = 500，facecolor ='w'，edgecolor ='w'，orientation ='portrait'，papertype = None，format = None，transparent = False，bbox_inches = None，pad_inches = 0.1）
  
 
 
    > DPI 
 
 
 
  plt.savefig（graph.png，dpi = 1000）
  
 
 $ b 
（较大图片文件大小）
 
 
另存为PDF 
 
 
 
  plt.savefig（graph.pdf）
  
这是最好的选择，因为最终的图不是光栅化的。理论上，您应该可以无限放大。  
I am drawing a graph with around 5K nodes in it using networkX and matplotlib. The GTK window by matplotlib has tools to zoom and visualise the graph. 
Is there any way, I can save a magnified version for proper visualisation later?
import matplotlib.pyplot as plt
import networkx as nx

pos=nx.spring_layout(G)   #G is my graph

nx.draw(G,pos,node_color='#A0CBE2',edge_color='#BB0000',width=2,edge_cmap=plt.cm.Blues,with_labels=True)
#plt.show()
plt.savefig("graph.png", dpi=500, facecolor='w', edgecolor='w',orientation='portrait', papertype=None, format=None,transparent=False, bbox_inches=None, pad_inches=0.1) 

解决方案
You have two easy options:

Up the DPI

plt.savefig("graph.png", dpi=1000)
(larger image file size)

Save as a PDF

plt.savefig("graph.pdf")
This is the best option, as the final graph is not rasterized. In theory, you should be able to zoom in indefinitely. 

                        
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