在Python中绘制有向图的方式可以分别显示所有边 [英] Plotting directed graphs in Python in a way that show all edges separately

问题描述

我正在使用Python模拟在有向图上发生的过程.我想制作一个此过程的动画.

I'm using Python to simulate a process that takes place on directed graphs. I would like to produce an animation of this process.

我遇到的问题是大多数Python图形可视化库将成对的有向边组合成一个边.例如， NetworkX 在显示以下图形时仅绘制两个边缘，而我想显示四个边缘中的每一个分别:

The problem that I've run into is that most Python graph visualization libraries combine pairs of directed edges into a single edge. For example, NetworkX draws only two edges when displaying the following graph, whereas I would like to display each of the four edges separately:

import networkx as nx
import matplotlib.pyplot as plt 

G = nx.MultiDiGraph()

G.add_edges_from([
    (1, 2),
    (2, 3),
    (3, 2),
    (2, 1),
])

plt.figure(figsize=(8,8))
nx.draw(G)

我想显示这样的东西，每个平行边分别绘制:

I would like to display something like this, with each parallel edge drawn separately:

问题 R中igraph中的R倒数沿处理相同的问题，但是解决方案是针对R igraph库的，而不是针对Python库的.

The question R reciprocal edges in igraph in R seems to deal with the same issue, but the solution there is for the R igraph library, not the Python one.

是否有一种简单的方法可以使用现有的Python图形可视化库生成这种样式的图?如果它可以支持多图，那将是一个额外的奖励.

Is there an easy way to produce this style of plot using an existing Python graph visualization library? It would be a bonus if it could support multigraphs.

我愿意接受调用外部程序来生成图像的解决方案.我想生成一系列动画帧，因此解决方案必须是自动化的.

I'm open to solutions that invoke an external program to produce the images. I'd like to generate a whole series of animation frames, so the solution must be automated.

推荐答案

Graphviz 工具似乎显示了不同的边缘.

The Graphviz tools appear to display distinct edges.

例如，给出以下内容:

digraph G {
  A -> B;
  A -> B;
  A -> B;
  B -> C;

  B -> A;
  C -> B;
}

到dot会产生:

Graphviz的输入语言非常简单，因此您可以自己生成它，尽管搜索"python graphviz"的确打开了包括

Graphviz's input language is pretty simple so you can generate it on your own, though searching for "python graphviz" does turn up a couple of libraries including a graphviz module on PyPI.

以下是使用graphviz模块生成上述图形的python:

Here's python that generates the above graph using the graphviz module:

from graphviz import Digraph

dot = Digraph()
dot.node('A', 'A')
dot.node('B', 'B')
dot.node('C', 'C')
dot.edges(['AB', 'AB', 'AB', 'BC', 'BA', 'CB'])

print(dot.source)
dot.render(file_name, view=True)

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