如何使用python可视化节点分为2个集群的图形，边缘应该存在于集群之间和集群内？

Question

I wanted to generate a graph that looks similar to this.

But For my code, I'm getting a graph like the one below

I have entered the following code by importing graphviz. I request somebody to help me make changes in it to get the required code.

from graphviz import Graph

g = Graph('G', filename='cluster.gv')
a=['1','2','3','4']
b=['5','6','7','8']

with g.subgraph(name='cluster_0') as c:
    c.attr(color='lightgrey')
    c.node_attr.update(style='filled', color='red')
    for i in a:
        c.node(str(i),shape='circle')
    c.attr(label='partition #1')

with g.subgraph(name='cluster_1') as c:
    c.attr(color='lightgrey')
    c.node_attr.update(style='filled', color='blue')
    for i in b:
        c.node(str(i),shape='circle')
    c.attr(label='partition #2')

g.edge('1','5')
g.edge('1','3')
g.edge('2','7')
g.edge('5','8')
g.view()

Thanks in advance

Answer 1

• I don't use the Python api so I don't know if it will support my suggestion.
• 'Similar' is a very loose requirement.
• That said:
  Graphviz allows you to explicitly set the node positions (see here https://graphviz.org/faq/#FaqDotWithNodeCoords ). If you want collections of ovals that combine to form an oval, you can do so. Note that 'pos' values are in points while node sizes are in inches!

This program:

digraph ovaltest {
 graph [splines=line]

  node [color=red shape=box style=rounded height=.2 width=.2  ]
   p1_1 [pos="70,95" ]
   p1_2 [pos="120,95" ]
   p1_3 [pos="170,95" ]
   p1_4 [pos="220,95" ]
   p2_1 [pos="70,70" ]
   p2_4 [pos="220,70" ]
   p3_1 [pos="70,45" ]
   p3_4 [pos="220,45" ]
   p4_1 [pos="70,20" ]
   p4_2 [pos="120,20" ]
   p4_3 [pos="170,20" ]
   p4_4 [pos="220,20" ]
  node [color=blue shape=box style=rounded height=.2 width=.2  ]
   q1_1 [pos="350,95" ]
   q1_2 [pos="400,95" ]
   q1_3 [pos="450,95" ]
   q2_1 [pos="350,70" ]
   q2_3 [pos="450,70" ]
   q3_1 [pos="350,45" ]
   q3_3 [pos="450,45" ]
   q4_1 [pos="350,20" ]
   q4_2 [pos="400,20" ]
   q4_3 [pos="450,20" ]

  p2_1 -> p3_4 [dir="none"]
  p2_4 -> q1_2 [dir="none"]
  p2_4 -> q3_3 [dir="none"]
  p4_4 -> q4_1 [dir="none"]
}

And this command line:
neato -n -Tpng yourfile.gv >yourfile.png

produces this graph :