From Matrix to Graph (directed and undirected) using networkx

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Starting from the following bumpy matrix I would like to create a graph using the python library Networkx

matrix([[0, 0, 0, 0, 0, 0, 0, 0],
        [0, 0, 0, 0, 0, 0, 0, 0],
        [2, 0, 0, 0, 0, 0, 0, 1],
        [0, 0, 0, 0, 0, 1, 0, 0],
        [0, 0, 0, 0, 0, 0, 2, 1],
        [0, 0, 0, 1, 0, 0, 2, 0],
        [2, 2, 0, 0, 0, 0, 0, 0],
        [0, 0, 1, 0, 1, 0, 0, 0]])

Where:

  • 0 means that the node is NOT connected to another node
  • 1 means that the node is connected to another node
  • 2 means that the node has an outgoing arrow to another node (e.g., 1 --> 6)

The problem is that I'm able to draw directed or undirected graph, but not a mix of both.

Thanks for your help

networkx numpy python
1 Answers
#libraries
import networkx as nx
import numpy as np

#input
X = np.array([[0, 0, 0, 0, 0, 0, 0, 0],
        [0, 0, 0, 0, 0, 0, 0, 0],
        [2, 0, 0, 0, 0, 0, 0, 1],
        [0, 0, 0, 0, 0, 1, 0, 0],
        [0, 0, 0, 0, 0, 0, 2, 1],
        [0, 0, 0, 1, 0, 0, 2, 0],
        [2, 2, 0, 0, 0, 0, 0, 0],
        [0, 0, 1, 0, 1, 0, 0, 0]])


G = nx.DiGraph(X>0)
nx.draw_kamada_kawai(G, with_labels=True)

graph

In this way you have that undirected edges are bidirectional connection. I think there is not another way to implement your graph in networkx because the mixed graph are not allowed, as mentioned here:

-Is it possible to add undirected and directed edges to a graph object in networkx

-MixedGraph and MixedMultiGraph

The only other solution I can imagine is to build a directed graph and separately an undirected graph, but it obliviously depends on what is your goal and on what the graph is to be used for.

user_117284880
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