In this blog post, I show how to plot a weighted graph using
The following code makes a graph based on a list of nodes and a matrix of edge weights.
For this example, I used the following code the generate the graph and plot the matrix:
>>> n_nodes = 4 >>> M = np.random.rand(n_nodes, n_nodes) >>> print(M) [[0.91753808 0.3683666 0.3096244 0.19456242] [0.41662811 0.88492788 0.85076841 0.40816722] [0.821422 0.25108361 0.25305956 0.88238645] [0.48321248 0.73035534 0.25434072 0.50384568]] >>> nodes = range(M.shape) >>> G = make_graph(nodes, M) >>> graphplot(G, M)
The obtained graph is shown below, the weights are encoded as colors of the edges.