Plot the degree distributions of a graph

import nngt
import nngt.plot as nplt


nngt.seed(0)

First, let’s create a scale-free network

g = nngt.generation.random_scale_free(2.1, 3.2, nodes=1000, avg_deg=100)

Plot the degree distribution

nplt.degree_distribution(g, deg_type=["in", "out"], show=True)

It’s not bad… but we don’t see much! Let’s move a more relevant scale

nplt.degree_distribution(g, deg_type=["in", "out"], logy=True, show=True)

Or we can use Bayesian binning

nplt.degree_distribution(g, deg_type=["in", "out"], num_bins="bayes",
                         show=True)