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Note

This documents the development version of NetworkX. Documentation for the current release can be found here.

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Degree Sequence

Random graph from given degree sequence.

Out:

True
Configuration model
Degree sequence [5, 3, 3, 3, 3, 2, 2, 2, 1, 1, 1]
Degree histogram
degree #nodes
   5      1
   3      4
   2      3
   1      3

import matplotlib.pyplot as plt
from networkx import nx

z = [5, 3, 3, 3, 3, 2, 2, 2, 1, 1, 1]
print(nx.is_graphical(z))

print("Configuration model")
G = nx.configuration_model(z)  # configuration model
degree_sequence = [d for n, d in G.degree()]  # degree sequence
print(f"Degree sequence {degree_sequence}")
print("Degree histogram")
hist = {}
for d in degree_sequence:
    if d in hist:
        hist[d] += 1
    else:
        hist[d] = 1
print("degree #nodes")
for d in hist:
    print(f"{d:4} {hist[d]:6}")

nx.draw(G)
plt.show()