Generate a toy gene co-expression network

toy_gene_coexp.py

import numpy as np
import pandas as pd

# Represent different entities with these letters
letters = list("abcdefghjkmnopqrstuvwxyzABCDEFGHIJKLMN")
l = int(0.2 * np.square(len(letters)))

g = np.random.choice(letters, size=(l, 2))
n = np.random.uniform(size=l).round(3)

d = [(a, b, c) for (a, b), c in zip(g, n) if a < b]

df = pd.DataFrame(d, columns=("gene_a", "gene_b", "correlation"))
df.to_csv("~/Desktop/toy.csv", index=False)