pyarts3.arts.random.binomial_distribution

random.binomial_distribution(N: int = 1, n: int = 1, p: float = 0.5) → pyarts3.arts.IndexVector

Generate random numbers following a binomial distribution

Wraps std::binomial_distribution from the C++ standard library.

import matplotlib.pyplot as plt
import pyarts3 as pa

plt.hist(pa.arts.random.binomial_distribution(10000, 10, 0.5), bins=11, density=True)
plt.title("A plotting example")
plt.xlabel("Value")
plt.ylabel("Density")

(Source code, svg, pdf)

Parameters:

• N (int) – Number of random numbers to generate. Default is 1.

• n (int) – Number of trials in the binomial distribution. Default is 1.

• p (float) – Probability of success in the binomial distribution. Default is 0.5.

Returns:

The distribution

Return type:

IndexVector