pyarts3.arts.random.fisher_f_distribution

random.fisher_f_distribution(N: int = 1, d1: float = 1.0, d2: float = 1.0) → pyarts3.arts.Vector

Generate random numbers following a Fisher F distribution

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

import matplotlib.pyplot as plt
import pyarts3 as pa
import numpy as np

plt.hist(np.log(pa.arts.random.fisher_f_distribution(10000, 1.0, 1.0)), bins=50, density=True)
plt.title("A plotting example")
plt.xlabel("Log of Value")
plt.ylabel("Density")
plt.yscale("log")

(Source code, svg, pdf)

Parameters:

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

• d1 (float) – First degrees of freedom of the fisher f distribution. Default is 1.0.

• d2 (float) – Second degrees of freedom of the fisher f distribution. Default is 1.0.

Returns:

The distribution

Return type:

Vector