pyarts3.arts.random.normal_distribution

random.normal_distribution(N: int = 1, mean: float = 0.0, stddev: float = 1.0) → pyarts3.arts.Vector

Generate random numbers following a normal distribution

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

import matplotlib.pyplot as plt
import pyarts3 as pa

plt.hist(pa.arts.random.normal_distribution(10000, 0, 10), bins=51, 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.

• mean (float) – Mean of the normal distribution. Default is 0.0.

• stddev (float) – Standard deviation of the normal distribution. Default is 1.0.

Returns:

The distribution

Return type:

Vector