pyarts3.arts.random.weibull_distribution

random.weibull_distribution(N: int = 1, shape: float = 1.0, scale: float = 1.0) → pyarts3.arts.Vector

Generate random numbers following a Weibull distribution

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

import matplotlib.pyplot as plt
import pyarts3 as pa

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

(Source code, svg, pdf)

Parameters:

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

• shape (float) – Shape parameter of the weibull distribution. Default is 1.0.

• scale (float) – Scale parameter of the weibull distribution. Default is 1.0.

Returns:

The distribution

Return type:

Vector