dbldatagen.distributions.beta module

This file defines the Beta statistical distributions related classes

class Beta(alpha=None, beta=None)[source]

Bases: DataDistribution

Specify that random samples should be drawn from the Beta distribution parameterized by alpha and beta

Parameters:

  • alpha – value for alpha parameter - float, int or other numeric value, greater than 0

  • beta – value for beta parameter - float, int or other numeric value, greater than 0

See https://en.wikipedia.org/wiki/Beta_distribution

By default the Beta distribution produces values between 0 and 1 so no scaling is needed

property alpha

Return alpha parameter.

property beta

Return beta parameter.

static beta_func(alpha_series: Series, beta_series: Series, random_seed: Series) → Series[source]

Generate sample of beta distribution using pandas / numpy

Parameters:

  • alpha_series – value for alpha parameter as Pandas Series

  • beta_series – value for beta parameter as Pandas Series

  • random_seed – value for randomSeed parameter as Pandas Series

Returns:

random samples from distribution scaled to values between 0 and 1

generateNormalizedDistributionSample()[source]

Generate sample of data for distribution

Returns:

random samples from distribution scaled to values between 0 and 1