dbldatagen.distributions.exponential_distribution module
This file defines the Exponential statistical distributions related classes
- class Exponential(rate=None)[source]
Bases:
DataDistributionSpecify that random samples should be drawn from the exponential distribution parameterized by rate
- Parameters:
rate – value for rate parameter - float, int or other numeric value, greater than 0
See https://en.wikipedia.org/wiki/Exponential_distribution
Scaling is performed to normalize values between 0 and 1
- static exponential_func(scale_series: Series, random_seed: Series) Series[source]
Generate sample of exponential distribution using pandas / numpy
- Parameters:
scale_series – value for scale 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
- property rate
Return rate parameter
- property scale
Return scale implicit parameter. Scale is 1/rate