Random Number Generators (scipy.stats.sampling)#
This module contains a collection of random number generators to sample from univariate continuous and discrete distributions. It uses the implementation of a C library called “UNU.RAN”. The only exception is RatioUniforms, which is a pure Python implementation of the Ratio-of-Uniforms method.
Generators Wrapped#
For continuous distributions#
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 | Hermite interpolation based INVersion of CDF (HINV). | 
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 | Polynomial interpolation based INVersion of CDF (PINV). | 
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 | Transformed Density Rejection (TDR) Method. | 
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 | Simple Ratio-of-Uniforms (SROU) Method. | 
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 | Generate random samples from a probability density function using the ratio-of-uniforms method. | 
For discrete distributions#
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 | Discrete Alias-Urn Method. | 
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 | Discrete Guide Table method. | 
Warnings / Errors used in scipy.stats.sampling#
| Raised when an error occurs in the UNU.RAN library. | 
Generators for pre-defined distributions#
To easily apply the above methods for some of the continuous distributions
in scipy.stats, the following functionality can be used:
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 | Fast sampling by numerical inversion of the CDF for a large class of continuous distributions in  |