scipystatsppfPythonissa

scipystatsppfPythonissa is a hypothetical Python library that provides a unified, high-level interface for computing the percent point function (PPF), the inverse of the cumulative distribution function, across a range of probability distributions using SciPy's statistics tools. The name combines references to SciPy, scipy.stats, PPF, and Python, with an additional stylistic suffix; it is not an official SciPy project and does not appear in the core SciPy repository.

The design goal of scipystatsppfPythonissa is to offer a consistent API for PPF queries across distributions, support for vectorized inputs, broadcasting, and clear error handling. It would wrap or reuse existing SciPy functionality to minimize duplication while providing a central place for documentation and testing. The library is intended as a convenience layer that simplifies common PPF use cases rather than replacing low-level SciPy calls.

Typical features would include support for common distribution families such as normal, t, chi-square, gamma, and beta, with handling of shape and scale parameters. It would aim for robust input validation, informative error messages when inputs are out of range, and compatibility with NumPy arrays and, where appropriate, pandas data structures.

Example usage might involve requesting the 0.975 quantile of the standard normal distribution, yielding a value around 1.96. This illustrates how PPF values are used in percentile calculations, hypothesis testing, and simulation workflows.

Status: the library is not an official project and would be considered experimental or hypothetical. See also SciPy, scipy.stats, inverse CDF, and ppf.