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scipy.stats ⚬｜Documentation｜1st｜20261014115240-00-⌔
Statistical functions (scipy.stats) — SciPy v1.18.0 Manual#statistical-functions-scipy-stats
Statistical functions (
scipy.stats)This module contains a large number of probability distributions, summary and frequency statistics, correlation functions and statistical tests, masked statistics, kernel density estimation, quasi-Monte Carlo functionality, and more.
Statistics is a very large area, and there are topics that are out of scope for SciPy and are covered by other packages. Some of the most important ones are:
- statsmodels: regression, linear models, time series analysis, extensions to topics also covered by
scipy.stats.- Pandas: tabular data, time series functionality, interfaces to other statistical languages.
- PyMC: Bayesian statistical modeling, probabilistic machine learning.
- scikit-learn: classification, regression, model selection.
- Seaborn: statistical data visualization.
- rpy2: Python to R bridge.
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