Introduction¶
PyStats is a Python 3 library of statistical analysis and distribution functions with simple R-like syntax, scalar/list input/output with OpenMP parallelization.
Author: Marc Izquierdo
License: MIT License
Installation¶
You can use pip to install this library:
pip install pystats
Alternatively, you can also clone this repository and install the plugin manually using pip:
$ git clone git@github.com:marcizhu/PyStats.git
$ pip3 install ./PyStats
After that, you can just import pystats (or do from pystats import * if you don’t want to type pystats. before all
functions) and you’re ready to go.
Contents¶
API
- Distributions
- Bernoulli Distribution
- Beta Distribution
- Binomial Distribution
- Cauchy Distribution
- Chi-squared Distribution
- Exponential Distribution
- F-Distribution
- Gamma Distribution
- Inverse-Gamma Distribution
- Laplace Distribution
- Log-Normal Distribution
- Logistic Distribution
- Normal Distribution
- Poisson Distribution
- Student’s t-Distribution
- Uniform Distribution
- Weibull Distribution
- Other statistical functions