[](https://img.shields.io/pypi/pyversions/statista)
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[](https://github.com/pre-commit/pre-commit)
[](https://lgtm.com/projects/g/MAfarrag/earth2observe/context:python)
[](https://lgtm.com/projects/g/MAfarrag/earth2observe/alerts/)
[](https://codecov.io/gh/Serapieum-of-alex/statista)
Current release info
====================
| Name | Downloads | Version | Platforms |
| --- |--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| --- | --- |
| [](https://anaconda.org/conda-forge/statista) | [](https://anaconda.org/conda-forge/statista) [](https://pepy.tech/project/statista) [](https://pepy.tech/project/statista) [](https://pepy.tech/project/statista)  | [](https://anaconda.org/conda-forge/statista) [](https://badge.fury.io/py/statista) [](https://anaconda.org/conda-forge/statista) | [](https://anaconda.org/conda-forge/statista) [](https://gitter.im/Hapi-Nile/Hapi?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) |
statista - Statistics package
=====================================================================
**statista** is a statistics package
statista
Main Features
-------------
- Statistical Distributions
- GEV
- GUMBL
- Normal
- Exponential
- Parameter estimation methods
- Lmoments
- ML
- MOM
- One-at-time (O-A-T) Sensitivity analysis.
- Sobol visualization
- Statistical descriptors
- Extreme value analysis
Installing statista
===============
Installing `statista` from the `conda-forge` channel can be achieved by:
```
conda install -c conda-forge statista
```
It is possible to list all of the versions of `statista` available on your platform with:
```
conda search statista --channel conda-forge
```
## Install from Github
to install the last development to time you can install the library from github
```
pip install git+https://github.com/MAfarrag/statista
```
## pip
to install the last release you can easly use pip
```
pip install statista==0.5.0
```
Quick start
===========
```
>>> import statista
```
[other code samples](https://statista.readthedocs.io/en/latest/?badge=latest)
=======
History
=======
0.1.0 (2022-05-24)
------------------
* First release on PyPI.
0.1.7 (2022-12-26)
------------------
* lock numpy to version 1.23.5
0.1.8 (2023-01-31)
------------------
* bump up versions
0.2.0 (2023-02-08)
------------------
* add eva (Extreme value analysis) module
* fix bug in obtaining distribution parameters using optimization method
0.3.0 (2023-02-19)
------------------
* add documentations for both GEV and gumbel distributions.
* add lmoment parameter estimation method for all distributions.
* add exponential and normal distributions
* modify the pdf, cdf, and probability plot plots
* create separate plot and confidence_interval modules.
0.4.0 (2023-11-23)
------------------
* add Pearson 3 distribution
* Use setup.py instead of pyproject.toml.
* Correct pearson correlation coefficient and add documentation .
* replace the pdf and cdf by the methods from scipy package.
0.5.0 (2023-12-11)
------------------
* Unify the all the methods for the distributions.
* Use factory design pattern to create the distributions.
* add tests for the eva module.
* use snake_case for the methods and variables.
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