statista 0.5.0

statistics package

Current release info

Name	Downloads	Version	Platforms

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

======= 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.