.. image:: https://raw.githubusercontent.com/MMateo1120/colibripy/89b4489a8324c3b267e2c63de81654c4017636ea/colibri_pic.svg
:width: 150
:height: 150
:align: left
|
| **Colibripy** is a python package for data evaluation using statistical tools. For now, the following methods are available:
| **one-sample t-test**
| **two-sample t-test**
| **paired t-test**
|
|
Examples
------------
| all : https://github.com/MMateo1120/colibripy_examples
| one-sample t-test : https://github.com/MMateo1120/colibripy_examples/blob/main/t_test_one_sample.ipynb
| two-sample t-test : https://github.com/MMateo1120/colibripy_examples/blob/main/t_test_two_sample.ipynb
| paired t-test : https://github.com/MMateo1120/colibripy_examples/blob/main/t_test_paired.ipynb
=======
Installation
------------
User installation
~~~~~~~~~~~~~~~~~
To install colibripy and update dependencies use ``pip``::
pip install -U colibripy
colibripy 1.0.0 requires Python 3.12 or newer.
Dependencies
~~~~~~~~~~~~
colibripy requires:
- matplotlib >= 3.9.1
- numpy >= 2.0.1
- pandas >= 2.2.2
- pytest >= 8.3.2
- scikit_learn >= 1.5.1
- scipy >= 1.14.0
- seaborn >= 0.13.2
- statsmodels >= 0.14.2
- tabulate >= 0.9.0
=======
Important links
---------------
- Official source code repo: https://github.com/MMateo1120/colibripy
- Download releases: https://pypi.org/project/colibripy
- Issue tracker: https://github.com/MMateo1120/colibripy/issues
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