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Visualize the relation between a dependent variable and a predictor in a meaningful way

Project description

# tprojection

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[![pypi] (https://img.shields.io/pypi/v/tprojection.svg)] (https://pypi.python.org/pypi/tprojection) [![Build Status](https://travis-ci.org/mwaskom/seaborn.svg?branch=master)](https://travis-ci.org/mwaskom/seaborn) ![Code cov](https://img.shields.io/codecov/c/github/greghor/tprojection)

This library allows you to visually inspect the relation between a dependent variable (the target) and a predictor in a meaningful way. This library is particularly convenient when it is difficult to compute a traditionnal correlation coefficient, for instance when the target and the predictor are categorical. And by the way, Tprojection stands for target projection.

## Installation

pip install tprojection

## Basic usage

from tprojection import Tprojection

tproj = Tprojection(df, “target”, “predictor”) tproj.plot()

## Advanced usage

You can find several examples depicting more advanced functionalities in examples/examples.ipynb

## Credits

This package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter) and the [cookiecutter-pypackage](https://github.com/audreyr/cookiecutter-pypackage) project template.

History

0.1.0 (2020-01-09)

  • First release on PyPI.

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