Metadata-Version: 1.2
Name: tprojection
Version: 0.2.1
Summary: Visualize the relation between a dependent variable and a predictor in a meaningful way
Home-page: https://github.com/greghor/tprojection
Author: Gregoire Hornung
Author-email: greghor4@gmail.com
License: MIT license
Description: # tprojection
        
        
        <div class="row">
        
        <img src="examples/survived_cabin.png" height="250" width="385">
        <img src="examples/fare_cabin.png" height="250" width="385">
        <img src="examples/survived_fare.png" height="250" width="385">
        <img src="examples/fare_age.png" height="250" width="385">
        
        <div class="row">
        </div>
        
        
        [![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.
        
Keywords: tprojection
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5
