Visualize the relation between a dependent variable and a predictor in a meaningful way
Project description
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 the target and/or the predictor are categorical, ie when it is difficult to compute a traditionnal correlation coefficient. And by the way, Tprojection stands for target projection.
Installation
pip install tprojectionBasic 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
Documentation
Please find a light documentation [here](https://tprojection.readthedocs.io/en/latest/?)
Credits
This package was created with Cookiecutter and the cookiecutter-pypackage project template.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file tprojection-0.2.4.tar.gz.
File metadata
- Download URL: tprojection-0.2.4.tar.gz
- Upload date:
- Size: 211.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0.post20200106 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
99b1d21dd15acd3e21caff63b310a084be4d19b6595ffd5cb15e121ec839e9fd
|
|
| MD5 |
689863cf1ea90ecdd057821a21962f9b
|
|
| BLAKE2b-256 |
16e7339bc87a149962820ddd7362005248543d22a71f2813c56f3a638539da6f
|
