Python package for calculating correlation amongst categorical variables
Project description
PyCorr
A simple library to calculate correlation between variables. Currently provides correlation between nominal variables.
Based on statistical methodology like Cramer'V and Tschuprow'T allows to gauge the correlation between categorical variables. Ability to plot the correlation in form of heatmap is also provided.
Usage example
Development setup
Release History
- 0.1.3
- CHANGE: Remove
setDefaultXYZ()
- ADD: Ability to pass dataframe to get correlation matrix
- ADD: Ability to plot the correlation in form of heatmap
- CHANGE: Remove
- 0.1.2
- Added as first release
- 0.1.1
- Test release
Meta
Anurag Kumar Mishra – https://github.com/anuragithub – anuragkm25@outlook.com
Distributed under the GNU license. See LICENSE
for more information.
https://github.com/MavericksDS/pycorr
Contributing
- Fork it (https://github.com/MavericksDS/pycorr)
- Create your feature branch (
git checkout -b feature/fooBar
) - Commit your changes (
git commit -am 'Add some fooBar'
) - Push to the branch (
git push origin feature/fooBar
) - Create a new Pull Request
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pycorr-0.1.3.tar.gz
(3.6 kB
view hashes)
Built Distribution
pycorr-0.1.3-py3-none-any.whl
(16.1 kB
view hashes)