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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
  • 0.1.2
    • Added as first release
  • 0.1.1
    • Test release

Meta

Anurag Kumar Mishra – https://github.com/anuragithubanuragkm25@outlook.com

Distributed under the GNU license. See LICENSE for more information.

https://github.com/MavericksDS/pycorr

Contributing

  1. Fork it (https://github.com/MavericksDS/pycorr)
  2. Create your feature branch (git checkout -b feature/fooBar)
  3. Commit your changes (git commit -am 'Add some fooBar')
  4. Push to the branch (git push origin feature/fooBar)
  5. Create a new Pull Request

Project details


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pycorr-0.1.3.tar.gz (3.6 kB view hashes)

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pycorr-0.1.3-py3-none-any.whl (16.1 kB view hashes)

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