Metadata-Version: 2.1
Name: pycorr
Version: 0.1.3
Summary: Python package for calculating correlation amongst categorical variables
Home-page: https://github.com/MavericksDS/pycorr
Author: Anurag Kumar Mishra
Author-email: anuragkm25@outlook.com
License: UNKNOWN
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/anuragithub](https://github.com/anuragithub) – anuragkm25@outlook.com
        
        Distributed under the GNU license. See ``LICENSE`` for more information.
        
        [https://github.com/MavericksDS/pycorr](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
        
        <!-- Markdown link & img dfn's -->
        [pip-url]: https://pypi.org/project/pycorr/
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Description-Content-Type: text/markdown
