Skip to main content

Multiple correspondence analysis with pandas

Project description

https://badge.fury.io/py/mca.png https://travis-ci.org/esafak/mca.png?branch=master

mca is a Multiple Correspondence Analysis (MCA) package for python, intended to be used with pandas. MCA is a feature extraction method; essentially PCA for categorical variables. You can use it, for example, to address multicollinearity or the curse of dimensionality with big categorical variables.

Installation

pip install --user mca

Usage

Please refer to the usage notes and this illustrated ipython notebook.

Reference

Michael Greenacre, Jörg Blasius (2006). Multiple Correspondence Analysis and Related Methods, CRC Press. ISBN 1584886285.

History

  • 1.0 (2014-06-24)
    First release. I’m sure it’s an auspicious date somewhere in the world.
  • 1.01 (2015-03-23)
    More documentation, in the form of an ipython notebook. Fixed bug #2 affecting python 2.x
  • 1.02 (2017-07-29)
    Fixed division-by-zero bug (issue #14)
  • 1.03 (2018-01-10)
    Added sparse matrix support

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for mca, version 1.0.3
Filename, size File type Python version Upload date Hashes
Filename, size mca-1.0.3.tar.gz (17.7 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page