Skip to main content

Python module for measure the degree of association between variables

Project description

Association-Metrics

Association-Metrics is a Python module for measure the degree of association between variables built on top of SciPy and Numpy, and is distributed under the MIT license.

The project started due to the lack of reliable source code to calculate Cramers'v, and from that, we decided to package-up our development.

Installation

Association-Metrics requires:

  • Python (>= 3.6)
  • NumPy (>= 1.13.3)
  • SciPy (>= 0.19.1)
  • Pandas (>= 1.2.1)

User installation

If you already have a working installation of numpy, scipy and pandas, the easiest way to install Association-Metrics is using pip

pip install association-metrics

Development

We welcome new contributors of all experience levels.

Source code

git clone https://github.com/HeberTU/association_metrics

Help and Support

In case of any doubt, you can always reach us via email at:

We will be more than happy to help you out.

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

association-metrics-0.0.1.tar.gz (3.2 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page