Skip to main content

Distance correlation matrix and graph for a given set of variables

Project description

Pearson correlation only really detects linear relationships. Distance Correlation is a better measure, detecting more varied dependency relationships between variables.

This package aims to give a one-liner that’ll be super useful for preliminary data analysis. A matrix of pairwise distance correlations and also a heatmap of these reults.

Because this correlation measure is more computationally expensive, if you feed it more than 2000 observations it will randomly select 2000 rows on which to base the calculation.

Project details


Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
correlade-1.0.2.tar.gz (40.8 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page