Skip to main content

Implements the radar-boxplot using matplotlib

Project description


This package provides the implementation of the radar-boxplot, a charting technique create and developed by the author (Caio Hamamura).

It merges the concepts of both radar chart and the boxplot chart, allowing to compare multivariate data for multiple classes/clusters at a time. It provides a intuitive understanding over the data by creating radar polygons which can be compared in terms of shape and thickness, giving a meaningful insight towards identifying high inner variation and similar classes/clusters.

By interpreting the radar-boxplot, it is possible to predict classification confusion over classes and understand why and what could be done to achieve a better result.

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 radarboxplot, version 0.1.3
Filename, size File type Python version Upload date Hashes
Filename, size radarboxplot-0.1.3-py2-none-any.whl (5.5 kB) File type Wheel Python version py2 Upload date Hashes View
Filename, size radarboxplot-0.1.3-py3-none-any.whl (4.2 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size radarboxplot-0.1.3.tar.gz (2.8 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page