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PyCircular

pycircular is a Python module for circular data analysis built on top of Scikit-Learn, SciPy and distributed under the 3-Clause BSD license.

In particular, it provides:

  1. A set of circular analysis algorithms

  2. Different real-world datasets.

Installation

Versions PyPI-Downloads Libraries-Dependents

You can install pycircular with pip:

# pip install pycircular

Documentation

Documentation is available at http://albahnsen.github.io/pycircular

Tutorials are available at http://albahnsen.github.io/pycircular/Tutorials.html

Contributions

GitHub-Commits GitHub-Issues GitHub-PRs GitHub-Contributions

All source code is hosted on GitHub.

Contributions are welcome. There are a number of Issues that can be worked on.

Developers who have made significant contributions,

Name

ID

Notes

Alejandro Correa Bahnsen

github linkedin

primary maintainer

Jaime Acevedo

github linkedin

Sergio Villegas

github linkedin

Juan Salcedo

Jesus Solano

LICENCE

Open Source (OSI approved): LICENCE

Citation information: DOI

Project details


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pycircular-0.1.2.tar.gz (18.5 kB view hashes)

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