Metadata-Version: 2.1
Name: pycircular
Version: 0.1
Home-page: https://github.com/albahnsen/pycircular
Author: Alejandro Correa Bahnsen
Author-email: al.bahnsen@gmail.com
License: new BSD
Keywords: machine learning,circular,feature engineering
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent


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.. image:: https://img.shields.io/badge/python-3.9-blue.svg

.. image:: https://img.shields.io/badge/license-BSD-blue.svg

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.. image:: https://raw.githubusercontent.com/albahnsen/pycircular/master/logo.png

PyCircular
===========================

pycircular is a Python module for circular data analysis
built on top of `Scikit-Learn <http://scikit-learn.org/stable/>`__, `SciPy <http://www.scipy.org/>`__
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
============

You can install ``pycircular`` with ``pip``::

    # pip install pycircular

Documentation
=============

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

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


Development
=============

Source code is available at https://github.com/albahnsen/pycircular
