matrixprofile 1.1.0

An open source time series data mining library based on Matrix Profile algorithms.

===============================
MatrixProfile Documentation
===============================

.. image:: https://img.shields.io/pypi/v/matrixprofile.svg
:target: https://pypi.org/project/matrixprofile/
:alt: PyPI Version
.. image:: https://pepy.tech/badge/matrixprofile
:target: https://pepy.tech/project/matrixprofile
:alt: PyPI Downloads
.. image:: https://codecov.io/gh/matrix-profile-foundation/matrixprofile/branch/master/graph/badge.svg
:target: https://codecov.io/gh/matrix-profile-foundation/matrixprofile
:alt: Code Coverage
.. image:: https://api.travis-ci.com/matrix-profile-foundation/matrixprofile.svg?branch=master
:target: https://travis-ci.com/matrix-profile-foundation/matrixprofile
:alt: Build Status
.. image:: https://img.shields.io/badge/License-Apache%202.0-blue.svg
:target: https://opensource.org/licenses/Apache-2.0
:alt: License
.. image:: https://img.shields.io/twitter/follow/matrixprofile.svg?style=social
:target: https://twitter.com/matrixprofile
:alt: Twitter
.. image:: https://img.shields.io/discord/589321741277462559?logo=discord
:target: https://discordapp.com/invite/sBhDNXT
:alt: Discord

|

.. image:: https://matrixprofile.org/static/img/mpf-logo.png
:target: https://matrixprofile.org
:height: 300px
:scale: 50%
:alt: MPF Logo

MatrixProfile
----------------
MatrixProfile is a Python 2 and 3 library, brought to you by the `Matrix Profile Foundation <https://matrixprofile.org>`_, for mining time series data. The Matrix Profile is a novel data structure with corresponding algorithms (stomp, regimes, motifs, etc.) developed by the `Keogh <https://www.cs.ucr.edu/~eamonn/MatrixProfile.html>`_ and `Mueen <https://www.cs.unm.edu/~mueen/>`_ research groups at UC-Riverside and the University of New Mexico. The goal of this library is to make these algorithms accessible to both the novice and expert through standardization of core concepts, a simplistic API, and sensible default parameter values.

In addition to this Python library, the Matrix Profile Foundation, provides implementations in other languages. These languages have a pretty consistent API allowing you to easily switch between them without a huge learning curve.

* `tsmp <https://github.com/matrix-profile-foundation/tsmp>`_ - an R implementation
* `go-matrixprofile <https://github.com/matrix-profile-foundation/go-matrixprofile>`_ - a Golang implementation

Installation
------------
The easiest way to install this library is using pip. If you would like to install it from source, please review the `installation documentation <http://matrixprofile.docs.matrixprofile.org/install.html>`_ for your platform.

.. code-block:: bash

pip install matrixprofile

Getting Started
---------------
This article provides introductory material on the Matrix Profile:
`Introduction to Matrix Profiles <https://towardsdatascience.com/introduction-to-matrix-profiles-5568f3375d90>`_


This article provides details about core concepts introduced in this library:
`How To Painlessly Analyze Your Time Series <https://towardsdatascience.com/how-to-painlessly-analyze-your-time-series-f52dab7ea80d>`_

Our documentation provides a `quick start guide <http://matrixprofile.docs.matrixprofile.org/Quickstart.html>`_, `examples <http://matrixprofile.docs.matrixprofile.org/examples.html>`_ and `api <http://matrixprofile.docs.matrixprofile.org/api.html>`_ documentation. It is the source of truth for getting up and running.

Algorithms
----------
For details about the algorithms implemented, including performance characteristics, please refer to the `documentation <http://matrixprofile.docs.matrixprofile.org/Algorithms.html>`_.

------------
Getting Help
------------
We provide a dedicated `Discord channel <https://discordapp.com/invite/sBhDNXT>`_ where practitioners can discuss applications and ask questions about the Matrix Profile Foundation libraries. If you rather not join Discord, then please open a `Github issue <https://github.com/matrix-profile-foundation/matrixprofile/issues>`_.

------------
Contributing
------------
Please review the `contributing guidelines <http://matrixprofile.docs.matrixprofile.org/contributing.html>`_ located in our documentation.

---------------
Code of Conduct
---------------
Please review our `Code of Conduct documentation <http://matrixprofile.docs.matrixprofile.org/code_of_conduct.html>`_.

---------
Citations
---------
All proper acknowledgements for works of others may be found in our `citation documentation <http://matrixprofile.docs.matrixprofile.org/citations.html>`_.