Important

We're moving! The new home for the project is https://github.com/PyWavelets.

Thanks everyone for starring, forking and following this repository on Github.

The PyWavelets project has a new home and maintainers.

Please go to https://github.com/PyWavelets/pywt and follow the development and new releases there.

PyWavelets - Discrete Wavelet Transform in Python

PyWavelets is a free Open Source wavelet transform software for Python_ programming language. It is written in Python, Cython and C for a mix of easy and powerful high-level interface and the best performance.

PyWavelets is very easy to start with and use, and currently is capable of:

• 1D and 2D Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)
• 1D and 2D Stationary Wavelet Transform (Undecimated Wavelet Transform)
• 1D and 2D Wavelet Packet decomposition and reconstruction
• Approximating wavelet and scaling functions
• Over seventy built-in wavelet filters and custom wavelets supported
• Single and double precision calculations
• Results compatibility with Matlab Wavelet Toolbox (tm)

.. image:: https://secure.travis-ci.org/nigma/pywt.png?branch=develop :alt: Build Status :target: https://secure.travis-ci.org/nigma/pywt

Requirements

PyWavelets is a package for the Python programming language. It requires:

• Python_ 2.6 or 2.7
• numpy_ numeric array module

Download

The most recent development version can be found on GitHub at https://github.com/nigma/pywt.

Latest release, including source and binary package for Windows, is available for download from the Python Package Index_.

Install

In order to build PyWavelets from source, a working C compiler (GCC or MSVC) and a recent version of Cython_ is required.

• To install PyWavelets open shell prompt and type pip install PyWavelets or easy_install PyWavelets.

• To build and install from source, navigate to downloaded PyWavelets source code directory and type python setup.py install.

• The in-development version_ of PyWavelets can be installed with pip install PyWavelets==dev or easy_install PyWavelets==dev.

Prebuilt Windows binaries and source code packages are also available from Python Package Index_.

Binary packages for several Linux distributors are maintained by Open Source community contributors. Query your Linux package manager tool for python-wavelets, python-pywt or similar package name.

Documentation

Documentation with detailed examples and links to more resources is available online at http://www.pybytes.com/pywavelets/ and http://pywavelets.readthedocs.org.

For more usage examples see the demo_ directory in the source package.

Contributing

PyWavelets started in 2006 as an academic project for a master thesis on Analysis and Classification of Medical Signals using Wavelet Transforms and is maintained by its original developer_.

All contributions including bug reports, bug fixes, new feature implementations and documentation improvements are welcome.

Go and fork on GitHub_ today!

Python 3

Python 3 development branch is at https://github.com/nigma/pywt/tree/py-3. Check out the changelog <https://github.com/nigma/pywt/commits/py-3>_ for info. Currently the code and examples are ported to work on Python 2.7 and 3.2 from the same codebase.

Contact

Use GitHub Issues or PyWavelets discussions group to post your comments or questions.

License

PyWavelets is a free Open Source software released under the MIT license.

Commercial Support

For information on commercial support and development email me at en@ig.ma.

.. _Cython: http://cython.org/ .. _demo: https://github.com/nigma/pywt/tree/master/demo .. _GitHub: https://github.com/nigma/pywt .. _GitHub Issues: https://github.com/nigma/pywt/issues .. _in-development version: https://github.com/nigma/pywt/tarball/develop#egg=PyWavelets-dev .. _numpy: http://numpy.scipy.org/ .. _original developer: http://en.ig.ma .. _Python: http://python.org/ .. _Python Package Index: http://pypi.python.org/pypi/PyWavelets/ .. _PyWavelets discussions group: http://groups.google.com/group/pywavelets