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 [email protected].

.. _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