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https://github.com/nigma/pywt

We're moving. Please visit https://github.com/PyWavelets
https://github.com/nigma/pywt

c cython dwt math numpy python wavelet

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We're moving. Please visit https://github.com/PyWavelets

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README 

        
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 `_ 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