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Description

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. Just install the package, open the Python interactive shell and type:

>>> import pywt
>>> cA, cD = pywt.dwt([1, 2, 3, 4], 'db1')

Voilà! Computing wavelet transforms never before has been so simple :)

Main features

The main features of PyWavelets are:

  • 1D, 2D and nD 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 compatible with Matlab Wavelet Toolbox |tm|

Requirements

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

Download

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

Latest release, including source and binary package for Windows, is available for download from the Python Package Index or on `https://github.com/rgommers/pywt/releases`__

Install

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

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

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.

State of development & Contributing

PyWavelets started in 2006 as an academic project for a master thesis on Analysis and Classification of Medical Signals using Wavelet Transforms and was maintained until 2012 by its original developer. In 2013 maintenance was taken over in a new repo (`https://github.com/rgommers/pywt`__) by a larger development team - a move supported by the original developer. The repo move doesn't mean that this is a fork - the package continues to be developed under the name "PyWavelets", and released on PyPi and Github (see `https://github.com/nigma/pywt/issues/13`__ for the discussion where that was decided).

All contributions including bug reports, bug fixes, new feature implementations and documentation improvements are welcome. Moreover, developers with an interest in PyWavelets are very welcome to join the development team!

Python 3

Python 3.x is fully supported from release v0.3.0 on.

Contact

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

License

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

Contents

Repository

http://github.com/PyWavelets/pywt

Project Slug

pywavelets

Last Built

10 hours, 30 minutes ago passed

Maintainers

Home Page

http://github.com/PyWavelets/pywt

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Tags

python, numpy, scientific, wavelets

Project Privacy Level

Public

Short URLs

pywavelets.readthedocs.io
pywavelets.rtfd.io

Default Version

latest

'latest' Version

master