Skip to main content

A pythonic wrapper around FFTW, the FFT library, presenting a unified interface for all the supported transforms.

Project description

pyFFTW is a pythonic wrapper around FFTW, the speedy FFT library. The ultimate aim is to present a unified interface for all the possible transforms that FFTW can perform.

Both the complex DFT and the real DFT are supported, as well as arbitrary axes of abitrary shaped and strided arrays, which makes it almost feature equivalent to standard and real FFT functions of numpy.fft (indeed, it supports the clongdouble dtype which numpy.fft does not).

Operating FFTW in multithreaded mode is supported.

A comprehensive unittest suite can be found with the source on the github repository.

To build for windows from source, download the fftw dlls for your system and the header file from here (they’re in a zip file): http://www.fftw.org/install/windows.html and place them in the pyfftw directory. The files are libfftw3-3.dll, libfftw3l-3.dll, libfftw3f-3.dll and libfftw3.h.

Under linux, to build from source, the FFTW library must be installed already. This should probably work for OSX, though I’ve not tried it.

Numpy is a dependency for both.

The documentation can be found here, and the source is on github.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyFFTW-0.7.0.tar.gz (83.2 kB view details)

Uploaded Source

Built Distribution

pyFFTW-0.7.0.win32-py2.7.msi (2.1 MB view details)

Uploaded Source

File details

Details for the file pyFFTW-0.7.0.tar.gz.

File metadata

  • Download URL: pyFFTW-0.7.0.tar.gz
  • Upload date:
  • Size: 83.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyFFTW-0.7.0.tar.gz
Algorithm Hash digest
SHA256 dc67128d2d684e82b2ffa8febfccbd3b47ba1659e0076672fb888fe23d85283d
MD5 538117261f735e42265575173d27eaee
BLAKE2b-256 eabe0f5ff14fff7931e032716a30ee0f212c1ce33398c965f2aa9f0f68da2882

See more details on using hashes here.

File details

Details for the file pyFFTW-0.7.0.win32-py2.7.msi.

File metadata

File hashes

Hashes for pyFFTW-0.7.0.win32-py2.7.msi
Algorithm Hash digest
SHA256 84cd1515adade0499d8ebe16aeb689e1205b13a6793a1594671dd64deb5fc4cd
MD5 1840336903a7d310a23680a4d7388461
BLAKE2b-256 68dd7774dc30cbfee6d5057a278ddafb3b573be99ad5b91a873f7686368f99d0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page