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-0.8.2.tar.gz (186.3 kB view details)

Uploaded Source

Built Distribution

pyFFTW-0.8.2.win32-py2.7.msi (2.1 MB view details)

Uploaded Source

File details

Details for the file pyFFTW-0.8.2.tar.gz.

File metadata

  • Download URL: pyFFTW-0.8.2.tar.gz
  • Upload date:
  • Size: 186.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyFFTW-0.8.2.tar.gz
Algorithm Hash digest
SHA256 da3ff754d251c063e753c861c99d750fe7a1f44f00de1bef04b4d59e2be98b54
MD5 d5e55665688a4b51f0b65d9508fe8f3d
BLAKE2b-256 32294fffa1bcfc8a2933f3928518e8cfec242a2afb0a35a24228e7b3bac9b91b

See more details on using hashes here.

File details

Details for the file pyFFTW-0.8.2.win32-py2.7.msi.

File metadata

File hashes

Hashes for pyFFTW-0.8.2.win32-py2.7.msi
Algorithm Hash digest
SHA256 c54284eeca79199a716c54be5b9f7dd245ec2cfb5f8e067215b99913f1464d13
MD5 bbd7ce20f6c2154a051e2961fdf4a78d
BLAKE2b-256 df67dee5cd9ff097390260c02f5a9b80be75fe6233bff7974cfd8a84751b7f47

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