Skip to main content

Project for data formats in acoustics.

Project description

The python package for acoustics research (pyfar) offers classes to store audio data, filters, coordinates, and orientations. It also contains common functions for digital audio signal processing.

Getting Started

Check out the examples notebook for a tour of the most important pyfar functionality and read the docs for the complete documentation. Packages related to pyfar are listed at pyfar.org.

Installation

Use pip to install pyfar

$ pip install pyfar

(Requires Python 3.7, 3.8 or 3.9)

Audio file reading/writing is supported through SoundFile, which is based on libsndfile. On Windows and OS X, it will be installed automatically. On Linux, you need to install libsndfile using your distribution’s package manager, for example sudo apt-get install libsndfile1.

Contributing

Refer to the contribution guidelines for more information.

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

pyfar-0.4.3.tar.gz (6.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyfar-0.4.3-py2.py3-none-any.whl (5.2 MB view details)

Uploaded Python 2Python 3

File details

Details for the file pyfar-0.4.3.tar.gz.

File metadata

  • Download URL: pyfar-0.4.3.tar.gz
  • Upload date:
  • Size: 6.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for pyfar-0.4.3.tar.gz
Algorithm Hash digest
SHA256 3c120f2882a158924bd6cb167ff9fbd68bc4ecddd042c8934283392b570cbd53
MD5 98b38dac45636039a6b85bc3c93928ef
BLAKE2b-256 ac064eb19e571b94e2fc5581b514060132b23be323212f2eca64617d084865fb

See more details on using hashes here.

File details

Details for the file pyfar-0.4.3-py2.py3-none-any.whl.

File metadata

  • Download URL: pyfar-0.4.3-py2.py3-none-any.whl
  • Upload date:
  • Size: 5.2 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for pyfar-0.4.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 76866e384a42ea24574940a70982442762781d1b949395c6a27ba8d3e765d0bf
MD5 3c5d0011282c4c6dd285af04504c88e4
BLAKE2b-256 5cfa308a392c3c715e3f8deaefe97df0de8baf653e349d8abaebc4129ee97e10

See more details on using hashes here.

Supported by

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