Skip to main content

WST and RWST analyses tools for astrophysical data.

Project description

PyWST : WST and RWST for astrophysics

PyWST is a public Python package designed to perform statistical analyses of two-dimensional data with the Wavelet Scattering Transform (WST) and the Reduced Wavelet Scattering Transform (RWST).

The WST/RWST give you convenient sets of coefficients that describe your non-Gaussian data in a comprehensive way.

Install PyWST and check out our Jupyter notebook tutorial in the examples/ folder.

If you use this package, please cite the following paper:

B. Regaldo-Saint Blancard, F. Levrier, E. Allys, E. Bellomi, F. Boulanger (2020). Statistical description of dust polarized emission from the diffuse interstellar medium - A WST/RWST approach. arXiv preprint arXiv:????

Install/Uninstall

Standard installation (from the Python Package Index)

Type in a console:

pip install pywst

Install from source

Clone the repository and type from the main directory:

pip install -r requirements.txt
pip install .

Uninstall

pip uninstall pywst

Changelog

0.9

  • First public version.

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

pywst-0.9.tar.gz (19.2 kB view details)

Uploaded Source

Built Distribution

pywst-0.9-py3-none-any.whl (23.4 kB view details)

Uploaded Python 3

File details

Details for the file pywst-0.9.tar.gz.

File metadata

  • Download URL: pywst-0.9.tar.gz
  • Upload date:
  • Size: 19.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0.post20200518 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.3

File hashes

Hashes for pywst-0.9.tar.gz
Algorithm Hash digest
SHA256 aca5b3f3b1404578e9845cccac413bb801d31cd640523932386261693542368d
MD5 7478c21faf798b16afa38b8eb84e5e49
BLAKE2b-256 1e4f4533e56e2427ea6d2d1a2c79a7cb3336015b85befd853d553bfc42d14adc

See more details on using hashes here.

File details

Details for the file pywst-0.9-py3-none-any.whl.

File metadata

  • Download URL: pywst-0.9-py3-none-any.whl
  • Upload date:
  • Size: 23.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0.post20200518 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.3

File hashes

Hashes for pywst-0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 c968a1b9052519c155f897cf585c88d2a4f332dac27e996c4f33f68084244433
MD5 c763a530ed81946a62c55d1074875e0e
BLAKE2b-256 fb8ea03817ee30fbe5c026ea287b32df6ce212b5abd4503c693df6a1729f008c

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