Skip to main content

A GUI-based toolbox for signal selection of operando scattering experiments

Project description

Battery Signal Selection and Enhancement Toolbox

BaSSET is a Python GUI software designed to simplify multivariate analysis of operando scattering experiments through integrating common algorithms with easy access to change parameters and visualize results.

Installation

This software is available on the Python Package Index. The simplest way to install is through running pip install basset-uio. This also adds two executables for you to run from the terminal or your OS' search. Note that the python 'Scripts' folder needs to be in your PATH for these to work.
basset launches the GUI with a terminal window (or in your active terminal) with print statements and potential warnings or errors.
basset-gui launches the GUI without a terminal (or without occupying your active termainal).
Other than this, they both act the same.

Acknowledgements

This package is simply a GUI interface for multivariate analysis methods, with built-in results viewing and export functionality. All credit goes to the creators of the utililzed algorithms.

PCA, NMF and ICA come from scikit-learn [1].
SNMF comes from diffpy.stretched-nmf [2].

[1] Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay, Scikit-learn: Machine Learning in Python, Journal of Machine Learning Research 12, pp. 2825-2830 (2011).
[2] Ran Gu, Yevgeny Rakita, Ling Lan, Zach Thatcher, Gabrielle E. Kamm, Daniel O'Nolan, Brennan McBride, Allison Wustrow, James R. Neilson, Karena W. Chapman, Qiang Du, and Simon J. L. Billinge, Stretched Non-negative Matrix Factorization, npj Comput Mater 10, 193 (2024).

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

basset_uio-1.4.1a0.tar.gz (75.8 kB view details)

Uploaded Source

Built Distribution

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

basset_uio-1.4.1a0-py3-none-any.whl (77.5 kB view details)

Uploaded Python 3

File details

Details for the file basset_uio-1.4.1a0.tar.gz.

File metadata

  • Download URL: basset_uio-1.4.1a0.tar.gz
  • Upload date:
  • Size: 75.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for basset_uio-1.4.1a0.tar.gz
Algorithm Hash digest
SHA256 c13f3d01ddf8081ad24ff1854d05a0736f749af30107304082997de80c898dd0
MD5 faeb2f78f011d0574ceb558164f66063
BLAKE2b-256 e8273a0569e7149730c0f5fb971fbcd914c743dc3870f1c72f9b259662d1b491

See more details on using hashes here.

File details

Details for the file basset_uio-1.4.1a0-py3-none-any.whl.

File metadata

  • Download URL: basset_uio-1.4.1a0-py3-none-any.whl
  • Upload date:
  • Size: 77.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for basset_uio-1.4.1a0-py3-none-any.whl
Algorithm Hash digest
SHA256 c9688bfaf123fa953cb2fe16463715e0b82d2f7e98320f54867ffcb986af0ad0
MD5 46241a30ea1711a3529ff20b9f474182
BLAKE2b-256 4f61a700d59719828a0a3f4ba2dc105c81713a57aed1c0b0137603d1692b4b5a

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