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-1.1.1a0.tar.gz (66.3 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-1.1.1a0-py3-none-any.whl (67.1 kB view details)

Uploaded Python 3

File details

Details for the file basset_uio-1.1.1a0.tar.gz.

File metadata

  • Download URL: basset_uio-1.1.1a0.tar.gz
  • Upload date:
  • Size: 66.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for basset_uio-1.1.1a0.tar.gz
Algorithm Hash digest
SHA256 46e7cef9f464348b5ef7b5b2a9b7a40ebe8e2a619a8151d4682027d36ae727a9
MD5 8e63f7433a86c5831eae70ef8568c1ea
BLAKE2b-256 d60b04503a082e0f6e1f525ee33011e1a76d6d0d077355e62c1a84674fbb7f45

See more details on using hashes here.

File details

Details for the file basset_uio-1.1.1a0-py3-none-any.whl.

File metadata

  • Download URL: basset_uio-1.1.1a0-py3-none-any.whl
  • Upload date:
  • Size: 67.1 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-1.1.1a0-py3-none-any.whl
Algorithm Hash digest
SHA256 54360db188aa5748b500bcf1f696ee1b129222af655aba49712b5e74a22c7abc
MD5 f952ea0f1b7f4b2851c5a045fbdb42f5
BLAKE2b-256 dde18df79dd03886039ea6a4d16b33a8828ef9c51718fcfe75477edd7a8d9e5a

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