{ "info": { "author": "Laurent P. Ren\u00e9 de Cotret", "author_email": "laurent.renedecotret@mail.mcgill.ca", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Visualization" ], "description": "dtgui\n=====\n\n.. image:: https://img.shields.io/pypi/v/dtgui.svg\n :target: https://pypi.python.org/pypi/dtgui\n :alt: PyPI Version\n\ndtgui is a graphical user interface for interactively testing a baseline-removal algorithm based on the dual-tree complex wavelet transform\npublished in the following article:\n\n .. [#] L. P. Ren\u00e9 de Cotret and B. J. Siwick, A general method for baseline-removal in ultrafast \n electron powder diffraction data using the dual-tree complex wavelet transform, Struct. Dyn. 4 (2017) DOI: 10.1063/1.4972518.\n\nThe underlying function is `documented in its original package `_.\n\nInstallation\n------------\n\nOther than the pip-installable requirements, dtgui requires PyQt5 to be installed.\n\nUsage\n-----\n\nOnce installed, the GUI can be started using the following command:\n\n python -m dtgui\n\nThe data fed to dtgui should be comma-separated values files (.csv). The first column is expected to be the abscissa values,\nwhile the second column should be the ordinates.\n\nSupport / Report Issues\n-----------------------\n\nAll support requests and issue reports should be\n`filed on Github as an issue `_.\n\nLicense\n-------\n\ndtgui is made available under the MIT License. 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