{ "info": { "author": "Laurent P. Ren\u00e9 de Cotret", "author_email": "laurent.renedecotret@mail.mcgill.ca", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: Implementation :: CPython", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Chemistry", "Topic :: Scientific/Engineering :: Physics", "Topic :: Scientific/Engineering :: Visualization" ], "description": "Iris - Ultrafast Electron Scattering Data Exploration\n======================================================\n\n.. image:: https://img.shields.io/appveyor/ci/LaurentRDC/iris-ued/master.svg\n :target: https://ci.appveyor.com/project/LaurentRDC/iris-ued\n :alt: Windows Build Status\n.. image:: https://readthedocs.org/projects/iris-ued/badge/?version=master\n :target: http://iris-ued.readthedocs.io/\n :alt: Documentation Build Status\n.. image:: https://img.shields.io/pypi/v/iris-ued.svg\n :target: https://pypi.python.org/pypi/iris-ued\n :alt: PyPI Version\n.. image:: https://img.shields.io/conda/vn/conda-forge/iris-ued.svg\n :target: https://anaconda.org/conda-forge/iris-ued\n :alt: Conda-forge Version\n.. image:: https://img.shields.io/pypi/pyversions/iris-ued.svg\n :alt: Supported Python Versions\n.. image:: https://img.shields.io/badge/code%20style-black-000000.svg\n :target: https://github.com/ambv/black\n :alt: Code formatting style\n\n.. contents::\n :depth: 2\n..\n\nIris is both a library for interacting with ultrafast electron diffraction data, as well as a GUI frontend\nfor interactively exploring this data.\n\nIris also includes a plug-in manager so that you can explore your data.\n\n.. figure:: iris_screen.png\n :alt: Data exploration of single-crystals and polycrystals alike.\n :align: center\n :width: 85%\n\n Two instances of the iris GUI showing data exploration for ultrafast electron diffraction of single crystals and polycrystals.\n\nInstallation\n------------\n\n**Starting with iris 5.1.0, Windows standalone installers are now available!**. This will install `iris` as a standalone program, \ncompletely independent from other Python installations on your system. This way should be preferred for those who do not need to interact\nwith data outside of `iris`. Standalone installers are available on the `releases `_ page.\n\nTo interact with `iris` datasets from a Python environment, the `iris-ued` package must be installed. `iris` is available on PyPI; \nit can be installed with `pip `_.::\n\n python -m pip install iris-ued\n\n`iris` is also available on the conda-forge channel::\n\n conda config --add channels conda-forge\n conda install iris-ued\n\nTo install the latest development version from `Github `_::\n\n python -m pip install git+git://github.com/LaurentRDC/iris-ued.git\n\nEach version is tested against Python 3.6+. If you are using a different version, tests can be run\nusing the standard library's `unittest` module.\n\nUsage\n-----\n\nOnce installed, the package can be imported as :code:`iris`. \n\nThe GUI component can be launched from a command line interpreter as :code:`python -m iris`\nor :code:`pythonw -m iris` (no console window).\n\nTest Data\n---------\n\nTest datasets are made available on the Siwick research group public data server, which can be \n`accessed anonymously here `_.\n\nDocumentation\n-------------\n\nThe `Documentation on readthedocs.io `_ provides API-level documentation, as \nwell as tutorials.\n\nCitations\n---------\n\nIf you find this software useful, please consider citing the following publications:\n\n.. [#] L. P. Ren\u00c3\u00a9 de Cotret, M. R. Otto, M. J. Stern. and B. J. Siwick, *An open-source software ecosystem for the interactive \n exploration of ultrafast electron scattering data*, Advanced Structural and Chemical Imaging 4:11 (2018) DOI: 10.1186/s40679-018-0060-y\n\n.. [#] L. P. Ren\u00c3\u00a9 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\nSupport / Report Issues\n-----------------------\n\nAll support requests and issue reports should be\n`filed on Github as an issue `_.\n\nLicense\n-------\n\niris is made available under the MIT License. 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