Metadata-Version: 2.1
Name: lumispy
Version: 0.1.2
Summary: Analysis of luminescence spectroscopy data with HyperSpy.
Home-page: http://lumispy.org
Author: The LumiSpy developers
License: GPLv3
Project-URL: Bug Reports, https://github.com/lumispy/lumispy/issues
Project-URL: Source, https://github.com/lumispy/lumispy
Description: [![Build Status](https://dev.azure.com/Lumispy/lumispy/_apis/build/status/LumiSpy.lumispy?branchName=master)](https://dev.azure.com/Lumispy/lumispy/_build/latest?definitionId=3&branchName=master)
        ![Tests](https://github.com/lumispy/lumispy/workflows/Tests/badge.svg)
        [![Codecov Status](https://codecov.io/gh/lumispy/lumispy/branch/master/graph/badge.svg?token=8ZFX8X4Z1I)](https://codecov.io/gh/lumispy/lumispy)
        
        [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
        [![Python Version](https://img.shields.io/pypi/pyversions/lumispy.svg?style=flat)](https://pypi.python.org/pypi/lumispy)
        [![PyPi Version](http://img.shields.io/pypi/v/lumispy.svg?style=flat)](https://pypi.python.org/pypi/lumispy)
        [![DOI](https://zenodo.org/badge/222482347.svg)](https://zenodo.org/badge/latestdoi/222482347)
        
        <img src="./doc/media/logo_rec_april21.svg" width="300" alt="LumiSpy">
        
        LumiSpy is an extension Python package for multi-dimensional data analysis 
        provided by the [HyperSpy](http://hyperspy.org) library. It is aimed at helping 
        with the analysis of luminescence spectroscopy data (cathodoluminescence, 
        photoluminescence, electroluminescence, Raman, SNOM).
        
        If analysis using LumiSpy forms a part of published work please consider 
        recognising the code development by citing the project using the [Zenodo-DOI](https://zenodo.org/badge/latestdoi/222482347).
        
        Instructions on how to install LumiSpy and get started: [installation guide](INSTALLATION.md).
        
        [Tutorials and example workflows](https://github.com/lumispy/lumispy-demos)
        have been curated as a series of Jupyter notebooks that you can work through 
        and modify to perform many common analyses. Simply:
        
        1. Download the `lumispy_demos` repository in your desired folder
        2. Load lumispy (as shown above)
        3. In Jupyter lab, navigate to the folder and start using the notebook
        
        Everyone is welcome to contribute. Please read our
        [contributing guidelines](.github/CONTRIBUTING.md) and get started!
        
Keywords: CL,PL,EL,TRCL,TRPL,SEM,STEM,TEM,cathodoluminescence,photoluminescence,electroluminescence,Raman,curve fitting,electron microscopy,hyperspectral,hyperspectrum,hyperspy,luminescence spectroscopy,lumispy,machine learning,model,multidimensional,numpy,python,scipy,spectroscopy,spectrum image,time-resolved
Platform: Linux
Platform: Mac OSX
Platform: Windows XP/2000/NT
Platform: Windows 95/98/ME
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Description-Content-Type: text/markdown
Provides-Extra: tests
Provides-Extra: coverage
