Metadata-Version: 2.1
Name: libpysat
Version: 1.3.2
Summary: The Python Spectral Analysis Toolkit (PySAT) for planetary spectral data.
Home-page: https://github.com/USGS-Astrogeology/PySAT
Author: J. Laura
Author-email: jlaura@usgs.gov
License: Unlicense
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Provides-Extra: test
Provides-Extra: dev
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Provides-Extra: dev
Provides-Extra: test
Requires-Dist: coverage; extra == 'test'
Requires-Dist: pytest-cov; extra == 'test'
Requires-Dist: coveralls; extra == 'test'

[![Build Status](https://travis-ci.org/USGS-Astrogeology/PySAT.svg?branch=master)](https://travis-ci.org/USGS-Astrogeology/PySAT)
[![Coverage Status](https://coveralls.io/repos/github/USGS-Astrogeology/PySAT/badge.svg?branch=master)](https://coveralls.io/github/USGS-Astrogeology/PySAT?branch=master)
[![Join the chat at https://gitter.im/USGS-Astrogeology/PySAT](https://badges.gitter.im/USGS-Astrogeology/PySAT.svg)](https://gitter.im/USGS-Astrogeology/PySAT?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
# Installation



  - Install [Anaconda Python](https://www.continuum.io/downloads).  Be sure to get Python 3.x
  - Download or clone this repository
  - `cd` into this repository and execute `conda env create`.  This will read the `environment.yml` file and install (using conda) all dependencies in a self-contained environment.
  - `source activate pysat` to activate said environment.

# Demo

  - Execute the `jupyter notebook` that will open a new browser tab with the Jupyter homepage.
  - Launch (click) the `Kaguya_Spectral_Profiler.ipynb` notebook.



