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The Python Spectral Analysis Toolkit (PySAT) for planetary spectral data.

Project description

[![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.

Project details


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