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Python Space Physics Environment Data Analysis Software (SPEDAS)

Project description

# pySPEDAS

[![Build Status](https://travis-ci.com/spedas/pyspedas.svg?branch=master)](https://travis-ci.com/spedas/pyspedas)

pySPEDAS is an implementation of the SPEDAS framework in python.

The Space Physics Environment Data Analysis Software ([SPEDAS](http://spedas.org/wiki)) framework is written in IDL and contains data loading, data analysis and data plotting tools for various scientific NASA missions.

This package is designed to work with the libraries [cdflib](https://github.com/MAVENSDC/cdflib) and [pytplot](https://github.com/MAVENSDC/PyTplot).

### How It Works

CDF files are downloaded from the internet to the local machine.

The data from these files is loaded into pytplot objects and can be plotted.

## Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

### Install Python

Python 3.5+ is required.

We recommend [Anaconda](https://www.continuum.io/downloads/) which comes with a suite of packages useful for science.

### Install pyspedas

To install pyspedas, open a command line and type the command:

pip install pyspedas

### Upgrade pyspedas

If you have already installed pyspedas, you can upgrade to the latest version using:

pip install –upgrade pyspedas

## Running pyspedas

After installation, please change the file pyspedas/prefs.ini and set data_dir=C:Datapythemis to a writable directory of your choice. This is the local directory where the CDF files will be saved.

To download CDF files for the Themis mission, use:

import pyspedas

pyspedas.load_data(mission, dates, probes, instruments, level, downloadonly)

For example:

d = pyspedas.load_data(‘themis’, ‘2015-12-31’, [‘tha’], ‘state’, ‘l1’, False)

### Crib sheets

Folder examples contains some crib sheets to get you started.

### Additional Information

For pytplot, see: https://github.com/MAVENSDC/PyTplot

For cdflib, see: https://github.com/MAVENSDC/cdflib

For SPEDAS, see http://spedas.org/blog/

For information on the Themis mission, see http://themis.ssl.berkeley.edu/

(This is the permanent location of pyspedas. Previous location for the initial version of pyspedas was: https://github.com/nickssl/pyspedas)

Keywords: spedas data tools Platform: UNKNOWN Classifier: Development Status :: 4 - Beta Classifier: Intended Audience :: Science/Research Classifier: Topic :: Scientific/Engineering Classifier: License :: OSI Approved :: MIT License Classifier: Programming Language :: Python :: 3 Requires-Python: >=3.5 Description-Content-Type: text/markdown

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