Skip to main content

Python Space Physics Environment Data Analysis Software (SPEDAS)

Project description

# 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 –no-cache-dir –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/

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyspedas-0.5.7.tar.gz (11.1 kB view details)

Uploaded Source

Built Distribution

pyspedas-0.5.7-py2.py3-none-any.whl (16.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file pyspedas-0.5.7.tar.gz.

File metadata

  • Download URL: pyspedas-0.5.7.tar.gz
  • Upload date:
  • Size: 11.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyspedas-0.5.7.tar.gz
Algorithm Hash digest
SHA256 5c4f8d30291fab615991e0e81be5c36812293e7910ff885485ef60d77cb97015
MD5 ae164366bd9b8da33afe923cbb86255f
BLAKE2b-256 7755318fda86711f071ea6cc95b86e3e3a67c7c642a8bdef91492fdc8e5792f6

See more details on using hashes here.

File details

Details for the file pyspedas-0.5.7-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for pyspedas-0.5.7-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 3fe68f2f5c57d62e3f971a1c1dd6582d01a65964d2457ce52245d0ebbd1049ca
MD5 c98979bb2102e5530d6044a53a920174
BLAKE2b-256 30629cdab34e753a2b8013ae5644e8b5bc553b96dbbc0d5727125be1433938df

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page