Skip to main content

Python Space Physics Environment Data Analysis Software (SPEDAS)

Project description

pySPEDAS

Build Status Version License Status Downloads

pySPEDAS is an implementation of the SPEDAS framework in python.

The Space Physics Environment Data Analysis Software (SPEDAS) 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 and 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 which comes with a suite of packages useful for science.

Install pySPEDAS

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

conda install -c spedas pyspedas

or

pip install pyspedas

Upgrade pySPEDAS

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

conda update -c spedas pyspedas

or

pip install --upgrade pyspedas

Running pySPEDAS

Time History of Events and Macroscale Interactions during Substorms (THEMIS) data

After installation, please change the file pyspedas/prefs.ini and set data_dir=C:\Datapy\themis 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.

Magnetospheric Multiscale (MMS) data

To set your local data directory for MMS, change the local_data_dir option in pyspedas/mms/mms_config.py

To load 1 day of L2 srvy-mode FGM data:

from pyspedas import mms_load_fgm

mms_load_fgm(trange=['2015-10-16', '2015-10-17'], data_rate='srvy')

To load 1 minute of L2 brst-mode FPI electron moments data for probes 3 and 4:

from pyspedas import mms_load_fpi

mms_load_fpi(probe=[3, 4], trange=['2015-10-16/13:06', '2015-10-16/13:07'], data_rate='brst', datatype='des-moms')

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)

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-0.9.2.tar.gz (508.0 kB view details)

Uploaded Source

Built Distribution

pyspedas-0.9.2-py2.py3-none-any.whl (572.7 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file pyspedas-0.9.2.tar.gz.

File metadata

  • Download URL: pyspedas-0.9.2.tar.gz
  • Upload date:
  • Size: 508.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.2

File hashes

Hashes for pyspedas-0.9.2.tar.gz
Algorithm Hash digest
SHA256 5c9645f5d264cc816f87dc2dc6c7b11e6402c7702c9c3b0192a28f7ff4e5276f
MD5 3dda52cd1dddfbe095b37830dd949cb9
BLAKE2b-256 8e0a211f8c5b15a9160e411b46587d90935856bf3d72f9fd4eec22d82a04d3d4

See more details on using hashes here.

File details

Details for the file pyspedas-0.9.2-py2.py3-none-any.whl.

File metadata

  • Download URL: pyspedas-0.9.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 572.7 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.2

File hashes

Hashes for pyspedas-0.9.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 82ce9bf374db3ab57964789f3786bb051d710f104a393054c3da45380dbb2a07
MD5 fa8eff194578583a858dda3e4c1e2d99
BLAKE2b-256 1f76b558ebd6b4f3a9f8973923bae3264614d2f6b32ab52336d1698a3a6bf19f

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