Package for SPEDAS data loading modules

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  • License: MIT License (MIT)
  • Author: Nick Hatzigeorgiu
  • Tags spedas, data, tools
  • Requires: Python >=3
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Project description

pyspedas

Load data from SPEDAS CDF files into pytplot.

Pyspedas is a python package that contains data loading modules for various scientific NASA missions.

The load routines are designed to work with the libraries cdflib, pytplot.

How It Works

CDF files are downloaded from the internet to the local machine. Local data directory is specified in the file spd_prefs_txt.py.

Install Python

You will need the Anaconda distribution of Python 3 in order to run pyspedas.

Anaconda comes with a suite of packages that are useful for data science.

You should also install git which makes installation of python packages easier.

Install pyspedas

To install pyspedas, use the command:

pip install git+https://github.com/nickssl/pyspedas

Running pyspedas

After installation, please change the file pyspedas\spd_prefs_txt.py and set data_dir=C:\Datapy\themis to a directory of your choice.

To download CDF files for the Themis mission, use:

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

Example:

d = pyspedas.load_data('themis', '2015-12-31', ['tha'], '*', 'l2', False)

Parameters:

  • mission = 'themis' the name of the mission, currently only 'themis' is available
  • dates = '2015-12-31' list of dates to be downloaded
  • probes = ['tha', 'tha'] list of probes ['tha', 'tha', 'thc', 'thd', 'the'], wildcard ('*') for all probes
  • instruments = ['fft'] list of instruments, wildcard ('*') for all instruments
  • level = 'l2' either 'l2' or 'l1'
  • downloadonly = True if True then CDF files are downloaded only, if False then they are also loaded into pytplot using pytplot.cdf_to_tplot

List of possible values for L2 themis "instruments" variable:

['efi', 'esa', 'fbk', 'fft', 'fgm', 'fit', 'gmom', 'mom', 'scm', 'sst']

List of possible values for L1 themis "instruments" variable:

['bau', 'eff', 'efp', 'efw', 'esa', 'fbk', 'fff_16', 'fff_32', 'fff_64', 'ffp_16', 'ffp_32', 'ffp_64', 'ffw_16', 'ffw_32', 'ffw_64', 'fgm', 'fit', 'hsk', 'mom', 'scf', 'scm', 'scmode', 'scp', 'scw', 'spin', 'sst', 'state', 'trg', 'vaf', 'vap', 'vaw']

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/

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jameswilburlewis from gravatar.com jameswilburlewis Avatar for nickssl from gravatar.com nickssl Avatar for supervised from gravatar.com supervised

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Nick Hatzigeorgiu
  • Tags spedas, data, tools
  • Requires: Python >=3
Classifiers

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