Space Technology 5 (ST5)

The routines in this module can be used to load data from the Space Technology 5 (ST5) mission.

Magnetometer (MAG)

pyspedas.st5.mag(trange=['2006-06-01', '2006-06-02'], probe='094', datatype='1sec', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False)[source]

This function loads data from the Magnetometer (MAG)

Parameters:

trange (list of str) – time range of interest [starttime, endtime] with the format ‘YYYY-MM-DD’,’YYYY-MM-DD’] or to specify more or less than a day [‘YYYY-MM-DD/hh:mm:ss’,’YYYY-MM-DD/hh:mm:ss’] Default: [‘2006-06-01’, ‘2006-06-02’]
probe (str) – Probe #; Valid options: ‘094’, ‘224’, ‘155’ Default: ‘094’
datatype (str) – Data type; options: ‘1sec’ Default: ‘1sec’
suffix (str) – The tplot variable names will be given this suffix. Default: ‘’, no suffix is added.
get_support_data (bool) – Data with an attribute “VAR_TYPE” with a value of “support_data” will be loaded into tplot. Default: False. Only loads in data with a “VAR_TYPE” attribute of “data”.
varformat (str) – The file variable formats to load into tplot. Wildcard character “*” is accepted. Default: None. All variables are loaded in.
varnames (list of str) – List of variable names to load. Default: []. If not specified, all data variables are loaded.
downloadonly (bool) – Set this flag to download the CDF files, but not load them into tplot variables Default: False
notplot (bool) – Return the data in hash tables instead of creating tplot variables Default: False
no_update (bool) – If set, only load data from your local cache Default: False
time_clip (bool) – Time clip the variables to exactly the range specified in the trange keyword Default: False

Return type:

List of tplot variables created.

Example:

>>> import pyspdedas
>>> from pytplot import tplot
>>> mag_vars = pyspedas.st5.mag(trange=['2006-06-01', '2006-06-02'])
>>> tplot(['B_SM', 'SC_POS_SM'])

Example

import pyspedas
from pytplot import tplot
st5_vars = pyspedas.st5.mag(trange=['2006-06-01', '2006-06-02'])
tplot(['B_SM', 'SC_POS_SM'])