def test_load_data_no_update(self):
data = mms_load_fgm(trange=['2015-10-16', '2015-10-16/01:00'
]) # make sure the files exist locally
del_data('*')
data = mms_load_fgm(
trange=['2015-10-16', '2015-10-16/01:00'],
no_update=True) # load the file from the local cache
self.assertTrue(data_exists('mms1_fgm_b_gse_srvy_l2'))
def test_regression_multi_imports_spdf(self):
data = mms_load_fgm(data_rate='brst',
trange=['2015-10-16/13:06', '2015-10-16/13:10'],
spdf=True)
t1, d1 = get_data('mms1_fgm_b_gse_brst_l2')
data = mms_load_fgm(data_rate='brst',
trange=['2015-10-16/13:06', '2015-10-16/13:10'],
spdf=True)
t2, d2 = get_data('mms1_fgm_b_gse_brst_l2')
self.assertTrue(t1.shape == t2.shape)
self.assertTrue(d1.shape == d2.shape)
def test_load_multiple_sc(self):
data = mms_load_fgm(probe=[1, 2, 3, 4],
data_rate='brst',
trange=['2015-10-16/13:06', '2015-10-16/13:10'])
self.assertTrue(data_exists('mms1_fgm_b_gse_brst_l2'))
self.assertTrue(data_exists('mms2_fgm_b_gse_brst_l2'))
self.assertTrue(data_exists('mms3_fgm_b_gse_brst_l2'))
self.assertTrue(data_exists('mms4_fgm_b_gse_brst_l2'))
========================================================================== '''
from pyspedas.mms import mms_load_mec
# start by loading some ephemeris / coordinates data;
# the default trange is Oct 16, 2015, default probe is 1
# and the default data rate is 'srvy'
mms_load_mec(probe=4)
# find info on a load routine
help(mms_load_mec)
from pyspedas.mms import mms_load_fgm
# note that the keywords are the same as in IDL
mms_load_fgm(probe='4',
data_rate='brst',
trange=['2015-10-16/13:06', '2015-10-16/13:07'],
time_clip=True)
# find which variables were loaded
from pytplot import tplot_names
tplot_names()
from pyspedas.mms import mms_load_edp
# load some burst mode electric field data
mms_load_edp(probe='4',
data_rate='brst',
trange=['2015-10-16/13:06', '2015-10-16/13:07'],
time_clip=True)
from pyspedas import tnames
def test_load_brst_data(self):
data = mms_load_fgm(data_rate='brst',
trange=['2015-10-16/13:06', '2015-10-16/13:10'])
self.assertTrue(data_exists('mms1_fgm_b_gse_brst_l2'))
def test_load_default_data(self):
data = mms_load_fgm(trange=['2015-10-16', '2015-10-16/01:00'])
self.assertTrue(data_exists('mms1_fgm_b_gse_srvy_l2'))
self.assertTrue(data_exists('Epoch'))
self.assertTrue(data_exists('Epoch_state'))
# script for pySPEDAS tutorial at the 2019 Winter Community Workshop
# agenda:
# 1. installation; requirements
# 2. loading MMS data
# 3. plotting MMS data
# 4. working with the data vales, timestamps and metadata
# 5. analysis tools
###############################################################
# 2. loading MMS data
from pyspedas.mms import mms_load_fgm, mms_load_eis
mms_load_fgm(trange=['2015-10-16', '2015-10-17'])
# the load routines accept all of the standard keywords
mms_load_eis(probe='4',
data_rate='brst',
datatype=['extof', 'phxtof'],
trange=['2015-10-16/13:05', '2015-10-16/13:10'])
# list the current tplot variables
from pytplot import tplot_names
tplot_names()
from pyspedas.mms import mms_load_fpi, mms_load_eis
###############################################################
