def test_load_extof_suffix(self):
data = mms_load_eis(trange=['2015-10-16/13:06', '2015-10-16/13:07'],
data_rate='brst',
datatype='extof',
suffix='_test')
self.assertTrue(
data_exists('mms1_epd_eis_brst_extof_proton_flux_omni_test'))
def test_load_phxtof_spdf(self):
data = mms_load_eis(trange=['2015-10-16/13:06', '2015-10-16/13:07'],
datatype='phxtof',
data_rate='brst',
spdf=True)
self.assertTrue(
data_exists('mms1_epd_eis_brst_phxtof_proton_flux_omni'))
# save the B-field vector
store_data('b_vector', data={'x': times, 'y': fgm_data[:, 0:3]})
# save the B-field magnitude
store_data('b_mag', data={'x': times, 'y': fgm_data[:, 3]})
# the keywords are very flexible, e.g.,
from pyspedas.mms import mms_load_hpca, mms_load_eis, mms_load_feeps, mms_load_aspoc
# specify multiple probes as integers, and multiple datatypes
mms_load_hpca(probe=[1, 2, 4],
data_rate='brst',
datatype=['moments', 'ion'],
trange=['2015-10-16/13:06', '2015-10-16/13:07'])
mms_load_eis(probe='4',
data_rate='brst',
datatype=['phxtof', 'extof'],
trange=['2015-10-16/13:06', '2015-10-16/13:07'])
mms_load_feeps(get_support_data=True,
probe=2,
data_rate=['srvy', 'brst'],
trange=['2015-10-16/13:06', '2015-10-16/13:07'])
mms_load_aspoc()
''' ==========================================================================
Plotting MMS Data in Python
========================================================================== '''
from pytplot import tplot
# like in IDL, pyTplot supports strings, lists of strings, as well as tplot variable #s
def test_load_phxtof_data(self):
data = mms_load_eis(trange=['2015-10-16', '2015-10-16/01:00'], datatype='phxtof')
self.assertTrue(data_exists('mms1_epd_eis_phxtof_proton_flux_omni'))
