# 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
tplot('mms4_fgm_b_gsm_brst_l2')
tplot(['mms4_fgm_b_gsm_brst_l2', 'mms4_edp_dce_gse_brst_l2'])
# change the plot metadata
from pytplot import options
def test_load_spdf_data(self):
data = mms_load_aspoc(trange=['2015-10-16', '2015-10-16/01:00'],
spdf=True)
self.assertTrue(data_exists('mms1_aspoc_ionc_l2'))
def test_load_suffix(self):
data = mms_load_aspoc(trange=['2015-10-16', '2015-10-16/01:00'],
suffix='_test')
self.assertTrue(data_exists('mms1_aspoc_ionc_l2_test'))
def test_load_default_data(self):
data = mms_load_aspoc(trange=['2015-10-16', '2015-10-16/01:00'])
self.assertTrue(data_exists('mms1_aspoc_ionc'))