def ex_analysis():
# Print the installed version of pyspedas
pyspedas.version()
# Delete any existing pytplot variables
pytplot.del_data()
# Download THEMIS state data for 2015-12-31
pyspedas.load_data('themis', '2015-12-31', ['tha'], 'state', 'l1')
# Use some analysis functions on tplot variables
pyspedas.subtract_average('tha_pos')
pyspedas.subtract_median('tha_pos')
# Plot
pytplot.tplot(["tha_pos", "tha_pos-d", "tha_pos-m"])
def ex_analysis():
# Delete any existing pytplot variables
pytplot.del_data()
# Download THEMIS state data for 2015-12-31
time_range = ['2015-12-31 00:00:00', '2015-12-31 23:59:59']
pyspedas.themis.state(probe='a', trange=time_range)
# Use some analysis functions on tplot variables
pyspedas.subtract_average('tha_pos')
pyspedas.subtract_median('tha_pos')
# Plot
pytplot.tplot(["tha_pos", "tha_pos-d", "tha_pos-m"])
# Return 1 as indication that the example finished without problems.
return 1
Analysis Tools
========================================================================== '''
# subtract_average
from pyspedas import subtract_average
subtract_average('mms4_fgm_b_gsm_brst_l2')
tplot(['mms4_fgm_b_gsm_brst_l2', 'mms4_fgm_b_gsm_brst_l2-d'])
# subtract_median
from pyspedas import subtract_median
subtract_median('mms4_fgm_b_gsm_brst_l2')
tplot([
'mms4_fgm_b_gsm_brst_l2', 'mms4_fgm_b_gsm_brst_l2-d',
'mms4_fgm_b_gsm_brst_l2-m'
])
# time clip
from pyspedas import time_clip
time_clip([
'mms4_fgm_b_gsm_brst_l2', 'mms4_fgm_b_gsm_brst_l2-d',
'mms4_fgm_b_gsm_brst_l2-m'
],
'2015-10-16/13:06:45',
'2015-10-16/13:07',
def test_subtract_median(self):
subtract_median('test')
d = get_data('test-m')
self.assertTrue(d[1].tolist() == [-3.5, -1.5, 1.5, 8.5, 13.5, -5.5])
def test_subtract_median(self):
"""Test subtract_median."""
subtract_median('aaabbbccc') # Test non-existent name
subtract_median('test')
d = get_data('test-m')
self.assertTrue(d[1].tolist() == [-3.5, -1.5, 1.5, 8.5, 13.5, -5.5])
dn = [[3., 5., 8.], [15., 20., 1.], [3., 5., 8.], [15., 20., 1.],
[23., 15., 28.], [15., 20., float('nan')]]
store_data('test1', data={'x': [1., 2., 3., 4., 5., 6.], 'y': dn})
subtract_median('aaabbbcc')
subtract_median('test1', new_names='aabb')
d = get_data('aabb')
subtract_median(['test', 'aabb'], new_names='aaabbb')
subtract_median('test1', overwrite=1)
subtract_average('test', new_names="testtest")
subtract_average(['test-m', 'test'], new_names="testtest2")
self.assertTrue(len(d[1]) == 6)