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Some examples that show how to achieve the same results using either IDL SPEDAS or python pySPEDAS. | Some examples that show how to achieve the same results using either IDL SPEDAS or python pySPEDAS. | ||
* [[Smooth function]] | |||
* [[Spectrogram]] | |||
| Line 12: | Line 15: | ||
; smooth data | ; smooth data | ||
t = | t = [1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12.] | ||
y = [3., 5., 8., 15., 20., 1., 2., 3., 4., 5., 6., 4.] | y = [3., 5., 8., 15., 20., 1., 2., 3., 4., 5., 6., 4.] | ||
| Line 27: | Line 30: | ||
get_data, 'smooth', data=d | get_data, 'smooth', data=d | ||
print, 'Smooth data:', d.y | print, 'Smooth data:', d.y | ||
; Results: | ; Results: | ||
| Line 65: | Line 67: | ||
Smooth data: [ 3., 5., 10.2, 9.8, 9.2, 8.2 6., 3., 4., 4.4, 6., 4.] | Smooth data: [ 3., 5., 10.2, 9.8, 9.2, 8.2 6., 3., 4., 4.4, 6., 4.] | ||
""" | """ | ||
# Run the example code | # Run the example code | ||
ex_test_smooth() | ex_test_smooth() | ||
</pre> | </pre> | ||
Latest revision as of 22:55, 24 April 2020
Comparisons of pySPEDAS to IDL SPEDAS
Some examples that show how to achieve the same results using either IDL SPEDAS or python pySPEDAS.
Smooth function
- IDL code:
pro test_smooth
; smooth data
t = [1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12.]
y = [3., 5., 8., 15., 20., 1., 2., 3., 4., 5., 6., 4.]
store_data, 'original', data={x:t, y:y}
tsmooth2, 'original', 5, newname = 'smooth'
ylim, 'original', 0, 20
ylim, 'smooth', 0, 20
tplot, ['original', 'smooth']
get_data, 'original', data=d0
print, 'Original data:', d0.y
get_data, 'smooth', data=d
print, 'Smooth data:', d.y
; Results:
;Original data: 3.00000 5.00000 8.00000 15.0000 20.0000 1.00000 2.00000 3.00000 4.00000 5.00000 6.00000 4.00000
;Smooth data: 3.00000 5.00000 10.2000 9.80000 9.20000 8.20000 6.00000 3.00000 4.00000 4.40000 6.00000 4.00000
end
- Python code:
import pytplot
from pyspedas.analysis.tsmooth import tsmooth
def ex_test_smooth():
t = [1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12.]
y = [3., 5., 8., 15., 20., 1., 2., 3., 4., 5., 6., 4.]
pytplot.store_data('original', data={'x': t, 'y': y})
tsmooth('original', width=5, new_names='smooth', preserve_nans=1)
pytplot.tplot(['original', 'smooth'])
d0 = pytplot.get_data('original')
print('Original data: ', d0[1])
d = pytplot.get_data('smooth')
print('Smooth data: ', d[1])
"""
Results:
Original data:[ 3., 5., 8., 15., 20., 1., 2., 3., 4., 5., 6., 4.]
Smooth data: [ 3., 5., 10.2, 9.8, 9.2, 8.2 6., 3., 4., 4.4, 6., 4.]
"""
# Run the example code
ex_test_smooth()