# Copyright 2020 Regents of the University of Colorado. All Rights Reserved.
# Released under the MIT license.
# This software was developed at the University of Colorado's Laboratory for Atmospheric and Space Physics.
# Verify current version before use at: https://github.com/MAVENSDC/Pytplot
import pytplot
import numpy as np
import copy
[docs]def divide(tvar1,tvar2,new_tvar=None):
"""
Divides two tplot variables. Will interpolate if the two are not on the same time cadence.
Parameters:
tvar1 : str
Name of first tplot variable.
tvar2 : int/float
Name of second tplot variable
new_tvar : str
Name of new tvar for divided data. If not set, then the data in tvar1 is replaced.
Returns:
None
Examples:
>>> pytplot.store_data('a', data={'x':[0,4,8,12,16], 'y':[1,2,3,4,5]})
>>> pytplot.store_data('c', data={'x':[0,4,8,12,16,19,21], 'y':[1,4,1,7,1,9,1]})
>>> pytplot.divide('a','c','a_over_c')
"""
# interpolate tvars
tv2 = pytplot.tplot_math.tinterp(tvar1, tvar2)
# separate and divide data
data1 = pytplot.data_quants[tvar1].values
data2 = pytplot.data_quants[tv2].values
data = data1 / data2
# store divided data
if new_tvar is None:
pytplot.data_quants[tvar1].values = data
return tvar1
if 'spec_bins' in pytplot.data_quants[tvar1].coords:
pytplot.store_data(new_tvar, data={'x': pytplot.data_quants[tvar1].coords['time'].values, 'y': data,
'v': pytplot.data_quants[tvar1].coords['spec_bins'].values})
pytplot.data_quants[new_tvar].attrs = copy.deepcopy(pytplot.data_quants[tvar1].attrs)
else:
pytplot.store_data(new_tvar, data={'x': pytplot.data_quants[tvar1].coords['time'].values, 'y': data})
pytplot.data_quants[new_tvar].attrs = copy.deepcopy(pytplot.data_quants[tvar1].attrs)
return new_tvar