25194239086

Committed 26 Apr 2026 08:07PM UTC coverage: 61.697% (-28.8%) from 90.54%

Build # 25194239086

Build Type

push

github

Committed by

jameswilburlewis

Commit Message

Added test for loading Cluster CODIF differential energy flux

Coverage Stats

0 of 7 new or added lines in 1 file covered. (0.0%)

19460 existing lines in 418 files now uncovered.

30204 of 48955 relevant lines covered (61.7%)

1.44 hits per line

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88.89

/pyspedas/tplot_tools/tplot_math/subtract.py

# 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 pyspedas
from pyspedas.tplot_tools import store_data, tinterp
import copy
import logging

def subtract(
        tvar1,
        tvar2,
        newname=None,
):
    """
    Subtracts 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
        newname : str
            Name of new tvar for added data.
            Default: None. If not set, then the data in tvar1 is replaced.

    Returns
    -------
        None

    Examples
    --------
        >>> pyspedas.store_data('a', data={'x':[0,4,8,12,16], 'y':[1,2,3,4,5]})
        >>> pyspedas.store_data('c', data={'x':[0,4,8,12,16,19,21], 'y':[1,4,1,7,1,9,1]})
        >>> pyspedas.subtract('a','c',newname='a-c')

    """

    #interpolate tvars
    tv2 = tinterp(tvar1,tvar2)

    #separate and subtract data
    data1 = pyspedas.tplot_tools.data_quants[tvar1].values
    data2 = pyspedas.tplot_tools.data_quants[tv2].values
    data = data1 - data2

    #store subtracted data
    if newname is None:
        pyspedas.tplot_tools.data_quants[tvar1].values = data
        return tvar1

    if 'spec_bins' in pyspedas.tplot_tools.data_quants[tvar1].coords:
        store_data(newname, data={'x': pyspedas.tplot_tools.data_quants[tvar1].coords['time'].values, 'y': data, 'v':pyspedas.tplot_tools.data_quants[tvar1].coords['spec_bins'].values})
        pyspedas.tplot_tools.data_quants[newname].attrs = copy.deepcopy(pyspedas.tplot_tools.data_quants[tvar1].attrs)
    else:
        store_data(newname,data={'x': pyspedas.tplot_tools.data_quants[tvar1].coords['time'].values, 'y': data})
        pyspedas.tplot_tools.data_quants[newname].attrs = copy.deepcopy(pyspedas.tplot_tools.data_quants[tvar1].attrs)

    return newname

1	# Copyright 2020 Regents of the University of Colorado. All Rights Reserved.
2	# Released under the MIT license.
3	# This software was developed at the University of Colorado's Laboratory for Atmospheric and Space Physics.
4	# Verify current version before use at: https://github.com/MAVENSDC/Pytplot
5
6	import pyspedas	3✔
7	from pyspedas.tplot_tools import store_data, tinterp	3✔
8	import copy	3✔
9	import logging	3✔
10
11	def subtract(	3✔
12	tvar1,
13	tvar2,
14	newname=None,
15	):
16	"""
17	Subtracts two tplot variables. Will interpolate if the two are not on the same time cadence.
18
19	Parameters
20	----------
21	tvar1 : str
22	Name of first tplot variable.
23	tvar2 : int/float
24	Name of second tplot variable
25	newname : str
26	Name of new tvar for added data.
27	Default: None. If not set, then the data in tvar1 is replaced.
28
29	Returns
30	-------
31	None
32
33	Examples
34	--------
35	>>> pyspedas.store_data('a', data={'x':[0,4,8,12,16], 'y':[1,2,3,4,5]})
36	>>> pyspedas.store_data('c', data={'x':[0,4,8,12,16,19,21], 'y':[1,4,1,7,1,9,1]})
37	>>> pyspedas.subtract('a','c',newname='a-c')
38
39	"""
40
41	#interpolate tvars
UNCOV 42	tv2 = tinterp(tvar1,tvar2)	2✔
43
44	#separate and subtract data
UNCOV 45	data1 = pyspedas.tplot_tools.data_quants[tvar1].values	2✔
UNCOV 46	data2 = pyspedas.tplot_tools.data_quants[tv2].values	2✔
UNCOV 47	data = data1 - data2	2✔
48
49	#store subtracted data
UNCOV 50	if newname is None:	2✔
51	pyspedas.tplot_tools.data_quants[tvar1].values = data	×
52	return tvar1	×
53
UNCOV 54	if 'spec_bins' in pyspedas.tplot_tools.data_quants[tvar1].coords:	2✔
UNCOV 55	store_data(newname, data={'x': pyspedas.tplot_tools.data_quants[tvar1].coords['time'].values, 'y': data, 'v':pyspedas.tplot_tools.data_quants[tvar1].coords['spec_bins'].values})	2✔
UNCOV 56	pyspedas.tplot_tools.data_quants[newname].attrs = copy.deepcopy(pyspedas.tplot_tools.data_quants[tvar1].attrs)	2✔
57	else:
UNCOV 58	store_data(newname,data={'x': pyspedas.tplot_tools.data_quants[tvar1].coords['time'].values, 'y': data})	2✔
UNCOV 59	pyspedas.tplot_tools.data_quants[newname].attrs = copy.deepcopy(pyspedas.tplot_tools.data_quants[tvar1].attrs)	2✔
60
UNCOV 61	return newname	2✔

spedas / pyspedas / 25194239086

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