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

Source File
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27.78

/pyspedas/tplot_tools/tplot_math/add.py

# Copyright 2018 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
import copy
import logging
from pyspedas.tplot_tools import store_data, tinterp

def add(tvar1,tvar2,newname=None):
    """
    Adds two tplot variables together.  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.  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.add('a','c',newname='a+c')
        >>> pyspedas.get_data('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 2018 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	import copy	3✔
8	import logging	3✔
9	from pyspedas.tplot_tools import store_data, tinterp	3✔
10
11	def add(tvar1,tvar2,newname=None):	3✔
12	"""
13	Adds two tplot variables together. Will interpolate if the two are not on the same time cadence.
14
15	Parameters:
16	tvar1 : str
17	Name of first tplot variable.
18	tvar2 : int/float
19	Name of second tplot variable
20	newname : str
21	Name of new tvar for added data. If not set, then the data in tvar1 is replaced.
22
23	Returns:
24	None
25
26	Examples
27	--------
28
29	>>> pyspedas.store_data('a', data={'x':[0,4,8,12,16], 'y':[1,2,3,4,5]})
30	>>> pyspedas.store_data('c', data={'x':[0,4,8,12,16,19,21], 'y':[1,4,1,7,1,9,1]})
31	>>> pyspedas.add('a','c',newname='a+c')
32	>>> pyspedas.get_data('a+c')
33	"""
34
35	# interpolate tvars
UNCOV 36	tv2 = tinterp(tvar1, tvar2)	×
37
38	# separate and subtract data
UNCOV 39	data1 = pyspedas.tplot_tools.data_quants[tvar1].values	×
UNCOV 40	data2 = pyspedas.tplot_tools.data_quants[tv2].values	×
UNCOV 41	data = data1 + data2	×
42
43	# store subtracted data
UNCOV 44	if newname is None:	×
45	pyspedas.tplot_tools.data_quants[tvar1].values = data	×
46	return tvar1	×
47
UNCOV 48	if 'spec_bins' in pyspedas.tplot_tools.data_quants[tvar1].coords:	×
49	store_data(newname, data={'x': pyspedas.tplot_tools.data_quants[tvar1].coords['time'].values, 'y': data,	×
50	'v': pyspedas.tplot_tools.data_quants[tvar1].coords['spec_bins'].values})
51	pyspedas.tplot_tools.data_quants[newname].attrs = copy.deepcopy(pyspedas.tplot_tools.data_quants[tvar1].attrs)	×
52	else:
UNCOV 53	store_data(newname, data={'x': pyspedas.tplot_tools.data_quants[tvar1].coords['time'].values, 'y': data})	×
UNCOV 54	pyspedas.tplot_tools.data_quants[newname].attrs = copy.deepcopy(pyspedas.tplot_tools.data_quants[tvar1].attrs)	×
55
UNCOV 56	return newname	×

spedas / pyspedas / 25194239086

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