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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81.82

/pyspedas/tplot_tools/tplot_math/tinterp.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
import copy


def tinterp(tvar1,tvar2,replace=False):
    """
    Interpolates one tplot variable to another one's time cadence.  This is done automatically by other processing routines.

    Parameters
    ----------
        tvar1 : str
            Name of first tplot variable whose times will be used to interpolate tvar2's data.
        tvar2 : str
            Name of second tplot variable whose data will be interpolated.
        replace : bool, optional
            If true, the data in the original tplot variable is replaced.  Otherwise, a variable is created.

    Returns
    -------
        str
            Name of the new tplot variable

    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.tinterp('a','c')

    """
    new_tvar2 = pyspedas.tplot_tools.data_quants[tvar2].interp_like(pyspedas.tplot_tools.data_quants[tvar1])

    if replace:
        pyspedas.tplot_tools.data_quants[tvar2] = new_tvar2
        return
    else:
        pyspedas.tplot_tools.data_quants[tvar1 + '_tinterp'] = copy.deepcopy(new_tvar2)
        pyspedas.tplot_tools.data_quants[tvar1 + '_tinterp'].attrs = copy.deepcopy(new_tvar2.attrs)
        pyspedas.tplot_tools.data_quants[tvar1 + '_tinterp'].name = tvar1 + '_tinterp'

    return tvar1 + '_tinterp'

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	import copy	3✔
8
9
10	def tinterp(tvar1,tvar2,replace=False):	3✔
11	"""
12	Interpolates one tplot variable to another one's time cadence. This is done automatically by other processing routines.
13
14	Parameters
15	----------
16	tvar1 : str
17	Name of first tplot variable whose times will be used to interpolate tvar2's data.
18	tvar2 : str
19	Name of second tplot variable whose data will be interpolated.
20	replace : bool, optional
21	If true, the data in the original tplot variable is replaced. Otherwise, a variable is created.
22
23	Returns
24	-------
25	str
26	Name of the new tplot variable
27
28	Examples
29	--------
30	>>> pyspedas.store_data('a', data={'x':[0,4,8,12,16], 'y':[1,2,3,4,5]})
31	>>> pyspedas.store_data('c', data={'x':[0,4,8,12,16,19,21], 'y':[1,4,1,7,1,9,1]})
32	>>> pyspedas.tinterp('a','c')
33
34	"""
UNCOV 35	new_tvar2 = pyspedas.tplot_tools.data_quants[tvar2].interp_like(pyspedas.tplot_tools.data_quants[tvar1])	2✔
36
UNCOV 37	if replace:	2✔
38	pyspedas.tplot_tools.data_quants[tvar2] = new_tvar2	×
39	return	×
40	else:
UNCOV 41	pyspedas.tplot_tools.data_quants[tvar1 + '_tinterp'] = copy.deepcopy(new_tvar2)	2✔
UNCOV 42	pyspedas.tplot_tools.data_quants[tvar1 + '_tinterp'].attrs = copy.deepcopy(new_tvar2.attrs)	2✔
UNCOV 43	pyspedas.tplot_tools.data_quants[tvar1 + '_tinterp'].name = tvar1 + '_tinterp'	2✔
44
UNCOV 45	return tvar1 + '_tinterp'	2✔

spedas / pyspedas / 25194239086

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