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
Press 'n' to go to next uncovered line, 'b' for previous

75.0

/pyspedas/tplot_tools/tplot_math/clip.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
from pyspedas.tplot_tools import store_data, tnames
import numpy as np
import copy
import logging

def clip(tvar,ymin,ymax,newname=None):
    """
    Change out-of-bounds data to NaN.

    Parameters
    ----------
        tvar : str or list[str]
            tplot variable names to clip (wildcards accepted)
        ymin : int/float
            Minimum value to keep (inclusive)
        ymax : int/float
            Maximum value to keep (inclusive)
        newname : str
            Name of new tvar for clipped data storage.  If not specified, tvar will be replaced
            THIS is not an option for multiple variable input, for multiple or pseudo variables, the data is overwritten.

    Returns
    -------
        None

    Examples
    --------

        >>> Make any values below 2 and above 6 equal to NaN.
        >>> pyspedas.store_data('d', data={'x':[2,5,8,11,14,17,21], 'y':[[1,1],[2,2],[100,100],[4,4],[5,5],[6,6],[7,7]]})
        >>> pyspedas.clip('d',2,6,'e')

    """

    #check for globbed or array input, and call recursively
    tn = tnames(tvar)
    if len(tn) == 0:
        return
    elif len(tn) > 1:
        for j in range(len(tn)):
            clip(tn[j],ymin,ymax)
        return


    a = copy.deepcopy(pyspedas.tplot_tools.data_quants[tvar].where(pyspedas.tplot_tools.data_quants[tvar] >= ymin))
    a = copy.deepcopy(a.where(a <= ymax))

    if newname is None:
        a.name = tvar
        pyspedas.tplot_tools.data_quants[tvar] = a
    else:
        if 'spec_bins' in a.coords:
            store_data(newname, data={'x': a.coords['time'], 'y': a.values, 'v': a.coords['spec_bins']})
            pyspedas.tplot_tools.data_quants[newname].attrs = copy.deepcopy(pyspedas.tplot_tools.data_quants[tvar].attrs)
        else:
            store_data(newname, data={'x': a.coords['time'], 'y': a.values})
            pyspedas.tplot_tools.data_quants[newname].attrs = copy.deepcopy(pyspedas.tplot_tools.data_quants[tvar].attrs)

    return

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	from pyspedas.tplot_tools import store_data, tnames	3✔
8	import numpy as np	3✔
9	import copy	3✔
10	import logging	3✔
11
12	def clip(tvar,ymin,ymax,newname=None):	3✔
13	"""
14	Change out-of-bounds data to NaN.
15
16	Parameters
17	----------
18	tvar : str or list[str]
19	tplot variable names to clip (wildcards accepted)
20	ymin : int/float
21	Minimum value to keep (inclusive)
22	ymax : int/float
23	Maximum value to keep (inclusive)
24	newname : str
25	Name of new tvar for clipped data storage. If not specified, tvar will be replaced
26	THIS is not an option for multiple variable input, for multiple or pseudo variables, the data is overwritten.
27
28	Returns
29	-------
30	None
31
32	Examples
33	--------
34
35	>>> Make any values below 2 and above 6 equal to NaN.
36	>>> pyspedas.store_data('d', data={'x':[2,5,8,11,14,17,21], 'y':[[1,1],[2,2],[100,100],[4,4],[5,5],[6,6],[7,7]]})
37	>>> pyspedas.clip('d',2,6,'e')
38
39	"""
40
41	#check for globbed or array input, and call recursively
42	tn = tnames(tvar)	3✔
43	if len(tn) == 0:	3✔
44	return	×
45	elif len(tn) > 1:	3✔
46	for j in range(len(tn)):	×
47	clip(tn[j],ymin,ymax)	×
48	return	×
49
50
51	a = copy.deepcopy(pyspedas.tplot_tools.data_quants[tvar].where(pyspedas.tplot_tools.data_quants[tvar] >= ymin))	3✔
52	a = copy.deepcopy(a.where(a <= ymax))	3✔
53
54	if newname is None:	3✔
55	a.name = tvar	3✔
56	pyspedas.tplot_tools.data_quants[tvar] = a	3✔
57	else:
UNCOV 58	if 'spec_bins' in a.coords:	1✔
59	store_data(newname, data={'x': a.coords['time'], 'y': a.values, 'v': a.coords['spec_bins']})	×
60	pyspedas.tplot_tools.data_quants[newname].attrs = copy.deepcopy(pyspedas.tplot_tools.data_quants[tvar].attrs)	×
61	else:
UNCOV 62	store_data(newname, data={'x': a.coords['time'], 'y': a.values})	1✔
UNCOV 63	pyspedas.tplot_tools.data_quants[newname].attrs = copy.deepcopy(pyspedas.tplot_tools.data_quants[tvar].attrs)	1✔
64
65	return	3✔

spedas / pyspedas / 25194239086

Source File Press 'n' to go to next uncovered line, 'b' for previous

Source File
Press 'n' to go to next uncovered line, 'b' for previous