26171438601

Committed 20 May 2026 02:07AM UTC coverage: 90.571% (+0.01%) from 90.557%

Build # 26171438601

Build Type

push

github

Committed by

jameswilburlewis

Commit Message

Fix crash when a spectrogram is plotted with Y axis interpolation is enabled and Y scaling is linear.
Add regression test for y_interp bug.

Coverage Stats

0 of 4 new or added lines in 2 files covered. (0.0%)

17831 existing lines in 383 files now uncovered.

44379 of 48999 relevant lines covered (90.57%)

1.43 hits per line

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88.89

/pyspedas/tplot_tools/tplot_math/spec_mult.py

"""
Multiplies data by stored spectrogram bins, creates new tplot variable

Notes
-----
Similar to spec_mult.pro in IDL SPEDAS.

"""

import pyspedas
from pyspedas.tplot_tools import store_data, convert_tplotxarray_to_pandas_dataframe
import pandas as pd
import copy
import logging

def spec_mult(
        tvar,
        newname=None,
):

    """
    Multiplies the data by the stored spectrogram bins and created a new tplot variable

    Note::
        This analysis routine assumes the data is no more than 2 dimensions.
        If there are more, they may become flattened!

    Parameters
    ----------
        tvar : str
            Name of tplot variable
        newname : str
            Name of new tvar in which to store interpolated data.
            Default: If none is specified, a name will be created of the form tvar_specmult.

    Returns
    -------
        None

    Examples
    --------
        >>> pyspedas.store_data('h', data={'x':[0,4,8,12,16,19,21], 'y':[[8,1,1],[100,2,3],[4,2,47],[4,39,5],[5,5,99],[6,6,25],[7,-2,-5]],'v':[[1,1,50],[2,2,3],[100,4,47],[4,90,5],[5,5,99],[6,6,25],[7,7,-5]]})
        >>> pyspedas.spec_mult('h')

    """

    if newname is None:
        newname = tvar+'_specmult'
    if 'spec_bins' not in pyspedas.tplot_tools.data_quants[tvar].coords:
        logging.error("Specified variable must have spec bins stored.  Returning...")
        return
    d, s = convert_tplotxarray_to_pandas_dataframe(tvar)
    dataframe = d.values
    specframe = s.values
    new_df = pd.DataFrame(dataframe*specframe, columns=d.columns, index=d.index)
    store_data(newname,data={'x': new_df.index,'y': new_df.values})
    pyspedas.tplot_tools.data_quants[newname].attrs = copy.deepcopy(pyspedas.tplot_tools.data_quants[tvar].attrs)
    return

1	"""
2	Multiplies data by stored spectrogram bins, creates new tplot variable
3
4	Notes
5	-----
6	Similar to spec_mult.pro in IDL SPEDAS.
7
8	"""
9
10	import pyspedas	2✔
11	from pyspedas.tplot_tools import store_data, convert_tplotxarray_to_pandas_dataframe	2✔
12	import pandas as pd	2✔
13	import copy	2✔
14	import logging	2✔
15
16	def spec_mult(	2✔
17	tvar,
18	newname=None,
19	):
20
21	"""
22	Multiplies the data by the stored spectrogram bins and created a new tplot variable
23
24	Note::
25	This analysis routine assumes the data is no more than 2 dimensions.
26	If there are more, they may become flattened!
27
28	Parameters
29	----------
30	tvar : str
31	Name of tplot variable
32	newname : str
33	Name of new tvar in which to store interpolated data.
34	Default: If none is specified, a name will be created of the form tvar_specmult.
35
36	Returns
37	-------
38	None
39
40	Examples
41	--------
42	>>> pyspedas.store_data('h', data={'x':[0,4,8,12,16,19,21], 'y':[[8,1,1],[100,2,3],[4,2,47],[4,39,5],[5,5,99],[6,6,25],[7,-2,-5]],'v':[[1,1,50],[2,2,3],[100,4,47],[4,90,5],[5,5,99],[6,6,25],[7,7,-5]]})
43	>>> pyspedas.spec_mult('h')
44
45	"""
46
UNCOV 47	if newname is None:	1✔
UNCOV 48	newname = tvar+'_specmult'	1✔
UNCOV 49	if 'spec_bins' not in pyspedas.tplot_tools.data_quants[tvar].coords:	1✔
50	logging.error("Specified variable must have spec bins stored. Returning...")	×
51	return	×
UNCOV 52	d, s = convert_tplotxarray_to_pandas_dataframe(tvar)	1✔
UNCOV 53	dataframe = d.values	1✔
UNCOV 54	specframe = s.values	1✔
UNCOV 55	new_df = pd.DataFrame(dataframe*specframe, columns=d.columns, index=d.index)	1✔
UNCOV 56	store_data(newname,data={'x': new_df.index,'y': new_df.values})	1✔
UNCOV 57	pyspedas.tplot_tools.data_quants[newname].attrs = copy.deepcopy(pyspedas.tplot_tools.data_quants[tvar].attrs)	1✔
UNCOV 58	return	1✔

spedas / pyspedas / 26171438601

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