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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60.87

/pyspedas/tplot_tools/convert_tplotxarray_to_pandas_dataframe.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 datetime
import numpy as np
from dateutil.parser import parse
import pyspedas
import copy


def convert_tplotxarray_to_pandas_dataframe(name, no_spec_bins=False):
    import pandas as pd
    # This function is not final, and will presumably change in the future
    # This function sums over all dimensions except for the second non-time one.
    # This collapses many dimensions into just a single "energy bin" dimensions

    matrix = pyspedas.tplot_tools.data_quants[name].values
    while len(matrix.shape) > 3:
        matrix = np.nansum(matrix, 3)
    if len(matrix.shape) == 3:
        matrix = np.nansum(matrix, 1)
    return_data = pd.DataFrame(matrix)
    return_data = return_data.set_index(pd.Index(pyspedas.tplot_tools.data_quants[name].coords['time'].values))

    if no_spec_bins:
        return return_data

    if 'spec_bins' in pyspedas.tplot_tools.data_quants[name].coords:
        spec_bins = pd.DataFrame(pyspedas.tplot_tools.data_quants[name].coords['spec_bins'].values)
        if len(pyspedas.tplot_tools.data_quants[name].coords['spec_bins'].shape) == 1:
            spec_bins = spec_bins.transpose()
        else:
            spec_bins = spec_bins.set_index(pd.Index(pyspedas.tplot_tools.data_quants[name].coords['time'].values))

        return return_data, spec_bins

    return return_data

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 datetime	3✔
7	import numpy as np	3✔
8	from dateutil.parser import parse	3✔
9	import pyspedas	3✔
10	import copy	3✔
11
12
13	def convert_tplotxarray_to_pandas_dataframe(name, no_spec_bins=False):	3✔
14	import pandas as pd	3✔
15	# This function is not final, and will presumably change in the future
16	# This function sums over all dimensions except for the second non-time one.
17	# This collapses many dimensions into just a single "energy bin" dimensions
18
19	matrix = pyspedas.tplot_tools.data_quants[name].values	3✔
20	while len(matrix.shape) > 3:	3✔
21	matrix = np.nansum(matrix, 3)	×
22	if len(matrix.shape) == 3:	3✔
23	matrix = np.nansum(matrix, 1)	×
24	return_data = pd.DataFrame(matrix)	3✔
25	return_data = return_data.set_index(pd.Index(pyspedas.tplot_tools.data_quants[name].coords['time'].values))	3✔
26
27	if no_spec_bins:	3✔
28	return return_data	3✔
29
UNCOV 30	if 'spec_bins' in pyspedas.tplot_tools.data_quants[name].coords:	×
UNCOV 31	spec_bins = pd.DataFrame(pyspedas.tplot_tools.data_quants[name].coords['spec_bins'].values)	×
UNCOV 32	if len(pyspedas.tplot_tools.data_quants[name].coords['spec_bins'].shape) == 1:	×
33	spec_bins = spec_bins.transpose()	×
34	else:
UNCOV 35	spec_bins = spec_bins.set_index(pd.Index(pyspedas.tplot_tools.data_quants[name].coords['time'].values))	×
36
UNCOV 37	return return_data, spec_bins	×
38
39	return return_data	×

spedas / pyspedas / 25194239086

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