spedas / pyspedas / 23369877357

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Merge pull request #1342 from spedas/t_1341

Adds support to load USGS Variometer data, adds test cases for loading variometer data.

13 of 48 new or added lines in 3 files covered. (27.08%)

10491 existing lines in 260 files now uncovered.

44303 of 48947 relevant lines covered (90.51%)

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82.61
/pyspedas/tplot_tools/convert_tplotxarray_to_pandas_dataframe.py
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# Copyright 2018 Regents of the University of Colorado. All Rights Reserved.
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# Released under the MIT license.
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# This software was developed at the University of Colorado's Laboratory for Atmospheric and Space Physics.
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# Verify current version before use at: https://github.com/MAVENSDC/PyTplot
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import datetime




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import numpy as np




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from dateutil.parser import parse




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import pyspedas




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import copy




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def convert_tplotxarray_to_pandas_dataframe(name, no_spec_bins=False):




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    import pandas as pd




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    # This function is not final, and will presumably change in the future










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    # This function sums over all dimensions except for the second non-time one.










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    # This collapses many dimensions into just a single "energy bin" dimensions










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    matrix = pyspedas.tplot_tools.data_quants[name].values




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    while len(matrix.shape) > 3:




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        matrix = np.nansum(matrix, 3)




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    if len(matrix.shape) == 3:




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        matrix = np.nansum(matrix, 1)




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    return_data = pd.DataFrame(matrix)




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    return_data = return_data.set_index(pd.Index(pyspedas.tplot_tools.data_quants[name].coords['time'].values))




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    if no_spec_bins:




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        return return_data




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    if 'spec_bins' in pyspedas.tplot_tools.data_quants[name].coords:




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        spec_bins = pd.DataFrame(pyspedas.tplot_tools.data_quants[name].coords['spec_bins'].values)




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        if len(pyspedas.tplot_tools.data_quants[name].coords['spec_bins'].shape) == 1:




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            spec_bins = spec_bins.transpose()




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        else:











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            spec_bins = spec_bins.set_index(pd.Index(pyspedas.tplot_tools.data_quants[name].coords['time'].values))




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        return return_data, spec_bins




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    return return_data




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