spedas / pyspedas / 17001196665

coverage: 89.516% (+0.7%) from 88.849%
17001196665

push

github

web-flow 
Merge branch 'pyspedas_2_0_dev' into master

5072 of 6199 new or added lines in 413 files covered. (81.82%)

8 existing lines in 2 files now uncovered.

40061 of 44753 relevant lines covered (89.52%)

0.9 hits per line

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

82.61
/pyspedas/tplot_tools/convert_tplotxarray_to_pandas_dataframe.py
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




1✔






7



import numpy as np




1✔






8



from dateutil.parser import parse




1✔






9



import pyspedas




1✔






10



import copy




1✔





11












12













13



def convert_tplotxarray_to_pandas_dataframe(name, no_spec_bins=False):




1✔






14



    import pandas as pd




1✔





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




1✔






20



    while len(matrix.shape) > 3:




1✔






NEW


21



        matrix = np.nansum(matrix, 3)




×








22



    if len(matrix.shape) == 3:




1✔






NEW


23



        matrix = np.nansum(matrix, 1)




×








24



    return_data = pd.DataFrame(matrix)




1✔






25



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




1✔





26













27



    if no_spec_bins:




1✔






28



        return return_data




1✔





29













30



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




1✔






31



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




1✔






32



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




1✔






NEW


33



            spec_bins = spec_bins.transpose()




×







34



        else:











35



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




1✔





36













37



        return return_data, spec_bins




1✔





38













NEW


39



    return return_data




×





















    

  • 

    •