def _get_Berger_data(verbose=True):
<EOL>orbit91_pd, path = load_data_source(local_path = local_path,<EOL>remote_source_list = [threddspath, NCDCpath],<EOL>open_method = pd.read_csv,<EOL>open_method_kwargs = {'<STR_LIT>': True, '<STR_LIT>':<NUM_LIT:1>},<EOL>verbose=verbose,)<EOL>orbit = xr.Dataset(orbit91_pd).rename({'<STR_LIT>': '<STR_LIT>'})<EOL>orbit = orbit.rename({'<STR_LIT>': '<STR_LIT>', '<STR_LIT>': '<STR_LIT>',<EOL>'<STR_LIT>': '<STR_LIT>', '<STR_LIT>': '<STR_LIT>'})<EOL>orbit['<STR_LIT>'] += <NUM_LIT><EOL>orbit['<STR_LIT>'] *= -<NUM_LIT:1.><EOL>orbit.attrs['<STR_LIT>'] = '<STR_LIT>'<EOL>orbit.attrs['<STR_LIT>'] = '<STR_LIT>'<EOL>orbit.attrs['<STR_LIT>'] = path<EOL>orbit.attrs['<STR_LIT>'] = '<STR_LIT>'<EOL>return orbit<EOL>
Read in the Berger and Loutre orbital table as a pandas dataframe, convert to xarray