Another traceback (smaller data)

Traceback2

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-3-0557ca61f3fa> in <module>
      1 from wuvars.analysis.create_summary_spreadsheets import make_summary_spreadsheets_for_errorcorrected_data_debug
----> 2 make_summary_spreadsheets_for_errorcorrected_data_debug()

~/Documents/Variability_Project_2020/wuvars/analysis/create_summary_spreadsheets.py in make_summary_spreadsheets_for_errorcorrected_data_debug()
    182         print(f"Starting at: {startTime}")
    183 
--> 184         write_summary_spreadsheet(input_path, output_path)
    185 
    186         print(f"WSERV{wserv} elapsed time: ", datetime.now() - startTime)

~/Documents/Variability_Project_2020/wuvars/analysis/create_summary_spreadsheets.py in write_summary_spreadsheet(filename, output)
     23     df = dat.to_pandas()
     24 
---> 25     ds = spreadsheet_maker(df)
     26     ds.to_hdf(output, key="table")
     27 

~/Documents/Variability_Project_2020/wuvars/analysis/variability_selection.py in spreadsheet_maker(df)
    322     data_nuller(df)
    323 
--> 324     df_spreadsheet = df.groupby("SOURCEID").apply(f_mi)
    325 
    326     return df_spreadsheet

~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/groupby/groupby.py in apply(self, func, *args, **kwargs)
    892         with option_context("mode.chained_assignment", None):
    893             try:
--> 894                 result = self._python_apply_general(f, self._selected_obj)
    895             except TypeError:
    896                 # gh-20949

~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/groupby/groupby.py in _python_apply_general(self, f, data)
    926             data after applying f
    927         """
--> 928         keys, values, mutated = self.grouper.apply(f, data, self.axis)
    929 
    930         return self._wrap_applied_output(

~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/groupby/ops.py in apply(self, f, data, axis)
    187         result_values = None
    188 
--> 189         sdata: FrameOrSeries = splitter._get_sorted_data()
    190         if sdata.ndim == 2 and np.any(sdata.dtypes.apply(is_extension_array_dtype)):
    191             # calling splitter.fast_apply will raise TypeError via apply_frame_axis0

~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/groupby/ops.py in _get_sorted_data(self)
    981 
    982     def _get_sorted_data(self) -> FrameOrSeries:
--> 983         return self.data.take(self.sort_idx, axis=self.axis)
    984 
    985     def _chop(self, sdata, slice_obj: slice) -> NDFrame:

~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py in take(self, indices, axis, is_copy, **kwargs)
   3584 
   3585         new_data = self._mgr.take(
-> 3586             indices, axis=self._get_block_manager_axis(axis), verify=True
   3587         )
   3588         return self._constructor(new_data).__finalize__(self, method="take")

~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/internals/managers.py in take(self, indexer, axis, verify, convert)
   1473         new_labels = self.axes[axis].take(indexer)
   1474         return self.reindex_indexer(
-> 1475             new_axis=new_labels, indexer=indexer, axis=axis, allow_dups=True
   1476         )
   1477 

~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/internals/managers.py in reindex_indexer(self, new_axis, indexer, axis, fill_value, allow_dups, copy, consolidate, only_slice)
   1317                     ),
   1318                 )
-> 1319                 for blk in self.blocks
   1320             ]
   1321 

~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/internals/managers.py in <listcomp>(.0)
   1317                     ),
   1318                 )
-> 1319                 for blk in self.blocks
   1320             ]
   1321 

~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/internals/blocks.py in take_nd(self, indexer, axis, new_mgr_locs, fill_value)
   1384 
   1385         new_values = algos.take_nd(
-> 1386             values, indexer, axis=axis, allow_fill=allow_fill, fill_value=fill_value
   1387         )
   1388 

~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/algorithms.py in take_nd(arr, indexer, axis, out, fill_value, allow_fill)
   1757         arr.ndim, arr.dtype, out.dtype, axis=axis, mask_info=mask_info
   1758     )
-> 1759     func(arr, indexer, out, fill_value)
   1760 
   1761     if flip_order:

pandas/_libs/algos_take_helper.pxi in pandas._libs.algos.take_2d_axis1_float32_float32()

ValueError: Big-endian buffer not supported on little-endian compiler