dataframe_to_rows doesn't work correctly with categorical data type
**dataframe_to_rows** doesn't work correctly with **category** data type. The values of the corresponding categorically column are returned not as a list, but as one value from the existing ones. As a result, the code crashes with an error > Index error: string index out of range ``` for idx, v in enumerate(expanded): row = [data[j][idx] for j in range(ncols)] ``` After brifly research the error occurs due to incorrect unpacking in this fragment, where the column is assigned one value: ``` for col_loc, col in zip(b.mgr_locs, result): data[col_loc] = col ``` **CategoricalBlock** is stored for each column separately, so they cannot be unpacked in this way. Simplest solution for me is convert category columns to string columns before dataframe_to_rows function. I suppose that in the code you can add a check for the type of datablocks, since they are stored in a single copy for each column.
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