Error while saving a pandas DataFrame to a feather file, using to_feather() function

Question

I am trying to save a pandas dataframe to a feather file using a pandas function .to_feather() as shown below; df.to_feather("D:\{}.feather".format(parms['table_or_view_name']))

But I am getting an error pointing to pyarrow library, please be noted that I have already upgraded the pyarrow to the most recent build(7.0.0), despite that I am still facing the same issue:

ArrowInvalid                              Traceback (most recent call last)
<ipython-input-26-5459a546a0cb> in <module>
----> 1 df.to_feather("D:\{}.feather".format(parms['table_or_view_name']))

~\AppData\Roaming\Python\Python38\site-packages\pandas\util\_decorators.py in wrapper(*args, **kwargs)
    205                 else:
    206                     kwargs[new_arg_name] = new_arg_value
--> 207             return func(*args, **kwargs)
    208 
    209         return cast(F, wrapper)

~\AppData\Roaming\Python\Python38\site-packages\pandas\core\frame.py in to_feather(self, path, **kwargs)
   2517         from pandas.io.feather_format import to_feather
   2518 
-> 2519         to_feather(self, path, **kwargs)
   2520 
   2521     @doc(

~\AppData\Roaming\Python\Python38\site-packages\pandas\io\feather_format.py in to_feather(df, path, storage_options, **kwargs)
     85         path, "wb", storage_options=storage_options, is_text=False
     86     ) as handles:
---> 87         feather.write_feather(df, handles.handle, **kwargs)
     88 
     89 

C:\ProgramData\Anaconda3\lib\site-packages\pyarrow\feather.py in write_feather(df, dest, compression, compression_level, chunksize, version)
    152 
    153     if _pandas_api.is_data_frame(df):
--> 154         table = Table.from_pandas(df, preserve_index=False)
    155 
    156         if version == 1:

C:\ProgramData\Anaconda3\lib\site-packages\pyarrow\table.pxi in pyarrow.lib.Table.from_pandas()

C:\ProgramData\Anaconda3\lib\site-packages\pyarrow\pandas_compat.py in dataframe_to_arrays(df, schema, preserve_index, nthreads, columns, safe)
    592 
    593     if nthreads == 1:
--> 594         arrays = [convert_column(c, f)
    595                   for c, f in zip(columns_to_convert, convert_fields)]
    596     else:

C:\ProgramData\Anaconda3\lib\site-packages\pyarrow\pandas_compat.py in <listcomp>(.0)
    592 
    593     if nthreads == 1:
--> 594         arrays = [convert_column(c, f)
    595                   for c, f in zip(columns_to_convert, convert_fields)]
    596     else:

C:\ProgramData\Anaconda3\lib\site-packages\pyarrow\pandas_compat.py in convert_column(col, field)
    579             e.args += ("Conversion failed for column {!s} with type {!s}"
    580                        .format(col.name, col.dtype),)
--> 581             raise e
    582         if not field_nullable and result.null_count > 0:
    583             raise ValueError("Field {} was non-nullable but pandas column "

C:\ProgramData\Anaconda3\lib\site-packages\pyarrow\pandas_compat.py in convert_column(col, field)
    573 
    574         try:
--> 575             result = pa.array(col, type=type_, from_pandas=True, safe=safe)
    576         except (pa.ArrowInvalid,
    577                 pa.ArrowNotImplementedError,

C:\ProgramData\Anaconda3\lib\site-packages\pyarrow\array.pxi in pyarrow.lib.array()

C:\ProgramData\Anaconda3\lib\site-packages\pyarrow\array.pxi in pyarrow.lib._ndarray_to_array()

C:\ProgramData\Anaconda3\lib\site-packages\pyarrow\error.pxi in pyarrow.lib.check_status()

ArrowInvalid: ('cannot mix list and non-list, non-null values', 'Conversion failed for column Resources with type object')

Note: This error only occurs when I try to save the file as to_feather(), but when I tried to save the dataframe as .to_json() it worked.

Please suggest if there is any workaround for this error, thanks in advance.