timestamp_as_object (`bool`, defaults to `False`):
                Cast non-nanosecond timestamps (`np.datetime64`) to objects. This is
                useful if you have timestamps that don't fit in the normal date
                range of nanosecond timestamps (1678 CE-2262 CE).
                If `False`, all timestamps are converted to `datetime64[ns]` dtype.
            use_threads (`bool`, defaults to `True`):
                Whether to parallelize the conversion using multiple threads.
            deduplicate_objects (`bool`, defaults to `False`):
                Do not create multiple copies Python objects when created, to save
                on memory use. Conversion will be slower.
            ignore_metadata (`bool`, defaults to `False`):
                If `True`, do not use the 'pandas' metadata to reconstruct the
                DataFrame index, if present.
            safe (`bool`, defaults to `True`):
                For certain data types, a cast is needed in order to store the