ueshin commented on code in PR #41041:
URL: https://github.com/apache/spark/pull/41041#discussion_r1184526296
##########
python/pyspark/sql/pandas/serializers.py:
##########
@@ -226,9 +225,6 @@ def create_array(s, t):
s = _check_series_convert_timestamps_internal(s,
self._timezone)
elif t is not None and pa.types.is_map(t):
s = _convert_dict_to_map_items(s)
- elif is_categorical_dtype(s.dtype):
- # Note: This can be removed once minimum pyarrow version is >=
0.16.1
- s = s.astype(s.dtypes.categories.dtype)
Review Comment:
@BryanCutler Seems like if `t is None`, `pa.Array.from_pandas(s, mask=mask,
type=t, safe=self._safecheck)` handles the categorical type as integer
(`tinyint` as its code) instead of some type of `s.dtypes.categories.dtype`. Is
that an expected behavior?
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