[GitHub] [spark] sadhen commented on a change in pull request #31735: [SPARK-34799][PYTHON][SQL] Return User-defined types from Pandas UDF

[GitBox <gi...@apache.org>]

sadhen commented on a change in pull request #31735:
URL: https://github.com/apache/spark/pull/31735#discussion_r599179400



##########
File path: python/pyspark/sql/pandas/serializers.py
##########
@@ -155,12 +157,18 @@ def _create_batch(self, series):
         from pandas.api.types import is_categorical_dtype
         # Make input conform to [(series1, type1), (series2, type2), ...]
         if not isinstance(series, (list, tuple)) or \
-                (len(series) == 2 and isinstance(series[1], pa.DataType)):
+                (len(series) == 2 and isinstance(series[1], (pa.DataType, DataType))):

Review comment:
       refactored




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