cloud-fan commented on a change in pull request #27466:
[SPARK-30722][PYTHON][DOCS] Update documentation for Pandas UDF with Python
type hints
URL: https://github.com/apache/spark/pull/27466#discussion_r377026073
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File path: python/pyspark/sql/pandas/functions.py
##########
@@ -348,10 +273,21 @@ def pandas_udf(f=None, returnType=None,
functionType=None):
.. note:: The user-defined functions do not take keyword arguments on the
calling side.
.. note:: The data type of returned `pandas.Series` from the user-defined
functions should be
- matched with defined returnType (see :meth:`types.to_arrow_type` and
+ matched with defined `returnType` (see :meth:`types.to_arrow_type` and
:meth:`types.from_arrow_type`). When there is mismatch between them,
Spark might do
conversion on returned data. The conversion is not guaranteed to be
correct and results
should be checked for accuracy by users.
+
+ .. note:: Currently,
+ :class:`pyspark.sql.types.MapType`,
+ :class:`pyspark.sql.types.ArrayType` of
:class:`pyspark.sql.types.TimestampType` and
+ nested :class:`pyspark.sql.types.StructType`
+ are currently not supported as output types.
Review comment:
what about input types?
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