kosiew commented on code in PR #1287:
URL:
https://github.com/apache/datafusion-python/pull/1287#discussion_r2454625911
##########
python/datafusion/user_defined.py:
##########
@@ -164,10 +270,13 @@ def udf(*args: Any, **kwargs: Any): # noqa: D417
backed ScalarUDF within a PyCapsule, you can pass this
parameter
and ignore the rest. They will be determined directly from the
underlying function. See the online documentation for more
information.
- input_types (list[pa.DataType]): The data types of the arguments
- to ``func``. This list must be of the same length as the
number of
- arguments.
- return_type (_R): The data type of the return value from the
function.
+ The callable should accept and return :class:`pyarrow.Array` or
+ :class:`pyarrow.ChunkedArray` values.
+ input_types (list[pa.DataType | pa.Field]): The argument types for
``func``.
+ This list must be of the same length as the number of
arguments. Pass
+ :class:`pyarrow.Field` instances to preserve extension
metadata.
+ return_type (pa.DataType | pa.Field): The return type of the
function. Use a
+ :class:`pyarrow.Field` to preserve metadata on extension
arrays.
Review Comment:
Amended.
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