Yicong-Huang commented on code in PR #53992:
URL: https://github.com/apache/spark/pull/53992#discussion_r2752556415
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python/pyspark/sql/pandas/serializers.py:
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@@ -409,21 +414,21 @@ def arrow_to_pandas(
ndarray_as_list=ndarray_as_list,
)
- def _create_array(self, series, arrow_type, spark_type=None,
arrow_cast=False):
+ def _create_array(self, series, spark_type, *, arrow_cast=False,
prefers_large_types=False):
"""
- Create an Arrow Array from the given pandas.Series and optional type.
+ Create an Arrow Array from the given pandas.Series and Spark type.
Parameters
----------
series : pandas.Series
A single series
- arrow_type : pyarrow.DataType, optional
- If None, pyarrow's inferred type will be used
spark_type : DataType, optional
- If None, spark type converted from arrow_type will be used
- arrow_cast: bool, optional
+ The Spark type to use. If None, pyarrow's inferred type will be
used.
Review Comment:
If so, maybe we can do it after this PR, and then change the optional spark
type to be required?
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