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Fix: Add to_pandas_kwargs to read_parquet for PyArrow engine #58981

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Fix: Add to_pandas_kwargs to read_parquet for PyArrow engine #58981

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10 changes: 9 additions & 1 deletion pandas/io/parquet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -245,6 +245,7 @@ def read(
dtype_backend: DtypeBackend | lib.NoDefault = lib.no_default,
storage_options: StorageOptions | None = None,
filesystem=None,
to_pandas_kwargs: dict[str, Any] | None = None,
**kwargs,
) -> DataFrame:
kwargs["use_pandas_metadata"] = True
Expand Down Expand Up @@ -280,7 +281,7 @@ def read(
"make_block is deprecated",
DeprecationWarning,
)
result = pa_table.to_pandas(**to_pandas_kwargs)
result = pa_table.to_pandas(**(to_pandas_kwargs or {}))

if pa_table.schema.metadata:
if b"PANDAS_ATTRS" in pa_table.schema.metadata:
Expand Down Expand Up @@ -505,6 +506,7 @@ def read_parquet(
dtype_backend: DtypeBackend | lib.NoDefault = lib.no_default,
filesystem: Any = None,
filters: list[tuple] | list[list[tuple]] | None = None,
to_pandas_kwargs: dict[str, Any] | None = None,
**kwargs,
) -> DataFrame:
"""
Expand Down Expand Up @@ -540,6 +542,11 @@ def read_parquet(
If not None, only these columns will be read from the file.
{storage_options}

to_pandas_kwargs : dict, default None
Additional keyword arguments passed to :meth:`pyarrow.Table.to_pandas`
to control how the pyarrow Table is converted to a pandas DataFrame.
This is only used when `engine="pyarrow"`.

.. versionadded:: 1.3.0

dtype_backend : {{'numpy_nullable', 'pyarrow'}}, default 'numpy_nullable'
Expand Down Expand Up @@ -649,5 +656,6 @@ def read_parquet(
storage_options=storage_options,
dtype_backend=dtype_backend,
filesystem=filesystem,
to_pandas_kwargs=to_pandas_kwargs,
**kwargs,
)
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