ENH: expose to_pandas_kwargs in read_parquet with pyarrow backend

doc/source/whatsnew/v2.3.0.rst

@@ -127,7 +127,7 @@ MultiIndex
 
 I/O
 ^^^
--
+- ``pyarrow`` engine for :func:`read_parquet` accepts ``to_pandas_kwargs`` which are forwarded to :meth:`pyarrow.Table.to_pandas`. This enables passing in ``maps_as_pydicts`` to read parquet map datatypes as python dictionaries. (:issue:`56842`)
 -
 
 Period

pandas/io/parquet.py

@@ -245,18 +245,19 @@ 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
 
-        to_pandas_kwargs = {}
+        to_pandas_kwargs = {} if to_pandas_kwargs is None else to_pandas_kwargs
         if dtype_backend == "numpy_nullable":
             from pandas.io._util import _arrow_dtype_mapping
 
             mapping = _arrow_dtype_mapping()
             to_pandas_kwargs["types_mapper"] = mapping.get
         elif dtype_backend == "pyarrow":
-            to_pandas_kwargs["types_mapper"] = pd.ArrowDtype  # type: ignore[assignment]
+            to_pandas_kwargs["types_mapper"] = pd.ArrowDtype
         elif using_string_dtype():
             to_pandas_kwargs["types_mapper"] = arrow_string_types_mapper()
 

pandas/tests/io/test_parquet.py

@@ -1173,6 +1173,20 @@ def test_non_nanosecond_timestamps(self, temp_file):
         )
         tm.assert_frame_equal(result, expected)
 
+    def test_maps_as_pydicts(self, pa):
+        pyarrow = pytest.importorskip("pyarrow", "13.0.0")
+
+        schema = pyarrow.schema(
+            [("foo", pyarrow.map_(pyarrow.string(), pyarrow.int64()))]
+        )
+        df = pd.DataFrame([{"foo": {"A": 1}}, {"foo": {"B": 2}}])
+        check_round_trip(
+            df,
+            pa,
+            write_kwargs={"schema": schema},
+            read_kwargs={"to_pandas_kwargs": {"maps_as_pydicts": "strict"}},
+        )
+
 
 class TestParquetFastParquet(Base):
     @pytest.mark.xfail(reason="datetime_with_nat gets incorrect values")