Backport PR #53295 on branch 2.0.x (BUG: read_csv raising for arrow e…

…ngine and parse_dates) (#53317)

BUG: read_csv raising for arrow engine and parse_dates (#53295)

(cherry picked from commit aaf5037)

doc/source/whatsnew/v2.0.2.rst

@@ -29,6 +29,7 @@ Bug fixes
 - Bug in :func:`api.interchange.from_dataframe` was returning :class:`DataFrame`'s of incorrect sizes when called on slices (:issue:`52824`)
 - Bug in :func:`api.interchange.from_dataframe` was unnecessarily raising on bitmasks (:issue:`49888`)
 - Bug in :func:`merge` when merging on datetime columns on different resolutions (:issue:`53200`)
+- Bug in :func:`read_csv` raising ``OverflowError`` for ``engine="pyarrow"`` and ``parse_dates`` set (:issue:`53295`)
 - Bug in :func:`to_datetime` was inferring format to contain ``"%H"`` instead of ``"%I"`` if date contained "AM" / "PM" tokens (:issue:`53147`)
 - Bug in :meth:`DataFrame.convert_dtypes` ignores ``convert_*`` keywords when set to False ``dtype_backend="pyarrow"`` (:issue:`52872`)
 - Bug in :meth:`DataFrame.sort_values` raising for PyArrow ``dictionary`` dtype (:issue:`53232`)
@@ -37,7 +38,6 @@ Bug fixes
 - Bug in :meth:`pd.array` raising for ``NumPy`` array and ``pa.large_string`` or ``pa.large_binary`` (:issue:`52590`)
 - Bug in :meth:`DataFrame.__getitem__` not preserving dtypes for :class:`MultiIndex` partial keys (:issue:`51895`)
 -
-
 .. ---------------------------------------------------------------------------
 .. _whatsnew_202.other:
 

pandas/io/parsers/base_parser.py

@@ -1120,6 +1120,9 @@ def unpack_if_single_element(arg):
         return arg
 
     def converter(*date_cols, col: Hashable):
+        if len(date_cols) == 1 and date_cols[0].dtype.kind in "Mm":
+            return date_cols[0]
+
         if date_parser is lib.no_default:
             strs = parsing.concat_date_cols(date_cols)
             date_fmt = (

pandas/tests/io/parser/test_parse_dates.py

@@ -2218,3 +2218,23 @@ def test_parse_dates_dict_format_index(all_parsers):
         index=Index([Timestamp("2019-12-31"), Timestamp("2020-12-31")], name="a"),
     )
     tm.assert_frame_equal(result, expected)
+
+
+def test_parse_dates_arrow_engine(all_parsers):
+    # GH#53295
+    parser = all_parsers
+    data = """a,b
+2000-01-01 00:00:00,1
+2000-01-01 00:00:01,1"""
+
+    result = parser.read_csv(StringIO(data), parse_dates=["a"])
+    expected = DataFrame(
+        {
+            "a": [
+                Timestamp("2000-01-01 00:00:00"),
+                Timestamp("2000-01-01 00:00:01"),
+            ],
+            "b": 1,
+        }
+    )
+    tm.assert_frame_equal(result, expected)