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

Author: phofl

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 :func:`to_timedelta` was raising ``ValueError`` with ``pandas.NA`` (:issue:`52909`)
 - Bug in :meth:`DataFrame.__getitem__` not preserving dtypes for :class:`MultiIndex` partial keys (:issue:`51895`)
@@ -38,7 +39,6 @@ Bug fixes
 - Bug in :meth:`Series.rename` not making a lazy copy when Copy-on-Write is enabled when a scalar is passed to it (:issue:`52450`)
 - Bug in :meth:`pd.array` raising for ``NumPy`` array and ``pa.large_string`` or ``pa.large_binary`` (:issue:`52590`)
 
-
 .. ---------------------------------------------------------------------------
 .. _whatsnew_202.other:
 

pandas/io/parsers/base_parser.py

@@ -1137,6 +1137,9 @@ 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

@@ -2217,3 +2217,23 @@ 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)