diff --git a/doc/source/whatsnew/v3.0.0.rst b/doc/source/whatsnew/v3.0.0.rst index de69166b8c196..03e64319ff791 100644 --- a/doc/source/whatsnew/v3.0.0.rst +++ b/doc/source/whatsnew/v3.0.0.rst @@ -649,6 +649,7 @@ Conversion - Bug in :meth:`DataFrame.update` bool dtype being converted to object (:issue:`55509`) - Bug in :meth:`Series.astype` might modify read-only array inplace when casting to a string dtype (:issue:`57212`) - Bug in :meth:`Series.reindex` not maintaining ``float32`` type when a ``reindex`` introduces a missing value (:issue:`45857`) +- Bug in :meth: 'Series.convert_dtype' strips the timezone on an already Timezone aware pyarrow timestamp dtype (:issue:'60237') Strings ^^^^^^^ diff --git a/pandas/core/dtypes/dtypes.py b/pandas/core/dtypes/dtypes.py index 96b0aa16940a6..67c09884d03dd 100644 --- a/pandas/core/dtypes/dtypes.py +++ b/pandas/core/dtypes/dtypes.py @@ -2277,18 +2277,6 @@ def name(self) -> str: # type: ignore[override] @cache_readonly def numpy_dtype(self) -> np.dtype: """Return an instance of the related numpy dtype""" - if pa.types.is_timestamp(self.pyarrow_dtype): - # pa.timestamp(unit).to_pandas_dtype() returns ns units - # regardless of the pyarrow timestamp units. - # This can be removed if/when pyarrow addresses it: - # https://github.com/apache/arrow/issues/34462 - return np.dtype(f"datetime64[{self.pyarrow_dtype.unit}]") - if pa.types.is_duration(self.pyarrow_dtype): - # pa.duration(unit).to_pandas_dtype() returns ns units - # regardless of the pyarrow duration units - # This can be removed if/when pyarrow addresses it: - # https://github.com/apache/arrow/issues/34462 - return np.dtype(f"timedelta64[{self.pyarrow_dtype.unit}]") if pa.types.is_string(self.pyarrow_dtype) or pa.types.is_large_string( self.pyarrow_dtype ): diff --git a/pandas/tests/copy_view/test_astype.py b/pandas/tests/copy_view/test_astype.py index 91f5badeb9728..b3148d129a6a7 100644 --- a/pandas/tests/copy_view/test_astype.py +++ b/pandas/tests/copy_view/test_astype.py @@ -11,6 +11,7 @@ Series, Timestamp, date_range, + to_datetime, ) import pandas._testing as tm from pandas.tests.copy_view.util import get_array @@ -236,3 +237,13 @@ def test_convert_dtypes(using_infer_string): df2.iloc[0, 0] = "x" df2.iloc[0, 1] = 10 tm.assert_frame_equal(df, df_orig) + + +def test_convert_dtypes_pyarrow_timezone(): + # GH 60237 + expected = Series( + to_datetime(range(5), utc=True, unit="h"), + dtype="timestamp[ns, tz=UTC][pyarrow]", + ) + result = expected.convert_dtypes(dtype_backend="pyarrow") + tm.assert_series_equal(result, expected)