diff --git a/doc/source/whatsnew/v2.0.3.rst b/doc/source/whatsnew/v2.0.3.rst index 5590066d9513c..153df543d8c50 100644 --- a/doc/source/whatsnew/v2.0.3.rst +++ b/doc/source/whatsnew/v2.0.3.rst @@ -27,7 +27,7 @@ Bug fixes - Bug in :func:`read_csv` when defining ``dtype`` with ``bool[pyarrow]`` for the ``"c"`` and ``"python"`` engines (:issue:`53390`) - Bug in :meth:`Series.str.split` and :meth:`Series.str.rsplit` with ``expand=True`` for :class:`ArrowDtype` with ``pyarrow.string`` (:issue:`53532`) - Bug in indexing methods (e.g. :meth:`DataFrame.__getitem__`) where taking the entire :class:`DataFrame`/:class:`Series` would raise an ``OverflowError`` when Copy on Write was enabled and the length of the array was over the maximum size a 32-bit integer can hold (:issue:`53616`) -- +- Bug when indexing a :class:`DataFrame` or :class:`Series` with an :class:`Index` with a timestamp :class:`ArrowDtype` would raise an ``AttributeError`` (:issue:`53644`) .. --------------------------------------------------------------------------- .. _whatsnew_203.other: diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py index e03c126d86aff..3657d3d71fb1a 100644 --- a/pandas/core/indexes/base.py +++ b/pandas/core/indexes/base.py @@ -6046,7 +6046,9 @@ def _get_indexer_strict(self, key, axis_name: str_t) -> tuple[Index, np.ndarray] if isinstance(key, Index): # GH 42790 - Preserve name from an Index keyarr.name = key.name - if keyarr.dtype.kind in "mM": + if lib.is_np_dtype(keyarr.dtype, "mM") or isinstance( + keyarr.dtype, DatetimeTZDtype + ): # DTI/TDI.take can infer a freq in some cases when we dont want one if isinstance(key, list) or ( isinstance(key, type(self)) diff --git a/pandas/tests/indexing/test_datetime.py b/pandas/tests/indexing/test_datetime.py index 15e1fae77d65b..6510612ba6f87 100644 --- a/pandas/tests/indexing/test_datetime.py +++ b/pandas/tests/indexing/test_datetime.py @@ -168,3 +168,21 @@ def test_getitem_str_slice_millisecond_resolution(self, frame_or_series): ], ) tm.assert_equal(result, expected) + + def test_getitem_pyarrow_index(self, frame_or_series): + # GH 53644 + pytest.importorskip("pyarrow") + obj = frame_or_series( + range(5), + index=date_range("2020", freq="D", periods=5).astype( + "timestamp[us][pyarrow]" + ), + ) + result = obj.loc[obj.index[:-3]] + expected = frame_or_series( + range(2), + index=date_range("2020", freq="D", periods=2).astype( + "timestamp[us][pyarrow]" + ), + ) + tm.assert_equal(result, expected)