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1 change: 1 addition & 0 deletions doc/source/whatsnew/v1.2.0.rst
Original file line number Diff line number Diff line change
Expand Up @@ -747,6 +747,7 @@ I/O
- :meth:`DataFrame.to_html` was ignoring ``formatters`` argument for ``ExtensionDtype`` columns (:issue:`36525`)
- Bumped minimum xarray version to 0.12.3 to avoid reference to the removed ``Panel`` class (:issue:`27101`)
- :meth:`DataFrame.to_csv` was re-opening file-like handles that also implement ``os.PathLike`` (:issue:`38125`)
- Bug in the conversion of a sliced ``pyarrow.Table`` with missing values to a DataFrame (:issue:`38525`)

Period
^^^^^^
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2 changes: 1 addition & 1 deletion pandas/core/arrays/_arrow_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,7 @@ def pyarrow_array_to_numpy_and_mask(arr, dtype):
bitmask = buflist[0]
if bitmask is not None:
mask = pyarrow.BooleanArray.from_buffers(
pyarrow.bool_(), len(arr), [None, bitmask]
pyarrow.bool_(), len(arr), [None, bitmask], offset=arr.offset
)
mask = np.asarray(mask)
else:
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12 changes: 12 additions & 0 deletions pandas/tests/arrays/masked/test_arrow_compat.py
Original file line number Diff line number Diff line change
Expand Up @@ -52,3 +52,15 @@ def test_arrow_from_arrow_uint():
expected = pd.array([1, 2, 3, 4, None], dtype="UInt32")

tm.assert_extension_array_equal(result, expected)


@td.skip_if_no("pyarrow", min_version="0.16.0")
def test_arrow_sliced():
# https://github.com/pandas-dev/pandas/issues/38525
import pyarrow as pa

df = pd.DataFrame({"a": pd.array([0, None, 2, 3, None], dtype="Int64")})
table = pa.table(df)
result = table.slice(2, None).to_pandas()
expected = df.iloc[2:].reset_index(drop=True)
tm.assert_frame_equal(result, expected)