GH ref

Author: jbrockmendel

doc/source/whatsnew/v3.0.0.rst

@@ -706,8 +706,8 @@ Datetimelike
 - Bug in :meth:`to_datetime` reports incorrect index in case of any failure scenario. (:issue:`58298`)
 - Bug in :meth:`to_datetime` with ``format="ISO8601"`` and ``utc=True`` where naive timestamps incorrectly inherited timezone offset from previous timestamps in a series. (:issue:`61389`)
 - Bug in :meth:`to_datetime` wrongly converts when ``arg`` is a ``np.datetime64`` object with unit of ``ps``. (:issue:`60341`)
+- Bug in constructing arrays with :class:`ArrowDtype` with ``timestamp`` type incorrectly allowing ``Decimal("NaN")`` (:issue:`61773`)
 - Bug in setting scalar values with mismatched resolution into arrays with non-nanosecond ``datetime64``, ``timedelta64`` or :class:`DatetimeTZDtype` incorrectly truncating those scalars (:issue:`56410`)
-- Bug in constructing arrays with :class:`ArrowDtype` with ``timestamp`` type incorrectly allowing ``Decimal("NaN")`` (:issue:`??`)
 -
 
 Timedelta

pandas/tests/extension/test_arrow.py

@@ -3547,8 +3547,8 @@ def test_arrow_json_type():
 
 
 def test_timestamp_dtype_disallows_decimal():
-    # constructing with pyarrow timestamp dtype should disallow Decimal NaN,
-    # just like pd.to_datetime
+    # GH#61773 constructing with pyarrow timestamp dtype should disallow
+    #  Decimal NaN, just like pd.to_datetime
     vals = [pd.Timestamp("2016-01-02 03:04:05"), Decimal("NaN")]
 
     msg = "<class 'decimal.Decimal'> is not convertible to datetime"

pandas/tests/io/test_sql.py

@@ -1041,6 +1041,7 @@ def test_dataframe_to_sql_arrow_dtypes_missing(conn, request, nulls_fixture):
     pytest.importorskip("pyarrow")
     if isinstance(nulls_fixture, Decimal):
         pytest.skip(
+            # GH#61773
             reason="Decimal('NaN') not supported in constructor for timestamp dtype"
         )