Write test

Author: Aloqeely

doc/source/whatsnew/v3.0.0.rst

@@ -496,11 +496,11 @@ Datetimelike
 - Bug in :func:`date_range` where the last valid timestamp would sometimes not be produced (:issue:`56134`)
 - Bug in :func:`date_range` where using a negative frequency value would not include all points between the start and end values (:issue:`56382`)
 - Bug in :func:`tseries.api.guess_datetime_format` would fail to infer time format when "%Y" == "%H%M" (:issue:`57452`)
-- Bug in :math:`Series.dt.microsecond` producing incorrect results for pyarrow backed :class:`Series`. (:issue:`59154`)
 - Bug in :meth:`Dataframe.agg` with df with missing values resulting in IndexError (:issue:`58810`)
 - Bug in :meth:`DatetimeIndex.is_year_start` and :meth:`DatetimeIndex.is_quarter_start` does not raise on Custom business days frequencies bigger then "1C" (:issue:`58664`)
 - Bug in :meth:`DatetimeIndex.is_year_start` and :meth:`DatetimeIndex.is_quarter_start` returning ``False`` on double-digit frequencies (:issue:`58523`)
 - Bug in :meth:`DatetimeIndex.union` when ``unit`` was non-nanosecond (:issue:`59036`)
+- Bug in :meth:`Series.dt.microsecond` producing incorrect results for pyarrow backed :class:`Series`. (:issue:`59154`)
 - Bug in setting scalar values with mismatched resolution into arrays with non-nanosecond ``datetime64``, ``timedelta64`` or :class:`DatetimeTZDtype` incorrectly truncating those scalars (:issue:`56410`)
 
 Timedelta

pandas/tests/extension/test_arrow.py

@@ -2473,6 +2473,28 @@ def test_dt_properties(prop, expected):
     tm.assert_series_equal(result, expected)
 
 
+@pytest.mark.parametrize("microsecond", [2000, 5, 0])
+def test_dt_microsecond(microsecond):
+    # GH 59183
+    ser = pd.Series(
+        [
+            pd.Timestamp(
+                year=2024,
+                month=7,
+                day=7,
+                second=5,
+                microsecond=microsecond,
+                nanosecond=6,
+            ),
+            None,
+        ],
+        dtype=ArrowDtype(pa.timestamp("ns")),
+    )
+    result = ser.dt.microsecond
+    expected = pd.Series([microsecond, None], dtype="int64[pyarrow]")
+    tm.assert_series_equal(result, expected)
+
+
 def test_dt_is_month_start_end():
     ser = pd.Series(
         [