DOC: fixing GL08 errors for pandas.Series.dt

ci/code_checks.sh

@@ -155,7 +155,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.Period.ordinal\
         pandas.PeriodIndex.freq\
         pandas.PeriodIndex.qyear\
-        pandas.Series.dt\
         pandas.Series.dt.as_unit\
         pandas.Series.dt.freq\
         pandas.Series.dt.qyear\

pandas/core/indexes/accessors.py

@@ -572,6 +572,57 @@ class PeriodProperties(Properties):
 class CombinedDatetimelikeProperties(
     DatetimeProperties, TimedeltaProperties, PeriodProperties
 ):
+    """
+    Combined datetime-like properties for a pandas Series.
+
+    Not meant to be instantiated directly. Instead, used to determine the appropriate
+    parent class (ArrowTemporalProperties, DatetimeProperties,TimedeltaProperties,
+    or PeriodProperties) based on the dtype of the provided pandas Series.
+
+    Raises
+    ------
+    TypeError
+        If object is not a pandas Series.
+
+    See Also
+    --------
+    Series.dt : Accessor object for datetimelike properties of the Series values.
+
+    Notes
+    -----
+    Reference :ref:`Series.dt <series.dt>`
+
+    Examples
+    --------
+    >>> dates = pd.Series(
+    ...     ["2024-01-01", "2024-01-15", "2024-02-5"], dtype="datetime64[ns]"
+    ... )
+    >>> dates.dt.day
+    0     1
+    1    15
+    2     5
+    dtype: int32
+    >>> dates.dt.month
+    0    1
+    1    1
+    2    2
+    dtype: int32
+
+    >>> dates = pd.Series(
+    ...     ["2024-01-01", "2024-01-15", "2024-02-5"], dtype="datetime64[ns, UTC]"
+    ... )
+    >>> dates.dt.day
+    0     1
+    1    15
+    2     5
+    dtype: int32
+    >>> dates.dt.month
+    0    1
+    1    1
+    2    2
+    dtype: int32
+    """
+
     def __new__(cls, data: Series):  # pyright: ignore[reportInconsistentConstructor]
         # CombinedDatetimelikeProperties isn't really instantiated. Instead
         # we need to choose which parent (datetime or timedelta) is