DOC: fixing GL08 errors for pandas.Series.dt (#57751)

* fix GL08 error and write docstring for pandas.Series.dt

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* update docstring with parameters

* format docstring and remove from validate docstring ignore

* Remove parameters, returns and add reference

* remove Raises, Notes and update description

* make it pass ci checks

* update see also

* Update ci/code_checks.sh

Co-authored-by: Marc Garcia <[email protected]>

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Marc Garcia <[email protected]>

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\
@@ -437,6 +436,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.Series.cat.rename_categories\
         pandas.Series.cat.reorder_categories\
         pandas.Series.cat.set_categories\
+        pandas.Series.dt `# Accessors are implemented as classes, but we do not document the Parameters section` \
         pandas.Series.dt.as_unit\
         pandas.Series.dt.ceil\
         pandas.Series.dt.day_name\

pandas/core/indexes/accessors.py

@@ -572,6 +572,44 @@ class PeriodProperties(Properties):
 class CombinedDatetimelikeProperties(
     DatetimeProperties, TimedeltaProperties, PeriodProperties
 ):
+    """
+    Accessor object for Series values' datetime-like, timedelta and period properties.
+
+    See Also
+    --------
+    DatetimeIndex : Index of datetime64 data.
+
+    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