revert all dt related changes

Author: saldanhad

doc/source/reference/series.rst

@@ -49,7 +49,6 @@ Conversion
    Series.copy
    Series.to_numpy
    Series.to_period
-   Series.to_timestamp
    Series.to_list
    Series.__array__
 

doc/source/whatsnew/v3.0.0.rst

@@ -58,7 +58,6 @@ Other enhancements
 - :meth:`pandas.concat` will raise a ``ValueError`` when ``ignore_index=True`` and ``keys`` is not ``None`` (:issue:`59274`)
 - :meth:`str.get_dummies` now accepts a  ``dtype`` parameter to specify the dtype of the resulting DataFrame (:issue:`47872`)
 - Multiplying two :class:`DateOffset` objects will now raise a ``TypeError`` instead of a ``RecursionError`` (:issue:`59442`)
-- Refactored :meth:`_create_delegator_method` under core/accessor.py using ``functools``, improving code clarity and maintainability. (:issue:`59783`)
 - Restore support for reading Stata 104-format and enable reading 103-format dta files (:issue:`58554`)
 - Support passing a :class:`Iterable[Hashable]` input to :meth:`DataFrame.drop_duplicates` (:issue:`59237`)
 - Support reading Stata 102-format (Stata 1) dta files (:issue:`58978`)

pandas/core/arrays/categorical.py

@@ -1377,8 +1377,8 @@ def remove_categories(self, removals) -> Self:
         """
         Remove the specified categories.
 
-        ``removals`` must be included in the old categories,
-        values which were in the removed categories will be set to NaN
+        The ``removals`` argument must be a subset of the current categories.
+        Any values that were part of the removed categories will be set to NaN.
 
         Parameters
         ----------

pandas/core/arrays/datetimes.py

@@ -261,7 +261,6 @@ def _scalar_type(self) -> type[Timestamp]:
     )
     _datetimelike_methods: list[str] = [
         "to_period",
-        "to_timestamp",
         "tz_localize",
         "tz_convert",
         "normalize",
@@ -1268,50 +1267,6 @@ def to_period(self, freq=None) -> PeriodArray:
             freq = res
         return PeriodArray._from_datetime64(self._ndarray, freq, tz=self.tz)
 
-    def to_timestamp(self):
-        """
-        Convert ``Series`` of ``Periods`` to ``DatetimeIndex/Array``.
-
-        This method converts a Series of Periods to a ``DatetimeIndex/Array``.
-        The ``freq`` and ``how`` parameters cannot be used when calling
-        ``to_timestamp`` the ``.dt`` accessor.
-
-        Returns
-        -------
-        DatetimeArray/Index
-            A `DatetimeArray` or `DatetimeIndex` object representing the period
-            converted to a timestamp.
-
-        See Also
-        --------
-        PeriodIndex.day : The days of the period.
-        PeriodIndex.from_fields : Construct a PeriodIndex from fields
-            (year, month, day, etc.).
-        PeriodIndex.from_ordinals : Construct a PeriodIndex from ordinals.
-        PeriodIndex.hour : The hour of the period.
-        PeriodIndex.minute : The minute of the period.
-        PeriodIndex.month : The month as January=1, December=12.
-        PeriodIndex.second : The second of the period.
-        PeriodIndex.year : The year of the period.
-
-        Examples
-        --------
-        >>> s = pd.Series(pd.period_range("2023-01", periods=3, freq="M"))
-        >>> s
-        0    2023-01
-        1    2023-02
-        2    2023-03
-        dtype: period[M]
-        >>> s.dt.to_timestamp()
-        0   2023-01-01
-        1   2023-02-01
-        2   2023-03-01
-        dtype: datetime64[ns]
-        """
-        # Uses to_timestamp method defined in PeriodArray Class()
-        # function here only used to update docstring
-        return
-
     # -----------------------------------------------------------------
     # Properties - Vectorized Timestamp Properties/Methods
 

pandas/tests/series/accessors/test_cat_accessor.py

@@ -177,7 +177,7 @@ def test_dt_accessor_api_for_categorical(self, idx):
 
         _special_func_names = [f[0] for f in special_func_defs]
 
-        _ignore_names = ["components", "to_timestamp", "tz_localize", "tz_convert"]
+        _ignore_names = ["components", "tz_localize", "tz_convert"]
 
         func_names = [
             fname

pandas/tests/series/accessors/test_dt_accessor.py

@@ -45,7 +45,6 @@
 ok_for_dt = DatetimeArray._datetimelike_ops
 ok_for_dt_methods = [
     "to_period",
-    "to_timestamp",
     "to_pydatetime",
     "tz_localize",
     "tz_convert",