DEPR: 1.x deprecation cleanups

pandas/core/arrays/sparse/array.py

@@ -299,12 +299,6 @@ class SparseArray(OpsMixin, PandasObject, ExtensionArray):
         A dense array of values to store in the SparseArray. This may contain
         `fill_value`.
     sparse_index : SparseIndex, optional
-    index : Index
-
-        .. deprecated:: 1.4.0
-            Use a function like `np.full` to construct an array with the desired
-            repeats of the scalar value instead.
-
     fill_value : scalar, optional
         Elements in data that are ``fill_value`` are not stored in the
         SparseArray. For memory savings, this should be the most common value

pandas/core/generic.py

@@ -1758,9 +1758,6 @@ def _get_label_or_level_values(self, key: Level, axis: AxisInt = 0) -> ArrayLike
             if `key` matches neither a label nor a level
         ValueError
             if `key` matches multiple labels
-        FutureWarning
-            if `key` is ambiguous. This will become an ambiguity error in a
-            future version
         """
         axis = self._get_axis_number(axis)
         other_axes = [ax for ax in range(self._AXIS_LEN) if ax != axis]
@@ -6035,11 +6032,11 @@ def astype(
 
         Notes
         -----
-        .. deprecated:: 1.3.0
+        .. versionchanged:: 2.0.0
 
             Using ``astype`` to convert from timezone-naive dtype to
-            timezone-aware dtype is deprecated and will raise in a
-            future version.  Use :meth:`Series.dt.tz_localize` instead.
+            timezone-aware dtype will raise an exception.
+            Use :meth:`Series.dt.tz_localize` instead.
 
         Examples
         --------

pandas/core/indexes/interval.py

@@ -612,19 +612,13 @@ def _searchsorted_monotonic(self, label, side: Literal["left", "right"] = "left"
     # --------------------------------------------------------------------
     # Indexing Methods
 
-    def get_loc(
-        self, key, method: str | None = None, tolerance=None
-    ) -> int | slice | np.ndarray:
+    def get_loc(self, key) -> int | slice | np.ndarray:
         """
         Get integer location, slice or boolean mask for requested label.
 
         Parameters
         ----------
         key : label
-        method : {None}, optional
-            * default: matches where the label is within an interval only.
-
-            .. deprecated:: 1.4
 
         Returns
         -------
@@ -655,7 +649,6 @@ def get_loc(
         >>> index.get_loc(pd.Interval(0, 1))
         0
         """
-        self._check_indexing_method(method)
         self._check_indexing_error(key)
 
         if isinstance(key, Interval):

pandas/core/indexing.py

@@ -2043,8 +2043,6 @@ def _setitem_single_block(self, indexer, value, name: str) -> None:
                 if len(item_labels.get_indexer_for([col])) == 1:
                     # e.g. test_loc_setitem_empty_append_expands_rows
                     loc = item_labels.get_loc(col)
-                    # Go through _setitem_single_column to get
-                    #  FutureWarning if relevant.
                     self._setitem_single_column(loc, value, indexer[0])
                     return
 

pandas/core/tools/timedeltas.py

@@ -97,9 +97,9 @@ def to_timedelta(
     arg : str, timedelta, list-like or Series
         The data to be converted to timedelta.
 
-        .. deprecated:: 1.2
+        .. versionchanged:: 2.0
             Strings with units 'M', 'Y' and 'y' do not represent
-            unambiguous timedelta values and will be removed in a future version
+            unambiguous timedelta values and will raise an exception.
 
     unit : str, optional
         Denotes the unit of the arg for numeric `arg`. Defaults to ``"ns"``.