DEP: Enforce deprecation of names and dtype in index copy and codes and levels in midx.copy

pandas/core/indexes/base.py

@@ -50,7 +50,6 @@
     Axes,
     Axis,
     DropKeep,
-    Dtype,
     DtypeObj,
     F,
     IgnoreRaise,
@@ -1292,29 +1291,17 @@ def copy(
         self: _IndexT,
         name: Hashable | None = None,
         deep: bool = False,
-        dtype: Dtype | None = None,
-        names: Sequence[Hashable] | None = None,
     ) -> _IndexT:
         """
         Make a copy of this object.
 
-        Name and dtype sets those attributes on the new object.
+        Name is set on the new object.
 
         Parameters
         ----------
         name : Label, optional
             Set name for new object.
         deep : bool, default False
-        dtype : numpy dtype or pandas type, optional
-            Set dtype for new object.
-
-            .. deprecated:: 1.2.0
-                use ``astype`` method instead.
-        names : list-like, optional
-            Kept for compatibility with MultiIndex. Should not be used.
-
-            .. deprecated:: 1.4.0
-                use ``name`` instead.
 
         Returns
         -------
@@ -1326,29 +1313,13 @@ def copy(
         In most cases, there should be no functional difference from using
         ``deep``, but if ``deep`` is passed it will attempt to deepcopy.
         """
-        if names is not None:
-            warnings.warn(
-                "parameter names is deprecated and will be removed in a future "
-                "version. Use the name parameter instead.",
-                FutureWarning,
-                stacklevel=find_stack_level(),
-            )
 
-        name = self._validate_names(name=name, names=names, deep=deep)[0]
+        name = self._validate_names(name=name, deep=deep)[0]
         if deep:
             new_data = self._data.copy()
             new_index = type(self)._simple_new(new_data, name=name)
         else:
             new_index = self._rename(name=name)
-
-        if dtype:
-            warnings.warn(
-                "parameter dtype is deprecated and will be removed in a future "
-                "version. Use the astype method instead.",
-                FutureWarning,
-                stacklevel=find_stack_level(),
-            )
-            new_index = new_index.astype(dtype)
         return new_index
 
     @final

pandas/core/indexes/multi.py

@@ -1174,9 +1174,6 @@ def _view(self) -> MultiIndex:
     def copy(  # type: ignore[override]
         self,
         names=None,
-        dtype=None,
-        levels=None,
-        codes=None,
         deep: bool = False,
         name=None,
     ):
@@ -1187,15 +1184,6 @@ def copy(  # type: ignore[override]
         Parameters
         ----------
         names : sequence, optional
-        dtype : numpy dtype or pandas type, optional
-
-            .. deprecated:: 1.2.0
-        levels : sequence, optional
-
-            .. deprecated:: 1.2.0
-        codes : sequence, optional
-
-            .. deprecated:: 1.2.0
         deep : bool, default False
         name : Label
             Kept for compatibility with 1-dimensional Index. Should not be used.
@@ -1212,30 +1200,13 @@ def copy(  # type: ignore[override]
         """
         names = self._validate_names(name=name, names=names, deep=deep)
         keep_id = not deep
-        if levels is not None:
-            warnings.warn(
-                "parameter levels is deprecated and will be removed in a future "
-                "version. Use the set_levels method instead.",
-                FutureWarning,
-                stacklevel=find_stack_level(),
-            )
-            keep_id = False
-        if codes is not None:
-            warnings.warn(
-                "parameter codes is deprecated and will be removed in a future "
-                "version. Use the set_codes method instead.",
-                FutureWarning,
-                stacklevel=find_stack_level(),
-            )
-            keep_id = False
+        levels, codes = None, None
 
         if deep:
             from copy import deepcopy
 
-            if levels is None:
-                levels = deepcopy(self.levels)
-            if codes is None:
-                codes = deepcopy(self.codes)
+            levels = deepcopy(self.levels)
+            codes = deepcopy(self.codes)
 
         levels = levels if levels is not None else self.levels
         codes = codes if codes is not None else self.codes
@@ -1251,15 +1222,6 @@ def copy(  # type: ignore[override]
         new_index._cache.pop("levels", None)  # GH32669
         if keep_id:
             new_index._id = self._id
-
-        if dtype:
-            warnings.warn(
-                "parameter dtype is deprecated and will be removed in a future "
-                "version. Use the astype method instead.",
-                FutureWarning,
-                stacklevel=find_stack_level(),
-            )
-            new_index = new_index.astype(dtype)
         return new_index
 
     def __array__(self, dtype=None) -> np.ndarray:

pandas/core/indexes/range.py

@@ -456,24 +456,9 @@ def _view(self: RangeIndex) -> RangeIndex:
         return result
 
     @doc(Int64Index.copy)
-    def copy(
-        self,
-        name: Hashable = None,
-        deep: bool = False,
-        dtype: Dtype | None = None,
-        names=None,
-    ):
-        name = self._validate_names(name=name, names=names, deep=deep)[0]
+    def copy(self, name: Hashable = None, deep: bool = False):
+        name = self._validate_names(name=name, deep=deep)[0]
         new_index = self._rename(name=name)
-
-        if dtype:
-            warnings.warn(
-                "parameter dtype is deprecated and will be removed in a future "
-                "version. Use the astype method instead.",
-                FutureWarning,
-                stacklevel=find_stack_level(),
-            )
-            new_index = new_index.astype(dtype)
         return new_index
 
     def _minmax(self, meth: str):

pandas/tests/indexes/multi/test_copy.py

@@ -85,27 +85,6 @@ def test_copy_method_kwargs(deep, kwarg, value):
     assert getattr(idx_copy, kwarg) == value
 
 
-@pytest.mark.parametrize("deep", [True, False])
-@pytest.mark.parametrize(
-    "param_name, param_value",
-    [
-        ("levels", [["foo2", "bar2"], ["fizz2", "buzz2"]]),
-        ("codes", [[1, 0, 0, 0], [1, 1, 0, 0]]),
-    ],
-)
-def test_copy_deprecated_parameters(deep, param_name, param_value):
-    # gh-36685
-    idx = MultiIndex(
-        levels=[["foo", "bar"], ["fizz", "buzz"]],
-        codes=[[0, 0, 0, 1], [0, 0, 1, 1]],
-        names=["first", "second"],
-    )
-    with tm.assert_produces_warning(FutureWarning):
-        idx_copy = idx.copy(deep=deep, **{param_name: param_value})
-
-    assert [list(i) for i in getattr(idx_copy, param_name)] == param_value
-
-
 def test_copy_deep_false_retains_id():
     # GH#47878
     idx = MultiIndex(

pandas/tests/indexes/test_any_index.py

@@ -32,12 +32,6 @@ def test_hash_error(index):
         hash(index)
 
 
-def test_copy_dtype_deprecated(index):
-    # GH#35853
-    with tm.assert_produces_warning(FutureWarning):
-        index.copy(dtype=object)
-
-
 def test_mutability(index):
     if not len(index):
         return

pandas/tests/indexes/test_base.py

@@ -1305,19 +1305,6 @@ def test_copy_name2(self):
         assert index.name == "MyName"
         assert index2.name == "NewName"
 
-        with tm.assert_produces_warning(FutureWarning):
-            index3 = index.copy(names=["NewName"])
-        tm.assert_index_equal(index, index3, check_names=False)
-        assert index.name == "MyName"
-        assert index.names == ["MyName"]
-        assert index3.name == "NewName"
-        assert index3.names == ["NewName"]
-
-    def test_copy_names_deprecated(self, simple_index):
-        # GH44916
-        with tm.assert_produces_warning(FutureWarning):
-            simple_index.copy(names=["a"])
-
     def test_unique_na(self):
         idx = Index([2, np.nan, 2, 1], name="my_index")
         expected = Index([2, np.nan, 1], name="my_index")