diff --git a/pandas-stubs/api/interchange/__init__.pyi b/pandas-stubs/api/interchange/__init__.pyi
index 147ebac46..19592c366 100644
--- a/pandas-stubs/api/interchange/__init__.pyi
+++ b/pandas-stubs/api/interchange/__init__.pyi
@@ -1,2 +1 @@
-from pandas.core.interchange.dataframe_protocol import DataFrame as DataFrame
 from pandas.core.interchange.from_dataframe import from_dataframe as from_dataframe
diff --git a/pandas-stubs/core/frame.pyi b/pandas-stubs/core/frame.pyi
index 93af6f79d..a3d6f70ab 100644
--- a/pandas-stubs/core/frame.pyi
+++ b/pandas-stubs/core/frame.pyi
@@ -54,7 +54,6 @@ from pandas.core.indexing import (
     _IndexSliceTuple,
     _LocIndexer,
 )
-from pandas.core.interchange.dataframe_protocol import DataFrame as DataFrameXchg
 from pandas.core.reshape.pivot import (
     _PivotTableColumnsTypes,
     _PivotTableIndexTypes,
@@ -382,11 +381,11 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
             | dict[Any, Any]
             | Iterable[ListLikeU | tuple[Hashable, ListLikeU] | dict[Any, Any]]
             | None
-        ) = ...,
-        index: Axes | None = ...,
-        columns: Axes | None = ...,
-        dtype=...,
-        copy: _bool = ...,
+        ) = None,
+        index: Axes | None = None,
+        columns: Axes | None = None,
+        dtype: Dtype | None = None,
+        copy: _bool | None = None,
     ) -> Self: ...
     @overload
     def __new__(
@@ -394,12 +393,9 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         data: Scalar,
         index: Axes,
         columns: Axes,
-        dtype=...,
-        copy: _bool = ...,
+        dtype: Dtype | None = None,
+        copy: _bool | None = None,
     ) -> Self: ...
-    def __dataframe__(
-        self, nan_as_null: bool = ..., allow_copy: bool = ...
-    ) -> DataFrameXchg: ...
     def __arrow_c_stream__(self, requested_schema: object | None = None) -> object: ...
     @property
     def axes(self) -> list[Index]: ...
@@ -1852,7 +1848,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     @final
     def asfreq(
         self,
-        freq,
+        freq: Frequency,
         method: FillnaOptions | None = None,
         how: Literal["start", "end"] | None = ...,
         normalize: _bool = False,
@@ -2069,8 +2065,6 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         axis: Axis | None = None,
     ) -> Self: ...
     @final
-    def first(self, offset) -> Self: ...
-    @final
     def first_valid_index(self) -> Scalar: ...
     def floordiv(
         self,
@@ -2133,8 +2127,6 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         **kwargs: Any,
     ) -> Series: ...
     @final
-    def last(self, offset) -> Self: ...
-    @final
     def last_valid_index(self) -> Scalar: ...
     def le(self, other, axis: Axis = "columns", level: Level | None = ...) -> Self: ...
     def lt(self, other, axis: Axis = "columns", level: Level | None = ...) -> Self: ...
@@ -2605,7 +2597,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
             | Callable[[DataFrame], DataFrame]
             | Callable[[Any], _bool]
         ),
-        other=...,
+        other: Scalar | Self | Callable[..., Scalar | Self] = ...,
         *,
         inplace: Literal[True],
         axis: Axis | None = ...,
@@ -2621,7 +2613,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
             | Callable[[DataFrame], DataFrame]
             | Callable[[Any], _bool]
         ),
-        other=...,
+        other: Scalar | Self | Callable[..., Scalar | Self] = ...,
         *,
         inplace: Literal[False] = False,
         axis: Axis | None = ...,
diff --git a/pandas-stubs/core/interchange/dataframe_protocol.pyi b/pandas-stubs/core/interchange/dataframe_protocol.pyi
deleted file mode 100644
index 94595ea1f..000000000
--- a/pandas-stubs/core/interchange/dataframe_protocol.pyi
+++ /dev/null
@@ -1,124 +0,0 @@
-import abc
-from abc import (
-    ABC,
-    abstractmethod,
-)
-from collections.abc import (
-    Iterable,
-    Sequence,
-)
-import enum
-from typing import (
-    Any,
-    TypedDict,
-    cast,
-)
-
-from typing_extensions import Self
-
-class DlpackDeviceType(enum.IntEnum):
-    CPU = cast(int, ...)
-    CUDA = cast(int, ...)
-    CPU_PINNED = cast(int, ...)
-    OPENCL = cast(int, ...)
-    VULKAN = cast(int, ...)
-    METAL = cast(int, ...)
-    VPI = cast(int, ...)
-    ROCM = cast(int, ...)
-
-class DtypeKind(enum.IntEnum):
-    INT = cast(int, ...)
-    UINT = cast(int, ...)
-    FLOAT = cast(int, ...)
-    BOOL = cast(int, ...)
-    STRING = cast(int, ...)
-    DATETIME = cast(int, ...)
-    CATEGORICAL = cast(int, ...)
-
-class ColumnNullType(enum.IntEnum):
-    NON_NULLABLE = cast(int, ...)
-    USE_NAN = cast(int, ...)
-    USE_SENTINEL = cast(int, ...)
-    USE_BITMASK = cast(int, ...)
-    USE_BYTEMASK = cast(int, ...)
-
-class ColumnBuffers(TypedDict):
-    data: tuple[Buffer, Any]
-    validity: tuple[Buffer, Any] | None
-    offsets: tuple[Buffer, Any] | None
-
-class CategoricalDescription(TypedDict):
-    is_ordered: bool
-    is_dictionary: bool
-    categories: Column | None
-
-class Buffer(ABC, metaclass=abc.ABCMeta):
-    @property
-    @abstractmethod
-    def bufsize(self) -> int: ...
-    @property
-    @abstractmethod
-    def ptr(self) -> int: ...
-    @abstractmethod
-    def __dlpack__(self) -> Any: ...
-    @abstractmethod
-    def __dlpack_device__(self) -> tuple[DlpackDeviceType, int | None]: ...
-
-class Column(ABC, metaclass=abc.ABCMeta):
-    @property
-    @abstractmethod
-    def size(self) -> int: ...
-    @property
-    @abstractmethod
-    def offset(self) -> int: ...
-    @property
-    @abstractmethod
-    def dtype(self) -> tuple[DtypeKind, int, str, str]: ...
-    @property
-    @abstractmethod
-    def describe_categorical(self) -> CategoricalDescription: ...
-    @property
-    @abstractmethod
-    def describe_null(self) -> tuple[ColumnNullType, Any]: ...
-    @property
-    @abstractmethod
-    def null_count(self) -> int | None: ...
-    @property
-    @abstractmethod
-    def metadata(self) -> dict[str, Any]: ...
-    @abstractmethod
-    def num_chunks(self) -> int: ...
-    @abstractmethod
-    def get_chunks(self, n_chunks: int | None = ...) -> Iterable[Column]: ...
-    @abstractmethod
-    def get_buffers(self) -> ColumnBuffers: ...
-
-class DataFrame(ABC, metaclass=abc.ABCMeta):
-    version: int
-    @abstractmethod
-    def __dataframe__(
-        self, nan_as_null: bool = ..., allow_copy: bool = ...
-    ) -> Self: ...
-    @property
-    @abstractmethod
-    def metadata(self) -> dict[str, Any]: ...
-    @abstractmethod
-    def num_columns(self) -> int: ...
-    @abstractmethod
-    def num_rows(self) -> int | None: ...
-    @abstractmethod
-    def num_chunks(self) -> int: ...
-    @abstractmethod
-    def column_names(self) -> Iterable[str]: ...
-    @abstractmethod
-    def get_column(self, i: int) -> Column: ...
-    @abstractmethod
-    def get_column_by_name(self, name: str) -> Column: ...
-    @abstractmethod
-    def get_columns(self) -> Iterable[Column]: ...
-    @abstractmethod
-    def select_columns(self, indices: Sequence[int]) -> DataFrame: ...
-    @abstractmethod
-    def select_columns_by_name(self, names: Sequence[str]) -> DataFrame: ...
-    @abstractmethod
-    def get_chunks(self, n_chunks: int | None = ...) -> Iterable[DataFrame]: ...