type frame.py & series.py

pandas/core/frame.py

@@ -2492,7 +2492,7 @@ def _from_arrays(
         index,
         dtype: Dtype | None = None,
         verify_integrity: bool = True,
-    ) -> DataFrame:
+    ) -> Self:
         """
         Create DataFrame from a list of arrays corresponding to the columns.
 
@@ -4591,7 +4591,7 @@ def eval(self, expr: str, *, inplace: bool = False, **kwargs) -> Any | None:
 
         return _eval(expr, inplace=inplace, **kwargs)
 
-    def select_dtypes(self, include=None, exclude=None) -> DataFrame:
+    def select_dtypes(self, include=None, exclude=None) -> Self:
         """
         Return a subset of the DataFrame's columns based on the column dtypes.
 

pandas/core/generic.py

@@ -3897,19 +3897,6 @@ class  max_speed
 
         nv.validate_take((), kwargs)
 
-        return self._take(indices, axis)
-
-    def _take(
-        self,
-        indices,
-        axis: Axis = 0,
-        convert_indices: bool_t = True,
-    ) -> Self:
-        """
-        Internal version of the `take` allowing specification of additional args.
-
-        See the docstring of `take` for full explanation of the parameters.
-        """
         if not isinstance(indices, slice):
             indices = np.asarray(indices, dtype=np.intp)
             if (

pandas/core/series.py

@@ -4277,7 +4277,7 @@ def map(
             self, method="map"
         )
 
-    def _gotitem(self, key, ndim, subset=None) -> Series:
+    def _gotitem(self, key, ndim, subset=None) -> Self:
         """
         Sub-classes to define. Return a sliced object.