Added type hints to Index.repeat, Index.argmin and Index.argmax

Author: mecopur

pandas/core/indexes/base.py

@@ -49,6 +49,7 @@
     ArrayLike,
     Axes,
     Axis,
+    AxisInt,
     DropKeep,
     DtypeObj,
     F,
@@ -1205,7 +1206,7 @@ def _maybe_disallow_fill(self, allow_fill: bool, fill_value, indices) -> bool:
         """
 
     @Appender(_index_shared_docs["repeat"] % _index_doc_kwargs)
-    def repeat(self, repeats, axis=None):
+    def repeat(self, repeats, axis: AxisInt | None = None):
         repeats = ensure_platform_int(repeats)
         nv.validate_repeat((), {"axis": axis})
         res_values = self._values.repeat(repeats)
@@ -7272,7 +7273,9 @@ def _maybe_disable_logical_methods(self, opname: str_t) -> None:
             make_invalid_op(opname)(self)
 
     @Appender(IndexOpsMixin.argmin.__doc__)
-    def argmin(self, axis=None, skipna: bool = True, *args, **kwargs) -> int:
+    def argmin(
+        self, axis: AxisInt | None = None, skipna: bool = True, *args, **kwargs
+    ) -> int:
         nv.validate_argmin(args, kwargs)
         nv.validate_minmax_axis(axis)
 
@@ -7291,7 +7294,9 @@ def argmin(self, axis=None, skipna: bool = True, *args, **kwargs) -> int:
         return super().argmin(skipna=skipna)
 
     @Appender(IndexOpsMixin.argmax.__doc__)
-    def argmax(self, axis=None, skipna: bool = True, *args, **kwargs) -> int:
+    def argmax(
+        self, axis: AxisInt | None = None, skipna: bool = True, *args, **kwargs
+    ) -> int:
         nv.validate_argmax(args, kwargs)
         nv.validate_minmax_axis(axis)