Move ignore comments

pandas/core/apply.py

@@ -1010,8 +1010,8 @@ def wrapper(*args, **kwargs):
             # [..., Any] | str] | dict[Hashable,Callable[..., Any] | str |
             # list[Callable[..., Any] | str]]"; expected "Hashable"
             nb_looper = generate_apply_looper(
-                self.func,
-                **engine_kwargs,  # type: ignore[arg-type]
+                self.func,  # type: ignore[arg-type]
+                **engine_kwargs,
             )
             result = nb_looper(self.values, self.axis)
             # If we made the result 2-D, squeeze it back to 1-D

pandas/core/arrays/_mixins.py

@@ -344,8 +344,8 @@ def fillna(
         # "ExtensionArray"; expected "ndarray"
         value = missing.check_value_size(
             value,
-            mask,
-            len(self),  # type: ignore[arg-type]
+            mask,  # type: ignore[arg-type]
+            len(self),
         )
 
         if mask.any():

pandas/core/arrays/arrow/array.py

@@ -2696,8 +2696,8 @@ def _dt_tz_localize(
             "shift_backward": "earliest",
             "shift_forward": "latest",
         }.get(
-            nonexistent,
-            None,  # type: ignore[arg-type]
+            nonexistent,  # type: ignore[arg-type]
+            None,
         )
         if nonexistent_pa is None:
             raise NotImplementedError(f"{nonexistent=} is not supported")

pandas/core/arrays/base.py

@@ -1111,8 +1111,8 @@ def fillna(
         # "ExtensionArray"; expected "ndarray"
         value = missing.check_value_size(
             value,
-            mask,
-            len(self),  # type: ignore[arg-type]
+            mask,  # type: ignore[arg-type]
+            len(self),
         )
 
         if mask.any():

pandas/core/arrays/datetimelike.py

@@ -1242,7 +1242,7 @@ def _add_timedeltalike(self, other: Timedelta | TimedeltaArray):
         # dtype[timedelta64]]"; expected "Union[dtype[datetime64], DatetimeTZDtype]"
         return type(self)._simple_new(
             res_values,
-            dtype=self.dtype,
+            dtype=self.dtype,  # type: ignore[arg-type]
             freq=new_freq,  # type: ignore[arg-type]
         )
 
@@ -1266,9 +1266,9 @@ def _add_nat(self):
         # incompatible type "Union[dtype[timedelta64], dtype[datetime64],
         # DatetimeTZDtype]"; expected "Union[dtype[datetime64], DatetimeTZDtype]"
         return type(self)._simple_new(
-            result,
-            dtype=self.dtype,
-            freq=None,  # type: ignore[arg-type]
+            result,  # type: ignore[arg-type]
+            dtype=self.dtype,  # type: ignore[arg-type]
+            freq=None,
         )
 
     @final

pandas/core/arrays/masked.py

@@ -1097,8 +1097,8 @@ def value_counts(self, dropna: bool = True) -> Series:
         arr = IntegerArray(value_counts, mask)
         index = Index(
             self.dtype.construct_array_type()(
-                keys,
-                mask_index,  # type: ignore[arg-type]
+                keys,  # type: ignore[arg-type]
+                mask_index,
             )
         )
         return Series(arr, index=index, name="count", copy=False)

pandas/core/groupby/generic.py

@@ -860,10 +860,10 @@ def value_counts(
             # "List[ndarray[Any, Any]]"; expected "List[Union[Union[ExtensionArray,
             # ndarray[Any, Any]], Index, Series]]
             _, idx = get_join_indexers(
-                left,
-                right,
+                left,  # type: ignore[arg-type]
+                right,  # type: ignore[arg-type]
                 sort=False,
-                how="left",  # type: ignore[arg-type]
+                how="left",
             )
             if idx is not None:
                 out = np.where(idx != -1, out[idx], 0)

pandas/core/groupby/grouper.py

@@ -1014,8 +1014,8 @@ def is_in_obj(gpr) -> bool:
                 return False
             if isinstance(gpr, Series) and isinstance(obj_gpr_column, Series):
                 return gpr._mgr.references_same_values(  # type: ignore[union-attr]
-                    obj_gpr_column._mgr,
-                    0,  # type: ignore[arg-type]
+                    obj_gpr_column._mgr,  # type: ignore[arg-type]
+                    0,
                 )
             return False
         try:

pandas/core/internals/blocks.py

@@ -1842,8 +1842,8 @@ def shift(self, periods: int, fill_value: Any = None) -> list[Block]:
             # error: Argument 1 to "np_can_hold_element" has incompatible type
             # "Union[dtype[Any], ExtensionDtype]"; expected "dtype[Any]"
             casted = np_can_hold_element(
-                self.dtype,
-                fill_value,  # type: ignore[arg-type]
+                self.dtype,  # type: ignore[arg-type]
+                fill_value,
             )
         except LossySetitemError:
             nb = self.coerce_to_target_dtype(fill_value)

pandas/core/internals/concat.py

@@ -118,9 +118,9 @@ def concatenate_managers(
         # type "List[BlockManager]"; expected "List[Union[ArrayManager,
         # SingleArrayManager, BlockManager, SingleBlockManager]]"
         return _concatenate_array_managers(
-            mgrs,
+            mgrs,  # type: ignore[arg-type]
             axes,
-            concat_axis,  # type: ignore[arg-type]
+            concat_axis,
         )
 
     # Assertions disabled for performance

pandas/core/reshape/pivot.py

@@ -535,8 +535,8 @@ def pivot(
         # error: Unsupported operand types for + ("List[Any]" and "ExtensionArray")
         # error: Unsupported left operand type for + ("ExtensionArray")
         indexed = data.set_index(
-            cols + columns_listlike,
-            append=append,  # type: ignore[operator]
+            cols + columns_listlike,  # type: ignore[operator]
+            append=append,
         )
     else:
         index_list: list[Index] | list[Series]

pandas/io/common.py

@@ -792,9 +792,9 @@ def get_handle(
             # "Union[str, BaseBuffer]"; expected "Union[Union[str, PathLike[str]],
             # ReadBuffer[bytes], WriteBuffer[bytes]]"
             handle = _BytesZipFile(
-                handle,
+                handle,  # type: ignore[arg-type]
                 ioargs.mode,
-                **compression_args,  # type: ignore[arg-type]
+                **compression_args,
             )
             if handle.buffer.mode == "r":
                 handles.append(handle)
@@ -819,8 +819,8 @@ def get_handle(
                 # type "BaseBuffer"; expected "Union[ReadBuffer[bytes],
                 # WriteBuffer[bytes], None]"
                 handle = _BytesTarFile(
-                    fileobj=handle,
-                    **compression_args,  # type: ignore[arg-type]
+                    fileobj=handle,  # type: ignore[arg-type]
+                    **compression_args,
                 )
             assert isinstance(handle, _BytesTarFile)
             if "r" in handle.buffer.mode:
@@ -844,9 +844,9 @@ def get_handle(
             # BaseBuffer]"; expected "Optional[Union[Union[str, bytes, PathLike[str],
             # PathLike[bytes]], IO[bytes]], None]"
             handle = get_lzma_file()(
-                handle,
+                handle,  # type: ignore[arg-type]
                 ioargs.mode,
-                **compression_args,  # type: ignore[arg-type]
+                **compression_args,
             )
 
         # Zstd Compression

pandas/io/excel/_calamine.py

@@ -75,8 +75,8 @@ def load_workbook(
         from python_calamine import load_workbook
 
         return load_workbook(
-            filepath_or_buffer,
-            **engine_kwargs,  # type: ignore[arg-type]
+            filepath_or_buffer,  # type: ignore[arg-type]
+            **engine_kwargs,
         )
 
     @property