chore: update error comments

Author: Alvaro-Kothe

pandas/_typing.py

@@ -83,7 +83,6 @@
 
     # numpy compatible types
     NumpyValueArrayLike: TypeAlias = ScalarLike_co | npt.ArrayLike
-    # Name "npt._ArrayLikeInt_co" is not defined  [name-defined]
     NumpySorter: TypeAlias = npt._ArrayLikeInt_co | None
 
 

pandas/core/arrays/_mixins.py

@@ -151,6 +151,8 @@ def view(self, dtype: Dtype | None = None) -> ArrayLike:
 
             td64_values = arr.view(dtype)
             return TimedeltaArray._simple_new(td64_values, dtype=dtype)
+        # error: Argument "dtype" to "view" of "ndarray" has incompatible type
+        # "ExtensionDtype | dtype[Any]"; expected "dtype[Any] | _HasDType[dtype[Any]]"
         return arr.view(dtype=dtype)  # type: ignore[arg-type]
 
     def take(

pandas/core/arrays/datetimes.py

@@ -804,6 +804,10 @@ def _add_offset(self, offset: BaseOffset) -> Self:
         try:
             res_values = offset._apply_array(values._ndarray)
             if res_values.dtype.kind == "i":
+                # error: Argument 1 to "view" of "ndarray" has
+                # incompatible type
+                # "dtype[datetime64[date | int | None]] | DatetimeTZDtype";
+                # expected "dtype[Any] | _HasDType[dtype[Any]]"  [arg-type]
                 res_values = res_values.view(values.dtype)  # type: ignore[arg-type]
         except NotImplementedError:
             if get_option("performance_warnings"):

pandas/core/nanops.py

@@ -651,8 +651,6 @@ def _mask_datetimelike_result(
         # we need to apply the mask
         result = result.astype("i8").view(orig_values.dtype)
         axis_mask = mask.any(axis=axis)
-        # error: Unsupported target for indexed assignment ("Union[ndarray[Any, Any],
-        # datetime64, timedelta64]")
         result[axis_mask] = iNaT
     else:
         if mask.any():

pandas/core/reshape/merge.py

@@ -1746,6 +1746,8 @@ def _maybe_coerce_merge_keys(self) -> None:
 
                     mask = ~np.isnan(lk)
                     match = lk == casted
+                    # error: Item "ExtensionArray" of
+                    # "ExtensionArray | Any" has no attribute "all"
                     if not match[mask].all():  # type: ignore[union-attr]
                         warnings.warn(
                             "You are merging on int and float "
@@ -1766,6 +1768,8 @@ def _maybe_coerce_merge_keys(self) -> None:
 
                     mask = ~np.isnan(rk)
                     match = rk == casted
+                    # error: Item "ExtensionArray" of
+                    # "ExtensionArray | Any" has no attribute "all"
                     if not match[mask].all():  # type: ignore[union-attr]
                         warnings.warn(
                             "You are merging on int and float "

pandas/io/pytables.py

@@ -3301,17 +3301,15 @@ def write_array(
             # store as UTC
             # with a zone
 
-            # error: Item "ExtensionArray" of "Union[Any, ExtensionArray]" has no
-            # attribute "asi8"
+            # error: "ExtensionArray" has no attribute "asi8"
             self._handle.create_array(
                 self.group,
                 key,
                 value.asi8,  # type: ignore[attr-defined]
             )
 
             node = getattr(self.group, key)
-            # error: Item "ExtensionArray" of "Union[Any, ExtensionArray]" has no
-            # attribute "tz"
+            # error: "ExtensionArray" has no attribute "tz"
             node._v_attrs.tz = _get_tz(value.tz)  # type: ignore[attr-defined]
             node._v_attrs.value_type = f"datetime64[{value.dtype.unit}]"
         elif lib.is_np_dtype(value.dtype, "m"):
@@ -5195,7 +5193,6 @@ def _maybe_convert_for_string_atom(
     columns: list[str],
 ):
     if isinstance(bvalues.dtype, StringDtype):
-        # "ndarray[Any, Any]" has no attribute "to_numpy"
         bvalues = bvalues.to_numpy()
     if bvalues.dtype != object:
         return bvalues