chore(mypy): ignore mypy errors

Author: Alvaro-Kothe

pandas/core/algorithms.py

@@ -220,7 +220,7 @@ def _reconstruct_data(
         values = cls._from_sequence(values, dtype=dtype)  # type: ignore[assignment]
 
     else:
-        values = values.astype(dtype, copy=False)
+        values = values.astype(dtype, copy=False)  # type: ignore[assignment]
 
     return values
 

pandas/core/arrays/_mixins.py

@@ -151,7 +151,7 @@ def view(self, dtype: Dtype | None = None) -> ArrayLike:
 
             td64_values = arr.view(dtype)
             return TimedeltaArray._simple_new(td64_values, dtype=dtype)
-        return arr.view(dtype=dtype)
+        return arr.view(dtype=dtype)  # type: ignore[arg-type]
 
     def take(
         self,

pandas/core/arrays/datetimes.py

@@ -804,7 +804,7 @@ def _add_offset(self, offset: BaseOffset) -> Self:
         try:
             res_values = offset._apply_array(values._ndarray)
             if res_values.dtype.kind == "i":
-                res_values = res_values.view(values.dtype)
+                res_values = res_values.view(values.dtype)  # type: ignore[arg-type]
         except NotImplementedError:
             if get_option("performance_warnings"):
                 warnings.warn(

pandas/core/reshape/merge.py

@@ -1746,7 +1746,7 @@ def _maybe_coerce_merge_keys(self) -> None:
 
                     mask = ~np.isnan(lk)
                     match = lk == casted
-                    if not match[mask].all():
+                    if not match[mask].all():  # type: ignore[union-attr]
                         warnings.warn(
                             "You are merging on int and float "
                             "columns where the float values "
@@ -1766,7 +1766,7 @@ def _maybe_coerce_merge_keys(self) -> None:
 
                     mask = ~np.isnan(rk)
                     match = rk == casted
-                    if not match[mask].all():
+                    if not match[mask].all():  # type: ignore[union-attr]
                         warnings.warn(
                             "You are merging on int and float "
                             "columns where the float values "

pandas/core/util/hashing.py

@@ -324,8 +324,8 @@ def _hash_ndarray(
             )
 
             codes, categories = factorize(vals, sort=False)
-            dtype = CategoricalDtype(categories=Index(categories), ordered=False)
-            cat = Categorical._simple_new(codes, dtype)
+            dtype = CategoricalDtype(categories=Index(categories), ordered=False)  # type: ignore[assignment]
+            cat = Categorical._simple_new(codes, dtype)  # type: ignore[arg-type]
             return cat._hash_pandas_object(
                 encoding=encoding, hash_key=hash_key, categorize=False
             )

pandas/io/pytables.py

@@ -3306,13 +3306,13 @@ def write_array(
             self._handle.create_array(
                 self.group,
                 key,
-                value.asi8,
+                value.asi8,  # type: ignore[attr-defined]
             )
 
             node = getattr(self.group, key)
             # error: Item "ExtensionArray" of "Union[Any, ExtensionArray]" has no
             # attribute "tz"
-            node._v_attrs.tz = _get_tz(value.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"):
             self._handle.create_array(self.group, key, value.view("i8"))