pre-commit

Author: dl-lim

pandas/core/dtypes/dtypes.py

@@ -2131,10 +2131,10 @@ def _get_common_dtype(self, dtypes: list[DtypeObj]) -> DtypeObj | None:
                 stacklevel=find_stack_level(),
             )
         np_dtypes = (x.subtype if isinstance(x, SparseDtype) else x for x in dtypes)
-        # error: Argument 1 to "np_find_common_type" has incompatible type 
-        # "*Generator[Any | dtype[Any] | ExtensionDtype, None, None]"; 
+        # error: Argument 1 to "np_find_common_type" has incompatible type
+        # "*Generator[Any | dtype[Any] | ExtensionDtype, None, None]";
         # expected "dtype[Any]"  [arg-type]
-        return SparseDtype(np_find_common_type(*np_dtypes), fill_value=fill_value) # type: ignore [arg-type]
+        return SparseDtype(np_find_common_type(*np_dtypes), fill_value=fill_value)  # type: ignore [arg-type]
 
 
 @register_extension_dtype

pandas/core/indexing.py

@@ -914,7 +914,9 @@ def __setitem__(self, key, value) -> None:
         indexer = self._get_setitem_indexer(key)
         self._has_valid_setitem_indexer(key)
 
-        iloc: _iLocIndexer = cast("_iLocIndexer", self) if self.name == "iloc" else self.obj.iloc
+        iloc: _iLocIndexer = (
+            cast("_iLocIndexer", self) if self.name == "iloc" else self.obj.iloc
+        )
         iloc._setitem_with_indexer(indexer, value, self.name)
 
     def _validate_key(self, key, axis: AxisInt) -> None:

pandas/core/nanops.py

@@ -726,7 +726,9 @@ def nanmean(
 
 
 @bottleneck_switch()
-def nanmedian(values: np.ndarray, *, axis: AxisInt | None = None, skipna: bool = True, mask=None) -> float | np.ndarray:
+def nanmedian(
+    values: np.ndarray, *, axis: AxisInt | None = None, skipna: bool = True, mask=None
+) -> float | np.ndarray:
     """
     Parameters
     ----------

pandas/io/common.py

@@ -916,7 +916,7 @@ def get_handle(
             encoding=ioargs.encoding,
             errors=errors,
             newline="",
-        ) # type: ignore[arg-type]
+        )  # type: ignore[arg-type]
         handles.append(handle)
         # only marked as wrapped when the caller provided a handle
         is_wrapped = not (

pandas/plotting/_core.py

@@ -1038,9 +1038,9 @@ def __call__(self, *args, **kwargs):
                     label_name = label_kw or y
                     data.name = label_name
                 else:
-                    # error: Argument 1 to "len" has incompatible type "Any | bool"; 
+                    # error: Argument 1 to "len" has incompatible type "Any | bool";
                     # expected "Sized"  [arg-type]
-                    match = is_list_like(label_kw) and len(label_kw) == len(y) # type: ignore[arg-type]
+                    match = is_list_like(label_kw) and len(label_kw) == len(y)  # type: ignore[arg-type]
                     if label_kw and not match:
                         raise ValueError(
                             "label should be list-like and same length as y"

pandas/tests/io/test_sql.py

@@ -238,16 +238,16 @@ def types_table_metadata(dialect: str):
         metadata,
         Column("TextCol", TEXT),
         # error: Cannot infer type argument 1 of "Column"
-        Column("DateCol", date_type), # type: ignore[misc]
+        Column("DateCol", date_type),  # type: ignore[misc]
         Column("IntDateCol", Integer),
         Column("IntDateOnlyCol", Integer),
         Column("FloatCol", Float),
         Column("IntCol", Integer),
         # error: Cannot infer type argument 1 of "Column"
-        Column("BoolCol", bool_type), # type: ignore[misc]
-        Column("IntColWithNull", Integer), 
+        Column("BoolCol", bool_type),  # type: ignore[misc]
+        Column("IntColWithNull", Integer),
         # error: Cannot infer type argument 1 of "Column"
-        Column("BoolColWithNull", bool_type), # type: ignore[misc]
+        Column("BoolColWithNull", bool_type),  # type: ignore[misc]
     )
     return types