STY: Enable pygrep ruff checks (pandas-dev#53062)

* STY: Enable pygrep ruff checks

* Address comments

* Uncomment code

* Address comments

Author: mroeschke

asv_bench/benchmarks/pandas_vb_common.py

@@ -17,7 +17,7 @@
 try:
     import pandas._testing as tm
 except ImportError:
-    import pandas.util.testing as tm  # noqa:F401
+    import pandas.util.testing as tm  # noqa: F401
 
 
 numeric_dtypes = [

doc/source/user_guide/window.rst

@@ -96,7 +96,7 @@ be calculated with :meth:`~Rolling.apply` by specifying a separate column of wei
        return arr
 
    df = pd.DataFrame([[1, 2, 0.6], [2, 3, 0.4], [3, 4, 0.2], [4, 5, 0.7]])
-   df.rolling(2, method="table", min_periods=0).apply(weighted_mean, raw=True, engine="numba")  # noqa:E501
+   df.rolling(2, method="table", min_periods=0).apply(weighted_mean, raw=True, engine="numba")  # noqa: E501
 
 .. versionadded:: 1.3
 

pandas/__init__.py

@@ -21,7 +21,7 @@
 try:
     # numpy compat
     from pandas.compat import (
-        is_numpy_dev as _is_numpy_dev,  # pyright: ignore # noqa:F401
+        is_numpy_dev as _is_numpy_dev,  # pyright: ignore[reportUnusedImport] # noqa: F401,E501
     )
 except ImportError as _err:  # pragma: no cover
     _module = _err.name
@@ -41,7 +41,7 @@
 )
 
 # let init-time option registration happen
-import pandas.core.config_init  # pyright: ignore # noqa:F401
+import pandas.core.config_init  # pyright: ignore[reportUnusedImport] # noqa: F401
 
 from pandas.core.api import (
     # dtype

pandas/_config/__init__.py

@@ -17,7 +17,7 @@
     "using_copy_on_write",
 ]
 from pandas._config import config
-from pandas._config import dates  # pyright: ignore # noqa:F401
+from pandas._config import dates  # pyright: ignore[reportUnusedImport]  # noqa: F401
 from pandas._config.config import (
     _global_config,
     describe_option,

pandas/_libs/__init__.py

@@ -13,8 +13,8 @@
 # Below imports needs to happen first to ensure pandas top level
 # module gets monkeypatched with the pandas_datetime_CAPI
 # see pandas_datetime_exec in pd_datetime.c
-import pandas._libs.pandas_parser  # noqa # isort: skip # type: ignore[reportUnusedImport]
-import pandas._libs.pandas_datetime  # noqa # isort: skip # type: ignore[reportUnusedImport]
+import pandas._libs.pandas_parser  # noqa: F401,E501 # isort: skip # type: ignore[reportUnusedImport]
+import pandas._libs.pandas_datetime  # noqa: F401,E501 # isort: skip # type: ignore[reportUnusedImport]
 from pandas._libs.interval import Interval
 from pandas._libs.tslibs import (
     NaT,

pandas/_libs/lib.pyi

@@ -30,7 +30,7 @@ from enum import Enum
 class _NoDefault(Enum):
     no_default = ...
 
-no_default: Final = _NoDefault.no_default  # noqa
+no_default: Final = _NoDefault.no_default  # noqa: PYI015
 NoDefault = Literal[_NoDefault.no_default]
 
 i8max: int

pandas/core/arrays/datetimes.py

@@ -534,7 +534,7 @@ def _box_func(self, x: np.datetime64) -> Timestamp | NaTType:
     # error: Return type "Union[dtype, DatetimeTZDtype]" of "dtype"
     # incompatible with return type "ExtensionDtype" in supertype
     # "ExtensionArray"
-    def dtype(self) -> np.dtype[np.datetime64] | DatetimeTZDtype:  # type: ignore[override]  # noqa:E501
+    def dtype(self) -> np.dtype[np.datetime64] | DatetimeTZDtype:  # type: ignore[override]  # noqa: E501
         """
         The dtype for the DatetimeArray.
 

pandas/core/dtypes/cast.py

@@ -1200,7 +1200,7 @@ def _ensure_nanosecond_dtype(dtype: DtypeObj) -> None:
     Traceback (most recent call last):
         ...
     TypeError: dtype=timedelta64[ps] is not supported. Supported resolutions are 's', 'ms', 'us', and 'ns'
-    """  # noqa:E501
+    """  # noqa: E501
     msg = (
         f"The '{dtype.name}' dtype has no unit. "
         f"Please pass in '{dtype.name}[ns]' instead."

pandas/core/dtypes/dtypes.py

@@ -902,7 +902,7 @@ class PeriodDtype(PeriodDtypeBase, PandasExtensionDtype):
     # error: Incompatible types in assignment (expression has type
     # "Dict[int, PandasExtensionDtype]", base class "PandasExtensionDtype"
     # defined the type as "Dict[str, PandasExtensionDtype]")  [assignment]
-    _cache_dtypes: dict[BaseOffset, PeriodDtype] = {}  # type: ignore[assignment] # noqa:E501
+    _cache_dtypes: dict[BaseOffset, PeriodDtype] = {}  # type: ignore[assignment] # noqa: E501
     __hash__ = PeriodDtypeBase.__hash__
     _freq: BaseOffset
 

pandas/core/frame.py

@@ -10447,7 +10447,7 @@ def corr(
               dogs  cats
         dogs   1.0   NaN
         cats   NaN   1.0
-        """  # noqa:E501
+        """  # noqa: E501
         data = self._get_numeric_data() if numeric_only else self
         cols = data.columns
         idx = cols.copy()
@@ -10692,7 +10692,7 @@ def corrwith(
         d    1.0
         e    NaN
         dtype: float64
-        """  # noqa:E501
+        """  # noqa: E501
         axis = self._get_axis_number(axis)
         this = self._get_numeric_data() if numeric_only else self