CLN remove unnecessary noqas from pandas/core

pandas/core/algorithms.py

@@ -60,7 +60,7 @@
 from pandas.core.indexers import validate_indices
 
 if TYPE_CHECKING:
-    from pandas import Categorical, DataFrame, Series  # noqa:F401
+    from pandas import Categorical, DataFrame, Series
 
 _shared_docs: Dict[str, str] = {}
 

pandas/core/arrays/boolean.py

@@ -27,7 +27,7 @@
 from .masked import BaseMaskedArray, BaseMaskedDtype
 
 if TYPE_CHECKING:
-    import pyarrow  # noqa: F401
+    import pyarrow
 
 
 @register_extension_dtype
@@ -98,7 +98,7 @@ def __from_arrow__(
         """
         Construct BooleanArray from pyarrow Array/ChunkedArray.
         """
-        import pyarrow  # noqa: F811
+        import pyarrow
 
         if isinstance(array, pyarrow.Array):
             chunks = [array]

pandas/core/arrays/integer.py

@@ -33,7 +33,7 @@
 from .masked import BaseMaskedArray, BaseMaskedDtype
 
 if TYPE_CHECKING:
-    import pyarrow  # noqa: F401
+    import pyarrow
 
 
 class _IntegerDtype(BaseMaskedDtype):
@@ -115,7 +115,7 @@ def __from_arrow__(
         """
         Construct IntegerArray from pyarrow Array/ChunkedArray.
         """
-        import pyarrow  # noqa: F811
+        import pyarrow
 
         from pandas.core.arrays._arrow_utils import pyarrow_array_to_numpy_and_mask
 

pandas/core/arrays/sparse/dtype.py

@@ -22,7 +22,7 @@
 from pandas.core.dtypes.missing import isna, na_value_for_dtype
 
 if TYPE_CHECKING:
-    from pandas.core.arrays.sparse.array import SparseArray  # noqa: F401
+    from pandas.core.arrays.sparse.array import SparseArray
 
 
 @register_extension_dtype
@@ -180,7 +180,7 @@ def construct_array_type(cls) -> Type["SparseArray"]:
         -------
         type
         """
-        from pandas.core.arrays.sparse.array import SparseArray  # noqa: F811
+        from pandas.core.arrays.sparse.array import SparseArray
 
         return SparseArray
 

pandas/core/arrays/string_.py

@@ -18,7 +18,7 @@
 from pandas.core.missing import isna
 
 if TYPE_CHECKING:
-    import pyarrow  # noqa: F401
+    import pyarrow
 
 
 @register_extension_dtype
@@ -79,7 +79,7 @@ def __from_arrow__(
         """
         Construct StringArray from pyarrow Array/ChunkedArray.
         """
-        import pyarrow  # noqa: F811
+        import pyarrow
 
         if isinstance(array, pyarrow.Array):
             chunks = [array]

pandas/core/dtypes/base.py

@@ -12,7 +12,7 @@
 from pandas.core.dtypes.generic import ABCDataFrame, ABCIndexClass, ABCSeries
 
 if TYPE_CHECKING:
-    from pandas.core.arrays import ExtensionArray  # noqa: F401
+    from pandas.core.arrays import ExtensionArray
 
 
 class ExtensionDtype:

pandas/core/dtypes/cast.py

@@ -77,7 +77,7 @@
 
 if TYPE_CHECKING:
     from pandas import Series
-    from pandas.core.arrays import ExtensionArray  # noqa: F401
+    from pandas.core.arrays import ExtensionArray
 
 _int8_max = np.iinfo(np.int8).max
 _int16_max = np.iinfo(np.int16).max

pandas/core/dtypes/dtypes.py

@@ -29,14 +29,10 @@
 from pandas.core.dtypes.inference import is_bool, is_list_like
 
 if TYPE_CHECKING:
-    import pyarrow  # noqa: F401
+    import pyarrow
 
-    from pandas import Categorical  # noqa: F401
-    from pandas.core.arrays import (  # noqa: F401
-        DatetimeArray,
-        IntervalArray,
-        PeriodArray,
-    )
+    from pandas import Categorical
+    from pandas.core.arrays import DatetimeArray, IntervalArray, PeriodArray
 
 str_type = str
 
@@ -457,7 +453,7 @@ def construct_array_type(cls) -> Type["Categorical"]:
         -------
         type
         """
-        from pandas import Categorical  # noqa: F811
+        from pandas import Categorical
 
         return Categorical
 
@@ -706,7 +702,7 @@ def construct_array_type(cls) -> Type["DatetimeArray"]:
         -------
         type
         """
-        from pandas.core.arrays import DatetimeArray  # noqa: F811
+        from pandas.core.arrays import DatetimeArray
 
         return DatetimeArray
 
@@ -959,7 +955,7 @@ def __from_arrow__(
         """
         Construct PeriodArray from pyarrow Array/ChunkedArray.
         """
-        import pyarrow  # noqa: F811
+        import pyarrow
 
         from pandas.core.arrays import PeriodArray
         from pandas.core.arrays._arrow_utils import pyarrow_array_to_numpy_and_mask
@@ -1157,7 +1153,7 @@ def __from_arrow__(
         """
         Construct IntervalArray from pyarrow Array/ChunkedArray.
         """
-        import pyarrow  # noqa: F811
+        import pyarrow
 
         from pandas.core.arrays import IntervalArray
 

pandas/core/groupby/generic.py

@@ -83,7 +83,7 @@
 from pandas.plotting import boxplot_frame_groupby
 
 if TYPE_CHECKING:
-    from pandas.core.internals import Block  # noqa:F401
+    from pandas.core.internals import Block
 
 
 NamedAgg = namedtuple("NamedAgg", ["column", "aggfunc"])

pandas/core/indexes/accessors.py

@@ -24,7 +24,7 @@
 from pandas.core.indexes.timedeltas import TimedeltaIndex
 
 if TYPE_CHECKING:
-    from pandas import Series  # noqa:F401
+    from pandas import Series
 
 
 class Properties(PandasDelegate, PandasObject, NoNewAttributesMixin):

pandas/core/indexes/interval.py

@@ -57,7 +57,7 @@
 from pandas.core.ops import get_op_result_name
 
 if TYPE_CHECKING:
-    from pandas import CategoricalIndex  # noqa:F401
+    from pandas import CategoricalIndex
 
 _index_doc_kwargs = dict(ibase._index_doc_kwargs)
 

pandas/core/indexes/multi.py

@@ -65,7 +65,7 @@
 )
 
 if TYPE_CHECKING:
-    from pandas import Series  # noqa:F401
+    from pandas import Series
 
 _index_doc_kwargs = dict(ibase._index_doc_kwargs)
 _index_doc_kwargs.update(

pandas/core/indexing.py

@@ -35,7 +35,7 @@
 from pandas.core.indexes.api import Index
 
 if TYPE_CHECKING:
-    from pandas import DataFrame, Series  # noqa:F401
+    from pandas import DataFrame, Series
 
 # "null slice"
 _NS = slice(None, None)

pandas/core/internals/construction.py

@@ -52,7 +52,7 @@
 )
 
 if TYPE_CHECKING:
-    from pandas import Series  # noqa:F401
+    from pandas import Series
 
 # ---------------------------------------------------------------------
 # BlockManager Interface
@@ -244,7 +244,7 @@ def init_dict(data: Dict, index, columns, dtype: Optional[DtypeObj] = None):
     arrays: Union[Sequence[Any], "Series"]
 
     if columns is not None:
-        from pandas.core.series import Series  # noqa:F811
+        from pandas.core.series import Series
 
         arrays = Series(data, index=columns, dtype=object)
         data_names = arrays.index

pandas/core/internals/ops.py

@@ -6,8 +6,8 @@
 from pandas._typing import ArrayLike
 
 if TYPE_CHECKING:
-    from pandas.core.internals.blocks import Block  # noqa:F401
-    from pandas.core.internals.managers import BlockManager  # noqa:F401
+    from pandas.core.internals.blocks import Block
+    from pandas.core.internals.managers import BlockManager
 
 
 BlockPairInfo = namedtuple(

pandas/core/ops/__init__.py

@@ -55,7 +55,7 @@
 )
 
 if TYPE_CHECKING:
-    from pandas import DataFrame, Series  # noqa:F401
+    from pandas import DataFrame, Series
 
 # -----------------------------------------------------------------------------
 # constants

pandas/core/reshape/melt.py

@@ -19,7 +19,7 @@
 from pandas.core.tools.numeric import to_numeric
 
 if TYPE_CHECKING:
-    from pandas import DataFrame, Series  # noqa: F401
+    from pandas import DataFrame, Series
 
 
 @Appender(_shared_docs["melt"] % dict(caller="pd.melt(df, ", other="DataFrame.melt"))

pandas/core/reshape/merge.py

@@ -50,7 +50,7 @@
 from pandas.core.sorting import is_int64_overflow_possible
 
 if TYPE_CHECKING:
-    from pandas import DataFrame  # noqa:F401
+    from pandas import DataFrame
 
 
 @Substitution("\nleft : DataFrame")

pandas/core/sorting.py

@@ -469,7 +469,7 @@ def ensure_key_mapped(values, key: Optional[Callable], levels=None):
     levels : Optional[List], if values is a MultiIndex, list of levels to
     apply the key to.
     """
-    from pandas.core.indexes.api import Index  # noqa:F811
+    from pandas.core.indexes.api import Index
 
     if not key:
         return values

pandas/core/tools/datetimes.py

@@ -53,9 +53,9 @@
 from pandas.core.indexes.datetimes import DatetimeIndex
 
 if TYPE_CHECKING:
-    from pandas._libs.tslibs.nattype import NaTType  # noqa:F401
+    from pandas._libs.tslibs.nattype import NaTType
 
-    from pandas import Series  # noqa:F401
+    from pandas import Series
 
 # ---------------------------------------------------------------------
 # types used in annotations