TYP/CLN: implicit re-export

pandas/core/describe.py

@@ -13,6 +13,7 @@
     TYPE_CHECKING,
     Any,
     Callable,
+    Hashable,
     Sequence,
     cast,
 )
@@ -21,10 +22,7 @@
 import numpy as np
 
 from pandas._libs.tslibs import Timestamp
-from pandas._typing import (
-    FrameOrSeries,
-    Hashable,
-)
+from pandas._typing import FrameOrSeries
 from pandas.util._validators import validate_percentile
 
 from pandas.core.dtypes.common import (

pandas/core/dtypes/common.py

@@ -20,7 +20,6 @@
 from pandas._typing import (
     ArrayLike,
     DtypeObj,
-    Optional,
 )
 
 from pandas.core.dtypes.base import _registry as registry
@@ -1406,7 +1405,7 @@ def is_1d_only_ea_obj(obj: Any) -> bool:
     )
 
 
-def is_1d_only_ea_dtype(dtype: Optional[DtypeObj]) -> bool:
+def is_1d_only_ea_dtype(dtype: DtypeObj | None) -> bool:
     """
     Analogue to is_extension_array_dtype but excluding DatetimeTZDtype.
     """
@@ -1471,7 +1470,7 @@ def is_extension_array_dtype(arr_or_dtype) -> bool:
         return registry.find(dtype) is not None
 
 
-def is_ea_or_datetimelike_dtype(dtype: Optional[DtypeObj]) -> bool:
+def is_ea_or_datetimelike_dtype(dtype: DtypeObj | None) -> bool:
     """
     Check for ExtensionDtype, datetime64 dtype, or timedelta64 dtype.
 
@@ -1715,7 +1714,7 @@ def _validate_date_like_dtype(dtype) -> None:
         )
 
 
-def validate_all_hashable(*args, error_name: Optional[str] = None) -> None:
+def validate_all_hashable(*args, error_name: str | None = None) -> None:
     """
     Return None if all args are hashable, else raise a TypeError.
 

pandas/core/frame.py

@@ -68,6 +68,8 @@
     Scalar,
     StorageOptions,
     Suffixes,
+    TimedeltaConvertibleTypes,
+    TimestampConvertibleTypes,
     ValueKeyFunc,
     npt,
 )
@@ -209,11 +211,6 @@
 
 if TYPE_CHECKING:
 
-    from pandas._typing import (
-        TimedeltaConvertibleTypes,
-        TimestampConvertibleTypes,
-    )
-
     from pandas.core.groupby.generic import DataFrameGroupBy
     from pandas.core.resample import Resampler
 

pandas/core/indexers.py

@@ -3,13 +3,15 @@
 """
 from __future__ import annotations
 
-from typing import TYPE_CHECKING
+from typing import (
+    TYPE_CHECKING,
+    Any,
+)
 import warnings
 
 import numpy as np
 
 from pandas._typing import (
-    Any,
     AnyArrayLike,
     ArrayLike,
 )

pandas/core/indexes/datetimelike.py

@@ -7,6 +7,7 @@
 from typing import (
     TYPE_CHECKING,
     Any,
+    Callable,
     Sequence,
     TypeVar,
     cast,
@@ -27,10 +28,7 @@
     Tick,
     parsing,
 )
-from pandas._typing import (
-    Callable,
-    final,
-)
+from pandas._typing import final
 from pandas.compat.numpy import function as nv
 from pandas.util._decorators import (
     Appender,

pandas/core/indexes/timedeltas.py

@@ -9,10 +9,7 @@
     Timedelta,
     to_offset,
 )
-from pandas._typing import (
-    DtypeObj,
-    Optional,
-)
+from pandas._typing import DtypeObj
 
 from pandas.core.dtypes.common import (
     TD64NS_DTYPE,
@@ -233,7 +230,7 @@ def inferred_type(self) -> str:
 def timedelta_range(
     start=None,
     end=None,
-    periods: Optional[int] = None,
+    periods: int | None = None,
     freq=None,
     name=None,
     closed=None,

pandas/core/internals/array_manager.py

@@ -7,6 +7,7 @@
     TYPE_CHECKING,
     Any,
     Callable,
+    Hashable,
     TypeVar,
 )
 
@@ -19,7 +20,6 @@
 from pandas._typing import (
     ArrayLike,
     DtypeObj,
-    Hashable,
 )
 from pandas.util._validators import validate_bool_kwarg
 

pandas/core/series.py

@@ -43,6 +43,8 @@
     IndexKeyFunc,
     SingleManager,
     StorageOptions,
+    TimedeltaConvertibleTypes,
+    TimestampConvertibleTypes,
     ValueKeyFunc,
     npt,
 )
@@ -142,11 +144,6 @@
 
 if TYPE_CHECKING:
 
-    from pandas._typing import (
-        TimedeltaConvertibleTypes,
-        TimestampConvertibleTypes,
-    )
-
     from pandas.core.frame import DataFrame
     from pandas.core.groupby.generic import SeriesGroupBy
     from pandas.core.resample import Resampler