STYLE: enable ruff TCH on some file

pandas/plotting/_core.py

@@ -1,15 +1,13 @@
 from __future__ import annotations
 
 import importlib
-import types
 from typing import (
     TYPE_CHECKING,
     Sequence,
 )
 
 from pandas._config import get_option
 
-from pandas._typing import IndexLabel
 from pandas.util._decorators import (
     Appender,
     Substitution,
@@ -27,8 +25,12 @@
 from pandas.core.base import PandasObject
 
 if TYPE_CHECKING:
+    import types
+
     from matplotlib.axes import Axes
 
+    from pandas._typing import IndexLabel
+
     from pandas import DataFrame
 
 

pandas/plotting/_matplotlib/boxplot.py

@@ -11,7 +11,6 @@
 from matplotlib.artist import setp
 import numpy as np
 
-from pandas._typing import MatplotlibColor
 from pandas.util._exceptions import find_stack_level
 
 from pandas.core.dtypes.common import is_dict_like
@@ -37,6 +36,8 @@
     from matplotlib.axes import Axes
     from matplotlib.lines import Line2D
 
+    from pandas._typing import MatplotlibColor
+
 
 class BoxPlot(LinePlot):
     @property

pandas/plotting/_matplotlib/core.py

@@ -14,14 +14,8 @@
 import warnings
 
 import matplotlib as mpl
-from matplotlib.artist import Artist
 import numpy as np
 
-from pandas._typing import (
-    IndexLabel,
-    PlottingOrientation,
-    npt,
-)
 from pandas.errors import AbstractMethodError
 from pandas.util._decorators import cache_readonly
 from pandas.util._exceptions import find_stack_level
@@ -79,9 +73,16 @@
 )
 
 if TYPE_CHECKING:
+    from matplotlib.artist import Artist
     from matplotlib.axes import Axes
     from matplotlib.axis import Axis
 
+    from pandas._typing import (
+        IndexLabel,
+        PlottingOrientation,
+        npt,
+    )
+
 
 def _color_in_style(style: str) -> bool:
     """

pandas/plotting/_matplotlib/groupby.py

@@ -1,11 +1,8 @@
 from __future__ import annotations
 
-import numpy as np
+from typing import TYPE_CHECKING
 
-from pandas._typing import (
-    Dict,
-    IndexLabel,
-)
+import numpy as np
 
 from pandas.core.dtypes.missing import remove_na_arraylike
 
@@ -18,6 +15,12 @@
 
 from pandas.plotting._matplotlib.misc import unpack_single_str_list
 
+if TYPE_CHECKING:
+    from pandas._typing import (
+        Dict,
+        IndexLabel,
+    )
+
 
 def create_iter_data_given_by(
     data: DataFrame, kind: str = "hist"

pandas/plotting/_matplotlib/hist.py

@@ -7,8 +7,6 @@
 
 import numpy as np
 
-from pandas._typing import PlottingOrientation
-
 from pandas.core.dtypes.common import (
     is_integer,
     is_list_like,
@@ -42,6 +40,8 @@
 if TYPE_CHECKING:
     from matplotlib.axes import Axes
 
+    from pandas._typing import PlottingOrientation
+
     from pandas import DataFrame
 
 

pandas/plotting/_matplotlib/timeseries.py

@@ -2,7 +2,6 @@
 
 from __future__ import annotations
 
-from datetime import timedelta
 import functools
 from typing import (
     TYPE_CHECKING,
@@ -37,6 +36,8 @@
 )
 
 if TYPE_CHECKING:
+    from datetime import timedelta
+
     from matplotlib.axes import Axes
 
     from pandas import (

pandas/tests/extension/array_with_attr/array.py

@@ -5,16 +5,18 @@
 from __future__ import annotations
 
 import numbers
+from typing import TYPE_CHECKING
 
 import numpy as np
 
-from pandas._typing import type_t
-
 from pandas.core.dtypes.base import ExtensionDtype
 
 import pandas as pd
 from pandas.core.arrays import ExtensionArray
 
+if TYPE_CHECKING:
+    from pandas._typing import type_t
+
 
 class FloatAttrDtype(ExtensionDtype):
     type = float

pandas/tests/extension/date/array.py

@@ -1,20 +1,15 @@
+from __future__ import annotations
+
 import datetime as dt
 from typing import (
+    TYPE_CHECKING,
     Any,
-    Optional,
     Sequence,
-    Tuple,
-    Union,
     cast,
 )
 
 import numpy as np
 
-from pandas._typing import (
-    Dtype,
-    PositionalIndexer,
-)
-
 from pandas.core.dtypes.dtypes import register_extension_dtype
 
 from pandas.api.extensions import (
@@ -23,6 +18,12 @@
 )
 from pandas.api.types import pandas_dtype
 
+if TYPE_CHECKING:
+    from pandas._typing import (
+        Dtype,
+        PositionalIndexer,
+    )
+
 
 @register_extension_dtype
 class DateDtype(ExtensionDtype):
@@ -61,12 +62,12 @@ def __repr__(self) -> str:
 class DateArray(ExtensionArray):
     def __init__(
         self,
-        dates: Union[
-            dt.date,
-            Sequence[dt.date],
-            Tuple[np.ndarray, np.ndarray, np.ndarray],
-            np.ndarray,
-        ],
+        dates: (
+            dt.date
+            | Sequence[dt.date]
+            | tuple[np.ndarray, np.ndarray, np.ndarray]
+            | np.ndarray
+        ),
     ) -> None:
         if isinstance(dates, dt.date):
             self._year = np.array([dates.year])
@@ -146,7 +147,7 @@ def __getitem__(self, item: PositionalIndexer):
         else:
             raise NotImplementedError("only ints are supported as indexes")
 
-    def __setitem__(self, key: Union[int, slice, np.ndarray], value: Any):
+    def __setitem__(self, key: int | slice | np.ndarray, value: Any):
         if not isinstance(key, int):
             raise NotImplementedError("only ints are supported as indexes")
 
@@ -160,7 +161,7 @@ def __setitem__(self, key: Union[int, slice, np.ndarray], value: Any):
     def __repr__(self) -> str:
         return f"DateArray{list(zip(self._year, self._month, self._day))}"
 
-    def copy(self) -> "DateArray":
+    def copy(self) -> DateArray:
         return DateArray((self._year.copy(), self._month.copy(), self._day.copy()))
 
     def isna(self) -> np.ndarray:
@@ -172,7 +173,7 @@ def isna(self) -> np.ndarray:
         )
 
     @classmethod
-    def _from_sequence(cls, scalars, *, dtype: Optional[Dtype] = None, copy=False):
+    def _from_sequence(cls, scalars, *, dtype: Dtype | None = None, copy=False):
         if isinstance(scalars, dt.date):
             pass
         elif isinstance(scalars, DateArray):

pandas/tests/extension/decimal/array.py

@@ -4,11 +4,10 @@
 import numbers
 import random
 import sys
+from typing import TYPE_CHECKING
 
 import numpy as np
 
-from pandas._typing import type_t
-
 from pandas.core.dtypes.base import ExtensionDtype
 from pandas.core.dtypes.common import (
     is_dtype_equal,
@@ -33,6 +32,9 @@
 )
 from pandas.core.indexers import check_array_indexer
 
+if TYPE_CHECKING:
+    from pandas._typing import type_t
+
 
 @register_extension_dtype
 class DecimalDtype(ExtensionDtype):

pandas/tests/extension/json/array.py

@@ -23,14 +23,13 @@
 import string
 import sys
 from typing import (
+    TYPE_CHECKING,
     Any,
     Mapping,
 )
 
 import numpy as np
 
-from pandas._typing import type_t
-
 from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
 from pandas.core.dtypes.common import (
     is_bool_dtype,
@@ -45,6 +44,9 @@
 )
 from pandas.core.indexers import unpack_tuple_and_ellipses
 
+if TYPE_CHECKING:
+    from pandas._typing import type_t
+
 
 class JSONDtype(ExtensionDtype):
     type = abc.Mapping

pandas/tests/extension/list/array.py

@@ -8,11 +8,10 @@
 import numbers
 import random
 import string
+from typing import TYPE_CHECKING
 
 import numpy as np
 
-from pandas._typing import type_t
-
 from pandas.core.dtypes.base import ExtensionDtype
 
 import pandas as pd
@@ -22,6 +21,9 @@
 )
 from pandas.core.arrays import ExtensionArray
 
+if TYPE_CHECKING:
+    from pandas._typing import type_t
+
 
 class ListDtype(ExtensionDtype):
     type = list

pandas/tests/frame/common.py

@@ -1,12 +1,15 @@
 from __future__ import annotations
 
-from pandas._typing import AxisInt
+from typing import TYPE_CHECKING
 
 from pandas import (
     DataFrame,
     concat,
 )
 
+if TYPE_CHECKING:
+    from pandas._typing import AxisInt
+
 
 def _check_mixed_float(df, dtype=None):
     # float16 are most likely to be upcasted to float32

pandas/tests/tseries/offsets/test_custom_business_month.py

@@ -11,6 +11,7 @@
     datetime,
     timedelta,
 )
+from typing import TYPE_CHECKING
 
 import numpy as np
 import pytest
@@ -29,11 +30,13 @@
     assert_is_on_offset,
     assert_offset_equal,
 )
-from pandas.tests.tseries.offsets.test_offsets import _ApplyCases
 
 from pandas.tseries import offsets
 from pandas.tseries.holiday import USFederalHolidayCalendar
 
+if TYPE_CHECKING:
+    from pandas.tests.tseries.offsets.test_offsets import _ApplyCases
+
 
 @pytest.fixture
 def dt():

pandas/tseries/__init__.py

@@ -1,3 +1,4 @@
+# ruff: noqa: TCH004
 from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:

pandas/tseries/frequencies.py

@@ -1,5 +1,7 @@
 from __future__ import annotations
 
+from typing import TYPE_CHECKING
+
 import numpy as np
 
 from pandas._libs.algos import unique_deltas
@@ -26,7 +28,6 @@
     to_offset,
 )
 from pandas._libs.tslibs.parsing import get_rule_month
-from pandas._typing import npt
 from pandas.util._decorators import cache_readonly
 
 from pandas.core.dtypes.common import (
@@ -42,6 +43,8 @@
 
 from pandas.core.algorithms import unique
 
+if TYPE_CHECKING:
+    from pandas._typing import npt
 # ---------------------------------------------------------------------
 # Offset names ("time rules") and related functions
 

pyproject.toml

@@ -300,11 +300,6 @@ exclude = [
 "pandas/core/algorithms.py" = ["TCH"]
 "pandas/core/ops/*" = ["TCH"]
 "pandas/core/sorting.py" = ["TCH"]
-"pandas/core/construction.py" = ["TCH"]
-"pandas/core/missing.py" = ["TCH"]
-"pandas/tseries/*" = ["TCH"]
-"pandas/tests/*" = ["TCH"]
-"pandas/plotting/*" = ["TCH"]
 "pandas/util/*" = ["TCH"]
 "pandas/_libs/*" = ["TCH"]
 # Keep this one enabled