CI: fix nightly (#869)

* CI: fix nightly

* remove ignores and address comment

Author: twoertwein

pandas-stubs/_typing.pyi

@@ -581,7 +581,7 @@ SequenceIndexer: TypeAlias = slice | list[int] | np.ndarray
 PositionalIndexer: TypeAlias = ScalarIndexer | SequenceIndexer
 TakeIndexer: TypeAlias = Sequence[int] | Sequence[np.integer] | npt.NDArray[np.integer]
 
-IgnoreRaiseCoerce: TypeAlias = Literal["ignore", "raise", "coerce"]
+RaiseCoerce: TypeAlias = Literal["raise", "coerce"]
 
 # Shared by functions such as drop and astype
 IgnoreRaise: TypeAlias = Literal["ignore", "raise"]

pandas-stubs/core/tools/datetimes.pyi

@@ -26,7 +26,7 @@ from pandas._typing import (
     AnyArrayLike,
     DictConvertible,
     IgnoreRaise,
-    IgnoreRaiseCoerce,
+    RaiseCoerce,
     TimestampConvertibleTypes,
     npt,
 )
@@ -68,7 +68,7 @@ def to_datetime(
 @overload
 def to_datetime(
     arg: Series | DictConvertible,
-    errors: IgnoreRaiseCoerce = ...,
+    errors: RaiseCoerce = ...,
     dayfirst: bool = ...,
     yearfirst: bool = ...,
     utc: bool = ...,
@@ -91,7 +91,7 @@ def to_datetime(
         | Index
         | ExtensionArray
     ),
-    errors: IgnoreRaiseCoerce = ...,
+    errors: RaiseCoerce = ...,
     dayfirst: bool = ...,
     yearfirst: bool = ...,
     utc: bool = ...,

pandas-stubs/core/tools/numeric.pyi

@@ -10,7 +10,7 @@ from typing_extensions import TypeAlias
 from pandas._libs.lib import NoDefault
 from pandas._typing import (
     DtypeBackend,
-    IgnoreRaiseCoerce,
+    RaiseCoerce,
     Scalar,
     npt,
 )
@@ -27,14 +27,14 @@ def to_numeric(
 @overload
 def to_numeric(
     arg: list | tuple | np.ndarray,
-    errors: IgnoreRaiseCoerce = ...,
+    errors: RaiseCoerce = ...,
     downcast: _Downcast = ...,
     dtype_backend: DtypeBackend | NoDefault = ...,
 ) -> npt.NDArray: ...
 @overload
 def to_numeric(
     arg: pd.Series,
-    errors: IgnoreRaiseCoerce = ...,
+    errors: RaiseCoerce = ...,
     downcast: _Downcast = ...,
     dtype_backend: DtypeBackend | NoDefault = ...,
 ) -> pd.Series: ...

pandas-stubs/core/tools/timedeltas.pyi

@@ -13,20 +13,20 @@ from pandas._libs.tslibs import Timedelta
 from pandas._libs.tslibs.timedeltas import TimeDeltaUnitChoices
 from pandas._typing import (
     ArrayLike,
-    IgnoreRaiseCoerce,
+    RaiseCoerce,
 )
 
 @overload
 def to_timedelta(
     arg: str | float | timedelta,
     unit: TimeDeltaUnitChoices | None = ...,
-    errors: IgnoreRaiseCoerce = ...,
+    errors: RaiseCoerce = ...,
 ) -> Timedelta: ...
 @overload
 def to_timedelta(
     arg: Series,
     unit: TimeDeltaUnitChoices | None = ...,
-    errors: IgnoreRaiseCoerce = ...,
+    errors: RaiseCoerce = ...,
 ) -> TimedeltaSeries: ...
 @overload
 def to_timedelta(
@@ -39,5 +39,5 @@ def to_timedelta(
         | Index
     ),
     unit: TimeDeltaUnitChoices | None = ...,
-    errors: IgnoreRaiseCoerce = ...,
+    errors: RaiseCoerce = ...,
 ) -> TimedeltaIndex: ...

pandas-stubs/io/formats/style.pyi

@@ -218,16 +218,6 @@ class Styler(StylerRenderer):
         level: Level | list[Level] | None = ...,
         **kwargs: Any,
     ) -> Styler: ...
-    def applymap_index(
-        self,
-        func: Callable[[Scalar], str],
-        axis: Axis = ...,
-        level: Level | list[Level] | None = ...,
-        **kwargs: Any,
-    ) -> Styler: ...
-    def applymap(
-        self, func: Callable[[Scalar], str], subset: Subset | None = ..., **kwargs: Any
-    ) -> Styler: ...
     def set_table_attributes(self, attributes: str) -> Styler: ...
     def export(self) -> StyleExportDict: ...
     def use(self, styles: StyleExportDict) -> Styler: ...

tests/__init__.py

@@ -21,7 +21,7 @@
 
 TYPE_CHECKING_INVALID_USAGE: Final = TYPE_CHECKING
 WINDOWS = os.name == "nt" or "cygwin" in platform.system().lower()
-PD_LTE_21 = Version(pd.__version__) < Version("2.1.999")
+PD_LTE_22 = Version(pd.__version__) < Version("2.2.999")
 
 
 def check(actual: T, klass: type, dtype: type | None = None, attr: str = "left") -> T:

tests/test_errors.py

@@ -3,7 +3,10 @@
 from pandas import errors
 import pytest
 
-from tests import WINDOWS
+from tests import (
+    PD_LTE_22,
+    WINDOWS,
+)
 
 
 def test_abstract_method_error() -> None:
@@ -105,13 +108,15 @@ def test_specification_error() -> None:
 
 
 def test_setting_with_copy_error() -> None:
-    with pytest.raises(errors.SettingWithCopyError):
-        raise errors.SettingWithCopyError()
+    if PD_LTE_22:
+        with pytest.raises(errors.SettingWithCopyError):
+            raise errors.SettingWithCopyError()
 
 
 def test_setting_with_copy_warning() -> None:
-    with pytest.warns(errors.SettingWithCopyWarning):
-        warnings.warn("", errors.SettingWithCopyWarning)
+    if PD_LTE_22:
+        with pytest.warns(errors.SettingWithCopyWarning):
+            warnings.warn("", errors.SettingWithCopyWarning)
 
 
 def test_numexpr_clobbering_error() -> None:

tests/test_frame.py

@@ -45,6 +45,7 @@
 from pandas._typing import Scalar
 
 from tests import (
+    PD_LTE_22,
     TYPE_CHECKING_INVALID_USAGE,
     check,
     pytest_warns_bounded,
@@ -2257,7 +2258,11 @@ def test_groupby_result() -> None:
     index, value = next(iterator)
     assert_type((index, value), tuple[tuple, pd.DataFrame])
 
-    check(assert_type(index, tuple), tuple, np.integer)
+    if PD_LTE_22:
+        check(assert_type(index, tuple), tuple, np.integer)
+    else:
+        check(assert_type(index, tuple), tuple, int)
+
     check(assert_type(value, pd.DataFrame), pd.DataFrame)
 
     iterator2 = df.groupby("a").__iter__()
@@ -2365,7 +2370,7 @@ def test_groupby_result_for_ambiguous_indexes() -> None:
     with pytest_warns_bounded(
         FutureWarning,
         "The default of observed=False is deprecated",
-        lower="2.0.99",
+        upper="2.2.99",
     ):
         categorical_index = pd.CategoricalIndex(df.a)
         iterator2 = df.groupby(categorical_index).__iter__()