Pandas 2.2; remove some deprecated behavior; update pyright

pandas-stubs/_libs/lib.pyi

@@ -5,7 +5,6 @@ from typing import (
 )
 
 import numpy as np
-from pandas import Interval
 from typing_extensions import (
     TypeAlias,
     TypeGuard,
@@ -21,7 +20,6 @@ def infer_dtype(value: object, skipna: bool = ...) -> str: ...
 def is_iterator(obj: object) -> bool: ...
 def is_scalar(val: object) -> bool: ...
 def is_list_like(obj: object, allow_sets: bool = ...) -> bool: ...
-def is_interval(val: object) -> TypeGuard[Interval]: ...
 def is_complex(val: object) -> TypeGuard[complex]: ...
 def is_bool(val: object) -> TypeGuard[bool | np.bool_]: ...
 def is_integer(val: object) -> TypeGuard[int | np.integer]: ...

pandas-stubs/api/types/__init__.pyi

@@ -19,7 +19,6 @@ from pandas.core.dtypes.api import (
     is_hashable as is_hashable,
     is_integer as is_integer,
     is_integer_dtype as is_integer_dtype,
-    is_interval as is_interval,
     is_iterator as is_iterator,
     is_list_like as is_list_like,
     is_named_tuple as is_named_tuple,

pandas-stubs/core/dtypes/api.pyi

@@ -17,7 +17,6 @@ from pandas.core.dtypes.common import (
     is_hashable as is_hashable,
     is_integer as is_integer,
     is_integer_dtype as is_integer_dtype,
-    is_interval as is_interval,
     is_iterator as is_iterator,
     is_list_like as is_list_like,
     is_named_tuple as is_named_tuple,

pandas-stubs/core/dtypes/common.pyi

@@ -17,7 +17,6 @@ from pandas.core.dtypes.inference import (
     is_float as is_float,
     is_hashable as is_hashable,
     is_integer as is_integer,
-    is_interval as is_interval,
     is_iterator as is_iterator,
     is_list_like as is_list_like,
     is_named_tuple as is_named_tuple,

pandas-stubs/core/dtypes/inference.pyi

@@ -5,7 +5,6 @@ is_integer = lib.is_integer
 is_float = lib.is_float
 is_complex = lib.is_complex
 is_scalar = lib.is_scalar
-is_interval = lib.is_interval
 is_list_like = lib.is_list_like
 is_iterator = lib.is_iterator
 

pandas-stubs/core/frame.pyi

@@ -710,7 +710,6 @@ class DataFrame(NDFrame, OpsMixin):
         self,
         value: Scalar | NAType | dict | Series | DataFrame | None = ...,
         *,
-        method: FillnaOptions | None = ...,
         axis: Axis | None = ...,
         limit: int = ...,
         downcast: dict | None = ...,
@@ -721,7 +720,6 @@ class DataFrame(NDFrame, OpsMixin):
         self,
         value: Scalar | NAType | dict | Series | DataFrame | None = ...,
         *,
-        method: FillnaOptions | None = ...,
         axis: Axis | None = ...,
         limit: int = ...,
         downcast: dict | None = ...,
@@ -732,7 +730,6 @@ class DataFrame(NDFrame, OpsMixin):
         self,
         value: Scalar | NAType | dict | Series | DataFrame | None = ...,
         *,
-        method: FillnaOptions | None = ...,
         axis: Axis | None = ...,
         inplace: _bool | None = ...,
         limit: int = ...,

pandas-stubs/core/generic.pyi

@@ -123,6 +123,7 @@ class NDFrame(indexing.IndexingMixin):
     def to_hdf(
         self,
         path_or_buf: FilePath | HDFStore,
+        *,
         key: _str,
         mode: Literal["a", "w", "r+"] = ...,
         complevel: int | None = ...,
@@ -403,7 +404,6 @@ class NDFrame(indexing.IndexingMixin):
         self,
         value=...,
         *,
-        method=...,
         axis=...,
         inplace: _bool = ...,
         limit=...,

pandas-stubs/core/groupby/generic.pyi

@@ -316,17 +316,6 @@ class DataFrameGroupBy(GroupBy[DataFrame], Generic[ByT]):
         ascending: bool = ...,
         dropna: bool = ...,
     ) -> Series[float]: ...
-    def fillna(
-        self,
-        value: (
-            Scalar | ArrayLike | Series | DataFrame | Mapping[Hashable, Scalar] | None
-        ) = ...,
-        method: Literal["bfill", "ffill"] | None = ...,
-        axis: Axis | None | NoDefault = ...,
-        inplace: Literal[False] = ...,
-        limit: int | None = ...,
-        downcast: dict | None | NoDefault = ...,
-    ) -> DataFrame: ...
     def take(
         self, indices: TakeIndexer, axis: Axis | None | NoDefault = ..., **kwargs
     ) -> DataFrame: ...

pandas-stubs/core/indexes/datetimes.pyi

@@ -44,8 +44,6 @@ class DatetimeIndex(DatetimeTimedeltaMixin[Timestamp], DatetimeIndexProperties):
         data: ArrayLike | AnyArrayLike | list | tuple,
         freq=...,
         tz=...,
-        normalize: bool = ...,
-        closed=...,
         ambiguous: str = ...,
         dayfirst: bool = ...,
         yearfirst: bool = ...,

pandas-stubs/core/series.pyi

@@ -1041,7 +1041,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         self,
         value: Scalar | NAType | dict | Series[S1] | DataFrame | None = ...,
         *,
-        method: FillnaOptions | None = ...,
         axis: AxisIndex = ...,
         limit: int | None = ...,
         downcast: dict | None = ...,
@@ -1052,7 +1051,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         self,
         value: Scalar | NAType | dict | Series[S1] | DataFrame | None = ...,
         *,
-        method: FillnaOptions | None = ...,
         axis: AxisIndex = ...,
         limit: int | None = ...,
         downcast: dict | None = ...,
@@ -1063,7 +1061,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         self,
         value: Scalar | NAType | dict | Series[S1] | DataFrame | None = ...,
         *,
-        method: FillnaOptions | None = ...,
         axis: AxisIndex = ...,
         inplace: _bool = ...,
         limit: int | None = ...,

pandas-stubs/core/tools/numeric.pyi

@@ -25,13 +25,6 @@ def to_numeric(
     dtype_backend: DtypeBackend | NoDefault = ...,
 ) -> float: ...
 @overload
-def to_numeric(
-    arg: Scalar,
-    errors: Literal["ignore"],
-    downcast: _Downcast = ...,
-    dtype_backend: DtypeBackend | NoDefault = ...,
-) -> Scalar: ...
-@overload
 def to_numeric(
     arg: list | tuple | np.ndarray,
     errors: IgnoreRaiseCoerce = ...,

pyproject.toml

@@ -36,10 +36,10 @@ numpy = { version = ">=1.26.0", python = "<3.13" }
 
 [tool.poetry.group.dev.dependencies]
 mypy = "1.8.0"
-pandas = "2.1.4"
+pandas = "2.2.0"
 pyarrow = ">=10.0.1"
 pytest = ">=7.1.2"
-pyright = "==1.1.346"
+pyright = ">=1.1.350"
 poethepoet = ">=0.16.5"
 loguru = ">=0.6.0"
 typing-extensions = ">=4.4.0"

tests/__init__.py

@@ -37,7 +37,9 @@ def check(actual: T, klass: type, dtype: type | None = None, attr: str = "left")
     elif isinstance(actual, BaseGroupBy):
         value = actual.obj
     elif hasattr(actual, "__iter__"):
-        value = next(iter(actual))  # pyright: ignore[reportGeneralTypeIssues]
+        value = next(
+            iter(actual)  # pyright: ignore[reportArgumentType,reportCallIssue]
+        )
     else:
         assert hasattr(actual, attr)
         value = getattr(actual, attr)

tests/extension/decimal/array.py

@@ -142,15 +142,15 @@ def __array_ufunc__(self, ufunc: np.ufunc, method: str, *inputs, **kwargs):
             return result
 
         if "out" in kwargs:
-            return arraylike.dispatch_ufunc_with_out(  # type: ignore[attr-defined] # pyright: ignore[reportGeneralTypeIssues]
+            return arraylike.dispatch_ufunc_with_out(  # type: ignore[attr-defined] # pyright: ignore[reportAttributeAccessIssue]
                 self, ufunc, method, *inputs, **kwargs
             )
 
         inputs = tuple(x._data if isinstance(x, DecimalArray) else x for x in inputs)
         result = getattr(ufunc, method)(*inputs, **kwargs)
 
         if method == "reduce":
-            result = arraylike.dispatch_reduction_ufunc(  # type: ignore[attr-defined] # pyright: ignore[reportGeneralTypeIssues]
+            result = arraylike.dispatch_reduction_ufunc(  # type: ignore[attr-defined] # pyright: ignore[reportAttributeAccessIssue]
                 self, ufunc, method, *inputs, **kwargs
             )
             if result is not NotImplemented:

tests/test_api_types.py

@@ -6,10 +6,7 @@
 
 from pandas._typing import DtypeObj
 
-from tests import (
-    check,
-    pytest_warns_bounded,
-)
+from tests import check
 
 nparr = np.array([1, 2, 3])
 arr = pd.Series([1, 2, 3])
@@ -209,21 +206,6 @@ def test_is_integer_dtype() -> None:
     # check(assert_type(api.is_integer_dtype(ExtensionDtype), bool), bool) pandas GH 50923
 
 
-def test_is_interval() -> None:
-    with pytest_warns_bounded(
-        FutureWarning, "is_interval is deprecated", lower="2.1.99"
-    ):
-        check(assert_type(api.is_interval(obj), bool), bool)
-        check(assert_type(api.is_interval(nparr), bool), bool)
-        check(assert_type(api.is_interval(dtylike), bool), bool)
-        check(assert_type(api.is_interval(arr), bool), bool)
-        check(
-            assert_type(api.is_interval(dframe), bool),
-            bool,
-        )
-        check(assert_type(api.is_interval(ind), bool), bool)
-
-
 def test_is_iterator() -> None:
     check(assert_type(api.is_iterator(obj), bool), bool)
     check(assert_type(api.is_iterator(nparr), bool), bool)

tests/test_dtypes.py

@@ -59,10 +59,10 @@ def test_period_dtype() -> None:
     check(assert_type(pd.PeriodDtype(freq=Day()), pd.PeriodDtype), pd.PeriodDtype)
     if TYPE_CHECKING_INVALID_USAGE:
         pd.PeriodDtype(
-            freq=CustomBusinessDay()  # type:ignore[arg-type] # pyright: ignore[reportGeneralTypeIssues]
+            freq=CustomBusinessDay()  # type:ignore[arg-type] # pyright: ignore[reportArgumentType]
         )
         pd.PeriodDtype(
-            freq=BusinessDay()  # type:ignore[arg-type] # pyright: ignore[reportGeneralTypeIssues]
+            freq=BusinessDay()  # type:ignore[arg-type] # pyright: ignore[reportArgumentType]
         )
     check(
         assert_type(p_dt.freq, pd.tseries.offsets.BaseOffset),