enable reportMissingTypeArgument

Author: cmp0xff

pandas-stubs/_typing.pyi

@@ -980,7 +980,7 @@ ListLikeExceptSeriesAndStr: TypeAlias = (
 )
 ListLikeU: TypeAlias = Sequence[Any] | np_1darray | Series | Index
 ListLikeHashable: TypeAlias = (
-    MutableSequence[HashableT] | np_1darray | tuple[HashableT, ...] | range
+    MutableSequence[HashableT0] | np_1darray | tuple[HashableT0, ...] | range
 )
 
 class SupportsDType(Protocol[GenericT_co]):
@@ -1100,21 +1100,23 @@ if TYPE_CHECKING:  # noqa: PYI002
         | Period
         | Interval[int | float | Timestamp | Timedelta],
     )
-GroupByObjectNonScalar: TypeAlias = (
-    tuple[_HashableTa, ...]
-    | list[_HashableTa]
-    | Function
-    | list[Function]
-    | list[Series]
-    | np_ndarray
-    | list[np_ndarray]
-    | Mapping[Label, Any]
-    | list[Mapping[Label, Any]]
-    | list[Index]
-    | Grouper
-    | list[Grouper]
-)
-GroupByObject: TypeAlias = Scalar | Index | GroupByObjectNonScalar | Series
+    GroupByObjectNonScalar: TypeAlias = (
+        tuple[_HashableTa, ...]
+        | list[_HashableTa]
+        | Function
+        | list[Function]
+        | list[Series]
+        | np_ndarray
+        | list[np_ndarray]
+        | Mapping[Label, Any]
+        | list[Mapping[Label, Any]]
+        | list[Index]
+        | Grouper
+        | list[Grouper]
+    )
+    GroupByObject: TypeAlias = (
+        Scalar | Index | GroupByObjectNonScalar[_HashableTa] | Series
+    )
 
 StataDateFormat: TypeAlias = Literal[
     "tc",

pandas-stubs/core/frame.pyi

@@ -58,7 +58,7 @@ from pandas.core.indexing import (
     _LocIndexer,
 )
 from pandas.core.reshape.pivot import (
-    _PivotAggFunc,
+    _PivotAggFuncTypes,
     _PivotTableColumnsTypes,
     _PivotTableIndexTypes,
     _PivotTableValuesTypes,
@@ -178,7 +178,7 @@ from pandas.plotting import PlotAccessor
 from pandas.plotting._core import _BoxPlotT
 
 _T_MUTABLE_MAPPING_co = TypeVar(
-    "_T_MUTABLE_MAPPING_co", bound=MutableMapping, covariant=True
+    "_T_MUTABLE_MAPPING_co", bound=MutableMapping[Any, Any], covariant=True
 )
 
 _iLocSetItemKey: TypeAlias = (
@@ -1279,7 +1279,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         dropna: _bool = ...,
     ) -> DataFrameGroupBy[Period, Literal[False]]: ...
     @overload
-    def groupby(  # pyright: ignore reportOverlappingOverload
+    def groupby(
         self,
         by: IntervalIndex[IntervalT],
         level: IndexLabel | None = ...,
@@ -1292,7 +1292,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     @overload
     def groupby(
         self,
-        by: IntervalIndex[IntervalT],
+        by: IntervalIndex,
         level: IndexLabel | None = ...,
         as_index: Literal[False] = False,
         sort: _bool = ...,
@@ -1378,9 +1378,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         values: _PivotTableValuesTypes = None,
         index: _PivotTableIndexTypes = None,
         columns: _PivotTableColumnsTypes = None,
-        aggfunc: (
-            _PivotAggFunc | Sequence[_PivotAggFunc] | Mapping[Hashable, _PivotAggFunc]
-        ) = "mean",
+        aggfunc: _PivotAggFuncTypes[Scalar] = "mean",
         fill_value: Scalar | None = None,
         margins: _bool = False,
         dropna: _bool = True,

pandas-stubs/core/indexes/accessors.pyi

@@ -5,6 +5,7 @@ from datetime import (
     tzinfo as _tzinfo,
 )
 from typing import (
+    Any,
     Generic,
     Literal,
     TypeVar,
@@ -377,7 +378,7 @@ class PeriodProperties(
         Series[Timestamp], Series[int], Series[str], DatetimeArray, PeriodArray
     ],
     _DatetimeFieldOps[Series[int]],
-    _IsLeapYearProperty,
+    _IsLeapYearProperty[_DTBoolOpsReturnType],
     _FreqProperty[BaseOffset],
 ): ...
 class CombinedDatetimelikeProperties(
@@ -393,7 +394,9 @@ class CombinedDatetimelikeProperties(
         Series[Period],
     ],
     _TimedeltaPropertiesNoRounding[Series[int], Series[float]],
-    _PeriodProperties,
+    _PeriodProperties[
+        Series[Timestamp], Series[int], Series[str], DatetimeArray, PeriodArray
+    ],
 ): ...
 
 @type_check_only
@@ -458,7 +461,7 @@ class DtDescriptor:
     @overload
     def __get__(
         self, instance: Series[Period], owner: type[Series]
-    ) -> PeriodProperties: ...
+    ) -> PeriodProperties[Any]: ...
 
 @type_check_only
 class ArrayDescriptor:

pandas-stubs/core/indexes/period.pyi

@@ -1,7 +1,6 @@
 from collections.abc import Hashable
 import datetime
 from typing import (
-    Any,
     overload,
 )
 
@@ -30,7 +29,7 @@ from pandas._typing import (
 class PeriodIndex(DatetimeIndexOpsMixin[pd.Period, np.object_], PeriodIndexFieldOps):
     def __new__(
         cls,
-        data: AxesData[Any] | None = None,
+        data: AxesData | None = None,
         freq: Frequency | None = None,
         dtype: Dtype | None = None,
         copy: bool = False,

pandas-stubs/core/series.pyi

@@ -534,7 +534,7 @@ class Series(IndexOpsMixin[S1], ElementOpsMixin[S1], NDFrame):
             Scalar
             | _DataLike
             | Mapping[HashableT1, Any]
-            | BaseGroupBy
+            | BaseGroupBy[Any]
             | NaTType
             | NAType
             | None
@@ -1105,7 +1105,7 @@ class Series(IndexOpsMixin[S1], ElementOpsMixin[S1], NDFrame):
     def swaplevel(
         self, i: Level = -2, j: Level = -1, copy: _bool = True
     ) -> Series[S1]: ...
-    def reorder_levels(self, order: list[Any]) -> Series[S1]: ...
+    def reorder_levels(self, order: Sequence[int | np.integer]) -> Series[S1]: ...
     def explode(self, ignore_index: _bool = ...) -> Series[S1]: ...
     def unstack(
         self,

pandas-stubs/io/html.pyi

@@ -29,7 +29,7 @@ from pandas._typing import (
 def read_html(
     io: FilePath | ReadBuffer[str],
     *,
-    match: str | Pattern = ...,
+    match: str | Pattern[str] = ...,
     flavor: HTMLFlavors | Sequence[HTMLFlavors] | None = ...,
     header: int | Sequence[int] | None = ...,
     index_col: int | Sequence[int] | list[HashableT1] | None = ...,

pandas-stubs/io/parsers/readers.pyi

@@ -232,7 +232,7 @@ def read_table(
     header: int | Sequence[int] | Literal["infer"] | None = "infer",
     names: ListLikeHashable | None = ...,
     index_col: int | str | Sequence[str | int] | Literal[False] | None = None,
-    usecols: UsecolsArgType[HashableT] = None,
+    usecols: UsecolsArgType = None,
     dtype: DtypeArg | defaultdict[Any, Any] | None = None,
     engine: CSVEngine | None = None,
     converters: (
@@ -295,7 +295,7 @@ def read_table(
     header: int | Sequence[int] | Literal["infer"] | None = "infer",
     names: ListLikeHashable | None = ...,
     index_col: int | str | Sequence[str | int] | Literal[False] | None = None,
-    usecols: UsecolsArgType[HashableT] = None,
+    usecols: UsecolsArgType = None,
     dtype: DtypeArg | defaultdict[Any, Any] | None = None,
     engine: CSVEngine | None = None,
     converters: (
@@ -358,7 +358,7 @@ def read_table(
     header: int | Sequence[int] | Literal["infer"] | None = "infer",
     names: ListLikeHashable | None = ...,
     index_col: int | str | Sequence[str | int] | Literal[False] | None = None,
-    usecols: UsecolsArgType[HashableT] = None,
+    usecols: UsecolsArgType = None,
     dtype: DtypeArg | defaultdict[Any, Any] | None = None,
     engine: CSVEngine | None = None,
     converters: (

pandas-stubs/io/sql.pyi

@@ -33,8 +33,8 @@ _SQLStatement: TypeAlias = (
     str
     | sqlalchemy.sql.expression.Selectable
     | sqlalchemy.sql.expression.TextClause
-    | sqlalchemy.sql.Select
-    | FromStatement
+    | sqlalchemy.sql.Select[Any]
+    | FromStatement[Any]
     | sqlalchemy.sql.expression.UpdateBase
 )
 

pandas-stubs/io/xml.pyi

@@ -1,4 +1,5 @@
 from collections.abc import Sequence
+from typing import Any
 
 from pandas.core.frame import DataFrame
 
@@ -25,7 +26,7 @@ def read_xml(
     names: Sequence[str] | None = ...,
     dtype: DtypeArg | None = ...,
     converters: ConvertersArg | None = ...,
-    parse_dates: ParseDatesArg | None = ...,
+    parse_dates: ParseDatesArg[Any, Any] | None = ...,
     # encoding can not be None for lxml and StringIO input
     encoding: str | None = ...,
     parser: XMLParsers = ...,

pandas-stubs/plotting/_core.pyi

@@ -39,7 +39,7 @@ class _BoxPlotT(NamedTuple):
 _SingleColor: TypeAlias = (
     str | list[float] | tuple[float, float, float] | tuple[float, float, float, float]
 )
-_PlotAccessorColor: TypeAlias = str | list[_SingleColor] | dict[HashableT, _SingleColor]
+_PlotAccessorColor: TypeAlias = str | list[_SingleColor] | dict[Any, _SingleColor]
 
 # Keep in sync with `DataFrame.boxplot`
 @overload