TYP: enable reportMissingTypeArgument

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 = (
@@ -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

@@ -1,9 +1,6 @@
 from collections.abc import Hashable
 import datetime
-from typing import (
-    Any,
-    overload,
-)
+from typing import overload
 
 import numpy as np
 import pandas as pd
@@ -30,7 +27,7 @@ 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/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

pyproject.toml

@@ -298,7 +298,6 @@ include = ["tests", "pandas-stubs"]
 enableTypeIgnoreComments = false    # use pyright-specific ignores
 # disable subset of strict
 reportMissingParameterType = false
-reportMissingTypeArgument = false
 reportUnnecessaryTypeIgnoreComment = true
 reportUnknownArgumentType = false
 reportUnknownLambdaType = false

tests/frame/test_groupby.py

@@ -531,7 +531,7 @@ def sum_mean(x: pd.DataFrame) -> float:
     ):
         check(assert_type(df.groupby("col1").apply(lfunc), pd.Series), pd.Series)
 
-    def sum_to_list(x: pd.DataFrame) -> list:
+    def sum_to_list(x: pd.DataFrame) -> list[Any]:
         return x.sum().tolist()
 
     with pytest_warns_bounded(

tests/series/test_properties.py

@@ -1,3 +1,4 @@
+# pyright: reportMissingTypeArgument=false
 from typing import TYPE_CHECKING
 
 import numpy as np

tests/test_interval.py

@@ -2,6 +2,7 @@
 
 import numpy as np
 import pandas as pd
+from pandas.core.arrays.interval import IntervalArray
 from typing_extensions import assert_type
 
 from tests import (
@@ -125,6 +126,6 @@ def test_interval_array_contains() -> None:
     df = pd.DataFrame({"A": range(1, 10)})
     obj = pd.Interval(1, 4)
     ser = pd.Series(obj, index=df.index)
-    arr = ser.array
+    arr = check(assert_type(ser.array, IntervalArray), IntervalArray)
     check(assert_type(arr.contains(df["A"]), "pd.Series[bool]"), pd.Series, np.bool_)
     check(assert_type(arr.contains(3), np_1darray_bool), np_1darray_bool)

tests/test_resampler.py

@@ -6,17 +6,14 @@
 from typing import TypeAlias
 
 import numpy as np
-import pandas as pd
-from pandas import (
-    DataFrame,
-    Series,
-    date_range,
-)
+from pandas.core.frame import DataFrame
 from pandas.core.groupby.generic import (
     DataFrameGroupBy,
     SeriesGroupBy,
 )
+from pandas.core.indexes.datetimes import date_range
 from pandas.core.resample import DatetimeIndexResampler
+from pandas.core.series import Series
 from typing_extensions import assert_type
 
 from tests import (
@@ -396,7 +393,7 @@ def f(val: Series) -> Series:
 
 def test_aggregate_series_combinations() -> None:
     def s2series(val: Series) -> Series:
-        return pd.Series(val)
+        return Series(val)
 
     def s2scalar(val: Series) -> float:
         return float(val.mean())
@@ -418,7 +415,7 @@ def s2scalar(val: Series) -> float:
 
 def test_aggregate_frame_combinations() -> None:
     def df2frame(val: DataFrame) -> DataFrame:
-        return pd.DataFrame(val)
+        return DataFrame(val)
 
     def df2series(val: DataFrame) -> Series:
         return val.mean()