TYP: list, Sequence, etc.

pandas-stubs/_libs/tslibs/offsets.pyi

@@ -205,15 +205,15 @@ class _CustomBusinessMonth(SingleConstructorOffset):
         n: int = ...,
         normalize: bool = ...,
         offset: timedelta = ...,
-        holidays: list | None = ...,
+        holidays: list[Any] | None = ...,
     ) -> None: ...
 
 class CustomBusinessDay(BusinessDay):
     def __init__(
         self,
         n: int = ...,
         normalize: bool = ...,
-        holidays: list = ...,
+        holidays: list[Any] = ...,
         calendar: AbstractHolidayCalendar | np.busdaycalendar = ...,
     ) -> None: ...
 
@@ -225,7 +225,7 @@ class CustomBusinessHour(BusinessHour):
         start: str | time | Collection[str | time] = ...,
         end: str | time | Collection[str | time] = ...,
         offset: timedelta = ...,
-        holidays: list | None = ...,
+        holidays: list[Any] | None = ...,
     ) -> None: ...
 
 class CustomBusinessMonthEnd(_CustomBusinessMonth): ...

pandas-stubs/_typing.pyi

@@ -182,7 +182,7 @@ Level: TypeAlias = Hashable
 Shape: TypeAlias = tuple[int, ...]
 Suffixes: TypeAlias = tuple[str | None, str | None] | list[str | None]
 Ordered: TypeAlias = bool | None
-JSONSerializable: TypeAlias = PythonScalar | list | dict
+JSONSerializable: TypeAlias = PythonScalar | list[Any] | dict
 Frequency: TypeAlias = str | BaseOffset
 PeriodFrequency: TypeAlias = (
     str
@@ -966,7 +966,7 @@ ListLikeT = TypeVar("ListLikeT", bound=ListLike)
 ListLikeExceptSeriesAndStr: TypeAlias = (
     MutableSequence[Any] | np_1darray | tuple[Any, ...] | Index
 )
-ListLikeU: TypeAlias = Sequence | np_1darray | Series | Index
+ListLikeU: TypeAlias = Sequence[Any] | np_1darray | Series | Index
 ListLikeHashable: TypeAlias = (
     MutableSequence[HashableT] | np_1darray | tuple[HashableT, ...] | range
 )

pandas-stubs/core/frame.pyi

@@ -552,15 +552,15 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         *,
         into: MutableMapping | type[MutableMapping],
         index: bool = ...,
-    ) -> MutableMapping[str, list]: ...
+    ) -> MutableMapping[str, list[Any]]: ...
     @overload
     def to_dict(
         self,
         orient: Literal["split", "tight"],
         *,
         into: type[dict] = ...,
         index: bool = ...,
-    ) -> dict[str, list]: ...
+    ) -> dict[str, list[Any]]: ...
     @classmethod
     def from_records(
         cls,
@@ -1256,7 +1256,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         keep: NsmallestNlargestKeep = "first",
     ) -> Self: ...
     def swaplevel(self, i: Level = ..., j: Level = ..., axis: Axis = 0) -> Self: ...
-    def reorder_levels(self, order: list, axis: Axis = 0) -> Self: ...
+    def reorder_levels(self, order: list[int] | list[str], axis: Axis = 0) -> Self: ...
     def compare(
         self,
         other: DataFrame,
@@ -1796,7 +1796,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     def hist(
         self,
         by: _str | ListLike | None = None,
-        bins: int | list = 10,
+        bins: int | Sequence[int] = 10,
         *,
         grid: _bool = True,
         xlabelsize: float | str | None = None,

pandas-stubs/core/groupby/generic.pyi

@@ -219,15 +219,17 @@ _TT = TypeVar("_TT", bound=Literal[True, False])
 class DFCallable1(Protocol[P]):  # ty: ignore[invalid-argument-type]
     def __call__(
         self, df: DataFrame, /, *args: P.args, **kwargs: P.kwargs
-    ) -> Scalar | list | dict: ...
+    ) -> Scalar | list[Any] | dict: ...
 
 class DFCallable2(Protocol[P]):  # ty: ignore[invalid-argument-type]
     def __call__(
         self, df: DataFrame, /, *args: P.args, **kwargs: P.kwargs
     ) -> DataFrame | Series: ...
 
 class DFCallable3(Protocol[P]):  # ty: ignore[invalid-argument-type]
-    def __call__(self, df: Iterable, /, *args: P.args, **kwargs: P.kwargs) -> float: ...
+    def __call__(
+        self, df: Iterable[Any], /, *args: P.args, **kwargs: P.kwargs
+    ) -> float: ...
 
 class DataFrameGroupBy(GroupBy[DataFrame], Generic[ByT, _TT]):
     # error: Overload 3 for "apply" will never be used because its parameters overlap overload 1

pandas-stubs/core/groupby/groupby.pyi

@@ -334,7 +334,7 @@ class GroupBy(BaseGroupBy[NDFrameT]):
         n: int | None = None,
         frac: float | None = None,
         replace: bool = False,
-        weights: Sequence | Series | None = ...,
+        weights: Sequence[float] | Series | None = ...,
         random_state: RandomState | None = ...,
     ) -> NDFrameT: ...
 

pandas-stubs/core/indexes/base.pyi

@@ -477,7 +477,7 @@ class Index(IndexOpsMixin[S1], ElementOpsMixin[S1]):
     def intersection(
         self, other: list[S1] | Self, sort: bool | None = False
     ) -> Self: ...
-    def difference(self, other: list | Self, sort: bool | None = None) -> Self: ...
+    def difference(self, other: list[Any] | Self, sort: bool | None = None) -> Self: ...
     def symmetric_difference(
         self,
         other: list[S1] | Self,

pandas-stubs/core/indexes/multi.pyi

@@ -1,5 +1,4 @@
 from collections.abc import (
-    Callable,
     Collection,
     Hashable,
     Iterable,
@@ -91,16 +90,6 @@ class MultiIndex(Index):
     def memory_usage(self, deep: bool = False) -> int: ...
     @property
     def nbytes(self) -> int: ...
-    def format(
-        self,
-        name: bool | None = ...,
-        formatter: Callable[..., Any] | None = ...,
-        na_rep: str | None = ...,
-        names: bool = ...,
-        space: int = ...,
-        sparsify: bool | None = ...,
-        adjoin: bool = ...,
-    ) -> list: ...
     def __len__(self) -> int: ...
     @property
     def values(self): ...

pandas-stubs/core/reshape/pivot.pyi

@@ -28,6 +28,7 @@ from pandas._typing import (
     Label,
     Scalar,
     ScalarT,
+    SequenceNotStr,
     np_ndarray,
 )
 
@@ -61,6 +62,7 @@ _PivotTableColumnsTypes: TypeAlias = (
 _PivotTableValuesTypes: TypeAlias = Label | Sequence[HashableT3] | None
 
 _ExtendedAnyArrayLike: TypeAlias = AnyArrayLike | ArrayLike
+_Values: TypeAlias = SequenceNotStr[Any] | _ExtendedAnyArrayLike
 
 @overload
 def pivot_table(
@@ -123,9 +125,9 @@ def pivot(
 ) -> DataFrame: ...
 @overload
 def crosstab(
-    index: list | _ExtendedAnyArrayLike | list[Sequence | _ExtendedAnyArrayLike],
-    columns: list | _ExtendedAnyArrayLike | list[Sequence | _ExtendedAnyArrayLike],
-    values: list | _ExtendedAnyArrayLike,
+    index: _Values | list[_Values],
+    columns: _Values | list[_Values],
+    values: _Values,
     rownames: list[HashableT1] | None = ...,
     colnames: list[HashableT2] | None = ...,
     *,
@@ -137,8 +139,8 @@ def crosstab(
 ) -> DataFrame: ...
 @overload
 def crosstab(
-    index: list | _ExtendedAnyArrayLike | list[Sequence | _ExtendedAnyArrayLike],
-    columns: list | _ExtendedAnyArrayLike | list[Sequence | _ExtendedAnyArrayLike],
+    index: _Values | list[_Values],
+    columns: _Values | list[_Values],
     values: None = None,
     rownames: list[HashableT1] | None = ...,
     colnames: list[HashableT2] | None = ...,

pandas-stubs/core/series.pyi

@@ -11,6 +11,7 @@ from collections.abc import (
     Mapping,
     MutableMapping,
     Sequence,
+    Set as AbstractSet,
     ValuesView,
 )
 from datetime import (
@@ -564,8 +565,6 @@ class Series(IndexOpsMixin[S1], ElementOpsMixin[S1], NDFrame):
     def __array__(  # ty: ignore[invalid-method-override]
         self, dtype: _str | np.dtype = ..., copy: bool | None = ...
     ) -> np_1darray: ...
-    @property
-    def axes(self) -> list: ...
     @final
     def __getattr__(self, name: _str) -> S1: ...
 
@@ -1171,7 +1170,7 @@ class Series(IndexOpsMixin[S1], ElementOpsMixin[S1], NDFrame):
     def apply(
         self,
         func: Callable[
-            ..., Scalar | Sequence | set | Mapping | NAType | frozenset | None
+            ..., Scalar | Sequence[Any] | AbstractSet[Any] | Mapping | NAType | None
         ],
         convertDType: _bool = ...,
         args: tuple[Any, ...] = ...,
@@ -1373,7 +1372,7 @@ class Series(IndexOpsMixin[S1], ElementOpsMixin[S1], NDFrame):
         ylabelsize: float | _str | None = None,
         yrot: float | None = None,
         figsize: tuple[float, float] | None = None,
-        bins: int | Sequence = 10,
+        bins: int | Sequence[int] = 10,
         backend: _str | None = None,
         legend: _bool = False,
         **kwargs: Any,

pandas-stubs/io/formats/style.pyi

@@ -50,7 +50,7 @@ from pandas.io.formats.style_render import (
 class _SeriesFunc(Protocol):
     def __call__(
         self, series: Series, /, *args: Any, **kwargs: Any
-    ) -> list | Series: ...
+    ) -> list[Any] | Series: ...
 
 class _DataFrameFunc(Protocol):
     def __call__(
@@ -233,7 +233,7 @@ class Styler(StylerRenderer):
     @overload
     def apply(
         self,
-        func: _SeriesFunc | Callable[[Series], list | Series],
+        func: _SeriesFunc | Callable[[Series], list[Any] | Series],
         axis: Axis = ...,
         subset: Subset | None = ...,
         **kwargs: Any,

pandas-stubs/io/json/_normalize.pyi

@@ -4,7 +4,7 @@ from pandas._typing import IgnoreRaise
 
 def json_normalize(
     data: dict | list[dict],
-    record_path: str | list | None = None,
+    record_path: str | list[str] | None = None,
     meta: str | list[str | list[str]] | None = None,
     meta_prefix: str | None = None,
     record_prefix: str | None = None,

pandas-stubs/io/parsers/readers.pyi

@@ -460,7 +460,7 @@ class TextFileReader(abc.Iterator):
     squeeze: bool
     def __init__(
         self,
-        f: FilePath | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | list,
+        f: FilePath | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | list[str],
         engine: CSVEngine | None = ...,
         **kwds: Any,
     ) -> None: ...

pandas-stubs/io/pytables.pyi

@@ -220,10 +220,10 @@ class HDFStore:
             "namereplace",
         ] = "strict",
     ) -> None: ...
-    def groups(self) -> list: ...
+    def groups(self) -> list[object]: ...
     def walk(
         self, where: str = "/"
-    ) -> Generator[tuple[str, list, list[str]], None, None]: ...
+    ) -> Generator[tuple[str, list[str], list[str]], None, None]: ...
     def info(self) -> str: ...
 
 class TableIterator:

pandas-stubs/plotting/_core.pyi

@@ -454,7 +454,7 @@ class PlotAccessor:
         x: Hashable,
         y: Hashable,
         C: Hashable | None = ...,
-        reduce_C_function: Callable[[list], float] | None = ...,
+        reduce_C_function: Callable[[list[Any]], float] | None = ...,
         gridsize: int | tuple[int, int] | None = ...,
         *,
         subplots: Literal[False] | None = ...,
@@ -466,7 +466,7 @@ class PlotAccessor:
         x: Hashable,
         y: Hashable,
         C: Hashable | None = ...,
-        reduce_C_function: Callable[[list], float] | None = ...,
+        reduce_C_function: Callable[[list[Any]], float] | None = ...,
         gridsize: int | tuple[int, int] | None = ...,
         *,
         subplots: Literal[True],

tests/series/test_series.py

@@ -900,7 +900,7 @@ def retseries(x: float) -> float:
 
     check(assert_type(s.apply(retseries).tolist(), list), list)
 
-    def retlist(x: float) -> list:
+    def retlist(x: float) -> list[float]:
         return [x]
 
     check(assert_type(s.apply(retlist), pd.Series), pd.Series, list)

tests/test_pandas.py

@@ -1611,7 +1611,7 @@ def test_merge_asof() -> None:
 
 def test_crosstab_args() -> None:
     a = [1, 2, 3, 4, 1, 2, 3, 4, 1, 2]
-    b: list = [4, 5, 6, 3, 4, 3, 5, 6, 5, 5]
+    b: list[Any] = [4, 5, 6, 3, 4, 3, 5, 6, 5, 5]
     c = [1, 3, 2, 3, 1, 2, 3, 1, 3, 2]
     check(assert_type(pd.crosstab(a, b), pd.DataFrame), pd.DataFrame)
     check(assert_type(pd.crosstab(a, [b, c]), pd.DataFrame), pd.DataFrame)