Add defaults for parameters

pandas-stubs/_libs/tslibs/nattype.pyi

@@ -74,8 +74,8 @@ class NaTType:
     def weekday(self) -> float: ...
     def isoweekday(self) -> float: ...
     def total_seconds(self) -> float: ...
-    def today(self, tz: _tzinfo | str | None = ...) -> NaTType: ...
-    def now(self, tz: _tzinfo | str | None = ...) -> NaTType: ...
+    def today(self, tz: _tzinfo | str | None = None) -> NaTType: ...
+    def now(self, tz: _tzinfo | str | None = None) -> NaTType: ...
     def to_pydatetime(self) -> NaTType: ...
     def date(self) -> NaTType: ...
     def round(

pandas-stubs/_libs/tslibs/timestamps.pyi

@@ -115,15 +115,15 @@ class Timestamp(datetime, SupportsIndex):
     @classmethod
     def utcfromtimestamp(cls, ts: float) -> Self: ...
     @classmethod
-    def today(cls, tz: _tzinfo | str | None = ...) -> Self: ...
+    def today(cls, tz: _tzinfo | str | None = None) -> Self: ...
     @classmethod
     def fromordinal(
         cls,
         ordinal: int,
         tz: _tzinfo | str | None = ...,
     ) -> Self: ...
     @classmethod
-    def now(cls, tz: _tzinfo | str | None = ...) -> Self: ...
+    def now(cls, tz: _tzinfo | str | None = None) -> Self: ...
     @classmethod
     def utcnow(cls) -> Self: ...
     # error: Signature of "combine" incompatible with supertype "datetime"
@@ -299,8 +299,8 @@ class Timestamp(datetime, SupportsIndex):
         ambiguous: _Ambiguous = ...,
         nonexistent: TimestampNonexistent = ...,
     ) -> Self: ...
-    def day_name(self, locale: str | None = ...) -> str: ...
-    def month_name(self, locale: str | None = ...) -> str: ...
+    def day_name(self, locale: str | None = None) -> str: ...
+    def month_name(self, locale: str | None = None) -> str: ...
     @property
     def day_of_week(self) -> int: ...
     @property

pandas-stubs/_testing/__init__.pyi

@@ -91,16 +91,16 @@ def assert_numpy_array_equal(
     right,
     strict_nan: bool = ...,
     check_dtype: bool | Literal["equiv"] = ...,
-    err_msg: str | None = ...,
-    check_same: Literal["copy", "same"] | None = ...,
+    err_msg: str | None = None,
+    check_same: Literal["copy", "same"] | None = None,
     obj: str = ...,
-    index_values: Index | np.ndarray | None = ...,
+    index_values: Index | np.ndarray | None = None,
 ) -> None: ...
 def assert_extension_array_equal(
     left: ExtensionArray,
     right: ExtensionArray,
     check_dtype: bool | Literal["equiv"] = ...,
-    index_values: Index | np.ndarray | None = ...,
+    index_values: Index | np.ndarray | None = None,
     check_exact: bool = ...,
     rtol: float = ...,
     atol: float = ...,

pandas-stubs/core/arrays/base.pyi

@@ -45,7 +45,7 @@ class ExtensionArray:
     def argsort(
         self, *, ascending: bool = ..., kind: str = ..., **kwargs
     ) -> np.ndarray: ...
-    def fillna(self, value=..., method=..., limit=...): ...
+    def fillna(self, value=..., method=None, limit=None): ...
     def dropna(self): ...
     def shift(self, periods: int = ..., fill_value: object = ...) -> Self: ...
     def unique(self): ...

pandas-stubs/core/arrays/categorical.pyi

@@ -68,7 +68,10 @@ class Categorical(ExtensionArray):
     def as_ordered(self) -> Categorical: ...
     def as_unordered(self) -> Categorical: ...
     def set_categories(
-        self, new_categories, ordered: bool | None = ..., rename: bool = ...
+        self,
+        new_categories,
+        ordered: bool | None = ...,
+        rename: bool = ...,
     ) -> Categorical: ...
     def rename_categories(self, new_categories) -> Categorical: ...
     def reorder_categories(
@@ -107,7 +110,7 @@ class Categorical(ExtensionArray):
         self, *, inplace: bool = ..., ascending: bool = ..., na_position: str = ...
     ): ...
     def view(self, dtype=...): ...
-    def fillna(self, value=..., method=..., limit=...): ...
+    def fillna(self, value=..., method=None, limit=None): ...
     def take(
         self, indexer: TakeIndexer, *, allow_fill: bool = ..., fill_value=...
     ) -> Categorical: ...

pandas-stubs/core/arrays/datetimelike.pyi

@@ -35,13 +35,22 @@ class TimelikeOps:
     def unit(self) -> TimeUnit: ...
     def as_unit(self, unit: TimeUnit) -> Self: ...
     def round(
-        self, freq, ambiguous: TimeAmbiguous = ..., nonexistent: TimeNonexistent = ...
+        self,
+        freq,
+        ambiguous: TimeAmbiguous = ...,
+        nonexistent: TimeNonexistent = ...,
     ): ...
     def floor(
-        self, freq, ambiguous: TimeAmbiguous = ..., nonexistent: TimeNonexistent = ...
+        self,
+        freq,
+        ambiguous: TimeAmbiguous = ...,
+        nonexistent: TimeNonexistent = ...,
     ): ...
     def ceil(
-        self, freq, ambiguous: TimeAmbiguous = ..., nonexistent: TimeNonexistent = ...
+        self,
+        freq,
+        ambiguous: TimeAmbiguous = ...,
+        nonexistent: TimeNonexistent = ...,
     ): ...
 
 class DatetimeLikeArrayMixin(ExtensionOpsMixin, ExtensionArray):
@@ -80,7 +89,7 @@ class DatetimeLikeArrayMixin(ExtensionOpsMixin, ExtensionArray):
     def value_counts(self, dropna: bool = ...): ...
     def map(self, mapper): ...
     def isna(self): ...
-    def fillna(self, value=..., method=..., limit=...): ...
+    def fillna(self, value=..., method=None, limit=None): ...
     @property
     def freq(self): ...
     @freq.setter

pandas-stubs/core/arrays/interval.pyi

@@ -32,13 +32,30 @@ class IntervalArray(IntervalMixin, ExtensionArray):
         cls, data, closed=..., dtype=..., copy: bool = ..., verify_integrity: bool = ...
     ): ...
     @classmethod
-    def from_breaks(cls, breaks, closed: str = ..., copy: bool = ..., dtype=...): ...
+    def from_breaks(
+        cls,
+        breaks,
+        closed: str = ...,
+        copy: bool = ...,
+        dtype=None,
+    ): ...
     @classmethod
     def from_arrays(
-        cls, left, right, closed: str = ..., copy: bool = ..., dtype=...
+        cls,
+        left,
+        right,
+        closed: str = ...,
+        copy: bool = ...,
+        dtype=...,
     ): ...
     @classmethod
-    def from_tuples(cls, data, closed: str = ..., copy: bool = ..., dtype=...): ...
+    def from_tuples(
+        cls,
+        data,
+        closed: str = ...,
+        copy: bool = ...,
+        dtype=None,
+    ): ...
     def __iter__(self): ...
     def __len__(self) -> int: ...
     @overload
@@ -48,7 +65,7 @@ class IntervalArray(IntervalMixin, ExtensionArray):
     def __setitem__(self, key, value) -> None: ...
     def __eq__(self, other): ...
     def __ne__(self, other): ...
-    def fillna(self, value=..., method=..., limit=...): ...
+    def fillna(self, value=..., method=None, limit=None): ...
     @property
     def dtype(self): ...
     def astype(self, dtype, copy: bool = ...): ...

pandas-stubs/core/arrays/string_.pyi

@@ -15,6 +15,6 @@ class StringArray(PandasArray):
     def __init__(self, values, copy: bool = ...) -> None: ...
     def __arrow_array__(self, type=...): ...
     def __setitem__(self, key, value) -> None: ...
-    def fillna(self, value=..., method=..., limit=...): ...
+    def fillna(self, value=..., method=None, limit=None): ...
     def astype(self, dtype, copy: bool = ...): ...
     def value_counts(self, dropna: bool = ...): ...

pandas-stubs/core/base.pyi

@@ -69,10 +69,18 @@ class IndexOpsMixin(OpsMixin, Generic[S1]):
     def max(self, axis=..., skipna: bool = ..., **kwargs): ...
     def min(self, axis=..., skipna: bool = ..., **kwargs): ...
     def argmax(
-        self, axis: AxisIndex | None = ..., skipna: bool = ..., *args, **kwargs
+        self,
+        axis: AxisIndex | None = ...,
+        skipna: bool = ...,
+        *args,
+        **kwargs,
     ) -> np.int64: ...
     def argmin(
-        self, axis: AxisIndex | None = ..., skipna: bool = ..., *args, **kwargs
+        self,
+        axis: AxisIndex | None = ...,
+        skipna: bool = ...,
+        *args,
+        **kwargs,
     ) -> np.int64: ...
     def tolist(self) -> list[S1]: ...
     def to_list(self) -> list[S1]: ...

pandas-stubs/core/computation/eval.pyi

@@ -23,6 +23,6 @@ def eval(
     global_dict: dict[str, Any] | None = ...,
     resolvers: list[Mapping] | None = ...,
     level: int = ...,
-    target: object | None = ...,
+    target: object | None = None,
     inplace: bool = ...,
 ) -> npt.NDArray | Scalar | DataFrame | Series | None: ...

pandas-stubs/core/dtypes/concat.pyi

@@ -9,5 +9,7 @@ from pandas import (
 _CatT = TypeVar("_CatT", bound=Categorical | CategoricalIndex | Series)
 
 def union_categoricals(
-    to_union: list[_CatT], sort_categories: bool = ..., ignore_order: bool = ...
+    to_union: list[_CatT],
+    sort_categories: bool = ...,
+    ignore_order: bool = ...,
 ) -> Categorical: ...