Add defaults for parameters

pandas-stubs/__init__.pyi

@@ -119,7 +119,6 @@ from pandas.io.api import (
     read_stata as read_stata,
     read_table as read_table,
     read_xml as read_xml,
-    to_pickle as to_pickle,
 )
 from pandas.io.json._normalize import json_normalize as json_normalize
 from pandas.tseries import offsets as offsets

pandas-stubs/_libs/tslibs/timestamps.pyi

@@ -157,7 +157,19 @@ class Timestamp(datetime, SupportsIndex):
     ) -> Timestamp: ...
     def astimezone(self, tz: _tzinfo | None = ...) -> Self: ...
     def ctime(self) -> str: ...
-    def isoformat(self, sep: str = "T", timespec: str = "auto") -> str: ...
+    def isoformat(  # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride]
+        self,
+        sep: str = "T",
+        timespec: Literal[
+            "auto",
+            "hours",
+            "minutes",
+            "seconds",
+            "milliseconds",
+            "microseconds",
+            "nanoseconds",
+        ] = "auto",
+    ) -> str: ...
     @classmethod
     def strptime(cls, date_string: Never, format: Never) -> Never: ...  # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride]
     def utcoffset(self) -> timedelta | None: ...

pandas-stubs/_testing/__init__.pyi

@@ -41,7 +41,7 @@ def assert_almost_equal(
     atol: float = 1e-8,
     **kwargs,
 ) -> None: ...
-def assert_dict_equal(left: dict, right: dict, compare_keys: bool = ...) -> None: ...
+def assert_dict_equal(left: dict, right: dict, compare_keys: bool = True) -> None: ...
 def assert_index_equal(
     left: Index,
     right: Index,
@@ -55,7 +55,7 @@ def assert_index_equal(
     obj: str = "Index",
 ) -> None: ...
 def assert_class_equal(
-    left: T, right: T, exact: bool | Literal["equiv"] = ..., obj: str = ...
+    left: T, right: T, exact: bool | Literal["equiv"] = True, obj: str = "Input"
 ) -> None: ...
 def assert_attr_equal(
     attr: str, left: object, right: object, obj: str = "Attributes"
@@ -78,13 +78,13 @@ def assert_interval_array_equal(
     obj: str = "IntervalArray",
 ) -> None: ...
 def assert_period_array_equal(
-    left: PeriodArray, right: PeriodArray, obj: str = ...
+    left: PeriodArray, right: PeriodArray, obj: str = "PeriodArray"
 ) -> None: ...
 def assert_datetime_array_equal(
-    left: DatetimeArray, right: DatetimeArray, check_freq: bool = ...
+    left: DatetimeArray, right: DatetimeArray, check_freq: bool = True
 ) -> None: ...
 def assert_timedelta_array_equal(
-    left: TimedeltaArray, right: TimedeltaArray, check_freq: bool = ...
+    left: TimedeltaArray, right: TimedeltaArray, check_freq: bool = True
 ) -> None: ...
 def assert_numpy_array_equal(
     left,
@@ -185,5 +185,5 @@ def assert_produces_warning(
 ) -> Generator[list[warnings.WarningMessage], None, None]: ...
 @contextmanager
 def ensure_clean(
-    filename: str | None = ..., return_filelike: bool = False, **kwargs: Any
+    filename: str | None = None, return_filelike: bool = False, **kwargs: Any
 ) -> Generator[str, None, None]: ...

pandas-stubs/core/algorithms.pyi

@@ -67,7 +67,7 @@ def value_counts(
     sort: bool = True,
     ascending: bool = False,
     normalize: bool = False,
-    bins: int | None = ...,
+    bins: int | None = None,
     dropna: bool = True,
 ) -> Series: ...
 def take(

pandas-stubs/core/computation/eval.pyi

@@ -18,11 +18,11 @@ from pandas._typing import (
 def eval(
     expr: str | BinOp,
     parser: Literal["pandas", "python"] = "pandas",
-    engine: Literal["python", "numexpr"] | None = "numexpr",
-    local_dict: dict[str, Any] | None = ...,
-    global_dict: dict[str, Any] | None = ...,
+    engine: Literal["python", "numexpr"] | None = ...,
+    local_dict: dict[str, Any] | None = None,
+    global_dict: dict[str, Any] | None = None,
     resolvers: list[Mapping] | None = ...,
-    level: int = ...,
+    level: int = 0,
     target: object | None = None,
     inplace: bool = False,
 ) -> npt.NDArray | Scalar | DataFrame | Series | None: ...

pandas-stubs/core/construction.pyi

@@ -7,6 +7,6 @@ from pandas.core.dtypes.dtypes import ExtensionDtype
 
 def array(
     data: Sequence[object],
-    dtype: str | np.dtype | ExtensionDtype | None = ...,
+    dtype: str | np.dtype | ExtensionDtype | None = None,
     copy: bool = True,
 ) -> ExtensionArray: ...

pandas-stubs/core/frame.pyi

@@ -476,12 +476,12 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         *,
         project_id: str | None = ...,
         chunksize: int | None = ...,
-        reauth: bool = False,
-        if_exists: Literal["fail", "replace", "append"] = "fail",
-        auth_local_webserver: bool = True,
+        reauth: bool = ...,
+        if_exists: Literal["fail", "replace", "append"] = ...,
+        auth_local_webserver: bool = ...,
         table_schema: list[dict[str, str]] | None = ...,
         location: str | None = ...,
-        progress_bar: bool = True,
+        progress_bar: bool = ...,
         # Google type, not available
         credentials: Any = ...,
     ) -> None: ...
@@ -490,10 +490,10 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         cls,
         data,
         index=...,
-        exclude=None,
-        columns=None,
-        coerce_float=False,
-        nrows=None,
+        exclude: Sequence[str] | None = None,
+        columns: Sequence[str] | None = None,
+        coerce_float: bool = False,
+        nrows: int | None = None,
     ) -> Self: ...
     def to_records(
         self,
@@ -1328,7 +1328,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         margins: _bool = False,
         dropna: _bool = True,
         margins_name: _str = "All",
-        observed: _bool = False,
+        observed: _bool = True,
         sort: _bool = True,
     ) -> Self: ...
     @overload
@@ -1352,7 +1352,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     def unstack(
         self,
         level: IndexLabel = -1,
-        fill_value: Scalar | None = ...,
+        fill_value: Scalar | None = None,
         sort: _bool = True,
     ) -> Self | Series: ...
     def melt(
@@ -1574,20 +1574,20 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         suffixes: Suffixes = ...,
         copy: _bool = True,
         indicator: _bool | _str = False,
-        validate: MergeValidate | None = ...,
+        validate: MergeValidate | None = None,
     ) -> Self: ...
     def round(
         self, decimals: int | dict | Series = ..., *args: Any, **kwargs: Any
     ) -> Self: ...
     def corr(
         self,
-        method: Literal["pearson", "kendall", "spearman"] = ...,
+        method: Literal["pearson", "kendall", "spearman"] = "pearson",
         min_periods: int = ...,
         numeric_only: _bool = False,
     ) -> Self: ...
     def cov(
         self,
-        min_periods: int | None = ...,
+        min_periods: int | None = None,
         ddof: int = 1,
         numeric_only: _bool = False,
     ) -> Self: ...
@@ -1599,15 +1599,8 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         method: Literal["pearson", "kendall", "spearman"] = ...,
         numeric_only: _bool = False,
     ) -> Series: ...
-    @overload
-    def count(
-        self, axis: Axis = ..., numeric_only: _bool = ..., *, level: Level
-    ) -> Self: ...
-    @overload
-    def count(
-        self, axis: Axis = ..., level: None = ..., numeric_only: _bool = ...
-    ) -> Series: ...
-    def nunique(self, axis: Axis = 0, dropna: bool = True) -> Series: ...
+    def count(self, axis: Axis = 0, numeric_only: _bool = ...) -> Series[int]: ...
+    def nunique(self, axis: Axis = 0, dropna: bool = ...) -> Series: ...
     def idxmax(
         self,
         axis: Axis = 0,
@@ -1653,7 +1646,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     ) -> Self: ...
     def to_period(
         self,
-        freq: _str | None = ...,
+        freq: _str | None = None,
         axis: Axis = 0,
         copy: _bool = True,
     ) -> Self: ...
@@ -1662,32 +1655,32 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     def plot(self) -> PlotAccessor: ...
     def hist(
         self,
-        column: _str | list[_str] | None = ...,
-        by: _str | ListLike | None = ...,
+        column: _str | list[_str] | None = None,
+        by: _str | ListLike | None = None,
         grid: _bool = True,
         xlabelsize: float | str | None = None,
         xrot: float | None = None,
         ylabelsize: float | str | None = None,
         yrot: float | None = None,
         ax: PlotAxes | None = None,
-        sharex: _bool = ...,
+        sharex: _bool = False,
         sharey: _bool = False,
-        figsize: tuple[float, float] | None = ...,
-        layout: tuple[int, int] | None = ...,
+        figsize: tuple[float, float] | None = None,
+        layout: tuple[int, int] | None = None,
         bins: int | list = 10,
         backend: _str | None = None,
         **kwargs: Any,
     ): ...
     def boxplot(
         self,
-        column: _str | list[_str] | None = ...,
-        by: _str | ListLike | None = ...,
-        ax: PlotAxes | None = ...,
-        fontsize: float | _str | None = ...,
+        column: _str | list[_str] | None = None,
+        by: _str | ListLike | None = None,
+        ax: PlotAxes | None = None,
+        fontsize: float | _str | None = None,
         rot: float = 0,
         grid: _bool = True,
-        figsize: tuple[float, float] | None = ...,
-        layout: tuple[int, int] | None = ...,
+        figsize: tuple[float, float] | None = None,
+        layout: tuple[int, int] | None = None,
         return_type: Literal["axes", "dict", "both"] | None = "axes",
         backend: _str | None = None,
         **kwargs: Any,
@@ -1804,14 +1797,15 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     def at_time(
         self,
         time: _str | dt.time,
-        asof: _bool = ...,
+        asof: _bool = False,
         axis: Axis | None = 0,
     ) -> Self: ...
     @final
     def between_time(
         self,
         start_time: _str | dt.time,
         end_time: _str | dt.time,
+        inclusive: IntervalClosedType = ...,
         axis: Axis | None = 0,
     ) -> Self: ...
     @overload
@@ -1906,28 +1900,28 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     def copy(self, deep: _bool = True) -> Self: ...
     def cummax(
         self,
-        axis: Axis | None = 0,
+        axis: Axis | None = None,
         skipna: _bool = True,
         *args: Any,
         **kwargs: Any,
     ) -> Self: ...
     def cummin(
         self,
-        axis: Axis | None = 0,
+        axis: Axis | None = None,
         skipna: _bool = True,
         *args: Any,
         **kwargs: Any,
     ) -> Self: ...
     def cumprod(
         self,
-        axis: Axis | None = 0,
+        axis: Axis | None = None,
         skipna: _bool = True,
         *args: Any,
         **kwargs: Any,
     ) -> Self: ...
     def cumsum(
         self,
-        axis: Axis | None = 0,
+        axis: Axis | None = None,
         skipna: _bool = True,
         *args: Any,
         **kwargs: Any,
@@ -2013,8 +2007,6 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         level: Level | None = ...,
         fill_value: float | None = None,
     ) -> Self: ...
-    # def from_dict
-    # def from_records
     def ge(self, other, axis: Axis = "columns", level: Level | None = ...) -> Self: ...
     @overload
     def get(self, key: Hashable, default: None = ...) -> Series | None: ...
@@ -2124,15 +2116,13 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         self,
         axis: Axis | None = ...,
         skipna: _bool | None = True,
-        level: None = ...,
         numeric_only: _bool = False,
         **kwargs: Any,
     ) -> Series: ...
     def min(
         self,
         axis: Axis | None = ...,
         skipna: _bool | None = True,
-        level: None = ...,
         numeric_only: _bool = False,
         **kwargs: Any,
     ) -> Series: ...
@@ -2178,7 +2168,6 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         self,
         axis: Axis | None = ...,
         skipna: _bool | None = True,
-        level: None = ...,
         numeric_only: _bool = False,
         min_count: int = 0,
         **kwargs: Any,
@@ -2187,7 +2176,6 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         self,
         axis: Axis | None = ...,
         skipna: _bool = True,
-        level: None = ...,
         numeric_only: _bool = False,
         min_count: int = 0,
         **kwargs: Any,
@@ -2350,7 +2338,6 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         self,
         axis: Axis | None = ...,
         skipna: _bool | None = True,
-        level: None = ...,
         ddof: int = 1,
         numeric_only: _bool = False,
         **kwargs: Any,
@@ -2361,7 +2348,6 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         self,
         axis: Axis | None = ...,
         skipna: _bool | None = True,
-        level: None = ...,
         numeric_only: _bool = False,
         **kwargs: Any,
     ) -> Series: ...
@@ -2371,7 +2357,6 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         self,
         axis: Axis = ...,
         skipna: _bool = True,
-        level: None = ...,
         ddof: int = 1,
         numeric_only: _bool = False,
         **kwargs: Any,
@@ -2392,9 +2377,8 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     ) -> Self: ...
     def sum(
         self,
-        axis: Axis | None = ...,
+        axis: Axis = ...,
         skipna: _bool | None = True,
-        level: None = ...,
         numeric_only: _bool = False,
         min_count: int = 0,
         **kwargs: Any,
@@ -2560,9 +2544,8 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     ) -> Self: ...
     def var(
         self,
-        axis: Axis | None = ...,
+        axis: Axis = ...,
         skipna: _bool | None = True,
-        level: None = ...,
         ddof: int = 1,
         numeric_only: _bool = False,
         **kwargs: Any,