address comments

Author: yangdanny97

pandas-stubs/_testing/__init__.pyi

@@ -5,7 +5,6 @@ from collections.abc import (
 )
 from contextlib import contextmanager
 from typing import (
-    Any,
     Literal,
     overload,
 )
@@ -81,10 +80,16 @@ def assert_period_array_equal(
     left: PeriodArray, right: PeriodArray, obj: str = "PeriodArray"
 ) -> None: ...
 def assert_datetime_array_equal(
-    left: DatetimeArray, right: DatetimeArray, check_freq: bool = True
+    left: DatetimeArray,
+    right: DatetimeArray,
+    obj: str = "DatetimeArray",
+    check_freq: bool = True,
 ) -> None: ...
 def assert_timedelta_array_equal(
-    left: TimedeltaArray, right: TimedeltaArray, check_freq: bool = True
+    left: TimedeltaArray,
+    right: TimedeltaArray,
+    obj: str = "TimedeltaArray",
+    check_freq: bool = True,
 ) -> None: ...
 def assert_numpy_array_equal(
     left,
@@ -184,6 +189,4 @@ def assert_produces_warning(
     match: str | None = None,
 ) -> Generator[list[warnings.WarningMessage], None, None]: ...
 @contextmanager
-def ensure_clean(
-    filename: str | None = None, return_filelike: bool = False, **kwargs: Any
-) -> Generator[str, None, None]: ...
+def ensure_clean(filename: str | None = None) -> Generator[str, None, None]: ...

pandas-stubs/core/frame.pyi

@@ -470,28 +470,13 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         into: type[dict] = ...,
         index: bool = ...,
     ) -> dict[Hashable, Any]: ...
-    def to_gbq(
-        self,
-        destination_table: str,
-        *,
-        project_id: str | None = ...,
-        chunksize: int | None = ...,
-        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 = ...,
-        # Google type, not available
-        credentials: Any = ...,
-    ) -> None: ...
     @classmethod
     def from_records(
         cls,
         data,
         index=...,
-        exclude: Sequence[str] | None = None,
-        columns: Sequence[str] | None = None,
+        exclude: SequenceNotStr[str] | None = None,
+        columns: SequenceNotStr[str] | None = None,
         coerce_float: bool = False,
         nrows: int | None = None,
     ) -> Self: ...
@@ -1596,11 +1581,11 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         other: DataFrame | Series,
         axis: Axis | None = 0,
         drop: _bool = False,
-        method: Literal["pearson", "kendall", "spearman"] = ...,
+        method: Literal["pearson", "kendall", "spearman"] = "pearson",
         numeric_only: _bool = False,
     ) -> Series: ...
-    def count(self, axis: Axis = 0, numeric_only: _bool = ...) -> Series[int]: ...
-    def nunique(self, axis: Axis = 0, dropna: bool = ...) -> Series: ...
+    def count(self, axis: Axis = 0, numeric_only: _bool = False) -> Series[int]: ...
+    def nunique(self, axis: Axis = 0, dropna: bool = True) -> Series[int]: ...
     def idxmax(
         self,
         axis: Axis = 0,
@@ -1681,7 +1666,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         grid: _bool = True,
         figsize: tuple[float, float] | None = None,
         layout: tuple[int, int] | None = None,
-        return_type: Literal["axes", "dict", "both"] | None = "axes",
+        return_type: Literal["axes", "dict", "both"] | None = None,
         backend: _str | None = None,
         **kwargs: Any,
     ): ...
@@ -1805,7 +1790,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         self,
         start_time: _str | dt.time,
         end_time: _str | dt.time,
-        inclusive: IntervalClosedType = ...,
+        inclusive: IntervalClosedType = "both",
         axis: Axis | None = 0,
     ) -> Self: ...
     @overload
@@ -2377,7 +2362,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     ) -> Self: ...
     def sum(
         self,
-        axis: Axis = ...,
+        axis: Axis = 0,
         skipna: _bool | None = True,
         numeric_only: _bool = False,
         min_count: int = 0,

pandas-stubs/core/indexes/datetimelike.pyi

@@ -18,16 +18,16 @@ class DatetimeIndexOpsMixin(ExtensionIndex[S1]):
     @property
     def is_all_dates(self) -> bool: ...
     def min(
-        self, axis: AxisIndex | None = ..., skipna: bool = ..., *args, **kwargs
+        self, axis: AxisIndex | None = None, skipna: bool = True, *args, **kwargs
     ) -> S1: ...
     def argmin(
-        self, axis: AxisIndex | None = ..., skipna: bool = ..., *args, **kwargs
+        self, axis: AxisIndex | None = None, skipna: bool = True, *args, **kwargs
     ) -> np.int64: ...
     def max(
-        self, axis: AxisIndex | None = ..., skipna: bool = ..., *args, **kwargs
+        self, axis: AxisIndex | None = None, skipna: bool = True, *args, **kwargs
     ) -> S1: ...
     def argmax(
-        self, axis: AxisIndex | None = ..., skipna: bool = ..., *args, **kwargs
+        self, axis: AxisIndex | None = None, skipna: bool = True, *args, **kwargs
     ) -> np.int64: ...
     def __rsub__(  # type: ignore[override]
         self, other: DatetimeIndexOpsMixin

pandas-stubs/core/series.pyi

@@ -1145,7 +1145,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
         self,
         periods: int | Sequence[int] = ...,
         freq: DateOffset | timedelta | _str | None = None,
-        axis: Axis | None = None,
+        axis: Axis = 0,
         fill_value: Scalar | NAType | None = ...,
     ) -> Series: ...
     def info(
@@ -1984,9 +1984,9 @@ class Series(IndexOpsMixin[S1], NDFrame):
         min_periods: int = 0,
         adjust: _bool = True,
         ignore_na: _bool = False,
-        axis: Axes = ...,
-        times: np.ndarray | Series | None = ...,
-        method: CalculationMethod = ...,
+        axis: Axis = 0,
+        times: np.ndarray | Series | None = None,
+        method: CalculationMethod = "single",
     ) -> ExponentialMovingWindow[Series]: ...
     @final
     def expanding(