TYP/CI: enable more pyright checks

pandas-stubs/_libs/interval.pyi

@@ -87,63 +87,63 @@ class Interval(IntervalMixin, Generic[_OrderableT]):
         self: Interval[_OrderableTimesT], y: Timedelta
     ) -> Interval[_OrderableTimesT]: ...
     @overload
-    def __add__(self: Interval[int], y: int) -> Interval[int]: ...
-    @overload
-    def __add__(self: Interval[int], y: float) -> Interval[float]: ...
+    def __add__(
+        self: Interval[int], y: _OrderableScalarT
+    ) -> Interval[_OrderableScalarT]: ...
     @overload
     def __add__(self: Interval[float], y: Union[int, float]) -> Interval[float]: ...
     @overload
     def __radd__(
         self: Interval[_OrderableTimesT], y: Timedelta
     ) -> Interval[_OrderableTimesT]: ...
     @overload
-    def __radd__(self: Interval[int], y: int) -> Interval[int]: ...
-    @overload
-    def __radd__(self: Interval[int], y: float) -> Interval[float]: ...
+    def __radd__(
+        self: Interval[int], y: _OrderableScalarT
+    ) -> Interval[_OrderableScalarT]: ...
     @overload
     def __radd__(self: Interval[float], y: Union[int, float]) -> Interval[float]: ...
     @overload
     def __sub__(
         self: Interval[_OrderableTimesT], y: Timedelta
     ) -> Interval[_OrderableTimesT]: ...
     @overload
-    def __sub__(self: Interval[int], y: int) -> Interval[int]: ...
-    @overload
-    def __sub__(self: Interval[int], y: float) -> Interval[float]: ...
+    def __sub__(
+        self: Interval[int], y: _OrderableScalarT
+    ) -> Interval[_OrderableScalarT]: ...
     @overload
     def __sub__(self: Interval[float], y: Union[int, float]) -> Interval[float]: ...
     @overload
     def __rsub__(
         self: Interval[_OrderableTimesT], y: Timedelta
     ) -> Interval[_OrderableTimesT]: ...
     @overload
-    def __rsub__(self: Interval[int], y: int) -> Interval[int]: ...
-    @overload
-    def __rsub__(self: Interval[int], y: float) -> Interval[float]: ...
+    def __rsub__(
+        self: Interval[int], y: _OrderableScalarT
+    ) -> Interval[_OrderableScalarT]: ...
     @overload
     def __rsub__(self: Interval[float], y: Union[int, float]) -> Interval[float]: ...
     @overload
-    def __mul__(self: Interval[int], y: int) -> Interval[int]: ...
-    @overload
-    def __mul__(self: Interval[int], y: float) -> Interval[float]: ...
+    def __mul__(
+        self: Interval[int], y: _OrderableScalarT
+    ) -> Interval[_OrderableScalarT]: ...
     @overload
     def __mul__(self: Interval[float], y: Union[int, float]) -> Interval[float]: ...
     @overload
-    def __rmul__(self: Interval[int], y: int) -> Interval[int]: ...
-    @overload
-    def __rmul__(self: Interval[int], y: float) -> Interval[float]: ...
+    def __rmul__(
+        self: Interval[int], y: _OrderableScalarT
+    ) -> Interval[_OrderableScalarT]: ...
     @overload
     def __rmul__(self: Interval[float], y: Union[int, float]) -> Interval[float]: ...
     @overload
-    def __truediv__(self: Interval[int], y: int) -> Interval[int]: ...
-    @overload
-    def __truediv__(self: Interval[int], y: float) -> Interval[float]: ...
+    def __truediv__(
+        self: Interval[int], y: _OrderableScalarT
+    ) -> Interval[_OrderableScalarT]: ...
     @overload
     def __truediv__(self: Interval[float], y: Union[int, float]) -> Interval[float]: ...
     @overload
-    def __floordiv__(self: Interval[int], y: int) -> Interval[int]: ...
-    @overload
-    def __floordiv__(self: Interval[int], y: float) -> Interval[float]: ...
+    def __floordiv__(
+        self: Interval[int], y: _OrderableScalarT
+    ) -> Interval[_OrderableScalarT]: ...
     @overload
     def __floordiv__(
         self: Interval[float], y: Union[int, float]

pandas-stubs/core/algorithms.pyi

@@ -20,7 +20,7 @@ def factorize(
     values: Any,
     sort: bool = ...,
     na_sentinel: int = ...,
-    size_hint: Union[int, None] = None,
+    size_hint: Union[int, None] = ...,
 ) -> Tuple[np.ndarray, Union[np.ndarray, Index]]: ...
 def value_counts(
     values,

pandas-stubs/core/frame.pyi

@@ -950,7 +950,7 @@ class DataFrame(NDFrame, OpsMixin):
         **kwargs,
     ) -> DataFrame: ...
     def applymap(
-        self, func: Callable, na_action: Optional[Literal["ignore"]] = None, **kwargs
+        self, func: Callable, na_action: Optional[Literal["ignore"]] = ..., **kwargs
     ) -> DataFrame: ...
     def append(
         self,
@@ -993,7 +993,7 @@ class DataFrame(NDFrame, OpsMixin):
         method: Union[_str, Literal["pearson", "kendall", "spearman"]] = ...,
         min_periods: int = ...,
     ) -> DataFrame: ...
-    def cov(self, min_periods: Optional[int] = ..., ddof: int = 1) -> DataFrame: ...
+    def cov(self, min_periods: Optional[int] = ..., ddof: int = ...) -> DataFrame: ...
     def corrwith(
         self,
         other: Union[DataFrame, Series],
@@ -1009,7 +1009,7 @@ class DataFrame(NDFrame, OpsMixin):
     def count(
         self, axis: AxisType = ..., level: None = ..., numeric_only: _bool = ...
     ) -> Series: ...
-    def nunique(self, axis: AxisType = ..., dropna=True) -> Series: ...
+    def nunique(self, axis: AxisType = ..., dropna: bool = ...) -> Series: ...
     def idxmax(self, axis: AxisType = ..., skipna: _bool = ...) -> Series: ...
     def idxmin(self, axis: AxisType = ..., skipna: _bool = ...) -> Series: ...
     @overload
@@ -1731,7 +1731,7 @@ class DataFrame(NDFrame, OpsMixin):
         origin: Union[
             Timestamp, Literal["epoch", "start", "start_day", "end", "end_day"]
         ] = ...,
-        offset: Optional[Union[Timedelta, _str]] = None,
+        offset: Optional[Union[Timedelta, _str]] = ...,
     ) -> Resampler: ...
     def rfloordiv(
         self,

pandas-stubs/core/series.pyi

@@ -769,7 +769,7 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
         self,
         left: Union[Scalar, Sequence],
         right: Union[Scalar, Sequence],
-        inclusive: Literal["both", "neither", "left", "right"] = "both",
+        inclusive: Literal["both", "neither", "left", "right"] = ...,
     ) -> Series[_bool]: ...
     def isna(self) -> Series[_bool]: ...
     def isnull(self) -> Series[_bool]: ...
@@ -997,7 +997,7 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
         origin: Union[
             Timestamp, Literal["epoch", "start", "start_day", "end", "end_day"]
         ] = ...,
-        offset: Optional[Union[Timedelta, _str]] = None,
+        offset: Optional[Union[Timedelta, _str]] = ...,
     ) -> Resampler: ...
     def first(self, offset) -> Series[S1]: ...
     def last(self, offset) -> Series[S1]: ...

pandas-stubs/io/json/_normalize.pyi

@@ -20,11 +20,11 @@ def nested_to_record(
 ) -> Any: ...
 def json_normalize(
     data: Union[Dict, List[Dict]],
-    record_path: Optional[Union[str, List]] = None,
-    meta: Optional[Union[str, List[Union[str, List[str]]]]] = None,
-    meta_prefix: Optional[str] = None,
-    record_prefix: Optional[str] = None,
-    errors: str = "raise",
-    sep: str = ".",
-    max_level: Optional[int] = None,
+    record_path: Optional[Union[str, List]] = ...,
+    meta: Optional[Union[str, List[Union[str, List[str]]]]] = ...,
+    meta_prefix: Optional[str] = ...,
+    record_prefix: Optional[str] = ...,
+    errors: str = ...,
+    sep: str = ...,
+    max_level: Optional[int] = ...,
 ) -> DataFrame: ...

pandas-stubs/plotting/_misc.pyi

@@ -17,8 +17,8 @@ from pandas.core.series import Series
 def table(
     ax,
     data,
-    rowLabels=None,
-    colLabels=None,
+    rowLabels=...,
+    colLabels=...,
 ): ...
 def register() -> None: ...
 def deregister() -> None: ...

pyproject.toml

@@ -193,3 +193,7 @@ typeCheckingMode = "basic"
 stubPath = "."
 include = ["tests", "pandas-stubs"]
 useLibraryCodeForTypes = true
+# enable subset of "strict"
+reportDuplicateImport = true
+reportInvalidStubStatement = true
+reportOverlappingOverload = true