pandas 2.0 removals for NDFrame and subclasses (#930)

* Remove pandas 2.0 deprecations from NDFrame and subclasses

* Fix pyright

* Fix matplotlib warnings

* Revert "Fix matplotlib warnings"

This reverts commit f324108.

* Revert "Fix pyright"

This reverts commit 16d331c.

pandas-stubs/core/frame.pyi

@@ -668,7 +668,6 @@ class DataFrame(NDFrame, OpsMixin):
         allow_duplicates: _bool = ...,
     ) -> None: ...
     def assign(self, **kwargs) -> DataFrame: ...
-    def lookup(self, row_labels: Sequence, col_labels: Sequence) -> np.ndarray: ...
     def align(
         self,
         other: NDFrameT,
@@ -1691,7 +1690,6 @@ class DataFrame(NDFrame, OpsMixin):
         percentiles: list[float] | None = ...,
         include: Literal["all"] | list[Dtype] | None = ...,
         exclude: list[Dtype] | None = ...,
-        datetime_is_numeric: _bool | None = ...,
     ) -> DataFrame: ...
     def div(
         self,
@@ -1850,7 +1848,6 @@ class DataFrame(NDFrame, OpsMixin):
         inplace: _bool = ...,
         axis: Axis | None = ...,
         level: Level | None = ...,
-        try_cast: _bool = ...,
     ) -> DataFrame: ...
     def max(
         self,
@@ -2107,7 +2104,6 @@ class DataFrame(NDFrame, OpsMixin):
         numeric_only: _bool = ...,
         **kwargs,
     ) -> Series: ...
-    def slice_shift(self, periods: int = ..., axis: Axis = ...) -> DataFrame: ...
     def squeeze(self, axis: Axis | None = ...): ...
     def std(
         self,
@@ -2143,14 +2139,7 @@ class DataFrame(NDFrame, OpsMixin):
     ) -> Series: ...
     def swapaxes(self, axis1: Axis, axis2: Axis, copy: _bool = ...) -> DataFrame: ...
     def tail(self, n: int = ...) -> DataFrame: ...
-    def take(
-        self,
-        indices: list,
-        axis: Axis = ...,
-        is_copy: _bool | None = ...,
-        **kwargs,
-    ) -> DataFrame: ...
-    def tshift(self, periods: int = ..., freq=..., axis: Axis = ...) -> DataFrame: ...
+    def take(self, indices: list, axis: Axis = ..., **kwargs) -> DataFrame: ...
     def to_clipboard(
         self, excel: _bool = ..., sep: _str | None = ..., **kwargs
     ) -> None: ...
@@ -2289,7 +2278,6 @@ class DataFrame(NDFrame, OpsMixin):
         axis: Axis | None = ...,
         copy: _bool = ...,
     ) -> DataFrame: ...
-    # def tshift
     def tz_convert(
         self,
         tz,
@@ -2329,7 +2317,6 @@ class DataFrame(NDFrame, OpsMixin):
         inplace: _bool = ...,
         axis: Axis | None = ...,
         level: Level | None = ...,
-        try_cast: _bool = ...,
     ) -> DataFrame: ...
     # Move from generic because Series is Generic and it returns Series[bool] there
     def __invert__(self) -> DataFrame: ...

pandas-stubs/core/generic.pyi

@@ -197,7 +197,6 @@ class NDFrame(indexing.IndexingMixin):
         self,
         buf: FilePath | WriteBuffer[str],
         columns: list[_str] | None = ...,
-        col_space: int | None = ...,
         header: _bool | list[_str] = ...,
         index: _bool = ...,
         na_rep: _str = ...,
@@ -223,7 +222,6 @@ class NDFrame(indexing.IndexingMixin):
         self,
         buf: None = ...,
         columns: list[_str] | None = ...,
-        col_space: int | None = ...,
         header: _bool | list[_str] = ...,
         index: _bool = ...,
         na_rep: _str = ...,
@@ -294,9 +292,7 @@ class NDFrame(indexing.IndexingMixin):
         errors: _str = ...,
         storage_options: StorageOptions = ...,
     ) -> _str: ...
-    def take(
-        self, indices, axis=..., is_copy: _bool | None = ..., **kwargs
-    ) -> Self: ...
+    def take(self, indices, axis=..., **kwargs) -> Self: ...
     def __delitem__(self, idx: Hashable) -> None: ...
     def reindex_like(
         self,
@@ -474,7 +470,6 @@ class NDFrame(indexing.IndexingMixin):
         inplace: _bool = ...,
         axis=...,
         level=...,
-        try_cast: _bool = ...,
     ): ...
     def mask(
         self,
@@ -484,11 +479,8 @@ class NDFrame(indexing.IndexingMixin):
         inplace: _bool = ...,
         axis=...,
         level=...,
-        try_cast: _bool = ...,
     ): ...
     def shift(self, periods=..., freq=..., axis=..., fill_value=...) -> Self: ...
-    def slice_shift(self, periods: int = ..., axis=...) -> Self: ...
-    def tshift(self, periods: int = ..., freq=..., axis=...) -> Self: ...
     def truncate(self, before=..., after=..., axis=..., copy: _bool = ...) -> Self: ...
     def tz_convert(self, tz, axis=..., level=..., copy: _bool = ...) -> Self: ...
     def tz_localize(
@@ -501,13 +493,7 @@ class NDFrame(indexing.IndexingMixin):
         nonexistent: str = ...,
     ) -> Self: ...
     def abs(self) -> Self: ...
-    def describe(
-        self,
-        percentiles=...,
-        include=...,
-        exclude=...,
-        datetime_is_numeric: _bool | None = ...,
-    ) -> NDFrame: ...
+    def describe(self, percentiles=..., include=..., exclude=...) -> NDFrame: ...
     def pct_change(
         self, periods=..., fill_method=..., limit=..., freq=..., **kwargs
     ) -> Self: ...

pandas-stubs/core/series.pyi

@@ -372,11 +372,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
     @property
     def axes(self) -> list: ...
     def take(
-        self,
-        indices: Sequence,
-        axis: AxisIndex = ...,
-        is_copy: _bool | None = ...,
-        **kwargs,
+        self, indices: Sequence, axis: AxisIndex = ..., **kwargs
     ) -> Series[S1]: ...
     def __getattr__(self, name: _str) -> S1: ...
     @overload
@@ -1429,7 +1425,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         inplace: _bool = ...,
         axis: AxisIndex | None = ...,
         level: Level | None = ...,
-        try_cast: _bool = ...,
     ) -> Series[S1]: ...
     def mask(
         self,
@@ -1445,11 +1440,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         inplace: _bool = ...,
         axis: AxisIndex | None = ...,
         level: Level | None = ...,
-        try_cast: _bool = ...,
-    ) -> Series[S1]: ...
-    def slice_shift(self, periods: int = ..., axis: AxisIndex = ...) -> Series[S1]: ...
-    def tshift(
-        self, periods: int = ..., freq=..., axis: AxisIndex = ...
     ) -> Series[S1]: ...
     def truncate(
         self,
@@ -1480,7 +1470,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         percentiles: list[float] | None = ...,
         include: Literal["all"] | list[S1] | None = ...,
         exclude: S1 | list[S1] | None = ...,
-        datetime_is_numeric: _bool | None = ...,
     ) -> Series[S1]: ...
     def pct_change(
         self,