GH1063 Remove deprecated methods (#1064)

* GH1063 Remove deprecated methods

* GH1063 Remove infer_datetime_format from read_csv and to_datetime

pandas-stubs/core/resample.pyi

@@ -122,40 +122,22 @@ class Resampler(BaseGroupBy[NDFrameT]):
         **kwargs,
     ) -> NDFrameT: ...
     def asfreq(self, fill_value: Scalar | None = ...) -> NDFrameT: ...
-    def sum(
-        self, numeric_only: bool = ..., min_count: int = ..., *args, **kwargs
-    ) -> NDFrameT: ...
-    def prod(
-        self, numeric_only: bool = ..., min_count: int = ..., *args, **kwargs
-    ) -> NDFrameT: ...
-    def min(
-        self, numeric_only: bool = ..., min_count: int = ..., *args, **kwargs
-    ) -> NDFrameT: ...
-    def max(
-        self, numeric_only: bool = ..., min_count: int = ..., *args, **kwargs
-    ) -> NDFrameT: ...
-    def first(
-        self, numeric_only: bool = ..., min_count: int = ..., *args, **kwargs
-    ) -> NDFrameT: ...
-    def last(
-        self, numeric_only: bool = ..., min_count: int = ..., *args, **kwargs
-    ) -> NDFrameT: ...
-    def median(self, numeric_only: bool = ..., *args, **kwargs) -> NDFrameT: ...
-    def mean(self, numeric_only: bool = ..., *args, **kwargs) -> NDFrameT: ...
-    def std(
-        self, ddof: int = ..., numeric_only: bool = ..., *args, **kwargs
-    ) -> NDFrameT: ...
-    def var(
-        self, ddof: int = ..., numeric_only: bool = ..., *args, **kwargs
-    ) -> NDFrameT: ...
-    def sem(
-        self, ddof: int = ..., numeric_only: bool = ..., *args, **kwargs
-    ) -> NDFrameT: ...
-    def ohlc(self, *args, **kwargs) -> DataFrame: ...
+    def sum(self, numeric_only: bool = ..., min_count: int = ...) -> NDFrameT: ...
+    def prod(self, numeric_only: bool = ..., min_count: int = ...) -> NDFrameT: ...
+    def min(self, numeric_only: bool = ..., min_count: int = ...) -> NDFrameT: ...
+    def max(self, numeric_only: bool = ..., min_count: int = ...) -> NDFrameT: ...
+    def first(self, numeric_only: bool = ..., min_count: int = ...) -> NDFrameT: ...
+    def last(self, numeric_only: bool = ..., min_count: int = ...) -> NDFrameT: ...
+    def median(self, numeric_only: bool = ...) -> NDFrameT: ...
+    def mean(self, numeric_only: bool = ...) -> NDFrameT: ...
+    def std(self, ddof: int = ..., numeric_only: bool = ...) -> NDFrameT: ...
+    def var(self, ddof: int = ..., numeric_only: bool = ...) -> NDFrameT: ...
+    def sem(self, ddof: int = ..., numeric_only: bool = ...) -> NDFrameT: ...
+    def ohlc(self) -> DataFrame: ...
     @overload
-    def nunique(self: Resampler[Series], *args, **kwargs) -> Series[int]: ...
+    def nunique(self: Resampler[Series]) -> Series[int]: ...
     @overload
-    def nunique(self: Resampler[DataFrame], *args, **kwargs) -> DataFrame: ...
+    def nunique(self: Resampler[DataFrame]) -> DataFrame: ...
     def size(self) -> Series[int]: ...
     @overload
     def count(self: Resampler[Series]) -> Series[int]: ...

pandas-stubs/core/tools/datetimes.pyi

@@ -47,7 +47,6 @@ def to_datetime(
     format: str | None = ...,
     exact: bool = ...,
     unit: str | None = ...,
-    infer_datetime_format: bool = ...,
     origin: Literal["julian", "unix"] | TimestampConvertibleTypes = ...,
     cache: bool = ...,
 ) -> Timestamp: ...
@@ -61,7 +60,6 @@ def to_datetime(
     format: str | None = ...,
     exact: bool = ...,
     unit: str | None = ...,
-    infer_datetime_format: bool = ...,
     origin: Literal["julian", "unix"] | TimestampConvertibleTypes = ...,
     cache: bool = ...,
 ) -> Timestamp | NaTType: ...
@@ -75,7 +73,6 @@ def to_datetime(
     format: str | None = ...,
     exact: bool = ...,
     unit: str | None = ...,
-    infer_datetime_format: bool = ...,
     origin: Literal["julian", "unix"] | TimestampConvertibleTypes = ...,
     cache: bool = ...,
 ) -> TimestampSeries: ...
@@ -98,7 +95,6 @@ def to_datetime(
     format: str | None = ...,
     exact: bool = ...,
     unit: str | None = ...,
-    infer_datetime_format: bool = ...,
     origin: Literal["julian", "unix"] | TimestampConvertibleTypes = ...,
     cache: bool = ...,
 ) -> DatetimeIndex: ...

pandas-stubs/io/parsers/readers.pyi

@@ -71,7 +71,6 @@ def read_csv(
         | Sequence[Sequence[int]]
         | Mapping[str, Sequence[int | str]]
     ) = ...,
-    infer_datetime_format: bool = ...,
     keep_date_col: bool = ...,
     date_format: dict[Hashable, str] | str | None = ...,
     dayfirst: bool = ...,
@@ -136,7 +135,6 @@ def read_csv(
         | Sequence[Sequence[int]]
         | Mapping[str, Sequence[int | str]]
     ) = ...,
-    infer_datetime_format: bool = ...,
     keep_date_col: bool = ...,
     date_format: dict[Hashable, str] | str | None = ...,
     dayfirst: bool = ...,
@@ -201,7 +199,6 @@ def read_csv(
         | Sequence[Sequence[int]]
         | Mapping[str, Sequence[int | str]]
     ) = ...,
-    infer_datetime_format: bool = ...,
     keep_date_col: bool = ...,
     date_format: dict[Hashable, str] | str | None = ...,
     dayfirst: bool = ...,

pandas-stubs/io/stata.pyi

@@ -100,7 +100,6 @@ class StataReader(StataParser, abc.Iterator):
         exc_value: BaseException | None,
         traceback: TracebackType | None,
     ) -> None: ...
-    def close(self) -> None: ...
     def __next__(self) -> DataFrame: ...
     def get_chunk(self, size: int | None = ...) -> DataFrame: ...
     def read(