TYP: fix a few types

pandas/core/frame.py

@@ -1926,11 +1926,17 @@ def to_dict(
         self,
         orient: Literal["dict", "list", "series", "split", "tight", "index"] = ...,
         into: type[dict] = ...,
+        index: bool = ...,
     ) -> dict:
         ...
 
     @overload
-    def to_dict(self, orient: Literal["records"], into: type[dict] = ...) -> list[dict]:
+    def to_dict(
+        self,
+        orient: Literal["records"],
+        into: type[dict] = ...,
+        index: bool = ...,
+    ) -> list[dict]:
         ...
 
     @deprecate_nonkeyword_arguments(
@@ -11297,7 +11303,7 @@ def _reduce_axis1(self, name: str, func, skipna: bool) -> Series:
     def any(  # type: ignore[override]
         self,
         *,
-        axis: Axis = 0,
+        axis: Axis | None = 0,
         bool_only: bool = False,
         skipna: bool = True,
         **kwargs,
@@ -11312,7 +11318,7 @@ def any(  # type: ignore[override]
     @doc(make_doc("all", ndim=2))
     def all(
         self,
-        axis: Axis = 0,
+        axis: Axis | None = 0,
         bool_only: bool = False,
         skipna: bool = True,
         **kwargs,
@@ -11711,6 +11717,7 @@ def quantile(
         axis: Axis = ...,
         numeric_only: bool = ...,
         interpolation: QuantileInterpolation = ...,
+        method: Literal["single", "table"] = ...,
     ) -> Series:
         ...
 
@@ -11721,6 +11728,7 @@ def quantile(
         axis: Axis = ...,
         numeric_only: bool = ...,
         interpolation: QuantileInterpolation = ...,
+        method: Literal["single", "table"] = ...,
     ) -> Series | DataFrame:
         ...
 
@@ -11731,6 +11739,7 @@ def quantile(
         axis: Axis = ...,
         numeric_only: bool = ...,
         interpolation: QuantileInterpolation = ...,
+        method: Literal["single", "table"] = ...,
     ) -> Series | DataFrame:
         ...
 
@@ -11830,11 +11839,10 @@ def quantile(
 
         if not is_list_like(q):
             # BlockManager.quantile expects listlike, so we wrap and unwrap here
-            # error: List item 0 has incompatible type "Union[float, Union[Union[
-            # ExtensionArray, ndarray[Any, Any]], Index, Series], Sequence[float]]";
-            # expected "float"
-            res_df = self.quantile(  # type: ignore[call-overload]
-                [q],
+            # error: List item 0 has incompatible type "float | ExtensionArray |
+            # ndarray[Any, Any] | Index | Series | Sequence[float]"; expected "float"
+            res_df = self.quantile(
+                [q],  # type: ignore[list-item]
                 axis=axis,
                 numeric_only=numeric_only,
                 interpolation=interpolation,

pandas/core/generic.py

@@ -11827,7 +11827,7 @@ def _logical_func(
         self,
         name: str,
         func,
-        axis: Axis = 0,
+        axis: Axis | None = 0,
         bool_only: bool_t = False,
         skipna: bool_t = True,
         **kwargs,
@@ -11840,7 +11840,10 @@ def _logical_func(
             res = self._logical_func(
                 name, func, axis=0, bool_only=bool_only, skipna=skipna, **kwargs
             )
-            return res._logical_func(name, func, skipna=skipna, **kwargs)
+            # error: Item "bool" of "Series | bool" has no attribute "_logical_func"
+            return res._logical_func(  # type: ignore[union-attr]
+                name, func, skipna=skipna, **kwargs
+            )
         elif axis is None:
             axis = 0
 

pandas/io/excel/_base.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import abc
 from collections.abc import (
     Hashable,
     Iterable,
@@ -549,7 +548,7 @@ def read_excel(
 _WorkbookT = TypeVar("_WorkbookT")
 
 
-class BaseExcelReader(Generic[_WorkbookT], metaclass=abc.ABCMeta):
+class BaseExcelReader(Generic[_WorkbookT]):
     book: _WorkbookT
 
     def __init__(
@@ -589,13 +588,11 @@ def __init__(
             )
 
     @property
-    @abc.abstractmethod
     def _workbook_class(self) -> type[_WorkbookT]:
-        pass
+        raise NotImplementedError
 
-    @abc.abstractmethod
     def load_workbook(self, filepath_or_buffer, engine_kwargs) -> _WorkbookT:
-        pass
+        raise NotImplementedError
 
     def close(self) -> None:
         if hasattr(self, "book"):
@@ -611,21 +608,17 @@ def close(self) -> None:
         self.handles.close()
 
     @property
-    @abc.abstractmethod
     def sheet_names(self) -> list[str]:
-        pass
+        raise NotImplementedError
 
-    @abc.abstractmethod
     def get_sheet_by_name(self, name: str):
-        pass
+        raise NotImplementedError
 
-    @abc.abstractmethod
     def get_sheet_by_index(self, index: int):
-        pass
+        raise NotImplementedError
 
-    @abc.abstractmethod
     def get_sheet_data(self, sheet, rows: int | None = None):
-        pass
+        raise NotImplementedError
 
     def raise_if_bad_sheet_by_index(self, index: int) -> None:
         n_sheets = len(self.sheet_names)
@@ -940,7 +933,7 @@ def parse(
 
 
 @doc(storage_options=_shared_docs["storage_options"])
-class ExcelWriter(Generic[_WorkbookT], metaclass=abc.ABCMeta):
+class ExcelWriter(Generic[_WorkbookT]):
     """
     Class for writing DataFrame objects into excel sheets.
 
@@ -1178,20 +1171,19 @@ def engine(self) -> str:
         return self._engine
 
     @property
-    @abc.abstractmethod
     def sheets(self) -> dict[str, Any]:
         """Mapping of sheet names to sheet objects."""
+        raise NotImplementedError
 
     @property
-    @abc.abstractmethod
     def book(self) -> _WorkbookT:
         """
         Book instance. Class type will depend on the engine used.
 
         This attribute can be used to access engine-specific features.
         """
+        raise NotImplementedError
 
-    @abc.abstractmethod
     def _write_cells(
         self,
         cells,
@@ -1214,12 +1206,13 @@ def _write_cells(
         freeze_panes: int tuple of length 2
             contains the bottom-most row and right-most column to freeze
         """
+        raise NotImplementedError
 
-    @abc.abstractmethod
     def _save(self) -> None:
         """
         Save workbook to disk.
         """
+        raise NotImplementedError
 
     def __init__(
         self,

pandas/io/formats/excel.py

@@ -941,9 +941,7 @@ def write(
         if isinstance(writer, ExcelWriter):
             need_save = False
         else:
-            # error: Cannot instantiate abstract class 'ExcelWriter' with abstract
-            # attributes 'engine', 'save', 'supported_extensions' and 'write_cells'
-            writer = ExcelWriter(  # type: ignore[abstract]
+            writer = ExcelWriter(
                 writer,
                 engine=engine,
                 storage_options=storage_options,

pandas/io/json/_json.py

@@ -82,6 +82,7 @@
         JSONEngine,
         JSONSerializable,
         ReadBuffer,
+        Self,
         StorageOptions,
         WriteBuffer,
     )
@@ -1056,7 +1057,7 @@ def close(self) -> None:
         if self.handles is not None:
             self.handles.close()
 
-    def __iter__(self: JsonReader[FrameSeriesStrT]) -> JsonReader[FrameSeriesStrT]:
+    def __iter__(self) -> Self:
         return self
 
     @overload
@@ -1099,7 +1100,7 @@ def __next__(self) -> DataFrame | Series:
         else:
             return obj
 
-    def __enter__(self) -> JsonReader[FrameSeriesStrT]:
+    def __enter__(self) -> Self:
         return self
 
     def __exit__(

pandas/io/parsers/readers.py

@@ -1307,13 +1307,60 @@ def read_table(
     return _read(filepath_or_buffer, kwds)
 
 
+@overload
+def read_fwf(
+    filepath_or_buffer: FilePath | ReadCsvBuffer[bytes] | ReadCsvBuffer[str],
+    *,
+    colspecs: Sequence[tuple[int, int]] | str | None = ...,
+    widths: Sequence[int] | None = ...,
+    infer_nrows: int = ...,
+    dtype_backend: DtypeBackend | lib.NoDefault = ...,
+    iterator: Literal[True],
+    chunksize: int | None = ...,
+    **kwds,
+) -> TextFileReader:
+    ...
+
+
+@overload
+def read_fwf(
+    filepath_or_buffer: FilePath | ReadCsvBuffer[bytes] | ReadCsvBuffer[str],
+    *,
+    colspecs: Sequence[tuple[int, int]] | str | None = ...,
+    widths: Sequence[int] | None = ...,
+    infer_nrows: int = ...,
+    dtype_backend: DtypeBackend | lib.NoDefault = ...,
+    iterator: bool = ...,
+    chunksize: int,
+    **kwds,
+) -> TextFileReader:
+    ...
+
+
+@overload
+def read_fwf(
+    filepath_or_buffer: FilePath | ReadCsvBuffer[bytes] | ReadCsvBuffer[str],
+    *,
+    colspecs: Sequence[tuple[int, int]] | str | None = ...,
+    widths: Sequence[int] | None = ...,
+    infer_nrows: int = ...,
+    dtype_backend: DtypeBackend | lib.NoDefault = ...,
+    iterator: Literal[False] = ...,
+    chunksize: None = ...,
+    **kwds,
+) -> DataFrame:
+    ...
+
+
 def read_fwf(
     filepath_or_buffer: FilePath | ReadCsvBuffer[bytes] | ReadCsvBuffer[str],
     *,
     colspecs: Sequence[tuple[int, int]] | str | None = "infer",
     widths: Sequence[int] | None = None,
     infer_nrows: int = 100,
     dtype_backend: DtypeBackend | lib.NoDefault = lib.no_default,
+    iterator: bool = False,
+    chunksize: int | None = None,
     **kwds,
 ) -> DataFrame | TextFileReader:
     r"""
@@ -1412,6 +1459,8 @@ def read_fwf(
     kwds["colspecs"] = colspecs
     kwds["infer_nrows"] = infer_nrows
     kwds["engine"] = "python-fwf"
+    kwds["iterator"] = iterator
+    kwds["chunksize"] = chunksize
 
     check_dtype_backend(dtype_backend)
     kwds["dtype_backend"] = dtype_backend