Remove typevar

pandas/_typing.py

@@ -84,7 +84,6 @@
 DatetimeLikeScalar = Union["Period", "Timestamp", "Timedelta"]
 PandasScalar = Union["Period", "Timestamp", "Timedelta", "Interval"]
 Scalar = Union[PythonScalar, PandasScalar]
-IntStrT = TypeVar("IntStrT", int, str)
 
 
 # timestamp and timedelta convertible types

pandas/io/excel/_base.py

@@ -28,7 +28,6 @@
 from pandas._typing import (
  DtypeArg,
  FilePath,
- IntStrT,
  ReadBuffer,
  StorageOptions,
  WriteExcelBuffer,
@@ -387,7 +386,7 @@ def read_excel(
 @overload
 def read_excel(
  io,
- sheet_name: list[IntStrT] | None,
+ sheet_name: list[int],
  header: int | Sequence[int] | None = ...,
  names=...,
  index_col: int | Sequence[int] | None = ...,
@@ -413,15 +412,48 @@ def read_excel(
  convert_float: bool | None = ...,
  mangle_dupe_cols: bool = ...,
  storage_options: StorageOptions = ...,
-) -> dict[IntStrT, DataFrame]:
+) -> dict[int, DataFrame]:
+ ...
+
+
+@overload
+def read_excel(
+ io,
+ sheet_name: list[str] | None,
+ header: int | Sequence[int] | None = ...,
+ names=...,
+ index_col: int | Sequence[int] | None = ...,
+ usecols=...,
+ squeeze: bool | None = ...,
+ dtype: DtypeArg | None = ...,
+ engine: Literal["xlrd", "openpyxl", "odf", "pyxlsb"] | None = ...,
+ converters=...,
+ true_values: Iterable[Hashable] | None = ...,
+ false_values: Iterable[Hashable] | None = ...,
+ skiprows: Sequence[int] | int | Callable[[int], object] | None = ...,
+ nrows: int | None = ...,
+ na_values=...,
+ keep_default_na: bool = ...,
+ na_filter: bool = ...,
+ verbose: bool = ...,
+ parse_dates=...,
+ date_parser=...,
+ thousands: str | None = ...,
+ decimal: str = ...,
+ comment: str | None = ...,
+ skipfooter: int = ...,
+ convert_float: bool | None = ...,
+ mangle_dupe_cols: bool = ...,
+ storage_options: StorageOptions = ...,
+) -> dict[str, DataFrame]:
  ...
 
 
 @deprecate_nonkeyword_arguments(allowed_args=["io", "sheet_name"], version="2.0")
 @Appender(_read_excel_doc)
 def read_excel(
  io,
- sheet_name: str | int | list[IntStrT] | None = 0,
+ sheet_name: str | int | list[int] | list[str] | None = 0,
  header: int | Sequence[int] | None = 0,
  names=None,
  index_col: int | Sequence[int] | None = None,
@@ -447,7 +479,7 @@ def read_excel(
  convert_float: bool | None = None,
  mangle_dupe_cols: bool = True,
  storage_options: StorageOptions = None,
-) -> DataFrame | dict[IntStrT, DataFrame]:
+) -> DataFrame | dict[int, DataFrame] | dict[str, DataFrame]:
 
  should_close = False
  if not isinstance(io, ExcelFile):