modin.pandas.read_excel¶

modin.pandas.read_excel(io, sheet_name: str | int | list[IntStrT] | None = 0, *, header: int | Sequence[int] | None = 0, names: list[str] | None = None, index_col: int | Sequence[int] | None = None, usecols: int | str | Sequence[int] | Sequence[str] | Callable[[str], bool] | None = None, dtype: DtypeArg | None = None, engine: Literal['xlrd', 'openpyxl', 'odf', 'pyxlsb'] | None = None, converters: dict[str, Callable] | dict[int, Callable] | None = None, true_values: Iterable[Hashable] | None = None, false_values: Iterable[Hashable] | None = None, skiprows: Sequence[int] | int | Callable[[int], object] | None = None, nrows: int | None = None, na_values=None, keep_default_na: bool = True, na_filter: bool = True, verbose: bool = False, parse_dates: list | dict | bool = False, date_parser: Callable | NoDefault = _NoDefault.no_default, date_format=None, thousands: str | None = None, decimal: str = '.', comment: str | None = None, skipfooter: int = 0, storage_options: StorageOptions = None, dtype_backend: DtypeBackend | NoDefault = _NoDefault.no_default, engine_kwargs: dict | None = None) → pd.DataFrame | dict[IntStrT, pd.DataFrame][source]¶

Read an Excel file into a Snowpark pandas DataFrame.