reading the data instead of
    ``index_col``.
usecols : str, list-like, or callable, default None
    * If None, then parse all columns.
    * If str, then indicates comma separated list of Excel column letters
      and column ranges (e.g. "A:E" or "A,C,E:F"). Ranges are inclusive of
      both sides.
    * If list of int, then indicates list of column numbers to be parsed
      (0-indexed).
    * If list of string, then indicates list of column names to be parsed.
    * If callable, then evaluate each column name against it and parse the
      column if the callable returns ``True``.

    Returns a subset of the columns according to behavior above.
dtype : Type name or dict of column -> type, default None
    Data type for data or columns. E.g. {{'a': np.float64, 'b': np.int32}}
    Use `object` to preserve data as stored in Excel and not interpret dtype.
    If converters are specified, they will be applied INSTEAD
    of dtype conversion.
engine : str, default None
    If io is not a buffer or path, this must be set to identify io.
    Supported engines: "xlrd", "openpyxl", "odf", "pyxlsb".
    Engine compatibility :

    - "xlrd" supports old-style Excel files (.xls).
    - "openpyxl" supports newer Excel file formats.
    - "odf" supports OpenDocument file formats (.odf, .ods, .odt).
    - "pyxlsb" supports Binary Excel files.

    .. versionchanged:: 1.2.0
        The engine `xlrd <https://xlrd.readthedocs.io/en/latest/>`_
        now only supports old-style ``.xls`` files.
        When ``engine=None``, the following logic will be
        used to determine the engine:

       - If ``path_or_buffer`` is an OpenDocument format (.odf, .ods, .odt),
         then `odf <https://pypi.org/project/odfpy/>`_ will be used.
       - Otherwise if ``path_or_buffer`` is an xls format,
         ``xlrd`` will be used.
       - Otherwise if ``path_or_buffer`` is in xlsb format,
         ``pyxlsb`` will be used.

         .. versionadded:: 1.3.0
       - Otherwise ``openpyxl`` will be used.

         .. versionchanged:: 1.3.0

converters : dict, default None
    Dict of functions for converting values in certain columns. Keys can
    either be integers or column labels, values are functions that take one
    input argument, the Excel cell content, and return the transformed
    content.
true_values : list, default None
    Values to consider as True.
false_values : list, default None
    Values to consider as False.
skiprows : list-like, int, or callable, optional
    Line numbers to skip (0-indexed) or number of lines to skip (int) at the
    start of the file. If callable, the callable function will be evaluated
    against the row indices, returning True if the row should be skipped and
    False otherwise. An example of a valid callable argument would be ``lambda
    x: x in [0, 2]``.
nrows : int, default None
    Number of rows to parse.
na_values : scalar, str, list-like, or dict, default None
    Additional strings to recognize as NA/NaN. If dict passed, specific
    per-column NA values. By default the following values are interpreted
    as NaN: 'z