How to use 'read_xlsx pandas' in Python

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def fromxlsx(filename, sheet=None, range_string=None, min_row=None,
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             min_col=None, max_row=None, max_col=None, read_only=False,
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             **kwargs):
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    """
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    Extract a table from a sheet in an Excel .xlsx file.
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    N.B., the sheet name is case sensitive.
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    The `sheet` argument can be omitted, in which case the first sheet in
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    the workbook is used by default.
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    The `range_string` argument can be used to provide a range string
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    specifying a range of cells to extract.
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    The `min_row`, `min_col`, `max_row` and `max_col` arguments can be
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    used to limit the range of cells to extract. They will be ignored
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    if `range_string` is provided.
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    The `read_only` argument determines how openpyxl returns the loaded 
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    workbook. Default is `False` as it prevents some LibreOffice files
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    from getting truncated at 65536 rows. `True` should be faster if the
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    file use is read-only and the files are made with Microsoft Excel.
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    Any other keyword arguments are passed through to
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    :func:`openpyxl.load_workbook()`.
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    """
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    return XLSXView(filename, sheet=sheet, range_string=range_string,
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                    min_row=min_row, min_col=min_col, max_row=max_row,
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                    max_col=max_col, read_only=read_only, **kwargs)