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# pandas.io.excel.read_excel

`pandas.io.excel.``read_excel`(io, sheetname, **kwds)

  Read an Excel table into a pandas DataFrame

  Parameters : | io : string, file-like object or xlrd workbook If a string, expected to be a path to xls or xlsx file sheetname : string Name of Excel sheet header : int, default 0 Row to use for the column labels of the parsed DataFrame skiprows : list-like Rows to skip at the beginning (0-indexed) skip_footer : int, default 0 Rows at the end to skip (0-indexed) index_col : int, default None Column to use as the row labels of the DataFrame. Pass None if there is no such column parse_cols : int or list, default None If None then parse all columns, If int then indicates last column to be parsed If list of ints then indicates list of column numbers to be parsed If string then indicates comma separated list of column names and column ranges (e.g. “A:E” or “A,C,E:F”) na_values : list-like, default None List of additional strings to recognize as NA/NaN keep_default_na : bool, default True If na_values are specified and keep_default_na is False the default NaN values are overridden, otherwise they’re appended to verbose : boolean, default False Indicate number of NA values placed in non-numeric columns engine: string, default None If io is not a buffer or path, this must be set to identify io. Acceptable values are None or xlrd convert_float : boolean, default True convert integral floats to int (i.e., 1.0 –> 1). If False, all numeric data will be read in as floats: Excel stores all numbers as floats internally.
  Returns : | parsed : DataFrame DataFrame from the passed in Excel file

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