Input argument, the Excel cell content, and return the transformed Keys canĮither be integers or column labels, values are functions that take one Then you should explicitly pass header=Noneĭict of functions for converting values in certain columns. Those columns will be combined into a ``MultiIndex`` Index_col : int, list of ints, default NoneĬolumn (0-indexed) to use as the row labels of the DataFrame. Rows to skip at the beginning (0-indexed) If a list of integers is passed those row positions will Row (0-indexed) to use for the column labels of the parsedĭataFrame. * None -> All sheets as a dictionary of DataFrames * -> 1st, 2nd & 5th sheet as a dictionary of DataFrames * Defaults to 0 -> 1st sheet as a DataFrame List|None -> Dict of DataFrames is returned, with keys representing Lists of strings/integers are used to request multiple sheets. Strings are used for sheet names, Integers are used in zero-indexed Sheetname : string, int, mixed list of strings/ints, or None, default 0 For instance, a localįile could be file://localhost/path/to/workbook.xlsx Valid URL schemes include http, ftp, s3,Īnd file. Io : string, path object (pathlib.Path or py._),įile-like object, pandas ExcelFile, or xlrd workbook. Read an Excel table into a pandas DataFrame Read_excel(io, sheetname=0, header=0, skiprows=None, skip_footer=0, index_col=None, names=None, parse_cols=None, parse_dates=False, date_parser=None, na_values=None, thousands=None, convert_float=True, has_index_names=None, converters=None, true_values=None, false_values=None, engine=None, squeeze=False, **kwds) Help on function read_excel in module pandas.io.excel: DataFrame's read_excel method is like read_csv method: dfs = pd.read_excel(xlsx_file, sheetname="sheet1")
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