If a column or index contains an unparsable date, the entire column or dtype Type name or dict of column -> type, default Noneĭata type for data or columns. Returns a subset of the columns according to behavior above. If callable, then evaluate each column name against it and parse the If list of string, then indicates list of column names to be parsed. If list of int, then indicates list of column numbers to be parsed If str, then indicates comma separated list of Excel column lettersĪnd column ranges (e.g. usecols str, list-like, or callable, default None Missing values use set_index after reading the data instead of

Missing values will be forward filled to allow roundtripping with Subset of data is selected with usecols, index_col Those columns will be combined into a MultiIndex. index_col int, list of int, default NoneĬolumn (0-indexed) to use as the row labels of the DataFrame. Then you should explicitly pass header=None. If a list of integers is passed those row positions willīe combined into a MultiIndex. Row (0-indexed) to use for the column labels of the parsedĭataFrame. : Load first, second and sheet named “Sheet5” Lists of strings/integers are used to request multiple sheets. Sheet positions (chart sheets do not count as a sheet position). sheet_name str, int, list, or None, default 0 If you want to pass in a path object, pandas accepts any os.PathLike.īy file-like object, we refer to objects with a read() method, A local file could be: file://localhost/path/to/table.xlsx. URL schemes include http, ftp, s3, and file. Parameters io str, bytes, ExcelFile, xlrd.Book, path object, or file-like objectĪny valid string path is acceptable.

Supports an option to readĪ single sheet or a list of sheets. Supports xls, xlsx, xlsm, xlsb, odf, ods and odt file extensions Read an Excel file into a pandas DataFrame. read_excel ( io, sheet_name = 0, *, header = 0, names = None, index_col = None, usecols = None, dtype = None, engine = None, converters = None, true_values = None, false_values = None, skiprows = None, nrows = None, na_values = None, keep_default_na = True, na_filter = True, verbose = False, parse_dates = False, date_parser = _NoDefault.no_default, date_format = None, thousands = None, decimal = '.', comment = None, skipfooter = 0, storage_options = None, dtype_backend = _NoDefault.no_default ) #

Change excel columns to rows