![]() na_filter bool, default Trueĭetect missing value markers (empty strings and the value of na_values). Note that if na_filter is passed in as False, the keep_default_na and If keep_default_na is False, and na_values are not specified, no The NaN values specified na_values are used for parsing. ![]() If keep_default_na is False, and na_values are specified, only The default NaN values are used for parsing. If keep_default_na is True, and na_values are not specified, only Is appended to the default NaN values used for parsing. If keep_default_na is True, and na_values are specified, na_values Whether or not to include the default NaN values when parsing the data.ĭepending on whether na_values is passed in, the behavior is as follows: na_values scalar, str, list-like, or dict, default NoneĪdditional strings to recognize as NA/NaN. An example of a valid callable argument would be lambda x: x in. ![]() If callable, the callable function will be evaluatedĪgainst the row indices, returning True if the row should be skipped andįalse otherwise. Line numbers to skip (0-indexed) or number of lines to skip (int) at the skiprows list-like, int, or callable, optional Input argument, the Excel cell content, and return the transformed Keys canĮither be integers or column labels, values are functions that take one If the parsed data only contains one column then return a Series.ĭict of functions for converting values in certain 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, squeeze = 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 = None, thousands = None, decimal = '.', comment = None, skipfooter = 0, convert_float = None, mangle_dupe_cols = True, storage_options = None ) #
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