pandas.io.excel.read_excel

pandas.io.excel.read_excel(io, sheetname=0, **kwds)

Read an Excel table into a pandas DataFrame

Parameters:

io : string, file-like object, or xlrd workbook.

The string could be a URL. Valid URL schemes include http, ftp, s3, and file. For file URLs, a host is expected. For instance, a local file could be file://localhost/path/to/workbook.xlsx

sheetname : string, int, mixed list of strings/ints, or None, default 0

Strings are used for sheet names, Integers are used in zero-indexed sheet positions.

Lists of strings/integers are used to request multiple sheets.

Specify None to get all sheets.

str|int -> DataFrame is returned. list|None -> Dict of DataFrames is returned, with keys representing sheets.

Available Cases

• Defaults to 0 -> 1st sheet as a DataFrame
• 1 -> 2nd sheet as a DataFrame
• “Sheet1” -> 1st sheet as a DataFrame
• [0,1,”Sheet5”] -> 1st, 2nd & 5th sheet as a dictionary of DataFrames
• None -> All sheets as a dictionary of DataFrames

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)

converters : dict, default None

Dict of functions for converting values in certain columns. Keys can either be integers or column labels, values are functions that take one input argument, the Excel cell content, and return the transformed content.

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

has_index_names : boolean, default False

True if the cols defined in index_col have an index name and are not in the header. Index name will be placed on a separate line below the header.

Returns:

parsed : DataFrame or Dict of DataFrames

DataFrame from the passed in Excel file. See notes in sheetname argument for more information on when a Dict of Dataframes is returned.