pandas.io.parsers.ExcelFile.parse

ExcelFile.parse(sheetname, header=0, skiprows=None, skip_footer=0, index_col=None, parse_cols=None, parse_dates=False, date_parser=None, na_values=None, thousands=None, chunksize=None, **kwds)

Read Excel table into DataFrame

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

parsed : DataFrame