pandas.Series.to_csv

Series.to_csv(path=None, index=True, sep=', ', na_rep='', float_format=None, header=False, index_label=None, mode='w', encoding=None, date_format=None, decimal='.') [source]

Write Series to a comma-separated values (csv) file

Parameters:

path : string or file handle, default None File path or object, if None is provided the result is returned as a string. na_rep : string, default ‘’ Missing data representation float_format : string, default None Format string for floating point numbers header : boolean, default False Write out series name index : boolean, default True Write row names (index) index_label : string or sequence, default None Column label for index column(s) if desired. If None is given, and header and index are True, then the index names are used. A sequence should be given if the DataFrame uses MultiIndex. mode : Python write mode, default ‘w’ sep : character, default ”,” Field delimiter for the output file. encoding : string, optional a string representing the encoding to use if the contents are non-ascii, for python versions prior to 3 date_format: string, default None Format string for datetime objects. decimal: string, default ‘.’ Character recognized as decimal separator. E.g. use ‘,’ for European data