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# pandas.DataFrame.to_csv

`DataFrame.``to_csv`(path_or_buf, sep=', ', na_rep='', float_format=None, cols=None, header=True, index=True, index_label=None, mode='w', nanRep=None, encoding=None, quoting=None, line_terminator='n', chunksize=None, tupleize_cols=False, date_format=None, **kwds)

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

  Parameters : | path_or_buf : string or file handle / StringIO File path sep : character, default ”,” Field delimiter for the output file. na_rep : string, default ‘’ Missing data representation float_format : string, default None Format string for floating point numbers cols : sequence, optional Columns to write header : boolean or list of string, default True Write out column names. If a list of string is given it is assumed to be aliases for the column names index : boolean, default True Write row names (index) index_label : string or sequence, or False, 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. If False do not print fields for index names. Use index_label=False for easier importing in R nanRep : None deprecated, use na_rep mode : str Python write mode, default ‘w’ encoding : string, optional a string representing the encoding to use if the contents are non-ascii, for python versions prior to 3 line_terminator : string, default ‘\n’ The newline character or character sequence to use in the output file quoting : optional constant from csv module defaults to csv.QUOTE_MINIMAL chunksize : int or None rows to write at a time tupleize_cols : boolean, default False write multi_index columns as a list of tuples (if True) or new (expanded format) if False) date_format : string, default None Format string for datetime objects.

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