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# pandas.DataFrame.to_csv

`DataFrame.``to_csv`(*args, **kwargs)

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

  Parameters : | path_or_buf : string or file handle, default None File path or object, if None is provided the result is returned as a string. 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 columns : 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 quotechar : string (length 1), default ‘”’ character used to quote fields doublequote : boolean, default True Control quoting of quotechar inside a field escapechar : string (length 1), default None character used to escape sep and quotechar when appropriate 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 cols : kwarg only alias of columns [deprecated]

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