Series.to_csv(path=None, index=True, sep=', ', na_rep='', float_format=None, header=False, index_label=None, mode='w', encoding=None, compression=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
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 compression : string, optional A string representing the compression to use in the output file. Allowed values are ‘gzip’, ‘bz2’, ‘zip’, ‘xz’. This input is only used when the first argument is a filename. date_format: string, default None Format string for datetime objects. decimal: string, default ‘.’ Character recognized as decimal separator. E.g. use ‘,’ for European data |
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http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.Series.to_csv.html