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# pandas.Series.from_csv

classmethod `Series.``from_csv`(path, sep=', ', parse_dates=True, header=None, index_col=0, encoding=None, infer_datetime_format=False)

  Read delimited file into Series

  Parameters : | path : string file path or file handle / StringIO sep : string, default ‘,’ Field delimiter parse_dates : boolean, default True Parse dates. Different default from read_table header : int, default 0 Row to use at header (skip prior rows) index_col : int or sequence, default 0 Column to use for index. If a sequence is given, a MultiIndex is used. Different default from read_table encoding : string, optional a string representing the encoding to use if the contents are non-ascii, for python versions prior to 3 infer_datetime_format: boolean, default False If True and parse_dates is True for a column, try to infer the datetime format based on the first datetime string. If the format can be inferred, there often will be a large parsing speed-up.
  Returns : | y : Series

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