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