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