def parse_time_string(arg, freq=None, dayfirst=None, yearfirst=None):
"""
Try hard to parse datetime string, leveraging dateutil plus some extra
goodies like quarter recognition.
Parameters
----------
arg : compat.string_types
freq : str or DateOffset, default None
Helps with interpreting time string if supplied
dayfirst : bool, default None
If None uses default from print_config
yearfirst : bool, default None
If None uses default from print_config
Returns
-------
datetime, datetime/dateutil.parser._result, str
"""
from pandas.core.config import get_option
if not isinstance(arg, compat.string_types):
return arg
from pandas.tseries.offsets import DateOffset
if isinstance(freq, DateOffset):
freq = freq.rule_code
if dayfirst is None:
dayfirst = get_option("display.date_dayfirst")
if yearfirst is None:
yearfirst = get_option("display.date_yearfirst")
return tslib.parse_datetime_string_with_reso(arg, freq=freq,
dayfirst=dayfirst,
yearfirst=yearfirst)
def parse_time_string(arg, freq=None, dayfirst=None, yearfirst=None):
"""
Try hard to parse datetime string, leveraging dateutil plus some extra
goodies like quarter recognition.
Parameters
----------
arg : compat.string_types
freq : str or DateOffset, default None
Helps with interpreting time string if supplied
dayfirst : bool, default None
If None uses default from print_config
yearfirst : bool, default None
If None uses default from print_config
Returns
-------
datetime, datetime/dateutil.parser._result, str
"""
from pandas.core.config import get_option
if not isinstance(arg, compat.string_types):
return arg
if dayfirst is None:
dayfirst = get_option("display.date_dayfirst")
if yearfirst is None:
yearfirst = get_option("display.date_yearfirst")
return tslib.parse_datetime_string_with_reso(arg,
freq=freq,
dayfirst=dayfirst,
yearfirst=yearfirst)
