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)