def parse_all_fields(year_col, month_col, day_col, hour_col, minute_col, second_col): """ Parse columns with datetime information into a single datetime column. .. deprecated:: 1.2 """ warnings.warn( """ Use pd.to_datetime({"year": year_col, "month": month_col, "day": day_col, "hour": hour_col, "minute": minute_col, second": second_col}) instead to get a Pandas Series. Use ser = pd.to_datetime({"year": year_col, "month": month_col, "day": day_col, "hour": hour_col, "minute": minute_col, second": second_col}) and np.array([s.to_pydatetime() for s in ser]) instead to get a Numpy array. """, # noqa: E501 FutureWarning, stacklevel=find_stack_level(), ) year_col = _maybe_cast(year_col) month_col = _maybe_cast(month_col) day_col = _maybe_cast(day_col) hour_col = _maybe_cast(hour_col) minute_col = _maybe_cast(minute_col) second_col = _maybe_cast(second_col) return parsing.try_parse_datetime_components(year_col, month_col, day_col, hour_col, minute_col, second_col)
def parse_all_fields(year_col, month_col, day_col, hour_col, minute_col, second_col): year_col = _maybe_cast(year_col) month_col = _maybe_cast(month_col) day_col = _maybe_cast(day_col) hour_col = _maybe_cast(hour_col) minute_col = _maybe_cast(minute_col) second_col = _maybe_cast(second_col) return parsing.try_parse_datetime_components( year_col, month_col, day_col, hour_col, minute_col, second_col )
def parse_all_fields(year_col, month_col, day_col, hour_col, minute_col, second_col): year_col = _maybe_cast(year_col) month_col = _maybe_cast(month_col) day_col = _maybe_cast(day_col) hour_col = _maybe_cast(hour_col) minute_col = _maybe_cast(minute_col) second_col = _maybe_cast(second_col) return parsing.try_parse_datetime_components(year_col, month_col, day_col, hour_col, minute_col, second_col)