pytimber.SparkLoggingDB.get_as_pivot

SparkLoggingDB.get_as_pivot(pattern_or_list: Union[str, Iterable[str]], t1: Union[str, datetime, datetime64, timedelta, int, int64, float], t2: Optional[Union[str, datetime, datetime64, timedelta, int, int64, float]] = None, unixtime: bool = True) → T