pm4py.ml.get_prefixes_from_log#
- pm4py.ml.get_prefixes_from_log(log: EventLog | DataFrame, length: int, case_id_key: str = 'case:concept:name') EventLog | DataFrame[source]#
Gets the prefixes of a log of a given length. The returned log object contain the prefixes: - if a trace has lower or identical length, it is included as-is - if a trace has greater length, it is cut
- Parameters:
log – event log / Pandas dataframe
length (
int) – lengthcase_id_key (
str) – attribute to be used as case identifier
- Return type:
Union[EventLog, pd.DataFrame]
import pm4py trimmed_df = pm4py.get_prefixes_from_log(dataframe, length=5, case_id_key='case:concept:name')