pm4py.stats.get_minimum_self_distance_witnesses#
- pm4py.stats.get_minimum_self_distance_witnesses(log: EventLog | DataFrame, activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name') Dict[str, Set[str]] [source]#
Derives the minimum self-distance witnesses for each activity.
A ‘witness’ is an activity that occurs between two occurrences of the same activity at the minimum self-distance. For example, if the minimum self-distance of activity a is 2, then in a trace <a, b, c, a>, activities b and c are witnesses of a.
- Parameters:
log – Event log (EventLog or pandas DataFrame).
activity_key (
str
) – Attribute to be used for the activity.timestamp_key (
str
) – Attribute to be used for the timestamp.case_id_key (
str
) – Attribute to be used as the case identifier.
- Returns:
A dictionary mapping each activity to a set of its witness activities.
import pm4py msd_wit = pm4py.get_minimum_self_distance_witnesses( dataframe, activity_key='concept:name', case_id_key='case:concept:name', timestamp_key='time:timestamp' )