pm4py.stats.get_minimum_self_distance_witnesses(log: Union[EventLog, DataFrame], activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name') Dict[str, Set[str]][source]#

This function derives the minimum self distance witnesses. The self distance of a in <a> is infinity, of a in <a,a> is 0, in <a,b,a> is 1, etc. The minimum self distance is the minimal observed self distance value in the event log. A ‘witness’ is an activity that witnesses the minimum self distance. For example, if the minimum self distance of activity a in some log L is 2, then, if trace <a,b,c,a> is in log L, b and c are a witness of a.

  • log – Event Log to use

  • 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 case identifier

Return type:

Dict[str, Set[str]]

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')