pm4py.stats.get_end_activities#
- pm4py.stats.get_end_activities(log: EventLog | DataFrame, activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name') Dict[str, int] [source]#
Returns the end activities and their frequencies from a log object.
- Parameters:
log – Log object (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 end activity names to their frequencies.
import pm4py end_activities = pm4py.get_end_activities( dataframe, activity_key='concept:name', case_id_key='case:concept:name', timestamp_key='time:timestamp' )