pm4py.stats.get_all_case_durations#

pm4py.stats.get_all_case_durations(log: EventLog | DataFrame, business_hours: bool = False, business_hour_slots=[(25200, 61200), (111600, 147600), (198000, 234000), (284400, 320400), (370800, 406800)], activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name') → List[float][source]#

Gets the durations of the cases in the event log

Parameters:

log – Event log
business_hours (bool) – Enables/disables the computation based on the business hours (default: False)
business_hour_slots – work schedule of the company, provided as a list of tuples where each tuple represents one time slot of business hours. One slot i.e. one tuple consists of one start and one end time given in seconds since week start, e.g. [(7 * 60 * 60, 17 * 60 * 60), ((24 + 7) * 60 * 60, (24 + 12) * 60 * 60), ((24 + 13) * 60 * 60, (24 + 17) * 60 * 60),] meaning that business hours are Mondays 07:00 - 17:00 and Tuesdays 07:00 - 12:00 and 13:00 - 17:00
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:

List[float]

import pm4py

case_durations = pm4py.get_all_case_durations(dataframe, activity_key='concept:name', case_id_key='case:concept:name', timestamp_key='time:timestamp')