pm4py.stats.get_case_arrival_average#

pm4py.stats.get_case_arrival_average(log: EventLog | DataFrame, activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name') → float[source]#

Gets the average difference between the start times of two consecutive cases

Parameters:

log – log object
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:

float

import pm4py

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