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

Calculates the cycle time of the event log.

The definition that has been followed is the one proposed in:,is%2024%20minutes%20on%20average.

So: Cycle time = Average time between completion of units.

Example taken from the website: Consider a manufacturing facility, which is producing 100 units of product per 40 hour week. The average throughput rate is 1 unit per 0.4 hours, which is one unit every 24 minutes. Therefore the cycle time is 24 minutes on average.

  • 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:


import pm4py

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