pm4py.stats.get_case_duration#
- pm4py.stats.get_case_duration(log: EventLog | DataFrame, case_id: str, 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 | None = None) float [source]#
Retrieves the duration of a specific case.
- Return type:
float
- Parameters:
log – Event log (EventLog or pandas DataFrame).
case_id (
str
) – Identifier of the case whose duration is to be retrieved.business_hours (
bool
) – If True, computes duration based on business hours; otherwise, uses calendar time.business_hour_slots –
Work schedule of the company as a list of tuples. Each tuple represents a time slot in seconds since the week start. Example: [
(7 * 60 * 60, 17 * 60 * 60), ((24 + 7) * 60 * 60, (24 + 12) * 60 * 60), ((24 + 13) * 60 * 60, (24 + 17) * 60 * 60),
] This example means: - Monday 07:00 - 17:00 - Tuesday 07:00 - 12:00 - Tuesday 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 – Attribute to be used as the case identifier.
- Returns:
The duration of the specified case.
import pm4py duration = pm4py.get_case_duration( dataframe, 'case_1', activity_key='concept:name', case_id_key='case:concept:name', timestamp_key='time:timestamp' )