pm4py.stats.get_rework_cases_per_activity

pm4py.stats.get_rework_cases_per_activity(log: EventLog | DataFrame, activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name') → Dict[str, int]

Identifies activities that have rework occurrences, i.e., activities that occur more than once within the same case. The output is a dictionary mapping each such activity to the number of cases in which rework occurred.

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 each activity with rework to the number of cases where rework occurred.

import pm4py

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