pm4py.stats.get_activity_position_summary#

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

Summarizes the positions of a specific activity across all cases in the event log.

For each occurrence of the activity, records its position within the trace. For example, if ‘A’ occurs 1000 times in position 1 and 500 times in position 2, the returned dictionary will be {1: 1000, 2: 500}.

Parameters:

log – Event log object (EventLog or pandas DataFrame).
activity (str) – The activity to analyze.
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 positions (0-based index) to the number of times the activity occurs in that position.

import pm4py

act_pos = pm4py.get_activity_position_summary(
    dataframe,
    'Act. A',
    activity_key='concept:name',
    case_id_key='case:concept:name',
    timestamp_key='time:timestamp'
)