pm4py.stats.get_start_activities#

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

Returns the start activities and their frequencies from a log object.

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 start activity names to their frequencies.

import pm4py

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