pm4py.analysis.insert_artificial_start_end#

pm4py.analysis.insert_artificial_start_end(log: EventLog | DataFrame, activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name', artificial_start='▶', artificial_end='■') EventLog | DataFrame[source]#

Inserts artificial start and end activities into an event log or a Pandas DataFrame.

Parameters:
  • log – The event log or Pandas DataFrame to modify.

  • activity_key (str) – The attribute key used for activities.

  • timestamp_key (str) – The attribute key used for timestamps.

  • case_id_key (str) – The attribute key used to identify cases.

  • artificial_start (str) – The symbol to use for the artificial start activity.

  • artificial_end (str) – The symbol to use for the artificial end activity.

Returns:

The event log or Pandas DataFrame with artificial start and end activities inserted.

Return type:

Union[EventLog, pd.DataFrame]

import pm4py

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