pm4py.filtering.filter_activities_rework

pm4py.filtering.filter_activities_rework(log: EventLog | DataFrame, activity: str, min_occurrences: int = 2, activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name') → EventLog | DataFrame

Filters the event log, keeping cases where the specified activity occurs at least min_occurrences times.

Parameters:

• log – Event log or Pandas DataFrame.

• activity (str) – Activity to consider.

• min_occurrences (int) – Minimum desired number of occurrences.

• 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 case identifier.

Returns:

Filtered event log or Pandas DataFrame.

import pm4py

filtered_dataframe = pm4py.filter_activities_rework(
    dataframe,
    'Approve Order',
    2,
    activity_key='concept:name',
    timestamp_key='time:timestamp',
    case_id_key='case:concept:name'
)