pm4py.filtering.filter_activity_done_different_resources#

pm4py.filtering.filter_activity_done_different_resources(log: EventLog | DataFrame, activity: str, activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name', resource_key: str = 'org:resource', keep_violations: bool = True) EventLog | DataFrame[source]#

Filters the cases where an activity is performed by different resources multiple times.

Parameters:
  • log – Event log or Pandas DataFrame.

  • activity (str) – Activity to consider.

  • 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.

  • resource_key (str) – Attribute to be used as resource.

  • keep_violations (bool) – Boolean indicating whether to discard (if False) or retain (if True) the violations.

Returns:

Filtered event log or Pandas DataFrame.

import pm4py

filtered_dataframe = pm4py.filter_activity_done_different_resources(
    dataframe,
    'Act. A',
    activity_key='concept:name',
    resource_key='org:resource',
    timestamp_key='time:timestamp',
    case_id_key='case:concept:name'
)