pm4py.filtering.filter_event_attribute_values

pm4py.filtering.filter_event_attribute_values(log: EventLog | DataFrame, attribute_key: str, values: Set[str] | List[str], level: str = 'case', retain: bool = True, case_id_key: str = 'case:concept:name') → EventLog | DataFrame

Filter a log object on the values of some event attribute

Parameters:

• log – event log / Pandas dataframe

• attribute_key (str) – attribute to filter

• values – admitted (or forbidden) values

• level (str) – specifies how the filter should be applied (‘case’ filters the cases where at least one occurrence happens, ‘event’ filter the events eventually trimming the cases)

• retain (bool) – specifies if the values should be kept or removed

• case_id_key (str) – attribute to be used as case identifier

Return type:

Union[EventLog, pd.DataFrame]

import pm4py

filtered_dataframe = pm4py.filter_event_attribute_values(dataframe, 'concept:name', ['Act. A', 'Act. Z'], case_id_key='case:concept:name')