pm4py.filtering.filter_variants_top_k(log: Union[EventLog, DataFrame], k: int, activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name') Union[EventLog, DataFrame][source]#

Keeps the top-k variants of the log

  • log – event log / Pandas dataframe

  • k (int) – number of variants that should be kept

  • 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

Return type:

Union[EventLog, pd.DataFrame]

import pm4py

filtered_dataframe = pm4py.filter_variants_top_k(dataframe, 5, activity_key='concept:name', timestamp_key='time:timestamp', case_id_key='case:concept:name')