pm4py.filtering.filter_suffixes#

pm4py.filtering.filter_suffixes(log: EventLog | DataFrame, activity: str, strict=True, first_or_last='first', activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name') → EventLog | DataFrame[source]#

Filters the log, keeping the suffixes from a given activity. E.g., for a log with traces:

A,B,C,D A,B,Z,A,B,C,D A,B,C,D,C,E,C,F

The suffixes from “C” are respectively:

D D D,C,E,C,F

Parameters:

log – event log / Pandas dataframe
activity (str) – target activity of the filter
strict (bool) – applies the filter strictly (cuts the occurrences of the selected activity).
first_or_last (str) – decides if the first or last occurrence of an activity should be selected as baseline for the filter.
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_prefixes(dataframe, 'Act. C', activity_key='concept:name', timestamp_key='time:timestamp', case_id_key='case:concept:name')