pm4py.stats.get_event_attribute_values#

pm4py.stats.get_event_attribute_values(log: EventLog | DataFrame, attribute: str, count_once_per_case: bool = False, case_id_key: str = 'case:concept:name') → Dict[str, int][source]#

Returns the values and their frequencies for a specified event attribute.

Parameters:

log – Log object (EventLog or pandas DataFrame).
attribute (str) – The event attribute to analyze.
count_once_per_case (bool) – If True, count each attribute value at most once per case.
case_id_key (str) – Attribute to be used as the case identifier.

Returns:

A dictionary mapping attribute values to their frequencies.

import pm4py

activities = pm4py.get_event_attribute_values(
    dataframe,
    'concept:name',
    case_id_key='case:concept:name'
)