pm4py.utils.sample_cases#
- pm4py.utils.sample_cases(log: EventLog | DataFrame, num_cases: int, case_id_key: str = 'case:concept:name') EventLog | DataFrame[source]#
Randomly samples a given number of cases from the event log.
- Parameters:
log – Event log or Pandas DataFrame.
num_cases (
int) – Number of cases to sample.case_id_key (
str) – Attribute to be used as case identifier.
- Returns:
A sampled log object, either as an EventLog or a Pandas DataFrame.
- Return type:
Union[EventLog, pd.DataFrame]
import pm4py sampled_dataframe = pm4py.sample_cases(dataframe, 10, case_id_key='case:concept:name')