pm4py.utils

Functions

deserialize(ser_obj)	Deserializes a bytes string back into a PM4Py object.
format_dataframe(df[, case_id, ...])	Formats the dataframe appropriately for process mining purposes.
get_properties(log[, activity_key, ...])	Retrieves the properties from a log object.
parse_event_log_string(traces[, sep, ...])	Parses a collection of traces expressed as strings (e.g., ["A,B,C,D", "A,C,B,D", "A,D"]) into a log object.
parse_powl_model_string(powl_string)	Parses a POWL model from a string representation of the process model (with the same format as the __repr__ and __str__ methods of the POWL model).
parse_process_tree(tree_string)	Parses a process tree from a string.
project_on_event_attribute(log[, ...])	Projects the event log onto a specified event attribute.
rebase(log_obj[, case_id, activity_key, ...])	Re-bases the log object by changing the case ID, activity, and timestamp attributes.
sample_cases(log, num_cases[, case_id_key])	Randomly samples a given number of cases from the event log.
sample_events(log, num_events)	Randomly samples a given number of events from the event log.
serialize(*args)	Serializes a PM4Py object into a bytes string.
set_classifier(log, classifier[, ...])	Sets the specified classifier on an existing event log.