pm4py.utils

Functions

deserialize(ser_obj)	Deserialize a bytes string to a PM4Py object
format_dataframe(df[, case_id, ...])	Give the appropriate format on the dataframe, for process mining purposes
get_properties(log[, activity_key, ...])	Gets the properties from a log object
parse_event_log_string(traces[, sep, ...])	Parse a collection of traces expressed as strings (e.g., ["A,B,C,D", "A,C,B,D", "A,D"]) to a log object (Pandas dataframe)
parse_powl_model_string(powl_string)	Parse 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)	Parse a process tree from a string
project_on_event_attribute(log[, ...])	Project the event log on a specified event attribute.
rebase(log_obj[, case_id, activity_key, ...])	Re-base the log object, changing the case ID, activity and timestamp attributes.
sample_cases(log, num_cases[, case_id_key])	(Random) Sample a given number of cases from the event log.
sample_events(log, num_events)	(Random) Sample a given number of events from the event log.
serialize(*args)	Serialize a PM4Py object into a bytes string
set_classifier(log, classifier[, ...])	Methods to set the specified classifier on an existing event log