pm4py.discovery.discover_transition_system#

pm4py.discovery.discover_transition_system(log: EventLog | DataFrame, direction: str = 'forward', window: int = 2, view: str = 'sequence', activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name') → TransitionSystem[source]#

Discovers a Transition System from a log.

The Transition System is built based on the specified direction, window size, and view. It captures the transitions between states of activity sequences.

Parameters:

log – Event log or Pandas DataFrame.
direction (str) – Direction in which the transition system is built (“forward” or “backward”) (default: “forward”).
window (int) – Window size for state construction (e.g., 2, 3) (default: 2).
view (str) – View to use in the construction of the states (“sequence”, “set”, “multiset”) (default: “sequence”).
activity_key (str) – Attribute to be used for the activity (default: “concept:name”).
timestamp_key (str) – Attribute to be used for the timestamp (default: “time:timestamp”).
case_id_key (str) – Attribute to be used as case identifier (default: “case:concept:name”).

Returns:

A TransitionSystem object representing the discovered transition system.

Return type:

TransitionSystem

import pm4py

transition_system = pm4py.discover_transition_system(
    dataframe,
    activity_key='concept:name',
    case_id_key='case:concept:name',
    timestamp_key='time:timestamp'
)