pm4py.discovery.discover_prefix_tree#
- pm4py.discovery.discover_prefix_tree(log: EventLog | DataFrame, activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name') Trie [source]#
Discovers a Prefix Tree from the provided log.
A Prefix Tree represents all the unique prefixes of activity sequences in the log.
- Parameters:
log – Event log or Pandas DataFrame.
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 Trie object representing the discovered prefix tree.
- Return type:
Trie
import pm4py prefix_tree = pm4py.discover_prefix_tree( dataframe, activity_key='concept:name', case_id_key='case:concept:name', timestamp_key='time:timestamp' )