pm4py.utils.rebase

pm4py.utils.rebase(log_obj: EventLog | EventStream | DataFrame, case_id: str = 'case:concept:name', activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', start_timestamp_key: str = 'start_timestamp', timest_format: str | None = None) → EventLog | EventStream | DataFrame

Re-base the log object, changing the case ID, activity and timestamp attributes.

Parameters:

• log_obj – Log object

• case_id (str) – Case identifier

• activity_key (str) – Activity

• timestamp_key (str) – Timestamp

• start_timestamp_key (str) – Start timestamp

• timest_format – Timestamp format that is provided to Pandas

Return type:

Union[EventLog, EventStream, pd.DataFrame]

import pm4py

rebased_dataframe = pm4py.rebase(dataframe, case_id='case:concept:name', activity_key='concept:name', timestamp_key='time:timestamp')