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[source]#

Re-bases the log object by 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 provided to Pandas.

Returns:

A re-based log object.

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',
    start_timestamp_key='start_timestamp',
    timest_format='%Y-%m-%d %H:%M:%S'
)