pm4py.objects.conversion.dfg.variants.to_petri_net_invisibles_no_duplicates module#

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class pm4py.objects.conversion.dfg.variants.to_petri_net_invisibles_no_duplicates.Parameters(*values)[source]#

Bases: Enum

START_ACTIVITIES = 'start_activities'#
END_ACTIVITIES = 'end_activities'#
PARAM_ARTIFICIAL_START_ACTIVITY = 'pm4py:param:art_start_act'#
PARAM_ARTIFICIAL_END_ACTIVITY = 'pm4py:param:art_end_act'#
pm4py.objects.conversion.dfg.variants.to_petri_net_invisibles_no_duplicates.apply(dfg: Dict[Tuple[str, str], int], parameters: Dict[Any, Any] | None = None)[source]#

Applies the DFG mining on a given object (if it is a Pandas dataframe or a log, the DFG is calculated)

Parameters:

  • dfg – Object (DFG) (if it is a Pandas dataframe or a log, the DFG is calculated)

  • parameters – Parameters: - Parameters.START_ACTIVITIES: the start activities of the DFG - Parameters.END_ACTIVITIES: the end activities of the DFG

Returns:

  • net – Petri net

  • im – Initial marking

  • fm – Final marking