pm4py.visualization.petri_net.variants.greedy_decoration_performance module#

class pm4py.visualization.petri_net.variants.greedy_decoration_performance.Parameters(*values)[source]#

Bases: Enum

FORMAT = 'format'#
DEBUG = 'debug'#
RANKDIR = 'set_rankdir'#
ACTIVITY_KEY = 'pm4py:param:activity_key'#
TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#
AGGREGATION_MEASURE = 'aggregationMeasure'#
FONT_SIZE = 'font_size'#
pm4py.visualization.petri_net.variants.greedy_decoration_performance.get_decorated_net(net, initial_marking, final_marking, log, parameters=None, variant='frequency')[source]#

Get a decorated net according to the specified variant (decorate Petri net based on DFG)

Parameters:

  • net – Petri net

  • initial_marking – Initial marking

  • final_marking – Final marking

  • log – Log to use to decorate the Petri net

  • parameters – Algorithm parameters

  • variant – Specify if the decoration should take into account the frequency or the performance

Returns:

GraphViz object

Return type:

gviz

pm4py.visualization.petri_net.variants.greedy_decoration_performance.apply(net: PetriNet, initial_marking: Marking, final_marking: Marking, log: EventLog = None, aggregated_statistics=None, parameters: Dict[str | Parameters, Any] | None = None) → Digraph[source]#

Apply performance decoration through greedy algorithm (decorate Petri net based on DFG)

Parameters:

  • net – Petri net

  • initial_marking – Initial marking

  • final_marking – Final marking

  • log – Log to use to decorate the Petri net

  • aggregated_statistics – Dictionary containing the frequency statistics

  • parameters – Algorithm parameters

Returns:

GraphViz object

Return type:

gviz