pm4py.objects.petri_net.importer.variants.pnml module#
PM4Py – A Process Mining Library for Python Copyright (C) 2026 Process Intelligence Solutions GmbH
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- class pm4py.objects.petri_net.importer.variants.pnml.Parameters(*values)[source]#
Bases:
Enum- ENCODING = 'encoding'#
- AUTO_GUESS_FINAL_MARKING = 'auto_guess_final_marking'#
- RETURN_STOCHASTIC_MAP = 'return_stochastic_map'#
- pm4py.objects.petri_net.importer.variants.pnml.import_net(input_file_path, parameters=None)[source]#
Import a Petri net from a PNML file
- Parameters:
input_file_path – Input file path
parameters – Other parameters of the algorithm
- Returns:
net – Petri net
im – Initial marking
fm – Final marking
- pm4py.objects.petri_net.importer.variants.pnml.import_net_from_string(petri_string, parameters=None)[source]#
Imports a Petri net from a string
- Parameters:
petri_string – (Binary) string representing the Petri net
parameters – Parameters of the algorithm
- Returns:
net – Petri net
im – Initial marking
fm – Final marking
- pm4py.objects.petri_net.importer.variants.pnml.import_net_from_xml_object(root, parameters=None)[source]#
Import a Petri net from an etree XML object
- Parameters:
root – Root object of the XML
parameters – Other parameters of the algorithm: - AUTO_GUESS_FINAL_MARKING: automatic guessing the final marking from the .pnml file