pm4py.visualization.petri_net package#
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.
Website: https://processintelligence.solutions Contact: info@processintelligence.solutions
Subpackages#
- pm4py.visualization.petri_net.common package
- pm4py.visualization.petri_net.util package
- pm4py.visualization.petri_net.variants package
- Submodules
- pm4py.visualization.petri_net.variants.alignments module
- pm4py.visualization.petri_net.variants.greedy_decoration_frequency module
- pm4py.visualization.petri_net.variants.greedy_decoration_performance module
- pm4py.visualization.petri_net.variants.token_decoration_frequency module
- pm4py.visualization.petri_net.variants.token_decoration_performance module
- pm4py.visualization.petri_net.variants.wo_decoration module
Submodules#
pm4py.visualization.petri_net.visualizer module#
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.
Website: https://processintelligence.solutions Contact: info@processintelligence.solutions
- class pm4py.visualization.petri_net.visualizer.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum
- WO_DECORATION = <module 'pm4py.visualization.petri_net.variants.wo_decoration' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\petri_net\\variants\\wo_decoration.py'>#
- FREQUENCY = <module 'pm4py.visualization.petri_net.variants.token_decoration_frequency' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\petri_net\\variants\\token_decoration_frequency.py'>#
- PERFORMANCE = <module 'pm4py.visualization.petri_net.variants.token_decoration_performance' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\petri_net\\variants\\token_decoration_performance.py'>#
- FREQUENCY_GREEDY = <module 'pm4py.visualization.petri_net.variants.greedy_decoration_frequency' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\petri_net\\variants\\greedy_decoration_frequency.py'>#
- PERFORMANCE_GREEDY = <module 'pm4py.visualization.petri_net.variants.greedy_decoration_performance' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\petri_net\\variants\\greedy_decoration_performance.py'>#
- ALIGNMENTS = <module 'pm4py.visualization.petri_net.variants.alignments' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\petri_net\\variants\\alignments.py'>#
- pm4py.visualization.petri_net.visualizer.apply(net: PetriNet, initial_marking: Marking = None, final_marking: Marking = None, log: EventLog | EventStream | DataFrame = None, aggregated_statistics=None, parameters: Dict[Any, Any] | None = None, variant=Variants.WO_DECORATION) Digraph [source]#
- pm4py.visualization.petri_net.visualizer.save(gviz: Digraph, output_file_path: str, parameters=None)[source]#
Save the diagram
Parameters#
- gviz
GraphViz diagram
- output_file_path
Path where the GraphViz output should be saved