pm4py.visualization.ocel.ocpn 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#
Submodules#
pm4py.visualization.ocel.ocpn.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.ocel.ocpn.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.ocel.ocpn.variants.wo_decoration' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\ocel\\ocpn\\variants\\wo_decoration.py'>#
- pm4py.visualization.ocel.ocpn.visualizer.apply(ocpn: Dict[str, Any], variant=Variants.WO_DECORATION, parameters: Dict[Any, Any] | None = None) Digraph[source]#
Obtains a visualization of the provided object-centric Petri net
Reference paper: van der Aalst, Wil MP, and Alessandro Berti. “Discovering object-centric Petri nets.” Fundamenta informaticae 175.1-4 (2020): 1-40.
Parameters#
- ocpn
Object-centric Petri net
- variant
Variant of the algorithm to be used
- parameters
Variant-specific parameters
Returns#
- gviz
Graphviz digraph
- pm4py.visualization.ocel.ocpn.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