pm4py.visualization.ocel.ocpn.variants 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

Submodules#

pm4py.visualization.ocel.ocpn.variants.wo_decoration 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.variants.wo_decoration.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

FORMAT = 'format'#
BGCOLOR = 'bgcolor'#
RANKDIR = 'rankdir'#
pm4py.visualization.ocel.ocpn.variants.wo_decoration.ot_to_color(ot: str) str[source]#
pm4py.visualization.ocel.ocpn.variants.wo_decoration.apply(ocpn: Dict[str, Any], parameters: Dict[Any, Any] | None = None) Digraph[source]#

Obtains a visualization of the provided object-centric Petri net (without decoration).

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: - Parameters.FORMAT => the format of the visualization (“png”, “svg”, …) - Parameters.BGCOLOR => the background color - Parameters.RANKDIR => the rank direction (LR = left-right, TB = top-bottom)

Returns#

gviz

Graphviz digraph