pm4py.visualization.process_tree 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.process_tree.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.process_tree.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.process_tree.variants.wo_decoration' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\process_tree\\variants\\wo_decoration.py'>#
SYMBOLIC = <module 'pm4py.visualization.process_tree.variants.symbolic' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\process_tree\\variants\\symbolic.py'>#
FREQUENCY_ANNOTATION = <module 'pm4py.visualization.process_tree.variants.frequency_annotation' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\process_tree\\variants\\frequency_annotation.py'>#
pm4py.visualization.process_tree.visualizer.apply(tree0: ProcessTree, parameters: Dict[Any, Any] | None = None, variant=Variants.WO_DECORATION) Graph[source]#

Method for Process Tree representation

Parameters#

tree

Process tree

parameters
Possible parameters of the algorithm:

Parameters.FORMAT -> Format of the image (PDF, PNG, SVG; default PNG) Parameters.BGCOLOR -> Background color to be used (i.e., ‘white’ or ‘transparent’) Parameters.RANKDIR -> Direction of the graph (“LR” for left-to-right; “TB” for top-to-bottom)

variant
Variant of the algorithm to use:
  • Variants.WO_DECORATION

Returns#

gviz

GraphViz object

pm4py.visualization.process_tree.visualizer.save(gviz: Graph, 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

pm4py.visualization.process_tree.visualizer.view(gviz: Graph, parameters=None)[source]#

View the diagram

Parameters#

gviz

GraphViz diagram

pm4py.visualization.process_tree.visualizer.matplotlib_view(gviz: Graph, parameters=None)[source]#

Views the diagram using Matplotlib

Parameters#

gviz

Graphviz