pm4py.visualization.process_tree.visualizer module#

PM4Py – A Process Mining Library for Python Copyright (C) 2026 Process Intelligence Solutions GmbH

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class pm4py.visualization.process_tree.visualizer.Variants(*values)[source]#

Bases: Enum

WO_DECORATION = <module 'pm4py.visualization.process_tree.variants.wo_decoration' from '/home/javert/ALE/pm4py/pm4py/visualization/process_tree/variants/wo_decoration.py'>#
SYMBOLIC = <module 'pm4py.visualization.process_tree.variants.symbolic' from '/home/javert/ALE/pm4py/pm4py/visualization/process_tree/variants/symbolic.py'>#
FREQUENCY_ANNOTATION = <module 'pm4py.visualization.process_tree.variants.frequency_annotation' from '/home/javert/ALE/pm4py/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:

GraphViz object

Return type:

gviz

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