pm4py.visualization.ocel.interleavings.visualizer module#

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

Bases: Enum

GRAPHVIZ = <module 'pm4py.visualization.ocel.interleavings.variants.graphviz' from '/Users/chris/Desktop/PIS/pm4py2/pm4py/pm4py/visualization/ocel/interleavings/variants/graphviz.py'>#
pm4py.visualization.ocel.interleavings.visualizer.apply(dataframe1: DataFrame, dataframe2: DataFrame, interleavings: DataFrame, variant=Variants.GRAPHVIZ, parameters: Dict[Any, Any] | None = None) → Digraph[source]#

Visualizes the interleavings discovered between two different processes. We suppose to provide both event logs, and the discovered interleavings. The visualization includes the DFG of both processes, along with the arcs discovered between them. Both frequency and performance visualization are available.

Parameters:

  • dataframe1 – Dataframe of the first process

  • dataframe2 – Dataframe of the second process

  • interleavings – Interleavings between the two considered processes

  • variant – Variant of the visualizer to apply, possible values: Variants.GRAPHVIZ

  • parameters – Variant-specific parameters

Returns:

Graphviz Digraph

Return type:

digraph

pm4py.visualization.ocel.interleavings.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

pm4py.visualization.ocel.interleavings.visualizer.view(gviz: Digraph, parameters=None)[source]#

View the diagram

Parameters:

gviz – GraphViz diagram

pm4py.visualization.ocel.interleavings.visualizer.matplotlib_view(gviz: Digraph, parameters=None)[source]#

Views the diagram using Matplotlib

Parameters:

gviz – Graphviz