pm4py.visualization.ocel.interleavings 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.interleavings.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.interleavings.visualizer.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

GRAPHVIZ = <module 'pm4py.visualization.ocel.interleavings.variants.graphviz' from 'C:\\Users\\berti\\pm4py-core\\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#

digraph

Graphviz 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