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

Bases: Enum

NETWORKX = <module 'pm4py.visualization.sna.variants.networkx' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\sna\\variants\\networkx.py'>#
PYVIS = <module 'pm4py.visualization.sna.variants.pyvis' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\sna\\variants\\pyvis.py'>#
pm4py.visualization.sna.visualizer.apply(metric_values: SNA, parameters=None, variant=Variants.NETWORKX)[source]#

Perform SNA visualization starting from the Matrix Container object and the Resource-Resource matrix

Parameters#

metric_values

Value of the metrics

parameters

Possible parameters of the algorithm

variant
Variant of the algorithm to use, possible values:
  • Variants.NETWORKX

  • Variants.PYVIS

Returns#

temp_file_name

Name of a temporary file where the visualization is placed

pm4py.visualization.sna.visualizer.view(temp_file_name, parameters=None, variant=Variants.NETWORKX)[source]#

View the SNA visualization on the screen

Parameters#

temp_file_name

Temporary file name

parameters

Possible parameters of the algorithm

pm4py.visualization.sna.visualizer.save(temp_file_name, dest_file, parameters=None, variant=Variants.NETWORKX)[source]#

Save the SNA visualization from a temporary file to a well-defined destination file

Parameters#

temp_file_name

Temporary file name

dest_file

Destination file

parameters

Possible parameters of the algorithm