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