pm4py.visualization.petrinet.variants package¶

Submodules¶

pm4py.visualization.petrinet.variants.alignments module¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

pm4py.visualization.petrinet.variants.alignments.apply(net, initial_marking, final_marking, log=None, aggregated_statistics=None, parameters=None)[source]¶

Apply method for Petri net visualization (it calls the graphviz_visualization method)

Parameters:	net – Petri net initial_marking – Initial marking final_marking – Final marking log – (Optional) log aggregated_statistics – Dictionary containing the frequency statistics parameters – Algorithm parameters
Returns:	Graph object
Return type:	viz

pm4py.visualization.petrinet.variants.greedy_decoration_frequency module¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

pm4py.visualization.petrinet.variants.greedy_decoration_frequency.apply(net, initial_marking, final_marking, log=None, aggregated_statistics=None, parameters=None)[source]¶

Apply frequency decoration through greedy algorithm (decorate Petri net based on DFG)

Parameters:	net – Petri net initial_marking – Initial marking final_marking – Final marking log – Log to use to decorate the Petri net aggregated_statistics – Dictionary containing the frequency statistics parameters – Algorithm parameters
Returns:	GraphViz object
Return type:	gviz

pm4py.visualization.petrinet.variants.greedy_decoration_frequency.get_decorated_net(net, initial_marking, final_marking, log, parameters=None, variant='frequency')[source]¶

Get a decorated net according to the specified variant (decorate Petri net based on DFG)

Parameters:	net – Petri net initial_marking – Initial marking final_marking – Final marking log – Log to use to decorate the Petri net parameters – Algorithm parameters variant – Specify if the decoration should take into account the frequency or the performance
Returns:	GraphViz object
Return type:	gviz

pm4py.visualization.petrinet.variants.greedy_decoration_performance module¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

pm4py.visualization.petrinet.variants.greedy_decoration_performance.apply(net, initial_marking, final_marking, log=None, aggregated_statistics=None, parameters=None)[source]¶

Apply performance decoration through greedy algorithm (decorate Petri net based on DFG)

Parameters:	net – Petri net initial_marking – Initial marking final_marking – Final marking log – Log to use to decorate the Petri net aggregated_statistics – Dictionary containing the frequency statistics parameters – Algorithm parameters
Returns:	GraphViz object
Return type:	gviz

pm4py.visualization.petrinet.variants.greedy_decoration_performance.get_decorated_net(net, initial_marking, final_marking, log, parameters=None, variant='frequency')[source]¶

Get a decorated net according to the specified variant (decorate Petri net based on DFG)

Parameters:	net – Petri net initial_marking – Initial marking final_marking – Final marking log – Log to use to decorate the Petri net parameters – Algorithm parameters variant – Specify if the decoration should take into account the frequency or the performance
Returns:	GraphViz object
Return type:	gviz

pm4py.visualization.petrinet.variants.token_decoration_frequency module¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

pm4py.visualization.petrinet.variants.token_decoration_frequency.apply(net, initial_marking, final_marking, log=None, aggregated_statistics=None, parameters=None)[source]¶

Apply method for Petri net visualization (it calls the graphviz_visualization method) adding frequency representation obtained by token replay

Parameters:	net – Petri net initial_marking – Initial marking final_marking – Final marking log – (Optional) log aggregated_statistics – Dictionary containing the frequency statistics parameters – Algorithm parameters (including the activity key used during the replay, and the timestamp key)
Returns:	Graph object
Return type:	viz

pm4py.visualization.petrinet.variants.token_decoration_frequency.get_decorations(log, net, initial_marking, final_marking, parameters=None, measure='frequency', ht_perf_method='last')[source]¶

Calculate decorations in order to annotate the Petri net

Parameters:	log – Trace log net – Petri net initial_marking – Initial marking final_marking – Final marking parameters – Parameters associated to the algorithm measure – Measure to represent on the process model (frequency/performance) ht_perf_method – Method to use in order to annotate hidden transitions (performance value could be put on the last possible point (last) or in the first possible point (first)
Returns:	Decorations to put on the process model
Return type:	decorations

pm4py.visualization.petrinet.variants.token_decoration_performance module¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

pm4py.visualization.petrinet.variants.token_decoration_performance.apply(net, initial_marking, final_marking, log=None, aggregated_statistics=None, parameters=None)[source]¶

Apply method for Petri net visualization (it calls the graphviz_visualization method) adding performance representation obtained by token replay

Parameters:	net – Petri net initial_marking – Initial marking final_marking – Final marking log – (Optional) log aggregated_statistics – Dictionary containing the frequency statistics parameters – Algorithm parameters (including the activity key used during the replay, and the timestamp key)
Returns:	Graph object
Return type:	viz

pm4py.visualization.petrinet.variants.token_decoration_performance.get_decorations(log, net, initial_marking, final_marking, parameters=None, measure='frequency', ht_perf_method='last')[source]¶

Calculate decorations in order to annotate the Petri net

Parameters:	log – Trace log net – Petri net initial_marking – Initial marking final_marking – Final marking parameters – Parameters associated to the algorithm measure – Measure to represent on the process model (frequency/performance) ht_perf_method – Method to use in order to annotate hidden transitions (performance value could be put on the last possible point (last) or in the first possible point (first)
Returns:	Decorations to put on the process model
Return type:	decorations

pm4py.visualization.petrinet.variants.wo_decoration module¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

pm4py.visualization.petrinet.variants.wo_decoration.apply(net, initial_marking, final_marking, log=None, aggregated_statistics=None, parameters=None)[source]¶

Apply method for Petri net visualization (it calls the graphviz_visualization method)

Parameters:	net – Petri net initial_marking – Initial marking final_marking – Final marking log – (Optional) log aggregated_statistics – Dictionary containing the frequency statistics parameters – Algorithm parameters
Returns:	Graph object
Return type:	viz

Module contents¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.