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/>.