pm4py.objects.dfg.importer.variants 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
Submodules#
pm4py.objects.dfg.importer.variants.classic 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.objects.dfg.importer.variants.classic.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- ENCODING = 'encoding'#
- pm4py.objects.dfg.importer.variants.classic.import_dfg_from_rows(rows, parameters=None)[source]#
Import a DFG (along with the start and end activities) from the rows of a .dfg file
Parameters#
- rows
Rows the DFG file
- parameters
Possible parameters of the algorithm
Returns#
- dfg
DFG
- start_activities
Start activities
- end_activities
End activities
- pm4py.objects.dfg.importer.variants.classic.apply(file_path, parameters=None)[source]#
Import a DFG (along with the start and end activities) from a .dfg file
Parameters#
- file_path
Path of the DFG file
- parameters
Possible parameters of the algorithm
Returns#
- dfg
DFG
- start_activities
Start activities
- end_activities
End activities
- pm4py.objects.dfg.importer.variants.classic.import_dfg_from_string(dfg_string, parameters=None)[source]#
Import a DFG (along with the start and end activities) from a string representing a .dfg file
Parameters#
- dfg_string
String representing a .dfg file
- parameters
Possible parameters of the algorithm
Returns#
- dfg
DFG
- start_activities
Start activities
- end_activities
End activities