pm4py.objects.ocel.exporter.csv.exporter module#

PM4Py – A Process Mining Library for Python Copyright (C) 2026 Process Intelligence Solutions GmbH

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.ocel.exporter.csv.exporter.Variants(*values)[source]#

Bases: Enum

PANDAS = <module 'pm4py.objects.ocel.exporter.csv.variants.pandas' from '/home/javert/ALE/pm4py/pm4py/objects/ocel/exporter/csv/variants/pandas.py'>#
OCEL20 = <module 'pm4py.objects.ocel.exporter.csv.variants.ocel20' from '/home/javert/ALE/pm4py/pm4py/objects/ocel/exporter/csv/variants/ocel20.py'>#
pm4py.objects.ocel.exporter.csv.exporter.apply(ocel: OCEL, output_path: str, variant=Variants.PANDAS, objects_path=None, parameters: Dict[Any, Any] | None = None)[source]#

Exports an object-centric event log in a CSV file

Parameters:
  • ocel – Object-centric event log

  • output_path – Destination file

  • variant – Variant of the algorithm that should be used, possible values: - Variants.PANDAS

  • objects_path – Optional path, where the objects dataframe is stored

  • parameters – Parameters of the algorithm