pm4py.objects.ocel.importer.csv.variants package#

PM4Py – A Process Mining Library for Python

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.ocel.importer.csv.variants.pandas module#

PM4Py – A Process Mining Library for Python

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.importer.csv.variants.pandas.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

ENCODING = 'encoding'#

pm4py.objects.ocel.importer.csv.variants.pandas.apply(file_path: str, objects_path: str = None, parameters: Dict[Any, Any] | None = None) → OCEL[source]#

Imports an object-centric event log from a CSV file, using Pandas as backend

Parameters#

file_path: Path to the object-centric event log
objects_path: Optional path to a CSV file containing the objects dataframe
parameters: Parameters of the algorithm

Returns#

ocel: Object-centric event log