pm4py.objects.conversion.ocel.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.conversion.ocel.variants.ocel_features_to_nx 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.conversion.ocel.variants.ocel_features_to_nx.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

INCLUDE_OBJ_INTERACTION_GRAPH = 'include_obj_interaction_graph'#

INCLUDE_OBJ_DESCENDANTS_GRAPH = 'include_obj_descendants_graph'#

INCLUDE_OBJ_INHERITANCE_GRAPH = 'include_obj_inheritance_graph'#

INCLUDE_OBJ_COBIRTH_GRAPH = 'include_obj_cobirth_graph'#

INCLUDE_OBJ_CODEATH_GRAPH = 'include_obj_codeath_graph'#

pm4py.objects.conversion.ocel.variants.ocel_features_to_nx.apply(ocel: OCEL, parameters: Dict[Any, Any] | None = None)[source]#

Converts the graphs of features extracted from an OCEL to a NetworkX DiGraph object

Parameters#

ocel: Object-centric event log
parameters: Parameters of the algorithm, including: - Parameters.INCLUDE_OBJ_INTERACTION_GRAPH => includes the object interaction graph in the NX DiGraph - Parameters.INCLUDE_OBJ_DESCENDANTS_GRAPH => includes the object descendants graph in the NX DiGraph - Parameters.INCLUDE_OBJ_INHERITANCE_GRAPH => includes the object inheritance graph in the NX DiGraph - Parameters.INCLUDE_OBJ_COBIRTH_GRAPH => includes the object cobirth graph in the NX DiGraph - Parameters.INCLUDE_OBJ_CODEATH_GRAPH => includes the object codeath graph in the NX DiGraph

Returns#

G: NetworkX DiGraph

pm4py.objects.conversion.ocel.variants.ocel_to_nx 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.conversion.ocel.variants.ocel_to_nx.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

INCLUDE_DF = 'include_df'#

INCLUDE_OBJECT_CHANGES = 'include_object_changes'#

pm4py.objects.conversion.ocel.variants.ocel_to_nx.apply(ocel: OCEL, parameters: Dict[Any, Any] | None = None)[source]#

Converts an OCEL to a NetworkX DiGraph object. The nodes are the events and objects of the OCEL. The edges are of two different types: - relation edges, connecting an event to its related objects - directly-follows edges, connecting an event to a following event (in the lifecycle of one of the related objects)

Parameters#

ocel: Object-centric event log
parameters: Parameters of the algorithm, including: - Parameters.INCLUDE_DF => include the directly-follows relationship

Returns#

G: NetworkX DiGraph