pm4py.util.nx_utils module#

class pm4py.util.nx_utils.Parameters(*values)[source]#

Bases: Enum

SHOW_PROGRESS_BAR = 'show_progress_bar'#
pm4py.util.nx_utils.get_default_nx_environment()[source]#
pm4py.util.nx_utils.Graph(*args, **kwargs)[source]#
pm4py.util.nx_utils.DiGraph(*args, **kwargs)[source]#
pm4py.util.nx_utils.MultiGraph(*args, **kwargs)[source]#
pm4py.util.nx_utils.MultiDiGraph(*args, **kwargs)[source]#
pm4py.util.nx_utils.ancestors(*args, **kwargs)[source]#
pm4py.util.nx_utils.descendants(*args, **kwargs)[source]#
pm4py.util.nx_utils.connected_components(*args, **kwargs)[source]#
pm4py.util.nx_utils.bfs_tree(*args, **kwargs)[source]#
pm4py.util.nx_utils.contracted_nodes(*args, **kwargs)[source]#
pm4py.util.nx_utils.shortest_path(*args, **kwargs)[source]#
pm4py.util.nx_utils.strongly_connected_components(*args, **kwargs)[source]#
pm4py.util.nx_utils.has_path(*args, **kwargs)[source]#
pm4py.util.nx_utils.is_strongly_connected(*args, **kwargs)[source]#
pm4py.util.nx_utils.all_pairs_shortest_path(*args, **kwargs)[source]#
pm4py.util.nx_utils.all_pairs_dijkstra(*args, **kwargs)[source]#
pm4py.util.nx_utils.find_cliques(*args, **kwargs)[source]#
pm4py.util.nx_utils.degree_centrality(*args, **kwargs)[source]#
pm4py.util.nx_utils.greedy_modularity_communities(*args, **kwargs)[source]#
pm4py.util.nx_utils.maximum_flow_value(*args, **kwargs)[source]#
pm4py.util.nx_utils.minimum_weight_full_matching(*args, **kwargs)[source]#
pm4py.util.nx_utils.Edmonds(*args, **kwargs)[source]#
pm4py.util.nx_utils.neo4j_upload(nx_graph: DiGraph, session, clean_db: bool = True, parameters: Dict[Any, Any] | None = None)[source]#

Uploads a NetworkX DiGraph obtained from a traditional/object-centric event log to a Neo4J session

Parameters:

  • nx_graph – NetworkX graph

  • session – Neo4J session

  • clean_db – Cleans the database before uploading

  • parameters – Other optional parameters of the method, including: - Parameters.SHOW_PROGRESS_BAR => shows the percentage of nodes/edges uploaded to Neo4J

pm4py.util.nx_utils.neo4j_download(session, parameters: Dict[Any, Any] | None = None) → DiGraph[source]#

Downloads a NetworkX DiGraph starting from a Neo4J database.

Parameters:

  • session – Neo4J session

  • parameters – Optional parameters of the method.

Returns:

NetworkX DiGraph

Return type:

nx_graph

pm4py.util.nx_utils.nx_to_ocel(nx_graph: DiGraph, parameters: Dict[Any, Any] | None = None)[source]#

Transforms a NetworkX DiGraph representing an OCEL to a proper OCEL.

Parameters:

  • nx_graph – NetworkX DiGraph

  • parameters – Optional parameters of the method

Returns:

Object-centric event log

Return type:

ocel

pm4py.util.nx_utils.nx_to_event_log(nx_graph: DiGraph, parameters: Dict[Any, Any] | None = None)[source]#

Transforms a NetworkX DiGraph representing a traditional event log to a proper event log.

Parameters:

  • nx_graph – NetworkX DiGraph

  • parameters – Optional parameters of the method

Returns:

Traditional event log.

Return type:

event_log