pm4py.algo.discovery.ocel.interleavings.algorithm module#

PM4Py – A Process Mining Library for Python

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class pm4py.algo.discovery.ocel.interleavings.algorithm.Variants(*values)[source]#

Bases: Enum

TIMESTAMP_INTERLEAVINGS = <module 'pm4py.algo.discovery.ocel.interleavings.variants.timestamp_interleavings' from '/home/berti/pm4py/pm4py/algo/discovery/ocel/interleavings/variants/timestamp_interleavings.py'>#
pm4py.algo.discovery.ocel.interleavings.algorithm.apply(left_df: DataFrame, right_df: DataFrame, case_relations: DataFrame, variant=Variants.TIMESTAMP_INTERLEAVINGS, parameters: Dict[Any, Any] | None = None)[source]#

Discover the interleavings between two dataframes, given also a dataframe about the relations of the cases.

Parameters:

  • left_df – Left dataframe

  • right_df – Right dataframe

  • case_relations – Dictionary associating the cases of the first dataframe (column: case:concept:name_LEFT) to the cases of the second dataframe (column: case:concept:name_RIGHT)

  • variant – Variant of the algorithm to be used, possible values: - Variants.TIMESTAMP_INTERLEAVINGS

  • parameters – Variant-specific parameters

Returns:

Interleavings dataframe

Return type:

interleavings