pm4py.algo.label_splitting.algorithm module#

class pm4py.algo.label_splitting.algorithm.Variants(*values)[source]#

Bases: Enum

CONTEXTUAL = <module 'pm4py.algo.label_splitting.variants.contextual' from '/Users/chris/Desktop/PIS/pm4py2/pm4py/pm4py/algo/label_splitting/variants/contextual.py'>#
pm4py.algo.label_splitting.algorithm.apply(log: EventLog | EventStream | DataFrame, variant=Variants.CONTEXTUAL, parameters: Dict[Any, Any] | None = None) → DataFrame[source]#

Applies a technique of label-splitting, to distinguish between different meanings of the same activity. The result is a Pandas dataframe where the label-splitting has been applied.

Minimum Viable Example:

import pm4py from pm4py.algo.label_splitting import algorithm as label_splitter

log = pm4py.read_xes(“tests/input_data/receipt.xes”) log2 = label_splitter.apply(log)

Parameters:

  • log – Event log

  • parameters – Variant-specific parameters

Returns:

Pandas dataframe with the re-labeling

Return type:

dataframe