pm4py.algo.discovery.performance_spectrum.variants.lazyframe_disconnected module

PM4Py – A Process Mining Library for Python Copyright (C) 2026 Process Intelligence Solutions GmbH

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class pm4py.algo.discovery.performance_spectrum.variants.lazyframe_disconnected.Parameters(*values)

Bases: Enum

ACTIVITY_KEY = 'pm4py:param:activity_key'

TIMESTAMP_KEY = 'pm4py:param:timestamp_key'

CASE_ID_KEY = 'pm4py:param:case_id_key'

PARAMETER_SAMPLE_SIZE = 'sample_size'

SORT_LOG_REQUIRED = 'sort_log_required'

pm4py.algo.discovery.performance_spectrum.variants.lazyframe_disconnected.gen_patterns(pattern: List[str], length: int) → List[str]

pm4py.algo.discovery.performance_spectrum.variants.lazyframe_disconnected.apply(dataframe: polars.LazyFrame, list_activities: List[str], sample_size: int, parameters: Dict[str | Parameters, Any] | None = None) → Dict[str, Any]

Compute disconnected performance spectrum using a Polars LazyFrame.