pm4py.statistics.process_cube.polars.algorithm module

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

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class pm4py.statistics.process_cube.polars.algorithm.Variants(*values)

Bases: Enum

CLASSIC = <module 'pm4py.statistics.process_cube.polars.variants.classic' from '/home/javert/ALE/pm4py/pm4py/statistics/process_cube/polars/variants/classic.py'>

pm4py.statistics.process_cube.polars.algorithm.apply(feature_table: polars.LazyFrame | polars.DataFrame, x_col: str | Tuple[str, ...], y_col: str | Tuple[str, ...], agg_col: str, variant=Variants.CLASSIC, parameters: Dict[Any, Any] | None = None) → Tuple[polars.DataFrame, Dict[Any, Any]]

Applies the selected process cube variant using Polars data structures.

The X/Y dimension definitions can be provided as a string (single attribute) or as a tuple of attribute names to build composite bins.