pm4py.statistics.passed_time.pandas.algorithm module#

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

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class pm4py.statistics.passed_time.pandas.algorithm.Variants(*values)[source]#

Bases: Enum

PRE = <module 'pm4py.statistics.passed_time.pandas.variants.pre' from '/home/javert/ALE/pm4py/pm4py/statistics/passed_time/pandas/variants/pre.py'>#
POST = <module 'pm4py.statistics.passed_time.pandas.variants.post' from '/home/javert/ALE/pm4py/pm4py/statistics/passed_time/pandas/variants/post.py'>#
PREPOST = <module 'pm4py.statistics.passed_time.pandas.variants.prepost' from '/home/javert/ALE/pm4py/pm4py/statistics/passed_time/pandas/variants/prepost.py'>#
pm4py.statistics.passed_time.pandas.algorithm.apply(df: DataFrame, activity: str, variant=Variants.PRE, parameters: Dict[Any, Any] | None = None) → Dict[str, Any][source]#

Gets statistics on execution times of the paths to/from the activity

Parameters:

  • df – Dataframe

  • activity – Activity

  • variant –

    Variant:

    • Variants.PRE

    • Variants.POST

    • Variants.PREPOST

  • parameters – Possible parameters of the algorithm

Returns:

Dictio containing the times from/to the activity

Return type:

dictio