pm4py.algo.discovery.footprints.log.variants package

Submodules

pm4py.algo.discovery.footprints.log.variants.entire_dataframe module

class pm4py.algo.discovery.footprints.log.variants.entire_dataframe.Outputs(value)[source]

Bases: enum.Enum

An enumeration.

ACTIVITIES = 'activities'
ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'
DFG = 'dfg'
END_ACTIVITIES = 'end_activities'
MIN_TRACE_LENGTH = 'min_trace_length'
PARALLEL = 'parallel'
SEQUENCE = 'sequence'
SKIPPABLE = 'skippable'
START_ACTIVITIES = 'start_activities'
TRACE = 'trace'
class pm4py.algo.discovery.footprints.log.variants.entire_dataframe.Parameters(value)[source]

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'
CASE_ID_KEY = 'case_id_glue'
INDEX_KEY = 'index_key'
SORT_REQUIRED = 'sort_required'
START_TIMESTAMP_KEY = 'pm4py:param:start_timestamp_key'
TIMESTAMP_KEY = 'pm4py:param:timestamp_key'
pm4py.algo.discovery.footprints.log.variants.entire_dataframe.apply(df, parameters=None)[source]

Discovers a footprint object from a dataframe (the footprints of the dataframe are returned)

Parameters
  • df – Dataframe

  • parameters – Parameters of the algorithm

Returns

Footprints object

Return type

footprints_obj

pm4py.algo.discovery.footprints.log.variants.entire_event_log module

class pm4py.algo.discovery.footprints.log.variants.entire_event_log.Outputs(value)[source]

Bases: enum.Enum

An enumeration.

ACTIVITIES = 'activities'
ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'
DFG = 'dfg'
END_ACTIVITIES = 'end_activities'
MIN_TRACE_LENGTH = 'min_trace_length'
PARALLEL = 'parallel'
SEQUENCE = 'sequence'
SKIPPABLE = 'skippable'
START_ACTIVITIES = 'start_activities'
TRACE = 'trace'
class pm4py.algo.discovery.footprints.log.variants.entire_event_log.Parameters(value)[source]

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'
pm4py.algo.discovery.footprints.log.variants.entire_event_log.apply(log, parameters=None)[source]

Discovers a footprint object from an event log (the footprints of the event log are returned)

Parameters
  • log – Log

  • parameters

    Parameters of the algorithm:
    • Parameters.ACTIVITY_KEY

Returns

Footprints object

Return type

footprints_obj

pm4py.algo.discovery.footprints.log.variants.trace_by_trace module

class pm4py.algo.discovery.footprints.log.variants.trace_by_trace.Outputs(value)[source]

Bases: enum.Enum

An enumeration.

ACTIVITIES = 'activities'
ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'
DFG = 'dfg'
END_ACTIVITIES = 'end_activities'
MIN_TRACE_LENGTH = 'min_trace_length'
PARALLEL = 'parallel'
SEQUENCE = 'sequence'
SKIPPABLE = 'skippable'
START_ACTIVITIES = 'start_activities'
TRACE = 'trace'
class pm4py.algo.discovery.footprints.log.variants.trace_by_trace.Parameters(value)[source]

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'
pm4py.algo.discovery.footprints.log.variants.trace_by_trace.apply(log, parameters=None)[source]

Discovers a footprint object from an event log (the footprints are returned case-by-case)

Parameters
  • log – Log

  • parameters

    Parameters of the algorithm:
    • Parameters.ACTIVITY_KEY

Returns

List of footprints for the cases of the log

Return type

footprints_obj

Module contents