pm4py.algo.discovery.performance_spectrum.variants package

Submodules

pm4py.algo.discovery.performance_spectrum.variants.dataframe module

class pm4py.algo.discovery.performance_spectrum.variants.dataframe.Parameters(value)[source]

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'
ATTRIBUTE_KEY = 'pm4py:param:attribute_key'
CASE_ID_KEY = 'case_id_glue'
PARAMETER_SAMPLE_SIZE = 'sample_size'
SORT_LOG_REQUIRED = 'sort_log_required'
TIMESTAMP_KEY = 'pm4py:param:timestamp_key'
pm4py.algo.discovery.performance_spectrum.variants.dataframe.apply(dataframe, list_activities, sample_size, parameters)[source]

Finds the performance spectrum provided a dataframe and a list of activities

Parameters
  • dataframe – Dataframe

  • list_activities – List of activities interesting for the performance spectrum (at least two)

  • sample_size – Size of the sample

  • parameters

    Parameters of the algorithm, including:
    • Parameters.ACTIVITY_KEY

    • Parameters.TIMESTAMP_KEY

    • Parameters.CASE_ID_KEY

Returns

Points of the performance spectrum

Return type

points

pm4py.algo.discovery.performance_spectrum.variants.dataframe_disconnected module

class pm4py.algo.discovery.performance_spectrum.variants.dataframe_disconnected.Parameters(value)[source]

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'
CASE_ID_KEY = 'case_id_glue'
PARAMETER_SAMPLE_SIZE = 'sample_size'
SORT_LOG_REQUIRED = 'sort_log_required'
TIMESTAMP_KEY = 'pm4py:param:timestamp_key'
pm4py.algo.discovery.performance_spectrum.variants.dataframe_disconnected.apply(dataframe, list_activities, sample_size, parameters)[source]

Finds the disconnected performance spectrum provided a dataframe and a list of activities

Parameters
  • dataframe – Dataframe

  • list_activities – List of activities interesting for the performance spectrum (at least two)

  • sample_size – Size of the sample

  • parameters

    Parameters of the algorithm, including:
    • Parameters.ACTIVITY_KEY

    • Parameters.TIMESTAMP_KEY

    • Parameters.CASE_ID_KEY

Returns

Points of the performance spectrum

Return type

points

pm4py.algo.discovery.performance_spectrum.variants.dataframe_disconnected.gen_patterns(pattern, length)[source]
pm4py.algo.discovery.performance_spectrum.variants.dataframe_disconnected.shift_index(index, n)[source]

pm4py.algo.discovery.performance_spectrum.variants.log module

class pm4py.algo.discovery.performance_spectrum.variants.log.Parameters(value)[source]

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'
ATTRIBUTE_KEY = 'pm4py:param:attribute_key'
CASE_ID_KEY = 'case_id_glue'
PARAMETER_SAMPLE_SIZE = 'sample_size'
SORT_LOG_REQUIRED = 'sort_log_required'
TIMESTAMP_KEY = 'pm4py:param:timestamp_key'
pm4py.algo.discovery.performance_spectrum.variants.log.apply(log, list_activities, sample_size, parameters)[source]

Finds the performance spectrum provided a log and a list of activities

Parameters
  • log – Log

  • list_activities – List of activities interesting for the performance spectrum (at least two)

  • sample_size – Size of the sample

  • parameters

    Parameters of the algorithm, including:
    • Parameters.ACTIVITY_KEY

    • Parameters.TIMESTAMP_KEY

Returns

Points of the performance spectrum

Return type

points

pm4py.algo.discovery.performance_spectrum.variants.log_disconnected module

class pm4py.algo.discovery.performance_spectrum.variants.log_disconnected.Parameters(value)[source]

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'
ATTRIBUTE_KEY = 'pm4py:param:attribute_key'
CASE_ID_KEY = 'case_id_glue'
PARAMETER_SAMPLE_SIZE = 'sample_size'
SORT_LOG_REQUIRED = 'sort_log_required'
TIMESTAMP_KEY = 'pm4py:param:timestamp_key'
pm4py.algo.discovery.performance_spectrum.variants.log_disconnected.apply(log, list_activities, sample_size, parameters)[source]

Finds the disconnected performance spectrum provided a log and a list of activities

Parameters
  • log – Log

  • list_activities – List of activities interesting for the performance spectrum (at least two)

  • sample_size – Size of the sample

  • parameters

    Parameters of the algorithm, including:
    • Parameters.ACTIVITY_KEY

    • Parameters.TIMESTAMP_KEY

Returns

Points of the performance spectrum

Return type

points

Module contents