pm4py.statistics.attributes.common package

Submodules

pm4py.statistics.attributes.common.get module

class pm4py.statistics.attributes.common.get.Parameters(value)[source]

Bases: enum.Enum

An enumeration.

GRAPH_POINTS = 'graph_points'
POINT_TO_SAMPLE = 'points_to_sample'
pm4py.statistics.attributes.common.get.get_attributes_threshold(alist, decreasing_factor, min_activity_count=1, max_activity_count=25)[source]

Get attributes cutting threshold

Parameters
  • alist – Sorted attributes list

  • decreasing_factor – Decreasing factor of the algorithm

  • min_activity_count – Minimum number of activities to include

  • max_activity_count – Maximum number of activities to include

Returns

Activities cutting threshold

Return type

threshold

pm4py.statistics.attributes.common.get.get_kde_date_attribute(values, parameters=None)[source]

Gets the KDE estimation for the distribution of a date attribute values

Parameters
  • values – Values of the date attribute value

  • parameters

    Possible parameters of the algorithm, including:

    graph_points -> number of points to include in the graph

Returns

  • x – X-axis values to represent

  • y – Y-axis values to represent

pm4py.statistics.attributes.common.get.get_kde_date_attribute_json(values, parameters=None)[source]

Gets the KDE estimation for the distribution of a date attribute values (expressed as JSON)

Parameters
  • values – Values of the date attribute value

  • parameters

    Possible parameters of the algorithm, including:

    graph_points: number of points to include in the graph

Returns

JSON representing the graph points

Return type

json

pm4py.statistics.attributes.common.get.get_kde_numeric_attribute(values, parameters=None)[source]

Gets the KDE estimation for the distribution of a numeric attribute values

Parameters
  • values – Values of the numeric attribute value

  • parameters

    Possible parameters of the algorithm, including:

    graph_points -> number of points to include in the graph

Returns

  • x – X-axis values to represent

  • y – Y-axis values to represent

pm4py.statistics.attributes.common.get.get_kde_numeric_attribute_json(values, parameters=None)[source]

Gets the KDE estimation for the distribution of a numeric attribute values (expressed as JSON)

Parameters
  • values – Values of the numeric attribute value

  • parameters

    Possible parameters of the algorithm, including:

    graph_points: number of points to include in the graph

Returns

JSON representing the graph points

Return type

json

pm4py.statistics.attributes.common.get.get_sorted_attributes_list(attributes)[source]

Gets sorted attributes list

Parameters

attributes – Dictionary of attributes associated with their count

Returns

Sorted end attributes list

Return type

listact

Module contents