pm4py.statistics.attributes.common.get module#

PM4Py – A Process Mining Library for Python

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class pm4py.statistics.attributes.common.get.Parameters(*values)[source]#

Bases: Enum

GRAPH_POINTS = 'graph_points'#
POINT_TO_SAMPLE = 'points_to_sample'#
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

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_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 (including the exact min and max)

  • 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_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