pm4py.algo.organizational_mining.util module#

class pm4py.algo.organizational_mining.util.Parameters(*values)[source]#

Bases: Enum

RESOURCE_KEY = 'pm4py:param:resource_key'#
ACTIVITY_KEY = 'pm4py:param:activity_key'#
GROUP_KEY = 'pm4py:param:group_key'#
pm4py.algo.organizational_mining.util.get_groups_from_log(log_obj: DataFrame | EventLog, parameters: Dict[Any, str] | None = None) → Dict[str, Dict[str, int]][source]#

From the log object, where events have a group, a resource and an activity attribute, gets a dictionary where the first key is a group, the second key is a resource and the value is the number of events done by the resource when belonging to the given group.

Parameters:

  • log_obj – Log object

  • parameters – Parameters of the algorithm, including: - Parameters.RESOURCE_KEY => the resource attribute - Parameters.ACTIVITY_KEY => the activity attribute - Parameters.GROUP_KEY => the group

Returns:

Aforementioned dictionary

Return type:

dict

pm4py.algo.organizational_mining.util.get_res_act_from_log(log_obj: DataFrame | EventLog, parameters: Dict[Any, str] | None = None) → Tuple[Dict[str, Dict[str, int]], Dict[str, Dict[str, int]]][source]#

From the log object, where events have a group, a resource and an activity attribute, gets two dictionaries: - The first, where the first key is the resource, the second key is the activity and the third is the number of

events of the given activity done by the given resource

  • The second, where the first key is the activity, the second key is the resource and the third is the number of

    events of the given activity done by the given resource

Parameters:

  • log_obj – Log object

  • parameters – Parameters of the algorithm, including: - Parameters.RESOURCE_KEY => the resource attribute - Parameters.ACTIVITY_KEY => the activity attribute - Parameters.GROUP_KEY => the group

Returns:

  • res_act – Dictionary resources-activities-occurrences

  • act_res – Dictionary activities-resources-occurrences

pm4py.algo.organizational_mining.util.get_resources_from_log(log_obj: DataFrame | EventLog, parameters: Dict[Any, str] | None = None) → Dict[str, int][source]#

Gets the resources, along with the respective number of events, from the log object

Parameters:

  • log_obj – Log object

  • parameters – Parameters of the algorithm, including: - Parameters.RESOURCE_KEY => the resource attribute - Parameters.ACTIVITY_KEY => the activity attribute - Parameters.GROUP_KEY => the group

Returns:

Dictionary of resources along with their occurrences

Return type:

resources_dictionary