pm4py.algo.organizational_mining.roles.variants package#

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

Submodules#

pm4py.algo.organizational_mining.roles.variants.log module#

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

class pm4py.algo.organizational_mining.roles.variants.log.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

ROLES_THRESHOLD_PARAMETER = 'roles_threshold_parameter'#
RESOURCE_KEY = 'pm4py:param:resource_key'#
ACTIVITY_KEY = 'pm4py:param:activity_key'#
pm4py.algo.organizational_mining.roles.variants.log.apply(log: EventLog, parameters: Dict[str | Parameters, Any] | None = None) List[Role][source]#

Gets the roles (group of different activities done by similar resources) out of the log

Parameters#

log

Log object

parameters

Possible parameters of the algorithm

Returns#

roles

List of different roles inside the log

pm4py.algo.organizational_mining.roles.variants.pandas module#

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

class pm4py.algo.organizational_mining.roles.variants.pandas.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

ROLES_THRESHOLD_PARAMETER = 'roles_threshold_parameter'#
RESOURCE_KEY = 'pm4py:param:resource_key'#
ACTIVITY_KEY = 'pm4py:param:activity_key'#
pm4py.algo.organizational_mining.roles.variants.pandas.apply(df: DataFrame, parameters: Dict[str | Parameters, Any] | None = None) List[Role][source]#

Gets the roles (group of different activities done by similar resources) out of the log

Parameters#

df

Pandas dataframe

parameters

Possible parameters of the algorithm

Returns#

roles

List of different roles inside the log