pm4py.algo.organizational_mining.sna.variants.pandas package¶

Submodules¶

pm4py.algo.organizational_mining.sna.variants.pandas.handover module¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

class pm4py.algo.organizational_mining.sna.variants.pandas.handover.Parameters[source]¶

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'¶

BETA = 'beta'¶

CASE_ID_KEY = 'pm4py:param:case_id_key'¶

RESOURCE_KEY = 'pm4py:param:resource_key'¶

pm4py.algo.organizational_mining.sna.variants.pandas.handover.apply(log: pandas.core.frame.DataFrame, parameters: Optional[Dict[Union[str, pm4py.algo.organizational_mining.sna.variants.pandas.handover.Parameters], Any]] = None) → List[Any][source]¶

Calculates the HW metric

Parameters:	log – Log parameters – Possible parameters of the algorithm: Paramters.BETA -> beta value as described in the Wil SNA paper
Returns:	Tuple containing the metric matrix and the resources list. Moreover, last boolean indicates that the metric is directed.
Return type:	tuple

pm4py.algo.organizational_mining.sna.variants.pandas.jointactivities module¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

class pm4py.algo.organizational_mining.sna.variants.pandas.jointactivities.Parameters[source]¶

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'¶

METRIC_NORMALIZATION = 'metric_normalization'¶

RESOURCE_KEY = 'pm4py:param:resource_key'¶

pm4py.algo.organizational_mining.sna.variants.pandas.jointactivities.apply(log: pandas.core.frame.DataFrame, parameters: Optional[Dict[Union[str, pm4py.algo.organizational_mining.sna.variants.pandas.jointactivities.Parameters], Any]] = None) → List[Any][source]¶

Calculates the Joint Activities / Similar Task metric

Parameters:	log – Log parameters – Possible parameters of the algorithm
Returns:	Tuple containing the metric matrix and the resources list. Moreover, last boolean indicates that the metric is directed.
Return type:	tuple

pm4py.algo.organizational_mining.sna.variants.pandas.subcontracting module¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

class pm4py.algo.organizational_mining.sna.variants.pandas.subcontracting.Parameters[source]¶

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'¶

CASE_ID_KEY = 'pm4py:param:case_id_key'¶

N = 'n'¶

RESOURCE_KEY = 'pm4py:param:resource_key'¶

pm4py.algo.organizational_mining.sna.variants.pandas.subcontracting.apply(log: pandas.core.frame.DataFrame, parameters: Optional[Dict[Union[str, pm4py.algo.organizational_mining.sna.variants.pandas.subcontracting.Parameters], Any]] = None) → List[Any][source]¶

Calculates the Subcontracting metric

Parameters:	log – Log parameters – Possible parameters of the algorithm: Parameters.N -> n of the algorithm proposed in the Wil SNA paper
Returns:	Tuple containing the metric matrix and the resources list
Return type:	tuple

pm4py.algo.organizational_mining.sna.variants.pandas.working_together module¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

class pm4py.algo.organizational_mining.sna.variants.pandas.working_together.Parameters[source]¶

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'¶

CASE_ID_KEY = 'pm4py:param:case_id_key'¶

METRIC_NORMALIZATION = 'metric_normalization'¶

RESOURCE_KEY = 'pm4py:param:resource_key'¶

pm4py.algo.organizational_mining.sna.variants.pandas.working_together.apply(log: pandas.core.frame.DataFrame, parameters: Optional[Dict[Union[str, pm4py.algo.organizational_mining.sna.variants.pandas.working_together.Parameters], Any]] = None) → List[Any][source]¶

Calculates the Working Together metric

Parameters:	log – Log parameters – Possible parameters of the algorithm
Returns:	Tuple containing the metric matrix and the resources list. Moreover, last boolean indicates that the metric is not directed.
Return type:	tuple

Module contents¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.