pm4py.algo.discovery.performance_spectrum.variants package#

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/>.

Submodules#

pm4py.algo.discovery.performance_spectrum.variants.dataframe 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.discovery.performance_spectrum.variants.dataframe.Parameters(value)[source]#

Bases: Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'#
TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#
CASE_ID_KEY = 'pm4py:param:case_id_key'#
ATTRIBUTE_KEY = 'pm4py:param:attribute_key'#
PARAMETER_SAMPLE_SIZE = 'sample_size'#
SORT_LOG_REQUIRED = 'sort_log_required'#
pm4py.algo.discovery.performance_spectrum.variants.dataframe.apply(dataframe: DataFrame, list_activities: List[str], sample_size: int, parameters: Optional[Dict[Union[str, Parameters], Any]] = None) Dict[str, Any][source]#

Finds the performance spectrum provided a dataframe and a list of activities

Parameters#

dataframe

Dataframe

list_activities

List of activities interesting for the performance spectrum (at least two)

sample_size

Size of the sample

parameters
Parameters of the algorithm, including:
  • Parameters.ACTIVITY_KEY

  • Parameters.TIMESTAMP_KEY

  • Parameters.CASE_ID_KEY

Returns#

points

Points of the performance spectrum

pm4py.algo.discovery.performance_spectrum.variants.dataframe_disconnected 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.discovery.performance_spectrum.variants.dataframe_disconnected.Parameters(value)[source]#

Bases: Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'#
TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#
CASE_ID_KEY = 'pm4py:param:case_id_key'#
PARAMETER_SAMPLE_SIZE = 'sample_size'#
SORT_LOG_REQUIRED = 'sort_log_required'#
pm4py.algo.discovery.performance_spectrum.variants.dataframe_disconnected.gen_patterns(pattern, length)[source]#
pm4py.algo.discovery.performance_spectrum.variants.dataframe_disconnected.apply(dataframe: DataFrame, list_activities: List[str], sample_size: int, parameters: Optional[Dict[Union[str, Parameters], Any]] = None) Dict[str, Any][source]#

Finds the disconnected performance spectrum provided a dataframe and a list of activities

Parameters#

dataframe

Dataframe

list_activities

List of activities interesting for the performance spectrum (at least two)

sample_size

Size of the sample

parameters
Parameters of the algorithm, including:
  • Parameters.ACTIVITY_KEY

  • Parameters.TIMESTAMP_KEY

  • Parameters.CASE_ID_KEY

Returns#

points

Points of the performance spectrum

pm4py.algo.discovery.performance_spectrum.variants.dataframe_disconnected.shift_index(index, n)[source]#

pm4py.algo.discovery.performance_spectrum.variants.log 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.discovery.performance_spectrum.variants.log.Parameters(value)[source]#

Bases: Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'#
TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#
CASE_ID_KEY = 'pm4py:param:case_id_key'#
ATTRIBUTE_KEY = 'pm4py:param:attribute_key'#
PARAMETER_SAMPLE_SIZE = 'sample_size'#
SORT_LOG_REQUIRED = 'sort_log_required'#
pm4py.algo.discovery.performance_spectrum.variants.log.apply(log: EventLog, list_activities: List[str], sample_size: int, parameters: Optional[Dict[Union[str, Parameters], Any]] = None) Dict[str, Any][source]#

Finds the performance spectrum provided a log and a list of activities

Parameters#

log

Log

list_activities

List of activities interesting for the performance spectrum (at least two)

sample_size

Size of the sample

parameters
Parameters of the algorithm, including:
  • Parameters.ACTIVITY_KEY

  • Parameters.TIMESTAMP_KEY

Returns#

points

Points of the performance spectrum

pm4py.algo.discovery.performance_spectrum.variants.log_disconnected 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.discovery.performance_spectrum.variants.log_disconnected.Parameters(value)[source]#

Bases: Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'#
TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#
CASE_ID_KEY = 'pm4py:param:case_id_key'#
ATTRIBUTE_KEY = 'pm4py:param:attribute_key'#
PARAMETER_SAMPLE_SIZE = 'sample_size'#
SORT_LOG_REQUIRED = 'sort_log_required'#
pm4py.algo.discovery.performance_spectrum.variants.log_disconnected.apply(log: EventLog, list_activities: List[str], sample_size: int, parameters: Optional[Dict[Union[str, Parameters], Any]] = None) Dict[str, Any][source]#

Finds the disconnected performance spectrum provided a log and a list of activities

Parameters#

log

Log

list_activities

List of activities interesting for the performance spectrum (at least two)

sample_size

Size of the sample

parameters
Parameters of the algorithm, including:
  • Parameters.ACTIVITY_KEY

  • Parameters.TIMESTAMP_KEY

Returns#

points

Points of the performance spectrum