pm4py.statistics.passed_time.log.variants package#

PM4Py – A Process Mining Library for Python

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.statistics.passed_time.log.variants.post module#

PM4Py – A Process Mining Library for Python

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

pm4py.statistics.passed_time.log.variants.post.apply(log: EventLog, activity: str, parameters: Dict[Any, Any] | None = None) → Dict[str, Any][source]#

Gets the time passed to each succeeding activity

Parameters#

log: Log
activity: Activity that we are considering
parameters: Possible parameters of the algorithm

Returns#

dictio: Dictionary containing a ‘post’ key with the list of aggregates times from the given activity to each succeeding activity

pm4py.statistics.passed_time.log.variants.pre module#

PM4Py – A Process Mining Library for Python

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

pm4py.statistics.passed_time.log.variants.pre.apply(log: EventLog, activity: str, parameters: Dict[Any, Any] | None = None) → Dict[str, Any][source]#

Gets the time passed from each preceding activity

Parameters#

log: Log
activity: Activity that we are considering
parameters: Possible parameters of the algorithm

Returns#

dictio: Dictionary containing a ‘pre’ key with the list of aggregates times from each preceding activity to the given activity

pm4py.statistics.passed_time.log.variants.prepost module#

PM4Py – A Process Mining Library for Python

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

pm4py.statistics.passed_time.log.variants.prepost.apply(log: EventLog, activity: str, parameters: Dict[Any, Any] | None = None) → Dict[str, Any][source]#

Gets the time passed from each preceding activity and to each succeeding activity

Parameters#

log: Log
activity: Activity that we are considering
parameters: Possible parameters of the algorithm

Returns#

dictio: Dictionary containing a ‘pre’ key with the list of aggregated times from each preceding activity to the given activity and a ‘post’ key with the list of aggregates times from the given activity to each succeeding activity