pm4py.statistics.passed_time.log 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/>.

Subpackages#

Submodules#

pm4py.statistics.passed_time.log.algorithm 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.statistics.passed_time.log.algorithm.Variants(value)[source]#

Bases: Enum

An enumeration.

PRE = <module 'pm4py.statistics.passed_time.log.variants.pre' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\statistics\\passed_time\\log\\variants\\pre.py'>#
POST = <module 'pm4py.statistics.passed_time.log.variants.post' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\statistics\\passed_time\\log\\variants\\post.py'>#
PREPOST = <module 'pm4py.statistics.passed_time.log.variants.prepost' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\statistics\\passed_time\\log\\variants\\prepost.py'>#
pm4py.statistics.passed_time.log.algorithm.apply(log: EventLog, activity: str, variant=Variants.PRE, parameters: Optional[Dict[Any, Any]] = None) Dict[str, Any][source]#

Gets statistics on execution times of the paths to/from the activity

Parameters#

log

Log

activity

Activity

variant
Variant:
  • Variants.PRE

  • Variants.POST

  • Variants.PREPOST

parameters

Possible parameters of the algorithm

Returns#

dictio

Dictio containing the times from/to the activity