pm4py.algo.discovery.ocel.interleavings 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

Subpackages#

Submodules#

pm4py.algo.discovery.ocel.interleavings.algorithm 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.discovery.ocel.interleavings.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

TIMESTAMP_INTERLEAVINGS = <module 'pm4py.algo.discovery.ocel.interleavings.variants.timestamp_interleavings' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\discovery\\ocel\\interleavings\\variants\\timestamp_interleavings.py'>#
pm4py.algo.discovery.ocel.interleavings.algorithm.apply(left_df: DataFrame, right_df: DataFrame, case_relations: DataFrame, variant=Variants.TIMESTAMP_INTERLEAVINGS, parameters: Dict[Any, Any] | None = None)[source]#

Discover the interleavings between two dataframes, given also a dataframe about the relations of the cases.

Parameters#

left_df

Left dataframe

right_df

Right dataframe

case_relations

Dictionary associating the cases of the first dataframe (column: case:concept:name_LEFT) to the cases of the second dataframe (column: case:concept:name_RIGHT)

variant

Variant of the algorithm to be used, possible values: - Variants.TIMESTAMP_INTERLEAVINGS

parameters

Variant-specific parameters

Returns#

interleavings

Interleavings dataframe