pm4py.algo.merging.case_relations 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.algo.merging.case_relations.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.algo.merging.case_relations.algorithm.Variants(value)[source]#

Bases: Enum

An enumeration.

PANDAS = <module 'pm4py.algo.merging.case_relations.variants.pandas' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\merging\\case_relations\\variants\\pandas.py'>#
pm4py.algo.merging.case_relations.algorithm.apply(dataframe1: DataFrame, dataframe2: DataFrame, case_relations: DataFrame, variant=Variants.PANDAS, parameters: Optional[Dict[Any, Any]] = None) DataFrame[source]#

Merges the two dataframes (dataframe1 and dataframe2), inserting the events of the second dataframe inside the cases of the first dataframe. This is done using a background knowledge provided in the case_relations dataframe, where the cases of the two dataframes are put in relations. E.g., if in dataframe1 and dataframe2 there are two case ID columns (case:concept:name), they are put in relations by case_relations having two columns case:concept:name_LEFT and case:concept:name_RIGHT

Parameters#

dataframe1

Reference dataframe (in which the events of the other dataframe are inserted)

dataframe2

Second dataframe (to insert in the cases of the first)

case_relations

Case relations dataframe

variant
Variant of the algorithm to use, available ones:
  • Variants.PANDAS

parameters

Variant-specific parameters

Returns#

merged_dataframe

Merged dataframe