# pm4py.algo.merging.case_relations package

## pm4py.algo.merging.case_relations.algorithm module

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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.

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

Bases: enum.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: pandas.core.frame.DataFrame, dataframe2: pandas.core.frame.DataFrame, case_relations: pandas.core.frame.DataFrame, variant=Variants.PANDAS, parameters: Optional[Dict[Any, Any]] = None) pandas.core.frame.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

Return type

merged_dataframe