pm4py.algo.merging.case_relations.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.algo.merging.case_relations.variants.pandas 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

class pm4py.algo.merging.case_relations.variants.pandas.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#

CASE_ID_KEY = 'pm4py:param:case_id_key'#

LEFT_SUFFIX = 'left_suffix'#

RIGHT_SUFFIX = 'right_suffix'#

pm4py.algo.merging.case_relations.variants.pandas.apply(dataframe1: DataFrame, dataframe2: DataFrame, case_relations: DataFrame, parameters: Dict[Any, Any] | None = 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
parameters: Parameters of the algorithm, including: - Parameters.TIMESTAMP_KEY => the timestamp key to use (default: time:timestamp) - Parameters.CASE_ID_KEY => the case identifier to use (default: case:concept:name) - Parameters.LEFT_SUFFIX => the suffix to the case identifier column of the first dataframe - Parameters.RIGHT_SUFFIX => the suffix to the case identifier column of the second dataframe

Returns#

merged_dataframe: Merged dataframe