pm4py.algo.discovery.ocel.interleavings.utils package#

PM4Py â€“ 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.discovery.ocel.interleavings.utils.merge_dataframe_rel_cases 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.discovery.ocel.interleavings.utils.merge_dataframe_rel_cases.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

ACTIVITY_KEY = 'pm4py:param:activity_key'#

TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#

CASE_ID_KEY = 'pm4py:param:case_id_key'#

LEFT_SUFFIX = 'left_suffix'#

RIGHT_SUFFIX = 'right_suffix'#

INDEX_KEY = 'index_key'#

pm4py.algo.discovery.ocel.interleavings.utils.merge_dataframe_rel_cases.directly_follows_dataframe(dataframe: DataFrame, parameters: Dict[Any, Any] | None = None)[source]#: Calculates the directly-follows dataframe (internal usage)

pm4py.algo.discovery.ocel.interleavings.utils.merge_dataframe_rel_cases.merge_dataframes(left_df: DataFrame, right_df: DataFrame, case_relations: DataFrame, parameters: Dict[Any, Any] | None = None)[source]#

Merge the two dataframes based on the provided case relations

Parameters#

left_df: First dataframe to merge
right_df: Second dataframe to merge
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)
parameters: Parameters of the algorithm, including: - Parameters.CASE_ID_KEY => the case ID - Parameters.LEFT_SUFFIX => the suffix for the columns of the left dataframe - Parameters.RIGHT_SUFFIX => the suffix for the columns of the right dataframe

Returns#

merged_df: Merged dataframe