pm4py.statistics.concurrent_activities.pandas 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
Submodules#
pm4py.statistics.concurrent_activities.pandas.get 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.statistics.concurrent_activities.pandas.get.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'#
- CASE_ID_KEY = 'pm4py:param:case_id_key'#
- TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#
- START_TIMESTAMP_KEY = 'pm4py:param:start_timestamp_key'#
- STRICT = 'strict'#
- pm4py.statistics.concurrent_activities.pandas.get.apply(dataframe: DataFrame, parameters: Dict[str | Parameters, Any] | None = None) Dict[Tuple[str, str], int][source]#
Gets the number of times for which two activities have been concurrent in the log
Parameters#
- dataframe
Pandas dataframe
- parameters
Parameters of the algorithm, including: - Parameters.ACTIVITY_KEY => activity key - Parameters.CASE_ID_KEY => case id - Parameters.START_TIMESTAMP_KEY => start timestamp - Parameters.TIMESTAMP_KEY => complete timestamp - Parameters.STRICT => Determine if only entries that are strictly concurrent
(i.e. the length of the intersection as real interval is > 0) should be obtained. Default: False
Returns#
- ret_dict
Dictionaries associating to a couple of activities (tuple) the number of times for which they have been executed in parallel in the log