pm4py.algo.filtering.pandas.prefixes 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.algo.filtering.pandas.prefixes.prefix_filter 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.algo.filtering.pandas.prefixes.prefix_filter.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- CASE_ID_KEY = 'pm4py:param:case_id_key'#
- ACTIVITY_KEY = 'pm4py:param:activity_key'#
- INDEX_KEY = 'index_key'#
- INDEX_IN_TRACE_KEY = 'index_in_trace_key'#
- USE_EXTREMES_TIMESTAMP = 'use_extremes_timestamp'#
- TEMP_COLUMN = 'temp_column'#
- FIRST_OR_LAST = 'first_or_last'#
- STRICT = 'strict'#
- pm4py.algo.filtering.pandas.prefixes.prefix_filter.apply(df: DataFrame, activity: str, parameters: Dict[Any, Any] | None = None)[source]#
Filter all the prefixes to a given activity (first or last occurrence of the activity in the case).
Parameters#
- df
Dataframe
- parameters
Parameters of the algorithm: - Parameters.CASE_ID_KEY => the case identifier column. - Parameters.ACTIVITY_KEY => the activity column. - Parameters.INDEX_IN_TRACE_KEY => attribute that should act as container of the index of the event inside
the case.
Parameters.TEMP_COLUMN => temporary column which is used for internal purposes.
Parameters.FIRST_OR_LAST => filter on the first or last occurrence of an activity in the dataframe.
Parameters.STRICT => applies the filter in a strict (<) or lean (<=) way (boolean).
Returns#
- df
Dataframe filtered keeping the prefixes to a given activity (first or last occurrence of the activity in the case).