pm4py.statistics.variants.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.variants.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
- pm4py.statistics.variants.pandas.get.get_variants_count(df: DataFrame, parameters: Dict[Any, Any] | None = None) Dict[str, int] | Dict[List[str], int][source]#
Gets the dictionary of variants from the current dataframe
Parameters#
- df
Dataframe
- parameters
- Possible parameters of the algorithm, including:
Parameters.ACTIVITY_KEY -> Column that contains the activity
Returns#
- variants_set
Dictionary of variants in the log
- pm4py.statistics.variants.pandas.get.get_variants_set(df: DataFrame, parameters: Dict[Any, Any] | None = None) Set[str] | Set[List[str]][source]#
Gets the set of variants from the current dataframe
Parameters#
- df
Dataframe
- parameters
- Possible parameters of the algorithm, including:
Parameters.ACTIVITY_KEY -> Column that contains the activity
Returns#
- variants_set
Set of variants in the log