'''
This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).
PM4Py is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
PM4Py 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 General Public License for more details.
You should have received a copy of the GNU General Public License
along with PM4Py. If not, see <https://www.gnu.org/licenses/>.
'''
from typing import Optional, Dict, Any, Union, List, Set
import pandas as pd
from pm4py.objects.log.util import pandas_numpy_variants
[docs]def get_variants_count(df: pd.DataFrame, parameters: Optional[Dict[Any, Any]] = None) -> Union[
Dict[str, int], Dict[List[str], int]]:
"""
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
"""
if parameters is None:
parameters = {}
return pandas_numpy_variants.apply(df, parameters=parameters)
[docs]def get_variants_set(df: pd.DataFrame, parameters: Optional[Dict[Any, Any]] = None) -> Union[Set[str], Set[List[str]]]:
"""
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
"""
if parameters is None:
parameters = {}
variants_dict = get_variants_count(df, parameters=parameters)
return set(variants_dict.keys())