pm4py.statistics.variants.pandas package#

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/>.

Submodules#

pm4py.statistics.variants.pandas.get module#

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/>.

pm4py.statistics.variants.pandas.get.get_variants_count(df: DataFrame, parameters: Optional[Dict[Any, Any]] = None) Union[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: Optional[Dict[Any, Any]] = None) Union[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