pm4py.objects.conversion.dfg.variants package#

PM4Py – A Process Mining Library for Python

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.objects.conversion.dfg.variants.to_petri_net_activity_defines_place module#

PM4Py – A Process Mining Library for Python

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.objects.conversion.dfg.variants.to_petri_net_activity_defines_place.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

START_ACTIVITIES = 'start_activities'#

END_ACTIVITIES = 'end_activities'#

pm4py.objects.conversion.dfg.variants.to_petri_net_activity_defines_place.apply(dfg, parameters=None)[source]#

Applies the DFG mining on a given object (if it is a Pandas dataframe or a log, the DFG is calculated)

Parameters#

dfg: Object (DFG) (if it is a Pandas dataframe or a log, the DFG is calculated)
parameters: Parameters

pm4py.objects.conversion.dfg.variants.to_petri_net_invisibles_no_duplicates module#

PM4Py – A Process Mining Library for Python

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.objects.conversion.dfg.variants.to_petri_net_invisibles_no_duplicates.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

START_ACTIVITIES = 'start_activities'#

END_ACTIVITIES = 'end_activities'#

PARAM_ARTIFICIAL_START_ACTIVITY = 'pm4py:param:art_start_act'#

PARAM_ARTIFICIAL_END_ACTIVITY = 'pm4py:param:art_end_act'#

pm4py.objects.conversion.dfg.variants.to_petri_net_invisibles_no_duplicates.apply(dfg: Dict[Tuple[str, str], int], parameters: Dict[Any, Any] | None = None)[source]#

Applies the DFG mining on a given object (if it is a Pandas dataframe or a log, the DFG is calculated)

Parameters#

dfg: Object (DFG) (if it is a Pandas dataframe or a log, the DFG is calculated)
parameters: Parameters: - Parameters.START_ACTIVITIES: the start activities of the DFG - Parameters.END_ACTIVITIES: the end activities of the DFG

Returns#

net: Petri net
im: Initial marking
fm: Final marking