pm4py.statistics.traces.generic.common 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.traces.generic.common.case_duration 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.statistics.traces.generic.common.case_duration.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- GRAPH_POINTS = 'graph_points'#
- POINT_TO_SAMPLE = 'points_to_sample'#
- pm4py.statistics.traces.generic.common.case_duration.get_kde_caseduration(duration_values, parameters=None)[source]#
Gets the estimation of KDE density for the case durations calculated on the log/dataframe
Parameters#
- duration_values
Values of duration
- parameters
- Possible parameters of the algorithm, including:
graph_points -> number of points to include in the graph
Returns#
- x
X-axis values to represent
- y
Y-axis values to represent
- pm4py.statistics.traces.generic.common.case_duration.get_kde_caseduration_json(duration_values, parameters=None)[source]#
Gets the estimation of KDE density for the case durations calculated on the log/dataframe (expressed as JSON)
Parameters#
- duration_values
Values of duration
- parameters
- Possible parameters of the algorithm, including:
graph_points: number of points to include in the graph
Returns#
- json
JSON representing the graph points