pm4py.visualization.network_analysis.variants 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.visualization.network_analysis.variants.frequency 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.visualization.network_analysis.variants.frequency.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

FORMAT = 'format'#
BGCOLOR = 'bgcolor'#
ACTIVITY_THRESHOLD = 'activity_threshold'#
EDGE_THRESHOLD = 'edge_threshold'#
pm4py.visualization.network_analysis.variants.frequency.apply(network_analysis_edges: Dict[Tuple[str, str], Dict[str, int]], parameters: Dict[Any, Any] | None = None) Digraph[source]#

Creates a visualization of the network analysis

Parameters#

network_analysis_edges

Edges of the network analysis

parameters

Parameters of the algorithm, including: - Parameters.FORMAT => the format of the visualization - Parameters.BGCOLOR => the background color - Parameters.ACTIVITY_THRESHOLD => the minimum number of occurrences for an activity to be included (default: 1) - Parameters.EDGE_THRESHOLD => the minimum number of occurrences for an edge to be included (default: 1)

Returns#

digraph

Graphviz graph

pm4py.visualization.network_analysis.variants.performance 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.visualization.network_analysis.variants.performance.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

FORMAT = 'format'#
BGCOLOR = 'bgcolor'#
ACTIVITY_THRESHOLD = 'activity_threshold'#
EDGE_THRESHOLD = 'edge_threshold'#
AGGREGATION_MEASURE = 'aggregation_measure'#
pm4py.visualization.network_analysis.variants.performance.apply(network_analysis_edges0: Dict[Tuple[str, str], Dict[str, Any]], parameters: Dict[Any, Any] | None = None) Digraph[source]#

Creates a visualization of the network analysis (performance view)

Parameters#

network_analysis_edges0

Edges of the network analysis

parameters

Parameters of the algorithm, including: - Parameters.FORMAT => the format of the visualization - Parameters.BGCOLOR => the background color - Parameters.ACTIVITY_THRESHOLD => the minimum number of occurrences for an activity to be included (default: 1) - Parameters.EDGE_THRESHOLD => the minimum number of occurrences for an edge to be included (default: 1) - Parameters.AGGREGATION_MEASURE => the aggregation measure (default: mean)

Returns#

digraph

Graphviz graph