pm4py.vis.view_performance_dfg#
- pm4py.vis.view_performance_dfg(dfg: dict, start_activities: dict, end_activities: dict, format: str = 'png', aggregation_measure='mean', bgcolor: str = 'white')[source]#
Views a performance DFG
- Parameters:
dfg (
dict
) – DFG objectstart_activities (
dict
) – Start activitiesend_activities (
dict
) – End activitiesformat (
str
) – Format of the output picture (if html is provided, GraphvizJS is used to render the visualization in an HTML page)aggregation_measure (
str
) – Aggregation measure (default: mean): mean, median, min, max, sum, stdevbgcolor (
str
) – Background color of the visualization (default: white)
import pm4py performance_dfg, start_activities, end_activities = pm4py.discover_performance_dfg(dataframe, case_id_key='case:concept:name', activity_key='concept:name', timestamp_key='time:timestamp') pm4py.view_performance_dfg(performance_dfg, start_activities, end_activities, format='svg')