pm4py.vis.view_performance_spectrum#

pm4py.vis.view_performance_spectrum(log: EventLog | DataFrame, activities: List[str], format: str = 'png', activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name', bgcolor: str = 'white')[source]#

Displays the performance spectrum

The performance spectrum is a novel visualization of the performance of the process of the time elapsed between different activities in the process executions. The performance spectrum has initially been described in:

Denisov, Vadim, et al. “The Performance Spectrum Miner: Visual Analytics for Fine-Grained Performance Analysis of Processes.” BPM (Dissertation/Demos/Industry). 2018.

Parameters:

  • perf_spectrum – Performance spectrum

  • format (str) – Format of the visualization (png, svg …)

  • activity_key (str) – attribute to be used for the activity

  • timestamp_key (str) – attribute to be used for the timestamp

  • case_id_key (str) – attribute to be used as case identifier

  • activity_key – attribute to be used as activity

  • case_id_key – attribute to be used as case identifier

  • timestamp_key – attribute to be used as timestamp

  • bgcolor (str) – Background color of the visualization (default: white)

import pm4py

pm4py.view_performance_spectrum(dataframe, ['Act. A', 'Act. C', 'Act. D'], format='svg', activity_key='concept:name', case_id_key='case:concept:name', timestamp_key='time:timestamp')
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