pm4py.vis.save_vis_performance_spectrum#

pm4py.vis.save_vis_performance_spectrum(log: Union[EventLog, DataFrame], activities: List[str], file_path: str, activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name', bgcolor: str = 'white', **kwargs)[source]#

Saves the visualization of the performance spectrum to a file

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:
  • log – Event log

  • activities – List of activities (in order) that is used to build the performance spectrum

  • file_path (str) – Destination path (including the extension)

  • 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

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

import pm4py

pm4py.save_vis_performance_spectrum(dataframe, ['Act. A', 'Act. C', 'Act. D'], 'perf_spec.png', activity_key='concept:name', case_id_key='case:concept:name', timestamp_key='time:timestamp')