strip_plots.py

This script makes a strip plot of the mean and 95% empirical quantile of the response times for increasing energy consumption. Figure 8 of the paper by Dieleman and Jagtenberg were generated with this script.

Running strip_plots.py

You can run the script by using the command line or an IDE such as Spyder. To run the script on the command line, first move to your local ELASPY folder and then run the following:

python elaspy/advanced_plotting/strip_plots.py

or, depending on your Python installation:

python3 elaspy/advanced_plotting/strip_plots.py

If you use an IDE, you can simply open the file and press “Run file”.

Input

The script requires several data sets and parameters to work. The data sets of the mean and 95% empirical quantiles of each run (saved according to the variables MEAN_RESPONSE_TIMES_FILE_NAME and EMP_QUANTILE_RESPONSE_TIMES_FILE_NAME) of multiple energy consumption levels are used. The parameters of the script are explained in the API.

Output

The output, if SAVE_OUTPUT=True, consists of the plot (named according to PLOT_NAME) and a text (.txt) file that contains the used parameters (named according to RUN_PARAMETERS_FILE_NAME). If SAVE_OUTPUT=False, then the plot is provided, but not saved.