pyopmspe11.visualization.plotting module

” Script to plot the results

pyopmspe11.visualization.plotting.dense_data(dic)

Make the plots related to the dense data (e.g., saturation maps)

Args:

dic (dict): Global dictionary

Returns:

None

pyopmspe11.visualization.plotting.generate_grid(dic)

Create the plotting grid and load the times

Args:

dic (dict): Global dictionary

Returns:

dic (dict): Modified global dictionary

pyopmspe11.visualization.plotting.handle_kind(dic, kind)

Identify between dense and performance-spatial

Args:

dic (dict): Global dictionary

kind (list): Strings with the type of data to generate

Returns:

dic (dict): Modified global dictionary

pyopmspe11.visualization.plotting.ini_quantity_plot(dic)

Initialized the size of the Figure according to the spe case

Args:

dic (dict): Global dictionary

Returns:

dic (dict): Modified global dictionary

pyopmspe11.visualization.plotting.main()

Generate figures

pyopmspe11.visualization.plotting.performance(dic)

Make the plots related to the performance data (e.g., number of Newton iterations)

Args:

dic (dict): Global dictionary

Returns:

None

pyopmspe11.visualization.plotting.plot_results(dic)

Make some figures using the csv files from the benchmark data

Args:

dic (dict): Global dictionary

Returns:

None

pyopmspe11.visualization.plotting.sparse_data(dic)

Make the plots related to the sparse data (e.g., pressure in sensors over time)

Args:

dic (dict): Global dictionary

Returns:

None