Multivariate Data Generation

Here, we generate example data for a multivariate function \(f(x,y)\). First, the class multivariate_examples is loaded.

from insidapy.simulate.multivariate import multivariate_examples

Then, we instantiate the class using the built-in examples. The number of points per profile, the time span, and the noise addition method can be chosen.

data = multivariate_examples(   example='rosenbrock',
                                coefs=[1, 100],
                                npoints=20,
                                noise_mode='percentage',
                                noise_percentage=10)

Last, the produced data can be visualized using the plot method. We can save the figure using a path (save_figure_directory), a name (figname) and an some extensions (save_figure_exensions) as a list. By using show=False, the plot will not be displayed in a running code.

data.contour_plot_2_variables(  nlevels=15,
                                show=False,
                                save=True,
                                save_figure_directory=r'.\figures',
                                save_figure_exensions=['png'])

[+] Saving figure:
        ->png: .\figures\rosenbrock.png

Last, we can export the data to an Excel spreadsheet using the export_to_excel method.

data.export_to_excel(destination=r'.\data')