Create a Gauss product design

In this example we are going to create a deterministic weighted design experiment using Gauss product.

from __future__ import print_function
import openturns as ot
import openturns.viewer as viewer
from matplotlib import pylab as plt
ot.Log.Show(ot.Log.NONE)

Define the underlying distribution, degrees

distribution = ot.ComposedDistribution(
    [ot.Exponential(), ot.Triangular(-1.0, -0.5, 1.0)])
marginalDegrees = [15, 8]

Create the design

experiment = ot.GaussProductExperiment(distribution, marginalDegrees)
sample = experiment.generate()

Plot the design

graph = ot.Graph("GP design", "x1", "x2", True, "")
cloud = ot.Cloud(sample, "blue", "fsquare", "")
graph.add(cloud)
view = viewer.View(graph)
plt.show()