Probabilistic design of experiments

In this example we are going to expose the available probabilistic design of experiments generated according to a specified distribution and a specified number of points.

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

Create the target distribution

distribution = ot.Normal(2)
N = 300

1. Monte Carlo

experiment = ot.MonteCarloExperiment(distribution, N)
sample = experiment.generate()
graph = ot.Cloud(sample)
view = viewer.View(graph)

2. LHS

experiment = ot.LHSExperiment(distribution, N)
sample = experiment.generate()
graph = ot.Cloud(sample)
view = viewer.View(graph)
plt.show()