Note
Go to the end to download the full example code
Probabilistic design of experimentsΒΆ
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.
import openturns as ot
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
Monte Carlo
experiment = ot.MonteCarloExperiment(distribution, N)
sample = experiment.generate()
graph = ot.Cloud(sample)
view = viewer.View(graph)
LHS
experiment = ot.LHSExperiment(distribution, N)
sample = experiment.generate()
graph = ot.Cloud(sample)
view = viewer.View(graph)
plt.show()