Note
Click here 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 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
Monte Carlo
experiment = ot.MonteCarloExperiment(distribution, N)
sample = experiment.generate()
graph = ot.Cloud(sample)
view = viewer.View(graph)
![plot probabilistic design](../../_images/sphx_glr_plot_probabilistic_design_001.png)
LHS
experiment = ot.LHSExperiment(distribution, N)
sample = experiment.generate()
graph = ot.Cloud(sample)
view = viewer.View(graph)
plt.show()
![plot probabilistic design](../../_images/sphx_glr_plot_probabilistic_design_002.png)
Total running time of the script: ( 0 minutes 0.061 seconds)