Note
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Visualize cloudsΒΆ
In this example we are going to draw clouds of points from a data sample.
import openturns as ot
import openturns.viewer as viewer
from matplotlib import pylab as plt
ot.Log.Show(ot.Log.NONE)
Create 2-d samples to visualize
N = 500
R = ot.CorrelationMatrix(2)
R[0, 1] = -0.7
# 2d N(1,1) with correlation
sample1 = ot.Normal([1.0] * 2, [1.0] * 2, R).getSample(N)
sample2 = ot.Normal(2).getSample(N) # 2d N(0,1) independent
Create cloud drawables
cloud1 = ot.Cloud(sample1, "blue", "fsquare", "First Cloud")
cloud2 = ot.Cloud(sample2, "red", "fsquare", "Second Cloud")
# Then, assemble it into a graph
myGraph2d = ot.Graph("2d clouds", "x1", "x2", True, "upper right")
myGraph2d.add(cloud1)
myGraph2d.add(cloud2)
view = viewer.View(myGraph2d)
Create a 3-d sample
mean = [0.0] * 3
sigma = [2.0, 1.5, 1.0]
R = ot.CorrelationMatrix(3)
R[0, 1] = 0.8
R[1, 2] = -0.5
N = 500
sample3 = ot.Normal(mean, sigma, R).getSample(N)
Draw clouds pairs
graph3 = ot.VisualTest.DrawPairs(sample3)
graph3.setTitle("3d clouds")
view = viewer.View(graph3)
plt.show()