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#! /usr/bin/env python
from __future__ import print_function
from openturns import *
TESTPREAMBLE()
try:
dim = 5
meanPoint = NumericalPoint(dim, 0.0)
sigma = NumericalPoint(dim, 5.0)
R = CorrelationMatrix(dim)
distribution = Normal(meanPoint, sigma, R)
# Instanciate another distribution object
for i in range(1, dim):
R[i, i - 1] = -0.25
distribution2 = Normal(meanPoint, sigma, R)
# Test for sampling
size = 1000
sample = distribution.getSample(size)
# Create an empty graph
myGraph = Graph("Pairs", " ", " ", True, "topright")
# Create the first cloud
myPairs = Pairs(sample, "Pairs example",
sample.getDescription(), "green", "bullet")
# Then, draw it
myGraph.add(myPairs)
myGraph.draw("Graph_Pairs_OT")
# Check that the correct files have been generated by computing their
# checksum
except:
import sys
print("t_Pairs_std.py", sys.exc_info()[0], sys.exc_info()[1])
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