Draw 2-d distribution graphs¶
In this example we are going to draw PDF and CDF of a bidimensional distribution.
from __future__ import print_function import openturns as ot import openturns.viewer as viewer from matplotlib import pylab as plt ot.Log.Show(ot.Log.NONE) # assume a 2-d distribution distribution = ot.Normal([0.0, 2.0], [1.0, 0.6], ot.CorrelationMatrix(2)) print(distribution)
Normal(mu = [0,2], sigma = [1,0.6], R = [[ 1 0 ] [ 0 1 ]])
graph = distribution.drawPDF() view = viewer.View(graph)
graph = distribution.drawCDF() view = viewer.View(graph) plt.show()
Total running time of the script: ( 0 minutes 0.253 seconds)