Note
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Draw 2-d distribution graphsΒΆ
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)
Out:
Normal(mu = [0,2], sigma = [1,0.6], R = [[ 1 0 ]
[ 0 1 ]])
draw PDF
graph = distribution.drawPDF()
view = viewer.View(graph)
![[X0,X1] iso-PDF](../../_images/sphx_glr_plot_draw_2d_distribution_001.png)
draw CDF
graph = distribution.drawCDF()
view = viewer.View(graph)
plt.show()
![[X0,X1] iso-CDF](../../_images/sphx_glr_plot_draw_2d_distribution_002.png)
Total running time of the script: ( 0 minutes 0.253 seconds)