# Draw 2-d distribution graphs¶

In this basic example we are going to draw PDF and CDF of a bidimensional distribution.

In [6]:

from __future__ import print_function
import openturns as ot

# 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 ]])

In [7]:

# draw PDF
distribution.drawPDF()

Out[7]:

In [8]:

# draw CDF
distribution.drawCDF()

Out[8]: