.. only:: html
.. note::
:class: sphx-glr-download-link-note
Click :ref:`here ` to download the full example code
.. rst-class:: sphx-glr-example-title
.. _sphx_glr_auto_probabilistic_modeling_distributions_plot_draw_2d_distribution.py:
Draw 2-d distribution graphs
============================
In this example we are going to draw PDF and CDF of a bidimensional distribution.
.. code-block:: default
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)
.. rst-class:: sphx-glr-script-out
Out:
.. code-block:: none
Normal(mu = [0,2], sigma = [1,0.6], R = [[ 1 0 ]
[ 0 1 ]])
draw PDF
.. code-block:: default
graph = distribution.drawPDF()
view = viewer.View(graph)
.. image:: /auto_probabilistic_modeling/distributions/images/sphx_glr_plot_draw_2d_distribution_001.png
:alt: [X0,X1] iso-PDF
:class: sphx-glr-single-img
draw CDF
.. code-block:: default
graph = distribution.drawCDF()
view = viewer.View(graph)
plt.show()
.. image:: /auto_probabilistic_modeling/distributions/images/sphx_glr_plot_draw_2d_distribution_002.png
:alt: [X0,X1] iso-CDF
:class: sphx-glr-single-img
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.253 seconds)
.. _sphx_glr_download_auto_probabilistic_modeling_distributions_plot_draw_2d_distribution.py:
.. only :: html
.. container:: sphx-glr-footer
:class: sphx-glr-footer-example
.. container:: sphx-glr-download sphx-glr-download-python
:download:`Download Python source code: plot_draw_2d_distribution.py `
.. container:: sphx-glr-download sphx-glr-download-jupyter
:download:`Download Jupyter notebook: plot_draw_2d_distribution.ipynb `
.. only:: html
.. rst-class:: sphx-glr-signature
`Gallery generated by Sphinx-Gallery `_