.. 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 `_