.. 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_1d_distribution.py: Draw 1-d distribution graphs ============================ In this example we are going to draw PDF and CDF of an unidimensional 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 an 1-d distribution distribution = ot.Gumbel(0.45, 0.6) print(distribution) .. rst-class:: sphx-glr-script-out Out: .. code-block:: none Gumbel(beta = 0.45, gamma = 0.6) draw PDF .. code-block:: default graph = distribution.drawPDF() # IMPORTANT: note that this command just generates the graph data # and is only drawn in the context of Jupyter notebooks. # To plot from a script, see the viewer module. view = viewer.View(graph) .. image:: /auto_probabilistic_modeling/distributions/images/sphx_glr_plot_draw_1d_distribution_001.png :alt: plot draw 1d distribution :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_1d_distribution_002.png :alt: plot draw 1d distribution :class: sphx-glr-single-img .. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 0.157 seconds) .. _sphx_glr_download_auto_probabilistic_modeling_distributions_plot_draw_1d_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_1d_distribution.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_draw_1d_distribution.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_