.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_graphs/plot_graphs_fill_area.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_graphs_plot_graphs_fill_area.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_graphs_plot_graphs_fill_area.py:


How to fill an area
===================

.. GENERATED FROM PYTHON SOURCE LINES 5-7

.. code-block:: Python


    # sphinx_gallery_thumbnail_number = 2







.. GENERATED FROM PYTHON SOURCE LINES 10-11

In this example, we show how to fill specified area with a given color.

.. GENERATED FROM PYTHON SOURCE LINES 13-19

.. code-block:: Python

    import openturns as ot
    from openturns import viewer
    from matplotlib import pylab as plt

    ot.Log.Show(ot.Log.NONE)








.. GENERATED FROM PYTHON SOURCE LINES 20-21

We generate a sample from the standard Normal distribution.

.. GENERATED FROM PYTHON SOURCE LINES 23-27

.. code-block:: Python

    dist = ot.Normal()
    graph = dist.drawPDF()
    view = viewer.View(graph)




.. image-sg:: /auto_graphs/images/sphx_glr_plot_graphs_fill_area_001.png
   :alt: plot graphs fill area
   :srcset: /auto_graphs/images/sphx_glr_plot_graphs_fill_area_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 28-39

.. code-block:: Python



    def linearSample(xmin, xmax, npoints):
        """Returns a sample created from a regular grid
        from xmin to xmax with npoints points."""
        step = (xmax - xmin) / (npoints - 1)
        rg = ot.RegularGrid(xmin, step, npoints)
        vertices = rg.getVertices()
        return vertices









.. GENERATED FROM PYTHON SOURCE LINES 40-43

.. code-block:: Python

    a = 1.0
    b = 2.0








.. GENERATED FROM PYTHON SOURCE LINES 44-49

.. code-block:: Python

    nplot = 100  # Number of points in the plot
    x = linearSample(a, b, nplot)
    y = dist.computePDF(x)









.. GENERATED FROM PYTHON SOURCE LINES 50-51

Compute the bounds to fill: the lower vertical bound is 0 and the upper vertical bound is the PDF.

.. GENERATED FROM PYTHON SOURCE LINES 54-57

.. code-block:: Python

    vLow = [0.0] * nplot
    vUp = [y[i, 0] for i in range(nplot)]








.. GENERATED FROM PYTHON SOURCE LINES 58-60

.. code-block:: Python

    area = dist.computeCDF(b) - dist.computeCDF(a)








.. GENERATED FROM PYTHON SOURCE LINES 61-69

.. code-block:: Python

    boundsPoly = ot.Polygon.FillBetween(x.asPoint(), vLow, vUp)
    graph = dist.drawPDF()
    graph.add(boundsPoly)
    graph.setTitle("Area = %.3f" % (area))
    graph.setLegends([""])
    view = viewer.View(graph)
    plt.show()




.. image-sg:: /auto_graphs/images/sphx_glr_plot_graphs_fill_area_002.png
   :alt: Area = 0.136
   :srcset: /auto_graphs/images/sphx_glr_plot_graphs_fill_area_002.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 70-71

The CDF difference is equal to the area under the curve.


.. _sphx_glr_download_auto_graphs_plot_graphs_fill_area.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_graphs_fill_area.ipynb <plot_graphs_fill_area.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_graphs_fill_area.py <plot_graphs_fill_area.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_graphs_fill_area.zip <plot_graphs_fill_area.zip>`