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

.. only:: html

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

        Click :ref:`here <sphx_glr_download_examples_dataset_plot_burgers.py>`
        to download the full example code

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

.. _sphx_glr_examples_dataset_plot_burgers.py:


Burgers dataset
===============

Dataset consisting of solutions to Burgers' equation.

.. GENERATED FROM PYTHON SOURCE LINES 27-34

.. code-block:: default

    from gemseo.api import configure_logger
    from gemseo.api import load_dataset
    from gemseo.post.dataset.curves import Curves
    from matplotlib import pyplot as plt

    configure_logger()





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none


    <RootLogger root (INFO)>



.. GENERATED FROM PYTHON SOURCE LINES 35-39

Load Burgers' dataset
-----------------------
We can easily load this dataset by means of the
:meth:`~gemseo.api.load_dataset` function of the API:

.. GENERATED FROM PYTHON SOURCE LINES 39-44

.. code-block:: default



    dataset = load_dataset("BurgersDataset")
    print(dataset)





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    Burgers
       Number of samples: 30
       Number of variables: 2
       Variables names and sizes by group:
          inputs: t (1)
          outputs: u_t (501)
       Number of dimensions (total = 502) by group:
          inputs: 1
          outputs: 501




.. GENERATED FROM PYTHON SOURCE LINES 45-47

Show the input and output data
------------------------------

.. GENERATED FROM PYTHON SOURCE LINES 47-50

.. code-block:: default

    print(dataset.get_data_by_group("inputs"))
    print(dataset.get_data_by_group("outputs"))





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    [[0.        ]
     [0.06896552]
     [0.13793103]
     [0.20689655]
     [0.27586207]
     [0.34482759]
     [0.4137931 ]
     [0.48275862]
     [0.55172414]
     [0.62068966]
     [0.68965517]
     [0.75862069]
     [0.82758621]
     [0.89655172]
     [0.96551724]
     [1.03448276]
     [1.10344828]
     [1.17241379]
     [1.24137931]
     [1.31034483]
     [1.37931034]
     [1.44827586]
     [1.51724138]
     [1.5862069 ]
     [1.65517241]
     [1.72413793]
     [1.79310345]
     [1.86206897]
     [1.93103448]
     [2.        ]]
    [[-8.61058323e-43  1.25663706e-02  2.51327412e-02 ... -2.51327412e-02
      -1.25663706e-02  8.61058323e-43]
     [-2.58064516e-01 -2.46308879e-01 -2.34553242e-01 ... -2.81575790e-01
      -2.69820153e-01 -2.58064516e-01]
     [-4.84848485e-01 -4.73805311e-01 -4.62762136e-01 ... -5.06934833e-01
      -4.95891659e-01 -4.84848485e-01]
     ...
     [-2.60240964e+00 -2.59801898e+00 -2.59362832e+00 ... -4.15861152e-01
      -4.11470492e-01 -4.07079832e-01]
     [-2.63529412e+00 -2.63100677e+00 -2.62671942e+00 ... -5.00193830e-01
      -4.95906480e-01 -4.91619130e-01]
     [-2.66666667e+00 -2.66247788e+00 -2.65828909e+00 ... -5.80649145e-01
      -5.76460354e-01 -5.72271564e-01]]




.. GENERATED FROM PYTHON SOURCE LINES 51-54

Load customized dataset
-----------------------
Load the data with custom parameters and input-output naming.

.. GENERATED FROM PYTHON SOURCE LINES 54-57

.. code-block:: default

    dataset = load_dataset("BurgersDataset", n_samples=20, n_x=700, fluid_viscosity=0.03)
    print(dataset)





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    Burgers
       Number of samples: 20
       Number of variables: 2
       Variables names and sizes by group:
          inputs: t (1)
          outputs: u_t (700)
       Number of dimensions (total = 701) by group:
          inputs: 1
          outputs: 700




.. GENERATED FROM PYTHON SOURCE LINES 58-60

Plot the data
-------------

.. GENERATED FROM PYTHON SOURCE LINES 60-63

.. code-block:: default

    Curves(dataset, "x", "u_t").execute(save=False, show=False)
    # Workaround for HTML rendering, instead of ``show=True``
    plt.show()



.. image-sg:: /examples/dataset/images/sphx_glr_plot_burgers_001.png
   :alt: plot burgers
   :srcset: /examples/dataset/images/sphx_glr_plot_burgers_001.png
   :class: sphx-glr-single-img






.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.240 seconds)


.. _sphx_glr_download_examples_dataset_plot_burgers.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_burgers.py <plot_burgers.py>`



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

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


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_