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

.. only:: html

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

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

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

.. _sphx_glr_examples_dataset_creation_plot_dataset_from_optimization_problem.py:


Convert a database to a dataset
===============================

In this example,
we will see how to convert a :class:`.Database` to a :class:`.Dataset`.

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.. code-block:: default

    from __future__ import annotations

    from gemseo import execute_algo
    from gemseo.problems.analytical.rosenbrock import Rosenbrock









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Let us solve the :class:`.Rosenbrock` optimization problem
with the SLSQP algorithm and 10 iterations:

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.. code-block:: default

    optimization_problem = Rosenbrock()
    execute_algo(optimization_problem, "SLSQP", max_iter=10)





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

 .. code-block:: none


    Optimization result:
       Design variables: [0.57066585 0.31608705]
       Objective function: 0.19349100516217954
       Feasible solution: True



.. GENERATED FROM PYTHON SOURCE LINES 41-45

Then,
the :class:`.Database` attached to this :class:`.OptimizationProblem`
can be converted to an :class:`.OptimizationDataset`
using its method :meth:`~.OptimizationDataset.to_dataset`:

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.. code-block:: default

    dataset = optimization_problem.to_dataset()
    print(dataset)





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

 .. code-block:: none

    GROUP       designs              functions
    VARIABLE          x                  rosen
    COMPONENT         0         1            0
    1          0.000000  0.000000     1.000000
    2          2.000000  0.000000  1601.000000
    3          0.200000  0.000000     0.800000
    4          2.000000  0.899368   962.392108
    5          0.380000  0.089937     0.681024
    6          1.309049  2.000000     8.297426
    7          0.682846  0.712569     6.166440
    8          0.449476  0.232774     0.397606
    9          0.551433  0.290027     0.220957
    10         0.570666  0.316087     0.193491




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The design variables and output variables are in separate groups.
You can also use an :class:`.IODataset` instead of an :class:`.OptimizationDataset`:

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.. code-block:: default

    dataset = optimization_problem.to_dataset(opt_naming=False)
    print(dataset)





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

 .. code-block:: none

    GROUP        inputs                outputs
    VARIABLE          x                  rosen
    COMPONENT         0         1            0
    0          0.000000  0.000000     1.000000
    1          2.000000  0.000000  1601.000000
    2          0.200000  0.000000     0.800000
    3          2.000000  0.899368   962.392108
    4          0.380000  0.089937     0.681024
    5          1.309049  2.000000     8.297426
    6          0.682846  0.712569     6.166440
    7          0.449476  0.232774     0.397606
    8          0.551433  0.290027     0.220957
    9          0.570666  0.316087     0.193491




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or simply do not separate the variables

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.. code-block:: default

    dataset = optimization_problem.to_dataset(categorize=False)
    print(dataset)




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

 .. code-block:: none

    GROUP     parameters                       
    VARIABLE           x                  rosen
    COMPONENT          0         1            0
    0           0.000000  0.000000     1.000000
    1           2.000000  0.000000  1601.000000
    2           0.200000  0.000000     0.800000
    3           2.000000  0.899368   962.392108
    4           0.380000  0.089937     0.681024
    5           1.309049  2.000000     8.297426
    6           0.682846  0.712569     6.166440
    7           0.449476  0.232774     0.397606
    8           0.551433  0.290027     0.220957
    9           0.570666  0.316087     0.193491




.. GENERATED FROM PYTHON SOURCE LINES 59-64

.. note::
    Only design variables and functions (objective function, constraints) are
    stored in the database. If you want to store state variables, you must add
    them as observables before the problem is executed. Use the
    :func:`~.OptimizationProblem.add_observable` method.


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

   **Total running time of the script:** ( 0 minutes  0.060 seconds)


.. _sphx_glr_download_examples_dataset_creation_plot_dataset_from_optimization_problem.py:

.. only:: html

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




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

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

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

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


.. only:: html

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

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