.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/distributions/continuous_1d/plot_distribution_normal_fitting.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_examples_distributions_continuous_1d_plot_distribution_normal_fitting.py>`
        to download the full example code or to run this example in your browser via Binder

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

.. _sphx_glr_auto_examples_distributions_continuous_1d_plot_distribution_normal_fitting.py:


Distribution fitting
==================================

This examples showcases the calculation of a distributions parameters based on fitting available data

.. GENERATED FROM PYTHON SOURCE LINES 10-11

Initially we have to import the necessary modules.

.. GENERATED FROM PYTHON SOURCE LINES 14-17

.. code-block:: default


    from UQpy.distributions.collection.Normal import Normal








.. GENERATED FROM PYTHON SOURCE LINES 18-24

Define a Normal distribution and use the fit method.
------------------------------------------------------

Parameters to be learnt should be instantiated as None.
Note that the fit method of each distribution returns a dictionary containing as keys the names of parameters
and its values are their data fitted values.

.. GENERATED FROM PYTHON SOURCE LINES 27-36

.. code-block:: default


    normal1 = Normal(loc=None, scale=None)
    fitted_parameters1 = normal1.fit(data=[-4, 2, 2, 1])
    print(fitted_parameters1)

    normal2 = Normal(loc=0., scale=None)
    fitted_parameters2 = normal2.fit(data=[-4, 2, 2, 1])
    print(fitted_parameters2)





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

 .. code-block:: none

    {'loc': 0.25, 'scale': 2.48746859276655}
    {'loc': 0.0, 'scale': 2.5}





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

   **Total running time of the script:** ( 0 minutes  0.001 seconds)


.. _sphx_glr_download_auto_examples_distributions_continuous_1d_plot_distribution_normal_fitting.py:

.. only:: html

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


    .. container:: binder-badge

      .. image:: images/binder_badge_logo.svg
        :target: https://mybinder.org/v2/gh/SURGroup/UQpy/master?urlpath=lab/tree/notebooks/auto_examples/distributions/continuous_1d/plot_distribution_normal_fitting.ipynb
        :alt: Launch binder
        :width: 150 px



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

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

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

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


.. only:: html

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

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