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

.. only:: html

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

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

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

.. _sphx_glr__examples_Utilites_load_fitting_file.py:


Load a fiting file
------------------

This script demonstrates how to use functionalities from the PyThea library to work with fitting data stored in JSON format.

.. GENERATED FROM PYTHON SOURCE LINES 9-10

Import Required Modules

.. GENERATED FROM PYTHON SOURCE LINES 10-15

.. code-block:: Python

    from IPython.display import display

    from PyThea.data.sample_data import json_fitting_file_sample_data
    from PyThea.utils import model_fittings








.. GENERATED FROM PYTHON SOURCE LINES 16-17

The script imports a sample JSON fitting file using ``json_fitting_file_sample_data.fetch()`` method. This sample data contains a series of fitted ellipsoids for a selected event.

.. GENERATED FROM PYTHON SOURCE LINES 17-20

.. code-block:: Python


    json_fitting_file = json_fitting_file_sample_data.fetch('FLX1p0D20211028T153500MEllipsoid.json')





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

 .. code-block:: none

    Downloading file 'FLX1p0D20211028T153500MEllipsoid.json' from 'https://github.com/AthKouloumvakos/PyThea-sample-data/raw/main/data/FLX1p0D20211028T153500MEllipsoid.json' to '/home/docs/PyThea/sample_data'.




.. GENERATED FROM PYTHON SOURCE LINES 21-22

The ``model_fittings.load_from_json(json_fitting_file)`` loads the model fittings from the JSON file. The result is stored in the variable model_fittings_class.

.. GENERATED FROM PYTHON SOURCE LINES 22-25

.. code-block:: Python


    model_fittings_class = model_fittings.load_from_json(json_fitting_file)








.. GENERATED FROM PYTHON SOURCE LINES 26-27

Print the information about the selected event and geometrical model using ``print()`` statements and the parameters of the model fittings using ``display(model_fittings_class.parameters)``

.. GENERATED FROM PYTHON SOURCE LINES 27-33

.. code-block:: Python


    print(f'Selected Event: {model_fittings_class.event_selected}')
    print(f'Geometrical Model: {model_fittings_class.geometrical_model}')
    display(model_fittings_class.parameters)






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

 .. code-block:: none

    Selected Event: FLX1.0|2021-10-28T15:35:00
    Geometrical Model: Ellipsoid
                             hgln   hglt        crln  ...  alpha  imager  fits_file
    2021-10-28 15:48:18.842  3.62 -25.07  274.118677  ...   0.86     LC2           
    2021-10-28 16:00:17.986  3.62 -23.56  274.008914  ...   0.78     LC2           
    2021-10-28 16:06:14.730  3.62 -22.35  273.954464  ...   0.78     LC3           
    2021-10-28 16:12:18.325  3.62 -21.25  273.898969  ...   0.77     LC2           
    2021-10-28 16:18:14.323  3.62 -21.00  273.844633  ...   0.77     LC3           
    2021-10-28 16:30:14.364  3.62 -20.34  273.734733  ...   0.77     LC3           

    [6 rows x 15 columns]





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

   **Total running time of the script:** (0 minutes 2.987 seconds)


.. _sphx_glr_download__examples_Utilites_load_fitting_file.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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