.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/model_fitting/simple_arctan_fit.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_model_fitting_simple_arctan_fit.py>`
        to download the full example code.

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

.. _sphx_glr_auto_examples_model_fitting_simple_arctan_fit.py:


Simple arctan fit
=================

Fit an arctan function.

.. GENERATED FROM PYTHON SOURCE LINES 8-38



.. image-sg:: /auto_examples/model_fitting/images/sphx_glr_simple_arctan_fit_001.png
   :alt: Simple arctan fit Signal
   :srcset: /auto_examples/model_fitting/images/sphx_glr_simple_arctan_fit_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none

    Model1D: Simple arctan fit
    CurrentComponentValues: Arctan
    Active: True
    Parameter Name |    Free |      Value |        Std |        Min |        Max | Linear
    ============== | ======= | ========== | ========== | ========== | ========== | ======
                 A |    True | 0.99891499 | 0.00199462 |       None |       None |   True
                 k |    True | 1.07618403 | 0.08859847 |       None |       None |  False
                x0 |    True | -0.1375172 | 0.07183467 |       None |       None |  False








|

.. code-block:: Python


    import numpy as np
    import hyperspy.api as hs

    # Generate the data and make the spectrum
    data = np.arctan(np.arange(-500, 500))
    s = hs.signals.Signal1D(data)
    s.axes_manager[0].offset = -500
    s.axes_manager[0].units = ""
    s.axes_manager[0].name = "x"
    s.metadata.General.title = "Simple arctan fit"
    s.set_signal_origin("simulation")

    s.add_gaussian_noise(0.1)

    # Make the arctan component for use in the model
    arctan_component = hs.model.components1D.Arctan()

    # Create the model and add the arctan component
    m = s.create_model()
    m.append(arctan_component)

    # Fit the arctan component to the spectrum
    m.fit()

    # Print the result of the fit
    m.print_current_values()

    # Plot the spectrum and the model fitting
    m.plot()


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

   **Total running time of the script:** (0 minutes 0.609 seconds)


.. _sphx_glr_download_auto_examples_model_fitting_simple_arctan_fit.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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