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

    Click :ref:`here <sphx_glr_download_auto_examples_make_gif.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_make_gif.py:


=============================
Make gif
=============================

In this example, we load in a single subject example, remove electrodes that exceed
a kurtosis threshold (in place), load a model, and predict activity at all
model locations.  We then convert the reconstruction to a nifti and plot 3 consecutive timepoints
first with the plot_glass_brain and then create .png files and compile as a gif.




.. code-block:: python


    # Code source: Lucy Owen & Andrew Heusser
    # License: MIT

    # load
    import supereeg as se

    # load example data
    bo = se.load('example_data')

    # load example model
    model = se.load('example_model')

    # the default will replace the electrode location with the nearest voxel and reconstruct at all other locations
    reconstructed_bo = model.predict(bo)

    # print out info on new brain object
    reconstructed_bo.info()

    # convert to nifti
    reconstructed_nifti = reconstructed_bo.to_nii(template='gray', vox_size=20)

    # make gif, default time window is 0 to 10, but you can specifiy by setting a range with index
    # reconstructed_nifti.make_gif('/your/path/to/gif/', index=np.arange(100), name='sample_gif')

**Total running time of the script:** ( 0 minutes  0.000 seconds)


.. _sphx_glr_download_auto_examples_make_gif.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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