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

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

.. _sphx_glr_auto_examples_plot_temporal.py:


=============================
Plot temporal clustering
=============================

This example plots temporal clustering, the extent to which subject tend to
recall neighboring items sequentially.





.. image:: /auto_examples/images/sphx_glr_plot_temporal_001.png
    :class: sphx-glr-single-img





.. code-block:: python


    # Code source: Andrew Heusser
    # License: MIT

    # import
    import quail

    #load data
    egg = quail.load('example')

    #analyze and plot
    fegg = egg.analyze('temporal', listgroup=['early']*4+['late']*4)

    fegg.plot(title='Temporal Clustering')

**Total running time of the script:** ( 0 minutes  21.276 seconds)


.. _sphx_glr_download_auto_examples_plot_temporal.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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