.. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_plot_fingerprint.py: ============================= Plot memory fingerprint ============================= This example plots a fingerprint. Briefly, a fingerprint can be described as a summary of how a subject organizes information with respect to the multiple features of the stimuli. In addition to presentation and recall data, a features object is passed to the Egg class. It is comprised of a dictionary for each presented stimulus that contains feature dimensions and values for each stimulus. .. image:: /auto_examples/images/sphx_glr_plot_fingerprint_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('fingerprint', listgroup=['average']*8, features=['temporal']) fegg.plot(title='Memory Fingerprint') **Total running time of the script:** ( 0 minutes 20.454 seconds) .. _sphx_glr_download_auto_examples_plot_fingerprint.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download :download:`Download Python source code: plot_fingerprint.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: plot_fingerprint.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_