.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/02_decoding/plot_haxby_stimuli.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_examples_02_decoding_plot_haxby_stimuli.py>`
        to download the full example code or to run this example in your browser via Binder

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

.. _sphx_glr_auto_examples_02_decoding_plot_haxby_stimuli.py:


Show stimuli of Haxby et al. dataset
===============================================================================

In this script we plot an overview of the stimuli used in "Distributed
and Overlapping Representations of Faces and Objects in Ventral Temporal
Cortex" (Science 2001)

.. GENERATED FROM PYTHON SOURCE LINES 9-34



.. rst-class:: sphx-glr-horizontal


    *

      .. image-sg:: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_001.png
         :alt: bottles
         :srcset: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_002.png
         :alt: chairs
         :srcset: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_002.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_003.png
         :alt: scissors
         :srcset: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_003.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_004.png
         :alt: cats
         :srcset: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_004.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_005.png
         :alt: houses
         :srcset: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_005.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_006.png
         :alt: shoes
         :srcset: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_006.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_007.png
         :alt: faces
         :srcset: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_007.png
         :class: sphx-glr-multi-img





.. code-block:: default


    import matplotlib.pyplot as plt

    from nilearn import datasets
    from nilearn.plotting import show

    haxby_dataset = datasets.fetch_haxby(subjects=[], fetch_stimuli=True)
    stimulus_information = haxby_dataset.stimuli

    for stim_type in stimulus_information:
        # skip control images, there are too many
        if stim_type != 'controls':

            file_names = stimulus_information[stim_type]

            fig, axes = plt.subplots(6, 8)
            fig.suptitle(stim_type)

            for img_path, ax in zip(file_names, axes.ravel()):
                ax.imshow(plt.imread(img_path), cmap=plt.cm.gray)

            for ax in axes.ravel():
                ax.axis("off")

    show()


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

   **Total running time of the script:** ( 0 minutes  5.931 seconds)

**Estimated memory usage:**  30 MB


.. _sphx_glr_download_auto_examples_02_decoding_plot_haxby_stimuli.py:


.. only :: html

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


  .. container:: binder-badge

    .. image:: images/binder_badge_logo.svg
      :target: https://mybinder.org/v2/gh/nilearn/nilearn.github.io/main?filepath=examples/auto_examples/02_decoding/plot_haxby_stimuli.ipynb
      :alt: Launch binder
      :width: 150 px


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

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



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

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


.. only:: html

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

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