.. 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

        :ref:`Go to the end <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 :footcite:t:`Haxby2001`.

.. GENERATED FROM PYTHON SOURCE LINES 8-15

.. code-block:: Python


    from nilearn._utils.helpers import check_matplotlib

    check_matplotlib()

    import matplotlib.pyplot as plt








.. GENERATED FROM PYTHON SOURCE LINES 16-22

.. code-block:: Python

    from nilearn import datasets
    from nilearn.plotting import show

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





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

 .. code-block:: none

    [fetch_haxby] Dataset found in /home/runner/nilearn_data/haxby2001
    [fetch_haxby] Downloading data from 
    http://data.pymvpa.org/datasets/haxby2001/stimuli-2010.01.14.tar.gz ...
    [fetch_haxby]  ...done. (0 seconds, 0 min)

    [fetch_haxby] Extracting data from 
    /home/runner/nilearn_data/haxby2001/ee9e0d5a40146477e9197f0d13da9b32/stimuli-201
    0.01.14.tar.gz...
    [fetch_haxby] .. done.





.. GENERATED FROM PYTHON SOURCE LINES 23-40

.. code-block:: Python


    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="gray")

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

    show()




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


    *

      .. image-sg:: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_001.png
         :alt: houses
         :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: scissors
         :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: cats
         :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: shoes
         :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: bottles
         :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: faces
         :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: chairs
         :srcset: /auto_examples/02_decoding/images/sphx_glr_plot_haxby_stimuli_007.png
         :class: sphx-glr-multi-img





.. GENERATED FROM PYTHON SOURCE LINES 41-45

References
----------

.. footbibliography::


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

   **Total running time of the script:** (0 minutes 7.539 seconds)

**Estimated memory usage:**  136 MB


.. _sphx_glr_download_auto_examples_02_decoding_plot_haxby_stimuli.py:

.. only:: html

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

    .. container:: binder-badge

      .. image:: images/binder_badge_logo.svg
        :target: https://mybinder.org/v2/gh/nilearn/nilearn/0.12.0?urlpath=lab/tree/notebooks/auto_examples/02_decoding/plot_haxby_stimuli.ipynb
        :alt: Launch binder
        :width: 150 px

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

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

    .. 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-zip

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


.. only:: html

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

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