.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/data/plot_specific.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_data_plot_specific.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_data_plot_specific.py:


===============
Specific images
===============

.. GENERATED FROM PYTHON SOURCE LINES 7-15

.. code-block:: Python


    import matplotlib.pyplot as plt
    import matplotlib

    from skimage import data

    matplotlib.rcParams["font.size"] = 18








.. GENERATED FROM PYTHON SOURCE LINES 16-18

Stereo images
=============

.. GENERATED FROM PYTHON SOURCE LINES 19-32

.. code-block:: Python



    fig, axes = plt.subplots(1, 2, figsize=(8, 4))
    ax = axes.ravel()

    cycle_images = data.stereo_motorcycle()
    ax[0].imshow(cycle_images[0])
    ax[1].imshow(cycle_images[1])

    fig.tight_layout()
    plt.show()





.. image-sg:: /auto_examples/data/images/sphx_glr_plot_specific_001.png
   :alt: plot specific
   :srcset: /auto_examples/data/images/sphx_glr_plot_specific_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 33-35

PIV images
=============

.. GENERATED FROM PYTHON SOURCE LINES 36-49

.. code-block:: Python



    fig, axes = plt.subplots(1, 2, figsize=(8, 4))
    ax = axes.ravel()

    vortex_images = data.vortex()
    ax[0].imshow(vortex_images[0])
    ax[1].imshow(vortex_images[1])

    fig.tight_layout()
    plt.show()





.. image-sg:: /auto_examples/data/images/sphx_glr_plot_specific_002.png
   :alt: plot specific
   :srcset: /auto_examples/data/images/sphx_glr_plot_specific_002.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 50-54

Faces and non-faces dataset
===========================

A sample of 20 over 200 images is displayed.

.. GENERATED FROM PYTHON SOURCE LINES 55-67

.. code-block:: Python



    fig, axes = plt.subplots(4, 5, figsize=(20, 20))
    ax = axes.ravel()
    lfw_images = data.lfw_subset()
    for i in range(20):
        ax[i].imshow(lfw_images[90 + i], cmap=plt.cm.gray)
        ax[i].axis("off")
    fig.tight_layout()
    plt.show()





.. image-sg:: /auto_examples/data/images/sphx_glr_plot_specific_003.png
   :alt: plot specific
   :srcset: /auto_examples/data/images/sphx_glr_plot_specific_003.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 68-69

Thumbnail image for the gallery

.. GENERATED FROM PYTHON SOURCE LINES 69-107

.. code-block:: Python




    from matplotlib.offsetbox import AnchoredText

    # Create a gridspec with two images in the first and 4 in the second row
    fig, axd = plt.subplot_mosaic(
        [["stereo", "stereo", "piv", "piv"], ["lfw0", "lfw1", "lfw2", "lfw3"]],
    )
    axd["stereo"].imshow(cycle_images[0])
    axd["stereo"].add_artist(
        AnchoredText(
            "Stereo",
            prop=dict(size=20),
            frameon=True,
            borderpad=0,
            loc="upper left",
        )
    )
    axd["piv"].imshow(vortex_images[0])
    axd["piv"].add_artist(
        AnchoredText(
            "PIV",
            prop=dict(size=20),
            frameon=True,
            borderpad=0,
            loc="upper left",
        )
    )
    axd["lfw0"].imshow(lfw_images[91], cmap="gray")
    axd["lfw1"].imshow(lfw_images[92], cmap="gray")
    axd["lfw2"].imshow(lfw_images[93], cmap="gray")
    axd["lfw3"].imshow(lfw_images[94], cmap="gray")

    for ax in axd.values():
        ax.axis("off")
    fig.tight_layout()
    plt.show()



.. image-sg:: /auto_examples/data/images/sphx_glr_plot_specific_004.png
   :alt: plot specific
   :srcset: /auto_examples/data/images/sphx_glr_plot_specific_004.png
   :class: sphx-glr-single-img






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

   **Total running time of the script:** (0 minutes 7.247 seconds)


.. _sphx_glr_download_auto_examples_data_plot_specific.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/scikit-image/scikit-image/v0.24.0?filepath=notebooks/auto_examples/data/plot_specific.ipynb
        :alt: Launch binder
        :width: 150 px

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

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

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

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

    .. container:: sphx-glr-download sphx-glr-download-zip

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


.. only:: html

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

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