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

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_advanced_image_processing_auto_examples_plot_block_mean.py>`
        to download the full example code.

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

.. _sphx_glr_advanced_image_processing_auto_examples_plot_block_mean.py:


Plot the block mean of an image
================================

An example showing how to use broad-casting to plot the mean of
blocks of an image.

.. GENERATED FROM PYTHON SOURCE LINES 8-26



.. image-sg:: /advanced/image_processing/auto_examples/images/sphx_glr_plot_block_mean_001.png
   :alt: plot block mean
   :srcset: /advanced/image_processing/auto_examples/images/sphx_glr_plot_block_mean_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import numpy as np
    import scipy as sp
    import matplotlib.pyplot as plt

    f = sp.datasets.face(gray=True)
    sx, sy = f.shape
    X, Y = np.ogrid[0:sx, 0:sy]

    regions = sy // 6 * (X // 4) + Y // 6
    block_mean = sp.ndimage.mean(f, labels=regions, index=np.arange(1, regions.max() + 1))
    block_mean.shape = (sx // 4, sy // 6)

    plt.figure(figsize=(5, 5))
    plt.imshow(block_mean, cmap="gray")
    plt.axis("off")

    plt.show()


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

   **Total running time of the script:** (0 minutes 0.196 seconds)


.. _sphx_glr_download_advanced_image_processing_auto_examples_plot_block_mean.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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