.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/06_manipulating_images/plot_compare_mean_image.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_06_manipulating_images_plot_compare_mean_image.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_06_manipulating_images_plot_compare_mean_image.py:


Comparing the means of 2 images
===============================

The goal of this example is to illustrate the use of the function
:func:`nilearn.image.math_img` with a list of images as input.
We compare the means of 2 resting state 4D images. The mean of the images
could have been computed with nilearn :func:`nilearn.image.mean_img` function.

.. GENERATED FROM PYTHON SOURCE LINES 12-13

Fetching 2 subject movie watching brain development :term:`fMRI` datasets.

.. GENERATED FROM PYTHON SOURCE LINES 13-18

.. code-block:: Python

    from nilearn import datasets

    dataset = datasets.fetch_development_fmri(n_subjects=2)









.. GENERATED FROM PYTHON SOURCE LINES 19-20

Print basic information on the adhd subjects resting state datasets.

.. GENERATED FROM PYTHON SOURCE LINES 20-24

.. code-block:: Python

    print(f"Subject 1 resting state dataset at: {dataset.func[0]}")
    print(f"Subject 2 resting state dataset at: {dataset.func[1]}")






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

 .. code-block:: none

    Subject 1 resting state dataset at: /home/himanshu/nilearn_data/development_fmri/development_fmri/sub-pixar123_task-pixar_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz
    Subject 2 resting state dataset at: /home/himanshu/nilearn_data/development_fmri/development_fmri/sub-pixar001_task-pixar_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz




.. GENERATED FROM PYTHON SOURCE LINES 25-26

Comparing the means of the 2 movie watching datasets.

.. GENERATED FROM PYTHON SOURCE LINES 26-38

.. code-block:: Python

    from nilearn import image, plotting

    result_img = image.math_img(
        "np.mean(img1, axis=-1) - np.mean(img2, axis=-1)",
        img1=dataset.func[0],
        img2=dataset.func[1],
    )

    plotting.plot_stat_map(
        result_img, title="Comparing means of 2 resting state 4D images."
    )
    plotting.show()



.. image-sg:: /auto_examples/06_manipulating_images/images/sphx_glr_plot_compare_mean_image_001.png
   :alt: plot compare mean image
   :srcset: /auto_examples/06_manipulating_images/images/sphx_glr_plot_compare_mean_image_001.png
   :class: sphx-glr-single-img






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

   **Total running time of the script:** (0 minutes 10.909 seconds)

**Estimated memory usage:**  898 MB


.. _sphx_glr_download_auto_examples_06_manipulating_images_plot_compare_mean_image.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/main?urlpath=lab/tree/notebooks/auto_examples/06_manipulating_images/plot_compare_mean_image.ipynb
        :alt: Launch binder
        :width: 150 px

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

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

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

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


.. only:: html

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

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