.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot_icl_sandstones_carbonates_2009_example.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_examples_plot_icl_sandstones_carbonates_2009_example.py>`
        to download the full example code

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

.. _sphx_glr_auto_examples_plot_icl_sandstones_carbonates_2009_example.py:


Imperial College London Sandstones & Carbonates 2009 Dataset
=========================

This example shows how we can load an image from the Imperial College London Sandstones & Carbonates 2009 dataset.

.. GENERATED FROM PYTHON SOURCE LINES 8-11

.. code-block:: default

    from drd.datasets.icl_sandstones_carbonates_2009 import load_icl_sandstones_carbonates_2009
    import matplotlib.pyplot as plt








.. GENERATED FROM PYTHON SOURCE LINES 12-18

Loading the Image
------------------------
We will use one of the utility functions called `load_icl_sandstones_carbonates_2009` to generate an xarray DataArray 
which already contains all the spatial axis information and scaling preconfigured.

This way we will have a proper definition of the image data in terms of a spatial coordinate system.

.. GENERATED FROM PYTHON SOURCE LINES 18-23

.. code-block:: default

    img = load_icl_sandstones_carbonates_2009("Berea")

    # This is the end of the 'code block' (if using an above IDE). All code within
    # this block can be easily executed all at once.





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

 Out:

 .. code-block:: none

    Using downloaded and verified file: /home/runner/drd_data/Berea.7z




.. GENERATED FROM PYTHON SOURCE LINES 24-27

Plotting the Image Data using xarray
------------------------
We will use xarray's ability to summarize or select our data to plot an average over the z dimension.

.. GENERATED FROM PYTHON SOURCE LINES 27-31

.. code-block:: default


    img.mean(dim='z').plot()
    plt.tight_layout()
    plt.show()



.. image-sg:: /auto_examples/images/sphx_glr_plot_icl_sandstones_carbonates_2009_example_001.png
   :alt: plot icl sandstones carbonates 2009 example
   :srcset: /auto_examples/images/sphx_glr_plot_icl_sandstones_carbonates_2009_example_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 32-33

We can clearly see how we first downloaded the image data from the web and subsequently compute an average over the micro-ct image dataset.


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

   **Total running time of the script:** ( 0 minutes  0.936 seconds)


.. _sphx_glr_download_auto_examples_plot_icl_sandstones_carbonates_2009_example.py:


.. only :: html

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



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

     :download:`Download Python source code: plot_icl_sandstones_carbonates_2009_example.py <plot_icl_sandstones_carbonates_2009_example.py>`



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

     :download:`Download Jupyter notebook: plot_icl_sandstones_carbonates_2009_example.ipynb <plot_icl_sandstones_carbonates_2009_example.ipynb>`


.. only:: html

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

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