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

.. only:: html

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

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

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

.. _sphx_glr_generated_gallery_oceanography_plot_load_nemo.py:


Load a Time Series of Data From the NEMO Model
==============================================

This example demonstrates how to load multiple files containing data output by
the NEMO model and combine them into a time series in a single cube. The
different time dimensions in these files can prevent Iris from concatenating
them without the intervention shown here.

.. GENERATED FROM PYTHON SOURCE LINES 11-62



.. image-sg:: /generated/gallery/oceanography/images/sphx_glr_plot_load_nemo_001.png
   :alt: Sea surface temperature at 57.157° S 173.500° E
   :srcset: /generated/gallery/oceanography/images/sphx_glr_plot_load_nemo_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import matplotlib.pyplot as plt

    import iris
    import iris.plot as iplt
    import iris.quickplot as qplt
    from iris.util import equalise_attributes, promote_aux_coord_to_dim_coord


    def main():
        # Load the three files of sample NEMO data.
        fname = iris.sample_data_path("NEMO/nemo_1m_*.nc")
        cubes = iris.load(fname)

        # Some attributes are unique to each file and must be removed to allow
        # concatenation.
        equalise_attributes(cubes)

        # The cubes still cannot be concatenated because their dimension coordinate
        # is "time_counter", which has the same value for each cube.  concatenate
        # needs distinct values in order to create a new DimCoord for the output
        # cube.  Here, each cube has a "time" auxiliary coordinate, and these do
        # have distinct values, so we can promote them to allow concatenation.
        for cube in cubes:
            promote_aux_coord_to_dim_coord(cube, "time")

        # The cubes can now be concatenated into a single time series.
        cube = cubes.concatenate_cube()

        # Generate a time series plot of a single point
        plt.figure()
        y_point_index = 100
        x_point_index = 100
        qplt.plot(cube[:, y_point_index, x_point_index], "o-")

        # Include the point's position in the plot's title
        lat_point = cube.coord("latitude").points[y_point_index, x_point_index]
        lat_string = "{:.3f}\u00b0 {}".format(
            abs(lat_point), "N" if lat_point > 0.0 else "S"
        )
        lon_point = cube.coord("longitude").points[y_point_index, x_point_index]
        lon_string = "{:.3f}\u00b0 {}".format(
            abs(lon_point), "E" if lon_point > 0.0 else "W"
        )
        plt.title("{} at {} {}".format(cube.long_name.capitalize(), lat_string, lon_string))

        iplt.show()


    if __name__ == "__main__":
        main()


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

   **Total running time of the script:** (0 minutes 0.341 seconds)


.. _sphx_glr_download_generated_gallery_oceanography_plot_load_nemo.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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