.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "generated/gallery/meteorology/plot_TEC.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_meteorology_plot_TEC.py>`
        to download the full example code

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

.. _sphx_glr_generated_gallery_meteorology_plot_TEC.py:


Ionosphere Space Weather
========================

This space weather example plots a filled contour of rotated pole point
data with a shaded relief image underlay. The plot shows aggregated
vertical electron content in the ionosphere.

The plot exhibits an interesting outline effect due to excluding data
values below a certain threshold.

.. GENERATED FROM PYTHON SOURCE LINES 13-43



.. image-sg:: /generated/gallery/meteorology/images/sphx_glr_plot_TEC_001.png
   :alt: Total Electron Content
   :srcset: /generated/gallery/meteorology/images/sphx_glr_plot_TEC_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import matplotlib.pyplot as plt
    import numpy.ma as ma

    import iris
    import iris.plot as iplt
    import iris.quickplot as qplt


    def main():
        # Load the "total electron content" cube.
        filename = iris.sample_data_path("space_weather.nc")
        cube = iris.load_cube(filename, "total electron content")

        # Explicitly mask negative electron content.
        cube.data = ma.masked_less(cube.data, 0)

        # Plot the cube using one hundred colour levels.
        qplt.contourf(cube, 100)
        plt.title("Total Electron Content")
        plt.xlabel("longitude / degrees")
        plt.ylabel("latitude / degrees")
        plt.gca().stock_img()
        plt.gca().coastlines()

        iplt.show()


    if __name__ == "__main__":
        main()


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

   **Total running time of the script:** (0 minutes 0.739 seconds)


.. _sphx_glr_download_generated_gallery_meteorology_plot_TEC.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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