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

.. only:: html

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

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

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

.. _sphx_glr_examples_map_plots_filled_contour_map_plot.py:


Plotting contours on a map plot
-------------------------------

The below example shows a map with plotted
contour lines that are filled.

.. GENERATED FROM PYTHON SOURCE LINES 8-61



.. image-sg:: /examples/map_plots/images/sphx_glr_filled_contour_map_plot_001.png
   :alt: Filled Contour Data
   :srcset: /examples/map_plots/images/sphx_glr_filled_contour_map_plot_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import numpy as np
    import matplotlib.pyplot as plt

    from emcpy.plots import CreatePlot, CreateFigure
    from emcpy.plots.map_tools import Domain, MapProjection
    from emcpy.plots.map_plots import MapContour, MapFilledContour


    def _getContourData(shape=(73, 145)):
        # Generate test data for contour plots
        nlats, nlons = shape
        lats = np.linspace(-np.pi / 2, np.pi / 2, nlats)
        lons = np.linspace(0, 2 * np.pi, nlons)
        lons, lats = np.meshgrid(lons, lats)
        wave = 0.75 * (np.sin(2 * lats) ** 8) * np.cos(4 * lons)
        mean = 0.5 * np.cos(2 * lats) * ((np.sin(2 * lats)) ** 2 + 2)

        lats = np.rad2deg(lats)
        lons = np.rad2deg(lons)
        data = wave + mean

        return lats, lons, data


    def main():
        # Get created test data
        x, y, z = _getContourData((20, 40))
        z = z * -1.5 * x

        contourf = MapFilledContour(x, y, z)
        contourf.cmap = 'viridis'
        contour = MapContour(x, y, z)

        plot1 = CreatePlot()
        plot1.plot_layers = [contourf, contour]
        plot1.projection = 'plcarr'
        plot1.domain = 'global'
        plot1.add_map_features(['coastline'])
        plot1.add_xlabel(xlabel='longitude')
        plot1.add_ylabel(ylabel='latitude')
        plot1.add_title(label='Filled Contour Data', loc='center')

        fig = CreateFigure()
        fig.plot_list = [plot1]
        fig.create_figure()

        plt.show()


    if __name__ == '__main__':

        main()


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

   **Total running time of the script:** (0 minutes 0.237 seconds)


.. _sphx_glr_download_examples_map_plots_filled_contour_map_plot.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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