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

.. only:: html

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

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

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

.. _sphx_glr_source_auto_examples_plotting_plot_contour.py:


Spatial contour plot
--------------------

This is an example of how to prepare
and plot data for a contour plot

Author: Adam Theisen

.. GENERATED FROM PYTHON SOURCE LINES 11-64



.. image-sg:: /source/auto_examples/plotting/images/sphx_glr_plot_contour_001.png
   :alt: plot contour
   :srcset: /source/auto_examples/plotting/images/sphx_glr_plot_contour_001.png
   :class: sphx-glr-single-img





.. code-block:: Python



    from arm_test_data import DATASETS
    import matplotlib.pyplot as plt

    import act

    met_contour_list = [
        'sgpmetE15.b1.20190508.000000.cdf',
        'sgpmetE31.b1.20190508.000000.cdf',
        'sgpmetE32.b1.20190508.000000.cdf',
        'sgpmetE33.b1.20190508.000000.cdf',
        'sgpmetE34.b1.20190508.000000.cdf',
        'sgpmetE35.b1.20190508.000000.cdf',
        'sgpmetE36.b1.20190508.000000.cdf',
        'sgpmetE37.b1.20190508.000000.cdf',
        'sgpmetE38.b1.20190508.000000.cdf',
        'sgpmetE39.b1.20190508.000000.cdf',
        'sgpmetE40.b1.20190508.000000.cdf',
        'sgpmetE9.b1.20190508.000000.cdf',
        'sgpmetE13.b1.20190508.000000.cdf',
    ]

    met_contour_filenames = [DATASETS.fetch(file) for file in met_contour_list]

    time = '2019-05-08T04:00:00.000000000'
    data = {}
    fields = {}
    wind_fields = {}
    station_fields = {}
    for f in met_contour_filenames:
        ds = act.io.arm.read_arm_netcdf(f)
        data.update({f: ds})
        fields.update({f: ['lon', 'lat', 'temp_mean']})
        wind_fields.update({f: ['lon', 'lat', 'wspd_vec_mean', 'wdir_vec_mean']})
        station_fields.update(
            {
                f: [
                    'lon',
                    'lat',
                    'temp_mean',
                    'atmos_pressure',
                    'vapor_pressure_mean',
                    'rh_mean',
                ]
            }
        )

    display = act.plotting.ContourDisplay(data, figsize=(8, 8))
    display.create_contour(fields=fields, time=time, levels=50)
    display.plot_vectors_from_spd_dir(fields=wind_fields, time=time, mesh=True, grid_delta=(0.1, 0.1))
    display.plot_station(fields=station_fields, time=time, markersize=7, color='red')
    plt.show()


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

   **Total running time of the script:** (0 minutes 0.841 seconds)


.. _sphx_glr_download_source_auto_examples_plotting_plot_contour.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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