.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "source/auto_examples/plotting/plot_daytime_averages.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_daytime_averages.py>`
        to download the full example code.

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

.. _sphx_glr_source_auto_examples_plotting_plot_daytime_averages.py:


Calculate and plot daily daytime temperature averages
-----------------------------------------------------

Example of how to read in MET data and plot up daytime
temperature averages using the add_solar_variable function

Author: Adam Theisen

.. GENERATED FROM PYTHON SOURCE LINES 10-45



.. image-sg:: /source/auto_examples/plotting/images/sphx_glr_plot_daytime_averages_001.png
   :alt: sgpmetE13.b1 temp_mean on 20190101
   :srcset: /source/auto_examples/plotting/images/sphx_glr_plot_daytime_averages_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    from arm_test_data import DATASETS
    import matplotlib.pyplot as plt

    import act

    # Read in the sample MET data
    met_wildcard_list = [
        'sgpmetE13.b1.20190101.000000.cdf',
        'sgpmetE13.b1.20190102.000000.cdf',
        'sgpmetE13.b1.20190103.000000.cdf',
        'sgpmetE13.b1.20190104.000000.cdf',
        'sgpmetE13.b1.20190105.000000.cdf',
        'sgpmetE13.b1.20190106.000000.cdf',
        'sgpmetE13.b1.20190107.000000.cdf',
    ]
    met_filenames = [DATASETS.fetch(file) for file in met_wildcard_list]
    ds = act.io.arm.read_arm_netcdf(met_filenames)

    # Add the solar variable, including dawn/dusk to variable
    ds = act.utils.geo_utils.add_solar_variable(ds)

    # Using the sun variable, only analyze daytime data
    ds = ds.where(ds['sun_variable'] == 1)

    # Take daily mean using xarray features
    ds = ds.resample(time='1d', skipna=True).mean()

    # Creat Plot Display
    display = act.plotting.TimeSeriesDisplay(ds, figsize=(15, 10))
    display.plot('temp_mean', linestyle='solid')
    display.day_night_background()
    plt.show()

    ds.close()


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

   **Total running time of the script:** (0 minutes 1.170 seconds)


.. _sphx_glr_download_source_auto_examples_plotting_plot_daytime_averages.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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