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

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

.. _sphx_glr_source_auto_examples_plot_cloud_mask.py:


Example on how to calculate and plot cloud masks
------------------------------------------------

This example shows how to calculate a cloud mask and plot data

.. GENERATED FROM PYTHON SOURCE LINES 8-33



.. image-sg:: /source/auto_examples/images/sphx_glr_plot_cloud_mask_001.png
   :alt: sgpkazrgeC1.a1 reflectivity_copol on 20190529
   :srcset: /source/auto_examples/images/sphx_glr_plot_cloud_mask_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import act
    import matplotlib.pyplot as plt
    from open_radar_data import DATASETS

    import radtraq

    # Read in sample data using ACT
    filename = DATASETS.fetch('sgpkazrgeC1.a1.20190529.000002.cdf')
    ds = act.io.arm.read_arm_netcdf(filename)

    # Resample data for ease of processing
    ds = ds.resample(time='1min').nearest()

    # Calculate and apply cloud mask
    ds = radtraq.proc.cloud_mask.calc_cloud_mask(ds, 'reflectivity_copol')
    ds = ds.where(ds['cloud_mask_2'] == 1)

    # Plot data using ACT
    display = act.plotting.TimeSeriesDisplay(ds)
    display.plot('reflectivity_copol', cmap='jet')
    display.axes[0].set_ylim([0, 20000])
    plt.show()

    ds.close()


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

   **Total running time of the script:** (0 minutes 0.458 seconds)


.. _sphx_glr_download_source_auto_examples_plot_cloud_mask.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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