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

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

.. _sphx_glr_source_auto_examples_plotting_plot_examples.py:


Xarray Plotting Examples
------------------------

This is an example of how to use some different aspects
of ACT's plotting tools as well as Xarray's tools.

.. GENERATED FROM PYTHON SOURCE LINES 9-43



.. image-sg:: /source/auto_examples/plotting/images/sphx_glr_plot_examples_001.png
   :alt: sgpceilC1.b1 backscatter on 20190101, sgpceilC1.b1 backscatter on 20190101
   :srcset: /source/auto_examples/plotting/images/sphx_glr_plot_examples_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    from arm_test_data import DATASETS
    import matplotlib.pyplot as plt

    import act

    # Set up plot space ahead of time
    fig, ax = plt.subplots(3, figsize=(10, 7))

    # Plotting up high-temporal resolution 2D data can be very slow at times.
    # In order to increase the speed, the data can be resampled to a courser
    # resolution prior to plotting.  Using Xarray's resample and selecting
    # the nearest neighbor will greatly increase the speed.
    filename_ceil = DATASETS.fetch('sgpceilC1.b1.20190101.000000.nc')
    ds = act.io.arm.read_arm_netcdf(filename_ceil)
    ds = ds.resample(time='1min').nearest()

    # These data can be plotted up using the existing xarray functionality
    # which is quick and easy
    ds['backscatter'].plot(x='time', ax=ax[0])

    # or using ACT
    display = act.plotting.TimeSeriesDisplay(ds)
    display.assign_to_figure_axis(fig, ax[1])
    display.plot('backscatter')

    # When using ACT, the axis object can also be manipulated using normal
    # matplotlib calls for more personalized customizations
    display = act.plotting.TimeSeriesDisplay(ds)
    display.assign_to_figure_axis(fig, ax[2])
    display.plot('backscatter')
    display.axes[-1].set_ylim([0, 1500])

    plt.show()


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

   **Total running time of the script:** (0 minutes 1.422 seconds)


.. _sphx_glr_download_source_auto_examples_plotting_plot_examples.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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