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

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

.. _sphx_glr_source_auto_examples_plotting_plot_size_distribution.py:


Example Size Distribution Plots
-------------------------------

Example shows how to plot up CCN droplet count
in a size distribution plot.  Also shows how to
add different plot types together using
assign_to_figure_axis.

Author: Adam Theisen

.. GENERATED FROM PYTHON SOURCE LINES 13-39



.. image-sg:: /source/auto_examples/plotting/images/sphx_glr_plot_size_distribution_001.png
   :alt: sgpaosccn2colaE13.b1 N_CCN_dN on 20170903 at 15:47:31, sgpaosccn2colaE13.b1 N_CCN_dN on 20170903
   :srcset: /source/auto_examples/plotting/images/sphx_glr_plot_size_distribution_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    from arm_test_data import DATASETS
    import matplotlib.pyplot as plt
    import numpy as np

    import act

    # Read CCN data in from the test data area
    filename_ccn = DATASETS.fetch('sgpaosccn2colaE13.b1.20170903.000000.nc')
    ds = act.io.arm.read_arm_netcdf(filename_ccn)

    # Create a DistributionDisplay object
    display = act.plotting.DistributionDisplay(ds, subplot_shape=(2,), figsize=(12, 10))

    # Create a size distribution plot while plotting the
    # size distribution in the second plot
    t_ind = np.datetime64('2017-09-03T15:47:31')
    display.plot_size_distribution('N_CCN_dN', 'droplet_size', time=t_ind, subplot_index=(0,))

    # This part shows how you can use different display types in a single plot
    # by assigning the new display object to a figure and axes from the first one.
    display2 = act.plotting.TimeSeriesDisplay(ds)
    display2.assign_to_figure_axis(display.fig, display.axes[1])
    display2.plot('N_CCN_dN')

    plt.show()


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

   **Total running time of the script:** (0 minutes 0.267 seconds)


.. _sphx_glr_download_source_auto_examples_plotting_plot_size_distribution.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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