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        "\n# Example Size Distribution Plots\n\nExample shows how to plot up CCN droplet count\nin a size distribution plot.  Also shows how to\nadd different plot types together using\nassign_to_figure_axis.\n\nAuthor: Adam Theisen\n"
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\nfrom arm_test_data import DATASETS\n\nimport act\n\n# Read CCN data in from the test data area\nfilename_ccn = DATASETS.fetch('sgpaosccn2colaE13.b1.20170903.000000.nc')\nds = act.io.arm.read_arm_netcdf(filename_ccn)\n\n# Create a DistributionDisplay object\ndisplay = act.plotting.DistributionDisplay(ds, subplot_shape=(2,), figsize=(12, 10))\n\n# Create a size distribution plot while plotting the\n# size distribution in the second plot\nt_ind = np.datetime64('2017-09-03T15:47:31')\ndisplay.plot_size_distribution('N_CCN_dN', 'droplet_size', time=t_ind, subplot_index=(0,))\n\n# This part shows how you can use different display types in a single plot\n# by assigning the new display object to a figure and axes from the first one.\ndisplay2 = act.plotting.TimeSeriesDisplay(ds)\ndisplay2.assign_to_figure_axis(display.fig, display.axes[1])\ndisplay2.plot('N_CCN_dN')\n\nplt.show()"
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