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        "\n# Investigate Temperature Quantiles\n\nInvestigate Temperature Quantiles\nusing DistributionDisplay Violin Plots\n\nWritten: Joe O'Brien\n"
      ]
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    {
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      "execution_count": null,
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      "source": [
        "import matplotlib.pyplot as plt\nfrom arm_test_data import DATASETS\n\nimport act\nfrom act.io.icartt import read_icartt\n\n# Call the read_icartt function, which supports input\n# for ICARTT (v2.0) formatted files.\n# Example file is ARM Aerial Facility Navigation Data\nfilename_icartt = DATASETS.fetch('AAFNAV_COR_20181104_R0.ict')\nds = read_icartt(filename_icartt)\n\n# Create a DistributionDisplay object to compare fields\ndisplay = act.plotting.DistributionDisplay(ds)\n\n# Compare aircraft ground speed with ambient temperature\ndisplay.plot_violin(\n    'ambient_temp',\n    positions=[1.0],\n)\n\ndisplay.plot_violin(\n    'total_temp',\n    positions=[2.0],\n    set_title='Aircraft Temperatures 2018-11-04',\n)\n\n# Update the tick information\ndisplay.axes[0].set_xticks([0.5, 1, 2, 2.5])\nticks = ['', 'Ambient Air\\nTemp', 'Total\\nTemperature', '']\ndisplay.axes[0].set_xticklabels(ticks)\n\n# Update the y-axis label\ndisplay.axes[0].set_ylabel('Temperature Observations [C]')\nplt.show()"
      ]
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