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      "source": [
        "\n# Calculate and plot wind rose plots separated by day.\n\nExample of how to read in MET data and plot histograms\nof wind speed and temperature grouped by day.\n\nAuthor: Bobby Jackson\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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      "source": [
        "import matplotlib.pyplot as plt\nfrom arm_test_data import DATASETS\n\nimport act\n\n# Read in the sample MET data\nmet_wildcard_list = [\n    'sgpmetE13.b1.20190101.000000.cdf',\n    'sgpmetE13.b1.20190102.000000.cdf',\n    'sgpmetE13.b1.20190103.000000.cdf',\n    'sgpmetE13.b1.20190104.000000.cdf',\n    'sgpmetE13.b1.20190105.000000.cdf',\n    'sgpmetE13.b1.20190106.000000.cdf',\n    'sgpmetE13.b1.20190107.000000.cdf',\n]\nmet_filenames = [DATASETS.fetch(file) for file in met_wildcard_list]\nds = act.io.arm.read_arm_netcdf(met_filenames)\n\n# Create Plot Display\ndisplay = act.plotting.WindRoseDisplay(ds, figsize=(15, 15), subplot_shape=(3, 3))\ngroupby = display.group_by('day')\ngroupby.plot_group(\n    'plot_data',\n    None,\n    dir_field='wdir_vec_mean',\n    spd_field='wspd_vec_mean',\n    data_field='temp_mean',\n    num_dirs=12,\n    plot_type='line',\n)\n\n# Set theta tick markers for each axis inside display to be inside the polar axes\nfor i in range(3):\n    for j in range(3):\n        display.axes[i, j].tick_params(pad=-20)\nplt.show()\nds.close()"
      ]
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