{
  "cells": [
    {
      "cell_type": "markdown",
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      "source": [
        "\n# Plot a timeseries of sounding data\n\nThis is a simple example for how to plot multiple columns\nin a TimeseriesDisplay.\n\nAuthor: Maxwell Grover\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "from arm_test_data import DATASETS\nfrom matplotlib import pyplot as plt\n\nimport act\n\n# Read in MET files.\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]\nmet_ds = act.io.arm.read_arm_netcdf(met_filenames)\n\n\n# Plot data\ndisplay = act.plotting.TimeSeriesDisplay(met_ds)\ndisplay.add_subplots((3, 2), figsize=(15, 10))\ndisplay.plot('temp_mean', color='tab:red', subplot_index=(0, 0))\ndisplay.plot('rh_mean', color='tab:green', subplot_index=(1, 0))\ndisplay.plot('wdir_vec_mean', subplot_index=(2, 0))\ndisplay.plot('temp_std', color='tab:red', subplot_index=(0, 1))\ndisplay.plot('rh_std', color='tab:green', subplot_index=(1, 1))\ndisplay.plot('wdir_vec_std', subplot_index=(2, 1))\nplt.show()"
      ]
    }
  ],
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      "file_extension": ".py",
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