{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Spatial contour plot\n\nThis is an example of how to prepare\nand plot data for a contour plot\n\nAuthor: Adam Theisen\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nfrom arm_test_data import DATASETS\n\nimport act\n\nmet_contour_list = [\n    'sgpmetE15.b1.20190508.000000.cdf',\n    'sgpmetE31.b1.20190508.000000.cdf',\n    'sgpmetE32.b1.20190508.000000.cdf',\n    'sgpmetE33.b1.20190508.000000.cdf',\n    'sgpmetE34.b1.20190508.000000.cdf',\n    'sgpmetE35.b1.20190508.000000.cdf',\n    'sgpmetE36.b1.20190508.000000.cdf',\n    'sgpmetE37.b1.20190508.000000.cdf',\n    'sgpmetE38.b1.20190508.000000.cdf',\n    'sgpmetE39.b1.20190508.000000.cdf',\n    'sgpmetE40.b1.20190508.000000.cdf',\n    'sgpmetE9.b1.20190508.000000.cdf',\n    'sgpmetE13.b1.20190508.000000.cdf',\n]\n\nmet_contour_filenames = [DATASETS.fetch(file) for file in met_contour_list]\n\ntime = '2019-05-08T04:00:00.000000000'\ndata = {}\nfields = {}\nwind_fields = {}\nstation_fields = {}\nfor f in met_contour_filenames:\n    ds = act.io.arm.read_arm_netcdf(f)\n    data.update({f: ds})\n    fields.update({f: ['lon', 'lat', 'temp_mean']})\n    wind_fields.update({f: ['lon', 'lat', 'wspd_vec_mean', 'wdir_vec_mean']})\n    station_fields.update(\n        {\n            f: [\n                'lon',\n                'lat',\n                'temp_mean',\n                'atmos_pressure',\n                'vapor_pressure_mean',\n                'rh_mean',\n            ]\n        }\n    )\n\ndisplay = act.plotting.ContourDisplay(data, figsize=(8, 8))\ndisplay.create_contour(fields=fields, time=time, levels=50)\ndisplay.plot_vectors_from_spd_dir(fields=wind_fields, time=time, mesh=True, grid_delta=(0.1, 0.1))\ndisplay.plot_station(fields=station_fields, time=time, markersize=7, color='red')\nplt.show()"
      ]
    }
  ],
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      "display_name": "Python 3",
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      "file_extension": ".py",
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      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
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