Map FT-8 QSOs with Jupyter Notebooks

map_qsos.ipynb

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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import adif_io\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import maidenhead\n",
    "import smopy\n",
    "%matplotlib inline\n",
    "\n",
    "adi_path = \"/Users/sophaskins/Library/Application Support/WSJT-X/wsjtx_log.adi\"\n",
    "all_qsos = adif_io.read_from_file(adi_path)\n",
    "qsos = [q for q in all_qsos[0] if int(q[\"QSO_DATE\"]) > 20200310]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "coordinates = []\n",
    "for qso in qsos:\n",
    "    if 'GRIDSQUARE' in qso and qso['GRIDSQUARE'] != \"\":\n",
    "        # adding \"gg\" centers in the grid, rather than upper left\n",
    "        coordinates.append(maidenhead.toLoc(qso['GRIDSQUARE'] + \"gg\"))\n",
    "\n",
    "lat_min = min([c[0] for c in coordinates])\n",
    "lat_max = max([c[0] for c in coordinates])\n",
    "lon_min = min([c[1] for c in coordinates])\n",
    "lon_max = max([c[1] for c in coordinates])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "map = smopy.Map((lat_min, lon_min, lat_max, lon_max))\n",
    "ax = map.show_mpl(figsize=(24, 24))\n",
    "for c in coordinates:\n",
    "    x, y = map.to_pixels(c[0], c[1])\n",
    "    ax.plot(x, y, 'or', ms=30, mew=2)\n"
   ]
  }
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