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   "source": [
    "### WKB_to_LatLong.py\n",
    "### Version: 7/27/2022\n",
    "### Author: Khem So, khem_so@fws.gov, (503) 231-6839\n",
    "### Abstract: This Python 3 script opens a CSV file and converts geometry stored as well-known binary (WKB) into decimal latitude and longitude coordinates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2762bb4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import shapely"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "043e7166",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Replace with path to your source CSV file\n",
    "df = pd.read_csv(r\"C:\\Users\\kso\\Documents\\WORKSPACE\\Scratch\\NABatDetectorPtsWKT2022.csv\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "21bc03ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert_lat(wkb_text):\n",
    "    from shapely import wkb\n",
    "    latitude = shapely.wkb.loads(wkb_text, hex=True).y\n",
    "    return latitude\n",
    "\n",
    "def convert_long(wkb_text):\n",
    "    from shapely import wkb\n",
    "    longitude = shapely.wkb.loads(wkb_text, hex=True).x\n",
    "    return longitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "33845020",
   "metadata": {},
   "outputs": [],
   "source": [
    "# If needed, replace 'location_geometry' with the name of the field containing WKB\n",
    "df['latitude'] = df['location_geometry'].apply(convert_lat)\n",
    "df['longitude'] = df['location_geometry'].apply(convert_long)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ade68359",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Replace with path to your destination CSV file\n",
    "df.to_csv(os.path.join(r\"C:\\Users\\kso\\Documents\\WORKSPACE\\Scratch\\NABatDetectorPtsWKT2022-2.csv\"), index= False)"
   ]
  }
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