lat_long_dist_calculator.ipynb

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   "source": [
    "import numpy as np\n",
    "\n",
    "cities = ['athens', 'east_rancho_dominguez', 'el_segundo', 'long_beach', 'lynwood', 'wilmington']\n",
    "lats = {}\n",
    "longs = {}"
   ]
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    "lats['el_segundo'] = 33.928621\n",
    "longs['el_segundo'] = -118.368522\n",
    "\n",
    "lats['wilmington'] = 33.825757\n",
    "longs['wilmington'] = -118.24005\n",
    "\n",
    "lats['long_beach'] = 33.824173\n",
    "longs['long_beach'] = -118.207084\n",
    "\n",
    "lats['lynwood'] = 33.914156\n",
    "longs['lynwood'] = -118.184451\n",
    "\n",
    "lats['athens'] = 33.928478\n",
    "longs['athens'] = -118.284031\n",
    "\n",
    "lats['east_rancho_dominguez'] = 33.877433\n",
    "longs['east_rancho_dominguez'] = -118.192776"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from geopy import distance\n",
    "\n",
    "def get_distance(city1, city2):\n",
    "    coords_1 = (lats[city1], longs[city1])\n",
    "    coords_2 = (lats[city1], longs[city2])\n",
    "    return distance.distance(coords_1, coords_2).mi"
   ]
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