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  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "    Latitude  Longitude\n",
       "0  20.813087 -89.452460\n",
       "1  19.900930 -90.325400\n",
       "2  14.928033 -89.962406\n",
       "3  17.075500 -89.939000\n",
       "4  16.450000 -88.580000"
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>20.813087</td>\n      <td>-89.452460</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>19.900930</td>\n      <td>-90.325400</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>14.928033</td>\n      <td>-89.962406</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>17.075500</td>\n      <td>-89.939000</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>16.450000</td>\n      <td>-88.580000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 25
    }
   ],
   "source": [
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "plt.style.use(\"seaborn-whitegrid\")\n",
    "plt.rc(\"figure\", autolayout=True)\n",
    "plt.rc(\n",
    "    \"axes\",\n",
    "    labelweight=\"bold\",\n",
    "    labelsize=\"large\",\n",
    "    titleweight=\"bold\",\n",
    "    titlesize=14,\n",
    "    titlepad=10,\n",
    ")\n",
    "\n",
    "df = pd.read_csv(\"../data/maya-sites.csv\")\n",
    "X = df.loc[:, [\"Latitude\", \"Longitude\"]]\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "    Latitude  Longitude Cluster\n",
       "0  20.813087 -89.452460       3\n",
       "1  19.900930 -90.325400       3\n",
       "2  14.928033 -89.962406       5\n",
       "3  17.075500 -89.939000       2\n",
       "4  16.450000 -88.580000       2"
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n      <th>Cluster</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>20.813087</td>\n      <td>-89.452460</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>19.900930</td>\n      <td>-90.325400</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>14.928033</td>\n      <td>-89.962406</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>17.075500</td>\n      <td>-89.939000</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>16.450000</td>\n      <td>-88.580000</td>\n      <td>2</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 26
    }
   ],
   "source": [
    "kmeans = KMeans(n_clusters=6)\n",
    "X[\"Cluster\"] = kmeans.fit_predict(X)\n",
    "X[\"Cluster\"] = X[\"Cluster\"].astype(\"category\")\n",
    "\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "Matplotlib is building the font cache using fc-list. This may take a moment.\n"
     ]
    },
    {
     "output_type": "display_data",
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "sns.relplot(\n",
    "    x=\"Longitude\", y=\"Latitude\", hue=\"Cluster\", data=X, height=6,\n",
    ");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}