pandas_data.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>body {\n",
       "    margin: 0;\n",
       "    font-family: Helvetica;\n",
       "}\n",
       "table.dataframe {\n",
       "    border-collapse: collapse;\n",
       "    border: none;\n",
       "}\n",
       "table.dataframe tr {\n",
       "    border: none;\n",
       "}\n",
       "table.dataframe td, table.dataframe th {\n",
       "    margin: 0;\n",
       "    border: 1px solid white;\n",
       "    padding-left: 0.25em;\n",
       "    padding-right: 0.25em;\n",
       "}\n",
       "table.dataframe th:not(:empty) {\n",
       "    background-color: #fec;\n",
       "    text-align: left;\n",
       "    font-weight: normal;\n",
       "}\n",
       "table.dataframe tr:nth-child(2) th:empty {\n",
       "    border-left: none;\n",
       "    border-right: 1px dashed #888;\n",
       "}\n",
       "table.dataframe td {\n",
       "    border: 2px solid #ccf;\n",
       "    background-color: #f4f4ff;\n",
       "}\n",
       "h3 {\n",
       "    color: white;\n",
       "    background-color: black;\n",
       "    padding: 0.5em;\n",
       "}\n",
       "</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.core.display import HTML, Image\n",
    "css = open('style/style-table.css').read() + open('style/style-notebook.css').read()\n",
    "HTML('<style>{}</style>'.format(css))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Zen of Python, by Tim Peters\n",
      "\n",
      "Beautiful is better than ugly.\n",
      "Explicit is better than implicit.\n",
      "Simple is better than complex.\n",
      "Complex is better than complicated.\n",
      "Flat is better than nested.\n",
      "Sparse is better than dense.\n",
      "Readability counts.\n",
      "Special cases aren't special enough to break the rules.\n",
      "Although practicality beats purity.\n",
      "Errors should never pass silently.\n",
      "Unless explicitly silenced.\n",
      "In the face of ambiguity, refuse the temptation to guess.\n",
      "There should be one-- and preferably only one --obvious way to do it.\n",
      "Although that way may not be obvious at first unless you're Dutch.\n",
      "Now is better than never.\n",
      "Although never is often better than *right* now.\n",
      "If the implementation is hard to explain, it's a bad idea.\n",
      "If the implementation is easy to explain, it may be a good idea.\n",
      "Namespaces are one honking great idea -- let's do more of those!\n"
     ]
    }
   ],
   "source": [
    "import this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv('https://bit.ly/uforeports')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://bit.ly/uforeports\n",
    "\n",
    "https://bit.ly/drinksbycountry"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "https://bit.ly/uforeports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City</th>\n",
       "      <th>Colors Reported</th>\n",
       "      <th>Shape Reported</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ithaca</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRIANGLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Willingboro</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OTHER</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Holyoke</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OVAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>New York Worlds Fair</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LIGHT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Valley City</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   City Colors Reported Shape Reported\n",
       "0                Ithaca             NaN       TRIANGLE\n",
       "1           Willingboro             NaN          OTHER\n",
       "2               Holyoke             NaN           OVAL\n",
       "3               Abilene             NaN           DISK\n",
       "4  New York Worlds Fair             NaN          LIGHT\n",
       "5           Valley City             NaN           DISK"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.loc[0:5,'City':'Shape Reported']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City</th>\n",
       "      <th>Colors Reported</th>\n",
       "      <th>Shape Reported</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ithaca</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRIANGLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Willingboro</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OTHER</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Holyoke</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OVAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>New York Worlds Fair</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LIGHT</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   City Colors Reported Shape Reported\n",
       "0                Ithaca             NaN       TRIANGLE\n",
       "1           Willingboro             NaN          OTHER\n",
       "2               Holyoke             NaN           OVAL\n",
       "3               Abilene             NaN           DISK\n",
       "4  New York Worlds Fair             NaN          LIGHT"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.iloc[0:5,0:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "City\n",
       "Ithaca          NaN\n",
       "Ithaca          NaN\n",
       "Ithaca          NaN\n",
       "Ithaca          NaN\n",
       "Ithaca    RED GREEN\n",
       "Ithaca          NaN\n",
       "Ithaca          NaN\n",
       "Ithaca          NaN\n",
       "Name: Colors Reported, dtype: object"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.loc['Ithaca','Colors Reported']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Colors Reported</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>City</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Ithaca</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Colors Reported\n",
       "City                  \n",
       "Ithaca             NaN"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.iloc[0:1,0:1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 18241 entries, Ithaca to Ybor\n",
      "Data columns (total 4 columns):\n",
      "Colors Reported    2882 non-null object\n",
      "Shape Reported     15597 non-null object\n",
      "State              18241 non-null object\n",
      "Time               18241 non-null object\n",
      "dtypes: object(4)\n",
      "memory usage: 712.5+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Colors Reported</th>\n",
       "      <th>Shape Reported</th>\n",
       "      <th>State</th>\n",
       "      <th>Time</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>City</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Ithaca</th>\n",
       "      <td>NaN</td>\n",
       "      <td>TRIANGLE</td>\n",
       "      <td>NY</td>\n",
       "      <td>6/1/1930 22:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willingboro</th>\n",
       "      <td>NaN</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>NJ</td>\n",
       "      <td>6/30/1930 20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Holyoke</th>\n",
       "      <td>NaN</td>\n",
       "      <td>OVAL</td>\n",
       "      <td>CO</td>\n",
       "      <td>2/15/1931 14:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abilene</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>KS</td>\n",
       "      <td>6/1/1931 13:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York Worlds Fair</th>\n",
       "      <td>NaN</td>\n",
       "      <td>LIGHT</td>\n",
       "      <td>NY</td>\n",
       "      <td>4/18/1933 19:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Valley City</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>ND</td>\n",
       "      <td>9/15/1934 15:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Crater Lake</th>\n",
       "      <td>NaN</td>\n",
       "      <td>CIRCLE</td>\n",
       "      <td>CA</td>\n",
       "      <td>6/15/1935 0:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alma</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>MI</td>\n",
       "      <td>7/15/1936 0:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eklutna</th>\n",
       "      <td>NaN</td>\n",
       "      <td>CIGAR</td>\n",
       "      <td>AK</td>\n",
       "      <td>10/15/1936 17:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hubbard</th>\n",
       "      <td>NaN</td>\n",
       "      <td>CYLINDER</td>\n",
       "      <td>OR</td>\n",
       "      <td>6/15/1937 0:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fontana</th>\n",
       "      <td>NaN</td>\n",
       "      <td>LIGHT</td>\n",
       "      <td>CA</td>\n",
       "      <td>8/15/1937 21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Waterloo</th>\n",
       "      <td>NaN</td>\n",
       "      <td>FIREBALL</td>\n",
       "      <td>AL</td>\n",
       "      <td>6/1/1939 20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belton</th>\n",
       "      <td>RED</td>\n",
       "      <td>SPHERE</td>\n",
       "      <td>SC</td>\n",
       "      <td>6/30/1939 20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Keokuk</th>\n",
       "      <td>NaN</td>\n",
       "      <td>OVAL</td>\n",
       "      <td>IA</td>\n",
       "      <td>7/7/1939 2:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ludington</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>MI</td>\n",
       "      <td>6/1/1941 13:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forest Home</th>\n",
       "      <td>NaN</td>\n",
       "      <td>CIRCLE</td>\n",
       "      <td>CA</td>\n",
       "      <td>7/2/1941 11:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Los Angeles</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CA</td>\n",
       "      <td>2/25/1942 0:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hapeville</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GA</td>\n",
       "      <td>6/1/1942 22:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oneida</th>\n",
       "      <td>NaN</td>\n",
       "      <td>RECTANGLE</td>\n",
       "      <td>TN</td>\n",
       "      <td>7/15/1942 1:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bering Sea</th>\n",
       "      <td>RED</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>AK</td>\n",
       "      <td>4/30/1943 23:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nebraska</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>NE</td>\n",
       "      <td>6/1/1943 15:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LA</td>\n",
       "      <td>8/15/1943 0:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>LIGHT</td>\n",
       "      <td>LA</td>\n",
       "      <td>8/15/1943 0:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Owensboro</th>\n",
       "      <td>NaN</td>\n",
       "      <td>RECTANGLE</td>\n",
       "      <td>KY</td>\n",
       "      <td>10/15/1943 11:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wilderness</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>WV</td>\n",
       "      <td>1/1/1944 10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Diego</th>\n",
       "      <td>NaN</td>\n",
       "      <td>CIGAR</td>\n",
       "      <td>CA</td>\n",
       "      <td>1/1/1944 12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wilderness</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>WV</td>\n",
       "      <td>1/1/1944 12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clovis</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>NM</td>\n",
       "      <td>4/2/1944 11:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Los Alamos</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>NM</td>\n",
       "      <td>6/1/1944 12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ft. Duschene</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>UT</td>\n",
       "      <td>6/30/1944 10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Holyoke</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DIAMOND</td>\n",
       "      <td>MA</td>\n",
       "      <td>12/28/2000 18:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Carson</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/28/2000 18:20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pasadena</th>\n",
       "      <td>GREEN</td>\n",
       "      <td>FIREBALL</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/28/2000 19:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austin</th>\n",
       "      <td>NaN</td>\n",
       "      <td>FORMATION</td>\n",
       "      <td>TX</td>\n",
       "      <td>12/29/2000 0:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>El Campo</th>\n",
       "      <td>NaN</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>TX</td>\n",
       "      <td>12/29/2000 9:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garden Grove</th>\n",
       "      <td>ORANGE</td>\n",
       "      <td>LIGHT</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/29/2000 16:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Berthoud Pass</th>\n",
       "      <td>NaN</td>\n",
       "      <td>TRIANGLE</td>\n",
       "      <td>CO</td>\n",
       "      <td>12/29/2000 19:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sisterdale</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DIAMOND</td>\n",
       "      <td>TX</td>\n",
       "      <td>12/29/2000 20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garden Grove</th>\n",
       "      <td>NaN</td>\n",
       "      <td>CHEVRON</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/29/2000 20:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shasta Lake</th>\n",
       "      <td>BLUE</td>\n",
       "      <td>DISK</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/29/2000 20:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Franklin</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>NH</td>\n",
       "      <td>12/29/2000 20:50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albrightsville</th>\n",
       "      <td>NaN</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>PA</td>\n",
       "      <td>12/29/2000 21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greenville</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SC</td>\n",
       "      <td>12/29/2000 22:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eufaula</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>OK</td>\n",
       "      <td>12/29/2000 23:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Simi Valley</th>\n",
       "      <td>NaN</td>\n",
       "      <td>FORMATION</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/30/2000 10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Francisco</th>\n",
       "      <td>NaN</td>\n",
       "      <td>FORMATION</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/30/2000 22:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Francisco</th>\n",
       "      <td>NaN</td>\n",
       "      <td>TRIANGLE</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/30/2000 22:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kingsville</th>\n",
       "      <td>NaN</td>\n",
       "      <td>LIGHT</td>\n",
       "      <td>TX</td>\n",
       "      <td>12/31/2000 4:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chicago</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>IL</td>\n",
       "      <td>12/31/2000 11:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pismo Beach</th>\n",
       "      <td>NaN</td>\n",
       "      <td>OVAL</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/31/2000 20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pismo Beach</th>\n",
       "      <td>NaN</td>\n",
       "      <td>OVAL</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/31/2000 20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lodi</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WI</td>\n",
       "      <td>12/31/2000 20:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Anchorage</th>\n",
       "      <td>RED</td>\n",
       "      <td>VARIOUS</td>\n",
       "      <td>AK</td>\n",
       "      <td>12/31/2000 21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capitola</th>\n",
       "      <td>NaN</td>\n",
       "      <td>TRIANGLE</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/31/2000 22:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fountain Hills</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AZ</td>\n",
       "      <td>12/31/2000 23:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grant Park</th>\n",
       "      <td>NaN</td>\n",
       "      <td>TRIANGLE</td>\n",
       "      <td>IL</td>\n",
       "      <td>12/31/2000 23:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spirit Lake</th>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>IA</td>\n",
       "      <td>12/31/2000 23:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eagle River</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WI</td>\n",
       "      <td>12/31/2000 23:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eagle River</th>\n",
       "      <td>RED</td>\n",
       "      <td>LIGHT</td>\n",
       "      <td>WI</td>\n",
       "      <td>12/31/2000 23:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ybor</th>\n",
       "      <td>NaN</td>\n",
       "      <td>OVAL</td>\n",
       "      <td>FL</td>\n",
       "      <td>12/31/2000 23:59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18241 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Colors Reported Shape Reported State              Time\n",
       "City                                                                       \n",
       "Ithaca                           NaN       TRIANGLE    NY    6/1/1930 22:00\n",
       "Willingboro                      NaN          OTHER    NJ   6/30/1930 20:00\n",
       "Holyoke                          NaN           OVAL    CO   2/15/1931 14:00\n",
       "Abilene                          NaN           DISK    KS    6/1/1931 13:00\n",
       "New York Worlds Fair             NaN          LIGHT    NY   4/18/1933 19:00\n",
       "Valley City                      NaN           DISK    ND   9/15/1934 15:30\n",
       "Crater Lake                      NaN         CIRCLE    CA    6/15/1935 0:00\n",
       "Alma                             NaN           DISK    MI    7/15/1936 0:00\n",
       "Eklutna                          NaN          CIGAR    AK  10/15/1936 17:00\n",
       "Hubbard                          NaN       CYLINDER    OR    6/15/1937 0:00\n",
       "Fontana                          NaN          LIGHT    CA   8/15/1937 21:00\n",
       "Waterloo                         NaN       FIREBALL    AL    6/1/1939 20:00\n",
       "Belton                           RED         SPHERE    SC   6/30/1939 20:00\n",
       "Keokuk                           NaN           OVAL    IA     7/7/1939 2:00\n",
       "Ludington                        NaN           DISK    MI    6/1/1941 13:00\n",
       "Forest Home                      NaN         CIRCLE    CA    7/2/1941 11:30\n",
       "Los Angeles                      NaN            NaN    CA    2/25/1942 0:00\n",
       "Hapeville                        NaN            NaN    GA    6/1/1942 22:30\n",
       "Oneida                           NaN      RECTANGLE    TN    7/15/1942 1:00\n",
       "Bering Sea                       RED          OTHER    AK   4/30/1943 23:00\n",
       "Nebraska                         NaN           DISK    NE    6/1/1943 15:00\n",
       "NaN                              NaN            NaN    LA    8/15/1943 0:00\n",
       "NaN                              NaN          LIGHT    LA    8/15/1943 0:00\n",
       "Owensboro                        NaN      RECTANGLE    KY  10/15/1943 11:00\n",
       "Wilderness                       NaN           DISK    WV    1/1/1944 10:00\n",
       "San Diego                        NaN          CIGAR    CA    1/1/1944 12:00\n",
       "Wilderness                       NaN           DISK    WV    1/1/1944 12:00\n",
       "Clovis                           NaN           DISK    NM    4/2/1944 11:00\n",
       "Los Alamos                       NaN           DISK    NM    6/1/1944 12:00\n",
       "Ft. Duschene                     NaN           DISK    UT   6/30/1944 10:00\n",
       "...                              ...            ...   ...               ...\n",
       "Holyoke                          NaN        DIAMOND    MA  12/28/2000 18:00\n",
       "Carson                           NaN           DISK    CA  12/28/2000 18:20\n",
       "Pasadena                       GREEN       FIREBALL    CA  12/28/2000 19:10\n",
       "Austin                           NaN      FORMATION    TX   12/29/2000 0:00\n",
       "El Campo                         NaN          OTHER    TX   12/29/2000 9:00\n",
       "Garden Grove                  ORANGE          LIGHT    CA  12/29/2000 16:10\n",
       "Berthoud Pass                    NaN       TRIANGLE    CO  12/29/2000 19:30\n",
       "Sisterdale                       NaN        DIAMOND    TX  12/29/2000 20:00\n",
       "Garden Grove                     NaN        CHEVRON    CA  12/29/2000 20:30\n",
       "Shasta Lake                     BLUE           DISK    CA  12/29/2000 20:30\n",
       "Franklin                         NaN           DISK    NH  12/29/2000 20:50\n",
       "Albrightsville                   NaN          OTHER    PA  12/29/2000 21:00\n",
       "Greenville                       NaN            NaN    SC  12/29/2000 22:00\n",
       "Eufaula                          NaN           DISK    OK  12/29/2000 23:30\n",
       "Simi Valley                      NaN      FORMATION    CA  12/30/2000 10:00\n",
       "San Francisco                    NaN      FORMATION    CA  12/30/2000 22:00\n",
       "San Francisco                    NaN       TRIANGLE    CA  12/30/2000 22:00\n",
       "Kingsville                       NaN          LIGHT    TX   12/31/2000 4:00\n",
       "Chicago                          NaN           DISK    IL  12/31/2000 11:45\n",
       "Pismo Beach                      NaN           OVAL    CA  12/31/2000 20:00\n",
       "Pismo Beach                      NaN           OVAL    CA  12/31/2000 20:00\n",
       "Lodi                             NaN            NaN    WI  12/31/2000 20:30\n",
       "Anchorage                        RED        VARIOUS    AK  12/31/2000 21:00\n",
       "Capitola                         NaN       TRIANGLE    CA  12/31/2000 22:00\n",
       "Fountain Hills                   NaN            NaN    AZ  12/31/2000 23:00\n",
       "Grant Park                       NaN       TRIANGLE    IL  12/31/2000 23:00\n",
       "Spirit Lake                      NaN           DISK    IA  12/31/2000 23:00\n",
       "Eagle River                      NaN            NaN    WI  12/31/2000 23:45\n",
       "Eagle River                      RED          LIGHT    WI  12/31/2000 23:45\n",
       "Ybor                             NaN           OVAL    FL  12/31/2000 23:59\n",
       "\n",
       "[18241 rows x 4 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
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   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City</th>\n",
       "      <th>Colors Reported</th>\n",
       "      <th>Shape Reported</th>\n",
       "      <th>State</th>\n",
       "      <th>Time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ithaca</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRIANGLE</td>\n",
       "      <td>NY</td>\n",
       "      <td>6/1/1930 22:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Willingboro</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>NJ</td>\n",
       "      <td>6/30/1930 20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Holyoke</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OVAL</td>\n",
       "      <td>CO</td>\n",
       "      <td>2/15/1931 14:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>KS</td>\n",
       "      <td>6/1/1931 13:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>New York Worlds Fair</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LIGHT</td>\n",
       "      <td>NY</td>\n",
       "      <td>4/18/1933 19:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Valley City</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>ND</td>\n",
       "      <td>9/15/1934 15:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Crater Lake</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CIRCLE</td>\n",
       "      <td>CA</td>\n",
       "      <td>6/15/1935 0:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Alma</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>MI</td>\n",
       "      <td>7/15/1936 0:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Eklutna</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CIGAR</td>\n",
       "      <td>AK</td>\n",
       "      <td>10/15/1936 17:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Hubbard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CYLINDER</td>\n",
       "      <td>OR</td>\n",
       "      <td>6/15/1937 0:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Fontana</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LIGHT</td>\n",
       "      <td>CA</td>\n",
       "      <td>8/15/1937 21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Waterloo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>FIREBALL</td>\n",
       "      <td>AL</td>\n",
       "      <td>6/1/1939 20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Belton</td>\n",
       "      <td>RED</td>\n",
       "      <td>SPHERE</td>\n",
       "      <td>SC</td>\n",
       "      <td>6/30/1939 20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Keokuk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OVAL</td>\n",
       "      <td>IA</td>\n",
       "      <td>7/7/1939 2:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Ludington</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>MI</td>\n",
       "      <td>6/1/1941 13:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Forest Home</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CIRCLE</td>\n",
       "      <td>CA</td>\n",
       "      <td>7/2/1941 11:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CA</td>\n",
       "      <td>2/25/1942 0:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Hapeville</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GA</td>\n",
       "      <td>6/1/1942 22:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Oneida</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RECTANGLE</td>\n",
       "      <td>TN</td>\n",
       "      <td>7/15/1942 1:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bering Sea</td>\n",
       "      <td>RED</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>AK</td>\n",
       "      <td>4/30/1943 23:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>NE</td>\n",
       "      <td>6/1/1943 15:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LA</td>\n",
       "      <td>8/15/1943 0:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LIGHT</td>\n",
       "      <td>LA</td>\n",
       "      <td>8/15/1943 0:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Owensboro</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RECTANGLE</td>\n",
       "      <td>KY</td>\n",
       "      <td>10/15/1943 11:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Wilderness</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>WV</td>\n",
       "      <td>1/1/1944 10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>San Diego</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CIGAR</td>\n",
       "      <td>CA</td>\n",
       "      <td>1/1/1944 12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Wilderness</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>WV</td>\n",
       "      <td>1/1/1944 12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Clovis</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>NM</td>\n",
       "      <td>4/2/1944 11:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Los Alamos</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>NM</td>\n",
       "      <td>6/1/1944 12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Ft. Duschene</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>UT</td>\n",
       "      <td>6/30/1944 10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18211</th>\n",
       "      <td>Holyoke</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DIAMOND</td>\n",
       "      <td>MA</td>\n",
       "      <td>12/28/2000 18:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18212</th>\n",
       "      <td>Carson</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/28/2000 18:20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18213</th>\n",
       "      <td>Pasadena</td>\n",
       "      <td>GREEN</td>\n",
       "      <td>FIREBALL</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/28/2000 19:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18214</th>\n",
       "      <td>Austin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>FORMATION</td>\n",
       "      <td>TX</td>\n",
       "      <td>12/29/2000 0:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18215</th>\n",
       "      <td>El Campo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>TX</td>\n",
       "      <td>12/29/2000 9:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18216</th>\n",
       "      <td>Garden Grove</td>\n",
       "      <td>ORANGE</td>\n",
       "      <td>LIGHT</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/29/2000 16:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18217</th>\n",
       "      <td>Berthoud Pass</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRIANGLE</td>\n",
       "      <td>CO</td>\n",
       "      <td>12/29/2000 19:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18218</th>\n",
       "      <td>Sisterdale</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DIAMOND</td>\n",
       "      <td>TX</td>\n",
       "      <td>12/29/2000 20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18219</th>\n",
       "      <td>Garden Grove</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CHEVRON</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/29/2000 20:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18220</th>\n",
       "      <td>Shasta Lake</td>\n",
       "      <td>BLUE</td>\n",
       "      <td>DISK</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/29/2000 20:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18221</th>\n",
       "      <td>Franklin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>NH</td>\n",
       "      <td>12/29/2000 20:50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18222</th>\n",
       "      <td>Albrightsville</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>PA</td>\n",
       "      <td>12/29/2000 21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18223</th>\n",
       "      <td>Greenville</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SC</td>\n",
       "      <td>12/29/2000 22:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18224</th>\n",
       "      <td>Eufaula</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>OK</td>\n",
       "      <td>12/29/2000 23:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18225</th>\n",
       "      <td>Simi Valley</td>\n",
       "      <td>NaN</td>\n",
       "      <td>FORMATION</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/30/2000 10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18226</th>\n",
       "      <td>San Francisco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>FORMATION</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/30/2000 22:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18227</th>\n",
       "      <td>San Francisco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRIANGLE</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/30/2000 22:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18228</th>\n",
       "      <td>Kingsville</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LIGHT</td>\n",
       "      <td>TX</td>\n",
       "      <td>12/31/2000 4:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18229</th>\n",
       "      <td>Chicago</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>IL</td>\n",
       "      <td>12/31/2000 11:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18230</th>\n",
       "      <td>Pismo Beach</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OVAL</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/31/2000 20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18231</th>\n",
       "      <td>Pismo Beach</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OVAL</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/31/2000 20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18232</th>\n",
       "      <td>Lodi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WI</td>\n",
       "      <td>12/31/2000 20:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18233</th>\n",
       "      <td>Anchorage</td>\n",
       "      <td>RED</td>\n",
       "      <td>VARIOUS</td>\n",
       "      <td>AK</td>\n",
       "      <td>12/31/2000 21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18234</th>\n",
       "      <td>Capitola</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRIANGLE</td>\n",
       "      <td>CA</td>\n",
       "      <td>12/31/2000 22:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18235</th>\n",
       "      <td>Fountain Hills</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AZ</td>\n",
       "      <td>12/31/2000 23:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18236</th>\n",
       "      <td>Grant Park</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRIANGLE</td>\n",
       "      <td>IL</td>\n",
       "      <td>12/31/2000 23:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18237</th>\n",
       "      <td>Spirit Lake</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>IA</td>\n",
       "      <td>12/31/2000 23:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18238</th>\n",
       "      <td>Eagle River</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WI</td>\n",
       "      <td>12/31/2000 23:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18239</th>\n",
       "      <td>Eagle River</td>\n",
       "      <td>RED</td>\n",
       "      <td>LIGHT</td>\n",
       "      <td>WI</td>\n",
       "      <td>12/31/2000 23:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18240</th>\n",
       "      <td>Ybor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OVAL</td>\n",
       "      <td>FL</td>\n",
       "      <td>12/31/2000 23:59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18241 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       City Colors Reported Shape Reported State  \\\n",
       "0                    Ithaca             NaN       TRIANGLE    NY   \n",
       "1               Willingboro             NaN          OTHER    NJ   \n",
       "2                   Holyoke             NaN           OVAL    CO   \n",
       "3                   Abilene             NaN           DISK    KS   \n",
       "4      New York Worlds Fair             NaN          LIGHT    NY   \n",
       "5               Valley City             NaN           DISK    ND   \n",
       "6               Crater Lake             NaN         CIRCLE    CA   \n",
       "7                      Alma             NaN           DISK    MI   \n",
       "8                   Eklutna             NaN          CIGAR    AK   \n",
       "9                   Hubbard             NaN       CYLINDER    OR   \n",
       "10                  Fontana             NaN          LIGHT    CA   \n",
       "11                 Waterloo             NaN       FIREBALL    AL   \n",
       "12                   Belton             RED         SPHERE    SC   \n",
       "13                   Keokuk             NaN           OVAL    IA   \n",
       "14                Ludington             NaN           DISK    MI   \n",
       "15              Forest Home             NaN         CIRCLE    CA   \n",
       "16              Los Angeles             NaN            NaN    CA   \n",
       "17                Hapeville             NaN            NaN    GA   \n",
       "18                   Oneida             NaN      RECTANGLE    TN   \n",
       "19               Bering Sea             RED          OTHER    AK   \n",
       "20                 Nebraska             NaN           DISK    NE   \n",
       "21                      NaN             NaN            NaN    LA   \n",
       "22                      NaN             NaN          LIGHT    LA   \n",
       "23                Owensboro             NaN      RECTANGLE    KY   \n",
       "24               Wilderness             NaN           DISK    WV   \n",
       "25                San Diego             NaN          CIGAR    CA   \n",
       "26               Wilderness             NaN           DISK    WV   \n",
       "27                   Clovis             NaN           DISK    NM   \n",
       "28               Los Alamos             NaN           DISK    NM   \n",
       "29             Ft. Duschene             NaN           DISK    UT   \n",
       "...                     ...             ...            ...   ...   \n",
       "18211               Holyoke             NaN        DIAMOND    MA   \n",
       "18212                Carson             NaN           DISK    CA   \n",
       "18213              Pasadena           GREEN       FIREBALL    CA   \n",
       "18214                Austin             NaN      FORMATION    TX   \n",
       "18215              El Campo             NaN          OTHER    TX   \n",
       "18216          Garden Grove          ORANGE          LIGHT    CA   \n",
       "18217         Berthoud Pass             NaN       TRIANGLE    CO   \n",
       "18218            Sisterdale             NaN        DIAMOND    TX   \n",
       "18219          Garden Grove             NaN        CHEVRON    CA   \n",
       "18220           Shasta Lake            BLUE           DISK    CA   \n",
       "18221              Franklin             NaN           DISK    NH   \n",
       "18222        Albrightsville             NaN          OTHER    PA   \n",
       "18223            Greenville             NaN            NaN    SC   \n",
       "18224               Eufaula             NaN           DISK    OK   \n",
       "18225           Simi Valley             NaN      FORMATION    CA   \n",
       "18226         San Francisco             NaN      FORMATION    CA   \n",
       "18227         San Francisco             NaN       TRIANGLE    CA   \n",
       "18228            Kingsville             NaN          LIGHT    TX   \n",
       "18229               Chicago             NaN           DISK    IL   \n",
       "18230           Pismo Beach             NaN           OVAL    CA   \n",
       "18231           Pismo Beach             NaN           OVAL    CA   \n",
       "18232                  Lodi             NaN            NaN    WI   \n",
       "18233             Anchorage             RED        VARIOUS    AK   \n",
       "18234              Capitola             NaN       TRIANGLE    CA   \n",
       "18235        Fountain Hills             NaN            NaN    AZ   \n",
       "18236            Grant Park             NaN       TRIANGLE    IL   \n",
       "18237           Spirit Lake             NaN           DISK    IA   \n",
       "18238           Eagle River             NaN            NaN    WI   \n",
       "18239           Eagle River             RED          LIGHT    WI   \n",
       "18240                  Ybor             NaN           OVAL    FL   \n",
       "\n",
       "                   Time  \n",
       "0        6/1/1930 22:00  \n",
       "1       6/30/1930 20:00  \n",
       "2       2/15/1931 14:00  \n",
       "3        6/1/1931 13:00  \n",
       "4       4/18/1933 19:00  \n",
       "5       9/15/1934 15:30  \n",
       "6        6/15/1935 0:00  \n",
       "7        7/15/1936 0:00  \n",
       "8      10/15/1936 17:00  \n",
       "9        6/15/1937 0:00  \n",
       "10      8/15/1937 21:00  \n",
       "11       6/1/1939 20:00  \n",
       "12      6/30/1939 20:00  \n",
       "13        7/7/1939 2:00  \n",
       "14       6/1/1941 13:00  \n",
       "15       7/2/1941 11:30  \n",
       "16       2/25/1942 0:00  \n",
       "17       6/1/1942 22:30  \n",
       "18       7/15/1942 1:00  \n",
       "19      4/30/1943 23:00  \n",
       "20       6/1/1943 15:00  \n",
       "21       8/15/1943 0:00  \n",
       "22       8/15/1943 0:00  \n",
       "23     10/15/1943 11:00  \n",
       "24       1/1/1944 10:00  \n",
       "25       1/1/1944 12:00  \n",
       "26       1/1/1944 12:00  \n",
       "27       4/2/1944 11:00  \n",
       "28       6/1/1944 12:00  \n",
       "29      6/30/1944 10:00  \n",
       "...                 ...  \n",
       "18211  12/28/2000 18:00  \n",
       "18212  12/28/2000 18:20  \n",
       "18213  12/28/2000 19:10  \n",
       "18214   12/29/2000 0:00  \n",
       "18215   12/29/2000 9:00  \n",
       "18216  12/29/2000 16:10  \n",
       "18217  12/29/2000 19:30  \n",
       "18218  12/29/2000 20:00  \n",
       "18219  12/29/2000 20:30  \n",
       "18220  12/29/2000 20:30  \n",
       "18221  12/29/2000 20:50  \n",
       "18222  12/29/2000 21:00  \n",
       "18223  12/29/2000 22:00  \n",
       "18224  12/29/2000 23:30  \n",
       "18225  12/30/2000 10:00  \n",
       "18226  12/30/2000 22:00  \n",
       "18227  12/30/2000 22:00  \n",
       "18228   12/31/2000 4:00  \n",
       "18229  12/31/2000 11:45  \n",
       "18230  12/31/2000 20:00  \n",
       "18231  12/31/2000 20:00  \n",
       "18232  12/31/2000 20:30  \n",
       "18233  12/31/2000 21:00  \n",
       "18234  12/31/2000 22:00  \n",
       "18235  12/31/2000 23:00  \n",
       "18236  12/31/2000 23:00  \n",
       "18237  12/31/2000 23:00  \n",
       "18238  12/31/2000 23:45  \n",
       "18239  12/31/2000 23:45  \n",
       "18240  12/31/2000 23:59  \n",
       "\n",
       "[18241 rows x 5 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['Ithaca', nan, 'TRIANGLE', 'NY', '6/1/1930 22:00'],\n",
       "       ['Willingboro', nan, 'OTHER', 'NJ', '6/30/1930 20:00'],\n",
       "       ['Holyoke', nan, 'OVAL', 'CO', '2/15/1931 14:00'],\n",
       "       ..., \n",
       "       ['Eagle River', nan, nan, 'WI', '12/31/2000 23:45'],\n",
       "       ['Eagle River', 'RED', 'LIGHT', 'WI', '12/31/2000 23:45'],\n",
       "       ['Ybor', nan, 'OVAL', 'FL', '12/31/2000 23:59']], dtype=object)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "drinks = pd.read_csv('https://bit.ly/drinksbycountry')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['country', 'beer_servings', 'spirit_servings', 'wine_servings',\n",
       "       'total_litres_of_pure_alcohol', 'continent'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drinks.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 193 entries, 0 to 192\n",
      "Data columns (total 6 columns):\n",
      "country                         193 non-null object\n",
      "beer_servings                   193 non-null int64\n",
      "spirit_servings                 193 non-null int64\n",
      "wine_servings                   193 non-null int64\n",
      "total_litres_of_pure_alcohol    193 non-null float64\n",
      "continent                       193 non-null object\n",
      "dtypes: float64(1), int64(3), object(2)\n",
      "memory usage: 9.1+ KB\n"
     ]
    }
   ],
   "source": [
    "drinks.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>beer_servings</th>\n",
       "      <th>spirit_servings</th>\n",
       "      <th>wine_servings</th>\n",
       "      <th>total_litres_of_pure_alcohol</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>193.000000</td>\n",
       "      <td>193.000000</td>\n",
       "      <td>193.000000</td>\n",
       "      <td>193.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>106.160622</td>\n",
       "      <td>80.994819</td>\n",
       "      <td>49.450777</td>\n",
       "      <td>4.717098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>101.143103</td>\n",
       "      <td>88.284312</td>\n",
       "      <td>79.697598</td>\n",
       "      <td>3.773298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>76.000000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>4.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>188.000000</td>\n",
       "      <td>128.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>7.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>376.000000</td>\n",
       "      <td>438.000000</td>\n",
       "      <td>370.000000</td>\n",
       "      <td>14.400000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       beer_servings  spirit_servings  wine_servings  \\\n",
       "count     193.000000       193.000000     193.000000   \n",
       "mean      106.160622        80.994819      49.450777   \n",
       "std       101.143103        88.284312      79.697598   \n",
       "min         0.000000         0.000000       0.000000   \n",
       "25%        20.000000         4.000000       1.000000   \n",
       "50%        76.000000        56.000000       8.000000   \n",
       "75%       188.000000       128.000000      59.000000   \n",
       "max       376.000000       438.000000     370.000000   \n",
       "\n",
       "       total_litres_of_pure_alcohol  \n",
       "count                    193.000000  \n",
       "mean                       4.717098  \n",
       "std                        3.773298  \n",
       "min                        0.000000  \n",
       "25%                        1.300000  \n",
       "50%                        4.200000  \n",
       "75%                        7.200000  \n",
       "max                       14.400000  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drinks.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfed0fc5c0>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VlWzevJmHHnqIX/7yl+zatQuAadOmUVlZyfr16ykuLmbWrFk88sgjMXVOFvt9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\nDTMd2bv3OxYvrJF0cadD9/L+DhPm/m4tW9q9ySo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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfed105c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "drinks.loc[:,'beer_servings':'total_litres_of_pure_alcohol'].plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>beer_servings</th>\n",
       "      <th>spirit_servings</th>\n",
       "      <th>wine_servings</th>\n",
       "      <th>total_litres_of_pure_alcohol</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>continent</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>89</td>\n",
       "      <td>132</td>\n",
       "      <td>54</td>\n",
       "      <td>4.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>245</td>\n",
       "      <td>138</td>\n",
       "      <td>312</td>\n",
       "      <td>12.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>217</td>\n",
       "      <td>57</td>\n",
       "      <td>45</td>\n",
       "      <td>5.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North America</th>\n",
       "      <td>102</td>\n",
       "      <td>128</td>\n",
       "      <td>45</td>\n",
       "      <td>4.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South America</th>\n",
       "      <td>193</td>\n",
       "      <td>25</td>\n",
       "      <td>221</td>\n",
       "      <td>8.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>21</td>\n",
       "      <td>179</td>\n",
       "      <td>11</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oceania</th>\n",
       "      <td>261</td>\n",
       "      <td>72</td>\n",
       "      <td>212</td>\n",
       "      <td>10.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>279</td>\n",
       "      <td>75</td>\n",
       "      <td>191</td>\n",
       "      <td>9.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>21</td>\n",
       "      <td>46</td>\n",
       "      <td>5</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North America</th>\n",
       "      <td>122</td>\n",
       "      <td>176</td>\n",
       "      <td>51</td>\n",
       "      <td>6.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>42</td>\n",
       "      <td>63</td>\n",
       "      <td>7</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North America</th>\n",
       "      <td>143</td>\n",
       "      <td>173</td>\n",
       "      <td>36</td>\n",
       "      <td>6.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>142</td>\n",
       "      <td>373</td>\n",
       "      <td>42</td>\n",
       "      <td>14.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>295</td>\n",
       "      <td>84</td>\n",
       "      <td>212</td>\n",
       "      <td>10.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North America</th>\n",
       "      <td>263</td>\n",
       "      <td>114</td>\n",
       "      <td>8</td>\n",
       "      <td>6.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>34</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>1.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South America</th>\n",
       "      <td>167</td>\n",
       "      <td>41</td>\n",
       "      <td>8</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>76</td>\n",
       "      <td>173</td>\n",
       "      <td>8</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>173</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>5.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South America</th>\n",
       "      <td>245</td>\n",
       "      <td>145</td>\n",
       "      <td>16</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>231</td>\n",
       "      <td>252</td>\n",
       "      <td>94</td>\n",
       "      <td>10.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>25</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>4.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>88</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>144</td>\n",
       "      <td>56</td>\n",
       "      <td>16</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South America</th>\n",
       "      <td>128</td>\n",
       "      <td>178</td>\n",
       "      <td>7</td>\n",
       "      <td>5.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>90</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>152</td>\n",
       "      <td>60</td>\n",
       "      <td>186</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>185</td>\n",
       "      <td>100</td>\n",
       "      <td>280</td>\n",
       "      <td>10.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>5</td>\n",
       "      <td>35</td>\n",
       "      <td>16</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>99</td>\n",
       "      <td>258</td>\n",
       "      <td>1</td>\n",
       "      <td>6.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>106</td>\n",
       "      <td>27</td>\n",
       "      <td>86</td>\n",
       "      <td>3.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>36</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oceania</th>\n",
       "      <td>36</td>\n",
       "      <td>21</td>\n",
       "      <td>5</td>\n",
       "      <td>1.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North America</th>\n",
       "      <td>197</td>\n",
       "      <td>156</td>\n",
       "      <td>7</td>\n",
       "      <td>6.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>51</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>51</td>\n",
       "      <td>22</td>\n",
       "      <td>7</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>19</td>\n",
       "      <td>71</td>\n",
       "      <td>32</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oceania</th>\n",
       "      <td>6</td>\n",
       "      <td>41</td>\n",
       "      <td>9</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>45</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>8.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>206</td>\n",
       "      <td>237</td>\n",
       "      <td>45</td>\n",
       "      <td>8.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>16</td>\n",
       "      <td>135</td>\n",
       "      <td>5</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>219</td>\n",
       "      <td>126</td>\n",
       "      <td>195</td>\n",
       "      <td>10.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>36</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>5.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North America</th>\n",
       "      <td>249</td>\n",
       "      <td>158</td>\n",
       "      <td>84</td>\n",
       "      <td>8.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South America</th>\n",
       "      <td>115</td>\n",
       "      <td>35</td>\n",
       "      <td>220</td>\n",
       "      <td>6.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>25</td>\n",
       "      <td>101</td>\n",
       "      <td>8</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oceania</th>\n",
       "      <td>21</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South America</th>\n",
       "      <td>333</td>\n",
       "      <td>100</td>\n",
       "      <td>3</td>\n",
       "      <td>7.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>111</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>32</td>\n",
       "      <td>19</td>\n",
       "      <td>4</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>64</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>193 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               beer_servings  spirit_servings  wine_servings  \\\n",
       "continent                                                      \n",
       "Asia                       0                0              0   \n",
       "Europe                    89              132             54   \n",
       "Africa                    25                0             14   \n",
       "Europe                   245              138            312   \n",
       "Africa                   217               57             45   \n",
       "North America            102              128             45   \n",
       "South America            193               25            221   \n",
       "Europe                    21              179             11   \n",
       "Oceania                  261               72            212   \n",
       "Europe                   279               75            191   \n",
       "Europe                    21               46              5   \n",
       "North America            122              176             51   \n",
       "Asia                      42               63              7   \n",
       "Asia                       0                0              0   \n",
       "North America            143              173             36   \n",
       "Europe                   142              373             42   \n",
       "Europe                   295               84            212   \n",
       "North America            263              114              8   \n",
       "Africa                    34                4             13   \n",
       "Asia                      23                0              0   \n",
       "South America            167               41              8   \n",
       "Europe                    76              173              8   \n",
       "Africa                   173               35             35   \n",
       "South America            245              145             16   \n",
       "Asia                      31                2              1   \n",
       "Europe                   231              252             94   \n",
       "Africa                    25                7              7   \n",
       "Africa                    88                0              0   \n",
       "Africa                    37                1              7   \n",
       "Africa                   144               56             16   \n",
       "...                      ...              ...            ...   \n",
       "South America            128              178              7   \n",
       "Africa                    90                2              2   \n",
       "Europe                   152               60            186   \n",
       "Europe                   185              100            280   \n",
       "Asia                       5               35             16   \n",
       "Asia                       2               15              0   \n",
       "Asia                      99              258              1   \n",
       "Europe                   106               27             86   \n",
       "Asia                       1                1              4   \n",
       "Africa                    36                2             19   \n",
       "Oceania                   36               21              5   \n",
       "North America            197              156              7   \n",
       "Africa                    51                3             20   \n",
       "Asia                      51               22              7   \n",
       "Asia                      19               71             32   \n",
       "Oceania                    6               41              9   \n",
       "Africa                    45                9              0   \n",
       "Europe                   206              237             45   \n",
       "Asia                      16              135              5   \n",
       "Europe                   219              126            195   \n",
       "Africa                    36                6              1   \n",
       "North America            249              158             84   \n",
       "South America            115               35            220   \n",
       "Asia                      25              101              8   \n",
       "Oceania                   21               18             11   \n",
       "South America            333              100              3   \n",
       "Asia                     111                2              1   \n",
       "Asia                       6                0              0   \n",
       "Africa                    32               19              4   \n",
       "Africa                    64               18              4   \n",
       "\n",
       "               total_litres_of_pure_alcohol  \n",
       "continent                                    \n",
       "Asia                                    0.0  \n",
       "Europe                                  4.9  \n",
       "Africa                                  0.7  \n",
       "Europe                                 12.4  \n",
       "Africa                                  5.9  \n",
       "North America                           4.9  \n",
       "South America                           8.3  \n",
       "Europe                                  3.8  \n",
       "Oceania                                10.4  \n",
       "Europe                                  9.7  \n",
       "Europe                                  1.3  \n",
       "North America                           6.3  \n",
       "Asia                                    2.0  \n",
       "Asia                                    0.0  \n",
       "North America                           6.3  \n",
       "Europe                                 14.4  \n",
       "Europe                                 10.5  \n",
       "North America                           6.8  \n",
       "Africa                                  1.1  \n",
       "Asia                                    0.4  \n",
       "South America                           3.8  \n",
       "Europe                                  4.6  \n",
       "Africa                                  5.4  \n",
       "South America                           7.2  \n",
       "Asia                                    0.6  \n",
       "Europe                                 10.3  \n",
       "Africa                                  4.3  \n",
       "Africa                                  6.3  \n",
       "Africa                                  4.0  \n",
       "Africa                                  4.0  \n",
       "...                                     ...  \n",
       "South America                           5.6  \n",
       "Africa                                  4.7  \n",
       "Europe                                  7.2  \n",
       "Europe                                 10.2  \n",
       "Asia                                    1.0  \n",
       "Asia                                    0.3  \n",
       "Asia                                    6.4  \n",
       "Europe                                  3.9  \n",
       "Asia                                    0.1  \n",
       "Africa                                  1.3  \n",
       "Oceania                                 1.1  \n",
       "North America                           6.4  \n",
       "Africa                                  1.3  \n",
       "Asia                                    1.4  \n",
       "Asia                                    2.2  \n",
       "Oceania                                 1.0  \n",
       "Africa                                  8.3  \n",
       "Europe                                  8.9  \n",
       "Asia                                    2.8  \n",
       "Europe                                 10.4  \n",
       "Africa                                  5.7  \n",
       "North America                           8.7  \n",
       "South America                           6.6  \n",
       "Asia                                    2.4  \n",
       "Oceania                                 0.9  \n",
       "South America                           7.7  \n",
       "Asia                                    2.0  \n",
       "Asia                                    0.1  \n",
       "Africa                                  2.5  \n",
       "Africa                                  4.7  \n",
       "\n",
       "[193 rows x 4 columns]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drinks.set_index('continent').drop('country',axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>beer_servings</th>\n",
       "      <th>spirit_servings</th>\n",
       "      <th>wine_servings</th>\n",
       "      <th>total_litres_of_pure_alcohol</th>\n",
       "      <th>continent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</td>\n",
       "      <td>89</td>\n",
       "      <td>132</td>\n",
       "      <td>54</td>\n",
       "      <td>4.9</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0.7</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>245</td>\n",
       "      <td>138</td>\n",
       "      <td>312</td>\n",
       "      <td>12.4</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Angola</td>\n",
       "      <td>217</td>\n",
       "      <td>57</td>\n",
       "      <td>45</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Antigua &amp; Barbuda</td>\n",
       "      <td>102</td>\n",
       "      <td>128</td>\n",
       "      <td>45</td>\n",
       "      <td>4.9</td>\n",
       "      <td>North America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>193</td>\n",
       "      <td>25</td>\n",
       "      <td>221</td>\n",
       "      <td>8.3</td>\n",
       "      <td>South America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Armenia</td>\n",
       "      <td>21</td>\n",
       "      <td>179</td>\n",
       "      <td>11</td>\n",
       "      <td>3.8</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Australia</td>\n",
       "      <td>261</td>\n",
       "      <td>72</td>\n",
       "      <td>212</td>\n",
       "      <td>10.4</td>\n",
       "      <td>Oceania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Austria</td>\n",
       "      <td>279</td>\n",
       "      <td>75</td>\n",
       "      <td>191</td>\n",
       "      <td>9.7</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>21</td>\n",
       "      <td>46</td>\n",
       "      <td>5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Bahamas</td>\n",
       "      <td>122</td>\n",
       "      <td>176</td>\n",
       "      <td>51</td>\n",
       "      <td>6.3</td>\n",
       "      <td>North America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>42</td>\n",
       "      <td>63</td>\n",
       "      <td>7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Barbados</td>\n",
       "      <td>143</td>\n",
       "      <td>173</td>\n",
       "      <td>36</td>\n",
       "      <td>6.3</td>\n",
       "      <td>North America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Belarus</td>\n",
       "      <td>142</td>\n",
       "      <td>373</td>\n",
       "      <td>42</td>\n",
       "      <td>14.4</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>295</td>\n",
       "      <td>84</td>\n",
       "      <td>212</td>\n",
       "      <td>10.5</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Belize</td>\n",
       "      <td>263</td>\n",
       "      <td>114</td>\n",
       "      <td>8</td>\n",
       "      <td>6.8</td>\n",
       "      <td>North America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Benin</td>\n",
       "      <td>34</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>1.1</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bhutan</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Bolivia</td>\n",
       "      <td>167</td>\n",
       "      <td>41</td>\n",
       "      <td>8</td>\n",
       "      <td>3.8</td>\n",
       "      <td>South America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Bosnia-Herzegovina</td>\n",
       "      <td>76</td>\n",
       "      <td>173</td>\n",
       "      <td>8</td>\n",
       "      <td>4.6</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Botswana</td>\n",
       "      <td>173</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>5.4</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>245</td>\n",
       "      <td>145</td>\n",
       "      <td>16</td>\n",
       "      <td>7.2</td>\n",
       "      <td>South America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Brunei</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>231</td>\n",
       "      <td>252</td>\n",
       "      <td>94</td>\n",
       "      <td>10.3</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>25</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>4.3</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>88</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Cote d'Ivoire</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Cabo Verde</td>\n",
       "      <td>144</td>\n",
       "      <td>56</td>\n",
       "      <td>16</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>Suriname</td>\n",
       "      <td>128</td>\n",
       "      <td>178</td>\n",
       "      <td>7</td>\n",
       "      <td>5.6</td>\n",
       "      <td>South America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>Swaziland</td>\n",
       "      <td>90</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4.7</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>152</td>\n",
       "      <td>60</td>\n",
       "      <td>186</td>\n",
       "      <td>7.2</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>185</td>\n",
       "      <td>100</td>\n",
       "      <td>280</td>\n",
       "      <td>10.2</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>Syria</td>\n",
       "      <td>5</td>\n",
       "      <td>35</td>\n",
       "      <td>16</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>Tajikistan</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>Thailand</td>\n",
       "      <td>99</td>\n",
       "      <td>258</td>\n",
       "      <td>1</td>\n",
       "      <td>6.4</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>Macedonia</td>\n",
       "      <td>106</td>\n",
       "      <td>27</td>\n",
       "      <td>86</td>\n",
       "      <td>3.9</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>Timor-Leste</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>Togo</td>\n",
       "      <td>36</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>1.3</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>Tonga</td>\n",
       "      <td>36</td>\n",
       "      <td>21</td>\n",
       "      <td>5</td>\n",
       "      <td>1.1</td>\n",
       "      <td>Oceania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>Trinidad &amp; Tobago</td>\n",
       "      <td>197</td>\n",
       "      <td>156</td>\n",
       "      <td>7</td>\n",
       "      <td>6.4</td>\n",
       "      <td>North America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>Tunisia</td>\n",
       "      <td>51</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>1.3</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>Turkey</td>\n",
       "      <td>51</td>\n",
       "      <td>22</td>\n",
       "      <td>7</td>\n",
       "      <td>1.4</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>Turkmenistan</td>\n",
       "      <td>19</td>\n",
       "      <td>71</td>\n",
       "      <td>32</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>Tuvalu</td>\n",
       "      <td>6</td>\n",
       "      <td>41</td>\n",
       "      <td>9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Oceania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>Uganda</td>\n",
       "      <td>45</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>Ukraine</td>\n",
       "      <td>206</td>\n",
       "      <td>237</td>\n",
       "      <td>45</td>\n",
       "      <td>8.9</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>16</td>\n",
       "      <td>135</td>\n",
       "      <td>5</td>\n",
       "      <td>2.8</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>219</td>\n",
       "      <td>126</td>\n",
       "      <td>195</td>\n",
       "      <td>10.4</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>Tanzania</td>\n",
       "      <td>36</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>5.7</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>USA</td>\n",
       "      <td>249</td>\n",
       "      <td>158</td>\n",
       "      <td>84</td>\n",
       "      <td>8.7</td>\n",
       "      <td>North America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>Uruguay</td>\n",
       "      <td>115</td>\n",
       "      <td>35</td>\n",
       "      <td>220</td>\n",
       "      <td>6.6</td>\n",
       "      <td>South America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>Uzbekistan</td>\n",
       "      <td>25</td>\n",
       "      <td>101</td>\n",
       "      <td>8</td>\n",
       "      <td>2.4</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>Vanuatu</td>\n",
       "      <td>21</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "      <td>0.9</td>\n",
       "      <td>Oceania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>Venezuela</td>\n",
       "      <td>333</td>\n",
       "      <td>100</td>\n",
       "      <td>3</td>\n",
       "      <td>7.7</td>\n",
       "      <td>South America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>111</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Yemen</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>32</td>\n",
       "      <td>19</td>\n",
       "      <td>4</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>64</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>4.7</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>193 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  country  beer_servings  spirit_servings  wine_servings  \\\n",
       "0             Afghanistan              0                0              0   \n",
       "1                 Albania             89              132             54   \n",
       "2                 Algeria             25                0             14   \n",
       "3                 Andorra            245              138            312   \n",
       "4                  Angola            217               57             45   \n",
       "5       Antigua & Barbuda            102              128             45   \n",
       "6               Argentina            193               25            221   \n",
       "7                 Armenia             21              179             11   \n",
       "8               Australia            261               72            212   \n",
       "9                 Austria            279               75            191   \n",
       "10             Azerbaijan             21               46              5   \n",
       "11                Bahamas            122              176             51   \n",
       "12                Bahrain             42               63              7   \n",
       "13             Bangladesh              0                0              0   \n",
       "14               Barbados            143              173             36   \n",
       "15                Belarus            142              373             42   \n",
       "16                Belgium            295               84            212   \n",
       "17                 Belize            263              114              8   \n",
       "18                  Benin             34                4             13   \n",
       "19                 Bhutan             23                0              0   \n",
       "20                Bolivia            167               41              8   \n",
       "21     Bosnia-Herzegovina             76              173              8   \n",
       "22               Botswana            173               35             35   \n",
       "23                 Brazil            245              145             16   \n",
       "24                 Brunei             31                2              1   \n",
       "25               Bulgaria            231              252             94   \n",
       "26           Burkina Faso             25                7              7   \n",
       "27                Burundi             88                0              0   \n",
       "28          Cote d'Ivoire             37                1              7   \n",
       "29             Cabo Verde            144               56             16   \n",
       "..                    ...            ...              ...            ...   \n",
       "163              Suriname            128              178              7   \n",
       "164             Swaziland             90                2              2   \n",
       "165                Sweden            152               60            186   \n",
       "166           Switzerland            185              100            280   \n",
       "167                 Syria              5               35             16   \n",
       "168            Tajikistan              2               15              0   \n",
       "169              Thailand             99              258              1   \n",
       "170             Macedonia            106               27             86   \n",
       "171           Timor-Leste              1                1              4   \n",
       "172                  Togo             36                2             19   \n",
       "173                 Tonga             36               21              5   \n",
       "174     Trinidad & Tobago            197              156              7   \n",
       "175               Tunisia             51                3             20   \n",
       "176                Turkey             51               22              7   \n",
       "177          Turkmenistan             19               71             32   \n",
       "178                Tuvalu              6               41              9   \n",
       "179                Uganda             45                9              0   \n",
       "180               Ukraine            206              237             45   \n",
       "181  United Arab Emirates             16              135              5   \n",
       "182        United Kingdom            219              126            195   \n",
       "183              Tanzania             36                6              1   \n",
       "184                   USA            249              158             84   \n",
       "185               Uruguay            115               35            220   \n",
       "186            Uzbekistan             25              101              8   \n",
       "187               Vanuatu             21               18             11   \n",
       "188             Venezuela            333              100              3   \n",
       "189               Vietnam            111                2              1   \n",
       "190                 Yemen              6                0              0   \n",
       "191                Zambia             32               19              4   \n",
       "192              Zimbabwe             64               18              4   \n",
       "\n",
       "     total_litres_of_pure_alcohol      continent  \n",
       "0                             0.0           Asia  \n",
       "1                             4.9         Europe  \n",
       "2                             0.7         Africa  \n",
       "3                            12.4         Europe  \n",
       "4                             5.9         Africa  \n",
       "5                             4.9  North America  \n",
       "6                             8.3  South America  \n",
       "7                             3.8         Europe  \n",
       "8                            10.4        Oceania  \n",
       "9                             9.7         Europe  \n",
       "10                            1.3         Europe  \n",
       "11                            6.3  North America  \n",
       "12                            2.0           Asia  \n",
       "13                            0.0           Asia  \n",
       "14                            6.3  North America  \n",
       "15                           14.4         Europe  \n",
       "16                           10.5         Europe  \n",
       "17                            6.8  North America  \n",
       "18                            1.1         Africa  \n",
       "19                            0.4           Asia  \n",
       "20                            3.8  South America  \n",
       "21                            4.6         Europe  \n",
       "22                            5.4         Africa  \n",
       "23                            7.2  South America  \n",
       "24                            0.6           Asia  \n",
       "25                           10.3         Europe  \n",
       "26                            4.3         Africa  \n",
       "27                            6.3         Africa  \n",
       "28                            4.0         Africa  \n",
       "29                            4.0         Africa  \n",
       "..                            ...            ...  \n",
       "163                           5.6  South America  \n",
       "164                           4.7         Africa  \n",
       "165                           7.2         Europe  \n",
       "166                          10.2         Europe  \n",
       "167                           1.0           Asia  \n",
       "168                           0.3           Asia  \n",
       "169                           6.4           Asia  \n",
       "170                           3.9         Europe  \n",
       "171                           0.1           Asia  \n",
       "172                           1.3         Africa  \n",
       "173                           1.1        Oceania  \n",
       "174                           6.4  North America  \n",
       "175                           1.3         Africa  \n",
       "176                           1.4           Asia  \n",
       "177                           2.2           Asia  \n",
       "178                           1.0        Oceania  \n",
       "179                           8.3         Africa  \n",
       "180                           8.9         Europe  \n",
       "181                           2.8           Asia  \n",
       "182                          10.4         Europe  \n",
       "183                           5.7         Africa  \n",
       "184                           8.7  North America  \n",
       "185                           6.6  South America  \n",
       "186                           2.4           Asia  \n",
       "187                           0.9        Oceania  \n",
       "188                           7.7  South America  \n",
       "189                           2.0           Asia  \n",
       "190                           0.1           Asia  \n",
       "191                           2.5         Africa  \n",
       "192                           4.7         Africa  \n",
       "\n",
       "[193 rows x 6 columns]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drinks"
   ]
  },
  {
   "cell_type": "code",
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   },
   "outputs": [],
   "source": []
  }
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