USDA Food Database.ipynb

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      "import json"
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     "input": [
      "db = json.load(open('pydata-book/ch07/foods-2011-10-03.json'))"
     ],
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     "metadata": {},
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     "prompt_number": 4
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     "input": [
      "len(db)"
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        "6636"
       ]
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    {
     "cell_type": "code",
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     "input": [
      "import pandas as pd\n",
      "pd.DataFrame(db[0]['nutrients'])"
     ],
     "language": "python",
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       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>description</th>\n",
        "      <th>group</th>\n",
        "      <th>units</th>\n",
        "      <th>value</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0 </th>\n",
        "      <td>                            Protein</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   25.180</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1 </th>\n",
        "      <td>                  Total lipid (fat)</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   29.200</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2 </th>\n",
        "      <td>        Carbohydrate, by difference</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>    3.060</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3 </th>\n",
        "      <td>                                Ash</td>\n",
        "      <td>       Other</td>\n",
        "      <td>       g</td>\n",
        "      <td>    3.280</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4 </th>\n",
        "      <td>                             Energy</td>\n",
        "      <td>      Energy</td>\n",
        "      <td>    kcal</td>\n",
        "      <td>  376.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 </th>\n",
        "      <td>                              Water</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   39.280</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6 </th>\n",
        "      <td>                             Energy</td>\n",
        "      <td>      Energy</td>\n",
        "      <td>      kJ</td>\n",
        "      <td> 1573.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7 </th>\n",
        "      <td>               Fiber, total dietary</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8 </th>\n",
        "      <td>                        Calcium, Ca</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>  673.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9 </th>\n",
        "      <td>                           Iron, Fe</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.640</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td>                      Magnesium, Mg</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>   22.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td>                      Phosphorus, P</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>  490.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
        "      <td>                       Potassium, K</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>   93.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
        "      <td>                         Sodium, Na</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>  690.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
        "      <td>                           Zinc, Zn</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    2.940</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
        "      <td>                         Copper, Cu</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.024</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
        "      <td>                      Manganese, Mn</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.021</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
        "      <td>                       Selenium, Se</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>   14.500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18</th>\n",
        "      <td>                      Vitamin A, IU</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      IU</td>\n",
        "      <td> 1054.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19</th>\n",
        "      <td>                            Retinol</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>  262.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>20</th>\n",
        "      <td>                     Vitamin A, RAE</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td> mcg_RAE</td>\n",
        "      <td>  271.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>21</th>\n",
        "      <td>     Vitamin C, total ascorbic acid</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>22</th>\n",
        "      <td>                            Thiamin</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.031</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>23</th>\n",
        "      <td>                         Riboflavin</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.450</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24</th>\n",
        "      <td>                             Niacin</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.180</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25</th>\n",
        "      <td>                   Pantothenic acid</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.190</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>26</th>\n",
        "      <td>                        Vitamin B-6</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.074</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>27</th>\n",
        "      <td>                      Folate, total</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>   18.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>28</th>\n",
        "      <td>                       Vitamin B-12</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>    0.270</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>29</th>\n",
        "      <td>                         Folic acid</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>    0.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30</th>\n",
        "      <td>                       Folate, food</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>   18.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>31</th>\n",
        "      <td>                        Folate, DFE</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td> mcg_DFE</td>\n",
        "      <td>   18.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>32</th>\n",
        "      <td>                        Cholesterol</td>\n",
        "      <td>       Other</td>\n",
        "      <td>      mg</td>\n",
        "      <td>   93.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>33</th>\n",
        "      <td>       Fatty acids, total saturated</td>\n",
        "      <td>       Other</td>\n",
        "      <td>       g</td>\n",
        "      <td>   18.584</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>34</th>\n",
        "      <td> Fatty acids, total monounsaturated</td>\n",
        "      <td>       Other</td>\n",
        "      <td>       g</td>\n",
        "      <td>    8.275</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>35</th>\n",
        "      <td> Fatty acids, total polyunsaturated</td>\n",
        "      <td>       Other</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.830</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>36</th>\n",
        "      <td>                         Tryptophan</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.324</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>37</th>\n",
        "      <td>                          Threonine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.896</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>38</th>\n",
        "      <td>                         Isoleucine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.563</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>39</th>\n",
        "      <td>                            Leucine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    2.412</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>40</th>\n",
        "      <td>                             Lysine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    2.095</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>41</th>\n",
        "      <td>                         Methionine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.659</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>42</th>\n",
        "      <td>                            Cystine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.126</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>43</th>\n",
        "      <td>                      Phenylalanine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.326</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>44</th>\n",
        "      <td>                           Tyrosine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.216</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>45</th>\n",
        "      <td>                             Valine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.682</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>46</th>\n",
        "      <td>                           Arginine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.952</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>47</th>\n",
        "      <td>                          Histidine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.884</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>48</th>\n",
        "      <td>                            Alanine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.711</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>49</th>\n",
        "      <td>                      Aspartic acid</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.618</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50</th>\n",
        "      <td>                      Glutamic acid</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    6.160</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>51</th>\n",
        "      <td>                            Glycine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.439</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>52</th>\n",
        "      <td>                            Proline</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    2.838</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>53</th>\n",
        "      <td>                             Serine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.472</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>54</th>\n",
        "      <td>                            Protein</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   25.180</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>55</th>\n",
        "      <td>                  Total lipid (fat)</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   29.200</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>56</th>\n",
        "      <td>        Carbohydrate, by difference</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>    3.060</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>57</th>\n",
        "      <td>                                Ash</td>\n",
        "      <td>       Other</td>\n",
        "      <td>       g</td>\n",
        "      <td>    3.280</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>58</th>\n",
        "      <td>                             Energy</td>\n",
        "      <td>      Energy</td>\n",
        "      <td>    kcal</td>\n",
        "      <td>  376.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>59</th>\n",
        "      <td>                              Water</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   39.280</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th></th>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>162 rows \u00d7 4 columns</p>\n",
        "</div>"
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       "text": [
        "                           description        group    units     value\n",
        "0                              Protein  Composition        g    25.180\n",
        "1                    Total lipid (fat)  Composition        g    29.200\n",
        "2          Carbohydrate, by difference  Composition        g     3.060\n",
        "3                                  Ash        Other        g     3.280\n",
        "4                               Energy       Energy     kcal   376.000\n",
        "5                                Water  Composition        g    39.280\n",
        "6                               Energy       Energy       kJ  1573.000\n",
        "7                 Fiber, total dietary  Composition        g     0.000\n",
        "8                          Calcium, Ca     Elements       mg   673.000\n",
        "9                             Iron, Fe     Elements       mg     0.640\n",
        "10                       Magnesium, Mg     Elements       mg    22.000\n",
        "11                       Phosphorus, P     Elements       mg   490.000\n",
        "12                        Potassium, K     Elements       mg    93.000\n",
        "13                          Sodium, Na     Elements       mg   690.000\n",
        "14                            Zinc, Zn     Elements       mg     2.940\n",
        "15                          Copper, Cu     Elements       mg     0.024\n",
        "16                       Manganese, Mn     Elements       mg     0.021\n",
        "17                        Selenium, Se     Elements      mcg    14.500\n",
        "18                       Vitamin A, IU     Vitamins       IU  1054.000\n",
        "19                             Retinol     Vitamins      mcg   262.000\n",
        "20                      Vitamin A, RAE     Vitamins  mcg_RAE   271.000\n",
        "21      Vitamin C, total ascorbic acid     Vitamins       mg     0.000\n",
        "22                             Thiamin     Vitamins       mg     0.031\n",
        "23                          Riboflavin     Vitamins       mg     0.450\n",
        "24                              Niacin     Vitamins       mg     0.180\n",
        "25                    Pantothenic acid     Vitamins       mg     0.190\n",
        "26                         Vitamin B-6     Vitamins       mg     0.074\n",
        "27                       Folate, total     Vitamins      mcg    18.000\n",
        "28                        Vitamin B-12     Vitamins      mcg     0.270\n",
        "29                          Folic acid     Vitamins      mcg     0.000\n",
        "30                        Folate, food     Vitamins      mcg    18.000\n",
        "31                         Folate, DFE     Vitamins  mcg_DFE    18.000\n",
        "32                         Cholesterol        Other       mg    93.000\n",
        "33        Fatty acids, total saturated        Other        g    18.584\n",
        "34  Fatty acids, total monounsaturated        Other        g     8.275\n",
        "35  Fatty acids, total polyunsaturated        Other        g     0.830\n",
        "36                          Tryptophan  Amino Acids        g     0.324\n",
        "37                           Threonine  Amino Acids        g     0.896\n",
        "38                          Isoleucine  Amino Acids        g     1.563\n",
        "39                             Leucine  Amino Acids        g     2.412\n",
        "40                              Lysine  Amino Acids        g     2.095\n",
        "41                          Methionine  Amino Acids        g     0.659\n",
        "42                             Cystine  Amino Acids        g     0.126\n",
        "43                       Phenylalanine  Amino Acids        g     1.326\n",
        "44                            Tyrosine  Amino Acids        g     1.216\n",
        "45                              Valine  Amino Acids        g     1.682\n",
        "46                            Arginine  Amino Acids        g     0.952\n",
        "47                           Histidine  Amino Acids        g     0.884\n",
        "48                             Alanine  Amino Acids        g     0.711\n",
        "49                       Aspartic acid  Amino Acids        g     1.618\n",
        "50                       Glutamic acid  Amino Acids        g     6.160\n",
        "51                             Glycine  Amino Acids        g     0.439\n",
        "52                             Proline  Amino Acids        g     2.838\n",
        "53                              Serine  Amino Acids        g     1.472\n",
        "54                             Protein  Composition        g    25.180\n",
        "55                   Total lipid (fat)  Composition        g    29.200\n",
        "56         Carbohydrate, by difference  Composition        g     3.060\n",
        "57                                 Ash        Other        g     3.280\n",
        "58                              Energy       Energy     kcal   376.000\n",
        "59                               Water  Composition        g    39.280\n",
        "                                   ...          ...      ...       ...\n",
        "\n",
        "[162 rows x 4 columns]"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "info_keys = ['description', 'group', 'id', 'manufacturer']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "info = pd.DataFrame(db, columns=info_keys)\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "info.group.value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "Vegetables and Vegetable Products    812\n",
        "Beef Products                        618\n",
        "Baked Products                       496\n",
        "Breakfast Cereals                    403\n",
        "Legumes and Legume Products          365\n",
        "Fast Foods                           365\n",
        "Lamb, Veal, and Game Products        345\n",
        "Sweets                               341\n",
        "Fruits and Fruit Juices              328\n",
        "Pork Products                        328\n",
        "Beverages                            278\n",
        "Soups, Sauces, and Gravies           275\n",
        "Finfish and Shellfish Products       255\n",
        "Baby Foods                           209\n",
        "Cereal Grains and Pasta              183\n",
        "Ethnic Foods                         165\n",
        "Snacks                               162\n",
        "Nut and Seed Products                128\n",
        "Poultry Products                     116\n",
        "Sausages and Luncheon Meats          111\n",
        "Dairy and Egg Products               107\n",
        "Fats and Oils                         97\n",
        "Meals, Entrees, and Sidedishes        57\n",
        "Restaurant Foods                      51\n",
        "Spices and Herbs                      41\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "nutrients = []\n",
      "for rec in db:\n",
      "    fnuts = pd.DataFrame(rec['nutrients'])\n",
      "    fnuts['id'] = rec['id']\n",
      "    nutrients.append(fnuts)\n",
      "nutrients = pd.concat(nutrients, ignore_index=True)\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 34
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "nutrients = nutrients.drop_duplicates()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 46
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "col_mapping={'description':'food','group':'fgroup'}"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 40
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "info = info.rename(columns=col_mapping)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 45
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "nutrients = nutrients.rename(columns={'description':'nutrient','group':'nutgroup'})"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 55
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "nutrients"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>nutrient</th>\n",
        "      <th>nutgroup</th>\n",
        "      <th>units</th>\n",
        "      <th>value</th>\n",
        "      <th>id</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0  </th>\n",
        "      <td>                            Protein</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   25.180</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1  </th>\n",
        "      <td>                  Total lipid (fat)</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   29.200</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2  </th>\n",
        "      <td>        Carbohydrate, by difference</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>    3.060</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3  </th>\n",
        "      <td>                                Ash</td>\n",
        "      <td>       Other</td>\n",
        "      <td>       g</td>\n",
        "      <td>    3.280</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4  </th>\n",
        "      <td>                             Energy</td>\n",
        "      <td>      Energy</td>\n",
        "      <td>    kcal</td>\n",
        "      <td>  376.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5  </th>\n",
        "      <td>                              Water</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   39.280</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6  </th>\n",
        "      <td>                             Energy</td>\n",
        "      <td>      Energy</td>\n",
        "      <td>      kJ</td>\n",
        "      <td> 1573.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7  </th>\n",
        "      <td>               Fiber, total dietary</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8  </th>\n",
        "      <td>                        Calcium, Ca</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>  673.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9  </th>\n",
        "      <td>                           Iron, Fe</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.640</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10 </th>\n",
        "      <td>                      Magnesium, Mg</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>   22.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11 </th>\n",
        "      <td>                      Phosphorus, P</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>  490.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12 </th>\n",
        "      <td>                       Potassium, K</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>   93.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13 </th>\n",
        "      <td>                         Sodium, Na</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>  690.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14 </th>\n",
        "      <td>                           Zinc, Zn</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    2.940</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15 </th>\n",
        "      <td>                         Copper, Cu</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.024</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16 </th>\n",
        "      <td>                      Manganese, Mn</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.021</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17 </th>\n",
        "      <td>                       Selenium, Se</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>   14.500</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18 </th>\n",
        "      <td>                      Vitamin A, IU</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      IU</td>\n",
        "      <td> 1054.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19 </th>\n",
        "      <td>                            Retinol</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>  262.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>20 </th>\n",
        "      <td>                     Vitamin A, RAE</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td> mcg_RAE</td>\n",
        "      <td>  271.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>21 </th>\n",
        "      <td>     Vitamin C, total ascorbic acid</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>22 </th>\n",
        "      <td>                            Thiamin</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.031</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>23 </th>\n",
        "      <td>                         Riboflavin</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.450</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24 </th>\n",
        "      <td>                             Niacin</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.180</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25 </th>\n",
        "      <td>                   Pantothenic acid</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.190</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>26 </th>\n",
        "      <td>                        Vitamin B-6</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.074</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>27 </th>\n",
        "      <td>                      Folate, total</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>   18.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>28 </th>\n",
        "      <td>                       Vitamin B-12</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>    0.270</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>29 </th>\n",
        "      <td>                         Folic acid</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>    0.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30 </th>\n",
        "      <td>                       Folate, food</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>   18.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>31 </th>\n",
        "      <td>                        Folate, DFE</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td> mcg_DFE</td>\n",
        "      <td>   18.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>32 </th>\n",
        "      <td>                        Cholesterol</td>\n",
        "      <td>       Other</td>\n",
        "      <td>      mg</td>\n",
        "      <td>   93.000</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>33 </th>\n",
        "      <td>       Fatty acids, total saturated</td>\n",
        "      <td>       Other</td>\n",
        "      <td>       g</td>\n",
        "      <td>   18.584</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>34 </th>\n",
        "      <td> Fatty acids, total monounsaturated</td>\n",
        "      <td>       Other</td>\n",
        "      <td>       g</td>\n",
        "      <td>    8.275</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>35 </th>\n",
        "      <td> Fatty acids, total polyunsaturated</td>\n",
        "      <td>       Other</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.830</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>36 </th>\n",
        "      <td>                         Tryptophan</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.324</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>37 </th>\n",
        "      <td>                          Threonine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.896</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>38 </th>\n",
        "      <td>                         Isoleucine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.563</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>39 </th>\n",
        "      <td>                            Leucine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    2.412</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>40 </th>\n",
        "      <td>                             Lysine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    2.095</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>41 </th>\n",
        "      <td>                         Methionine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.659</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>42 </th>\n",
        "      <td>                            Cystine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.126</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>43 </th>\n",
        "      <td>                      Phenylalanine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.326</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>44 </th>\n",
        "      <td>                           Tyrosine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.216</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>45 </th>\n",
        "      <td>                             Valine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.682</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>46 </th>\n",
        "      <td>                           Arginine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.952</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>47 </th>\n",
        "      <td>                          Histidine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.884</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>48 </th>\n",
        "      <td>                            Alanine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.711</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>49 </th>\n",
        "      <td>                      Aspartic acid</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.618</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50 </th>\n",
        "      <td>                      Glutamic acid</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    6.160</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>51 </th>\n",
        "      <td>                            Glycine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.439</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>52 </th>\n",
        "      <td>                            Proline</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    2.838</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>53 </th>\n",
        "      <td>                             Serine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.472</td>\n",
        "      <td> 1008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>162</th>\n",
        "      <td>                            Protein</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   24.900</td>\n",
        "      <td> 1009</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>163</th>\n",
        "      <td>                  Total lipid (fat)</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   33.140</td>\n",
        "      <td> 1009</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>164</th>\n",
        "      <td>        Carbohydrate, by difference</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.280</td>\n",
        "      <td> 1009</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>165</th>\n",
        "      <td>                                Ash</td>\n",
        "      <td>       Other</td>\n",
        "      <td>       g</td>\n",
        "      <td>    3.930</td>\n",
        "      <td> 1009</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>166</th>\n",
        "      <td>                             Energy</td>\n",
        "      <td>      Energy</td>\n",
        "      <td>    kcal</td>\n",
        "      <td>  403.000</td>\n",
        "      <td> 1009</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>167</th>\n",
        "      <td>                            Sucrose</td>\n",
        "      <td>      Sugars</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.240</td>\n",
        "      <td> 1009</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",
        "  </tbody>\n",
        "</table>\n",
        "<p>375176 rows \u00d7 5 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 56,
       "text": [
        "                               nutrient     nutgroup    units     value    id\n",
        "0                               Protein  Composition        g    25.180  1008\n",
        "1                     Total lipid (fat)  Composition        g    29.200  1008\n",
        "2           Carbohydrate, by difference  Composition        g     3.060  1008\n",
        "3                                   Ash        Other        g     3.280  1008\n",
        "4                                Energy       Energy     kcal   376.000  1008\n",
        "5                                 Water  Composition        g    39.280  1008\n",
        "6                                Energy       Energy       kJ  1573.000  1008\n",
        "7                  Fiber, total dietary  Composition        g     0.000  1008\n",
        "8                           Calcium, Ca     Elements       mg   673.000  1008\n",
        "9                              Iron, Fe     Elements       mg     0.640  1008\n",
        "10                        Magnesium, Mg     Elements       mg    22.000  1008\n",
        "11                        Phosphorus, P     Elements       mg   490.000  1008\n",
        "12                         Potassium, K     Elements       mg    93.000  1008\n",
        "13                           Sodium, Na     Elements       mg   690.000  1008\n",
        "14                             Zinc, Zn     Elements       mg     2.940  1008\n",
        "15                           Copper, Cu     Elements       mg     0.024  1008\n",
        "16                        Manganese, Mn     Elements       mg     0.021  1008\n",
        "17                         Selenium, Se     Elements      mcg    14.500  1008\n",
        "18                        Vitamin A, IU     Vitamins       IU  1054.000  1008\n",
        "19                              Retinol     Vitamins      mcg   262.000  1008\n",
        "20                       Vitamin A, RAE     Vitamins  mcg_RAE   271.000  1008\n",
        "21       Vitamin C, total ascorbic acid     Vitamins       mg     0.000  1008\n",
        "22                              Thiamin     Vitamins       mg     0.031  1008\n",
        "23                           Riboflavin     Vitamins       mg     0.450  1008\n",
        "24                               Niacin     Vitamins       mg     0.180  1008\n",
        "25                     Pantothenic acid     Vitamins       mg     0.190  1008\n",
        "26                          Vitamin B-6     Vitamins       mg     0.074  1008\n",
        "27                        Folate, total     Vitamins      mcg    18.000  1008\n",
        "28                         Vitamin B-12     Vitamins      mcg     0.270  1008\n",
        "29                           Folic acid     Vitamins      mcg     0.000  1008\n",
        "30                         Folate, food     Vitamins      mcg    18.000  1008\n",
        "31                          Folate, DFE     Vitamins  mcg_DFE    18.000  1008\n",
        "32                          Cholesterol        Other       mg    93.000  1008\n",
        "33         Fatty acids, total saturated        Other        g    18.584  1008\n",
        "34   Fatty acids, total monounsaturated        Other        g     8.275  1008\n",
        "35   Fatty acids, total polyunsaturated        Other        g     0.830  1008\n",
        "36                           Tryptophan  Amino Acids        g     0.324  1008\n",
        "37                            Threonine  Amino Acids        g     0.896  1008\n",
        "38                           Isoleucine  Amino Acids        g     1.563  1008\n",
        "39                              Leucine  Amino Acids        g     2.412  1008\n",
        "40                               Lysine  Amino Acids        g     2.095  1008\n",
        "41                           Methionine  Amino Acids        g     0.659  1008\n",
        "42                              Cystine  Amino Acids        g     0.126  1008\n",
        "43                        Phenylalanine  Amino Acids        g     1.326  1008\n",
        "44                             Tyrosine  Amino Acids        g     1.216  1008\n",
        "45                               Valine  Amino Acids        g     1.682  1008\n",
        "46                             Arginine  Amino Acids        g     0.952  1008\n",
        "47                            Histidine  Amino Acids        g     0.884  1008\n",
        "48                              Alanine  Amino Acids        g     0.711  1008\n",
        "49                        Aspartic acid  Amino Acids        g     1.618  1008\n",
        "50                        Glutamic acid  Amino Acids        g     6.160  1008\n",
        "51                              Glycine  Amino Acids        g     0.439  1008\n",
        "52                              Proline  Amino Acids        g     2.838  1008\n",
        "53                               Serine  Amino Acids        g     1.472  1008\n",
        "162                             Protein  Composition        g    24.900  1009\n",
        "163                   Total lipid (fat)  Composition        g    33.140  1009\n",
        "164         Carbohydrate, by difference  Composition        g     1.280  1009\n",
        "165                                 Ash        Other        g     3.930  1009\n",
        "166                              Energy       Energy     kcal   403.000  1009\n",
        "167                             Sucrose       Sugars        g     0.240  1009\n",
        "                                    ...          ...      ...       ...   ...\n",
        "\n",
        "[375176 rows x 5 columns]"
       ]
      }
     ],
     "prompt_number": 56
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ndata"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>food</th>\n",
        "      <th>fgroup</th>\n",
        "      <th>id</th>\n",
        "      <th>manufacturer</th>\n",
        "      <th>description</th>\n",
        "      <th>group</th>\n",
        "      <th>units</th>\n",
        "      <th>value</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0 </th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                            Protein</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   25.180</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1 </th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                  Total lipid (fat)</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   29.200</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2 </th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>        Carbohydrate, by difference</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>    3.060</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3 </th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                                Ash</td>\n",
        "      <td>       Other</td>\n",
        "      <td>       g</td>\n",
        "      <td>    3.280</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4 </th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                             Energy</td>\n",
        "      <td>      Energy</td>\n",
        "      <td>    kcal</td>\n",
        "      <td>  376.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 </th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                              Water</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   39.280</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6 </th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                             Energy</td>\n",
        "      <td>      Energy</td>\n",
        "      <td>      kJ</td>\n",
        "      <td> 1573.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7 </th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>               Fiber, total dietary</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8 </th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                        Calcium, Ca</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>  673.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9 </th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                           Iron, Fe</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.640</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                      Magnesium, Mg</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>   22.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                      Phosphorus, P</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>  490.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                       Potassium, K</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>   93.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                         Sodium, Na</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>  690.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                           Zinc, Zn</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    2.940</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                         Copper, Cu</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.024</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                      Manganese, Mn</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.021</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                       Selenium, Se</td>\n",
        "      <td>    Elements</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>   14.500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                      Vitamin A, IU</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      IU</td>\n",
        "      <td> 1054.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                            Retinol</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>  262.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>20</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                     Vitamin A, RAE</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td> mcg_RAE</td>\n",
        "      <td>  271.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>21</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>     Vitamin C, total ascorbic acid</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>22</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                            Thiamin</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.031</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>23</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                         Riboflavin</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.450</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                             Niacin</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.180</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                   Pantothenic acid</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.190</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>26</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                        Vitamin B-6</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>      mg</td>\n",
        "      <td>    0.074</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>27</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                      Folate, total</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>   18.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>28</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                       Vitamin B-12</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>    0.270</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>29</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                         Folic acid</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>    0.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                       Folate, food</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td>     mcg</td>\n",
        "      <td>   18.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>31</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                        Folate, DFE</td>\n",
        "      <td>    Vitamins</td>\n",
        "      <td> mcg_DFE</td>\n",
        "      <td>   18.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>32</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                        Cholesterol</td>\n",
        "      <td>       Other</td>\n",
        "      <td>      mg</td>\n",
        "      <td>   93.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>33</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>       Fatty acids, total saturated</td>\n",
        "      <td>       Other</td>\n",
        "      <td>       g</td>\n",
        "      <td>   18.584</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>34</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td> Fatty acids, total monounsaturated</td>\n",
        "      <td>       Other</td>\n",
        "      <td>       g</td>\n",
        "      <td>    8.275</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>35</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td> Fatty acids, total polyunsaturated</td>\n",
        "      <td>       Other</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.830</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>36</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                         Tryptophan</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.324</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>37</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                          Threonine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.896</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>38</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                         Isoleucine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.563</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>39</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                            Leucine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    2.412</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>40</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                             Lysine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    2.095</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>41</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                         Methionine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.659</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>42</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                            Cystine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.126</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>43</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                      Phenylalanine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.326</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>44</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                           Tyrosine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.216</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>45</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                             Valine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.682</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>46</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                           Arginine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.952</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>47</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                          Histidine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.884</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>48</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                            Alanine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.711</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>49</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                      Aspartic acid</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.618</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                      Glutamic acid</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    6.160</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>51</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                            Glycine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.439</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>52</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                            Proline</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    2.838</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>53</th>\n",
        "      <td> Cheese, caraway</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1008</td>\n",
        "      <td> </td>\n",
        "      <td>                             Serine</td>\n",
        "      <td> Amino Acids</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.472</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>54</th>\n",
        "      <td> Cheese, cheddar</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1009</td>\n",
        "      <td> </td>\n",
        "      <td>                            Protein</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   24.900</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>55</th>\n",
        "      <td> Cheese, cheddar</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1009</td>\n",
        "      <td> </td>\n",
        "      <td>                  Total lipid (fat)</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>   33.140</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>56</th>\n",
        "      <td> Cheese, cheddar</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1009</td>\n",
        "      <td> </td>\n",
        "      <td>        Carbohydrate, by difference</td>\n",
        "      <td> Composition</td>\n",
        "      <td>       g</td>\n",
        "      <td>    1.280</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>57</th>\n",
        "      <td> Cheese, cheddar</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1009</td>\n",
        "      <td> </td>\n",
        "      <td>                                Ash</td>\n",
        "      <td>       Other</td>\n",
        "      <td>       g</td>\n",
        "      <td>    3.930</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>58</th>\n",
        "      <td> Cheese, cheddar</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1009</td>\n",
        "      <td> </td>\n",
        "      <td>                             Energy</td>\n",
        "      <td>      Energy</td>\n",
        "      <td>    kcal</td>\n",
        "      <td>  403.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>59</th>\n",
        "      <td> Cheese, cheddar</td>\n",
        "      <td> Dairy and Egg Products</td>\n",
        "      <td> 1009</td>\n",
        "      <td> </td>\n",
        "      <td>                            Sucrose</td>\n",
        "      <td>      Sugars</td>\n",
        "      <td>       g</td>\n",
        "      <td>    0.240</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",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>375176 rows \u00d7 8 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 53,
       "text": [
        "               food                  fgroup    id manufacturer  \\\n",
        "0   Cheese, caraway  Dairy and Egg Products  1008                \n",
        "1   Cheese, caraway  Dairy and Egg Products  1008                \n",
        "2   Cheese, caraway  Dairy and Egg Products  1008                \n",
        "3   Cheese, caraway  Dairy and Egg Products  1008                \n",
        "4   Cheese, caraway  Dairy and Egg Products  1008                \n",
        "5   Cheese, caraway  Dairy and Egg Products  1008                \n",
        "6   Cheese, caraway  Dairy and Egg Products  1008                \n",
        "7   Cheese, caraway  Dairy and Egg Products  1008                \n",
        "8   Cheese, caraway  Dairy and Egg Products  1008                \n",
        "9   Cheese, caraway  Dairy and Egg Products  1008                \n",
        "10  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "11  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "12  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "13  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "14  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "15  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "16  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "17  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "18  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "19  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "20  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "21  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "22  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "23  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "24  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "25  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "26  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "27  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "28  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "29  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "30  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "31  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "32  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "33  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "34  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "35  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "36  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "37  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "38  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "39  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "40  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "41  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "42  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "43  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "44  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "45  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "46  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "47  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "48  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "49  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "50  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "51  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "52  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "53  Cheese, caraway  Dairy and Egg Products  1008                \n",
        "54  Cheese, cheddar  Dairy and Egg Products  1009                \n",
        "55  Cheese, cheddar  Dairy and Egg Products  1009                \n",
        "56  Cheese, cheddar  Dairy and Egg Products  1009                \n",
        "57  Cheese, cheddar  Dairy and Egg Products  1009                \n",
        "58  Cheese, cheddar  Dairy and Egg Products  1009                \n",
        "59  Cheese, cheddar  Dairy and Egg Products  1009                \n",
        "                ...                     ...   ...          ...   \n",
        "\n",
        "                           description        group    units     value  \n",
        "0                              Protein  Composition        g    25.180  \n",
        "1                    Total lipid (fat)  Composition        g    29.200  \n",
        "2          Carbohydrate, by difference  Composition        g     3.060  \n",
        "3                                  Ash        Other        g     3.280  \n",
        "4                               Energy       Energy     kcal   376.000  \n",
        "5                                Water  Composition        g    39.280  \n",
        "6                               Energy       Energy       kJ  1573.000  \n",
        "7                 Fiber, total dietary  Composition        g     0.000  \n",
        "8                          Calcium, Ca     Elements       mg   673.000  \n",
        "9                             Iron, Fe     Elements       mg     0.640  \n",
        "10                       Magnesium, Mg     Elements       mg    22.000  \n",
        "11                       Phosphorus, P     Elements       mg   490.000  \n",
        "12                        Potassium, K     Elements       mg    93.000  \n",
        "13                          Sodium, Na     Elements       mg   690.000  \n",
        "14                            Zinc, Zn     Elements       mg     2.940  \n",
        "15                          Copper, Cu     Elements       mg     0.024  \n",
        "16                       Manganese, Mn     Elements       mg     0.021  \n",
        "17                        Selenium, Se     Elements      mcg    14.500  \n",
        "18                       Vitamin A, IU     Vitamins       IU  1054.000  \n",
        "19                             Retinol     Vitamins      mcg   262.000  \n",
        "20                      Vitamin A, RAE     Vitamins  mcg_RAE   271.000  \n",
        "21      Vitamin C, total ascorbic acid     Vitamins       mg     0.000  \n",
        "22                             Thiamin     Vitamins       mg     0.031  \n",
        "23                          Riboflavin     Vitamins       mg     0.450  \n",
        "24                              Niacin     Vitamins       mg     0.180  \n",
        "25                    Pantothenic acid     Vitamins       mg     0.190  \n",
        "26                         Vitamin B-6     Vitamins       mg     0.074  \n",
        "27                       Folate, total     Vitamins      mcg    18.000  \n",
        "28                        Vitamin B-12     Vitamins      mcg     0.270  \n",
        "29                          Folic acid     Vitamins      mcg     0.000  \n",
        "30                        Folate, food     Vitamins      mcg    18.000  \n",
        "31                         Folate, DFE     Vitamins  mcg_DFE    18.000  \n",
        "32                         Cholesterol        Other       mg    93.000  \n",
        "33        Fatty acids, total saturated        Other        g    18.584  \n",
        "34  Fatty acids, total monounsaturated        Other        g     8.275  \n",
        "35  Fatty acids, total polyunsaturated        Other        g     0.830  \n",
        "36                          Tryptophan  Amino Acids        g     0.324  \n",
        "37                           Threonine  Amino Acids        g     0.896  \n",
        "38                          Isoleucine  Amino Acids        g     1.563  \n",
        "39                             Leucine  Amino Acids        g     2.412  \n",
        "40                              Lysine  Amino Acids        g     2.095  \n",
        "41                          Methionine  Amino Acids        g     0.659  \n",
        "42                             Cystine  Amino Acids        g     0.126  \n",
        "43                       Phenylalanine  Amino Acids        g     1.326  \n",
        "44                            Tyrosine  Amino Acids        g     1.216  \n",
        "45                              Valine  Amino Acids        g     1.682  \n",
        "46                            Arginine  Amino Acids        g     0.952  \n",
        "47                           Histidine  Amino Acids        g     0.884  \n",
        "48                             Alanine  Amino Acids        g     0.711  \n",
        "49                       Aspartic acid  Amino Acids        g     1.618  \n",
        "50                       Glutamic acid  Amino Acids        g     6.160  \n",
        "51                             Glycine  Amino Acids        g     0.439  \n",
        "52                             Proline  Amino Acids        g     2.838  \n",
        "53                              Serine  Amino Acids        g     1.472  \n",
        "54                             Protein  Composition        g    24.900  \n",
        "55                   Total lipid (fat)  Composition        g    33.140  \n",
        "56         Carbohydrate, by difference  Composition        g     1.280  \n",
        "57                                 Ash        Other        g     3.930  \n",
        "58                              Energy       Energy     kcal   403.000  \n",
        "59                             Sucrose       Sugars        g     0.240  \n",
        "                                   ...          ...      ...       ...  \n",
        "\n",
        "[375176 rows x 8 columns]"
       ]
      }
     ],
     "prompt_number": 53
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ndata = pd.merge(info, nutrients,on='id',how='outer')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 57
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ndata = ndata.reindex(columns=['id','food','fgroup','manufacturer','nutrient','nutgroup','units','value'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 59
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ndata.ix[30000]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 60,
       "text": [
        "id                                                6158\n",
        "food            Soup, tomato bisque, canned, condensed\n",
        "fgroup                      Soups, Sauces, and Gravies\n",
        "manufacturer                                          \n",
        "nutrient                                       Glycine\n",
        "nutgroup                                   Amino Acids\n",
        "units                                                g\n",
        "value                                             0.04\n",
        "Name: 30000, dtype: object"
       ]
      }
     ],
     "prompt_number": 60
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "results = ndata.groupby(['nutrient', 'fgroup'])['value'].quantile(0.5)\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 65
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "results['Zinc, Zn'].order().plot(kind='barh')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 66,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x2359d750>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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JIkLHjh25fWG0XVuxrGL53LlzMWfOHIhEIjRt2hQhISEwNDSs1s9169ZhxIgRMDU1hbW1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\n/wFTeGvpk+gxoAAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1aed48d0>"
       ]
      }
     ],
     "prompt_number": 66
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "by_nutrient = ndata.groupby(['nutgroup', 'nutrient'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 67
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "get_maximum = lambda x: x.xs(x.value.idxmax())\n",
      "get_minimum = lambda x: x.xs(x.value.idxmin())\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 68
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "max_foods = by_nutrient.apply(get_maximum)[['value', 'food']]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 71
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pd.Da"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Object `pd.DataFrame.value` not found.\n"
       ]
      }
     ],
     "prompt_number": 77
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pd.DataFrame.xs("
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th>value</th>\n",
        "      <th>food</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>nutgroup</th>\n",
        "      <th>nutrient</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th rowspan=\"19\" valign=\"top\">Amino Acids</th>\n",
        "      <th>Alanine</th>\n",
        "      <td>     8.009</td>\n",
        "      <td>                 Gelatins, dry powder, unsweetened</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Arginine</th>\n",
        "      <td>     7.436</td>\n",
        "      <td>                      Seeds, sesame flour, low-fat</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Aspartic acid</th>\n",
        "      <td>    10.203</td>\n",
        "      <td>                               Soy protein isolate</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Cystine</th>\n",
        "      <td>     1.307</td>\n",
        "      <td>      Seeds, cottonseed flour, low fat (glandless)</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Glutamic acid</th>\n",
        "      <td>    17.452</td>\n",
        "      <td>                               Soy protein isolate</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Glycine</th>\n",
        "      <td>    19.049</td>\n",
        "      <td>                 Gelatins, dry powder, unsweetened</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Histidine</th>\n",
        "      <td>     2.999</td>\n",
        "      <td>        Whale, beluga, meat, dried (Alaska Native)</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Hydroxyproline</th>\n",
        "      <td>     0.803</td>\n",
        "      <td> KENTUCKY FRIED CHICKEN, Fried Chicken, ORIGINA...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Isoleucine</th>\n",
        "      <td>     4.300</td>\n",
        "      <td> Soy protein isolate, PROTEIN TECHNOLOGIES INTE...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Leucine</th>\n",
        "      <td>     7.200</td>\n",
        "      <td> Soy protein isolate, PROTEIN TECHNOLOGIES INTE...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Lysine</th>\n",
        "      <td>     6.690</td>\n",
        "      <td> Seal, bearded (Oogruk), meat, dried (Alaska Na...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Methionine</th>\n",
        "      <td>     1.859</td>\n",
        "      <td>             Fish, cod, Atlantic, dried and salted</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Phenylalanine</th>\n",
        "      <td>     4.600</td>\n",
        "      <td> Soy protein isolate, PROTEIN TECHNOLOGIES INTE...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Proline</th>\n",
        "      <td>    12.295</td>\n",
        "      <td>                 Gelatins, dry powder, unsweetened</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Serine</th>\n",
        "      <td>     4.600</td>\n",
        "      <td> Soy protein isolate, PROTEIN TECHNOLOGIES INTE...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Threonine</th>\n",
        "      <td>     3.300</td>\n",
        "      <td> Soy protein isolate, PROTEIN TECHNOLOGIES INTE...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Tryptophan</th>\n",
        "      <td>     1.600</td>\n",
        "      <td>  Sea lion, Steller, meat with fat (Alaska Native)</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Tyrosine</th>\n",
        "      <td>     3.300</td>\n",
        "      <td> Soy protein isolate, PROTEIN TECHNOLOGIES INTE...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Valine</th>\n",
        "      <td>     4.500</td>\n",
        "      <td> Soy protein isolate, PROTEIN TECHNOLOGIES INTE...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">Composition</th>\n",
        "      <th>Adjusted Protein</th>\n",
        "      <td>    12.900</td>\n",
        "      <td>            Baking chocolate, unsweetened, squares</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Carbohydrate, by difference</th>\n",
        "      <td>   100.000</td>\n",
        "      <td>       Sweeteners, tabletop, fructose, dry, powder</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Fiber, total dietary</th>\n",
        "      <td>    79.000</td>\n",
        "      <td>                                  Corn bran, crude</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Protein</th>\n",
        "      <td>    88.320</td>\n",
        "      <td> Soy protein isolate, potassium type, crude pro...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Sugars, total</th>\n",
        "      <td>    99.800</td>\n",
        "      <td>                                Sugars, granulated</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total lipid (fat)</th>\n",
        "      <td>   100.000</td>\n",
        "      <td>                                   Oil, wheat germ</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Water</th>\n",
        "      <td>   100.000</td>\n",
        "      <td>                     Water, bottled, POLAND SPRING</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"11\" valign=\"top\">Elements</th>\n",
        "      <th>Calcium, Ca</th>\n",
        "      <td>  7364.000</td>\n",
        "      <td> Leavening agents, baking powder, double-acting...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Copper, Cu</th>\n",
        "      <td>    15.050</td>\n",
        "      <td> Veal, variety meats and by-products, liver, co...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Fluoride, F</th>\n",
        "      <td>   584.000</td>\n",
        "      <td> Tea, instant, sweetened with sugar, lemon-flav...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Iron, Fe</th>\n",
        "      <td>    87.470</td>\n",
        "      <td>     Salad dressing, russian dressing, low calorie</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Magnesium, Mg</th>\n",
        "      <td>   781.000</td>\n",
        "      <td>                                  Rice bran, crude</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Manganese, Mn</th>\n",
        "      <td>   133.000</td>\n",
        "      <td>  Tea, instant, unsweetened, powder, decaffeinated</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Phosphorus, P</th>\n",
        "      <td>  9918.000</td>\n",
        "      <td> Leavening agents, baking powder, double-acting...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Potassium, K</th>\n",
        "      <td> 16500.000</td>\n",
        "      <td>                 Leavening agents, cream of tartar</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Selenium, Se</th>\n",
        "      <td>  1917.000</td>\n",
        "      <td>               Nuts, brazilnuts, dried, unblanched</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Sodium, Na</th>\n",
        "      <td> 27360.000</td>\n",
        "      <td>                     Leavening agents, baking soda</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Zinc, Zn</th>\n",
        "      <td>    90.950</td>\n",
        "      <td>                 Mollusks, oyster, eastern, canned</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Energy</th>\n",
        "      <th>Energy</th>\n",
        "      <td>  3774.000</td>\n",
        "      <td>                               Fish oil, cod liver</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"15\" valign=\"top\">Other</th>\n",
        "      <th>Alcohol, ethyl</th>\n",
        "      <td>    42.500</td>\n",
        "      <td> Alcoholic beverage, distilled, all (gin, rum, ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Ash</th>\n",
        "      <td>    72.500</td>\n",
        "      <td>            Desserts, rennin, tablets, unsweetened</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Beta-sitosterol</th>\n",
        "      <td>   426.000</td>\n",
        "      <td> Oil, vegetable, Natreon canola, high stability...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Caffeine</th>\n",
        "      <td>  3680.000</td>\n",
        "      <td>                 Tea, instant, unsweetened, powder</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Campesterol</th>\n",
        "      <td>   241.000</td>\n",
        "      <td>                                       Oil, canola</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Cholesterol</th>\n",
        "      <td>  3100.000</td>\n",
        "      <td> Beef, variety meats and by-products, brain, co...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Fatty acids, total monounsaturated</th>\n",
        "      <td>    83.689</td>\n",
        "      <td>         Oil, sunflower, high oleic (70% and over)</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Fatty acids, total polyunsaturated</th>\n",
        "      <td>    66.000</td>\n",
        "      <td>                                     Oil, flaxseed</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Fatty acids, total saturated</th>\n",
        "      <td>    95.600</td>\n",
        "      <td>            Fish oil, menhaden, fully hydrogenated</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Fatty acids, total trans</th>\n",
        "      <td>    20.578</td>\n",
        "      <td> Margarine, industrial, soy and partially hydro...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Fatty acids, total trans-monoenoic</th>\n",
        "      <td>    18.970</td>\n",
        "      <td> Margarine, industrial, soy and partially hydro...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Fatty acids, total trans-polyenoic</th>\n",
        "      <td>     3.543</td>\n",
        "      <td> Oil, industrial, soy (partially hydrogenated),...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Phytosterols</th>\n",
        "      <td>  9060.000</td>\n",
        "      <td> Margarine-like, vegetable oil spread, approxim...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Stigmasterol</th>\n",
        "      <td>    38.000</td>\n",
        "      <td>            Baking chocolate, unsweetened, squares</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Theobromine</th>\n",
        "      <td>  2634.000</td>\n",
        "      <td> Cocoa, dry powder, unsweetened, processed with...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">Sugars</th>\n",
        "      <th>Fructose</th>\n",
        "      <td>    42.830</td>\n",
        "      <td>                          Agave, dried (Southwest)</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Galactose</th>\n",
        "      <td>     5.620</td>\n",
        "      <td> Formulated bar, SLIM-FAST OPTIMA meal bar, mil...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Glucose (dextrose)</th>\n",
        "      <td>    57.000</td>\n",
        "      <td> Infant formula, MEAD JOHNSON, ENFAMIL, LACTOFR...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Lactose</th>\n",
        "      <td>    56.000</td>\n",
        "      <td> Infant formula, MEAD JOHNSON, ENFAMIL, with ir...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Maltose</th>\n",
        "      <td>    10.430</td>\n",
        "      <td>     Cereals ready-to-eat, POST, GRAPE-NUTS Cereal</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Starch</th>\n",
        "      <td>    73.770</td>\n",
        "      <td> Rice, white, long-grain, precooked or instant,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Sucrose</th>\n",
        "      <td>    99.800</td>\n",
        "      <td>                                Sugars, granulated</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td></td>\n",
        "      <td></td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>94 rows \u00d7 2 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 72,
       "text": [
        "                                                    value  \\\n",
        "nutgroup    nutrient                                        \n",
        "Amino Acids Alanine                                 8.009   \n",
        "            Arginine                                7.436   \n",
        "            Aspartic acid                          10.203   \n",
        "            Cystine                                 1.307   \n",
        "            Glutamic acid                          17.452   \n",
        "            Glycine                                19.049   \n",
        "            Histidine                               2.999   \n",
        "            Hydroxyproline                          0.803   \n",
        "            Isoleucine                              4.300   \n",
        "            Leucine                                 7.200   \n",
        "            Lysine                                  6.690   \n",
        "            Methionine                              1.859   \n",
        "            Phenylalanine                           4.600   \n",
        "            Proline                                12.295   \n",
        "            Serine                                  4.600   \n",
        "            Threonine                               3.300   \n",
        "            Tryptophan                              1.600   \n",
        "            Tyrosine                                3.300   \n",
        "            Valine                                  4.500   \n",
        "Composition Adjusted Protein                       12.900   \n",
        "            Carbohydrate, by difference           100.000   \n",
        "            Fiber, total dietary                   79.000   \n",
        "            Protein                                88.320   \n",
        "            Sugars, total                          99.800   \n",
        "            Total lipid (fat)                     100.000   \n",
        "            Water                                 100.000   \n",
        "Elements    Calcium, Ca                          7364.000   \n",
        "            Copper, Cu                             15.050   \n",
        "            Fluoride, F                           584.000   \n",
        "            Iron, Fe                               87.470   \n",
        "            Magnesium, Mg                         781.000   \n",
        "            Manganese, Mn                         133.000   \n",
        "            Phosphorus, P                        9918.000   \n",
        "            Potassium, K                        16500.000   \n",
        "            Selenium, Se                         1917.000   \n",
        "            Sodium, Na                          27360.000   \n",
        "            Zinc, Zn                               90.950   \n",
        "Energy      Energy                               3774.000   \n",
        "Other       Alcohol, ethyl                         42.500   \n",
        "            Ash                                    72.500   \n",
        "            Beta-sitosterol                       426.000   \n",
        "            Caffeine                             3680.000   \n",
        "            Campesterol                           241.000   \n",
        "            Cholesterol                          3100.000   \n",
        "            Fatty acids, total monounsaturated     83.689   \n",
        "            Fatty acids, total polyunsaturated     66.000   \n",
        "            Fatty acids, total saturated           95.600   \n",
        "            Fatty acids, total trans               20.578   \n",
        "            Fatty acids, total trans-monoenoic     18.970   \n",
        "            Fatty acids, total trans-polyenoic      3.543   \n",
        "            Phytosterols                         9060.000   \n",
        "            Stigmasterol                           38.000   \n",
        "            Theobromine                          2634.000   \n",
        "Sugars      Fructose                               42.830   \n",
        "            Galactose                               5.620   \n",
        "            Glucose (dextrose)                     57.000   \n",
        "            Lactose                                56.000   \n",
        "            Maltose                                10.430   \n",
        "            Starch                                 73.770   \n",
        "            Sucrose                                99.800   \n",
        "                                                      ...   \n",
        "\n",
        "                                                                                             food  \n",
        "nutgroup    nutrient                                                                               \n",
        "Amino Acids Alanine                                             Gelatins, dry powder, unsweetened  \n",
        "            Arginine                                                 Seeds, sesame flour, low-fat  \n",
        "            Aspartic acid                                                     Soy protein isolate  \n",
        "            Cystine                                  Seeds, cottonseed flour, low fat (glandless)  \n",
        "            Glutamic acid                                                     Soy protein isolate  \n",
        "            Glycine                                             Gelatins, dry powder, unsweetened  \n",
        "            Histidine                                  Whale, beluga, meat, dried (Alaska Native)  \n",
        "            Hydroxyproline                      KENTUCKY FRIED CHICKEN, Fried Chicken, ORIGINA...  \n",
        "            Isoleucine                          Soy protein isolate, PROTEIN TECHNOLOGIES INTE...  \n",
        "            Leucine                             Soy protein isolate, PROTEIN TECHNOLOGIES INTE...  \n",
        "            Lysine                              Seal, bearded (Oogruk), meat, dried (Alaska Na...  \n",
        "            Methionine                                      Fish, cod, Atlantic, dried and salted  \n",
        "            Phenylalanine                       Soy protein isolate, PROTEIN TECHNOLOGIES INTE...  \n",
        "            Proline                                             Gelatins, dry powder, unsweetened  \n",
        "            Serine                              Soy protein isolate, PROTEIN TECHNOLOGIES INTE...  \n",
        "            Threonine                           Soy protein isolate, PROTEIN TECHNOLOGIES INTE...  \n",
        "            Tryptophan                           Sea lion, Steller, meat with fat (Alaska Native)  \n",
        "            Tyrosine                            Soy protein isolate, PROTEIN TECHNOLOGIES INTE...  \n",
        "            Valine                              Soy protein isolate, PROTEIN TECHNOLOGIES INTE...  \n",
        "Composition Adjusted Protein                               Baking chocolate, unsweetened, squares  \n",
        "            Carbohydrate, by difference               Sweeteners, tabletop, fructose, dry, powder  \n",
        "            Fiber, total dietary                                                 Corn bran, crude  \n",
        "            Protein                             Soy protein isolate, potassium type, crude pro...  \n",
        "            Sugars, total                                                      Sugars, granulated  \n",
        "            Total lipid (fat)                                                     Oil, wheat germ  \n",
        "            Water                                                   Water, bottled, POLAND SPRING  \n",
        "Elements    Calcium, Ca                         Leavening agents, baking powder, double-acting...  \n",
        "            Copper, Cu                          Veal, variety meats and by-products, liver, co...  \n",
        "            Fluoride, F                         Tea, instant, sweetened with sugar, lemon-flav...  \n",
        "            Iron, Fe                                Salad dressing, russian dressing, low calorie  \n",
        "            Magnesium, Mg                                                        Rice bran, crude  \n",
        "            Manganese, Mn                        Tea, instant, unsweetened, powder, decaffeinated  \n",
        "            Phosphorus, P                       Leavening agents, baking powder, double-acting...  \n",
        "            Potassium, K                                        Leavening agents, cream of tartar  \n",
        "            Selenium, Se                                      Nuts, brazilnuts, dried, unblanched  \n",
        "            Sodium, Na                                              Leavening agents, baking soda  \n",
        "            Zinc, Zn                                            Mollusks, oyster, eastern, canned  \n",
        "Energy      Energy                                                            Fish oil, cod liver  \n",
        "Other       Alcohol, ethyl                      Alcoholic beverage, distilled, all (gin, rum, ...  \n",
        "            Ash                                            Desserts, rennin, tablets, unsweetened  \n",
        "            Beta-sitosterol                     Oil, vegetable, Natreon canola, high stability...  \n",
        "            Caffeine                                            Tea, instant, unsweetened, powder  \n",
        "            Campesterol                                                               Oil, canola  \n",
        "            Cholesterol                         Beef, variety meats and by-products, brain, co...  \n",
        "            Fatty acids, total monounsaturated          Oil, sunflower, high oleic (70% and over)  \n",
        "            Fatty acids, total polyunsaturated                                      Oil, flaxseed  \n",
        "            Fatty acids, total saturated                   Fish oil, menhaden, fully hydrogenated  \n",
        "            Fatty acids, total trans            Margarine, industrial, soy and partially hydro...  \n",
        "            Fatty acids, total trans-monoenoic  Margarine, industrial, soy and partially hydro...  \n",
        "            Fatty acids, total trans-polyenoic  Oil, industrial, soy (partially hydrogenated),...  \n",
        "            Phytosterols                        Margarine-like, vegetable oil spread, approxim...  \n",
        "            Stigmasterol                                   Baking chocolate, unsweetened, squares  \n",
        "            Theobromine                         Cocoa, dry powder, unsweetened, processed with...  \n",
        "Sugars      Fructose                                                     Agave, dried (Southwest)  \n",
        "            Galactose                           Formulated bar, SLIM-FAST OPTIMA meal bar, mil...  \n",
        "            Glucose (dextrose)                  Infant formula, MEAD JOHNSON, ENFAMIL, LACTOFR...  \n",
        "            Lactose                             Infant formula, MEAD JOHNSON, ENFAMIL, with ir...  \n",
        "            Maltose                                 Cereals ready-to-eat, POST, GRAPE-NUTS Cereal  \n",
        "            Starch                              Rice, white, long-grain, precooked or instant,...  \n",
        "            Sucrose                                                            Sugars, granulated  \n",
        "                                                                                              ...  \n",
        "\n",
        "[94 rows x 2 columns]"
       ]
      }
     ],
     "prompt_number": 72
    }
   ],
   "metadata": {}
  }
 ]
}