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"cells": [
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"csv_pd = pd.read_csv('train.csv').to_parquet('data\\\\food.parquet')"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
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"<div>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Category</th>\n",
" <th>Description</th>\n",
" <th>Nutrient Data Bank Number</th>\n",
" <th>Data.Alpha Carotene</th>\n",
" <th>Data.Beta Carotene</th>\n",
" <th>Data.Beta Cryptoxanthin</th>\n",
" <th>Data.Carbohydrate</th>\n",
" <th>Data.Cholesterol</th>\n",
" <th>Data.Choline</th>\n",
" <th>Data.Fiber</th>\n",
" <th>...</th>\n",
" <th>Data.Major Minerals.Phosphorus</th>\n",
" <th>Data.Major Minerals.Potassium</th>\n",
" <th>Data.Major Minerals.Sodium</th>\n",
" <th>Data.Major Minerals.Zinc</th>\n",
" <th>Data.Vitamins.Vitamin A - RAE</th>\n",
" <th>Data.Vitamins.Vitamin B12</th>\n",
" <th>Data.Vitamins.Vitamin B6</th>\n",
" <th>Data.Vitamins.Vitamin C</th>\n",
" <th>Data.Vitamins.Vitamin E</th>\n",
" <th>Data.Vitamins.Vitamin K</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Milk</td>\n",
" <td>Milk, human</td>\n",
" <td>11000000</td>\n",
" <td>0</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>6.89</td>\n",
" <td>14</td>\n",
" <td>16.0</td>\n",
" <td>0.0</td>\n",
" <td>...</td>\n",
" <td>14</td>\n",
" <td>51</td>\n",
" <td>17</td>\n",
" <td>0.17</td>\n",
" <td>61</td>\n",
" <td>0.05</td>\n",
" <td>0.011</td>\n",
" <td>5.0</td>\n",
" <td>0.08</td>\n",
" <td>0.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Milk</td>\n",
" <td>Milk, NFS</td>\n",
" <td>11100000</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>4.87</td>\n",
" <td>8</td>\n",
" <td>17.9</td>\n",
" <td>0.0</td>\n",
" <td>...</td>\n",
" <td>103</td>\n",
" <td>157</td>\n",
" <td>39</td>\n",
" <td>0.42</td>\n",
" <td>59</td>\n",
" <td>0.56</td>\n",
" <td>0.060</td>\n",
" <td>0.1</td>\n",
" <td>0.03</td>\n",
" <td>0.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Milk</td>\n",
" <td>Milk, whole</td>\n",
" <td>11111000</td>\n",
" <td>0</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>4.67</td>\n",
" <td>12</td>\n",
" <td>17.8</td>\n",
" <td>0.0</td>\n",
" <td>...</td>\n",
" <td>101</td>\n",
" <td>150</td>\n",
" <td>38</td>\n",
" <td>0.41</td>\n",
" <td>32</td>\n",
" <td>0.54</td>\n",
" <td>0.061</td>\n",
" <td>0.0</td>\n",
" <td>0.05</td>\n",
" <td>0.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Milk</td>\n",
" <td>Milk, low sodium, whole</td>\n",
" <td>11111100</td>\n",
" <td>0</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>4.46</td>\n",
" <td>14</td>\n",
" <td>16.0</td>\n",
" <td>0.0</td>\n",
" <td>...</td>\n",
" <td>86</td>\n",
" <td>253</td>\n",
" <td>3</td>\n",
" <td>0.38</td>\n",
" <td>29</td>\n",
" <td>0.36</td>\n",
" <td>0.034</td>\n",
" <td>0.9</td>\n",
" <td>0.08</td>\n",
" <td>0.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Milk</td>\n",
" <td>Milk, calcium fortified, whole</td>\n",
" <td>11111150</td>\n",
" <td>0</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>4.67</td>\n",
" <td>12</td>\n",
" <td>17.8</td>\n",
" <td>0.0</td>\n",
" <td>...</td>\n",
" <td>101</td>\n",
" <td>150</td>\n",
" <td>38</td>\n",
" <td>0.41</td>\n",
" <td>32</td>\n",
" <td>0.54</td>\n",
" <td>0.061</td>\n",
" <td>0.0</td>\n",
" <td>0.05</td>\n",
" <td>0.3</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 38 columns</p>\n",
"</div>"
],
"text/plain": [
" Category Description Nutrient Data Bank Number \\\n",
"0 Milk Milk, human 11000000 \n",
"1 Milk Milk, NFS 11100000 \n",
"2 Milk Milk, whole 11111000 \n",
"3 Milk Milk, low sodium, whole 11111100 \n",
"4 Milk Milk, calcium fortified, whole 11111150 \n",
"\n",
" Data.Alpha Carotene Data.Beta Carotene Data.Beta Cryptoxanthin \\\n",
"0 0 7 0 \n",
"1 0 4 0 \n",
"2 0 7 0 \n",
"3 0 7 0 \n",
"4 0 7 0 \n",
"\n",
" Data.Carbohydrate Data.Cholesterol Data.Choline Data.Fiber ... \\\n",
"0 6.89 14 16.0 0.0 ... \n",
"1 4.87 8 17.9 0.0 ... \n",
"2 4.67 12 17.8 0.0 ... \n",
"3 4.46 14 16.0 0.0 ... \n",
"4 4.67 12 17.8 0.0 ... \n",
"\n",
" Data.Major Minerals.Phosphorus Data.Major Minerals.Potassium \\\n",
"0 14 51 \n",
"1 103 157 \n",
"2 101 150 \n",
"3 86 253 \n",
"4 101 150 \n",
"\n",
" Data.Major Minerals.Sodium Data.Major Minerals.Zinc \\\n",
"0 17 0.17 \n",
"1 39 0.42 \n",
"2 38 0.41 \n",
"3 3 0.38 \n",
"4 38 0.41 \n",
"\n",
" Data.Vitamins.Vitamin A - RAE Data.Vitamins.Vitamin B12 \\\n",
"0 61 0.05 \n",
"1 59 0.56 \n",
"2 32 0.54 \n",
"3 29 0.36 \n",
"4 32 0.54 \n",
"\n",
" Data.Vitamins.Vitamin B6 Data.Vitamins.Vitamin C Data.Vitamins.Vitamin E \\\n",
"0 0.011 5.0 0.08 \n",
"1 0.060 0.1 0.03 \n",
"2 0.061 0.0 0.05 \n",
"3 0.034 0.9 0.08 \n",
"4 0.061 0.0 0.05 \n",
"\n",
" Data.Vitamins.Vitamin K \n",
"0 0.3 \n",
"1 0.2 \n",
"2 0.3 \n",
"3 0.3 \n",
"4 0.3 \n",
"\n",
"[5 rows x 38 columns]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"parquet_pd = pd.read_parquet('data\\\\food.parquet')\n",
"parquet_pd.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
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