Apriori Python Lecture.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import the Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dataset = pd.read_csv('Market_Basket_Optimisation.csv', header = None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>shrimp</td>\n",
       "      <td>almonds</td>\n",
       "      <td>avocado</td>\n",
       "      <td>vegetables mix</td>\n",
       "      <td>green grapes</td>\n",
       "      <td>whole weat flour</td>\n",
       "      <td>yams</td>\n",
       "      <td>cottage cheese</td>\n",
       "      <td>energy drink</td>\n",
       "      <td>tomato juice</td>\n",
       "      <td>low fat yogurt</td>\n",
       "      <td>green tea</td>\n",
       "      <td>honey</td>\n",
       "      <td>salad</td>\n",
       "      <td>mineral water</td>\n",
       "      <td>salmon</td>\n",
       "      <td>antioxydant juice</td>\n",
       "      <td>frozen smoothie</td>\n",
       "      <td>spinach</td>\n",
       "      <td>olive oil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>meatballs</td>\n",
       "      <td>eggs</td>\n",
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       "    </tr>\n",
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       "      <th>2</th>\n",
       "      <td>chutney</td>\n",
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       "      <td>turkey</td>\n",
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       "      <td>NaN</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mineral water</td>\n",
       "      <td>milk</td>\n",
       "      <td>energy bar</td>\n",
       "      <td>whole wheat rice</td>\n",
       "      <td>green tea</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>low fat yogurt</td>\n",
       "      <td>NaN</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>whole wheat pasta</td>\n",
       "      <td>french fries</td>\n",
       "      <td>NaN</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>soup</td>\n",
       "      <td>light cream</td>\n",
       "      <td>shallot</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>frozen vegetables</td>\n",
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       "      <td>green tea</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>french fries</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>eggs</td>\n",
       "      <td>pet food</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>cookies</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>turkey</td>\n",
       "      <td>burgers</td>\n",
       "      <td>mineral water</td>\n",
       "      <td>eggs</td>\n",
       "      <td>cooking oil</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>spaghetti</td>\n",
       "      <td>champagne</td>\n",
       "      <td>cookies</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>mineral water</td>\n",
       "      <td>salmon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>mineral water</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>shrimp</td>\n",
       "      <td>chocolate</td>\n",
       "      <td>chicken</td>\n",
       "      <td>honey</td>\n",
       "      <td>oil</td>\n",
       "      <td>cooking oil</td>\n",
       "      <td>low fat yogurt</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>turkey</td>\n",
       "      <td>eggs</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>turkey</td>\n",
       "      <td>fresh tuna</td>\n",
       "      <td>tomatoes</td>\n",
       "      <td>spaghetti</td>\n",
       "      <td>mineral water</td>\n",
       "      <td>black tea</td>\n",
       "      <td>salmon</td>\n",
       "      <td>eggs</td>\n",
       "      <td>chicken</td>\n",
       "      <td>extra dark chocolate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>meatballs</td>\n",
       "      <td>milk</td>\n",
       "      <td>honey</td>\n",
       "      <td>french fries</td>\n",
       "      <td>protein bar</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>red wine</td>\n",
       "      <td>shrimp</td>\n",
       "      <td>pasta</td>\n",
       "      <td>pepper</td>\n",
       "      <td>eggs</td>\n",
       "      <td>chocolate</td>\n",
       "      <td>shampoo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>rice</td>\n",
       "      <td>sparkling water</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>spaghetti</td>\n",
       "      <td>mineral water</td>\n",
       "      <td>ham</td>\n",
       "      <td>body spray</td>\n",
       "      <td>pancakes</td>\n",
       "      <td>green tea</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>burgers</td>\n",
       "      <td>grated cheese</td>\n",
       "      <td>shrimp</td>\n",
       "      <td>pasta</td>\n",
       "      <td>avocado</td>\n",
       "      <td>honey</td>\n",
       "      <td>white wine</td>\n",
       "      <td>toothpaste</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>eggs</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>parmesan cheese</td>\n",
       "      <td>spaghetti</td>\n",
       "      <td>soup</td>\n",
       "      <td>avocado</td>\n",
       "      <td>milk</td>\n",
       "      <td>fresh bread</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>ground beef</td>\n",
       "      <td>spaghetti</td>\n",
       "      <td>mineral water</td>\n",
       "      <td>milk</td>\n",
       "      <td>energy bar</td>\n",
       "      <td>black tea</td>\n",
       "      <td>salmon</td>\n",
       "      <td>frozen smoothie</td>\n",
       "      <td>escalope</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>sparkling water</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>mineral water</td>\n",
       "      <td>eggs</td>\n",
       "      <td>chicken</td>\n",
       "      <td>chocolate</td>\n",
       "      <td>french fries</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>frozen vegetables</td>\n",
       "      <td>spaghetti</td>\n",
       "      <td>yams</td>\n",
       "      <td>mineral water</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "      <td>...</td>\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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7471</th>\n",
       "      <td>mineral water</td>\n",
       "      <td>chocolate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7472</th>\n",
       "      <td>chocolate</td>\n",
       "      <td>grated cheese</td>\n",
       "      <td>mineral water</td>\n",
       "      <td>olive oil</td>\n",
       "      <td>green tea</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7473</th>\n",
       "      <td>whole wheat rice</td>\n",
       "      <td>cake</td>\n",
       "      <td>cottage cheese</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7474</th>\n",
       "      <td>turkey</td>\n",
       "      <td>shrimp</td>\n",
       "      <td>pasta</td>\n",
       "      <td>mineral water</td>\n",
       "      <td>chocolate</td>\n",
       "      <td>milk</td>\n",
       "      <td>salmon</td>\n",
       "      <td>vegetables mix</td>\n",
       "      <td>muffins</td>\n",
       "      <td>eggs</td>\n",
       "      <td>sparkling water</td>\n",
       "      <td>gluten free bar</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7475</th>\n",
       "      <td>turkey</td>\n",
       "      <td>mineral water</td>\n",
       "      <td>cooking oil</td>\n",
       "      <td>chocolate</td>\n",
       "      <td>french fries</td>\n",
       "      <td>protein bar</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7476</th>\n",
       "      <td>tomatoes</td>\n",
       "      <td>tomato sauce</td>\n",
       "      <td>spaghetti</td>\n",
       "      <td>mineral water</td>\n",
       "      <td>soup</td>\n",
       "      <td>olive oil</td>\n",
       "      <td>mashed potato</td>\n",
       "      <td>fresh bread</td>\n",
       "      <td>mayonnaise</td>\n",
       "      <td>green tea</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7477</th>\n",
       "      <td>tomato juice</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7478</th>\n",
       "      <td>turkey</td>\n",
       "      <td>ground beef</td>\n",
       "      <td>mineral water</td>\n",
       "      <td>chocolate</td>\n",
       "      <td>soup</td>\n",
       "      <td>pancakes</td>\n",
       "      <td>whole wheat rice</td>\n",
       "      <td>light cream</td>\n",
       "      <td>carrots</td>\n",
       "      <td>mayonnaise</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7479</th>\n",
       "      <td>shrimp</td>\n",
       "      <td>pasta</td>\n",
       "      <td>mineral water</td>\n",
       "      <td>olive oil</td>\n",
       "      <td>pancakes</td>\n",
       "      <td>bug spray</td>\n",
       "      <td>low fat yogurt</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7480</th>\n",
       "      <td>frozen vegetables</td>\n",
       "      <td>french wine</td>\n",
       "      <td>pancakes</td>\n",
       "      <td>french fries</td>\n",
       "      <td>champagne</td>\n",
       "      <td>strawberries</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7481</th>\n",
       "      <td>chocolate</td>\n",
       "      <td>shrimp</td>\n",
       "      <td>pasta</td>\n",
       "      <td>spaghetti</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7482</th>\n",
       "      <td>chocolate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7483</th>\n",
       "      <td>fresh tuna</td>\n",
       "      <td>parmesan cheese</td>\n",
       "      <td>whole wheat pasta</td>\n",
       "      <td>french wine</td>\n",
       "      <td>fromage blanc</td>\n",
       "      <td>cottage cheese</td>\n",
       "      <td>brownies</td>\n",
       "      <td>salad</td>\n",
       "      <td>mint</td>\n",
       "      <td>green tea</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7484</th>\n",
       "      <td>cookies</td>\n",
       "      <td>energy drink</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7485</th>\n",
       "      <td>parmesan cheese</td>\n",
       "      <td>champagne</td>\n",
       "      <td>white wine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7486</th>\n",
       "      <td>red wine</td>\n",
       "      <td>tomato sauce</td>\n",
       "      <td>spaghetti</td>\n",
       "      <td>chocolate</td>\n",
       "      <td>olive oil</td>\n",
       "      <td>french fries</td>\n",
       "      <td>salt</td>\n",
       "      <td>asparagus</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7487</th>\n",
       "      <td>soup</td>\n",
       "      <td>milk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7488</th>\n",
       "      <td>eggs</td>\n",
       "      <td>whole wheat rice</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7489</th>\n",
       "      <td>brownies</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7490</th>\n",
       "      <td>herb &amp; pepper</td>\n",
       "      <td>spaghetti</td>\n",
       "      <td>low fat yogurt</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7491</th>\n",
       "      <td>herb &amp; pepper</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7492</th>\n",
       "      <td>chocolate</td>\n",
       "      <td>escalope</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7493</th>\n",
       "      <td>burgers</td>\n",
       "      <td>salmon</td>\n",
       "      <td>pancakes</td>\n",
       "      <td>french fries</td>\n",
       "      <td>frozen smoothie</td>\n",
       "      <td>fresh bread</td>\n",
       "      <td>mint</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7494</th>\n",
       "      <td>turkey</td>\n",
       "      <td>burgers</td>\n",
       "      <td>dessert wine</td>\n",
       "      <td>shrimp</td>\n",
       "      <td>pasta</td>\n",
       "      <td>tomatoes</td>\n",
       "      <td>pepper</td>\n",
       "      <td>milk</td>\n",
       "      <td>pancakes</td>\n",
       "      <td>whole wheat rice</td>\n",
       "      <td>oil</td>\n",
       "      <td>frozen smoothie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7495</th>\n",
       "      <td>pancakes</td>\n",
       "      <td>light mayo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7496</th>\n",
       "      <td>butter</td>\n",
       "      <td>light mayo</td>\n",
       "      <td>fresh bread</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7497</th>\n",
       "      <td>burgers</td>\n",
       "      <td>frozen vegetables</td>\n",
       "      <td>eggs</td>\n",
       "      <td>french fries</td>\n",
       "      <td>magazines</td>\n",
       "      <td>green tea</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7498</th>\n",
       "      <td>chicken</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7499</th>\n",
       "      <td>escalope</td>\n",
       "      <td>green tea</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7500</th>\n",
       "      <td>eggs</td>\n",
       "      <td>frozen smoothie</td>\n",
       "      <td>yogurt cake</td>\n",
       "      <td>low fat yogurt</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7501 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     0                  1                  2   \\\n",
       "0                shrimp            almonds            avocado   \n",
       "1               burgers          meatballs               eggs   \n",
       "2               chutney                NaN                NaN   \n",
       "3                turkey            avocado                NaN   \n",
       "4         mineral water               milk         energy bar   \n",
       "5        low fat yogurt                NaN                NaN   \n",
       "6     whole wheat pasta       french fries                NaN   \n",
       "7                  soup        light cream            shallot   \n",
       "8     frozen vegetables          spaghetti          green tea   \n",
       "9          french fries                NaN                NaN   \n",
       "10                 eggs           pet food                NaN   \n",
       "11              cookies                NaN                NaN   \n",
       "12               turkey            burgers      mineral water   \n",
       "13            spaghetti          champagne            cookies   \n",
       "14        mineral water             salmon                NaN   \n",
       "15        mineral water                NaN                NaN   \n",
       "16               shrimp          chocolate            chicken   \n",
       "17               turkey               eggs                NaN   \n",
       "18               turkey         fresh tuna           tomatoes   \n",
       "19            meatballs               milk              honey   \n",
       "20             red wine             shrimp              pasta   \n",
       "21                 rice    sparkling water                NaN   \n",
       "22            spaghetti      mineral water                ham   \n",
       "23              burgers      grated cheese             shrimp   \n",
       "24                 eggs                NaN                NaN   \n",
       "25      parmesan cheese          spaghetti               soup   \n",
       "26          ground beef          spaghetti      mineral water   \n",
       "27      sparkling water                NaN                NaN   \n",
       "28        mineral water               eggs            chicken   \n",
       "29    frozen vegetables          spaghetti               yams   \n",
       "...                 ...                ...                ...   \n",
       "7471      mineral water          chocolate                NaN   \n",
       "7472          chocolate      grated cheese      mineral water   \n",
       "7473   whole wheat rice               cake     cottage cheese   \n",
       "7474             turkey             shrimp              pasta   \n",
       "7475             turkey      mineral water        cooking oil   \n",
       "7476           tomatoes       tomato sauce          spaghetti   \n",
       "7477       tomato juice                NaN                NaN   \n",
       "7478             turkey        ground beef      mineral water   \n",
       "7479             shrimp              pasta      mineral water   \n",
       "7480  frozen vegetables        french wine           pancakes   \n",
       "7481          chocolate             shrimp              pasta   \n",
       "7482          chocolate                NaN                NaN   \n",
       "7483         fresh tuna    parmesan cheese  whole wheat pasta   \n",
       "7484            cookies       energy drink                NaN   \n",
       "7485    parmesan cheese          champagne         white wine   \n",
       "7486           red wine       tomato sauce          spaghetti   \n",
       "7487               soup               milk                NaN   \n",
       "7488               eggs   whole wheat rice                NaN   \n",
       "7489           brownies                NaN                NaN   \n",
       "7490      herb & pepper          spaghetti     low fat yogurt   \n",
       "7491      herb & pepper                NaN                NaN   \n",
       "7492          chocolate           escalope                NaN   \n",
       "7493            burgers             salmon           pancakes   \n",
       "7494             turkey            burgers       dessert wine   \n",
       "7495           pancakes         light mayo                NaN   \n",
       "7496             butter         light mayo        fresh bread   \n",
       "7497            burgers  frozen vegetables               eggs   \n",
       "7498            chicken                NaN                NaN   \n",
       "7499           escalope          green tea                NaN   \n",
       "7500               eggs    frozen smoothie        yogurt cake   \n",
       "\n",
       "                    3                4                 5                 6   \\\n",
       "0       vegetables mix     green grapes  whole weat flour              yams   \n",
       "1                  NaN              NaN               NaN               NaN   \n",
       "2                  NaN              NaN               NaN               NaN   \n",
       "3                  NaN              NaN               NaN               NaN   \n",
       "4     whole wheat rice        green tea               NaN               NaN   \n",
       "5                  NaN              NaN               NaN               NaN   \n",
       "6                  NaN              NaN               NaN               NaN   \n",
       "7                  NaN              NaN               NaN               NaN   \n",
       "8                  NaN              NaN               NaN               NaN   \n",
       "9                  NaN              NaN               NaN               NaN   \n",
       "10                 NaN              NaN               NaN               NaN   \n",
       "11                 NaN              NaN               NaN               NaN   \n",
       "12                eggs      cooking oil               NaN               NaN   \n",
       "13                 NaN              NaN               NaN               NaN   \n",
       "14                 NaN              NaN               NaN               NaN   \n",
       "15                 NaN              NaN               NaN               NaN   \n",
       "16               honey              oil       cooking oil    low fat yogurt   \n",
       "17                 NaN              NaN               NaN               NaN   \n",
       "18           spaghetti    mineral water         black tea            salmon   \n",
       "19        french fries      protein bar               NaN               NaN   \n",
       "20              pepper             eggs         chocolate           shampoo   \n",
       "21                 NaN              NaN               NaN               NaN   \n",
       "22          body spray         pancakes         green tea               NaN   \n",
       "23               pasta          avocado             honey        white wine   \n",
       "24                 NaN              NaN               NaN               NaN   \n",
       "25             avocado             milk       fresh bread               NaN   \n",
       "26                milk       energy bar         black tea            salmon   \n",
       "27                 NaN              NaN               NaN               NaN   \n",
       "28           chocolate     french fries               NaN               NaN   \n",
       "29       mineral water              NaN               NaN               NaN   \n",
       "...                ...              ...               ...               ...   \n",
       "7471               NaN              NaN               NaN               NaN   \n",
       "7472         olive oil        green tea               NaN               NaN   \n",
       "7473               NaN              NaN               NaN               NaN   \n",
       "7474     mineral water        chocolate              milk            salmon   \n",
       "7475         chocolate     french fries       protein bar               NaN   \n",
       "7476     mineral water             soup         olive oil     mashed potato   \n",
       "7477               NaN              NaN               NaN               NaN   \n",
       "7478         chocolate             soup          pancakes  whole wheat rice   \n",
       "7479         olive oil         pancakes         bug spray    low fat yogurt   \n",
       "7480      french fries        champagne      strawberries               NaN   \n",
       "7481         spaghetti              NaN               NaN               NaN   \n",
       "7482               NaN              NaN               NaN               NaN   \n",
       "7483       french wine    fromage blanc    cottage cheese          brownies   \n",
       "7484               NaN              NaN               NaN               NaN   \n",
       "7485               NaN              NaN               NaN               NaN   \n",
       "7486         chocolate        olive oil      french fries              salt   \n",
       "7487               NaN              NaN               NaN               NaN   \n",
       "7488               NaN              NaN               NaN               NaN   \n",
       "7489               NaN              NaN               NaN               NaN   \n",
       "7490               NaN              NaN               NaN               NaN   \n",
       "7491               NaN              NaN               NaN               NaN   \n",
       "7492               NaN              NaN               NaN               NaN   \n",
       "7493      french fries  frozen smoothie       fresh bread              mint   \n",
       "7494            shrimp            pasta          tomatoes            pepper   \n",
       "7495               NaN              NaN               NaN               NaN   \n",
       "7496               NaN              NaN               NaN               NaN   \n",
       "7497      french fries        magazines         green tea               NaN   \n",
       "7498               NaN              NaN               NaN               NaN   \n",
       "7499               NaN              NaN               NaN               NaN   \n",
       "7500    low fat yogurt              NaN               NaN               NaN   \n",
       "\n",
       "                   7             8                     9                10  \\\n",
       "0      cottage cheese  energy drink          tomato juice   low fat yogurt   \n",
       "1                 NaN           NaN                   NaN              NaN   \n",
       "2                 NaN           NaN                   NaN              NaN   \n",
       "3                 NaN           NaN                   NaN              NaN   \n",
       "4                 NaN           NaN                   NaN              NaN   \n",
       "5                 NaN           NaN                   NaN              NaN   \n",
       "6                 NaN           NaN                   NaN              NaN   \n",
       "7                 NaN           NaN                   NaN              NaN   \n",
       "8                 NaN           NaN                   NaN              NaN   \n",
       "9                 NaN           NaN                   NaN              NaN   \n",
       "10                NaN           NaN                   NaN              NaN   \n",
       "11                NaN           NaN                   NaN              NaN   \n",
       "12                NaN           NaN                   NaN              NaN   \n",
       "13                NaN           NaN                   NaN              NaN   \n",
       "14                NaN           NaN                   NaN              NaN   \n",
       "15                NaN           NaN                   NaN              NaN   \n",
       "16                NaN           NaN                   NaN              NaN   \n",
       "17                NaN           NaN                   NaN              NaN   \n",
       "18               eggs       chicken  extra dark chocolate              NaN   \n",
       "19                NaN           NaN                   NaN              NaN   \n",
       "20                NaN           NaN                   NaN              NaN   \n",
       "21                NaN           NaN                   NaN              NaN   \n",
       "22                NaN           NaN                   NaN              NaN   \n",
       "23         toothpaste           NaN                   NaN              NaN   \n",
       "24                NaN           NaN                   NaN              NaN   \n",
       "25                NaN           NaN                   NaN              NaN   \n",
       "26    frozen smoothie      escalope                   NaN              NaN   \n",
       "27                NaN           NaN                   NaN              NaN   \n",
       "28                NaN           NaN                   NaN              NaN   \n",
       "29                NaN           NaN                   NaN              NaN   \n",
       "...               ...           ...                   ...              ...   \n",
       "7471              NaN           NaN                   NaN              NaN   \n",
       "7472              NaN           NaN                   NaN              NaN   \n",
       "7473              NaN           NaN                   NaN              NaN   \n",
       "7474   vegetables mix       muffins                  eggs  sparkling water   \n",
       "7475              NaN           NaN                   NaN              NaN   \n",
       "7476      fresh bread    mayonnaise             green tea              NaN   \n",
       "7477              NaN           NaN                   NaN              NaN   \n",
       "7478      light cream       carrots            mayonnaise              NaN   \n",
       "7479              NaN           NaN                   NaN              NaN   \n",
       "7480              NaN           NaN                   NaN              NaN   \n",
       "7481              NaN           NaN                   NaN              NaN   \n",
       "7482              NaN           NaN                   NaN              NaN   \n",
       "7483            salad          mint             green tea              NaN   \n",
       "7484              NaN           NaN                   NaN              NaN   \n",
       "7485              NaN           NaN                   NaN              NaN   \n",
       "7486        asparagus           NaN                   NaN              NaN   \n",
       "7487              NaN           NaN                   NaN              NaN   \n",
       "7488              NaN           NaN                   NaN              NaN   \n",
       "7489              NaN           NaN                   NaN              NaN   \n",
       "7490              NaN           NaN                   NaN              NaN   \n",
       "7491              NaN           NaN                   NaN              NaN   \n",
       "7492              NaN           NaN                   NaN              NaN   \n",
       "7493              NaN           NaN                   NaN              NaN   \n",
       "7494             milk      pancakes      whole wheat rice              oil   \n",
       "7495              NaN           NaN                   NaN              NaN   \n",
       "7496              NaN           NaN                   NaN              NaN   \n",
       "7497              NaN           NaN                   NaN              NaN   \n",
       "7498              NaN           NaN                   NaN              NaN   \n",
       "7499              NaN           NaN                   NaN              NaN   \n",
       "7500              NaN           NaN                   NaN              NaN   \n",
       "\n",
       "                   11     12     13             14      15                 16  \\\n",
       "0           green tea  honey  salad  mineral water  salmon  antioxydant juice   \n",
       "1                 NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "2                 NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "3                 NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "4                 NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "5                 NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "6                 NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7                 NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "8                 NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "9                 NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "10                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "11                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "12                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "13                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "14                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "15                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "16                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "17                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "18                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "19                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "20                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "21                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "22                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "23                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "24                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "25                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "26                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "27                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "28                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "29                NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "...               ...    ...    ...            ...     ...                ...   \n",
       "7471              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7472              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7473              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7474  gluten free bar    NaN    NaN            NaN     NaN                NaN   \n",
       "7475              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7476              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7477              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7478              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7479              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7480              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7481              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7482              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7483              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7484              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7485              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7486              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7487              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7488              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7489              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7490              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7491              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7492              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7493              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7494  frozen smoothie    NaN    NaN            NaN     NaN                NaN   \n",
       "7495              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7496              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7497              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7498              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7499              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "7500              NaN    NaN    NaN            NaN     NaN                NaN   \n",
       "\n",
       "                   17       18         19  \n",
       "0     frozen smoothie  spinach  olive oil  \n",
       "1                 NaN      NaN        NaN  \n",
       "2                 NaN      NaN        NaN  \n",
       "3                 NaN      NaN        NaN  \n",
       "4                 NaN      NaN        NaN  \n",
       "5                 NaN      NaN        NaN  \n",
       "6                 NaN      NaN        NaN  \n",
       "7                 NaN      NaN        NaN  \n",
       "8                 NaN      NaN        NaN  \n",
       "9                 NaN      NaN        NaN  \n",
       "10                NaN      NaN        NaN  \n",
       "11                NaN      NaN        NaN  \n",
       "12                NaN      NaN        NaN  \n",
       "13                NaN      NaN        NaN  \n",
       "14                NaN      NaN        NaN  \n",
       "15                NaN      NaN        NaN  \n",
       "16                NaN      NaN        NaN  \n",
       "17                NaN      NaN        NaN  \n",
       "18                NaN      NaN        NaN  \n",
       "19                NaN      NaN        NaN  \n",
       "20                NaN      NaN        NaN  \n",
       "21                NaN      NaN        NaN  \n",
       "22                NaN      NaN        NaN  \n",
       "23                NaN      NaN        NaN  \n",
       "24                NaN      NaN        NaN  \n",
       "25                NaN      NaN        NaN  \n",
       "26                NaN      NaN        NaN  \n",
       "27                NaN      NaN        NaN  \n",
       "28                NaN      NaN        NaN  \n",
       "29                NaN      NaN        NaN  \n",
       "...               ...      ...        ...  \n",
       "7471              NaN      NaN        NaN  \n",
       "7472              NaN      NaN        NaN  \n",
       "7473              NaN      NaN        NaN  \n",
       "7474              NaN      NaN        NaN  \n",
       "7475              NaN      NaN        NaN  \n",
       "7476              NaN      NaN        NaN  \n",
       "7477              NaN      NaN        NaN  \n",
       "7478              NaN      NaN        NaN  \n",
       "7479              NaN      NaN        NaN  \n",
       "7480              NaN      NaN        NaN  \n",
       "7481              NaN      NaN        NaN  \n",
       "7482              NaN      NaN        NaN  \n",
       "7483              NaN      NaN        NaN  \n",
       "7484              NaN      NaN        NaN  \n",
       "7485              NaN      NaN        NaN  \n",
       "7486              NaN      NaN        NaN  \n",
       "7487              NaN      NaN        NaN  \n",
       "7488              NaN      NaN        NaN  \n",
       "7489              NaN      NaN        NaN  \n",
       "7490              NaN      NaN        NaN  \n",
       "7491              NaN      NaN        NaN  \n",
       "7492              NaN      NaN        NaN  \n",
       "7493              NaN      NaN        NaN  \n",
       "7494              NaN      NaN        NaN  \n",
       "7495              NaN      NaN        NaN  \n",
       "7496              NaN      NaN        NaN  \n",
       "7497              NaN      NaN        NaN  \n",
       "7498              NaN      NaN        NaN  \n",
       "7499              NaN      NaN        NaN  \n",
       "7500              NaN      NaN        NaN  \n",
       "\n",
       "[7501 rows x 20 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "transactions = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for i in range(0, 7501):\n",
    "    transactions.append([str(dataset.values[i,j]) for j in range(0, 20)])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Training Apriori on the Dataset (Part 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from apyori import apriori"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "rules = apriori(transactions, min_support = 0.003, min_confidence = 0.2, min_lift = 3, min_length = 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualizing the Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "results = list(rules)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[RelationRecord(items=frozenset({'light cream', 'chicken'}), support=0.004532728969470737, ordered_statistics=[OrderedStatistic(items_base=frozenset({'light cream'}), items_add=frozenset({'chicken'}), confidence=0.29059829059829057, lift=4.84395061728395)]),\n",
       " RelationRecord(items=frozenset({'escalope', 'mushroom cream sauce'}), support=0.005732568990801226, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mushroom cream sauce'}), items_add=frozenset({'escalope'}), confidence=0.3006993006993007, lift=3.790832696715049)]),\n",
       " RelationRecord(items=frozenset({'escalope', 'pasta'}), support=0.005865884548726837, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pasta'}), items_add=frozenset({'escalope'}), confidence=0.3728813559322034, lift=4.700811850163794)]),\n",
       " RelationRecord(items=frozenset({'fromage blanc', 'honey'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fromage blanc'}), items_add=frozenset({'honey'}), confidence=0.2450980392156863, lift=5.164270764485569)]),\n",
       " RelationRecord(items=frozenset({'herb & pepper', 'ground beef'}), support=0.015997866951073192, ordered_statistics=[OrderedStatistic(items_base=frozenset({'herb & pepper'}), items_add=frozenset({'ground beef'}), confidence=0.3234501347708895, lift=3.2919938411349285)]),\n",
       " RelationRecord(items=frozenset({'tomato sauce', 'ground beef'}), support=0.005332622317024397, ordered_statistics=[OrderedStatistic(items_base=frozenset({'tomato sauce'}), items_add=frozenset({'ground beef'}), confidence=0.3773584905660377, lift=3.840659481324083)]),\n",
       " RelationRecord(items=frozenset({'light cream', 'olive oil'}), support=0.003199573390214638, ordered_statistics=[OrderedStatistic(items_base=frozenset({'light cream'}), items_add=frozenset({'olive oil'}), confidence=0.20512820512820515, lift=3.1147098515519573)]),\n",
       " RelationRecord(items=frozenset({'whole wheat pasta', 'olive oil'}), support=0.007998933475536596, ordered_statistics=[OrderedStatistic(items_base=frozenset({'whole wheat pasta'}), items_add=frozenset({'olive oil'}), confidence=0.2714932126696833, lift=4.122410097642296)]),\n",
       " RelationRecord(items=frozenset({'pasta', 'shrimp'}), support=0.005065991201173177, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pasta'}), items_add=frozenset({'shrimp'}), confidence=0.3220338983050847, lift=4.506672147735896)]),\n",
       " RelationRecord(items=frozenset({'avocado', 'spaghetti', 'milk'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'avocado', 'spaghetti'}), items_add=frozenset({'milk'}), confidence=0.41666666666666663, lift=3.215449245541838)]),\n",
       " RelationRecord(items=frozenset({'cake', 'burgers', 'milk'}), support=0.0037328356219170776, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cake', 'milk'}), items_add=frozenset({'burgers'}), confidence=0.27999999999999997, lift=3.211437308868501)]),\n",
       " RelationRecord(items=frozenset({'burgers', 'chocolate', 'turkey'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'turkey'}), items_add=frozenset({'burgers'}), confidence=0.27058823529411763, lift=3.1034898363014927)]),\n",
       " RelationRecord(items=frozenset({'burgers', 'turkey', 'milk'}), support=0.003199573390214638, ordered_statistics=[OrderedStatistic(items_base=frozenset({'turkey', 'milk'}), items_add=frozenset({'burgers'}), confidence=0.2823529411764706, lift=3.2384241770102533)]),\n",
       " RelationRecord(items=frozenset({'cake', 'tomatoes', 'frozen vegetables'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cake', 'frozen vegetables'}), items_add=frozenset({'tomatoes'}), confidence=0.2987012987012987, lift=4.367560314928736), OrderedStatistic(items_base=frozenset({'cake', 'tomatoes'}), items_add=frozenset({'frozen vegetables'}), confidence=0.36507936507936506, lift=3.8300144300144296)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'cereals', 'ground beef'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cereals', 'ground beef'}), items_add=frozenset({'spaghetti'}), confidence=0.6764705882352942, lift=3.8853031258445188), OrderedStatistic(items_base=frozenset({'cereals', 'spaghetti'}), items_add=frozenset({'ground beef'}), confidence=0.45999999999999996, lift=4.681763907734057)]),\n",
       " RelationRecord(items=frozenset({'milk', 'ground beef', 'chicken'}), support=0.0038661511798426876, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef', 'chicken'}), items_add=frozenset({'milk'}), confidence=0.40845070422535207, lift=3.152046020981858)]),\n",
       " RelationRecord(items=frozenset({'light cream', 'nan', 'chicken'}), support=0.004532728969470737, ordered_statistics=[OrderedStatistic(items_base=frozenset({'light cream', 'nan'}), items_add=frozenset({'chicken'}), confidence=0.29059829059829057, lift=4.84395061728395)]),\n",
       " RelationRecord(items=frozenset({'milk', 'olive oil', 'chicken'}), support=0.0035995200639914677, ordered_statistics=[OrderedStatistic(items_base=frozenset({'milk', 'chicken'}), items_add=frozenset({'olive oil'}), confidence=0.24324324324324323, lift=3.693456614509246), OrderedStatistic(items_base=frozenset({'olive oil', 'chicken'}), items_add=frozenset({'milk'}), confidence=0.5, lift=3.858539094650206), OrderedStatistic(items_base=frozenset({'olive oil', 'milk'}), items_add=frozenset({'chicken'}), confidence=0.2109375, lift=3.51609375)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'spaghetti', 'chicken'}), support=0.0034662045060658577, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'chicken'}), items_add=frozenset({'olive oil'}), confidence=0.20155038759689922, lift=3.0603835169318647)]),\n",
       " RelationRecord(items=frozenset({'chocolate', 'shrimp', 'frozen vegetables'}), support=0.005332622317024397, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'frozen vegetables'}), items_add=frozenset({'shrimp'}), confidence=0.23255813953488375, lift=3.2545123221103784), OrderedStatistic(items_base=frozenset({'chocolate', 'shrimp'}), items_add=frozenset({'frozen vegetables'}), confidence=0.29629629629629634, lift=3.1084175084175087)]),\n",
       " RelationRecord(items=frozenset({'chocolate', 'herb & pepper', 'ground beef'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'herb & pepper'}), items_add=frozenset({'ground beef'}), confidence=0.4411764705882354, lift=4.4901827759597746)]),\n",
       " RelationRecord(items=frozenset({'chocolate', 'milk', 'soup'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'soup'}), items_add=frozenset({'milk'}), confidence=0.3947368421052632, lift=3.0462150747238472)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'cooking oil', 'ground beef'}), support=0.004799360085321957, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cooking oil', 'ground beef'}), items_add=frozenset({'spaghetti'}), confidence=0.5714285714285714, lift=3.2819951870487856), OrderedStatistic(items_base=frozenset({'spaghetti', 'cooking oil'}), items_add=frozenset({'ground beef'}), confidence=0.3025210084033613, lift=3.0789824749438446)]),\n",
       " RelationRecord(items=frozenset({'eggs', 'herb & pepper', 'ground beef'}), support=0.0041327822956939075, ordered_statistics=[OrderedStatistic(items_base=frozenset({'eggs', 'ground beef'}), items_add=frozenset({'herb & pepper'}), confidence=0.2066666666666667, lift=4.178454627133872), OrderedStatistic(items_base=frozenset({'eggs', 'herb & pepper'}), items_add=frozenset({'ground beef'}), confidence=0.3297872340425532, lift=3.3564912381997174)]),\n",
       " RelationRecord(items=frozenset({'eggs', 'spaghetti', 'red wine'}), support=0.0037328356219170776, ordered_statistics=[OrderedStatistic(items_base=frozenset({'eggs', 'red wine'}), items_add=frozenset({'spaghetti'}), confidence=0.5283018867924528, lift=3.0342974370828397)]),\n",
       " RelationRecord(items=frozenset({'escalope', 'nan', 'mushroom cream sauce'}), support=0.005732568990801226, ordered_statistics=[OrderedStatistic(items_base=frozenset({'nan', 'mushroom cream sauce'}), items_add=frozenset({'escalope'}), confidence=0.3006993006993007, lift=3.790832696715049)]),\n",
       " RelationRecord(items=frozenset({'escalope', 'pasta', 'nan'}), support=0.005865884548726837, ordered_statistics=[OrderedStatistic(items_base=frozenset({'nan', 'pasta'}), items_add=frozenset({'escalope'}), confidence=0.3728813559322034, lift=4.700811850163794)]),\n",
       " RelationRecord(items=frozenset({'herb & pepper', 'french fries', 'ground beef'}), support=0.003199573390214638, ordered_statistics=[OrderedStatistic(items_base=frozenset({'french fries', 'ground beef'}), items_add=frozenset({'herb & pepper'}), confidence=0.23076923076923078, lift=4.665768194070081), OrderedStatistic(items_base=frozenset({'french fries', 'herb & pepper'}), items_add=frozenset({'ground beef'}), confidence=0.46153846153846156, lift=4.697421981004071)]),\n",
       " RelationRecord(items=frozenset({'nan', 'fromage blanc', 'honey'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'nan', 'fromage blanc'}), items_add=frozenset({'honey'}), confidence=0.2450980392156863, lift=5.164270764485569)]),\n",
       " RelationRecord(items=frozenset({'tomatoes', 'green tea', 'frozen vegetables'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'green tea', 'frozen vegetables'}), items_add=frozenset({'tomatoes'}), confidence=0.2314814814814815, lift=3.38468341635983)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'ground beef', 'frozen vegetables'}), support=0.008665511265164644, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'frozen vegetables'}), items_add=frozenset({'ground beef'}), confidence=0.31100478468899523, lift=3.165328208890303)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'milk', 'frozen vegetables'}), support=0.004799360085321957, ordered_statistics=[OrderedStatistic(items_base=frozenset({'milk', 'frozen vegetables'}), items_add=frozenset({'olive oil'}), confidence=0.20338983050847456, lift=3.088314005352364), OrderedStatistic(items_base=frozenset({'olive oil', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.4235294117647058, lift=3.2684095860566447)]),\n",
       " RelationRecord(items=frozenset({'soup', 'milk', 'frozen vegetables'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'soup', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.5, lift=3.858539094650206)]),\n",
       " RelationRecord(items=frozenset({'tomatoes', 'milk', 'frozen vegetables'}), support=0.0041327822956939075, ordered_statistics=[OrderedStatistic(items_base=frozenset({'tomatoes', 'milk'}), items_add=frozenset({'frozen vegetables'}), confidence=0.29523809523809524, lift=3.0973160173160172)]),\n",
       " RelationRecord(items=frozenset({'shrimp', 'mineral water', 'frozen vegetables'}), support=0.007199040127982935, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'shrimp'}), items_add=frozenset({'frozen vegetables'}), confidence=0.30508474576271183, lift=3.200616332819722)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'spaghetti', 'frozen vegetables'}), support=0.005732568990801226, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'frozen vegetables'}), items_add=frozenset({'olive oil'}), confidence=0.20574162679425836, lift=3.1240241752707125)]),\n",
       " RelationRecord(items=frozenset({'shrimp', 'spaghetti', 'frozen vegetables'}), support=0.005999200106652446, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'frozen vegetables'}), items_add=frozenset({'shrimp'}), confidence=0.21531100478468898, lift=3.0131489680782684)]),\n",
       " RelationRecord(items=frozenset({'shrimp', 'tomatoes', 'frozen vegetables'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'shrimp', 'frozen vegetables'}), items_add=frozenset({'tomatoes'}), confidence=0.24000000000000002, lift=3.5092397660818717), OrderedStatistic(items_base=frozenset({'tomatoes', 'frozen vegetables'}), items_add=frozenset({'shrimp'}), confidence=0.2479338842975207, lift=3.4696866905143704), OrderedStatistic(items_base=frozenset({'tomatoes', 'shrimp'}), items_add=frozenset({'frozen vegetables'}), confidence=0.35714285714285715, lift=3.7467532467532467)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'tomatoes', 'frozen vegetables'}), support=0.006665777896280496, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'frozen vegetables'}), items_add=frozenset({'tomatoes'}), confidence=0.23923444976076558, lift=3.4980460188216425), OrderedStatistic(items_base=frozenset({'spaghetti', 'tomatoes'}), items_add=frozenset({'frozen vegetables'}), confidence=0.3184713375796179, lift=3.341053850607991)]),\n",
       " RelationRecord(items=frozenset({'grated cheese', 'spaghetti', 'ground beef'}), support=0.005332622317024397, ordered_statistics=[OrderedStatistic(items_base=frozenset({'grated cheese', 'spaghetti'}), items_add=frozenset({'ground beef'}), confidence=0.3225806451612903, lift=3.283144395325426)]),\n",
       " RelationRecord(items=frozenset({'tomatoes', 'ground beef', 'green tea'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef', 'green tea'}), items_add=frozenset({'tomatoes'}), confidence=0.2072072072072072, lift=3.0297490472929067)]),\n",
       " RelationRecord(items=frozenset({'herb & pepper', 'ground beef', 'milk'}), support=0.0035995200639914677, ordered_statistics=[OrderedStatistic(items_base=frozenset({'herb & pepper', 'milk'}), items_add=frozenset({'ground beef'}), confidence=0.3913043478260869, lift=3.9825968969382335)]),\n",
       " RelationRecord(items=frozenset({'mineral water', 'herb & pepper', 'ground beef'}), support=0.006665777896280496, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'herb & pepper'}), items_add=frozenset({'ground beef'}), confidence=0.39062500000000006, lift=3.975682666214383)]),\n",
       " RelationRecord(items=frozenset({'herb & pepper', 'ground beef', 'nan'}), support=0.015997866951073192, ordered_statistics=[OrderedStatistic(items_base=frozenset({'herb & pepper', 'nan'}), items_add=frozenset({'ground beef'}), confidence=0.3234501347708895, lift=3.2919938411349285)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'herb & pepper', 'ground beef'}), support=0.006399146780429276, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'herb & pepper'}), items_add=frozenset({'ground beef'}), confidence=0.3934426229508197, lift=4.004359721511667)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'ground beef', 'milk'}), support=0.004932675643247567, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef', 'milk'}), items_add=frozenset({'olive oil'}), confidence=0.22424242424242427, lift=3.40494417862839)]),\n",
       " RelationRecord(items=frozenset({'ground beef', 'milk', 'soup'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef', 'soup'}), items_add=frozenset({'milk'}), confidence=0.4109589041095891, lift=3.1714019956029094)]),\n",
       " RelationRecord(items=frozenset({'tomato sauce', 'ground beef', 'nan'}), support=0.005332622317024397, ordered_statistics=[OrderedStatistic(items_base=frozenset({'tomato sauce', 'nan'}), items_add=frozenset({'ground beef'}), confidence=0.3773584905660377, lift=3.840659481324083)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'pepper', 'ground beef'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pepper', 'spaghetti'}), items_add=frozenset({'ground beef'}), confidence=0.33783783783783783, lift=3.4384282518610876)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'ground beef', 'shrimp'}), support=0.005999200106652446, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef', 'shrimp'}), items_add=frozenset({'spaghetti'}), confidence=0.5232558139534884, lift=3.005315360233627)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'tomato sauce', 'ground beef'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'tomato sauce', 'ground beef'}), items_add=frozenset({'spaghetti'}), confidence=0.5750000000000001, lift=3.3025076569678413), OrderedStatistic(items_base=frozenset({'tomato sauce', 'spaghetti'}), items_add=frozenset({'ground beef'}), confidence=0.4893617021276596, lift=4.980599901844742)]),\n",
       " RelationRecord(items=frozenset({'light cream', 'olive oil', 'nan'}), support=0.003199573390214638, ordered_statistics=[OrderedStatistic(items_base=frozenset({'light cream', 'nan'}), items_add=frozenset({'olive oil'}), confidence=0.20512820512820515, lift=3.1147098515519573)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'milk', 'shrimp'}), support=0.003199573390214638, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil', 'shrimp'}), items_add=frozenset({'milk'}), confidence=0.3934426229508197, lift=3.0362274843149164)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'milk', 'soup'}), support=0.0035995200639914677, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil', 'milk'}), items_add=frozenset({'soup'}), confidence=0.2109375, lift=4.174781497361478), OrderedStatistic(items_base=frozenset({'milk', 'soup'}), items_add=frozenset({'olive oil'}), confidence=0.23684210526315788, lift=3.5962603878116344), OrderedStatistic(items_base=frozenset({'olive oil', 'soup'}), items_add=frozenset({'milk'}), confidence=0.4029850746268656, lift=3.1098673300165833)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'spaghetti', 'milk'}), support=0.007199040127982935, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'milk'}), items_add=frozenset({'olive oil'}), confidence=0.20300751879699247, lift=3.0825089038385434)]),\n",
       " RelationRecord(items=frozenset({'tomatoes', 'milk', 'soup'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'tomatoes', 'milk'}), items_add=frozenset({'soup'}), confidence=0.21904761904761905, lift=4.335293378565146), OrderedStatistic(items_base=frozenset({'tomatoes', 'soup'}), items_add=frozenset({'milk'}), confidence=0.44230769230769235, lift=3.4133230452674903)]),\n",
       " RelationRecord(items=frozenset({'whole wheat pasta', 'spaghetti', 'milk'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'whole wheat pasta', 'spaghetti'}), items_add=frozenset({'milk'}), confidence=0.4545454545454546, lift=3.5077628133183696)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'mineral water', 'soup'}), support=0.005199306759098787, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'soup'}), items_add=frozenset({'olive oil'}), confidence=0.22543352601156072, lift=3.4230301186492245)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'mineral water', 'whole wheat pasta'}), support=0.0038661511798426876, ordered_statistics=[OrderedStatistic(items_base=frozenset({'whole wheat pasta', 'mineral water'}), items_add=frozenset({'olive oil'}), confidence=0.4027777777777778, lift=6.115862573099416)]),\n",
       " RelationRecord(items=frozenset({'whole wheat pasta', 'olive oil', 'nan'}), support=0.007998933475536596, ordered_statistics=[OrderedStatistic(items_base=frozenset({'whole wheat pasta', 'nan'}), items_add=frozenset({'olive oil'}), confidence=0.2714932126696833, lift=4.122410097642296)]),\n",
       " RelationRecord(items=frozenset({'nan', 'pasta', 'shrimp'}), support=0.005065991201173177, ordered_statistics=[OrderedStatistic(items_base=frozenset({'nan', 'pasta'}), items_add=frozenset({'shrimp'}), confidence=0.3220338983050847, lift=4.506672147735896)]),\n",
       " RelationRecord(items=frozenset({'pancakes', 'olive oil', 'spaghetti'}), support=0.005065991201173177, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pancakes', 'spaghetti'}), items_add=frozenset({'olive oil'}), confidence=0.20105820105820105, lift=3.0529100529100526)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'spaghetti', 'tomatoes'}), support=0.004399413411545127, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil', 'tomatoes'}), items_add=frozenset({'spaghetti'}), confidence=0.6111111111111112, lift=3.5099115194827295), OrderedStatistic(items_base=frozenset({'spaghetti', 'tomatoes'}), items_add=frozenset({'olive oil'}), confidence=0.21019108280254778, lift=3.19158565202816)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'tomatoes', 'whole wheat rice'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'whole wheat rice'}), items_add=frozenset({'tomatoes'}), confidence=0.2169811320754717, lift=3.1726617382029496)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'avocado', 'nan', 'milk'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'avocado', 'nan'}), items_add=frozenset({'milk'}), confidence=0.41666666666666663, lift=3.215449245541838)]),\n",
       " RelationRecord(items=frozenset({'cake', 'burgers', 'nan', 'milk'}), support=0.0037328356219170776, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cake', 'nan', 'milk'}), items_add=frozenset({'burgers'}), confidence=0.27999999999999997, lift=3.211437308868501)]),\n",
       " RelationRecord(items=frozenset({'burgers', 'turkey', 'chocolate', 'nan'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'turkey', 'nan'}), items_add=frozenset({'burgers'}), confidence=0.27058823529411763, lift=3.1034898363014927)]),\n",
       " RelationRecord(items=frozenset({'burgers', 'turkey', 'nan', 'milk'}), support=0.003199573390214638, ordered_statistics=[OrderedStatistic(items_base=frozenset({'turkey', 'nan', 'milk'}), items_add=frozenset({'burgers'}), confidence=0.2823529411764706, lift=3.2384241770102533)]),\n",
       " RelationRecord(items=frozenset({'cake', 'nan', 'tomatoes', 'frozen vegetables'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cake', 'nan', 'frozen vegetables'}), items_add=frozenset({'tomatoes'}), confidence=0.2987012987012987, lift=4.367560314928736), OrderedStatistic(items_base=frozenset({'cake', 'nan', 'tomatoes'}), items_add=frozenset({'frozen vegetables'}), confidence=0.36507936507936506, lift=3.8300144300144296)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'cereals', 'ground beef', 'nan'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cereals', 'ground beef', 'nan'}), items_add=frozenset({'spaghetti'}), confidence=0.6764705882352942, lift=3.8853031258445188), OrderedStatistic(items_base=frozenset({'spaghetti', 'cereals', 'nan'}), items_add=frozenset({'ground beef'}), confidence=0.45999999999999996, lift=4.681763907734057)]),\n",
       " RelationRecord(items=frozenset({'milk', 'nan', 'ground beef', 'chicken'}), support=0.0038661511798426876, ordered_statistics=[OrderedStatistic(items_base=frozenset({'nan', 'ground beef', 'chicken'}), items_add=frozenset({'milk'}), confidence=0.40845070422535207, lift=3.152046020981858)]),\n",
       " RelationRecord(items=frozenset({'milk', 'olive oil', 'nan', 'chicken'}), support=0.0035995200639914677, ordered_statistics=[OrderedStatistic(items_base=frozenset({'milk', 'nan', 'chicken'}), items_add=frozenset({'olive oil'}), confidence=0.24324324324324323, lift=3.693456614509246), OrderedStatistic(items_base=frozenset({'olive oil', 'nan', 'chicken'}), items_add=frozenset({'milk'}), confidence=0.5, lift=3.858539094650206), OrderedStatistic(items_base=frozenset({'olive oil', 'nan', 'milk'}), items_add=frozenset({'chicken'}), confidence=0.2109375, lift=3.51609375)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'olive oil', 'nan', 'chicken'}), support=0.0034662045060658577, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'nan', 'chicken'}), items_add=frozenset({'olive oil'}), confidence=0.20155038759689922, lift=3.0603835169318647)]),\n",
       " RelationRecord(items=frozenset({'eggs', 'chocolate', 'mineral water', 'ground beef'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'eggs', 'chocolate', 'mineral water'}), items_add=frozenset({'ground beef'}), confidence=0.29702970297029707, lift=3.023093354111531)]),\n",
       " RelationRecord(items=frozenset({'chocolate', 'mineral water', 'ground beef', 'frozen vegetables'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'mineral water', 'frozen vegetables'}), items_add=frozenset({'ground beef'}), confidence=0.34246575342465757, lift=3.4855300087358976), OrderedStatistic(items_base=frozenset({'chocolate', 'mineral water', 'ground beef'}), items_add=frozenset({'frozen vegetables'}), confidence=0.30487804878048785, lift=3.1984478935698455)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'chocolate', 'ground beef', 'frozen vegetables'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'ground beef', 'frozen vegetables'}), items_add=frozenset({'spaghetti'}), confidence=0.5348837209302326, lift=3.0721001460165964), OrderedStatistic(items_base=frozenset({'chocolate', 'spaghetti', 'frozen vegetables'}), items_add=frozenset({'ground beef'}), confidence=0.3898305084745763, lift=3.967596531978015), OrderedStatistic(items_base=frozenset({'spaghetti', 'chocolate', 'ground beef'}), items_add=frozenset({'frozen vegetables'}), confidence=0.33333333333333337, lift=3.4969696969696975)]),\n",
       " RelationRecord(items=frozenset({'chocolate', 'mineral water', 'milk', 'frozen vegetables'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'mineral water', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.4109589041095891, lift=3.1714019956029094)]),\n",
       " RelationRecord(items=frozenset({'chocolate', 'spaghetti', 'milk', 'frozen vegetables'}), support=0.0034662045060658577, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'spaghetti', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.44067796610169485, lift=3.4007463207086555), OrderedStatistic(items_base=frozenset({'chocolate', 'spaghetti', 'milk'}), items_add=frozenset({'frozen vegetables'}), confidence=0.3170731707317073, lift=3.3263858093126384)]),\n",
       " RelationRecord(items=frozenset({'chocolate', 'shrimp', 'mineral water', 'frozen vegetables'}), support=0.003199573390214638, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'mineral water', 'frozen vegetables'}), items_add=frozenset({'shrimp'}), confidence=0.32876712328767127, lift=4.600899611531385), OrderedStatistic(items_base=frozenset({'chocolate', 'mineral water', 'shrimp'}), items_add=frozenset({'frozen vegetables'}), confidence=0.4210526315789474, lift=4.417224880382776)]),\n",
       " RelationRecord(items=frozenset({'chocolate', 'shrimp', 'nan', 'frozen vegetables'}), support=0.005332622317024397, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'nan', 'frozen vegetables'}), items_add=frozenset({'shrimp'}), confidence=0.23255813953488375, lift=3.2545123221103784), OrderedStatistic(items_base=frozenset({'chocolate', 'nan', 'shrimp'}), items_add=frozenset({'frozen vegetables'}), confidence=0.29629629629629634, lift=3.1084175084175087)]),\n",
       " RelationRecord(items=frozenset({'chocolate', 'herb & pepper', 'ground beef', 'nan'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'herb & pepper', 'nan'}), items_add=frozenset({'ground beef'}), confidence=0.4411764705882354, lift=4.4901827759597746)]),\n",
       " RelationRecord(items=frozenset({'chocolate', 'nan', 'milk', 'soup'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'nan', 'soup'}), items_add=frozenset({'milk'}), confidence=0.3947368421052632, lift=3.0462150747238472)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'chocolate', 'mineral water', 'spaghetti'}), support=0.0038661511798426876, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'mineral water', 'spaghetti'}), items_add=frozenset({'olive oil'}), confidence=0.2436974789915966, lift=3.700353825740822)]),\n",
       " RelationRecord(items=frozenset({'chocolate', 'mineral water', 'spaghetti', 'shrimp'}), support=0.0034662045060658577, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'mineral water', 'spaghetti'}), items_add=frozenset({'shrimp'}), confidence=0.21848739495798317, lift=3.0576006522011783)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'cooking oil', 'ground beef', 'nan'}), support=0.004799360085321957, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cooking oil', 'ground beef', 'nan'}), items_add=frozenset({'spaghetti'}), confidence=0.5714285714285714, lift=3.2819951870487856), OrderedStatistic(items_base=frozenset({'spaghetti', 'cooking oil', 'nan'}), items_add=frozenset({'ground beef'}), confidence=0.3025210084033613, lift=3.0789824749438446)]),\n",
       " RelationRecord(items=frozenset({'eggs', 'mineral water', 'milk', 'frozen vegetables'}), support=0.0037328356219170776, ordered_statistics=[OrderedStatistic(items_base=frozenset({'eggs', 'mineral water', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.411764705882353, lift=3.177620430888405)]),\n",
       " RelationRecord(items=frozenset({'eggs', 'herb & pepper', 'ground beef', 'nan'}), support=0.0041327822956939075, ordered_statistics=[OrderedStatistic(items_base=frozenset({'eggs', 'ground beef', 'nan'}), items_add=frozenset({'herb & pepper'}), confidence=0.2066666666666667, lift=4.178454627133872), OrderedStatistic(items_base=frozenset({'eggs', 'herb & pepper', 'nan'}), items_add=frozenset({'ground beef'}), confidence=0.3297872340425532, lift=3.3564912381997174)]),\n",
       " RelationRecord(items=frozenset({'eggs', 'spaghetti', 'nan', 'red wine'}), support=0.0037328356219170776, ordered_statistics=[OrderedStatistic(items_base=frozenset({'eggs', 'nan', 'red wine'}), items_add=frozenset({'spaghetti'}), confidence=0.5283018867924528, lift=3.0342974370828397)]),\n",
       " RelationRecord(items=frozenset({'herb & pepper', 'french fries', 'ground beef', 'nan'}), support=0.003199573390214638, ordered_statistics=[OrderedStatistic(items_base=frozenset({'french fries', 'ground beef', 'nan'}), items_add=frozenset({'herb & pepper'}), confidence=0.23076923076923078, lift=4.665768194070081), OrderedStatistic(items_base=frozenset({'french fries', 'herb & pepper', 'nan'}), items_add=frozenset({'ground beef'}), confidence=0.46153846153846156, lift=4.697421981004071)]),\n",
       " RelationRecord(items=frozenset({'mineral water', 'frozen smoothie', 'spaghetti', 'milk'}), support=0.003199573390214638, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'frozen smoothie', 'spaghetti'}), items_add=frozenset({'milk'}), confidence=0.4705882352941177, lift=3.631566206729606), OrderedStatistic(items_base=frozenset({'mineral water', 'spaghetti', 'milk'}), items_add=frozenset({'frozen smoothie'}), confidence=0.2033898305084746, lift=3.211846565566459)]),\n",
       " RelationRecord(items=frozenset({'tomatoes', 'nan', 'green tea', 'frozen vegetables'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'nan', 'green tea', 'frozen vegetables'}), items_add=frozenset({'tomatoes'}), confidence=0.2314814814814815, lift=3.38468341635983)]),\n",
       " RelationRecord(items=frozenset({'mineral water', 'ground beef', 'milk', 'frozen vegetables'}), support=0.0037328356219170776, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'ground beef', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.40579710144927533, lift=3.1315679608755294), OrderedStatistic(items_base=frozenset({'mineral water', 'milk', 'frozen vegetables'}), items_add=frozenset({'ground beef'}), confidence=0.3373493975903614, lift=3.4334570302921317), OrderedStatistic(items_base=frozenset({'mineral water', 'ground beef', 'milk'}), items_add=frozenset({'frozen vegetables'}), confidence=0.3373493975903614, lift=3.539101861993428)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'ground beef', 'milk', 'frozen vegetables'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef', 'milk', 'frozen vegetables'}), items_add=frozenset({'spaghetti'}), confidence=0.5348837209302326, lift=3.0721001460165964), OrderedStatistic(items_base=frozenset({'spaghetti', 'milk', 'frozen vegetables'}), items_add=frozenset({'ground beef'}), confidence=0.3709677419354839, lift=3.7756160546242397), OrderedStatistic(items_base=frozenset({'spaghetti', 'ground beef', 'milk'}), items_add=frozenset({'frozen vegetables'}), confidence=0.3150684931506849, lift=3.305354919053549)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'mineral water', 'ground beef', 'frozen vegetables'}), support=0.004399413411545127, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'spaghetti', 'frozen vegetables'}), items_add=frozenset({'ground beef'}), confidence=0.3666666666666667, lift=3.7318407960199007)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'ground beef', 'nan', 'frozen vegetables'}), support=0.008665511265164644, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'nan', 'frozen vegetables'}), items_add=frozenset({'ground beef'}), confidence=0.31100478468899523, lift=3.165328208890303)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'mineral water', 'milk', 'frozen vegetables'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'milk', 'frozen vegetables'}), items_add=frozenset({'olive oil'}), confidence=0.30120481927710846, lift=4.573557387444516), OrderedStatistic(items_base=frozenset({'olive oil', 'mineral water', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.5102040816326531, lift=3.937284790459394), OrderedStatistic(items_base=frozenset({'olive oil', 'mineral water', 'milk'}), items_add=frozenset({'frozen vegetables'}), confidence=0.39062500000000006, lift=4.098011363636364)]),\n",
       " RelationRecord(items=frozenset({'soup', 'mineral water', 'milk', 'frozen vegetables'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'milk', 'frozen vegetables'}), items_add=frozenset({'soup'}), confidence=0.27710843373493976, lift=5.484407286136631), OrderedStatistic(items_base=frozenset({'soup', 'milk', 'frozen vegetables'}), items_add=frozenset({'mineral water'}), confidence=0.7666666666666666, lift=3.21631245339299), OrderedStatistic(items_base=frozenset({'soup', 'mineral water', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.6052631578947368, lift=4.670863114576565), OrderedStatistic(items_base=frozenset({'mineral water', 'milk', 'soup'}), items_add=frozenset({'frozen vegetables'}), confidence=0.35937500000000006, lift=3.7701704545454553)]),\n",
       " RelationRecord(items=frozenset({'mineral water', 'spaghetti', 'milk', 'frozen vegetables'}), support=0.004532728969470737, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'spaghetti', 'milk'}), items_add=frozenset({'frozen vegetables'}), confidence=0.28813559322033894, lift=3.0228043143297376)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'nan', 'milk', 'frozen vegetables'}), support=0.004799360085321957, ordered_statistics=[OrderedStatistic(items_base=frozenset({'nan', 'milk', 'frozen vegetables'}), items_add=frozenset({'olive oil'}), confidence=0.20338983050847456, lift=3.088314005352364), OrderedStatistic(items_base=frozenset({'olive oil', 'nan', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.4235294117647058, lift=3.2684095860566447)]),\n",
       " RelationRecord(items=frozenset({'soup', 'nan', 'milk', 'frozen vegetables'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'soup', 'nan', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.5, lift=3.858539094650206)]),\n",
       " RelationRecord(items=frozenset({'tomatoes', 'nan', 'milk', 'frozen vegetables'}), support=0.0041327822956939075, ordered_statistics=[OrderedStatistic(items_base=frozenset({'tomatoes', 'nan', 'milk'}), items_add=frozenset({'frozen vegetables'}), confidence=0.29523809523809524, lift=3.0973160173160172)]),\n",
       " RelationRecord(items=frozenset({'shrimp', 'mineral water', 'nan', 'frozen vegetables'}), support=0.007199040127982935, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'nan', 'shrimp'}), items_add=frozenset({'frozen vegetables'}), confidence=0.3068181818181818, lift=3.218801652892562)]),\n",
       " RelationRecord(items=frozenset({'shrimp', 'mineral water', 'spaghetti', 'frozen vegetables'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'spaghetti', 'frozen vegetables'}), items_add=frozenset({'shrimp'}), confidence=0.2777777777777778, lift=3.8873341625207294), OrderedStatistic(items_base=frozenset({'mineral water', 'spaghetti', 'shrimp'}), items_add=frozenset({'frozen vegetables'}), confidence=0.39062500000000006, lift=4.098011363636364)]),\n",
       " RelationRecord(items=frozenset({'mineral water', 'spaghetti', 'tomatoes', 'frozen vegetables'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'spaghetti', 'frozen vegetables'}), items_add=frozenset({'tomatoes'}), confidence=0.2555555555555556, lift=3.7366904916612524), OrderedStatistic(items_base=frozenset({'mineral water', 'tomatoes', 'frozen vegetables'}), items_add=frozenset({'spaghetti'}), confidence=0.5227272727272727, lift=3.0022796881525826), OrderedStatistic(items_base=frozenset({'mineral water', 'spaghetti', 'tomatoes'}), items_add=frozenset({'frozen vegetables'}), confidence=0.32857142857142857, lift=3.447012987012987)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'olive oil', 'nan', 'frozen vegetables'}), support=0.005732568990801226, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'nan', 'frozen vegetables'}), items_add=frozenset({'olive oil'}), confidence=0.20574162679425836, lift=3.1240241752707125)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'shrimp', 'nan', 'frozen vegetables'}), support=0.005999200106652446, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'nan', 'frozen vegetables'}), items_add=frozenset({'shrimp'}), confidence=0.21531100478468898, lift=3.0131489680782684)]),\n",
       " RelationRecord(items=frozenset({'shrimp', 'nan', 'tomatoes', 'frozen vegetables'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'shrimp', 'nan', 'frozen vegetables'}), items_add=frozenset({'tomatoes'}), confidence=0.24000000000000002, lift=3.5092397660818717), OrderedStatistic(items_base=frozenset({'nan', 'tomatoes', 'frozen vegetables'}), items_add=frozenset({'shrimp'}), confidence=0.2479338842975207, lift=3.4696866905143704), OrderedStatistic(items_base=frozenset({'nan', 'tomatoes', 'shrimp'}), items_add=frozenset({'frozen vegetables'}), confidence=0.35714285714285715, lift=3.7467532467532467)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'nan', 'tomatoes', 'frozen vegetables'}), support=0.006665777896280496, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'nan', 'frozen vegetables'}), items_add=frozenset({'tomatoes'}), confidence=0.23923444976076558, lift=3.4980460188216425), OrderedStatistic(items_base=frozenset({'spaghetti', 'nan', 'tomatoes'}), items_add=frozenset({'frozen vegetables'}), confidence=0.3184713375796179, lift=3.341053850607991)]),\n",
       " RelationRecord(items=frozenset({'grated cheese', 'spaghetti', 'ground beef', 'nan'}), support=0.005332622317024397, ordered_statistics=[OrderedStatistic(items_base=frozenset({'grated cheese', 'spaghetti', 'nan'}), items_add=frozenset({'ground beef'}), confidence=0.3225806451612903, lift=3.283144395325426)]),\n",
       " RelationRecord(items=frozenset({'nan', 'ground beef', 'tomatoes', 'green tea'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'nan', 'ground beef', 'green tea'}), items_add=frozenset({'tomatoes'}), confidence=0.2072072072072072, lift=3.0297490472929067)]),\n",
       " RelationRecord(items=frozenset({'nan', 'herb & pepper', 'ground beef', 'milk'}), support=0.0035995200639914677, ordered_statistics=[OrderedStatistic(items_base=frozenset({'nan', 'herb & pepper', 'milk'}), items_add=frozenset({'ground beef'}), confidence=0.3913043478260869, lift=3.9825968969382335)]),\n",
       " RelationRecord(items=frozenset({'mineral water', 'herb & pepper', 'ground beef', 'nan'}), support=0.006665777896280496, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'herb & pepper', 'nan'}), items_add=frozenset({'ground beef'}), confidence=0.39062500000000006, lift=3.975682666214383)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'herb & pepper', 'ground beef', 'nan'}), support=0.006399146780429276, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'herb & pepper', 'nan'}), items_add=frozenset({'ground beef'}), confidence=0.3934426229508197, lift=4.004359721511667)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'nan', 'ground beef', 'milk'}), support=0.004932675643247567, ordered_statistics=[OrderedStatistic(items_base=frozenset({'nan', 'ground beef', 'milk'}), items_add=frozenset({'olive oil'}), confidence=0.22424242424242427, lift=3.40494417862839)]),\n",
       " RelationRecord(items=frozenset({'nan', 'ground beef', 'milk', 'soup'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef', 'nan', 'soup'}), items_add=frozenset({'milk'}), confidence=0.4109589041095891, lift=3.1714019956029094)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'spaghetti', 'mineral water', 'ground beef'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil', 'mineral water', 'spaghetti'}), items_add=frozenset({'ground beef'}), confidence=0.2987012987012987, lift=3.0401064335935435)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'mineral water', 'ground beef', 'tomatoes'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'ground beef', 'tomatoes'}), items_add=frozenset({'spaghetti'}), confidence=0.5609756097560976, lift=3.221958689724723), OrderedStatistic(items_base=frozenset({'mineral water', 'spaghetti', 'tomatoes'}), items_add=frozenset({'ground beef'}), confidence=0.32857142857142857, lift=3.344117076952898)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'pepper', 'ground beef', 'nan'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'pepper', 'nan'}), items_add=frozenset({'ground beef'}), confidence=0.33783783783783783, lift=3.4384282518610876)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'ground beef', 'nan', 'shrimp'}), support=0.005999200106652446, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef', 'nan', 'shrimp'}), items_add=frozenset({'spaghetti'}), confidence=0.5232558139534884, lift=3.005315360233627)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'tomato sauce', 'ground beef', 'nan'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'tomato sauce', 'ground beef', 'nan'}), items_add=frozenset({'spaghetti'}), confidence=0.5750000000000001, lift=3.3025076569678413), OrderedStatistic(items_base=frozenset({'spaghetti', 'tomato sauce', 'nan'}), items_add=frozenset({'ground beef'}), confidence=0.4893617021276596, lift=4.980599901844742)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'mineral water', 'spaghetti', 'milk'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'spaghetti', 'milk'}), items_add=frozenset({'olive oil'}), confidence=0.211864406779661, lift=3.216993755575379)]),\n",
       " RelationRecord(items=frozenset({'mineral water', 'spaghetti', 'tomatoes', 'milk'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'spaghetti', 'milk'}), items_add=frozenset({'tomatoes'}), confidence=0.211864406779661, lift=3.0978458387022165)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'nan', 'milk', 'shrimp'}), support=0.003199573390214638, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil', 'nan', 'shrimp'}), items_add=frozenset({'milk'}), confidence=0.39999999999999997, lift=3.0868312757201646)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'nan', 'milk', 'soup'}), support=0.0035995200639914677, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil', 'nan', 'milk'}), items_add=frozenset({'soup'}), confidence=0.2109375, lift=4.174781497361478), OrderedStatistic(items_base=frozenset({'nan', 'milk', 'soup'}), items_add=frozenset({'olive oil'}), confidence=0.23684210526315788, lift=3.5962603878116344), OrderedStatistic(items_base=frozenset({'olive oil', 'nan', 'soup'}), items_add=frozenset({'milk'}), confidence=0.4029850746268656, lift=3.1098673300165833)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'olive oil', 'nan', 'milk'}), support=0.007199040127982935, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'nan', 'milk'}), items_add=frozenset({'olive oil'}), confidence=0.20300751879699247, lift=3.0825089038385434)]),\n",
       " RelationRecord(items=frozenset({'tomatoes', 'nan', 'milk', 'soup'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'tomatoes', 'nan', 'milk'}), items_add=frozenset({'soup'}), confidence=0.21904761904761905, lift=4.335293378565146), OrderedStatistic(items_base=frozenset({'nan', 'tomatoes', 'soup'}), items_add=frozenset({'milk'}), confidence=0.44230769230769235, lift=3.4133230452674903)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'whole wheat pasta', 'nan', 'milk'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'nan', 'whole wheat pasta'}), items_add=frozenset({'milk'}), confidence=0.4545454545454546, lift=3.5077628133183696)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'mineral water', 'nan', 'soup'}), support=0.005199306759098787, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'nan', 'soup'}), items_add=frozenset({'olive oil'}), confidence=0.22543352601156072, lift=3.4230301186492245)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'mineral water', 'nan', 'whole wheat pasta'}), support=0.0038661511798426876, ordered_statistics=[OrderedStatistic(items_base=frozenset({'whole wheat pasta', 'mineral water', 'nan'}), items_add=frozenset({'olive oil'}), confidence=0.4027777777777778, lift=6.115862573099416)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'pancakes', 'olive oil', 'nan'}), support=0.005065991201173177, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'pancakes', 'nan'}), items_add=frozenset({'olive oil'}), confidence=0.20105820105820105, lift=3.0529100529100526)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'olive oil', 'nan', 'tomatoes'}), support=0.004399413411545127, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil', 'nan', 'tomatoes'}), items_add=frozenset({'spaghetti'}), confidence=0.6111111111111112, lift=3.5099115194827295), OrderedStatistic(items_base=frozenset({'spaghetti', 'nan', 'tomatoes'}), items_add=frozenset({'olive oil'}), confidence=0.21019108280254778, lift=3.19158565202816)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'nan', 'tomatoes', 'whole wheat rice'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'nan', 'whole wheat rice'}), items_add=frozenset({'tomatoes'}), confidence=0.2169811320754717, lift=3.1726617382029496)]),\n",
       " RelationRecord(items=frozenset({'eggs', 'chocolate', 'mineral water', 'ground beef', 'nan'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'eggs', 'chocolate', 'mineral water', 'nan'}), items_add=frozenset({'ground beef'}), confidence=0.29702970297029707, lift=3.023093354111531)]),\n",
       " RelationRecord(items=frozenset({'chocolate', 'mineral water', 'ground beef', 'nan', 'frozen vegetables'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'mineral water', 'nan', 'frozen vegetables'}), items_add=frozenset({'ground beef'}), confidence=0.34246575342465757, lift=3.4855300087358976), OrderedStatistic(items_base=frozenset({'chocolate', 'mineral water', 'ground beef', 'nan'}), items_add=frozenset({'frozen vegetables'}), confidence=0.30487804878048785, lift=3.1984478935698455)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'chocolate', 'ground beef', 'nan', 'frozen vegetables'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'ground beef', 'nan', 'frozen vegetables'}), items_add=frozenset({'spaghetti'}), confidence=0.5348837209302326, lift=3.0721001460165964), OrderedStatistic(items_base=frozenset({'spaghetti', 'chocolate', 'nan', 'frozen vegetables'}), items_add=frozenset({'ground beef'}), confidence=0.3898305084745763, lift=3.967596531978015), OrderedStatistic(items_base=frozenset({'spaghetti', 'chocolate', 'ground beef', 'nan'}), items_add=frozenset({'frozen vegetables'}), confidence=0.33333333333333337, lift=3.4969696969696975)]),\n",
       " RelationRecord(items=frozenset({'chocolate', 'mineral water', 'nan', 'milk', 'frozen vegetables'}), support=0.003999466737768298, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'mineral water', 'nan', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.4109589041095891, lift=3.1714019956029094)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'chocolate', 'nan', 'milk', 'frozen vegetables'}), support=0.0034662045060658577, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'chocolate', 'nan', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.44067796610169485, lift=3.4007463207086555), OrderedStatistic(items_base=frozenset({'spaghetti', 'chocolate', 'nan', 'milk'}), items_add=frozenset({'frozen vegetables'}), confidence=0.3170731707317073, lift=3.3263858093126384)]),\n",
       " RelationRecord(items=frozenset({'chocolate', 'shrimp', 'mineral water', 'nan', 'frozen vegetables'}), support=0.003199573390214638, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate', 'mineral water', 'nan', 'frozen vegetables'}), items_add=frozenset({'shrimp'}), confidence=0.32876712328767127, lift=4.600899611531385), OrderedStatistic(items_base=frozenset({'chocolate', 'mineral water', 'nan', 'shrimp'}), items_add=frozenset({'frozen vegetables'}), confidence=0.4210526315789474, lift=4.417224880382776)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'chocolate', 'spaghetti', 'mineral water', 'nan'}), support=0.0038661511798426876, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'chocolate', 'mineral water', 'nan'}), items_add=frozenset({'olive oil'}), confidence=0.2436974789915966, lift=3.700353825740822)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'chocolate', 'mineral water', 'nan', 'shrimp'}), support=0.0034662045060658577, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'chocolate', 'mineral water', 'nan'}), items_add=frozenset({'shrimp'}), confidence=0.21848739495798317, lift=3.0576006522011783)]),\n",
       " RelationRecord(items=frozenset({'eggs', 'mineral water', 'nan', 'milk', 'frozen vegetables'}), support=0.0037328356219170776, ordered_statistics=[OrderedStatistic(items_base=frozenset({'eggs', 'mineral water', 'nan', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.411764705882353, lift=3.177620430888405)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'mineral water', 'frozen smoothie', 'nan', 'milk'}), support=0.003199573390214638, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'mineral water', 'frozen smoothie', 'nan'}), items_add=frozenset({'milk'}), confidence=0.4705882352941177, lift=3.631566206729606), OrderedStatistic(items_base=frozenset({'spaghetti', 'mineral water', 'nan', 'milk'}), items_add=frozenset({'frozen smoothie'}), confidence=0.2033898305084746, lift=3.211846565566459)]),\n",
       " RelationRecord(items=frozenset({'nan', 'mineral water', 'ground beef', 'milk', 'frozen vegetables'}), support=0.0037328356219170776, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'ground beef', 'nan', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.40579710144927533, lift=3.1315679608755294), OrderedStatistic(items_base=frozenset({'mineral water', 'nan', 'milk', 'frozen vegetables'}), items_add=frozenset({'ground beef'}), confidence=0.3373493975903614, lift=3.4334570302921317), OrderedStatistic(items_base=frozenset({'nan', 'mineral water', 'ground beef', 'milk'}), items_add=frozenset({'frozen vegetables'}), confidence=0.3373493975903614, lift=3.539101861993428)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'nan', 'ground beef', 'milk', 'frozen vegetables'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'nan', 'ground beef', 'milk', 'frozen vegetables'}), items_add=frozenset({'spaghetti'}), confidence=0.5348837209302326, lift=3.0721001460165964), OrderedStatistic(items_base=frozenset({'spaghetti', 'nan', 'milk', 'frozen vegetables'}), items_add=frozenset({'ground beef'}), confidence=0.3709677419354839, lift=3.7756160546242397), OrderedStatistic(items_base=frozenset({'spaghetti', 'nan', 'ground beef', 'milk'}), items_add=frozenset({'frozen vegetables'}), confidence=0.3150684931506849, lift=3.305354919053549)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'mineral water', 'ground beef', 'nan', 'frozen vegetables'}), support=0.004399413411545127, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'mineral water', 'nan', 'frozen vegetables'}), items_add=frozenset({'ground beef'}), confidence=0.3666666666666667, lift=3.7318407960199007)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'mineral water', 'nan', 'milk', 'frozen vegetables'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'nan', 'milk', 'frozen vegetables'}), items_add=frozenset({'olive oil'}), confidence=0.30120481927710846, lift=4.573557387444516), OrderedStatistic(items_base=frozenset({'olive oil', 'mineral water', 'nan', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.5102040816326531, lift=3.937284790459394), OrderedStatistic(items_base=frozenset({'olive oil', 'mineral water', 'nan', 'milk'}), items_add=frozenset({'frozen vegetables'}), confidence=0.39062500000000006, lift=4.098011363636364)]),\n",
       " RelationRecord(items=frozenset({'soup', 'mineral water', 'nan', 'milk', 'frozen vegetables'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'nan', 'milk', 'frozen vegetables'}), items_add=frozenset({'soup'}), confidence=0.27710843373493976, lift=5.484407286136631), OrderedStatistic(items_base=frozenset({'soup', 'nan', 'milk', 'frozen vegetables'}), items_add=frozenset({'mineral water'}), confidence=0.7666666666666666, lift=3.21631245339299), OrderedStatistic(items_base=frozenset({'soup', 'mineral water', 'nan', 'frozen vegetables'}), items_add=frozenset({'milk'}), confidence=0.6052631578947368, lift=4.670863114576565), OrderedStatistic(items_base=frozenset({'mineral water', 'nan', 'milk', 'soup'}), items_add=frozenset({'frozen vegetables'}), confidence=0.35937500000000006, lift=3.7701704545454553)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'mineral water', 'nan', 'milk', 'frozen vegetables'}), support=0.004532728969470737, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'mineral water', 'nan', 'milk'}), items_add=frozenset({'frozen vegetables'}), confidence=0.28813559322033894, lift=3.0228043143297376)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'shrimp', 'mineral water', 'nan', 'frozen vegetables'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'mineral water', 'nan', 'frozen vegetables'}), items_add=frozenset({'shrimp'}), confidence=0.2777777777777778, lift=3.8873341625207294), OrderedStatistic(items_base=frozenset({'spaghetti', 'mineral water', 'nan', 'shrimp'}), items_add=frozenset({'frozen vegetables'}), confidence=0.39062500000000006, lift=4.098011363636364)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'mineral water', 'nan', 'tomatoes', 'frozen vegetables'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'mineral water', 'nan', 'frozen vegetables'}), items_add=frozenset({'tomatoes'}), confidence=0.2555555555555556, lift=3.7366904916612524), OrderedStatistic(items_base=frozenset({'mineral water', 'nan', 'tomatoes', 'frozen vegetables'}), items_add=frozenset({'spaghetti'}), confidence=0.5227272727272727, lift=3.0022796881525826), OrderedStatistic(items_base=frozenset({'spaghetti', 'mineral water', 'nan', 'tomatoes'}), items_add=frozenset({'frozen vegetables'}), confidence=0.32857142857142857, lift=3.447012987012987)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'spaghetti', 'mineral water', 'ground beef', 'nan'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil', 'spaghetti', 'mineral water', 'nan'}), items_add=frozenset({'ground beef'}), confidence=0.2987012987012987, lift=3.0401064335935435)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'mineral water', 'ground beef', 'tomatoes', 'nan'}), support=0.0030662578322890282, ordered_statistics=[OrderedStatistic(items_base=frozenset({'mineral water', 'ground beef', 'tomatoes', 'nan'}), items_add=frozenset({'spaghetti'}), confidence=0.5609756097560976, lift=3.221958689724723), OrderedStatistic(items_base=frozenset({'spaghetti', 'mineral water', 'nan', 'tomatoes'}), items_add=frozenset({'ground beef'}), confidence=0.32857142857142857, lift=3.344117076952898)]),\n",
       " RelationRecord(items=frozenset({'olive oil', 'spaghetti', 'mineral water', 'nan', 'milk'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'mineral water', 'nan', 'milk'}), items_add=frozenset({'olive oil'}), confidence=0.211864406779661, lift=3.216993755575379)]),\n",
       " RelationRecord(items=frozenset({'spaghetti', 'mineral water', 'nan', 'tomatoes', 'milk'}), support=0.003332888948140248, ordered_statistics=[OrderedStatistic(items_base=frozenset({'spaghetti', 'mineral water', 'nan', 'milk'}), items_add=frozenset({'tomatoes'}), confidence=0.211864406779661, lift=3.0978458387022165)])]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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