apriori MarketBasketAnalysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from mlxtend.frequent_patterns import apriori\n",
    "from mlxtend.frequent_patterns import association_rules\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>536527</td>\n",
       "      <td>22809</td>\n",
       "      <td>SET OF 6 T-LIGHTS SANTA</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 13:04</td>\n",
       "      <td>2.95</td>\n",
       "      <td>12662</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>536527</td>\n",
       "      <td>84347</td>\n",
       "      <td>ROTATING SILVER ANGELS T-LIGHT HLDR</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 13:04</td>\n",
       "      <td>2.55</td>\n",
       "      <td>12662</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>536527</td>\n",
       "      <td>84945</td>\n",
       "      <td>MULTI COLOUR SILVER T-LIGHT HOLDER</td>\n",
       "      <td>12</td>\n",
       "      <td>12/1/2010 13:04</td>\n",
       "      <td>0.85</td>\n",
       "      <td>12662</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>536527</td>\n",
       "      <td>22242</td>\n",
       "      <td>5 HOOK HANGER MAGIC TOADSTOOL</td>\n",
       "      <td>12</td>\n",
       "      <td>12/1/2010 13:04</td>\n",
       "      <td>1.65</td>\n",
       "      <td>12662</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>536527</td>\n",
       "      <td>22244</td>\n",
       "      <td>3 HOOK HANGER MAGIC GARDEN</td>\n",
       "      <td>12</td>\n",
       "      <td>12/1/2010 13:04</td>\n",
       "      <td>1.95</td>\n",
       "      <td>12662</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    536527     22809              SET OF 6 T-LIGHTS SANTA         6   \n",
       "1    536527     84347  ROTATING SILVER ANGELS T-LIGHT HLDR         6   \n",
       "2    536527     84945   MULTI COLOUR SILVER T-LIGHT HOLDER        12   \n",
       "3    536527     22242        5 HOOK HANGER MAGIC TOADSTOOL        12   \n",
       "4    536527     22244           3 HOOK HANGER MAGIC GARDEN        12   \n",
       "\n",
       "       InvoiceDate  UnitPrice  CustomerID  Country  \n",
       "0  12/1/2010 13:04       2.95       12662  Germany  \n",
       "1  12/1/2010 13:04       2.55       12662  Germany  \n",
       "2  12/1/2010 13:04       0.85       12662  Germany  \n",
       "3  12/1/2010 13:04       1.65       12662  Germany  \n",
       "4  12/1/2010 13:04       1.95       12662  Germany  "
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('OnlineRetailShopGermany.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9495, 8)"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "InvoiceNo       object\n",
       "StockCode       object\n",
       "Description     object\n",
       "Quantity         int64\n",
       "InvoiceDate     object\n",
       "UnitPrice      float64\n",
       "CustomerID       int64\n",
       "Country         object\n",
       "dtype: object"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n"
     ]
    }
   ],
   "source": [
    "print (df.isnull().values.any())\n",
    "#print (df.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "InvoiceNo      0\n",
      "StockCode      0\n",
      "Description    0\n",
      "Quantity       0\n",
      "InvoiceDate    0\n",
      "UnitPrice      0\n",
      "CustomerID     0\n",
      "Country        0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "missing_value = [\"NaN\", \"NONE\", \"None\", \"nan\", \"none\", \"n/a\", \"na\", \" \"]\n",
    "df = pd.read_csv('OnlineRetailShopGermany.csv', na_values = missing_value)\n",
    "print (df.isnull().sum())\n",
    "# print (len(df[df.Description.isin(missing_value)]))\n",
    "# df[df.Description.isin(missing_value)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Description'] = df['Description'].str.strip() #removes spaces from beginning and end"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "POSTAGE                               0.040337\n",
       "ROUND SNACK BOXES SET OF4 WOODLAND    0.012638\n",
       "REGENCY CAKESTAND 3 TIER              0.008531\n",
       "ROUND SNACK BOXES SET OF 4 FRUITS     0.008215\n",
       "PLASTERS IN TIN WOODLAND ANIMALS      0.007056\n",
       "WOODLAND CHARLOTTE BAG                0.006214\n",
       "PLASTERS IN TIN CIRCUS PARADE         0.006003\n",
       "PLASTERS IN TIN SPACEBOY              0.005371\n",
       "6 RIBBONS RUSTIC CHARM                0.005266\n",
       "SPACEBOY LUNCH BOX                    0.005055\n",
       "Name: Description, dtype: float64"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ranking the top 10 best-selling items\n",
    "df.Description.value_counts(normalize=True)[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9112, 8)"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop(df[df['Description'] == 'POSTAGE'].index, inplace = True)\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Outliers\n",
    "# quantile1, quantile3= np.percentile(df['Quantity'],[20,80])\n",
    "# print(quantile1,quantile3)\n",
    "\n",
    "# # IQR\n",
    "# iqr_value=quantile3-quantile1\n",
    "# print(iqr_value)\n",
    "\n",
    "# # lower bound value and higher bound value\n",
    "# lower_bound_val = quantile1 -(1.5 * iqr_value) \n",
    "# upper_bound_val = quantile3 +(1.5 * iqr_value)\n",
    "# print(lower_bound_val,upper_bound_val)\n",
    "\n",
    "# df['Quantity'] = np.where(df['Quantity']>=upper_bound_val, np.nan, df['Quantity'])\n",
    "# df['Quantity'] = np.where(df['Quantity']<=lower_bound_val-1, np.nan, df['Quantity'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Select duplicate rows except first occurrence based on all columns\n",
    "duplicateRows = df[df.duplicated()]\n",
    "# print(duplicateRows.head())\n",
    "df = df.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Item'), Text(0, 0.5, 'Percentage')]"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create a bar chart, rank by percentage\n",
    "df.Description.value_counts(normalize=True)[:30].plot(kind=\"bar\", figsize=(10,5), title=\"Percentage of Sales by Item\").set(xlabel=\"Item\", ylabel=\"Percentage\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Item'), Text(0, 0.5, 'Total Number')]"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create a bar chart, rank by value\n",
    "df.Description.value_counts()[:30].plot(kind=\"bar\", figsize=(10,5), title=\"Total Number of Sales by Item\").set(xlabel=\"Item\", ylabel=\"Total Number\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = (df.groupby(['InvoiceNo', 'Description'])['Quantity']\n",
    "          .sum().unstack().reset_index().fillna(0)\n",
    "          .set_index('InvoiceNo'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Description</th>\n",
       "      <th>10 COLOUR SPACEBOY PEN</th>\n",
       "      <th>12 COLOURED PARTY BALLOONS</th>\n",
       "      <th>12 IVORY ROSE PEG PLACE SETTINGS</th>\n",
       "      <th>12 MESSAGE CARDS WITH ENVELOPES</th>\n",
       "      <th>12 PENCIL SMALL TUBE WOODLAND</th>\n",
       "      <th>12 PENCILS SMALL TUBE RED RETROSPOT</th>\n",
       "      <th>12 PENCILS SMALL TUBE SKULL</th>\n",
       "      <th>12 PENCILS TALL TUBE POSY</th>\n",
       "      <th>12 PENCILS TALL TUBE RED RETROSPOT</th>\n",
       "      <th>12 PENCILS TALL TUBE SKULLS</th>\n",
       "      <th>...</th>\n",
       "      <th>YULETIDE IMAGES GIFT WRAP SET</th>\n",
       "      <th>ZINC  HEART T-LIGHT HOLDER</th>\n",
       "      <th>ZINC  STAR T-LIGHT HOLDER</th>\n",
       "      <th>ZINC BOX SIGN HOME</th>\n",
       "      <th>ZINC FOLKART SLEIGH BELLS</th>\n",
       "      <th>ZINC HEART LATTICE T-LIGHT HOLDER</th>\n",
       "      <th>ZINC METAL HEART DECORATION</th>\n",
       "      <th>ZINC T-LIGHT HOLDER STAR LARGE</th>\n",
       "      <th>ZINC T-LIGHT HOLDER STARS SMALL</th>\n",
       "      <th>ZINC WILLIE WINKIE  CANDLE STICK</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>536527</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 1700 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Description  10 COLOUR SPACEBOY PEN  12 COLOURED PARTY BALLOONS  \\\n",
       "InvoiceNo                                                         \n",
       "536527                          0.0                         0.0   \n",
       "536840                          0.0                         0.0   \n",
       "536861                          0.0                         0.0   \n",
       "536967                          0.0                         0.0   \n",
       "536983                          0.0                         0.0   \n",
       "\n",
       "Description  12 IVORY ROSE PEG PLACE SETTINGS  \\\n",
       "InvoiceNo                                       \n",
       "536527                                    0.0   \n",
       "536840                                    0.0   \n",
       "536861                                    0.0   \n",
       "536967                                    0.0   \n",
       "536983                                    0.0   \n",
       "\n",
       "Description  12 MESSAGE CARDS WITH ENVELOPES  12 PENCIL SMALL TUBE WOODLAND  \\\n",
       "InvoiceNo                                                                     \n",
       "536527                                   0.0                            0.0   \n",
       "536840                                   0.0                            0.0   \n",
       "536861                                   0.0                            0.0   \n",
       "536967                                   0.0                            0.0   \n",
       "536983                                   0.0                            0.0   \n",
       "\n",
       "Description  12 PENCILS SMALL TUBE RED RETROSPOT  12 PENCILS SMALL TUBE SKULL  \\\n",
       "InvoiceNo                                                                       \n",
       "536527                                       0.0                          0.0   \n",
       "536840                                       0.0                          0.0   \n",
       "536861                                       0.0                          0.0   \n",
       "536967                                       0.0                          0.0   \n",
       "536983                                       0.0                          0.0   \n",
       "\n",
       "Description  12 PENCILS TALL TUBE POSY  12 PENCILS TALL TUBE RED RETROSPOT  \\\n",
       "InvoiceNo                                                                    \n",
       "536527                             0.0                                 0.0   \n",
       "536840                             0.0                                 0.0   \n",
       "536861                             0.0                                 0.0   \n",
       "536967                             0.0                                 0.0   \n",
       "536983                             0.0                                 0.0   \n",
       "\n",
       "Description  12 PENCILS TALL TUBE SKULLS  ...  YULETIDE IMAGES GIFT WRAP SET  \\\n",
       "InvoiceNo                                 ...                                  \n",
       "536527                               0.0  ...                            0.0   \n",
       "536840                               0.0  ...                            0.0   \n",
       "536861                               0.0  ...                            0.0   \n",
       "536967                               0.0  ...                            0.0   \n",
       "536983                               0.0  ...                            0.0   \n",
       "\n",
       "Description  ZINC  HEART T-LIGHT HOLDER  ZINC  STAR T-LIGHT HOLDER  \\\n",
       "InvoiceNo                                                            \n",
       "536527                              0.0                        0.0   \n",
       "536840                              0.0                        0.0   \n",
       "536861                              0.0                        0.0   \n",
       "536967                              0.0                        0.0   \n",
       "536983                              0.0                        0.0   \n",
       "\n",
       "Description  ZINC BOX SIGN HOME  ZINC FOLKART SLEIGH BELLS  \\\n",
       "InvoiceNo                                                    \n",
       "536527                      0.0                        0.0   \n",
       "536840                      0.0                        0.0   \n",
       "536861                      0.0                        0.0   \n",
       "536967                      0.0                        0.0   \n",
       "536983                      0.0                        0.0   \n",
       "\n",
       "Description  ZINC HEART LATTICE T-LIGHT HOLDER  ZINC METAL HEART DECORATION  \\\n",
       "InvoiceNo                                                                     \n",
       "536527                                     0.0                          0.0   \n",
       "536840                                     0.0                          0.0   \n",
       "536861                                     0.0                          0.0   \n",
       "536967                                     0.0                          0.0   \n",
       "536983                                     0.0                          0.0   \n",
       "\n",
       "Description  ZINC T-LIGHT HOLDER STAR LARGE  ZINC T-LIGHT HOLDER STARS SMALL  \\\n",
       "InvoiceNo                                                                      \n",
       "536527                                  0.0                              0.0   \n",
       "536840                                  0.0                              0.0   \n",
       "536861                                  0.0                              0.0   \n",
       "536967                                  0.0                              0.0   \n",
       "536983                                  0.0                              0.0   \n",
       "\n",
       "Description  ZINC WILLIE WINKIE  CANDLE STICK  \n",
       "InvoiceNo                                      \n",
       "536527                                    0.0  \n",
       "536840                                    0.0  \n",
       "536861                                    0.0  \n",
       "536967                                    0.0  \n",
       "536983                                    0.0  \n",
       "\n",
       "[5 rows x 1700 columns]"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [],
   "source": [
    "def convertToZeroOne(x):\n",
    "    if x <= 0:\n",
    "        return 0\n",
    "    if x >= 1:\n",
    "        return 1\n",
    "\n",
    "df3 = df2.applymap(convertToZeroOne)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [
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       "      <th>10 COLOUR SPACEBOY PEN</th>\n",
       "      <th>12 COLOURED PARTY BALLOONS</th>\n",
       "      <th>12 IVORY ROSE PEG PLACE SETTINGS</th>\n",
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       "      <th>ZINC  HEART T-LIGHT HOLDER</th>\n",
       "      <th>ZINC  STAR T-LIGHT HOLDER</th>\n",
       "      <th>ZINC BOX SIGN HOME</th>\n",
       "      <th>ZINC FOLKART SLEIGH BELLS</th>\n",
       "      <th>ZINC HEART LATTICE T-LIGHT HOLDER</th>\n",
       "      <th>ZINC METAL HEART DECORATION</th>\n",
       "      <th>ZINC T-LIGHT HOLDER STAR LARGE</th>\n",
       "      <th>ZINC T-LIGHT HOLDER STARS SMALL</th>\n",
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       "</table>\n",
       "<p>5 rows × 1700 columns</p>\n",
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      ],
      "text/plain": [
       "Description  10 COLOUR SPACEBOY PEN  12 COLOURED PARTY BALLOONS  \\\n",
       "InvoiceNo                                                         \n",
       "536527                            0                           0   \n",
       "536840                            0                           0   \n",
       "536861                            0                           0   \n",
       "536967                            0                           0   \n",
       "536983                            0                           0   \n",
       "\n",
       "Description  12 IVORY ROSE PEG PLACE SETTINGS  \\\n",
       "InvoiceNo                                       \n",
       "536527                                      0   \n",
       "536840                                      0   \n",
       "536861                                      0   \n",
       "536967                                      0   \n",
       "536983                                      0   \n",
       "\n",
       "Description  12 MESSAGE CARDS WITH ENVELOPES  12 PENCIL SMALL TUBE WOODLAND  \\\n",
       "InvoiceNo                                                                     \n",
       "536527                                     0                              0   \n",
       "536840                                     0                              0   \n",
       "536861                                     0                              0   \n",
       "536967                                     0                              0   \n",
       "536983                                     0                              0   \n",
       "\n",
       "Description  12 PENCILS SMALL TUBE RED RETROSPOT  12 PENCILS SMALL TUBE SKULL  \\\n",
       "InvoiceNo                                                                       \n",
       "536527                                         0                            0   \n",
       "536840                                         0                            0   \n",
       "536861                                         0                            0   \n",
       "536967                                         0                            0   \n",
       "536983                                         0                            0   \n",
       "\n",
       "Description  12 PENCILS TALL TUBE POSY  12 PENCILS TALL TUBE RED RETROSPOT  \\\n",
       "InvoiceNo                                                                    \n",
       "536527                               0                                   0   \n",
       "536840                               0                                   0   \n",
       "536861                               0                                   0   \n",
       "536967                               0                                   0   \n",
       "536983                               0                                   0   \n",
       "\n",
       "Description  12 PENCILS TALL TUBE SKULLS  ...  YULETIDE IMAGES GIFT WRAP SET  \\\n",
       "InvoiceNo                                 ...                                  \n",
       "536527                                 0  ...                              0   \n",
       "536840                                 0  ...                              0   \n",
       "536861                                 0  ...                              0   \n",
       "536967                                 0  ...                              0   \n",
       "536983                                 0  ...                              0   \n",
       "\n",
       "Description  ZINC  HEART T-LIGHT HOLDER  ZINC  STAR T-LIGHT HOLDER  \\\n",
       "InvoiceNo                                                            \n",
       "536527                                0                          0   \n",
       "536840                                0                          0   \n",
       "536861                                0                          0   \n",
       "536967                                0                          0   \n",
       "536983                                0                          0   \n",
       "\n",
       "Description  ZINC BOX SIGN HOME  ZINC FOLKART SLEIGH BELLS  \\\n",
       "InvoiceNo                                                    \n",
       "536527                        0                          0   \n",
       "536840                        0                          0   \n",
       "536861                        0                          0   \n",
       "536967                        0                          0   \n",
       "536983                        0                          0   \n",
       "\n",
       "Description  ZINC HEART LATTICE T-LIGHT HOLDER  ZINC METAL HEART DECORATION  \\\n",
       "InvoiceNo                                                                     \n",
       "536527                                       0                            0   \n",
       "536840                                       0                            0   \n",
       "536861                                       0                            0   \n",
       "536967                                       0                            0   \n",
       "536983                                       0                            0   \n",
       "\n",
       "Description  ZINC T-LIGHT HOLDER STAR LARGE  ZINC T-LIGHT HOLDER STARS SMALL  \\\n",
       "InvoiceNo                                                                      \n",
       "536527                                    0                                0   \n",
       "536840                                    0                                0   \n",
       "536861                                    0                                0   \n",
       "536967                                    0                                0   \n",
       "536983                                    0                                0   \n",
       "\n",
       "Description  ZINC WILLIE WINKIE  CANDLE STICK  \n",
       "InvoiceNo                                      \n",
       "536527                                      0  \n",
       "536840                                      0  \n",
       "536861                                      0  \n",
       "536967                                      0  \n",
       "536983                                      0  \n",
       "\n",
       "[5 rows x 1700 columns]"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.079796</td>\n",
       "      <td>(6 RIBBONS RUSTIC CHARM)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.054329</td>\n",
       "      <td>(ALARM CLOCK BAKELIKE PINK)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.050934</td>\n",
       "      <td>(CHARLOTTE BAG APPLES DESIGN)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.047538</td>\n",
       "      <td>(COFFEE MUG APPLES DESIGN)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.049236</td>\n",
       "      <td>(FAWN BLUE HOT WATER BOTTLE)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.056027</td>\n",
       "      <td>(GUMBALL COAT RACK)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.044143</td>\n",
       "      <td>(IVORY KITCHEN SCALES)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.049236</td>\n",
       "      <td>(JAM JAR WITH PINK LID)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.071307</td>\n",
       "      <td>(JAM MAKING SET PRINTED)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.047538</td>\n",
       "      <td>(JUMBO BAG APPLES)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.061121</td>\n",
       "      <td>(JUMBO BAG RED RETROSPOT)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.078098</td>\n",
       "      <td>(JUMBO BAG WOODLAND ANIMALS)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.047538</td>\n",
       "      <td>(LUNCH BAG APPLE DESIGN)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.061121</td>\n",
       "      <td>(LUNCH BAG WOODLAND)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.049236</td>\n",
       "      <td>(LUNCH BOX WITH CUTLERY RETROSPOT)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.042445</td>\n",
       "      <td>(MEMO BOARD COTTAGE DESIGN)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.040747</td>\n",
       "      <td>(MINT KITCHEN SCALES)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.047538</td>\n",
       "      <td>(PACK OF 20 NAPKINS PANTRY DESIGN)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.045840</td>\n",
       "      <td>(PACK OF 20 NAPKINS RED APPLES)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.066214</td>\n",
       "      <td>(PACK OF 72 RETROSPOT CAKE CASES)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.089983</td>\n",
       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.083192</td>\n",
       "      <td>(PLASTERS IN TIN SPACEBOY)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.054329</td>\n",
       "      <td>(PLASTERS IN TIN STRONGMAN)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.106961</td>\n",
       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.042445</td>\n",
       "      <td>(RED KITCHEN SCALES)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.054329</td>\n",
       "      <td>(RED RETROSPOT CHARLOTTE BAG)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.054329</td>\n",
       "      <td>(RED RETROSPOT CUP)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.050934</td>\n",
       "      <td>(RED RETROSPOT MINI CASES)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.074703</td>\n",
       "      <td>(RED TOADSTOOL LED NIGHT LIGHT)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.106961</td>\n",
       "      <td>(REGENCY CAKESTAND 3 TIER)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.047538</td>\n",
       "      <td>(RETROSPOT PARTY BAG + STICKER SET)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0.044143</td>\n",
       "      <td>(RETROSPOT TEA SET CERAMIC 11 PC)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.122241</td>\n",
       "      <td>(ROUND SNACK BOXES SET OF 4 FRUITS)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>0.190153</td>\n",
       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>0.045840</td>\n",
       "      <td>(SET OF 3 CAKE TINS PANTRY DESIGN)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>0.054329</td>\n",
       "      <td>(SET OF 3 REGENCY CAKE TINS)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>0.044143</td>\n",
       "      <td>(SET OF 60 PANTRY DESIGN CAKE CASES)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>0.044143</td>\n",
       "      <td>(SET/20 RED RETROSPOT PAPER NAPKINS)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>0.040747</td>\n",
       "      <td>(SET/6 RED SPOTTY PAPER CUPS)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>0.044143</td>\n",
       "      <td>(SET/6 RED SPOTTY PAPER PLATES)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>0.044143</td>\n",
       "      <td>(SKULL LUNCH BOX WITH CUTLERY)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>0.079796</td>\n",
       "      <td>(SPACEBOY LUNCH BOX)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>0.040747</td>\n",
       "      <td>(STRAWBERRY CERAMIC TRINKET BOX)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>0.061121</td>\n",
       "      <td>(STRAWBERRY LUNCH BOX WITH CUTLERY)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>0.040747</td>\n",
       "      <td>(WHITE SPOT RED CERAMIC DRAWER KNOB)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>0.098472</td>\n",
       "      <td>(WOODLAND CHARLOTTE BAG)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>0.052632</td>\n",
       "      <td>(WOODLAND PARTY BAG + STICKER SET)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>0.052632</td>\n",
       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS, PLASTERS IN...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>0.044143</td>\n",
       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND, PLASTERS ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>0.047538</td>\n",
       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS, PLASTERS IN...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>0.057725</td>\n",
       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS, ROUND SNACK...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>0.045840</td>\n",
       "      <td>(RED RETROSPOT CHARLOTTE BAG, WOODLAND CHARLOT...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>0.101868</td>\n",
       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND, ROUND SNA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>0.054329</td>\n",
       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND, SPACEBOY ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>0.049236</td>\n",
       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND, WOODLAND ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     support                                           itemsets\n",
       "0   0.079796                           (6 RIBBONS RUSTIC CHARM)\n",
       "1   0.054329                        (ALARM CLOCK BAKELIKE PINK)\n",
       "2   0.050934                      (CHARLOTTE BAG APPLES DESIGN)\n",
       "3   0.047538                         (COFFEE MUG APPLES DESIGN)\n",
       "4   0.049236                       (FAWN BLUE HOT WATER BOTTLE)\n",
       "5   0.056027                                (GUMBALL COAT RACK)\n",
       "6   0.044143                             (IVORY KITCHEN SCALES)\n",
       "7   0.049236                            (JAM JAR WITH PINK LID)\n",
       "8   0.071307                           (JAM MAKING SET PRINTED)\n",
       "9   0.047538                                 (JUMBO BAG APPLES)\n",
       "10  0.061121                          (JUMBO BAG RED RETROSPOT)\n",
       "11  0.078098                       (JUMBO BAG WOODLAND ANIMALS)\n",
       "12  0.047538                           (LUNCH BAG APPLE DESIGN)\n",
       "13  0.061121                               (LUNCH BAG WOODLAND)\n",
       "14  0.049236                 (LUNCH BOX WITH CUTLERY RETROSPOT)\n",
       "15  0.042445                        (MEMO BOARD COTTAGE DESIGN)\n",
       "16  0.040747                              (MINT KITCHEN SCALES)\n",
       "17  0.047538                 (PACK OF 20 NAPKINS PANTRY DESIGN)\n",
       "18  0.045840                    (PACK OF 20 NAPKINS RED APPLES)\n",
       "19  0.066214                  (PACK OF 72 RETROSPOT CAKE CASES)\n",
       "20  0.089983                    (PLASTERS IN TIN CIRCUS PARADE)\n",
       "21  0.083192                         (PLASTERS IN TIN SPACEBOY)\n",
       "22  0.054329                        (PLASTERS IN TIN STRONGMAN)\n",
       "23  0.106961                 (PLASTERS IN TIN WOODLAND ANIMALS)\n",
       "24  0.042445                               (RED KITCHEN SCALES)\n",
       "25  0.054329                      (RED RETROSPOT CHARLOTTE BAG)\n",
       "26  0.054329                                (RED RETROSPOT CUP)\n",
       "27  0.050934                         (RED RETROSPOT MINI CASES)\n",
       "28  0.074703                    (RED TOADSTOOL LED NIGHT LIGHT)\n",
       "29  0.106961                         (REGENCY CAKESTAND 3 TIER)\n",
       "30  0.047538                (RETROSPOT PARTY BAG + STICKER SET)\n",
       "31  0.044143                  (RETROSPOT TEA SET CERAMIC 11 PC)\n",
       "32  0.122241                (ROUND SNACK BOXES SET OF 4 FRUITS)\n",
       "33  0.190153               (ROUND SNACK BOXES SET OF4 WOODLAND)\n",
       "34  0.045840                 (SET OF 3 CAKE TINS PANTRY DESIGN)\n",
       "35  0.054329                       (SET OF 3 REGENCY CAKE TINS)\n",
       "36  0.044143               (SET OF 60 PANTRY DESIGN CAKE CASES)\n",
       "37  0.044143               (SET/20 RED RETROSPOT PAPER NAPKINS)\n",
       "38  0.040747                      (SET/6 RED SPOTTY PAPER CUPS)\n",
       "39  0.044143                    (SET/6 RED SPOTTY PAPER PLATES)\n",
       "40  0.044143                     (SKULL LUNCH BOX WITH CUTLERY)\n",
       "41  0.079796                               (SPACEBOY LUNCH BOX)\n",
       "42  0.040747                   (STRAWBERRY CERAMIC TRINKET BOX)\n",
       "43  0.061121                (STRAWBERRY LUNCH BOX WITH CUTLERY)\n",
       "44  0.040747               (WHITE SPOT RED CERAMIC DRAWER KNOB)\n",
       "45  0.098472                           (WOODLAND CHARLOTTE BAG)\n",
       "46  0.052632                 (WOODLAND PARTY BAG + STICKER SET)\n",
       "47  0.052632  (PLASTERS IN TIN WOODLAND ANIMALS, PLASTERS IN...\n",
       "48  0.044143  (ROUND SNACK BOXES SET OF4 WOODLAND, PLASTERS ...\n",
       "49  0.047538  (PLASTERS IN TIN WOODLAND ANIMALS, PLASTERS IN...\n",
       "50  0.057725  (PLASTERS IN TIN WOODLAND ANIMALS, ROUND SNACK...\n",
       "51  0.045840  (RED RETROSPOT CHARLOTTE BAG, WOODLAND CHARLOT...\n",
       "52  0.101868  (ROUND SNACK BOXES SET OF4 WOODLAND, ROUND SNA...\n",
       "53  0.054329  (ROUND SNACK BOXES SET OF4 WOODLAND, SPACEBOY ...\n",
       "54  0.049236  (ROUND SNACK BOXES SET OF4 WOODLAND, WOODLAND ..."
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "start_time = time.time()\n",
    "frequent_itemsets = apriori(df3, min_support=0.04, use_colnames=True)\n",
    "end_time = time.time()\n",
    "frequent_itemsets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>antecedents</th>\n",
       "      <th>consequents</th>\n",
       "      <th>antecedent support</th>\n",
       "      <th>consequent support</th>\n",
       "      <th>support</th>\n",
       "      <th>confidence</th>\n",
       "      <th>lift</th>\n",
       "      <th>leverage</th>\n",
       "      <th>conviction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
       "      <td>0.106961</td>\n",
       "      <td>0.089983</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>0.492063</td>\n",
       "      <td>5.468404</td>\n",
       "      <td>0.043007</td>\n",
       "      <td>1.791596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
       "      <td>0.089983</td>\n",
       "      <td>0.106961</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>0.584906</td>\n",
       "      <td>5.468404</td>\n",
       "      <td>0.043007</td>\n",
       "      <td>2.151412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
       "      <td>0.190153</td>\n",
       "      <td>0.089983</td>\n",
       "      <td>0.044143</td>\n",
       "      <td>0.232143</td>\n",
       "      <td>2.579852</td>\n",
       "      <td>0.027032</td>\n",
       "      <td>1.185138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
       "      <td>0.089983</td>\n",
       "      <td>0.190153</td>\n",
       "      <td>0.044143</td>\n",
       "      <td>0.490566</td>\n",
       "      <td>2.579852</td>\n",
       "      <td>0.027032</td>\n",
       "      <td>1.589700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
       "      <td>(PLASTERS IN TIN SPACEBOY)</td>\n",
       "      <td>0.106961</td>\n",
       "      <td>0.083192</td>\n",
       "      <td>0.047538</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>5.342404</td>\n",
       "      <td>0.038640</td>\n",
       "      <td>1.650255</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            antecedents                           consequents  \\\n",
       "0    (PLASTERS IN TIN WOODLAND ANIMALS)       (PLASTERS IN TIN CIRCUS PARADE)   \n",
       "1       (PLASTERS IN TIN CIRCUS PARADE)    (PLASTERS IN TIN WOODLAND ANIMALS)   \n",
       "2  (ROUND SNACK BOXES SET OF4 WOODLAND)       (PLASTERS IN TIN CIRCUS PARADE)   \n",
       "3       (PLASTERS IN TIN CIRCUS PARADE)  (ROUND SNACK BOXES SET OF4 WOODLAND)   \n",
       "4    (PLASTERS IN TIN WOODLAND ANIMALS)            (PLASTERS IN TIN SPACEBOY)   \n",
       "\n",
       "   antecedent support  consequent support   support  confidence      lift  \\\n",
       "0            0.106961            0.089983  0.052632    0.492063  5.468404   \n",
       "1            0.089983            0.106961  0.052632    0.584906  5.468404   \n",
       "2            0.190153            0.089983  0.044143    0.232143  2.579852   \n",
       "3            0.089983            0.190153  0.044143    0.490566  2.579852   \n",
       "4            0.106961            0.083192  0.047538    0.444444  5.342404   \n",
       "\n",
       "   leverage  conviction  \n",
       "0  0.043007    1.791596  \n",
       "1  0.043007    2.151412  \n",
       "2  0.027032    1.185138  \n",
       "3  0.027032    1.589700  \n",
       "4  0.038640    1.650255  "
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rules = association_rules(frequent_itemsets, metric=\"lift\", min_threshold=1)\n",
    "rules.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>antecedents</th>\n",
       "      <th>consequents</th>\n",
       "      <th>antecedent support</th>\n",
       "      <th>consequent support</th>\n",
       "      <th>support</th>\n",
       "      <th>confidence</th>\n",
       "      <th>lift</th>\n",
       "      <th>leverage</th>\n",
       "      <th>conviction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
       "      <td>0.106961</td>\n",
       "      <td>0.089983</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>0.492063</td>\n",
       "      <td>5.468404</td>\n",
       "      <td>0.043007</td>\n",
       "      <td>1.791596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
       "      <td>0.089983</td>\n",
       "      <td>0.106961</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>0.584906</td>\n",
       "      <td>5.468404</td>\n",
       "      <td>0.043007</td>\n",
       "      <td>2.151412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
       "      <td>0.089983</td>\n",
       "      <td>0.190153</td>\n",
       "      <td>0.044143</td>\n",
       "      <td>0.490566</td>\n",
       "      <td>2.579852</td>\n",
       "      <td>0.027032</td>\n",
       "      <td>1.589700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
       "      <td>(PLASTERS IN TIN SPACEBOY)</td>\n",
       "      <td>0.106961</td>\n",
       "      <td>0.083192</td>\n",
       "      <td>0.047538</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>5.342404</td>\n",
       "      <td>0.038640</td>\n",
       "      <td>1.650255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>(PLASTERS IN TIN SPACEBOY)</td>\n",
       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
       "      <td>0.083192</td>\n",
       "      <td>0.106961</td>\n",
       "      <td>0.047538</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>5.342404</td>\n",
       "      <td>0.038640</td>\n",
       "      <td>2.083758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
       "      <td>0.106961</td>\n",
       "      <td>0.190153</td>\n",
       "      <td>0.057725</td>\n",
       "      <td>0.539683</td>\n",
       "      <td>2.838152</td>\n",
       "      <td>0.037386</td>\n",
       "      <td>1.759323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
       "      <td>0.190153</td>\n",
       "      <td>0.106961</td>\n",
       "      <td>0.057725</td>\n",
       "      <td>0.303571</td>\n",
       "      <td>2.838152</td>\n",
       "      <td>0.037386</td>\n",
       "      <td>1.282312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>(RED RETROSPOT CHARLOTTE BAG)</td>\n",
       "      <td>(WOODLAND CHARLOTTE BAG)</td>\n",
       "      <td>0.054329</td>\n",
       "      <td>0.098472</td>\n",
       "      <td>0.045840</td>\n",
       "      <td>0.843750</td>\n",
       "      <td>8.568427</td>\n",
       "      <td>0.040490</td>\n",
       "      <td>5.769779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>(WOODLAND CHARLOTTE BAG)</td>\n",
       "      <td>(RED RETROSPOT CHARLOTTE BAG)</td>\n",
       "      <td>0.098472</td>\n",
       "      <td>0.054329</td>\n",
       "      <td>0.045840</td>\n",
       "      <td>0.465517</td>\n",
       "      <td>8.568427</td>\n",
       "      <td>0.040490</td>\n",
       "      <td>1.769319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
       "      <td>(ROUND SNACK BOXES SET OF 4 FRUITS)</td>\n",
       "      <td>0.190153</td>\n",
       "      <td>0.122241</td>\n",
       "      <td>0.101868</td>\n",
       "      <td>0.535714</td>\n",
       "      <td>4.382440</td>\n",
       "      <td>0.078623</td>\n",
       "      <td>1.890558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>(ROUND SNACK BOXES SET OF 4 FRUITS)</td>\n",
       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
       "      <td>0.122241</td>\n",
       "      <td>0.190153</td>\n",
       "      <td>0.101868</td>\n",
       "      <td>0.833333</td>\n",
       "      <td>4.382440</td>\n",
       "      <td>0.078623</td>\n",
       "      <td>4.859083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>(SPACEBOY LUNCH BOX)</td>\n",
       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
       "      <td>0.079796</td>\n",
       "      <td>0.190153</td>\n",
       "      <td>0.054329</td>\n",
       "      <td>0.680851</td>\n",
       "      <td>3.580547</td>\n",
       "      <td>0.039156</td>\n",
       "      <td>2.537521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>(WOODLAND CHARLOTTE BAG)</td>\n",
       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
       "      <td>0.098472</td>\n",
       "      <td>0.190153</td>\n",
       "      <td>0.049236</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>2.629464</td>\n",
       "      <td>0.030511</td>\n",
       "      <td>1.619694</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             antecedents  \\\n",
       "0     (PLASTERS IN TIN WOODLAND ANIMALS)   \n",
       "1        (PLASTERS IN TIN CIRCUS PARADE)   \n",
       "3        (PLASTERS IN TIN CIRCUS PARADE)   \n",
       "4     (PLASTERS IN TIN WOODLAND ANIMALS)   \n",
       "5             (PLASTERS IN TIN SPACEBOY)   \n",
       "6     (PLASTERS IN TIN WOODLAND ANIMALS)   \n",
       "7   (ROUND SNACK BOXES SET OF4 WOODLAND)   \n",
       "8          (RED RETROSPOT CHARLOTTE BAG)   \n",
       "9               (WOODLAND CHARLOTTE BAG)   \n",
       "10  (ROUND SNACK BOXES SET OF4 WOODLAND)   \n",
       "11   (ROUND SNACK BOXES SET OF 4 FRUITS)   \n",
       "13                  (SPACEBOY LUNCH BOX)   \n",
       "15              (WOODLAND CHARLOTTE BAG)   \n",
       "\n",
       "                             consequents  antecedent support  \\\n",
       "0        (PLASTERS IN TIN CIRCUS PARADE)            0.106961   \n",
       "1     (PLASTERS IN TIN WOODLAND ANIMALS)            0.089983   \n",
       "3   (ROUND SNACK BOXES SET OF4 WOODLAND)            0.089983   \n",
       "4             (PLASTERS IN TIN SPACEBOY)            0.106961   \n",
       "5     (PLASTERS IN TIN WOODLAND ANIMALS)            0.083192   \n",
       "6   (ROUND SNACK BOXES SET OF4 WOODLAND)            0.106961   \n",
       "7     (PLASTERS IN TIN WOODLAND ANIMALS)            0.190153   \n",
       "8               (WOODLAND CHARLOTTE BAG)            0.054329   \n",
       "9          (RED RETROSPOT CHARLOTTE BAG)            0.098472   \n",
       "10   (ROUND SNACK BOXES SET OF 4 FRUITS)            0.190153   \n",
       "11  (ROUND SNACK BOXES SET OF4 WOODLAND)            0.122241   \n",
       "13  (ROUND SNACK BOXES SET OF4 WOODLAND)            0.079796   \n",
       "15  (ROUND SNACK BOXES SET OF4 WOODLAND)            0.098472   \n",
       "\n",
       "    consequent support   support  confidence      lift  leverage  conviction  \n",
       "0             0.089983  0.052632    0.492063  5.468404  0.043007    1.791596  \n",
       "1             0.106961  0.052632    0.584906  5.468404  0.043007    2.151412  \n",
       "3             0.190153  0.044143    0.490566  2.579852  0.027032    1.589700  \n",
       "4             0.083192  0.047538    0.444444  5.342404  0.038640    1.650255  \n",
       "5             0.106961  0.047538    0.571429  5.342404  0.038640    2.083758  \n",
       "6             0.190153  0.057725    0.539683  2.838152  0.037386    1.759323  \n",
       "7             0.106961  0.057725    0.303571  2.838152  0.037386    1.282312  \n",
       "8             0.098472  0.045840    0.843750  8.568427  0.040490    5.769779  \n",
       "9             0.054329  0.045840    0.465517  8.568427  0.040490    1.769319  \n",
       "10            0.122241  0.101868    0.535714  4.382440  0.078623    1.890558  \n",
       "11            0.190153  0.101868    0.833333  4.382440  0.078623    4.859083  \n",
       "13            0.190153  0.054329    0.680851  3.580547  0.039156    2.537521  \n",
       "15            0.190153  0.049236    0.500000  2.629464  0.030511    1.619694  "
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Filtering rules based on condition\n",
    "rules[(rules['lift'] >= 0.5) & (rules['confidence'] >= 0.3)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Import seaborn under its standard alias\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "# Generate scatterplot using support and confidence\n",
    "sns.scatterplot(x = \"support\", y = \"confidence\", \n",
    "                size = \"lift\", data = rules)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.05188727378845215\n"
     ]
    }
   ],
   "source": [
    "print(end_time-start_time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}