{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d8389163",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-28T07:38:15.682484Z",
     "start_time": "2024-02-28T07:37:50.813485Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.read_excel('OnlineRetail.xlsx', header=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bc67ee34",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-28T07:38:15.695896Z",
     "start_time": "2024-02-28T07:38:15.683485Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "  InvoiceNo StockCode                          Description  Quantity  \\\n0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n1    536365     71053                  WHITE METAL LANTERN         6   \n2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n\n          InvoiceDate  UnitPrice  CustomerID         Country  \n0 2010-12-01 08:26:00       2.55     17850.0  United Kingdom  \n1 2010-12-01 08:26:00       3.39     17850.0  United Kingdom  \n2 2010-12-01 08:26:00       2.75     17850.0  United Kingdom  \n3 2010-12-01 08:26:00       3.39     17850.0  United Kingdom  \n4 2010-12-01 08:26:00       3.39     17850.0  United Kingdom  ",
      "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>536365</td>\n      <td>85123A</td>\n      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n      <td>6</td>\n      <td>2010-12-01 08:26:00</td>\n      <td>2.55</td>\n      <td>17850.0</td>\n      <td>United Kingdom</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>536365</td>\n      <td>71053</td>\n      <td>WHITE METAL LANTERN</td>\n      <td>6</td>\n      <td>2010-12-01 08:26:00</td>\n      <td>3.39</td>\n      <td>17850.0</td>\n      <td>United Kingdom</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>536365</td>\n      <td>84406B</td>\n      <td>CREAM CUPID HEARTS COAT HANGER</td>\n      <td>8</td>\n      <td>2010-12-01 08:26:00</td>\n      <td>2.75</td>\n      <td>17850.0</td>\n      <td>United Kingdom</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>536365</td>\n      <td>84029G</td>\n      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n      <td>6</td>\n      <td>2010-12-01 08:26:00</td>\n      <td>3.39</td>\n      <td>17850.0</td>\n      <td>United Kingdom</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>536365</td>\n      <td>84029E</td>\n      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n      <td>6</td>\n      <td>2010-12-01 08:26:00</td>\n      <td>3.39</td>\n      <td>17850.0</td>\n      <td>United Kingdom</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "373846a1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-28T07:38:15.700685Z",
     "start_time": "2024-02-28T07:38:15.696407Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "(541909, 8)"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9a377803",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-28T07:38:15.869792Z",
     "start_time": "2024-02-28T07:38:15.701684Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "            Quantity                    InvoiceDate      UnitPrice  \\\ncount  541909.000000                         541909  541909.000000   \nmean        9.552250  2011-07-04 13:34:57.156386048       4.611114   \nmin    -80995.000000            2010-12-01 08:26:00  -11062.060000   \n25%         1.000000            2011-03-28 11:34:00       1.250000   \n50%         3.000000            2011-07-19 17:17:00       2.080000   \n75%        10.000000            2011-10-19 11:27:00       4.130000   \nmax     80995.000000            2011-12-09 12:50:00   38970.000000   \nstd       218.081158                            NaN      96.759853   \n\n          CustomerID  \ncount  406829.000000  \nmean    15287.690570  \nmin     12346.000000  \n25%     13953.000000  \n50%     15152.000000  \n75%     16791.000000  \nmax     18287.000000  \nstd      1713.600303  ",
      "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>Quantity</th>\n      <th>InvoiceDate</th>\n      <th>UnitPrice</th>\n      <th>CustomerID</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>541909.000000</td>\n      <td>541909</td>\n      <td>541909.000000</td>\n      <td>406829.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>9.552250</td>\n      <td>2011-07-04 13:34:57.156386048</td>\n      <td>4.611114</td>\n      <td>15287.690570</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>-80995.000000</td>\n      <td>2010-12-01 08:26:00</td>\n      <td>-11062.060000</td>\n      <td>12346.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>1.000000</td>\n      <td>2011-03-28 11:34:00</td>\n      <td>1.250000</td>\n      <td>13953.000000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>3.000000</td>\n      <td>2011-07-19 17:17:00</td>\n      <td>2.080000</td>\n      <td>15152.000000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>10.000000</td>\n      <td>2011-10-19 11:27:00</td>\n      <td>4.130000</td>\n      <td>16791.000000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>80995.000000</td>\n      <td>2011-12-09 12:50:00</td>\n      <td>38970.000000</td>\n      <td>18287.000000</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>218.081158</td>\n      <td>NaN</td>\n      <td>96.759853</td>\n      <td>1713.600303</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "742d7691",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-28T07:38:15.876557Z",
     "start_time": "2024-02-28T07:38:15.869792Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "<bound method DataFrame.info of        InvoiceNo StockCode                          Description  Quantity  \\\n0         536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n1         536365     71053                  WHITE METAL LANTERN         6   \n2         536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n3         536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n4         536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n...          ...       ...                                  ...       ...   \n541904    581587     22613          PACK OF 20 SPACEBOY NAPKINS        12   \n541905    581587     22899         CHILDREN'S APRON DOLLY GIRL          6   \n541906    581587     23254        CHILDRENS CUTLERY DOLLY GIRL          4   \n541907    581587     23255      CHILDRENS CUTLERY CIRCUS PARADE         4   \n541908    581587     22138        BAKING SET 9 PIECE RETROSPOT          3   \n\n               InvoiceDate  UnitPrice  CustomerID         Country  \n0      2010-12-01 08:26:00       2.55     17850.0  United Kingdom  \n1      2010-12-01 08:26:00       3.39     17850.0  United Kingdom  \n2      2010-12-01 08:26:00       2.75     17850.0  United Kingdom  \n3      2010-12-01 08:26:00       3.39     17850.0  United Kingdom  \n4      2010-12-01 08:26:00       3.39     17850.0  United Kingdom  \n...                    ...        ...         ...             ...  \n541904 2011-12-09 12:50:00       0.85     12680.0          France  \n541905 2011-12-09 12:50:00       2.10     12680.0          France  \n541906 2011-12-09 12:50:00       4.15     12680.0          France  \n541907 2011-12-09 12:50:00       4.15     12680.0          France  \n541908 2011-12-09 12:50:00       4.95     12680.0          France  \n\n[541909 rows x 8 columns]>"
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5b5b8cdc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-28T07:38:15.882036Z",
     "start_time": "2024-02-28T07:38:15.877596Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "0         United Kingdom\n1         United Kingdom\n2         United Kingdom\n3         United Kingdom\n4         United Kingdom\n               ...      \n541904            France\n541905            France\n541906            France\n541907            France\n541908            France\nName: Country, Length: 541909, dtype: object"
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Country']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d4cc1311",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-28T07:38:15.900937Z",
     "start_time": "2024-02-28T07:38:15.883083Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "Country\nUnited Kingdom          495478\nGermany                   9495\nFrance                    8557\nEIRE                      8196\nSpain                     2533\nNetherlands               2371\nBelgium                   2069\nSwitzerland               2002\nPortugal                  1519\nAustralia                 1259\nNorway                    1086\nItaly                      803\nChannel Islands            758\nFinland                    695\nCyprus                     622\nSweden                     462\nUnspecified                446\nAustria                    401\nDenmark                    389\nJapan                      358\nPoland                     341\nIsrael                     297\nUSA                        291\nHong Kong                  288\nSingapore                  229\nIceland                    182\nCanada                     151\nGreece                     146\nMalta                      127\nUnited Arab Emirates        68\nEuropean Community          61\nRSA                         58\nLebanon                     45\nLithuania                   35\nBrazil                      32\nCzech Republic              30\nBahrain                     19\nSaudi Arabia                10\nName: count, dtype: int64"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Country\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7c38e8a1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-28T07:38:15.916952Z",
     "start_time": "2024-02-28T07:38:15.902031Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "True"
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated(subset=[\"InvoiceNo\"]).any()"
   ]
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "InvoiceNo           0\nStockCode           0\nDescription      1454\nQuantity            0\nInvoiceDate         0\nUnitPrice           0\nCustomerID     135080\nCountry             0\ndtype: int64"
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T07:39:55.201285Z",
     "start_time": "2024-02-28T07:39:55.151793Z"
    }
   },
   "id": "14992f9c11c510c4",
   "execution_count": 12
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "df['Description'] = df['Description'].str.strip()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T07:40:50.115934Z",
     "start_time": "2024-02-28T07:40:50.013818Z"
    }
   },
   "id": "192399a4012c02cd",
   "execution_count": 13
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "1455"
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Description'].isna().sum()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T07:41:06.743426Z",
     "start_time": "2024-02-28T07:41:06.723926Z"
    }
   },
   "id": "802455edc452f998",
   "execution_count": 14
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "df.dropna(axis=0, subset=['Description'], inplace=True)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T07:58:11.350821Z",
     "start_time": "2024-02-28T07:58:11.289749Z"
    }
   },
   "id": "5d16f91c978dec55",
   "execution_count": 15
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "(531166, 8)"
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['InvoiceNo'] = df['InvoiceNo'].astype('str')\n",
    "df = df[~df['InvoiceNo'].str.contains('C')]\n",
    "df.shape"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T08:00:14.192116Z",
     "start_time": "2024-02-28T08:00:14.054905Z"
    }
   },
   "id": "e3243a42ab0b019b",
   "execution_count": 18
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "(457, 1695)"
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_de = (df[df['Country'] ==\"Germany\"]               \n",
    "          .groupby(['InvoiceNo', 'Description'])['Quantity']\n",
    "          .sum()\n",
    "          .unstack()\n",
    "          .reset_index()\n",
    "          .fillna(0)\n",
    "          .set_index('InvoiceNo'))\n",
    "\n",
    "df_de.shape"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T08:52:18.640048Z",
     "start_time": "2024-02-28T08:52:18.602732Z"
    }
   },
   "id": "ce1d60ca48f883da",
   "execution_count": 19
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "Description  10 COLOUR SPACEBOY PEN  12 COLOURED PARTY BALLOONS  \\\nInvoiceNo                                                         \n536527                          0.0                         0.0   \n536840                          0.0                         0.0   \n536861                          0.0                         0.0   \n536967                          0.0                         0.0   \n536983                          0.0                         0.0   \n\nDescription  12 IVORY ROSE PEG PLACE SETTINGS  \\\nInvoiceNo                                       \n536527                                    0.0   \n536840                                    0.0   \n536861                                    0.0   \n536967                                    0.0   \n536983                                    0.0   \n\nDescription  12 MESSAGE CARDS WITH ENVELOPES  12 PENCIL SMALL TUBE WOODLAND  \\\nInvoiceNo                                                                     \n536527                                   0.0                            0.0   \n536840                                   0.0                            0.0   \n536861                                   0.0                            0.0   \n536967                                   0.0                            0.0   \n536983                                   0.0                            0.0   \n\nDescription  12 PENCILS SMALL TUBE RED RETROSPOT  12 PENCILS SMALL TUBE SKULL  \\\nInvoiceNo                                                                       \n536527                                       0.0                          0.0   \n536840                                       0.0                          0.0   \n536861                                       0.0                          0.0   \n536967                                       0.0                          0.0   \n536983                                       0.0                          0.0   \n\nDescription  12 PENCILS TALL TUBE POSY  12 PENCILS TALL TUBE RED RETROSPOT  \\\nInvoiceNo                                                                    \n536527                             0.0                                 0.0   \n536840                             0.0                                 0.0   \n536861                             0.0                                 0.0   \n536967                             0.0                                 0.0   \n536983                             0.0                                 0.0   \n\nDescription  12 PENCILS TALL TUBE SKULLS  ...  YULETIDE IMAGES GIFT WRAP SET  \\\nInvoiceNo                                 ...                                  \n536527                               0.0  ...                            0.0   \n536840                               0.0  ...                            0.0   \n536861                               0.0  ...                            0.0   \n536967                               0.0  ...                            0.0   \n536983                               0.0  ...                            0.0   \n\nDescription  ZINC  HEART T-LIGHT HOLDER  ZINC  STAR T-LIGHT HOLDER  \\\nInvoiceNo                                                            \n536527                              0.0                        0.0   \n536840                              0.0                        0.0   \n536861                              0.0                        0.0   \n536967                              0.0                        0.0   \n536983                              0.0                        0.0   \n\nDescription  ZINC BOX SIGN HOME  ZINC FOLKART SLEIGH BELLS  \\\nInvoiceNo                                                    \n536527                      0.0                        0.0   \n536840                      0.0                        0.0   \n536861                      0.0                        0.0   \n536967                      0.0                        0.0   \n536983                      0.0                        0.0   \n\nDescription  ZINC HEART LATTICE T-LIGHT HOLDER  ZINC METAL HEART DECORATION  \\\nInvoiceNo                                                                     \n536527                                     0.0                          0.0   \n536840                                     0.0                          0.0   \n536861                                     0.0                          0.0   \n536967                                     0.0                          0.0   \n536983                                     0.0                          0.0   \n\nDescription  ZINC T-LIGHT HOLDER STAR LARGE  ZINC T-LIGHT HOLDER STARS SMALL  \\\nInvoiceNo                                                                      \n536527                                  0.0                              0.0   \n536840                                  0.0                              0.0   \n536861                                  0.0                              0.0   \n536967                                  0.0                              0.0   \n536983                                  0.0                              0.0   \n\nDescription  ZINC WILLIE WINKIE  CANDLE STICK  \nInvoiceNo                                      \n536527                                    0.0  \n536840                                    0.0  \n536861                                    0.0  \n536967                                    0.0  \n536983                                    0.0  \n\n[5 rows x 1695 columns]",
      "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      <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    </tr>\n    <tr>\n      <th>536840</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      <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    </tr>\n    <tr>\n      <th>536861</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      <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    </tr>\n    <tr>\n      <th>536967</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      <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    </tr>\n    <tr>\n      <th>536983</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      <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    </tr>\n  </tbody>\n</table>\n<p>5 rows × 1695 columns</p>\n</div>"
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_de.head()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T08:52:31.825461Z",
     "start_time": "2024-02-28T08:52:31.813514Z"
    }
   },
   "id": "e4247c5f2563b3ed",
   "execution_count": 20
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "Description  10 COLOUR SPACEBOY PEN  12 COLOURED PARTY BALLOONS  \\\nInvoiceNo                                                         \n536527                            0                           0   \n536840                            0                           0   \n536861                            0                           0   \n536967                            0                           0   \n536983                            0                           0   \n\nDescription  12 IVORY ROSE PEG PLACE SETTINGS  \\\nInvoiceNo                                       \n536527                                      0   \n536840                                      0   \n536861                                      0   \n536967                                      0   \n536983                                      0   \n\nDescription  12 MESSAGE CARDS WITH ENVELOPES  12 PENCIL SMALL TUBE WOODLAND  \\\nInvoiceNo                                                                     \n536527                                     0                              0   \n536840                                     0                              0   \n536861                                     0                              0   \n536967                                     0                              0   \n536983                                     0                              0   \n\nDescription  12 PENCILS SMALL TUBE RED RETROSPOT  12 PENCILS SMALL TUBE SKULL  \\\nInvoiceNo                                                                       \n536527                                         0                            0   \n536840                                         0                            0   \n536861                                         0                            0   \n536967                                         0                            0   \n536983                                         0                            0   \n\nDescription  12 PENCILS TALL TUBE POSY  12 PENCILS TALL TUBE RED RETROSPOT  \\\nInvoiceNo                                                                    \n536527                               0                                   0   \n536840                               0                                   0   \n536861                               0                                   0   \n536967                               0                                   0   \n536983                               0                                   0   \n\nDescription  12 PENCILS TALL TUBE SKULLS  ...  YULETIDE IMAGES GIFT WRAP SET  \\\nInvoiceNo                                 ...                                  \n536527                                 0  ...                              0   \n536840                                 0  ...                              0   \n536861                                 0  ...                              0   \n536967                                 0  ...                              0   \n536983                                 0  ...                              0   \n\nDescription  ZINC  HEART T-LIGHT HOLDER  ZINC  STAR T-LIGHT HOLDER  \\\nInvoiceNo                                                            \n536527                                0                          0   \n536840                                0                          0   \n536861                                0                          0   \n536967                                0                          0   \n536983                                0                          0   \n\nDescription  ZINC BOX SIGN HOME  ZINC FOLKART SLEIGH BELLS  \\\nInvoiceNo                                                    \n536527                        0                          0   \n536840                        0                          0   \n536861                        0                          0   \n536967                        0                          0   \n536983                        0                          0   \n\nDescription  ZINC HEART LATTICE T-LIGHT HOLDER  ZINC METAL HEART DECORATION  \\\nInvoiceNo                                                                     \n536527                                       0                            0   \n536840                                       0                            0   \n536861                                       0                            0   \n536967                                       0                            0   \n536983                                       0                            0   \n\nDescription  ZINC T-LIGHT HOLDER STAR LARGE  ZINC T-LIGHT HOLDER STARS SMALL  \\\nInvoiceNo                                                                      \n536527                                    0                                0   \n536840                                    0                                0   \n536861                                    0                                0   \n536967                                    0                                0   \n536983                                    0                                0   \n\nDescription  ZINC WILLIE WINKIE  CANDLE STICK  \nInvoiceNo                                      \n536527                                      0  \n536840                                      0  \n536861                                      0  \n536967                                      0  \n536983                                      0  \n\n[5 rows x 1695 columns]",
      "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</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>536840</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>536861</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>536967</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>536983</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 1695 columns</p>\n</div>"
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def encode_units(x):\n",
    "    if x <= 0:\n",
    "        return 0\n",
    "    if x >= 1:\n",
    "        return 1\n",
    "\n",
    "df_de_sets = df_de.map(encode_units)\n",
    "df_de_sets.head()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T09:01:47.204060Z",
     "start_time": "2024-02-28T09:01:47.033821Z"
    }
   },
   "id": "807fccc143c6b7d4",
   "execution_count": 22
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Daming\\scoop\\apps\\python\\current\\Lib\\site-packages\\mlxtend\\frequent_patterns\\fpcommon.py:109: DeprecationWarning: DataFrames with non-bool types result in worse computationalperformance and their support might be discontinued in the future.Please use a DataFrame with bool type\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": "     support                                           itemsets\n0   0.102845                           (6 RIBBONS RUSTIC CHARM)\n1   0.070022                        (ALARM CLOCK BAKELIKE PINK)\n2   0.072210                                (GUMBALL COAT RACK)\n3   0.091904                           (JAM MAKING SET PRINTED)\n4   0.078775                          (JUMBO BAG RED RETROSPOT)\n5   0.100656                       (JUMBO BAG WOODLAND ANIMALS)\n6   0.078775                               (LUNCH BAG WOODLAND)\n7   0.085339                  (PACK OF 72 RETROSPOT CAKE CASES)\n8   0.115974                    (PLASTERS IN TIN CIRCUS PARADE)\n9   0.107221                         (PLASTERS IN TIN SPACEBOY)\n10  0.070022                        (PLASTERS IN TIN STRONGMAN)\n11  0.137856                 (PLASTERS IN TIN WOODLAND ANIMALS)\n12  0.818381                                          (POSTAGE)\n13  0.070022                      (RED RETROSPOT CHARLOTTE BAG)\n14  0.070022                                (RED RETROSPOT CUP)\n15  0.096280                    (RED TOADSTOOL LED NIGHT LIGHT)\n16  0.137856                         (REGENCY CAKESTAND 3 TIER)\n17  0.157549                (ROUND SNACK BOXES SET OF 4 FRUITS)\n18  0.245077               (ROUND SNACK BOXES SET OF4 WOODLAND)\n19  0.070022                       (SET OF 3 REGENCY CAKE TINS)\n20  0.102845                               (SPACEBOY LUNCH BOX)\n21  0.078775                (STRAWBERRY LUNCH BOX WITH CUTLERY)\n22  0.126915                           (WOODLAND CHARLOTTE BAG)\n23  0.091904                  (6 RIBBONS RUSTIC CHARM, POSTAGE)\n24  0.074398                  (JAM MAKING SET PRINTED, POSTAGE)\n25  0.087527              (JUMBO BAG WOODLAND ANIMALS, POSTAGE)\n26  0.100656           (PLASTERS IN TIN CIRCUS PARADE, POSTAGE)\n27  0.100656                (PLASTERS IN TIN SPACEBOY, POSTAGE)\n28  0.118162        (PLASTERS IN TIN WOODLAND ANIMALS, POSTAGE)\n29  0.074398  (ROUND SNACK BOXES SET OF4 WOODLAND, PLASTERS ...\n30  0.080963           (RED TOADSTOOL LED NIGHT LIGHT, POSTAGE)\n31  0.120350                (REGENCY CAKESTAND 3 TIER, POSTAGE)\n32  0.150985       (ROUND SNACK BOXES SET OF 4 FRUITS, POSTAGE)\n33  0.225383      (ROUND SNACK BOXES SET OF4 WOODLAND, POSTAGE)\n34  0.091904                      (SPACEBOY LUNCH BOX, POSTAGE)\n35  0.115974                  (POSTAGE, WOODLAND CHARLOTTE BAG)\n36  0.131291  (ROUND SNACK BOXES SET OF 4 FRUITS, ROUND SNAC...\n37  0.070022  (ROUND SNACK BOXES SET OF4 WOODLAND, SPACEBOY ...\n38  0.124726  (ROUND SNACK BOXES SET OF 4 FRUITS, ROUND SNAC...",
      "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>support</th>\n      <th>itemsets</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0.102845</td>\n      <td>(6 RIBBONS RUSTIC CHARM)</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0.070022</td>\n      <td>(ALARM CLOCK BAKELIKE PINK)</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0.072210</td>\n      <td>(GUMBALL COAT RACK)</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0.091904</td>\n      <td>(JAM MAKING SET PRINTED)</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0.078775</td>\n      <td>(JUMBO BAG RED RETROSPOT)</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>0.100656</td>\n      <td>(JUMBO BAG WOODLAND ANIMALS)</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>0.078775</td>\n      <td>(LUNCH BAG WOODLAND)</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>0.085339</td>\n      <td>(PACK OF 72 RETROSPOT CAKE CASES)</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>0.115974</td>\n      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>0.107221</td>\n      <td>(PLASTERS IN TIN SPACEBOY)</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>0.070022</td>\n      <td>(PLASTERS IN TIN STRONGMAN)</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>0.137856</td>\n      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>0.818381</td>\n      <td>(POSTAGE)</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>0.070022</td>\n      <td>(RED RETROSPOT CHARLOTTE BAG)</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>0.070022</td>\n      <td>(RED RETROSPOT CUP)</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>0.096280</td>\n      <td>(RED TOADSTOOL LED NIGHT LIGHT)</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>0.137856</td>\n      <td>(REGENCY CAKESTAND 3 TIER)</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>0.157549</td>\n      <td>(ROUND SNACK BOXES SET OF 4 FRUITS)</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>0.245077</td>\n      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>0.070022</td>\n      <td>(SET OF 3 REGENCY CAKE TINS)</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>0.102845</td>\n      <td>(SPACEBOY LUNCH BOX)</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>0.078775</td>\n      <td>(STRAWBERRY LUNCH BOX WITH CUTLERY)</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>0.126915</td>\n      <td>(WOODLAND CHARLOTTE BAG)</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>0.091904</td>\n      <td>(6 RIBBONS RUSTIC CHARM, POSTAGE)</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>0.074398</td>\n      <td>(JAM MAKING SET PRINTED, POSTAGE)</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>0.087527</td>\n      <td>(JUMBO BAG WOODLAND ANIMALS, POSTAGE)</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>0.100656</td>\n      <td>(PLASTERS IN TIN CIRCUS PARADE, POSTAGE)</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>0.100656</td>\n      <td>(PLASTERS IN TIN SPACEBOY, POSTAGE)</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>0.118162</td>\n      <td>(PLASTERS IN TIN WOODLAND ANIMALS, POSTAGE)</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>0.074398</td>\n      <td>(ROUND SNACK BOXES SET OF4 WOODLAND, PLASTERS ...</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>0.080963</td>\n      <td>(RED TOADSTOOL LED NIGHT LIGHT, POSTAGE)</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>0.120350</td>\n      <td>(REGENCY CAKESTAND 3 TIER, POSTAGE)</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>0.150985</td>\n      <td>(ROUND SNACK BOXES SET OF 4 FRUITS, POSTAGE)</td>\n    </tr>\n    <tr>\n      <th>33</th>\n      <td>0.225383</td>\n      <td>(ROUND SNACK BOXES SET OF4 WOODLAND, POSTAGE)</td>\n    </tr>\n    <tr>\n      <th>34</th>\n      <td>0.091904</td>\n      <td>(SPACEBOY LUNCH BOX, POSTAGE)</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>0.115974</td>\n      <td>(POSTAGE, WOODLAND CHARLOTTE BAG)</td>\n    </tr>\n    <tr>\n      <th>36</th>\n      <td>0.131291</td>\n      <td>(ROUND SNACK BOXES SET OF 4 FRUITS, ROUND SNAC...</td>\n    </tr>\n    <tr>\n      <th>37</th>\n      <td>0.070022</td>\n      <td>(ROUND SNACK BOXES SET OF4 WOODLAND, SPACEBOY ...</td>\n    </tr>\n    <tr>\n      <th>38</th>\n      <td>0.124726</td>\n      <td>(ROUND SNACK BOXES SET OF 4 FRUITS, ROUND SNAC...</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from mlxtend.frequent_patterns import apriori\n",
    "\n",
    "df_Frequent_Itemsets = apriori(df_de_sets\n",
    "                            , min_support=0.07\n",
    "                            , use_colnames=True)\n",
    "df_Frequent_Itemsets\n",
    "\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T09:31:58.626891Z",
     "start_time": "2024-02-28T09:31:58.609867Z"
    }
   },
   "id": "201880b3fe13ab0e",
   "execution_count": 28
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "(39, 2)"
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_Frequent_Itemsets.shape"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T09:06:45.962716Z",
     "start_time": "2024-02-28T09:06:45.959347Z"
    }
   },
   "id": "364e7a230b0b1822",
   "execution_count": 24
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "                       antecedents                   consequents  \\\n0         (6 RIBBONS RUSTIC CHARM)                     (POSTAGE)   \n1                        (POSTAGE)      (6 RIBBONS RUSTIC CHARM)   \n2     (JUMBO BAG WOODLAND ANIMALS)                     (POSTAGE)   \n3                        (POSTAGE)  (JUMBO BAG WOODLAND ANIMALS)   \n4  (PLASTERS IN TIN CIRCUS PARADE)                     (POSTAGE)   \n\n   antecedent support  consequent support   support  confidence      lift  \\\n0            0.102845            0.818381  0.091904    0.893617  1.091933   \n1            0.818381            0.102845  0.091904    0.112299  1.091933   \n2            0.100656            0.818381  0.087527    0.869565  1.062544   \n3            0.818381            0.100656  0.087527    0.106952  1.062544   \n4            0.115974            0.818381  0.100656    0.867925  1.060539   \n\n   leverage  conviction  zhangs_metric  \n0  0.007738    1.707221       0.093844  \n1  0.007738    1.010651       0.463569  \n2  0.005152    1.392414       0.065450  \n3  0.005152    1.007049       0.324096  \n4  0.005746    1.375117       0.064572  ",
      "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      <th>zhangs_metric</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>(6 RIBBONS RUSTIC CHARM)</td>\n      <td>(POSTAGE)</td>\n      <td>0.102845</td>\n      <td>0.818381</td>\n      <td>0.091904</td>\n      <td>0.893617</td>\n      <td>1.091933</td>\n      <td>0.007738</td>\n      <td>1.707221</td>\n      <td>0.093844</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>(POSTAGE)</td>\n      <td>(6 RIBBONS RUSTIC CHARM)</td>\n      <td>0.818381</td>\n      <td>0.102845</td>\n      <td>0.091904</td>\n      <td>0.112299</td>\n      <td>1.091933</td>\n      <td>0.007738</td>\n      <td>1.010651</td>\n      <td>0.463569</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>(JUMBO BAG WOODLAND ANIMALS)</td>\n      <td>(POSTAGE)</td>\n      <td>0.100656</td>\n      <td>0.818381</td>\n      <td>0.087527</td>\n      <td>0.869565</td>\n      <td>1.062544</td>\n      <td>0.005152</td>\n      <td>1.392414</td>\n      <td>0.065450</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>(POSTAGE)</td>\n      <td>(JUMBO BAG WOODLAND ANIMALS)</td>\n      <td>0.818381</td>\n      <td>0.100656</td>\n      <td>0.087527</td>\n      <td>0.106952</td>\n      <td>1.062544</td>\n      <td>0.005152</td>\n      <td>1.007049</td>\n      <td>0.324096</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n      <td>(POSTAGE)</td>\n      <td>0.115974</td>\n      <td>0.818381</td>\n      <td>0.100656</td>\n      <td>0.867925</td>\n      <td>1.060539</td>\n      <td>0.005746</td>\n      <td>1.375117</td>\n      <td>0.064572</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from mlxtend.frequent_patterns import association_rules\n",
    "\n",
    "df_AssociationRules = association_rules(df_Frequent_Itemsets\n",
    "                                        , metric=\"lift\"\n",
    "                                        , min_threshold=1)\n",
    "df_AssociationRules.head()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T09:07:29.743069Z",
     "start_time": "2024-02-28T09:07:29.733576Z"
    }
   },
   "id": "d4c9131c77fdc880",
   "execution_count": 25
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "                                     antecedents  \\\n24           (ROUND SNACK BOXES SET OF 4 FRUITS)   \n29  (ROUND SNACK BOXES SET OF 4 FRUITS, POSTAGE)   \n\n                             consequents  antecedent support  \\\n24  (ROUND SNACK BOXES SET OF4 WOODLAND)            0.157549   \n29  (ROUND SNACK BOXES SET OF4 WOODLAND)            0.150985   \n\n    consequent support   support  confidence      lift  leverage  conviction  \\\n24            0.245077  0.131291    0.833333  3.400298  0.092679     4.52954   \n29            0.245077  0.124726    0.826087  3.370730  0.087724     4.34081   \n\n    zhangs_metric  \n24       0.837922  \n29       0.828405  ",
      "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      <th>zhangs_metric</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>24</th>\n      <td>(ROUND SNACK BOXES SET OF 4 FRUITS)</td>\n      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n      <td>0.157549</td>\n      <td>0.245077</td>\n      <td>0.131291</td>\n      <td>0.833333</td>\n      <td>3.400298</td>\n      <td>0.092679</td>\n      <td>4.52954</td>\n      <td>0.837922</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>(ROUND SNACK BOXES SET OF 4 FRUITS, POSTAGE)</td>\n      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n      <td>0.150985</td>\n      <td>0.245077</td>\n      <td>0.124726</td>\n      <td>0.826087</td>\n      <td>3.370730</td>\n      <td>0.087724</td>\n      <td>4.34081</td>\n      <td>0.828405</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_A= df_AssociationRules[(df_AssociationRules['lift'] >= 2) &\n",
    "       (df_AssociationRules['confidence'] >= 0.8) ]\n",
    "df_A"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T09:10:06.163813Z",
     "start_time": "2024-02-28T09:10:06.152727Z"
    }
   },
   "id": "2ec1bfa5621f7326",
   "execution_count": 26
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "sns.scatterplot(x = \"support\"\n",
    "                , y = \"confidence\"\n",
    "                , size = \"lift\"\n",
    "                , data = df_AssociationRules)\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-02-28T09:10:24.410928Z",
     "start_time": "2024-02-28T09:10:24.277270Z"
    }
   },
   "id": "812f864d292074de",
   "execution_count": 27
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   },
   "id": "1ba3d127d747b70d"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}