Market_Basket_Analysis (3).ipynb

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    "colab": {
      "name": "Market Basket Analysis.ipynb",
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      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
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        "id": "lmuUe_DItRfC",
        "outputId": "b43c87f7-2087-421d-93c2-6e491129f209"
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          "text": [
            "Collecting apyori\n",
            "  Downloading apyori-1.1.2.tar.gz (8.6 kB)\n",
            "Building wheels for collected packages: apyori\n",
            "  Building wheel for apyori (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for apyori: filename=apyori-1.1.2-py3-none-any.whl size=5974 sha256=2cddf6cb4a08c86d50bfa67ad2a57b0e89cfebc327bd928a3d30a952ab277adb\n",
            "  Stored in directory: /root/.cache/pip/wheels/cb/f6/e1/57973c631d27efd1a2f375bd6a83b2a616c4021f24aab84080\n",
            "Successfully built apyori\n",
            "Installing collected packages: apyori\n",
            "Successfully installed apyori-1.1.2\n"
          ]
        }
      ],
      "source": [
        "!pip install apyori"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from mlxtend.frequent_patterns import apriori\n",
        "from mlxtend.frequent_patterns import association_rules"
      ],
      "metadata": {
        "id": "VlT6jHkTvEUT"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# EDA"
      ],
      "metadata": {
        "id": "r7n0vUQK0xLs"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('https://raw.githubusercontent.com/vaasu2002/Market-Basket-Analysis/main/dataset.csv')\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "K3KrApq4vHDx",
        "outputId": "f05d1417-b854-4a8c-f364-5a5c0e83aa45"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>memberNumber</th>\n",
              "      <th>Date</th>\n",
              "      <th>itemDescription</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1808</td>\n",
              "      <td>21-07-2015</td>\n",
              "      <td>tropical fruit</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1808</td>\n",
              "      <td>21-07-2015</td>\n",
              "      <td>candy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2300</td>\n",
              "      <td>19-09-2015</td>\n",
              "      <td>pip fruit</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1187</td>\n",
              "      <td>12-12-2015</td>\n",
              "      <td>other vegetables</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>3037</td>\n",
              "      <td>01-02-2015</td>\n",
              "      <td>whole milk</td>\n",
              "    </tr>\n",
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              "                                                     [key], {});\n",
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              "  "
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            "text/plain": [
              "   memberNumber        Date   itemDescription\n",
              "0          1808  21-07-2015    tropical fruit\n",
              "1          1808  21-07-2015             candy\n",
              "2          2300  19-09-2015         pip fruit\n",
              "3          1187  12-12-2015  other vegetables\n",
              "4          3037  01-02-2015        whole milk"
            ]
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      "cell_type": "code",
      "source": [
        "print(f\"Number of rows:- {df.shape[0]}\")"
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        "id": "eCrJI6pFvOc5",
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      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Number of rows:- 38765\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
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        "outputId": "41c52396-f29b-4b72-f4df-570dfe67516a"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 38765 entries, 0 to 38764\n",
            "Data columns (total 3 columns):\n",
            " #   Column           Non-Null Count  Dtype \n",
            "---  ------           --------------  ----- \n",
            " 0   memberNumber     38765 non-null  int64 \n",
            " 1   Date             38765 non-null  object\n",
            " 2   itemDescription  38765 non-null  object\n",
            "dtypes: int64(1), object(2)\n",
            "memory usage: 908.7+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
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        "colab": {
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        },
        "id": "EXSUbvhmvluD",
        "outputId": "8e7de8fc-8200-45a4-a472-ef6fc3420c7d"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "memberNumber       0\n",
              "Date               0\n",
              "itemDescription    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Year'] = pd.DatetimeIndex(df['Date']).year\n",
        "df['Month'] = pd.DatetimeIndex(df['Date']).month\n",
        "df['Day'] = pd.DatetimeIndex(df['Date']).day"
      ],
      "metadata": {
        "id": "GODfMuX_xkJR"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
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              "      <td>2015</td>\n",
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              "      <td>12</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>3037</td>\n",
              "      <td>01-02-2015</td>\n",
              "      <td>whole milk</td>\n",
              "      <td>2015</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
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              "  </tbody>\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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            ],
            "text/plain": [
              "   memberNumber        Date   itemDescription  Year  Month  Day\n",
              "0          1808  21-07-2015    tropical fruit  2015      7   21\n",
              "1          1808  21-07-2015             candy  2015      7   21\n",
              "2          2300  19-09-2015         pip fruit  2015      9   19\n",
              "3          1187  12-12-2015  other vegetables  2015     12   12\n",
              "4          3037  01-02-2015        whole milk  2015      1    2"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Which of the items are the top selling item?"
      ],
      "metadata": {
        "id": "tyu7p9ipyNcE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.itemDescription.value_counts().head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fcongMftyLqy",
        "outputId": "b20edb78-1b0d-40e2-e28b-fe5b1fb5e6ee"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "whole milk          2502\n",
              "other vegetables    1898\n",
              "rolls/buns          1715\n",
              "soda                1514\n",
              "yogurt              1334\n",
              "root vegetables     1071\n",
              "tropical fruit      1032\n",
              "bottled water        933\n",
              "sausage              924\n",
              "citrus fruit         812\n",
              "Name: itemDescription, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8,8))\n",
        "df.itemDescription.value_counts().head(10).plot.bar()\n",
        "plt.title('Top 10 selling products')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 590
        },
        "id": "io_aDOURyLth",
        "outputId": "c5f6dc74-1775-4527-d70d-7541001659c8"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Top 10 selling products')"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Which of the items are 10 least selling items?"
      ],
      "metadata": {
        "id": "ChvcrY1Wy-eu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.itemDescription.value_counts().tail(10).sort_values()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hancWdqpyFy4",
        "outputId": "b63dea92-6302-4337-849b-760094b88823"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "preservation products    1\n",
              "kitchen utensil          1\n",
              "baby cosmetics           3\n",
              "bags                     4\n",
              "toilet cleaner           5\n",
              "frozen chicken           5\n",
              "rubbing alcohol          5\n",
              "make up remover          5\n",
              "salad dressing           6\n",
              "whisky                   8\n",
              "Name: itemDescription, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8,8))\n",
        "df.itemDescription.value_counts().tail(10).sort_values().plot.bar()\n",
        "plt.title('Top 10 least Selling items')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 615
        },
        "id": "YN3yYPayzF9u",
        "outputId": "d4dbef2c-2336-4892-e646-63287a49e76f"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Top 10 least Selling items')"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Top 10 customers"
      ],
      "metadata": {
        "id": "cicWp9BfzRiY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.memberNumber.value_counts().head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZN_fYfrzzJoc",
        "outputId": "1580a57c-f0ea-41da-88e5-becbd4464b52"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3180    36\n",
              "3050    33\n",
              "2051    33\n",
              "3737    33\n",
              "2433    31\n",
              "3915    31\n",
              "2625    31\n",
              "2271    31\n",
              "3872    30\n",
              "2394    29\n",
              "Name: memberNumber, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10,10))\n",
        "df.memberNumber.value_counts().head(10).plot.bar()\n",
        "plt.title('top 10 customers')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 640
        },
        "id": "8U5huJmFzUhJ",
        "outputId": "27d6fd11-c363-45d5-e5c0-9e510ce16ddc"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'top 10 customers')"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "## Year Of majority transactions"
      ],
      "metadata": {
        "id": "CfC4pepqze1r"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.Year.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "90KnskFAzZh8",
        "outputId": "79e4ec74-1ad7-4085-fb0b-726c949f2734"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2015    20488\n",
              "2014    18277\n",
              "Name: Year, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Number of transactions in 2015( month wise )"
      ],
      "metadata": {
        "id": "W29DK37HzyK7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df[df.Year == 2015]['Month'].value_counts().sort_index()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XyJeiAIG0BM2",
        "outputId": "88ad7f53-3497-4128-ddbd-292b2ce87d99"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1     1829\n",
              "2     1485\n",
              "3     1792\n",
              "4     1666\n",
              "5     1710\n",
              "6     1791\n",
              "7     1645\n",
              "8     1963\n",
              "9     1613\n",
              "10    1663\n",
              "11    1777\n",
              "12    1554\n",
              "Name: Month, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Aprori Implementation"
      ],
      "metadata": {
        "id": "8X7qv2_u0q2E"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data = df.copy()\n",
        "data = pd.get_dummies(data['itemDescription'])\n",
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        },
        "id": "w9vHm8hW125l",
        "outputId": "e1b51b33-80df-4df7-8d98-b95807c7eb12"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-970c8398-9fe5-4404-8ac3-7cc399823dce\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Instant food products</th>\n",
              "      <th>UHT-milk</th>\n",
              "      <th>abrasive cleaner</th>\n",
              "      <th>artif. sweetener</th>\n",
              "      <th>baby cosmetics</th>\n",
              "      <th>bags</th>\n",
              "      <th>baking powder</th>\n",
              "      <th>bathroom cleaner</th>\n",
              "      <th>beef</th>\n",
              "      <th>berries</th>\n",
              "      <th>beverages</th>\n",
              "      <th>bottled beer</th>\n",
              "      <th>bottled water</th>\n",
              "      <th>brandy</th>\n",
              "      <th>brown bread</th>\n",
              "      <th>butter</th>\n",
              "      <th>butter milk</th>\n",
              "      <th>cake bar</th>\n",
              "      <th>candles</th>\n",
              "      <th>candy</th>\n",
              "      <th>canned beer</th>\n",
              "      <th>canned fish</th>\n",
              "      <th>canned fruit</th>\n",
              "      <th>canned vegetables</th>\n",
              "      <th>cat food</th>\n",
              "      <th>cereals</th>\n",
              "      <th>chewing gum</th>\n",
              "      <th>chicken</th>\n",
              "      <th>chocolate</th>\n",
              "      <th>chocolate marshmallow</th>\n",
              "      <th>citrus fruit</th>\n",
              "      <th>cleaner</th>\n",
              "      <th>cling film/bags</th>\n",
              "      <th>cocoa drinks</th>\n",
              "      <th>coffee</th>\n",
              "      <th>condensed milk</th>\n",
              "      <th>cooking chocolate</th>\n",
              "      <th>cookware</th>\n",
              "      <th>cream</th>\n",
              "      <th>cream cheese</th>\n",
              "      <th>...</th>\n",
              "      <th>salt</th>\n",
              "      <th>salty snack</th>\n",
              "      <th>sauces</th>\n",
              "      <th>sausage</th>\n",
              "      <th>seasonal products</th>\n",
              "      <th>semi-finished bread</th>\n",
              "      <th>shopping bags</th>\n",
              "      <th>skin care</th>\n",
              "      <th>sliced cheese</th>\n",
              "      <th>snack products</th>\n",
              "      <th>soap</th>\n",
              "      <th>soda</th>\n",
              "      <th>soft cheese</th>\n",
              "      <th>softener</th>\n",
              "      <th>soups</th>\n",
              "      <th>sparkling wine</th>\n",
              "      <th>specialty bar</th>\n",
              "      <th>specialty cheese</th>\n",
              "      <th>specialty chocolate</th>\n",
              "      <th>specialty fat</th>\n",
              "      <th>specialty vegetables</th>\n",
              "      <th>spices</th>\n",
              "      <th>spread cheese</th>\n",
              "      <th>sugar</th>\n",
              "      <th>sweet spreads</th>\n",
              "      <th>syrup</th>\n",
              "      <th>tea</th>\n",
              "      <th>tidbits</th>\n",
              "      <th>toilet cleaner</th>\n",
              "      <th>tropical fruit</th>\n",
              "      <th>turkey</th>\n",
              "      <th>vinegar</th>\n",
              "      <th>waffles</th>\n",
              "      <th>whipped/sour cream</th>\n",
              "      <th>whisky</th>\n",
              "      <th>white bread</th>\n",
              "      <th>white wine</th>\n",
              "      <th>whole milk</th>\n",
              "      <th>yogurt</th>\n",
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              "  "
            ],
            "text/plain": [
              "   Instant food products  UHT-milk  ...  yogurt  zwieback\n",
              "0                      0         0  ...       0         0\n",
              "1                      0         0  ...       0         0\n",
              "2                      0         0  ...       0         0\n",
              "3                      0         0  ...       0         0\n",
              "4                      0         0  ...       0         0\n",
              "\n",
              "[5 rows x 167 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data1 = df.copy()\n",
        "data1.drop(['itemDescription'],axis=1,inplace=True)\n",
        "data1 = data1.join(data)\n",
        "data1.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 508
        },
        "id": "00k1kdfj16VL",
        "outputId": "1c52644f-fc40-4b18-b11d-b80410cddd15"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>memberNumber</th>\n",
              "      <th>Date</th>\n",
              "      <th>Year</th>\n",
              "      <th>Month</th>\n",
              "      <th>Day</th>\n",
              "      <th>Instant food products</th>\n",
              "      <th>UHT-milk</th>\n",
              "      <th>abrasive cleaner</th>\n",
              "      <th>artif. sweetener</th>\n",
              "      <th>baby cosmetics</th>\n",
              "      <th>bags</th>\n",
              "      <th>baking powder</th>\n",
              "      <th>bathroom cleaner</th>\n",
              "      <th>beef</th>\n",
              "      <th>berries</th>\n",
              "      <th>beverages</th>\n",
              "      <th>bottled beer</th>\n",
              "      <th>bottled water</th>\n",
              "      <th>brandy</th>\n",
              "      <th>brown bread</th>\n",
              "      <th>butter</th>\n",
              "      <th>butter milk</th>\n",
              "      <th>cake bar</th>\n",
              "      <th>candles</th>\n",
              "      <th>candy</th>\n",
              "      <th>canned beer</th>\n",
              "      <th>canned fish</th>\n",
              "      <th>canned fruit</th>\n",
              "      <th>canned vegetables</th>\n",
              "      <th>cat food</th>\n",
              "      <th>cereals</th>\n",
              "      <th>chewing gum</th>\n",
              "      <th>chicken</th>\n",
              "      <th>chocolate</th>\n",
              "      <th>chocolate marshmallow</th>\n",
              "      <th>citrus fruit</th>\n",
              "      <th>cleaner</th>\n",
              "      <th>cling film/bags</th>\n",
              "      <th>cocoa drinks</th>\n",
              "      <th>coffee</th>\n",
              "      <th>...</th>\n",
              "      <th>salt</th>\n",
              "      <th>salty snack</th>\n",
              "      <th>sauces</th>\n",
              "      <th>sausage</th>\n",
              "      <th>seasonal products</th>\n",
              "      <th>semi-finished bread</th>\n",
              "      <th>shopping bags</th>\n",
              "      <th>skin care</th>\n",
              "      <th>sliced cheese</th>\n",
              "      <th>snack products</th>\n",
              "      <th>soap</th>\n",
              "      <th>soda</th>\n",
              "      <th>soft cheese</th>\n",
              "      <th>softener</th>\n",
              "      <th>soups</th>\n",
              "      <th>sparkling wine</th>\n",
              "      <th>specialty bar</th>\n",
              "      <th>specialty cheese</th>\n",
              "      <th>specialty chocolate</th>\n",
              "      <th>specialty fat</th>\n",
              "      <th>specialty vegetables</th>\n",
              "      <th>spices</th>\n",
              "      <th>spread cheese</th>\n",
              "      <th>sugar</th>\n",
              "      <th>sweet spreads</th>\n",
              "      <th>syrup</th>\n",
              "      <th>tea</th>\n",
              "      <th>tidbits</th>\n",
              "      <th>toilet cleaner</th>\n",
              "      <th>tropical fruit</th>\n",
              "      <th>turkey</th>\n",
              "      <th>vinegar</th>\n",
              "      <th>waffles</th>\n",
              "      <th>whipped/sour cream</th>\n",
              "      <th>whisky</th>\n",
              "      <th>white bread</th>\n",
              "      <th>white wine</th>\n",
              "      <th>whole milk</th>\n",
              "      <th>yogurt</th>\n",
              "      <th>zwieback</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1808</td>\n",
              "      <td>21-07-2015</td>\n",
              "      <td>2015</td>\n",
              "      <td>7</td>\n",
              "      <td>21</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",
              "      <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>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>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",
              "      <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>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>1</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>1</th>\n",
              "      <td>1808</td>\n",
              "      <td>21-07-2015</td>\n",
              "      <td>2015</td>\n",
              "      <td>7</td>\n",
              "      <td>21</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",
              "      <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>1</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",
              "      <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",
              "      <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>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>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>2</th>\n",
              "      <td>2300</td>\n",
              "      <td>19-09-2015</td>\n",
              "      <td>2015</td>\n",
              "      <td>9</td>\n",
              "      <td>19</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",
              "      <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>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>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",
              "      <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>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>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>3</th>\n",
              "      <td>1187</td>\n",
              "      <td>12-12-2015</td>\n",
              "      <td>2015</td>\n",
              "      <td>12</td>\n",
              "      <td>12</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",
              "      <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>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>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",
              "      <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>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>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>4</th>\n",
              "      <td>3037</td>\n",
              "      <td>01-02-2015</td>\n",
              "      <td>2015</td>\n",
              "      <td>1</td>\n",
              "      <td>2</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",
              "      <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>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>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",
              "      <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>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>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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 172 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-57e9c323-1f74-4588-9305-cf8006dc5db9')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-57e9c323-1f74-4588-9305-cf8006dc5db9 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-57e9c323-1f74-4588-9305-cf8006dc5db9');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   memberNumber        Date  Year  ...  whole milk  yogurt  zwieback\n",
              "0          1808  21-07-2015  2015  ...           0       0         0\n",
              "1          1808  21-07-2015  2015  ...           0       0         0\n",
              "2          2300  19-09-2015  2015  ...           0       0         0\n",
              "3          1187  12-12-2015  2015  ...           0       0         0\n",
              "4          3037  01-02-2015  2015  ...           1       0         0\n",
              "\n",
              "[5 rows x 172 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "products = df['itemDescription'].unique()\n",
        "print(f\"Number of products:- {len(products)}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GsM4Vapl16aK",
        "outputId": "66fa5548-5b5c-49ec-8ba2-b948e837abda"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Number of products:- 167\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data2 = data1.groupby(['memberNumber','Date'])[products[:]].sum()\n",
        "data2 = data2.reset_index()[products]\n",
        "data2.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        },
        "id": "YVGIynHR0EvU",
        "outputId": "f8729e40-72df-4605-de42-41324d537357"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-eadff0c5-f7d4-4b6d-99c0-c9d4540e024e\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>tropical fruit</th>\n",
              "      <th>candy</th>\n",
              "      <th>pip fruit</th>\n",
              "      <th>other vegetables</th>\n",
              "      <th>whole milk</th>\n",
              "      <th>rolls/buns</th>\n",
              "      <th>pot plants</th>\n",
              "      <th>citrus fruit</th>\n",
              "      <th>beef</th>\n",
              "      <th>frankfurter</th>\n",
              "      <th>chicken</th>\n",
              "      <th>butter</th>\n",
              "      <th>fruit/vegetable juice</th>\n",
              "      <th>packaged fruit/vegetables</th>\n",
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              "      <th>butter milk</th>\n",
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              "      <th>detergent</th>\n",
              "      <th>...</th>\n",
              "      <th>soft cheese</th>\n",
              "      <th>mayonnaise</th>\n",
              "      <th>dental care</th>\n",
              "      <th>roll products</th>\n",
              "      <th>kitchen towels</th>\n",
              "      <th>flower soil/fertilizer</th>\n",
              "      <th>cereals</th>\n",
              "      <th>meat spreads</th>\n",
              "      <th>dishes</th>\n",
              "      <th>male cosmetics</th>\n",
              "      <th>candles</th>\n",
              "      <th>whisky</th>\n",
              "      <th>tidbits</th>\n",
              "      <th>cooking chocolate</th>\n",
              "      <th>seasonal products</th>\n",
              "      <th>liqueur</th>\n",
              "      <th>abrasive cleaner</th>\n",
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              "      <th>rubbing alcohol</th>\n",
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              "      <th>cocoa drinks</th>\n",
              "      <th>softener</th>\n",
              "      <th>organic products</th>\n",
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              "      <th>ready soups</th>\n",
              "      <th>make up remover</th>\n",
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              "    </tr>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-eadff0c5-f7d4-4b6d-99c0-c9d4540e024e')\"\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "  "
            ],
            "text/plain": [
              "   tropical fruit  candy  ...  toilet cleaner  preservation products\n",
              "0               0      0  ...               0                      0\n",
              "1               0      0  ...               0                      0\n",
              "2               0      0  ...               0                      0\n",
              "3               0      0  ...               0                      0\n",
              "4               0      0  ...               0                      0\n",
              "\n",
              "[5 rows x 167 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def naming(data):\n",
        "    for i in products:\n",
        "        if data[i]>0:\n",
        "            data[i]=i\n",
        "    return data\n",
        "\n",
        "data2 = data2.apply(naming,axis=1)\n",
        "\n",
        "data2.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        },
        "id": "m8ChANO40_gs",
        "outputId": "f8ebe91d-4d36-4f4e-da28-b2a7827f6559"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <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>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",
              "      <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>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>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>4</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>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>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>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>soda</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",
              "      <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>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>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 × 167 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-33e81ab5-33c0-4be3-b11a-afe465280413')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-33e81ab5-33c0-4be3-b11a-afe465280413 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-33e81ab5-33c0-4be3-b11a-afe465280413');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "  tropical fruit candy  ... toilet cleaner preservation products\n",
              "0              0     0  ...              0                     0\n",
              "1              0     0  ...              0                     0\n",
              "2              0     0  ...              0                     0\n",
              "3              0     0  ...              0                     0\n",
              "4              0     0  ...              0                     0\n",
              "\n",
              "[5 rows x 167 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "newdata = data2.values\n",
        "newdata"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "t1n3wlg21k-6",
        "outputId": "df069d88-c54c-4589-eab9-6da347fe1f71"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0, 0, 0, ..., 0, 0, 0],\n",
              "       [0, 0, 0, ..., 0, 0, 0],\n",
              "       [0, 0, 0, ..., 0, 0, 0],\n",
              "       ...,\n",
              "       [0, 0, 0, ..., 0, 0, 0],\n",
              "       [0, 0, 0, ..., 0, 0, 0],\n",
              "       [0, 0, 0, ..., 0, 0, 0]], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "newdata = [i[i!=0].tolist() for i in newdata if i[i!=0].tolist()]\n",
        "newdata"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6bGhbXq93VQS",
        "outputId": "9011a523-659d-4fda-acf2-e55716693592"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['whole milk', 'yogurt', 'sausage', 'semi-finished bread'],\n",
              " ['whole milk', 'pastry', 'salty snack'],\n",
              " ['canned beer', 'misc. beverages'],\n",
              " ['sausage', 'hygiene articles'],\n",
              " ['soda', 'pickled vegetables'],\n",
              " ['frankfurter', 'curd'],\n",
              " ['whole milk', 'rolls/buns', 'sausage'],\n",
              " ['whole milk', 'soda'],\n",
              " ['beef', 'white bread'],\n",
              " ['frankfurter', 'soda', 'whipped/sour cream'],\n",
              " ['other vegetables', 'frozen vegetables'],\n",
              " ['whole milk', 'butter'],\n",
              " ['tropical fruit', 'sugar'],\n",
              " ['butter milk', 'specialty chocolate'],\n",
              " ['rolls/buns', 'sausage'],\n",
              " ['root vegetables', 'detergent'],\n",
              " ['frozen meals', 'dental care'],\n",
              " ['rolls/buns'],\n",
              " ['dish cleaner', 'cling film/bags'],\n",
              " ['canned beer', 'frozen fish'],\n",
              " ['other vegetables', 'hygiene articles'],\n",
              " ['tropical fruit', 'pip fruit', 'whole milk'],\n",
              " ['rolls/buns', 'chocolate', 'red/blush wine'],\n",
              " ['other vegetables', 'shopping bags'],\n",
              " ['whole milk', 'rolls/buns', 'packaged fruit/vegetables', 'chocolate'],\n",
              " ['whole milk', 'root vegetables', 'pastry'],\n",
              " ['rolls/buns'],\n",
              " ['margarine', 'whipped/sour cream'],\n",
              " ['rolls/buns', 'bottled water', 'softener'],\n",
              " ['whole milk', 'rice'],\n",
              " ['shopping bags', 'skin care'],\n",
              " ['whole milk',\n",
              "  'rolls/buns',\n",
              "  'frankfurter',\n",
              "  'chicken',\n",
              "  'chocolate',\n",
              "  'flour',\n",
              "  'bottled beer'],\n",
              " ['hamburger meat', 'dessert', 'liquor (appetizer)', 'liver loaf'],\n",
              " ['tropical fruit',\n",
              "  'yogurt',\n",
              "  'root vegetables',\n",
              "  'soda',\n",
              "  'white wine',\n",
              "  'photo/film',\n",
              "  'domestic eggs'],\n",
              " ['yogurt', 'herbs', 'newspapers'],\n",
              " ['tropical fruit', 'yogurt'],\n",
              " ['pastry', 'ketchup'],\n",
              " ['canned fish', 'cocoa drinks'],\n",
              " ['pip fruit', 'coffee', 'UHT-milk'],\n",
              " ['sliced cheese', 'kitchen towels'],\n",
              " ['specialty bar', 'bottled water'],\n",
              " ['frankfurter', 'bottled water'],\n",
              " ['pip fruit', 'rolls/buns', 'candles'],\n",
              " ['pastry', 'curd cheese'],\n",
              " ['other vegetables',\n",
              "  'whole milk',\n",
              "  'frankfurter',\n",
              "  'yogurt',\n",
              "  'herbs',\n",
              "  'grapes',\n",
              "  'candles'],\n",
              " ['candy', 'rolls/buns', 'citrus fruit', 'bottled water'],\n",
              " ['frankfurter', 'yogurt'],\n",
              " ['tropical fruit',\n",
              "  'rolls/buns',\n",
              "  'root vegetables',\n",
              "  'onions',\n",
              "  'shopping bags'],\n",
              " ['brown bread', 'frozen vegetables'],\n",
              " ['whole milk', 'processed cheese'],\n",
              " ['whole milk', 'frozen meals'],\n",
              " ['meat', 'domestic eggs', 'white bread', 'roll products '],\n",
              " ['root vegetables', 'mayonnaise'],\n",
              " ['other vegetables', 'mustard'],\n",
              " ['bottled water', 'hard cheese', 'napkins'],\n",
              " ['candy', 'whole milk'],\n",
              " ['tropical fruit', 'frozen vegetables'],\n",
              " ['whipped/sour cream', 'mustard'],\n",
              " ['whole milk', 'yogurt', 'sausage', 'bottled beer'],\n",
              " ['canned beer', 'cookware'],\n",
              " ['butter milk', 'hamburger meat'],\n",
              " ['whole milk', 'rolls/buns'],\n",
              " ['whole milk', 'citrus fruit'],\n",
              " ['beef', 'salty snack'],\n",
              " ['rolls/buns', 'fruit/vegetable juice', 'chocolate'],\n",
              " ['bottled beer', 'UHT-milk'],\n",
              " ['chicken', 'red/blush wine'],\n",
              " ['pip fruit', 'soft cheese'],\n",
              " ['pip fruit', 'rolls/buns', 'frankfurter', 'oil', 'mayonnaise'],\n",
              " ['brown bread', 'pet care'],\n",
              " ['other vegetables', 'rolls/buns'],\n",
              " ['beef', 'yogurt'],\n",
              " ['other vegetables', 'root vegetables'],\n",
              " ['soda', 'dessert', 'shopping bags'],\n",
              " ['curd', 'long life bakery product'],\n",
              " ['beverages', 'domestic eggs'],\n",
              " ['butter milk', 'root vegetables'],\n",
              " ['berries', 'cake bar'],\n",
              " ['hamburger meat', 'red/blush wine'],\n",
              " ['canned beer', 'shopping bags'],\n",
              " ['rolls/buns', 'canned beer', 'frozen fish', 'spices'],\n",
              " ['butter', 'yogurt', 'frozen meals', 'newspapers'],\n",
              " ['rolls/buns', 'baking powder'],\n",
              " ['tropical fruit', 'yogurt', 'curd', 'liquor'],\n",
              " ['butter', 'sliced cheese'],\n",
              " ['fruit/vegetable juice', 'sausage'],\n",
              " ['beef', 'napkins'],\n",
              " ['whole milk', 'whipped/sour cream'],\n",
              " ['rolls/buns',\n",
              "  'packaged fruit/vegetables',\n",
              "  'root vegetables',\n",
              "  'whipped/sour cream'],\n",
              " ['soda', 'domestic eggs'],\n",
              " ['chicken', 'frozen meals'],\n",
              " ['curd', 'male cosmetics'],\n",
              " ['yogurt', 'berries', 'bottled beer', 'white bread'],\n",
              " ['specialty bar', 'sausage', 'whipped/sour cream'],\n",
              " ['tropical fruit', 'other vegetables', 'root vegetables', 'fish'],\n",
              " ['coffee', 'shopping bags'],\n",
              " ['ham', 'cream cheese '],\n",
              " ['canned beer', 'UHT-milk'],\n",
              " ['rolls/buns', 'sausage', 'dessert', 'pickled vegetables'],\n",
              " ['candy', 'butter', 'fruit/vegetable juice', 'salty snack', 'dental care'],\n",
              " ['root vegetables', 'long life bakery product'],\n",
              " ['citrus fruit', 'yogurt'],\n",
              " ['root vegetables', 'canned beer', 'whipped/sour cream'],\n",
              " ['whole milk', 'salt', 'softener'],\n",
              " ['hamburger meat', 'pork'],\n",
              " ['rolls/buns', 'bottled water'],\n",
              " ['rolls/buns', 'red/blush wine'],\n",
              " ['canned beer', 'onions', 'flower (seeds)'],\n",
              " ['rolls/buns', 'sugar'],\n",
              " ['butter', 'soda'],\n",
              " ['root vegetables', 'specialty chocolate'],\n",
              " ['rolls/buns', 'bottled water', 'onions', 'baking powder'],\n",
              " ['ham', 'dessert'],\n",
              " ['pot plants', 'ice cream'],\n",
              " ['other vegetables', 'berries'],\n",
              " ['beverages', 'cream cheese '],\n",
              " ['ice cream', 'whipped/sour cream'],\n",
              " ['other vegetables',\n",
              "  'butter',\n",
              "  'berries',\n",
              "  'soda',\n",
              "  'cream cheese ',\n",
              "  'white bread'],\n",
              " ['yogurt', 'root vegetables'],\n",
              " ['whole milk', 'pastry', 'shopping bags', 'white bread'],\n",
              " ['newspapers', 'whipped/sour cream'],\n",
              " ['frankfurter', 'pastry'],\n",
              " ['chicken', 'waffles'],\n",
              " ['fruit/vegetable juice', 'dessert'],\n",
              " ['rolls/buns', 'sausage', 'snack products'],\n",
              " ['tropical fruit', 'rolls/buns', 'soda'],\n",
              " ['tropical fruit', 'newspapers'],\n",
              " ['pip fruit', 'yogurt', 'cling film/bags', 'cat food'],\n",
              " ['bottled water', 'frozen meals', 'domestic eggs'],\n",
              " ['whole milk', 'newspapers'],\n",
              " ['pip fruit', 'white wine', 'salt', 'white bread'],\n",
              " ['sausage', 'frozen vegetables'],\n",
              " ['whole milk', 'rolls/buns', 'yogurt'],\n",
              " ['whole milk', 'frozen vegetables'],\n",
              " ['fruit/vegetable juice', 'vinegar'],\n",
              " ['citrus fruit', 'shopping bags', 'chewing gum', 'cake bar'],\n",
              " ['frankfurter', 'yogurt', 'canned beer'],\n",
              " ['tropical fruit', 'rolls/buns', 'white bread'],\n",
              " ['pip fruit', 'whole milk', 'whipped/sour cream'],\n",
              " ['other vegetables', 'specialty chocolate'],\n",
              " ['butter', 'whipped/sour cream', 'Instant food products', 'cake bar'],\n",
              " ['whole milk', 'butter', 'fruit/vegetable juice', 'sausage', 'pork'],\n",
              " ['pip fruit', 'frozen meals', 'herbs'],\n",
              " ['margarine', 'napkins'],\n",
              " ['rolls/buns', 'salty snack'],\n",
              " ['whole milk', 'rolls/buns', 'pasta'],\n",
              " ['rolls/buns', 'yogurt'],\n",
              " ['root vegetables', 'white bread'],\n",
              " ['tropical fruit', 'chicken', 'packaged fruit/vegetables', 'onions'],\n",
              " ['yogurt', 'hamburger meat'],\n",
              " ['dessert', 'prosecco'],\n",
              " ['candy', 'chicken', 'frozen vegetables'],\n",
              " ['tropical fruit', 'whole milk', 'brown bread'],\n",
              " ['beef', 'dessert'],\n",
              " ['other vegetables', 'whole milk'],\n",
              " ['citrus fruit', 'bottled water'],\n",
              " ['whole milk', 'rolls/buns', 'citrus fruit'],\n",
              " ['tropical fruit', 'sliced cheese'],\n",
              " ['whole milk', 'napkins', 'chocolate marshmallow'],\n",
              " ['tropical fruit', 'other vegetables'],\n",
              " ['root vegetables', 'curd'],\n",
              " ['fruit/vegetable juice', 'specialty chocolate', 'Instant food products'],\n",
              " ['butter', 'yogurt', 'root vegetables'],\n",
              " ['chicken', 'onions'],\n",
              " ['whole milk', 'pastry'],\n",
              " ['bottled water', 'pork'],\n",
              " ['soda', 'curd'],\n",
              " ['butter', 'sweet spreads'],\n",
              " ['pip fruit', 'soda'],\n",
              " ['whole milk', 'rolls/buns', 'soda', 'condensed milk'],\n",
              " ['tropical fruit', 'rolls/buns'],\n",
              " ['whole milk', 'butter'],\n",
              " ['candy', 'white bread'],\n",
              " ['frankfurter', 'herbs'],\n",
              " ['specialty bar', 'margarine'],\n",
              " ['whole milk', 'meat'],\n",
              " ['yogurt', 'house keeping products'],\n",
              " ['whipped/sour cream', 'hygiene articles'],\n",
              " ['other vegetables', 'UHT-milk', 'dishes'],\n",
              " ['beverages', 'waffles'],\n",
              " ['yogurt', 'pasta', 'cat food'],\n",
              " ['tropical fruit', 'red/blush wine', 'fish', 'cream cheese '],\n",
              " ['other vegetables', 'rolls/buns', 'soda', 'dishes'],\n",
              " ['tropical fruit',\n",
              "  'other vegetables',\n",
              "  'hamburger meat',\n",
              "  'popcorn',\n",
              "  'female sanitary products'],\n",
              " ['hamburger meat', 'bottled beer'],\n",
              " ['pork', 'coffee', 'frozen vegetables'],\n",
              " ['shopping bags'],\n",
              " ['beef', 'shopping bags'],\n",
              " ['hamburger meat', 'soda'],\n",
              " ['butter milk', 'yogurt', 'margarine'],\n",
              " ['whole milk', 'soda'],\n",
              " ['root vegetables', 'grapes'],\n",
              " ['frankfurter', 'whipped/sour cream'],\n",
              " ['bottled water', 'chewing gum'],\n",
              " ['chicken', 'coffee', 'beverages'],\n",
              " ['other vegetables',\n",
              "  'yogurt',\n",
              "  'pork',\n",
              "  'detergent',\n",
              "  'shopping bags',\n",
              "  'soft cheese'],\n",
              " ['butter', 'dog food'],\n",
              " ['chicken', 'frozen vegetables'],\n",
              " ['hamburger meat', 'pastry'],\n",
              " ['other vegetables', 'whole milk'],\n",
              " ['rolls/buns', 'waffles'],\n",
              " ['whole milk', 'sugar'],\n",
              " ['soda'],\n",
              " ['bottled beer', 'oil'],\n",
              " ['citrus fruit', 'frankfurter', 'margarine'],\n",
              " ['fruit/vegetable juice', 'soda'],\n",
              " ['other vegetables', 'photo/film'],\n",
              " ['pork', 'white wine'],\n",
              " ['bottled water', 'yogurt', 'soda', 'newspapers'],\n",
              " ['whipped/sour cream', 'meat spreads'],\n",
              " ['pip fruit', 'other vegetables'],\n",
              " ['whole milk', 'ham'],\n",
              " ['pickled vegetables', 'salty snack'],\n",
              " ['soda', 'domestic eggs', 'sliced cheese'],\n",
              " ['tropical fruit', 'UHT-milk'],\n",
              " ['bottled water', 'sausage'],\n",
              " ['yogurt', 'root vegetables'],\n",
              " ['other vegetables', 'root vegetables'],\n",
              " ['other vegetables', 'chicken'],\n",
              " ['dessert', 'spread cheese'],\n",
              " ['sausage', 'salty snack', 'cling film/bags'],\n",
              " ['tropical fruit',\n",
              "  'whole milk',\n",
              "  'root vegetables',\n",
              "  'margarine',\n",
              "  'Instant food products'],\n",
              " ['fruit/vegetable juice', 'soda', 'bottled beer'],\n",
              " ['beef', 'chocolate'],\n",
              " ['beverages', 'dessert'],\n",
              " ['hard cheese', 'whipped/sour cream'],\n",
              " ['ham', 'whipped/sour cream', 'ketchup'],\n",
              " ['white bread', 'frozen fruits'],\n",
              " ['tropical fruit',\n",
              "  'other vegetables',\n",
              "  'whole milk',\n",
              "  'long life bakery product'],\n",
              " ['other vegetables', 'whole milk', 'butter', 'yogurt', 'shopping bags'],\n",
              " ['whole milk', 'sauces'],\n",
              " ['whole milk', 'citrus fruit'],\n",
              " ['candy', 'rolls/buns'],\n",
              " ['whole milk', 'root vegetables'],\n",
              " ['rolls/buns', 'cream cheese '],\n",
              " ['other vegetables', 'root vegetables', 'long life bakery product'],\n",
              " ['tropical fruit', 'rolls/buns'],\n",
              " ['tropical fruit', 'frankfurter'],\n",
              " ['tropical fruit', 'whole milk', 'rum', 'long life bakery product'],\n",
              " ['hamburger meat', 'soda'],\n",
              " ['red/blush wine', 'frozen fish'],\n",
              " ['beef', 'dessert'],\n",
              " ['root vegetables', 'bottled beer'],\n",
              " ['shopping bags', 'oil'],\n",
              " ['other vegetables', 'whole milk'],\n",
              " ['tropical fruit', 'whole milk'],\n",
              " ['hamburger meat', 'pork'],\n",
              " ['tropical fruit', 'rolls/buns', 'chocolate', 'coffee'],\n",
              " ['pork', 'spread cheese'],\n",
              " ['yogurt', 'soda'],\n",
              " ['domestic eggs', 'salt'],\n",
              " ['rolls/buns', 'pork'],\n",
              " ['fruit/vegetable juice', 'brown bread'],\n",
              " ['tropical fruit', 'bottled beer', 'sliced cheese', 'dishes'],\n",
              " ['newspapers', 'cream cheese '],\n",
              " ['citrus fruit', 'red/blush wine'],\n",
              " ['fruit/vegetable juice', 'yogurt', 'roll products '],\n",
              " ['other vegetables', 'ham'],\n",
              " ['frankfurter', 'canned beer'],\n",
              " ['brown bread', 'finished products', 'dishes'],\n",
              " ['bottled water', 'yogurt', 'domestic eggs'],\n",
              " ['pip fruit', 'curd', 'prosecco'],\n",
              " ['brown bread', 'salt'],\n",
              " ['semi-finished bread', 'ketchup'],\n",
              " ['shopping bags', 'oil'],\n",
              " ['fruit/vegetable juice', 'flower (seeds)'],\n",
              " ['misc. beverages', 'instant coffee'],\n",
              " ['candy', 'detergent'],\n",
              " ['UHT-milk', 'canned fish'],\n",
              " ['citrus fruit', 'frankfurter', 'fruit/vegetable juice', 'bottled water'],\n",
              " ['frankfurter', 'frozen meals', 'dishes'],\n",
              " ['pip fruit', 'rolls/buns'],\n",
              " ['butter', 'bottled water', 'sausage'],\n",
              " ['frankfurter', 'chicken', 'butter', 'bottled water'],\n",
              " ['whole milk', 'coffee', 'ham'],\n",
              " ['sausage', 'brown bread'],\n",
              " ['other vegetables', 'butter'],\n",
              " ['tropical fruit', 'soda'],\n",
              " ['pastry', 'pasta'],\n",
              " ['brown bread', 'white bread'],\n",
              " ['rolls/buns', 'canned beer', 'soda', 'artif. sweetener'],\n",
              " ['rolls/buns', 'root vegetables'],\n",
              " ['chicken', 'soda'],\n",
              " ['rolls/buns', 'frankfurter', 'coffee', 'curd', 'white bread'],\n",
              " ['bottled water', 'red/blush wine', 'sweet spreads'],\n",
              " ['rolls/buns', 'onions', 'napkins'],\n",
              " ['canned beer', 'soda'],\n",
              " ['root vegetables', 'frozen vegetables', 'pet care'],\n",
              " ['tropical fruit',\n",
              "  'specialty bar',\n",
              "  'yogurt',\n",
              "  'bottled beer',\n",
              "  'baking powder'],\n",
              " ['other vegetables', 'whole milk', 'frankfurter', 'pastry', 'newspapers'],\n",
              " ['yogurt', 'beverages'],\n",
              " ['tropical fruit', 'whole milk'],\n",
              " ['butter milk', 'coffee'],\n",
              " ['other vegetables', 'beef', 'margarine'],\n",
              " ['bottled water', 'hygiene articles'],\n",
              " ['pork', 'sliced cheese'],\n",
              " ['soda', 'specialty chocolate', 'bathroom cleaner'],\n",
              " ['whole milk', 'hamburger meat'],\n",
              " ['pip fruit', 'other vegetables'],\n",
              " ['citrus fruit', 'root vegetables'],\n",
              " ['other vegetables', 'soda', 'shopping bags'],\n",
              " ['yogurt', 'newspapers'],\n",
              " ['ice cream', 'whipped/sour cream'],\n",
              " ['other vegetables', 'beef', 'butter', 'soda', 'curd'],\n",
              " ['canned beer', 'herbs', 'margarine'],\n",
              " ['rolls/buns', 'soda'],\n",
              " ['rolls/buns', 'citrus fruit'],\n",
              " ['berries', 'coffee'],\n",
              " ['ham', 'white bread'],\n",
              " ['pot plants', 'herbs', 'cake bar'],\n",
              " ['soda', 'jam', 'flower (seeds)'],\n",
              " ['pip fruit', 'chocolate', 'sausage'],\n",
              " ['specialty chocolate', 'white bread'],\n",
              " ['whole milk'],\n",
              " ['other vegetables', 'whole milk'],\n",
              " ['sausage', 'beverages'],\n",
              " ['whole milk', 'hard cheese'],\n",
              " ['yogurt', 'berries'],\n",
              " ['tropical fruit',\n",
              "  'other vegetables',\n",
              "  'meat',\n",
              "  'domestic eggs',\n",
              "  'baking powder'],\n",
              " ['yogurt', 'sauces'],\n",
              " ['beef', 'yogurt'],\n",
              " ['whole milk', 'ice cream'],\n",
              " ['yogurt',\n",
              "  'sausage',\n",
              "  'pastry',\n",
              "  'detergent',\n",
              "  'specialty chocolate',\n",
              "  'napkins',\n",
              "  'dishes',\n",
              "  'whisky'],\n",
              " ['photo/film', 'shopping bags'],\n",
              " ['other vegetables', 'frankfurter', 'bottled beer'],\n",
              " ['yogurt', 'newspapers'],\n",
              " ['other vegetables',\n",
              "  'specialty bar',\n",
              "  'root vegetables',\n",
              "  'soda',\n",
              "  'frozen vegetables'],\n",
              " ['rolls/buns',\n",
              "  'bottled water',\n",
              "  'sausage',\n",
              "  'grapes',\n",
              "  'bottled beer',\n",
              "  'domestic eggs',\n",
              "  'salty snack',\n",
              "  'Instant food products'],\n",
              " ['dessert', 'domestic eggs'],\n",
              " ['tropical fruit', 'sausage', 'root vegetables', 'misc. beverages'],\n",
              " ['whole milk', 'sausage'],\n",
              " ['whole milk', 'brown bread'],\n",
              " ['hamburger meat', 'flour', 'detergent'],\n",
              " ['tropical fruit', 'soda'],\n",
              " ['newspapers', 'salty snack'],\n",
              " ['whole milk', 'pasta', 'waffles'],\n",
              " ['other vegetables', 'chocolate marshmallow'],\n",
              " ['flour', 'pickled vegetables'],\n",
              " ['yogurt', 'shopping bags'],\n",
              " ['packaged fruit/vegetables', 'bottled water', 'pork', 'domestic eggs'],\n",
              " ['pip fruit', 'fruit/vegetable juice'],\n",
              " ['tropical fruit', 'whole milk', 'soda', 'curd'],\n",
              " ['root vegetables', 'shopping bags'],\n",
              " ['curd', 'shopping bags', 'whipped/sour cream'],\n",
              " ['whole milk', 'sausage', 'cake bar'],\n",
              " ['frankfurter', 'bottled water', 'whipped/sour cream'],\n",
              " ['whole milk', 'hard cheese'],\n",
              " ['tropical fruit',\n",
              "  'whole milk',\n",
              "  'citrus fruit',\n",
              "  'frankfurter',\n",
              "  'yogurt',\n",
              "  'canned beer',\n",
              "  'specialty chocolate',\n",
              "  'hard cheese'],\n",
              " ['rolls/buns', 'canned beer', 'napkins'],\n",
              " ['other vegetables', 'grapes'],\n",
              " ['rolls/buns', 'shopping bags', 'cat food'],\n",
              " ['tropical fruit', 'candy'],\n",
              " ['citrus fruit', 'dessert'],\n",
              " ['bottled water', 'root vegetables', 'frozen vegetables', 'cat food'],\n",
              " ['pork', 'spread cheese'],\n",
              " ['pip fruit', 'brown bread'],\n",
              " ['root vegetables', 'instant coffee'],\n",
              " ['butter',\n",
              "  'butter milk',\n",
              "  'soda',\n",
              "  'grapes',\n",
              "  'hygiene articles',\n",
              "  'pudding powder'],\n",
              " ['whole milk', 'yogurt'],\n",
              " ['hamburger meat', 'pasta'],\n",
              " ['whole milk', 'processed cheese'],\n",
              " ['brown bread', 'sparkling wine'],\n",
              " ['other vegetables', 'rolls/buns', 'whipped/sour cream'],\n",
              " ['candy', 'white wine'],\n",
              " ['root vegetables', 'frozen vegetables'],\n",
              " ['other vegetables', 'detergent', 'white bread'],\n",
              " ['yogurt', 'brown bread', 'beverages'],\n",
              " ['herbs', 'ice cream'],\n",
              " ['yogurt', 'cream'],\n",
              " ['chicken', 'pastry', 'candles'],\n",
              " ['hygiene articles', 'waffles', 'tea'],\n",
              " ['other vegetables', 'rolls/buns', 'yogurt', 'herbs'],\n",
              " ['yogurt', 'root vegetables'],\n",
              " ['yogurt', 'domestic eggs'],\n",
              " ['whole milk', 'pork'],\n",
              " ['other vegetables', 'white bread'],\n",
              " ['tropical fruit', 'whole milk', 'bottled water', 'yogurt'],\n",
              " ['citrus fruit', 'misc. beverages'],\n",
              " ['rolls/buns', 'chicken', 'shopping bags', 'spread cheese', 'liver loaf'],\n",
              " ['citrus fruit', 'misc. beverages'],\n",
              " ['whole milk', 'pastry'],\n",
              " ['newspapers', 'onions'],\n",
              " ['beef', 'newspapers', 'specialty fat'],\n",
              " ['rolls/buns', 'semi-finished bread'],\n",
              " ['rolls/buns', 'shopping bags'],\n",
              " ['pastry', 'canned beer', 'grapes', 'whipped/sour cream'],\n",
              " ['pastry', 'oil', 'salty snack'],\n",
              " ['frozen potato products', 'specialty cheese'],\n",
              " ['whole milk', 'brown bread', 'shopping bags'],\n",
              " ['citrus fruit', 'margarine', 'frozen vegetables'],\n",
              " ['sugar', 'curd'],\n",
              " ['whole milk', 'chocolate'],\n",
              " ['pip fruit', 'pastry', 'salty snack'],\n",
              " ['pip fruit', 'margarine'],\n",
              " ['yogurt', 'ham'],\n",
              " ['soda', 'salty snack'],\n",
              " ['chocolate', 'bottled water'],\n",
              " ['butter', 'pastry', 'curd', 'margarine', 'baking powder', 'dishes'],\n",
              " ['whole milk', 'soda'],\n",
              " ['liquor', 'pickled vegetables'],\n",
              " ['yogurt', 'margarine'],\n",
              " ['whole milk', 'soda', 'UHT-milk', 'frozen vegetables'],\n",
              " ['other vegetables', 'whipped/sour cream'],\n",
              " ['beef', 'semi-finished bread'],\n",
              " ['bottled water', 'flour', 'sugar'],\n",
              " ['newspapers', 'ice cream', 'dish cleaner', 'jam'],\n",
              " ['canned beer', 'curd'],\n",
              " ['specialty bar', 'bottled beer', 'baking powder'],\n",
              " ['whole milk', 'yogurt', 'newspapers'],\n",
              " ['pork', 'domestic eggs', 'pudding powder'],\n",
              " ['root vegetables', 'shopping bags'],\n",
              " ['misc. beverages', 'UHT-milk', 'white bread'],\n",
              " ['sausage', 'dessert', 'dog food', 'shopping bags'],\n",
              " ['citrus fruit', 'root vegetables'],\n",
              " ['chocolate', 'brown bread', 'salty snack'],\n",
              " ['chicken', 'shopping bags'],\n",
              " ['other vegetables', 'butter'],\n",
              " ['yogurt', 'whipped/sour cream'],\n",
              " ['other vegetables', 'yogurt'],\n",
              " ['root vegetables', 'turkey'],\n",
              " ['other vegetables', 'napkins'],\n",
              " ['rolls/buns', 'newspapers', 'beverages', 'white bread'],\n",
              " ['other vegetables', 'zwieback'],\n",
              " ['butter milk', 'brown bread', 'soda', 'canned vegetables'],\n",
              " ['chicken', 'bottled water'],\n",
              " ['brown bread', 'soda'],\n",
              " ['other vegetables',\n",
              "  'root vegetables',\n",
              "  'newspapers',\n",
              "  'hard cheese',\n",
              "  'cream cheese ',\n",
              "  'liquor'],\n",
              " ['rolls/buns', 'frankfurter'],\n",
              " ['whole milk', 'meat', 'whipped/sour cream'],\n",
              " ['bottled beer', 'frozen vegetables', 'sliced cheese'],\n",
              " ['pip fruit', 'canned beer', 'processed cheese'],\n",
              " ['berries', 'condensed milk'],\n",
              " ['rolls/buns', 'curd', 'pickled vegetables', 'house keeping products'],\n",
              " ['whole milk', 'butter', 'pastry', 'hair spray'],\n",
              " ['yogurt', 'ham'],\n",
              " ['whole milk', 'grapes'],\n",
              " ['other vegetables', 'meat'],\n",
              " ['other vegetables', 'specialty bar'],\n",
              " ['soda', 'newspapers', 'UHT-milk', 'white bread'],\n",
              " ['citrus fruit', 'brown bread'],\n",
              " ['tropical fruit', 'sugar'],\n",
              " ['tropical fruit',\n",
              "  'pastry',\n",
              "  'condensed milk',\n",
              "  'chocolate marshmallow',\n",
              "  'rice'],\n",
              " ['coffee', 'shopping bags'],\n",
              " ['citrus fruit', 'bottled water'],\n",
              " ['root vegetables', 'frozen vegetables'],\n",
              " ['chicken', 'dishes'],\n",
              " ['rolls/buns', 'yogurt', 'oil'],\n",
              " ['pork', 'soda', 'canned vegetables'],\n",
              " ['pip fruit', 'whole milk'],\n",
              " ['rolls/buns', 'frozen vegetables', 'cling film/bags'],\n",
              " ['bottled beer', 'hygiene articles'],\n",
              " ['yogurt', 'soda'],\n",
              " ['rolls/buns', 'margarine'],\n",
              " ['condensed milk', 'shopping bags'],\n",
              " ['citrus fruit', 'popcorn'],\n",
              " ['sausage', 'pastry'],\n",
              " ['rolls/buns', 'root vegetables', 'margarine'],\n",
              " ['rolls/buns', 'whipped/sour cream'],\n",
              " ['root vegetables', 'pork', 'newspapers', 'napkins'],\n",
              " ['whole milk', 'misc. beverages', 'long life bakery product'],\n",
              " ['citrus fruit', 'soda'],\n",
              " ['soda', 'roll products '],\n",
              " ['rolls/buns', 'frankfurter', 'margarine', 'shopping bags'],\n",
              " ['other vegetables', 'butter', 'pastry', 'UHT-milk'],\n",
              " ['coffee', 'meat'],\n",
              " ['frankfurter', 'white bread'],\n",
              " ['liquor', 'domestic eggs'],\n",
              " ['specialty bar', 'soda', 'frozen vegetables'],\n",
              " ['frozen meals', 'grapes', 'flower (seeds)'],\n",
              " ['yogurt', 'brown bread', 'shopping bags', 'tea'],\n",
              " ['white wine', 'flower (seeds)'],\n",
              " ['specialty chocolate', 'cream cheese '],\n",
              " ['whole milk', 'baking powder'],\n",
              " ['soda', 'margarine'],\n",
              " ['tropical fruit', 'cream cheese '],\n",
              " ['yogurt', 'softener'],\n",
              " ['frankfurter', 'bottled water', 'root vegetables', 'dessert'],\n",
              " ['other vegetables',\n",
              "  'rolls/buns',\n",
              "  'shopping bags',\n",
              "  'salty snack',\n",
              "  'semi-finished bread'],\n",
              " ['whole milk', 'soda'],\n",
              " ['whole milk', 'bottled beer'],\n",
              " ['yogurt', 'pastry'],\n",
              " ['curd', 'domestic eggs'],\n",
              " ['coffee', 'shopping bags'],\n",
              " ['rolls/buns', 'sausage', 'rice'],\n",
              " ['whole milk', 'pork', 'napkins'],\n",
              " ['other vegetables', 'oil'],\n",
              " ['yogurt', 'brown bread', 'pastry'],\n",
              " ['newspapers', 'cream cheese '],\n",
              " ['butter', 'sausage', 'soda', 'dessert', 'shopping bags'],\n",
              " ['butter', 'hard cheese'],\n",
              " ['other vegetables', 'whole milk'],\n",
              " ['citrus fruit', 'flower (seeds)'],\n",
              " ['tropical fruit', 'butter milk', 'brown bread'],\n",
              " ['tropical fruit', 'whole milk'],\n",
              " ['rolls/buns', 'fruit/vegetable juice'],\n",
              " ['citrus fruit', 'herbs'],\n",
              " ['butter milk', 'root vegetables'],\n",
              " ['shopping bags', 'instant coffee'],\n",
              " ['tropical fruit', 'other vegetables'],\n",
              " ['other vegetables', 'beef'],\n",
              " ['canned beer', 'nut snack'],\n",
              " ['other vegetables', 'whole milk', 'sugar'],\n",
              " ['whole milk', 'root vegetables'],\n",
              " ['citrus fruit', 'napkins'],\n",
              " ['rolls/buns', 'butter milk'],\n",
              " ['rolls/buns', 'brown bread', 'canned beer'],\n",
              " ['tropical fruit', 'soft cheese'],\n",
              " ['tropical fruit', 'misc. beverages'],\n",
              " ['pork', 'pickled vegetables'],\n",
              " ['other vegetables', 'frankfurter', 'curd', 'photo/film', 'waffles'],\n",
              " ['pip fruit', 'other vegetables', 'cling film/bags'],\n",
              " ['whole milk', 'rolls/buns', 'soda'],\n",
              " ['tropical fruit', 'yogurt'],\n",
              " ['rolls/buns', 'cat food'],\n",
              " ['berries', 'white bread'],\n",
              " ['rolls/buns', 'soda'],\n",
              " ['chicken', 'brown bread'],\n",
              " ['other vegetables', 'napkins'],\n",
              " ['newspapers', 'soups'],\n",
              " ['soda', 'UHT-milk'],\n",
              " ['pork', 'soda'],\n",
              " ['pickled vegetables', 'oil'],\n",
              " ['whole milk', 'sugar', 'soda'],\n",
              " ['misc. beverages', 'spread cheese'],\n",
              " ['whole milk', 'meat'],\n",
              " ['pork', 'domestic eggs'],\n",
              " ['root vegetables', 'coffee'],\n",
              " ['canned beer', 'fish'],\n",
              " ['root vegetables', 'hard cheese', 'white bread'],\n",
              " ['chicken', 'domestic eggs', 'white bread'],\n",
              " ['soda', 'whipped/sour cream'],\n",
              " ['other vegetables', 'brown bread'],\n",
              " ['tropical fruit', 'root vegetables'],\n",
              " ['soda', 'bottled beer'],\n",
              " ['whole milk', 'bottled beer'],\n",
              " ['bottled water', 'shopping bags', 'waffles'],\n",
              " ['pork', 'margarine'],\n",
              " ['pip fruit', 'root vegetables', 'frozen vegetables', 'cereals'],\n",
              " ['yogurt', 'soda'],\n",
              " ['candy', 'other vegetables', 'berries', 'sliced cheese'],\n",
              " ['curd', 'soft cheese'],\n",
              " ['whole milk', 'soda'],\n",
              " ['frozen meals', 'detergent'],\n",
              " ['specialty chocolate', 'canned fish'],\n",
              " ['other vegetables', 'soda'],\n",
              " ['tropical fruit', 'pork'],\n",
              " ['yogurt', 'pork'],\n",
              " ['whole milk',\n",
              "  'yogurt',\n",
              "  'sausage',\n",
              "  'dog food',\n",
              "  'shopping bags',\n",
              "  'sliced cheese',\n",
              "  'baking powder',\n",
              "  'white bread'],\n",
              " ['other vegetables', 'soda'],\n",
              " ['root vegetables', 'soda', 'long life bakery product'],\n",
              " ['chicken', 'yogurt', 'soda', 'bottled beer'],\n",
              " ['yogurt', 'frozen vegetables', 'seasonal products'],\n",
              " ['other vegetables', 'fruit/vegetable juice'],\n",
              " ['rolls/buns', 'bottled water', 'UHT-milk', 'long life bakery product'],\n",
              " ['canned beer', 'sugar'],\n",
              " ['pip fruit', 'berries'],\n",
              " ['curd', 'soft cheese'],\n",
              " ['pip fruit', 'pastry', 'berries'],\n",
              " ['whole milk', 'rolls/buns'],\n",
              " ['pork', 'domestic eggs'],\n",
              " ['frozen meals', 'soda'],\n",
              " ['curd cheese', 'soda'],\n",
              " ['whole milk', 'grapes'],\n",
              " ['whole milk', 'bottled beer', 'chewing gum', 'ready soups'],\n",
              " ['butter', 'ice cream'],\n",
              " ['chicken', 'cake bar'],\n",
              " ['frankfurter', 'mustard', 'soft cheese'],\n",
              " ['tropical fruit', 'rolls/buns', 'canned beer', 'dish cleaner'],\n",
              " ['other vegetables', 'root vegetables', 'frozen vegetables'],\n",
              " ['rolls/buns', 'female sanitary products'],\n",
              " ['whole milk', 'citrus fruit', 'sausage', 'canned beer'],\n",
              " ['whole milk', 'yogurt', 'sausage', 'pet care'],\n",
              " ['whole milk', 'house keeping products'],\n",
              " ['frankfurter', 'brandy'],\n",
              " ['other vegetables', 'berries'],\n",
              " ['tropical fruit', 'whole milk', 'UHT-milk', 'napkins'],\n",
              " ['beef', 'frozen meals', 'curd'],\n",
              " ['other vegetables', 'rolls/buns', 'butter', 'root vegetables'],\n",
              " ['whole milk', 'bottled water'],\n",
              " ['citrus fruit', 'yogurt'],\n",
              " ['whole milk', 'cream cheese '],\n",
              " ['domestic eggs', 'frozen vegetables'],\n",
              " ['citrus fruit', 'soda'],\n",
              " ['citrus fruit', 'light bulbs'],\n",
              " ['whole milk', 'yogurt'],\n",
              " ['butter', 'chewing gum'],\n",
              " ['whole milk', 'root vegetables'],\n",
              " ['tropical fruit', 'pip fruit', 'mustard'],\n",
              " ['beef', 'coffee', 'bottled beer', 'domestic eggs'],\n",
              " ['frozen meals', 'shopping bags'],\n",
              " ['other vegetables', 'whole milk', 'yogurt', 'spread cheese'],\n",
              " ['beef', 'newspapers', 'bottled beer'],\n",
              " ['coffee', 'misc. beverages'],\n",
              " ['citrus fruit', 'canned beer'],\n",
              " ['yogurt', 'white bread'],\n",
              " ['red/blush wine', 'salty snack'],\n",
              " ['fruit/vegetable juice', 'canned beer', 'berries', 'male cosmetics'],\n",
              " ['bottled water', 'sausage'],\n",
              " ['whole milk', 'citrus fruit', 'beef', 'bottled water', 'newspapers'],\n",
              " ['frozen vegetables', 'white bread'],\n",
              " ['other vegetables', 'sliced cheese'],\n",
              " ['whole milk', 'root vegetables', 'canned vegetables'],\n",
              " ['beef', 'house keeping products'],\n",
              " ['whole milk', 'frozen vegetables'],\n",
              " ['packaged fruit/vegetables', 'chocolate', 'pork'],\n",
              " ['curd', 'spices'],\n",
              " ['tropical fruit', 'bottled water'],\n",
              " ['brown bread', 'root vegetables'],\n",
              " ['other vegetables', 'rolls/buns'],\n",
              " ['coffee', 'domestic eggs'],\n",
              " ['frankfurter', 'frozen vegetables'],\n",
              " ['whole milk', 'chocolate', 'bottled beer', 'UHT-milk'],\n",
              " ['herbs', 'long life bakery product', 'sweet spreads'],\n",
              " ['soda', 'detergent'],\n",
              " ['soda', 'margarine'],\n",
              " ['bottled water', 'liquor'],\n",
              " ['cleaner', 'napkins'],\n",
              " ['other vegetables', 'rolls/buns'],\n",
              " ['napkins'],\n",
              " ['bottled beer', 'cake bar'],\n",
              " ['other vegetables', 'whole milk', 'white bread', 'waffles'],\n",
              " ['newspapers', 'finished products', 'whipped/sour cream'],\n",
              " ['pip fruit', 'chicken'],\n",
              " ['chocolate', 'shopping bags'],\n",
              " ['citrus fruit', 'whipped/sour cream'],\n",
              " ['whole milk',\n",
              "  'rolls/buns',\n",
              "  'bottled water',\n",
              "  'pork',\n",
              "  'turkey',\n",
              "  'soda',\n",
              "  'dog food'],\n",
              " ['pip fruit', 'whipped/sour cream'],\n",
              " ['whole milk', 'sparkling wine'],\n",
              " ['whole milk', 'canned beer'],\n",
              " ['soda', 'whipped/sour cream'],\n",
              " ['other vegetables', 'soda'],\n",
              " ['brown bread', 'pasta'],\n",
              " ['bottled water', 'onions'],\n",
              " ['beverages', 'specialty chocolate'],\n",
              " ['rolls/buns', 'fruit/vegetable juice', 'bottled beer'],\n",
              " ['specialty bar', 'newspapers'],\n",
              " ['rolls/buns', 'margarine'],\n",
              " ['rolls/buns', 'hard cheese'],\n",
              " ['rolls/buns', 'fruit/vegetable juice', 'soft cheese'],\n",
              " ['pickled vegetables', 'baking powder'],\n",
              " ['pip fruit', 'whipped/sour cream'],\n",
              " ['citrus fruit', 'syrup'],\n",
              " ['root vegetables', 'cling film/bags'],\n",
              " ['other vegetables', 'hamburger meat'],\n",
              " ['whole milk',\n",
              "  'citrus fruit',\n",
              "  'yogurt',\n",
              "  'soda',\n",
              "  'white wine',\n",
              "  'shopping bags'],\n",
              " ['pasta', 'oil'],\n",
              " ['citrus fruit', 'brown bread', 'specialty chocolate'],\n",
              " ['beef', 'butter', 'chocolate', 'bottled water', 'yogurt', 'berries'],\n",
              " ['bottled water', 'sugar', 'hard cheese'],\n",
              " ['whole milk', 'soda'],\n",
              " ['tropical fruit', 'other vegetables'],\n",
              " ['other vegetables', 'pastry'],\n",
              " ['curd cheese', 'frozen potato products', 'domestic eggs'],\n",
              " ['tropical fruit', 'whole milk'],\n",
              " ['rolls/buns', 'brown bread', 'canned beer', 'dessert'],\n",
              " ['tropical fruit', 'shopping bags'],\n",
              " ['chocolate', 'bottled water', 'jam'],\n",
              " ['other vegetables', 'pork', 'ice cream', 'salt'],\n",
              " ['coffee', 'oil'],\n",
              " ['soda', 'cereals'],\n",
              " ['chicken', 'frozen meals', 'napkins'],\n",
              " ['whole milk', 'frozen potato products'],\n",
              " ['citrus fruit', 'white bread'],\n",
              " ['whole milk', 'bottled beer', 'oil', 'dishes'],\n",
              " ['sausage', 'root vegetables'],\n",
              " ['white bread', 'mayonnaise'],\n",
              " ['whole milk', 'hamburger meat', 'ice cream', 'shopping bags', 'soft cheese'],\n",
              " ['candy', 'baking powder', 'canned fish'],\n",
              " ['butter', 'mustard'],\n",
              " ['beef', 'butter milk'],\n",
              " ['pip fruit', 'hamburger meat'],\n",
              " ['rolls/buns', 'red/blush wine'],\n",
              " ['sausage', 'domestic eggs'],\n",
              " ['other vegetables',\n",
              "  'butter',\n",
              "  'sausage',\n",
              "  'brown bread',\n",
              "  'canned beer',\n",
              "  'bottled beer',\n",
              "  'dessert',\n",
              "  'cream cheese '],\n",
              " ['butter',\n",
              "  'brown bread',\n",
              "  'root vegetables',\n",
              "  'pastry',\n",
              "  'ham',\n",
              "  'spread cheese'],\n",
              " ['root vegetables', 'sweet spreads'],\n",
              " ['whole milk', 'beef', 'newspapers'],\n",
              " ['whole milk', 'beef', 'frozen meals'],\n",
              " ['pip fruit', 'chocolate', 'specialty bar'],\n",
              " ['frankfurter', 'canned beer'],\n",
              " ['ice cream', 'chewing gum'],\n",
              " ['butter', 'soda'],\n",
              " ['soda', 'detergent'],\n",
              " ['domestic eggs', 'white bread'],\n",
              " ['other vegetables', 'whole milk', 'canned fruit'],\n",
              " ['soda'],\n",
              " ['citrus fruit', 'domestic eggs'],\n",
              " ['other vegetables', 'onions', 'shopping bags'],\n",
              " ['butter milk', 'bottled water', 'cleaner'],\n",
              " ['whole milk', 'rolls/buns', 'soda'],\n",
              " ['other vegetables', 'bottled beer'],\n",
              " ['bottled beer', 'sliced cheese'],\n",
              " ['tropical fruit', 'dessert'],\n",
              " ['specialty chocolate', 'whipped/sour cream'],\n",
              " ['root vegetables'],\n",
              " ['pip fruit', 'rolls/buns', 'soda'],\n",
              " ['bottled water', 'soda'],\n",
              " ['hamburger meat', 'bottled beer'],\n",
              " ['other vegetables', 'meat spreads'],\n",
              " ['root vegetables', 'canned beer'],\n",
              " ['sparkling wine', 'waffles'],\n",
              " ['other vegetables', 'citrus fruit', 'hamburger meat', 'specialty chocolate'],\n",
              " ['berries', 'white bread'],\n",
              " ['butter', 'fruit/vegetable juice', 'seasonal products'],\n",
              " ['brown bread', 'pastry'],\n",
              " ['citrus fruit', 'root vegetables'],\n",
              " ['soda', 'shopping bags'],\n",
              " ['butter', 'pastry', 'coffee', 'soda'],\n",
              " ['whole milk', 'bottled water', 'honey'],\n",
              " ['pip fruit', 'napkins'],\n",
              " ['finished products', 'liquor'],\n",
              " ['butter', 'shopping bags'],\n",
              " ['whole milk', 'soft cheese'],\n",
              " ['newspapers', 'domestic eggs'],\n",
              " ['pip fruit', 'shopping bags'],\n",
              " ['candy', 'rolls/buns', 'bottled beer', 'mayonnaise'],\n",
              " ['whole milk', 'brown bread'],\n",
              " ['beef', 'whipped/sour cream'],\n",
              " ['chocolate', 'sausage'],\n",
              " ['pip fruit', 'waffles'],\n",
              " ['citrus fruit',\n",
              "  'packaged fruit/vegetables',\n",
              "  'yogurt',\n",
              "  'root vegetables',\n",
              "  'misc. beverages',\n",
              "  'whipped/sour cream',\n",
              "  'sliced cheese'],\n",
              " ['citrus fruit', 'yogurt'],\n",
              " ['citrus fruit', 'napkins'],\n",
              " ['specialty chocolate', 'frozen fish'],\n",
              " ['other vegetables', 'newspapers', 'specialty chocolate'],\n",
              " ['sausage', 'beverages'],\n",
              " ['bottled water', 'flour', 'sugar', 'salty snack', 'canned vegetables'],\n",
              " ['whole milk', 'rolls/buns', 'popcorn', 'white bread'],\n",
              " ['rolls/buns', 'grapes'],\n",
              " ['citrus fruit', 'root vegetables'],\n",
              " ['candy', 'rolls/buns', 'dessert', 'canned fish'],\n",
              " ['brown bread', 'detergent'],\n",
              " ['whole milk', 'candles'],\n",
              " ['coffee', 'misc. beverages'],\n",
              " ['coffee', 'oil'],\n",
              " ['rolls/buns', 'yogurt'],\n",
              " ['root vegetables', 'curd cheese', 'soda', 'semi-finished bread'],\n",
              " ['yogurt', 'roll products '],\n",
              " ['chicken', 'root vegetables', 'grapes', 'bottled beer'],\n",
              " ['chocolate', 'softener'],\n",
              " ['soda', 'beverages'],\n",
              " ['yogurt', 'root vegetables'],\n",
              " ['rolls/buns', 'pastry'],\n",
              " ['pip fruit', 'sliced cheese'],\n",
              " ['whole milk', 'waffles'],\n",
              " ['bottled water', 'curd', 'white bread', 'ready soups'],\n",
              " ['whole milk', 'yogurt', 'chewing gum'],\n",
              " ['whole milk', 'oil'],\n",
              " ['sausage', 'cat food'],\n",
              " ['tropical fruit', 'hygiene articles', 'candles'],\n",
              " ['other vegetables',\n",
              "  'whole milk',\n",
              "  'rolls/buns',\n",
              "  'sausage',\n",
              "  'pastry',\n",
              "  'sugar',\n",
              "  'soda',\n",
              "  'softener'],\n",
              " ['whole milk', 'yogurt', 'semi-finished bread'],\n",
              " ['whole milk', 'frankfurter'],\n",
              " ['ham', 'pickled vegetables', 'shopping bags'],\n",
              " ['bottled water', 'soft cheese'],\n",
              " ['tropical fruit', 'butter milk'],\n",
              " ['rolls/buns', 'frozen meals'],\n",
              " ['misc. beverages', 'shopping bags'],\n",
              " ['beef', 'yogurt', 'pork'],\n",
              " ['sausage', 'dessert'],\n",
              " ['yogurt', 'shopping bags'],\n",
              " ['fruit/vegetable juice', 'specialty cheese', 'long life bakery product'],\n",
              " ['brown bread', 'ham'],\n",
              " ['butter', 'margarine'],\n",
              " ['frankfurter', 'butter', 'specialty bar', 'yogurt'],\n",
              " ['finished products', 'domestic eggs'],\n",
              " ['whole milk', 'specialty bar'],\n",
              " ['other vegetables', 'UHT-milk'],\n",
              " ['tropical fruit', 'rolls/buns', 'specialty bar', 'salty snack'],\n",
              " ['tropical fruit', 'salt'],\n",
              " ['tropical fruit', 'cat food'],\n",
              " ['beef', 'domestic eggs'],\n",
              " ['other vegetables', 'root vegetables'],\n",
              " ['beef',\n",
              "  'chicken',\n",
              "  'brown bread',\n",
              "  'pork',\n",
              "  'newspapers',\n",
              "  'dessert',\n",
              "  'margarine'],\n",
              " ['fruit/vegetable juice', 'domestic eggs'],\n",
              " ['citrus fruit', 'bottled beer'],\n",
              " ['waffles', 'syrup'],\n",
              " ['pip fruit', 'chicken', 'yogurt', 'meat'],\n",
              " ['pip fruit', 'other vegetables', 'sliced cheese', 'semi-finished bread'],\n",
              " ['yogurt', 'sauces'],\n",
              " ['root vegetables', 'grapes', 'shopping bags'],\n",
              " ['turkey', 'onions'],\n",
              " ['citrus fruit', 'long life bakery product'],\n",
              " ['brown bread', 'canned beer'],\n",
              " ['tropical fruit',\n",
              "  'whole milk',\n",
              "  'bottled water',\n",
              "  'root vegetables',\n",
              "  'pastry',\n",
              "  'soda',\n",
              "  'napkins',\n",
              "  'specialty fat'],\n",
              " ['citrus fruit', 'bottled water', 'grapes'],\n",
              " ['whole milk', 'pastry', 'dog food'],\n",
              " ['whole milk', 'sugar'],\n",
              " ['whole milk', 'butter', 'yogurt', 'sausage'],\n",
              " ['pork', 'frozen meals'],\n",
              " ['citrus fruit'],\n",
              " ['other vegetables', 'fruit/vegetable juice'],\n",
              " ['tropical fruit', 'rolls/buns', 'frozen fish'],\n",
              " ['curd', 'meat', 'cling film/bags'],\n",
              " ['tropical fruit', 'whole milk', 'meat', 'candles'],\n",
              " ['brown bread', 'canned beer'],\n",
              " ['red/blush wine', 'instant coffee'],\n",
              " ['chocolate', 'canned beer', 'margarine'],\n",
              " ['pastry', 'waffles'],\n",
              " ['rolls/buns',\n",
              "  'butter milk',\n",
              "  'specialty chocolate',\n",
              "  'onions',\n",
              "  'napkins',\n",
              "  'dental care',\n",
              "  'rice'],\n",
              " ['sausage', 'pasta'],\n",
              " ['frankfurter', 'ice cream'],\n",
              " ['bottled water', 'sugar'],\n",
              " ['canned beer', 'coffee'],\n",
              " ['condensed milk', 'onions'],\n",
              " ['citrus fruit', 'butter', 'UHT-milk'],\n",
              " ['citrus fruit', 'yogurt', 'semi-finished bread'],\n",
              " ['packaged fruit/vegetables', 'flour'],\n",
              " ['ham', 'rum'],\n",
              " ['sausage', 'specialty chocolate'],\n",
              " ['UHT-milk', 'cooking chocolate'],\n",
              " ['rolls/buns', 'pastry'],\n",
              " ['whole milk', 'curd'],\n",
              " ['white bread', 'jam'],\n",
              " ['brown bread', 'photo/film'],\n",
              " ['whole milk', 'flour', 'detergent', 'shopping bags'],\n",
              " ['other vegetables', 'bottled beer', 'dessert', 'sliced cheese'],\n",
              " ['butter milk', 'soda', 'seasonal products'],\n",
              " ['citrus fruit',\n",
              "  'beef',\n",
              "  'specialty bar',\n",
              "  'soda',\n",
              "  'domestic eggs',\n",
              "  'white bread',\n",
              "  'vinegar',\n",
              "  'long life bakery product'],\n",
              " ['pastry', 'hard cheese'],\n",
              " ['yogurt', 'whipped/sour cream'],\n",
              " ['beverages', 'bottled beer', 'photo/film'],\n",
              " ['beef', 'frozen potato products', 'white bread'],\n",
              " ['ham', 'newspapers', 'whipped/sour cream'],\n",
              " ['brown bread', 'mustard'],\n",
              " ['other vegetables', 'whole milk'],\n",
              " ['canned beer', 'sliced cheese'],\n",
              " ['canned beer', 'soda'],\n",
              " ['ham', 'domestic eggs'],\n",
              " ['frankfurter', 'pastry', 'misc. beverages'],\n",
              " ['butter milk', 'soda'],\n",
              " ['sausage', 'root vegetables'],\n",
              " ['white wine', 'photo/film', 'whipped/sour cream'],\n",
              " ['soda', 'hard cheese'],\n",
              " ['ice cream', 'onions'],\n",
              " ['pork', 'flour', 'sliced cheese'],\n",
              " ['detergent', 'grapes'],\n",
              " ['yogurt', 'margarine'],\n",
              " ['butter', 'bottled water', 'grapes'],\n",
              " ['canned beer', 'pasta'],\n",
              " ['rolls/buns', 'bottled beer'],\n",
              " ['curd', 'UHT-milk'],\n",
              " ['shopping bags', 'whipped/sour cream'],\n",
              " ['other vegetables', 'butter milk'],\n",
              " ['rolls/buns',\n",
              "  'canned beer',\n",
              "  'soda',\n",
              "  'margarine',\n",
              "  'whipped/sour cream',\n",
              "  'salty snack',\n",
              "  'waffles'],\n",
              " ['other vegetables', 'rolls/buns'],\n",
              " ['whole milk', 'chicken'],\n",
              " ['pastry', 'curd'],\n",
              " ['yogurt', 'coffee', 'shopping bags'],\n",
              " ['bottled water', 'root vegetables', 'margarine'],\n",
              " ['root vegetables', 'salty snack'],\n",
              " ['sausage', 'bottled beer', 'spread cheese'],\n",
              " ['bottled water', 'soda'],\n",
              " ['other vegetables', 'condensed milk'],\n",
              " ['processed cheese', 'dog food'],\n",
              " ['canned beer', 'bottled beer'],\n",
              " ['other vegetables', 'curd', 'abrasive cleaner'],\n",
              " ['butter', 'roll products '],\n",
              " ['shopping bags', 'waffles'],\n",
              " ['whole milk', 'cling film/bags'],\n",
              " ['pip fruit', 'newspapers', 'dishes'],\n",
              " ['rolls/buns', 'hard cheese'],\n",
              " ['tropical fruit',\n",
              "  'other vegetables',\n",
              "  'whole milk',\n",
              "  'ham',\n",
              "  'sugar',\n",
              "  'soda',\n",
              "  'white bread'],\n",
              " ['other vegetables', 'citrus fruit'],\n",
              " ['sugar', 'beverages'],\n",
              " ['misc. beverages', 'cleaner'],\n",
              " ['other vegetables', 'pork', 'cream cheese '],\n",
              " ['butter milk', 'hard cheese'],\n",
              " ['frankfurter', 'margarine'],\n",
              " ['yogurt', 'whipped/sour cream'],\n",
              " ['waffles', 'roll products '],\n",
              " ['soda', 'meat'],\n",
              " ['sausage', 'processed cheese'],\n",
              " ['whole milk', 'condensed milk'],\n",
              " ['bottled water', 'yogurt', 'finished products', 'bottled beer'],\n",
              " ['tropical fruit', 'brown bread'],\n",
              " ['other vegetables',\n",
              "  'whole milk',\n",
              "  'rolls/buns',\n",
              "  'sausage',\n",
              "  'oil',\n",
              "  'frozen vegetables',\n",
              "  'baking powder',\n",
              "  'frozen fish'],\n",
              " ['hard cheese', 'onions'],\n",
              " ['soda', 'shopping bags'],\n",
              " ['margarine', 'oil'],\n",
              " ['whole milk', 'specialty cheese'],\n",
              " ['soda', 'pasta', 'specialty chocolate', 'long life bakery product'],\n",
              " ['other vegetables', 'pasta', 'meat'],\n",
              " ['other vegetables', 'citrus fruit'],\n",
              " ['bottled water', 'sausage', 'bottled beer', 'dog food'],\n",
              " ['sugar', 'pasta', 'beverages', 'domestic eggs'],\n",
              " ['tropical fruit', 'shopping bags'],\n",
              " ['butter', 'chocolate'],\n",
              " ['sausage', 'frozen meals'],\n",
              " ['soda', 'cling film/bags'],\n",
              " ['UHT-milk', 'soft cheese'],\n",
              " ['candy', 'soda'],\n",
              " ['rolls/buns', 'bottled water', 'shopping bags', 'salty snack'],\n",
              " ['rolls/buns', 'dessert', 'condensed milk', 'shopping bags'],\n",
              " ['turkey', 'shopping bags'],\n",
              " ['tropical fruit', 'rolls/buns'],\n",
              " ['onions', 'soft cheese'],\n",
              " ['other vegetables', 'grapes'],\n",
              " ['soda', 'processed cheese', 'shopping bags', 'canned fruit'],\n",
              " ['coffee', 'white bread'],\n",
              " ['yogurt', 'canned beer'],\n",
              " ['yogurt', 'whipped/sour cream'],\n",
              " ['tropical fruit', 'berries'],\n",
              " ['other vegetables', 'UHT-milk'],\n",
              " ['other vegetables', 'frozen vegetables'],\n",
              " ['candy', 'butter'],\n",
              " ['chicken', 'butter'],\n",
              " ['citrus fruit', 'skin care'],\n",
              " ['root vegetables', 'frozen vegetables'],\n",
              " ['tropical fruit', 'pip fruit'],\n",
              " ['whole milk', 'frankfurter'],\n",
              " ['packaged fruit/vegetables', 'dessert'],\n",
              " ['margarine'],\n",
              " ['beef', 'curd'],\n",
              " ['citrus fruit', 'coffee'],\n",
              " ['frozen meals', 'soda', 'bottled beer'],\n",
              " ['other vegetables', 'chewing gum'],\n",
              " ['fruit/vegetable juice', 'canned beer', 'dessert'],\n",
              " ['chicken', 'pastry'],\n",
              " ['whole milk', 'pot plants', 'pork', 'turkey', 'soda', 'dishes'],\n",
              " ['other vegetables', 'grapes'],\n",
              " ['pastry', 'liqueur'],\n",
              " ['sausage', 'processed cheese', 'baking powder', 'specialty cheese'],\n",
              " ['ham', 'napkins'],\n",
              " ['specialty bar', 'specialty chocolate', 'white wine'],\n",
              " ['red/blush wine', 'soda'],\n",
              " ['sausage', 'coffee'],\n",
              " ['berries', 'domestic eggs'],\n",
              " ['other vegetables', 'sugar'],\n",
              " ['coffee', 'tea'],\n",
              " ['butter', 'herbs', 'UHT-milk', 'oil'],\n",
              " ['rolls/buns', 'yogurt'],\n",
              " ['cream cheese ', 'frozen dessert'],\n",
              " ['yogurt', 'coffee'],\n",
              " ['rolls/buns',\n",
              "  'fruit/vegetable juice',\n",
              "  'whipped/sour cream',\n",
              "  'frozen vegetables'],\n",
              " ['hamburger meat', 'coffee'],\n",
              " ['whole milk', 'shopping bags'],\n",
              " ['whole milk', 'ice cream'],\n",
              " ['sausage', 'grapes', 'sliced cheese', 'napkins'],\n",
              " ['fruit/vegetable juice', 'berries'],\n",
              " ['root vegetables', 'pork'],\n",
              " ['pip fruit', 'shopping bags'],\n",
              " ['sausage', 'curd'],\n",
              " ['whole milk', 'domestic eggs', 'canned vegetables', 'flower (seeds)'],\n",
              " ['rolls/buns', 'flour', 'hard cheese'],\n",
              " ['sugar', 'frozen meals', 'organic sausage'],\n",
              " ['whole milk', 'pickled vegetables', 'onions'],\n",
              " ['other vegetables', 'citrus fruit'],\n",
              " ['frozen meals', 'bottled beer'],\n",
              " ['tropical fruit', 'yogurt', 'soda', 'semi-finished bread'],\n",
              " ['tropical fruit', 'butter', 'white bread'],\n",
              " ['tropical fruit', 'specialty bar'],\n",
              " ['bottled water', 'pastry'],\n",
              " ['sugar', 'curd'],\n",
              " ['tropical fruit', 'other vegetables', 'sausage', 'mayonnaise'],\n",
              " ['other vegetables', 'whole milk', 'soda'],\n",
              " ['brown bread', 'pork'],\n",
              " ['root vegetables', 'UHT-milk', 'canned fish', 'waffles'],\n",
              " ['pip fruit',\n",
              "  'other vegetables',\n",
              "  'citrus fruit',\n",
              "  'chicken',\n",
              "  'pastry',\n",
              "  'curd',\n",
              "  'specialty chocolate',\n",
              "  'cream cheese '],\n",
              " ['yogurt', 'pork'],\n",
              " ['other vegetables', 'hamburger meat', 'domestic eggs'],\n",
              " ['tropical fruit', 'red/blush wine', 'shopping bags'],\n",
              " ['other vegetables', 'sliced cheese'],\n",
              " ['whole milk', 'butter'],\n",
              " ['oil', 'canned fish'],\n",
              " ['whole milk', 'misc. beverages'],\n",
              " ['white wine', 'sauces'],\n",
              " ['other vegetables', 'brown bread', 'margarine'],\n",
              " ['red/blush wine', 'frozen meals', 'canned fruit'],\n",
              " ['other vegetables', 'whole milk', 'butter milk', 'liquor'],\n",
              " ['rolls/buns', 'seasonal products'],\n",
              " ['tropical fruit', 'root vegetables'],\n",
              " ['other vegetables', 'whole milk', 'softener'],\n",
              " ['citrus fruit', 'cereals'],\n",
              " ['flower soil/fertilizer', 'cake bar'],\n",
              " ['pork', 'napkins'],\n",
              " ['specialty bar', 'cleaner'],\n",
              " ['whole milk', 'artif. sweetener'],\n",
              " ['pork', 'pastry'],\n",
              " ['other vegetables', 'coffee', 'specialty cheese'],\n",
              " ['rolls/buns', 'dessert'],\n",
              " ['cream cheese ', 'tidbits'],\n",
              " ['curd', 'hygiene articles'],\n",
              " ['rolls/buns', 'dental care'],\n",
              " ['butter', 'root vegetables', 'dessert'],\n",
              " ['citrus fruit', 'pastry'],\n",
              " ['citrus fruit', 'salt'],\n",
              " ['other vegetables', 'whole milk'],\n",
              " ['sausage', 'onions', 'mustard'],\n",
              " ['butter milk', 'frozen potato products', 'domestic eggs', 'shopping bags'],\n",
              " ['specialty chocolate', 'white bread'],\n",
              " ['butter', 'ice cream'],\n",
              " ['dessert', 'house keeping products'],\n",
              " ['condensed milk', 'hard cheese'],\n",
              " ['yogurt', 'hard cheese'],\n",
              " ['whole milk', 'rolls/buns', 'sausage', 'bottled beer'],\n",
              " ['whole milk', 'cream cheese ', 'semi-finished bread'],\n",
              " ['rolls/buns', 'sausage'],\n",
              " ['frankfurter', 'shopping bags'],\n",
              " ['whole milk',\n",
              "  'pot plants',\n",
              "  'yogurt',\n",
              "  'dessert',\n",
              "  'photo/film',\n",
              "  'white bread'],\n",
              " ...]"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from mlxtend.frequent_patterns import apriori\n",
        "x = apriori(data, min_support=0.2, use_colnames=True)"
      ],
      "metadata": {
        "id": "CTMvcY3Y7Tez"
      },
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from apyori import apriori\n",
        "association = apriori(newdata ,min_support = 0.02 ,min_confidence = 0.01 ,max_length=3,min_lift =3)"
      ],
      "metadata": {
        "id": "x7AqHH4Y-2l7"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "- `min_support`    --> The minimum support of relations \n",
        "- `min_confidence` --> The minimum confidence of relatins\n",
        "- `min_lift`       --> The minimum lift of relations\n",
        "- `ma_length`      --> The maximum length  of the relation\n"
      ],
      "metadata": {
        "id": "klqFljHs4iS4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "result = list(association)\n",
        "result"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SP1TfdpB8uoM",
        "outputId": "7cdefa61-64a4-4337-fda8-ae97cc917961"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[]"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "sTb_ObIAGE1S"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}