book_recommend.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "db670068",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set(style=\"darkgrid\")\n",
    "import warnings\n",
    "warnings.simplefilter(\"ignore\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f7a6631b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "b'Skipping line 3350: expected 12 fields, saw 13\\nSkipping line 4704: expected 12 fields, saw 13\\nSkipping line 5879: expected 12 fields, saw 13\\nSkipping line 8981: expected 12 fields, saw 13\\n'\n"
     ]
    }
   ],
   "source": [
    "data=pd.read_csv(\"books.csv\",error_bad_lines=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "59de7f9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>bookID</th>\n",
       "      <th>title</th>\n",
       "      <th>authors</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>isbn</th>\n",
       "      <th>isbn13</th>\n",
       "      <th>language_code</th>\n",
       "      <th>num_pages</th>\n",
       "      <th>ratings_count</th>\n",
       "      <th>text_reviews_count</th>\n",
       "      <th>publication_date</th>\n",
       "      <th>publisher</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Harry Potter and the Half-Blood Prince (Harry ...</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.57</td>\n",
       "      <td>0439785960</td>\n",
       "      <td>9780439785969</td>\n",
       "      <td>eng</td>\n",
       "      <td>652</td>\n",
       "      <td>2095690</td>\n",
       "      <td>27591</td>\n",
       "      <td>9/16/2006</td>\n",
       "      <td>Scholastic Inc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Harry Potter and the Order of the Phoenix (Har...</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.49</td>\n",
       "      <td>0439358078</td>\n",
       "      <td>9780439358071</td>\n",
       "      <td>eng</td>\n",
       "      <td>870</td>\n",
       "      <td>2153167</td>\n",
       "      <td>29221</td>\n",
       "      <td>9/1/2004</td>\n",
       "      <td>Scholastic Inc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>Harry Potter and the Chamber of Secrets (Harry...</td>\n",
       "      <td>J.K. Rowling</td>\n",
       "      <td>4.42</td>\n",
       "      <td>0439554896</td>\n",
       "      <td>9780439554893</td>\n",
       "      <td>eng</td>\n",
       "      <td>352</td>\n",
       "      <td>6333</td>\n",
       "      <td>244</td>\n",
       "      <td>11/1/2003</td>\n",
       "      <td>Scholastic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>Harry Potter and the Prisoner of Azkaban (Harr...</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.56</td>\n",
       "      <td>043965548X</td>\n",
       "      <td>9780439655484</td>\n",
       "      <td>eng</td>\n",
       "      <td>435</td>\n",
       "      <td>2339585</td>\n",
       "      <td>36325</td>\n",
       "      <td>5/1/2004</td>\n",
       "      <td>Scholastic Inc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>Harry Potter Boxed Set  Books 1-5 (Harry Potte...</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.78</td>\n",
       "      <td>0439682584</td>\n",
       "      <td>9780439682589</td>\n",
       "      <td>eng</td>\n",
       "      <td>2690</td>\n",
       "      <td>41428</td>\n",
       "      <td>164</td>\n",
       "      <td>9/13/2004</td>\n",
       "      <td>Scholastic</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   bookID                                              title  \\\n",
       "0       1  Harry Potter and the Half-Blood Prince (Harry ...   \n",
       "1       2  Harry Potter and the Order of the Phoenix (Har...   \n",
       "2       4  Harry Potter and the Chamber of Secrets (Harry...   \n",
       "3       5  Harry Potter and the Prisoner of Azkaban (Harr...   \n",
       "4       8  Harry Potter Boxed Set  Books 1-5 (Harry Potte...   \n",
       "\n",
       "                      authors  average_rating        isbn         isbn13  \\\n",
       "0  J.K. Rowling/Mary GrandPré            4.57  0439785960  9780439785969   \n",
       "1  J.K. Rowling/Mary GrandPré            4.49  0439358078  9780439358071   \n",
       "2                J.K. Rowling            4.42  0439554896  9780439554893   \n",
       "3  J.K. Rowling/Mary GrandPré            4.56  043965548X  9780439655484   \n",
       "4  J.K. Rowling/Mary GrandPré            4.78  0439682584  9780439682589   \n",
       "\n",
       "  language_code    num_pages  ratings_count  text_reviews_count  \\\n",
       "0           eng          652        2095690               27591   \n",
       "1           eng          870        2153167               29221   \n",
       "2           eng          352           6333                 244   \n",
       "3           eng          435        2339585               36325   \n",
       "4           eng         2690          41428                 164   \n",
       "\n",
       "  publication_date        publisher  \n",
       "0        9/16/2006  Scholastic Inc.  \n",
       "1         9/1/2004  Scholastic Inc.  \n",
       "2        11/1/2003       Scholastic  \n",
       "3         5/1/2004  Scholastic Inc.  \n",
       "4        9/13/2004       Scholastic  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8867b87d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bookID                0\n",
       "title                 0\n",
       "authors               0\n",
       "average_rating        0\n",
       "isbn                  0\n",
       "isbn13                0\n",
       "language_code         0\n",
       "  num_pages           0\n",
       "ratings_count         0\n",
       "text_reviews_count    0\n",
       "publication_date      0\n",
       "publisher             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "741dfef0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11123, 12)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "030de6f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "language=pd.DataFrame(data.groupby(\"language_code\").publisher.value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "be2f9279",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>publisher</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>language_code</th>\n",
       "      <th>publisher</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ale</th>\n",
       "      <th>Ballantine Books</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ara</th>\n",
       "      <th>American University in Cairo Press</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">en-CA</th>\n",
       "      <th>CDS Books</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Candlewick Press</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HarperOne</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">zho</th>\n",
       "      <th>東立</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>皇冠文化出版有限公司</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>聯經出版事業股份有限公司</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>時報出版</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>英文漢聲出版股份有限公司</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2921 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  publisher\n",
       "language_code publisher                                    \n",
       "ale           Ballantine Books                            1\n",
       "ara           American University in Cairo Press          1\n",
       "en-CA         CDS Books                                   1\n",
       "              Candlewick Press                            1\n",
       "              HarperOne                                   1\n",
       "...                                                     ...\n",
       "zho           東立                                          8\n",
       "              皇冠文化出版有限公司                                  2\n",
       "              聯經出版事業股份有限公司                                2\n",
       "              時報出版                                        1\n",
       "              英文漢聲出版股份有限公司                                1\n",
       "\n",
       "[2921 rows x 1 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "language"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ec26fb94",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 11123 entries, 0 to 11122\n",
      "Data columns (total 12 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   bookID              11123 non-null  int64  \n",
      " 1   title               11123 non-null  object \n",
      " 2   authors             11123 non-null  object \n",
      " 3   average_rating      11123 non-null  float64\n",
      " 4   isbn                11123 non-null  object \n",
      " 5   isbn13              11123 non-null  int64  \n",
      " 6   language_code       11123 non-null  object \n",
      " 7     num_pages         11123 non-null  int64  \n",
      " 8   ratings_count       11123 non-null  int64  \n",
      " 9   text_reviews_count  11123 non-null  int64  \n",
      " 10  publication_date    11123 non-null  object \n",
      " 11  publisher           11123 non-null  object \n",
      "dtypes: float64(1), int64(5), object(6)\n",
      "memory usage: 1.0+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2a43d9b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bookID</th>\n",
       "      <th>title</th>\n",
       "      <th>authors</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>isbn</th>\n",
       "      <th>isbn13</th>\n",
       "      <th>language_code</th>\n",
       "      <th>num_pages</th>\n",
       "      <th>ratings_count</th>\n",
       "      <th>text_reviews_count</th>\n",
       "      <th>publication_date</th>\n",
       "      <th>publisher</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Harry Potter and the Half-Blood Prince (Harry ...</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.57</td>\n",
       "      <td>0439785960</td>\n",
       "      <td>9780439785969</td>\n",
       "      <td>eng</td>\n",
       "      <td>652</td>\n",
       "      <td>2095690</td>\n",
       "      <td>27591</td>\n",
       "      <td>9/16/2006</td>\n",
       "      <td>Scholastic Inc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Harry Potter and the Order of the Phoenix (Har...</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.49</td>\n",
       "      <td>0439358078</td>\n",
       "      <td>9780439358071</td>\n",
       "      <td>eng</td>\n",
       "      <td>870</td>\n",
       "      <td>2153167</td>\n",
       "      <td>29221</td>\n",
       "      <td>9/1/2004</td>\n",
       "      <td>Scholastic Inc.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   bookID                                              title  \\\n",
       "0       1  Harry Potter and the Half-Blood Prince (Harry ...   \n",
       "1       2  Harry Potter and the Order of the Phoenix (Har...   \n",
       "\n",
       "                      authors  average_rating        isbn         isbn13  \\\n",
       "0  J.K. Rowling/Mary GrandPré            4.57  0439785960  9780439785969   \n",
       "1  J.K. Rowling/Mary GrandPré            4.49  0439358078  9780439358071   \n",
       "\n",
       "  language_code    num_pages  ratings_count  text_reviews_count  \\\n",
       "0           eng          652        2095690               27591   \n",
       "1           eng          870        2153167               29221   \n",
       "\n",
       "  publication_date        publisher  \n",
       "0        9/16/2006  Scholastic Inc.  \n",
       "1         9/1/2004  Scholastic Inc.  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76ad29b9",
   "metadata": {},
   "source": [
    "# calculating weighted average"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3466b91f",
   "metadata": {},
   "outputs": [],
   "source": [
    "v=data[\"ratings_count\"]\n",
    "R=data[\"average_rating\"]\n",
    "C=data[\"average_rating\"].mean()\n",
    "m=data[\"ratings_count\"].quantile(0.70)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f5f05a42",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"weighted_average\"]=((R*v)+(C*m))/(v+m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9d4c5e29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    4.569008\n",
       "1    4.489156\n",
       "Name: weighted_average, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.weighted_average.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b4bbbc1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "data=data.sort_values('weighted_average',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d0e4f83a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>ratings_count</th>\n",
       "      <th>authors</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6587</th>\n",
       "      <td>The Complete Calvin and Hobbes</td>\n",
       "      <td>32213</td>\n",
       "      <td>Bill Watterson</td>\n",
       "      <td>4.82</td>\n",
       "      <td>4.738274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Harry Potter Boxed Set  Books 1-5 (Harry Potte...</td>\n",
       "      <td>41428</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.78</td>\n",
       "      <td>4.718051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6589</th>\n",
       "      <td>It's a Magical World (Calvin and Hobbes  #11)</td>\n",
       "      <td>23875</td>\n",
       "      <td>Bill Watterson</td>\n",
       "      <td>4.76</td>\n",
       "      <td>4.660409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Harry Potter Collection (Harry Potter  #1-6)</td>\n",
       "      <td>28242</td>\n",
       "      <td>J.K. Rowling</td>\n",
       "      <td>4.73</td>\n",
       "      <td>4.647325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6588</th>\n",
       "      <td>The Calvin and Hobbes Tenth Anniversary Book</td>\n",
       "      <td>49122</td>\n",
       "      <td>Bill Watterson</td>\n",
       "      <td>4.63</td>\n",
       "      <td>4.586520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6591</th>\n",
       "      <td>The Days Are Just Packed</td>\n",
       "      <td>20308</td>\n",
       "      <td>Bill Watterson</td>\n",
       "      <td>4.69</td>\n",
       "      <td>4.585062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6590</th>\n",
       "      <td>Homicidal Psycho Jungle Cat (Calvin and Hobbes...</td>\n",
       "      <td>15365</td>\n",
       "      <td>Bill Watterson</td>\n",
       "      <td>4.72</td>\n",
       "      <td>4.581964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>J.R.R. Tolkien 4-Book Boxed Set: The Hobbit an...</td>\n",
       "      <td>101233</td>\n",
       "      <td>J.R.R. Tolkien</td>\n",
       "      <td>4.59</td>\n",
       "      <td>4.569454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Harry Potter and the Half-Blood Prince (Harry ...</td>\n",
       "      <td>2095690</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.57</td>\n",
       "      <td>4.569008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Harry Potter and the Prisoner of Azkaban (Harr...</td>\n",
       "      <td>2339585</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.56</td>\n",
       "      <td>4.559125</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  title  ratings_count  \\\n",
       "6587                     The Complete Calvin and Hobbes          32213   \n",
       "4     Harry Potter Boxed Set  Books 1-5 (Harry Potte...          41428   \n",
       "6589      It's a Magical World (Calvin and Hobbes  #11)          23875   \n",
       "6          Harry Potter Collection (Harry Potter  #1-6)          28242   \n",
       "6588       The Calvin and Hobbes Tenth Anniversary Book          49122   \n",
       "6591                           The Days Are Just Packed          20308   \n",
       "6590  Homicidal Psycho Jungle Cat (Calvin and Hobbes...          15365   \n",
       "21    J.R.R. Tolkien 4-Book Boxed Set: The Hobbit an...         101233   \n",
       "0     Harry Potter and the Half-Blood Prince (Harry ...        2095690   \n",
       "3     Harry Potter and the Prisoner of Azkaban (Harr...        2339585   \n",
       "\n",
       "                         authors  average_rating  weighted_average  \n",
       "6587              Bill Watterson            4.82          4.738274  \n",
       "4     J.K. Rowling/Mary GrandPré            4.78          4.718051  \n",
       "6589              Bill Watterson            4.76          4.660409  \n",
       "6                   J.K. Rowling            4.73          4.647325  \n",
       "6588              Bill Watterson            4.63          4.586520  \n",
       "6591              Bill Watterson            4.69          4.585062  \n",
       "6590              Bill Watterson            4.72          4.581964  \n",
       "21                J.R.R. Tolkien            4.59          4.569454  \n",
       "0     J.K. Rowling/Mary GrandPré            4.57          4.569008  \n",
       "3     J.K. Rowling/Mary GrandPré            4.56          4.559125  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['title','ratings_count',\"authors\",\"average_rating\",\"weighted_average\"]].head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "511b73cb",
   "metadata": {},
   "source": [
    "# plotting best books on the basis of average rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6b9b9fd7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "weight_average=data.sort_values(\"weighted_average\",ascending=False)\n",
    "plt.figure(figsize=(12,6))\n",
    "axis1=sns.barplot(x=weight_average[\"weighted_average\"].head(10),y=weight_average[\"title\"].head(10),data=weight_average)\n",
    "plt.xlim(4,10)\n",
    "plt.title(\"best books by average rating\",weight=\"bold\")\n",
    "plt.xlabel(\"weighted average score\",weight='bold')\n",
    "plt.ylabel(\"books tile\",weight=\"bold\")\n",
    "plt.savefig(\"image1.jpg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2ea8e70b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>weighted_average</th>\n",
       "      <th>average_rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.988649</td>\n",
       "      <td>0.956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.956295</td>\n",
       "      <td>0.952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.948951</td>\n",
       "      <td>0.946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.914821</td>\n",
       "      <td>0.926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.914003</td>\n",
       "      <td>0.938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.912263</td>\n",
       "      <td>0.944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.905242</td>\n",
       "      <td>0.918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.904992</td>\n",
       "      <td>0.914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.899444</td>\n",
       "      <td>0.912</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   weighted_average  average_rating\n",
       "0          1.000000           0.964\n",
       "1          0.988649           0.956\n",
       "2          0.956295           0.952\n",
       "3          0.948951           0.946\n",
       "4          0.914821           0.926\n",
       "5          0.914003           0.938\n",
       "6          0.912263           0.944\n",
       "7          0.905242           0.918\n",
       "8          0.904992           0.914\n",
       "9          0.899444           0.912"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "scaling=MinMaxScaler()\n",
    "books_data=scaling.fit_transform(data[[\"weighted_average\",\"average_rating\"]])\n",
    "books_scaled_data=pd.DataFrame(books_data,columns=[\"weighted_average\",\"average_rating\"])\n",
    "books_scaled_data.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "00aeec02",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[[\"scaled_weighted_average\",\"scaled_rating\"]]=books_scaled_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ddaa8546",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bookID</th>\n",
       "      <th>title</th>\n",
       "      <th>authors</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>isbn</th>\n",
       "      <th>isbn13</th>\n",
       "      <th>language_code</th>\n",
       "      <th>num_pages</th>\n",
       "      <th>ratings_count</th>\n",
       "      <th>text_reviews_count</th>\n",
       "      <th>publication_date</th>\n",
       "      <th>publisher</th>\n",
       "      <th>weighted_average</th>\n",
       "      <th>scaled_weighted_average</th>\n",
       "      <th>scaled_rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6587</th>\n",
       "      <td>24812</td>\n",
       "      <td>The Complete Calvin and Hobbes</td>\n",
       "      <td>Bill Watterson</td>\n",
       "      <td>4.82</td>\n",
       "      <td>0740748475</td>\n",
       "      <td>9780740748479</td>\n",
       "      <td>eng</td>\n",
       "      <td>1456</td>\n",
       "      <td>32213</td>\n",
       "      <td>930</td>\n",
       "      <td>9/6/2005</td>\n",
       "      <td>Andrews McMeel Publishing</td>\n",
       "      <td>4.738274</td>\n",
       "      <td>0.548068</td>\n",
       "      <td>0.782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>Harry Potter Boxed Set  Books 1-5 (Harry Potte...</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.78</td>\n",
       "      <td>0439682584</td>\n",
       "      <td>9780439682589</td>\n",
       "      <td>eng</td>\n",
       "      <td>2690</td>\n",
       "      <td>41428</td>\n",
       "      <td>164</td>\n",
       "      <td>9/13/2004</td>\n",
       "      <td>Scholastic</td>\n",
       "      <td>4.718051</td>\n",
       "      <td>0.914821</td>\n",
       "      <td>0.926</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      bookID                                              title  \\\n",
       "6587   24812                     The Complete Calvin and Hobbes   \n",
       "4          8  Harry Potter Boxed Set  Books 1-5 (Harry Potte...   \n",
       "\n",
       "                         authors  average_rating        isbn         isbn13  \\\n",
       "6587              Bill Watterson            4.82  0740748475  9780740748479   \n",
       "4     J.K. Rowling/Mary GrandPré            4.78  0439682584  9780439682589   \n",
       "\n",
       "     language_code    num_pages  ratings_count  text_reviews_count  \\\n",
       "6587           eng         1456          32213                 930   \n",
       "4              eng         2690          41428                 164   \n",
       "\n",
       "     publication_date                  publisher  weighted_average  \\\n",
       "6587         9/6/2005  Andrews McMeel Publishing          4.738274   \n",
       "4           9/13/2004                 Scholastic          4.718051   \n",
       "\n",
       "      scaled_weighted_average  scaled_rating  \n",
       "6587                 0.548068          0.782  \n",
       "4                    0.914821          0.926  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33c8a471",
   "metadata": {},
   "source": [
    "# giving 50% importance to both rating and weighted average"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "904ac6d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>scaled_weighted_average</th>\n",
       "      <th>scaled_rating</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Harry Potter and the Half-Blood Prince (Harry ...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.964</td>\n",
       "      <td>0.982000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Harry Potter and the Order of the Phoenix (Har...</td>\n",
       "      <td>0.988649</td>\n",
       "      <td>0.956</td>\n",
       "      <td>0.972324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Harry Potter and the Chamber of Secrets (Harry...</td>\n",
       "      <td>0.956295</td>\n",
       "      <td>0.952</td>\n",
       "      <td>0.954147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Harry Potter and the Prisoner of Azkaban (Harr...</td>\n",
       "      <td>0.948951</td>\n",
       "      <td>0.946</td>\n",
       "      <td>0.947475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Harry Potter Collection (Harry Potter  #1-6)</td>\n",
       "      <td>0.912263</td>\n",
       "      <td>0.944</td>\n",
       "      <td>0.928132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Unauthorized Harry Potter Book Seven News: \"Ha...</td>\n",
       "      <td>0.914003</td>\n",
       "      <td>0.938</td>\n",
       "      <td>0.926001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Harry Potter Boxed Set  Books 1-5 (Harry Potte...</td>\n",
       "      <td>0.914821</td>\n",
       "      <td>0.926</td>\n",
       "      <td>0.920410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>The Ultimate Hitchhiker's Guide: Five Complete...</td>\n",
       "      <td>0.905242</td>\n",
       "      <td>0.918</td>\n",
       "      <td>0.911621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>The Ultimate Hitchhiker's Guide to the Galaxy ...</td>\n",
       "      <td>0.904992</td>\n",
       "      <td>0.914</td>\n",
       "      <td>0.909496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>The Hitchhiker's Guide to the Galaxy (Hitchhik...</td>\n",
       "      <td>0.899444</td>\n",
       "      <td>0.912</td>\n",
       "      <td>0.905722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>The Ultimate Hitchhiker's Guide (Hitchhiker's ...</td>\n",
       "      <td>0.880900</td>\n",
       "      <td>0.930</td>\n",
       "      <td>0.905450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>The Hitchhiker's Guide to the Galaxy (Hitchhik...</td>\n",
       "      <td>0.884460</td>\n",
       "      <td>0.910</td>\n",
       "      <td>0.897230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>A Short History of Nearly Everything</td>\n",
       "      <td>0.875817</td>\n",
       "      <td>0.918</td>\n",
       "      <td>0.896908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Bill Bryson's African Diary</td>\n",
       "      <td>0.868177</td>\n",
       "      <td>0.908</td>\n",
       "      <td>0.888089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>In a Sunburned Country</td>\n",
       "      <td>0.857573</td>\n",
       "      <td>0.916</td>\n",
       "      <td>0.886786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Notes from a Small Island</td>\n",
       "      <td>0.847723</td>\n",
       "      <td>0.912</td>\n",
       "      <td>0.879862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Neither Here nor There: Travels in Europe</td>\n",
       "      <td>0.848883</td>\n",
       "      <td>0.910</td>\n",
       "      <td>0.879442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Bryson's Dictionary of Troublesome Words: A Wr...</td>\n",
       "      <td>0.860171</td>\n",
       "      <td>0.898</td>\n",
       "      <td>0.879085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>I'm a Stranger Here Myself: Notes on Returning...</td>\n",
       "      <td>0.857165</td>\n",
       "      <td>0.900</td>\n",
       "      <td>0.878583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>The Lost Continent: Travels in Small Town America</td>\n",
       "      <td>0.850776</td>\n",
       "      <td>0.904</td>\n",
       "      <td>0.877388</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                title  \\\n",
       "0   Harry Potter and the Half-Blood Prince (Harry ...   \n",
       "1   Harry Potter and the Order of the Phoenix (Har...   \n",
       "2   Harry Potter and the Chamber of Secrets (Harry...   \n",
       "3   Harry Potter and the Prisoner of Azkaban (Harr...   \n",
       "6        Harry Potter Collection (Harry Potter  #1-6)   \n",
       "5   Unauthorized Harry Potter Book Seven News: \"Ha...   \n",
       "4   Harry Potter Boxed Set  Books 1-5 (Harry Potte...   \n",
       "7   The Ultimate Hitchhiker's Guide: Five Complete...   \n",
       "8   The Ultimate Hitchhiker's Guide to the Galaxy ...   \n",
       "9   The Hitchhiker's Guide to the Galaxy (Hitchhik...   \n",
       "11  The Ultimate Hitchhiker's Guide (Hitchhiker's ...   \n",
       "10  The Hitchhiker's Guide to the Galaxy (Hitchhik...   \n",
       "12               A Short History of Nearly Everything   \n",
       "13                        Bill Bryson's African Diary   \n",
       "15                             In a Sunburned Country   \n",
       "19                          Notes from a Small Island   \n",
       "18          Neither Here nor There: Travels in Europe   \n",
       "14  Bryson's Dictionary of Troublesome Words: A Wr...   \n",
       "16  I'm a Stranger Here Myself: Notes on Returning...   \n",
       "17  The Lost Continent: Travels in Small Town America   \n",
       "\n",
       "    scaled_weighted_average  scaled_rating     score  \n",
       "0                  1.000000          0.964  0.982000  \n",
       "1                  0.988649          0.956  0.972324  \n",
       "2                  0.956295          0.952  0.954147  \n",
       "3                  0.948951          0.946  0.947475  \n",
       "6                  0.912263          0.944  0.928132  \n",
       "5                  0.914003          0.938  0.926001  \n",
       "4                  0.914821          0.926  0.920410  \n",
       "7                  0.905242          0.918  0.911621  \n",
       "8                  0.904992          0.914  0.909496  \n",
       "9                  0.899444          0.912  0.905722  \n",
       "11                 0.880900          0.930  0.905450  \n",
       "10                 0.884460          0.910  0.897230  \n",
       "12                 0.875817          0.918  0.896908  \n",
       "13                 0.868177          0.908  0.888089  \n",
       "15                 0.857573          0.916  0.886786  \n",
       "19                 0.847723          0.912  0.879862  \n",
       "18                 0.848883          0.910  0.879442  \n",
       "14                 0.860171          0.898  0.879085  \n",
       "16                 0.857165          0.900  0.878583  \n",
       "17                 0.850776          0.904  0.877388  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"score\"]=data[\"scaled_weighted_average\"]*0.5+data[\"scaled_rating\"]*0.5\n",
    "data=data.sort_values([\"score\"],ascending=False)\n",
    "data[[\"title\",\"scaled_weighted_average\",\"scaled_rating\",\"score\"]].head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "463b23fc",
   "metadata": {},
   "source": [
    "# plotting best books on the basis of score calculated above"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "5461355e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "score_data=data.sort_values('score',ascending=False)\n",
    "plt.figure(figsize=(10,5))\n",
    "ax=sns.barplot(x=score_data[\"score\"].head(20),y=score_data[\"title\"].head(20),data=score_data,palette=\"deep\")\n",
    "plt.title(\"best rated\",weight=\"bold\")\n",
    "plt.xlabel(\"score\",weight=\"bold\")\n",
    "plt.ylabel(\"book title\",weight=\"bold\")\n",
    "plt.savefig(\"image2.jpg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "72b79d91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bookID</th>\n",
       "      <th>title</th>\n",
       "      <th>authors</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>isbn</th>\n",
       "      <th>isbn13</th>\n",
       "      <th>language_code</th>\n",
       "      <th>num_pages</th>\n",
       "      <th>ratings_count</th>\n",
       "      <th>text_reviews_count</th>\n",
       "      <th>publication_date</th>\n",
       "      <th>publisher</th>\n",
       "      <th>weighted_average</th>\n",
       "      <th>scaled_weighted_average</th>\n",
       "      <th>scaled_rating</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Harry Potter and the Half-Blood Prince (Harry ...</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.57</td>\n",
       "      <td>0439785960</td>\n",
       "      <td>9780439785969</td>\n",
       "      <td>eng</td>\n",
       "      <td>652</td>\n",
       "      <td>2095690</td>\n",
       "      <td>27591</td>\n",
       "      <td>9/16/2006</td>\n",
       "      <td>Scholastic Inc.</td>\n",
       "      <td>4.569008</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.964</td>\n",
       "      <td>0.982000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Harry Potter and the Order of the Phoenix (Har...</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.49</td>\n",
       "      <td>0439358078</td>\n",
       "      <td>9780439358071</td>\n",
       "      <td>eng</td>\n",
       "      <td>870</td>\n",
       "      <td>2153167</td>\n",
       "      <td>29221</td>\n",
       "      <td>9/1/2004</td>\n",
       "      <td>Scholastic Inc.</td>\n",
       "      <td>4.489156</td>\n",
       "      <td>0.988649</td>\n",
       "      <td>0.956</td>\n",
       "      <td>0.972324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>Harry Potter and the Chamber of Secrets (Harry...</td>\n",
       "      <td>J.K. Rowling</td>\n",
       "      <td>4.42</td>\n",
       "      <td>0439554896</td>\n",
       "      <td>9780439554893</td>\n",
       "      <td>eng</td>\n",
       "      <td>352</td>\n",
       "      <td>6333</td>\n",
       "      <td>244</td>\n",
       "      <td>11/1/2003</td>\n",
       "      <td>Scholastic</td>\n",
       "      <td>4.254414</td>\n",
       "      <td>0.956295</td>\n",
       "      <td>0.952</td>\n",
       "      <td>0.954147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>Harry Potter and the Prisoner of Azkaban (Harr...</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.56</td>\n",
       "      <td>043965548X</td>\n",
       "      <td>9780439655484</td>\n",
       "      <td>eng</td>\n",
       "      <td>435</td>\n",
       "      <td>2339585</td>\n",
       "      <td>36325</td>\n",
       "      <td>5/1/2004</td>\n",
       "      <td>Scholastic Inc.</td>\n",
       "      <td>4.559125</td>\n",
       "      <td>0.948951</td>\n",
       "      <td>0.946</td>\n",
       "      <td>0.947475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter Collection (Harry Potter  #1-6)</td>\n",
       "      <td>J.K. Rowling</td>\n",
       "      <td>4.73</td>\n",
       "      <td>0439827604</td>\n",
       "      <td>9780439827607</td>\n",
       "      <td>eng</td>\n",
       "      <td>3342</td>\n",
       "      <td>28242</td>\n",
       "      <td>808</td>\n",
       "      <td>9/12/2005</td>\n",
       "      <td>Scholastic</td>\n",
       "      <td>4.647325</td>\n",
       "      <td>0.912263</td>\n",
       "      <td>0.944</td>\n",
       "      <td>0.928132</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   bookID                                              title  \\\n",
       "0       1  Harry Potter and the Half-Blood Prince (Harry ...   \n",
       "1       2  Harry Potter and the Order of the Phoenix (Har...   \n",
       "2       4  Harry Potter and the Chamber of Secrets (Harry...   \n",
       "3       5  Harry Potter and the Prisoner of Azkaban (Harr...   \n",
       "6      10       Harry Potter Collection (Harry Potter  #1-6)   \n",
       "\n",
       "                      authors  average_rating        isbn         isbn13  \\\n",
       "0  J.K. Rowling/Mary GrandPré            4.57  0439785960  9780439785969   \n",
       "1  J.K. Rowling/Mary GrandPré            4.49  0439358078  9780439358071   \n",
       "2                J.K. Rowling            4.42  0439554896  9780439554893   \n",
       "3  J.K. Rowling/Mary GrandPré            4.56  043965548X  9780439655484   \n",
       "6                J.K. Rowling            4.73  0439827604  9780439827607   \n",
       "\n",
       "  language_code    num_pages  ratings_count  text_reviews_count  \\\n",
       "0           eng          652        2095690               27591   \n",
       "1           eng          870        2153167               29221   \n",
       "2           eng          352           6333                 244   \n",
       "3           eng          435        2339585               36325   \n",
       "6           eng         3342          28242                 808   \n",
       "\n",
       "  publication_date        publisher  weighted_average  \\\n",
       "0        9/16/2006  Scholastic Inc.          4.569008   \n",
       "1         9/1/2004  Scholastic Inc.          4.489156   \n",
       "2        11/1/2003       Scholastic          4.254414   \n",
       "3         5/1/2004  Scholastic Inc.          4.559125   \n",
       "6        9/12/2005       Scholastic          4.647325   \n",
       "\n",
       "   scaled_weighted_average  scaled_rating     score  \n",
       "0                 1.000000          0.964  0.982000  \n",
       "1                 0.988649          0.956  0.972324  \n",
       "2                 0.956295          0.952  0.954147  \n",
       "3                 0.948951          0.946  0.947475  \n",
       "6                 0.912263          0.944  0.928132  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "05bbe9e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.sparse import csr_matrix\n",
    "user_rating=data.drop_duplicates([\"bookID\",\"title\"])\n",
    "user_rating_pivots=data.pivot(index=\"title\",columns=\"bookID\",values=\"score\").fillna(0)\n",
    "user_rating_matrix=csr_matrix(user_rating_pivots.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "69aaa015",
   "metadata": {},
   "outputs": [
    {
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       "      <th>bookID</th>\n",
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       "      <th>title</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "    <tr>\n",
       "      <th>'Salem's Lot</th>\n",
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       "      <th>鋼之鍊金術師 6</th>\n",
       "      <td>0.0</td>\n",
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       "      <th>鋼之鍊金術師 9</th>\n",
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       "    <tr>\n",
       "      <th>魔戒二部曲：雙城奇謀</th>\n",
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       "    <tr>\n",
       "      <th>魔戒首部曲：魔戒現身</th>\n",
       "      <td>0.0</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10348 rows × 11123 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "bookID                                              1      2      4      \\\n",
       "title                                                                     \n",
       "  said the shotgun to the head.                       0.0    0.0    0.0   \n",
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       "...                                                   ...    ...    ...   \n",
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       "魔戒二部曲：雙城奇謀                                            0.0    0.0    0.0   \n",
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       "\n",
       "bookID                                              5      8      9      \\\n",
       "title                                                                     \n",
       "  said the shotgun to the head.                       0.0    0.0    0.0   \n",
       "$30 Film School: How to Write  Direct  Produce ...    0.0    0.0    0.0   \n",
       "'Salem's Lot                                          0.0    0.0    0.0   \n",
       "1 000 Places to See Before You Die                    0.0    0.0    0.0   \n",
       "10 lb Penalty                                         0.0    0.0    0.0   \n",
       "...                                                   ...    ...    ...   \n",
       "鋼之鍊金術師 6                                              0.0    0.0    0.0   \n",
       "鋼之鍊金術師 7                                              0.0    0.0    0.0   \n",
       "鋼之鍊金術師 9                                              0.0    0.0    0.0   \n",
       "魔戒二部曲：雙城奇謀                                            0.0    0.0    0.0   \n",
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       "\n",
       "bookID                                              10     12     13     \\\n",
       "title                                                                     \n",
       "  said the shotgun to the head.                       0.0    0.0    0.0   \n",
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       "'Salem's Lot                                          0.0    0.0    0.0   \n",
       "1 000 Places to See Before You Die                    0.0    0.0    0.0   \n",
       "10 lb Penalty                                         0.0    0.0    0.0   \n",
       "...                                                   ...    ...    ...   \n",
       "鋼之鍊金術師 6                                              0.0    0.0    0.0   \n",
       "鋼之鍊金術師 7                                              0.0    0.0    0.0   \n",
       "鋼之鍊金術師 9                                              0.0    0.0    0.0   \n",
       "魔戒二部曲：雙城奇謀                                            0.0    0.0    0.0   \n",
       "魔戒首部曲：魔戒現身                                            0.0    0.0    0.0   \n",
       "\n",
       "bookID                                              14     ...  45617  45623  \\\n",
       "title                                                      ...                 \n",
       "  said the shotgun to the head.                       0.0  ...    0.0    0.0   \n",
       "$30 Film School: How to Write  Direct  Produce ...    0.0  ...    0.0    0.0   \n",
       "'Salem's Lot                                          0.0  ...    0.0    0.0   \n",
       "1 000 Places to See Before You Die                    0.0  ...    0.0    0.0   \n",
       "10 lb Penalty                                         0.0  ...    0.0    0.0   \n",
       "...                                                   ...  ...    ...    ...   \n",
       "鋼之鍊金術師 6                                              0.0  ...    0.0    0.0   \n",
       "鋼之鍊金術師 7                                              0.0  ...    0.0    0.0   \n",
       "鋼之鍊金術師 9                                              0.0  ...    0.0    0.0   \n",
       "魔戒二部曲：雙城奇謀                                            0.0  ...    0.0    0.0   \n",
       "魔戒首部曲：魔戒現身                                            0.0  ...    0.0    0.0   \n",
       "\n",
       "bookID                                              45625  45626  45630  \\\n",
       "title                                                                     \n",
       "  said the shotgun to the head.                       0.0    0.0    0.0   \n",
       "$30 Film School: How to Write  Direct  Produce ...    0.0    0.0    0.0   \n",
       "'Salem's Lot                                          0.0    0.0    0.0   \n",
       "1 000 Places to See Before You Die                    0.0    0.0    0.0   \n",
       "10 lb Penalty                                         0.0    0.0    0.0   \n",
       "...                                                   ...    ...    ...   \n",
       "鋼之鍊金術師 6                                              0.0    0.0    0.0   \n",
       "鋼之鍊金術師 7                                              0.0    0.0    0.0   \n",
       "鋼之鍊金術師 9                                              0.0    0.0    0.0   \n",
       "魔戒二部曲：雙城奇謀                                            0.0    0.0    0.0   \n",
       "魔戒首部曲：魔戒現身                                            0.0    0.0    0.0   \n",
       "\n",
       "bookID                                              45631  45633  45634  \\\n",
       "title                                                                     \n",
       "  said the shotgun to the head.                       0.0    0.0    0.0   \n",
       "$30 Film School: How to Write  Direct  Produce ...    0.0    0.0    0.0   \n",
       "'Salem's Lot                                          0.0    0.0    0.0   \n",
       "1 000 Places to See Before You Die                    0.0    0.0    0.0   \n",
       "10 lb Penalty                                         0.0    0.0    0.0   \n",
       "...                                                   ...    ...    ...   \n",
       "鋼之鍊金術師 6                                              0.0    0.0    0.0   \n",
       "鋼之鍊金術師 7                                              0.0    0.0    0.0   \n",
       "鋼之鍊金術師 9                                              0.0    0.0    0.0   \n",
       "魔戒二部曲：雙城奇謀                                            0.0    0.0    0.0   \n",
       "魔戒首部曲：魔戒現身                                            0.0    0.0    0.0   \n",
       "\n",
       "bookID                                              45639  45641  \n",
       "title                                                             \n",
       "  said the shotgun to the head.                       0.0    0.0  \n",
       "$30 Film School: How to Write  Direct  Produce ...    0.0    0.0  \n",
       "'Salem's Lot                                          0.0    0.0  \n",
       "1 000 Places to See Before You Die                    0.0    0.0  \n",
       "10 lb Penalty                                         0.0    0.0  \n",
       "...                                                   ...    ...  \n",
       "鋼之鍊金術師 6                                              0.0    0.0  \n",
       "鋼之鍊金術師 7                                              0.0    0.0  \n",
       "鋼之鍊金術師 9                                              0.0    0.0  \n",
       "魔戒二部曲：雙城奇謀                                            0.0    0.0  \n",
       "魔戒首部曲：魔戒現身                                            0.0    0.0  \n",
       "\n",
       "[10348 rows x 11123 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_rating_pivots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "824cb158",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NearestNeighbors(algorithm='brute', metric='cosine')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import NearestNeighbors\n",
    "model_knn=NearestNeighbors(metric=\"cosine\",algorithm=\"brute\")\n",
    "model_knn.fit(user_rating_matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ffc77718",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1404\n"
     ]
    }
   ],
   "source": [
    "query_index=np.random.choice(user_rating_pivots.shape[0])\n",
    "print(query_index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d00f7435",
   "metadata": {},
   "outputs": [],
   "source": [
    "distances,indices=model_knn.kneighbors(user_rating_pivots.iloc[query_index,:].values.reshape(1,-1),n_neighbors=6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4aa9956e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "recommendation for Chosen Prey (Lucas Davenport  #12):\n",
      "\n",
      "1:The Book of Other Peoplewith distances of 1.0:\n",
      "2:The Book of Ruthwith distances of 1.0:\n",
      "3:The Book of Questionswith distances of 1.0:\n",
      "4:The Book of My Lifewith distances of 1.0:\n",
      "5:The Book of Merlyn: The Unpublished Conclusion to The Once & Future Kingwith distances of 1.0:\n"
     ]
    }
   ],
   "source": [
    "for i in range(0,len(distances.flatten())):\n",
    "    if i==0:\n",
    "        print(\"recommendation for {0}:\\n\".format(user_rating_pivots.index[query_index]))\n",
    "    else:\n",
    "        print(\"{0}:{1}with distances of {2}:\".format(i,user_rating_pivots.index[indices.flatten()[i]],distances.flatten()[i]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2650de68",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef5f6394",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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