movie recommendation system.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = pd.read_csv('tmdb_5000_credits.csv')\n",
    "df2 = pd.read_csv('tmdb_5000_movies.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>285</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206647</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
       "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>49026</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>49529</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
       "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movie_id                                     title  \\\n",
       "0     19995                                    Avatar   \n",
       "1       285  Pirates of the Caribbean: At World's End   \n",
       "2    206647                                   Spectre   \n",
       "3     49026                     The Dark Knight Rises   \n",
       "4     49529                               John Carter   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
       "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
       "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
       "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
       "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
       "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
       "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
       "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1.columns = ['id', 'title', 'cast','crew']\n",
    "df2 = df2.merge(df1, on='id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>...</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title_x</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>title_y</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.avatarmovie.com/</td>\n",
       "      <td>19995</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
       "      <td>...</td>\n",
       "      <td>162.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
       "      <td>285</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>en</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
       "      <td>...</td>\n",
       "      <td>169.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>At the end of the world, the adventure begins.</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>245000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.sonypictures.com/movies/spectre/</td>\n",
       "      <td>206647</td>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "      <td>en</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
       "      <td>...</td>\n",
       "      <td>148.0</td>\n",
       "      <td>[{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...</td>\n",
       "      <td>Released</td>\n",
       "      <td>A Plan No One Escapes</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
       "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>250000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
       "      <td>http://www.thedarkknightrises.com/</td>\n",
       "      <td>49026</td>\n",
       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
       "      <td>en</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
       "      <td>...</td>\n",
       "      <td>165.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>The Legend Ends</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9106</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>260000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://movies.disney.com/john-carter</td>\n",
       "      <td>49529</td>\n",
       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
       "      <td>...</td>\n",
       "      <td>132.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>Lost in our world, found in another.</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2124</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
       "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget                                             genres  \\\n",
       "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
       "2  245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "3  250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
       "4  260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "\n",
       "                                       homepage      id  \\\n",
       "0                   http://www.avatarmovie.com/   19995   \n",
       "1  http://disney.go.com/disneypictures/pirates/     285   \n",
       "2   http://www.sonypictures.com/movies/spectre/  206647   \n",
       "3            http://www.thedarkknightrises.com/   49026   \n",
       "4          http://movies.disney.com/john-carter   49529   \n",
       "\n",
       "                                            keywords original_language  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
       "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
       "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...                en   \n",
       "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...                en   \n",
       "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...                en   \n",
       "\n",
       "                             original_title  \\\n",
       "0                                    Avatar   \n",
       "1  Pirates of the Caribbean: At World's End   \n",
       "2                                   Spectre   \n",
       "3                     The Dark Knight Rises   \n",
       "4                               John Carter   \n",
       "\n",
       "                                            overview  popularity  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
       "3  Following the death of District Attorney Harve...  112.312950   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   \n",
       "\n",
       "                                production_companies  ... runtime  \\\n",
       "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...  ...   162.0   \n",
       "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...  ...   169.0   \n",
       "2  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...  ...   148.0   \n",
       "3  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...  ...   165.0   \n",
       "4        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]  ...   132.0   \n",
       "\n",
       "                                    spoken_languages    status  \\\n",
       "0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
       "1           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "2  [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...  Released   \n",
       "3           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "4           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "\n",
       "                                          tagline  \\\n",
       "0                     Enter the World of Pandora.   \n",
       "1  At the end of the world, the adventure begins.   \n",
       "2                           A Plan No One Escapes   \n",
       "3                                 The Legend Ends   \n",
       "4            Lost in our world, found in another.   \n",
       "\n",
       "                                    title_x vote_average vote_count  \\\n",
       "0                                    Avatar          7.2      11800   \n",
       "1  Pirates of the Caribbean: At World's End          6.9       4500   \n",
       "2                                   Spectre          6.3       4466   \n",
       "3                     The Dark Knight Rises          7.6       9106   \n",
       "4                               John Carter          6.1       2124   \n",
       "\n",
       "                                    title_y  \\\n",
       "0                                    Avatar   \n",
       "1  Pirates of the Caribbean: At World's End   \n",
       "2                                   Spectre   \n",
       "3                     The Dark Knight Rises   \n",
       "4                               John Carter   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
       "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
       "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
       "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
       "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
       "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
       "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
       "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = df2.drop(columns=['homepage','title_x','title_y','status','production_companies'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **Demographic Filtering** -\n",
    "   Before getting started with this  -\n",
    "* we need a metric to score or rate movie \n",
    "* Calculate the score for every movie \n",
    "* Sort the scores and recommend the best rated movie to the users.\n",
    "\n",
    "We can use the average ratings of the movie as the score but using this won't be fair enough since a movie with 8.9 average rating and only 3 votes cannot be considered better than the movie with 7.8 as as average rating but 40 votes.\n",
    "So, I'll be using IMDB's weighted rating (wr) which is given as :-\n",
    "\n",
    "![](https://image.ibb.co/jYWZp9/wr.png)\n",
    "where,\n",
    "* v is the number of votes for the movie;\n",
    "* m is the minimum votes required to be listed in the chart;\n",
    "* R is the average rating of the movie; And\n",
    "* C is the mean vote across the whole report\n",
    "\n",
    "We already have v(**vote_count**) and R (**vote_average**) and C can be calculated as "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.092171559442011"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "C = df2['vote_average'].mean()\n",
    "C"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "957.6000000000004"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = df2['vote_count'].quantile(0.8)\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(961, 18)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q_movies = df2.copy().loc[df2['vote_count']>= m]\n",
    "q_movies.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "q_movies['title'] = q_movies['original_title']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "def weighted_rating(x, m=m, C=C):\n",
    "    v=x['vote_count']\n",
    "    R = x['vote_average']\n",
    "    \n",
    "    return ((v*R + m*C)/m+v)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "q_movies['score'] =q_movies.apply(weighted_rating, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>score</th>\n",
       "      <th>popularity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Inception</td>\n",
       "      <td>13752</td>\n",
       "      <td>8.1</td>\n",
       "      <td>13874.415480</td>\n",
       "      <td>167.583710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>The Dark Knight</td>\n",
       "      <td>12002</td>\n",
       "      <td>8.2</td>\n",
       "      <td>12110.866190</td>\n",
       "      <td>187.322927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avatar</td>\n",
       "      <td>11800</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11894.813976</td>\n",
       "      <td>150.437577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>The Avengers</td>\n",
       "      <td>11776</td>\n",
       "      <td>7.4</td>\n",
       "      <td>11873.093007</td>\n",
       "      <td>144.448633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>Deadpool</td>\n",
       "      <td>10995</td>\n",
       "      <td>7.4</td>\n",
       "      <td>11086.057710</td>\n",
       "      <td>514.569956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Interstellar</td>\n",
       "      <td>10867</td>\n",
       "      <td>8.1</td>\n",
       "      <td>10965.012284</td>\n",
       "      <td>724.247784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>Django Unchained</td>\n",
       "      <td>10099</td>\n",
       "      <td>7.8</td>\n",
       "      <td>10187.352197</td>\n",
       "      <td>82.121691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Guardians of the Galaxy</td>\n",
       "      <td>9742</td>\n",
       "      <td>7.9</td>\n",
       "      <td>9828.461637</td>\n",
       "      <td>481.098624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>The Hunger Games</td>\n",
       "      <td>9455</td>\n",
       "      <td>6.9</td>\n",
       "      <td>9529.220304</td>\n",
       "      <td>68.550698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>9427</td>\n",
       "      <td>7.2</td>\n",
       "      <td>9503.971871</td>\n",
       "      <td>434.278564</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       title  vote_count  vote_average         score  \\\n",
       "96                 Inception       13752           8.1  13874.415480   \n",
       "65           The Dark Knight       12002           8.2  12110.866190   \n",
       "0                     Avatar       11800           7.2  11894.813976   \n",
       "16              The Avengers       11776           7.4  11873.093007   \n",
       "788                 Deadpool       10995           7.4  11086.057710   \n",
       "95              Interstellar       10867           8.1  10965.012284   \n",
       "287         Django Unchained       10099           7.8  10187.352197   \n",
       "94   Guardians of the Galaxy        9742           7.9   9828.461637   \n",
       "426         The Hunger Games        9455           6.9   9529.220304   \n",
       "127       Mad Max: Fury Road        9427           7.2   9503.971871   \n",
       "\n",
       "     popularity  \n",
       "96   167.583710  \n",
       "65   187.322927  \n",
       "0    150.437577  \n",
       "16   144.448633  \n",
       "788  514.569956  \n",
       "95   724.247784  \n",
       "287   82.121691  \n",
       "94   481.098624  \n",
       "426   68.550698  \n",
       "127  434.278564  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q_movies = q_movies.sort_values('score', ascending=False)\n",
    "\n",
    "q_movies[['title','vote_count','vote_average','score','popularity']].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Movies')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "plt.figure(figsize=(12,6))\n",
    "axis1=sns.barplot(x=q_movies['score'].head(10), y=q_movies['title'].head(10))\n",
    "plt.title('Best Movies by average votes', weight='bold')\n",
    "plt.xlabel('Weighted Average score')\n",
    "plt.ylabel('Movies')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Movies')"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pop = q_movies.sort_values('popularity', ascending=False)\n",
    "plt.figure(figsize=(12,6))\n",
    "\n",
    "ax=sns.barplot(pop['popularity'].head(10), pop['title'].head(10))\n",
    "plt.title('Best Movies by popularity', weight='bold')\n",
    "plt.xlabel('popularity score')\n",
    "plt.ylabel('Movies')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}