Movie_Recommendation_System_final.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Import Libraries**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import libraries\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from ast import literal_eval\n",
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import dataset\n",
    "movies = pd.read_csv('tmdb_5000_movies.csv')\n",
    "credits = pd.read_csv('tmdb_5000_credits.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The first dataset contains the following features:-\n",
    "\n",
    "- movie_id - A unique identifier for each movie.<br>\n",
    "- cast - The name of lead and supporting actors.<br>\n",
    "- crew - The name of Director, Editor, Composer, Writer etc.<br>\n",
    "\n",
    "The second dataset has the following features:-<br>\n",
    "\n",
    "- budget - The budget in which the movie was made.<br>\n",
    "- genre - The genre of the movie, Action, Comedy ,Thriller etc.<br>\n",
    "- homepage - A link to the homepage of the movie.<br>\n",
    "- id - This is infact the movie_id as in the first dataset.<br>\n",
    "- keywords - The keywords or tags related to the movie.<br>\n",
    "- original_language - The language in which the movie was made.<br>\n",
    "- original_title - The title of the movie before translation or adaptation.<br>\n",
    "- overview - A brief description of the movie.<br>\n",
    "- popularity - A numeric quantity specifying the movie popularity.<br>\n",
    "- production_companies - The production house of the movie.<br>\n",
    "- production_countries - The country in which it was produced.<br>\n",
    "- release_date - The date on which it was released.<br>\n",
    "- revenue - The worldwide revenue generated by the movie.<br>\n",
    "- runtime - The running time of the movie in minutes.<br>\n",
    "- status - \"Released\" or \"Rumored\".<br>\n",
    "- tagline - Movie's tagline.<br>\n",
    "- title - Title of the movie.<br>\n",
    "- vote_average - average ratings the movie recieved.<br>\n",
    "- vote_count - the count of votes recieved.<br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>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>production_countries</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</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>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>2787965087</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",
       "    </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>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>961000000</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",
       "    </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>[{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"...</td>\n",
       "      <td>2015-10-26</td>\n",
       "      <td>880674609</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",
       "    </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>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2012-07-16</td>\n",
       "      <td>1084939099</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",
       "    </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>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>284139100</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\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  \\\n",
       "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...   \n",
       "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   \n",
       "2  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...   \n",
       "3  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...   \n",
       "4        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]   \n",
       "\n",
       "                                production_countries release_date     revenue  \\\n",
       "0  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2009-12-10  2787965087   \n",
       "1  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2007-05-19   961000000   \n",
       "2  [{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"...   2015-10-26   880674609   \n",
       "3  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2012-07-16  1084939099   \n",
       "4  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2012-03-07   284139100   \n",
       "\n",
       "   runtime                                   spoken_languages    status  \\\n",
       "0    162.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
       "1    169.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "2    148.0  [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...  Released   \n",
       "3    165.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "4    132.0           [{\"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  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  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will be Droping the columns which is not required in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop features which are not required\n",
    "movies.drop(['homepage' , 'production_companies' , 'production_countries' , 'spoken_languages'] , axis=1 , inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>budget</th>\n",
       "      <th>genres</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>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</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>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>2009-12-10</td>\n",
       "      <td>2787965087</td>\n",
       "      <td>162.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</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>2007-05-19</td>\n",
       "      <td>961000000</td>\n",
       "      <td>169.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>245000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</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>2015-10-26</td>\n",
       "      <td>880674609</td>\n",
       "      <td>148.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>250000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</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>2012-07-16</td>\n",
       "      <td>1084939099</td>\n",
       "      <td>165.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>260000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</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>2012-03-07</td>\n",
       "      <td>284139100</td>\n",
       "      <td>132.0</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget                                             genres      id  \\\n",
       "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   19995   \n",
       "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...     285   \n",
       "2  245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...  206647   \n",
       "3  250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   49026   \n",
       "4  260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   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 release_date  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   2009-12-10   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   2007-05-19   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   2015-10-26   \n",
       "3  Following the death of District Attorney Harve...  112.312950   2012-07-16   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   2012-03-07   \n",
       "\n",
       "      revenue  runtime    status  \\\n",
       "0  2787965087    162.0  Released   \n",
       "1   961000000    169.0  Released   \n",
       "2   880674609    148.0  Released   \n",
       "3  1084939099    165.0  Released   \n",
       "4   284139100    132.0  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  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  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>crew</th>\n",
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       "</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": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credits.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Lets Merge the two datasets.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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",
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       "    <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",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206647</td>\n",
       "      <td>Spectre</td>\n",
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       "      <td>49026</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
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       "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
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       "      <td>49529</td>\n",
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      ],
      "text/plain": [
       "       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": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credits.rename(columns={'movie_id':'id'} , inplace=True)\n",
    "credits.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['budget', 'genres', 'id', 'keywords', 'original_language',\n",
       "       'original_title', 'overview', 'popularity', 'release_date', 'revenue',\n",
       "       'runtime', 'status', 'tagline', 'title', 'vote_average', 'vote_count',\n",
       "       'tittle', 'cast', 'crew'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credits.columns = ['id' ,'tittle' , 'cast' , 'crew']\n",
    "movies = movies.merge(credits, on='id')\n",
    "movies.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Wrangling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "        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>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>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>tittle</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>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>2009-12-10</td>\n",
       "      <td>2787965087</td>\n",
       "      <td>162.0</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>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>2007-05-19</td>\n",
       "      <td>961000000</td>\n",
       "      <td>169.0</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>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>2015-10-26</td>\n",
       "      <td>880674609</td>\n",
       "      <td>148.0</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>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>2012-07-16</td>\n",
       "      <td>1084939099</td>\n",
       "      <td>165.0</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>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>2012-03-07</td>\n",
       "      <td>284139100</td>\n",
       "      <td>132.0</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",
       "</div>"
      ],
      "text/plain": [
       "      budget                                             genres      id  \\\n",
       "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   19995   \n",
       "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...     285   \n",
       "2  245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...  206647   \n",
       "3  250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   49026   \n",
       "4  260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   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 release_date  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   2009-12-10   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   2007-05-19   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   2015-10-26   \n",
       "3  Following the death of District Attorney Harve...  112.312950   2012-07-16   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   2012-03-07   \n",
       "\n",
       "      revenue  runtime    status  \\\n",
       "0  2787965087    162.0  Released   \n",
       "1   961000000    169.0  Released   \n",
       "2   880674609    148.0  Released   \n",
       "3  1084939099    165.0  Released   \n",
       "4   284139100    132.0  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  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",
       "                                     tittle  \\\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...  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 4803 entries, 0 to 4802\n",
      "Data columns (total 19 columns):\n",
      "budget               4803 non-null int64\n",
      "genres               4803 non-null object\n",
      "id                   4803 non-null int64\n",
      "keywords             4803 non-null object\n",
      "original_language    4803 non-null object\n",
      "original_title       4803 non-null object\n",
      "overview             4800 non-null object\n",
      "popularity           4803 non-null float64\n",
      "release_date         4802 non-null object\n",
      "revenue              4803 non-null int64\n",
      "runtime              4801 non-null float64\n",
      "status               4803 non-null object\n",
      "tagline              3959 non-null object\n",
      "title                4803 non-null object\n",
      "vote_average         4803 non-null float64\n",
      "vote_count           4803 non-null int64\n",
      "tittle               4803 non-null object\n",
      "cast                 4803 non-null object\n",
      "crew                 4803 non-null object\n",
      "dtypes: float64(3), int64(4), object(12)\n",
      "memory usage: 750.5+ KB\n"
     ]
    }
   ],
   "source": [
    "#it shows the information of features like if it conatins any null value or what is the data type of that feature\n",
    "movies.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                 0\n",
       "genres                 0\n",
       "id                     0\n",
       "keywords               0\n",
       "original_language      0\n",
       "original_title         0\n",
       "overview               3\n",
       "popularity             0\n",
       "release_date           1\n",
       "revenue                0\n",
       "runtime                2\n",
       "status                 0\n",
       "tagline              844\n",
       "title                  0\n",
       "vote_average           0\n",
       "vote_count             0\n",
       "tittle                 0\n",
       "cast                   0\n",
       "crew                   0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# finding out if there is any null value\n",
    "movies.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop the columns which is not required\n",
    "movies.drop(['tagline','tittle', 'original_title'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>original_language</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>status</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</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>19995</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>2787965087</td>\n",
       "      <td>162.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</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>285</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>en</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>961000000</td>\n",
       "      <td>169.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</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>206647</td>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "      <td>en</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>2015-10-26</td>\n",
       "      <td>880674609</td>\n",
       "      <td>148.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</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>49026</td>\n",
       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
       "      <td>en</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>2012-07-16</td>\n",
       "      <td>1084939099</td>\n",
       "      <td>165.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9106</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>49529</td>\n",
       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>284139100</td>\n",
       "      <td>132.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2124</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": [
       "      budget                                             genres      id  \\\n",
       "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   19995   \n",
       "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...     285   \n",
       "2  245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...  206647   \n",
       "3  250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   49026   \n",
       "4  260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   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",
       "                                            overview  popularity release_date  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   2009-12-10   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   2007-05-19   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   2015-10-26   \n",
       "3  Following the death of District Attorney Harve...  112.312950   2012-07-16   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   2012-03-07   \n",
       "\n",
       "      revenue  runtime    status                                     title  \\\n",
       "0  2787965087    162.0  Released                                    Avatar   \n",
       "1   961000000    169.0  Released  Pirates of the Caribbean: At World's End   \n",
       "2   880674609    148.0  Released                                   Spectre   \n",
       "3  1084939099    165.0  Released                     The Dark Knight Rises   \n",
       "4   284139100    132.0  Released                               John Carter   \n",
       "\n",
       "   vote_average  vote_count  \\\n",
       "0           7.2       11800   \n",
       "1           6.9        4500   \n",
       "2           6.3        4466   \n",
       "3           7.6        9106   \n",
       "4           6.1        2124   \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": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop all the rows with NaN values\n",
    "movies = movies.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget               0\n",
       "genres               0\n",
       "id                   0\n",
       "keywords             0\n",
       "original_language    0\n",
       "overview             0\n",
       "popularity           0\n",
       "release_date         0\n",
       "revenue              0\n",
       "runtime              0\n",
       "status               0\n",
       "title                0\n",
       "vote_average         0\n",
       "vote_count           0\n",
       "cast                 0\n",
       "crew                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check if any null value \n",
    "movies.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-58000000.0, 98800000.0, 39200000.0)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZkAAAEACAYAAABhzAtFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAFgtJREFUeJzt3X+QXWWd5/H3t+kmgcCkDTSGCclAaVcbypoJ60i2wWoodHcRHBiWzC5KDT/iSDEubTnTzmbcghXBGrWmGnUi6qAbDI4iTo9gBhl/VAk0rDEEGMhCsOeyYpEYCwOhEzoQSJPv/tGX2OntTt8k9/RJ932/qm71Pec8595vqi714TnPc54TmYkkSUVoKrsASdLMZchIkgpjyEiSCmPISJIKY8hIkgpjyEiSCjPlIRMRqyLiNxHxRA1tF0XEvRHxrxGxISLOm4oaJUn1UUZP5uvAuTW2vRb4TmaeBlwCfKmooiRJ9TflIZOZ/cC20fsi4i0R8YOIeCQiHoiIt73RHPid6vu5wJYpLFWSdIiayy6g6hbg6sysRMRSRnos5wDXAz+KiG5gDvCe8kqUJB2o0kMmIo4BzgD+MSLe2D2r+vf9wNczszciOoFvRMTbM3NPCaVKkg5Q6SHDyCW7wcxcMs6xD1Idv8nMtRExGzge+M0U1idJOkilT2HOzB3AMxHxJwAx4g+qh58F3l3dvxiYDWwtpVBJ0gGLqV6FOSJuB85mpEfyHPAJ4CfAl4ETgRbg25l5Q0ScCnwVOIaRSQD/PTN/NKUFS5IO2pSHjCSpcZR+uUySNHNN2cD/9u3b7TJJ0gw3d+7cGL1tT0aSVBhDRpJUGENGKkilUim7BKl0howkqTCGjCSpMIaMJKkwhowkqTCGjFRnfX19dHZ2snTpUjo7O+nr6yu7JKk0h8MqzNKM0dfXx4033sjKlStpa2tj69atdHd3A7Bs2bKSq5Omnj0ZqY56e3tZuXIlXV1dNDc309XVxcqVK+nt7S27NKkUhoxURwMDA3R2du6zr7Ozk4GBgZIqksplyEh11NHRwdq1a/fZt3btWjo6OkqqSCqXISPVUU9PD93d3fT39zM8PEx/fz/d3d309PSUXZpUCgf+pTp6Y3B/xYoVDAwM0NHRwXXXXeegvxrWlD20zKX+1WgqlQrt7e1llyFNKZf6lyRNGUNGklQYQ0aSVBhDRpJUGENGklQYQ0aSVBhDRpJUmElDJiJmR8RDEfF4RDwZEZ8cp80VEbE1Ih6rvv6smHIlSdNJLXf8vwqck5lDEdECPBgR/5KZPxvT7o7MvKb+JUqSpqtJQyZHlgQYqm62VF/evS9JmlRNa5dFxBHAI8BbgZszc904zS6OiC7g34C/yMxNE31epVI5mFqlacffuhrB/pZPOqC1yyKiFbgT6M7MJ0btPw4YysxXI+Jq4L9k5jmjz3XtMjUa1y5TIzqktcsycxC4Dzh3zP4XMvPV6uZXgXccQo2SpBmiltllbdUeDBFxFPAe4Odj2pw4avMC4Kl6FilJmp5qGZM5EVhdHZdpAr6TmXdHxA3Aw5m5BvhIRFwADAPbgCuKKliSNH34PBmpII7JqBH5PBlJ0pQxZCRJhTFkJEmFMWQkSYUxZCRJhTFkJEmFMWQkSYUxZCRJhTFkJEmFMWQkSYUxZCRJhTFkJEmFMWQkSYUxZCRJhTFkJEmFMWQkSYUxZCRJhZk0ZCJidkQ8FBGPR8STEfHJcdrMiog7IuLpiFgXEScXUaw0HfT19dHZ2cnSpUvp7Oykr6+v7JKk0jTX0OZV4JzMHIqIFuDBiPiXzPzZqDYfBF7MzLdGxCXAZ4H/WkC90mGtr6+PG2+8kZUrV9LW1sbWrVvp7u4GYNmyZSVXJ029SXsyOWKoutlSfeWYZhcCq6vv+4B3R0QgNZje3l5WrlxJV1cXzc3NdHV1sXLlSnp7e8suTSpFLT0ZIuII4BHgrcDNmbluTJMFwCaAzByOiO3AccDz431epVI56IKlw9nAwABtbW17f+OVSoW2tjYGBgb83WvGam9vn/BYTSGTma8DSyKiFbgzIt6emU+MajJer2Vsb6emgqTprKOjg61bt9LV1UWlUqG9vZ3+/n46Ojr83ashHdDssswcBO4Dzh1zaDOwECAimoG5wLY61CdNKz09PXR3d9Pf38/w8DD9/f10d3fT09NTdmlSKSbtyUREG7A7Mwcj4ijgPYwM7I+2BrgcWAssA36SmRP2ZKSZ6o3B/RUrVjAwMEBHRwfXXXedg/5qWDFZFkTE7zMyqH8EIz2f72TmDRFxA/BwZq6JiNnAN4DTGOnBXJKZvxj9Odu3bzd01FDeuFwmNZK5c+fuM3wyacjUiyGjRmPIqBGNDRnv+JckFcaQkSQVxpCR6sxlZaTfquk+GUm1cVkZaV/2ZKQ6clkZaV+GjFRHAwMDdHZ27rOvs7OTgYGBkiqSymXISHXU0dHB2rVr99m3du1aOjo6SqpIKpdjMlId9fT0sHz5co4++mg2b97MSSedxMsvv8xnPvOZskuTSmFPRiqIKytJhoxUV729vaxatYoNGzbw0EMPsWHDBlatWuXAvxqWISPVkQP/0r4MGamOHPiX9uXAv1RHPT09XHrppezatYvdu3fT0tLC7Nmz+dznPld2aVIp7MlIdbRu3TqGhobYs2cPAHv27GFoaIh168Y+sVxqDC71L9XR8ccfz7HHHsvq1av3Litz+eWX89JLL/H888+XXZ5UOJf6lwo0PDzMZZddxooVKzjzzDNZsWIFl112GcPDw2WXJpXCMRmpzm677bb/rycjNapaHr+8ELgNmA/sAW7JzC+MaXM28D3gmequ72bmDaPbeLlMjWDevHl7x2NGa2pqYtu2bSVUJE2tsZfLaunJDAM9mfloRBwLPBIRP87MjWPaPZCZ76tXodJ0NF7A7G+/NNNNOiaTmb/OzEer718CngIWFF2YNF0dddRRLF68mKamJhYvXsxRRx1VdklSaQ5oTCYiTgZOA8abj9kZEY8DW4CPZeaTE31OpVI5kK+VppWmpiYGBwfJTAYHB2lqGvl/OX/3mqna29snPFZzyETEMcA/AR/NzB1jDj8K/F5mDkXEecBdwITfur+CpOlu586dHHfccUQELS0t7Ny5E/B3r8ZU0xTmiGhhJGC+mZnfHXs8M3dk5lD1/T1AS0QcX9dKpWnklVde4Y477uCVV14puxSpVLXMLgtgNbAtMz86QZv5wHOZmRFxOtDHSM9m74c7u0yNYN68eTQ3N/Paa6/t3XfkkUcyPDzs7DI1hIOZXXYm8KfA/4mIx6r7/gewCCAzvwIsA/48IoaBV4BL0odpqAF1dHRw/vnn8/3vf5+BgYF9tqVGNGnIZOaDQEzS5ovAF+tVlDRdvetd7+Lzn/88119/PWeddRb3338/119/PVdeeWXZpUmlcO0yqY46Ozs577zzuOeee/b2ZN7YHvsIAGkmGnu5zJCR6mjevHk899xztLS0UKlUaG9vZ/fu3bz5zW92TEYNwQUypQL50DJpX4aMVEc9PT10d3fT39/P8PAw/f39dHd309PTU3ZpUim8XCbV2RlnnMHGjb9d2u/UU0/lpz/9aYkVSVPHy2VSgS666CI2btzI8uXLuffee1m+fDkbN27koosuKrs0qRQ+T0aqo/vuu4/ly5dz0003UalUuOmmmwC49dZbS65MKoc9GamOMpMlS5bQ2dnJ0qVL6ezsZMmSJXhvshqVYzJSHbW2tnLMMcfwrW99a++TMT/wgQ8wNDTE4OBg2eVJhXNMRirQnDlzGBoa4q677mLXrl3cddddDA0NMWfOnLJLk0phT0aqo3nz5tHR0cFTTz21d9/ixYsZGBjwZkw1hINZIFNSjebPn8+2bdtYs2bN3stlH/rQh5g/f37ZpUmlMGSkOtuxYwcXX3wxu3fvpqWlhebmZt70pjeVXZZUCkNGqqMtW7YQEXsfubxnzx527drFli1bSq5MKocD/1KdzZo1iwULFhARLFiwgFmzZpVdklQaQ0aqs127dnHVVVfR39/PVVddxa5du8ouSSqNs8ukOmptbaWrq4utW7fufZ5MW1sb/f393iejhnDAz5OJiIXAbcB8YA9wS2Z+YUybAL4AnAe8DFyRmY+ObmPIqBG0trZOeMyQUSM4mCnMw0BPZj4aEccCj0TEjzNz46g27wXaq6+lwJerfyVJDWzSMZnM/PUbvZLMfAl4ClgwptmFwG054mdAa0ScWPdqpWli0aJFNDU1sWjRorJLkUp1QFOYI+Jk4DRg3ZhDC4BNo7Y3V/f9erzPqVQqB/K10rRyyimn8MwzzwDw7LPP7t32d6+Zqr29fcJjNYdMRBwD/BPw0czcMfbwOKdMOAazv4Kk6e6ZZ57hU5/6FGeddRb3338/1157LeDvXo2ppinMEdHCSMB8MzO/O06TzcDCUdsnAd59poZ17bXXcu+99+4NGKlR1TK7LIDVwLbM/OgEbc4HrmFkdtlS4O8y8/TRbZxdpkbg7DI1uoNZ6v9M4E+BcyLiserrvIi4OiKurra5B/gF8DTwVeDD9Sxami5G/p+MfR6/PHq/1Gi8GVOqI3syanQ+tEyaAm/0XOzBqNEZMlKdLVy4kBdffJH169fz4osvsnDhwslPkmYol/qX6mzTpk37vWwmNRJ7MpKkwhgykqTCGDKSpMIYMlIBBgcHWb9+vdOW1fAc+JcK4MC/NMKejCSpMIaMJKkwhowkqTCGjFSAhQsXcuedd3q3vxqeC2RKdeQCmWp0LpApSZoyhoxUZxGxz30yrsSsRuZ9MlKdZab3yUhV9mQkSYWZNGQiYlVE/CYinpjg+NkRsX3Uo5n/Z/3LlCRNR7VcLvs68EXgtv20eSAz31eXiiRJM8akIZOZ/RFxcvGlSDPHmjVraGtrY+vWrVxwwQVllyOVpl4D/50R8TiwBfhYZj65v8aVSqVOXysdnsYLFn/3mqna29snPFaPkHkU+L3MHIqI84C7gIm/cZKCpJnK370a0SHPLsvMHZk5VH1/D9ASEccfcmXSNPe+9zlMKR1yyETE/KjebRYRp1c/84VD/Vxpurv77rvLLkEq3aSXyyLiduBs4PiI2Ax8AmgByMyvAMuAP4+IYeAV4JKcqgXRJEmHNRfIlOrIBTLV6FwgU5I0ZQwZSVJhDBlJUmEMGUlSYQwZSVJhDBlJUmEMGakAra2tNDU1+fAyNTyfjCkV4I17Yrw3Ro3OnowkqTCGjCSpMIaMJKkwhowkqTCGjCSpMIaMJKkwhoxUgDlz5hARzJkzp+xSpFJ5n4xUgJ07d+7zV2pU9mQkSYWZNGQiYlVE/CYinpjgeETE30XE0xGxISL+Xf3LlCRNR7X0ZL4OnLuf4+8F2quvq4AvH3pZkqSZYNKQycx+YNt+mlwI3JYjfga0RsSJ9SpQmo5OOOEEIoITTjih7FKkUtVj4H8BsGnU9ubqvl9PdEKlUqnD10qHrxdeeIHM5IUXXti7z9+9Zqr29vYJj9UjZGKcfbm/E/ZXkHS4+fSnP81nP/vZAzrn9ddf3+cvwDvf+c6azl2xYgUf//jHD+j7pMNVZO43D0YaRZwM3J2Zbx/n2N8D92Xm7dXtAeDszNynJ7N9+/bJv0ia5vb3/BiX/VcjmDt37j4dj3pMYV4DXFadZfbvge1jA0ZqFF/72tcOaL800016uSwibgfOBo6PiM3AJ4AWgMz8CnAPcB7wNPAycGVRxUqHu2XLlgHQ29vLUz8fYPHbOujp6dm7X2o0NV0uqwcvl6nRtN76KwavXFB2GdKUKuJymSRJ4zJkJEmFMWQkSYUxZCRJhTFkJEmFMWQkSYUxZCRJhTFkJEmFMWQkSYUxZCRJhTFkJEmFMWQkSYUxZCRJhTFkJEmFMWQkSYUxZCRJhTFkJEmFqSlkIuLciBiIiKcj4q/HOX5FRGyNiMeqrz+rf6mSpOmmebIGEXEEcDPwH4DNwPqIWJOZG8c0vSMzrymgRknSNFVLT+Z04OnM/EVmvgZ8G7iw2LIkSTPBpD0ZYAGwadT2ZmDpOO0ujogu4N+Av8jMTeO0AaBSqRxQkdL0dLS/dTWE9vb2CY/VEjIxzr4cs/3PwO2Z+WpEXA2sBs45mIKkGePBX/lbV8Or5XLZZmDhqO2TgC2jG2TmC5n5anXzq8A76lOeJGk6qyVk1gPtEXFKRBwJXAKsGd0gIk4ctXkB8FT9SpQkTVeTXi7LzOGIuAb4IXAEsCozn4yIG4CHM3MN8JGIuAAYBrYBVxRYsyRpmojMscMrxdi+ffvUfJF0mGi99VcMXrmg7DKkKTV37tx9xvENGTWEk7+5hcHXZvZPsPXI4JeX/m7ZZajBjQ2ZWmaXSdPe4Gs55b2KSqUypbPLWm/91ZR9l1Qr1y6TJBXGkJEkFcaQkSQVxpCRJBXGkJEkFcaQkSQVxpCRJBXGkJEkFcaQkSQVxpCRJBXGkJEkFca1y9QQ/nLu99j5kzWTN6yj3wV2TvgQ8vr7y7kXAB+eui+UauAqzGoIZSy7X8YCmT5aQGUbuwqzl8skSYUxZCRJhakpZCLi3IgYiIinI+Kvxzk+KyLuqB5fFxEn17tQSdL0M2nIRMQRwM3Ae4FTgfdHxKljmn0QeDEz3wp8DvhsvQuVJE0/tfRkTgeezsxfZOZrwLeBC8e0uRBYXX3fB7w7IgJJUkOrZQrzAmD0RMzNwNKJ2mTmcERsB44Dnh/vAyuVyoFXKh2Sow/+8cQ/uBl++KX6lrM//+nDcO5/O+DTfqc5/W9LpdjfLMpaQma8HsnY6ci1tKmpIKkIg4fyk7vyb4C/OeDTpnoKs3Q4quVy2WZg4ajtk4AtE7WJiGZgLrCtHgVKkqavWkJmPdAeEadExJHAJcDYW6fXAJdX3y8DfpJTdZenJOmwNenlsuoYyzXAD4EjgFWZ+WRE3AA8nJlrgP8FfCMinmakB3NJkUVLkqYHl5WRCuKYjBqRy8pIkqaMISNJKowhI0kqjGMykqS6cUxGkjRlDBlJUmGm7HKZJKnx2JORJBXGkJHGEREnR8QTh3D+LyPi+IM894/HeWaTNC0ZMtLh548ZeUCgNO0ZMtLEmiNidURsiIi+iDh6dA8lIv4wIu6rvj8uIn4UEf8aEX/PqMdfRMR1EfHziPhxRNweER+r7n9LRPwgIh6JiAci4m0RcQZwAfC3EfFYRLxl6v/ZUv0YMtLEOoBbMvP3gR3Ah/fT9hPAg5l5GiOrki+CkSACLgZOA/4z8IejzrkF6M7MdwAfA76UmT+tnv9XmbkkM/9vnf9N0pSq5aFlUqPalJn/u/r+H4CP7KdtFyMhQmZ+PyJerO5/F/C9zHwFICL+ufr3GOAM4B9HPal8Vn3Ll8pnyEgTGzu/P4FhfnsFYPYk7WH8p8ZS/YzBzFxy8OVJhz8vl0kTWxQRndX37wceBH4JvKO67+JRbfuBSwEi4r3Am6r7HwT+KCJmV3sv5wNk5g7gmYj4k+o5ERF/UD3nJeDYQv5F0hQzZKSJPQVcHhEbgHnAl4FPAl+IiAeA10e1/STQFRGPAv8ReBYgM9czMsbyOPBd4GFge/WcS4EPRsTjwJPAhdX93wb+qjqJwIF/TWve8S8VLCKOycyhiDiakR7PVZn5aNl1SVPBMRmpeLdUb66cDaw2YNRI7MlIkgrjmIwkqTCGjCSpMIaMJKkwhowkqTCGjCSpMIaMJKkw/w82zNLJozPiRQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# box plot to check outliers for budget\n",
    "movies.boxplot('budget')\n",
    "IQR = movies.budget.quantile(0.75)-movies.budget.quantile(0.25)\n",
    "lower_fence1 = movies.budget.quantile(0.25) - (IQR*1.5)\n",
    "higher_fence1 = movies.budget.quantile(0.75) + (IQR*1.5)\n",
    "lower_fence1,higher_fence1,IQR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-139434778.5, 232391297.5, 92956519.0)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#box plot to check outlier for revenue\n",
    "movies.boxplot('revenue')\n",
    "IQR = movies.revenue.quantile(0.75)-movies.revenue.quantile(0.25)\n",
    "lower_fence = movies.revenue.quantile(0.25) - (IQR*1.5)\n",
    "higher_fence = movies.revenue.quantile(0.75) + (IQR*1.5)\n",
    "lower_fence,higher_fence,IQR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#remove outlier by the higher value of budget and revenue\n",
    "movies.loc[movies.budget >= higher_fence1 , 'budget'] = higher_fence1\n",
    "movies.loc[movies.revenue >= higher_fence , 'revenue'] = higher_fence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-139434778.5, 232391297.5, 92956519.0)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#check to if outlier still exist \n",
    "movies.boxplot('revenue')\n",
    "IQR = movies.revenue.quantile(0.75)-movies.revenue.quantile(0.25)\n",
    "lower_fence = movies.revenue.quantile(0.25) - (IQR*1.5)\n",
    "higher_fence = movies.revenue.quantile(0.75) + (IQR*1.5)\n",
    "lower_fence,higher_fence,IQR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-58000000.0, 98800000.0, 39200000.0)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#check to if outlier still exist\n",
    "movies.boxplot('budget')\n",
    "IQR = movies.budget.quantile(0.75)-movies.budget.quantile(0.25)\n",
    "lower_fence1 = movies.budget.quantile(0.25) - (IQR*1.5)\n",
    "higher_fence1 = movies.budget.quantile(0.75) + (IQR*1.5)\n",
    "lower_fence1,higher_fence1,IQR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ast import literal_eval\n",
    "features = ['genres' , 'cast', 'keywords' , 'crew']\n",
    "\n",
    "for feature in features:\n",
    "    movies[feature] = movies[feature].apply(literal_eval)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_director(x):\n",
    "    for i in x:\n",
    "        if i['job'] == 'Director':\n",
    "            return i['name']\n",
    "    return np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_list(x):\n",
    "    if isinstance(x , list):\n",
    "        names = [i['name'] for i in x]\n",
    "        if len(names) > 3:\n",
    "            names = names[:3]\n",
    "        return names\n",
    "    return []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "features = ['genres' , 'cast' , 'keywords']\n",
    "movies['director'] = movies['crew'].apply(get_director)\n",
    "\n",
    "for feature in features:\n",
    "    movies[feature] = movies[feature].apply(get_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = movies.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to convert all strings to lower case and strip names of spaces\n",
    "def clean_data(x):\n",
    "    if isinstance(x, list):\n",
    "        return [str.lower(i.replace(\" \", \"\")) for i in x]\n",
    "    else:\n",
    "        #Check if director exists. If not, return empty string\n",
    "        if isinstance(x, str):\n",
    "            return str.lower(x.replace(\" \", \"\"))\n",
    "        else:\n",
    "            return ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Apply clean_data function to your features.\n",
    "features = ['cast', 'keywords', 'director', 'genres']\n",
    "\n",
    "for feature in features:\n",
    "    df1[feature] = df1[feature].apply(clean_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>original_language</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>status</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "      <th>director</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>98800000.0</td>\n",
       "      <td>[action, adventure, fantasy]</td>\n",
       "      <td>19995</td>\n",
       "      <td>[cultureclash, future, spacewar]</td>\n",
       "      <td>en</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>232391297.5</td>\n",
       "      <td>162.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "      <td>[samworthington, zoesaldana, sigourneyweaver]</td>\n",
       "      <td>[{'credit_id': '52fe48009251416c750aca23', 'de...</td>\n",
       "      <td>jamescameron</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>98800000.0</td>\n",
       "      <td>[adventure, fantasy, action]</td>\n",
       "      <td>285</td>\n",
       "      <td>[ocean, drugabuse, exoticisland]</td>\n",
       "      <td>en</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>232391297.5</td>\n",
       "      <td>169.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "      <td>[johnnydepp, orlandobloom, keiraknightley]</td>\n",
       "      <td>[{'credit_id': '52fe4232c3a36847f800b579', 'de...</td>\n",
       "      <td>goreverbinski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>98800000.0</td>\n",
       "      <td>[action, adventure, crime]</td>\n",
       "      <td>206647</td>\n",
       "      <td>[spy, basedonnovel, secretagent]</td>\n",
       "      <td>en</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>2015-10-26</td>\n",
       "      <td>232391297.5</td>\n",
       "      <td>148.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</td>\n",
       "      <td>[danielcraig, christophwaltz, léaseydoux]</td>\n",
       "      <td>[{'credit_id': '54805967c3a36829b5002c41', 'de...</td>\n",
       "      <td>sammendes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>98800000.0</td>\n",
       "      <td>[action, crime, drama]</td>\n",
       "      <td>49026</td>\n",
       "      <td>[dccomics, crimefighter, terrorist]</td>\n",
       "      <td>en</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>2012-07-16</td>\n",
       "      <td>232391297.5</td>\n",
       "      <td>165.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9106</td>\n",
       "      <td>[christianbale, michaelcaine, garyoldman]</td>\n",
       "      <td>[{'credit_id': '52fe4781c3a36847f81398c3', 'de...</td>\n",
       "      <td>christophernolan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>98800000.0</td>\n",
       "      <td>[action, adventure, sciencefiction]</td>\n",
       "      <td>49529</td>\n",
       "      <td>[basedonnovel, mars, medallion]</td>\n",
       "      <td>en</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>232391297.5</td>\n",
       "      <td>132.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2124</td>\n",
       "      <td>[taylorkitsch, lynncollins, samanthamorton]</td>\n",
       "      <td>[{'credit_id': '52fe479ac3a36847f813eaa3', 'de...</td>\n",
       "      <td>andrewstanton</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       budget                               genres      id  \\\n",
       "0  98800000.0         [action, adventure, fantasy]   19995   \n",
       "1  98800000.0         [adventure, fantasy, action]     285   \n",
       "2  98800000.0           [action, adventure, crime]  206647   \n",
       "3  98800000.0               [action, crime, drama]   49026   \n",
       "4  98800000.0  [action, adventure, sciencefiction]   49529   \n",
       "\n",
       "                              keywords original_language  \\\n",
       "0     [cultureclash, future, spacewar]                en   \n",
       "1     [ocean, drugabuse, exoticisland]                en   \n",
       "2     [spy, basedonnovel, secretagent]                en   \n",
       "3  [dccomics, crimefighter, terrorist]                en   \n",
       "4      [basedonnovel, mars, medallion]                en   \n",
       "\n",
       "                                            overview  popularity release_date  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   2009-12-10   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   2007-05-19   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   2015-10-26   \n",
       "3  Following the death of District Attorney Harve...  112.312950   2012-07-16   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   2012-03-07   \n",
       "\n",
       "       revenue  runtime    status                                     title  \\\n",
       "0  232391297.5    162.0  Released                                    Avatar   \n",
       "1  232391297.5    169.0  Released  Pirates of the Caribbean: At World's End   \n",
       "2  232391297.5    148.0  Released                                   Spectre   \n",
       "3  232391297.5    165.0  Released                     The Dark Knight Rises   \n",
       "4  232391297.5    132.0  Released                               John Carter   \n",
       "\n",
       "   vote_average  vote_count                                           cast  \\\n",
       "0           7.2       11800  [samworthington, zoesaldana, sigourneyweaver]   \n",
       "1           6.9        4500     [johnnydepp, orlandobloom, keiraknightley]   \n",
       "2           6.3        4466      [danielcraig, christophwaltz, léaseydoux]   \n",
       "3           7.6        9106      [christianbale, michaelcaine, garyoldman]   \n",
       "4           6.1        2124    [taylorkitsch, lynncollins, samanthamorton]   \n",
       "\n",
       "                                                crew          director  \n",
       "0  [{'credit_id': '52fe48009251416c750aca23', 'de...      jamescameron  \n",
       "1  [{'credit_id': '52fe4232c3a36847f800b579', 'de...     goreverbinski  \n",
       "2  [{'credit_id': '54805967c3a36829b5002c41', 'de...         sammendes  \n",
       "3  [{'credit_id': '52fe4781c3a36847f81398c3', 'de...  christophernolan  \n",
       "4  [{'credit_id': '52fe479ac3a36847f813eaa3', 'de...     andrewstanton  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "movies.drop(columns='crew' , axis = 1 , inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_soup(x):\n",
    "    return ' '.join(x['keywords']) + ' ' + ' '.join(x['cast']) + ' ' + x['director'] + ' ' + ' '.join(x['genres'])\n",
    "df1['soup'] = df1.apply(create_soup, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# append the soup to movies dataframe\n",
    "movies = movies.join(df1['soup'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "#unstack genres\n",
    "s = movies.apply(lambda x : pd.Series(x['genres']) , axis = 1)\n",
    "s.columns = ['genres1' , 'genres2' , 'genres3']\n",
    "s.name = 'genres'\n",
    "movies = movies.drop('genres' , axis=1).join(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "#unstack cast\n",
    "\n",
    "s = movies.apply(lambda x: pd.Series(x['cast']), axis = 1)\n",
    "s.columns = ['cast1' , 'cast2' , 'cast3']\n",
    "movies = movies.drop('cast' , axis = 1).join(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "#unstack cast\n",
    "\n",
    "s = movies.apply(lambda x: pd.Series(x['keywords']), axis = 1)\n",
    "s.columns = ['keywords1' , 'keywords2' , 'keywords3']\n",
    "movies = movies.drop('keywords' , axis = 1).join(s)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\HP\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6521: MatplotlibDeprecationWarning: \n",
      "The 'normed' kwarg was deprecated in Matplotlib 2.1 and will be removed in 3.1. Use 'density' instead.\n",
      "  alternative=\"'density'\", removal=\"3.1\")\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#no. of votes\n",
    "\n",
    "movies.vote_count\n",
    "plt.figure(figsize=(13,7))\n",
    "plt.hist(x = movies['vote_count'] , bins = 100 , normed=True)\n",
    "plt.xlabel('Number of votes', weight = 'bold' )\n",
    "plt.ylabel('Number of movies' , weight = 'bold')\n",
    "plt.title('Number of movies Vs Number of votes' , weight = 'bold')\n",
    "plt.xlim(0,5000)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.Movies With Best Vote Average"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = movies[['title' , 'vote_average' , 'vote_count']]\n",
    "data = data[data['vote_count'] >= 250]\n",
    "data = data.sort_values('vote_average' , ascending = False).nlargest(20 , columns = 'vote_average')\n",
    "plt.figure(figsize=(12,7))\n",
    "sns.barplot(x = 'vote_average' , y = 'title' , data = data)\n",
    "plt.xlabel('Vote Average')\n",
    "plt.ylabel('Title')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Movies with highest Vote Count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = movies[['title' , 'vote_count']]\n",
    "data = data.sort_values('vote_count' , ascending = False).nlargest(10 , columns = 'vote_count')\n",
    "plt.figure(figsize=(13,7))\n",
    "sns.barplot(data = data , x = 'vote_count' , y = 'title')\n",
    "plt.xlabel('Vote_count' , weight = 'bold')\n",
    "plt.ylabel('title' , weight = 'bold')\n",
    "plt.title('Movies with most number of votes' , weight = 'bold')\n",
    "plt.show()\n",
    "plt.savefig('Movies with most number of votes')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\HP\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py:4025: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  return super(DataFrame, self).rename(**kwargs)\n"
     ]
    }
   ],
   "source": [
    "data = movies[['budget' , 'title']]\n",
    "data.rename(columns = {'original_title' : 'movie_title'} , inplace = True)\n",
    "data = data.sort_values('budget' , ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plt.figure(figsize=(12,6))\n",
    "sns.barplot(x= 'title' , y = 'budget' , data=data)\n",
    "plt.xlabel('Movie Title')\n",
    "plt.ylabel('Budget')\n",
    "plt.xticks(rotation = 45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Most Popular Movie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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>popularity</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>150.437577</td>\n",
       "      <td>Avatar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>139.082615</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>107.376788</td>\n",
       "      <td>Spectre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>112.312950</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>43.926995</td>\n",
       "      <td>John Carter</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   popularity                                     title\n",
       "0  150.437577                                    Avatar\n",
       "1  139.082615  Pirates of the Caribbean: At World's End\n",
       "2  107.376788                                   Spectre\n",
       "3  112.312950                     The Dark Knight Rises\n",
       "4   43.926995                               John Carter"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = movies[[\"popularity\" , 'title']]\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>popularity</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>546</th>\n",
       "      <td>875.581305</td>\n",
       "      <td>Minions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>724.247784</td>\n",
       "      <td>Interstellar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>514.569956</td>\n",
       "      <td>Deadpool</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>481.098624</td>\n",
       "      <td>Guardians of the Galaxy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>434.278564</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>418.708552</td>\n",
       "      <td>Jurassic World</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>271.972889</td>\n",
       "      <td>Pirates of the Caribbean: The Curse of the Bla...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>243.791743</td>\n",
       "      <td>Dawn of the Planet of the Apes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>206.227151</td>\n",
       "      <td>The Hunger Games: Mockingjay - Part 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>203.734590</td>\n",
       "      <td>Big Hero 6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     popularity                                              title\n",
       "546  875.581305                                            Minions\n",
       "95   724.247784                                       Interstellar\n",
       "788  514.569956                                           Deadpool\n",
       "94   481.098624                            Guardians of the Galaxy\n",
       "127  434.278564                                 Mad Max: Fury Road\n",
       "28   418.708552                                     Jurassic World\n",
       "199  271.972889  Pirates of the Caribbean: The Curse of the Bla...\n",
       "82   243.791743                     Dawn of the Planet of the Apes\n",
       "200  206.227151              The Hunger Games: Mockingjay - Part 1\n",
       "88   203.734590                                         Big Hero 6"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data.sort_values('popularity' , ascending=False).head(10)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18,6))\n",
    "sns.barplot(x = 'title' , y='popularity' , data =data)\n",
    "\n",
    "plt.xlabel('Movie Title')\n",
    "plt.ylabel(\"popularity\")\n",
    "plt.xticks(rotation = 45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#no. of votes\n",
    "movies.vote_average\n",
    "plt.figure(figsize=(13,7))\n",
    "plt.hist(x = movies['vote_average'] , bins = 50)\n",
    "plt.xlabel('Number of votes_average', weight = 'bold' )\n",
    "plt.ylabel('Number of movies' , weight = 'bold')\n",
    "plt.title('Number of movies Vs Number of votes_average' , weight = 'bold')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Movies with most number of vote Average "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = movies[['title' , 'vote_average']]\n",
    "data = data.sort_values('vote_average' , ascending = False).nlargest(10 , columns = 'vote_average')\n",
    "plt.figure(figsize=(13,7))\n",
    "sns.barplot(data = data , x = 'vote_average' , y = 'title')\n",
    "plt.xlabel('Vote_average' , weight = 'bold')\n",
    "plt.ylabel('title' , weight = 'bold')\n",
    "plt.title('Movies with most number of votes average' , weight = 'bold')\n",
    "plt.show()\n",
    "plt.savefig('Movies with most number of votes Average')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'genres')"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#genres\n",
    "\n",
    "data = movies[['genres1' , 'genres2' , 'genres3']].stack().value_counts().reset_index()\n",
    "data.columns = ['genres' , 'count']\n",
    "plt.figure(figsize=(13,7))\n",
    "sns.barplot(data=data , x = 'count' , y = 'genres')\n",
    "plt.title('Genres' , weight = 'bold')\n",
    "plt.xlabel('value count' , weight = 'bold')\n",
    "plt.ylabel('genres' , weight = 'bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Actor')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Actor with most Apperence\n",
    "\n",
    "df = movies[['cast1' , 'cast2' , 'cast3']].stack().value_counts().reset_index().head(15)\n",
    "df.columns = ['Actor' , 'value_count']\n",
    "plt.figure(figsize=(13,7))\n",
    "sns.barplot(data=df , x = 'value_count' , y = 'Actor')\n",
    "plt.title('Actor' , weight = 'bold')\n",
    "plt.xlabel('Count' , weight = 'bold')\n",
    "plt.ylabel('Actor' , weight = 'bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Director')"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Dicrector with most movies\n",
    "\n",
    "df1 = movies.director.value_counts().reset_index().head(20)\n",
    "df1.columns = ['Director' , 'val_count']\n",
    "plt.figure(figsize=(13,7))\n",
    "sns.barplot(data=df1 , x = 'val_count' , y = 'Director')\n",
    "plt.title('Director With Most Movies' , weight = 'bold')\n",
    "plt.xlabel('count' , weight = 'bold')\n",
    "plt.ylabel('Director' , weight = 'bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "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>id</th>\n",
       "      <th>original_language</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>status</th>\n",
       "      <th>title</th>\n",
       "      <th>...</th>\n",
       "      <th>soup</th>\n",
       "      <th>genres1</th>\n",
       "      <th>genres2</th>\n",
       "      <th>genres3</th>\n",
       "      <th>cast1</th>\n",
       "      <th>cast2</th>\n",
       "      <th>cast3</th>\n",
       "      <th>keywords1</th>\n",
       "      <th>keywords2</th>\n",
       "      <th>keywords3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>98800000.0</td>\n",
       "      <td>19995</td>\n",
       "      <td>en</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>232391297.5</td>\n",
       "      <td>162.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>...</td>\n",
       "      <td>cultureclash future spacewar samworthington zo...</td>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Fantasy</td>\n",
       "      <td>Sam Worthington</td>\n",
       "      <td>Zoe Saldana</td>\n",
       "      <td>Sigourney Weaver</td>\n",
       "      <td>culture clash</td>\n",
       "      <td>future</td>\n",
       "      <td>space war</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>98800000.0</td>\n",
       "      <td>285</td>\n",
       "      <td>en</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>232391297.5</td>\n",
       "      <td>169.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>...</td>\n",
       "      <td>ocean drugabuse exoticisland johnnydepp orland...</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Fantasy</td>\n",
       "      <td>Action</td>\n",
       "      <td>Johnny Depp</td>\n",
       "      <td>Orlando Bloom</td>\n",
       "      <td>Keira Knightley</td>\n",
       "      <td>ocean</td>\n",
       "      <td>drug abuse</td>\n",
       "      <td>exotic island</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>98800000.0</td>\n",
       "      <td>206647</td>\n",
       "      <td>en</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>2015-10-26</td>\n",
       "      <td>232391297.5</td>\n",
       "      <td>148.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>...</td>\n",
       "      <td>spy basedonnovel secretagent danielcraig chris...</td>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Christoph Waltz</td>\n",
       "      <td>Léa Seydoux</td>\n",
       "      <td>spy</td>\n",
       "      <td>based on novel</td>\n",
       "      <td>secret agent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>98800000.0</td>\n",
       "      <td>49026</td>\n",
       "      <td>en</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>2012-07-16</td>\n",
       "      <td>232391297.5</td>\n",
       "      <td>165.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>...</td>\n",
       "      <td>dccomics crimefighter terrorist christianbale ...</td>\n",
       "      <td>Action</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Christian Bale</td>\n",
       "      <td>Michael Caine</td>\n",
       "      <td>Gary Oldman</td>\n",
       "      <td>dc comics</td>\n",
       "      <td>crime fighter</td>\n",
       "      <td>terrorist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>98800000.0</td>\n",
       "      <td>49529</td>\n",
       "      <td>en</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>232391297.5</td>\n",
       "      <td>132.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>...</td>\n",
       "      <td>basedonnovel mars medallion taylorkitsch lynnc...</td>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>Taylor Kitsch</td>\n",
       "      <td>Lynn Collins</td>\n",
       "      <td>Samantha Morton</td>\n",
       "      <td>based on novel</td>\n",
       "      <td>mars</td>\n",
       "      <td>medallion</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       budget      id original_language  \\\n",
       "0  98800000.0   19995                en   \n",
       "1  98800000.0     285                en   \n",
       "2  98800000.0  206647                en   \n",
       "3  98800000.0   49026                en   \n",
       "4  98800000.0   49529                en   \n",
       "\n",
       "                                            overview  popularity release_date  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   2009-12-10   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   2007-05-19   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   2015-10-26   \n",
       "3  Following the death of District Attorney Harve...  112.312950   2012-07-16   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   2012-03-07   \n",
       "\n",
       "       revenue  runtime    status                                     title  \\\n",
       "0  232391297.5    162.0  Released                                    Avatar   \n",
       "1  232391297.5    169.0  Released  Pirates of the Caribbean: At World's End   \n",
       "2  232391297.5    148.0  Released                                   Spectre   \n",
       "3  232391297.5    165.0  Released                     The Dark Knight Rises   \n",
       "4  232391297.5    132.0  Released                               John Carter   \n",
       "\n",
       "   ...                                               soup    genres1  \\\n",
       "0  ...  cultureclash future spacewar samworthington zo...     Action   \n",
       "1  ...  ocean drugabuse exoticisland johnnydepp orland...  Adventure   \n",
       "2  ...  spy basedonnovel secretagent danielcraig chris...     Action   \n",
       "3  ...  dccomics crimefighter terrorist christianbale ...     Action   \n",
       "4  ...  basedonnovel mars medallion taylorkitsch lynnc...     Action   \n",
       "\n",
       "     genres2          genres3            cast1            cast2  \\\n",
       "0  Adventure          Fantasy  Sam Worthington      Zoe Saldana   \n",
       "1    Fantasy           Action      Johnny Depp    Orlando Bloom   \n",
       "2  Adventure            Crime     Daniel Craig  Christoph Waltz   \n",
       "3      Crime            Drama   Christian Bale    Michael Caine   \n",
       "4  Adventure  Science Fiction    Taylor Kitsch     Lynn Collins   \n",
       "\n",
       "              cast3       keywords1       keywords2      keywords3  \n",
       "0  Sigourney Weaver   culture clash          future      space war  \n",
       "1   Keira Knightley           ocean      drug abuse  exotic island  \n",
       "2       Léa Seydoux             spy  based on novel   secret agent  \n",
       "3       Gary Oldman       dc comics   crime fighter      terrorist  \n",
       "4   Samantha Morton  based on novel            mars      medallion  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'keywords')"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#keywords\n",
    "df2 = movies[['keywords1' , 'keywords2' , 'keywords3']].stack().value_counts().reset_index().head(20)\n",
    "df2.columns = ['keywords' , 'val_count']\n",
    "plt.figure(figsize=(13,7))\n",
    "sns.barplot(data=df2 , x = 'val_count' , y = 'keywords')\n",
    "plt.title('Most frequent keywords' , weight = 'bold')\n",
    "plt.xlabel('count' , weight = 'bold')\n",
    "plt.ylabel('keywords' , weight = 'bold')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Weighted Average"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "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.<br>\n",
    "So, I'll be using IMDB's weighted rating (wr) which is given as :-\n",
    "\n",
    "where,\n",
    "    ![](wr.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "v is the number of votes for the movie;<br>\n",
    "m is the minimum votes required to be listed in the chart;<br>\n",
    "R is the average rating of the movie; And<br>\n",
    "C is the mean vote across the whole report<br>\n",
    "We already have v(vote_count) and R (vote_average) and C can be calculated as<br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "m = movies['vote_count'].quantile(0.7)\n",
    "C = movies['vote_average'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "def weighted_average(x=movies , m = m , C = C):\n",
    "    v = x['vote_count']\n",
    "    R = x['vote_average']\n",
    "    \n",
    "    return (((v*R) + (m*C)) / (v+m))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "movies['weighted_average'] = movies.apply(weighted_average , axis = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sort movies on **Weighted-Average**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "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>weighted_average</th>\n",
       "      <th>popularity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1881</th>\n",
       "      <td>The Shawshank Redemption</td>\n",
       "      <td>8205</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.340909</td>\n",
       "      <td>136.747729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3337</th>\n",
       "      <td>The Godfather</td>\n",
       "      <td>5893</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.193068</td>\n",
       "      <td>143.659698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>Fight Club</td>\n",
       "      <td>9413</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.171765</td>\n",
       "      <td>146.757391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3232</th>\n",
       "      <td>Pulp Fiction</td>\n",
       "      <td>8428</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.157745</td>\n",
       "      <td>121.463076</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>8.102767</td>\n",
       "      <td>187.322927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>809</th>\n",
       "      <td>Forrest Gump</td>\n",
       "      <td>7927</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.056197</td>\n",
       "      <td>138.133331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1818</th>\n",
       "      <td>Schindler's List</td>\n",
       "      <td>4329</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.038986</td>\n",
       "      <td>104.469351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3865</th>\n",
       "      <td>Whiplash</td>\n",
       "      <td>4254</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.034937</td>\n",
       "      <td>192.528841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Inception</td>\n",
       "      <td>13752</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.018693</td>\n",
       "      <td>167.583710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990</th>\n",
       "      <td>The Empire Strikes Back</td>\n",
       "      <td>5879</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.010607</td>\n",
       "      <td>78.517830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2294</th>\n",
       "      <td>Spirited Away</td>\n",
       "      <td>3840</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.010116</td>\n",
       "      <td>118.968562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Interstellar</td>\n",
       "      <td>10867</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.998203</td>\n",
       "      <td>724.247784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2731</th>\n",
       "      <td>The Godfather: Part II</td>\n",
       "      <td>3338</td>\n",
       "      <td>8.3</td>\n",
       "      <td>7.972983</td>\n",
       "      <td>105.792936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>The Lord of the Rings: The Return of the King</td>\n",
       "      <td>8064</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.965196</td>\n",
       "      <td>123.630332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2912</th>\n",
       "      <td>Star Wars</td>\n",
       "      <td>6624</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.938254</td>\n",
       "      <td>126.393695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>The Green Mile</td>\n",
       "      <td>4048</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.935693</td>\n",
       "      <td>103.698022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1553</th>\n",
       "      <td>Se7en</td>\n",
       "      <td>5765</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.916360</td>\n",
       "      <td>79.579532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>The Lord of the Rings: The Fellowship of the Ring</td>\n",
       "      <td>8705</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.880758</td>\n",
       "      <td>138.049577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1847</th>\n",
       "      <td>GoodFellas</td>\n",
       "      <td>3128</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.870133</td>\n",
       "      <td>63.654244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2091</th>\n",
       "      <td>The Silence of the Lambs</td>\n",
       "      <td>4443</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.868038</td>\n",
       "      <td>18.174804</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  title  vote_count  \\\n",
       "1881                           The Shawshank Redemption        8205   \n",
       "3337                                      The Godfather        5893   \n",
       "662                                          Fight Club        9413   \n",
       "3232                                       Pulp Fiction        8428   \n",
       "65                                      The Dark Knight       12002   \n",
       "809                                        Forrest Gump        7927   \n",
       "1818                                   Schindler's List        4329   \n",
       "3865                                           Whiplash        4254   \n",
       "96                                            Inception       13752   \n",
       "1990                            The Empire Strikes Back        5879   \n",
       "2294                                      Spirited Away        3840   \n",
       "95                                         Interstellar       10867   \n",
       "2731                             The Godfather: Part II        3338   \n",
       "329       The Lord of the Rings: The Return of the King        8064   \n",
       "2912                                          Star Wars        6624   \n",
       "690                                      The Green Mile        4048   \n",
       "1553                                              Se7en        5765   \n",
       "262   The Lord of the Rings: The Fellowship of the Ring        8705   \n",
       "1847                                         GoodFellas        3128   \n",
       "2091                           The Silence of the Lambs        4443   \n",
       "\n",
       "      vote_average  weighted_average  popularity  \n",
       "1881           8.5          8.340909  136.747729  \n",
       "3337           8.4          8.193068  143.659698  \n",
       "662            8.3          8.171765  146.757391  \n",
       "3232           8.3          8.157745  121.463076  \n",
       "65             8.2          8.102767  187.322927  \n",
       "809            8.2          8.056197  138.133331  \n",
       "1818           8.3          8.038986  104.469351  \n",
       "3865           8.3          8.034937  192.528841  \n",
       "96             8.1          8.018693  167.583710  \n",
       "1990           8.2          8.010607   78.517830  \n",
       "2294           8.3          8.010116  118.968562  \n",
       "95             8.1          7.998203  724.247784  \n",
       "2731           8.3          7.972983  105.792936  \n",
       "329            8.1          7.965196  123.630332  \n",
       "2912           8.1          7.938254  126.393695  \n",
       "690            8.2          7.935693  103.698022  \n",
       "1553           8.1          7.916360   79.579532  \n",
       "262            8.0          7.880758  138.049577  \n",
       "1847           8.2          7.870133   63.654244  \n",
       "2091           8.1          7.868038   18.174804  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies_sorted = movies.sort_values('weighted_average' , ascending = False)\n",
    "movies_sorted = movies_sorted[['title' , 'vote_count' , 'vote_average' , 'weighted_average' , 'popularity']].head(20)\n",
    "movies_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18,6))\n",
    "plt.xlim(4,10)\n",
    "sns.barplot(x = 'weighted_average' , y='title' , data =movies_sorted.head(10))\n",
    "plt.title(\"BEST IMDB MOVIES\" , weight = 'bold')\n",
    "plt.xlabel('WR' ,weight = 'bold' )\n",
    "plt.ylabel(\"Movie title\" , weight = 'bold')\n",
    "plt.xticks(rotation = 45)\n",
    "plt.show()\n",
    "plt.savefig('best_imdb_movies.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Popularity**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "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>popularity</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>724.247784</td>\n",
       "      <td>Interstellar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3865</th>\n",
       "      <td>192.528841</td>\n",
       "      <td>Whiplash</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>187.322927</td>\n",
       "      <td>The Dark Knight</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>167.583710</td>\n",
       "      <td>Inception</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>146.757391</td>\n",
       "      <td>Fight Club</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3337</th>\n",
       "      <td>143.659698</td>\n",
       "      <td>The Godfather</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>809</th>\n",
       "      <td>138.133331</td>\n",
       "      <td>Forrest Gump</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>138.049577</td>\n",
       "      <td>The Lord of the Rings: The Fellowship of the Ring</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1881</th>\n",
       "      <td>136.747729</td>\n",
       "      <td>The Shawshank Redemption</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2912</th>\n",
       "      <td>126.393695</td>\n",
       "      <td>Star Wars</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      popularity                                              title\n",
       "95    724.247784                                       Interstellar\n",
       "3865  192.528841                                           Whiplash\n",
       "65    187.322927                                    The Dark Knight\n",
       "96    167.583710                                          Inception\n",
       "662   146.757391                                         Fight Club\n",
       "3337  143.659698                                      The Godfather\n",
       "809   138.133331                                       Forrest Gump\n",
       "262   138.049577  The Lord of the Rings: The Fellowship of the Ring\n",
       "1881  136.747729                           The Shawshank Redemption\n",
       "2912  126.393695                                          Star Wars"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "popularity = movies_sorted[['popularity' , 'title']]\n",
    "popularity = popularity.sort_values('popularity' , ascending = False).head(10)\n",
    "popularity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,7))\n",
    "sns.barplot(data = popularity , x = 'popularity' , y = 'title')\n",
    "plt.xlabel('Popularity' , weight= 'bold')\n",
    "plt.ylabel('title' , weight = 'bold')\n",
    "plt.savefig('best_popular_movies.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Content Based Recommendation System"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "They suggest similar items based on a particular item. This system uses item metadata, such as genre, director, description, actors, etc. for movies, to make these recommendations. The general idea behind these recommender systems is that if a person liked a particular item, he or she will also like an item that is similar to it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    In the 22nd century, a paraplegic Marine is di...\n",
       "1    Captain Barbossa, long believed to be dead, ha...\n",
       "2    A cryptic message from Bond’s past sends him o...\n",
       "3    Following the death of District Attorney Harve...\n",
       "4    John Carter is a war-weary, former military ca...\n",
       "Name: overview, dtype: object"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies['overview'].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "we need to compute Tf-idf (Term frequency - inverse document frequency) for each overview to convert it into a word vector.<br>\n",
    "<br>\n",
    "Now if you are wondering what is term frequency , it is the relative frequency of a word in a document and is given as (**term instances/total instances**). Inverse Document Frequency is the relative count of documents containing the term is given as **log(number of documents/documents with term**).The overall importance of each word to the documents in which they appear is equal to TF * IDF"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Suppose you want to summarize a document or a paragraph using few keywords.<br><br>\n",
    "\n",
    "One technique is to pick the most frequently occurring terms (words with high term frequency or tf). However, the most frequent word is a less useful metric since some words like 'this', 'a'  occur very frequently across all documents.\n",
    "\n",
    "Hence, we also want a measure of how unique a word is i.e. how infrequently the word occurs across all documents (inverse document frequency or idf).\n",
    "\n",
    "Hence, the product of tf x idf (tfidf) of a word gives a product of how frequent this word is in the document multiplied by how unique the word is w.r.t. the entire corpus of documents.\n",
    "\n",
    "Words in the document with a high tfidf score occur frequently in the document and provide the most information about that specific document."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4799, 9919)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#import tfidf\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "tfidf = TfidfVectorizer(stop_words='english' , min_df=3 , strip_accents='unicode' , ngram_range=(1,3))\n",
    "tfidf_matrix = tfidf.fit_transform(movies['overview'].fillna(''))\n",
    "tfidf_matrix.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With this matrix in hand, we can now compute a similarity score. There are several candidates for this; such as the euclidean, the Pearson and the cosine similarity scores. There is no right answer to which score is the best. Different scores work well in different scenarios and it is often a good idea to experiment with different metrics.\n",
    "\n",
    "We will be using the cosine similarity to calculate a numeric quantity that denotes the similarity between two movies. We use the cosine similarity score since it is independent of magnitude and is relatively easy and fast to calculate. Mathematically, it is defined as follows:\n",
    "                            ![](cosine.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
       "        0.        ],\n",
       "       [0.        , 1.        , 0.        , ..., 0.02444275, 0.        ,\n",
       "        0.        ],\n",
       "       [0.        , 0.        , 1.        , ..., 0.01623639, 0.        ,\n",
       "        0.        ],\n",
       "       ...,\n",
       "       [0.        , 0.02444275, 0.01623639, ..., 1.        , 0.01699334,\n",
       "        0.00730581],\n",
       "       [0.        , 0.        , 0.        , ..., 0.01699334, 1.        ,\n",
       "        0.01209598],\n",
       "       [0.        , 0.        , 0.        , ..., 0.00730581, 0.01209598,\n",
       "        1.        ]])"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics.pairwise import linear_kernel\n",
    "cosine_similarity = linear_kernel(tfidf_matrix , tfidf_matrix)\n",
    "cosine_similarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Construct a reverse map of indices and movie titles\n",
    "indices = pd.Series(movies.index, index=movies['title']).drop_duplicates()\n",
    "#indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "idx = indices['The Dark Knight Rises']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_recommendation(title , cosine_similarity = cosine_similarity):\n",
    "    idx = indices[title]\n",
    "    score = list(enumerate(cosine_similarity[idx]))\n",
    "    score = sorted(score , key = lambda x:x[1] , reverse = True)\n",
    "    score = score[1:11]\n",
    "    movie_index = [i[0] for i in score]\n",
    "    movies = indices[movie_index]\n",
    "    return movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title\n",
       "Batman Forever                              299\n",
       "The Dark Knight                              65\n",
       "Batman                                     1359\n",
       "Batman Returns                              428\n",
       "Slow Burn                                  2507\n",
       "Batman Begins                               119\n",
       "JFK                                        1181\n",
       "Batman: The Dark Knight Returns, Part 2    3854\n",
       "Batman v Superman: Dawn of Justice            9\n",
       "Batman & Robin                              210\n",
       "dtype: int64"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_recommendation('The Dark Knight Rises')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MetaData based Recommendation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "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>id</th>\n",
       "      <th>original_language</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>status</th>\n",
       "      <th>title</th>\n",
       "      <th>...</th>\n",
       "      <th>genres1</th>\n",
       "      <th>genres2</th>\n",
       "      <th>genres3</th>\n",
       "      <th>cast1</th>\n",
       "      <th>cast2</th>\n",
       "      <th>cast3</th>\n",
       "      <th>keywords1</th>\n",
       "      <th>keywords2</th>\n",
       "      <th>keywords3</th>\n",
       "      <th>weighted_average</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>98800000.0</td>\n",
       "      <td>19995</td>\n",
       "      <td>en</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>232391297.5</td>\n",
       "      <td>162.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>...</td>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Fantasy</td>\n",
       "      <td>Sam Worthington</td>\n",
       "      <td>Zoe Saldana</td>\n",
       "      <td>Sigourney Weaver</td>\n",
       "      <td>culture clash</td>\n",
       "      <td>future</td>\n",
       "      <td>space war</td>\n",
       "      <td>7.148108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>98800000.0</td>\n",
       "      <td>285</td>\n",
       "      <td>en</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>232391297.5</td>\n",
       "      <td>169.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>...</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Fantasy</td>\n",
       "      <td>Action</td>\n",
       "      <td>Johnny Depp</td>\n",
       "      <td>Orlando Bloom</td>\n",
       "      <td>Keira Knightley</td>\n",
       "      <td>ocean</td>\n",
       "      <td>drug abuse</td>\n",
       "      <td>exotic island</td>\n",
       "      <td>6.807857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>98800000.0</td>\n",
       "      <td>206647</td>\n",
       "      <td>en</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>2015-10-26</td>\n",
       "      <td>232391297.5</td>\n",
       "      <td>148.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>...</td>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Christoph Waltz</td>\n",
       "      <td>Léa Seydoux</td>\n",
       "      <td>spy</td>\n",
       "      <td>based on novel</td>\n",
       "      <td>secret agent</td>\n",
       "      <td>6.276307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>98800000.0</td>\n",
       "      <td>49026</td>\n",
       "      <td>en</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>2012-07-16</td>\n",
       "      <td>232391297.5</td>\n",
       "      <td>165.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>...</td>\n",
       "      <td>Action</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Christian Bale</td>\n",
       "      <td>Michael Caine</td>\n",
       "      <td>Gary Oldman</td>\n",
       "      <td>dc comics</td>\n",
       "      <td>crime fighter</td>\n",
       "      <td>terrorist</td>\n",
       "      <td>7.509685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>98800000.0</td>\n",
       "      <td>49529</td>\n",
       "      <td>en</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>232391297.5</td>\n",
       "      <td>132.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>...</td>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>Taylor Kitsch</td>\n",
       "      <td>Lynn Collins</td>\n",
       "      <td>Samantha Morton</td>\n",
       "      <td>based on novel</td>\n",
       "      <td>mars</td>\n",
       "      <td>medallion</td>\n",
       "      <td>6.098751</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       budget      id original_language  \\\n",
       "0  98800000.0   19995                en   \n",
       "1  98800000.0     285                en   \n",
       "2  98800000.0  206647                en   \n",
       "3  98800000.0   49026                en   \n",
       "4  98800000.0   49529                en   \n",
       "\n",
       "                                            overview  popularity release_date  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   2009-12-10   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   2007-05-19   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   2015-10-26   \n",
       "3  Following the death of District Attorney Harve...  112.312950   2012-07-16   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   2012-03-07   \n",
       "\n",
       "       revenue  runtime    status                                     title  \\\n",
       "0  232391297.5    162.0  Released                                    Avatar   \n",
       "1  232391297.5    169.0  Released  Pirates of the Caribbean: At World's End   \n",
       "2  232391297.5    148.0  Released                                   Spectre   \n",
       "3  232391297.5    165.0  Released                     The Dark Knight Rises   \n",
       "4  232391297.5    132.0  Released                               John Carter   \n",
       "\n",
       "   ...    genres1    genres2          genres3            cast1  \\\n",
       "0  ...     Action  Adventure          Fantasy  Sam Worthington   \n",
       "1  ...  Adventure    Fantasy           Action      Johnny Depp   \n",
       "2  ...     Action  Adventure            Crime     Daniel Craig   \n",
       "3  ...     Action      Crime            Drama   Christian Bale   \n",
       "4  ...     Action  Adventure  Science Fiction    Taylor Kitsch   \n",
       "\n",
       "             cast2             cast3       keywords1       keywords2  \\\n",
       "0      Zoe Saldana  Sigourney Weaver   culture clash          future   \n",
       "1    Orlando Bloom   Keira Knightley           ocean      drug abuse   \n",
       "2  Christoph Waltz       Léa Seydoux             spy  based on novel   \n",
       "3    Michael Caine       Gary Oldman       dc comics   crime fighter   \n",
       "4     Lynn Collins   Samantha Morton  based on novel            mars   \n",
       "\n",
       "       keywords3 weighted_average  \n",
       "0      space war         7.148108  \n",
       "1  exotic island         6.807857  \n",
       "2   secret agent         6.276307  \n",
       "3      terrorist         7.509685  \n",
       "4      medallion         6.098751  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "count = CountVectorizer(stop_words='english')\n",
    "count_matrix = count.fit_transform(movies['soup'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics.pairwise import cosine_similarity\n",
    "cosine_sim2 = cosine_similarity(count_matrix , count_matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "indices = pd.Series(movies.index , index = movies['title'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title\n",
       "The Dark Knight               65\n",
       "Batman Begins                119\n",
       "Amidst the Devil's Wings    4638\n",
       "The Prestige                1196\n",
       "Romeo Is Bleeding           3073\n",
       "Black November              3326\n",
       "Takers                      1503\n",
       "Faster                      1986\n",
       "Catwoman                     303\n",
       "Gangster Squad               747\n",
       "dtype: int64"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_recommendation('The Dark Knight Rises' , cosine_sim2)"
   ]
  }
 ],
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