movies.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Movies API "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"imgs/movies.jpg\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Required Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import requests\n",
    "import urllib\n",
    "import pandas as pd \n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Methods to be used"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def print_movie_meta(response, atr_lst=[\"title\",\"tagline\",\"popularity\",\"budget\",\"revenue\",\"runtime\", \"vote_average\"]):\n",
    "    \"\"\" Prints out parameters from response given in atr_lst\n",
    "    \"\"\"\n",
    "    for atrib in atr_lst:\n",
    "        if atrib in response:\n",
    "            print(\"{}: {}\\n\".format(atrib.upper(), response[atrib]))\n",
    "        else:\n",
    "            print(\"{}: {}\\n\".format(atrib.upper(), \"NO DATA\"))\n",
    "            \n",
    "def search_movies(query):\n",
    "    \"\"\" Returns response for specified textual query\n",
    "    \"\"\"\n",
    "    global API_KEY\n",
    "    params = {\n",
    "        \"api_key\":API_KEY,\n",
    "        \"query\": query,\n",
    "        \"language\":\"en\",\n",
    "        \"include_adult\":\"false\",\n",
    "        \"page\":1\n",
    "    }\n",
    "    print(params)\n",
    "    response = requests.request(\"GET\",gateway+\"search/movie\", data=params).json()['results']\n",
    "    return response \n",
    "\n",
    "def get_movie_by_id(movie_id):\n",
    "    \"\"\" Returns movie with given id\n",
    "    \"\"\"\n",
    "    global API_KEY\n",
    "    return requests.get(gateway+\"movie/{}?api_key={}\".format(movie_id, API_KEY)).json()\n",
    "\n",
    "def get_similar_movies(query):\n",
    "    \"\"\" Returns data frame of similar movies with movie ids and titles\n",
    "    \"\"\"\n",
    "    response = search_movies(query)\n",
    "    print(\"Fetched ID's! \\n\")\n",
    "    movies = []\n",
    "    for movie in response:\n",
    "    #     print(movie[\"id\"])\n",
    "        r = get_movie_by_id(movie[\"id\"])\n",
    "        print(\"Movie with ID:{} fetched!\".format(r[\"id\"]))\n",
    "        movie = [r[\"id\"], r[\"title\"]]\n",
    "        movies.append(movie)\n",
    "    df = pd.DataFrame(movies)\n",
    "    df.columns = [\"ID\", \"TITLE\"]\n",
    "    return df \n",
    "\n",
    "def return_genres():\n",
    "    \"\"\" Returns list of genres\n",
    "    \"\"\"\n",
    "    r = \\\n",
    "    requests.get(\" https://api.themoviedb.org/3/genre/movie/list?api_key={}&langua \\\n",
    "    ge=en-US\".format(API_KEY)).json()\n",
    "    return pd.DataFrame([i for i in r[\"genres\"]])\n",
    "\n",
    "def get_number_of_movies_per_genre(iid):\n",
    "    global API_KEY\n",
    "    url = \"https://api.themoviedb.org/3/genre/{}/movies?api_key={}& \\\n",
    "    language=en-US&include_adult=false\".format(str(iid), API_KEY)\n",
    "    return requests.get(url).json()['total_results']\n",
    "\n",
    "def get_genre_popularity(df):\n",
    "    \"\"\" Adds number of movies to gender data frame\n",
    "    \"\"\"\n",
    "    df[\"movies_count\"] = df[\"id\"].apply(lambda x: get_number_of_movies_per_genre(x))\n",
    "    return df\n",
    "\n",
    "def get_top_movies(sort_by, value):\n",
    "    \"\"\" Returns response for specified textual query\n",
    "    \"\"\"\n",
    "    global API_KEY\n",
    "    params = {\n",
    "        \"api_key\":API_KEY,\n",
    "        \"sort_by\": \"{}.desc\".format(sort_by),\n",
    "        \"language\":\"en\",\n",
    "        \"include_adult\":\"false\",\n",
    "        \"page\":1\n",
    "    }\n",
    "    print(params)\n",
    "    response = requests.request(\"GET\",gateway+\"discover/movie\", data=params).json()[\"results\"]\n",
    "    movies = []\n",
    "    for i in response:\n",
    "        movies.append([i[\"title\"], i[value]])\n",
    "    df = pd.DataFrame(movies)\n",
    "    df.columns = [\"title\", value]\n",
    "    sns.barplot(df[value], df[\"title\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What is an API?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"imgs/api.png\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Gateway and API KEY"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gateway = \"https://api.themoviedb.org/3/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "API_KEY = \"85360a9a66ef1390085061c341f5cf15\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example API query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'adult': False,\n",
       " 'backdrop_path': '/phszHPFVhPHhMZgo0fWTKBDQsJA.jpg',\n",
       " 'belongs_to_collection': {'backdrop_path': '/zI0q2ENcQOLECbe0gAEGlncVh2j.jpg',\n",
       "  'id': 8945,\n",
       "  'name': 'Mad Max Collection',\n",
       "  'poster_path': '/jZowUf4okNYuSlgj5iURE7CDMho.jpg'},\n",
       " 'budget': 150000000,\n",
       " 'genres': [{'id': 28, 'name': 'Action'},\n",
       "  {'id': 12, 'name': 'Adventure'},\n",
       "  {'id': 878, 'name': 'Science Fiction'},\n",
       "  {'id': 53, 'name': 'Thriller'}],\n",
       " 'homepage': 'http://www.madmaxmovie.com/',\n",
       " 'id': 76341,\n",
       " 'imdb_id': 'tt1392190',\n",
       " 'original_language': 'en',\n",
       " 'original_title': 'Mad Max: Fury Road',\n",
       " 'overview': \"An apocalyptic story set in the furthest reaches of our planet, in a stark desert landscape where humanity is broken, and most everyone is crazed fighting for the necessities of life. Within this world exist two rebels on the run who just might be able to restore order. There's Max, a man of action and a man of few words, who seeks peace of mind following the loss of his wife and child in the aftermath of the chaos. And Furiosa, a woman of action and a woman who believes her path to survival may be achieved if she can make it across the desert back to her childhood homeland.\",\n",
       " 'popularity': 55.150404,\n",
       " 'poster_path': '/kqjL17yufvn9OVLyXYpvtyrFfak.jpg',\n",
       " 'production_companies': [{'id': 79,\n",
       "   'logo_path': '/tpFpsqbleCzEE2p5EgvUq6ozfCA.png',\n",
       "   'name': 'Village Roadshow Pictures',\n",
       "   'origin_country': ''},\n",
       "  {'id': 2537,\n",
       "   'logo_path': None,\n",
       "   'name': 'Kennedy Miller Productions',\n",
       "   'origin_country': ''},\n",
       "  {'id': 174,\n",
       "   'logo_path': '/6rFNo5taSC9i0Sxnl81nucQMsw9.png',\n",
       "   'name': 'Warner Bros. Pictures',\n",
       "   'origin_country': 'US'}],\n",
       " 'production_countries': [{'iso_3166_1': 'AU', 'name': 'Australia'},\n",
       "  {'iso_3166_1': 'US', 'name': 'United States of America'}],\n",
       " 'release_date': '2015-05-13',\n",
       " 'revenue': 378858340,\n",
       " 'runtime': 120,\n",
       " 'spoken_languages': [{'iso_639_1': 'en', 'name': 'English'}],\n",
       " 'status': 'Released',\n",
       " 'tagline': 'What a Lovely Day.',\n",
       " 'title': 'Mad Max: Fury Road',\n",
       " 'video': False,\n",
       " 'vote_average': 7.3,\n",
       " 'vote_count': 11401}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "requests.get(gateway+\"movie/76341?api_key={}&language=en\".format(API_KEY)).json()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's make this prettier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "response = requests.get(gateway+\"movie/76341?api_key={}&language=en\".format(API_KEY)).json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TITLE: Mad Max: Fury Road\n",
      "\n",
      "TAGLINE: What a Lovely Day.\n",
      "\n",
      "POPULARITY: 55.150404\n",
      "\n",
      "BUDGET: 150000000\n",
      "\n",
      "REVENUE: 378858340\n",
      "\n",
      "RUNTIME: 120\n",
      "\n",
      "VOTE_AVERAGE: 7.3\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print_movie_meta(response, [\"title\", \"tagline\", \"popularity\",\"budget\",\"revenue\",\"runtime\", \"vote_average\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's find our favourite movie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'api_key': '85360a9a66ef1390085061c341f5cf15', 'query': 'Harry Potter', 'language': 'en', 'include_adult': 'false', 'page': 1}\n"
     ]
    }
   ],
   "source": [
    "response = search_movies(\"Harry Potter\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sometimes we will get more than one result, so we need to specify which do we want, like:\n",
    "* response[0] - first result\n",
    "* response[1] - second result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TITLE: Harry Potter and the Half-Blood Prince\n",
      "\n",
      "POPULARITY: 24.590426\n",
      "\n",
      "VOTE_AVERAGE: 7.5\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print_movie_meta(response[3], [\"title\", \"popularity\",\"vote_average\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let's find similar movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'api_key': '85360a9a66ef1390085061c341f5cf15', 'query': 'Spiderman', 'language': 'en', 'include_adult': 'false', 'page': 1}\n",
      "Fetched ID's! \n",
      "\n",
      "Movie with ID:557 fetched!\n",
      "Movie with ID:315635 fetched!\n",
      "Movie with ID:559 fetched!\n",
      "Movie with ID:1930 fetched!\n",
      "Movie with ID:68658 fetched!\n",
      "Movie with ID:558 fetched!\n",
      "Movie with ID:102382 fetched!\n",
      "Movie with ID:112679 fetched!\n",
      "Movie with ID:181508 fetched!\n",
      "Movie with ID:49131 fetched!\n",
      "Movie with ID:228088 fetched!\n",
      "Movie with ID:148918 fetched!\n",
      "Movie with ID:429617 fetched!\n",
      "Movie with ID:445033 fetched!\n",
      "Movie with ID:324857 fetched!\n",
      "Movie with ID:172799 fetched!\n",
      "Movie with ID:225925 fetched!\n",
      "Movie with ID:270768 fetched!\n",
      "Movie with ID:225914 fetched!\n",
      "Movie with ID:50410 fetched!\n"
     ]
    }
   ],
   "source": [
    "similar_movies = get_similar_movies(\"Spiderman\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>TITLE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>557</td>\n",
       "      <td>Spider-Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>315635</td>\n",
       "      <td>Spider-Man: Homecoming</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>559</td>\n",
       "      <td>Spider-Man 3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1930</td>\n",
       "      <td>The Amazing Spider-Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>68658</td>\n",
       "      <td>Spiderman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>558</td>\n",
       "      <td>Spider-Man 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>102382</td>\n",
       "      <td>The Amazing Spider-Man 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>112679</td>\n",
       "      <td>Italian Spiderman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>181508</td>\n",
       "      <td>Spider-Man Tech</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>49131</td>\n",
       "      <td>Spiderman: The Ultimate Villain Showdown</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>228088</td>\n",
       "      <td>Spider-Man - Once Upon a Time the Super Heroes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>148918</td>\n",
       "      <td>Superman, Spiderman or Batman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>429617</td>\n",
       "      <td>Untitled Spider-Man: Homecoming Sequel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>445033</td>\n",
       "      <td>Spider-Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>324857</td>\n",
       "      <td>Spider-Man: Into the Spider-Verse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>172799</td>\n",
       "      <td>Spider-Man vs. Doc Ock</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>225925</td>\n",
       "      <td>Spider-Man Strikes Back</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>270768</td>\n",
       "      <td>Daredevil vs. Spider-Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>225914</td>\n",
       "      <td>The Amazing Spider-Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>50410</td>\n",
       "      <td>Spider-Man: The Venom Saga</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        ID                                           TITLE\n",
       "0      557                                      Spider-Man\n",
       "1   315635                          Spider-Man: Homecoming\n",
       "2      559                                    Spider-Man 3\n",
       "3     1930                          The Amazing Spider-Man\n",
       "4    68658                                       Spiderman\n",
       "5      558                                    Spider-Man 2\n",
       "6   102382                        The Amazing Spider-Man 2\n",
       "7   112679                               Italian Spiderman\n",
       "8   181508                                 Spider-Man Tech\n",
       "9    49131        Spiderman: The Ultimate Villain Showdown\n",
       "10  228088  Spider-Man - Once Upon a Time the Super Heroes\n",
       "11  148918                   Superman, Spiderman or Batman\n",
       "12  429617          Untitled Spider-Man: Homecoming Sequel\n",
       "13  445033                                      Spider-Man\n",
       "14  324857               Spider-Man: Into the Spider-Verse\n",
       "15  172799                          Spider-Man vs. Doc Ock\n",
       "16  225925                         Spider-Man Strikes Back\n",
       "17  270768                        Daredevil vs. Spider-Man\n",
       "18  225914                          The Amazing Spider-Man\n",
       "19   50410                      Spider-Man: The Venom Saga"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "similar_movies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's get more details per ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TITLE: Spider-Man\n",
      "\n",
      "TAGLINE: With great power comes great responsibility.\n",
      "\n",
      "POPULARITY: 34.141267\n",
      "\n",
      "BUDGET: 139000000\n",
      "\n",
      "REVENUE: 821708551\n",
      "\n",
      "RUNTIME: 121\n",
      "\n",
      "VOTE_AVERAGE: 6.9\n",
      "\n"
     ]
    }
   ],
   "source": [
    "response = get_movie_by_id(557)\n",
    "print_movie_meta(response)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# What are the movie Genres?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "genres = return_genres()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>28</td>\n",
       "      <td>Action</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12</td>\n",
       "      <td>Adventure</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16</td>\n",
       "      <td>Animation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>35</td>\n",
       "      <td>Comedy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>80</td>\n",
       "      <td>Crime</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>99</td>\n",
       "      <td>Documentary</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>18</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10751</td>\n",
       "      <td>Family</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>14</td>\n",
       "      <td>Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>36</td>\n",
       "      <td>History</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>27</td>\n",
       "      <td>Horror</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>10402</td>\n",
       "      <td>Music</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>9648</td>\n",
       "      <td>Mystery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>10749</td>\n",
       "      <td>Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>878</td>\n",
       "      <td>Science Fiction</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>10770</td>\n",
       "      <td>TV Movie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>53</td>\n",
       "      <td>Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>10752</td>\n",
       "      <td>War</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>37</td>\n",
       "      <td>Western</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       id             name\n",
       "0      28           Action\n",
       "1      12        Adventure\n",
       "2      16        Animation\n",
       "3      35           Comedy\n",
       "4      80            Crime\n",
       "5      99      Documentary\n",
       "6      18            Drama\n",
       "7   10751           Family\n",
       "8      14          Fantasy\n",
       "9      36          History\n",
       "10     27           Horror\n",
       "11  10402            Music\n",
       "12   9648          Mystery\n",
       "13  10749          Romance\n",
       "14    878  Science Fiction\n",
       "15  10770         TV Movie\n",
       "16     53         Thriller\n",
       "17  10752              War\n",
       "18     37          Western"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genres"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Which is the most common genre? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "genres = get_genre_popularity(genres)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>name</th>\n",
       "      <th>movies_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>28</td>\n",
       "      <td>Action</td>\n",
       "      <td>21586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>11364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16</td>\n",
       "      <td>Animation</td>\n",
       "      <td>14995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>35</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>58487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>80</td>\n",
       "      <td>Crime</td>\n",
       "      <td>14952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>99</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>37949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>18</td>\n",
       "      <td>Drama</td>\n",
       "      <td>85979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10751</td>\n",
       "      <td>Family</td>\n",
       "      <td>11866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>14</td>\n",
       "      <td>Fantasy</td>\n",
       "      <td>7789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>36</td>\n",
       "      <td>History</td>\n",
       "      <td>5333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>27</td>\n",
       "      <td>Horror</td>\n",
       "      <td>18522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>10402</td>\n",
       "      <td>Music</td>\n",
       "      <td>14345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>9648</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>7467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>10749</td>\n",
       "      <td>Romance</td>\n",
       "      <td>22146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>878</td>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>8883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>10770</td>\n",
       "      <td>TV Movie</td>\n",
       "      <td>5082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>53</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>20984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>10752</td>\n",
       "      <td>War</td>\n",
       "      <td>4625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>37</td>\n",
       "      <td>Western</td>\n",
       "      <td>4761</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       id             name  movies_count\n",
       "0      28           Action         21586\n",
       "1      12        Adventure         11364\n",
       "2      16        Animation         14995\n",
       "3      35           Comedy         58487\n",
       "4      80            Crime         14952\n",
       "5      99      Documentary         37949\n",
       "6      18            Drama         85979\n",
       "7   10751           Family         11866\n",
       "8      14          Fantasy          7789\n",
       "9      36          History          5333\n",
       "10     27           Horror         18522\n",
       "11  10402            Music         14345\n",
       "12   9648          Mystery          7467\n",
       "13  10749          Romance         22146\n",
       "14    878  Science Fiction          8883\n",
       "15  10770         TV Movie          5082\n",
       "16     53         Thriller         20984\n",
       "17  10752              War          4625\n",
       "18     37          Western          4761"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genres"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's plot this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0xb10bef0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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I+CHpoeq3gDWAxyTNAKZExChS/BWk4gfwGSn5H2ASMB/wKbBRRGwJfMGskVrP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\nqykubGZmVlP+P46ruaV+jfKpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xafea358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(genres[\"movies_count\"], genres[\"name\"])\n",
    "plt.title(\"Genre Popularity\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let's get most popular movies!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'api_key': '85360a9a66ef1390085061c341f5cf15', 'sort_by': 'popularity.desc', 'language': 'en', 'include_adult': 'false', 'page': 1}\n"
     ]
    },
    {
     "data": {
      "image/png": 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vAf5OLMoDMVS/XInZvRN4tlxEpJRS6mFtRuCWNdZ/DXwJGEX0JPcsS7Gm1B0y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\nPPsDgDEtGnmI4fx1gFWA+0t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WZf5MaeTXAB4jEvX+25kvLKWUUsdlj773jGhnQA6AiIAc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\n6WDmGeJUAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xaeae908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_top_movies(\"popularity\", \"popularity\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Popularity of movies with highest Revenue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'api_key': '85360a9a66ef1390085061c341f5cf15', 'sort_by': 'revenue.desc', 'language': 'en', 'include_adult': 'false', 'page': 1}\n"
     ]
    },
    {
     "data": {
      "image/png": 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nW9s+oBv3/13ipun3JF0O3Gb7su7afzfL1h1dpBlihIyzqzVDnM0QIzRXnHSy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\njicDoiRJkiRJOp4MiJIkSZIk6Xj+D/CH0hfPfawUAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc5370b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_top_movies(\"revenue\", \"popularity\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}