![](\"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": [
"![](\"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": [
"| \n", " | ID | \n", "TITLE | \n", "
|---|---|---|
| 0 | \n", "557 | \n", "Spider-Man | \n", "
| 1 | \n", "315635 | \n", "Spider-Man: Homecoming | \n", "
| 2 | \n", "559 | \n", "Spider-Man 3 | \n", "
| 3 | \n", "1930 | \n", "The Amazing Spider-Man | \n", "
| 4 | \n", "68658 | \n", "Spiderman | \n", "
| 5 | \n", "558 | \n", "Spider-Man 2 | \n", "
| 6 | \n", "102382 | \n", "The Amazing Spider-Man 2 | \n", "
| 7 | \n", "112679 | \n", "Italian Spiderman | \n", "
| 8 | \n", "181508 | \n", "Spider-Man Tech | \n", "
| 9 | \n", "49131 | \n", "Spiderman: The Ultimate Villain Showdown | \n", "
| 10 | \n", "228088 | \n", "Spider-Man - Once Upon a Time the Super Heroes | \n", "
| 11 | \n", "148918 | \n", "Superman, Spiderman or Batman | \n", "
| 12 | \n", "429617 | \n", "Untitled Spider-Man: Homecoming Sequel | \n", "
| 13 | \n", "445033 | \n", "Spider-Man | \n", "
| 14 | \n", "324857 | \n", "Spider-Man: Into the Spider-Verse | \n", "
| 15 | \n", "172799 | \n", "Spider-Man vs. Doc Ock | \n", "
| 16 | \n", "225925 | \n", "Spider-Man Strikes Back | \n", "
| 17 | \n", "270768 | \n", "Daredevil vs. Spider-Man | \n", "
| 18 | \n", "225914 | \n", "The Amazing Spider-Man | \n", "
| 19 | \n", "50410 | \n", "Spider-Man: The Venom Saga | \n", "
| \n", " | id | \n", "name | \n", "
|---|---|---|
| 0 | \n", "28 | \n", "Action | \n", "
| 1 | \n", "12 | \n", "Adventure | \n", "
| 2 | \n", "16 | \n", "Animation | \n", "
| 3 | \n", "35 | \n", "Comedy | \n", "
| 4 | \n", "80 | \n", "Crime | \n", "
| 5 | \n", "99 | \n", "Documentary | \n", "
| 6 | \n", "18 | \n", "Drama | \n", "
| 7 | \n", "10751 | \n", "Family | \n", "
| 8 | \n", "14 | \n", "Fantasy | \n", "
| 9 | \n", "36 | \n", "History | \n", "
| 10 | \n", "27 | \n", "Horror | \n", "
| 11 | \n", "10402 | \n", "Music | \n", "
| 12 | \n", "9648 | \n", "Mystery | \n", "
| 13 | \n", "10749 | \n", "Romance | \n", "
| 14 | \n", "878 | \n", "Science Fiction | \n", "
| 15 | \n", "10770 | \n", "TV Movie | \n", "
| 16 | \n", "53 | \n", "Thriller | \n", "
| 17 | \n", "10752 | \n", "War | \n", "
| 18 | \n", "37 | \n", "Western | \n", "
| \n", " | id | \n", "name | \n", "movies_count | \n", "
|---|---|---|---|
| 0 | \n", "28 | \n", "Action | \n", "21586 | \n", "
| 1 | \n", "12 | \n", "Adventure | \n", "11364 | \n", "
| 2 | \n", "16 | \n", "Animation | \n", "14995 | \n", "
| 3 | \n", "35 | \n", "Comedy | \n", "58487 | \n", "
| 4 | \n", "80 | \n", "Crime | \n", "14952 | \n", "
| 5 | \n", "99 | \n", "Documentary | \n", "37949 | \n", "
| 6 | \n", "18 | \n", "Drama | \n", "85979 | \n", "
| 7 | \n", "10751 | \n", "Family | \n", "11866 | \n", "
| 8 | \n", "14 | \n", "Fantasy | \n", "7789 | \n", "
| 9 | \n", "36 | \n", "History | \n", "5333 | \n", "
| 10 | \n", "27 | \n", "Horror | \n", "18522 | \n", "
| 11 | \n", "10402 | \n", "Music | \n", "14345 | \n", "
| 12 | \n", "9648 | \n", "Mystery | \n", "7467 | \n", "
| 13 | \n", "10749 | \n", "Romance | \n", "22146 | \n", "
| 14 | \n", "878 | \n", "Science Fiction | \n", "8883 | \n", "
| 15 | \n", "10770 | \n", "TV Movie | \n", "5082 | \n", "
| 16 | \n", "53 | \n", "Thriller | \n", "20984 | \n", "
| 17 | \n", "10752 | \n", "War | \n", "4625 | \n", "
| 18 | \n", "37 | \n", "Western | \n", "4761 | \n", "