spotify_api.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# Project 2: Machine Learning\r\n",
    "---"
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Imports and API Prep"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "source": [
    "# Imports\r\n",
    "# import panel as pn\r\n",
    "# pn.extension('plotly')\r\n",
    "import plotly.express as px\r\n",
    "import pandas as pd\r\n",
    "# import hvplot.pandas\r\n",
    "import matplotlib.pyplot as plt\r\n",
    "import seaborn as sns\r\n",
    "import numpy as np\r\n",
    "import os\r\n",
    "from pathlib import Path\r\n",
    "from dotenv import load_dotenv\r\n",
    "import json, requests\r\n",
    "from pandas.io.json import json_normalize\r\n",
    "import random\r\n",
    "%matplotlib inline\r\n",
    "\r\n",
    "load_dotenv('token.env')"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "metadata": {},
     "execution_count": 1
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Spotify Web API"
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Preparing the Spotify API"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "source": [
    "# Retrieve Spotify API keys from environment variable\r\n",
    "s_key = os.getenv('SPOTIFY_KEY')\r\n",
    "s_secret_key = os.getenv('SPOTIFY_SECRET_KEY')\r\n",
    "\r\n",
    "# Retrieve user ID\r\n",
    "user_id = os.getenv('USER_ID')\r\n",
    "\r\n",
    "# URI for playlist 'Project Spotlight'\r\n",
    "spotlight = '0rJAeDOc54HBXerORlPwBh'\r\n",
    "\r\n",
    "# Base endpoint\r\n",
    "base_url = 'https://api.spotify.com/v1/'\r\n",
    "\r\n",
    "# OAuth token that includes the scope \"playlist-modify-private\"\r\n",
    "oauth = 'BQBFk82iooiXFaYfwowdEAhS5hQY371OKCwkzNyQTYbzruKL2AJAzAIbOa9gQzrNVQ_ViRNxgOnGFcEV_JcSxXKQqF9uRXMKQJV5XxMiJ2JKXCupFXrer0zqDQwrBv0fd4_CwQHtV24NQsYp5xtzbabZcDp7G920HQFFFd4kQMWzdkQnABksOrJ9QesHCDndi6weTKLaOO4lfg'\r\n"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Authorization"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "source": [
    "# Space-separated list of scopes for access to user data\r\n",
    "scopes = [\"playlist-modify-private playlist-modify-public\"]"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "source": [
    "# Authorization request to the Spotify Accounts service for user authentication \r\n",
    "auth_url = 'https://accounts.spotify.com/authorize'\r\n",
    "auth_request = requests.get(auth_url, params={\r\n",
    "    'client_id': s_key,\r\n",
    "    'client_secret': s_secret_key,\r\n",
    "    'scopes': scopes,\r\n",
    "    # 'response_type': 'code',\r\n",
    "})\r\n",
    "\r\n",
    "print(f'Base request: {auth_request}')"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Base request: <Response [200]>\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "source": [
    "# Request refresh and access tokens; Spotify returns access and refresh tokens\r\n",
    "token_url = 'https://accounts.spotify.com/api/token'\r\n",
    "token_request = requests.post(token_url, {\r\n",
    "    'grant_type': 'client_credentials',\r\n",
    "    'client_id': s_key,\r\n",
    "    'client_secret': s_secret_key,\r\n",
    "    'scopes': scopes,\r\n",
    "})\r\n",
    "print(f'Token request: {token_request}')\r\n",
    "\r\n",
    "auth_response_data = token_request.json()\r\n",
    "access_token = auth_response_data['access_token']\r\n"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Token request: <Response [200]>\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "source": [
    "headers = {\r\n",
    "    'Authorization': 'Bearer {token}'.format(token=access_token)\r\n",
    "}\r\n",
    "print(headers)"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "{'Authorization': 'Bearer BQC78OqmKCwHipt0wjX5m3Kf0GOHHxWtq0tQ7mzc28_9EM1QQ4L-pfTKUq2DTvHruddixxbkm1a6QiPd2FxFYs17D3OiMwsrV5K0JkJHrA4D7rVTq8Foc9lSVrkTN2TJjowUDrcLh0ucRlTJ'}\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Search Functions"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "source": [
    "# Variables for use with search functions\r\n",
    "artists = []\r\n",
    "genres = []\r\n",
    "tracks = []\r\n",
    "albums = []\r\n",
    "data = []"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Search by Artist URI"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "source": [
    "# Function to retrieve all data on all albums from an artist\r\n",
    "def get_artists_albums(artist_uri):\r\n",
    "    r = requests.get(base_url + 'artists/' + artist_uri + '/albums',\r\n",
    "                     headers=headers,\r\n",
    "                     params={'include_groups': 'album', 'limit': 50}\r\n",
    "                     )\r\n",
    "    r = r.json()\r\n",
    "    return r\r\n",
    "\r\n",
    "# get_artists_albums()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "source": [
    "# Code is derived from the article \"Exploring the Spotify API in Python\" linked in the ReadMe\r\n",
    "# Function that prints the names and release dates of all albums from an artist\r\n",
    "def list_artists_albums(artist_uri):\r\n",
    "    x = get_artists_albums(artist_uri)\r\n",
    "    for album in x['items']:\r\n",
    "        print(album['name'], ' --- ', album['release_date'])\r\n",
    "\r\n",
    "# list_artists_albums(artist_uris[0])\r\n",
    "\r\n",
    "# Function that returns a cleaned up list of tracks and their data across all albums from an artist\r\n",
    "def list_album_tracks(artist_uri):\r\n",
    "    x = get_artists_albums(artist_uri)\r\n",
    "    for album in x['items']:\r\n",
    "        album_name = album['name']\r\n",
    "        \r\n",
    "        trim_name = album_name.split('(')[0].strip()\r\n",
    "        if trim_name.upper() in albums:\r\n",
    "            continue\r\n",
    "        albums.append(trim_name.upper())\r\n",
    "        \r\n",
    "        print(album_name)\r\n",
    "        \r\n",
    "        r = requests.get(base_url + 'albums/' + album['id'] + '/tracks', headers=headers)\r\n",
    "        tracks = r.json()['items']\r\n",
    "        \r\n",
    "        for track in tracks:\r\n",
    "            \r\n",
    "            f = requests.get(base_url + 'audio-features/' + track['id'], headers=headers)\r\n",
    "            f = f.json()\r\n",
    "\r\n",
    "            f.update({\r\n",
    "                'track_name': track['name'],\r\n",
    "                'album_name': album_name,\r\n",
    "                'short_album_name': trim_name,\r\n",
    "                'release_date': album['release_date'],\r\n",
    "                'album_id': album['id']\r\n",
    "            })\r\n",
    "        \r\n",
    "            data.append(f)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Search by Album URI"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "source": [
    "# Get an album(s) data\r\n",
    "# Can search for a comma-separated list of albums, to a max of 20 IDs\r\n",
    "def get_album_info(album_uri):\r\n",
    "    r = requests.get(base_url + 'albums/' + album_uri, headers=headers)\r\n",
    "    r = r.json()\r\n",
    "    return r\r\n",
    "\r\n",
    "# get_album_info()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "source": [
    "# Get the tracks in an Album\r\n",
    "def get_album_tracks(album_uri):\r\n",
    "    r = requests.get(base_url + 'albums/' + album_uri + '/tracks', headers=headers)\r\n",
    "    r = r.json()\r\n",
    "    return r\r\n",
    "\r\n",
    "# get_album_tracks()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Search by Track URI"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "source": [
    "# Get data for a track\r\n",
    "def get_track(song_uri):\r\n",
    "    r = requests.get(base_url + 'tracks/' + song_uri, headers=headers)\r\n",
    "    r = r.json()\r\n",
    "    return r\r\n",
    "\r\n",
    "# get_track()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "source": [
    "# Get audio analysis for a track\r\n",
    "def get_analysis(song_uri):\r\n",
    "    r = requests.get(base_url + 'audio-analysis/' + song_uri, headers=headers)\r\n",
    "    r = r.json()\r\n",
    "    return r\r\n",
    "\r\n",
    "# get_analysis()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "source": [
    "# Get audio features for a track\r\n",
    "def get_features(song_uri):\r\n",
    "    r = requests.get(base_url + 'audio-features/' + song_uri, headers=headers)\r\n",
    "    r = r.json()\r\n",
    "    return r\r\n",
    "\r\n",
    "# get_features()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Search by Playlist URI\r\n"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "source": [
    "# Get playlist details\r\n",
    "def get_playlist(playlist_uri):\r\n",
    "    r = requests.get(base_url + 'playlists/' + playlist_uri, headers=headers)\r\n",
    "    r = r.json()\r\n",
    "    return r\r\n",
    "# get_playlist()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "source": [
    "# Get playlist tracks\r\n",
    "def get_playlist_items(playlist_uri):\r\n",
    "    r = requests.get(base_url + 'playlists/' + playlist_uri + '/tracks', headers=headers)\r\n",
    "    r = r.json()\r\n",
    "    return r\r\n",
    "\r\n",
    "# get_playlist_items()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "source": [
    "# Get recommendations\r\n",
    "def get_recommendations():\r\n",
    "    r = requests.get(base_url + 'recommendations?' + 'seed_artists=' + artists + '&seed_genre', + genres + '&seed_tracks=' + tracks , headers=headers)\r\n",
    "    r = r.json()\r\n",
    "    return r"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Data Exploration"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "source": [
    "# Retrieve playlist data\r\n",
    "get_playlist(spotlight)"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "{'collaborative': False,\n",
       " 'description': '',\n",
       " 'external_urls': {'spotify': 'https://open.spotify.com/playlist/0rJAeDOc54HBXerORlPwBh'},\n",
       " 'followers': {'href': None, 'total': 0},\n",
       " 'href': 'https://api.spotify.com/v1/playlists/0rJAeDOc54HBXerORlPwBh',\n",
       " 'id': '0rJAeDOc54HBXerORlPwBh',\n",
       " 'images': [{'height': 640,\n",
       "   'url': 'https://mosaic.scdn.co/640/ab67616d0000b2731b6e5705d04a7ce802ddcc47ab67616d0000b2731ec9b096319afbcc2dca6879ab67616d0000b27362b90648c0d6b69cf2d130e9ab67616d0000b273f907b080123b447dea8c3f9e',\n",
       "   'width': 640},\n",
       "  {'height': 300,\n",
       "   'url': 'https://mosaic.scdn.co/300/ab67616d0000b2731b6e5705d04a7ce802ddcc47ab67616d0000b2731ec9b096319afbcc2dca6879ab67616d0000b27362b90648c0d6b69cf2d130e9ab67616d0000b273f907b080123b447dea8c3f9e',\n",
       "   'width': 300},\n",
       "  {'height': 60,\n",
       "   'url': 'https://mosaic.scdn.co/60/ab67616d0000b2731b6e5705d04a7ce802ddcc47ab67616d0000b2731ec9b096319afbcc2dca6879ab67616d0000b27362b90648c0d6b69cf2d130e9ab67616d0000b273f907b080123b447dea8c3f9e',\n",
       "   'width': 60}],\n",
       " 'name': 'Project Spotlight',\n",
       " 'owner': {'display_name': 'Sal S.',\n",
       "  'external_urls': {'spotify': 'https://open.spotify.com/user/12143359127'},\n",
       "  'href': 'https://api.spotify.com/v1/users/12143359127',\n",
       "  'id': '12143359127',\n",
       "  'type': 'user',\n",
       "  'uri': 'spotify:user:12143359127'},\n",
       " 'primary_color': None,\n",
       " 'public': False,\n",
       " 'snapshot_id': 'MzYsNjdkYmIxZGUxMmU4MTY1OGVjOGVmOWFmMjZhZjI2Yzc1MjU2ZTNmYg==',\n",
       " 'tracks': {'href': 'https://api.spotify.com/v1/playlists/0rJAeDOc54HBXerORlPwBh/tracks?offset=0&limit=100',\n",
       "  'items': [{'added_at': '2021-09-16T22:54:57Z',\n",
       "    'added_by': {'external_urls': {'spotify': 'https://open.spotify.com/user/12143359127'},\n",
       "     'href': 'https://api.spotify.com/v1/users/12143359127',\n",
       "     'id': '12143359127',\n",
       "     'type': 'user',\n",
       "     'uri': 'spotify:user:12143359127'},\n",
       "    'is_local': False,\n",
       "    'primary_color': None,\n",
       "    'track': {'album': {'album_type': 'compilation',\n",
       "      'artists': [{'external_urls': {'spotify': 'https://open.spotify.com/artist/4phGZZrJZRo4ElhRtViYdl'},\n",
       "        'href': 'https://api.spotify.com/v1/artists/4phGZZrJZRo4ElhRtViYdl',\n",
       "        'id': '4phGZZrJZRo4ElhRtViYdl',\n",
       "        'name': 'Jason Mraz',\n",
       "        'type': 'artist',\n",
       "        'uri': 'spotify:artist:4phGZZrJZRo4ElhRtViYdl'}],\n",
       "      'available_markets': ['AD',\n",
       "       'AE',\n",
       "       'AG',\n",
       "       'AL',\n",
       "       'AM',\n",
       "       'AO',\n",
       "       'AR',\n",
       "       'AT',\n",
       "       'AU',\n",
       "       'AZ',\n",
       "       'BA',\n",
       "       'BB',\n",
       "       'BD',\n",
       "       'BE',\n",
       "       'BF',\n",
       "       'BG',\n",
       "       'BH',\n",
       "       'BI',\n",
       "       'BJ',\n",
       "       'BN',\n",
       "       'BO',\n",
       "       'BR',\n",
       "       'BS',\n",
       "       'BW',\n",
       "       'BY',\n",
       "       'BZ',\n",
       "       'CA',\n",
       "       'CH',\n",
       "       'CI',\n",
       "       'CL',\n",
       "       'CM',\n",
       "       'CO',\n",
       "       'CR',\n",
       "       'CV',\n",
       "       'CW',\n",
       "       'CY',\n",
       "       'CZ',\n",
       "       'DE',\n",
       "       'DJ',\n",
       "       'DK',\n",
       "       'DM',\n",
       "       'DO',\n",
       "       'DZ',\n",
       "       'EC',\n",
       "       'EE',\n",
       "       'EG',\n",
       "       'ES',\n",
       "       'FI',\n",
       "       'FJ',\n",
       "       'FM',\n",
       "       'FR',\n",
       "       'GA',\n",
       "       'GB',\n",
       "       'GD',\n",
       "       'GH',\n",
       "       'GM',\n",
       "       'GN',\n",
       "       'GQ',\n",
       "       'GR',\n",
       "       'GT',\n",
       "       'GW',\n",
       "       'HK',\n",
       "       'HN',\n",
       "       'HR',\n",
       "       'HT',\n",
       "       'HU',\n",
       "       'ID',\n",
       "       'IE',\n",
       "       'IL',\n",
       "       'IN',\n",
       "       'IS',\n",
       "       'IT',\n",
       "       'JM',\n",
       "       'JO',\n",
       "       'JP',\n",
       "       'KE',\n",
       "       'KG',\n",
       "       'KH',\n",
       "       'KM',\n",
       "       'KN',\n",
       "       'KR',\n",
       "       'KW',\n",
       "       'KZ',\n",
       "       'LA',\n",
       "       'LB',\n",
       "       'LC',\n",
       "       'LK',\n",
       "       'LR',\n",
       "       'LS',\n",
       "       'LT',\n",
       "       'LU',\n",
       "       'LV',\n",
       "       'MA',\n",
       "       'MC',\n",
       "       'MD',\n",
       "       'ME',\n",
       "       'MG',\n",
       "       'MK',\n",
       "       'ML',\n",
       "       'MN',\n",
       "       'MO',\n",
       "       'MR',\n",
       "       'MT',\n",
       "       'MU',\n",
       "       'MW',\n",
       "       'MY',\n",
       "       'MZ',\n",
       "       'NA',\n",
       "       'NE',\n",
       "       'NG',\n",
       "       'NI',\n",
       "       'NL',\n",
       "       'NO',\n",
       "       'NP',\n",
       "       'NZ',\n",
       "       'OM',\n",
       "       'PA',\n",
       "       'PE',\n",
       "       'PG',\n",
       "       'PH',\n",
       "       'PK',\n",
       "       'PL',\n",
       "       'PT',\n",
       "       'PY',\n",
       "       'QA',\n",
       "       'RO',\n",
       "       'RS',\n",
       "       'RU',\n",
       "       'RW',\n",
       "       'SA',\n",
       "       'SC',\n",
       "       'SE',\n",
       "       'SG',\n",
       "       'SI',\n",
       "       'SK',\n",
       "       'SL',\n",
       "       'SM',\n",
       "       'SN',\n",
       "       'ST',\n",
       "       'SV',\n",
       "       'SZ',\n",
       "       'TD',\n",
       "       'TG',\n",
       "       'TH',\n",
       "       'TL',\n",
       "       'TN',\n",
       "       'TR',\n",
       "       'TT',\n",
       "       'TW',\n",
       "       'TZ',\n",
       "       'UA',\n",
       "       'UG',\n",
       "       'US',\n",
       "       'UY',\n",
       "       'UZ',\n",
       "       'VC',\n",
       "       'VN',\n",
       "       'XK',\n",
       "       'ZA',\n",
       "       'ZM',\n",
       "       'ZW'],\n",
       "      'external_urls': {'spotify': 'https://open.spotify.com/album/1IptGRWKYkEzulCWfOnrA9'},\n",
       "      'href': 'https://api.spotify.com/v1/albums/1IptGRWKYkEzulCWfOnrA9',\n",
       "      'id': '1IptGRWKYkEzulCWfOnrA9',\n",
       "      'images': [{'height': 640,\n",
       "        'url': 'https://i.scdn.co/image/ab67616d0000b273f907b080123b447dea8c3f9e',\n",
       "        'width': 640},\n",
       "       {'height': 300,\n",
       "        'url': 'https://i.scdn.co/image/ab67616d00001e02f907b080123b447dea8c3f9e',\n",
       "        'width': 300},\n",
       "       {'height': 64,\n",
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       "      'BZ',\n",
       "      'CA',\n",
       "      'CH',\n",
       "      'CI',\n",
       "      'CL',\n",
       "      'CM',\n",
       "      'CO',\n",
       "      'CR',\n",
       "      'CV',\n",
       "      'CW',\n",
       "      'CY',\n",
       "      'CZ',\n",
       "      'DE',\n",
       "      'DJ',\n",
       "      'DK',\n",
       "      'DM',\n",
       "      'DO',\n",
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       "      'EC',\n",
       "      'EE',\n",
       "      'EG',\n",
       "      'ES',\n",
       "      'FI',\n",
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       "      'FM',\n",
       "      'FR',\n",
       "      'GA',\n",
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       "      'HK',\n",
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       "      'ID',\n",
       "      'IE',\n",
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       "      'IS',\n",
       "      'IT',\n",
       "      'JM',\n",
       "      'JO',\n",
       "      'JP',\n",
       "      'KE',\n",
       "      'KG',\n",
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       "      'KI',\n",
       "      'KM',\n",
       "      'KN',\n",
       "      'KR',\n",
       "      'KW',\n",
       "      'KZ',\n",
       "      'LA',\n",
       "      'LB',\n",
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       "      'LK',\n",
       "      'LR',\n",
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       "      'MA',\n",
       "      'MC',\n",
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       "      'MH',\n",
       "      'MK',\n",
       "      'ML',\n",
       "      'MN',\n",
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       "      'MR',\n",
       "      'MT',\n",
       "      'MU',\n",
       "      'MV',\n",
       "      'MW',\n",
       "      'MX',\n",
       "      'MY',\n",
       "      'MZ',\n",
       "      'NA',\n",
       "      'NE',\n",
       "      'NG',\n",
       "      'NI',\n",
       "      'NL',\n",
       "      'NO',\n",
       "      'NP',\n",
       "      'NR',\n",
       "      'NZ',\n",
       "      'OM',\n",
       "      'PA',\n",
       "      'PE',\n",
       "      'PG',\n",
       "      'PH',\n",
       "      'PK',\n",
       "      'PL',\n",
       "      'PS',\n",
       "      'PT',\n",
       "      'PW',\n",
       "      'PY',\n",
       "      'QA',\n",
       "      'RO',\n",
       "      'RS',\n",
       "      'RU',\n",
       "      'RW',\n",
       "      'SA',\n",
       "      'SB',\n",
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       "      'SG',\n",
       "      'SI',\n",
       "      'SK',\n",
       "      'SL',\n",
       "      'SM',\n",
       "      'SN',\n",
       "      'SR',\n",
       "      'ST',\n",
       "      'SV',\n",
       "      'SZ',\n",
       "      'TD',\n",
       "      'TG',\n",
       "      'TH',\n",
       "      'TL',\n",
       "      'TN',\n",
       "      'TO',\n",
       "      'TR',\n",
       "      'TT',\n",
       "      'TV',\n",
       "      'TW',\n",
       "      'TZ',\n",
       "      'UA',\n",
       "      'UG',\n",
       "      'US',\n",
       "      'UY',\n",
       "      'UZ',\n",
       "      'VC',\n",
       "      'VN',\n",
       "      'VU',\n",
       "      'WS',\n",
       "      'XK',\n",
       "      'ZA',\n",
       "      'ZM',\n",
       "      'ZW'],\n",
       "     'disc_number': 1,\n",
       "     'duration_ms': 186146,\n",
       "     'episode': False,\n",
       "     'explicit': False,\n",
       "     'external_ids': {'isrc': 'USRC11500211'},\n",
       "     'external_urls': {'spotify': 'https://open.spotify.com/track/2iptAVf9jZerlywLwiGhak'},\n",
       "     'href': 'https://api.spotify.com/v1/tracks/2iptAVf9jZerlywLwiGhak',\n",
       "     'id': '2iptAVf9jZerlywLwiGhak',\n",
       "     'is_local': False,\n",
       "     'name': 'Fallen Angel',\n",
       "     'popularity': 62,\n",
       "     'preview_url': 'https://p.scdn.co/mp3-preview/d723d1fc7e77949ed82b601ef7dc87350d0dcd18?cid=9450f2a4e71d455bad5dcd6d8886ffd5',\n",
       "     'track': True,\n",
       "     'track_number': 3,\n",
       "     'type': 'track',\n",
       "     'uri': 'spotify:track:2iptAVf9jZerlywLwiGhak'},\n",
       "    'video_thumbnail': {'url': None}},\n",
       "   {'added_at': '2021-09-18T02:39:17Z',\n",
       "    'added_by': {'external_urls': {'spotify': 'https://open.spotify.com/user/12143359127'},\n",
       "     'href': 'https://api.spotify.com/v1/users/12143359127',\n",
       "     'id': '12143359127',\n",
       "     'type': 'user',\n",
       "     'uri': 'spotify:user:12143359127'},\n",
       "    'is_local': False,\n",
       "    'primary_color': None,\n",
       "    'track': {'album': {'album_type': 'album',\n",
       "      'artists': [{'external_urls': {'spotify': 'https://open.spotify.com/artist/2ye2Wgw4gimLv2eAKyk1NB'},\n",
       "        'href': 'https://api.spotify.com/v1/artists/2ye2Wgw4gimLv2eAKyk1NB',\n",
       "        'id': '2ye2Wgw4gimLv2eAKyk1NB',\n",
       "        'name': 'Metallica',\n",
       "        'type': 'artist',\n",
       "        'uri': 'spotify:artist:2ye2Wgw4gimLv2eAKyk1NB'}],\n",
       "      'available_markets': ['CA', 'US'],\n",
       "      'external_urls': {'spotify': 'https://open.spotify.com/album/2omIeSJEGQeKHPOpiXgfkr'},\n",
       "      'href': 'https://api.spotify.com/v1/albums/2omIeSJEGQeKHPOpiXgfkr',\n",
       "      'id': '2omIeSJEGQeKHPOpiXgfkr',\n",
       "      'images': [{'height': 640,\n",
       "        'url': 'https://i.scdn.co/image/ab67616d0000b273533fd0b248052d04e6b732c0',\n",
       "        'width': 640},\n",
       "       {'height': 300,\n",
       "        'url': 'https://i.scdn.co/image/ab67616d00001e02533fd0b248052d04e6b732c0',\n",
       "        'width': 300},\n",
       "       {'height': 64,\n",
       "        'url': 'https://i.scdn.co/image/ab67616d00004851533fd0b248052d04e6b732c0',\n",
       "        'width': 64}],\n",
       "      'name': 'Ride The Lightning (Deluxe Remaster)',\n",
       "      'release_date': '1984-07-27',\n",
       "      'release_date_precision': 'day',\n",
       "      'total_tracks': 63,\n",
       "      'type': 'album',\n",
       "      'uri': 'spotify:album:2omIeSJEGQeKHPOpiXgfkr'},\n",
       "     'artists': [{'external_urls': {'spotify': 'https://open.spotify.com/artist/2ye2Wgw4gimLv2eAKyk1NB'},\n",
       "       'href': 'https://api.spotify.com/v1/artists/2ye2Wgw4gimLv2eAKyk1NB',\n",
       "       'id': '2ye2Wgw4gimLv2eAKyk1NB',\n",
       "       'name': 'Metallica',\n",
       "       'type': 'artist',\n",
       "       'uri': 'spotify:artist:2ye2Wgw4gimLv2eAKyk1NB'}],\n",
       "     'available_markets': ['CA', 'US'],\n",
       "     'disc_number': 1,\n",
       "     'duration_ms': 417226,\n",
       "     'episode': False,\n",
       "     'explicit': False,\n",
       "     'external_ids': {'isrc': 'USEE10170110'},\n",
       "     'external_urls': {'spotify': 'https://open.spotify.com/track/0dqGfCMAGyDgpUAgLNOjWd'},\n",
       "     'href': 'https://api.spotify.com/v1/tracks/0dqGfCMAGyDgpUAgLNOjWd',\n",
       "     'id': '0dqGfCMAGyDgpUAgLNOjWd',\n",
       "     'is_local': False,\n",
       "     'name': 'Fade To Black (Remastered)',\n",
       "     'popularity': 62,\n",
       "     'preview_url': 'https://p.scdn.co/mp3-preview/1ed11e779717e87b588b0a47c0e3a2b5a7717bfe?cid=9450f2a4e71d455bad5dcd6d8886ffd5',\n",
       "     'track': True,\n",
       "     'track_number': 4,\n",
       "     'type': 'track',\n",
       "     'uri': 'spotify:track:0dqGfCMAGyDgpUAgLNOjWd'},\n",
       "    'video_thumbnail': {'url': None}}],\n",
       "  'limit': 100,\n",
       "  'next': None,\n",
       "  'offset': 0,\n",
       "  'previous': None,\n",
       "  'total': 27},\n",
       " 'type': 'playlist',\n",
       " 'uri': 'spotify:playlist:0rJAeDOc54HBXerORlPwBh'}"
      ]
     },
     "metadata": {},
     "execution_count": 18
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "source": [
    "# Extract a track name from within the playlist json\r\n",
    "get_playlist(spotlight)['tracks']['items'][0]['track']['name']"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "'The Dynamo of Volition'"
      ]
     },
     "metadata": {},
     "execution_count": 19
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "source": [
    "# Get the number of tracks in the playlist and print\r\n",
    "length = len(get_playlist(spotlight)['tracks']['items'])\r\n",
    "print('Number of tracks:', length)"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Number of tracks: 27\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "source": [
    "# Get the URI for the first track in the playlist\r\n",
    "pl_track = get_playlist(spotlight)['tracks']['items'][0]['track']['id']\r\n",
    "print(pl_track)\r\n",
    "\r\n",
    "# Get audio features for the track\r\n",
    "get_features(pl_track)"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "334N4ssqhViaeazF9VAiBX\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "{'danceability': 0.706,\n",
       " 'energy': 0.818,\n",
       " 'key': 11,\n",
       " 'loudness': -7.844,\n",
       " 'mode': 0,\n",
       " 'speechiness': 0.0447,\n",
       " 'acousticness': 0.215,\n",
       " 'instrumentalness': 0,\n",
       " 'liveness': 0.312,\n",
       " 'valence': 0.737,\n",
       " 'tempo': 118.069,\n",
       " 'type': 'audio_features',\n",
       " 'id': '334N4ssqhViaeazF9VAiBX',\n",
       " 'uri': 'spotify:track:334N4ssqhViaeazF9VAiBX',\n",
       " 'track_href': 'https://api.spotify.com/v1/tracks/334N4ssqhViaeazF9VAiBX',\n",
       " 'analysis_url': 'https://api.spotify.com/v1/audio-analysis/334N4ssqhViaeazF9VAiBX',\n",
       " 'duration_ms': 216613,\n",
       " 'time_signature': 4}"
      ]
     },
     "metadata": {},
     "execution_count": 21
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Data Cleanup"
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Extracting Data from JSON"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "source": [
    "# Initialize empty lists and data frame\r\n",
    "tracks = []\r\n",
    "tracks_uris = []\r\n",
    "artists = []\r\n",
    "artists_uris = []\r\n",
    "features = []\r\n",
    "analysis = []\r\n",
    "df = pd.DataFrame()\r\n",
    "\r\n",
    "# Use a for loop that extracts the URIs of all tracks in the playlist and append results to the empty lists\r\n",
    "for i in range(length):\r\n",
    "    # Get URIs of tracks in the playlist\r\n",
    "    id = get_playlist(spotlight)['tracks']['items'][i]['track']['id']\r\n",
    "    \r\n",
    "    # Append track IDs (URIs) to empty list\r\n",
    "    tracks_uris.append(id)\r\n",
    "    \r\n",
    "    # Append track names to empty list\r\n",
    "    tracks.append(get_track(id)['name'])\r\n",
    "    \r\n",
    "    # Append artist IDs (URIs) to empty list\r\n",
    "    artists_uris.append(get_track(id)['album']['artists'][0]['id'])\r\n",
    "    \r\n",
    "    # Append artist names to empty list\r\n",
    "    artists.append(get_track(id)['album']['artists'][0]['name'])\r\n",
    "       \r\n",
    "    # Append audio features to empty list\r\n",
    "    features.append(get_features(id))\r\n",
    "    \r\n",
    "    # Append audio analysis to empty list\r\n",
    "    analysis.append(get_analysis(id))"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "source": [
    "# Work out extracting data from a track's json\r\n",
    "print('Song Title: ' + get_track(tracks_uris[0])['name'])\r\n",
    "print('Artist Name: ' + get_track(tracks_uris[0])['album']['artists'][0]['name'])\r\n",
    "print('Artist URI: ' + get_track(id)['album']['artists'][0]['id'])"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Song Title: The Dynamo of Volition\n",
      "Artist Name: Jason Mraz\n",
      "Artist URI: 2ye2Wgw4gimLv2eAKyk1NB\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "source": [
    "# Print track IDs and names\r\n",
    "print(tracks[:5])\r\n",
    "print(tracks_uris[:5])\r\n",
    "print(artists[:5])\r\n",
    "print(artists_uris[:5])"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "['The Dynamo of Volition', 'the Love Bug', 'the snack that smiles back (feat. raychel jay)', 'Like A Star', 'Good Man']\n",
      "['334N4ssqhViaeazF9VAiBX', '4L7RQjtv4kmhCuUlllF2mP', '6gfDkakl2eWMuGSiOyStC3', '5Anh8jULgeUgciLHCR25Mk', '3gFqVpiJk7pcKzy4aerQrW']\n",
      "['Jason Mraz', 'm-flo', 'Shawn Wasabi', 'Corinne Bailey Rae', 'Josh Ritter']\n",
      "['4phGZZrJZRo4ElhRtViYdl', '4UhiMIdxKqQxmzdE9nYe6O', '1DLKitfb8fshL0DtCecRpY', '29WzbAQtDnBJF09es0uddn', '6igfLpd8s6DBBAuwebRUuo']\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Creating Data Frames"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "source": [
    "# Create data frame of track names and artists\r\n",
    "tracks_df = pd.DataFrame({'track_name': tracks,'artist': artists})\r\n",
    "tracks_df.head()"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>track_name</th>\n",
       "      <th>artist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>The Dynamo of Volition</td>\n",
       "      <td>Jason Mraz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>the Love Bug</td>\n",
       "      <td>m-flo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>the snack that smiles back (feat. raychel jay)</td>\n",
       "      <td>Shawn Wasabi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Like A Star</td>\n",
       "      <td>Corinne Bailey Rae</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Good Man</td>\n",
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       "                                       track_name              artist\n",
       "0                          The Dynamo of Volition          Jason Mraz\n",
       "1                                    the Love Bug               m-flo\n",
       "2  the snack that smiles back (feat. raychel jay)        Shawn Wasabi\n",
       "3                                     Like A Star  Corinne Bailey Rae\n",
       "4                                        Good Man         Josh Ritter"
      ]
     },
     "metadata": {},
     "execution_count": 25
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "source": [
    "# Create data frame of audio features\r\n",
    "features_df = pd.DataFrame(features)\r\n",
    "features_df = pd.concat([tracks_df, features_df], axis=1).set_index(['track_name','artist'])\r\n",
    "features_df.head()"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
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       "  <tbody>\n",
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       "      <th>The Dynamo of Volition</th>\n",
       "      <th>Jason Mraz</th>\n",
       "      <td>0.706</td>\n",
       "      <td>0.818</td>\n",
       "      <td>11</td>\n",
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       "      <td>0.0447</td>\n",
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       "      <td>audio_features</td>\n",
       "      <td>334N4ssqhViaeazF9VAiBX</td>\n",
       "      <td>spotify:track:334N4ssqhViaeazF9VAiBX</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/334N4ssqhVia...</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/334N...</td>\n",
       "      <td>216613</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>the Love Bug</th>\n",
       "      <th>m-flo</th>\n",
       "      <td>0.725</td>\n",
       "      <td>0.826</td>\n",
       "      <td>1</td>\n",
       "      <td>-5.059</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0590</td>\n",
       "      <td>0.09530</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.375</td>\n",
       "      <td>0.720</td>\n",
       "      <td>117.015</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>4L7RQjtv4kmhCuUlllF2mP</td>\n",
       "      <td>spotify:track:4L7RQjtv4kmhCuUlllF2mP</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/4L7RQjtv4kmh...</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/4L7R...</td>\n",
       "      <td>242227</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>the snack that smiles back (feat. raychel jay)</th>\n",
       "      <th>Shawn Wasabi</th>\n",
       "      <td>0.761</td>\n",
       "      <td>0.788</td>\n",
       "      <td>4</td>\n",
       "      <td>-1.898</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1210</td>\n",
       "      <td>0.64600</td>\n",
       "      <td>0.00014</td>\n",
       "      <td>0.326</td>\n",
       "      <td>0.309</td>\n",
       "      <td>94.011</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>6gfDkakl2eWMuGSiOyStC3</td>\n",
       "      <td>spotify:track:6gfDkakl2eWMuGSiOyStC3</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/6gfDkakl2eWM...</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/6gfD...</td>\n",
       "      <td>204308</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Like A Star</th>\n",
       "      <th>Corinne Bailey Rae</th>\n",
       "      <td>0.606</td>\n",
       "      <td>0.226</td>\n",
       "      <td>2</td>\n",
       "      <td>-10.617</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0347</td>\n",
       "      <td>0.71500</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.142</td>\n",
       "      <td>122.711</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>5Anh8jULgeUgciLHCR25Mk</td>\n",
       "      <td>spotify:track:5Anh8jULgeUgciLHCR25Mk</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/5Anh8jULgeUg...</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/5Anh...</td>\n",
       "      <td>243213</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Good Man</th>\n",
       "      <th>Josh Ritter</th>\n",
       "      <td>0.613</td>\n",
       "      <td>0.682</td>\n",
       "      <td>4</td>\n",
       "      <td>-6.813</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0298</td>\n",
       "      <td>0.00444</td>\n",
       "      <td>0.00723</td>\n",
       "      <td>0.165</td>\n",
       "      <td>0.433</td>\n",
       "      <td>106.183</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>3gFqVpiJk7pcKzy4aerQrW</td>\n",
       "      <td>spotify:track:3gFqVpiJk7pcKzy4aerQrW</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/3gFqVpiJk7pc...</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/3gFq...</td>\n",
       "      <td>248999</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                   danceability  \\\n",
       "track_name                                     artist                             \n",
       "The Dynamo of Volition                         Jason Mraz                 0.706   \n",
       "the Love Bug                                   m-flo                      0.725   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi               0.761   \n",
       "Like A Star                                    Corinne Bailey Rae         0.606   \n",
       "Good Man                                       Josh Ritter                0.613   \n",
       "\n",
       "                                                                   energy  \\\n",
       "track_name                                     artist                       \n",
       "The Dynamo of Volition                         Jason Mraz           0.818   \n",
       "the Love Bug                                   m-flo                0.826   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi         0.788   \n",
       "Like A Star                                    Corinne Bailey Rae   0.226   \n",
       "Good Man                                       Josh Ritter          0.682   \n",
       "\n",
       "                                                                   key  \\\n",
       "track_name                                     artist                    \n",
       "The Dynamo of Volition                         Jason Mraz           11   \n",
       "the Love Bug                                   m-flo                 1   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi          4   \n",
       "Like A Star                                    Corinne Bailey Rae    2   \n",
       "Good Man                                       Josh Ritter           4   \n",
       "\n",
       "                                                                   loudness  \\\n",
       "track_name                                     artist                         \n",
       "The Dynamo of Volition                         Jason Mraz            -7.844   \n",
       "the Love Bug                                   m-flo                 -5.059   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi          -1.898   \n",
       "Like A Star                                    Corinne Bailey Rae   -10.617   \n",
       "Good Man                                       Josh Ritter           -6.813   \n",
       "\n",
       "                                                                   mode  \\\n",
       "track_name                                     artist                     \n",
       "The Dynamo of Volition                         Jason Mraz             0   \n",
       "the Love Bug                                   m-flo                  1   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi           1   \n",
       "Like A Star                                    Corinne Bailey Rae     0   \n",
       "Good Man                                       Josh Ritter            1   \n",
       "\n",
       "                                                                   speechiness  \\\n",
       "track_name                                     artist                            \n",
       "The Dynamo of Volition                         Jason Mraz               0.0447   \n",
       "the Love Bug                                   m-flo                    0.0590   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi             0.1210   \n",
       "Like A Star                                    Corinne Bailey Rae       0.0347   \n",
       "Good Man                                       Josh Ritter              0.0298   \n",
       "\n",
       "                                                                   acousticness  \\\n",
       "track_name                                     artist                             \n",
       "The Dynamo of Volition                         Jason Mraz               0.21500   \n",
       "the Love Bug                                   m-flo                    0.09530   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi             0.64600   \n",
       "Like A Star                                    Corinne Bailey Rae       0.71500   \n",
       "Good Man                                       Josh Ritter              0.00444   \n",
       "\n",
       "                                                                   instrumentalness  \\\n",
       "track_name                                     artist                                 \n",
       "The Dynamo of Volition                         Jason Mraz                   0.00000   \n",
       "the Love Bug                                   m-flo                        0.00000   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi                 0.00014   \n",
       "Like A Star                                    Corinne Bailey Rae           0.00010   \n",
       "Good Man                                       Josh Ritter                  0.00723   \n",
       "\n",
       "                                                                   liveness  \\\n",
       "track_name                                     artist                         \n",
       "The Dynamo of Volition                         Jason Mraz             0.312   \n",
       "the Love Bug                                   m-flo                  0.375   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi           0.326   \n",
       "Like A Star                                    Corinne Bailey Rae     0.350   \n",
       "Good Man                                       Josh Ritter            0.165   \n",
       "\n",
       "                                                                   valence  \\\n",
       "track_name                                     artist                        \n",
       "The Dynamo of Volition                         Jason Mraz            0.737   \n",
       "the Love Bug                                   m-flo                 0.720   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi          0.309   \n",
       "Like A Star                                    Corinne Bailey Rae    0.142   \n",
       "Good Man                                       Josh Ritter           0.433   \n",
       "\n",
       "                                                                     tempo  \\\n",
       "track_name                                     artist                        \n",
       "The Dynamo of Volition                         Jason Mraz          118.069   \n",
       "the Love Bug                                   m-flo               117.015   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi         94.011   \n",
       "Like A Star                                    Corinne Bailey Rae  122.711   \n",
       "Good Man                                       Josh Ritter         106.183   \n",
       "\n",
       "                                                                             type  \\\n",
       "track_name                                     artist                               \n",
       "The Dynamo of Volition                         Jason Mraz          audio_features   \n",
       "the Love Bug                                   m-flo               audio_features   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi        audio_features   \n",
       "Like A Star                                    Corinne Bailey Rae  audio_features   \n",
       "Good Man                                       Josh Ritter         audio_features   \n",
       "\n",
       "                                                                                       id  \\\n",
       "track_name                                     artist                                       \n",
       "The Dynamo of Volition                         Jason Mraz          334N4ssqhViaeazF9VAiBX   \n",
       "the Love Bug                                   m-flo               4L7RQjtv4kmhCuUlllF2mP   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi        6gfDkakl2eWMuGSiOyStC3   \n",
       "Like A Star                                    Corinne Bailey Rae  5Anh8jULgeUgciLHCR25Mk   \n",
       "Good Man                                       Josh Ritter         3gFqVpiJk7pcKzy4aerQrW   \n",
       "\n",
       "                                                                                                    uri  \\\n",
       "track_name                                     artist                                                     \n",
       "The Dynamo of Volition                         Jason Mraz          spotify:track:334N4ssqhViaeazF9VAiBX   \n",
       "the Love Bug                                   m-flo               spotify:track:4L7RQjtv4kmhCuUlllF2mP   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi        spotify:track:6gfDkakl2eWMuGSiOyStC3   \n",
       "Like A Star                                    Corinne Bailey Rae  spotify:track:5Anh8jULgeUgciLHCR25Mk   \n",
       "Good Man                                       Josh Ritter         spotify:track:3gFqVpiJk7pcKzy4aerQrW   \n",
       "\n",
       "                                                                                                          track_href  \\\n",
       "track_name                                     artist                                                                  \n",
       "The Dynamo of Volition                         Jason Mraz          https://api.spotify.com/v1/tracks/334N4ssqhVia...   \n",
       "the Love Bug                                   m-flo               https://api.spotify.com/v1/tracks/4L7RQjtv4kmh...   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi        https://api.spotify.com/v1/tracks/6gfDkakl2eWM...   \n",
       "Like A Star                                    Corinne Bailey Rae  https://api.spotify.com/v1/tracks/5Anh8jULgeUg...   \n",
       "Good Man                                       Josh Ritter         https://api.spotify.com/v1/tracks/3gFqVpiJk7pc...   \n",
       "\n",
       "                                                                                                        analysis_url  \\\n",
       "track_name                                     artist                                                                  \n",
       "The Dynamo of Volition                         Jason Mraz          https://api.spotify.com/v1/audio-analysis/334N...   \n",
       "the Love Bug                                   m-flo               https://api.spotify.com/v1/audio-analysis/4L7R...   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi        https://api.spotify.com/v1/audio-analysis/6gfD...   \n",
       "Like A Star                                    Corinne Bailey Rae  https://api.spotify.com/v1/audio-analysis/5Anh...   \n",
       "Good Man                                       Josh Ritter         https://api.spotify.com/v1/audio-analysis/3gFq...   \n",
       "\n",
       "                                                                   duration_ms  \\\n",
       "track_name                                     artist                            \n",
       "The Dynamo of Volition                         Jason Mraz               216613   \n",
       "the Love Bug                                   m-flo                    242227   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi             204308   \n",
       "Like A Star                                    Corinne Bailey Rae       243213   \n",
       "Good Man                                       Josh Ritter              248999   \n",
       "\n",
       "                                                                   time_signature  \n",
       "track_name                                     artist                              \n",
       "The Dynamo of Volition                         Jason Mraz                       4  \n",
       "the Love Bug                                   m-flo                            4  \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi                     4  \n",
       "Like A Star                                    Corinne Bailey Rae               4  \n",
       "Good Man                                       Josh Ritter                      4  "
      ]
     },
     "metadata": {},
     "execution_count": 26
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "source": [
    "# Create data frame of only measurable features\r\n",
    "metrics_df = features_df.iloc[:,:11]\r\n",
    "metrics_df"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "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></th>\n",
       "      <th>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>key</th>\n",
       "      <th>loudness</th>\n",
       "      <th>mode</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>liveness</th>\n",
       "      <th>valence</th>\n",
       "      <th>tempo</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>track_name</th>\n",
       "      <th>artist</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>The Dynamo of Volition</th>\n",
       "      <th>Jason Mraz</th>\n",
       "      <td>0.706</td>\n",
       "      <td>0.818</td>\n",
       "      <td>11</td>\n",
       "      <td>-7.844</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0447</td>\n",
       "      <td>0.215000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.3120</td>\n",
       "      <td>0.7370</td>\n",
       "      <td>118.069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>the Love Bug</th>\n",
       "      <th>m-flo</th>\n",
       "      <td>0.725</td>\n",
       "      <td>0.826</td>\n",
       "      <td>1</td>\n",
       "      <td>-5.059</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0590</td>\n",
       "      <td>0.095300</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.3750</td>\n",
       "      <td>0.7200</td>\n",
       "      <td>117.015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>the snack that smiles back (feat. raychel jay)</th>\n",
       "      <th>Shawn Wasabi</th>\n",
       "      <td>0.761</td>\n",
       "      <td>0.788</td>\n",
       "      <td>4</td>\n",
       "      <td>-1.898</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1210</td>\n",
       "      <td>0.646000</td>\n",
       "      <td>0.000140</td>\n",
       "      <td>0.3260</td>\n",
       "      <td>0.3090</td>\n",
       "      <td>94.011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Like A Star</th>\n",
       "      <th>Corinne Bailey Rae</th>\n",
       "      <td>0.606</td>\n",
       "      <td>0.226</td>\n",
       "      <td>2</td>\n",
       "      <td>-10.617</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0347</td>\n",
       "      <td>0.715000</td>\n",
       "      <td>0.000100</td>\n",
       "      <td>0.3500</td>\n",
       "      <td>0.1420</td>\n",
       "      <td>122.711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Good Man</th>\n",
       "      <th>Josh Ritter</th>\n",
       "      <td>0.613</td>\n",
       "      <td>0.682</td>\n",
       "      <td>4</td>\n",
       "      <td>-6.813</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0298</td>\n",
       "      <td>0.004440</td>\n",
       "      <td>0.007230</td>\n",
       "      <td>0.1650</td>\n",
       "      <td>0.4330</td>\n",
       "      <td>106.183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>So Mi Like It</th>\n",
       "      <th>Various Artists</th>\n",
       "      <td>0.819</td>\n",
       "      <td>0.653</td>\n",
       "      <td>2</td>\n",
       "      <td>-3.708</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3810</td>\n",
       "      <td>0.035600</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1060</td>\n",
       "      <td>0.7410</td>\n",
       "      <td>90.075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>We Are The World</th>\n",
       "      <th>U.S.A. For Africa</th>\n",
       "      <td>0.528</td>\n",
       "      <td>0.447</td>\n",
       "      <td>4</td>\n",
       "      <td>-15.255</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0435</td>\n",
       "      <td>0.189000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0745</td>\n",
       "      <td>0.2920</td>\n",
       "      <td>72.580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(Everything I Do) I Do It For You</th>\n",
       "      <th>Bryan Adams</th>\n",
       "      <td>0.526</td>\n",
       "      <td>0.365</td>\n",
       "      <td>1</td>\n",
       "      <td>-12.605</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0280</td>\n",
       "      <td>0.077500</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>0.0618</td>\n",
       "      <td>0.2530</td>\n",
       "      <td>131.253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Humble And Kind</th>\n",
       "      <th>Tim McGraw</th>\n",
       "      <td>0.355</td>\n",
       "      <td>0.480</td>\n",
       "      <td>11</td>\n",
       "      <td>-7.310</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0282</td>\n",
       "      <td>0.679000</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.1200</td>\n",
       "      <td>0.1370</td>\n",
       "      <td>100.956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blinding Lights</th>\n",
       "      <th>The Weeknd</th>\n",
       "      <td>0.514</td>\n",
       "      <td>0.730</td>\n",
       "      <td>1</td>\n",
       "      <td>-5.934</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0598</td>\n",
       "      <td>0.001460</td>\n",
       "      <td>0.000095</td>\n",
       "      <td>0.0897</td>\n",
       "      <td>0.3340</td>\n",
       "      <td>171.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Divide (feat. Kelsey Bulkin)</th>\n",
       "      <th>ODESZA</th>\n",
       "      <td>0.494</td>\n",
       "      <td>0.572</td>\n",
       "      <td>0</td>\n",
       "      <td>-5.688</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0340</td>\n",
       "      <td>0.013700</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>0.4330</td>\n",
       "      <td>0.2290</td>\n",
       "      <td>85.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Awaken</th>\n",
       "      <th>Metalocalypse: Dethklok</th>\n",
       "      <td>0.509</td>\n",
       "      <td>0.936</td>\n",
       "      <td>8</td>\n",
       "      <td>-6.690</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0686</td>\n",
       "      <td>0.000028</td>\n",
       "      <td>0.464000</td>\n",
       "      <td>0.2540</td>\n",
       "      <td>0.4530</td>\n",
       "      <td>95.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drifting</th>\n",
       "      <th>BENEE</th>\n",
       "      <td>0.770</td>\n",
       "      <td>0.688</td>\n",
       "      <td>1</td>\n",
       "      <td>-6.000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0350</td>\n",
       "      <td>0.011900</td>\n",
       "      <td>0.007860</td>\n",
       "      <td>0.1070</td>\n",
       "      <td>0.4060</td>\n",
       "      <td>100.006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Same Effect</th>\n",
       "      <th>BENEE</th>\n",
       "      <td>0.778</td>\n",
       "      <td>0.598</td>\n",
       "      <td>2</td>\n",
       "      <td>-7.626</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0423</td>\n",
       "      <td>0.071800</td>\n",
       "      <td>0.021100</td>\n",
       "      <td>0.1220</td>\n",
       "      <td>0.8740</td>\n",
       "      <td>141.965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Level Up</th>\n",
       "      <th>Ciara</th>\n",
       "      <td>0.746</td>\n",
       "      <td>0.825</td>\n",
       "      <td>1</td>\n",
       "      <td>-4.666</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1690</td>\n",
       "      <td>0.014200</td>\n",
       "      <td>0.010700</td>\n",
       "      <td>0.1210</td>\n",
       "      <td>0.5840</td>\n",
       "      <td>152.914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ms. Jackson - Radio Mix</th>\n",
       "      <th>Outkast</th>\n",
       "      <td>0.832</td>\n",
       "      <td>0.791</td>\n",
       "      <td>4</td>\n",
       "      <td>-5.997</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2880</td>\n",
       "      <td>0.144000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0702</td>\n",
       "      <td>0.6020</td>\n",
       "      <td>95.007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Simon Says</th>\n",
       "      <th>Pharoahe Monch</th>\n",
       "      <td>0.622</td>\n",
       "      <td>0.913</td>\n",
       "      <td>1</td>\n",
       "      <td>-3.701</td>\n",
       "      <td>1</td>\n",
       "      <td>0.4620</td>\n",
       "      <td>0.141000</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>0.1200</td>\n",
       "      <td>0.5460</td>\n",
       "      <td>92.222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Call on Me - Radio Mix</th>\n",
       "      <th>Eric Prydz</th>\n",
       "      <td>0.597</td>\n",
       "      <td>0.837</td>\n",
       "      <td>10</td>\n",
       "      <td>-6.518</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3750</td>\n",
       "      <td>0.004270</td>\n",
       "      <td>0.001150</td>\n",
       "      <td>0.8390</td>\n",
       "      <td>0.4470</td>\n",
       "      <td>126.342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ultralight Beam</th>\n",
       "      <th>Kanye West</th>\n",
       "      <td>0.615</td>\n",
       "      <td>0.394</td>\n",
       "      <td>8</td>\n",
       "      <td>-9.024</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3940</td>\n",
       "      <td>0.627000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.5220</td>\n",
       "      <td>0.3870</td>\n",
       "      <td>105.359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Finally</th>\n",
       "      <th>Kings Of Tomorrow</th>\n",
       "      <td>0.859</td>\n",
       "      <td>0.584</td>\n",
       "      <td>7</td>\n",
       "      <td>-10.933</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0584</td>\n",
       "      <td>0.013500</td>\n",
       "      <td>0.000039</td>\n",
       "      <td>0.2510</td>\n",
       "      <td>0.8330</td>\n",
       "      <td>124.988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Baba O'Riley</th>\n",
       "      <th>The Who</th>\n",
       "      <td>0.489</td>\n",
       "      <td>0.724</td>\n",
       "      <td>5</td>\n",
       "      <td>-8.367</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0352</td>\n",
       "      <td>0.313000</td>\n",
       "      <td>0.185000</td>\n",
       "      <td>0.2870</td>\n",
       "      <td>0.1500</td>\n",
       "      <td>117.292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>My Heart Will Go On - Love Theme from \"Titanic\"</th>\n",
       "      <th>Céline Dion</th>\n",
       "      <td>0.428</td>\n",
       "      <td>0.276</td>\n",
       "      <td>4</td>\n",
       "      <td>-11.729</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0312</td>\n",
       "      <td>0.732000</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>0.1170</td>\n",
       "      <td>0.0382</td>\n",
       "      <td>99.195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Suraj Hua Maddham</th>\n",
       "      <th>Jatin-Lalit</th>\n",
       "      <td>0.633</td>\n",
       "      <td>0.691</td>\n",
       "      <td>5</td>\n",
       "      <td>-5.851</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0557</td>\n",
       "      <td>0.329000</td>\n",
       "      <td>0.000211</td>\n",
       "      <td>0.1340</td>\n",
       "      <td>0.5700</td>\n",
       "      <td>80.002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Do Dil Mil Rahe Hai</th>\n",
       "      <th>Nadeem Shravan</th>\n",
       "      <td>0.600</td>\n",
       "      <td>0.505</td>\n",
       "      <td>10</td>\n",
       "      <td>-14.205</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0385</td>\n",
       "      <td>0.126000</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.0841</td>\n",
       "      <td>0.4180</td>\n",
       "      <td>93.905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tumbling Dice</th>\n",
       "      <th>The Rolling Stones</th>\n",
       "      <td>0.615</td>\n",
       "      <td>0.910</td>\n",
       "      <td>11</td>\n",
       "      <td>-4.248</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0347</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.511000</td>\n",
       "      <td>0.2810</td>\n",
       "      <td>0.7700</td>\n",
       "      <td>111.013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fallen Angel</th>\n",
       "      <th>Three Days Grace</th>\n",
       "      <td>0.453</td>\n",
       "      <td>0.911</td>\n",
       "      <td>2</td>\n",
       "      <td>-3.775</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0382</td>\n",
       "      <td>0.005540</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0627</td>\n",
       "      <td>0.2180</td>\n",
       "      <td>137.011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fade To Black (Remastered)</th>\n",
       "      <th>Metallica</th>\n",
       "      <td>0.256</td>\n",
       "      <td>0.929</td>\n",
       "      <td>7</td>\n",
       "      <td>-6.667</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1130</td>\n",
       "      <td>0.003110</td>\n",
       "      <td>0.201000</td>\n",
       "      <td>0.1100</td>\n",
       "      <td>0.2780</td>\n",
       "      <td>113.470</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                         danceability  \\\n",
       "track_name                                      artist                                  \n",
       "The Dynamo of Volition                          Jason Mraz                      0.706   \n",
       "the Love Bug                                    m-flo                           0.725   \n",
       "the snack that smiles back (feat. raychel jay)  Shawn Wasabi                    0.761   \n",
       "Like A Star                                     Corinne Bailey Rae              0.606   \n",
       "Good Man                                        Josh Ritter                     0.613   \n",
       "So Mi Like It                                   Various Artists                 0.819   \n",
       "We Are The World                                U.S.A. For Africa               0.528   \n",
       "(Everything I Do) I Do It For You               Bryan Adams                     0.526   \n",
       "Humble And Kind                                 Tim McGraw                      0.355   \n",
       "Blinding Lights                                 The Weeknd                      0.514   \n",
       "Divide (feat. Kelsey Bulkin)                    ODESZA                          0.494   \n",
       "Awaken                                          Metalocalypse: Dethklok         0.509   \n",
       "Drifting                                        BENEE                           0.770   \n",
       "Same Effect                                     BENEE                           0.778   \n",
       "Level Up                                        Ciara                           0.746   \n",
       "Ms. Jackson - Radio Mix                         Outkast                         0.832   \n",
       "Simon Says                                      Pharoahe Monch                  0.622   \n",
       "Call on Me - Radio Mix                          Eric Prydz                      0.597   \n",
       "Ultralight Beam                                 Kanye West                      0.615   \n",
       "Finally                                         Kings Of Tomorrow               0.859   \n",
       "Baba O'Riley                                    The Who                         0.489   \n",
       "My Heart Will Go On - Love Theme from \"Titanic\" Céline Dion                     0.428   \n",
       "Suraj Hua Maddham                               Jatin-Lalit                     0.633   \n",
       "Do Dil Mil Rahe Hai                             Nadeem Shravan                  0.600   \n",
       "Tumbling Dice                                   The Rolling Stones              0.615   \n",
       "Fallen Angel                                    Three Days Grace                0.453   \n",
       "Fade To Black (Remastered)                      Metallica                       0.256   \n",
       "\n",
       "                                                                         energy  \\\n",
       "track_name                                      artist                            \n",
       "The Dynamo of Volition                          Jason Mraz                0.818   \n",
       "the Love Bug                                    m-flo                     0.826   \n",
       "the snack that smiles back (feat. raychel jay)  Shawn Wasabi              0.788   \n",
       "Like A Star                                     Corinne Bailey Rae        0.226   \n",
       "Good Man                                        Josh Ritter               0.682   \n",
       "So Mi Like It                                   Various Artists           0.653   \n",
       "We Are The World                                U.S.A. For Africa         0.447   \n",
       "(Everything I Do) I Do It For You               Bryan Adams               0.365   \n",
       "Humble And Kind                                 Tim McGraw                0.480   \n",
       "Blinding Lights                                 The Weeknd                0.730   \n",
       "Divide (feat. Kelsey Bulkin)                    ODESZA                    0.572   \n",
       "Awaken                                          Metalocalypse: Dethklok   0.936   \n",
       "Drifting                                        BENEE                     0.688   \n",
       "Same Effect                                     BENEE                     0.598   \n",
       "Level Up                                        Ciara                     0.825   \n",
       "Ms. Jackson - Radio Mix                         Outkast                   0.791   \n",
       "Simon Says                                      Pharoahe Monch            0.913   \n",
       "Call on Me - Radio Mix                          Eric Prydz                0.837   \n",
       "Ultralight Beam                                 Kanye West                0.394   \n",
       "Finally                                         Kings Of Tomorrow         0.584   \n",
       "Baba O'Riley                                    The Who                   0.724   \n",
       "My Heart Will Go On - Love Theme from \"Titanic\" Céline Dion               0.276   \n",
       "Suraj Hua Maddham                               Jatin-Lalit               0.691   \n",
       "Do Dil Mil Rahe Hai                             Nadeem Shravan            0.505   \n",
       "Tumbling Dice                                   The Rolling Stones        0.910   \n",
       "Fallen Angel                                    Three Days Grace          0.911   \n",
       "Fade To Black (Remastered)                      Metallica                 0.929   \n",
       "\n",
       "                                                                         key  \\\n",
       "track_name                                      artist                         \n",
       "The Dynamo of Volition                          Jason Mraz                11   \n",
       "the Love Bug                                    m-flo                      1   \n",
       "the snack that smiles back (feat. raychel jay)  Shawn Wasabi               4   \n",
       "Like A Star                                     Corinne Bailey Rae         2   \n",
       "Good Man                                        Josh Ritter                4   \n",
       "So Mi Like It                                   Various Artists            2   \n",
       "We Are The World                                U.S.A. For Africa          4   \n",
       "(Everything I Do) I Do It For You               Bryan Adams                1   \n",
       "Humble And Kind                                 Tim McGraw                11   \n",
       "Blinding Lights                                 The Weeknd                 1   \n",
       "Divide (feat. Kelsey Bulkin)                    ODESZA                     0   \n",
       "Awaken                                          Metalocalypse: Dethklok    8   \n",
       "Drifting                                        BENEE                      1   \n",
       "Same Effect                                     BENEE                      2   \n",
       "Level Up                                        Ciara                      1   \n",
       "Ms. Jackson - Radio Mix                         Outkast                    4   \n",
       "Simon Says                                      Pharoahe Monch             1   \n",
       "Call on Me - Radio Mix                          Eric Prydz                10   \n",
       "Ultralight Beam                                 Kanye West                 8   \n",
       "Finally                                         Kings Of Tomorrow          7   \n",
       "Baba O'Riley                                    The Who                    5   \n",
       "My Heart Will Go On - Love Theme from \"Titanic\" Céline Dion                4   \n",
       "Suraj Hua Maddham                               Jatin-Lalit                5   \n",
       "Do Dil Mil Rahe Hai                             Nadeem Shravan            10   \n",
       "Tumbling Dice                                   The Rolling Stones        11   \n",
       "Fallen Angel                                    Three Days Grace           2   \n",
       "Fade To Black (Remastered)                      Metallica                  7   \n",
       "\n",
       "                                                                         loudness  \\\n",
       "track_name                                      artist                              \n",
       "The Dynamo of Volition                          Jason Mraz                 -7.844   \n",
       "the Love Bug                                    m-flo                      -5.059   \n",
       "the snack that smiles back (feat. raychel jay)  Shawn Wasabi               -1.898   \n",
       "Like A Star                                     Corinne Bailey Rae        -10.617   \n",
       "Good Man                                        Josh Ritter                -6.813   \n",
       "So Mi Like It                                   Various Artists            -3.708   \n",
       "We Are The World                                U.S.A. For Africa         -15.255   \n",
       "(Everything I Do) I Do It For You               Bryan Adams               -12.605   \n",
       "Humble And Kind                                 Tim McGraw                 -7.310   \n",
       "Blinding Lights                                 The Weeknd                 -5.934   \n",
       "Divide (feat. Kelsey Bulkin)                    ODESZA                     -5.688   \n",
       "Awaken                                          Metalocalypse: Dethklok    -6.690   \n",
       "Drifting                                        BENEE                      -6.000   \n",
       "Same Effect                                     BENEE                      -7.626   \n",
       "Level Up                                        Ciara                      -4.666   \n",
       "Ms. Jackson - Radio Mix                         Outkast                    -5.997   \n",
       "Simon Says                                      Pharoahe Monch             -3.701   \n",
       "Call on Me - Radio Mix                          Eric Prydz                 -6.518   \n",
       "Ultralight Beam                                 Kanye West                 -9.024   \n",
       "Finally                                         Kings Of Tomorrow         -10.933   \n",
       "Baba O'Riley                                    The Who                    -8.367   \n",
       "My Heart Will Go On - Love Theme from \"Titanic\" Céline Dion               -11.729   \n",
       "Suraj Hua Maddham                               Jatin-Lalit                -5.851   \n",
       "Do Dil Mil Rahe Hai                             Nadeem Shravan            -14.205   \n",
       "Tumbling Dice                                   The Rolling Stones         -4.248   \n",
       "Fallen Angel                                    Three Days Grace           -3.775   \n",
       "Fade To Black (Remastered)                      Metallica                  -6.667   \n",
       "\n",
       "                                                                         mode  \\\n",
       "track_name                                      artist                          \n",
       "The Dynamo of Volition                          Jason Mraz                  0   \n",
       "the Love Bug                                    m-flo                       1   \n",
       "the snack that smiles back (feat. raychel jay)  Shawn Wasabi                1   \n",
       "Like A Star                                     Corinne Bailey Rae          0   \n",
       "Good Man                                        Josh Ritter                 1   \n",
       "So Mi Like It                                   Various Artists             0   \n",
       "We Are The World                                U.S.A. For Africa           1   \n",
       "(Everything I Do) I Do It For You               Bryan Adams                 1   \n",
       "Humble And Kind                                 Tim McGraw                  1   \n",
       "Blinding Lights                                 The Weeknd                  1   \n",
       "Divide (feat. Kelsey Bulkin)                    ODESZA                      1   \n",
       "Awaken                                          Metalocalypse: Dethklok     1   \n",
       "Drifting                                        BENEE                       1   \n",
       "Same Effect                                     BENEE                       1   \n",
       "Level Up                                        Ciara                       1   \n",
       "Ms. Jackson - Radio Mix                         Outkast                     0   \n",
       "Simon Says                                      Pharoahe Monch              1   \n",
       "Call on Me - Radio Mix                          Eric Prydz                  1   \n",
       "Ultralight Beam                                 Kanye West                  1   \n",
       "Finally                                         Kings Of Tomorrow           1   \n",
       "Baba O'Riley                                    The Who                     1   \n",
       "My Heart Will Go On - Love Theme from \"Titanic\" Céline Dion                 1   \n",
       "Suraj Hua Maddham                               Jatin-Lalit                 1   \n",
       "Do Dil Mil Rahe Hai                             Nadeem Shravan              1   \n",
       "Tumbling Dice                                   The Rolling Stones          1   \n",
       "Fallen Angel                                    Three Days Grace            0   \n",
       "Fade To Black (Remastered)                      Metallica                   1   \n",
       "\n",
       "                                                                         speechiness  \\\n",
       "track_name                                      artist                                 \n",
       "The Dynamo of Volition                          Jason Mraz                    0.0447   \n",
       "the Love Bug                                    m-flo                         0.0590   \n",
       "the snack that smiles back (feat. raychel jay)  Shawn Wasabi                  0.1210   \n",
       "Like A Star                                     Corinne Bailey Rae            0.0347   \n",
       "Good Man                                        Josh Ritter                   0.0298   \n",
       "So Mi Like It                                   Various Artists               0.3810   \n",
       "We Are The World                                U.S.A. For Africa             0.0435   \n",
       "(Everything I Do) I Do It For You               Bryan Adams                   0.0280   \n",
       "Humble And Kind                                 Tim McGraw                    0.0282   \n",
       "Blinding Lights                                 The Weeknd                    0.0598   \n",
       "Divide (feat. Kelsey Bulkin)                    ODESZA                        0.0340   \n",
       "Awaken                                          Metalocalypse: Dethklok       0.0686   \n",
       "Drifting                                        BENEE                         0.0350   \n",
       "Same Effect                                     BENEE                         0.0423   \n",
       "Level Up                                        Ciara                         0.1690   \n",
       "Ms. Jackson - Radio Mix                         Outkast                       0.2880   \n",
       "Simon Says                                      Pharoahe Monch                0.4620   \n",
       "Call on Me - Radio Mix                          Eric Prydz                    0.3750   \n",
       "Ultralight Beam                                 Kanye West                    0.3940   \n",
       "Finally                                         Kings Of Tomorrow             0.0584   \n",
       "Baba O'Riley                                    The Who                       0.0352   \n",
       "My Heart Will Go On - Love Theme from \"Titanic\" Céline Dion                   0.0312   \n",
       "Suraj Hua Maddham                               Jatin-Lalit                   0.0557   \n",
       "Do Dil Mil Rahe Hai                             Nadeem Shravan                0.0385   \n",
       "Tumbling Dice                                   The Rolling Stones            0.0347   \n",
       "Fallen Angel                                    Three Days Grace              0.0382   \n",
       "Fade To Black (Remastered)                      Metallica                     0.1130   \n",
       "\n",
       "                                                                         acousticness  \\\n",
       "track_name                                      artist                                  \n",
       "The Dynamo of Volition                          Jason Mraz                   0.215000   \n",
       "the Love Bug                                    m-flo                        0.095300   \n",
       "the snack that smiles back (feat. raychel jay)  Shawn Wasabi                 0.646000   \n",
       "Like A Star                                     Corinne Bailey Rae           0.715000   \n",
       "Good Man                                        Josh Ritter                  0.004440   \n",
       "So Mi Like It                                   Various Artists              0.035600   \n",
       "We Are The World                                U.S.A. For Africa            0.189000   \n",
       "(Everything I Do) I Do It For You               Bryan Adams                  0.077500   \n",
       "Humble And Kind                                 Tim McGraw                   0.679000   \n",
       "Blinding Lights                                 The Weeknd                   0.001460   \n",
       "Divide (feat. Kelsey Bulkin)                    ODESZA                       0.013700   \n",
       "Awaken                                          Metalocalypse: Dethklok      0.000028   \n",
       "Drifting                                        BENEE                        0.011900   \n",
       "Same Effect                                     BENEE                        0.071800   \n",
       "Level Up                                        Ciara                        0.014200   \n",
       "Ms. Jackson - Radio Mix                         Outkast                      0.144000   \n",
       "Simon Says                                      Pharoahe Monch               0.141000   \n",
       "Call on Me - Radio Mix                          Eric Prydz                   0.004270   \n",
       "Ultralight Beam                                 Kanye West                   0.627000   \n",
       "Finally                                         Kings Of Tomorrow            0.013500   \n",
       "Baba O'Riley                                    The Who                      0.313000   \n",
       "My Heart Will Go On - Love Theme from \"Titanic\" Céline Dion                  0.732000   \n",
       "Suraj Hua Maddham                               Jatin-Lalit                  0.329000   \n",
       "Do Dil Mil Rahe Hai                             Nadeem Shravan               0.126000   \n",
       "Tumbling Dice                                   The Rolling Stones           0.500000   \n",
       "Fallen Angel                                    Three Days Grace             0.005540   \n",
       "Fade To Black (Remastered)                      Metallica                    0.003110   \n",
       "\n",
       "                                                                         instrumentalness  \\\n",
       "track_name                                      artist                                      \n",
       "The Dynamo of Volition                          Jason Mraz                       0.000000   \n",
       "the Love Bug                                    m-flo                            0.000000   \n",
       "the snack that smiles back (feat. raychel jay)  Shawn Wasabi                     0.000140   \n",
       "Like A Star                                     Corinne Bailey Rae               0.000100   \n",
       "Good Man                                        Josh Ritter                      0.007230   \n",
       "So Mi Like It                                   Various Artists                  0.000000   \n",
       "We Are The World                                U.S.A. For Africa                0.000000   \n",
       "(Everything I Do) I Do It For You               Bryan Adams                      0.000013   \n",
       "Humble And Kind                                 Tim McGraw                       0.000002   \n",
       "Blinding Lights                                 The Weeknd                       0.000095   \n",
       "Divide (feat. Kelsey Bulkin)                    ODESZA                           0.000003   \n",
       "Awaken                                          Metalocalypse: Dethklok          0.464000   \n",
       "Drifting                                        BENEE                            0.007860   \n",
       "Same Effect                                     BENEE                            0.021100   \n",
       "Level Up                                        Ciara                            0.010700   \n",
       "Ms. Jackson - Radio Mix                         Outkast                          0.000000   \n",
       "Simon Says                                      Pharoahe Monch                   0.000027   \n",
       "Call on Me - Radio Mix                          Eric Prydz                       0.001150   \n",
       "Ultralight Beam                                 Kanye West                       0.000000   \n",
       "Finally                                         Kings Of Tomorrow                0.000039   \n",
       "Baba O'Riley                                    The Who                          0.185000   \n",
       "My Heart Will Go On - Love Theme from \"Titanic\" Céline Dion                      0.000005   \n",
       "Suraj Hua Maddham                               Jatin-Lalit                      0.000211   \n",
       "Do Dil Mil Rahe Hai                             Nadeem Shravan                   0.000001   \n",
       "Tumbling Dice                                   The Rolling Stones               0.511000   \n",
       "Fallen Angel                                    Three Days Grace                 0.000000   \n",
       "Fade To Black (Remastered)                      Metallica                        0.201000   \n",
       "\n",
       "                                                                         liveness  \\\n",
       "track_name                                      artist                              \n",
       "The Dynamo of Volition                          Jason Mraz                 0.3120   \n",
       "the Love Bug                                    m-flo                      0.3750   \n",
       "the snack that smiles back (feat. raychel jay)  Shawn Wasabi               0.3260   \n",
       "Like A Star                                     Corinne Bailey Rae         0.3500   \n",
       "Good Man                                        Josh Ritter                0.1650   \n",
       "So Mi Like It                                   Various Artists            0.1060   \n",
       "We Are The World                                U.S.A. For Africa          0.0745   \n",
       "(Everything I Do) I Do It For You               Bryan Adams                0.0618   \n",
       "Humble And Kind                                 Tim McGraw                 0.1200   \n",
       "Blinding Lights                                 The Weeknd                 0.0897   \n",
       "Divide (feat. Kelsey Bulkin)                    ODESZA                     0.4330   \n",
       "Awaken                                          Metalocalypse: Dethklok    0.2540   \n",
       "Drifting                                        BENEE                      0.1070   \n",
       "Same Effect                                     BENEE                      0.1220   \n",
       "Level Up                                        Ciara                      0.1210   \n",
       "Ms. Jackson - Radio Mix                         Outkast                    0.0702   \n",
       "Simon Says                                      Pharoahe Monch             0.1200   \n",
       "Call on Me - Radio Mix                          Eric Prydz                 0.8390   \n",
       "Ultralight Beam                                 Kanye West                 0.5220   \n",
       "Finally                                         Kings Of Tomorrow          0.2510   \n",
       "Baba O'Riley                                    The Who                    0.2870   \n",
       "My Heart Will Go On - Love Theme from \"Titanic\" Céline Dion                0.1170   \n",
       "Suraj Hua Maddham                               Jatin-Lalit                0.1340   \n",
       "Do Dil Mil Rahe Hai                             Nadeem Shravan             0.0841   \n",
       "Tumbling Dice                                   The Rolling Stones         0.2810   \n",
       "Fallen Angel                                    Three Days Grace           0.0627   \n",
       "Fade To Black (Remastered)                      Metallica                  0.1100   \n",
       "\n",
       "                                                                         valence  \\\n",
       "track_name                                      artist                             \n",
       "The Dynamo of Volition                          Jason Mraz                0.7370   \n",
       "the Love Bug                                    m-flo                     0.7200   \n",
       "the snack that smiles back (feat. raychel jay)  Shawn Wasabi              0.3090   \n",
       "Like A Star                                     Corinne Bailey Rae        0.1420   \n",
       "Good Man                                        Josh Ritter               0.4330   \n",
       "So Mi Like It                                   Various Artists           0.7410   \n",
       "We Are The World                                U.S.A. For Africa         0.2920   \n",
       "(Everything I Do) I Do It For You               Bryan Adams               0.2530   \n",
       "Humble And Kind                                 Tim McGraw                0.1370   \n",
       "Blinding Lights                                 The Weeknd                0.3340   \n",
       "Divide (feat. Kelsey Bulkin)                    ODESZA                    0.2290   \n",
       "Awaken                                          Metalocalypse: Dethklok   0.4530   \n",
       "Drifting                                        BENEE                     0.4060   \n",
       "Same Effect                                     BENEE                     0.8740   \n",
       "Level Up                                        Ciara                     0.5840   \n",
       "Ms. Jackson - Radio Mix                         Outkast                   0.6020   \n",
       "Simon Says                                      Pharoahe Monch            0.5460   \n",
       "Call on Me - Radio Mix                          Eric Prydz                0.4470   \n",
       "Ultralight Beam                                 Kanye West                0.3870   \n",
       "Finally                                         Kings Of Tomorrow         0.8330   \n",
       "Baba O'Riley                                    The Who                   0.1500   \n",
       "My Heart Will Go On - Love Theme from \"Titanic\" Céline Dion               0.0382   \n",
       "Suraj Hua Maddham                               Jatin-Lalit               0.5700   \n",
       "Do Dil Mil Rahe Hai                             Nadeem Shravan            0.4180   \n",
       "Tumbling Dice                                   The Rolling Stones        0.7700   \n",
       "Fallen Angel                                    Three Days Grace          0.2180   \n",
       "Fade To Black (Remastered)                      Metallica                 0.2780   \n",
       "\n",
       "                                                                           tempo  \n",
       "track_name                                      artist                            \n",
       "The Dynamo of Volition                          Jason Mraz               118.069  \n",
       "the Love Bug                                    m-flo                    117.015  \n",
       "the snack that smiles back (feat. raychel jay)  Shawn Wasabi              94.011  \n",
       "Like A Star                                     Corinne Bailey Rae       122.711  \n",
       "Good Man                                        Josh Ritter              106.183  \n",
       "So Mi Like It                                   Various Artists           90.075  \n",
       "We Are The World                                U.S.A. For Africa         72.580  \n",
       "(Everything I Do) I Do It For You               Bryan Adams              131.253  \n",
       "Humble And Kind                                 Tim McGraw               100.956  \n",
       "Blinding Lights                                 The Weeknd               171.005  \n",
       "Divide (feat. Kelsey Bulkin)                    ODESZA                    85.110  \n",
       "Awaken                                          Metalocalypse: Dethklok   95.001  \n",
       "Drifting                                        BENEE                    100.006  \n",
       "Same Effect                                     BENEE                    141.965  \n",
       "Level Up                                        Ciara                    152.914  \n",
       "Ms. Jackson - Radio Mix                         Outkast                   95.007  \n",
       "Simon Says                                      Pharoahe Monch            92.222  \n",
       "Call on Me - Radio Mix                          Eric Prydz               126.342  \n",
       "Ultralight Beam                                 Kanye West               105.359  \n",
       "Finally                                         Kings Of Tomorrow        124.988  \n",
       "Baba O'Riley                                    The Who                  117.292  \n",
       "My Heart Will Go On - Love Theme from \"Titanic\" Céline Dion               99.195  \n",
       "Suraj Hua Maddham                               Jatin-Lalit               80.002  \n",
       "Do Dil Mil Rahe Hai                             Nadeem Shravan            93.905  \n",
       "Tumbling Dice                                   The Rolling Stones       111.013  \n",
       "Fallen Angel                                    Three Days Grace         137.011  \n",
       "Fade To Black (Remastered)                      Metallica                113.470  "
      ]
     },
     "metadata": {},
     "execution_count": 43
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "source": [
    "# Generate stats\r\n",
    "metrics_df.describe()"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "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>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>key</th>\n",
       "      <th>loudness</th>\n",
       "      <th>mode</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>liveness</th>\n",
       "      <th>valence</th>\n",
       "      <th>tempo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>27.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>2.700000e+01</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>27.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.609222</td>\n",
       "      <td>0.670333</td>\n",
       "      <td>4.703704</td>\n",
       "      <td>-7.360296</td>\n",
       "      <td>0.814815</td>\n",
       "      <td>0.114907</td>\n",
       "      <td>0.211420</td>\n",
       "      <td>5.221029e-02</td>\n",
       "      <td>0.218333</td>\n",
       "      <td>0.440785</td>\n",
       "      <td>110.913333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.149735</td>\n",
       "      <td>0.206044</td>\n",
       "      <td>3.635454</td>\n",
       "      <td>3.326159</td>\n",
       "      <td>0.395847</td>\n",
       "      <td>0.134914</td>\n",
       "      <td>0.257848</td>\n",
       "      <td>1.356067e-01</td>\n",
       "      <td>0.177346</td>\n",
       "      <td>0.233716</td>\n",
       "      <td>22.794460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.256000</td>\n",
       "      <td>0.226000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-15.255000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.028000</td>\n",
       "      <td>0.000028</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.061800</td>\n",
       "      <td>0.038200</td>\n",
       "      <td>72.580000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.511500</td>\n",
       "      <td>0.538500</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>-8.695500</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.034850</td>\n",
       "      <td>0.012700</td>\n",
       "      <td>5.050000e-07</td>\n",
       "      <td>0.106500</td>\n",
       "      <td>0.265500</td>\n",
       "      <td>94.506000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.613000</td>\n",
       "      <td>0.691000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>-6.667000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.044700</td>\n",
       "      <td>0.095300</td>\n",
       "      <td>3.900000e-05</td>\n",
       "      <td>0.122000</td>\n",
       "      <td>0.418000</td>\n",
       "      <td>106.183000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.735500</td>\n",
       "      <td>0.825500</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>-5.373500</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.117000</td>\n",
       "      <td>0.321000</td>\n",
       "      <td>7.545000e-03</td>\n",
       "      <td>0.299500</td>\n",
       "      <td>0.593000</td>\n",
       "      <td>123.849500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.859000</td>\n",
       "      <td>0.936000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>-1.898000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.462000</td>\n",
       "      <td>0.732000</td>\n",
       "      <td>5.110000e-01</td>\n",
       "      <td>0.839000</td>\n",
       "      <td>0.874000</td>\n",
       "      <td>171.005000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       danceability     energy        key   loudness       mode  speechiness  \\\n",
       "count     27.000000  27.000000  27.000000  27.000000  27.000000    27.000000   \n",
       "mean       0.609222   0.670333   4.703704  -7.360296   0.814815     0.114907   \n",
       "std        0.149735   0.206044   3.635454   3.326159   0.395847     0.134914   \n",
       "min        0.256000   0.226000   0.000000 -15.255000   0.000000     0.028000   \n",
       "25%        0.511500   0.538500   1.500000  -8.695500   1.000000     0.034850   \n",
       "50%        0.613000   0.691000   4.000000  -6.667000   1.000000     0.044700   \n",
       "75%        0.735500   0.825500   7.500000  -5.373500   1.000000     0.117000   \n",
       "max        0.859000   0.936000  11.000000  -1.898000   1.000000     0.462000   \n",
       "\n",
       "       acousticness  instrumentalness   liveness    valence       tempo  \n",
       "count     27.000000      2.700000e+01  27.000000  27.000000   27.000000  \n",
       "mean       0.211420      5.221029e-02   0.218333   0.440785  110.913333  \n",
       "std        0.257848      1.356067e-01   0.177346   0.233716   22.794460  \n",
       "min        0.000028      0.000000e+00   0.061800   0.038200   72.580000  \n",
       "25%        0.012700      5.050000e-07   0.106500   0.265500   94.506000  \n",
       "50%        0.095300      3.900000e-05   0.122000   0.418000  106.183000  \n",
       "75%        0.321000      7.545000e-03   0.299500   0.593000  123.849500  \n",
       "max        0.732000      5.110000e-01   0.839000   0.874000  171.005000  "
      ]
     },
     "metadata": {},
     "execution_count": 28
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "source": [
    "# Generate mean values\r\n",
    "mean = round(metrics_df.mean(), 4)\r\n",
    "mean"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "danceability          0.6092\n",
       "energy                0.6703\n",
       "key                   4.7037\n",
       "loudness             -7.3603\n",
       "mode                  0.8148\n",
       "speechiness           0.1149\n",
       "acousticness          0.2114\n",
       "instrumentalness      0.0522\n",
       "liveness              0.2183\n",
       "valence               0.4408\n",
       "tempo               110.9133\n",
       "dtype: float64"
      ]
     },
     "metadata": {},
     "execution_count": 29
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "source": [
    "# Create data frame of audio analysis\r\n",
    "analysis_df = pd.DataFrame(analysis)\r\n",
    "analysis_df = pd.concat([tracks_df, analysis_df], axis=1).set_index(['track_name','artist'])\r\n",
    "analysis_df.head()"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>meta</th>\n",
       "      <th>track</th>\n",
       "      <th>bars</th>\n",
       "      <th>beats</th>\n",
       "      <th>sections</th>\n",
       "      <th>segments</th>\n",
       "      <th>tatums</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>track_name</th>\n",
       "      <th>artist</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>The Dynamo of Volition</th>\n",
       "      <th>Jason Mraz</th>\n",
       "      <td>{'analyzer_version': '4.0.0', 'platform': 'Lin...</td>\n",
       "      <td>{'num_samples': 4776324, 'duration': 216.61333...</td>\n",
       "      <td>[{'start': 2.35438, 'duration': 2.08028, 'conf...</td>\n",
       "      <td>[{'start': 0.75758, 'duration': 0.52501, 'conf...</td>\n",
       "      <td>[{'start': 0.0, 'duration': 27.84956, 'confide...</td>\n",
       "      <td>[{'start': 0.0, 'duration': 0.19125, 'confiden...</td>\n",
       "      <td>[{'start': 0.75758, 'duration': 0.2625, 'confi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>the Love Bug</th>\n",
       "      <th>m-flo</th>\n",
       "      <td>{'analyzer_version': '4.0.0', 'platform': 'Lin...</td>\n",
       "      <td>{'num_samples': 5341098, 'duration': 242.22667...</td>\n",
       "      <td>[{'start': 0.99924, 'duration': 2.04374, 'conf...</td>\n",
       "      <td>[{'start': 0.99924, 'duration': 0.50224, 'conf...</td>\n",
       "      <td>[{'start': 0.0, 'duration': 25.08979, 'confide...</td>\n",
       "      <td>[{'start': 0.0, 'duration': 0.418, 'confidence...</td>\n",
       "      <td>[{'start': 0.99924, 'duration': 0.25112, 'conf...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>the snack that smiles back (feat. raychel jay)</th>\n",
       "      <th>Shawn Wasabi</th>\n",
       "      <td>{'analyzer_version': '4.0.0', 'platform': 'Lin...</td>\n",
       "      <td>{'num_samples': 4504996, 'duration': 204.30821...</td>\n",
       "      <td>[{'start': 0.15395, 'duration': 2.46271, 'conf...</td>\n",
       "      <td>[{'start': 0.15395, 'duration': 0.595, 'confid...</td>\n",
       "      <td>[{'start': 0.0, 'duration': 13.44361, 'confide...</td>\n",
       "      <td>[{'start': 0.0, 'duration': 0.23093, 'confiden...</td>\n",
       "      <td>[{'start': 0.15395, 'duration': 0.2975, 'confi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Like A Star</th>\n",
       "      <th>Corinne Bailey Rae</th>\n",
       "      <td>{'analyzer_version': '4.0.0', 'platform': 'Lin...</td>\n",
       "      <td>{'num_samples': 5362854, 'duration': 243.21333...</td>\n",
       "      <td>[{'start': 1.7007, 'duration': 1.98543, 'confi...</td>\n",
       "      <td>[{'start': 1.18286, 'duration': 0.51784, 'conf...</td>\n",
       "      <td>[{'start': 0.0, 'duration': 54.26514, 'confide...</td>\n",
       "      <td>[{'start': 0.0, 'duration': 1.14345, 'confiden...</td>\n",
       "      <td>[{'start': 1.18286, 'duration': 0.25892, 'conf...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Good Man</th>\n",
       "      <th>Josh Ritter</th>\n",
       "      <td>{'analyzer_version': '4.0.0', 'platform': 'Lin...</td>\n",
       "      <td>{'num_samples': 5490432, 'duration': 248.99918...</td>\n",
       "      <td>[{'start': 0.30697, 'duration': 2.31065, 'conf...</td>\n",
       "      <td>[{'start': 0.30697, 'duration': 0.58849, 'conf...</td>\n",
       "      <td>[{'start': 0.0, 'duration': 15.72292, 'confide...</td>\n",
       "      <td>[{'start': 0.0, 'duration': 0.2727, 'confidenc...</td>\n",
       "      <td>[{'start': 0.30697, 'duration': 0.29424, 'conf...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                meta  \\\n",
       "track_name                                     artist                                                                  \n",
       "The Dynamo of Volition                         Jason Mraz          {'analyzer_version': '4.0.0', 'platform': 'Lin...   \n",
       "the Love Bug                                   m-flo               {'analyzer_version': '4.0.0', 'platform': 'Lin...   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi        {'analyzer_version': '4.0.0', 'platform': 'Lin...   \n",
       "Like A Star                                    Corinne Bailey Rae  {'analyzer_version': '4.0.0', 'platform': 'Lin...   \n",
       "Good Man                                       Josh Ritter         {'analyzer_version': '4.0.0', 'platform': 'Lin...   \n",
       "\n",
       "                                                                                                               track  \\\n",
       "track_name                                     artist                                                                  \n",
       "The Dynamo of Volition                         Jason Mraz          {'num_samples': 4776324, 'duration': 216.61333...   \n",
       "the Love Bug                                   m-flo               {'num_samples': 5341098, 'duration': 242.22667...   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi        {'num_samples': 4504996, 'duration': 204.30821...   \n",
       "Like A Star                                    Corinne Bailey Rae  {'num_samples': 5362854, 'duration': 243.21333...   \n",
       "Good Man                                       Josh Ritter         {'num_samples': 5490432, 'duration': 248.99918...   \n",
       "\n",
       "                                                                                                                bars  \\\n",
       "track_name                                     artist                                                                  \n",
       "The Dynamo of Volition                         Jason Mraz          [{'start': 2.35438, 'duration': 2.08028, 'conf...   \n",
       "the Love Bug                                   m-flo               [{'start': 0.99924, 'duration': 2.04374, 'conf...   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi        [{'start': 0.15395, 'duration': 2.46271, 'conf...   \n",
       "Like A Star                                    Corinne Bailey Rae  [{'start': 1.7007, 'duration': 1.98543, 'confi...   \n",
       "Good Man                                       Josh Ritter         [{'start': 0.30697, 'duration': 2.31065, 'conf...   \n",
       "\n",
       "                                                                                                               beats  \\\n",
       "track_name                                     artist                                                                  \n",
       "The Dynamo of Volition                         Jason Mraz          [{'start': 0.75758, 'duration': 0.52501, 'conf...   \n",
       "the Love Bug                                   m-flo               [{'start': 0.99924, 'duration': 0.50224, 'conf...   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi        [{'start': 0.15395, 'duration': 0.595, 'confid...   \n",
       "Like A Star                                    Corinne Bailey Rae  [{'start': 1.18286, 'duration': 0.51784, 'conf...   \n",
       "Good Man                                       Josh Ritter         [{'start': 0.30697, 'duration': 0.58849, 'conf...   \n",
       "\n",
       "                                                                                                            sections  \\\n",
       "track_name                                     artist                                                                  \n",
       "The Dynamo of Volition                         Jason Mraz          [{'start': 0.0, 'duration': 27.84956, 'confide...   \n",
       "the Love Bug                                   m-flo               [{'start': 0.0, 'duration': 25.08979, 'confide...   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi        [{'start': 0.0, 'duration': 13.44361, 'confide...   \n",
       "Like A Star                                    Corinne Bailey Rae  [{'start': 0.0, 'duration': 54.26514, 'confide...   \n",
       "Good Man                                       Josh Ritter         [{'start': 0.0, 'duration': 15.72292, 'confide...   \n",
       "\n",
       "                                                                                                            segments  \\\n",
       "track_name                                     artist                                                                  \n",
       "The Dynamo of Volition                         Jason Mraz          [{'start': 0.0, 'duration': 0.19125, 'confiden...   \n",
       "the Love Bug                                   m-flo               [{'start': 0.0, 'duration': 0.418, 'confidence...   \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi        [{'start': 0.0, 'duration': 0.23093, 'confiden...   \n",
       "Like A Star                                    Corinne Bailey Rae  [{'start': 0.0, 'duration': 1.14345, 'confiden...   \n",
       "Good Man                                       Josh Ritter         [{'start': 0.0, 'duration': 0.2727, 'confidenc...   \n",
       "\n",
       "                                                                                                              tatums  \n",
       "track_name                                     artist                                                                 \n",
       "The Dynamo of Volition                         Jason Mraz          [{'start': 0.75758, 'duration': 0.2625, 'confi...  \n",
       "the Love Bug                                   m-flo               [{'start': 0.99924, 'duration': 0.25112, 'conf...  \n",
       "the snack that smiles back (feat. raychel jay) Shawn Wasabi        [{'start': 0.15395, 'duration': 0.2975, 'confi...  \n",
       "Like A Star                                    Corinne Bailey Rae  [{'start': 1.18286, 'duration': 0.25892, 'conf...  \n",
       "Good Man                                       Josh Ritter         [{'start': 0.30697, 'duration': 0.29424, 'conf...  "
      ]
     },
     "metadata": {},
     "execution_count": 30
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Song Recommendations"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "source": [
    "endpoint_url = \"https://api.spotify.com/v1/recommendations?\"\r\n",
    "limit = 20\r\n",
    "market = \"US\"\r\n",
    "seed_artists = random.choice(artists_uris)\r\n",
    "seed_genres = \"pop%2Crock2Cindie%2Cdance\"\r\n",
    "seed_tracks = random.choice(tracks_uris)\r\n",
    "target_danceability = round(mean['danceability'], 2)\r\n",
    "min_energy = round(mean['energy'], 2)\r\n",
    "\r\n",
    "# query = f'{endpoint_url}limit={limit}&market={market}&seed_genres={seed_genres}&target_danceability={target_danceability}'\r\n",
    "\r\n",
    "rurl = f'{endpoint_url}\\\r\n",
    "limit={limit}\\\r\n",
    "&market={market}\\\r\n",
    "&seed_artists={seed_artists}\\\r\n",
    "&seed_genres={seed_genres}\\\r\n",
    "&seed_tracks={seed_tracks}\\\r\n",
    "&target_danceability={target_danceability}\\\r\n",
    "&min_energy={min_energy}'\r\n",
    "\r\n",
    "response = requests.get(rurl, \r\n",
    "               headers={\"Content-Type\":\"application/json\", \r\n",
    "                        \"Authorization\":\"Bearer {token}\".format(token=access_token)})\r\n",
    "\r\n",
    "json_response = response.json()\r\n",
    "\r\n",
    "r_tracks = []\r\n",
    "r_tracks_uris = []\r\n",
    "r_artists = []\r\n",
    "r_artists_uris = []\r\n",
    "r_features = []\r\n",
    "r_analysis = []\r\n",
    "\r\n",
    "for i in json_response['tracks']:\r\n",
    "            r_tracks.append(i['name'])\r\n",
    "            r_tracks_uris.append(i['id'])\r\n",
    "            r_artists.append(i['artists'][0]['name'])\r\n",
    "            r_artists_uris.append(i['artists'][0]['id'])\r\n",
    "            print(f\"\\\"{i['name']}\\\" by {i['artists'][0]['name']}\")\r\n",
    "            \r\n",
    "            # r_features.append(get_features(i['id']))\r\n",
    "            # r_analysis.append(get_analysis(i['id']))\r\n",
    "            "
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "\"Electric Love\" by BØRNS\n",
      "\"I Got You\" by Bebe Rexha\n",
      "\"Dil Laga Liya Maine\" by Alka Yagnik\n",
      "\"Tears (feat. Louisa Johnson)\" by Clean Bandit\n",
      "\"679 (feat. Remy Boyz)\" by Fetty Wap\n",
      "\"Bedroom Floor\" by Liam Payne\n",
      "\"Earthquake - Radio Edit\" by Disco Fries\n",
      "\"Spectrum\" by Zedd\n",
      "\"Legs - 2008 Remaster\" by ZZ Top\n",
      "\"Don't You Worry Child - Radio Edit\" by Swedish House Mafia\n",
      "\"Sab Kuchh Bhula Diya\" by Sonu Nigam\n",
      "\"If Not For You - Remastered 2014\" by George Harrison\n",
      "\"Don't Let Go - Radio Edit\" by The Aston Shuffle\n",
      "\"Lights & Music\" by Cut Copy\n",
      "\"Dekho Dekho Jaanam\" by Udit Narayan\n",
      "\"Back To You - From 13 Reasons Why – Season 2 Soundtrack\" by Selena Gomez\n",
      "\"Voyager\" by Lookas\n",
      "\"Youngblood\" by 5 Seconds of Summer\n",
      "\"Tumbling Dice\" by The Rolling Stones\n",
      "\"Bole Chudiyan\" by Jatin-Lalit\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "source": [
    "print(r_tracks[:5])\r\n",
    "print(r_tracks_uris[:5])\r\n",
    "print(r_artists[:5])\r\n",
    "print(r_artists_uris[:5])"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "['Earthquake - Radio Edit', 'Hood Gone Love It (feat. Kendrick Lamar)', 'Sleepy Eyes', 'I Got You', 'Shutterbugg']\n",
      "['3yXmslBa2eTtFI2tSXphR1', '6i6cWTCYBOKEdJnWjzm2yk', '1Wvzo4EotLEh4W3OVcQoDO', '2jB9QaPJyVdz2Q0Va8rrnU', '6llAqB4o2GS2Sx0rKvDIK0']\n",
      "['Disco Fries', 'Jay Rock', 'Elohim', 'Bebe Rexha', 'Big Boi']\n",
      "['7G7KvDCLdVG0Ok511Iqc9U', '28ExwzUQsvgJooOI0X1mr3', '6wKxOKEA3K6R2UZ3COLXEY', '64M6ah0SkkRsnPGtGiRAbb', '2ht3wxeT69CzyKFChNnNAB']\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "source": [
    "r_tracks_df = pd.DataFrame({'track_name': r_tracks,'artist': r_artists})\r\n",
    "r_tracks_uris_df = pd.DataFrame(r_tracks_uris, columns={'track_id'})\r\n",
    "r_artists_uris_df = pd.DataFrame(r_artists_uris, columns={'artist_id'})\r\n",
    "\r\n",
    "r_df = pd.concat([r_tracks_df, r_tracks_uris_df, r_artists_uris_df], axis=1)\r\n",
    "r_df"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>track_name</th>\n",
       "      <th>artist</th>\n",
       "      <th>track_id</th>\n",
       "      <th>artist_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Earthquake - Radio Edit</td>\n",
       "      <td>Disco Fries</td>\n",
       "      <td>3yXmslBa2eTtFI2tSXphR1</td>\n",
       "      <td>7G7KvDCLdVG0Ok511Iqc9U</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Hood Gone Love It (feat. Kendrick Lamar)</td>\n",
       "      <td>Jay Rock</td>\n",
       "      <td>6i6cWTCYBOKEdJnWjzm2yk</td>\n",
       "      <td>28ExwzUQsvgJooOI0X1mr3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sleepy Eyes</td>\n",
       "      <td>Elohim</td>\n",
       "      <td>1Wvzo4EotLEh4W3OVcQoDO</td>\n",
       "      <td>6wKxOKEA3K6R2UZ3COLXEY</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I Got You</td>\n",
       "      <td>Bebe Rexha</td>\n",
       "      <td>2jB9QaPJyVdz2Q0Va8rrnU</td>\n",
       "      <td>64M6ah0SkkRsnPGtGiRAbb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shutterbugg</td>\n",
       "      <td>Big Boi</td>\n",
       "      <td>6llAqB4o2GS2Sx0rKvDIK0</td>\n",
       "      <td>2ht3wxeT69CzyKFChNnNAB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Heart Of The City (Ain't No Love)</td>\n",
       "      <td>JAY-Z</td>\n",
       "      <td>6gpZSI0xEMTzleBc5ykOVA</td>\n",
       "      <td>3nFkdlSjzX9mRTtwJOzDYB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Electric Love</td>\n",
       "      <td>BØRNS</td>\n",
       "      <td>2GiJYvgVaD2HtM8GqD9EgQ</td>\n",
       "      <td>1KP6TWI40m7p3QBTU6u2xo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Spectrum</td>\n",
       "      <td>Zedd</td>\n",
       "      <td>1dFkD1JfRMzwO6hwUsE8aS</td>\n",
       "      <td>2qxJFvFYMEDqd7ui6kSAcq</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Tears (feat. Louisa Johnson)</td>\n",
       "      <td>Clean Bandit</td>\n",
       "      <td>7py16W5fWYLFFS6BElKAjn</td>\n",
       "      <td>6MDME20pz9RveH9rEXvrOM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Can't Hide</td>\n",
       "      <td>Whethan</td>\n",
       "      <td>7CotyU8EcChJlqOFnxPPmI</td>\n",
       "      <td>0vqJkZ0RpLZixt3lTmD8vP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Lose My Mind (feat. Mr Gabriel)</td>\n",
       "      <td>Jai Wolf</td>\n",
       "      <td>0zEKfIm5b8EUcDM3qoPXKX</td>\n",
       "      <td>24V5UY0nChKpnb1TBPJhCw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Izzo (H.O.V.A.)</td>\n",
       "      <td>JAY-Z</td>\n",
       "      <td>4h5KBcltGefua73AUPYps7</td>\n",
       "      <td>3nFkdlSjzX9mRTtwJOzDYB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>I Want U</td>\n",
       "      <td>Alison Wonderland</td>\n",
       "      <td>6wb61u8ayuanWSHZzle5od</td>\n",
       "      <td>11gWrKZMBsGQWmobv3oNfW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>679 (feat. Remy Boyz)</td>\n",
       "      <td>Fetty Wap</td>\n",
       "      <td>5NQbUaeTEOGdD6hHcre0dZ</td>\n",
       "      <td>6PXS4YHDkKvl1wkIl4V8DL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Look Over Your Shoulder (feat. Kendrick Lamar)</td>\n",
       "      <td>Busta Rhymes</td>\n",
       "      <td>00R0fEFZGb5hyTgF1nrRCq</td>\n",
       "      <td>1YfEcTuGvBQ8xSD1f53UnK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Back To You - From 13 Reasons Why – Season 2 S...</td>\n",
       "      <td>Selena Gomez</td>\n",
       "      <td>4hQ6UGyWQIGJmHSo0J88JW</td>\n",
       "      <td>0C8ZW7ezQVs4URX5aX7Kqx</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Bedroom Floor</td>\n",
       "      <td>Liam Payne</td>\n",
       "      <td>1OG4nxGMy72EklX2DwcN3Z</td>\n",
       "      <td>5pUo3fmmHT8bhCyHE52hA6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Body Say</td>\n",
       "      <td>Demi Lovato</td>\n",
       "      <td>7xrA11O07xo57Bbg6p4hck</td>\n",
       "      <td>6S2OmqARrzebs0tKUEyXyp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Don't Let Go - Radio Edit</td>\n",
       "      <td>The Aston Shuffle</td>\n",
       "      <td>3x4oDCj59SBlpWKpdtiNBy</td>\n",
       "      <td>4Jv9I6DAbcjDa8HGFAjv94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Don't You Worry Child - Radio Edit</td>\n",
       "      <td>Swedish House Mafia</td>\n",
       "      <td>2V65y3PX4DkRhy1djlxd9p</td>\n",
       "      <td>1h6Cn3P4NGzXbaXidqURXs</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           track_name               artist  \\\n",
       "0                             Earthquake - Radio Edit          Disco Fries   \n",
       "1            Hood Gone Love It (feat. Kendrick Lamar)             Jay Rock   \n",
       "2                                         Sleepy Eyes               Elohim   \n",
       "3                                           I Got You           Bebe Rexha   \n",
       "4                                         Shutterbugg              Big Boi   \n",
       "5                   Heart Of The City (Ain't No Love)                JAY-Z   \n",
       "6                                       Electric Love                BØRNS   \n",
       "7                                            Spectrum                 Zedd   \n",
       "8                        Tears (feat. Louisa Johnson)         Clean Bandit   \n",
       "9                                          Can't Hide              Whethan   \n",
       "10                    Lose My Mind (feat. Mr Gabriel)             Jai Wolf   \n",
       "11                                    Izzo (H.O.V.A.)                JAY-Z   \n",
       "12                                           I Want U    Alison Wonderland   \n",
       "13                              679 (feat. Remy Boyz)            Fetty Wap   \n",
       "14     Look Over Your Shoulder (feat. Kendrick Lamar)         Busta Rhymes   \n",
       "15  Back To You - From 13 Reasons Why – Season 2 S...         Selena Gomez   \n",
       "16                                      Bedroom Floor           Liam Payne   \n",
       "17                                           Body Say          Demi Lovato   \n",
       "18                          Don't Let Go - Radio Edit    The Aston Shuffle   \n",
       "19                 Don't You Worry Child - Radio Edit  Swedish House Mafia   \n",
       "\n",
       "                  track_id               artist_id  \n",
       "0   3yXmslBa2eTtFI2tSXphR1  7G7KvDCLdVG0Ok511Iqc9U  \n",
       "1   6i6cWTCYBOKEdJnWjzm2yk  28ExwzUQsvgJooOI0X1mr3  \n",
       "2   1Wvzo4EotLEh4W3OVcQoDO  6wKxOKEA3K6R2UZ3COLXEY  \n",
       "3   2jB9QaPJyVdz2Q0Va8rrnU  64M6ah0SkkRsnPGtGiRAbb  \n",
       "4   6llAqB4o2GS2Sx0rKvDIK0  2ht3wxeT69CzyKFChNnNAB  \n",
       "5   6gpZSI0xEMTzleBc5ykOVA  3nFkdlSjzX9mRTtwJOzDYB  \n",
       "6   2GiJYvgVaD2HtM8GqD9EgQ  1KP6TWI40m7p3QBTU6u2xo  \n",
       "7   1dFkD1JfRMzwO6hwUsE8aS  2qxJFvFYMEDqd7ui6kSAcq  \n",
       "8   7py16W5fWYLFFS6BElKAjn  6MDME20pz9RveH9rEXvrOM  \n",
       "9   7CotyU8EcChJlqOFnxPPmI  0vqJkZ0RpLZixt3lTmD8vP  \n",
       "10  0zEKfIm5b8EUcDM3qoPXKX  24V5UY0nChKpnb1TBPJhCw  \n",
       "11  4h5KBcltGefua73AUPYps7  3nFkdlSjzX9mRTtwJOzDYB  \n",
       "12  6wb61u8ayuanWSHZzle5od  11gWrKZMBsGQWmobv3oNfW  \n",
       "13  5NQbUaeTEOGdD6hHcre0dZ  6PXS4YHDkKvl1wkIl4V8DL  \n",
       "14  00R0fEFZGb5hyTgF1nrRCq  1YfEcTuGvBQ8xSD1f53UnK  \n",
       "15  4hQ6UGyWQIGJmHSo0J88JW  0C8ZW7ezQVs4URX5aX7Kqx  \n",
       "16  1OG4nxGMy72EklX2DwcN3Z  5pUo3fmmHT8bhCyHE52hA6  \n",
       "17  7xrA11O07xo57Bbg6p4hck  6S2OmqARrzebs0tKUEyXyp  \n",
       "18  3x4oDCj59SBlpWKpdtiNBy  4Jv9I6DAbcjDa8HGFAjv94  \n",
       "19  2V65y3PX4DkRhy1djlxd9p  1h6Cn3P4NGzXbaXidqURXs  "
      ]
     },
     "metadata": {},
     "execution_count": 33
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "source": [
    "r_length = len(r_tracks_uris)\r\n",
    "r_features = []\r\n",
    "r_analysis = []\r\n",
    "\r\n",
    "for i in range(r_length):\r\n",
    "    # Get URIs of tracks in the playlist\r\n",
    "    id = r_tracks_uris[i]\r\n",
    "\r\n",
    "    # Append audio features to empty list\r\n",
    "    r_features.append(get_features(id))\r\n",
    "    \r\n",
    "    # Append audio analysis to empty list\r\n",
    "    r_analysis.append(get_analysis(id))"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "source": [
    "r_features_df = pd.DataFrame(r_features)\r\n",
    "r_features_df = pd.concat([r_tracks_df, r_features_df], axis=1).set_index(['track_name','artist'])\r\n",
    "r_features_df.head()"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>key</th>\n",
       "      <th>loudness</th>\n",
       "      <th>mode</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>liveness</th>\n",
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       "      <th>type</th>\n",
       "      <th>id</th>\n",
       "      <th>uri</th>\n",
       "      <th>track_href</th>\n",
       "      <th>analysis_url</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>time_signature</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>track_name</th>\n",
       "      <th>artist</th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Earthquake - Radio Edit</th>\n",
       "      <th>Disco Fries</th>\n",
       "      <td>0.610</td>\n",
       "      <td>0.806</td>\n",
       "      <td>9</td>\n",
       "      <td>-2.990</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0574</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.4200</td>\n",
       "      <td>0.522</td>\n",
       "      <td>125.999</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>3yXmslBa2eTtFI2tSXphR1</td>\n",
       "      <td>spotify:track:3yXmslBa2eTtFI2tSXphR1</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/3yXmslBa2eTt...</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/3yXm...</td>\n",
       "      <td>225714</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hood Gone Love It (feat. Kendrick Lamar)</th>\n",
       "      <th>Jay Rock</th>\n",
       "      <td>0.610</td>\n",
       "      <td>0.856</td>\n",
       "      <td>11</td>\n",
       "      <td>-3.974</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3250</td>\n",
       "      <td>0.0879</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.2890</td>\n",
       "      <td>0.670</td>\n",
       "      <td>91.770</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>6i6cWTCYBOKEdJnWjzm2yk</td>\n",
       "      <td>spotify:track:6i6cWTCYBOKEdJnWjzm2yk</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/6i6cWTCYBOKE...</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/6i6c...</td>\n",
       "      <td>245467</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sleepy Eyes</th>\n",
       "      <th>Elohim</th>\n",
       "      <td>0.608</td>\n",
       "      <td>0.736</td>\n",
       "      <td>6</td>\n",
       "      <td>-6.700</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1650</td>\n",
       "      <td>0.0510</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.2150</td>\n",
       "      <td>0.489</td>\n",
       "      <td>97.038</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>1Wvzo4EotLEh4W3OVcQoDO</td>\n",
       "      <td>spotify:track:1Wvzo4EotLEh4W3OVcQoDO</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/1Wvzo4EotLEh...</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/1Wvz...</td>\n",
       "      <td>202887</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I Got You</th>\n",
       "      <th>Bebe Rexha</th>\n",
       "      <td>0.606</td>\n",
       "      <td>0.887</td>\n",
       "      <td>9</td>\n",
       "      <td>-4.782</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0520</td>\n",
       "      <td>0.0498</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>0.0958</td>\n",
       "      <td>0.349</td>\n",
       "      <td>97.972</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>2jB9QaPJyVdz2Q0Va8rrnU</td>\n",
       "      <td>spotify:track:2jB9QaPJyVdz2Q0Va8rrnU</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/2jB9QaPJyVdz...</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/2jB9...</td>\n",
       "      <td>191787</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shutterbugg</th>\n",
       "      <th>Big Boi</th>\n",
       "      <td>0.611</td>\n",
       "      <td>0.902</td>\n",
       "      <td>2</td>\n",
       "      <td>-5.213</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3530</td>\n",
       "      <td>0.2930</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1250</td>\n",
       "      <td>0.519</td>\n",
       "      <td>98.252</td>\n",
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       "      <td>6llAqB4o2GS2Sx0rKvDIK0</td>\n",
       "      <td>spotify:track:6llAqB4o2GS2Sx0rKvDIK0</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/6llAqB4o2GS2...</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/6llA...</td>\n",
       "      <td>215240</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                      danceability  energy  \\\n",
       "track_name                               artist                              \n",
       "Earthquake - Radio Edit                  Disco Fries         0.610   0.806   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock            0.610   0.856   \n",
       "Sleepy Eyes                              Elohim              0.608   0.736   \n",
       "I Got You                                Bebe Rexha          0.606   0.887   \n",
       "Shutterbugg                              Big Boi             0.611   0.902   \n",
       "\n",
       "                                                      key  loudness  mode  \\\n",
       "track_name                               artist                             \n",
       "Earthquake - Radio Edit                  Disco Fries    9    -2.990     0   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock      11    -3.974     1   \n",
       "Sleepy Eyes                              Elohim         6    -6.700     1   \n",
       "I Got You                                Bebe Rexha     9    -4.782     0   \n",
       "Shutterbugg                              Big Boi        2    -5.213     1   \n",
       "\n",
       "                                                      speechiness  \\\n",
       "track_name                               artist                     \n",
       "Earthquake - Radio Edit                  Disco Fries       0.0574   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock          0.3250   \n",
       "Sleepy Eyes                              Elohim            0.1650   \n",
       "I Got You                                Bebe Rexha        0.0520   \n",
       "Shutterbugg                              Big Boi           0.3530   \n",
       "\n",
       "                                                      acousticness  \\\n",
       "track_name                               artist                      \n",
       "Earthquake - Radio Edit                  Disco Fries        0.0775   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock           0.0879   \n",
       "Sleepy Eyes                              Elohim             0.0510   \n",
       "I Got You                                Bebe Rexha         0.0498   \n",
       "Shutterbugg                              Big Boi            0.2930   \n",
       "\n",
       "                                                      instrumentalness  \\\n",
       "track_name                               artist                          \n",
       "Earthquake - Radio Edit                  Disco Fries          0.000000   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock             0.000000   \n",
       "Sleepy Eyes                              Elohim               0.000000   \n",
       "I Got You                                Bebe Rexha           0.000003   \n",
       "Shutterbugg                              Big Boi              0.000000   \n",
       "\n",
       "                                                      liveness  valence  \\\n",
       "track_name                               artist                           \n",
       "Earthquake - Radio Edit                  Disco Fries    0.4200    0.522   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock       0.2890    0.670   \n",
       "Sleepy Eyes                              Elohim         0.2150    0.489   \n",
       "I Got You                                Bebe Rexha     0.0958    0.349   \n",
       "Shutterbugg                              Big Boi        0.1250    0.519   \n",
       "\n",
       "                                                        tempo            type  \\\n",
       "track_name                               artist                                 \n",
       "Earthquake - Radio Edit                  Disco Fries  125.999  audio_features   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock      91.770  audio_features   \n",
       "Sleepy Eyes                              Elohim        97.038  audio_features   \n",
       "I Got You                                Bebe Rexha    97.972  audio_features   \n",
       "Shutterbugg                              Big Boi       98.252  audio_features   \n",
       "\n",
       "                                                                          id  \\\n",
       "track_name                               artist                                \n",
       "Earthquake - Radio Edit                  Disco Fries  3yXmslBa2eTtFI2tSXphR1   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock     6i6cWTCYBOKEdJnWjzm2yk   \n",
       "Sleepy Eyes                              Elohim       1Wvzo4EotLEh4W3OVcQoDO   \n",
       "I Got You                                Bebe Rexha   2jB9QaPJyVdz2Q0Va8rrnU   \n",
       "Shutterbugg                              Big Boi      6llAqB4o2GS2Sx0rKvDIK0   \n",
       "\n",
       "                                                                                       uri  \\\n",
       "track_name                               artist                                              \n",
       "Earthquake - Radio Edit                  Disco Fries  spotify:track:3yXmslBa2eTtFI2tSXphR1   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock     spotify:track:6i6cWTCYBOKEdJnWjzm2yk   \n",
       "Sleepy Eyes                              Elohim       spotify:track:1Wvzo4EotLEh4W3OVcQoDO   \n",
       "I Got You                                Bebe Rexha   spotify:track:2jB9QaPJyVdz2Q0Va8rrnU   \n",
       "Shutterbugg                              Big Boi      spotify:track:6llAqB4o2GS2Sx0rKvDIK0   \n",
       "\n",
       "                                                                                             track_href  \\\n",
       "track_name                               artist                                                           \n",
       "Earthquake - Radio Edit                  Disco Fries  https://api.spotify.com/v1/tracks/3yXmslBa2eTt...   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock     https://api.spotify.com/v1/tracks/6i6cWTCYBOKE...   \n",
       "Sleepy Eyes                              Elohim       https://api.spotify.com/v1/tracks/1Wvzo4EotLEh...   \n",
       "I Got You                                Bebe Rexha   https://api.spotify.com/v1/tracks/2jB9QaPJyVdz...   \n",
       "Shutterbugg                              Big Boi      https://api.spotify.com/v1/tracks/6llAqB4o2GS2...   \n",
       "\n",
       "                                                                                           analysis_url  \\\n",
       "track_name                               artist                                                           \n",
       "Earthquake - Radio Edit                  Disco Fries  https://api.spotify.com/v1/audio-analysis/3yXm...   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock     https://api.spotify.com/v1/audio-analysis/6i6c...   \n",
       "Sleepy Eyes                              Elohim       https://api.spotify.com/v1/audio-analysis/1Wvz...   \n",
       "I Got You                                Bebe Rexha   https://api.spotify.com/v1/audio-analysis/2jB9...   \n",
       "Shutterbugg                              Big Boi      https://api.spotify.com/v1/audio-analysis/6llA...   \n",
       "\n",
       "                                                      duration_ms  \\\n",
       "track_name                               artist                     \n",
       "Earthquake - Radio Edit                  Disco Fries       225714   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock          245467   \n",
       "Sleepy Eyes                              Elohim            202887   \n",
       "I Got You                                Bebe Rexha        191787   \n",
       "Shutterbugg                              Big Boi           215240   \n",
       "\n",
       "                                                      time_signature  \n",
       "track_name                               artist                       \n",
       "Earthquake - Radio Edit                  Disco Fries               4  \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock                  4  \n",
       "Sleepy Eyes                              Elohim                    4  \n",
       "I Got You                                Bebe Rexha                4  \n",
       "Shutterbugg                              Big Boi                   4  "
      ]
     },
     "metadata": {},
     "execution_count": 35
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "source": [
    "r_analysis_df = pd.DataFrame(r_analysis)\r\n",
    "r_analysis_df = pd.concat([r_tracks_df, r_analysis_df], axis=1).set_index(['track_name','artist'])\r\n",
    "r_analysis_df.head()"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
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       "      <td>{'num_samples': 4977002, 'duration': 225.71439...</td>\n",
       "      <td>[{'start': 0.45804, 'duration': 1.94858, 'conf...</td>\n",
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       "      <td>[{'start': 0.52257, 'duration': 0.68432, 'conf...</td>\n",
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       "      <td>[{'start': 1.42321, 'duration': 2.46173, 'conf...</td>\n",
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       "      <td>{'num_samples': 4228896, 'duration': 191.78667...</td>\n",
       "      <td>[{'start': 0.29126, 'duration': 2.46063, 'conf...</td>\n",
       "      <td>[{'start': 0.29126, 'duration': 0.62244, 'conf...</td>\n",
       "      <td>[{'start': 0.0, 'duration': 11.31419, 'confide...</td>\n",
       "      <td>[{'start': 0.0, 'duration': 0.24925, 'confiden...</td>\n",
       "      <td>[{'start': 0.29126, 'duration': 0.31122, 'conf...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shutterbugg</th>\n",
       "      <th>Big Boi</th>\n",
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       "      <td>{'num_samples': 4746042, 'duration': 215.24, '...</td>\n",
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      "text/plain": [
       "                                                                                                   meta  \\\n",
       "track_name                               artist                                                           \n",
       "Earthquake - Radio Edit                  Disco Fries  {'analyzer_version': '4.0.0', 'platform': 'Lin...   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock     {'analyzer_version': '4.0.0', 'platform': 'Lin...   \n",
       "Sleepy Eyes                              Elohim       {'analyzer_version': '4.0.0', 'platform': 'Lin...   \n",
       "I Got You                                Bebe Rexha   {'analyzer_version': '4.0.0', 'platform': 'Lin...   \n",
       "Shutterbugg                              Big Boi      {'analyzer_version': '4.0.0', 'platform': 'Lin...   \n",
       "\n",
       "                                                                                                  track  \\\n",
       "track_name                               artist                                                           \n",
       "Earthquake - Radio Edit                  Disco Fries  {'num_samples': 4977002, 'duration': 225.71439...   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock     {'num_samples': 5412540, 'duration': 245.46667...   \n",
       "Sleepy Eyes                              Elohim       {'num_samples': 4473649, 'duration': 202.88658...   \n",
       "I Got You                                Bebe Rexha   {'num_samples': 4228896, 'duration': 191.78667...   \n",
       "Shutterbugg                              Big Boi      {'num_samples': 4746042, 'duration': 215.24, '...   \n",
       "\n",
       "                                                                                                   bars  \\\n",
       "track_name                               artist                                                           \n",
       "Earthquake - Radio Edit                  Disco Fries  [{'start': 0.45804, 'duration': 1.94858, 'conf...   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock     [{'start': 2.48025, 'duration': 2.46772, 'conf...   \n",
       "Sleepy Eyes                              Elohim       [{'start': 1.42321, 'duration': 2.46173, 'conf...   \n",
       "I Got You                                Bebe Rexha   [{'start': 0.29126, 'duration': 2.46063, 'conf...   \n",
       "Shutterbugg                              Big Boi      [{'start': 0.45102, 'duration': 2.46998, 'conf...   \n",
       "\n",
       "                                                                                                  beats  \\\n",
       "track_name                               artist                                                           \n",
       "Earthquake - Radio Edit                  Disco Fries  [{'start': 0.45804, 'duration': 0.50642, 'conf...   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock     [{'start': 0.52257, 'duration': 0.68432, 'conf...   \n",
       "Sleepy Eyes                              Elohim       [{'start': 0.19261, 'duration': 0.6135, 'confi...   \n",
       "I Got You                                Bebe Rexha   [{'start': 0.29126, 'duration': 0.62244, 'conf...   \n",
       "Shutterbugg                              Big Boi      [{'start': 0.45102, 'duration': 0.64046, 'conf...   \n",
       "\n",
       "                                                                                               sections  \\\n",
       "track_name                               artist                                                           \n",
       "Earthquake - Radio Edit                  Disco Fries  [{'start': 0.0, 'duration': 8.61987, 'confiden...   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock     [{'start': 0.0, 'duration': 15.74367, 'confide...   \n",
       "Sleepy Eyes                              Elohim       [{'start': 0.0, 'duration': 10.2092, 'confiden...   \n",
       "I Got You                                Bebe Rexha   [{'start': 0.0, 'duration': 11.31419, 'confide...   \n",
       "Shutterbugg                              Big Boi      [{'start': 0.0, 'duration': 18.78128, 'confide...   \n",
       "\n",
       "                                                                                               segments  \\\n",
       "track_name                               artist                                                           \n",
       "Earthquake - Radio Edit                  Disco Fries  [{'start': 0.0, 'duration': 0.13288, 'confiden...   \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock     [{'start': 0.0, 'duration': 0.11569, 'confiden...   \n",
       "Sleepy Eyes                              Elohim       [{'start': 0.0, 'duration': 0.46952, 'confiden...   \n",
       "I Got You                                Bebe Rexha   [{'start': 0.0, 'duration': 0.24925, 'confiden...   \n",
       "Shutterbugg                              Big Boi      [{'start': 0.0, 'duration': 0.62658, 'confiden...   \n",
       "\n",
       "                                                                                                 tatums  \n",
       "track_name                               artist                                                          \n",
       "Earthquake - Radio Edit                  Disco Fries  [{'start': 0.45804, 'duration': 0.25321, 'conf...  \n",
       "Hood Gone Love It (feat. Kendrick Lamar) Jay Rock     [{'start': 0.52257, 'duration': 0.34216, 'conf...  \n",
       "Sleepy Eyes                              Elohim       [{'start': 0.19261, 'duration': 0.30675, 'conf...  \n",
       "I Got You                                Bebe Rexha   [{'start': 0.29126, 'duration': 0.31122, 'conf...  \n",
       "Shutterbugg                              Big Boi      [{'start': 0.45102, 'duration': 0.42698, 'conf...  "
      ]
     },
     "metadata": {},
     "execution_count": 36
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Visualization"
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Scatter Plot"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "source": [
    "fig = plt.figure(figsize=(10,10))\r\n",
    "ax = sns.scatterplot(data=features_df,\r\n",
    "                     x='danceability',\r\n",
    "                     y='valence',\r\n",
    "                     hue='track_name',\r\n",
    "                     palette='rainbow',\r\n",
    "                     size='duration_ms',\r\n",
    "                     sizes=(50,1000),\r\n",
    "                     alpha=0.7)\r\n",
    "\r\n",
    "h,labs = ax.get_legend_handles_labels()\r\n",
    "ax.legend(h[1:length], labs[1:length], bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0, title='Danceability v Valence')"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x247b6ed3a08>"
      ]
     },
     "metadata": {},
     "execution_count": 37
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "source": [
    "r_fig = plt.figure(figsize=(10,10))\r\n",
    "r_ax = sns.scatterplot(data=r_features_df,\r\n",
    "                     x='danceability',\r\n",
    "                     y='valence',\r\n",
    "                     hue='track_name',\r\n",
    "                     palette='rainbow',\r\n",
    "                     size='duration_ms',\r\n",
    "                     sizes=(50,1000),\r\n",
    "                     alpha=0.7)\r\n",
    "\r\n",
    "h,labs = r_ax.get_legend_handles_labels()\r\n",
    "r_ax.legend(h[1:r_length], labs[1:r_length], bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0, title='Danceability v Valence')"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x247b70cd408>"
      ]
     },
     "metadata": {},
     "execution_count": 38
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "source": [
    "concat_df = pd.concat([features_df.assign(dataset='Spotlight'), r_features_df.assign(dataset='Recommendations')])\r\n",
    "concat_df.tail()"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "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></th>\n",
       "      <th>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>key</th>\n",
       "      <th>loudness</th>\n",
       "      <th>mode</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>liveness</th>\n",
       "      <th>valence</th>\n",
       "      <th>tempo</th>\n",
       "      <th>type</th>\n",
       "      <th>id</th>\n",
       "      <th>uri</th>\n",
       "      <th>track_href</th>\n",
       "      <th>analysis_url</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>time_signature</th>\n",
       "      <th>dataset</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>track_name</th>\n",
       "      <th>artist</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Back To You - From 13 Reasons Why – Season 2 Soundtrack</th>\n",
       "      <th>Selena Gomez</th>\n",
       "      <td>0.601</td>\n",
       "      <td>0.724</td>\n",
       "      <td>6</td>\n",
       "      <td>-4.856</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0486</td>\n",
       "      <td>0.094500</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.120</td>\n",
       "      <td>0.508</td>\n",
       "      <td>102.061</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>4hQ6UGyWQIGJmHSo0J88JW</td>\n",
       "      <td>spotify:track:4hQ6UGyWQIGJmHSo0J88JW</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/4hQ6UGyWQIGJ...</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/4hQ6...</td>\n",
       "      <td>207905</td>\n",
       "      <td>4</td>\n",
       "      <td>Recommendations</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bedroom Floor</th>\n",
       "      <th>Liam Payne</th>\n",
       "      <td>0.597</td>\n",
       "      <td>0.680</td>\n",
       "      <td>1</td>\n",
       "      <td>-7.104</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0769</td>\n",
       "      <td>0.322000</td>\n",
       "      <td>0.000143</td>\n",
       "      <td>0.111</td>\n",
       "      <td>0.195</td>\n",
       "      <td>119.946</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>1OG4nxGMy72EklX2DwcN3Z</td>\n",
       "      <td>spotify:track:1OG4nxGMy72EklX2DwcN3Z</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/1OG4nxGMy72E...</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/1OG4...</td>\n",
       "      <td>188346</td>\n",
       "      <td>4</td>\n",
       "      <td>Recommendations</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Body Say</th>\n",
       "      <th>Demi Lovato</th>\n",
       "      <td>0.628</td>\n",
       "      <td>0.740</td>\n",
       "      <td>5</td>\n",
       "      <td>-4.836</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0358</td>\n",
       "      <td>0.004150</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.277</td>\n",
       "      <td>0.257</td>\n",
       "      <td>86.983</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>7xrA11O07xo57Bbg6p4hck</td>\n",
       "      <td>spotify:track:7xrA11O07xo57Bbg6p4hck</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/7xrA11O07xo5...</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/7xrA...</td>\n",
       "      <td>193893</td>\n",
       "      <td>4</td>\n",
       "      <td>Recommendations</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Don't Let Go - Radio Edit</th>\n",
       "      <th>The Aston Shuffle</th>\n",
       "      <td>0.609</td>\n",
       "      <td>0.854</td>\n",
       "      <td>9</td>\n",
       "      <td>-5.445</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0344</td>\n",
       "      <td>0.000883</td>\n",
       "      <td>0.630000</td>\n",
       "      <td>0.123</td>\n",
       "      <td>0.213</td>\n",
       "      <td>118.000</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>3x4oDCj59SBlpWKpdtiNBy</td>\n",
       "      <td>spotify:track:3x4oDCj59SBlpWKpdtiNBy</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/3x4oDCj59SBl...</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/3x4o...</td>\n",
       "      <td>219707</td>\n",
       "      <td>4</td>\n",
       "      <td>Recommendations</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Don't You Worry Child - Radio Edit</th>\n",
       "      <th>Swedish House Mafia</th>\n",
       "      <td>0.612</td>\n",
       "      <td>0.840</td>\n",
       "      <td>11</td>\n",
       "      <td>-3.145</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0509</td>\n",
       "      <td>0.112000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.116</td>\n",
       "      <td>0.438</td>\n",
       "      <td>129.042</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>2V65y3PX4DkRhy1djlxd9p</td>\n",
       "      <td>spotify:track:2V65y3PX4DkRhy1djlxd9p</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/2V65y3PX4DkR...</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/2V65...</td>\n",
       "      <td>212862</td>\n",
       "      <td>4</td>\n",
       "      <td>Recommendations</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                        danceability  \\\n",
       "track_name                                         artist                              \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez                0.601   \n",
       "Bedroom Floor                                      Liam Payne                  0.597   \n",
       "Body Say                                           Demi Lovato                 0.628   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle           0.609   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia         0.612   \n",
       "\n",
       "                                                                        energy  \\\n",
       "track_name                                         artist                        \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez          0.724   \n",
       "Bedroom Floor                                      Liam Payne            0.680   \n",
       "Body Say                                           Demi Lovato           0.740   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle     0.854   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia   0.840   \n",
       "\n",
       "                                                                        key  \\\n",
       "track_name                                         artist                     \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez           6   \n",
       "Bedroom Floor                                      Liam Payne             1   \n",
       "Body Say                                           Demi Lovato            5   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle      9   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia   11   \n",
       "\n",
       "                                                                        loudness  \\\n",
       "track_name                                         artist                          \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez           -4.856   \n",
       "Bedroom Floor                                      Liam Payne             -7.104   \n",
       "Body Say                                           Demi Lovato            -4.836   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle      -5.445   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia    -3.145   \n",
       "\n",
       "                                                                        mode  \\\n",
       "track_name                                         artist                      \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez            1   \n",
       "Bedroom Floor                                      Liam Payne              1   \n",
       "Body Say                                           Demi Lovato             0   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle       0   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia     0   \n",
       "\n",
       "                                                                        speechiness  \\\n",
       "track_name                                         artist                             \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez              0.0486   \n",
       "Bedroom Floor                                      Liam Payne                0.0769   \n",
       "Body Say                                           Demi Lovato               0.0358   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle         0.0344   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia       0.0509   \n",
       "\n",
       "                                                                        acousticness  \\\n",
       "track_name                                         artist                              \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez             0.094500   \n",
       "Bedroom Floor                                      Liam Payne               0.322000   \n",
       "Body Say                                           Demi Lovato              0.004150   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle        0.000883   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia      0.112000   \n",
       "\n",
       "                                                                        instrumentalness  \\\n",
       "track_name                                         artist                                  \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez                 0.000002   \n",
       "Bedroom Floor                                      Liam Payne                   0.000143   \n",
       "Body Say                                           Demi Lovato                  0.000000   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle            0.630000   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia          0.000000   \n",
       "\n",
       "                                                                        liveness  \\\n",
       "track_name                                         artist                          \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez            0.120   \n",
       "Bedroom Floor                                      Liam Payne              0.111   \n",
       "Body Say                                           Demi Lovato             0.277   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle       0.123   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia     0.116   \n",
       "\n",
       "                                                                        valence  \\\n",
       "track_name                                         artist                         \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez           0.508   \n",
       "Bedroom Floor                                      Liam Payne             0.195   \n",
       "Body Say                                           Demi Lovato            0.257   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle      0.213   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia    0.438   \n",
       "\n",
       "                                                                          tempo  \\\n",
       "track_name                                         artist                         \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez         102.061   \n",
       "Bedroom Floor                                      Liam Payne           119.946   \n",
       "Body Say                                           Demi Lovato           86.983   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle    118.000   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia  129.042   \n",
       "\n",
       "                                                                                  type  \\\n",
       "track_name                                         artist                                \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez         audio_features   \n",
       "Bedroom Floor                                      Liam Payne           audio_features   \n",
       "Body Say                                           Demi Lovato          audio_features   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle    audio_features   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia  audio_features   \n",
       "\n",
       "                                                                                            id  \\\n",
       "track_name                                         artist                                        \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez         4hQ6UGyWQIGJmHSo0J88JW   \n",
       "Bedroom Floor                                      Liam Payne           1OG4nxGMy72EklX2DwcN3Z   \n",
       "Body Say                                           Demi Lovato          7xrA11O07xo57Bbg6p4hck   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle    3x4oDCj59SBlpWKpdtiNBy   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia  2V65y3PX4DkRhy1djlxd9p   \n",
       "\n",
       "                                                                                                         uri  \\\n",
       "track_name                                         artist                                                      \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez         spotify:track:4hQ6UGyWQIGJmHSo0J88JW   \n",
       "Bedroom Floor                                      Liam Payne           spotify:track:1OG4nxGMy72EklX2DwcN3Z   \n",
       "Body Say                                           Demi Lovato          spotify:track:7xrA11O07xo57Bbg6p4hck   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle    spotify:track:3x4oDCj59SBlpWKpdtiNBy   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia  spotify:track:2V65y3PX4DkRhy1djlxd9p   \n",
       "\n",
       "                                                                                                               track_href  \\\n",
       "track_name                                         artist                                                                   \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez         https://api.spotify.com/v1/tracks/4hQ6UGyWQIGJ...   \n",
       "Bedroom Floor                                      Liam Payne           https://api.spotify.com/v1/tracks/1OG4nxGMy72E...   \n",
       "Body Say                                           Demi Lovato          https://api.spotify.com/v1/tracks/7xrA11O07xo5...   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle    https://api.spotify.com/v1/tracks/3x4oDCj59SBl...   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia  https://api.spotify.com/v1/tracks/2V65y3PX4DkR...   \n",
       "\n",
       "                                                                                                             analysis_url  \\\n",
       "track_name                                         artist                                                                   \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez         https://api.spotify.com/v1/audio-analysis/4hQ6...   \n",
       "Bedroom Floor                                      Liam Payne           https://api.spotify.com/v1/audio-analysis/1OG4...   \n",
       "Body Say                                           Demi Lovato          https://api.spotify.com/v1/audio-analysis/7xrA...   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle    https://api.spotify.com/v1/audio-analysis/3x4o...   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia  https://api.spotify.com/v1/audio-analysis/2V65...   \n",
       "\n",
       "                                                                        duration_ms  \\\n",
       "track_name                                         artist                             \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez              207905   \n",
       "Bedroom Floor                                      Liam Payne                188346   \n",
       "Body Say                                           Demi Lovato               193893   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle         219707   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia       212862   \n",
       "\n",
       "                                                                        time_signature  \\\n",
       "track_name                                         artist                                \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez                      4   \n",
       "Bedroom Floor                                      Liam Payne                        4   \n",
       "Body Say                                           Demi Lovato                       4   \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle                 4   \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia               4   \n",
       "\n",
       "                                                                                dataset  \n",
       "track_name                                         artist                                \n",
       "Back To You - From 13 Reasons Why – Season 2 So... Selena Gomez         Recommendations  \n",
       "Bedroom Floor                                      Liam Payne           Recommendations  \n",
       "Body Say                                           Demi Lovato          Recommendations  \n",
       "Don't Let Go - Radio Edit                          The Aston Shuffle    Recommendations  \n",
       "Don't You Worry Child - Radio Edit                 Swedish House Mafia  Recommendations  "
      ]
     },
     "metadata": {},
     "execution_count": 39
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "source": [
    "c_fig = plt.figure(figsize=(10,10))\r\n",
    "c_ax = sns.scatterplot(data=concat_df,\r\n",
    "                     x='danceability',\r\n",
    "                     y='valence',\r\n",
    "                     hue='track_name',\r\n",
    "                     palette='rainbow',\r\n",
    "                     size='duration_ms',\r\n",
    "                     sizes=(50,1000),\r\n",
    "                     alpha=0.7)\r\n",
    "\r\n",
    "c_length = len(concat_df)\r\n",
    "h,labs = c_ax.get_legend_handles_labels()\r\n",
    "c_ax.legend(h[1:c_length], labs[1:c_length], bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0, title='Danceability v Valence')"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x247b7252d88>"
      ]
     },
     "metadata": {},
     "execution_count": 40
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  }
 ],
 "metadata": {
  "orig_nbformat": 4,
  "language_info": {
   "name": "python",
   "version": "3.7.10",
   "mimetype": "text/x-python",
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "pygments_lexer": "ipython3",
   "nbconvert_exporter": "python",
   "file_extension": ".py"
  },
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3.7.10 64-bit ('mlenv': conda)"
  },
  "interpreter": {
   "hash": "074425668ba7e64b895443907fbde91d93a4ac7396f31b407130ee098a40b33d"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}