05-production.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from __future__ import division\n",
    "\n",
    "import sys\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import datetime\n",
    "import time\n",
    "\n",
    "# music api imports\n",
    "import spotipy\n",
    "import spotipy.util as util\n",
    "import billboard\n",
    "import pygn\n",
    "import pylast\n",
    "\n",
    "import requests\n",
    "import re\n",
    "from bs4 import BeautifulSoup\n",
    "from time import sleep\n",
    "import pickle\n",
    "import cPickle as pk\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "sns.set(rc={'axes.facecolor':'black', 'figure.facecolor':'black', 'axes.grid' : False, 'text.color': 'white', \n",
    "         'xtick.color': 'white', 'ytick.color': 'white', 'axes.labelcolor': 'white', 'axes.edgecolor': 'white'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn import cross_validation, datasets, linear_model, grid_search, metrics, ensemble, tree\n",
    "from sklearn import pipeline, manifold, preprocessing, feature_selection, decomposition\n",
    "from sklearn.preprocessing import PolynomialFeatures, StandardScaler, MinMaxScaler, MultiLabelBinarizer\n",
    "from sklearn.learning_curve import learning_curve\n",
    "from sklearn.cross_validation import cross_val_score\n",
    "\n",
    "# Classifiers\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "from sklearn.ensemble import ExtraTreesClassifier\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "import xgboost as xgb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mood Mapping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mood_map = {'Peaceful': (-2,2), 'Easygoing': (-1,2), 'Tender': (-2,1), 'Romantic': (-1,1), \n",
    "        'Upbeat': (0,2), 'Empowering': (0,1),\n",
    "        'Lively': (1,2), 'Excited': (2,2), 'Stirring': (1,1), 'Rowdy': (2,1),\n",
    "        'Sentimental': (-2,0), 'Sophisticated': (-1,0),\n",
    "        'Sensual': (0,0), \n",
    "        'Fiery': (1,0), 'Energizing': (2,0),\n",
    "        'Melancholy': (-2,-1), 'Cool': (-1,-1), 'Somber': (-2,-2), 'Gritty': (-1,-2),\n",
    "        'Yearning': (0,-1), 'Serious': (0,-2),\n",
    "        'Urgent': (1,-1), 'Defiant': (2,-1), 'Brooding': (1,-2), 'Aggressive': (2,-2)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "reverse_mood_map = {v: k for k, v in mood_map.items()}\n",
    "\n",
    "def get_reverse_mood_map(x): \n",
    "    return reverse_mood_map[x]\n",
    "    \n",
    "def get_mood_map(x):\n",
    "    return mood_map[x]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load Pickle Points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with open('data/models.pkl', 'rb') as f:\n",
    "    models = pk.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'GBC': GradientBoostingClassifier(init=None, learning_rate=0.1, loss='deviance',\n",
       "               max_depth=3, max_features=None, max_leaf_nodes=None,\n",
       "               min_samples_leaf=1, min_samples_split=2,\n",
       "               min_weight_fraction_leaf=0.0, n_estimators=100,\n",
       "               presort='auto', random_state=None, subsample=1.0, verbose=0,\n",
       "               warm_start=False),\n",
       " 'RFC': RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n",
       "             max_depth=None, max_features='auto', max_leaf_nodes=None,\n",
       "             min_samples_leaf=1, min_samples_split=2,\n",
       "             min_weight_fraction_leaf=0.0, n_estimators=300, n_jobs=1,\n",
       "             oob_score=False, random_state=None, verbose=0,\n",
       "             warm_start=False),\n",
       " 'XGB': XGBClassifier(base_score=0.5, colsample_bylevel=1, colsample_bytree=1,\n",
       "        gamma=0, learning_rate=0.05, max_delta_step=0, max_depth=3,\n",
       "        min_child_weight=1, missing=nan, n_estimators=300, nthread=-1,\n",
       "        objective='multi:softprob', reg_alpha=0, reg_lambda=1,\n",
       "        scale_pos_weight=1, seed=0, silent=True, subsample=1)}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "models"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Production Process\n",
    "\n",
    "1. Get song features\n",
    "  * for each song in a spotify playlist\n",
    "  * get audio attributes\n",
    "  * scale audio attributes\n",
    "2. Predict song features\n",
    "  * for song in spotify playlist\n",
    "  * predict mood\n",
    "3. Tally up moods\n",
    "  * value counts \n",
    "4. Use count of moods to visualize in D3/Flask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "master_songs_scaled = pd.read_pickle('data/master_songs_scaled.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "master_songs_target = pd.read_pickle('data/master_songs_target.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>popularity</th>\n",
       "      <th>energy</th>\n",
       "      <th>liveness</th>\n",
       "      <th>tempo</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>danceability</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>loudness</th>\n",
       "      <th>valence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.542671</td>\n",
       "      <td>1.027451</td>\n",
       "      <td>-0.089725</td>\n",
       "      <td>0.634236</td>\n",
       "      <td>-0.479225</td>\n",
       "      <td>-0.918312</td>\n",
       "      <td>-0.034706</td>\n",
       "      <td>-0.338594</td>\n",
       "      <td>-0.293056</td>\n",
       "      <td>0.368074</td>\n",
       "      <td>1.334687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.122133</td>\n",
       "      <td>0.985486</td>\n",
       "      <td>-0.116530</td>\n",
       "      <td>0.788555</td>\n",
       "      <td>-0.441018</td>\n",
       "      <td>-0.905551</td>\n",
       "      <td>-0.615815</td>\n",
       "      <td>-0.179941</td>\n",
       "      <td>-0.782808</td>\n",
       "      <td>0.895697</td>\n",
       "      <td>1.675768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.500362</td>\n",
       "      <td>1.205807</td>\n",
       "      <td>-0.431483</td>\n",
       "      <td>0.291516</td>\n",
       "      <td>-0.394452</td>\n",
       "      <td>-0.916943</td>\n",
       "      <td>1.145299</td>\n",
       "      <td>1.001753</td>\n",
       "      <td>-0.376475</td>\n",
       "      <td>0.542307</td>\n",
       "      <td>-1.248332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.616254</td>\n",
       "      <td>-1.196742</td>\n",
       "      <td>-0.458287</td>\n",
       "      <td>-0.093116</td>\n",
       "      <td>-0.363408</td>\n",
       "      <td>1.703642</td>\n",
       "      <td>-0.615815</td>\n",
       "      <td>0.006067</td>\n",
       "      <td>0.051520</td>\n",
       "      <td>0.160328</td>\n",
       "      <td>0.311444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-1.949018</td>\n",
       "      <td>-0.151091</td>\n",
       "      <td>-0.022714</td>\n",
       "      <td>-1.462477</td>\n",
       "      <td>-0.559223</td>\n",
       "      <td>-0.111196</td>\n",
       "      <td>-0.615815</td>\n",
       "      <td>-0.852850</td>\n",
       "      <td>0.484950</td>\n",
       "      <td>-0.164949</td>\n",
       "      <td>-0.761621</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   popularity    energy  liveness     tempo  speechiness  acousticness  \\\n",
       "0    0.542671  1.027451 -0.089725  0.634236    -0.479225     -0.918312   \n",
       "1    1.122133  0.985486 -0.116530  0.788555    -0.441018     -0.905551   \n",
       "2   -0.500362  1.205807 -0.431483  0.291516    -0.394452     -0.916943   \n",
       "3   -0.616254 -1.196742 -0.458287 -0.093116    -0.363408      1.703642   \n",
       "4   -1.949018 -0.151091 -0.022714 -1.462477    -0.559223     -0.111196   \n",
       "\n",
       "   instrumentalness  danceability  duration_ms  loudness   valence  \n",
       "0         -0.034706     -0.338594    -0.293056  0.368074  1.334687  \n",
       "1         -0.615815     -0.179941    -0.782808  0.895697  1.675768  \n",
       "2          1.145299      1.001753    -0.376475  0.542307 -1.248332  \n",
       "3         -0.615815      0.006067     0.051520  0.160328  0.311444  \n",
       "4         -0.615815     -0.852850     0.484950 -0.164949 -0.761621  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_songs_scaled.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mood_1</th>\n",
       "      <th>mood_map</th>\n",
       "      <th>mood_x</th>\n",
       "      <th>mood_y</th>\n",
       "      <th>simple_x</th>\n",
       "      <th>simple_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Brooding</td>\n",
       "      <td>(1, -2)</td>\n",
       "      <td>1</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aggressive</td>\n",
       "      <td>(2, -2)</td>\n",
       "      <td>2</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Energizing</td>\n",
       "      <td>(2, 0)</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Romantic</td>\n",
       "      <td>(-1, 1)</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Brooding</td>\n",
       "      <td>(1, -2)</td>\n",
       "      <td>1</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       mood_1 mood_map  mood_x  mood_y  simple_x  simple_y\n",
       "0    Brooding  (1, -2)       1      -2         1        -1\n",
       "1  Aggressive  (2, -2)       2      -2         1        -1\n",
       "2  Energizing   (2, 0)       2       0         1         0\n",
       "4    Romantic  (-1, 1)      -1       1        -1         1\n",
       "5    Brooding  (1, -2)       1      -2         1        -1"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_songs_target.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "master_songs_3 = pd.read_pickle('data/master_songs_3.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "master_df = pd.concat([master_songs_3, master_songs_target], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>artist</th>\n",
       "      <th>explicit</th>\n",
       "      <th>id</th>\n",
       "      <th>popularity</th>\n",
       "      <th>title</th>\n",
       "      <th>energy</th>\n",
       "      <th>liveness</th>\n",
       "      <th>tempo</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>...</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>gnid</th>\n",
       "      <th>mood_1</th>\n",
       "      <th>mood_2</th>\n",
       "      <th>mood_1</th>\n",
       "      <th>mood_map</th>\n",
       "      <th>mood_x</th>\n",
       "      <th>mood_y</th>\n",
       "      <th>simple_x</th>\n",
       "      <th>simple_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Nirvana</td>\n",
       "      <td>False</td>\n",
       "      <td>3FUsMXBxA4V7eUwQ7B0HQO</td>\n",
       "      <td>48</td>\n",
       "      <td>Love Buzz</td>\n",
       "      <td>0.885000</td>\n",
       "      <td>0.1690</td>\n",
       "      <td>138.153</td>\n",
       "      <td>0.035400</td>\n",
       "      <td>0.000032</td>\n",
       "      <td>...</td>\n",
       "      <td>Grunge</td>\n",
       "      <td>5007273-06983AE0CA94A42592A86F999A523B41</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>Alienated / Brooding</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>(1, -2)</td>\n",
       "      <td>1</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The Presidents Of The United States Of America</td>\n",
       "      <td>False</td>\n",
       "      <td>2JdzB67NvIa90K4gEZPLeX</td>\n",
       "      <td>58</td>\n",
       "      <td>Lump</td>\n",
       "      <td>0.873000</td>\n",
       "      <td>0.1650</td>\n",
       "      <td>142.726</td>\n",
       "      <td>0.038600</td>\n",
       "      <td>0.004680</td>\n",
       "      <td>...</td>\n",
       "      <td>Alternative Pop</td>\n",
       "      <td>7176919-C893DAE82E18906A0C45F2D6651DF095</td>\n",
       "      <td>Aggressive</td>\n",
       "      <td>Aggressive Power</td>\n",
       "      <td>Aggressive</td>\n",
       "      <td>(2, -2)</td>\n",
       "      <td>2</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Stanton Warriors</td>\n",
       "      <td>False</td>\n",
       "      <td>0zXLMZUCYZCx8Bq4jCr174</td>\n",
       "      <td>30</td>\n",
       "      <td>So Sweet</td>\n",
       "      <td>0.936000</td>\n",
       "      <td>0.1180</td>\n",
       "      <td>127.997</td>\n",
       "      <td>0.042500</td>\n",
       "      <td>0.000531</td>\n",
       "      <td>...</td>\n",
       "      <td>Breakbeat</td>\n",
       "      <td>542968754-3A3DE9DCC8AACF9DE2F055187073DCA2</td>\n",
       "      <td>Energizing</td>\n",
       "      <td>Abstract Beat</td>\n",
       "      <td>Energizing</td>\n",
       "      <td>(2, 0)</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Robyn</td>\n",
       "      <td>False</td>\n",
       "      <td>01NJd6s7Kyn6NSsPp503sh</td>\n",
       "      <td>28</td>\n",
       "      <td>Be Mine! - Live At The Cherrytree House</td>\n",
       "      <td>0.249000</td>\n",
       "      <td>0.1140</td>\n",
       "      <td>116.599</td>\n",
       "      <td>0.045100</td>\n",
       "      <td>0.955000</td>\n",
       "      <td>...</td>\n",
       "      <td>Pop Electronica</td>\n",
       "      <td>176433014-A2FF98AC415031B8A67464F3DED3BC22</td>\n",
       "      <td>Romantic</td>\n",
       "      <td>Heartfelt Passion</td>\n",
       "      <td>Romantic</td>\n",
       "      <td>(-1, 1)</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Pearl Jam</td>\n",
       "      <td>False</td>\n",
       "      <td>6qgpO647NPBUvBkm56vV7d</td>\n",
       "      <td>5</td>\n",
       "      <td>Black</td>\n",
       "      <td>0.548000</td>\n",
       "      <td>0.1790</td>\n",
       "      <td>76.020</td>\n",
       "      <td>0.028700</td>\n",
       "      <td>0.294000</td>\n",
       "      <td>...</td>\n",
       "      <td>Grunge</td>\n",
       "      <td>17527306-1F01011247D0A98978073E66BF4D5597</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>Evocative / Intriguing</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>(1, -2)</td>\n",
       "      <td>1</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Sam Hunt</td>\n",
       "      <td>False</td>\n",
       "      <td>3wx2kQWPn9p5UppQbNhPAk</td>\n",
       "      <td>67</td>\n",
       "      <td>Leave The Night On</td>\n",
       "      <td>0.953000</td>\n",
       "      <td>0.3490</td>\n",
       "      <td>171.971</td>\n",
       "      <td>0.062400</td>\n",
       "      <td>0.099600</td>\n",
       "      <td>...</td>\n",
       "      <td>Contemporary Country</td>\n",
       "      <td>459278920-F9806BD4AFF4B5DC038D6D65E70C0B6C</td>\n",
       "      <td>Yearning</td>\n",
       "      <td>Sensitive / Exploring</td>\n",
       "      <td>Yearning</td>\n",
       "      <td>(0, -1)</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Kaya May</td>\n",
       "      <td>False</td>\n",
       "      <td>4eg3wsiTrPa7KpwVai2VY7</td>\n",
       "      <td>56</td>\n",
       "      <td>Hands to Myself, Love Yourself, Perfect (Acous...</td>\n",
       "      <td>0.445000</td>\n",
       "      <td>0.1130</td>\n",
       "      <td>110.056</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.057500</td>\n",
       "      <td>...</td>\n",
       "      <td>Pop Vocal</td>\n",
       "      <td>604743990-4B9A5237E117F5CE9E8506362D53C1D9</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>Dreamy Brooding</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>(1, -2)</td>\n",
       "      <td>1</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Notaker</td>\n",
       "      <td>False</td>\n",
       "      <td>341ShRaeysVdxLetlI391K</td>\n",
       "      <td>56</td>\n",
       "      <td>Infinite</td>\n",
       "      <td>0.669000</td>\n",
       "      <td>0.1080</td>\n",
       "      <td>99.987</td>\n",
       "      <td>0.048300</td>\n",
       "      <td>0.093700</td>\n",
       "      <td>...</td>\n",
       "      <td>Club Dance</td>\n",
       "      <td>625141650-9A245193045FB288D1785D87C9D94308</td>\n",
       "      <td>Excited</td>\n",
       "      <td>Euphoric Energy</td>\n",
       "      <td>Excited</td>\n",
       "      <td>(2, 2)</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Thomas Rhett</td>\n",
       "      <td>False</td>\n",
       "      <td>4vLRCGOBz4zIS8nEHk5v9j</td>\n",
       "      <td>54</td>\n",
       "      <td>I Feel Good</td>\n",
       "      <td>0.584000</td>\n",
       "      <td>0.0677</td>\n",
       "      <td>106.967</td>\n",
       "      <td>0.036600</td>\n",
       "      <td>0.006580</td>\n",
       "      <td>...</td>\n",
       "      <td>Adult Alternative Pop</td>\n",
       "      <td>559331496-FC21BAF88655CD4311D055262C0E8435</td>\n",
       "      <td>Energizing</td>\n",
       "      <td>Edgy / Sexy</td>\n",
       "      <td>Energizing</td>\n",
       "      <td>(2, 0)</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Kaftan</td>\n",
       "      <td>False</td>\n",
       "      <td>7fRr8M0BGE3mmf9rjKcjd0</td>\n",
       "      <td>42</td>\n",
       "      <td>Romance In Dubai</td>\n",
       "      <td>0.194000</td>\n",
       "      <td>0.7230</td>\n",
       "      <td>123.994</td>\n",
       "      <td>0.034300</td>\n",
       "      <td>0.846000</td>\n",
       "      <td>...</td>\n",
       "      <td>Classic Folk Rock</td>\n",
       "      <td>8956126-CD32DAA6019AC60DA64B3FCF79D7AE6A</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>Strong / Stable</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>(0, 1)</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Kail Baxley</td>\n",
       "      <td>False</td>\n",
       "      <td>3zkdaLqbeTXcIyJnMAwA35</td>\n",
       "      <td>32</td>\n",
       "      <td>Better Feeln' Better Days</td>\n",
       "      <td>0.401000</td>\n",
       "      <td>0.0943</td>\n",
       "      <td>149.920</td>\n",
       "      <td>0.042300</td>\n",
       "      <td>0.110000</td>\n",
       "      <td>...</td>\n",
       "      <td>General Mainstream Rock</td>\n",
       "      <td>500309215-2D6B8E04D7905795BDCC79ED7A5BB877</td>\n",
       "      <td>Aggressive</td>\n",
       "      <td>Dark Hard Beat</td>\n",
       "      <td>Aggressive</td>\n",
       "      <td>(2, -2)</td>\n",
       "      <td>2</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Fat Jon</td>\n",
       "      <td>False</td>\n",
       "      <td>5o6WCwKNByv0py1w1zuKw0</td>\n",
       "      <td>48</td>\n",
       "      <td>Feel The Void</td>\n",
       "      <td>0.228000</td>\n",
       "      <td>0.1520</td>\n",
       "      <td>176.037</td>\n",
       "      <td>0.068200</td>\n",
       "      <td>0.312000</td>\n",
       "      <td>...</td>\n",
       "      <td>General Hip-Hop/Rap</td>\n",
       "      <td>23529252-2E04380607A27A29C6EFF6B4C68C03FE</td>\n",
       "      <td>Sensual</td>\n",
       "      <td>Dreamy Pulse</td>\n",
       "      <td>Sensual</td>\n",
       "      <td>(0, 0)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Tchavolo Schmitt</td>\n",
       "      <td>False</td>\n",
       "      <td>3jkI4pBId7ZC0b9QOCLPd1</td>\n",
       "      <td>40</td>\n",
       "      <td>L'indien</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0.1080</td>\n",
       "      <td>112.912</td>\n",
       "      <td>0.046300</td>\n",
       "      <td>0.894000</td>\n",
       "      <td>...</td>\n",
       "      <td>Gypsy Jazz</td>\n",
       "      <td>15155886-B6CACCDC1239A0856870C4B1099E6D39</td>\n",
       "      <td>Sophisticated</td>\n",
       "      <td>Dark Playful</td>\n",
       "      <td>Sophisticated</td>\n",
       "      <td>(-1, 0)</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Aoife O'Donovan</td>\n",
       "      <td>False</td>\n",
       "      <td>0SWNotmLvAsYVMQSDJsRk8</td>\n",
       "      <td>53</td>\n",
       "      <td>Stanley Park</td>\n",
       "      <td>0.556000</td>\n",
       "      <td>0.1040</td>\n",
       "      <td>145.081</td>\n",
       "      <td>0.033700</td>\n",
       "      <td>0.701000</td>\n",
       "      <td>...</td>\n",
       "      <td>Alternative Folk</td>\n",
       "      <td>559382054-4ED5801C4947369B58DAD50102BD9DF3</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>Dramatic Emotion</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>(0, 1)</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>A Day To Remember</td>\n",
       "      <td>False</td>\n",
       "      <td>6J7cSyvSCnPwv3vqHchEfL</td>\n",
       "      <td>65</td>\n",
       "      <td>If It Means a Lot to You</td>\n",
       "      <td>0.536000</td>\n",
       "      <td>0.4560</td>\n",
       "      <td>126.996</td>\n",
       "      <td>0.027900</td>\n",
       "      <td>0.112000</td>\n",
       "      <td>...</td>\n",
       "      <td>Pop Punk</td>\n",
       "      <td>175221186-1C80FCE0A427847B2207CC678A9D1649</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>Powerful / Heroic</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>(0, 1)</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Matt Nathanson</td>\n",
       "      <td>False</td>\n",
       "      <td>38YgZVHPWOWsKrsCXz6JyP</td>\n",
       "      <td>65</td>\n",
       "      <td>Come On Get Higher</td>\n",
       "      <td>0.623000</td>\n",
       "      <td>0.0848</td>\n",
       "      <td>92.018</td>\n",
       "      <td>0.029700</td>\n",
       "      <td>0.241000</td>\n",
       "      <td>...</td>\n",
       "      <td>Adult Alternative Pop</td>\n",
       "      <td>133248809-EDAF04984236809E7D8D5A977BF8DA55</td>\n",
       "      <td>Yearning</td>\n",
       "      <td>Sensitive / Exploring</td>\n",
       "      <td>Yearning</td>\n",
       "      <td>(0, -1)</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Winhill/Losehill</td>\n",
       "      <td>False</td>\n",
       "      <td>2PldymZqtssieF3hecUxp8</td>\n",
       "      <td>37</td>\n",
       "      <td>Aifos</td>\n",
       "      <td>0.231000</td>\n",
       "      <td>0.1080</td>\n",
       "      <td>99.033</td>\n",
       "      <td>0.029900</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>...</td>\n",
       "      <td>Alternative Folk</td>\n",
       "      <td>495566258-C20338AB82DF404A1ABFC62E80E590AB</td>\n",
       "      <td>Sentimental</td>\n",
       "      <td>Gentle Bittersweet</td>\n",
       "      <td>Sentimental</td>\n",
       "      <td>(-2, 0)</td>\n",
       "      <td>-2</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Sound Dreamer</td>\n",
       "      <td>False</td>\n",
       "      <td>2ehTj8yNcjClESRnkkXEws</td>\n",
       "      <td>32</td>\n",
       "      <td>Blue Noise - 1 Hour</td>\n",
       "      <td>0.000513</td>\n",
       "      <td>0.7920</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.087098</td>\n",
       "      <td>0.112000</td>\n",
       "      <td>...</td>\n",
       "      <td>General New Age</td>\n",
       "      <td>511396908-80F07A59E07C4E15D2DB74F178EDF324</td>\n",
       "      <td>Aggressive</td>\n",
       "      <td>Chaotic / Intense</td>\n",
       "      <td>Aggressive</td>\n",
       "      <td>(2, -2)</td>\n",
       "      <td>2</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Antoine Brumel</td>\n",
       "      <td>False</td>\n",
       "      <td>6ZLjh6Os8Wh0A5sRXnwPvz</td>\n",
       "      <td>23</td>\n",
       "      <td>Missa Et ecce terrae motus (The Earthquake Mas...</td>\n",
       "      <td>0.249000</td>\n",
       "      <td>0.0499</td>\n",
       "      <td>130.321</td>\n",
       "      <td>0.040900</td>\n",
       "      <td>0.982000</td>\n",
       "      <td>...</td>\n",
       "      <td>Renaissance Vocal</td>\n",
       "      <td>190233350-BD90E7D6255D4601F15D89DD412AAEF9</td>\n",
       "      <td>Somber</td>\n",
       "      <td>Solemn / Spiritual</td>\n",
       "      <td>Somber</td>\n",
       "      <td>(-2, -2)</td>\n",
       "      <td>-2</td>\n",
       "      <td>-2</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Gustav Holst</td>\n",
       "      <td>False</td>\n",
       "      <td>39NWMAVXWhAlqfGGJb273W</td>\n",
       "      <td>35</td>\n",
       "      <td>The Planets, Op. 32: II. Venus, the Bringer of...</td>\n",
       "      <td>0.011900</td>\n",
       "      <td>0.1320</td>\n",
       "      <td>138.631</td>\n",
       "      <td>0.040100</td>\n",
       "      <td>0.958000</td>\n",
       "      <td>...</td>\n",
       "      <td>Modern Era Instrumental</td>\n",
       "      <td>403401616-A0423E14273A26D29A07CFB5C5A4ED33</td>\n",
       "      <td>Peaceful</td>\n",
       "      <td>Reverent / Healing</td>\n",
       "      <td>Peaceful</td>\n",
       "      <td>(-2, 2)</td>\n",
       "      <td>-2</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Half Moon Run</td>\n",
       "      <td>False</td>\n",
       "      <td>7soAS9Ksc9H6TdRSBlJlKV</td>\n",
       "      <td>50</td>\n",
       "      <td>Turn Your Love</td>\n",
       "      <td>0.721000</td>\n",
       "      <td>0.0814</td>\n",
       "      <td>172.022</td>\n",
       "      <td>0.058900</td>\n",
       "      <td>0.215000</td>\n",
       "      <td>...</td>\n",
       "      <td>General Indie Rock</td>\n",
       "      <td>548664016-EF9030254AE1DF44E7809DDCC4B98BB5</td>\n",
       "      <td>Yearning</td>\n",
       "      <td>Sensitive / Exploring</td>\n",
       "      <td>Yearning</td>\n",
       "      <td>(0, -1)</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>The Chain Gang Of 1974</td>\n",
       "      <td>False</td>\n",
       "      <td>1hApLa0ZE1mv2Gm6pPg4z9</td>\n",
       "      <td>46</td>\n",
       "      <td>I Still Wonder</td>\n",
       "      <td>0.735000</td>\n",
       "      <td>0.1050</td>\n",
       "      <td>100.038</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.024100</td>\n",
       "      <td>...</td>\n",
       "      <td>Pop Electronica</td>\n",
       "      <td>656622416-9CA71E46B3656785B3CFDB91F233161F</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>Powerful / Heroic</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>(0, 1)</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>John Debney</td>\n",
       "      <td>False</td>\n",
       "      <td>1ZRXjiUrYkXLmOBatgpXDE</td>\n",
       "      <td>36</td>\n",
       "      <td>The Man Village</td>\n",
       "      <td>0.017700</td>\n",
       "      <td>0.0722</td>\n",
       "      <td>93.592</td>\n",
       "      <td>0.038200</td>\n",
       "      <td>0.957000</td>\n",
       "      <td>...</td>\n",
       "      <td>General Film Music</td>\n",
       "      <td>621625084-6F80480D2AF1CF335DC9F8B40DE492A4</td>\n",
       "      <td>Peaceful</td>\n",
       "      <td>Pastoral / Serene</td>\n",
       "      <td>Peaceful</td>\n",
       "      <td>(-2, 2)</td>\n",
       "      <td>-2</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Jacques Loussier Trio</td>\n",
       "      <td>False</td>\n",
       "      <td>2RJQk9M2tXk8HntW9lus5t</td>\n",
       "      <td>30</td>\n",
       "      <td>Bach: Goldberg Variations: Aria</td>\n",
       "      <td>0.231000</td>\n",
       "      <td>0.0713</td>\n",
       "      <td>131.075</td>\n",
       "      <td>0.044100</td>\n",
       "      <td>0.927000</td>\n",
       "      <td>...</td>\n",
       "      <td>Avant Garde</td>\n",
       "      <td>11547023-AACBC3FEF3C2505DBDB0FA0C883D0D45</td>\n",
       "      <td>Tender</td>\n",
       "      <td>Romantic / Lyrical</td>\n",
       "      <td>Tender</td>\n",
       "      <td>(-2, 1)</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Kilfenora Fiddle Ceili Band</td>\n",
       "      <td>False</td>\n",
       "      <td>0760mgHmuy6RoYgEYgEaki</td>\n",
       "      <td>25</td>\n",
       "      <td>Kilfenora Reels: Connemara Stocking - The West...</td>\n",
       "      <td>0.861000</td>\n",
       "      <td>0.1960</td>\n",
       "      <td>115.450</td>\n",
       "      <td>0.076000</td>\n",
       "      <td>0.702000</td>\n",
       "      <td>...</td>\n",
       "      <td>Celtic</td>\n",
       "      <td>222493127-5F35981284199944B22923B338E8BA79</td>\n",
       "      <td>Upbeat</td>\n",
       "      <td>Carefree Pop</td>\n",
       "      <td>Upbeat</td>\n",
       "      <td>(0, 2)</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Chance The Rapper</td>\n",
       "      <td>True</td>\n",
       "      <td>3eze1OsZ1rqeXkKStNfTmi</td>\n",
       "      <td>75</td>\n",
       "      <td>Juke Jam (feat. Justin Bieber &amp; Towkio)</td>\n",
       "      <td>0.397000</td>\n",
       "      <td>0.0853</td>\n",
       "      <td>95.063</td>\n",
       "      <td>0.324000</td>\n",
       "      <td>0.716000</td>\n",
       "      <td>...</td>\n",
       "      <td>Conscious Hip-Hop/Rap</td>\n",
       "      <td>631862845-4BA524D2F56811E86115259A19BA9D00</td>\n",
       "      <td>Sophisticated</td>\n",
       "      <td>Suave / Sultry</td>\n",
       "      <td>Sophisticated</td>\n",
       "      <td>(-1, 0)</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Neon Trees</td>\n",
       "      <td>False</td>\n",
       "      <td>0K1KOCeJBj3lpDYxEX9qP2</td>\n",
       "      <td>54</td>\n",
       "      <td>Sleeping With A Friend</td>\n",
       "      <td>0.890000</td>\n",
       "      <td>0.3240</td>\n",
       "      <td>107.037</td>\n",
       "      <td>0.036400</td>\n",
       "      <td>0.002040</td>\n",
       "      <td>...</td>\n",
       "      <td>Alternative Pop</td>\n",
       "      <td>419533449-48D814B984A9C378BC186A12CE93EA3F</td>\n",
       "      <td>Defiant</td>\n",
       "      <td>Heavy Brooding</td>\n",
       "      <td>Defiant</td>\n",
       "      <td>(2, -1)</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Allan Holdsworth</td>\n",
       "      <td>False</td>\n",
       "      <td>5MuakbsE1D8gC7FSGZCd2J</td>\n",
       "      <td>26</td>\n",
       "      <td>Metal Fatigue</td>\n",
       "      <td>0.595000</td>\n",
       "      <td>0.0300</td>\n",
       "      <td>109.951</td>\n",
       "      <td>0.060300</td>\n",
       "      <td>0.020900</td>\n",
       "      <td>...</td>\n",
       "      <td>Fusion</td>\n",
       "      <td>4452506-0789A9424B7C9136E232E39075EE04E6</td>\n",
       "      <td>Upbeat</td>\n",
       "      <td>Happy / Soulful</td>\n",
       "      <td>Upbeat</td>\n",
       "      <td>(0, 2)</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>A Great Big World</td>\n",
       "      <td>False</td>\n",
       "      <td>6Vc5wAMmXdKIAM7WUoEb7N</td>\n",
       "      <td>75</td>\n",
       "      <td>Say Something</td>\n",
       "      <td>0.147000</td>\n",
       "      <td>0.0913</td>\n",
       "      <td>141.284</td>\n",
       "      <td>0.035500</td>\n",
       "      <td>0.857000</td>\n",
       "      <td>...</td>\n",
       "      <td>Adult Alternative Pop</td>\n",
       "      <td>384362992-F0B28ECC2AE44D3B357D3685FAC84525</td>\n",
       "      <td>Melancholy</td>\n",
       "      <td>Wistful / Forlorn</td>\n",
       "      <td>Melancholy</td>\n",
       "      <td>(-2, -1)</td>\n",
       "      <td>-2</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>The Cadillac Three</td>\n",
       "      <td>False</td>\n",
       "      <td>63hskc5rKK8TcMidK5HYU7</td>\n",
       "      <td>42</td>\n",
       "      <td>Drunk Like You</td>\n",
       "      <td>0.789000</td>\n",
       "      <td>0.3580</td>\n",
       "      <td>140.081</td>\n",
       "      <td>0.040500</td>\n",
       "      <td>0.224000</td>\n",
       "      <td>...</td>\n",
       "      <td>Southern Rock</td>\n",
       "      <td>643499512-ECF857DFB403F2731D625C815376F5E1</td>\n",
       "      <td>Gritty</td>\n",
       "      <td>Strumming Yearning</td>\n",
       "      <td>Gritty</td>\n",
       "      <td>(-1, -2)</td>\n",
       "      <td>-1</td>\n",
       "      <td>-2</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24533</th>\n",
       "      <td>Mountain</td>\n",
       "      <td>False</td>\n",
       "      <td>4vO9dmzNRqDhFY3jD1a3P7</td>\n",
       "      <td>58</td>\n",
       "      <td>Mississippi Queen</td>\n",
       "      <td>0.624000</td>\n",
       "      <td>0.0411</td>\n",
       "      <td>139.720</td>\n",
       "      <td>0.078400</td>\n",
       "      <td>0.097500</td>\n",
       "      <td>...</td>\n",
       "      <td>Classic Hard Rock</td>\n",
       "      <td>40888848-5D397C55C13EEC7873B0A75194C4D960</td>\n",
       "      <td>Excited</td>\n",
       "      <td>Loud Celebratory</td>\n",
       "      <td>Excited</td>\n",
       "      <td>(2, 2)</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24534</th>\n",
       "      <td>Stevie Wonder</td>\n",
       "      <td>False</td>\n",
       "      <td>4dwrL3Z5U2RZ6MZiKE2PgL</td>\n",
       "      <td>65</td>\n",
       "      <td>Superstition</td>\n",
       "      <td>0.751000</td>\n",
       "      <td>0.0418</td>\n",
       "      <td>100.437</td>\n",
       "      <td>0.080600</td>\n",
       "      <td>0.018200</td>\n",
       "      <td>...</td>\n",
       "      <td>Classic Soul</td>\n",
       "      <td>4443052-7860FC673B368037AEE41742982D757F</td>\n",
       "      <td>Energizing</td>\n",
       "      <td>Arousing Groove</td>\n",
       "      <td>Energizing</td>\n",
       "      <td>(2, 0)</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24535</th>\n",
       "      <td>Rita Marley</td>\n",
       "      <td>False</td>\n",
       "      <td>5X13b4CYce5Y6NYPfmYsXr</td>\n",
       "      <td>53</td>\n",
       "      <td>One Draw</td>\n",
       "      <td>0.430000</td>\n",
       "      <td>0.0476</td>\n",
       "      <td>89.519</td>\n",
       "      <td>0.068000</td>\n",
       "      <td>0.031200</td>\n",
       "      <td>...</td>\n",
       "      <td>Roots Reggae</td>\n",
       "      <td>7220316-3778D5341CC3CFCCAA585734295952A5</td>\n",
       "      <td>Cool</td>\n",
       "      <td>Casual Groove</td>\n",
       "      <td>Cool</td>\n",
       "      <td>(-1, -1)</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24537</th>\n",
       "      <td>AKDONG MUSICIAN</td>\n",
       "      <td>False</td>\n",
       "      <td>26USSJB5B6QN2MfIVVNB0A</td>\n",
       "      <td>48</td>\n",
       "      <td>Time and Fallen Leaves</td>\n",
       "      <td>0.229000</td>\n",
       "      <td>0.1100</td>\n",
       "      <td>96.898</td>\n",
       "      <td>0.029800</td>\n",
       "      <td>0.830000</td>\n",
       "      <td>...</td>\n",
       "      <td>K-Pop</td>\n",
       "      <td>462593416-EF6B657821565504FD224EB673D6DD17</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>Dramatic Emotion</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>(0, 1)</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24538</th>\n",
       "      <td>Shlohmo</td>\n",
       "      <td>False</td>\n",
       "      <td>4XEKCTeQFqyThTUGyq2yNS</td>\n",
       "      <td>4</td>\n",
       "      <td>The Way U Do</td>\n",
       "      <td>0.743000</td>\n",
       "      <td>0.0943</td>\n",
       "      <td>128.011</td>\n",
       "      <td>0.046500</td>\n",
       "      <td>0.389000</td>\n",
       "      <td>...</td>\n",
       "      <td>Dancehall</td>\n",
       "      <td>29485678-81513E14036400CBB3CA4E3A6CAA30BD</td>\n",
       "      <td>Sensual</td>\n",
       "      <td>Soft Soulful</td>\n",
       "      <td>Sensual</td>\n",
       "      <td>(0, 0)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24539</th>\n",
       "      <td>Jake Shimabukuro</td>\n",
       "      <td>False</td>\n",
       "      <td>10QXBClm8tvT3uTjAyM2qq</td>\n",
       "      <td>47</td>\n",
       "      <td>I'll Be There</td>\n",
       "      <td>0.160000</td>\n",
       "      <td>0.0933</td>\n",
       "      <td>99.573</td>\n",
       "      <td>0.116000</td>\n",
       "      <td>0.973000</td>\n",
       "      <td>...</td>\n",
       "      <td>World Pop Fusion</td>\n",
       "      <td>525279910-D88DB547A60B596B45F1459DECE6AD3C</td>\n",
       "      <td>Melancholy</td>\n",
       "      <td>Wistful / Forlorn</td>\n",
       "      <td>Melancholy</td>\n",
       "      <td>(-2, -1)</td>\n",
       "      <td>-2</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24540</th>\n",
       "      <td>Big Sean</td>\n",
       "      <td>True</td>\n",
       "      <td>4UaWrzY75h1tAvlxa4NKP9</td>\n",
       "      <td>61</td>\n",
       "      <td>Blessings</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.1280</td>\n",
       "      <td>118.397</td>\n",
       "      <td>0.395000</td>\n",
       "      <td>0.285000</td>\n",
       "      <td>...</td>\n",
       "      <td>General Hip-Hop/Rap</td>\n",
       "      <td>500472424-4933287A5DF870F4C054F572E4B97578</td>\n",
       "      <td>Cool</td>\n",
       "      <td>Wary / Defiant</td>\n",
       "      <td>Cool</td>\n",
       "      <td>(-1, -1)</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24541</th>\n",
       "      <td>Amon Amarth</td>\n",
       "      <td>False</td>\n",
       "      <td>3hf590VY3jJzyV6BA7IqCb</td>\n",
       "      <td>50</td>\n",
       "      <td>First Kill</td>\n",
       "      <td>0.925000</td>\n",
       "      <td>0.0436</td>\n",
       "      <td>189.071</td>\n",
       "      <td>0.054100</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>...</td>\n",
       "      <td>Death Metal</td>\n",
       "      <td>611713675-386031F3CB42521E9A1490FB901E98FD</td>\n",
       "      <td>Aggressive</td>\n",
       "      <td>Heavy Triumphant</td>\n",
       "      <td>Aggressive</td>\n",
       "      <td>(2, -2)</td>\n",
       "      <td>2</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24542</th>\n",
       "      <td>i said yes</td>\n",
       "      <td>False</td>\n",
       "      <td>2rt0HlFcXA8iqIRO7p12nV</td>\n",
       "      <td>16</td>\n",
       "      <td>Follow On</td>\n",
       "      <td>0.421000</td>\n",
       "      <td>0.2120</td>\n",
       "      <td>119.874</td>\n",
       "      <td>0.043800</td>\n",
       "      <td>0.668000</td>\n",
       "      <td>...</td>\n",
       "      <td>Pop Vocal</td>\n",
       "      <td>323818834-08B53C4F61BDCB5D4B28DD0B52F4E546</td>\n",
       "      <td>Sentimental</td>\n",
       "      <td>Gentle Bittersweet</td>\n",
       "      <td>Sentimental</td>\n",
       "      <td>(-2, 0)</td>\n",
       "      <td>-2</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24543</th>\n",
       "      <td>Hilow</td>\n",
       "      <td>False</td>\n",
       "      <td>0JxOchJtqL5kXkF6dGhi2o</td>\n",
       "      <td>49</td>\n",
       "      <td>Fell in Love With You (feat. Cristina Llull)</td>\n",
       "      <td>0.790000</td>\n",
       "      <td>0.3670</td>\n",
       "      <td>115.009</td>\n",
       "      <td>0.042600</td>\n",
       "      <td>0.366000</td>\n",
       "      <td>...</td>\n",
       "      <td>Classic Folk Rock</td>\n",
       "      <td>4424114-59B2D409A0AD756359794AEBBEAE63D5</td>\n",
       "      <td>Gritty</td>\n",
       "      <td>Gritty / Soulful</td>\n",
       "      <td>Gritty</td>\n",
       "      <td>(-1, -2)</td>\n",
       "      <td>-1</td>\n",
       "      <td>-2</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24544</th>\n",
       "      <td>blink-182</td>\n",
       "      <td>False</td>\n",
       "      <td>6XvCgvHzNff98XlI8YGaAp</td>\n",
       "      <td>34</td>\n",
       "      <td>Does My Breath Smell?</td>\n",
       "      <td>0.831000</td>\n",
       "      <td>0.0747</td>\n",
       "      <td>161.615</td>\n",
       "      <td>0.105000</td>\n",
       "      <td>0.001440</td>\n",
       "      <td>...</td>\n",
       "      <td>Pop Punk</td>\n",
       "      <td>7453336-FE43012E94C486BE30AB65F15C482393</td>\n",
       "      <td>Excited</td>\n",
       "      <td>Happy Excitement</td>\n",
       "      <td>Excited</td>\n",
       "      <td>(2, 2)</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24545</th>\n",
       "      <td>Lena Horne</td>\n",
       "      <td>False</td>\n",
       "      <td>01VUASZ1u1sKjkNnIKdeJa</td>\n",
       "      <td>10</td>\n",
       "      <td>Speak Low</td>\n",
       "      <td>0.212000</td>\n",
       "      <td>0.1080</td>\n",
       "      <td>105.956</td>\n",
       "      <td>0.038900</td>\n",
       "      <td>0.960000</td>\n",
       "      <td>...</td>\n",
       "      <td>Classic Female Vocal Pop</td>\n",
       "      <td>36405060-A37EE7C73C5FDC6AC8BED87A49419D44</td>\n",
       "      <td>Romantic</td>\n",
       "      <td>Lush / Romantic</td>\n",
       "      <td>Romantic</td>\n",
       "      <td>(-1, 1)</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24546</th>\n",
       "      <td>Beegie Adair</td>\n",
       "      <td>False</td>\n",
       "      <td>4zRweMHazlqCTUe6GvviYf</td>\n",
       "      <td>53</td>\n",
       "      <td>Can't Help Loving</td>\n",
       "      <td>0.148000</td>\n",
       "      <td>0.1120</td>\n",
       "      <td>63.637</td>\n",
       "      <td>0.032900</td>\n",
       "      <td>0.924000</td>\n",
       "      <td>...</td>\n",
       "      <td>Modern Jazz</td>\n",
       "      <td>32300409-EB81D499B589DF06F47DE518569636D8</td>\n",
       "      <td>Sentimental</td>\n",
       "      <td>Lyrical Sentimental</td>\n",
       "      <td>Sentimental</td>\n",
       "      <td>(-2, 0)</td>\n",
       "      <td>-2</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24547</th>\n",
       "      <td>Crystal Antlers</td>\n",
       "      <td>False</td>\n",
       "      <td>5WxZ4Y58facPbp4CrVobii</td>\n",
       "      <td>25</td>\n",
       "      <td>Summer Solstice</td>\n",
       "      <td>0.876000</td>\n",
       "      <td>0.2700</td>\n",
       "      <td>130.802</td>\n",
       "      <td>0.048700</td>\n",
       "      <td>0.232000</td>\n",
       "      <td>...</td>\n",
       "      <td>Neo-Psychedelic</td>\n",
       "      <td>243531496-0ACF90E8CED34CC5944C284B0E41DE7E</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>Energetic Melancholy</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>(1, -2)</td>\n",
       "      <td>1</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24548</th>\n",
       "      <td>The Beef Seeds</td>\n",
       "      <td>False</td>\n",
       "      <td>0jEaPBjFAWjQTMVouRwaHi</td>\n",
       "      <td>29</td>\n",
       "      <td>Happy</td>\n",
       "      <td>0.758000</td>\n",
       "      <td>0.1270</td>\n",
       "      <td>86.529</td>\n",
       "      <td>0.160000</td>\n",
       "      <td>0.665000</td>\n",
       "      <td>...</td>\n",
       "      <td>General Country</td>\n",
       "      <td>401644459-47FCFD757B624DAF7288B68283D30075</td>\n",
       "      <td>Fiery</td>\n",
       "      <td>Fiery Groove</td>\n",
       "      <td>Fiery</td>\n",
       "      <td>(1, 0)</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24549</th>\n",
       "      <td>Burns</td>\n",
       "      <td>False</td>\n",
       "      <td>2LCpN3J6CA6fA4hJGrwVSi</td>\n",
       "      <td>40</td>\n",
       "      <td>Beauty Queen</td>\n",
       "      <td>0.879000</td>\n",
       "      <td>0.4460</td>\n",
       "      <td>126.017</td>\n",
       "      <td>0.205000</td>\n",
       "      <td>0.111000</td>\n",
       "      <td>...</td>\n",
       "      <td>Pop Metal</td>\n",
       "      <td>11441470-9E01B8B75869827543989DF92AF05C48</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>Powerful / Heroic</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>(0, 1)</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24550</th>\n",
       "      <td>Nothing but Thieves</td>\n",
       "      <td>False</td>\n",
       "      <td>3VOrtLsn6VBoqfcB8BqIU0</td>\n",
       "      <td>53</td>\n",
       "      <td>Graveyard Whistling</td>\n",
       "      <td>0.530000</td>\n",
       "      <td>0.1060</td>\n",
       "      <td>141.954</td>\n",
       "      <td>0.038900</td>\n",
       "      <td>0.097200</td>\n",
       "      <td>...</td>\n",
       "      <td>Adult Alternative Pop</td>\n",
       "      <td>561013929-CFABCD34A41644662939AC2C0E794E27</td>\n",
       "      <td>Sophisticated</td>\n",
       "      <td>Smoky / Romantic</td>\n",
       "      <td>Sophisticated</td>\n",
       "      <td>(-1, 0)</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24551</th>\n",
       "      <td>Tamela Mann</td>\n",
       "      <td>False</td>\n",
       "      <td>0Ilr38Vi4bIRwUXASfagRd</td>\n",
       "      <td>49</td>\n",
       "      <td>God Provides</td>\n",
       "      <td>0.375000</td>\n",
       "      <td>0.1150</td>\n",
       "      <td>83.777</td>\n",
       "      <td>0.039800</td>\n",
       "      <td>0.748000</td>\n",
       "      <td>...</td>\n",
       "      <td>Contemporary Gospel</td>\n",
       "      <td>641085102-F0C3CDDF895AFBE952C20922E2DF05DD</td>\n",
       "      <td>Sophisticated</td>\n",
       "      <td>Smoky / Romantic</td>\n",
       "      <td>Sophisticated</td>\n",
       "      <td>(-1, 0)</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24552</th>\n",
       "      <td>Rx Bandits</td>\n",
       "      <td>False</td>\n",
       "      <td>1yC2n0cfsyIASjIKD0EZ3H</td>\n",
       "      <td>44</td>\n",
       "      <td>Apparition</td>\n",
       "      <td>0.818000</td>\n",
       "      <td>0.0967</td>\n",
       "      <td>137.771</td>\n",
       "      <td>0.040400</td>\n",
       "      <td>0.211000</td>\n",
       "      <td>...</td>\n",
       "      <td>Modern Ska</td>\n",
       "      <td>107843177-CC907F75001C74F3BDE8638973857CD8</td>\n",
       "      <td>Gritty</td>\n",
       "      <td>Strumming Yearning</td>\n",
       "      <td>Gritty</td>\n",
       "      <td>(-1, -2)</td>\n",
       "      <td>-1</td>\n",
       "      <td>-2</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24553</th>\n",
       "      <td>Garbage</td>\n",
       "      <td>False</td>\n",
       "      <td>0h4fRpHrxBeR3XWHmcolaU</td>\n",
       "      <td>48</td>\n",
       "      <td>Stupid Girl</td>\n",
       "      <td>0.804000</td>\n",
       "      <td>0.0358</td>\n",
       "      <td>120.015</td>\n",
       "      <td>0.033300</td>\n",
       "      <td>0.003360</td>\n",
       "      <td>...</td>\n",
       "      <td>Alternative Rock</td>\n",
       "      <td>4910394-26CE49568E14CFA5D2CB5C7A89ACCFFA</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>Powerful / Heroic</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>(0, 1)</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24554</th>\n",
       "      <td>Nate Ruess</td>\n",
       "      <td>False</td>\n",
       "      <td>1lAnSi0iSTbto9WnRcnyC1</td>\n",
       "      <td>52</td>\n",
       "      <td>Nothing Without Love</td>\n",
       "      <td>0.730000</td>\n",
       "      <td>0.0652</td>\n",
       "      <td>82.058</td>\n",
       "      <td>0.031000</td>\n",
       "      <td>0.087900</td>\n",
       "      <td>...</td>\n",
       "      <td>Adult Alternative Pop</td>\n",
       "      <td>532458284-6558052330524A59A340D49FAA6FBD1D</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>Powerful / Heroic</td>\n",
       "      <td>Empowering</td>\n",
       "      <td>(0, 1)</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24556</th>\n",
       "      <td>Prok &amp; Fitch</td>\n",
       "      <td>False</td>\n",
       "      <td>3rn9HRGclMdGVwc1yHzdt5</td>\n",
       "      <td>42</td>\n",
       "      <td>Tears - Original Mix</td>\n",
       "      <td>0.836000</td>\n",
       "      <td>0.0381</td>\n",
       "      <td>123.996</td>\n",
       "      <td>0.060300</td>\n",
       "      <td>0.000762</td>\n",
       "      <td>...</td>\n",
       "      <td>Tech House</td>\n",
       "      <td>349228547-D8B95B0AF917A6E296E5C9EB993352BE</td>\n",
       "      <td>Energizing</td>\n",
       "      <td>Heavy Beat</td>\n",
       "      <td>Energizing</td>\n",
       "      <td>(2, 0)</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24557</th>\n",
       "      <td>Brown Bird</td>\n",
       "      <td>False</td>\n",
       "      <td>5g3vDbjW1S08XRb2AZ1rkV</td>\n",
       "      <td>41</td>\n",
       "      <td>Fingers To The Bone</td>\n",
       "      <td>0.491000</td>\n",
       "      <td>0.1390</td>\n",
       "      <td>173.605</td>\n",
       "      <td>0.055900</td>\n",
       "      <td>0.349000</td>\n",
       "      <td>...</td>\n",
       "      <td>Alternative Rock</td>\n",
       "      <td>247719606-17E4BAB4A7B1CD8CA44637306AA5A251</td>\n",
       "      <td>Sophisticated</td>\n",
       "      <td>Dark Playful</td>\n",
       "      <td>Sophisticated</td>\n",
       "      <td>(-1, 0)</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24560</th>\n",
       "      <td>Duran Duran</td>\n",
       "      <td>False</td>\n",
       "      <td>0wokCRaKD0zPNhMRXAgVsr</td>\n",
       "      <td>62</td>\n",
       "      <td>Ordinary World</td>\n",
       "      <td>0.652000</td>\n",
       "      <td>0.1400</td>\n",
       "      <td>140.124</td>\n",
       "      <td>0.030500</td>\n",
       "      <td>0.013100</td>\n",
       "      <td>...</td>\n",
       "      <td>New Romantic</td>\n",
       "      <td>7302718-2EEFE3D0CC9414B3B5FC8579FE44113B</td>\n",
       "      <td>Yearning</td>\n",
       "      <td>Energetic Dreamy</td>\n",
       "      <td>Yearning</td>\n",
       "      <td>(0, -1)</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24561</th>\n",
       "      <td>Vashti Bunyan</td>\n",
       "      <td>False</td>\n",
       "      <td>1j4A3xCklwZtGL3wEKnl0r</td>\n",
       "      <td>30</td>\n",
       "      <td>Winter Is Blue</td>\n",
       "      <td>0.116000</td>\n",
       "      <td>0.1110</td>\n",
       "      <td>104.806</td>\n",
       "      <td>0.036100</td>\n",
       "      <td>0.981000</td>\n",
       "      <td>...</td>\n",
       "      <td>English Folk Rock</td>\n",
       "      <td>12393950-1C20A6D6D1CAE7F21CA7C9832AF9F42F</td>\n",
       "      <td>Sentimental</td>\n",
       "      <td>Tender / Sincere</td>\n",
       "      <td>Sentimental</td>\n",
       "      <td>(-2, 0)</td>\n",
       "      <td>-2</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24562</th>\n",
       "      <td>Blake Shelton</td>\n",
       "      <td>False</td>\n",
       "      <td>1HwAeValR9dJzAf8Erlv3s</td>\n",
       "      <td>26</td>\n",
       "      <td>Came Here to Forget</td>\n",
       "      <td>0.664000</td>\n",
       "      <td>0.1100</td>\n",
       "      <td>130.034</td>\n",
       "      <td>0.028300</td>\n",
       "      <td>0.334000</td>\n",
       "      <td>...</td>\n",
       "      <td>Contemporary Country</td>\n",
       "      <td>630820771-FD595ACE0CFA6FF1877B9A89ED646167</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>Dreamy Brooding</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>(1, -2)</td>\n",
       "      <td>1</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24563</th>\n",
       "      <td>Bent</td>\n",
       "      <td>False</td>\n",
       "      <td>4VIIlPZ9yIYiMjwsTywgRd</td>\n",
       "      <td>24</td>\n",
       "      <td>As You Fall - Kyau &amp; Albert Remix</td>\n",
       "      <td>0.712000</td>\n",
       "      <td>0.3190</td>\n",
       "      <td>132.768</td>\n",
       "      <td>0.042800</td>\n",
       "      <td>0.000761</td>\n",
       "      <td>...</td>\n",
       "      <td>General Downtempo</td>\n",
       "      <td>265811879-E2C518606C4D4167A6DE06A1640F39EA</td>\n",
       "      <td>Excited</td>\n",
       "      <td>Euphoric Energy</td>\n",
       "      <td>Excited</td>\n",
       "      <td>(2, 2)</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24564</th>\n",
       "      <td>Danny Elfman</td>\n",
       "      <td>False</td>\n",
       "      <td>1eZmTjKm5UHf7tcfjbnMOI</td>\n",
       "      <td>39</td>\n",
       "      <td>Finale</td>\n",
       "      <td>0.087700</td>\n",
       "      <td>0.1110</td>\n",
       "      <td>120.930</td>\n",
       "      <td>0.039800</td>\n",
       "      <td>0.979000</td>\n",
       "      <td>...</td>\n",
       "      <td>General Film Music</td>\n",
       "      <td>12742567-E90494E46779AA2A8A2DC933328FF263</td>\n",
       "      <td>Serious</td>\n",
       "      <td>Thrilling</td>\n",
       "      <td>Serious</td>\n",
       "      <td>(0, -2)</td>\n",
       "      <td>0</td>\n",
       "      <td>-2</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24565</th>\n",
       "      <td>Trey Gunn</td>\n",
       "      <td>False</td>\n",
       "      <td>6B9FlPonSCAQBLqGVCnhoR</td>\n",
       "      <td>14</td>\n",
       "      <td>The Joy of Molybdenum (feat. The Trey Gunn Band)</td>\n",
       "      <td>0.917000</td>\n",
       "      <td>0.1030</td>\n",
       "      <td>122.751</td>\n",
       "      <td>0.058400</td>\n",
       "      <td>0.041500</td>\n",
       "      <td>...</td>\n",
       "      <td>Classic Prog</td>\n",
       "      <td>9994566-653EBF54BF69F2C8CC0A3434E16BA0E5</td>\n",
       "      <td>Energizing</td>\n",
       "      <td>Abstract Beat</td>\n",
       "      <td>Energizing</td>\n",
       "      <td>(2, 0)</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24566</th>\n",
       "      <td>Culture Club</td>\n",
       "      <td>False</td>\n",
       "      <td>3XDeeP9wBZzGhIPZmLfEEx</td>\n",
       "      <td>54</td>\n",
       "      <td>Karma Chameleon</td>\n",
       "      <td>0.552000</td>\n",
       "      <td>0.2060</td>\n",
       "      <td>92.056</td>\n",
       "      <td>0.033700</td>\n",
       "      <td>0.214000</td>\n",
       "      <td>...</td>\n",
       "      <td>New Wave Pop</td>\n",
       "      <td>7456142-E2B684AF38579A7DCE07F9ABF205E871</td>\n",
       "      <td>Upbeat</td>\n",
       "      <td>Soulful / Easygoing</td>\n",
       "      <td>Upbeat</td>\n",
       "      <td>(0, 2)</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21059 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               artist explicit  \\\n",
       "0                                             Nirvana    False   \n",
       "1      The Presidents Of The United States Of America    False   \n",
       "2                                    Stanton Warriors    False   \n",
       "4                                               Robyn    False   \n",
       "5                                           Pearl Jam    False   \n",
       "6                                            Sam Hunt    False   \n",
       "8                                            Kaya May    False   \n",
       "9                                             Notaker    False   \n",
       "10                                       Thomas Rhett    False   \n",
       "11                                             Kaftan    False   \n",
       "12                                        Kail Baxley    False   \n",
       "14                                            Fat Jon    False   \n",
       "15                                   Tchavolo Schmitt    False   \n",
       "17                                    Aoife O'Donovan    False   \n",
       "18                                  A Day To Remember    False   \n",
       "19                                     Matt Nathanson    False   \n",
       "20                                   Winhill/Losehill    False   \n",
       "21                                      Sound Dreamer    False   \n",
       "22                                     Antoine Brumel    False   \n",
       "23                                       Gustav Holst    False   \n",
       "24                                      Half Moon Run    False   \n",
       "26                             The Chain Gang Of 1974    False   \n",
       "27                                        John Debney    False   \n",
       "28                              Jacques Loussier Trio    False   \n",
       "29                        Kilfenora Fiddle Ceili Band    False   \n",
       "30                                  Chance The Rapper     True   \n",
       "31                                         Neon Trees    False   \n",
       "33                                   Allan Holdsworth    False   \n",
       "34                                  A Great Big World    False   \n",
       "35                                 The Cadillac Three    False   \n",
       "...                                               ...      ...   \n",
       "24533                                        Mountain    False   \n",
       "24534                                   Stevie Wonder    False   \n",
       "24535                                     Rita Marley    False   \n",
       "24537                                 AKDONG MUSICIAN    False   \n",
       "24538                                         Shlohmo    False   \n",
       "24539                                Jake Shimabukuro    False   \n",
       "24540                                        Big Sean     True   \n",
       "24541                                     Amon Amarth    False   \n",
       "24542                                      i said yes    False   \n",
       "24543                                           Hilow    False   \n",
       "24544                                       blink-182    False   \n",
       "24545                                      Lena Horne    False   \n",
       "24546                                    Beegie Adair    False   \n",
       "24547                                 Crystal Antlers    False   \n",
       "24548                                  The Beef Seeds    False   \n",
       "24549                                           Burns    False   \n",
       "24550                             Nothing but Thieves    False   \n",
       "24551                                     Tamela Mann    False   \n",
       "24552                                      Rx Bandits    False   \n",
       "24553                                         Garbage    False   \n",
       "24554                                      Nate Ruess    False   \n",
       "24556                                    Prok & Fitch    False   \n",
       "24557                                      Brown Bird    False   \n",
       "24560                                     Duran Duran    False   \n",
       "24561                                   Vashti Bunyan    False   \n",
       "24562                                   Blake Shelton    False   \n",
       "24563                                            Bent    False   \n",
       "24564                                    Danny Elfman    False   \n",
       "24565                                       Trey Gunn    False   \n",
       "24566                                    Culture Club    False   \n",
       "\n",
       "                           id  popularity  \\\n",
       "0      3FUsMXBxA4V7eUwQ7B0HQO          48   \n",
       "1      2JdzB67NvIa90K4gEZPLeX          58   \n",
       "2      0zXLMZUCYZCx8Bq4jCr174          30   \n",
       "4      01NJd6s7Kyn6NSsPp503sh          28   \n",
       "5      6qgpO647NPBUvBkm56vV7d           5   \n",
       "6      3wx2kQWPn9p5UppQbNhPAk          67   \n",
       "8      4eg3wsiTrPa7KpwVai2VY7          56   \n",
       "9      341ShRaeysVdxLetlI391K          56   \n",
       "10     4vLRCGOBz4zIS8nEHk5v9j          54   \n",
       "11     7fRr8M0BGE3mmf9rjKcjd0          42   \n",
       "12     3zkdaLqbeTXcIyJnMAwA35          32   \n",
       "14     5o6WCwKNByv0py1w1zuKw0          48   \n",
       "15     3jkI4pBId7ZC0b9QOCLPd1          40   \n",
       "17     0SWNotmLvAsYVMQSDJsRk8          53   \n",
       "18     6J7cSyvSCnPwv3vqHchEfL          65   \n",
       "19     38YgZVHPWOWsKrsCXz6JyP          65   \n",
       "20     2PldymZqtssieF3hecUxp8          37   \n",
       "21     2ehTj8yNcjClESRnkkXEws          32   \n",
       "22     6ZLjh6Os8Wh0A5sRXnwPvz          23   \n",
       "23     39NWMAVXWhAlqfGGJb273W          35   \n",
       "24     7soAS9Ksc9H6TdRSBlJlKV          50   \n",
       "26     1hApLa0ZE1mv2Gm6pPg4z9          46   \n",
       "27     1ZRXjiUrYkXLmOBatgpXDE          36   \n",
       "28     2RJQk9M2tXk8HntW9lus5t          30   \n",
       "29     0760mgHmuy6RoYgEYgEaki          25   \n",
       "30     3eze1OsZ1rqeXkKStNfTmi          75   \n",
       "31     0K1KOCeJBj3lpDYxEX9qP2          54   \n",
       "33     5MuakbsE1D8gC7FSGZCd2J          26   \n",
       "34     6Vc5wAMmXdKIAM7WUoEb7N          75   \n",
       "35     63hskc5rKK8TcMidK5HYU7          42   \n",
       "...                       ...         ...   \n",
       "24533  4vO9dmzNRqDhFY3jD1a3P7          58   \n",
       "24534  4dwrL3Z5U2RZ6MZiKE2PgL          65   \n",
       "24535  5X13b4CYce5Y6NYPfmYsXr          53   \n",
       "24537  26USSJB5B6QN2MfIVVNB0A          48   \n",
       "24538  4XEKCTeQFqyThTUGyq2yNS           4   \n",
       "24539  10QXBClm8tvT3uTjAyM2qq          47   \n",
       "24540  4UaWrzY75h1tAvlxa4NKP9          61   \n",
       "24541  3hf590VY3jJzyV6BA7IqCb          50   \n",
       "24542  2rt0HlFcXA8iqIRO7p12nV          16   \n",
       "24543  0JxOchJtqL5kXkF6dGhi2o          49   \n",
       "24544  6XvCgvHzNff98XlI8YGaAp          34   \n",
       "24545  01VUASZ1u1sKjkNnIKdeJa          10   \n",
       "24546  4zRweMHazlqCTUe6GvviYf          53   \n",
       "24547  5WxZ4Y58facPbp4CrVobii          25   \n",
       "24548  0jEaPBjFAWjQTMVouRwaHi          29   \n",
       "24549  2LCpN3J6CA6fA4hJGrwVSi          40   \n",
       "24550  3VOrtLsn6VBoqfcB8BqIU0          53   \n",
       "24551  0Ilr38Vi4bIRwUXASfagRd          49   \n",
       "24552  1yC2n0cfsyIASjIKD0EZ3H          44   \n",
       "24553  0h4fRpHrxBeR3XWHmcolaU          48   \n",
       "24554  1lAnSi0iSTbto9WnRcnyC1          52   \n",
       "24556  3rn9HRGclMdGVwc1yHzdt5          42   \n",
       "24557  5g3vDbjW1S08XRb2AZ1rkV          41   \n",
       "24560  0wokCRaKD0zPNhMRXAgVsr          62   \n",
       "24561  1j4A3xCklwZtGL3wEKnl0r          30   \n",
       "24562  1HwAeValR9dJzAf8Erlv3s          26   \n",
       "24563  4VIIlPZ9yIYiMjwsTywgRd          24   \n",
       "24564  1eZmTjKm5UHf7tcfjbnMOI          39   \n",
       "24565  6B9FlPonSCAQBLqGVCnhoR          14   \n",
       "24566  3XDeeP9wBZzGhIPZmLfEEx          54   \n",
       "\n",
       "                                                   title    energy  liveness  \\\n",
       "0                                              Love Buzz  0.885000    0.1690   \n",
       "1                                                   Lump  0.873000    0.1650   \n",
       "2                                               So Sweet  0.936000    0.1180   \n",
       "4                Be Mine! - Live At The Cherrytree House  0.249000    0.1140   \n",
       "5                                                  Black  0.548000    0.1790   \n",
       "6                                     Leave The Night On  0.953000    0.3490   \n",
       "8      Hands to Myself, Love Yourself, Perfect (Acous...  0.445000    0.1130   \n",
       "9                                               Infinite  0.669000    0.1080   \n",
       "10                                           I Feel Good  0.584000    0.0677   \n",
       "11                                      Romance In Dubai  0.194000    0.7230   \n",
       "12                             Better Feeln' Better Days  0.401000    0.0943   \n",
       "14                                         Feel The Void  0.228000    0.1520   \n",
       "15                                              L'indien  0.420000    0.1080   \n",
       "17                                          Stanley Park  0.556000    0.1040   \n",
       "18                              If It Means a Lot to You  0.536000    0.4560   \n",
       "19                                    Come On Get Higher  0.623000    0.0848   \n",
       "20                                                 Aifos  0.231000    0.1080   \n",
       "21                                   Blue Noise - 1 Hour  0.000513    0.7920   \n",
       "22     Missa Et ecce terrae motus (The Earthquake Mas...  0.249000    0.0499   \n",
       "23     The Planets, Op. 32: II. Venus, the Bringer of...  0.011900    0.1320   \n",
       "24                                        Turn Your Love  0.721000    0.0814   \n",
       "26                                        I Still Wonder  0.735000    0.1050   \n",
       "27                                       The Man Village  0.017700    0.0722   \n",
       "28                       Bach: Goldberg Variations: Aria  0.231000    0.0713   \n",
       "29     Kilfenora Reels: Connemara Stocking - The West...  0.861000    0.1960   \n",
       "30               Juke Jam (feat. Justin Bieber & Towkio)  0.397000    0.0853   \n",
       "31                                Sleeping With A Friend  0.890000    0.3240   \n",
       "33                                         Metal Fatigue  0.595000    0.0300   \n",
       "34                                         Say Something  0.147000    0.0913   \n",
       "35                                        Drunk Like You  0.789000    0.3580   \n",
       "...                                                  ...       ...       ...   \n",
       "24533                                  Mississippi Queen  0.624000    0.0411   \n",
       "24534                                       Superstition  0.751000    0.0418   \n",
       "24535                                           One Draw  0.430000    0.0476   \n",
       "24537                             Time and Fallen Leaves  0.229000    0.1100   \n",
       "24538                                       The Way U Do  0.743000    0.0943   \n",
       "24539                                      I'll Be There  0.160000    0.0933   \n",
       "24540                                          Blessings  0.600000    0.1280   \n",
       "24541                                         First Kill  0.925000    0.0436   \n",
       "24542                                          Follow On  0.421000    0.2120   \n",
       "24543       Fell in Love With You (feat. Cristina Llull)  0.790000    0.3670   \n",
       "24544                              Does My Breath Smell?  0.831000    0.0747   \n",
       "24545                                          Speak Low  0.212000    0.1080   \n",
       "24546                                  Can't Help Loving  0.148000    0.1120   \n",
       "24547                                    Summer Solstice  0.876000    0.2700   \n",
       "24548                                              Happy  0.758000    0.1270   \n",
       "24549                                       Beauty Queen  0.879000    0.4460   \n",
       "24550                                Graveyard Whistling  0.530000    0.1060   \n",
       "24551                                       God Provides  0.375000    0.1150   \n",
       "24552                                         Apparition  0.818000    0.0967   \n",
       "24553                                        Stupid Girl  0.804000    0.0358   \n",
       "24554                               Nothing Without Love  0.730000    0.0652   \n",
       "24556                               Tears - Original Mix  0.836000    0.0381   \n",
       "24557                                Fingers To The Bone  0.491000    0.1390   \n",
       "24560                                     Ordinary World  0.652000    0.1400   \n",
       "24561                                     Winter Is Blue  0.116000    0.1110   \n",
       "24562                                Came Here to Forget  0.664000    0.1100   \n",
       "24563                  As You Fall - Kyau & Albert Remix  0.712000    0.3190   \n",
       "24564                                             Finale  0.087700    0.1110   \n",
       "24565   The Joy of Molybdenum (feat. The Trey Gunn Band)  0.917000    0.1030   \n",
       "24566                                    Karma Chameleon  0.552000    0.2060   \n",
       "\n",
       "         tempo  speechiness  acousticness   ...                      genre_3  \\\n",
       "0      138.153     0.035400      0.000032   ...                       Grunge   \n",
       "1      142.726     0.038600      0.004680   ...              Alternative Pop   \n",
       "2      127.997     0.042500      0.000531   ...                    Breakbeat   \n",
       "4      116.599     0.045100      0.955000   ...              Pop Electronica   \n",
       "5       76.020     0.028700      0.294000   ...                       Grunge   \n",
       "6      171.971     0.062400      0.099600   ...         Contemporary Country   \n",
       "8      110.056     0.050000      0.057500   ...                    Pop Vocal   \n",
       "9       99.987     0.048300      0.093700   ...                   Club Dance   \n",
       "10     106.967     0.036600      0.006580   ...        Adult Alternative Pop   \n",
       "11     123.994     0.034300      0.846000   ...            Classic Folk Rock   \n",
       "12     149.920     0.042300      0.110000   ...      General Mainstream Rock   \n",
       "14     176.037     0.068200      0.312000   ...          General Hip-Hop/Rap   \n",
       "15     112.912     0.046300      0.894000   ...                   Gypsy Jazz   \n",
       "17     145.081     0.033700      0.701000   ...             Alternative Folk   \n",
       "18     126.996     0.027900      0.112000   ...                     Pop Punk   \n",
       "19      92.018     0.029700      0.241000   ...        Adult Alternative Pop   \n",
       "20      99.033     0.029900      0.990000   ...             Alternative Folk   \n",
       "21       0.000     0.087098      0.112000   ...              General New Age   \n",
       "22     130.321     0.040900      0.982000   ...            Renaissance Vocal   \n",
       "23     138.631     0.040100      0.958000   ...      Modern Era Instrumental   \n",
       "24     172.022     0.058900      0.215000   ...           General Indie Rock   \n",
       "26     100.038     0.030000      0.024100   ...              Pop Electronica   \n",
       "27      93.592     0.038200      0.957000   ...           General Film Music   \n",
       "28     131.075     0.044100      0.927000   ...                  Avant Garde   \n",
       "29     115.450     0.076000      0.702000   ...                       Celtic   \n",
       "30      95.063     0.324000      0.716000   ...        Conscious Hip-Hop/Rap   \n",
       "31     107.037     0.036400      0.002040   ...              Alternative Pop   \n",
       "33     109.951     0.060300      0.020900   ...                       Fusion   \n",
       "34     141.284     0.035500      0.857000   ...        Adult Alternative Pop   \n",
       "35     140.081     0.040500      0.224000   ...                Southern Rock   \n",
       "...        ...          ...           ...   ...                          ...   \n",
       "24533  139.720     0.078400      0.097500   ...            Classic Hard Rock   \n",
       "24534  100.437     0.080600      0.018200   ...                 Classic Soul   \n",
       "24535   89.519     0.068000      0.031200   ...                 Roots Reggae   \n",
       "24537   96.898     0.029800      0.830000   ...                        K-Pop   \n",
       "24538  128.011     0.046500      0.389000   ...                    Dancehall   \n",
       "24539   99.573     0.116000      0.973000   ...             World Pop Fusion   \n",
       "24540  118.397     0.395000      0.285000   ...          General Hip-Hop/Rap   \n",
       "24541  189.071     0.054100      0.000008   ...                  Death Metal   \n",
       "24542  119.874     0.043800      0.668000   ...                    Pop Vocal   \n",
       "24543  115.009     0.042600      0.366000   ...            Classic Folk Rock   \n",
       "24544  161.615     0.105000      0.001440   ...                     Pop Punk   \n",
       "24545  105.956     0.038900      0.960000   ...     Classic Female Vocal Pop   \n",
       "24546   63.637     0.032900      0.924000   ...                  Modern Jazz   \n",
       "24547  130.802     0.048700      0.232000   ...              Neo-Psychedelic   \n",
       "24548   86.529     0.160000      0.665000   ...              General Country   \n",
       "24549  126.017     0.205000      0.111000   ...                    Pop Metal   \n",
       "24550  141.954     0.038900      0.097200   ...        Adult Alternative Pop   \n",
       "24551   83.777     0.039800      0.748000   ...          Contemporary Gospel   \n",
       "24552  137.771     0.040400      0.211000   ...                   Modern Ska   \n",
       "24553  120.015     0.033300      0.003360   ...             Alternative Rock   \n",
       "24554   82.058     0.031000      0.087900   ...        Adult Alternative Pop   \n",
       "24556  123.996     0.060300      0.000762   ...                   Tech House   \n",
       "24557  173.605     0.055900      0.349000   ...             Alternative Rock   \n",
       "24560  140.124     0.030500      0.013100   ...                 New Romantic   \n",
       "24561  104.806     0.036100      0.981000   ...            English Folk Rock   \n",
       "24562  130.034     0.028300      0.334000   ...         Contemporary Country   \n",
       "24563  132.768     0.042800      0.000761   ...            General Downtempo   \n",
       "24564  120.930     0.039800      0.979000   ...           General Film Music   \n",
       "24565  122.751     0.058400      0.041500   ...                 Classic Prog   \n",
       "24566   92.056     0.033700      0.214000   ...                 New Wave Pop   \n",
       "\n",
       "                                             gnid         mood_1  \\\n",
       "0        5007273-06983AE0CA94A42592A86F999A523B41       Brooding   \n",
       "1        7176919-C893DAE82E18906A0C45F2D6651DF095     Aggressive   \n",
       "2      542968754-3A3DE9DCC8AACF9DE2F055187073DCA2     Energizing   \n",
       "4      176433014-A2FF98AC415031B8A67464F3DED3BC22       Romantic   \n",
       "5       17527306-1F01011247D0A98978073E66BF4D5597       Brooding   \n",
       "6      459278920-F9806BD4AFF4B5DC038D6D65E70C0B6C       Yearning   \n",
       "8      604743990-4B9A5237E117F5CE9E8506362D53C1D9       Brooding   \n",
       "9      625141650-9A245193045FB288D1785D87C9D94308        Excited   \n",
       "10     559331496-FC21BAF88655CD4311D055262C0E8435     Energizing   \n",
       "11       8956126-CD32DAA6019AC60DA64B3FCF79D7AE6A     Empowering   \n",
       "12     500309215-2D6B8E04D7905795BDCC79ED7A5BB877     Aggressive   \n",
       "14      23529252-2E04380607A27A29C6EFF6B4C68C03FE        Sensual   \n",
       "15      15155886-B6CACCDC1239A0856870C4B1099E6D39  Sophisticated   \n",
       "17     559382054-4ED5801C4947369B58DAD50102BD9DF3     Empowering   \n",
       "18     175221186-1C80FCE0A427847B2207CC678A9D1649     Empowering   \n",
       "19     133248809-EDAF04984236809E7D8D5A977BF8DA55       Yearning   \n",
       "20     495566258-C20338AB82DF404A1ABFC62E80E590AB    Sentimental   \n",
       "21     511396908-80F07A59E07C4E15D2DB74F178EDF324     Aggressive   \n",
       "22     190233350-BD90E7D6255D4601F15D89DD412AAEF9         Somber   \n",
       "23     403401616-A0423E14273A26D29A07CFB5C5A4ED33       Peaceful   \n",
       "24     548664016-EF9030254AE1DF44E7809DDCC4B98BB5       Yearning   \n",
       "26     656622416-9CA71E46B3656785B3CFDB91F233161F     Empowering   \n",
       "27     621625084-6F80480D2AF1CF335DC9F8B40DE492A4       Peaceful   \n",
       "28      11547023-AACBC3FEF3C2505DBDB0FA0C883D0D45         Tender   \n",
       "29     222493127-5F35981284199944B22923B338E8BA79         Upbeat   \n",
       "30     631862845-4BA524D2F56811E86115259A19BA9D00  Sophisticated   \n",
       "31     419533449-48D814B984A9C378BC186A12CE93EA3F        Defiant   \n",
       "33       4452506-0789A9424B7C9136E232E39075EE04E6         Upbeat   \n",
       "34     384362992-F0B28ECC2AE44D3B357D3685FAC84525     Melancholy   \n",
       "35     643499512-ECF857DFB403F2731D625C815376F5E1         Gritty   \n",
       "...                                           ...            ...   \n",
       "24533   40888848-5D397C55C13EEC7873B0A75194C4D960        Excited   \n",
       "24534    4443052-7860FC673B368037AEE41742982D757F     Energizing   \n",
       "24535    7220316-3778D5341CC3CFCCAA585734295952A5           Cool   \n",
       "24537  462593416-EF6B657821565504FD224EB673D6DD17     Empowering   \n",
       "24538   29485678-81513E14036400CBB3CA4E3A6CAA30BD        Sensual   \n",
       "24539  525279910-D88DB547A60B596B45F1459DECE6AD3C     Melancholy   \n",
       "24540  500472424-4933287A5DF870F4C054F572E4B97578           Cool   \n",
       "24541  611713675-386031F3CB42521E9A1490FB901E98FD     Aggressive   \n",
       "24542  323818834-08B53C4F61BDCB5D4B28DD0B52F4E546    Sentimental   \n",
       "24543    4424114-59B2D409A0AD756359794AEBBEAE63D5         Gritty   \n",
       "24544    7453336-FE43012E94C486BE30AB65F15C482393        Excited   \n",
       "24545   36405060-A37EE7C73C5FDC6AC8BED87A49419D44       Romantic   \n",
       "24546   32300409-EB81D499B589DF06F47DE518569636D8    Sentimental   \n",
       "24547  243531496-0ACF90E8CED34CC5944C284B0E41DE7E       Brooding   \n",
       "24548  401644459-47FCFD757B624DAF7288B68283D30075          Fiery   \n",
       "24549   11441470-9E01B8B75869827543989DF92AF05C48     Empowering   \n",
       "24550  561013929-CFABCD34A41644662939AC2C0E794E27  Sophisticated   \n",
       "24551  641085102-F0C3CDDF895AFBE952C20922E2DF05DD  Sophisticated   \n",
       "24552  107843177-CC907F75001C74F3BDE8638973857CD8         Gritty   \n",
       "24553    4910394-26CE49568E14CFA5D2CB5C7A89ACCFFA     Empowering   \n",
       "24554  532458284-6558052330524A59A340D49FAA6FBD1D     Empowering   \n",
       "24556  349228547-D8B95B0AF917A6E296E5C9EB993352BE     Energizing   \n",
       "24557  247719606-17E4BAB4A7B1CD8CA44637306AA5A251  Sophisticated   \n",
       "24560    7302718-2EEFE3D0CC9414B3B5FC8579FE44113B       Yearning   \n",
       "24561   12393950-1C20A6D6D1CAE7F21CA7C9832AF9F42F    Sentimental   \n",
       "24562  630820771-FD595ACE0CFA6FF1877B9A89ED646167       Brooding   \n",
       "24563  265811879-E2C518606C4D4167A6DE06A1640F39EA        Excited   \n",
       "24564   12742567-E90494E46779AA2A8A2DC933328FF263        Serious   \n",
       "24565    9994566-653EBF54BF69F2C8CC0A3434E16BA0E5     Energizing   \n",
       "24566    7456142-E2B684AF38579A7DCE07F9ABF205E871         Upbeat   \n",
       "\n",
       "                       mood_2         mood_1  mood_map  mood_x  mood_y  \\\n",
       "0        Alienated / Brooding       Brooding   (1, -2)       1      -2   \n",
       "1            Aggressive Power     Aggressive   (2, -2)       2      -2   \n",
       "2               Abstract Beat     Energizing    (2, 0)       2       0   \n",
       "4           Heartfelt Passion       Romantic   (-1, 1)      -1       1   \n",
       "5      Evocative / Intriguing       Brooding   (1, -2)       1      -2   \n",
       "6       Sensitive / Exploring       Yearning   (0, -1)       0      -1   \n",
       "8             Dreamy Brooding       Brooding   (1, -2)       1      -2   \n",
       "9             Euphoric Energy        Excited    (2, 2)       2       2   \n",
       "10                Edgy / Sexy     Energizing    (2, 0)       2       0   \n",
       "11            Strong / Stable     Empowering    (0, 1)       0       1   \n",
       "12             Dark Hard Beat     Aggressive   (2, -2)       2      -2   \n",
       "14               Dreamy Pulse        Sensual    (0, 0)       0       0   \n",
       "15               Dark Playful  Sophisticated   (-1, 0)      -1       0   \n",
       "17           Dramatic Emotion     Empowering    (0, 1)       0       1   \n",
       "18          Powerful / Heroic     Empowering    (0, 1)       0       1   \n",
       "19      Sensitive / Exploring       Yearning   (0, -1)       0      -1   \n",
       "20         Gentle Bittersweet    Sentimental   (-2, 0)      -2       0   \n",
       "21          Chaotic / Intense     Aggressive   (2, -2)       2      -2   \n",
       "22         Solemn / Spiritual         Somber  (-2, -2)      -2      -2   \n",
       "23         Reverent / Healing       Peaceful   (-2, 2)      -2       2   \n",
       "24      Sensitive / Exploring       Yearning   (0, -1)       0      -1   \n",
       "26          Powerful / Heroic     Empowering    (0, 1)       0       1   \n",
       "27          Pastoral / Serene       Peaceful   (-2, 2)      -2       2   \n",
       "28         Romantic / Lyrical         Tender   (-2, 1)      -2       1   \n",
       "29               Carefree Pop         Upbeat    (0, 2)       0       2   \n",
       "30             Suave / Sultry  Sophisticated   (-1, 0)      -1       0   \n",
       "31             Heavy Brooding        Defiant   (2, -1)       2      -1   \n",
       "33            Happy / Soulful         Upbeat    (0, 2)       0       2   \n",
       "34          Wistful / Forlorn     Melancholy  (-2, -1)      -2      -1   \n",
       "35         Strumming Yearning         Gritty  (-1, -2)      -1      -2   \n",
       "...                       ...            ...       ...     ...     ...   \n",
       "24533        Loud Celebratory        Excited    (2, 2)       2       2   \n",
       "24534         Arousing Groove     Energizing    (2, 0)       2       0   \n",
       "24535           Casual Groove           Cool  (-1, -1)      -1      -1   \n",
       "24537        Dramatic Emotion     Empowering    (0, 1)       0       1   \n",
       "24538            Soft Soulful        Sensual    (0, 0)       0       0   \n",
       "24539       Wistful / Forlorn     Melancholy  (-2, -1)      -2      -1   \n",
       "24540          Wary / Defiant           Cool  (-1, -1)      -1      -1   \n",
       "24541        Heavy Triumphant     Aggressive   (2, -2)       2      -2   \n",
       "24542      Gentle Bittersweet    Sentimental   (-2, 0)      -2       0   \n",
       "24543        Gritty / Soulful         Gritty  (-1, -2)      -1      -2   \n",
       "24544        Happy Excitement        Excited    (2, 2)       2       2   \n",
       "24545         Lush / Romantic       Romantic   (-1, 1)      -1       1   \n",
       "24546     Lyrical Sentimental    Sentimental   (-2, 0)      -2       0   \n",
       "24547    Energetic Melancholy       Brooding   (1, -2)       1      -2   \n",
       "24548            Fiery Groove          Fiery    (1, 0)       1       0   \n",
       "24549       Powerful / Heroic     Empowering    (0, 1)       0       1   \n",
       "24550        Smoky / Romantic  Sophisticated   (-1, 0)      -1       0   \n",
       "24551        Smoky / Romantic  Sophisticated   (-1, 0)      -1       0   \n",
       "24552      Strumming Yearning         Gritty  (-1, -2)      -1      -2   \n",
       "24553       Powerful / Heroic     Empowering    (0, 1)       0       1   \n",
       "24554       Powerful / Heroic     Empowering    (0, 1)       0       1   \n",
       "24556              Heavy Beat     Energizing    (2, 0)       2       0   \n",
       "24557            Dark Playful  Sophisticated   (-1, 0)      -1       0   \n",
       "24560        Energetic Dreamy       Yearning   (0, -1)       0      -1   \n",
       "24561        Tender / Sincere    Sentimental   (-2, 0)      -2       0   \n",
       "24562         Dreamy Brooding       Brooding   (1, -2)       1      -2   \n",
       "24563         Euphoric Energy        Excited    (2, 2)       2       2   \n",
       "24564               Thrilling        Serious   (0, -2)       0      -2   \n",
       "24565           Abstract Beat     Energizing    (2, 0)       2       0   \n",
       "24566     Soulful / Easygoing         Upbeat    (0, 2)       0       2   \n",
       "\n",
       "      simple_x simple_y  \n",
       "0            1       -1  \n",
       "1            1       -1  \n",
       "2            1        0  \n",
       "4           -1        1  \n",
       "5            1       -1  \n",
       "6            0       -1  \n",
       "8            1       -1  \n",
       "9            1        1  \n",
       "10           1        0  \n",
       "11           0        1  \n",
       "12           1       -1  \n",
       "14           0        0  \n",
       "15          -1        0  \n",
       "17           0        1  \n",
       "18           0        1  \n",
       "19           0       -1  \n",
       "20          -1        0  \n",
       "21           1       -1  \n",
       "22          -1       -1  \n",
       "23          -1        1  \n",
       "24           0       -1  \n",
       "26           0        1  \n",
       "27          -1        1  \n",
       "28          -1        1  \n",
       "29           0        1  \n",
       "30          -1        0  \n",
       "31           1       -1  \n",
       "33           0        1  \n",
       "34          -1       -1  \n",
       "35          -1       -1  \n",
       "...        ...      ...  \n",
       "24533        1        1  \n",
       "24534        1        0  \n",
       "24535       -1       -1  \n",
       "24537        0        1  \n",
       "24538        0        0  \n",
       "24539       -1       -1  \n",
       "24540       -1       -1  \n",
       "24541        1       -1  \n",
       "24542       -1        0  \n",
       "24543       -1       -1  \n",
       "24544        1        1  \n",
       "24545       -1        1  \n",
       "24546       -1        0  \n",
       "24547        1       -1  \n",
       "24548        1        0  \n",
       "24549        0        1  \n",
       "24550       -1        0  \n",
       "24551       -1        0  \n",
       "24552       -1       -1  \n",
       "24553        0        1  \n",
       "24554        0        1  \n",
       "24556        1        0  \n",
       "24557       -1        0  \n",
       "24560        0       -1  \n",
       "24561       -1        0  \n",
       "24562        1       -1  \n",
       "24563        1        1  \n",
       "24564        0       -1  \n",
       "24565        1        0  \n",
       "24566        0        1  \n",
       "\n",
       "[21059 rows x 35 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Master Load Pickle Point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "master_df.to_pickle('data/master_df.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "master_df['mood_predict'] = models['RFC'].predict(master_songs_scaled)\n",
    "master_df['mood_predict_map'] = master_df['mood_predict'].apply(get_mood_map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([          u'artist',         u'explicit',               u'id',\n",
       "             u'popularity',            u'title',           u'energy',\n",
       "               u'liveness',            u'tempo',      u'speechiness',\n",
       "           u'acousticness', u'instrumentalness',   u'time_signature',\n",
       "           u'danceability',              u'key',      u'duration_ms',\n",
       "               u'loudness',          u'valence',             u'mode',\n",
       "           u'artist_era_1',  u'artist_origin_1',  u'artist_origin_2',\n",
       "          u'artist_type_1',    u'artist_type_2',          u'genre_1',\n",
       "                u'genre_2',          u'genre_3',             u'gnid',\n",
       "                 u'mood_1',           u'mood_2',           u'mood_1',\n",
       "               u'mood_map',           u'mood_x',           u'mood_y',\n",
       "               u'simple_x',         u'simple_y',     u'mood_predict',\n",
       "       u'mood_predict_map'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "21059"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(master_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>artist</th>\n",
       "      <th>explicit</th>\n",
       "      <th>id</th>\n",
       "      <th>popularity</th>\n",
       "      <th>title</th>\n",
       "      <th>energy</th>\n",
       "      <th>liveness</th>\n",
       "      <th>tempo</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>...</th>\n",
       "      <th>mood_1</th>\n",
       "      <th>mood_2</th>\n",
       "      <th>mood_1</th>\n",
       "      <th>mood_map</th>\n",
       "      <th>mood_x</th>\n",
       "      <th>mood_y</th>\n",
       "      <th>simple_x</th>\n",
       "      <th>simple_y</th>\n",
       "      <th>mood_predict</th>\n",
       "      <th>mood_predict_map</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Nirvana</td>\n",
       "      <td>False</td>\n",
       "      <td>3FUsMXBxA4V7eUwQ7B0HQO</td>\n",
       "      <td>48</td>\n",
       "      <td>Love Buzz</td>\n",
       "      <td>0.885</td>\n",
       "      <td>0.169</td>\n",
       "      <td>138.153</td>\n",
       "      <td>0.0354</td>\n",
       "      <td>0.000032</td>\n",
       "      <td>...</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>Alienated / Brooding</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>(1, -2)</td>\n",
       "      <td>1</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>(1, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The Presidents Of The United States Of America</td>\n",
       "      <td>False</td>\n",
       "      <td>2JdzB67NvIa90K4gEZPLeX</td>\n",
       "      <td>58</td>\n",
       "      <td>Lump</td>\n",
       "      <td>0.873</td>\n",
       "      <td>0.165</td>\n",
       "      <td>142.726</td>\n",
       "      <td>0.0386</td>\n",
       "      <td>0.004680</td>\n",
       "      <td>...</td>\n",
       "      <td>Aggressive</td>\n",
       "      <td>Aggressive Power</td>\n",
       "      <td>Aggressive</td>\n",
       "      <td>(2, -2)</td>\n",
       "      <td>2</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>Aggressive</td>\n",
       "      <td>(2, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Stanton Warriors</td>\n",
       "      <td>False</td>\n",
       "      <td>0zXLMZUCYZCx8Bq4jCr174</td>\n",
       "      <td>30</td>\n",
       "      <td>So Sweet</td>\n",
       "      <td>0.936</td>\n",
       "      <td>0.118</td>\n",
       "      <td>127.997</td>\n",
       "      <td>0.0425</td>\n",
       "      <td>0.000531</td>\n",
       "      <td>...</td>\n",
       "      <td>Energizing</td>\n",
       "      <td>Abstract Beat</td>\n",
       "      <td>Energizing</td>\n",
       "      <td>(2, 0)</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Excited</td>\n",
       "      <td>(2, 2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Robyn</td>\n",
       "      <td>False</td>\n",
       "      <td>01NJd6s7Kyn6NSsPp503sh</td>\n",
       "      <td>28</td>\n",
       "      <td>Be Mine! - Live At The Cherrytree House</td>\n",
       "      <td>0.249</td>\n",
       "      <td>0.114</td>\n",
       "      <td>116.599</td>\n",
       "      <td>0.0451</td>\n",
       "      <td>0.955000</td>\n",
       "      <td>...</td>\n",
       "      <td>Romantic</td>\n",
       "      <td>Heartfelt Passion</td>\n",
       "      <td>Romantic</td>\n",
       "      <td>(-1, 1)</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "      <td>Romantic</td>\n",
       "      <td>(-1, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Pearl Jam</td>\n",
       "      <td>False</td>\n",
       "      <td>6qgpO647NPBUvBkm56vV7d</td>\n",
       "      <td>5</td>\n",
       "      <td>Black</td>\n",
       "      <td>0.548</td>\n",
       "      <td>0.179</td>\n",
       "      <td>76.020</td>\n",
       "      <td>0.0287</td>\n",
       "      <td>0.294000</td>\n",
       "      <td>...</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>Evocative / Intriguing</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>(1, -2)</td>\n",
       "      <td>1</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>Brooding</td>\n",
       "      <td>(1, -2)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           artist explicit  \\\n",
       "0                                         Nirvana    False   \n",
       "1  The Presidents Of The United States Of America    False   \n",
       "2                                Stanton Warriors    False   \n",
       "4                                           Robyn    False   \n",
       "5                                       Pearl Jam    False   \n",
       "\n",
       "                       id  popularity  \\\n",
       "0  3FUsMXBxA4V7eUwQ7B0HQO          48   \n",
       "1  2JdzB67NvIa90K4gEZPLeX          58   \n",
       "2  0zXLMZUCYZCx8Bq4jCr174          30   \n",
       "4  01NJd6s7Kyn6NSsPp503sh          28   \n",
       "5  6qgpO647NPBUvBkm56vV7d           5   \n",
       "\n",
       "                                     title  energy  liveness    tempo  \\\n",
       "0                                Love Buzz   0.885     0.169  138.153   \n",
       "1                                     Lump   0.873     0.165  142.726   \n",
       "2                                 So Sweet   0.936     0.118  127.997   \n",
       "4  Be Mine! - Live At The Cherrytree House   0.249     0.114  116.599   \n",
       "5                                    Black   0.548     0.179   76.020   \n",
       "\n",
       "   speechiness  acousticness       ...             mood_1  \\\n",
       "0       0.0354      0.000032       ...           Brooding   \n",
       "1       0.0386      0.004680       ...         Aggressive   \n",
       "2       0.0425      0.000531       ...         Energizing   \n",
       "4       0.0451      0.955000       ...           Romantic   \n",
       "5       0.0287      0.294000       ...           Brooding   \n",
       "\n",
       "                   mood_2      mood_1  mood_map  mood_x  mood_y  simple_x  \\\n",
       "0    Alienated / Brooding    Brooding   (1, -2)       1      -2         1   \n",
       "1        Aggressive Power  Aggressive   (2, -2)       2      -2         1   \n",
       "2           Abstract Beat  Energizing    (2, 0)       2       0         1   \n",
       "4       Heartfelt Passion    Romantic   (-1, 1)      -1       1        -1   \n",
       "5  Evocative / Intriguing    Brooding   (1, -2)       1      -2         1   \n",
       "\n",
       "   simple_y mood_predict mood_predict_map  \n",
       "0        -1     Brooding          (1, -2)  \n",
       "1        -1   Aggressive          (2, -2)  \n",
       "2         0      Excited           (2, 2)  \n",
       "4         1     Romantic          (-1, 1)  \n",
       "5        -1     Brooding          (1, -2)  \n",
       "\n",
       "[5 rows x 37 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "master_df.to_pickle('data/master_df.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "master_df = pd.read_pickle('data/master_df.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Setting up tokens, authorizations and processes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Setting up tokens and authorization - hidden for github, use own tokens\n",
    "\n",
    "# Spotify\n",
    "token = util.prompt_for_user_token(<INSERT SPOTIFY USERNAME>,\n",
    "                                   client_id=<INSERT SPOTIFY CLIENT ID>,\n",
    "                                   client_secret=<INSERT SPOTIFY CLIENT SECRET>,\n",
    "                                   redirect_uri=<INSERT REDIRECT URI>)\n",
    "\n",
    "spotify = spotipy.Spotify(auth=token)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# get categories \n",
    "def get_categories():\n",
    "    category_ids = []\n",
    "    for i in spotify.categories(limit = 50)['categories']['items']:\n",
    "        category_ids.append(i.get('id'))\n",
    "    return category_ids\n",
    "\n",
    "# get playlists from list of categories\n",
    "def get_playlists(categories):\n",
    "    playlist_ids = []\n",
    "    for i in categories:\n",
    "        for j in spotify.category_playlists(i, limit = 50)['playlists']['items']:\n",
    "            playlist_ids.append(j.get('id'))\n",
    "    return playlist_ids\n",
    "\n",
    "# get song ids from list of playlist ids\n",
    "def get_songs(playlists):\n",
    "    song_ids = []\n",
    "    for i in playlists:\n",
    "        try:\n",
    "            for j in spotify.user_playlist('spotify', i)['tracks']['items']:\n",
    "                song_ids.append(j['track']['id'])\n",
    "        except:\n",
    "            pass\n",
    "        time.sleep(.1)\n",
    "    return song_ids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "songs = pd.DataFrame(get_songs(['6CRNGyV2hoQDyYpUPjHrkz']), columns = ['id']) # top classical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "features_add = spotify.audio_features(tracks=songs['id'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>acousticness</th>\n",
       "      <th>analysis_url</th>\n",
       "      <th>danceability</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>energy</th>\n",
       "      <th>id</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>key</th>\n",
       "      <th>liveness</th>\n",
       "      <th>loudness</th>\n",
       "      <th>mode</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>tempo</th>\n",
       "      <th>time_signature</th>\n",
       "      <th>track_href</th>\n",
       "      <th>type</th>\n",
       "      <th>uri</th>\n",
       "      <th>valence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.930</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/6ccQ...</td>\n",
       "      <td>0.2160</td>\n",
       "      <td>583507</td>\n",
       "      <td>0.15900</td>\n",
       "      <td>6ccQicHql4thkQlz6XjnvO</td>\n",
       "      <td>0.840000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0714</td>\n",
       "      <td>-23.564</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0406</td>\n",
       "      <td>66.374</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/6ccQicHql4th...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:6ccQicHql4thkQlz6XjnvO</td>\n",
       "      <td>0.0689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.986</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/6x0u...</td>\n",
       "      <td>0.2330</td>\n",
       "      <td>190467</td>\n",
       "      <td>0.11500</td>\n",
       "      <td>6x0uKyMtSfIBy07uxUrwCI</td>\n",
       "      <td>0.021800</td>\n",
       "      <td>9</td>\n",
       "      <td>0.0807</td>\n",
       "      <td>-23.004</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0467</td>\n",
       "      <td>103.432</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/6x0uKyMtSfIB...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:6x0uKyMtSfIBy07uxUrwCI</td>\n",
       "      <td>0.1070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.949</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/76bz...</td>\n",
       "      <td>0.1600</td>\n",
       "      <td>481533</td>\n",
       "      <td>0.09620</td>\n",
       "      <td>76bzcAMft1MGxK5BCjmA0T</td>\n",
       "      <td>0.216000</td>\n",
       "      <td>4</td>\n",
       "      <td>0.1180</td>\n",
       "      <td>-22.844</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0425</td>\n",
       "      <td>91.464</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/76bzcAMft1MG...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:76bzcAMft1MGxK5BCjmA0T</td>\n",
       "      <td>0.0400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.831</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/5LEM...</td>\n",
       "      <td>0.0834</td>\n",
       "      <td>635667</td>\n",
       "      <td>0.09250</td>\n",
       "      <td>5LEMayTRgRgJQeiUcxmtxj</td>\n",
       "      <td>0.766000</td>\n",
       "      <td>4</td>\n",
       "      <td>0.1370</td>\n",
       "      <td>-22.133</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0469</td>\n",
       "      <td>84.829</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/5LEMayTRgRgJ...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:5LEMayTRgRgJQeiUcxmtxj</td>\n",
       "      <td>0.0292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.963</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/4D8D...</td>\n",
       "      <td>0.2570</td>\n",
       "      <td>124693</td>\n",
       "      <td>0.01190</td>\n",
       "      <td>4D8DlZaKynq3RMqTRmuTZz</td>\n",
       "      <td>0.972000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0654</td>\n",
       "      <td>-45.869</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0410</td>\n",
       "      <td>72.494</td>\n",
       "      <td>5</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/4D8DlZaKynq3...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:4D8DlZaKynq3RMqTRmuTZz</td>\n",
       "      <td>0.0608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.989</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/2lLH...</td>\n",
       "      <td>0.4290</td>\n",
       "      <td>131107</td>\n",
       "      <td>0.01760</td>\n",
       "      <td>2lLH2FnXd4v88lPrE2yu8z</td>\n",
       "      <td>0.644000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0817</td>\n",
       "      <td>-37.656</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0756</td>\n",
       "      <td>66.894</td>\n",
       "      <td>3</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/2lLH2FnXd4v8...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:2lLH2FnXd4v88lPrE2yu8z</td>\n",
       "      <td>0.1280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.978</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/3pzB...</td>\n",
       "      <td>0.3640</td>\n",
       "      <td>275467</td>\n",
       "      <td>0.05920</td>\n",
       "      <td>3pzBD8BVdrv7VJ7glRYshl</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0823</td>\n",
       "      <td>-21.757</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0570</td>\n",
       "      <td>123.789</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/3pzBD8BVdrv7...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:3pzBD8BVdrv7VJ7glRYshl</td>\n",
       "      <td>0.1820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.935</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/5WLm...</td>\n",
       "      <td>0.1970</td>\n",
       "      <td>1294333</td>\n",
       "      <td>0.15100</td>\n",
       "      <td>5WLmG3A9HqpN75iultYhRC</td>\n",
       "      <td>0.775000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0999</td>\n",
       "      <td>-19.168</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0409</td>\n",
       "      <td>93.836</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/5WLmG3A9HqpN...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:5WLmG3A9HqpN75iultYhRC</td>\n",
       "      <td>0.0384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.990</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/0yCL...</td>\n",
       "      <td>0.3210</td>\n",
       "      <td>259640</td>\n",
       "      <td>0.23200</td>\n",
       "      <td>0yCLPAYOG8mpM3hRiuMYZe</td>\n",
       "      <td>0.896000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1100</td>\n",
       "      <td>-19.560</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0543</td>\n",
       "      <td>129.650</td>\n",
       "      <td>3</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/0yCLPAYOG8mp...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:0yCLPAYOG8mpM3hRiuMYZe</td>\n",
       "      <td>0.3340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.967</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/4FZH...</td>\n",
       "      <td>0.3130</td>\n",
       "      <td>971000</td>\n",
       "      <td>0.09870</td>\n",
       "      <td>4FZHl2DB6qpkDtATnUKbEQ</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0856</td>\n",
       "      <td>-19.868</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0375</td>\n",
       "      <td>141.162</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/4FZHl2DB6qpk...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:4FZHl2DB6qpkDtATnUKbEQ</td>\n",
       "      <td>0.1160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.986</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/7e3e...</td>\n",
       "      <td>0.2990</td>\n",
       "      <td>238547</td>\n",
       "      <td>0.06080</td>\n",
       "      <td>7e3ehXyswEYb6TyL2JAep7</td>\n",
       "      <td>0.331000</td>\n",
       "      <td>2</td>\n",
       "      <td>0.2060</td>\n",
       "      <td>-19.161</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0444</td>\n",
       "      <td>123.230</td>\n",
       "      <td>3</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/7e3ehXyswEYb...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:7e3ehXyswEYb6TyL2JAep7</td>\n",
       "      <td>0.1820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.995</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/4N2b...</td>\n",
       "      <td>0.3090</td>\n",
       "      <td>276987</td>\n",
       "      <td>0.05380</td>\n",
       "      <td>4N2bzWDcBvP3qilKjCePsC</td>\n",
       "      <td>0.875000</td>\n",
       "      <td>3</td>\n",
       "      <td>0.1140</td>\n",
       "      <td>-25.352</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0360</td>\n",
       "      <td>82.779</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/4N2bzWDcBvP3...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:4N2bzWDcBvP3qilKjCePsC</td>\n",
       "      <td>0.0987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.845</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/0ee9...</td>\n",
       "      <td>0.0863</td>\n",
       "      <td>1536000</td>\n",
       "      <td>0.04580</td>\n",
       "      <td>0ee95xpQsM0WyY1Lus7mgf</td>\n",
       "      <td>0.606000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0994</td>\n",
       "      <td>-20.130</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0401</td>\n",
       "      <td>66.271</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/0ee95xpQsM0W...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:0ee95xpQsM0WyY1Lus7mgf</td>\n",
       "      <td>0.0362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.963</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/4z6P...</td>\n",
       "      <td>0.3400</td>\n",
       "      <td>554427</td>\n",
       "      <td>0.13000</td>\n",
       "      <td>4z6P9Xk95gGUYBMyKbMTYa</td>\n",
       "      <td>0.180000</td>\n",
       "      <td>10</td>\n",
       "      <td>0.6960</td>\n",
       "      <td>-20.542</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0418</td>\n",
       "      <td>137.241</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/4z6P9Xk95gGU...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:4z6P9Xk95gGUYBMyKbMTYa</td>\n",
       "      <td>0.2100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.974</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/45mj...</td>\n",
       "      <td>0.2160</td>\n",
       "      <td>646920</td>\n",
       "      <td>0.13000</td>\n",
       "      <td>45mjFbSt8s3ZiB1JBT0Gbc</td>\n",
       "      <td>0.861000</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0873</td>\n",
       "      <td>-19.032</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0369</td>\n",
       "      <td>111.289</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/45mjFbSt8s3Z...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:45mjFbSt8s3ZiB1JBT0Gbc</td>\n",
       "      <td>0.0598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.928</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/0sCp...</td>\n",
       "      <td>0.2410</td>\n",
       "      <td>627880</td>\n",
       "      <td>0.12200</td>\n",
       "      <td>0sCpTyf12lPqcH6Iozml3V</td>\n",
       "      <td>0.388000</td>\n",
       "      <td>5</td>\n",
       "      <td>0.1010</td>\n",
       "      <td>-15.189</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0363</td>\n",
       "      <td>77.189</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/0sCpTyf12lPq...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:0sCpTyf12lPqcH6Iozml3V</td>\n",
       "      <td>0.2270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.993</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/0FHP...</td>\n",
       "      <td>0.3150</td>\n",
       "      <td>681253</td>\n",
       "      <td>0.03600</td>\n",
       "      <td>0FHPLHDltdFz8CxMdzH51G</td>\n",
       "      <td>0.915000</td>\n",
       "      <td>11</td>\n",
       "      <td>0.1620</td>\n",
       "      <td>-26.406</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0354</td>\n",
       "      <td>102.883</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/0FHPLHDltdFz...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:0FHPLHDltdFz8CxMdzH51G</td>\n",
       "      <td>0.0725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.902</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/15Qw...</td>\n",
       "      <td>0.1940</td>\n",
       "      <td>246560</td>\n",
       "      <td>0.01580</td>\n",
       "      <td>15QwfIQCT3g8tbbQmwuDuL</td>\n",
       "      <td>0.188000</td>\n",
       "      <td>7</td>\n",
       "      <td>0.0722</td>\n",
       "      <td>-30.015</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0548</td>\n",
       "      <td>89.632</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/15QwfIQCT3g8...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:15QwfIQCT3g8tbbQmwuDuL</td>\n",
       "      <td>0.0330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.893</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/0FNO...</td>\n",
       "      <td>0.1070</td>\n",
       "      <td>813720</td>\n",
       "      <td>0.16400</td>\n",
       "      <td>0FNOaHYOyUWhtezXTEBdIv</td>\n",
       "      <td>0.926000</td>\n",
       "      <td>10</td>\n",
       "      <td>0.1160</td>\n",
       "      <td>-20.572</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0358</td>\n",
       "      <td>88.161</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/0FNOaHYOyUWh...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:0FNOaHYOyUWhtezXTEBdIv</td>\n",
       "      <td>0.0475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.891</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/1W0B...</td>\n",
       "      <td>0.0683</td>\n",
       "      <td>522173</td>\n",
       "      <td>0.01540</td>\n",
       "      <td>1W0BCP0QVZxAJjjQ1HHhcH</td>\n",
       "      <td>0.562000</td>\n",
       "      <td>6</td>\n",
       "      <td>0.0372</td>\n",
       "      <td>-28.844</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0421</td>\n",
       "      <td>74.732</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/1W0BCP0QVZxA...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:1W0BCP0QVZxAJjjQ1HHhcH</td>\n",
       "      <td>0.0347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.988</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/2Mns...</td>\n",
       "      <td>0.4050</td>\n",
       "      <td>104253</td>\n",
       "      <td>0.14600</td>\n",
       "      <td>2Mnsi63lWH6rCJKILXDvHy</td>\n",
       "      <td>0.880000</td>\n",
       "      <td>7</td>\n",
       "      <td>0.1030</td>\n",
       "      <td>-29.629</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0351</td>\n",
       "      <td>139.109</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/2Mnsi63lWH6r...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:2Mnsi63lWH6rCJKILXDvHy</td>\n",
       "      <td>0.6940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.935</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/4KMa...</td>\n",
       "      <td>0.1040</td>\n",
       "      <td>606973</td>\n",
       "      <td>0.12100</td>\n",
       "      <td>4KMaKmcuQm2E4Pe2jXuV71</td>\n",
       "      <td>0.843000</td>\n",
       "      <td>2</td>\n",
       "      <td>0.1200</td>\n",
       "      <td>-17.071</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0380</td>\n",
       "      <td>165.710</td>\n",
       "      <td>5</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/4KMaKmcuQm2E...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:4KMaKmcuQm2E4Pe2jXuV71</td>\n",
       "      <td>0.0419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.993</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/6UhN...</td>\n",
       "      <td>0.3480</td>\n",
       "      <td>409066</td>\n",
       "      <td>0.10800</td>\n",
       "      <td>6UhNE1pgqilPcs7zfrCPHR</td>\n",
       "      <td>0.897000</td>\n",
       "      <td>9</td>\n",
       "      <td>0.1200</td>\n",
       "      <td>-21.731</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0395</td>\n",
       "      <td>66.378</td>\n",
       "      <td>3</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/6UhNE1pgqilP...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:6UhNE1pgqilPcs7zfrCPHR</td>\n",
       "      <td>0.1310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.963</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/1laj...</td>\n",
       "      <td>0.1750</td>\n",
       "      <td>177333</td>\n",
       "      <td>0.30300</td>\n",
       "      <td>1lajT6h1lRPMgSghJTm0py</td>\n",
       "      <td>0.003750</td>\n",
       "      <td>2</td>\n",
       "      <td>0.1030</td>\n",
       "      <td>-12.132</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0413</td>\n",
       "      <td>90.595</td>\n",
       "      <td>1</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/1lajT6h1lRPM...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:1lajT6h1lRPMgSghJTm0py</td>\n",
       "      <td>0.0886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.940</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/1z1s...</td>\n",
       "      <td>0.3300</td>\n",
       "      <td>432813</td>\n",
       "      <td>0.26900</td>\n",
       "      <td>1z1s5gpvZObZkejelunFu5</td>\n",
       "      <td>0.926000</td>\n",
       "      <td>7</td>\n",
       "      <td>0.0858</td>\n",
       "      <td>-15.337</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0424</td>\n",
       "      <td>116.735</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/1z1s5gpvZObZ...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:1z1s5gpvZObZkejelunFu5</td>\n",
       "      <td>0.2120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.996</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/0OSs...</td>\n",
       "      <td>0.3730</td>\n",
       "      <td>191267</td>\n",
       "      <td>0.00667</td>\n",
       "      <td>0OSsW1WNdjjaLOr3wyglmX</td>\n",
       "      <td>0.914000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0735</td>\n",
       "      <td>-38.702</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0409</td>\n",
       "      <td>68.123</td>\n",
       "      <td>3</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/0OSsW1WNdjja...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:0OSsW1WNdjjaLOr3wyglmX</td>\n",
       "      <td>0.2280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.953</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/7CSQ...</td>\n",
       "      <td>0.3190</td>\n",
       "      <td>614667</td>\n",
       "      <td>0.07930</td>\n",
       "      <td>7CSQ8tSIXavuSDMgthBvHI</td>\n",
       "      <td>0.934000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2270</td>\n",
       "      <td>-22.256</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0400</td>\n",
       "      <td>156.027</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/7CSQ8tSIXavu...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:7CSQ8tSIXavuSDMgthBvHI</td>\n",
       "      <td>0.0853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.796</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/2Abf...</td>\n",
       "      <td>0.4440</td>\n",
       "      <td>193933</td>\n",
       "      <td>0.13200</td>\n",
       "      <td>2AbfrHJQ0u3q4LukoIjyIw</td>\n",
       "      <td>0.770000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1130</td>\n",
       "      <td>-21.614</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0394</td>\n",
       "      <td>129.443</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/2AbfrHJQ0u3q...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:2AbfrHJQ0u3q4LukoIjyIw</td>\n",
       "      <td>0.1830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.980</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/46Ma...</td>\n",
       "      <td>0.3260</td>\n",
       "      <td>661800</td>\n",
       "      <td>0.08040</td>\n",
       "      <td>46MazE6sbjUtLO1qMEorga</td>\n",
       "      <td>0.897000</td>\n",
       "      <td>7</td>\n",
       "      <td>0.1290</td>\n",
       "      <td>-24.037</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0331</td>\n",
       "      <td>129.954</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/46MazE6sbjUt...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:46MazE6sbjUtLO1qMEorga</td>\n",
       "      <td>0.0447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.985</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/1BeN...</td>\n",
       "      <td>0.3260</td>\n",
       "      <td>740560</td>\n",
       "      <td>0.12300</td>\n",
       "      <td>1BeNBCYGOGcuwLCDPnAoVE</td>\n",
       "      <td>0.258000</td>\n",
       "      <td>9</td>\n",
       "      <td>0.2910</td>\n",
       "      <td>-20.060</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0422</td>\n",
       "      <td>128.799</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/1BeNBCYGOGcu...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:1BeNBCYGOGcuwLCDPnAoVE</td>\n",
       "      <td>0.1810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.959</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/7cJv...</td>\n",
       "      <td>0.1960</td>\n",
       "      <td>449173</td>\n",
       "      <td>0.03950</td>\n",
       "      <td>7cJvXmBOGUVqtDFM051YVr</td>\n",
       "      <td>0.863000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0564</td>\n",
       "      <td>-25.813</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0397</td>\n",
       "      <td>74.221</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/7cJvXmBOGUVq...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:7cJvXmBOGUVqtDFM051YVr</td>\n",
       "      <td>0.0361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0.988</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/7h6G...</td>\n",
       "      <td>0.2330</td>\n",
       "      <td>475267</td>\n",
       "      <td>0.06960</td>\n",
       "      <td>7h6G2SQCnIdsVfp2I39qMl</td>\n",
       "      <td>0.814000</td>\n",
       "      <td>9</td>\n",
       "      <td>0.1130</td>\n",
       "      <td>-20.904</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0423</td>\n",
       "      <td>62.718</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/7h6G2SQCnIds...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:7h6G2SQCnIdsVfp2I39qMl</td>\n",
       "      <td>0.0582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.993</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/3XwJ...</td>\n",
       "      <td>0.2200</td>\n",
       "      <td>210373</td>\n",
       "      <td>0.11200</td>\n",
       "      <td>3XwJjvwpwLc8Epy4jhNlty</td>\n",
       "      <td>0.508000</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0809</td>\n",
       "      <td>-21.352</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0489</td>\n",
       "      <td>132.259</td>\n",
       "      <td>3</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/3XwJjvwpwLc8...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:3XwJjvwpwLc8Epy4jhNlty</td>\n",
       "      <td>0.0424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>0.990</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/3Bhr...</td>\n",
       "      <td>0.2170</td>\n",
       "      <td>257533</td>\n",
       "      <td>0.02610</td>\n",
       "      <td>3Bhr1K8Z8q7QDxejY5pXkj</td>\n",
       "      <td>0.690000</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0811</td>\n",
       "      <td>-28.024</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0380</td>\n",
       "      <td>131.062</td>\n",
       "      <td>3</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/3Bhr1K8Z8q7Q...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:3Bhr1K8Z8q7QDxejY5pXkj</td>\n",
       "      <td>0.0674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>0.983</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/4ycO...</td>\n",
       "      <td>0.0623</td>\n",
       "      <td>704500</td>\n",
       "      <td>0.06680</td>\n",
       "      <td>4ycOhwiOUclptLgYylmwiM</td>\n",
       "      <td>0.454000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1100</td>\n",
       "      <td>-24.673</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0459</td>\n",
       "      <td>65.939</td>\n",
       "      <td>3</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/4ycOhwiOUclp...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:4ycOhwiOUclptLgYylmwiM</td>\n",
       "      <td>0.0350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>0.936</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/7inC...</td>\n",
       "      <td>0.1880</td>\n",
       "      <td>822573</td>\n",
       "      <td>0.12800</td>\n",
       "      <td>7inCnv3kYyhThRVwBOKVw3</td>\n",
       "      <td>0.787000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0841</td>\n",
       "      <td>-16.892</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0503</td>\n",
       "      <td>77.529</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/7inCnv3kYyhT...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:7inCnv3kYyhThRVwBOKVw3</td>\n",
       "      <td>0.1200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>0.995</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/2Klk...</td>\n",
       "      <td>0.3120</td>\n",
       "      <td>120920</td>\n",
       "      <td>0.00870</td>\n",
       "      <td>2Klk8eFPUZ1LYm4gkCArox</td>\n",
       "      <td>0.893000</td>\n",
       "      <td>5</td>\n",
       "      <td>0.1100</td>\n",
       "      <td>-35.430</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0443</td>\n",
       "      <td>89.080</td>\n",
       "      <td>3</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/2Klk8eFPUZ1L...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:2Klk8eFPUZ1LYm4gkCArox</td>\n",
       "      <td>0.0854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>0.860</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/2AEq...</td>\n",
       "      <td>0.0739</td>\n",
       "      <td>571093</td>\n",
       "      <td>0.03750</td>\n",
       "      <td>2AEqHRdDbQGzPh260GbL3r</td>\n",
       "      <td>0.578000</td>\n",
       "      <td>2</td>\n",
       "      <td>0.1080</td>\n",
       "      <td>-28.172</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0457</td>\n",
       "      <td>65.371</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/2AEqHRdDbQGz...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:2AEqHRdDbQGzPh260GbL3r</td>\n",
       "      <td>0.0400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>0.993</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/53GW...</td>\n",
       "      <td>0.2450</td>\n",
       "      <td>157205</td>\n",
       "      <td>0.05410</td>\n",
       "      <td>53GWWctcTS7QlIlGmlXN6I</td>\n",
       "      <td>0.882000</td>\n",
       "      <td>7</td>\n",
       "      <td>0.1240</td>\n",
       "      <td>-25.140</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0422</td>\n",
       "      <td>63.767</td>\n",
       "      <td>3</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/53GWWctcTS7Q...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:53GWWctcTS7QlIlGmlXN6I</td>\n",
       "      <td>0.1100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>0.918</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/1TxM...</td>\n",
       "      <td>0.1610</td>\n",
       "      <td>289293</td>\n",
       "      <td>0.07190</td>\n",
       "      <td>1TxMXKi4WKNkYVOpMgdfqt</td>\n",
       "      <td>0.653000</td>\n",
       "      <td>7</td>\n",
       "      <td>0.1480</td>\n",
       "      <td>-21.875</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0389</td>\n",
       "      <td>86.901</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/1TxMXKi4WKNk...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:1TxMXKi4WKNkYVOpMgdfqt</td>\n",
       "      <td>0.0393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>0.989</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/74rU...</td>\n",
       "      <td>0.2260</td>\n",
       "      <td>661800</td>\n",
       "      <td>0.05510</td>\n",
       "      <td>74rU4zZvCv7nJJTT2kFuNF</td>\n",
       "      <td>0.385000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1730</td>\n",
       "      <td>-21.710</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0470</td>\n",
       "      <td>144.856</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/74rU4zZvCv7n...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:74rU4zZvCv7nJJTT2kFuNF</td>\n",
       "      <td>0.0980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>0.988</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/3B34...</td>\n",
       "      <td>0.4390</td>\n",
       "      <td>112267</td>\n",
       "      <td>0.04290</td>\n",
       "      <td>3B34V2wUHuEBmOn3Ab9eC9</td>\n",
       "      <td>0.903000</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0949</td>\n",
       "      <td>-26.132</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0340</td>\n",
       "      <td>127.541</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/3B34V2wUHuEB...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:3B34V2wUHuEBmOn3Ab9eC9</td>\n",
       "      <td>0.4740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>0.967</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/58XD...</td>\n",
       "      <td>0.2660</td>\n",
       "      <td>218267</td>\n",
       "      <td>0.24700</td>\n",
       "      <td>58XDnPgpSfo7eYlJPEiI7Q</td>\n",
       "      <td>0.583000</td>\n",
       "      <td>11</td>\n",
       "      <td>0.2560</td>\n",
       "      <td>-16.207</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0431</td>\n",
       "      <td>108.167</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/58XDnPgpSfo7...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:58XDnPgpSfo7eYlJPEiI7Q</td>\n",
       "      <td>0.0694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>0.988</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/0o0p...</td>\n",
       "      <td>0.1890</td>\n",
       "      <td>265760</td>\n",
       "      <td>0.11400</td>\n",
       "      <td>0o0pQcnYkgVZqOpysTAzl9</td>\n",
       "      <td>0.000786</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1700</td>\n",
       "      <td>-23.119</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0565</td>\n",
       "      <td>73.602</td>\n",
       "      <td>1</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/0o0pQcnYkgVZ...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:0o0pQcnYkgVZqOpysTAzl9</td>\n",
       "      <td>0.0395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>0.972</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/7v62...</td>\n",
       "      <td>0.2620</td>\n",
       "      <td>444026</td>\n",
       "      <td>0.07040</td>\n",
       "      <td>7v626rMDW95VngI3q1iIbF</td>\n",
       "      <td>0.908000</td>\n",
       "      <td>5</td>\n",
       "      <td>0.2040</td>\n",
       "      <td>-24.218</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0363</td>\n",
       "      <td>88.200</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/7v626rMDW95V...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:7v626rMDW95VngI3q1iIbF</td>\n",
       "      <td>0.1230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>0.984</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/4HGu...</td>\n",
       "      <td>0.2780</td>\n",
       "      <td>681933</td>\n",
       "      <td>0.05160</td>\n",
       "      <td>4HGuzZAtZ1ACtTyUfH5TRr</td>\n",
       "      <td>0.905000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1020</td>\n",
       "      <td>-24.272</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0426</td>\n",
       "      <td>117.894</td>\n",
       "      <td>3</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/4HGuzZAtZ1AC...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:4HGuzZAtZ1ACtTyUfH5TRr</td>\n",
       "      <td>0.0849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>0.823</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/02VD...</td>\n",
       "      <td>0.2540</td>\n",
       "      <td>1055266</td>\n",
       "      <td>0.17700</td>\n",
       "      <td>02VDDglKhZ2Y88qjX9vENr</td>\n",
       "      <td>0.919000</td>\n",
       "      <td>7</td>\n",
       "      <td>0.2270</td>\n",
       "      <td>-20.635</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0382</td>\n",
       "      <td>95.767</td>\n",
       "      <td>3</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/02VDDglKhZ2Y...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:02VDDglKhZ2Y88qjX9vENr</td>\n",
       "      <td>0.0753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>0.994</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/3KSy...</td>\n",
       "      <td>0.4670</td>\n",
       "      <td>91754</td>\n",
       "      <td>0.00906</td>\n",
       "      <td>3KSyPvRv3gRXzT4CkfLMdk</td>\n",
       "      <td>0.911000</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0958</td>\n",
       "      <td>-32.096</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0841</td>\n",
       "      <td>129.307</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/3KSyPvRv3gRX...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:3KSyPvRv3gRXzT4CkfLMdk</td>\n",
       "      <td>0.2610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>0.984</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/0ycN...</td>\n",
       "      <td>0.3360</td>\n",
       "      <td>1000627</td>\n",
       "      <td>0.07390</td>\n",
       "      <td>0ycN1rmJND2Bsm73oC6O0j</td>\n",
       "      <td>0.862000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0802</td>\n",
       "      <td>-20.821</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0373</td>\n",
       "      <td>140.054</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/0ycN1rmJND2B...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:0ycN1rmJND2Bsm73oC6O0j</td>\n",
       "      <td>0.0837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>0.995</td>\n",
       "      <td>https://api.spotify.com/v1/audio-analysis/4Hzo...</td>\n",
       "      <td>0.3970</td>\n",
       "      <td>90800</td>\n",
       "      <td>0.00699</td>\n",
       "      <td>4Hzok2BRQl1SGHHbMLJTuH</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>11</td>\n",
       "      <td>0.0963</td>\n",
       "      <td>-34.971</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0656</td>\n",
       "      <td>66.826</td>\n",
       "      <td>4</td>\n",
       "      <td>https://api.spotify.com/v1/tracks/4Hzok2BRQl1S...</td>\n",
       "      <td>audio_features</td>\n",
       "      <td>spotify:track:4Hzok2BRQl1SGHHbMLJTuH</td>\n",
       "      <td>0.0765</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    acousticness                                       analysis_url  \\\n",
       "0          0.930  https://api.spotify.com/v1/audio-analysis/6ccQ...   \n",
       "1          0.986  https://api.spotify.com/v1/audio-analysis/6x0u...   \n",
       "2          0.949  https://api.spotify.com/v1/audio-analysis/76bz...   \n",
       "3          0.831  https://api.spotify.com/v1/audio-analysis/5LEM...   \n",
       "4          0.963  https://api.spotify.com/v1/audio-analysis/4D8D...   \n",
       "5          0.989  https://api.spotify.com/v1/audio-analysis/2lLH...   \n",
       "6          0.978  https://api.spotify.com/v1/audio-analysis/3pzB...   \n",
       "7          0.935  https://api.spotify.com/v1/audio-analysis/5WLm...   \n",
       "8          0.990  https://api.spotify.com/v1/audio-analysis/0yCL...   \n",
       "9          0.967  https://api.spotify.com/v1/audio-analysis/4FZH...   \n",
       "10         0.986  https://api.spotify.com/v1/audio-analysis/7e3e...   \n",
       "11         0.995  https://api.spotify.com/v1/audio-analysis/4N2b...   \n",
       "12         0.845  https://api.spotify.com/v1/audio-analysis/0ee9...   \n",
       "13         0.963  https://api.spotify.com/v1/audio-analysis/4z6P...   \n",
       "14         0.974  https://api.spotify.com/v1/audio-analysis/45mj...   \n",
       "15         0.928  https://api.spotify.com/v1/audio-analysis/0sCp...   \n",
       "16         0.993  https://api.spotify.com/v1/audio-analysis/0FHP...   \n",
       "17         0.902  https://api.spotify.com/v1/audio-analysis/15Qw...   \n",
       "18         0.893  https://api.spotify.com/v1/audio-analysis/0FNO...   \n",
       "19         0.891  https://api.spotify.com/v1/audio-analysis/1W0B...   \n",
       "20         0.988  https://api.spotify.com/v1/audio-analysis/2Mns...   \n",
       "21         0.935  https://api.spotify.com/v1/audio-analysis/4KMa...   \n",
       "22         0.993  https://api.spotify.com/v1/audio-analysis/6UhN...   \n",
       "23         0.963  https://api.spotify.com/v1/audio-analysis/1laj...   \n",
       "24         0.940  https://api.spotify.com/v1/audio-analysis/1z1s...   \n",
       "25         0.996  https://api.spotify.com/v1/audio-analysis/0OSs...   \n",
       "26         0.953  https://api.spotify.com/v1/audio-analysis/7CSQ...   \n",
       "27         0.796  https://api.spotify.com/v1/audio-analysis/2Abf...   \n",
       "28         0.980  https://api.spotify.com/v1/audio-analysis/46Ma...   \n",
       "29         0.985  https://api.spotify.com/v1/audio-analysis/1BeN...   \n",
       "30         0.959  https://api.spotify.com/v1/audio-analysis/7cJv...   \n",
       "31         0.988  https://api.spotify.com/v1/audio-analysis/7h6G...   \n",
       "32         0.993  https://api.spotify.com/v1/audio-analysis/3XwJ...   \n",
       "33         0.990  https://api.spotify.com/v1/audio-analysis/3Bhr...   \n",
       "34         0.983  https://api.spotify.com/v1/audio-analysis/4ycO...   \n",
       "35         0.936  https://api.spotify.com/v1/audio-analysis/7inC...   \n",
       "36         0.995  https://api.spotify.com/v1/audio-analysis/2Klk...   \n",
       "37         0.860  https://api.spotify.com/v1/audio-analysis/2AEq...   \n",
       "38         0.993  https://api.spotify.com/v1/audio-analysis/53GW...   \n",
       "39         0.918  https://api.spotify.com/v1/audio-analysis/1TxM...   \n",
       "40         0.989  https://api.spotify.com/v1/audio-analysis/74rU...   \n",
       "41         0.988  https://api.spotify.com/v1/audio-analysis/3B34...   \n",
       "42         0.967  https://api.spotify.com/v1/audio-analysis/58XD...   \n",
       "43         0.988  https://api.spotify.com/v1/audio-analysis/0o0p...   \n",
       "44         0.972  https://api.spotify.com/v1/audio-analysis/7v62...   \n",
       "45         0.984  https://api.spotify.com/v1/audio-analysis/4HGu...   \n",
       "46         0.823  https://api.spotify.com/v1/audio-analysis/02VD...   \n",
       "47         0.994  https://api.spotify.com/v1/audio-analysis/3KSy...   \n",
       "48         0.984  https://api.spotify.com/v1/audio-analysis/0ycN...   \n",
       "49         0.995  https://api.spotify.com/v1/audio-analysis/4Hzo...   \n",
       "\n",
       "    danceability  duration_ms   energy                      id  \\\n",
       "0         0.2160       583507  0.15900  6ccQicHql4thkQlz6XjnvO   \n",
       "1         0.2330       190467  0.11500  6x0uKyMtSfIBy07uxUrwCI   \n",
       "2         0.1600       481533  0.09620  76bzcAMft1MGxK5BCjmA0T   \n",
       "3         0.0834       635667  0.09250  5LEMayTRgRgJQeiUcxmtxj   \n",
       "4         0.2570       124693  0.01190  4D8DlZaKynq3RMqTRmuTZz   \n",
       "5         0.4290       131107  0.01760  2lLH2FnXd4v88lPrE2yu8z   \n",
       "6         0.3640       275467  0.05920  3pzBD8BVdrv7VJ7glRYshl   \n",
       "7         0.1970      1294333  0.15100  5WLmG3A9HqpN75iultYhRC   \n",
       "8         0.3210       259640  0.23200  0yCLPAYOG8mpM3hRiuMYZe   \n",
       "9         0.3130       971000  0.09870  4FZHl2DB6qpkDtATnUKbEQ   \n",
       "10        0.2990       238547  0.06080  7e3ehXyswEYb6TyL2JAep7   \n",
       "11        0.3090       276987  0.05380  4N2bzWDcBvP3qilKjCePsC   \n",
       "12        0.0863      1536000  0.04580  0ee95xpQsM0WyY1Lus7mgf   \n",
       "13        0.3400       554427  0.13000  4z6P9Xk95gGUYBMyKbMTYa   \n",
       "14        0.2160       646920  0.13000  45mjFbSt8s3ZiB1JBT0Gbc   \n",
       "15        0.2410       627880  0.12200  0sCpTyf12lPqcH6Iozml3V   \n",
       "16        0.3150       681253  0.03600  0FHPLHDltdFz8CxMdzH51G   \n",
       "17        0.1940       246560  0.01580  15QwfIQCT3g8tbbQmwuDuL   \n",
       "18        0.1070       813720  0.16400  0FNOaHYOyUWhtezXTEBdIv   \n",
       "19        0.0683       522173  0.01540  1W0BCP0QVZxAJjjQ1HHhcH   \n",
       "20        0.4050       104253  0.14600  2Mnsi63lWH6rCJKILXDvHy   \n",
       "21        0.1040       606973  0.12100  4KMaKmcuQm2E4Pe2jXuV71   \n",
       "22        0.3480       409066  0.10800  6UhNE1pgqilPcs7zfrCPHR   \n",
       "23        0.1750       177333  0.30300  1lajT6h1lRPMgSghJTm0py   \n",
       "24        0.3300       432813  0.26900  1z1s5gpvZObZkejelunFu5   \n",
       "25        0.3730       191267  0.00667  0OSsW1WNdjjaLOr3wyglmX   \n",
       "26        0.3190       614667  0.07930  7CSQ8tSIXavuSDMgthBvHI   \n",
       "27        0.4440       193933  0.13200  2AbfrHJQ0u3q4LukoIjyIw   \n",
       "28        0.3260       661800  0.08040  46MazE6sbjUtLO1qMEorga   \n",
       "29        0.3260       740560  0.12300  1BeNBCYGOGcuwLCDPnAoVE   \n",
       "30        0.1960       449173  0.03950  7cJvXmBOGUVqtDFM051YVr   \n",
       "31        0.2330       475267  0.06960  7h6G2SQCnIdsVfp2I39qMl   \n",
       "32        0.2200       210373  0.11200  3XwJjvwpwLc8Epy4jhNlty   \n",
       "33        0.2170       257533  0.02610  3Bhr1K8Z8q7QDxejY5pXkj   \n",
       "34        0.0623       704500  0.06680  4ycOhwiOUclptLgYylmwiM   \n",
       "35        0.1880       822573  0.12800  7inCnv3kYyhThRVwBOKVw3   \n",
       "36        0.3120       120920  0.00870  2Klk8eFPUZ1LYm4gkCArox   \n",
       "37        0.0739       571093  0.03750  2AEqHRdDbQGzPh260GbL3r   \n",
       "38        0.2450       157205  0.05410  53GWWctcTS7QlIlGmlXN6I   \n",
       "39        0.1610       289293  0.07190  1TxMXKi4WKNkYVOpMgdfqt   \n",
       "40        0.2260       661800  0.05510  74rU4zZvCv7nJJTT2kFuNF   \n",
       "41        0.4390       112267  0.04290  3B34V2wUHuEBmOn3Ab9eC9   \n",
       "42        0.2660       218267  0.24700  58XDnPgpSfo7eYlJPEiI7Q   \n",
       "43        0.1890       265760  0.11400  0o0pQcnYkgVZqOpysTAzl9   \n",
       "44        0.2620       444026  0.07040  7v626rMDW95VngI3q1iIbF   \n",
       "45        0.2780       681933  0.05160  4HGuzZAtZ1ACtTyUfH5TRr   \n",
       "46        0.2540      1055266  0.17700  02VDDglKhZ2Y88qjX9vENr   \n",
       "47        0.4670        91754  0.00906  3KSyPvRv3gRXzT4CkfLMdk   \n",
       "48        0.3360      1000627  0.07390  0ycN1rmJND2Bsm73oC6O0j   \n",
       "49        0.3970        90800  0.00699  4Hzok2BRQl1SGHHbMLJTuH   \n",
       "\n",
       "    instrumentalness  key  liveness  loudness  mode  speechiness    tempo  \\\n",
       "0           0.840000    0    0.0714   -23.564     1       0.0406   66.374   \n",
       "1           0.021800    9    0.0807   -23.004     0       0.0467  103.432   \n",
       "2           0.216000    4    0.1180   -22.844     0       0.0425   91.464   \n",
       "3           0.766000    4    0.1370   -22.133     1       0.0469   84.829   \n",
       "4           0.972000    1    0.0654   -45.869     0       0.0410   72.494   \n",
       "5           0.644000    1    0.0817   -37.656     0       0.0756   66.894   \n",
       "6           0.000000    2    0.0823   -21.757     1       0.0570  123.789   \n",
       "7           0.775000    1    0.0999   -19.168     1       0.0409   93.836   \n",
       "8           0.896000    0    0.1100   -19.560     0       0.0543  129.650   \n",
       "9           0.900000    0    0.0856   -19.868     0       0.0375  141.162   \n",
       "10          0.331000    2    0.2060   -19.161     1       0.0444  123.230   \n",
       "11          0.875000    3    0.1140   -25.352     1       0.0360   82.779   \n",
       "12          0.606000    0    0.0994   -20.130     1       0.0401   66.271   \n",
       "13          0.180000   10    0.6960   -20.542     1       0.0418  137.241   \n",
       "14          0.861000    4    0.0873   -19.032     0       0.0369  111.289   \n",
       "15          0.388000    5    0.1010   -15.189     1       0.0363   77.189   \n",
       "16          0.915000   11    0.1620   -26.406     1       0.0354  102.883   \n",
       "17          0.188000    7    0.0722   -30.015     0       0.0548   89.632   \n",
       "18          0.926000   10    0.1160   -20.572     1       0.0358   88.161   \n",
       "19          0.562000    6    0.0372   -28.844     1       0.0421   74.732   \n",
       "20          0.880000    7    0.1030   -29.629     1       0.0351  139.109   \n",
       "21          0.843000    2    0.1200   -17.071     0       0.0380  165.710   \n",
       "22          0.897000    9    0.1200   -21.731     1       0.0395   66.378   \n",
       "23          0.003750    2    0.1030   -12.132     1       0.0413   90.595   \n",
       "24          0.926000    7    0.0858   -15.337     0       0.0424  116.735   \n",
       "25          0.914000    0    0.0735   -38.702     1       0.0409   68.123   \n",
       "26          0.934000    0    0.2270   -22.256     1       0.0400  156.027   \n",
       "27          0.770000    0    0.1130   -21.614     1       0.0394  129.443   \n",
       "28          0.897000    7    0.1290   -24.037     1       0.0331  129.954   \n",
       "29          0.258000    9    0.2910   -20.060     1       0.0422  128.799   \n",
       "30          0.863000    1    0.0564   -25.813     1       0.0397   74.221   \n",
       "31          0.814000    9    0.1130   -20.904     0       0.0423   62.718   \n",
       "32          0.508000    4    0.0809   -21.352     0       0.0489  132.259   \n",
       "33          0.690000    3    0.0811   -28.024     1       0.0380  131.062   \n",
       "34          0.454000    0    0.1100   -24.673     1       0.0459   65.939   \n",
       "35          0.787000    0    0.0841   -16.892     1       0.0503   77.529   \n",
       "36          0.893000    5    0.1100   -35.430     1       0.0443   89.080   \n",
       "37          0.578000    2    0.1080   -28.172     0       0.0457   65.371   \n",
       "38          0.882000    7    0.1240   -25.140     1       0.0422   63.767   \n",
       "39          0.653000    7    0.1480   -21.875     1       0.0389   86.901   \n",
       "40          0.385000    0    0.1730   -21.710     1       0.0470  144.856   \n",
       "41          0.903000    3    0.0949   -26.132     1       0.0340  127.541   \n",
       "42          0.583000   11    0.2560   -16.207     0       0.0431  108.167   \n",
       "43          0.000786    0    0.1700   -23.119     1       0.0565   73.602   \n",
       "44          0.908000    5    0.2040   -24.218     1       0.0363   88.200   \n",
       "45          0.905000    0    0.1020   -24.272     0       0.0426  117.894   \n",
       "46          0.919000    7    0.2270   -20.635     0       0.0382   95.767   \n",
       "47          0.911000    4    0.0958   -32.096     1       0.0841  129.307   \n",
       "48          0.862000    0    0.0802   -20.821     0       0.0373  140.054   \n",
       "49          0.950000   11    0.0963   -34.971     0       0.0656   66.826   \n",
       "\n",
       "    time_signature                                         track_href  \\\n",
       "0                4  https://api.spotify.com/v1/tracks/6ccQicHql4th...   \n",
       "1                4  https://api.spotify.com/v1/tracks/6x0uKyMtSfIB...   \n",
       "2                4  https://api.spotify.com/v1/tracks/76bzcAMft1MG...   \n",
       "3                4  https://api.spotify.com/v1/tracks/5LEMayTRgRgJ...   \n",
       "4                5  https://api.spotify.com/v1/tracks/4D8DlZaKynq3...   \n",
       "5                3  https://api.spotify.com/v1/tracks/2lLH2FnXd4v8...   \n",
       "6                4  https://api.spotify.com/v1/tracks/3pzBD8BVdrv7...   \n",
       "7                4  https://api.spotify.com/v1/tracks/5WLmG3A9HqpN...   \n",
       "8                3  https://api.spotify.com/v1/tracks/0yCLPAYOG8mp...   \n",
       "9                4  https://api.spotify.com/v1/tracks/4FZHl2DB6qpk...   \n",
       "10               3  https://api.spotify.com/v1/tracks/7e3ehXyswEYb...   \n",
       "11               4  https://api.spotify.com/v1/tracks/4N2bzWDcBvP3...   \n",
       "12               4  https://api.spotify.com/v1/tracks/0ee95xpQsM0W...   \n",
       "13               4  https://api.spotify.com/v1/tracks/4z6P9Xk95gGU...   \n",
       "14               4  https://api.spotify.com/v1/tracks/45mjFbSt8s3Z...   \n",
       "15               4  https://api.spotify.com/v1/tracks/0sCpTyf12lPq...   \n",
       "16               4  https://api.spotify.com/v1/tracks/0FHPLHDltdFz...   \n",
       "17               4  https://api.spotify.com/v1/tracks/15QwfIQCT3g8...   \n",
       "18               4  https://api.spotify.com/v1/tracks/0FNOaHYOyUWh...   \n",
       "19               4  https://api.spotify.com/v1/tracks/1W0BCP0QVZxA...   \n",
       "20               4  https://api.spotify.com/v1/tracks/2Mnsi63lWH6r...   \n",
       "21               5  https://api.spotify.com/v1/tracks/4KMaKmcuQm2E...   \n",
       "22               3  https://api.spotify.com/v1/tracks/6UhNE1pgqilP...   \n",
       "23               1  https://api.spotify.com/v1/tracks/1lajT6h1lRPM...   \n",
       "24               4  https://api.spotify.com/v1/tracks/1z1s5gpvZObZ...   \n",
       "25               3  https://api.spotify.com/v1/tracks/0OSsW1WNdjja...   \n",
       "26               4  https://api.spotify.com/v1/tracks/7CSQ8tSIXavu...   \n",
       "27               4  https://api.spotify.com/v1/tracks/2AbfrHJQ0u3q...   \n",
       "28               4  https://api.spotify.com/v1/tracks/46MazE6sbjUt...   \n",
       "29               4  https://api.spotify.com/v1/tracks/1BeNBCYGOGcu...   \n",
       "30               4  https://api.spotify.com/v1/tracks/7cJvXmBOGUVq...   \n",
       "31               4  https://api.spotify.com/v1/tracks/7h6G2SQCnIds...   \n",
       "32               3  https://api.spotify.com/v1/tracks/3XwJjvwpwLc8...   \n",
       "33               3  https://api.spotify.com/v1/tracks/3Bhr1K8Z8q7Q...   \n",
       "34               3  https://api.spotify.com/v1/tracks/4ycOhwiOUclp...   \n",
       "35               4  https://api.spotify.com/v1/tracks/7inCnv3kYyhT...   \n",
       "36               3  https://api.spotify.com/v1/tracks/2Klk8eFPUZ1L...   \n",
       "37               4  https://api.spotify.com/v1/tracks/2AEqHRdDbQGz...   \n",
       "38               3  https://api.spotify.com/v1/tracks/53GWWctcTS7Q...   \n",
       "39               4  https://api.spotify.com/v1/tracks/1TxMXKi4WKNk...   \n",
       "40               4  https://api.spotify.com/v1/tracks/74rU4zZvCv7n...   \n",
       "41               4  https://api.spotify.com/v1/tracks/3B34V2wUHuEB...   \n",
       "42               4  https://api.spotify.com/v1/tracks/58XDnPgpSfo7...   \n",
       "43               1  https://api.spotify.com/v1/tracks/0o0pQcnYkgVZ...   \n",
       "44               4  https://api.spotify.com/v1/tracks/7v626rMDW95V...   \n",
       "45               3  https://api.spotify.com/v1/tracks/4HGuzZAtZ1AC...   \n",
       "46               3  https://api.spotify.com/v1/tracks/02VDDglKhZ2Y...   \n",
       "47               4  https://api.spotify.com/v1/tracks/3KSyPvRv3gRX...   \n",
       "48               4  https://api.spotify.com/v1/tracks/0ycN1rmJND2B...   \n",
       "49               4  https://api.spotify.com/v1/tracks/4Hzok2BRQl1S...   \n",
       "\n",
       "              type                                   uri  valence  \n",
       "0   audio_features  spotify:track:6ccQicHql4thkQlz6XjnvO   0.0689  \n",
       "1   audio_features  spotify:track:6x0uKyMtSfIBy07uxUrwCI   0.1070  \n",
       "2   audio_features  spotify:track:76bzcAMft1MGxK5BCjmA0T   0.0400  \n",
       "3   audio_features  spotify:track:5LEMayTRgRgJQeiUcxmtxj   0.0292  \n",
       "4   audio_features  spotify:track:4D8DlZaKynq3RMqTRmuTZz   0.0608  \n",
       "5   audio_features  spotify:track:2lLH2FnXd4v88lPrE2yu8z   0.1280  \n",
       "6   audio_features  spotify:track:3pzBD8BVdrv7VJ7glRYshl   0.1820  \n",
       "7   audio_features  spotify:track:5WLmG3A9HqpN75iultYhRC   0.0384  \n",
       "8   audio_features  spotify:track:0yCLPAYOG8mpM3hRiuMYZe   0.3340  \n",
       "9   audio_features  spotify:track:4FZHl2DB6qpkDtATnUKbEQ   0.1160  \n",
       "10  audio_features  spotify:track:7e3ehXyswEYb6TyL2JAep7   0.1820  \n",
       "11  audio_features  spotify:track:4N2bzWDcBvP3qilKjCePsC   0.0987  \n",
       "12  audio_features  spotify:track:0ee95xpQsM0WyY1Lus7mgf   0.0362  \n",
       "13  audio_features  spotify:track:4z6P9Xk95gGUYBMyKbMTYa   0.2100  \n",
       "14  audio_features  spotify:track:45mjFbSt8s3ZiB1JBT0Gbc   0.0598  \n",
       "15  audio_features  spotify:track:0sCpTyf12lPqcH6Iozml3V   0.2270  \n",
       "16  audio_features  spotify:track:0FHPLHDltdFz8CxMdzH51G   0.0725  \n",
       "17  audio_features  spotify:track:15QwfIQCT3g8tbbQmwuDuL   0.0330  \n",
       "18  audio_features  spotify:track:0FNOaHYOyUWhtezXTEBdIv   0.0475  \n",
       "19  audio_features  spotify:track:1W0BCP0QVZxAJjjQ1HHhcH   0.0347  \n",
       "20  audio_features  spotify:track:2Mnsi63lWH6rCJKILXDvHy   0.6940  \n",
       "21  audio_features  spotify:track:4KMaKmcuQm2E4Pe2jXuV71   0.0419  \n",
       "22  audio_features  spotify:track:6UhNE1pgqilPcs7zfrCPHR   0.1310  \n",
       "23  audio_features  spotify:track:1lajT6h1lRPMgSghJTm0py   0.0886  \n",
       "24  audio_features  spotify:track:1z1s5gpvZObZkejelunFu5   0.2120  \n",
       "25  audio_features  spotify:track:0OSsW1WNdjjaLOr3wyglmX   0.2280  \n",
       "26  audio_features  spotify:track:7CSQ8tSIXavuSDMgthBvHI   0.0853  \n",
       "27  audio_features  spotify:track:2AbfrHJQ0u3q4LukoIjyIw   0.1830  \n",
       "28  audio_features  spotify:track:46MazE6sbjUtLO1qMEorga   0.0447  \n",
       "29  audio_features  spotify:track:1BeNBCYGOGcuwLCDPnAoVE   0.1810  \n",
       "30  audio_features  spotify:track:7cJvXmBOGUVqtDFM051YVr   0.0361  \n",
       "31  audio_features  spotify:track:7h6G2SQCnIdsVfp2I39qMl   0.0582  \n",
       "32  audio_features  spotify:track:3XwJjvwpwLc8Epy4jhNlty   0.0424  \n",
       "33  audio_features  spotify:track:3Bhr1K8Z8q7QDxejY5pXkj   0.0674  \n",
       "34  audio_features  spotify:track:4ycOhwiOUclptLgYylmwiM   0.0350  \n",
       "35  audio_features  spotify:track:7inCnv3kYyhThRVwBOKVw3   0.1200  \n",
       "36  audio_features  spotify:track:2Klk8eFPUZ1LYm4gkCArox   0.0854  \n",
       "37  audio_features  spotify:track:2AEqHRdDbQGzPh260GbL3r   0.0400  \n",
       "38  audio_features  spotify:track:53GWWctcTS7QlIlGmlXN6I   0.1100  \n",
       "39  audio_features  spotify:track:1TxMXKi4WKNkYVOpMgdfqt   0.0393  \n",
       "40  audio_features  spotify:track:74rU4zZvCv7nJJTT2kFuNF   0.0980  \n",
       "41  audio_features  spotify:track:3B34V2wUHuEBmOn3Ab9eC9   0.4740  \n",
       "42  audio_features  spotify:track:58XDnPgpSfo7eYlJPEiI7Q   0.0694  \n",
       "43  audio_features  spotify:track:0o0pQcnYkgVZqOpysTAzl9   0.0395  \n",
       "44  audio_features  spotify:track:7v626rMDW95VngI3q1iIbF   0.1230  \n",
       "45  audio_features  spotify:track:4HGuzZAtZ1ACtTyUfH5TRr   0.0849  \n",
       "46  audio_features  spotify:track:02VDDglKhZ2Y88qjX9vENr   0.0753  \n",
       "47  audio_features  spotify:track:3KSyPvRv3gRXzT4CkfLMdk   0.2610  \n",
       "48  audio_features  spotify:track:0ycN1rmJND2Bsm73oC6O0j   0.0837  \n",
       "49  audio_features  spotify:track:4Hzok2BRQl1SGHHbMLJTuH   0.0765  "
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(features_add)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "popularity = []\n",
    "for i in spotify.tracks(list(songs['id']))['tracks']:\n",
    "    popularity.append(i['popularity'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "features_df = pd.DataFrame(features_add).drop(['id','analysis_url', 'key', 'mode', 'time_signature', 'track_href', 'type', 'uri'], axis=1)\n",
    "popularity_df = pd.DataFrame(popularity, columns = ['popularity'])\n",
    "predict_df = pd.concat([features_df, popularity_df], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "master_songs_scaled = pd.read_pickle('data/master_songs_scaled.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([      u'popularity',           u'energy',         u'liveness',\n",
       "                  u'tempo',      u'speechiness',     u'acousticness',\n",
       "       u'instrumentalness',     u'danceability',      u'duration_ms',\n",
       "               u'loudness',          u'valence'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_songs_scaled.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "predict_df = predict_df[['popularity', 'energy', 'liveness', 'tempo', 'speechiness', 'acousticness', 'instrumentalness', 'danceability', 'duration_ms',\n",
    "            'loudness', 'valence']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "scaled_data = scaler.transform(predict_df)\n",
    "predictions = models['RFC'].predict(scaled_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Serious', 'Tender', 'Serious', 'Serious', 'Serious', 'Tender',\n",
       "       'Tender', 'Serious', 'Tender', 'Tender', 'Tender', 'Tender',\n",
       "       'Serious', 'Tender', 'Serious', 'Serious', 'Tender', 'Serious',\n",
       "       'Serious', 'Serious', 'Tender', 'Serious', 'Tender', 'Stirring',\n",
       "       'Stirring', 'Tender', 'Serious', 'Serious', 'Serious', 'Tender',\n",
       "       'Serious', 'Tender', 'Peaceful', 'Tender', 'Serious', 'Romantic',\n",
       "       'Tender', 'Serious', 'Peaceful', 'Romantic', 'Peaceful',\n",
       "       'Sentimental', 'Serious', 'Somber', 'Serious', 'Stirring',\n",
       "       'Serious', 'Yearning', 'Stirring', 'Peaceful'], dtype=object)"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>coords</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>(1, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>(1, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>(-2, 2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>(-1, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>(-2, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>(-2, 2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>(-1, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>(-2, 2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>(-2, 0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>(-2, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>(1, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>(0, -2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>(0, -1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>(1, 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>(-2, 2)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      coords\n",
       "0    (0, -2)\n",
       "1    (-2, 1)\n",
       "2    (0, -2)\n",
       "3    (0, -2)\n",
       "4    (0, -2)\n",
       "5    (-2, 1)\n",
       "6    (-2, 1)\n",
       "7    (0, -2)\n",
       "8    (-2, 1)\n",
       "9    (-2, 1)\n",
       "10   (-2, 1)\n",
       "11   (-2, 1)\n",
       "12   (0, -2)\n",
       "13   (-2, 1)\n",
       "14   (0, -2)\n",
       "15   (0, -2)\n",
       "16   (-2, 1)\n",
       "17   (0, -2)\n",
       "18   (0, -2)\n",
       "19   (0, -2)\n",
       "20   (-2, 1)\n",
       "21   (0, -2)\n",
       "22   (-2, 1)\n",
       "23    (1, 1)\n",
       "24    (1, 1)\n",
       "25   (-2, 1)\n",
       "26   (0, -2)\n",
       "27   (0, -2)\n",
       "28   (0, -2)\n",
       "29   (-2, 1)\n",
       "30   (0, -2)\n",
       "31   (-2, 1)\n",
       "32   (-2, 2)\n",
       "33   (-2, 1)\n",
       "34   (0, -2)\n",
       "35   (-1, 1)\n",
       "36   (-2, 1)\n",
       "37   (0, -2)\n",
       "38   (-2, 2)\n",
       "39   (-1, 1)\n",
       "40   (-2, 2)\n",
       "41   (-2, 0)\n",
       "42   (0, -2)\n",
       "43  (-2, -2)\n",
       "44   (0, -2)\n",
       "45    (1, 1)\n",
       "46   (0, -2)\n",
       "47   (0, -1)\n",
       "48    (1, 1)\n",
       "49   (-2, 2)"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coords = []\n",
    "for i in predictions:\n",
    "    coords.append(get_mood_map(i))\n",
    "    \n",
    "d = {}\n",
    "d['coords'] = coords\n",
    "pd.DataFrame(d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# essential code\n",
    "with open('data/scaler.pkl', 'rb') as f:\n",
    "    scaler = pk.load(f)\n",
    "with open('data/models.pkl', 'rb') as f:\n",
    "    models = pk.load(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Script for live predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def chunks(l, n):\n",
    "    n = max(1, n)\n",
    "    return [l[i:i+n] for i in range(0, len(l), n)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def new_mood_maker(playlist_id):\n",
    "    name = spotify.user_playlist('spotify', playlist_id)['name']\n",
    "    songs = pd.DataFrame(get_songs([playlist_id]), columns = ['id']) #'6CRNGyV2hoQDyYpUPjHrkz', '6uTuhSs7qiEPfCI3QDHXsL' top classical playlist\n",
    "    \n",
    "    features_add, popularity = [], []\n",
    "    for j in chunks(list(songs.id),50):\n",
    "        features_add.extend(spotify.audio_features(tracks=j))\n",
    "    for j in chunks(list(songs.id),50):        \n",
    "        for i in spotify.tracks(j)['tracks']:\n",
    "            popularity.extend(i['popularity'])\n",
    "        \n",
    "    features_df = pd.DataFrame(features_add).drop(['id','analysis_url', 'key', 'mode', 'time_signature', 'track_href', 'type', 'uri'], axis=1)\n",
    "    popularity_df = pd.DataFrame(popularity, columns = ['popularity'])\n",
    "    predict_df = pd.concat([features_df, popularity_df], axis=1)\n",
    "    \n",
    "    predict_df = predict_df[['popularity', 'energy', 'liveness', 'tempo', 'speechiness', 'acousticness', 'instrumentalness', 'danceability', 'duration_ms',\n",
    "            'loudness', 'valence']]\n",
    "    \n",
    "    scaled_data = scaler.transform(predict_df)\n",
    "    predictions = models['RFC'].predict(scaled_data)\n",
    "    \n",
    "    coords = []\n",
    "    for i in predictions:\n",
    "        coords.append(get_mood_map(i))\n",
    "    \n",
    "    d = {}\n",
    "    d['coords'] = coords\n",
    "    df = pd.DataFrame(d)\n",
    "        \n",
    "    n = df['coords'].value_counts()\n",
    "    nplus = pd.DataFrame(n).reset_index()\n",
    "    nplus['mood'] = nplus['index'].apply(get_reverse_mood_map)\n",
    "    nplus.columns = ['coord', 'value', 'mood']\n",
    "    \n",
    "    plus = len(df)\n",
    "    \n",
    "    fig = plt.figure(dpi = 600, figsize=(8,5))\n",
    "    axes = fig.add_subplot(1, 1, 1)\n",
    "    colors = iter(cm.rainbow(np.linspace(0, 1, len(n))))\n",
    "\n",
    "    for index, items in nplus.iterrows():\n",
    "        axes.plot(items[0][0], items[0][1], marker='h', markersize = items[1]/plus*600, alpha=0.65, label=items[2],\n",
    "              color = next(colors))\n",
    "    axes.set_title(name)\n",
    "    axes.set_xlim(-3, 3)\n",
    "    axes.set_ylim(-3, 3)\n",
    "    axes.set_xticklabels([]) \n",
    "    axes.set_yticklabels([])\n",
    "    for k, v in reverse_mood_map.iteritems():\n",
    "        plt.annotate(v, k, ha='center', size=10, color='white')\n",
    "    plt.savefig('test_image.png');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def make_audio_features_df(audio_features):\n",
    "    audio_features_df = pd.DataFrame(columns = audio_features[0])\n",
    "    for i in audio_features:\n",
    "        audio_features_df = audio_features_df.append(i, ignore_index=True)\n",
    "    return audio_features_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Script for predictions pulled from database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def mood_maker(playlist_id):\n",
    "    name = spotify.user_playlist('spotify', playlist_id)['name']\n",
    "    songs = get_songs([playlist_id]) #'6CRNGyV2hoQDyYpUPjHrkz', '6uTuhSs7qiEPfCI3QDHXsL' top classical playlist\n",
    "    songs_df = master_df[master_df['id'].isin(songs)]\n",
    "\n",
    "    n = songs_df['mood_predict_map'].value_counts()\n",
    "    nplus = pd.DataFrame(n).reset_index()\n",
    "    nplus['mood'] = nplus['index'].apply(get_reverse_mood_map)\n",
    "    nplus.columns = ['coord', 'value', 'mood']\n",
    "    \n",
    "    plus = len(songs_df)\n",
    "    \n",
    "    fig = plt.figure(dpi = 600, figsize=(8,5))\n",
    "    axes = fig.add_subplot(1, 1, 1)\n",
    "    colors = iter(cm.rainbow(np.linspace(0, 1, len(n))))\n",
    "\n",
    "    for index, items in nplus.iterrows():\n",
    "        axes.plot(items[0][0], items[0][1], marker='h', markersize = items[1]/plus*600, alpha=0.65, label=items[2],\n",
    "              color = next(colors))\n",
    "    axes.set_title(name)\n",
    "    axes.set_xlim(-3, 3)\n",
    "    axes.set_ylim(-3, 3)\n",
    "    axes.set_xticklabels([]) \n",
    "    axes.set_yticklabels([])\n",
    "    for k, v in reverse_mood_map.iteritems():\n",
    "        plt.annotate(v, k, ha='center', size=10, color='white')\n",
    "    plt.savefig('test_image.png');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generated mood maps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter Playlist ID: 6CRNGyV2hoQDyYpUPjHrkz\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcwAAAEzCAYAAAC8HzNKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xd8FNXawPHfbE/vgRASklBS6DUktBCULiBVQUBUvILg\npVzLVV9UsF5RELDRpAhSFSz00AUCIZSENAihBxIgIUDKtnn/WFkTigRIsgHO9/NZXWZnz3lmMrPP\nzDkzcyRARhAEQRCEf6SwdQCCIAiC8DAQCVMQBEEQSkEkTEEQBEEoBZEwBUEQBKEURMIUBEEQhFIQ\nCVMQBEEQSkEkTEEAvv76a5KSkkhKSqKoqIjjx4+TlJTEkSNHsLe3L7N6xo8fT0JCAklJSaSlpfHV\nV1/h4OAAwIIFC3j99dfLrC6A8PBwfvvtt/v+/qlTp2jevHkZRiQIDzdZvMRLvP5+paenyy1btizz\ncidPnizv3LlT9vLykgHZzs5OnjNnjhwTEyMD8oIFC+TXX3/d5stf/HXq1Cm5efPmNo9DvMSrMrzE\nGaYg3ESSJCRJKjHN39+f9evXk5yczKFDh3j22WcBiI6OJi4ujilTppCSksLRo0dp0qTJLWW6u7sz\nYsQIBg8eTHZ2NgAFBQWMGDGCL7744pb5W7VqRVxcHElJSRw+fJh27doBoFAomD17tvUMdcmSJdjZ\n2d1xenR0NElJSQDodDoWLFhAeno6iYmJDBgwAAA7OzuWLVtGcnIy6enpfPLJJ2W3MgXhESISpiCU\nwuzZs1m3bh2hoaH06NGDb775hmrVqgHQoEEDtm7dSkhICJ9//jnffvvtLd+PjIwkIyODjIyMEtP1\nej1r1qy5Zf6ZM2fy4YcfEhYWxpdffmkts1u3blSrVo2wsDDq1KnD0aNHadmy5R2nA8iyDMCbb74J\nQM2aNencuTPffPMNnp6ejBo1CrVaTWhoKE2bNuXll18WzbCCcAc2P80VL/GqTK/jx4/LERER1n9r\nNBrZaDTKdnZ21mmrVq2SBw0aJEdHR8sXLlywTvfw8JCNRqOsVCpLlDlkyBBr0+udXsWbZCVJsk6v\nVauWXFBQIANyy5Yt5dOnT8s9evQoEc+dpkdHR8tHjhyRAXnPnj1yly5drJ8Vn694vDt27JAHDBgg\ng2iSFS/xKv4SZ5iCcBeenp4YDAYKCgqs03Jzc/H29gYgJyfHOj0nJwdJknB1dS1RxsWLF/H19S11\nnUOGDGHfvn0kJyezdu1aFArLrrpnzx7GjBnD2LFjyczMZP78+Tg6OpaYfv78eebPn4+Tk9Mty5Gb\nm2v9943lqV27Nr/88gspKSkkJSXRqFEja32CIPxN7BWCcBfZ2dmoVCrr1awAHh4eXLhwwfr+Bnd3\nd8xmc4kkCrBr1y6qV69OvXr1SkxXqVRMmjQJrVZrnVa9enW+/fZbhgwZQmhoKN27dy/xnZUrV9K+\nfXsCAgJwdXVl3LhxJabXqFEDV1dXxo4dW+J7Fy9exNPT0/rvatWqodVq+fbbb4mPjyckJISwsDAS\nExPvZzUJwiNPJExBuAuDwcDGjRt5+eWXAahVqxYRERHExMQA4OzsTJcuXQDo168fsbGxmM3mEmXk\n5uby5ZdfsnDhQgICAgCwt7dn9uzZ1KtXj6KiIuu83t7e5OXlcfToUZRKJcOHD0ehUKDVannhhRes\nfZG5ubmkpqYiy/Idpxf366+/MnToUAB8fHw4ePAgbm5ueHt7c+DAAQA6depEYGAgjo6OZbkKBeGR\nYfN2YfESr8r0Sk9PL9GHCch+fn7yunXr5KSkJPnAgQNy9+7dZfi7j3Dy5MlySkqKfOzYMblRo0Z3\nLPu1116TExMT5SNHjsgJCQnypEmTZJVKJQPy/PnzrX2YixYtkk+cOCHv3r1bjoiIkHfv3i3v2rVL\ndnV1lVetWiWnpKTIiYmJ8sqVK2UnJyfZzc3tttOL92Gq1Wp5zpw58okTJ+TExET5mWeekQG5X79+\n8smTJ+VDhw7JEyZMkEeNGiVfuHBBbtGihXzy5EnRhyle4vXXS/rrjSAI9yE6Oprp06dTt25dW4ci\nCEI5E02ygiAIglAKImEKgiAIQimIJllBEARBKAVxhikIgiAIpSASpiAIgiCUgkiYgiAIglAKImEK\ngiAIQimIhCkIgiAIpSASpiAIgiCUgkiYgiAIglAKImEKgiAIQimIhCkIgiAIpSASpiAIgiCUgkiY\ngiAIglAKImEKgiAIQimIhCkIgiAIpSASpiAIgiCUgkiYgiAIglAKImEKgiAIQimIhCkIgiAIpSAS\npiAIgiCUgkiYgiAIglAKImEKgiAIQimIhCkIgiAIpSAS5oOSJKr3aEerhR9SvUc7kCRbRyQIgiCU\nAwmQbR3Ew8qtYR1Cxw7Cqba/ddrVo6dInrKInENpNoxMEARBKGsiYd4HXRV3gkc9Q9Xo5nec5/zm\nvaTOWErhhcsVGJkgCIJQXkTCvAcKrYagwd0IHNQFhUZtmSgpUOs8UGldMRblYii8BLIZALPeQMai\nNRxfuAZzkd6GkQuCIAgPSiTMUvLpGEHwyH5ovdys01RaF1R2XkgKlXWabDZiLMjGWHTFOq0oO4fU\nr5eRuXFPhcYsCIIglB2RMO/COSSA0LGDcK1XyzpNodKhtq+CQmV3x++ZjQUY8i9gNhZap+UmHCV5\nymLyUk+UZ8iCIAhCORAJ8w407s7UGdEP3y6trFe+SgoVajsvlFqXUpdjKrqCoSAb2Wy0TJBlzq7Z\nSdp3K9BfziuP0AVBEIRyIBLmTRRqFTWe6UTNod1R2uksEyUJtc4dlc4DpPu4E0c2Yyy8hKHwMsiW\n1W0qKCR93m+cWLIe2WgqwyUQBEEQyoNImMV4t21C8KgB2Pt6W6cpNU6o7byRlOoHLl82GTAUZGHS\nX7VOyz9zgdQZS8naceCByxcEQRDKj0iYgENgNULHDMKjWZh1mkKptfRTqu3LvD6zId/Sv2kqsk67\nFJdE8tRFXM84V+b1CYIgCA/usU6YKid7ag/vjf/T7UFhaWqVJCVqe0+UWre7fPvBmYpyMORfRJb/\napI1mzn1yxaOzvoZ49X8cq9fEARBKL3HMmFKCgV+vaOp9VIv1E4O1ukqnRtqnScolBUXjNmEofAi\nxsIc6yTD1escm72K0z9vRjabKy4WQRAE4Y4eu4Tp0bwuIf9+FsdAX+s0pdoBtX0VJKXGZnHJpiIM\n+VmYDNet065lnCVl6mIuxSXZLC5BEATB4rFKmNU6RVB/wsvWf0tKDRo7bxQaRxtGVZJZfw19QRay\n6e8nAyVMnMm59bttGJUgCIKguvssjw7VX82vkqRAZeeJSutW6UYXUWgc0akdMBblYCy4iCybrXEL\ngiAItvNYJUwAldb1r8fZVWA/5b2SJFQ6d5QaF4wF2baORhAEQeAxGg/T3rMBVeq/gtqhauVOlsVI\nCiVqh6pUqf8K9p4NbB2OIAjCY+2RP8NU21ehasNRuPh1oBJ1Vd4TjWM1gqK/48rpTZw/OANDQZat\nQxIEQXjsPLIJU1Jq8QoZjFfIICSl1tbhlAkXvydwrtaG7JQfyU5eiGwWQ4YJgiBUlEeySdbF/0nq\ndF2Kd90X/jFZeqk0LKrdjIl+oUzyD+MT/7q0cCy/Bxa0dvJgemBDQuxuf6rb38OXzq5V/rEMSanF\nu+6L1Om2DBf/J8sjTAD8/f25cuUKMTExxMTEsHnzZmJiYnBxKf2D5x+Et7c333zzTYXUVV7atm3L\nsmXLSkybMGECI0aMuO38c+fOpUuXLg9UZ/fu3VEqH44uhzvx9/dn7969JaZ98cUX+Pv731M5x48f\nx87uziMKPYwedL984403aNGiBQBPP/10qev93//+x+DBg+8r5kfJI3WGqXMLoVrjMffU33dWX8iE\n08kAOCiUfBnYgPjruRjlsr/bpqGDCwuyT5FScO2By1LbeePX8gM8avXm3IGpFOaklkGEJaWkpNCh\nQ4cyL7c0srKyGDlypE3qLktyOWxH/2TcuHFs3ryZ/PyH+0lRN6+38ePHP3AZj4oH2S//97//AVCj\nRg2effZZfvnll7IM7ZH3SJxhKrVu+DZ/m1pPzn6gi2Oum03kGPXU1DnwbvVg3vML4f+qh+ChsjzQ\noIdbVT7xr8unNerS38Py4AN7hZJ3qgfzoX8Y//Wtg0ZSoJMUvF6tNu/5hTDRLxR/rR0N7J1p4ujK\ns57VCbNzYl6tptZ6X69WmzA7p/uK2d6zIbWenINv87cr5HF+9evXZ/v27WzatIkNGzbg4uKCUqnk\np59+YsuWLezatYuOHTvyySefMGzYMOv3EhMTcXV15auvviI2NpYffviBXbt24efnR7Vq1Vi3bh2b\nN29m48aN+Pv7lzjLSEtL4z//+Q9bt25l165d2Nvb4+TkxPr169m2bRtvvfUW6enp5b7sZUWSJGJj\nY1m4cCGxsbFMnz7d+lmPHj3YsGED8fHxNGzYEIARI0awY8cOtm7dypgxYwCoVq0aMTExbNq0iW3b\nthEQEMCgQYNo2bIla9aseejPMm+2efNm6tevT0ZGBmq1ZSCENm3asHz5chwcHFi2bBkbNmxg8+bN\n1K1b1/o9Nzc3UlJSrP9+9tln+fzzzys8/vK2fv16mjRpAsC6desIDw/Hz8+PzZs3s3XrVubPn48k\nScydO5euXbsyY8YM2rZtyzvvvHPH9Tdo0CAOHTrE77//TlBQkC0Xr9J4qBOmpFDhGTKI4G7LcQvs\nzoMujpdai5NSRQcXL1ZfzuSD0yn8kXOe/p6W5CgD/z11hLdOHqG9ixc6SUFPdx/ir+Xy7qkkEvLz\naOjgQnd3H+Kv5/LB6RRmXshgmHcNDufnceBaLj9mnyap4Oo/B3LPFLgFdie423I8QwYhKcqm4UC6\nzT2q3t7ejBo1iieeeIJdu3YxaNAg6tevj6enJ+3bt6dTp064ubmxYMECBgwYAEBISAjp6en4+voS\nGRlJeHg4kydPpmlTy0HDxIkTmT17NtHR0Xz77bd88MEHwN9nCCqViiNHjhAVFUVGRgYdOnRgyJAh\nHDlyhHbt2pGbm1smy1uRGjRowBtvvEF4eDjNmzenfv36AJjNZjp27Mi7777Lu+++S40aNejbty9t\n2rQhKiqKvn374uvri4+PDx988AFPPPEEP/zwAyNHjmTRokVkZmbSuXNnTKZHa8g4WZYxGo1s3LjR\nenbVs2dPVqxYwZgxY1i7di0dO3Zk5MiRfPnll9bv5eTkcOjQIcLDw63fWbx4sU2Woazcbr8cNWoU\nn376Kd26dSMjI4PY2Fg++ugjJk+eTFRUFOfOnaNZs2aAZV1+/vnnbNu2jY8++uiO6++jjz6iffv2\n9OzZk1q1alXoMlZWD22TrFO11vg0eg2NY/UHKsdXo2OiXyiSJKE3m5l6Lp3RPkFU09jRT5ZRSBJX\njAYA9LKZj/zDMMkyTkoVjkoVQToHFmefBuD3nPMAdHL1xlmppp2zJwAaRcUclyhU9lRt8CruQT3J\nPDiNq+d2PlB5wcHBxMTEIEkSsiyTmprKN998w2effYa9vT0+Pj4sWrSIlJQUHB0dmTdvHqtWrWLp\n0qUAuLi44O7uTs+ePVm0aBGhoaHs2bMHgCNHjnDixAkkSaJZs2a89dZbAGzZsoX/+7//uyWWnTst\ny3L27FlcXV0JDQ1ly5YtAPz666+8/vrrD7SsFUmWZdLS0sjMzAQgNjaW4OBgAOsy7d27l08//ZQW\nLVpQu3Zt69/B0dGRgIAATpw4wbRp05g4cSKurq7s378fsPyY3u4H9WF3Y5l++eUXnnrqKdatW0en\nTp2YMGECy5cvx9PT09rHptPpSnxn4cKFPPPMM+zfv5+AgAAOHHi4h9Irvl+CpYl25MiR7N69mylT\nplgPRJs0acJrr70GwH//+1+A2/afR0ZG3rL+3N3dycvL4/LlywD8+eef5b5cD4OHLmFqnQPxaTwG\nxyrNy6S84n2YNxhkmc/PHuWKyWCd5qnS0MPdh7EZh9HLMlMC/jojkGUkSv5AGWWZWRdOcLSwdH2V\nyjL+gdM4VqdG6/9x7cJeMg98RVFexn2Vc7u+kpiYGD755BM2bdrEuHHjcHBwoLCwkIiICCIiInj+\n+efp3r07L730EosXL6ZPnz5ER0fTo0cPevTogfk2D5M3m83WnV+j0dx2HqPRWOLfkiRZ56usfVXZ\n2dm4uZVsJvfy8iIvLw9FsYMohUJx22WRZZmioiJ+//33W/pz58yZw7p165g1axa9e/emW7du5bgk\nlcemTZv4/PPPqVu3LseOHSM/Px+9Xs/o0aNvuVDohrVr1zJp0iSio6P5/fffKzjisnenPsyqVatS\nVFSEu7s7V69exWg0ltjO7uR268/Dw6PEtliach4HD81aUKqd8GkyntqdFpRZsryTowXXaOlk+aGr\nb+9MaycPnJUqco0G9LJMkNYeL7UWtaTgaOF1Gjg4A/CkizdRzp6kFft+dY0d3d2q3lKHjIxaktBI\nCgJ15fPoO8cqLajdaQE+TcajVN97H+ntzlQ8PDw4fvw4Go2Grl27otFoaNSoEQMHDmT37t2MHDmS\n0NBQAJYsWcKwYcPIzMykqKiI9PR069FvSEgI/v7+yLLMvn37iI6OBiAqKoq4uLi7xnbs2DGaN7ds\nB127dr3nZasIaWlp+Pr6EhgYCICnpydRUVHs3LmTWrVq4e3tjSRJhIeHk5RkecB+mzZtAIiIiCAp\nKYn4+Hiio6OtZ01TpkxBq9Xi6elp7bft2bMnGo2ln91sNlv7+B5mdzpLNhgMHDp0iNdff50VK1YA\nljP0G1d8hoaG8u9//7vEd0wmE9u3b2fixIksWrSofAOvALdbNxERETg7OzNs2DBmzJgBUGK/ev/9\n963voeR2crv1d+nSJZydnXFyckKlUtGqVavyXqyHwkNwhinhXqs3VeoNR6lxrpAal148wyifmrRx\n9sQsy0zPTOeiUU+h2dIkm1xwlQ25WbxcNYDPzqYxxqcWE/1cKTCb+PLcMSRgtE9NPvQPQwHMvnDi\nljrW52bxWY16nNEXkF7KM9H7IinxqNUHV/8nuZA4i8vHfqa0z9uvU6cOMTExlmL+apZduHAhq1ev\n5tixY0ybNo0ZM2awfv16nnvuOf71r39hNBqtF1VkZ2dz7do1a59RfHw8R48eZffu3Rw4cICkpCRM\nJhPvvfcec+bMYfjw4RQVFfHiiy9aEwDcetYFMH/+fFavXk1MTAwbN26slH12JpOJQYMGMWvWLGtT\n6ejRo8nKyiI1NZWPP/6YunXrsnPnzhIXpqxevZrq1aszePBgzpw5w5QpU9i+fTtGo5FVq1ZRVFTE\n999/z4wZM8jIyGD69OnMnDmTDh06sHXrVnbs2EFUVBQ5OTn/EF3ldvO2d+PgCODnn39m3rx5jB49\nGoDp06czb948tm3bhkKhsDZDFt9uli5dSvPmzcnIuL/Wlsrkxrq5sU+q1WoiIyMJDAzk9OnTXLx4\nkd69e/Pee+8xb948Ro4cyalTp3j//fcZNGgQAMnJyTRu3JjJkyczYcIE5s+ff8v6e//999m+fTsZ\nGRkkJCTYcpErjUo9WolDlWZUazwGrXPZXKHlEg5eXR++/p3sNTJXYsumrKK845w7MJXrF+5+Fveg\nPDw8WLNmjfWCC7VazYABA/jxxx+xs7MjOTmZwMDA+2pS9fPzIzg4mE2bNhEeHs7777//wPcwVhR/\nf39WrFhhvR9OKH/vvfceGRkZLFiwwNahCA+xSnmGqXHwpWrj13Cu1sbWoTxytM5BBLabRt65HWQe\n+ArD9XPlUk+PHj14//33GTt2rHWawWCgefPmvPbaa5hMJt5999377n+8cuUK48eP57333gOwHhU/\nLCprv+uj6LfffiM/P9969bUg3K9KdYapUNnhFTYMzzr9kRRlP5izOMMsSTbruZi2jOykHzAbC8q+\nAkEQhEdIpTnDdAvsTpX6r6DSuds6lMeGpNDgFfIcbgFdOH/4O3JP/GHrkARBECotmydMe496+DQZ\ni51bqK1DeWypdB5Ub/EOHrV7kxk/hfxLibYOSRAEodKxWcJU2XlRteGruPp3tFUIwk3s3EIJ6vA9\nuac2cv7Q12LwakEQhGIqPGFKCg1eoc/hGfIcCqWuoqsX7krC1b8jzr5tyE7+kYspPyKbDXf/miAI\nwiOuQhOmi18HqjZ8FbX9rTfyC5WLQmlHlXrDcQ96ivOHvubK6RhbhyQIgmBTFZIwda518GkyBgfP\nRhVRnVCG1PZV8YuYhHutPmQemEJh7lFbhyQIgmAT5ZowlVpXqtZ/BbegBx9JRLAtB69G1Or4A5eP\n/8aFhO8xFT18I4QIgiA8iPJJmJISzzr98Q4bhkLtWC5VCLagwD2oJ65+HbhwZC6Xji4HufI9kk4Q\nBKE8lMtpX7Wm46nacLRIlo8ohdoRn0avUa3peFuHIjzmlDVDsHvlTZQ1Q2wdivAYKJczzMp69av5\nIX2YTWWNu7L+nYVHn+Tmga7fC6hbtgdJQt2iHYbdWyhcMRc555KtwxMeUTZ/cEFFunoYjNdkvLpI\naLxtHc3d6bMge61MwXFbRyIIlYRKjbZrPzRd+yFpix2wSRLqyGhUTSMp+mMZ+rUrwChuhxLK1mOV\nMAEKjsOpb2RcmoNHtITCztYR3cpcAJc2y1zZRyV60q8g2JaqeRt0/V9E4VnljvNIWh263kPQtO1E\n4dLZGON2VmCEwqPusUuYAMhwZS9cPSzjEQ0uzaXKcRGvGa7sk7m0GcyFtg5GECoHhV8QukGvoAqu\nX/rveFbB/tV3MKYmULjoO8ynRTON8OAez4T5F3MhZK+xJCnPrhL2ZTPs5n3JPw4X18joxdPoBAEA\nyckFbZ+haNp0AsX9HdGqguvj+P509NvXUfTzAuSrV8o4SuFx8lgnzBv02XBuvoxDMHh2llBX4IAp\nhktwcb3M9dSKq1MQKjWlEs0TPdD2HIRk5/Dg5SkUaKK6og5vR9HqReg3/QomcTuUcO9Ewizmeipc\nPybjFgFubSUU2vKry1wEl7fJ5O4BxL4rCACoGrZA98xwFFWrl3nZkp0DumdeRhPVlcKfZmI8vK/M\n6xAebSJh3swEOTsh76CMRwdwbixZhtkuK2ZL2Zc2gel6GZYrCA8xhU91dM/+C1X9ZuVfV9Xq2I+d\niDEhjsLF32E+f7bc6xQeDSJh3oHpGmSttvRvenWV0Pk9eJmFpyy3iRSde/CyBOGRYO+ArucgNB2e\nAmXF/hyp6jfD8cPv0Mf8RuGqH6Egv0LrFx4+ImHeRdE5ODNbxrE+eHaUUDnfexnGK3Bxo8y1hLKP\nTxAeSpKEOqoLut5DkRzvY6cqK0oVmo5Po46IpvDn+Ri2rQNZ3Msl3J5ImKV0LQGup8i4tQa3VhKS\n+u7fkQ2Qs1Mm50/Le0EQQBlcH93AV1D62/Cy9JtITi7YDX0NTfvuFC7+DlOqOLoVbiUS5j2QDXB5\nC+TFy3h2lHCsd+d5ryVYziqN4ip2QQBA8qyC7pnhqJu2snUod6T0D8Lhrf9h2P8nhUtmIV+8YOuQ\nhEpEJMz7YLwC55fL6PaCV2cJbbW/Pys6Z+mnLDxlu/gEoVLR6tB2H4CmUx8kdSmaZioBddNWqBq0\nQL9+JUW/L4Ui8SQRQSTMB1J4Ek7PlHFuDK4RErm7ZfIOIB5nJwh/UUdEo+3/AgpXD1uHcs8ktRpt\n92dQt3qCouU/YNi92dYhCTYmEuaDkiEv3tJMKwiChTIoGN2gV1AGPfzDbincPLF7+XU0HZ6icNG3\nmDLSbB2SYCMiYQqCUGYkV3d0/V5EHWEZdutRoqwZgsP/TcWwazOFy+ciX7ls65CECiYSplChVBoV\nRr3R1mEIZU2S0HQbgLZbfyRdJRwCqKxIEupWHf4eRuyPpeI2lMdIZRijQ3gM2Dnp6DauC2+vf5Nu\nYztj5yQGn36k2Dmg6zP00U6WxUg6O3R9hkJZPOtWeGiIM0yhXEmSRIvezYh+KQo7Z8uPaXjfFjTo\nWJ/Ns7ey9+c4ZHGELgjCQ0AkTKHcBDULpOu/O+Md5HXLZ3bOdnQb14XmvZqxZuo6ju/PsEGEgiAI\npScSplDm3H3d6Dy6IyFtgu86r3eQF89PG0zy9lTWTV9PzrncCohQEATh3omEKZQZjZ2Gds+3IaJ/\nS1Qa5T19N7RtMLVb1mL3sj1sm7cDfYG+nKIUBEG4PyJhCmWicdeGPPlKBxw9HO+7DJVGSZvnWtG4\nS0M2fhfDgTWHyjBCQRCEByMSpvBA/OpVp+vYzviGVLv7zKXk6OHI0+/0pEWf5qyZso7TiWfKrGxB\nEIT7JRKmcF/snYy0eNGNgLovlFsdviHVGP7dCxzelMiGrzeSl3213OoSBEG4G5EwhXsWGp5Hkydy\nkWQ79NdzyrcyCRo8WY/QNsFs/C6GPcv3lm99giAIdyAS5l/GP1eDsCAHPF3V2GmVnDpfyJVrRsZP\nub/nRi77tAGvfpZMds7DPRCmj6eGnz9vyJHj15EkUKskihwusvNaLKai8q8/xD2UlMvJNPVrRtWX\nqtk8Yfr7+5OQkEBcXBxguc9UlmV69+7NlSuVYyy3Bg0a0KtXLyZOnGjrUErtpWA/BtT0pchsRqdU\nMCk+jewCPYUmM8ev5jO7bQNG7kxAb779PbteOg3/bVSLcXuSKjjyild8G5QkCY1GQ0JCAiNGjHig\ncu3t7UlMTCQoqPKMU1rZiIT5ly9+PAlAj7Ze1PSzY8qiBxufS36EhizJOFfIS5P+/iH6YUo1Qp1r\nkJhdvoPsumhdqetZn5TLyRzOPsSZU2fLtb7SSklJoUOHDrYO444OHz7M4cOHbR1Gqfk56Bhax4+2\nv+1CBgKd7Jjeqj47Mi9x4FIex6/m89L2f16e7EL9Y5Esb7h5G5w7dy4DBw5k8eLF913mjYM/4c5E\nwryLMc/606C2IwqFxKK1mWyMvczHr9Yi82IRdWs64u2u4a1pR0k7lc87LwQSFuTAicxC1ErLUwe9\n3TR88K8glEoJk0lmwvfpXMo1sOqLRqSevM72Azn8tv2ijZfy3py+cpkqXk409axHcGAXAFIvp7D7\n3J88VasaeBqSAAAgAElEQVQX+YbrVHXwwUHtwK6zO2no3Rg7lR0LEn8A4Ok6fVEr1KiVatYdX0Pm\n9XOMbPwaBy7sp7ZbHZQKJT8eWUDnwK5Uc/SldfW2KFBwVj7LTOYwZcoUwsPDMRgMvPLKKyQnJ9ty\ndQCWH6ysrCyaNm2Kl5cXn332GcOGDcPDw4N27drRu3dvOnfujLOzM76+vkydOpX58+fTrl07Pvro\nI/R6PWfOnOHFF1/k0KFDhIWFoVAoyMnJISoqigMHDrB27VqGDx/OU089xcCBAzGZTKxatYqpU6cy\nYcIEgoKCCAgI4IMPPmDEiBH079+ftLQ0Vq1aRatWrcjJyaF79+5Uq1aN5cuXU1RUxI4dO2jTpg3R\n0dE2W3fOGhUapQKdUkGByUzG1QL+syeJ1R2bkV2o52JBEfOiGhG+aieTW4ZhMMu4adWsO53Fk9W9\nqGKn5YP9aXwWHkr733cT37sN81JP08nPG41CQc8N+1BKsCCqMVqlgk1nLzK0TnUartxus2Uua7Gx\nsdSuXZvRo0fzzDPPIMsyq1evZuXKlUyfPp1u3boRERHBH3/8gbu7OwqFgoMHDxIZGcnKlSvRarX8\n+eefAHTs2JFBgwYxdOhQAL7//nt+/fVX/vjjD1suYqUgniX7D5qFOePhquaFiUm8/FESI/r5oVJa\nRmBQKCRe+TiZZRvO062NJ7X97AkNdGDQu4nMWHqKGj6WZ6W+9owfs1ef5eWPklmy4QIv964OgF9V\nHdOWnH4okmXxQSdUSokwLx8KTXrqudVhXuIc5ifOJcyzLq5aNwBMZhOLkhaQlX8BXyc/FiUtIDs/\niwCXQBw1jhy4sJ8fk+az+eQmIn1bA6CQFGTnZ7HgyA/kFuYQ6BLI7nN/cirvBDvP/P3DFh0dTfXq\n1YmMjOTtt99mwIABFbouwHIkfjsGg4Enn3yShIQEIiIi6NixIwkJCbRv3x6AsLAwunfvTocOHZg0\naRIA3377Lf369SM6OpqcnBwGDhxIXFwc9erVo3Hjxuzbt4+IiAgAvL29USqV9O3blzZt2hAVFUXf\nvn3x9fUFQK1WExUVhclksp4pBAUFMW/ePFq1aoWbmxv169dn7NixLF26lOjoaLRarc3PKo7kXCP+\n4hUO923H163q0atGFdKuXGPT2Yu8vz+N+Et5JdprLhfpGbr1IAC+9jq6rdtLZn6hdTlUkkRy7jW6\nrdvLyWv5tPNx55maviTnXqPrur1c0T/c3SRQchtUqVT07NmTnJwchg4dSqtWrWjbti39+/dHlmXr\n9hEZGUl8fDxhYWE0atSI2NhYnnvuORISEoiKiuLgQcs63bBhA+Hh4aj/Guw7MjKSdevWVfxCVkLi\nDPMfNKrjRMM6Tsz+vzAkCSTAw9WyEcUn5wFw4bKeOjUcCKpux+Gjlqs4My/qOZtt6eBrWMcJX28d\nZllGqZDIyrHckH/1upHTFx6OUdwDfHTWdVDH355d51PQ2+VzLj8LsDQ/n847TRWHKgCcu2ZpOr2q\nv8bFgmwArhmuo1VpuWa4Tpvq7YjwbYVSUqI3//2AglNXLc3gefqraFVaCk23rp8mTZpYj4T//PNP\n6/uKFBwcTExMjLUJKzU1FVmW2bvX0r+amZlpPevNysrCxcUFgG3btgFw+fJlcnJy8PT0xGw2k5mZ\nCcDWrVtp164d27ZtIyIiAjs7O6ZPn07v3r3ZsWMH8fHxtGjRgtq1a1vrd3BwICAgAMBaf3F5eXkk\nJVmaKs+cOYOrqyuhoaEsWbIEgF9//ZXmzZuX38oqpRE7E6jl7EAHX09eqxfIiyH+nLpWwO0OTfZf\n/LuvOP7S7fuN92RZLkbLzC/CRaMm2MWBHectw3GtOZ3Fa/UCy3wZKlLxbbBBgwZ8+umnnDp1ij17\n9gBgNpv5888/adiwIQkJCdSuXZsWLVrwzTffEBkZiZ2dHVu3biU8PJytW7cCWP8P8Ntvv9GtWzcy\nMzPZsWMHJpPJBktZ+YiE+Q8MRjMrYi6w4PfMWz4zFrv44MZOXfx6BIUEEhIGo8yYL1K5cs1Y4jOD\n8eHpKyjehzl5TG0u2l/D2U4u8WOmUiitR/hm2WydLhd7LyER7tOSPH0eq4/9QlUHH54I6Gj93HzT\nvLdjNBpRKGzbMHK7Psy5c+diNP79Ny7+/sbZQPG4byTb4tM0Gg0mk4mtW7fy9ttvo9PpmD17Ni+8\n8AKtWrViy5Yt6PV6fv/9d0aOHFmi/g4dOqDX3/p0pJvjuPEymy3r2tZnlzdoFBLH8q5zLO863yef\nZP/Tbe44apbe9Pd2Yij2vjjjTRcHSZJk3T8rySI/kOLb4NKlS0lLS0OSpBLbk1artW5PLVu2xM7O\nji1btvD555/j4ODA+PHjadmypXVbKP7dhQsX8uabb3LixIkH6hd91Igm2X+QcOwaUU0szYw6jYI3\nhgbccd4T5wqoG2R5yk11by3VvLTIyBw+dpUOLdwBaFnfhY4tLe8fprF1i8f65aJTdK5Vj8v6q1Rz\nqIIltSmo5ujL+eu3HljczE5lT06h5eg/xD0UpXTnR+jJsozips/j4uKsTZyNGjVi2rRp975AD+hO\nTbJ3c6Np1cPDAycnJy5duoTZbLY2mbVr1464uDjS09Px8/PDxcWF/Px8zp8/T69evdiyZQv79++n\nffv26HSWJv8pU6ag0WhKHYMsyxw7dsx6VtmlS5f7WpayNLi2L19F1rP+202jRiHBqWsFqBSWdf2g\nu8vxvHyaeFrO9DtWv3UwgIdN8W3wjTfe4LPPPiM1NZWWLVsiSRJKpZLw8HAOHDjA9u3bGTx4MMeO\nHSMnJwcvLy+8vLw4d+4cqamp1m2heD/24cOH8fX1pXnz5uzcubPCl6+yEmeY/yA+5SoH067y44eW\nnXnx2vMAt73+NfVkPicyC1gwsS4nMwtJPZkPwDfLzjBpRE2eauOFySzzzjfHLGU8REe5xWM9l11E\nYtZZQp1rcPBSMkPrDUNC4sCFePL0eTct2K3vD2cfpFft3oR6hBF3fi91PevRwKvRbee9WHCRqg5V\neSKgE0VGS/Pszp076dmzJ9u2bUOW5VvOtCpCnTp1SjTJSpLE9evX/46+2Doo/v7EiROsWLGCmjVr\n8vbbbwPw8ssv89NPP2EwGEhPT7c2lV64cMF6m0psbCxt27a1Nt1OnTqV7du3YzQa+eWXX257ZvlP\nsUybNo1ly5bRp08fYmNjbd7c9uPRs9RxcSSmW0uuG0woFRKvxybjbafls/AwrhsSrFtHaXabElvS\nX8u8OP0sP0U34bdOzdly7hKmh2kHvI3if9eTJ0+yYsUKBg0axMyZM9m+fTuSJDFr1izOnLE8JSs0\nNJSZM2cCkJOTY92WFixYwC+//MKGDRvYuXNniXI3bNiAo+P9P+ryUSRRum3wnlQPn4Brjc5lXaxQ\nSXQbnoln9SJMRXnor5+rsHrPJJ1l5vA5FVZfWRoyZAh169blzTfftHUohIaG4uLiwp49exgwYABR\nUVEPfA8f9o44f728bAIsB9UddNR2dmBL5iWaebnw30a16LNx/wOXm/dqP8i/VgYRVj4bNmzgX//6\nFxkZYui9G8QZpiA8Zq5evcr333+PLMuYTCaGDRtm65DKXZ7eyKh6AbzZqBYAb8ba/lakysrf35+V\nK1eyZMkSkSxvIhKmIFSABQsW2DoEqzNnztC2bVtbh1Gh8gzGMjmjfBycOnWqUlw5XRmJi34EQRAE\noRREwhQEQRCEUhAJUxAEQRBKQSRMQRAEQSgFkTAFQRAEoRREwhQEQRCEUhAJU7hn6YcdMOordtMx\nFBo4tL58x98UBEH4J+I+TOGepcQ6cyrJnrotzhFYlwd/0Oc/keHwxgQ2fLOJvOyr5ViRIAjCPxMJ\nU7gv+VdVbJybi3R9Ll3HdsY3pFqZ13E2+Rx/TFnHmSNnyrxsQRCEeyUSpvBATiee4fsXZ9OoS0M6\njuiAo8eDP6z52qVrbPg2hoNrD5VBhIIgCGVDJEyhTBxce4ikrcm0G9qGiAEtUWnuPGzXnRj1JnYv\n3cO2+TvQF9x5BA5BEARbEAlTKDP6Aj0bv4sh7tf9dB7didC2waX+bvK2FNbN2EDOudxyjFAQBOH+\niYQplLmcc7n89N+lBDULpOu/O+MddOcBey+kZ7H2q/Uc3y9GRRAEoXITCVMoN8fjMvh6yHc0f7op\nHYa3x87ZzvpZQV4BMbO2sO+X/SUGrX3cKVBRn2epywASWUIiSzBjtHVYgiAgEqZQzmRZZu/PcSRs\nTCT6pSia9mhK3Or9bJmzlYKrhbYOr1KpQRtaMgYX/AFoyb8J5Wn2MJWT7LBxdIIgiIQpVIiCq4X8\nMWUd67/ehFEvzpiKcyOQCMZRnZa3fOaCP534ktPsZjdfksuJig+wNAquU7hiHtruA5B0dnef/yEn\nFxZQ9PtSKLhu61CECiQSplChRLL8mxYnmvIvwuiLgn++qtiPCHxZQhIr2M/3FFHJHuIgy+j/WIph\n50Z0/V5AHRkNUnk+0cJGZBnDrhgKl/+AfOWyraMRKphImIJQwSQkQulDM15Bh0upv6dAST0GUIvO\nxPEdyaxEpnL1/8pXLlMwezL6mF/RDRqBsmaIrUMqM6b0FAp+/AbziaO2DkWwEZEwBaECVaMZkYzH\nnVr3XYYOF1rzJmH0YRdfcI64MoywbJgy0rj+4VjUEdFo+w1D4eZp65DumznnIkXLf8Cwe7OtQxFs\nTCRMQagATlQjgrEEEFVmZbpTi+58SwZb2MMUrpJZZmWXFcPuzRjid6HtPgBNpz5IarWtQyo12WBA\nv24FRX8sgyJxgZogEqYglCs1djTmBeozECWacqkjkPb404oEFnOAuRgoKJd67ltRIUUr56Pftg7d\ngJdQN2tt64juyhC3k8Kls5EvXrB1KEIlIhKmIJSTOnSnBa9iT/k3RyrR0IjnqUN39jKDNP4o9zrv\nlXzxAgVff4Q+uD66ga+g9A+ydUi3MJ06TuHi7zCliqHkhFspgffLulDn6u3Qud5/H43wcCi8coy8\ns9tsHUal4009OvI5demHGvsKrVuNPQFE4UcrLnOM62RVaP2lIV/KwrBtLebcS6hqhiBpdbYOCfnq\nFQqXzKRw/jRxVinckTjDFIQy4oAXLRhNLTojlesgoXfnTV16MpdjrGUvM7hOtk3juYUsY9i6FkPs\nNnS9nkPT4SlQ2uDnyGREH/Mbhat+hIL8iq9feKiIhCkID0iJmoYMoSFDUVN5btqXkKhNVwJoz0Hm\ncZiFmDDYOqySCvIp/Gkm+i1/oBv4Cqr6zSqsamNCHIWLv8N8/myF1Sk83ETCFIQHEEQHwnkNJ8p+\nAO2yosaO5owghJ7s4SsyqHy3R5jPnyX/y/9D1aA5umdfRlG1evnVlXmawp9mYkyofLfjCJWbSJiC\ncB88qE0k/8GHJrYOpdScqMaTfEYm8exiMpeofDfgGw/v49qReDQdeqDtNQjJzqHMypbzr1G0ejH6\nmF/BZCqzcoXHh0iYgnAPdLjSnJGE0BMJha3DuS8+NKE3P5LCKvbxDYVcsXVIJZlM6Df8gmH3ZrS9\nh6Bp2xkUD7CuzWb029dRtHI+8rW8sotTeOyIhCkIpaBASV0G0JThaHC0dTgPTEJBKL0J4knimcUR\nlmGmcp11yVevUDh/OvrNf6Ab9Aqq4Pr3XIYx5TCFi7/HfPp4OUQoPG5EwhSEu/AjkgjG4UoNW4dS\n5rQ4EcE4QunDbr7gNLttHdItzKePk//pG6iatUY34CUUnlXu/p2LFyhcMgvj/j8rIELhcSESpiDc\ngSs1iGAcfkTaOpRy50oNujCN0+xiF19whVO2DukWxridXDsYi6ZLX7Td+t/2/k25qJCi35eiX7cS\njJXsimDhoScSpiDcRIMjTRlOXfqjeMx2ET8i6UcLjrCM/cxETyUb79FoQP/bTxh2bkDX9wXUEe0t\nw4jJMobdWyhcPgc5Vwy7JZSPcvk1MJvEg4ofB4/a31lCIoReNGMEdrjZOhybUaCiPgOpRRfi+JYU\nVlW+YcRyLlEw63P0m39D80QP9BtXYzqeauuwhEecBOWwJ0hKPGr3o0rdF1CoH/4LJISSzIZrXDgy\nh0tHV4BcuS4UuV8+NCGS8XhQx9ahVDqXSGMXk8nkgK1DEQSbKp+E+Rel1pUq9f+Fe9BT8JBegl9a\n/spsTpm8bB1GOTNz+fivXEiYiako19bBlAknfGjJGAKJtnUolV4Gm9nD1Eo5jJggVIRyTZg36Fxr\n49N4LA5ejcq7qgrnr8zmefsthKnPcMTgx/z8qEcycV7PPkjmgSkU5la+m93vhwodjRlGA54rt2G3\nHkUm9BzmRw7wA0YerSZ5QbibCkmYNzj7RePTcBRq+6oVVSUAAzpW4ak2XugNZjQaBdOXnCI2sfQ3\nMFfx0ODhoibp+HVeH1yDH9dmcu3SFQbY/Um0LgFFsVVoRiKmsD7LClpxVS79c0WfaOHOpr13vlhh\nzoQwPpqTwfGzZTfWYWnWiyH/PJmHZpB3+tbHqc2dO5fly5ezdu1a6zRvb2/ef/99Ro4ceds6W7du\nTXJyMpcuXeLnn3+md+/e9xRz7969+fnnn0s178iRI/Hw8GDSpEklptemCy0YjQPld2DTboQXLQd7\nYCiSUeskVr9zlpTNV8utvpsNnRvA/uU5JK4tn4cSXCeLvczgKGvvPvN98vf3JyEhgbi4OCRJQpZl\ncnNzOXToEBMnTiy3em2t+HID1mXv3bs3V66U3d/ziy++4KuvvuLUqVuviB4yZAi5ubn8+uuvZVbf\no6BCLwHMO72Zq2d34BnyHF6hg1Eoy39YHx9PDX2iqzDgv4eRZaheRcsH/6pJbGJSqcsIr+uCvU5B\n0vHrfLnwOJ10B+njugcHqeiWeRXIPKk7TKQ2lZUFLVlX2BhzKZqjX+zl+48Js6zdbb2YTQVkJy/k\nYsoiZHPpL8/Pysq6Y7IEeOGFF5g8eTKXLl2652SpVqsZN25cqRPmzbwII5L/UIV7vwH+Xrj7a2g9\n3IuPmyYhy+AZpGXI7BoVmjDLmwPetGciYfRlF5PJJrlc6klJSaFDhw7lUnZlVhHLPX78+Dt+tmDB\ngnKt+2FV4dfMy2YD2Uk/kJPxO1UbjMS1Rkcox6GQnOxVaNQSWrWCQr2ZMxeKeHFiEoG+drw9LBBZ\nlrleaOLdb9JxdlDy0chanMkqoo6/PckZ1/lqySlG9KuOwSijyz3NsO5VubwkHeemT6F0cEbjXRWN\nhzdZvy3BNTIatbsXp2Z8jMPlbP7zjA9vBnmRjSuz1uayfvclJo2oSXaOntBAR6p6aPjvjKOE13Mh\nuIY9X4ytw+tT0/jo1Vp4u2uw0yr5dvlpdhws+/7CO62XWn52vDnQlYK80+Rd6cXQob/QsGFD3nzz\nTYqKivD392fFihV8+umnAERHRzN69Gj8/PwYNGgQubm5rFixghYtWvDGG2/w9NNPYzKZ+O2334iL\ni6NXr16EhYXRt29f4uPj8fb2plGjRnz99deYTCZ27drFW2+9RXR0NJMmTaKoqIicnBwGDBjAl19+\nSb169Zg+fTqvvfYaM2fOJDAwELVazYQJE9i2bRvR0dFMmTKFzMxMzp8/T3p6OvZ40ILR1KZrhQy7\nZeeiRKWVUOkUGArMXDxexJfRaVQN0fHsDH/MZii6amLe8xnYu6l4fn4gF48XUb2BHacO5PPjyycJ\nfdKZnpOqoc83k3fByNznjjN41t9njfW6utC0rxvzXzhB38nVCWjugEqnYPt3Wez64VK5L+MNVWhA\nL+ZzlDXsZTr5lG/dbdu2ZdSoUfTv35+nn36acePGYTAYiIuL44033mDIkCF06dIFHx8fUlJSiI2N\n5YcffgAgMTGR1q1bk5v7cPa/z507l8zMTJo0aWLd3w4dOsSIESMYOHAgJpOJVatWMXXqVCZMmEBQ\nUBABAQE8+eSTLFy4ED8/P3bv3k3//v3x9/dn8+bNvPrqq/Tv35927doBUL9+fV599VVCQkK4ePEi\niYmJjBo1ClmWCQ4OZuXKlUyaNIkOHTpY97O0tDSysrJuacl5FNnsShxjQTZnYj/geMy/KMgpn6NT\ngLRT+SSmX2Pd9MZMGlGTji3dUUjw9rAAPpiVzssfJbP78BWe7WRpJg4NdGDKopM883YCbRq7YjDK\nrN6Wza/rjtP52Aw0xYZHUto7cGrGx+Qd2INreDvL+/g9ODVshn3NENTuXmROfQfT9H/zah8f1CrL\nj7VKqWDEJ8ksXpfJU228mP97JnnXTYyfkoaLo4o/D+Xy4sQkXp+axqv9/SpsvRRdSeHfPQoZ9XJf\notu3Zfv27YwZMwaApk2bMnDgQCIjIxk+fDiurq4AmM1munbtyrRp0xg6dCgAsmxpoh4/fjyRkZG0\nbt2anJwcYmJiOHjwIM8//zxnzpyxzvfVV18xfPhw2rZtS5UqVahevTqurq48++yzREdHc/XqVTp2\n7Mjnn39Oamoqo0ePZuDAgZw7d44nnniCp59+mq+++gqAjz/+mIEDB9K5c2e8PL3woTED+Jk6dKuw\nMSrPJhRwct91Ps6oz9C5ATTp64akgGem+7Pw5ZN81TGNpI15tB/lDYB/E3t+fvMMHzdPpl4XF3RO\nCqJe9WL5uDN8GZ3GviWXcfC49dhWlkGplriYUcTkdqlMbptCj0m+FbKMxUlI1KEbA/iZRjyPEnXZ\nlS3d+jeTZRl7e3veeecd2rdvT3R0NP7+/rRs2RIAPz8/oqKimDZtGgMGDAAgJCSE9PT0hyZZ3m65\nwdLK0qVLF6ZNm8aQIUOoUaMGffv2pU2bNkRFRdG3b198fX2t80ZFRdGxY0c0Gg2tWrVi8+bN+Pj4\nlCjzgw8+IDo6mrFjx5KSksLKlSuBv/fj5s2bM3jwYCIjIxk1ahQAn376KYMGDaJTp040bty4vFZD\npWPzu7LzLyWSvvFFXAO6UbXBCFQ69zKv491v0gnw0RHZ0JXnn/Kl/5NVqRvkwPsv10SSQK2SSEy3\n3KB96kIhOVeNAGTlGHC0VwIg/dVPWXwzLjh5DADjlRwKzJbPTVdzUdo7YhdUB7uAWtQY8x4SkAV4\nuVkuLolPsfQTnr+kp15NJ0u5fxWcd91I/VqO9HuiCrIMLo7l9ye6sV5a1lUzMFpNt4Y1CK5dg/37\n9wOwZcsWJkyYwJYtW4iNjaWw0HKRR2JiIrVq1QJg586dAJw9e5bw8PAS5S9fvpyYmBgWL17MokWL\nrNNv/jEIDg4mKcnSFDxs2DAAgoKCmDNnDiqVisDAQGJiYkp850Yibt26NZIkodVqUalUBAQEcOTI\nEQJpT+62AHx1Lhy0wVWd854/QZU6WsI6udDx9aq0G+FFjWYODJ5VA0kCpUbByX2WbS77WCHXLlq2\nudxzBuxclMQvz2HQ9zWI/fEScUsuczXLeNt6TAYZRw8Vr+8MwaQ34+hpu11ajT0teJUQehHLV2Sw\n5YHLDA4OJiYmxtqPt2nTJgDq1q2Lv78/69evR5IknJ2dqVHD8ujCffv2AZCUlISLiwvu7u707Nmz\nxDZY2d283KmpqciyzI4dOwA4c+YMLVq0oEWLFtSuXds6r4ODAwEBAQDs3bsXgNDQUP780/KIwDVr\n1mA03rot2dnZMWvWLJ555hlMN43kEh8fj16vR6/XW6fVqFGDhIQEa5lKpbLM10FlZPOEeUPuiT/I\nO7MZr7Dn8awzAElRdlcuqlUSJzILOZF5nsXrzvPblEbY6ZS8NKlkP6aPp+aWUX/+6ZxELj6zudh7\nSUI2GsndtZmLG1YD8O/cYVwwW26GN5nk4rOW0LW1J84OKoa+dwQXRxVLPi6//jaVwsC+LQtZ8/U8\n3jUWkJqaire3t/VzjUaD2WwGKLFDKBQK6/TiO9/NiXDUqFHUrl2bAQMGsHXr1lsS6g03yipu7ty5\ndOnShaNHjzJt2rRbPtfr9Xz00UcsW7asxHTZBN35lmo0Q6dwvtsqKDcqjcSFtCIupGWxZXoWE1Pr\noXVQMKVDWon53P01mIr9fkmS5T+xiy6TuC6Pxk+7MvLXWszsl45c7PI8pdqyrmu3caROe2cmt0lB\nlmHqFdsf7Tvjy5P8j7PsYzdfcJn0+y7r5r68tm3b0qhRI4qKioiLi6Nr164l5h8yZEiJH/bFixfT\np08foqOj6dGjx33HUdFu14c5d+7cW/a3oqIifv/991uuG+jQoYN1PUiSVCIJyvKt13lOnTqVGTNm\ncPz4rQ+pv12CLe525T2qKtXNkWZjARcOf0va2oHknd1eJmU+3d6b914Osv7b2UGFQiGxJ+EKrRpa\nmhU7RXjQvK7lx7X4b/6N97JZRqG4t+a8ghPHcGpgGT1eUql5dWjYP85/o3Q3JzVnsywXEz0Z7m5t\nxi1rXRrlMq77BS4c/hazsQA3NzcUCgWbN2+2JrZ27dpZr9Rr3LgxWq0WrVZLaGgoR4/e+fYSSZJw\ndHTk3Xff5ejRo3z44YdcvnwZZ2dnzGYzKpXKOh/AkSNHaNbMsq5mzZpFcHAwzs7OnD59GhcXF9q3\nb29N3mq1pbkvNjaWXr16AeDl5cWnH35Oa96i8KwDjWq1AiA4yqkc1tzdtXrBk+dm/v2gdns3JZIC\nkjflUbeTZTtr1t+NOlElWxeK6/qOD2ajzM7ZF4lbmkPVUDsKrphwqWZZ/lqtLQ8EcfBQkXNajyxD\ng6dcUChBUU7bzL3ypTl9WExr3kTL/R283KlpMi0tjdDQUDw8PAB47733qFr11qvvlyxZwrBhw8jM\nzKSo6NaL9CqrOy33zeLj4/n/9u48Lqp6/+P46www7LK5IAoiKoJ4zQ0tLRXcuu2aqWhaaVaaGlpm\nv8qysm5dt8ytNLVraZYWlqXXDAVzX0IzF1BABWRRQPZ15vz+mBgh8ToqMCyf5+Ph4zHMnOVzvp45\n73O+58w5QUFB2NgYLqBcuHAhWm3Fg43Y2Fjj92vQoEHG71+ZoUOH4ujoeEsX+iQnJ9OuXTs0Gg2D\nBmZ5EGcAACAASURBVA0yeby6rtYcYZZXkneJi3tfw75Zdzy6hGLdyOfmI93A5og0WnvYsm5OR/IL\n9VhaKHywOp6ktEJmP9+GcY96UFSsZ+YnZ3Gws6iwF1/2+vjZXD6Y6EOhrve1H5DcZKeqID6GvJiT\ntH71fQB+3Hq1wjT/LvpCHl/N6cgrC2NYMtOPTu0cCNuVRkpGMc8PbXHD8W5VUXYcl6I+Zt7Go3z0\n0UccOHCA3NxcLC0tmTx5MufPn2fZsmXo9XoyMzN55pln6NatG6dOnWL16tX4+vqyfPlycnJybrhn\nqaoqubm5NGnShAMHDpCTk8O+ffu4evUqkZGRbNq0iccee8w4fmhoKMuXL0dVVfbv3090dDTLli1j\n3759REdH89FHHzF79my2bduGVqtlw4YNxvObe/bswUHThB2z8+lAKT+8eYnnv2tD+vliMi4WV1pf\nddu35grufja8dsCPolw9GkuFDZMvciW+iDErvRk8053iApVVo+Kwdap8ncu4WMy0X33Jy9SRn1HK\njvkpZCYUM35da7oMdSHxWD5gCOH7X3Nn+k5fjm2+yomfshi1zKvK1pc7paChA8NowyCOsoKTbETl\n+h6FG7nROlZYWMi0adPYtm0bhYWFREVFkZKSct1wly9fJjc3l/Xr19/2MpiDr69vhS5ZRVHIy7v+\nvr6JiYksWrSI3bt3U1paSlhYWIUjbICffvqJcePGERkZSUREBOnphguzytr2/fffJycnh507d6Kq\nKps2bbrpUeOsWbMICwsjLi6OU6dOXdeNW1/V6O8wb4+Ca9uhNOs4AQut+brYmmkyWeS85rbHL98l\naw664mxS/1xBxrkwbvW/vE+fPrz44ovGCyhqi5bczT1Mx4XW5i5FmCiTePYzn0QO1sj83Nzc2Lp1\n6w1PBzQEzs7OBAUFERYWhoeHBzt27CAgIOCOpjlgwACio6NJSEhg+fLlRERE8M0331RRxbVXrTzC\nrEgl49x3ZF34haYdJ+DWdggoDeMEc5VQdaSfCyPtz5XoSurH7wCd8OQepuPFveYuRdwiF1rzAEu4\nwG8cYCFZJFTbvB555BFmz57NtGnTqm0edUFOTg7Dhw9nxowZKIpivPL9TiiKwubNm8nJySElJYVN\nmzZVQaW1Xx04wqzIulFrmnd5CYdmPWp0vnXxCDM39RDJUYsoyo6v0flWFyvs6MYEOjKywT12qz7S\nUcJJvuEoKykh39zlCHFTdW6rU5Qdz/nIUBw97qV556loHVrWyHzVO/wN352OfyuKcxNIPraYnEt7\namye1UlBoT2PEMgkbKn6nx0J87DAik48STse4DDLiObHWvcYMSHKq3NHmOUpGkvcfEfQtMPTaCzt\nq31+d1nFM9YukhYWpt/CLknnxtr8vhwv8a6+wv6iL80j7dQXpMd8g6r/35eC1xXudKYXr9CY9uYu\nRVSzK5xhH/NI4bi5SxGiUnU6MMtYWLvg3mkiLq0foLp/KaNBz2CbYwyz3V/pvWTL5Ko2fFdwN9sL\nO5t0L9k7oycz/mdS/vgUXVFmNc+rZjjQjJ68RBsGmrsUUcNi2cFBFpFLqrlLEaKCehGYZWxc/PDo\nEopd407VPi9HpYDhtnvpX+nTSjrxTUEvcm/haSW3K//KcS5FfUxhZv142rwl1tzFU9zFWCyxNnc5\nwkxKKeI4aznOfyil7vx+UtRv9Sowyzh5DsC982SsbJvefOA75GVxmafsIgiwSuBkiSdf5PcjoQae\nh1lSkEbKsSVkJfxa7fOqKW0ZTE+mYk/1/7+JuiGXVA7yCbH8Yu5ShKifgQmgaLQ08R9DE78nUSyq\n/0jF0+JyjQSlXlfIlTPruHz6S1S9eX6YX9Ua40cvXsGdu8xdiqilUjjOPuZxhTPmLkU0YPU2MMtY\n2TbFvfNknDwHmLuUO5aV8Cspx5ZQUpBm7lKqhC2u9OBFfHm4xp4kIuouFT0x/MQhllBA/ThXL+qW\neh+YZewad6J5l2nYutS9qy0LMs+QHPUx+Vf+MHcpVUKDJf9gFF0ZjxV25i5H1DEl5PM7n3OCr9FT\nP64GF3VDgwlMAwWX1g/RrNMLWFqb7zZ1piotyiT1j+Vkxv9MfflvakUf7iYUJ6rnOZ+i4cgigQN8\nzAWq5kENQtxMAwtMA42lHU0DxuHW7gkUTdU97LaqqPoS0mO+Je3UGvSl9eMOKC60phev0IKavUOT\nqP8SOch+5pNJ/bijlai9GmRgltE6tKR556k4etSee5LmXNpD8rFPKM5NNHcpVcIaR7rzAh0YhlK7\nniYn6hE9Ok7zHUf4lCLqxz2TRe3ToAOzjEOzHjTv8hLWjcz31Iui7HiSoz4mN/Ww2WqoSobHOj1O\nd1647WchCnGrisjmCJ9yik1ymz1R5SQwyyga3NoOpWnAszX6GDFdcTZpJz8n/dz3oJr+nMDarAWB\n9OIVXLj955gKcScyiGU/80mifuyAitpBAvNvLLSNaNZxAq5th1C9t9nTk3EujNQ/V6Irzq7G+dSc\nRrTgHqbTij7mLkUIAM4TyQEWkk2SuUsR9YAE5g1YN/LBo+s07Jt2q/Jp56YeITnqY4qy46p82uZg\nhS1deZaOhGBB7buISjRsOkr4k6/5nc8pocDc5Yg6TALzJhq16It75ylo7T3ueFrFeUmkHFtMdlL9\nuQy+PQ8TyIvY4WbuUoT4n/JJ5zBLiWaLuUsRdZQEpgkUjRWNfUfSpMNTaCxv/Yf2+tJ8Lp/6D1di\nNqDqS6qhwprXjH/Qi1doQgdzlyLELbnMKfYxj1ROmLsUUcdIYN4CSxs33DtNxNn7n2DSrdxUMs9v\nJfWP5ZQWmv4MzdrMnib05CXaMtjcpQhxR86xnYMsIo/L5i5F1BESmLfB1sWP5l2nYef2jxsOk59+\nguTfF1KQWT9uFm2Bls7Gx27ZmLscIapEKYUc4z8cZy066sfDDET1kcC8A86tBtOs0ySsbK89paSk\n4DKpfyzj6oXtZqysarVhID2ZigPu5i5FiGqRS8pfjxHbYe5SRC0mgXmHFAsbmvqPxbXtUNLPfWd4\n7Jau0NxlVQk3fOnFKzSni7lLEaJGJBPFPuaRToy5SxG1kARmlak/TWmLC4FMoj2PyO3sRIOjoiea\nHznMMnmMmKig/mzlxR3TYEFHQujKs2ixN3c5QphVMbn8zuf8yQb06MxdjqgFJDAFAF7cyz1Mwwkv\nc5ciRK2SxUX2s5CL7DF3KcLMJDAbOGe8uYfpeHKPuUsRolZLYB/7WcBVLpi7FGEmEpgNlBYHuvM8\nHXgCDRbmLkeIOkGPjpN8y1FWUEyuucsRNUwCs4FRUPBnKN15ARuczV2OEHVSIVc5wqec5nt5jFgD\nIoHZgLjhSxDv4Epbc5ciRL2QzlkimC0/Q2kg5DcDDYgXvSUshahCbrTDi97mLkPUEAlMIYQQwgQS\nmEIIIYQJJDCFEEIIE0hgCiGEECaQwBRCCCFMIIEpRC3UlIvmLkEI8TcNIjC9vLzQ6XQEBgZWeP/Q\noUOsWrWq0nH69OnDt99+WyXzj4uLw9bWtsqHrW2atLHmxS1tmbnfj/875M/wjz2xsFJMHt/VS8v/\nHfKvxgqr1z9fb86jc1pUeO+N3zvgEWD6A7ebcpHRfMCzvMko/lVpcI5f1xpLrentWle06+PAc9/6\nVHjvobea03dikxuMcfu6DK2bN+3w8vIiKyuL8PBwdu3axS+//EJQUNANh3d1deXEiRPMmTOHGTNm\n0KNHj1ue55AhQ+6k5HqlQQQmQGxsLCEhIca/fXx8cHb+318aVa2aezrcynSqap41TVHg+e/a8N8P\nU/jonjP8q8dpAB6c1fyWplNHFx+AHfNT6DLUmUbuVgD0HteY+AO5XDp58+ej2pLDP1nDOGbRijMA\neHOaccziftZgS45x2FWj4yktrsMN9T/UxP+/hZXCgOl192HoZ86coX///gQFBfH888+zePFiAgIC\nKh02ICCAmJgY3nzzTebOncuhQ4duaV6tWrWqsN1s6CzNXUBNOXjwIAMHDjT+PXLkSLZv346dnR29\ne/fmgw8+oLi4mISEBCZMmFBh3GnTpjFs2DAURWHr1q3MmTOHt956C2dnZ9q3b0/r1q0JDQ3ll19+\n4cknn2TKlCnodDoWLFjApk2bUBSFyZMn8+CDD2JhYcHgwYMpKipixYoV+Pj4oNVqeeuttwgPDwfA\nxcWFqKgo/Pz8AAgJCaFr167MmDGj5hrsFvkPbETK6UJi9167v+b3ryai10Pw1KZ0H+GKqsLxH67y\ny9wUnD2sGLvaG0utgl4Ha8efN1/xVaS0SOXn95J57P0WfP3iBQa83Ix5faJx97MhZIkXej0U5ej4\n4ul4CnP0DJvXEu9AO5xsctB9upXiNbtwW/0+anEJGlcnCn6KwPrergxu6sYD7VpxYO5Jvv6iKXPi\nOjM74CSjlnqRlVyCV1c7XDy1rBodR+LxAkYs8qT13Q4knyrAvb0NK0bEkZlQbO7muW2KAq/sbk9h\njp6IJWnYu1ow6FV3Mi4Wk5deypnwHA5+lc6TK1rRuLU1FlYKP751iZjIHKbv9OX0rzm0D3LE3s2S\nZY+cZfDM5rToaMPIxV5smFK3u77j4+OZM2cOkydP5o8//mDUqFHodDo2b97Mxx9/zIIFC/D09GTO\nnDl4eHiwceNGfvvtN9avX4+dnR12dnZMmTKFo0ePEhMTw4oVK3jooYfQarUMHDiQJUuWEBgYyBtv\nvMH7779v7sU1uwZzhFlSUsLBgweN3RePPvooW7duRVEUPvnkEx555BEGDhxIWloaw4cPrzCuqqr0\n7t2bXr168cwzz2Bvb3hWZIsWLXjwwQcJDQ3l+eefx97enlmzZnHvvfdy//33M2rUKOM0Tpw4Qb9+\n/bhw4QL9+/cnJCSEgoICgoKCePzxx1m6dKlx2MzMTI4fP07Pnj2Nta5fv766m+iOuPvZkHAsv8J7\npcUqLi2suHusG//ufYZ5fc7QfbgLjVtrefhdD/Z8foUFwTFELk/j4Xc8zFR51Tr8dQbN/W0Ys9Kb\nfauvkJdeysjFXnz53AUWDYrh1I5sgiY3NXSpxseR3XcIBX0epMl7zxunoU+/ypXh0wDQdmzH5ccm\nc2XIZO6e0oYJvIGlei38LKwUPvnnWXZ+kso9Y93wCLChTS8HPux5mh3zUvDqZlfjbVAdPDvbsWpU\nHH9uy+Kxf7VkQXAMK4bH0fY+RwB6jHLl6qUSFg6IYfmQcwxf5Gkct+BqKR8PjOHkf7PoPMSFX+am\nkBJdVOfDsszRo0d54IEHePzxx7nvvvvo168fw4YNo0WLFrz88stERkby5ptvGod3d3dn5cqVDBgw\ngNdff52ZM2cCYGlpycmTJ+nXrx/x8fEEBwczd+5cIiMjJSz/0mCOMAE2btzIqFGjSE1NJTExkdzc\nXJo1a0bbtm35/vvvURQFOzs7Ll++TFJSknG8goICdu/eTWlpKW5ubri6ugKwZ4/h+XiJiYk4OTnh\n7+/P6dOnKSkpoaSkhKFDhxqnsXfvXgAuXbqEk5MT3bt3JyIiAoCUlBQKCwtxdnZGUQznpr788ktG\njhzJ0aNH8fb2Jioqqiaa6LapKmgsrj+v5tnFjvgDeYZh9HBuby4t77KjVTd7wl4ztHH0rhwenFU/\nAhMg7PUkxn3Zmi+ejgfAu4c9Y1a2QlHAQqvhwuE8HIpTCXSLw2bPXCguwaKxi3H8okMnrr3efwwA\nXWIqGicHGnMJByULZ9IAL87+ZuiqzUwswbuHPe7+tsT91d6XThaSfr7uHlmWUVW4HFtEQZYOh8aW\nFGTpyEsvBeDMr9kA+PRyoO29hn+KAlbWChpLw/p49jdDr8fVxGLsXOvfJs/R0ZHc3FzatWtHeHg4\niqLg4OCAt7d3pcOnpqYya9YsZsyYgbW1Nbm513qFyrZpSUlJODk5kZWVVROLUGfUv7XnBlRVJTw8\nnKVLl5KcnGzsKi0uLiYpKYn+/ftXGL5Pnz4AeHp6Mn36dO666y4KCwv5448/jMOUlpYaXyuKQmlp\nKRYWlT8q6+/D6vV6YzgCaLVa9Hq98e9t27bx3nvvERwczE8//XRnC18DUs4UEjS5aYX3LKwUPAJs\nDbf4/4ultYKqN2wEyxbfUqug6uvPObkrcUVcvVSCXmf4uzhPx8L+FW/O3fU+Z2yCepB63xhQVTyz\nrp1bUotLrr0u1V0b6a8GU1UVBcO6oi8t//FfDVpHTwTnXi7FzqXiJsmhiRUF2XrjOVtFodLlKy1S\n2fZ+Mke+zbzuM33pteGV+netFIGBgVhbW/Pzzz8zadKkCp+VbcfKCw0NJTExkaeeeoquXbsyd+5c\n42d/306JihpMlywYVobdu3czbtw4tmzZAhi6PwHj+cIXX3yxwgn0xo0bk5qaSmFhIV26dMHLywtr\na+tKpx8dHY2vry+2trZYW1uzffv2G9Zy+PBhgoODAWjZsiV6vZ7s7Gzj5zqdjt27d/Puu++ybt26\nO1vwGnB6RzauXlo6PuAEGDZMQz9qSdN21vjcY9jr11hA6x72XPw9jwuH82gfbOhO8+3nyIUj+cbx\n6oPyy5F4vICAwY0A6D7cBd9+jtg11lKakAKqiu3DQWChAUvT9l//14bscmwRnl0Npwzc/Wxw9dLe\n/kLUsNSYQpxbWNG4taFmh8aW+PZz5NyeHGN75qaXYudqiU0jC6xsFHz7Gdah84fyuOsxw0V8jk0s\nr7tauTxVr97S1du1Tfn/fx8fH0JDQ+nbty/BwcHY2BiuyF64cCFabeX/925ubsTGxgKGK2BvNByA\nXq/HysqqCquv2xrMEWaZjRs30rhxY2M3hKqqjB8/njVr1lBUVMSlS5f47LPP6NWrFwBRUVHk5eWx\ne/du9uzZw2effcbSpUuNXRflFRQU8PbbbxMeHo6qqixYsMA4jzJlrzds2EBQUBDh4eFYWVnx3HPP\nXTfsN998Q2BgIPHx8dXTGFVs0eAYxqz05qG3PdAV6zm9I5uN0xPo80ITXtndHhSF31ZeITOxhB/f\nvsTYVd7cN6EJJUUqa8efNxxp1s2Do+uUX45vQhMYs6IVg2e6U1ygsmpUHNn6K1jN9KbZzjXkbw6n\n4KdIXJfNMunosGwdqWzQhKh80s4WMnO/HwlR+SSfKkDV1Y1G1etg9eg4xqz0BsWw07FhykVy0kqN\ny6rqYeucZGb81p60s0WcP5yHXqdy5JsM2gc7MmOPHxoN/Pj2JcPwlSx6VnIJllqFCRt8WDkyruYW\nsIr4+voSHh6OjY0NGo2GSZMmkZSUxMKFC42njjZv3kxxccXu+LL15ssvv2Tt2rU88cQTLFmyhJEj\nR/LUU09Vup06ffo0Xbp0Yd68ebzyyis1t5C1lDwPsxZ7++23iY+PZ+3atVUyvS48QyCTbj6gqHYu\npDCRV297/OX8m0yu/2mEhZVC9xEuHPwqAytbDe+cDuCN1ifqzY4IGH5DeSY8h4IsHVO3tWPL7EvE\nH8wzWz2HWUYUa8w2f1FzGtwRZl2xZcsW8vPzeeedd8xdiqhDdCUq3oH2BE9thl6n8sObSfUqLAG0\ndhqm72pPUa6OxGP5Zg1L0bBIYNZSDz/8sLlLEHXUNy8lmLuEanXwqwwOfpVh7jJEA9SgLvoRQggh\nbpcEphBmoN7hV+9OxxdC3Dr51glhBldpygZe5gq3dq/dK3iwgVe4StObDyyEqFJyDlMIM4njLlbS\nke78yn2EYUP+DYctwJ49PMYRBqBS+c0xhBDVSwJTCDNSseAwg/mTXvRlE52JQFPul156FKIIIpJh\nFOJgxkqFEBKYQtQCBTjyX57hd/ozgHV4c5rz+LODJ7mM580nIISodhKYQtQiaXixnv+jCQkSlELU\nMnLRjxC1kISlELWPBKYQQghhAglMIYQQwgQSmEIIIYQJJDCFEEIIE0hgCiGEECaQwBRCCCFMIIEp\nhBBCmEACUwghhDCBBKYQQghhAglMIYQQwgQSmEIIIYQJJDCFEEIIE0hgCiGEECaQwBRCCCFMIIEp\nhBBCmEACUwghhDCBBKYQQghhAglMIYQQwgQSmEIIIYQJJDCFEEIIE0hgCiGEECaQwBRCCCFMIIEp\nhBBCmEACUwghhDCBBKYQQghhAglMIYQQwgQSmFXEx9PZ3CUIIYSoRpbmLqCu8/F05sVRXens15So\n02ks+/p34hKumrssIYQQVUyOMP8yceJE9u3bx65du9i/fz/BwcH/c/hGDlqmPRXIZ7MH09mvKQBd\n/Jvy2ezB5GRl0MhBWxNl1xqNfayZuLkNM/f5MXOfH89+7YO9q0WFYToMasR9zzUGoMvQa0fk5V/X\nJ30nNmHmPj+m72rPzP1++AU7mjTe+HWtsdQq1Vydebl6afk4qwvTwn2ZFu7LjD1++NxjXyXT1tpp\neD/uH0DdbMuRI0dSVFSEi4uLWetYt24dWm3D2o7djBxhAl5eXkyYMIFu3bqhqio+Pj58/vnn7Ny5\n87phLSwUHuvvy5hHA3C0u35l0mgUtFYa1n70EF/+cJKwX2PQ69WaWAyzURR44bs2rJ94gbgDeQAM\nmuHOiEVerB4Tbxzu1C/Zxtf3v9acqO+vYmGlMGC6O1Hf16+jclcvLfdOaMIH3U6hqoYdirGft+LM\nzpybjrtqdPxNh6kPUs4UsrB/DABt73Xgobc8+OSfZ+94uooC6l9fubrYliEhIZw7d45hw4axcuVK\ns9UxevRos827tpLABJycnLC2tsbGxoaCggLi4uIIDg4mICCApUuXotPpyMnJYdG/ZzJj4qN0u+9x\nVL0eR7dWXPjjB1xb3IWDaytij6znSsJRUBS69B1P38fbMC/zCiNGDOdkbBZr1qzB2dkZS0tLpkyZ\nwsmTJ4mOjubnn38mLS2NDz/80NxNcVv8BzYi6USBMSwBfpmbAsBTq70pLVaxd7Xgj5+yaNHRluzU\nElreZctzG33ITimlRUcbRi72olV3Oz4PiSP9fDHOHlZM+qEtHwSeNtdi3RFbJwssrRUsbTSUFOi5\nElfEguAY3P1sCFnihV4PRTk6vng6HjsXS8ava01Btp6IpWmELPFidsBJ7F0sGLvaG0utgl4Ha8ef\nB+D5TW34Vw9Du/zfIX8+fTwW9/Y2PDrHg+J8PdmppawaHYeqN2MDmEApd+DXqJkVmYnFFdaXz0Pi\neHKFN419rLHUKmx5+xKnf83Gt68jj77fAl2xnszEEv4z7jxWNgovfNcGS2sNsXtzjdN9P+4fzA44\nyailXmQll+DV1Q4XTy2rRseReLyAEYs8aX23A8mnCnBvb8OKEXFkJhSboTUMnJ2dCQwMZNy4ccyc\nOZOVK1fSv39/Fi5cSHJyMjExMaSlpfHBBx+wbt06PD092b9/P8OHD8fLy4udO3fy559/oqoqr7/+\neqXbnFdffZUhQ4ag0+nYsmULH330UaXvxcXF0bdvX3bs2IGfnx8AY8aMoVOnTsyfP59Vq1ZhZWWF\nTqfj2WefJSkpyWztVlOkSxY4ceIEhw8fJj4+ntWrVzNs2DA0Gg2LFi3i5Zdfpn///hz7/QCrls6h\nmZs9ji6tOLV7MdH7V+PTbSSn9ywnZv9q3Nv2AcDK2oHUuL38vm02ttYWrJj/ErPeeJVt27YxaNAg\nJk2axIIFCwzDWlmxdevWOhuWAO5+NiSdKLjh53nppawYHgcY9vx3zE8l/6qOFU/E8cvcFFKii9gw\n5SIH1qYTONIVgE6POHNofUaN1F8dkk4UcOFwHh/E/4OnVnvTdZgLigZGLvbiy+cusGhQDKd2ZBM0\n2dCd3/IuO1aNiuPPrVnGo6OH3/Vgz+dXWBAcQ+TyNB5+xwO4dvRU/nW/yU3YOD2RBcExHN6QgYNb\n7d8Xbtbehmnhvszc58ew+S3ZMT8VuLa+BIa4UlKgZ0FQNJ8+HsvIJV4AjFruxYonYlkQHEN+Zik9\nR7vS80k3kk4UML9fNAnH8o3zKN9WFlYKn/zzLDs/SeWesW54BNjQppcDH/Y8zY55KXh1s6vR5a/M\nE088wZYtW9i+fTtt27alefPmfPjhh4wePZrBgwfTpUsXAO6//360Wi29e/dm586dNG/e3DiNEydO\n8NJLLxEaGlrpNufll1+mV69e3HvvvWRmZt7wPVVVuXLlChcvXjQG5qOPPsqmTZt47733mDdvHoMG\nDWLRokW89dZbNdlMZlP7v1U15Omnn8bX15fBgwczY8YMJk6ciL+/P0ePHgVg397fmDR+KJnJp8jJ\nvICq6ikuuEpBVjJ6XQnFhVlYWhm+cHpdCTnphoDIuRKLnZMH3QObENT/fsaMGQOAjY2Ncd6HDx+u\n4aWtWqoeLMqtSRPD2mDrZIFzSy0Xj+YTfyjvunGUSk4rHd6QwdT/+vLfD1Po9JATa5+9UI1VV78v\nnj5PM19rOgx2YtAMd/pObEKr7vaMWdkKRQELrYYLhw1tczm2iIIsnXFcRYFW3e0Je82w1x69K4cH\nZ3lcN4+ydvx9YyajP2vFwa/SObIhg5zLpdW/gHeofJds03bWPL+pDQnHrq0vrbrbEx1h6MLOTimh\npFCPnbMFqh6ykksAiInIoV1fRxQFYiJzjO+VKb+enf3N8H5mYgnePexx97c19opcOllI+nnzHVmW\nGTVqFO+++y6qqvLdd98xYsQIvLy8OHHiBABbt27FwsICf39/9u7da3yvtPTa//ehQ4cA6NWrF40b\nN75um7Nx40bCw8NZv34969atu+F7ZcLCwnj44YeJi4ujQ4cOHDx4kNWrV+Pr68usWbPQaDSkpaVV\nb8PUEhKYf9FqtcTExBATE8PixYuJjo6madOmFT5X/9pdVfXX+rrUcv1eStm3U/3bOUtVpbi4mClT\nphhX5msfGT6ryy6dLCB46rW2Wj4kFjB0hyka0BWbdg43P1PH1cRiWnWzA0UhO6WkWuqtKZZahdSY\nIlJj0ti1OI13oztiba8xhkQZVy8tpX9rI1UF1GsbfEutgqpXUdWKIWBhZfjj4LoM/vxvNl2G2m76\nlAAABupJREFUODPpx7Z8NiyWtLNF1bl4VSrtbBElBXpUXbn15W/LaqlVDMtfrl/MQqug6kFjibEL\nuvzn5b+K+nL7EDf8rpqRh4cHPXv2ZP78+QDY2tqSlZVVYRi1XL36Ctuha++XbU9utM2ZPHky7dq1\nY8SIEURGRhIYGFjhvYiICHr27Glso7CwML799ltOnjzJ9u3bjdN+4oknGkxQlpEuWWDcuHGsWLHC\n+LeLiwsajYadO3fSs2dPAO6+515yrsSZND2NpRYHV28AGjVpS15WElG/H2HIkCEA+Pv789JLLwHl\nvrh1WPSuHFxaaun4gJPxPc8udlg7aNDrKt8gKRrDcqt61bjRBzj4VTohS734fVPd7Y4F6D2uMU+u\naGX8287FAkUDp3/NJmBwIwC6D3fBt5/hytnyq0HZ6/OH8mj/15W1vv0cuXAkn8JsHY2aGfZzGzWz\npLGPNQAPvNEcfanKns+vcOSbTJp3sK3uRbxj5ZfZzsUCp+ZWFdaF84fzaB9kWH6XllaoeijI0qHq\nwbmFFQC+fR05fziPlOhCvAMNV9m2D25U6Tz+7nJsEZ5dDeO4+9ng6mXeK0JDQkJYsmQJXbt2pWvX\nrvj7++Pq6oq9vT3t2rVDo9EwaNAgAGJjYwkMDARg0KBBWFpef+xz8ODBCtuc0NBQHB0defPNNzl7\n9ixz5swhPT2dFi1aVHgvIyODRo2utWFKSgqqqhISEsKmTZsAOHDggHHaQUFBjBgxolrbpraQI0xg\nzZo1+Pn5ceDAAXJzc7G0tGTy5MmcP3+eZcuWodfrKczPIfH0Dzi6+dx0ekX5mbj79Maxx1iKC66S\nkXScNat28a+5S4iMjESj0TB16lSg4p5hXbbo/rOMWurFQ281R1eiUpSrZ+nD57jvuSaVDp8Qlc/M\n/X78u/cZLLUKEzb4sHJkHMe3ZPHkilb8vimzhpegau1bcwV3PxteO+BHUa4ejaXChskXuRJfxJiV\n3gye6U5xgcqqUXHYOllUel7yx7cvMXaVN/dNaEJJkcra8ecpyNJxakc2rx30J/F4PglRhvN1GReL\nmfarL3kZpeRn6tgxP8UMS31rmvlaMy3cF0UBS2sNX794kc5Drv2U4vCGDHz7OTIt3BcLK4WvnjN0\n0X854TzPfu2DrkTlcmwRRzZkYO1owcSwNrz0iy+xe3NR/7oyvawtK/uaJUTlk3a2kJn7/UiIyif5\nVAHqDXbwasLIkSMZO3Zshfe++OIL9Ho933//PfHx8Zw6dQqdTsfPP//M+PHjiYyMJCIigvT0dKDi\n9mTx4sV88cUXFbY5OTk5NGnShAMHDpCTk8PevXtJTEy87r2rV69WmNaPP/7I1KlTjd2777zzDmvW\nrCEkJAS9Xs/TTz9d/Q1UCyhA/dhiVzOPpg58+dFDtz3+mJk/cSkt9+YDVqMuPEMgk8xaw8349nPk\nnrFu/GfceXOXIuo5CyuF7iNcOPhVBla2Gt45HcAbrU/cci/tYZYRxZrqKRIYMGAA0dHRJCQksHz5\nciIiIti+fTtBQUGEhYXh4eHBjh07CAgIqLYahIEcYYpa46G3PegwqBGfPh5r7lJEA6ArUfEOtCd4\najP0OpUf3kyqTac0jRRFYfPmzeTk5JCSkmLsFh0+fDgzZsxAURRCQ0PNXGXDIEeYJpIjTCFEZar7\nCFPUHnLRj4nu9FxjfTlXKYQQDZUEpomSL+fx2oJILiZn33zgci5cymbm/AiSL1//W0QhhBB1h5zD\nvAWHTyQz/mQKj/Vvx9jHOlZ6L9kyOXnFrP3hTzaHn63395IVQoiGQALzFun1Kt/viOHX/ecZN7QT\nD/Ztg0ajVPj8p4hYVn//Bzl5dfuGBEIIIa6RwLxN2bnFfLz2CD/uOsekkK508Tc8D3Pp+qPEJ2bd\nfAJCCCHqFAnMOxSXcJVX/r2T1i2dJCiFEKIek4t+qoiEpRBC1G8SmEIIIYQJJDCFEEIIE0hgCiGE\nECaQwBRCCCFMIIEphBBCmEACUwghhDCBBKYQQghhAglMIYQQwgQSmEIIIYQJJDCFEEIIE0hgCiGE\nECaQwBRCCCFMIIEphBBCmEACUwghhDCBBKYQQghhAglMIYQQwgQSmEIIIYQJJDCFEEIIE0hgCiGE\nECaQwBRCCCFMIIEphBBCmEACUwghhDCBBKYQQghhAglMIYQQwgQSmEIIIYQJJDCFEEIIE0hgCiGE\nECaQwBRCCCFMIIEphBBCmEACUwghhDCBBKYQQghhAglMIYQQwgQSmEIIIYQJJDCFEEIIE0hgCiGE\nECaQwBRCCCFMIIEphBBCmEABVHMXIYQQQtR2coQphBBCmEACUwghhDCBBKYQQghhAglMIYQQwgQS\nmEIIIYQJ/h/f4D/z+wJL6gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb39c0b6310>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "playlist_id = raw_input(\"Enter Playlist ID: \")\n",
    "mood_maker(playlist_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcwAAAEzCAYAAAC8HzNKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd2b2b7db90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mood_maker('3xgbBiNc7mh3erYsCl8Fwg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdwAAAE2CAYAAADLfCMRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6a788cd850>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Testing ground\n",
    "songs = get_songs(['6CRNGyV2hoQDyYpUPjHrkz']) #'6CRNGyV2hoQDyYpUPjHrkz', '6uTuhSs7qiEPfCI3QDHXsL' top classical playlist\n",
    "songs_df = master_df[master_df['id'].isin(songs)]\n",
    "\n",
    "n = songs_df['mood_predict_map'].value_counts()\n",
    "nplus = pd.DataFrame(n).reset_index()\n",
    "nplus['mood'] = nplus['index'].apply(find_mood)\n",
    "nplus.columns = ['coord', 'value', 'mood']\n",
    "\n",
    "plus = len(songs_df)\n",
    "\n",
    "\n",
    "fig = plt.figure(dpi = 300, figsize=(8,5))\n",
    "axes = fig.add_subplot(1, 1, 1)\n",
    "colors = iter(cm.rainbow(np.linspace(0, 1, len(n))))\n",
    "\n",
    "for index, items in nplus.iterrows():\n",
    "    axes.plot(items[0][0], items[0][1], marker='h', markersize = items[1]/plus*600, alpha=0.5, label=items[2],\n",
    "              color = next(colors))\n",
    "\n",
    "axes.set_xlim(-3, 3)\n",
    "axes.set_ylim(-3, 3)\n",
    "axes.set_xticklabels(['', -2, -1, 0, 1, 2, '']) \n",
    "axes.set_yticklabels(['', -2, -1, 0, 1, 2, ''])\n",
    "for k, v in reverse_mood_map.iteritems():\n",
    "    plt.annotate(v, k, ha='center', size=10)\n",
    "plt.savefig('test_image.png');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualization for presentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1MAAAI8CAYAAAAUbfGnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAMCG/wdLEGIdgXvQGwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb39c4f3c90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(dpi = 300, figsize=(15,10))\n",
    "axes = fig.add_subplot(1, 1, 1)\n",
    "# colors = iter(cm.rainbow(np.linspace(0, 1, len(n))))\n",
    "\n",
    "# for index, items in nplus.iterrows():\n",
    "#     axes.plot(items[0][0], items[0][1], marker='h', markersize = items[1]/plus*600, alpha=0.5, label=items[2],\n",
    "#               color = next(colors))\n",
    "\n",
    "axes.set_xlim(-3, 3)\n",
    "axes.set_ylim(-3, 3)\n",
    "axes.set_xticklabels(['', -2, -1, 0, 1, 2, '']) \n",
    "axes.set_yticklabels(['', -2, -1, 0, 1, 2, ''], )\n",
    "\n",
    "axes.spines['left'].set_position('center')\n",
    "axes.spines['bottom'].set_position('center')\n",
    "\n",
    "# Eliminate upper and right axes\n",
    "axes.spines['right'].set_color('none')\n",
    "axes.spines['top'].set_color('none')\n",
    "\n",
    "# Show ticks in the left and lower axes only\n",
    "axes.xaxis.set_ticks_position('bottom')\n",
    "axes.yaxis.set_ticks_position('left')\n",
    "axes.set_axis_bgcolor('black')\n",
    "for k, v in reverse_mood_map.iteritems():\n",
    "    plt.annotate(v, k, ha='center', size=23, color='white')\n",
    "plt.savefig('mood_taxonomy.png', bbox_inches='tight', pad_inches=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "u'Top Classical'"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify.user_playlist('spotify', '6CRNGyV2hoQDyYpUPjHrkz')['name']"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}