{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import time\n",
    "os.chdir(os.path.dirname(INSERT_PATH_HERE))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import requests\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import json\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "96 entities not found\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv ('1kmovies.csv',sep=\"\\t\")\n",
    "dfX = df[['Movie']]\n",
    "\n",
    "not_found = 0\n",
    "\n",
    "vectors = []\n",
    "entities =list(dict.fromkeys(df['Movie'].to_list()))\n",
    "for e in entities:\n",
    "    entity = e[e.rindex(\"/\")+1:]\n",
    "    r = requests.get(\"http://kgvec2go.org/rest/get-vector/dbpedia/\" + entity)\n",
    "    x = json.loads(r.text)\n",
    "    # Catch case that an entity is not found in the API\n",
    "    if 'vector' in x:\n",
    "        vectors.append(x['vector'])\n",
    "    else:\n",
    "        vectors.append(np.zeros(200))\n",
    "        not_found = not_found + 1\n",
    "\n",
    "print(str(not_found) + \" entities not found\")\n",
    "dfXvectors = pd.DataFrame.from_records(vectors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Movie</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>...</th>\n",
       "      <th>190</th>\n",
       "      <th>191</th>\n",
       "      <th>192</th>\n",
       "      <th>193</th>\n",
       "      <th>194</th>\n",
       "      <th>195</th>\n",
       "      <th>196</th>\n",
       "      <th>197</th>\n",
       "      <th>198</th>\n",
       "      <th>199</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>http://dbpedia.org/resource/Playhouse_90</td>\n",
       "      <td>-0.137760</td>\n",
       "      <td>-0.589059</td>\n",
       "      <td>-0.037958</td>\n",
       "      <td>-0.534860</td>\n",
       "      <td>-0.413675</td>\n",
       "      <td>0.489986</td>\n",
       "      <td>0.834827</td>\n",
       "      <td>0.483092</td>\n",
       "      <td>-0.237307</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.746374</td>\n",
       "      <td>0.178704</td>\n",
       "      <td>-0.300927</td>\n",
       "      <td>1.041487</td>\n",
       "      <td>-0.114665</td>\n",
       "      <td>0.074592</td>\n",
       "      <td>-0.048673</td>\n",
       "      <td>0.689411</td>\n",
       "      <td>-0.375839</td>\n",
       "      <td>0.637875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>http://dbpedia.org/resource/Looney_Tunes</td>\n",
       "      <td>-1.042180</td>\n",
       "      <td>-0.426787</td>\n",
       "      <td>0.223503</td>\n",
       "      <td>-0.041168</td>\n",
       "      <td>-0.413734</td>\n",
       "      <td>0.103594</td>\n",
       "      <td>0.745793</td>\n",
       "      <td>-0.070818</td>\n",
       "      <td>-0.486270</td>\n",
       "      <td>...</td>\n",
       "      <td>0.041576</td>\n",
       "      <td>-0.289932</td>\n",
       "      <td>-0.011391</td>\n",
       "      <td>0.744024</td>\n",
       "      <td>0.575132</td>\n",
       "      <td>-0.176852</td>\n",
       "      <td>-0.289161</td>\n",
       "      <td>0.196203</td>\n",
       "      <td>-1.127021</td>\n",
       "      <td>0.352837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>http://dbpedia.org/resource/Merrie_Melodies</td>\n",
       "      <td>-0.735772</td>\n",
       "      <td>-0.306961</td>\n",
       "      <td>-0.005732</td>\n",
       "      <td>0.092917</td>\n",
       "      <td>-0.477233</td>\n",
       "      <td>-0.022962</td>\n",
       "      <td>0.886615</td>\n",
       "      <td>-0.086885</td>\n",
       "      <td>-0.621619</td>\n",
       "      <td>...</td>\n",
       "      <td>0.165683</td>\n",
       "      <td>-0.267800</td>\n",
       "      <td>-0.212183</td>\n",
       "      <td>0.835690</td>\n",
       "      <td>0.536859</td>\n",
       "      <td>0.230216</td>\n",
       "      <td>-0.452382</td>\n",
       "      <td>0.141061</td>\n",
       "      <td>-1.083207</td>\n",
       "      <td>0.298553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>http://dbpedia.org/resource/American_Playhouse</td>\n",
       "      <td>-0.218308</td>\n",
       "      <td>-0.383118</td>\n",
       "      <td>0.698063</td>\n",
       "      <td>0.291182</td>\n",
       "      <td>-0.129309</td>\n",
       "      <td>0.227223</td>\n",
       "      <td>0.160146</td>\n",
       "      <td>0.404174</td>\n",
       "      <td>-0.492890</td>\n",
       "      <td>...</td>\n",
       "      <td>0.327066</td>\n",
       "      <td>-0.308209</td>\n",
       "      <td>0.156568</td>\n",
       "      <td>0.229740</td>\n",
       "      <td>0.084384</td>\n",
       "      <td>-0.269571</td>\n",
       "      <td>0.128257</td>\n",
       "      <td>0.500517</td>\n",
       "      <td>0.030679</td>\n",
       "      <td>0.423012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>http://dbpedia.org/resource/Fantasia_(1940_film)</td>\n",
       "      <td>0.012596</td>\n",
       "      <td>-0.363675</td>\n",
       "      <td>-0.200341</td>\n",
       "      <td>-0.288007</td>\n",
       "      <td>-0.918249</td>\n",
       "      <td>0.103618</td>\n",
       "      <td>-0.033792</td>\n",
       "      <td>0.184393</td>\n",
       "      <td>0.351371</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.845204</td>\n",
       "      <td>0.232762</td>\n",
       "      <td>0.135684</td>\n",
       "      <td>0.178445</td>\n",
       "      <td>-0.213599</td>\n",
       "      <td>-0.151071</td>\n",
       "      <td>0.185861</td>\n",
       "      <td>-0.250488</td>\n",
       "      <td>-0.560639</td>\n",
       "      <td>0.046183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>http://dbpedia.org/resource/Snow_White_and_the...</td>\n",
       "      <td>-0.110619</td>\n",
       "      <td>-0.022438</td>\n",
       "      <td>-0.436584</td>\n",
       "      <td>0.132460</td>\n",
       "      <td>-0.968146</td>\n",
       "      <td>0.210315</td>\n",
       "      <td>-0.113157</td>\n",
       "      <td>-0.333683</td>\n",
       "      <td>-0.110539</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.721070</td>\n",
       "      <td>-0.044716</td>\n",
       "      <td>-0.140388</td>\n",
       "      <td>0.740921</td>\n",
       "      <td>0.212634</td>\n",
       "      <td>-0.432297</td>\n",
       "      <td>0.483120</td>\n",
       "      <td>0.281024</td>\n",
       "      <td>-0.783087</td>\n",
       "      <td>0.206580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>http://dbpedia.org/resource/Band_of_Brothers_(...</td>\n",
       "      <td>-0.301021</td>\n",
       "      <td>-0.601196</td>\n",
       "      <td>-0.667036</td>\n",
       "      <td>-0.477340</td>\n",
       "      <td>-0.521035</td>\n",
       "      <td>0.238552</td>\n",
       "      <td>0.445494</td>\n",
       "      <td>0.480574</td>\n",
       "      <td>-0.397435</td>\n",
       "      <td>...</td>\n",
       "      <td>0.194413</td>\n",
       "      <td>-0.041689</td>\n",
       "      <td>0.322213</td>\n",
       "      <td>-0.010924</td>\n",
       "      <td>-0.049540</td>\n",
       "      <td>0.073796</td>\n",
       "      <td>-0.251234</td>\n",
       "      <td>-0.478446</td>\n",
       "      <td>-0.818731</td>\n",
       "      <td>0.169260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>http://dbpedia.org/resource/Pinocchio_(1940_film)</td>\n",
       "      <td>0.058439</td>\n",
       "      <td>-0.564881</td>\n",
       "      <td>-0.317060</td>\n",
       "      <td>-0.099454</td>\n",
       "      <td>-0.334787</td>\n",
       "      <td>-0.012635</td>\n",
       "      <td>0.199692</td>\n",
       "      <td>0.548722</td>\n",
       "      <td>0.033585</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.336076</td>\n",
       "      <td>0.084392</td>\n",
       "      <td>0.369534</td>\n",
       "      <td>0.691876</td>\n",
       "      <td>0.038075</td>\n",
       "      <td>-0.210486</td>\n",
       "      <td>0.173873</td>\n",
       "      <td>-0.005578</td>\n",
       "      <td>-0.796597</td>\n",
       "      <td>0.358472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>http://dbpedia.org/resource/Harry_Potter_(film...</td>\n",
       "      <td>-0.138585</td>\n",
       "      <td>-1.158717</td>\n",
       "      <td>0.065944</td>\n",
       "      <td>-0.110256</td>\n",
       "      <td>-1.014248</td>\n",
       "      <td>0.095200</td>\n",
       "      <td>0.208644</td>\n",
       "      <td>0.783379</td>\n",
       "      <td>0.462843</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.144742</td>\n",
       "      <td>-0.565039</td>\n",
       "      <td>-0.118208</td>\n",
       "      <td>0.690698</td>\n",
       "      <td>0.125068</td>\n",
       "      <td>-0.759913</td>\n",
       "      <td>-0.156163</td>\n",
       "      <td>-0.250222</td>\n",
       "      <td>-0.047005</td>\n",
       "      <td>0.022732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>http://dbpedia.org/resource/Red_Dwarf</td>\n",
       "      <td>0.131227</td>\n",
       "      <td>-0.795182</td>\n",
       "      <td>0.650905</td>\n",
       "      <td>-1.366069</td>\n",
       "      <td>-0.648056</td>\n",
       "      <td>-0.067780</td>\n",
       "      <td>0.027130</td>\n",
       "      <td>0.216861</td>\n",
       "      <td>0.528318</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.493793</td>\n",
       "      <td>-0.540019</td>\n",
       "      <td>0.172466</td>\n",
       "      <td>0.108005</td>\n",
       "      <td>0.014064</td>\n",
       "      <td>-0.350497</td>\n",
       "      <td>-0.185962</td>\n",
       "      <td>-0.084622</td>\n",
       "      <td>-0.049915</td>\n",
       "      <td>-0.043591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>http://dbpedia.org/resource/Gimme_a_Break!</td>\n",
       "      <td>-0.426197</td>\n",
       "      <td>-0.643072</td>\n",
       "      <td>-0.143684</td>\n",
       "      <td>0.021588</td>\n",
       "      <td>-0.534515</td>\n",
       "      <td>-0.541924</td>\n",
       "      <td>0.903420</td>\n",
       "      <td>-0.027660</td>\n",
       "      <td>0.516001</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.305990</td>\n",
       "      <td>0.279292</td>\n",
       "      <td>0.080557</td>\n",
       "      <td>0.345703</td>\n",
       "      <td>0.433765</td>\n",
       "      <td>0.037107</td>\n",
       "      <td>1.373668</td>\n",
       "      <td>-0.186867</td>\n",
       "      <td>-0.358873</td>\n",
       "      <td>0.585094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>http://dbpedia.org/resource/Last_of_the_Summer...</td>\n",
       "      <td>-0.387616</td>\n",
       "      <td>-0.849654</td>\n",
       "      <td>0.520858</td>\n",
       "      <td>-1.152769</td>\n",
       "      <td>-0.395122</td>\n",
       "      <td>-0.078861</td>\n",
       "      <td>0.134276</td>\n",
       "      <td>0.767099</td>\n",
       "      <td>-0.086088</td>\n",
       "      <td>...</td>\n",
       "      <td>0.074024</td>\n",
       "      <td>-0.180376</td>\n",
       "      <td>-0.568238</td>\n",
       "      <td>-0.009507</td>\n",
       "      <td>-0.706241</td>\n",
       "      <td>0.183831</td>\n",
       "      <td>-0.243164</td>\n",
       "      <td>-0.830150</td>\n",
       "      <td>-0.099241</td>\n",
       "      <td>0.196781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>http://dbpedia.org/resource/The_Lion_King</td>\n",
       "      <td>-0.185161</td>\n",
       "      <td>-0.667758</td>\n",
       "      <td>0.351287</td>\n",
       "      <td>-0.071545</td>\n",
       "      <td>-0.715235</td>\n",
       "      <td>0.654980</td>\n",
       "      <td>0.942513</td>\n",
       "      <td>0.299595</td>\n",
       "      <td>-0.796929</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.103406</td>\n",
       "      <td>-0.306330</td>\n",
       "      <td>-0.034503</td>\n",
       "      <td>0.277780</td>\n",
       "      <td>0.518103</td>\n",
       "      <td>-0.605122</td>\n",
       "      <td>0.536551</td>\n",
       "      <td>-0.022816</td>\n",
       "      <td>-0.428924</td>\n",
       "      <td>0.105254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>http://dbpedia.org/resource/The_Philco_Televis...</td>\n",
       "      <td>-0.427943</td>\n",
       "      <td>-0.492605</td>\n",
       "      <td>-0.227726</td>\n",
       "      <td>-0.551582</td>\n",
       "      <td>-0.155778</td>\n",
       "      <td>-0.070201</td>\n",
       "      <td>0.749041</td>\n",
       "      <td>0.692473</td>\n",
       "      <td>0.142140</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.951145</td>\n",
       "      <td>-0.113896</td>\n",
       "      <td>-0.234153</td>\n",
       "      <td>0.714249</td>\n",
       "      <td>-0.255902</td>\n",
       "      <td>0.019403</td>\n",
       "      <td>0.571655</td>\n",
       "      <td>-0.155627</td>\n",
       "      <td>0.062735</td>\n",
       "      <td>0.238491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>http://dbpedia.org/resource/Sleeping_Beauty_(1...</td>\n",
       "      <td>-0.594262</td>\n",
       "      <td>-0.284907</td>\n",
       "      <td>-0.208800</td>\n",
       "      <td>-0.275717</td>\n",
       "      <td>-0.798383</td>\n",
       "      <td>0.503691</td>\n",
       "      <td>0.153642</td>\n",
       "      <td>0.466465</td>\n",
       "      <td>-0.296610</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.542477</td>\n",
       "      <td>0.105357</td>\n",
       "      <td>0.077565</td>\n",
       "      <td>0.930746</td>\n",
       "      <td>0.081768</td>\n",
       "      <td>-0.218156</td>\n",
       "      <td>0.095910</td>\n",
       "      <td>-0.159626</td>\n",
       "      <td>-0.558423</td>\n",
       "      <td>0.424275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>http://dbpedia.org/resource/The_Bold_Ones:_The...</td>\n",
       "      <td>-0.275917</td>\n",
       "      <td>-0.490652</td>\n",
       "      <td>0.058167</td>\n",
       "      <td>-0.349791</td>\n",
       "      <td>-0.616028</td>\n",
       "      <td>0.117802</td>\n",
       "      <td>0.315908</td>\n",
       "      <td>0.584220</td>\n",
       "      <td>-0.168284</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.589613</td>\n",
       "      <td>0.179460</td>\n",
       "      <td>-0.082952</td>\n",
       "      <td>0.514616</td>\n",
       "      <td>-0.124556</td>\n",
       "      <td>0.326807</td>\n",
       "      <td>0.190047</td>\n",
       "      <td>0.140560</td>\n",
       "      <td>0.324520</td>\n",
       "      <td>0.007021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>http://dbpedia.org/resource/Dumbo</td>\n",
       "      <td>-0.090244</td>\n",
       "      <td>-0.497215</td>\n",
       "      <td>-0.320145</td>\n",
       "      <td>-0.082811</td>\n",
       "      <td>-0.804457</td>\n",
       "      <td>0.049052</td>\n",
       "      <td>0.170885</td>\n",
       "      <td>-0.062657</td>\n",
       "      <td>0.201343</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.541216</td>\n",
       "      <td>0.235122</td>\n",
       "      <td>0.132251</td>\n",
       "      <td>0.439390</td>\n",
       "      <td>0.147823</td>\n",
       "      <td>-0.228822</td>\n",
       "      <td>0.437567</td>\n",
       "      <td>0.228110</td>\n",
       "      <td>-0.578095</td>\n",
       "      <td>0.010694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>http://dbpedia.org/resource/Frozen_(2013_film)</td>\n",
       "      <td>-0.632902</td>\n",
       "      <td>-1.110231</td>\n",
       "      <td>-0.051083</td>\n",
       "      <td>-0.036203</td>\n",
       "      <td>-0.618483</td>\n",
       "      <td>0.644321</td>\n",
       "      <td>0.520805</td>\n",
       "      <td>0.568159</td>\n",
       "      <td>-0.492555</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.619857</td>\n",
       "      <td>-0.095898</td>\n",
       "      <td>0.736908</td>\n",
       "      <td>-0.029418</td>\n",
       "      <td>0.117501</td>\n",
       "      <td>-0.316409</td>\n",
       "      <td>0.341346</td>\n",
       "      <td>0.652590</td>\n",
       "      <td>-0.381850</td>\n",
       "      <td>0.527155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>http://dbpedia.org/resource/Casino_Royale_(196...</td>\n",
       "      <td>0.773064</td>\n",
       "      <td>0.109179</td>\n",
       "      <td>-0.051000</td>\n",
       "      <td>-0.132526</td>\n",
       "      <td>-0.715155</td>\n",
       "      <td>0.091428</td>\n",
       "      <td>0.640842</td>\n",
       "      <td>-0.264343</td>\n",
       "      <td>-0.260256</td>\n",
       "      <td>...</td>\n",
       "      <td>0.158924</td>\n",
       "      <td>-0.739866</td>\n",
       "      <td>0.499108</td>\n",
       "      <td>0.398301</td>\n",
       "      <td>-0.216687</td>\n",
       "      <td>-0.342471</td>\n",
       "      <td>0.326373</td>\n",
       "      <td>-0.205443</td>\n",
       "      <td>-0.102862</td>\n",
       "      <td>0.162528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>http://dbpedia.org/resource/The_Pacific_(minis...</td>\n",
       "      <td>0.069477</td>\n",
       "      <td>-0.758959</td>\n",
       "      <td>-0.425278</td>\n",
       "      <td>-0.280973</td>\n",
       "      <td>-0.893712</td>\n",
       "      <td>0.148944</td>\n",
       "      <td>0.398624</td>\n",
       "      <td>0.288982</td>\n",
       "      <td>-0.399282</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.178115</td>\n",
       "      <td>-0.176143</td>\n",
       "      <td>-0.460993</td>\n",
       "      <td>-0.310192</td>\n",
       "      <td>-0.304817</td>\n",
       "      <td>-0.002330</td>\n",
       "      <td>0.326521</td>\n",
       "      <td>-0.118486</td>\n",
       "      <td>-0.749635</td>\n",
       "      <td>-0.003137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>http://dbpedia.org/resource/Star_Wars_(film)</td>\n",
       "      <td>-0.504468</td>\n",
       "      <td>-0.495121</td>\n",
       "      <td>-1.276071</td>\n",
       "      <td>-0.247087</td>\n",
       "      <td>-0.510309</td>\n",
       "      <td>0.043088</td>\n",
       "      <td>0.904667</td>\n",
       "      <td>0.165914</td>\n",
       "      <td>-0.123610</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.089242</td>\n",
       "      <td>-0.065929</td>\n",
       "      <td>0.280322</td>\n",
       "      <td>0.707275</td>\n",
       "      <td>0.042698</td>\n",
       "      <td>-0.226498</td>\n",
       "      <td>0.118022</td>\n",
       "      <td>-0.405879</td>\n",
       "      <td>-0.322703</td>\n",
       "      <td>0.222759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>http://dbpedia.org/resource/The_Dick_Powell_Show</td>\n",
       "      <td>0.348011</td>\n",
       "      <td>0.107263</td>\n",
       "      <td>-0.063437</td>\n",
       "      <td>0.058328</td>\n",
       "      <td>-0.091351</td>\n",
       "      <td>0.022363</td>\n",
       "      <td>0.219758</td>\n",
       "      <td>0.767088</td>\n",
       "      <td>0.308749</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026086</td>\n",
       "      <td>0.005191</td>\n",
       "      <td>0.243043</td>\n",
       "      <td>0.537995</td>\n",
       "      <td>0.250707</td>\n",
       "      <td>0.208593</td>\n",
       "      <td>0.237956</td>\n",
       "      <td>0.294168</td>\n",
       "      <td>-0.062048</td>\n",
       "      <td>0.157651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>http://dbpedia.org/resource/Beauty_and_the_Bea...</td>\n",
       "      <td>-0.188234</td>\n",
       "      <td>-0.491675</td>\n",
       "      <td>0.664066</td>\n",
       "      <td>-0.080035</td>\n",
       "      <td>-0.651426</td>\n",
       "      <td>0.373124</td>\n",
       "      <td>0.129613</td>\n",
       "      <td>0.297080</td>\n",
       "      <td>-0.431981</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.452267</td>\n",
       "      <td>-0.357004</td>\n",
       "      <td>0.346360</td>\n",
       "      <td>0.043267</td>\n",
       "      <td>0.086430</td>\n",
       "      <td>-0.456517</td>\n",
       "      <td>0.235075</td>\n",
       "      <td>0.006192</td>\n",
       "      <td>-0.232916</td>\n",
       "      <td>0.730093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>http://dbpedia.org/resource/Aladdin_(1992_Disn...</td>\n",
       "      <td>-0.485015</td>\n",
       "      <td>-0.321546</td>\n",
       "      <td>0.368292</td>\n",
       "      <td>-0.076003</td>\n",
       "      <td>-0.825097</td>\n",
       "      <td>0.238973</td>\n",
       "      <td>0.173073</td>\n",
       "      <td>0.299280</td>\n",
       "      <td>-0.567592</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.634339</td>\n",
       "      <td>-0.674695</td>\n",
       "      <td>0.204478</td>\n",
       "      <td>0.102706</td>\n",
       "      <td>-0.259019</td>\n",
       "      <td>-0.350733</td>\n",
       "      <td>0.133305</td>\n",
       "      <td>0.326242</td>\n",
       "      <td>0.384148</td>\n",
       "      <td>0.450761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>http://dbpedia.org/resource/Cinderella_(1950_f...</td>\n",
       "      <td>-0.136178</td>\n",
       "      <td>-0.427234</td>\n",
       "      <td>0.593715</td>\n",
       "      <td>-0.105923</td>\n",
       "      <td>-0.391059</td>\n",
       "      <td>0.339442</td>\n",
       "      <td>0.064706</td>\n",
       "      <td>0.549290</td>\n",
       "      <td>-0.405299</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.776572</td>\n",
       "      <td>-0.426698</td>\n",
       "      <td>0.045925</td>\n",
       "      <td>0.031847</td>\n",
       "      <td>0.034778</td>\n",
       "      <td>-0.438705</td>\n",
       "      <td>0.449561</td>\n",
       "      <td>-0.188039</td>\n",
       "      <td>-0.260560</td>\n",
       "      <td>0.615081</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25 rows × 201 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                Movie         0         1  \\\n",
       "0            http://dbpedia.org/resource/Playhouse_90 -0.137760 -0.589059   \n",
       "1            http://dbpedia.org/resource/Looney_Tunes -1.042180 -0.426787   \n",
       "2         http://dbpedia.org/resource/Merrie_Melodies -0.735772 -0.306961   \n",
       "3      http://dbpedia.org/resource/American_Playhouse -0.218308 -0.383118   \n",
       "4    http://dbpedia.org/resource/Fantasia_(1940_film)  0.012596 -0.363675   \n",
       "5   http://dbpedia.org/resource/Snow_White_and_the... -0.110619 -0.022438   \n",
       "6   http://dbpedia.org/resource/Band_of_Brothers_(... -0.301021 -0.601196   \n",
       "7   http://dbpedia.org/resource/Pinocchio_(1940_film)  0.058439 -0.564881   \n",
       "8   http://dbpedia.org/resource/Harry_Potter_(film... -0.138585 -1.158717   \n",
       "9               http://dbpedia.org/resource/Red_Dwarf  0.131227 -0.795182   \n",
       "10         http://dbpedia.org/resource/Gimme_a_Break! -0.426197 -0.643072   \n",
       "11  http://dbpedia.org/resource/Last_of_the_Summer... -0.387616 -0.849654   \n",
       "12          http://dbpedia.org/resource/The_Lion_King -0.185161 -0.667758   \n",
       "13  http://dbpedia.org/resource/The_Philco_Televis... -0.427943 -0.492605   \n",
       "14  http://dbpedia.org/resource/Sleeping_Beauty_(1... -0.594262 -0.284907   \n",
       "15  http://dbpedia.org/resource/The_Bold_Ones:_The... -0.275917 -0.490652   \n",
       "16                  http://dbpedia.org/resource/Dumbo -0.090244 -0.497215   \n",
       "17     http://dbpedia.org/resource/Frozen_(2013_film) -0.632902 -1.110231   \n",
       "18  http://dbpedia.org/resource/Casino_Royale_(196...  0.773064  0.109179   \n",
       "19  http://dbpedia.org/resource/The_Pacific_(minis...  0.069477 -0.758959   \n",
       "20       http://dbpedia.org/resource/Star_Wars_(film) -0.504468 -0.495121   \n",
       "21   http://dbpedia.org/resource/The_Dick_Powell_Show  0.348011  0.107263   \n",
       "22  http://dbpedia.org/resource/Beauty_and_the_Bea... -0.188234 -0.491675   \n",
       "23  http://dbpedia.org/resource/Aladdin_(1992_Disn... -0.485015 -0.321546   \n",
       "24  http://dbpedia.org/resource/Cinderella_(1950_f... -0.136178 -0.427234   \n",
       "\n",
       "           2         3         4         5         6         7         8  ...  \\\n",
       "0  -0.037958 -0.534860 -0.413675  0.489986  0.834827  0.483092 -0.237307  ...   \n",
       "1   0.223503 -0.041168 -0.413734  0.103594  0.745793 -0.070818 -0.486270  ...   \n",
       "2  -0.005732  0.092917 -0.477233 -0.022962  0.886615 -0.086885 -0.621619  ...   \n",
       "3   0.698063  0.291182 -0.129309  0.227223  0.160146  0.404174 -0.492890  ...   \n",
       "4  -0.200341 -0.288007 -0.918249  0.103618 -0.033792  0.184393  0.351371  ...   \n",
       "5  -0.436584  0.132460 -0.968146  0.210315 -0.113157 -0.333683 -0.110539  ...   \n",
       "6  -0.667036 -0.477340 -0.521035  0.238552  0.445494  0.480574 -0.397435  ...   \n",
       "7  -0.317060 -0.099454 -0.334787 -0.012635  0.199692  0.548722  0.033585  ...   \n",
       "8   0.065944 -0.110256 -1.014248  0.095200  0.208644  0.783379  0.462843  ...   \n",
       "9   0.650905 -1.366069 -0.648056 -0.067780  0.027130  0.216861  0.528318  ...   \n",
       "10 -0.143684  0.021588 -0.534515 -0.541924  0.903420 -0.027660  0.516001  ...   \n",
       "11  0.520858 -1.152769 -0.395122 -0.078861  0.134276  0.767099 -0.086088  ...   \n",
       "12  0.351287 -0.071545 -0.715235  0.654980  0.942513  0.299595 -0.796929  ...   \n",
       "13 -0.227726 -0.551582 -0.155778 -0.070201  0.749041  0.692473  0.142140  ...   \n",
       "14 -0.208800 -0.275717 -0.798383  0.503691  0.153642  0.466465 -0.296610  ...   \n",
       "15  0.058167 -0.349791 -0.616028  0.117802  0.315908  0.584220 -0.168284  ...   \n",
       "16 -0.320145 -0.082811 -0.804457  0.049052  0.170885 -0.062657  0.201343  ...   \n",
       "17 -0.051083 -0.036203 -0.618483  0.644321  0.520805  0.568159 -0.492555  ...   \n",
       "18 -0.051000 -0.132526 -0.715155  0.091428  0.640842 -0.264343 -0.260256  ...   \n",
       "19 -0.425278 -0.280973 -0.893712  0.148944  0.398624  0.288982 -0.399282  ...   \n",
       "20 -1.276071 -0.247087 -0.510309  0.043088  0.904667  0.165914 -0.123610  ...   \n",
       "21 -0.063437  0.058328 -0.091351  0.022363  0.219758  0.767088  0.308749  ...   \n",
       "22  0.664066 -0.080035 -0.651426  0.373124  0.129613  0.297080 -0.431981  ...   \n",
       "23  0.368292 -0.076003 -0.825097  0.238973  0.173073  0.299280 -0.567592  ...   \n",
       "24  0.593715 -0.105923 -0.391059  0.339442  0.064706  0.549290 -0.405299  ...   \n",
       "\n",
       "         190       191       192       193       194       195       196  \\\n",
       "0  -0.746374  0.178704 -0.300927  1.041487 -0.114665  0.074592 -0.048673   \n",
       "1   0.041576 -0.289932 -0.011391  0.744024  0.575132 -0.176852 -0.289161   \n",
       "2   0.165683 -0.267800 -0.212183  0.835690  0.536859  0.230216 -0.452382   \n",
       "3   0.327066 -0.308209  0.156568  0.229740  0.084384 -0.269571  0.128257   \n",
       "4  -0.845204  0.232762  0.135684  0.178445 -0.213599 -0.151071  0.185861   \n",
       "5  -0.721070 -0.044716 -0.140388  0.740921  0.212634 -0.432297  0.483120   \n",
       "6   0.194413 -0.041689  0.322213 -0.010924 -0.049540  0.073796 -0.251234   \n",
       "7  -0.336076  0.084392  0.369534  0.691876  0.038075 -0.210486  0.173873   \n",
       "8  -0.144742 -0.565039 -0.118208  0.690698  0.125068 -0.759913 -0.156163   \n",
       "9  -0.493793 -0.540019  0.172466  0.108005  0.014064 -0.350497 -0.185962   \n",
       "10 -0.305990  0.279292  0.080557  0.345703  0.433765  0.037107  1.373668   \n",
       "11  0.074024 -0.180376 -0.568238 -0.009507 -0.706241  0.183831 -0.243164   \n",
       "12 -0.103406 -0.306330 -0.034503  0.277780  0.518103 -0.605122  0.536551   \n",
       "13 -0.951145 -0.113896 -0.234153  0.714249 -0.255902  0.019403  0.571655   \n",
       "14 -0.542477  0.105357  0.077565  0.930746  0.081768 -0.218156  0.095910   \n",
       "15 -0.589613  0.179460 -0.082952  0.514616 -0.124556  0.326807  0.190047   \n",
       "16 -0.541216  0.235122  0.132251  0.439390  0.147823 -0.228822  0.437567   \n",
       "17 -0.619857 -0.095898  0.736908 -0.029418  0.117501 -0.316409  0.341346   \n",
       "18  0.158924 -0.739866  0.499108  0.398301 -0.216687 -0.342471  0.326373   \n",
       "19 -0.178115 -0.176143 -0.460993 -0.310192 -0.304817 -0.002330  0.326521   \n",
       "20 -0.089242 -0.065929  0.280322  0.707275  0.042698 -0.226498  0.118022   \n",
       "21  0.026086  0.005191  0.243043  0.537995  0.250707  0.208593  0.237956   \n",
       "22 -0.452267 -0.357004  0.346360  0.043267  0.086430 -0.456517  0.235075   \n",
       "23 -0.634339 -0.674695  0.204478  0.102706 -0.259019 -0.350733  0.133305   \n",
       "24 -0.776572 -0.426698  0.045925  0.031847  0.034778 -0.438705  0.449561   \n",
       "\n",
       "         197       198       199  \n",
       "0   0.689411 -0.375839  0.637875  \n",
       "1   0.196203 -1.127021  0.352837  \n",
       "2   0.141061 -1.083207  0.298553  \n",
       "3   0.500517  0.030679  0.423012  \n",
       "4  -0.250488 -0.560639  0.046183  \n",
       "5   0.281024 -0.783087  0.206580  \n",
       "6  -0.478446 -0.818731  0.169260  \n",
       "7  -0.005578 -0.796597  0.358472  \n",
       "8  -0.250222 -0.047005  0.022732  \n",
       "9  -0.084622 -0.049915 -0.043591  \n",
       "10 -0.186867 -0.358873  0.585094  \n",
       "11 -0.830150 -0.099241  0.196781  \n",
       "12 -0.022816 -0.428924  0.105254  \n",
       "13 -0.155627  0.062735  0.238491  \n",
       "14 -0.159626 -0.558423  0.424275  \n",
       "15  0.140560  0.324520  0.007021  \n",
       "16  0.228110 -0.578095  0.010694  \n",
       "17  0.652590 -0.381850  0.527155  \n",
       "18 -0.205443 -0.102862  0.162528  \n",
       "19 -0.118486 -0.749635 -0.003137  \n",
       "20 -0.405879 -0.322703  0.222759  \n",
       "21  0.294168 -0.062048  0.157651  \n",
       "22  0.006192 -0.232916  0.730093  \n",
       "23  0.326242  0.384148  0.450761  \n",
       "24 -0.188039 -0.260560  0.615081  \n",
       "\n",
       "[25 rows x 201 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfXcomplete = pd.concat([dfX,dfXvectors],axis=1,join=\"inner\")\n",
    "dfXcomplete.head(25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0     -0.230488\n",
      "1     -0.439156\n",
      "2      0.197780\n",
      "3     -0.135158\n",
      "4     -0.728127\n",
      "         ...   \n",
      "195   -0.274856\n",
      "196    0.331307\n",
      "197    0.062966\n",
      "198   -0.103116\n",
      "199    0.321939\n",
      "Length: 200, dtype: float64\n",
      "http://dbpedia.org/resource/Cinderella_(1950_film)\n",
      "http://dbpedia.org/resource/Aladdin_(1992_Disney_film)\n",
      "http://dbpedia.org/resource/Bambi\n",
      "http://dbpedia.org/resource/Beauty_and_the_Beast_(1991_film)\n",
      "http://dbpedia.org/resource/Tangled\n",
      "http://dbpedia.org/resource/Peter_Pan_(1953_film)\n",
      "http://dbpedia.org/resource/The_Three_Caballeros\n",
      "http://dbpedia.org/resource/The_Little_Mermaid_(1989_film)\n",
      "http://dbpedia.org/resource/Beauty_and_the_Beast_(2017_film)\n",
      "http://dbpedia.org/resource/Saludos_Amigos\n"
     ]
    }
   ],
   "source": [
    "from sklearn.neighbors import NearestNeighbors\n",
    "\n",
    "knn = NearestNeighbors(n_neighbors=10, algorithm='auto', metric='cosine')\n",
    "knn.fit(dfXvectors.to_numpy())\n",
    "\n",
    "user1 = [\"http://dbpedia.org/resource/The_Matrix\",\"http://dbpedia.org/resource/Interstellar_(film)\",\"http://dbpedia.org/resource/Blade_Runner\"]\n",
    "user2 = [\"http://dbpedia.org/resource/Bambi\",\"http://dbpedia.org/resource/Aladdin_(1992_Disney_film)\",\"http://dbpedia.org/resource/Cinderella_(1950_film)\"]\n",
    "\n",
    "def get_recommendations(user_profile,df_vectors):\n",
    "    df_uservector = df_vectors[dfX['Movie'].isin(user_profile)].mean()\n",
    "    print(df_uservector)\n",
    "    return knn.kneighbors([df_uservector], 10, return_distance=False)\n",
    "\n",
    "for index in get_recommendations(user2,dfXvectors)[0]:\n",
    "    print(dfX.at[index,'Movie'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          0         1         2         3         4         5         6    \\\n",
      "55   0.318401  0.139367 -0.701737 -0.279444 -0.897473  0.299331  0.466589   \n",
      "59  -0.256155 -0.262864 -0.451567  0.016916 -1.072240 -0.461869 -0.136405   \n",
      "362  0.140722  0.256464 -0.289506 -0.067005 -0.788516 -0.310958  0.428743   \n",
      "719  0.011412  0.284625 -0.402758  0.161706 -0.642788 -0.145495  0.289870   \n",
      "413  0.276396 -0.000320 -0.489742  0.338217 -0.533667  0.146200  0.010560   \n",
      "828  0.647876  0.425028 -0.850197  0.543665 -0.848872  0.073361  0.156451   \n",
      "986  0.442210  0.337279 -0.566876  0.210853 -0.584514  0.171120  0.322006   \n",
      "283 -0.426962 -0.150118 -0.368088  0.185758 -0.907161 -0.417741 -0.040905   \n",
      "473  0.322986  0.083523 -0.458807  0.396477 -0.595785  0.204056  0.398959   \n",
      "209 -0.013298  0.115373 -0.373912  0.026581 -0.619941 -0.011785  0.265499   \n",
      "24  -0.136178 -0.427234  0.593715 -0.105923 -0.391059  0.339442  0.064706   \n",
      "23  -0.485015 -0.321546  0.368292 -0.076003 -0.825097  0.238973  0.173073   \n",
      "73  -0.070271 -0.568688 -0.368667 -0.223548 -0.968225  0.254485  0.300212   \n",
      "22  -0.188234 -0.491675  0.664066 -0.080035 -0.651426  0.373124  0.129613   \n",
      "79  -0.412844 -0.120966  0.301059 -0.398393 -0.912849  0.290974  0.357487   \n",
      "28  -0.534488 -0.845421 -0.352786 -0.010685 -0.768865  0.090177 -0.008820   \n",
      "100  0.019181 -0.419963 -0.257470  0.046528 -0.791790  0.003891  0.234078   \n",
      "27  -0.566510  0.098564  0.704964 -0.300415 -0.802405 -0.135183 -0.414215   \n",
      "480  0.156848 -0.703100  0.132047  0.089070 -0.618986  0.162045  0.177390   \n",
      "251 -0.377803 -0.470877  0.000738  0.019628 -0.452400  0.438161 -0.055662   \n",
      "\n",
      "          7         8         9    ...       190       191       192  \\\n",
      "55   0.063447 -0.631822 -0.277138  ... -0.176155 -0.744473 -0.330266   \n",
      "59   0.559580  0.262314  0.568922  ...  0.052474 -0.300920  0.326962   \n",
      "362  0.183505  0.100805  0.693227  ... -0.072536 -0.380478  0.196136   \n",
      "719  0.299873 -0.330871  0.628309  ... -0.208002 -0.316287  0.055104   \n",
      "413  0.314999 -0.064188  0.285488  ...  0.265778 -0.038251 -0.096124   \n",
      "828  0.250268  0.447005 -0.032032  ... -0.206418  0.091566  0.171927   \n",
      "986  0.062472 -0.071037  0.296194  ... -0.364699 -0.091305  0.061686   \n",
      "283 -0.090521 -0.153316  0.268322  ... -0.266540 -0.365087  0.009403   \n",
      "473  0.758679 -0.111542 -0.099624  ... -0.460300  0.174754  0.546240   \n",
      "209  0.155927 -0.212716  0.207713  ... -0.178869 -0.107379 -0.075707   \n",
      "24   0.549290 -0.405299  0.323797  ... -0.776572 -0.426698  0.045925   \n",
      "23   0.299280 -0.567592  0.222896  ... -0.634339 -0.674695  0.204478   \n",
      "73   0.052589 -0.029153  0.247146  ... -0.594128 -0.133593  0.039135   \n",
      "22   0.297080 -0.431981  0.024356  ... -0.452267 -0.357004  0.346360   \n",
      "79  -0.373975 -0.735043  0.191279  ... -0.470608 -0.775667  0.453187   \n",
      "28   0.141059  0.042978  0.301992  ... -0.723882 -0.407864  0.334190   \n",
      "100  0.513376 -0.350695 -0.039778  ... -0.065682  0.462035  0.110817   \n",
      "27   0.170616 -0.434117  0.171072  ... -0.968996 -0.331415 -0.259925   \n",
      "480 -0.120469 -0.291758  0.419111  ... -0.427550 -0.549338  0.302811   \n",
      "251  0.521283 -0.131151 -0.294863  ... -0.703387 -0.138630  0.206960   \n",
      "\n",
      "          193       194       195       196       197       198       199  \n",
      "55   0.049837  0.209204  0.004850 -0.342679 -0.444115 -0.132099 -0.176516  \n",
      "59   0.671042  0.403135 -0.007217  0.093031 -0.461279 -0.175980 -0.048493  \n",
      "362  0.741731 -0.111106  0.415001  0.382035 -0.388946 -0.468983  0.506479  \n",
      "719  0.648155 -0.426689  0.325136 -0.040030 -0.278267  0.202169  0.406792  \n",
      "413  0.239046 -0.383956 -0.292289 -0.253236 -0.492697 -0.206753 -0.161367  \n",
      "828  0.484794 -0.436635  0.042103  0.073556 -0.015005 -0.893553  0.354957  \n",
      "986  0.498790  0.065654  0.063530  0.546541 -0.054107 -0.741318  0.142517  \n",
      "283  0.502563  0.363444 -0.033896  0.385330 -0.580187 -0.047346  0.336268  \n",
      "473  0.692509  0.051536  0.205738  0.086837 -0.353917 -0.586069  0.198249  \n",
      "209  0.552940  0.121073  0.056891 -0.245650  0.146369 -0.429660  0.507857  \n",
      "24   0.031847  0.034778 -0.438705  0.449561 -0.188039 -0.260560  0.615081  \n",
      "23   0.102706 -0.259019 -0.350733  0.133305  0.326242  0.384148  0.450761  \n",
      "73   0.793185  0.186650 -0.035128  0.411055  0.050694 -0.432934 -0.100027  \n",
      "22   0.043267  0.086430 -0.456517  0.235075  0.006192 -0.232916  0.730093  \n",
      "79   0.480819 -0.315200 -0.259552 -0.207007  0.101626 -0.427244  0.565416  \n",
      "28   0.799243 -0.052781 -0.720815  0.528965  0.235538 -0.320678 -0.237203  \n",
      "100  0.392284 -0.060565 -0.551313  0.285942 -0.047484 -0.520079  0.261523  \n",
      "27   0.289119 -0.149168 -0.367965  0.236865  0.200093 -0.042937  0.716321  \n",
      "480  0.121103 -0.189923 -0.379302 -0.177058 -0.413966 -0.194548  0.269128  \n",
      "251  0.596162  0.093474 -0.143856  0.398926  0.555437 -0.403876  0.016331  \n",
      "\n",
      "[20 rows x 200 columns]\n"
     ]
    }
   ],
   "source": [
    "arr1 = get_recommendations(user1,dfXvectors)\n",
    "arr2 = get_recommendations(user2,dfXvectors)\n",
    "arr = np.append(arr1,arr2)\n",
    "df = dfXvectors.iloc[arr]\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "import matplotlib.pyplot as plt\n",
    "import random as rd\n",
    "pca = PCA(n_components=2)\n",
    "pca_result = pca.fit_transform(dfXvectors)\n",
    "principalDf = pd.DataFrame(data = pca_result\n",
    "             , columns = ['principal component 1', 'principal component 2'])\n",
    "\n",
    "finalDf = principalDf.iloc[arr]\n",
    "fig = plt.figure(figsize = (8,8))\n",
    "ax = fig.add_subplot(1,1,1) \n",
    "ax.set_xlim([-2.0,0.75])\n",
    "ax.set_xlabel('Principal Component 1')\n",
    "ax.set_ylabel('Principal Component 2')\n",
    "plt.scatter(finalDf['principal component 1']\n",
    "               , finalDf['principal component 2'], c='b')\n",
    "\n",
    "for i in arr:\n",
    "    str = dfX.at[i,'Movie']\n",
    "    if str.find(\"(\")>0:\n",
    "        str = str[str.rindex(\"/\")+1:str.index(\"(\")].replace(\"_\",\" \")\n",
    "    else:\n",
    "        str = str[str.rindex(\"/\")+1:].replace(\"_\",\" \")\n",
    "    ax.annotate(str, (finalDf.at[i,'principal component 1'],finalDf.at[i,'principal component 2']+0.2*rd.random()-0.1))\n",
    "\n",
    "# add users as red dots\n",
    "def add_user(user_profile,plt,label):\n",
    "    df_uservector = principalDf[dfX['Movie'].isin(user_profile)].mean()    \n",
    "    plt.plot(df_uservector['principal component 1'], df_uservector['principal component 2'], 'ro')  \n",
    "    ax.annotate(label,(df_uservector['principal component 1'], df_uservector['principal component 2']),c='r')\n",
    "\n",
    "add_user(user1,plt,\"User 1\")    \n",
    "add_user(user2,plt,\"User 2\")\n",
    "\n",
    "ax.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}