notebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import networkx as nx\n",
    "import itertools\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Description</th>\n",
       "      <th>Director</th>\n",
       "      <th>Actors</th>\n",
       "      <th>Year</th>\n",
       "      <th>Runtime (Minutes)</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Votes</th>\n",
       "      <th>Revenue (Millions)</th>\n",
       "      <th>Metascore</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Guardians of the Galaxy</td>\n",
       "      <td>[Action, Adventure, Sci-Fi]</td>\n",
       "      <td>A group of intergalactic criminals are forced ...</td>\n",
       "      <td>James Gunn</td>\n",
       "      <td>[Chris Pratt, Vin Diesel, Bradley Cooper, Zoe ...</td>\n",
       "      <td>2014</td>\n",
       "      <td>121</td>\n",
       "      <td>8.1</td>\n",
       "      <td>757074</td>\n",
       "      <td>333.13</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Prometheus</td>\n",
       "      <td>[Adventure, Mystery, Sci-Fi]</td>\n",
       "      <td>Following clues to the origin of mankind, a te...</td>\n",
       "      <td>Ridley Scott</td>\n",
       "      <td>[Noomi Rapace, Logan Marshall-Green, Michael F...</td>\n",
       "      <td>2012</td>\n",
       "      <td>124</td>\n",
       "      <td>7.0</td>\n",
       "      <td>485820</td>\n",
       "      <td>126.46</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Split</td>\n",
       "      <td>[Horror, Thriller]</td>\n",
       "      <td>Three girls are kidnapped by a man with a diag...</td>\n",
       "      <td>M. Night Shyamalan</td>\n",
       "      <td>[James McAvoy, Anya Taylor-Joy, Haley Lu Richa...</td>\n",
       "      <td>2016</td>\n",
       "      <td>117</td>\n",
       "      <td>7.3</td>\n",
       "      <td>157606</td>\n",
       "      <td>138.12</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Sing</td>\n",
       "      <td>[Animation, Comedy, Family]</td>\n",
       "      <td>In a city of humanoid animals, a hustling thea...</td>\n",
       "      <td>Christophe Lourdelet</td>\n",
       "      <td>[Matthew McConaughey, Reese Witherspoon, Seth ...</td>\n",
       "      <td>2016</td>\n",
       "      <td>108</td>\n",
       "      <td>7.2</td>\n",
       "      <td>60545</td>\n",
       "      <td>270.32</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Suicide Squad</td>\n",
       "      <td>[Action, Adventure, Fantasy]</td>\n",
       "      <td>A secret government agency recruits some of th...</td>\n",
       "      <td>David Ayer</td>\n",
       "      <td>[Will Smith, Jared Leto, Margot Robbie, Viola ...</td>\n",
       "      <td>2016</td>\n",
       "      <td>123</td>\n",
       "      <td>6.2</td>\n",
       "      <td>393727</td>\n",
       "      <td>325.02</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>The Great Wall</td>\n",
       "      <td>[Action, Adventure, Fantasy]</td>\n",
       "      <td>European mercenaries searching for black powde...</td>\n",
       "      <td>Yimou Zhang</td>\n",
       "      <td>[Matt Damon, Tian Jing, Willem Dafoe, Andy Lau]</td>\n",
       "      <td>2016</td>\n",
       "      <td>103</td>\n",
       "      <td>6.1</td>\n",
       "      <td>56036</td>\n",
       "      <td>45.13</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>La La Land</td>\n",
       "      <td>[Comedy, Drama, Music]</td>\n",
       "      <td>A jazz pianist falls for an aspiring actress i...</td>\n",
       "      <td>Damien Chazelle</td>\n",
       "      <td>[Ryan Gosling, Emma Stone, Rosemarie DeWitt, J...</td>\n",
       "      <td>2016</td>\n",
       "      <td>128</td>\n",
       "      <td>8.3</td>\n",
       "      <td>258682</td>\n",
       "      <td>151.06</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>Mindhorn</td>\n",
       "      <td>[Comedy]</td>\n",
       "      <td>A has-been actor best known for playing the ti...</td>\n",
       "      <td>Sean Foley</td>\n",
       "      <td>[Essie Davis, Andrea Riseborough, Julian Barra...</td>\n",
       "      <td>2016</td>\n",
       "      <td>89</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2490</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>The Lost City of Z</td>\n",
       "      <td>[Action, Adventure, Biography]</td>\n",
       "      <td>A true-life drama, centering on British explor...</td>\n",
       "      <td>James Gray</td>\n",
       "      <td>[Charlie Hunnam, Robert Pattinson, Sienna Mill...</td>\n",
       "      <td>2016</td>\n",
       "      <td>141</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7188</td>\n",
       "      <td>8.01</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>Passengers</td>\n",
       "      <td>[Adventure, Drama, Romance]</td>\n",
       "      <td>A spacecraft traveling to a distant colony pla...</td>\n",
       "      <td>Morten Tyldum</td>\n",
       "      <td>[Jennifer Lawrence, Chris Pratt, Michael Sheen...</td>\n",
       "      <td>2016</td>\n",
       "      <td>116</td>\n",
       "      <td>7.0</td>\n",
       "      <td>192177</td>\n",
       "      <td>100.01</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>Fantastic Beasts and Where to Find Them</td>\n",
       "      <td>[Adventure, Family, Fantasy]</td>\n",
       "      <td>The adventures of writer Newt Scamander in New...</td>\n",
       "      <td>David Yates</td>\n",
       "      <td>[Eddie Redmayne, Katherine Waterston, Alison S...</td>\n",
       "      <td>2016</td>\n",
       "      <td>133</td>\n",
       "      <td>7.5</td>\n",
       "      <td>232072</td>\n",
       "      <td>234.02</td>\n",
       "      <td>66.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>Hidden Figures</td>\n",
       "      <td>[Biography, Drama, History]</td>\n",
       "      <td>The story of a team of female African-American...</td>\n",
       "      <td>Theodore Melfi</td>\n",
       "      <td>[Taraji P. Henson, Octavia Spencer, Janelle Mo...</td>\n",
       "      <td>2016</td>\n",
       "      <td>127</td>\n",
       "      <td>7.8</td>\n",
       "      <td>93103</td>\n",
       "      <td>169.27</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>Rogue One</td>\n",
       "      <td>[Action, Adventure, Sci-Fi]</td>\n",
       "      <td>The Rebel Alliance makes a risky move to steal...</td>\n",
       "      <td>Gareth Edwards</td>\n",
       "      <td>[Felicity Jones, Diego Luna, Alan Tudyk, Donni...</td>\n",
       "      <td>2016</td>\n",
       "      <td>133</td>\n",
       "      <td>7.9</td>\n",
       "      <td>323118</td>\n",
       "      <td>532.17</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>Moana</td>\n",
       "      <td>[Animation, Adventure, Comedy]</td>\n",
       "      <td>In Ancient Polynesia, when a terrible curse in...</td>\n",
       "      <td>Ron Clements</td>\n",
       "      <td>[Auli'i Cravalho, Dwayne Johnson, Rachel House...</td>\n",
       "      <td>2016</td>\n",
       "      <td>107</td>\n",
       "      <td>7.7</td>\n",
       "      <td>118151</td>\n",
       "      <td>248.75</td>\n",
       "      <td>81.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>Colossal</td>\n",
       "      <td>[Action, Comedy, Drama]</td>\n",
       "      <td>Gloria is an out-of-work party girl forced to ...</td>\n",
       "      <td>Nacho Vigalondo</td>\n",
       "      <td>[Anne Hathaway, Jason Sudeikis, Austin Stowell...</td>\n",
       "      <td>2016</td>\n",
       "      <td>109</td>\n",
       "      <td>6.4</td>\n",
       "      <td>8612</td>\n",
       "      <td>2.87</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>The Secret Life of Pets</td>\n",
       "      <td>[Animation, Adventure, Comedy]</td>\n",
       "      <td>The quiet life of a terrier named Max is upend...</td>\n",
       "      <td>Chris Renaud</td>\n",
       "      <td>[Louis C.K., Eric Stonestreet, Kevin Hart, Lak...</td>\n",
       "      <td>2016</td>\n",
       "      <td>87</td>\n",
       "      <td>6.6</td>\n",
       "      <td>120259</td>\n",
       "      <td>368.31</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>Hacksaw Ridge</td>\n",
       "      <td>[Biography, Drama, History]</td>\n",
       "      <td>WWII American Army Medic Desmond T. Doss, who ...</td>\n",
       "      <td>Mel Gibson</td>\n",
       "      <td>[Andrew Garfield, Sam Worthington, Luke Bracey...</td>\n",
       "      <td>2016</td>\n",
       "      <td>139</td>\n",
       "      <td>8.2</td>\n",
       "      <td>211760</td>\n",
       "      <td>67.12</td>\n",
       "      <td>71.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>Jason Bourne</td>\n",
       "      <td>[Action, Thriller]</td>\n",
       "      <td>The CIA's most dangerous former operative is d...</td>\n",
       "      <td>Paul Greengrass</td>\n",
       "      <td>[Matt Damon, Tommy Lee Jones, Alicia Vikander,...</td>\n",
       "      <td>2016</td>\n",
       "      <td>123</td>\n",
       "      <td>6.7</td>\n",
       "      <td>150823</td>\n",
       "      <td>162.16</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>Lion</td>\n",
       "      <td>[Biography, Drama]</td>\n",
       "      <td>A five-year-old Indian boy gets lost on the st...</td>\n",
       "      <td>Garth Davis</td>\n",
       "      <td>[Dev Patel, Nicole Kidman, Rooney Mara, Sunny ...</td>\n",
       "      <td>2016</td>\n",
       "      <td>118</td>\n",
       "      <td>8.1</td>\n",
       "      <td>102061</td>\n",
       "      <td>51.69</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>Arrival</td>\n",
       "      <td>[Drama, Mystery, Sci-Fi]</td>\n",
       "      <td>When twelve mysterious spacecraft appear aroun...</td>\n",
       "      <td>Denis Villeneuve</td>\n",
       "      <td>[Amy Adams, Jeremy Renner, Forest Whitaker, Mi...</td>\n",
       "      <td>2016</td>\n",
       "      <td>116</td>\n",
       "      <td>8.0</td>\n",
       "      <td>340798</td>\n",
       "      <td>100.50</td>\n",
       "      <td>81.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>Gold</td>\n",
       "      <td>[Adventure, Drama, Thriller]</td>\n",
       "      <td>Kenny Wells, a prospector desperate for a luck...</td>\n",
       "      <td>Stephen Gaghan</td>\n",
       "      <td>[Matthew McConaughey, Edgar Ramírez, Bryce Dal...</td>\n",
       "      <td>2016</td>\n",
       "      <td>120</td>\n",
       "      <td>6.7</td>\n",
       "      <td>19053</td>\n",
       "      <td>7.22</td>\n",
       "      <td>49.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>Manchester by the Sea</td>\n",
       "      <td>[Drama]</td>\n",
       "      <td>A depressed uncle is asked to take care of his...</td>\n",
       "      <td>Kenneth Lonergan</td>\n",
       "      <td>[Casey Affleck, Michelle Williams, Kyle Chandl...</td>\n",
       "      <td>2016</td>\n",
       "      <td>137</td>\n",
       "      <td>7.9</td>\n",
       "      <td>134213</td>\n",
       "      <td>47.70</td>\n",
       "      <td>96.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>Hounds of Love</td>\n",
       "      <td>[Crime, Drama, Horror]</td>\n",
       "      <td>A cold-blooded predatory couple while cruising...</td>\n",
       "      <td>Ben Young</td>\n",
       "      <td>[Emma Booth, Ashleigh Cummings, Stephen Curry,...</td>\n",
       "      <td>2016</td>\n",
       "      <td>108</td>\n",
       "      <td>6.7</td>\n",
       "      <td>1115</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>Trolls</td>\n",
       "      <td>[Animation, Adventure, Comedy]</td>\n",
       "      <td>After the Bergens invade Troll Village, Poppy,...</td>\n",
       "      <td>Walt Dohrn</td>\n",
       "      <td>[Anna Kendrick, Justin Timberlake, Zooey Desch...</td>\n",
       "      <td>2016</td>\n",
       "      <td>92</td>\n",
       "      <td>6.5</td>\n",
       "      <td>38552</td>\n",
       "      <td>153.69</td>\n",
       "      <td>56.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>Independence Day: Resurgence</td>\n",
       "      <td>[Action, Adventure, Sci-Fi]</td>\n",
       "      <td>Two decades after the first Independence Day i...</td>\n",
       "      <td>Roland Emmerich</td>\n",
       "      <td>[Liam Hemsworth, Jeff Goldblum, Bill Pullman, ...</td>\n",
       "      <td>2016</td>\n",
       "      <td>120</td>\n",
       "      <td>5.3</td>\n",
       "      <td>127553</td>\n",
       "      <td>103.14</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>Paris pieds nus</td>\n",
       "      <td>[Comedy]</td>\n",
       "      <td>Fiona visits Paris for the first time to assis...</td>\n",
       "      <td>Dominique Abel</td>\n",
       "      <td>[Fiona Gordon, Dominique Abel, Emmanuelle Riva...</td>\n",
       "      <td>2016</td>\n",
       "      <td>83</td>\n",
       "      <td>6.8</td>\n",
       "      <td>222</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>Bahubali: The Beginning</td>\n",
       "      <td>[Action, Adventure, Drama]</td>\n",
       "      <td>In ancient India, an adventurous and daring ma...</td>\n",
       "      <td>S.S. Rajamouli</td>\n",
       "      <td>[Prabhas, Rana Daggubati, Anushka Shetty, Tama...</td>\n",
       "      <td>2015</td>\n",
       "      <td>159</td>\n",
       "      <td>8.3</td>\n",
       "      <td>76193</td>\n",
       "      <td>6.50</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>Dead Awake</td>\n",
       "      <td>[Horror, Thriller]</td>\n",
       "      <td>A young woman must save herself and her friend...</td>\n",
       "      <td>Phillip Guzman</td>\n",
       "      <td>[Jocelin Donahue, Jesse Bradford, Jesse Borreg...</td>\n",
       "      <td>2016</td>\n",
       "      <td>99</td>\n",
       "      <td>4.7</td>\n",
       "      <td>523</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>Bad Moms</td>\n",
       "      <td>[Comedy]</td>\n",
       "      <td>When three overworked and under-appreciated mo...</td>\n",
       "      <td>Jon Lucas</td>\n",
       "      <td>[Mila Kunis, Kathryn Hahn, Kristen Bell, Chris...</td>\n",
       "      <td>2016</td>\n",
       "      <td>100</td>\n",
       "      <td>6.2</td>\n",
       "      <td>66540</td>\n",
       "      <td>113.08</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>Assassin's Creed</td>\n",
       "      <td>[Action, Adventure, Drama]</td>\n",
       "      <td>When Callum Lynch explores the memories of his...</td>\n",
       "      <td>Justin Kurzel</td>\n",
       "      <td>[Michael Fassbender, Marion Cotillard, Jeremy ...</td>\n",
       "      <td>2016</td>\n",
       "      <td>115</td>\n",
       "      <td>5.9</td>\n",
       "      <td>112813</td>\n",
       "      <td>54.65</td>\n",
       "      <td>36.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>970</th>\n",
       "      <td>971</td>\n",
       "      <td>Texas Chainsaw 3D</td>\n",
       "      <td>[Horror, Thriller]</td>\n",
       "      <td>A young woman travels to Texas to collect an i...</td>\n",
       "      <td>John Luessenhop</td>\n",
       "      <td>[Alexandra Daddario, Tania Raymonde, Scott Eas...</td>\n",
       "      <td>2013</td>\n",
       "      <td>92</td>\n",
       "      <td>4.8</td>\n",
       "      <td>37060</td>\n",
       "      <td>34.33</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td>972</td>\n",
       "      <td>Disturbia</td>\n",
       "      <td>[Drama, Mystery, Thriller]</td>\n",
       "      <td>A teen living under house arrest becomes convi...</td>\n",
       "      <td>D.J. Caruso</td>\n",
       "      <td>[Shia LaBeouf, David Morse, Carrie-Anne Moss, ...</td>\n",
       "      <td>2007</td>\n",
       "      <td>105</td>\n",
       "      <td>6.9</td>\n",
       "      <td>193491</td>\n",
       "      <td>80.05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>973</td>\n",
       "      <td>Rock of Ages</td>\n",
       "      <td>[Comedy, Drama, Musical]</td>\n",
       "      <td>A small town girl and a city boy meet on the S...</td>\n",
       "      <td>Adam Shankman</td>\n",
       "      <td>[Julianne Hough, Diego Boneta, Tom Cruise, Ale...</td>\n",
       "      <td>2012</td>\n",
       "      <td>123</td>\n",
       "      <td>5.9</td>\n",
       "      <td>64513</td>\n",
       "      <td>38.51</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>974</td>\n",
       "      <td>Scream 4</td>\n",
       "      <td>[Horror, Mystery]</td>\n",
       "      <td>Ten years have passed, and Sidney Prescott, wh...</td>\n",
       "      <td>Wes Craven</td>\n",
       "      <td>[Neve Campbell, Courteney Cox, David Arquette,...</td>\n",
       "      <td>2011</td>\n",
       "      <td>111</td>\n",
       "      <td>6.2</td>\n",
       "      <td>108544</td>\n",
       "      <td>38.18</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>975</td>\n",
       "      <td>Queen of Katwe</td>\n",
       "      <td>[Biography, Drama, Sport]</td>\n",
       "      <td>A Ugandan girl sees her world rapidly change a...</td>\n",
       "      <td>Mira Nair</td>\n",
       "      <td>[Madina Nalwanga, David Oyelowo, Lupita Nyong'...</td>\n",
       "      <td>2016</td>\n",
       "      <td>124</td>\n",
       "      <td>7.4</td>\n",
       "      <td>6753</td>\n",
       "      <td>8.81</td>\n",
       "      <td>73.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>975</th>\n",
       "      <td>976</td>\n",
       "      <td>My Big Fat Greek Wedding 2</td>\n",
       "      <td>[Comedy, Family, Romance]</td>\n",
       "      <td>A Portokalos family secret brings the beloved ...</td>\n",
       "      <td>Kirk Jones</td>\n",
       "      <td>[Nia Vardalos, John Corbett, Michael Constanti...</td>\n",
       "      <td>2016</td>\n",
       "      <td>94</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20966</td>\n",
       "      <td>59.57</td>\n",
       "      <td>37.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td>977</td>\n",
       "      <td>Dark Places</td>\n",
       "      <td>[Drama, Mystery, Thriller]</td>\n",
       "      <td>Libby Day was only eight years old when her fa...</td>\n",
       "      <td>Gilles Paquet-Brenner</td>\n",
       "      <td>[Charlize Theron, Nicholas Hoult, Christina He...</td>\n",
       "      <td>2015</td>\n",
       "      <td>113</td>\n",
       "      <td>6.2</td>\n",
       "      <td>31634</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>977</th>\n",
       "      <td>978</td>\n",
       "      <td>Amateur Night</td>\n",
       "      <td>[Comedy]</td>\n",
       "      <td>Guy Carter is an award-winning graduate studen...</td>\n",
       "      <td>Lisa Addario</td>\n",
       "      <td>[Jason Biggs, Janet Montgomery, Ashley Tisdale...</td>\n",
       "      <td>2016</td>\n",
       "      <td>92</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2229</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>978</th>\n",
       "      <td>979</td>\n",
       "      <td>It's Only the End of the World</td>\n",
       "      <td>[Drama]</td>\n",
       "      <td>Louis (Gaspard Ulliel), a terminally ill write...</td>\n",
       "      <td>Xavier Dolan</td>\n",
       "      <td>[Nathalie Baye, Vincent Cassel, Marion Cotilla...</td>\n",
       "      <td>2016</td>\n",
       "      <td>97</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10658</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979</th>\n",
       "      <td>980</td>\n",
       "      <td>The Skin I Live In</td>\n",
       "      <td>[Drama, Thriller]</td>\n",
       "      <td>A brilliant plastic surgeon, haunted by past t...</td>\n",
       "      <td>Pedro Almodóvar</td>\n",
       "      <td>[Antonio Banderas, Elena Anaya, Jan Cornet, Ma...</td>\n",
       "      <td>2011</td>\n",
       "      <td>120</td>\n",
       "      <td>7.6</td>\n",
       "      <td>108772</td>\n",
       "      <td>3.19</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>980</th>\n",
       "      <td>981</td>\n",
       "      <td>Miracles from Heaven</td>\n",
       "      <td>[Biography, Drama, Family]</td>\n",
       "      <td>A young girl suffering from a rare digestive d...</td>\n",
       "      <td>Patricia Riggen</td>\n",
       "      <td>[Jennifer Garner, Kylie Rogers, Martin Henders...</td>\n",
       "      <td>2016</td>\n",
       "      <td>109</td>\n",
       "      <td>7.0</td>\n",
       "      <td>12048</td>\n",
       "      <td>61.69</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>981</th>\n",
       "      <td>982</td>\n",
       "      <td>Annie</td>\n",
       "      <td>[Comedy, Drama, Family]</td>\n",
       "      <td>A foster kid, who lives with her mean foster m...</td>\n",
       "      <td>Will Gluck</td>\n",
       "      <td>[Quvenzhané Wallis, Cameron Diaz, Jamie Foxx, ...</td>\n",
       "      <td>2014</td>\n",
       "      <td>118</td>\n",
       "      <td>5.3</td>\n",
       "      <td>27312</td>\n",
       "      <td>85.91</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>982</th>\n",
       "      <td>983</td>\n",
       "      <td>Across the Universe</td>\n",
       "      <td>[Drama, Fantasy, Musical]</td>\n",
       "      <td>The music of the Beatles and the Vietnam War f...</td>\n",
       "      <td>Julie Taymor</td>\n",
       "      <td>[Evan Rachel Wood, Jim Sturgess, Joe Anderson,...</td>\n",
       "      <td>2007</td>\n",
       "      <td>133</td>\n",
       "      <td>7.4</td>\n",
       "      <td>95172</td>\n",
       "      <td>24.34</td>\n",
       "      <td>56.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>983</th>\n",
       "      <td>984</td>\n",
       "      <td>Let's Be Cops</td>\n",
       "      <td>[Comedy]</td>\n",
       "      <td>Two struggling pals dress as police officers f...</td>\n",
       "      <td>Luke Greenfield</td>\n",
       "      <td>[Jake Johnson, Damon Wayans Jr., Rob Riggle, N...</td>\n",
       "      <td>2014</td>\n",
       "      <td>104</td>\n",
       "      <td>6.5</td>\n",
       "      <td>112729</td>\n",
       "      <td>82.39</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>984</th>\n",
       "      <td>985</td>\n",
       "      <td>Max</td>\n",
       "      <td>[Adventure, Family]</td>\n",
       "      <td>A Malinois dog that helped American Marines in...</td>\n",
       "      <td>Boaz Yakin</td>\n",
       "      <td>[Thomas Haden Church, Josh Wiggins, Luke Klein...</td>\n",
       "      <td>2015</td>\n",
       "      <td>111</td>\n",
       "      <td>6.8</td>\n",
       "      <td>21405</td>\n",
       "      <td>42.65</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>985</th>\n",
       "      <td>986</td>\n",
       "      <td>Your Highness</td>\n",
       "      <td>[Adventure, Comedy, Fantasy]</td>\n",
       "      <td>When Prince Fabious's bride is kidnapped, he g...</td>\n",
       "      <td>David Gordon Green</td>\n",
       "      <td>[Danny McBride, Natalie Portman, James Franco,...</td>\n",
       "      <td>2011</td>\n",
       "      <td>102</td>\n",
       "      <td>5.6</td>\n",
       "      <td>87904</td>\n",
       "      <td>21.56</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>986</th>\n",
       "      <td>987</td>\n",
       "      <td>Final Destination 5</td>\n",
       "      <td>[Horror, Thriller]</td>\n",
       "      <td>Survivors of a suspension-bridge collapse lear...</td>\n",
       "      <td>Steven Quale</td>\n",
       "      <td>[Nicholas D'Agosto, Emma Bell, Arlen Escarpeta...</td>\n",
       "      <td>2011</td>\n",
       "      <td>92</td>\n",
       "      <td>5.9</td>\n",
       "      <td>88000</td>\n",
       "      <td>42.58</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>988</td>\n",
       "      <td>Endless Love</td>\n",
       "      <td>[Drama, Romance]</td>\n",
       "      <td>The story of a privileged girl and a charismat...</td>\n",
       "      <td>Shana Feste</td>\n",
       "      <td>[Gabriella Wilde, Alex Pettyfer, Bruce Greenwo...</td>\n",
       "      <td>2014</td>\n",
       "      <td>104</td>\n",
       "      <td>6.3</td>\n",
       "      <td>33688</td>\n",
       "      <td>23.39</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>988</th>\n",
       "      <td>989</td>\n",
       "      <td>Martyrs</td>\n",
       "      <td>[Horror]</td>\n",
       "      <td>A young woman's quest for revenge against the ...</td>\n",
       "      <td>Pascal Laugier</td>\n",
       "      <td>[Morjana Alaoui, Mylène Jampanoï, Catherine Bé...</td>\n",
       "      <td>2008</td>\n",
       "      <td>99</td>\n",
       "      <td>7.1</td>\n",
       "      <td>63785</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>990</td>\n",
       "      <td>Selma</td>\n",
       "      <td>[Biography, Drama, History]</td>\n",
       "      <td>A chronicle of Martin Luther King's campaign t...</td>\n",
       "      <td>Ava DuVernay</td>\n",
       "      <td>[David Oyelowo, Carmen Ejogo, Tim Roth, Lorrai...</td>\n",
       "      <td>2014</td>\n",
       "      <td>128</td>\n",
       "      <td>7.5</td>\n",
       "      <td>67637</td>\n",
       "      <td>52.07</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>991</td>\n",
       "      <td>Underworld: Rise of the Lycans</td>\n",
       "      <td>[Action, Adventure, Fantasy]</td>\n",
       "      <td>An origins story centered on the centuries-old...</td>\n",
       "      <td>Patrick Tatopoulos</td>\n",
       "      <td>[Rhona Mitra, Michael Sheen, Bill Nighy, Steve...</td>\n",
       "      <td>2009</td>\n",
       "      <td>92</td>\n",
       "      <td>6.6</td>\n",
       "      <td>129708</td>\n",
       "      <td>45.80</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>992</td>\n",
       "      <td>Taare Zameen Par</td>\n",
       "      <td>[Drama, Family, Music]</td>\n",
       "      <td>An eight-year-old boy is thought to be a lazy ...</td>\n",
       "      <td>Aamir Khan</td>\n",
       "      <td>[Darsheel Safary, Aamir Khan, Tanay Chheda, Sa...</td>\n",
       "      <td>2007</td>\n",
       "      <td>165</td>\n",
       "      <td>8.5</td>\n",
       "      <td>102697</td>\n",
       "      <td>1.20</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>993</td>\n",
       "      <td>Take Me Home Tonight</td>\n",
       "      <td>[Comedy, Drama, Romance]</td>\n",
       "      <td>Four years after graduation, an awkward high s...</td>\n",
       "      <td>Michael Dowse</td>\n",
       "      <td>[Topher Grace, Anna Faris, Dan Fogler, Teresa ...</td>\n",
       "      <td>2011</td>\n",
       "      <td>97</td>\n",
       "      <td>6.3</td>\n",
       "      <td>45419</td>\n",
       "      <td>6.92</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>994</td>\n",
       "      <td>Resident Evil: Afterlife</td>\n",
       "      <td>[Action, Adventure, Horror]</td>\n",
       "      <td>While still out to destroy the evil Umbrella C...</td>\n",
       "      <td>Paul W.S. Anderson</td>\n",
       "      <td>[Milla Jovovich, Ali Larter, Wentworth Miller,...</td>\n",
       "      <td>2010</td>\n",
       "      <td>97</td>\n",
       "      <td>5.9</td>\n",
       "      <td>140900</td>\n",
       "      <td>60.13</td>\n",
       "      <td>37.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>995</td>\n",
       "      <td>Project X</td>\n",
       "      <td>[Comedy]</td>\n",
       "      <td>3 high school seniors throw a birthday party t...</td>\n",
       "      <td>Nima Nourizadeh</td>\n",
       "      <td>[Thomas Mann, Oliver Cooper, Jonathan Daniel B...</td>\n",
       "      <td>2012</td>\n",
       "      <td>88</td>\n",
       "      <td>6.7</td>\n",
       "      <td>164088</td>\n",
       "      <td>54.72</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>996</td>\n",
       "      <td>Secret in Their Eyes</td>\n",
       "      <td>[Crime, Drama, Mystery]</td>\n",
       "      <td>A tight-knit team of rising investigators, alo...</td>\n",
       "      <td>Billy Ray</td>\n",
       "      <td>[Chiwetel Ejiofor, Nicole Kidman, Julia Robert...</td>\n",
       "      <td>2015</td>\n",
       "      <td>111</td>\n",
       "      <td>6.2</td>\n",
       "      <td>27585</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>997</td>\n",
       "      <td>Hostel: Part II</td>\n",
       "      <td>[Horror]</td>\n",
       "      <td>Three American college students studying abroa...</td>\n",
       "      <td>Eli Roth</td>\n",
       "      <td>[Lauren German, Heather Matarazzo, Bijou Phill...</td>\n",
       "      <td>2007</td>\n",
       "      <td>94</td>\n",
       "      <td>5.5</td>\n",
       "      <td>73152</td>\n",
       "      <td>17.54</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>998</td>\n",
       "      <td>Step Up 2: The Streets</td>\n",
       "      <td>[Drama, Music, Romance]</td>\n",
       "      <td>Romantic sparks occur between two dance studen...</td>\n",
       "      <td>Jon M. Chu</td>\n",
       "      <td>[Robert Hoffman, Briana Evigan, Cassie Ventura...</td>\n",
       "      <td>2008</td>\n",
       "      <td>98</td>\n",
       "      <td>6.2</td>\n",
       "      <td>70699</td>\n",
       "      <td>58.01</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>999</td>\n",
       "      <td>Search Party</td>\n",
       "      <td>[Adventure, Comedy]</td>\n",
       "      <td>A pair of friends embark on a mission to reuni...</td>\n",
       "      <td>Scot Armstrong</td>\n",
       "      <td>[Adam Pally, T.J. Miller, Thomas Middleditch, ...</td>\n",
       "      <td>2014</td>\n",
       "      <td>93</td>\n",
       "      <td>5.6</td>\n",
       "      <td>4881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>1000</td>\n",
       "      <td>Nine Lives</td>\n",
       "      <td>[Comedy, Family, Fantasy]</td>\n",
       "      <td>A stuffy businessman finds himself trapped ins...</td>\n",
       "      <td>Barry Sonnenfeld</td>\n",
       "      <td>[Kevin Spacey, Jennifer Garner, Robbie Amell, ...</td>\n",
       "      <td>2016</td>\n",
       "      <td>87</td>\n",
       "      <td>5.3</td>\n",
       "      <td>12435</td>\n",
       "      <td>19.64</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Rank                                    Title  \\\n",
       "0       1                  Guardians of the Galaxy   \n",
       "1       2                               Prometheus   \n",
       "2       3                                    Split   \n",
       "3       4                                     Sing   \n",
       "4       5                            Suicide Squad   \n",
       "5       6                           The Great Wall   \n",
       "6       7                               La La Land   \n",
       "7       8                                 Mindhorn   \n",
       "8       9                       The Lost City of Z   \n",
       "9      10                               Passengers   \n",
       "10     11  Fantastic Beasts and Where to Find Them   \n",
       "11     12                           Hidden Figures   \n",
       "12     13                                Rogue One   \n",
       "13     14                                    Moana   \n",
       "14     15                                 Colossal   \n",
       "15     16                  The Secret Life of Pets   \n",
       "16     17                            Hacksaw Ridge   \n",
       "17     18                             Jason Bourne   \n",
       "18     19                                     Lion   \n",
       "19     20                                  Arrival   \n",
       "20     21                                     Gold   \n",
       "21     22                    Manchester by the Sea   \n",
       "22     23                           Hounds of Love   \n",
       "23     24                                   Trolls   \n",
       "24     25             Independence Day: Resurgence   \n",
       "25     26                          Paris pieds nus   \n",
       "26     27                  Bahubali: The Beginning   \n",
       "27     28                               Dead Awake   \n",
       "28     29                                 Bad Moms   \n",
       "29     30                         Assassin's Creed   \n",
       "..    ...                                      ...   \n",
       "970   971                        Texas Chainsaw 3D   \n",
       "971   972                                Disturbia   \n",
       "972   973                             Rock of Ages   \n",
       "973   974                                 Scream 4   \n",
       "974   975                           Queen of Katwe   \n",
       "975   976               My Big Fat Greek Wedding 2   \n",
       "976   977                              Dark Places   \n",
       "977   978                            Amateur Night   \n",
       "978   979           It's Only the End of the World   \n",
       "979   980                       The Skin I Live In   \n",
       "980   981                     Miracles from Heaven   \n",
       "981   982                                    Annie   \n",
       "982   983                      Across the Universe   \n",
       "983   984                            Let's Be Cops   \n",
       "984   985                                      Max   \n",
       "985   986                            Your Highness   \n",
       "986   987                      Final Destination 5   \n",
       "987   988                             Endless Love   \n",
       "988   989                                  Martyrs   \n",
       "989   990                                    Selma   \n",
       "990   991           Underworld: Rise of the Lycans   \n",
       "991   992                         Taare Zameen Par   \n",
       "992   993                     Take Me Home Tonight   \n",
       "993   994                 Resident Evil: Afterlife   \n",
       "994   995                                Project X   \n",
       "995   996                     Secret in Their Eyes   \n",
       "996   997                          Hostel: Part II   \n",
       "997   998                   Step Up 2: The Streets   \n",
       "998   999                             Search Party   \n",
       "999  1000                               Nine Lives   \n",
       "\n",
       "                              Genre  \\\n",
       "0       [Action, Adventure, Sci-Fi]   \n",
       "1      [Adventure, Mystery, Sci-Fi]   \n",
       "2                [Horror, Thriller]   \n",
       "3       [Animation, Comedy, Family]   \n",
       "4      [Action, Adventure, Fantasy]   \n",
       "5      [Action, Adventure, Fantasy]   \n",
       "6            [Comedy, Drama, Music]   \n",
       "7                          [Comedy]   \n",
       "8    [Action, Adventure, Biography]   \n",
       "9       [Adventure, Drama, Romance]   \n",
       "10     [Adventure, Family, Fantasy]   \n",
       "11      [Biography, Drama, History]   \n",
       "12      [Action, Adventure, Sci-Fi]   \n",
       "13   [Animation, Adventure, Comedy]   \n",
       "14          [Action, Comedy, Drama]   \n",
       "15   [Animation, Adventure, Comedy]   \n",
       "16      [Biography, Drama, History]   \n",
       "17               [Action, Thriller]   \n",
       "18               [Biography, Drama]   \n",
       "19         [Drama, Mystery, Sci-Fi]   \n",
       "20     [Adventure, Drama, Thriller]   \n",
       "21                          [Drama]   \n",
       "22           [Crime, Drama, Horror]   \n",
       "23   [Animation, Adventure, Comedy]   \n",
       "24      [Action, Adventure, Sci-Fi]   \n",
       "25                         [Comedy]   \n",
       "26       [Action, Adventure, Drama]   \n",
       "27               [Horror, Thriller]   \n",
       "28                         [Comedy]   \n",
       "29       [Action, Adventure, Drama]   \n",
       "..                              ...   \n",
       "970              [Horror, Thriller]   \n",
       "971      [Drama, Mystery, Thriller]   \n",
       "972        [Comedy, Drama, Musical]   \n",
       "973               [Horror, Mystery]   \n",
       "974       [Biography, Drama, Sport]   \n",
       "975       [Comedy, Family, Romance]   \n",
       "976      [Drama, Mystery, Thriller]   \n",
       "977                        [Comedy]   \n",
       "978                         [Drama]   \n",
       "979               [Drama, Thriller]   \n",
       "980      [Biography, Drama, Family]   \n",
       "981         [Comedy, Drama, Family]   \n",
       "982       [Drama, Fantasy, Musical]   \n",
       "983                        [Comedy]   \n",
       "984             [Adventure, Family]   \n",
       "985    [Adventure, Comedy, Fantasy]   \n",
       "986              [Horror, Thriller]   \n",
       "987                [Drama, Romance]   \n",
       "988                        [Horror]   \n",
       "989     [Biography, Drama, History]   \n",
       "990    [Action, Adventure, Fantasy]   \n",
       "991          [Drama, Family, Music]   \n",
       "992        [Comedy, Drama, Romance]   \n",
       "993     [Action, Adventure, Horror]   \n",
       "994                        [Comedy]   \n",
       "995         [Crime, Drama, Mystery]   \n",
       "996                        [Horror]   \n",
       "997         [Drama, Music, Romance]   \n",
       "998             [Adventure, Comedy]   \n",
       "999       [Comedy, Family, Fantasy]   \n",
       "\n",
       "                                           Description               Director  \\\n",
       "0    A group of intergalactic criminals are forced ...             James Gunn   \n",
       "1    Following clues to the origin of mankind, a te...           Ridley Scott   \n",
       "2    Three girls are kidnapped by a man with a diag...     M. Night Shyamalan   \n",
       "3    In a city of humanoid animals, a hustling thea...   Christophe Lourdelet   \n",
       "4    A secret government agency recruits some of th...             David Ayer   \n",
       "5    European mercenaries searching for black powde...            Yimou Zhang   \n",
       "6    A jazz pianist falls for an aspiring actress i...        Damien Chazelle   \n",
       "7    A has-been actor best known for playing the ti...             Sean Foley   \n",
       "8    A true-life drama, centering on British explor...             James Gray   \n",
       "9    A spacecraft traveling to a distant colony pla...          Morten Tyldum   \n",
       "10   The adventures of writer Newt Scamander in New...            David Yates   \n",
       "11   The story of a team of female African-American...         Theodore Melfi   \n",
       "12   The Rebel Alliance makes a risky move to steal...         Gareth Edwards   \n",
       "13   In Ancient Polynesia, when a terrible curse in...           Ron Clements   \n",
       "14   Gloria is an out-of-work party girl forced to ...        Nacho Vigalondo   \n",
       "15   The quiet life of a terrier named Max is upend...           Chris Renaud   \n",
       "16   WWII American Army Medic Desmond T. Doss, who ...             Mel Gibson   \n",
       "17   The CIA's most dangerous former operative is d...        Paul Greengrass   \n",
       "18   A five-year-old Indian boy gets lost on the st...            Garth Davis   \n",
       "19   When twelve mysterious spacecraft appear aroun...       Denis Villeneuve   \n",
       "20   Kenny Wells, a prospector desperate for a luck...         Stephen Gaghan   \n",
       "21   A depressed uncle is asked to take care of his...       Kenneth Lonergan   \n",
       "22   A cold-blooded predatory couple while cruising...              Ben Young   \n",
       "23   After the Bergens invade Troll Village, Poppy,...             Walt Dohrn   \n",
       "24   Two decades after the first Independence Day i...        Roland Emmerich   \n",
       "25   Fiona visits Paris for the first time to assis...         Dominique Abel   \n",
       "26   In ancient India, an adventurous and daring ma...         S.S. Rajamouli   \n",
       "27   A young woman must save herself and her friend...         Phillip Guzman   \n",
       "28   When three overworked and under-appreciated mo...              Jon Lucas   \n",
       "29   When Callum Lynch explores the memories of his...          Justin Kurzel   \n",
       "..                                                 ...                    ...   \n",
       "970  A young woman travels to Texas to collect an i...        John Luessenhop   \n",
       "971  A teen living under house arrest becomes convi...            D.J. Caruso   \n",
       "972  A small town girl and a city boy meet on the S...          Adam Shankman   \n",
       "973  Ten years have passed, and Sidney Prescott, wh...             Wes Craven   \n",
       "974  A Ugandan girl sees her world rapidly change a...              Mira Nair   \n",
       "975  A Portokalos family secret brings the beloved ...             Kirk Jones   \n",
       "976  Libby Day was only eight years old when her fa...  Gilles Paquet-Brenner   \n",
       "977  Guy Carter is an award-winning graduate studen...           Lisa Addario   \n",
       "978  Louis (Gaspard Ulliel), a terminally ill write...           Xavier Dolan   \n",
       "979  A brilliant plastic surgeon, haunted by past t...        Pedro Almodóvar   \n",
       "980  A young girl suffering from a rare digestive d...        Patricia Riggen   \n",
       "981  A foster kid, who lives with her mean foster m...             Will Gluck   \n",
       "982  The music of the Beatles and the Vietnam War f...           Julie Taymor   \n",
       "983  Two struggling pals dress as police officers f...        Luke Greenfield   \n",
       "984  A Malinois dog that helped American Marines in...             Boaz Yakin   \n",
       "985  When Prince Fabious's bride is kidnapped, he g...     David Gordon Green   \n",
       "986  Survivors of a suspension-bridge collapse lear...           Steven Quale   \n",
       "987  The story of a privileged girl and a charismat...            Shana Feste   \n",
       "988  A young woman's quest for revenge against the ...         Pascal Laugier   \n",
       "989  A chronicle of Martin Luther King's campaign t...           Ava DuVernay   \n",
       "990  An origins story centered on the centuries-old...     Patrick Tatopoulos   \n",
       "991  An eight-year-old boy is thought to be a lazy ...             Aamir Khan   \n",
       "992  Four years after graduation, an awkward high s...          Michael Dowse   \n",
       "993  While still out to destroy the evil Umbrella C...     Paul W.S. Anderson   \n",
       "994  3 high school seniors throw a birthday party t...        Nima Nourizadeh   \n",
       "995  A tight-knit team of rising investigators, alo...              Billy Ray   \n",
       "996  Three American college students studying abroa...               Eli Roth   \n",
       "997  Romantic sparks occur between two dance studen...             Jon M. Chu   \n",
       "998  A pair of friends embark on a mission to reuni...         Scot Armstrong   \n",
       "999  A stuffy businessman finds himself trapped ins...       Barry Sonnenfeld   \n",
       "\n",
       "                                                Actors  Year  \\\n",
       "0    [Chris Pratt, Vin Diesel, Bradley Cooper, Zoe ...  2014   \n",
       "1    [Noomi Rapace, Logan Marshall-Green, Michael F...  2012   \n",
       "2    [James McAvoy, Anya Taylor-Joy, Haley Lu Richa...  2016   \n",
       "3    [Matthew McConaughey, Reese Witherspoon, Seth ...  2016   \n",
       "4    [Will Smith, Jared Leto, Margot Robbie, Viola ...  2016   \n",
       "5      [Matt Damon, Tian Jing, Willem Dafoe, Andy Lau]  2016   \n",
       "6    [Ryan Gosling, Emma Stone, Rosemarie DeWitt, J...  2016   \n",
       "7    [Essie Davis, Andrea Riseborough, Julian Barra...  2016   \n",
       "8    [Charlie Hunnam, Robert Pattinson, Sienna Mill...  2016   \n",
       "9    [Jennifer Lawrence, Chris Pratt, Michael Sheen...  2016   \n",
       "10   [Eddie Redmayne, Katherine Waterston, Alison S...  2016   \n",
       "11   [Taraji P. Henson, Octavia Spencer, Janelle Mo...  2016   \n",
       "12   [Felicity Jones, Diego Luna, Alan Tudyk, Donni...  2016   \n",
       "13   [Auli'i Cravalho, Dwayne Johnson, Rachel House...  2016   \n",
       "14   [Anne Hathaway, Jason Sudeikis, Austin Stowell...  2016   \n",
       "15   [Louis C.K., Eric Stonestreet, Kevin Hart, Lak...  2016   \n",
       "16   [Andrew Garfield, Sam Worthington, Luke Bracey...  2016   \n",
       "17   [Matt Damon, Tommy Lee Jones, Alicia Vikander,...  2016   \n",
       "18   [Dev Patel, Nicole Kidman, Rooney Mara, Sunny ...  2016   \n",
       "19   [Amy Adams, Jeremy Renner, Forest Whitaker, Mi...  2016   \n",
       "20   [Matthew McConaughey, Edgar Ramírez, Bryce Dal...  2016   \n",
       "21   [Casey Affleck, Michelle Williams, Kyle Chandl...  2016   \n",
       "22   [Emma Booth, Ashleigh Cummings, Stephen Curry,...  2016   \n",
       "23   [Anna Kendrick, Justin Timberlake, Zooey Desch...  2016   \n",
       "24   [Liam Hemsworth, Jeff Goldblum, Bill Pullman, ...  2016   \n",
       "25   [Fiona Gordon, Dominique Abel, Emmanuelle Riva...  2016   \n",
       "26   [Prabhas, Rana Daggubati, Anushka Shetty, Tama...  2015   \n",
       "27   [Jocelin Donahue, Jesse Bradford, Jesse Borreg...  2016   \n",
       "28   [Mila Kunis, Kathryn Hahn, Kristen Bell, Chris...  2016   \n",
       "29   [Michael Fassbender, Marion Cotillard, Jeremy ...  2016   \n",
       "..                                                 ...   ...   \n",
       "970  [Alexandra Daddario, Tania Raymonde, Scott Eas...  2013   \n",
       "971  [Shia LaBeouf, David Morse, Carrie-Anne Moss, ...  2007   \n",
       "972  [Julianne Hough, Diego Boneta, Tom Cruise, Ale...  2012   \n",
       "973  [Neve Campbell, Courteney Cox, David Arquette,...  2011   \n",
       "974  [Madina Nalwanga, David Oyelowo, Lupita Nyong'...  2016   \n",
       "975  [Nia Vardalos, John Corbett, Michael Constanti...  2016   \n",
       "976  [Charlize Theron, Nicholas Hoult, Christina He...  2015   \n",
       "977  [Jason Biggs, Janet Montgomery, Ashley Tisdale...  2016   \n",
       "978  [Nathalie Baye, Vincent Cassel, Marion Cotilla...  2016   \n",
       "979  [Antonio Banderas, Elena Anaya, Jan Cornet, Ma...  2011   \n",
       "980  [Jennifer Garner, Kylie Rogers, Martin Henders...  2016   \n",
       "981  [Quvenzhané Wallis, Cameron Diaz, Jamie Foxx, ...  2014   \n",
       "982  [Evan Rachel Wood, Jim Sturgess, Joe Anderson,...  2007   \n",
       "983  [Jake Johnson, Damon Wayans Jr., Rob Riggle, N...  2014   \n",
       "984  [Thomas Haden Church, Josh Wiggins, Luke Klein...  2015   \n",
       "985  [Danny McBride, Natalie Portman, James Franco,...  2011   \n",
       "986  [Nicholas D'Agosto, Emma Bell, Arlen Escarpeta...  2011   \n",
       "987  [Gabriella Wilde, Alex Pettyfer, Bruce Greenwo...  2014   \n",
       "988  [Morjana Alaoui, Mylène Jampanoï, Catherine Bé...  2008   \n",
       "989  [David Oyelowo, Carmen Ejogo, Tim Roth, Lorrai...  2014   \n",
       "990  [Rhona Mitra, Michael Sheen, Bill Nighy, Steve...  2009   \n",
       "991  [Darsheel Safary, Aamir Khan, Tanay Chheda, Sa...  2007   \n",
       "992  [Topher Grace, Anna Faris, Dan Fogler, Teresa ...  2011   \n",
       "993  [Milla Jovovich, Ali Larter, Wentworth Miller,...  2010   \n",
       "994  [Thomas Mann, Oliver Cooper, Jonathan Daniel B...  2012   \n",
       "995  [Chiwetel Ejiofor, Nicole Kidman, Julia Robert...  2015   \n",
       "996  [Lauren German, Heather Matarazzo, Bijou Phill...  2007   \n",
       "997  [Robert Hoffman, Briana Evigan, Cassie Ventura...  2008   \n",
       "998  [Adam Pally, T.J. Miller, Thomas Middleditch, ...  2014   \n",
       "999  [Kevin Spacey, Jennifer Garner, Robbie Amell, ...  2016   \n",
       "\n",
       "     Runtime (Minutes)  Rating   Votes  Revenue (Millions)  Metascore  \n",
       "0                  121     8.1  757074              333.13       76.0  \n",
       "1                  124     7.0  485820              126.46       65.0  \n",
       "2                  117     7.3  157606              138.12       62.0  \n",
       "3                  108     7.2   60545              270.32       59.0  \n",
       "4                  123     6.2  393727              325.02       40.0  \n",
       "5                  103     6.1   56036               45.13       42.0  \n",
       "6                  128     8.3  258682              151.06       93.0  \n",
       "7                   89     6.4    2490                 NaN       71.0  \n",
       "8                  141     7.1    7188                8.01       78.0  \n",
       "9                  116     7.0  192177              100.01       41.0  \n",
       "10                 133     7.5  232072              234.02       66.0  \n",
       "11                 127     7.8   93103              169.27       74.0  \n",
       "12                 133     7.9  323118              532.17       65.0  \n",
       "13                 107     7.7  118151              248.75       81.0  \n",
       "14                 109     6.4    8612                2.87       70.0  \n",
       "15                  87     6.6  120259              368.31       61.0  \n",
       "16                 139     8.2  211760               67.12       71.0  \n",
       "17                 123     6.7  150823              162.16       58.0  \n",
       "18                 118     8.1  102061               51.69       69.0  \n",
       "19                 116     8.0  340798              100.50       81.0  \n",
       "20                 120     6.7   19053                7.22       49.0  \n",
       "21                 137     7.9  134213               47.70       96.0  \n",
       "22                 108     6.7    1115                 NaN       72.0  \n",
       "23                  92     6.5   38552              153.69       56.0  \n",
       "24                 120     5.3  127553              103.14       32.0  \n",
       "25                  83     6.8     222                 NaN        NaN  \n",
       "26                 159     8.3   76193                6.50        NaN  \n",
       "27                  99     4.7     523                0.01        NaN  \n",
       "28                 100     6.2   66540              113.08       60.0  \n",
       "29                 115     5.9  112813               54.65       36.0  \n",
       "..                 ...     ...     ...                 ...        ...  \n",
       "970                 92     4.8   37060               34.33       62.0  \n",
       "971                105     6.9  193491               80.05        NaN  \n",
       "972                123     5.9   64513               38.51       47.0  \n",
       "973                111     6.2  108544               38.18       52.0  \n",
       "974                124     7.4    6753                8.81       73.0  \n",
       "975                 94     6.0   20966               59.57       37.0  \n",
       "976                113     6.2   31634                 NaN       39.0  \n",
       "977                 92     5.0    2229                 NaN       38.0  \n",
       "978                 97     7.0   10658                 NaN       48.0  \n",
       "979                120     7.6  108772                3.19       70.0  \n",
       "980                109     7.0   12048               61.69       44.0  \n",
       "981                118     5.3   27312               85.91       33.0  \n",
       "982                133     7.4   95172               24.34       56.0  \n",
       "983                104     6.5  112729               82.39       30.0  \n",
       "984                111     6.8   21405               42.65       47.0  \n",
       "985                102     5.6   87904               21.56       31.0  \n",
       "986                 92     5.9   88000               42.58       50.0  \n",
       "987                104     6.3   33688               23.39       30.0  \n",
       "988                 99     7.1   63785                 NaN       89.0  \n",
       "989                128     7.5   67637               52.07        NaN  \n",
       "990                 92     6.6  129708               45.80       44.0  \n",
       "991                165     8.5  102697                1.20       42.0  \n",
       "992                 97     6.3   45419                6.92        NaN  \n",
       "993                 97     5.9  140900               60.13       37.0  \n",
       "994                 88     6.7  164088               54.72       48.0  \n",
       "995                111     6.2   27585                 NaN       45.0  \n",
       "996                 94     5.5   73152               17.54       46.0  \n",
       "997                 98     6.2   70699               58.01       50.0  \n",
       "998                 93     5.6    4881                 NaN       22.0  \n",
       "999                 87     5.3   12435               19.64       11.0  \n",
       "\n",
       "[1000 rows x 12 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_data = pd.read_csv('IMDB-Movie-Data.csv')\n",
    "movie_data.Genre = movie_data.Genre.str.split(',')\n",
    "movie_data.Actors = movie_data.Actors.str.split(', |,')\n",
    "# movie_data = movie_data.nlargest(100, 'Revenue (Millions)')\n",
    "movie_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "actors = set([actor for actors in movie_data.Actors.tolist() for actor in actors])\n",
    "actors_temp = {}\n",
    "for actor in actors:\n",
    "    mask = movie_data.Actors.apply(lambda x: actor in x)\n",
    "    movies = movie_data[mask]\n",
    "    actors_temp[actor] = movies\n",
    "actors = actors_temp\n",
    "\n",
    "actor_relation = np.zeros(shape=(len(actors), len(actors)))\n",
    "actor2int = dict(zip(actors.keys(), itertools.count()))\n",
    "\n",
    "for i, row in movie_data.iterrows():\n",
    "    for actor in [actor2int[x] for x in row.Actors]:\n",
    "        for co_actor in [actor2int[x] for x in row.Actors]:\n",
    "            if actor != co_actor: # avoid loops\n",
    "                actor_relation[actor][co_actor] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "genres = set([genre for genres in movie_data.Genre.tolist() for genre in genres])\n",
    "\n",
    "genre_relation = np.zeros(shape=(len(genres), len(genres)))\n",
    "genre2int = dict(zip(genres, itertools.count()))\n",
    "\n",
    "genre_counts = {}\n",
    "for genre in genres:\n",
    "    genre_counts[genre] = 0\n",
    "\n",
    "for _, row in movie_data.iterrows():\n",
    "    for genre in row.Genre:\n",
    "        genre_counts[genre] += 1        \n",
    "        genre1 = genre2int[genre]\n",
    "        for genre2 in [genre2int[x] for x in row.Genre]:\n",
    "            if genre1 != genre2: # avoid loops\n",
    "                genre_relation[genre1][genre2] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "movie_relation = np.zeros(shape=(movie_data.shape[0], movie_data.shape[0]))\n",
    "movie2int = dict(zip(list(movie_data['Title']), itertools.count()))\n",
    "\n",
    "for actor, movies in actors.items():\n",
    "    for id1, movie1 in movies.iterrows():\n",
    "        for id2, movie2 in movies.iterrows():\n",
    "            if id1 != id2 and movie1.Year <= movie2.Year:\n",
    "                movie_relation[movie2int[movie1.Title]][movie2int[movie2.Title]] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mostFreqGenres(movies):\n",
    "    genres = {}\n",
    "    total = 0\n",
    "    \n",
    "    for _, movie in movies.iterrows():\n",
    "        for genre in movie.Genre:\n",
    "            if genre not in genres:\n",
    "                genres[genre] = 0\n",
    "            genres[genre] += 1\n",
    "            total += 1\n",
    "            \n",
    "    genres = { k: round(v / float(total)*100, 2) for k, v in genres.items() }\n",
    "        \n",
    "    return sorted(genres.items(), key=lambda x: x[1], reverse=True)\n",
    "\n",
    "fav_genres = {}\n",
    "for actor, movies in actors.items():\n",
    "    fav_genres[actor] = mostFreqGenres(movies)[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "actor_graph = nx.from_numpy_matrix(actor_relation)\n",
    "int2actor = dict(zip(itertools.count(), actors))\n",
    "nx.relabel_nodes(actor_graph, int2actor, copy=False)\n",
    "nx.set_node_attributes(actor_graph, fav_genres, 'fav_genre')\n",
    "nx.write_graphml(actor_graph, \"actor_graph.graphml\")\n",
    "\n",
    "genre_graph = nx.from_numpy_matrix(genre_relation)\n",
    "int2genre = dict(zip(itertools.count(), genres))\n",
    "nx.relabel_nodes(genre_graph, int2genre, copy=False)\n",
    "nx.write_graphml(genre_graph, \"genre_graph.graphml\")\n",
    "\n",
    "movie_graph = nx.from_numpy_matrix(movie_relation, create_using=nx.DiGraph())\n",
    "int2movie = dict(zip(itertools.count(), list(movie_data['Title'])))\n",
    "nx.relabel_nodes(movie_graph, int2movie, copy=False)\n",
    "nx.write_graphml(movie_graph, \"movie_graph.graphml\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Actor</th>\n",
       "      <th>Num. of collaborations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mark Wahlberg</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Hugh Jackman</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brad Pitt</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Christian Bale</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Michael Fassbender</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Jake Gyllenhaal</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Channing Tatum</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Tom Hardy</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Anne Hathaway</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Scarlett Johansson</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Actor Num. of collaborations\n",
       "0       Mark Wahlberg                     42\n",
       "1        Hugh Jackman                     41\n",
       "2           Brad Pitt                     37\n",
       "3      Christian Bale                     37\n",
       "4  Michael Fassbender                     33\n",
       "5     Jake Gyllenhaal                     33\n",
       "6      Channing Tatum                     33\n",
       "7           Tom Hardy                     33\n",
       "8       Anne Hathaway                     33\n",
       "9  Scarlett Johansson                     32"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1) Ko su glumci koji su glumili sa najviše drugih glumaca?\n",
    "colaborativeActors = sorted(actor_graph.degree, key=lambda x: x[1], reverse=True)[:10]\n",
    "\n",
    "pd.DataFrame(np.array(colaborativeActors).reshape(len(colaborativeActors),2), columns = ['Actor', 'Num. of collaborations'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.7974811083123425"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2) Koliki je prosečan broj glumaca sa kojima je jedan glumac igrao?\n",
    "sum(dict(actor_graph.degree).values()) / float(actor_graph.number_of_nodes())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Actor</th>\n",
       "      <th>Num. of movies</th>\n",
       "      <th>Most frequent genre</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mark Wahlberg</td>\n",
       "      <td>15</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Hugh Jackman</td>\n",
       "      <td>14</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Christian Bale</td>\n",
       "      <td>13</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Brad Pitt</td>\n",
       "      <td>13</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Michael Fassbender</td>\n",
       "      <td>12</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Scarlett Johansson</td>\n",
       "      <td>12</td>\n",
       "      <td>Sci-Fi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Anne Hathaway</td>\n",
       "      <td>12</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Johnny Depp</td>\n",
       "      <td>12</td>\n",
       "      <td>Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Tom Hardy</td>\n",
       "      <td>12</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Robert Downey Jr.</td>\n",
       "      <td>12</td>\n",
       "      <td>Action</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Actor Num. of movies Most frequent genre\n",
       "0       Mark Wahlberg             15               Drama\n",
       "1        Hugh Jackman             14               Drama\n",
       "2      Christian Bale             13               Drama\n",
       "3           Brad Pitt             13               Drama\n",
       "4  Michael Fassbender             12               Drama\n",
       "5  Scarlett Johansson             12              Sci-Fi\n",
       "6       Anne Hathaway             12               Drama\n",
       "7         Johnny Depp             12             Fantasy\n",
       "8           Tom Hardy             12               Drama\n",
       "9   Robert Downey Jr.             12              Action"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 3) Ko su najproduktivniji glumici i u kojim žanrovima su najviše igrali?\n",
    "productiveActors = sorted({(actor, movies.shape[0], mostFreqGenres(movies)[0][0]) for actor, movies in actors.items()}, key=lambda x: x[1], reverse=True)[:10]\n",
    "\n",
    "pd.DataFrame(np.array(productiveActors).reshape(len(productiveActors),3), columns = ['Actor', 'Num. of movies', 'Most frequent genre'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0029221174941090437"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 7) Kolika je gustina mreže?\n",
    "nx.density(actor_graph)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 8) U kojoj meri je mreža povezana i centralizovana?\n",
    "nx.node_connectivity(actor_graph, \"Idris Elba\", \"Mark Ruffalo\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "star_graph = nx.star_graph(actor_graph.number_of_nodes())\n",
    "def get_sg_ratio(cvs, csgvs):\n",
    "    max_k = max(cvs, key=cvs.get)\n",
    "\n",
    "    sumA = 0\n",
    "    for node in actor_graph.nodes():\n",
    "        sumA += cvs[max_k] - cvs[node]\n",
    "\n",
    "    sumS = 0\n",
    "    for node in star_graph.nodes():\n",
    "        sumS += csgvs[0] - csgvs[node]\n",
    "\n",
    "    return float(sumA) / sumS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Degree Centrality: 0.018256434540843837\n"
     ]
    }
   ],
   "source": [
    "dcvs = nx.degree_centrality(actor_graph)\n",
    "dcsgvs = nx.degree_centrality(star_graph)\n",
    "print(\"Degree Centrality:\", get_sg_ratio(dcvs, dcsgvs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Betweenness Centrality: 0.02544151758268539\n"
     ]
    }
   ],
   "source": [
    "bcvs = nx.betweenness_centrality(actor_graph)\n",
    "bcsgvs = nx.betweenness_centrality(star_graph)\n",
    "print(\"Betweenness Centrality:\", get_sg_ratio(bcvs, bcsgvs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Closeness Centrality: 0.22937562724687707\n"
     ]
    }
   ],
   "source": [
    "ccvs = nx.closeness_centrality(actor_graph)\n",
    "ccsgvs = nx.closeness_centrality(star_graph)\n",
    "print(\"Closeness Centrality:\", get_sg_ratio(ccvs, ccsgvs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Eigenvector Centrality: 0.24405613397730422\n"
     ]
    }
   ],
   "source": [
    "evcvs = nx.eigenvector_centrality_numpy(actor_graph)\n",
    "evcsgvs = nx.eigenvector_centrality_numpy(star_graph)\n",
    "print(\"Eigenvector Centrality:\", get_sg_ratio(evcvs, evcsgvs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([7.000e+01, 1.110e+02, 8.100e+01, 1.230e+02, 1.800e+01, 2.300e+02,\n",
       "        1.900e+01, 2.000e+00, 1.600e+01, 0.000e+00, 2.000e+00, 1.000e+00,\n",
       "        6.000e+00, 0.000e+00, 1.306e+03]),\n",
       " array([0.05574913, 0.11869919, 0.18164925, 0.2445993 , 0.30754936,\n",
       "        0.37049942, 0.43344948, 0.49639954, 0.55934959, 0.62229965,\n",
       "        0.68524971, 0.74819977, 0.81114983, 0.87409988, 0.93704994,\n",
       "        1.        ]),\n",
       " <a list of 15 Patch objects>)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeYAAAE/CAYAAACTomAoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAYLklEQVR4nO3df7RdZX3n8fcHEBXFRAFdmh9EG2QRrVOdiDodf3TqtEEMWG2RTK1VkTR2sD+0o2m11upYcVrtaIvFWJFKW5Da1iaCg+MoYisocazKj6IRIwlWASFR8Aei3/lj74wnt7n3nss9957nXt6vtbLWPXvvs/f3PGfnfs7z7Gefm6pCkiS14aBxFyBJkn7EYJYkqSEGsyRJDTGYJUlqiMEsSVJDDGZJkhpiMGteJDk7ye+OaF8rk9ye5OD+8aVJXjyKfU84zu1JHtH/fLfrT7IzydNHWx0keUmSr/d1HjFY7xTPmdh2H0zyy6OubaaSPC3J7pmum29Jrk7ytDna95OTXDcfx1LbDhl3AVr4kuwEHgLcBfwAuAZ4D7Clqn4IUFWbZrCvF1fVhyfbpqpuAO4/u6qnV1X3H/h5qPrnS5J7AW8BnlhVn+0XT9smE9uuqk4YUT0voHvf/uMo9jcXkhRwTFXtuLv7qKpHjbCkifv+OHDsfBxLbbPHrFFZX1WHA0cDZwKvBN416oMk8cNk5yHAfYCrx13IPYHnneaTwayRqqq9VbUVeC7wy0keDZDk3CT/vf/5yCQfSLInya1JPp7koCTnASuBbf1w6yuSrEpSSU5LcgPwkYFlg78sfyzJp5J8M8k/JHlQf6x/Mww6OLSc5OAkv5PkS0m+leTTSVb06yrJ6gPU/8C+/puT3Nb/vHyY9klyXJIvJ9kw8PjSvi2uTnLSwLb3TvJHSW7oh6zPTnLfJI8E9g157knykQPUe98kb07ylSR7k/xjv2y/tpt4GSDJi5Jc27+uS5IcPbCukmxK8sW+3rPSOQ44G3hS/77t6bc/Mcln+vdkV5LXDtNG/XN/Lck1B2rXJJsH3q9rkvzcwLrVST7Wv+Zbkry3X35Zv8ln+xqf2y9/ZpJ/7l/PJ5I8ZmBfO5O8MsnngDuSHDLh3NnT7+v2JHf07bNquvMjyYOSvDvJV/v17++X73euTjjWQQOv+xtJLtx3jmvxMZg1J6rqU8Bu4MkHWP3yft1RdD2/3+meUr8E3EDX+75/Vf2Pgec8FTgO+NlJDvl84EXAQ+mG1N82ZKkvAzYAzwAe0O/j29M85yDg3XSjAyuB7wB/Ot2BkjwOuAR4aVWdn244ehvwIeDBwEuBv0qybzjzTOCRwE8Aq4FlwGuq6gvAvmHOpVX1nw5wuD8C/j3wH4AHAa8AfjhNfSfTvRfPpntvPg6cP2GzZwKPBx4DnAL8bFVdC2wCLu/ft6X9tnfQvS9LgROBlyR51lQ19HW8BngB8NSqOtC15S/RnVdLgN8H/jLJQ/t1r6drzwcCy4E/Aaiqp/Tr/11f43uTPBY4B/gV4AjgHcDWJPceONaGvvalVXXXYBFVtbTf1/2Bt/btdSPTnx/nAYfRvYcPBv54ujahOzeeRff/4GHAbcBZQzxPC5DBrLn0VbpQmOj7dAF6dFV9v6o+XtN/aftrq+qOqvrOJOvPq6qrquoO4HeBU9JPcJrGi4FXV9V11flsVX1jqidU1Teq6m+r6ttV9S3gDXS/MKfyZGAr8Pyq+kC/7Il013vPrKo7q+ojwAeADUkCbAR+s6pu7Y/zB8Cp072gJAfRfcD49aq6sap+UFWfqKrvTfPUTcAbq+raPoT+APiJwV5zX+ue/lr1R+k+NBxQVV1aVZ+vqh9W1efoQn6qdkqStwA/A/xUVd08yX7/pqq+2u/3vcAXgeP71d+nC8SHVdV3q+ofpzjeRuAdVfXJvo3+Avge3fuyz9uqatcU5x197/u/AM/pz+dJz4/+A8QJwKaquq3f/mNT1LjPJuBVVbW7fx9fC/x8HGJflAxmzaVlwK0HWP6HwA7gQ0muT7J5iH3tmsH6rwD3Ao4cYr8r6HpgQ0tyWJJ39MPE3wQuA5ZO80FgE/CJqrp0YNnDgF37JsgN1L6Mrsd6GPDpfsh0D/C/+uXTOZLu+vOMXhddoL114Hi3Aunr2edrAz9/mykmnCV5QpKP9kO6e+naYKr3ZCldWL6xqvZOsd/nDww/7wEePbDfV/Q1fyrdpYEXTXG8o4GX79tPv68VdO/LPlOed32v+0+Bn9v3QWKa82MFcGtV3TbVfiep9e8H6ryWbqLlQ2a4Hy0ABrPmRJLH0/1C/zc9lqr6VlW9vKoeAZwEvCzJT+9bPckup+tRrxj4eSVdz+kWuuHUwwbqOpj9w20X8GPT7Huil9PNnn1CVT0A2DdMmimeswlYmWRw2PKrwIq+hztY+4197d8BHtUPmS6tqiWDM8WncAvwXWb+unYBvzJwvKVVdd+q+sQQzz3Q+/PXdKMEK6pqCd116Kna6Da6ofJ3J/nJA23Q997fCZwBHNEPm1+1b79V9bWqOr2qHkY3RP329NfdD2AX8IYJr/ewqhocvp/0vEvyYOD9wH+tqs8MrJrq/NgFPCjJUmZmF3DChFrvU1U3znA/WgAMZo1UkgckeSZwAfCXVfX5A2zzzH6SToC9dJ/89/Uavw5MeS/uJJ6XZE2Sw4DXAe+rqh8AXwDuk24i0r2AVwOD1xD/HHh9kmPSeUySI6Y51uF0obmnn4Dze0PU9y1gHfCUJGf2yz5J1+t8RZJ7pbtndT1wQd+Lfifwx30AkGRZksmusf9//XPPAd6S5GHpJrg9acK10wM5G/jtJI/qj7ckyS8M8dqge9+WJzl0YNnhdL3D7yY5nm64d7raLwV+Efi7/jkT3Y8uLPf1Tl9I12Omf/wLAxOtbuu3nezceiewqe/ZJ8n9+vPk8Onq7IeQ30d3jl84YfWk50dV/SvwQboPDA/s3/enML2zgTfsu6yQ5Kh+ToAWIYNZo7ItybfoPtm/iu4e2xdOsu0xwIeB24HLgbdX1Uf7dW8EXt0P2f3WDI5/HnAu3VDrfYBfg26WOPCrdAF8I10PenBC0VuAC+kmDH2T7hav+05zrP/Zb3MLcAXdEPO0qmoP8J+BE5K8vqrupAviE/p9vZ3uGvS/9E95Jd2Q/xX9kOiHGbjPdRq/BXweuJJuSPpNTPP/var+vt/ugv54V/W1DeMjdLdufS3JLf2yXwVe158Xr6Fr52lV1f+mu0a+rZ8wN7juGuDNdOfN14EfB/5pYJPHA59Mcjtdb/3Xq+r6ft1rgb/oz61Tqmo7cDrdUPRtdG39giFf73K6eQO/kR/NzL49yUqmPz9+iW5E51+Am4DfGOJ4b+1fz4f69rwCeMKQtWqByfRzbiQleQ+wo6peN+5aRindbUR/XlXvGXct2l+62wOfV1WXTbuxFhV7zNI0+mHLY4Evj7uWUeqH/R/BIntdi0GSo+jmQuwccykaA4NZmt7XgD3A3467kFHpr1t/DfgYB5igp/HpJ05+EfiT/rY03cM4lC1JUkPsMUuS1BCDWZKkhjTxdW5HHnlkrVq1atxlSJI0Lz796U/fUlUH/Ca/JoJ51apVbN++fdxlSJI0L5J8ZbJ1DmVLktQQg1mSpIYYzJIkNcRgliSpIQazJEkNMZglSWqIwSxJUkMMZkmSGmIwS5LUEINZkqSGNPGVnJIkzdSqzRfN27F2nnnivB3LHrMkSQ0xmCVJaojBLElSQwxmSZIaYjBLktSQkQdzkuOSnJ3kfUleMur9S5K0mA0VzEnOSXJTkqsmLF+X5LokO5JsBqiqa6tqE3AK8JOjL1mSpMVr2B7zucC6wQVJDgbOAk4A1gAbkqzp150EXARcPLJKJUm6BxgqmKvqMuDWCYuPB3ZU1fVVdSdwAXByv/3WqjoB+MVRFitJ0mI3m2/+WgbsGni8G3hCkqcBzwbuzRQ95iQbgY0AK1eunEUZkiQtHiP/Ss6quhS4dIjttgBbANauXVujrkOSpIVoNrOybwRWDDxe3i+TJEl302yC+UrgmCQPT3IocCqwdSY7SLI+yZa9e/fOogxJkhaPYW+XOh+4HDg2ye4kp1XVXcAZwCXAtcCFVXX1TA5eVduqauOSJUtmWrckSYvSUNeYq2rDJMsvxluiJEkaGb+SU5Kkhow1mL3GLEnS/sYazF5jliRpfw5lS5LUEINZkqSGGMySJDXEyV+SJDXEyV+SJDXEoWxJkhpiMEuS1BCDWZKkhjj5S5Kkhjj5S5KkhjiULUlSQwxmSZIaYjBLktQQg1mSpIY4K1uSpIY4K1uSpIY4lC1JUkMMZkmSGmIwS5LUEINZkqSGGMySJDXEYJYkqSHexyxJUkO8j1mSpIY4lC1JUkMMZkmSGmIwS5LUEINZkqSGGMySJDXEYJYkqSEGsyRJDTGYJUlqiN/8JUlSQ/zmL0mSGuJQtiRJDTGYJUlqiMEsSVJDDGZJkhpiMEuS1BCDWZKkhhjMkiQ15JBxFyDNt1WbL5q3Y+0888R5O5akxcEesyRJDTGYJUlqiMEsSVJDDGZJkhriX5eSJKkh/nUpSZIa4lC2JEkNMZglSWqIwSxJUkMMZkmSGmIwS5LUEINZkqSGGMySJDXEYJYkqSEGsyRJDTGYJUlqiMEsSVJDDGZJkhpiMEuS1BCDWZKkhhjMkiQ15JBxF6A2rdp80bweb+eZJ87r8SSpVfaYJUlqiMEsSVJD5mQoO8mzgBOBBwDvqqoPzcVxWjCfQ74O90rS4jd0jznJOUluSnLVhOXrklyXZEeSzQBV9f6qOh3YBDx3tCVLkrR4zWQo+1xg3eCCJAcDZwEnAGuADUnWDGzy6n69JEkawtDBXFWXAbdOWHw8sKOqrq+qO4ELgJPTeRPwwar6v6MrV5KkxW22k7+WAbsGHu/ul70UeDrw80k2HeiJSTYm2Z5k+8033zzLMiRJWhzmZPJXVb0NeNs022wBtgCsXbu25qIOSZIWmtn2mG8EVgw8Xt4vkyRJd8Nsg/lK4JgkD09yKHAqsHXYJydZn2TL3r17Z1mGJEmLw0xulzofuBw4NsnuJKdV1V3AGcAlwLXAhVV19bD7rKptVbVxyZIlM61bkqRFaehrzFW1YZLlFwMXj6wiSZLuwfxKTkmSGuJfl1pA5vsvPkmS5t9Ye8xO/pIkaX9jDWYnf0mStD+vMUuS1BCDWZKkhox18leS9cD61atXj3S/TpKSJC1UXmOWJKkhDmVLktQQg1mSpIYYzJIkNcQvGJEkqSFO/pIkqSEOZUuS1BCDWZKkhhjMkiQ1xGCWJKkhBrMkSQ3xdilJkhri7VKSJDXEoWxJkhpiMEuS1BCDWZKkhhjMkiQ1xGCWJKkh3i4lSVJDvF1KkqSGOJQtSVJDDGZJkhpiMEuS1BCDWZKkhhjMkiQ1xGCWJKkhBrMkSQ0xmCVJaojf/CVJUkP85i9JkhriULYkSQ0xmCVJaojBLElSQwxmSZIaYjBLktQQg1mSpIYYzJIkNcRgliSpIQazJEkNMZglSWqIwSxJUkMMZkmSGuJfl5IkqSH+dSlJkhpyyLgLkBazVZsvmrdj7TzzxHk7lqS54zVmSZIaYo9ZTZjPnqUktcwesyRJDTGYJUlqiMEsSVJDvMYsacacbS7NHXvMkiQ1xGCWJKkhBrMkSQ0xmCVJaojBLElSQwxmSZIaYjBLktQQg1mSpIYYzJIkNcRgliSpIQazJEkNGXkwJ3lEkncled+o9y1J0mI3VDAnOSfJTUmumrB8XZLrkuxIshmgqq6vqtPmolhJkha7YXvM5wLrBhckORg4CzgBWANsSLJmpNVJknQPM1QwV9VlwK0TFh8P7Oh7yHcCFwAnj7g+SZLuUWZzjXkZsGvg8W5gWZIjkpwNPDbJb0/25CQbk2xPsv3mm2+eRRmSJC0eh4x6h1X1DWDTENttAbYArF27tkZdhyRJC9Fsesw3AisGHi/vl0mSpLtpNsF8JXBMkocnORQ4Fdg6mrIkSbpnGvZ2qfOBy4Fjk+xOclpV3QWcAVwCXAtcWFVXz+TgSdYn2bJ3796Z1i1J0qI01DXmqtowyfKLgYvv7sGrahuwbe3ataff3X1IkrSY+JWckiQ1xGCWJKkhYw1mrzFLkrS/sQZzVW2rqo1LliwZZxmSJDXDoWxJkhpiMEuS1BCvMUuS1BCvMUuS1BCHsiVJaojBLElSQwxmSZIaYjBLktSQof6IxVxJsh5Yv3r16nGWIUmL2qrNF83bsXaeeeK8HWuxcla2JEkNcShbkqSGGMySJDXEYJYkqSEGsyRJDfG7siVJaoizsiVJaohD2ZIkNcRgliSpIQazJEkNMZglSWqIwSxJUkMMZkmSGuJ9zJIkNcT7mCVJaohD2ZIkNcRgliSpIQazJEkNMZglSWqIwSxJUkMMZkmSGmIwS5LUEINZkqSG+M1fkiQ1xG/+kiSpIQ5lS5LUEINZkqSGGMySJDXEYJYkqSEGsyRJDTGYJUlqiMEsSVJDDGZJkhpiMEuS1BCDWZKkhhjMkiQ1xGCWJKkhh4zz4EnWA+tXr149zjKkRWHV5ovGXcKCN59tuPPME+ftWFpY/OtSkiQ1xKFsSZIaYjBLktQQg1mSpIYYzJIkNcRgliSpIQazJEkNMZglSWqIwSxJUkMMZkmSGmIwS5LUEINZkqSGGMySJDXEYJYkqSEGsyRJDTGYJUlqiMEsSVJDDGZJkhpiMEuS1JBDRr3DJPcD3g7cCVxaVX816mNIkrRYDdVjTnJOkpuSXDVh+bok1yXZkWRzv/jZwPuq6nTgpBHXK0nSojbsUPa5wLrBBUkOBs4CTgDWABuSrAGWA7v6zX4wmjIlSbpnGGoou6ouS7JqwuLjgR1VdT1AkguAk4HddOH8z0wR/Ek2AhsBVq5cOdO6JWlBW7X5onGXoEbNZvLXMn7UM4YukJcBfwc8J8mfAdsme3JVbamqtVW19qijjppFGZIkLR4jn/xVVXcALxz1fiVJuieYTY/5RmDFwOPl/TJJknQ3zSaYrwSOSfLwJIcCpwJbZ7KDJOuTbNm7d+8sypAkafEY9nap84HLgWOT7E5yWlXdBZwBXAJcC1xYVVfP5OBVta2qNi5ZsmSmdUuStCgNOyt7wyTLLwYuHmlFkiTdg/mVnJIkNWSswew1ZkmS9jfWYPYasyRJ+3MoW5KkhhjMkiQ1xGCWJKkhqarxHTxZD6wHngt8cWyFLB5HAreMu4hFyHadG7br3LBd58ao2/XoqjrgH4oYazBrtJJsr6q1465jsbFd54btOjds17kxn+3qULYkSQ0xmCVJaojBvLhsGXcBi5TtOjds17lhu86NeWtXrzFLktQQe8ySJDXEYF6AkqxLcl2SHUk2H2D9y5Jck+RzSf5PkqPHUedCM127Dmz3nCSVxJmvQximXZOc0p+zVyf56/mucSEa4vfAyiQfTfKZ/nfBM8ZR50KS5JwkNyW5apL1SfK2vs0/l+Rxc1JIVflvAf0DDga+BDwCOBT4LLBmwjY/BRzW//wS4L3jrrv1f8O0a7/d4cBlwBXA2nHX3fq/Ic/XY4DPAA/sHz943HW3/m/Idt0CvKT/eQ2wc9x1t/4PeArwOOCqSdY/A/ggEOCJwCfnog57zAvP8cCOqrq+qu4ELgBOHtygqj5aVd/uH14BLJ/nGheiadu193rgTcB357O4BWyYdj0dOKuqbgOoqpvmucaFaJh2LeAB/c9LgK/OY30LUlVdBtw6xSYnA++pzhXA0iQPHXUdBvPCswzYNfB4d79sMqfRfcLT1KZt137YakVVXTSfhS1ww5yvjwQemeSfklyRZN28VbdwDdOurwWel2Q3cDHw0vkpbVGb6e/fu+WQUe9Q7UjyPGAt8NRx17LQJTkIeAvwgjGXshgdQjec/TS60Z3Lkvx4Ve0Za1UL3wbg3Kp6c5InAecleXRV/XDchWlq9pgXnhuBFQOPl/fL9pPk6cCrgJOq6nvzVNtCNl27Hg48Grg0yU6660tbnQA2rWHO193A1qr6flV9GfgCXVBrcsO062nAhQBVdTlwH7rve9bdN9Tv39kymBeeK4Fjkjw8yaHAqcDWwQ2SPBZ4B10oe71uOFO2a1Xtraojq2pVVa2iu3Z/UlVtH0+5C8a05yvwfrreMkmOpBvavn4+i1yAhmnXG4CfBkhyHF0w3zyvVS4+W4Hn97Oznwjsrap/HfVBHMpeYKrqriRnAJfQzcw8p6quTvI6YHtVbQX+ELg/8DdJAG6oqpPGVvQCMGS7aoaGbNdLgJ9Jcg3wA+C/VdU3xld1+4Zs15cD70zym3QTwV5Q/dRiHViS8+k+JB7ZX5v/PeBeAFV1Nt21+mcAO4BvAy+ckzp8nyRJaodD2ZIkNcRgliSpIQazJEkNMZglSWqIwSxJUkMMZkmSGmIwS5LUEINZkqSG/D+lt7dtVGxd/QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 10) Koliki je koeficijent klasterizacije mreže i njenih čvorova?\n",
    "plt.figure(figsize=(8,5)) \n",
    "plt.title(\"Distribucija koeficijenta klasterizacije\")\n",
    "plt.yscale('log')\n",
    "plt.hist(nx.clustering(actor_graph).values(), 15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 11) Kakva je distribucija čvorova po stepenu i da li prati neku zakonomernost?\n",
    "plt.figure(figsize=(8,5)) \n",
    "plt.title(\"Distribucija cvorova po stepenu\")\n",
    "plt.ylabel(\"Broj cvorova\")\n",
    "plt.yscale('log')\n",
    "plt.xlabel(\"Stepen\")\n",
    "vals = nx.degree_histogram(actor_graph)\n",
    "plt.bar(range(len(vals)), vals)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7.59337419312129"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 12) Da li mreža iskazuje osobine malog sveta?\n",
    "np.log(actor_graph.number_of_nodes())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "average distance:  3.7695238095238097\n",
      "eccentricity:  7\n"
     ]
    }
   ],
   "source": [
    "# 13) Kolika je prosečna udaljenost, a kolika maksimalna udaljenost nekog glumca od Kevina Bejkona (Kevin Bacon)?\n",
    "\n",
    "# infinite since there are disconnected components\n",
    "\n",
    "# in KB's connected component:\n",
    "sssplvs = nx.single_source_shortest_path_length(actor_graph, 'Kevin Bacon').values()\n",
    "print(\"average distance: \", sum(sssplvs) / len(sssplvs))\n",
    "\n",
    "for sg in nx.connected_component_subgraphs(actor_graph):\n",
    "    if 'Kevin Bacon' in sg:\n",
    "        print(\"eccentricity: \", nx.eccentricity(sg, 'Kevin Bacon'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 15) Koji filmski žanrovi su najpopularniji? U kojim kombinacijama se najčešće javljaju?\n",
    "genre_count = {}\n",
    "for genre in genres:\n",
    "    genre_count[genre] = 0\n",
    "\n",
    "for _, row in movie_data.iterrows():\n",
    "    for genre in row.Genre:\n",
    "        genre_count[genre] += 1        \n",
    "        genre1 = genre2int[genre]\n",
    "        for genre2 in [genre2int[x] for x in row.Genre]:\n",
    "            if genre1 != genre2: # avoid loops\n",
    "                genre_relation[genre1][genre2] += 1\n",
    "                \n",
    "genre_graph = nx.from_numpy_matrix(genre_relation)\n",
    "int2genre = dict(zip(itertools.count(), genres))\n",
    "nx.relabel_nodes(genre_graph, int2genre, copy=False)\n",
    "                \n",
    "genre_count = sorted(genre_count.items(), key=lambda x: x[1])[-5:]\n",
    "\n",
    "plt.title('Top 5 zanrova')\n",
    "plt.xlabel(\"Broj filmova\")\n",
    "plt.barh([val[0] for val in genre_count], [val[1] for val in genre_count])\n",
    "plt.show()\n",
    "\n",
    "genre_comb_count = {}\n",
    "for edge in genre_graph.edges(data=True):\n",
    "    genre_comb = edge[0] + ' ' + edge[1]\n",
    "    if genre_comb not in genre_comb_count:\n",
    "        genre_comb_count[genre_comb] = 0\n",
    "        \n",
    "    genre_comb_count[genre_comb] += edge[2]['weight']\n",
    "\n",
    "top_genre_combs = sorted(genre_comb_count.items(), key=lambda x: x[1])[-5:]\n",
    "\n",
    "plt.title('Top 5 kombinacija zanrova')\n",
    "plt.xlabel(\"Broj filmova\")\n",
    "plt.barh([val[0] for val in top_genre_combs], [val[1] for val in top_genre_combs])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ridley Scott          8\n",
       "David Yates           6\n",
       "Paul W.S. Anderson    6\n",
       "M. Night Shyamalan    6\n",
       "Michael Bay           6\n",
       "Justin Lin            5\n",
       "David Fincher         5\n",
       "Peter Berg            5\n",
       "Danny Boyle           5\n",
       "Christopher Nolan     5\n",
       "Name: Director, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 18) Koji režiser je režirao najveći broj filmova?\n",
    "movie_data.Director.value_counts()[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Director</th>\n",
       "      <th>Num. of movies</th>\n",
       "      <th>Most freq. casted actor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dennis Dugan</td>\n",
       "      <td>4</td>\n",
       "      <td>Adam Sandler (100.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Lars von Trier</td>\n",
       "      <td>4</td>\n",
       "      <td>Charlotte Gainsbourg (100.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ethan Coen</td>\n",
       "      <td>3</td>\n",
       "      <td>Josh Brolin (100.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Neill Blomkamp</td>\n",
       "      <td>3</td>\n",
       "      <td>Sharlto Copley (100.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Seth MacFarlane</td>\n",
       "      <td>3</td>\n",
       "      <td>Seth MacFarlane (100.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Ben Stiller</td>\n",
       "      <td>3</td>\n",
       "      <td>Ben Stiller (100.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Sylvester Stallone</td>\n",
       "      <td>3</td>\n",
       "      <td>Sylvester Stallone (100.0%)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Director Num. of movies        Most freq. casted actor\n",
       "0        Dennis Dugan              4          Adam Sandler (100.0%)\n",
       "1      Lars von Trier              4  Charlotte Gainsbourg (100.0%)\n",
       "2          Ethan Coen              3           Josh Brolin (100.0%)\n",
       "3      Neill Blomkamp              3        Sharlto Copley (100.0%)\n",
       "4     Seth MacFarlane              3       Seth MacFarlane (100.0%)\n",
       "5         Ben Stiller              3           Ben Stiller (100.0%)\n",
       "6  Sylvester Stallone              3    Sylvester Stallone (100.0%)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 19) Da li režiseri imaju omiljene glumce koje često angažuju u svojim filmovima?\n",
    "def mostFreqActors(movies):\n",
    "    actors = {}\n",
    "    \n",
    "    for index, movie in movies.iterrows():\n",
    "        for actor in movie.Actors:\n",
    "            if actor not in actors:\n",
    "                actors[actor] = 0\n",
    "            actors[actor] += 1\n",
    "            \n",
    "    actors = { k: round(v / float(movies.shape[0])*100, 2) for k, v in actors.items() }\n",
    "        \n",
    "    return sorted(actors.items(), key=lambda x: x[1], reverse=True)\n",
    "\n",
    "directorActors = []\n",
    "for director in movie_data.Director.value_counts().index:\n",
    "    movies = movie_data[movie_data['Director'] == director]\n",
    "    if movies.shape[0] < 3: continue\n",
    "    \n",
    "    most_freq_actors = list(filter(lambda x: x[1] >= 80, mostFreqActors(movies)))\n",
    "    if len(most_freq_actors) > 0:\n",
    "        actor = most_freq_actors[0][0] + ' (' + str(most_freq_actors[0][1]) + '%)'\n",
    "        directorActors.append((director, len(movies), actor))\n",
    "#         print director\n",
    "#         for item in most_freq_actors:\n",
    "#             print str(item[1])+'%', '\\t', item[0]\n",
    "#         print ''\n",
    "        \n",
    "pd.DataFrame(np.array(directorActors).reshape(len(directorActors),3), columns = ['Director', 'Num. of movies', 'Most freq. casted actor'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 20) Koje godine je filmska produkcija bila najveća?\n",
    "# print sorted(zip(years.keys(), [len(m) for m in years.values()]), reverse=True)\n",
    "plt.title(\"Broj filmova po godinama\")\n",
    "plt.xticks(range(2006,2017),rotation=45)\n",
    "plt.hist(movie_data.Year,30)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"Ukupna zarada filmova po godinama\")\n",
    "plt.xticks(range(2006,2017),rotation=45)\n",
    "plt.ylabel(\"Zarada (u milionima)\")\n",
    "plt.bar(range(2006,2017), movie_data.groupby(['Year'])['Revenue (Millions)'].sum(),0.4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([612., 152.,  57.,  33.,  11.,   3.,   2.,   0.,   1.,   1.]),\n",
       " array([  0.   ,  93.663, 187.326, 280.989, 374.652, 468.315, 561.978,\n",
       "        655.641, 749.304, 842.967, 936.63 ]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.yscale('log')\n",
    "plt.hist(movie_data['Revenue (Millions)'].dropna())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv-asm",
   "language": "python",
   "name": "venv-asm"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}