This is the next one- need api? .ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b4492562",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import scipy.stats as st\n",
    "import numpy as np\n",
    "from scipy.stats import linregress\n",
    "\n",
    "# load files\n",
    "file_to_load = \"resources/movie_budget.csv\"\n",
    "inflation = \"resources/inflation.csv\"\n",
    "oscars= 'resources/the_oscar_award(version 2).csv'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f5b0a3e3",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>year</th>\n",
       "      <th>trivia</th>\n",
       "      <th>mpaa</th>\n",
       "      <th>release_date</th>\n",
       "      <th>run_time</th>\n",
       "      <th>distributor</th>\n",
       "      <th>director</th>\n",
       "      <th>writer</th>\n",
       "      <th>...</th>\n",
       "      <th>main_actor_4</th>\n",
       "      <th>budget</th>\n",
       "      <th>domestic</th>\n",
       "      <th>international</th>\n",
       "      <th>worldwide</th>\n",
       "      <th>genre_1</th>\n",
       "      <th>genre_2</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>genre_4</th>\n",
       "      <th>html</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tt0099088</td>\n",
       "      <td>Back to the Future Part III</td>\n",
       "      <td>1990</td>\n",
       "      <td>Stranded in 1955, Marty McFly learns about the...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-May</td>\n",
       "      <td>1 hr 58 min</td>\n",
       "      <td>Universal Pictures</td>\n",
       "      <td>Robert Zemeckis</td>\n",
       "      <td>Robert Zemeckis</td>\n",
       "      <td>...</td>\n",
       "      <td>Thomas F. Wilson</td>\n",
       "      <td>40000000</td>\n",
       "      <td>88277583.0</td>\n",
       "      <td>157866667.0</td>\n",
       "      <td>246144250.0</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>Western</td>\n",
       "      <td>https://www.boxofficemojo.com/title/tt0099088/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt0099165</td>\n",
       "      <td>The Bonfire of the Vanities</td>\n",
       "      <td>1990</td>\n",
       "      <td>After his mistress runs over a young teen, a W...</td>\n",
       "      <td>R</td>\n",
       "      <td>22-Dec</td>\n",
       "      <td>2 hr 5 min</td>\n",
       "      <td>Warner Bros.</td>\n",
       "      <td>Brian De Palma</td>\n",
       "      <td>Michael Cristofer</td>\n",
       "      <td>...</td>\n",
       "      <td>Kim Cattrall</td>\n",
       "      <td>47000000</td>\n",
       "      <td>15691192.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15691192.0</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Romance</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.boxofficemojo.com/title/tt0099165/...</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt0099348</td>\n",
       "      <td>Dances with Wolves</td>\n",
       "      <td>1990</td>\n",
       "      <td>Lieutenant John Dunbar, assigned to a remote w...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9-Nov</td>\n",
       "      <td>3 hr 1 min</td>\n",
       "      <td>Orion Pictures</td>\n",
       "      <td>Kevin Costner</td>\n",
       "      <td>Michael Blake</td>\n",
       "      <td>...</td>\n",
       "      <td>Rodney A. Grant</td>\n",
       "      <td>22000000</td>\n",
       "      <td>184208848.0</td>\n",
       "      <td>240000000.0</td>\n",
       "      <td>424208848.0</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Western</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.boxofficemojo.com/title/tt0099348/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt0099422</td>\n",
       "      <td>Dick Tracy</td>\n",
       "      <td>1990</td>\n",
       "      <td>The comic strip detective finds his life vastl...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15-Jun</td>\n",
       "      <td>1 hr 45 min</td>\n",
       "      <td>Walt Disney Studios Motion Pictures</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Chester Gould</td>\n",
       "      <td>...</td>\n",
       "      <td>Charlie Korsmo</td>\n",
       "      <td>47000000</td>\n",
       "      <td>103738726.0</td>\n",
       "      <td>59000000.0</td>\n",
       "      <td>162738726.0</td>\n",
       "      <td>Action</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Music</td>\n",
       "      <td>https://www.boxofficemojo.com/title/tt0099422/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt0099423</td>\n",
       "      <td>Die Hard 2</td>\n",
       "      <td>1990</td>\n",
       "      <td>John McClane attempts to avert disaster as rog...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6-Jul</td>\n",
       "      <td>2 hr 4 min</td>\n",
       "      <td>Twentieth Century Fox</td>\n",
       "      <td>Renny Harlin</td>\n",
       "      <td>Walter Wager</td>\n",
       "      <td>...</td>\n",
       "      <td>Reginald VelJohnson</td>\n",
       "      <td>70000000</td>\n",
       "      <td>117540947.0</td>\n",
       "      <td>122706486.0</td>\n",
       "      <td>240247433.0</td>\n",
       "      <td>Action</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.boxofficemojo.com/title/tt0099423/...</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    movie_id                        title  year  \\\n",
       "0  tt0099088  Back to the Future Part III  1990   \n",
       "1  tt0099165  The Bonfire of the Vanities  1990   \n",
       "2  tt0099348           Dances with Wolves  1990   \n",
       "3  tt0099422                   Dick Tracy  1990   \n",
       "4  tt0099423                   Die Hard 2  1990   \n",
       "\n",
       "                                              trivia mpaa release_date  \\\n",
       "0  Stranded in 1955, Marty McFly learns about the...  NaN       25-May   \n",
       "1  After his mistress runs over a young teen, a W...    R       22-Dec   \n",
       "2  Lieutenant John Dunbar, assigned to a remote w...  NaN        9-Nov   \n",
       "3  The comic strip detective finds his life vastl...  NaN       15-Jun   \n",
       "4  John McClane attempts to avert disaster as rog...  NaN        6-Jul   \n",
       "\n",
       "      run_time                          distributor         director  \\\n",
       "0  1 hr 58 min                   Universal Pictures  Robert Zemeckis   \n",
       "1   2 hr 5 min                         Warner Bros.   Brian De Palma   \n",
       "2   3 hr 1 min                       Orion Pictures    Kevin Costner   \n",
       "3  1 hr 45 min  Walt Disney Studios Motion Pictures    Warren Beatty   \n",
       "4   2 hr 4 min                Twentieth Century Fox     Renny Harlin   \n",
       "\n",
       "              writer  ...         main_actor_4    budget     domestic  \\\n",
       "0    Robert Zemeckis  ...     Thomas F. Wilson  40000000   88277583.0   \n",
       "1  Michael Cristofer  ...         Kim Cattrall  47000000   15691192.0   \n",
       "2      Michael Blake  ...      Rodney A. Grant  22000000  184208848.0   \n",
       "3      Chester Gould  ...       Charlie Korsmo  47000000  103738726.0   \n",
       "4       Walter Wager  ...  Reginald VelJohnson  70000000  117540947.0   \n",
       "\n",
       "  international    worldwide    genre_1   genre_2  genre_3  genre_4  \\\n",
       "0   157866667.0  246144250.0  Adventure    Comedy   Sci-Fi  Western   \n",
       "1           NaN   15691192.0     Comedy     Drama  Romance      NaN   \n",
       "2   240000000.0  424208848.0  Adventure     Drama  Western      NaN   \n",
       "3    59000000.0  162738726.0     Action    Comedy    Crime    Music   \n",
       "4   122706486.0  240247433.0     Action  Thriller      NaN      NaN   \n",
       "\n",
       "                                                html  \n",
       "0  https://www.boxofficemojo.com/title/tt0099088/...  \n",
       "1  https://www.boxofficemojo.com/title/tt0099165/...  \n",
       "2  https://www.boxofficemojo.com/title/tt0099348/...  \n",
       "3  https://www.boxofficemojo.com/title/tt0099422/...  \n",
       "4  https://www.boxofficemojo.com/title/tt0099423/...  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read main movie file and store into Pandas data frame\n",
    "raw_data = pd.read_csv(file_to_load)\n",
    "raw_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "55984804",
   "metadata": {},
   "outputs": [
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       "      <td>The Bonfire of the Vanities</td>\n",
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       "      <td>Vilmos Zsigmond</td>\n",
       "      <td>Tom Hanks</td>\n",
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       "      <td>15691192.0</td>\n",
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       "      <td>Dances with Wolves</td>\n",
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       "      <td>9-Nov</td>\n",
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       "      <td>Kevin Costner</td>\n",
       "      <td>Michael Blake</td>\n",
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       "      <td>Dean Semler</td>\n",
       "      <td>Kevin Costner</td>\n",
       "      <td>Mary McDonnell</td>\n",
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       "      <td>Rodney A. Grant</td>\n",
       "      <td>22000000</td>\n",
       "      <td>184208848.0</td>\n",
       "      <td>240000000.0</td>\n",
       "      <td>424208848.0</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Western</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Dick Tracy</td>\n",
       "      <td>1990</td>\n",
       "      <td>15-Jun</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Chester Gould</td>\n",
       "      <td>Danny Elfman</td>\n",
       "      <td>Vittorio Storaro</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Madonna</td>\n",
       "      <td>Al Pacino</td>\n",
       "      <td>Charlie Korsmo</td>\n",
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       "      <td>103738726.0</td>\n",
       "      <td>59000000.0</td>\n",
       "      <td>162738726.0</td>\n",
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       "      <td>Comedy</td>\n",
       "      <td>Crime</td>\n",
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       "      <th>4</th>\n",
       "      <td>Die Hard 2</td>\n",
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       "      <td>6-Jul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Renny Harlin</td>\n",
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       "      <td>240247433.0</td>\n",
       "      <td>Action</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>2019</td>\n",
       "      <td>3-Jul</td>\n",
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       "      <td>Ari Aster</td>\n",
       "      <td>The Haxan Cloak</td>\n",
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       "      <td>Florence Pugh</td>\n",
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       "      <td>Knives Out</td>\n",
       "      <td>2019</td>\n",
       "      <td>21-Nov</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>Rian Johnson</td>\n",
       "      <td>Rian Johnson</td>\n",
       "      <td>Nathan Johnson</td>\n",
       "      <td>Steve Yedlin</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Chris Evans</td>\n",
       "      <td>Ana de Armas</td>\n",
       "      <td>Jamie Lee Curtis</td>\n",
       "      <td>40000000</td>\n",
       "      <td>165363234.0</td>\n",
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       "      <td>Unplanned</td>\n",
       "      <td>2019</td>\n",
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       "      <td>Chuck Konzelman</td>\n",
       "      <td>Abby Johnson</td>\n",
       "      <td>Stephen Blake Kanicka</td>\n",
       "      <td>Drew Maw</td>\n",
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       "    <tr>\n",
       "      <th>3241</th>\n",
       "      <td>Playing with Fire</td>\n",
       "      <td>2019</td>\n",
       "      <td>7-Nov</td>\n",
       "      <td>PG</td>\n",
       "      <td>Andy Fickman</td>\n",
       "      <td>Dan Ewen</td>\n",
       "      <td>Nathan Wang</td>\n",
       "      <td>Dean Semler</td>\n",
       "      <td>John Cena</td>\n",
       "      <td>Keegan-Michael Key</td>\n",
       "      <td>John Leguizamo</td>\n",
       "      <td>Tyler Mane</td>\n",
       "      <td>29900000</td>\n",
       "      <td>44451847.0</td>\n",
       "      <td>24179822.0</td>\n",
       "      <td>68631669.0</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Family</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3242</th>\n",
       "      <td>Brahms: The Boy II</td>\n",
       "      <td>2020</td>\n",
       "      <td>20-Feb</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>William Brent Bell</td>\n",
       "      <td>Stacey Menear</td>\n",
       "      <td>Brett Detar</td>\n",
       "      <td>Karl Walter Lindenlaub</td>\n",
       "      <td>Katie Holmes</td>\n",
       "      <td>Owain Yeoman</td>\n",
       "      <td>Christopher Convery</td>\n",
       "      <td>Ralph Ineson</td>\n",
       "      <td>10000000</td>\n",
       "      <td>12611536.0</td>\n",
       "      <td>7700000.0</td>\n",
       "      <td>20311536.0</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Horror</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>Thriller</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3243 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            title  year release_date   mpaa  \\\n",
       "0     Back to the Future Part III  1990       25-May    NaN   \n",
       "1     The Bonfire of the Vanities  1990       22-Dec      R   \n",
       "2              Dances with Wolves  1990        9-Nov    NaN   \n",
       "3                      Dick Tracy  1990       15-Jun    NaN   \n",
       "4                      Die Hard 2  1990        6-Jul    NaN   \n",
       "...                           ...   ...          ...    ...   \n",
       "3238                    Midsommar  2019        3-Jul      R   \n",
       "3239                   Knives Out  2019       21-Nov  PG-13   \n",
       "3240                    Unplanned  2019       29-Mar      R   \n",
       "3241            Playing with Fire  2019        7-Nov     PG   \n",
       "3242           Brahms: The Boy II  2020       20-Feb  PG-13   \n",
       "\n",
       "                director             writer               composer  \\\n",
       "0        Robert Zemeckis    Robert Zemeckis         Alan Silvestri   \n",
       "1         Brian De Palma  Michael Cristofer            Dave Grusin   \n",
       "2          Kevin Costner      Michael Blake             John Barry   \n",
       "3          Warren Beatty      Chester Gould           Danny Elfman   \n",
       "4           Renny Harlin       Walter Wager          Michael Kamen   \n",
       "...                  ...                ...                    ...   \n",
       "3238           Ari Aster          Ari Aster        The Haxan Cloak   \n",
       "3239        Rian Johnson       Rian Johnson         Nathan Johnson   \n",
       "3240     Chuck Konzelman       Abby Johnson  Stephen Blake Kanicka   \n",
       "3241        Andy Fickman           Dan Ewen            Nathan Wang   \n",
       "3242  William Brent Bell      Stacey Menear            Brett Detar   \n",
       "\n",
       "             cinematographer     main_actor_1        main_actor_2  \\\n",
       "0                Dean Cundey   Michael J. Fox   Christopher Lloyd   \n",
       "1            Vilmos Zsigmond        Tom Hanks        Bruce Willis   \n",
       "2                Dean Semler    Kevin Costner      Mary McDonnell   \n",
       "3           Vittorio Storaro    Warren Beatty             Madonna   \n",
       "4                Oliver Wood     Bruce Willis    William Atherton   \n",
       "...                      ...              ...                 ...   \n",
       "3238       Pawel Pogorzelski    Florence Pugh         Jack Reynor   \n",
       "3239            Steve Yedlin     Daniel Craig         Chris Evans   \n",
       "3240                Drew Maw  Ashley Bratcher         Brooks Ryan   \n",
       "3241             Dean Semler        John Cena  Keegan-Michael Key   \n",
       "3242  Karl Walter Lindenlaub     Katie Holmes        Owain Yeoman   \n",
       "\n",
       "             main_actor_3            main_actor_4    budget     domestic  \\\n",
       "0        Mary Steenburgen        Thomas F. Wilson  40000000   88277583.0   \n",
       "1        Melanie Griffith            Kim Cattrall  47000000   15691192.0   \n",
       "2           Graham Greene         Rodney A. Grant  22000000  184208848.0   \n",
       "3               Al Pacino          Charlie Korsmo  47000000  103738726.0   \n",
       "4          Bonnie Bedelia     Reginald VelJohnson  70000000  117540947.0   \n",
       "...                   ...                     ...       ...          ...   \n",
       "3238     Vilhelm Blomgren  William Jackson Harper   9000000   27426361.0   \n",
       "3239         Ana de Armas        Jamie Lee Curtis  40000000  165363234.0   \n",
       "3240          Robia Scott              Jared Lotz   6000000   19005109.0   \n",
       "3241       John Leguizamo              Tyler Mane  29900000   44451847.0   \n",
       "3242  Christopher Convery            Ralph Ineson  10000000   12611536.0   \n",
       "\n",
       "      international    worldwide    genre_1   genre_2  genre_3   genre_4  \n",
       "0       157866667.0  246144250.0  Adventure    Comedy   Sci-Fi   Western  \n",
       "1               NaN   15691192.0     Comedy     Drama  Romance       NaN  \n",
       "2       240000000.0  424208848.0  Adventure     Drama  Western       NaN  \n",
       "3        59000000.0  162738726.0     Action    Comedy    Crime     Music  \n",
       "4       122706486.0  240247433.0     Action  Thriller      NaN       NaN  \n",
       "...             ...          ...        ...       ...      ...       ...  \n",
       "3238     19463936.0   46890297.0      Drama    Horror  Mystery  Thriller  \n",
       "3239    143869563.0  309232797.0     Comedy     Crime    Drama   Mystery  \n",
       "3240      2046806.0   21051915.0  Biography     Drama      NaN       NaN  \n",
       "3241     24179822.0   68631669.0     Comedy    Family      NaN       NaN  \n",
       "3242      7700000.0   20311536.0      Drama    Horror  Mystery  Thriller  \n",
       "\n",
       "[3243 rows x 20 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#extract the info we want from movie file\n",
    "clean_data = raw_data[['title', 'year', 'release_date', 'mpaa', 'director', 'writer', 'composer', 'cinematographer', 'main_actor_1', 'main_actor_2', 'main_actor_3', 'main_actor_4', 'budget','domestic', 'international', 'worldwide', 'genre_1', 'genre_2', 'genre_3', 'genre_4']]\n",
    "clean_data                    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d5c760b0",
   "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>title</th>\n",
       "      <th>year</th>\n",
       "      <th>release_date</th>\n",
       "      <th>mpaa</th>\n",
       "      <th>director</th>\n",
       "      <th>writer</th>\n",
       "      <th>composer</th>\n",
       "      <th>cinematographer</th>\n",
       "      <th>main_actor_1</th>\n",
       "      <th>main_actor_2</th>\n",
       "      <th>main_actor_3</th>\n",
       "      <th>main_actor_4</th>\n",
       "      <th>budget</th>\n",
       "      <th>domestic</th>\n",
       "      <th>international</th>\n",
       "      <th>worldwide</th>\n",
       "      <th>genre_1</th>\n",
       "      <th>genre_2</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>genre_4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Back to the Future Part III</td>\n",
       "      <td>1990</td>\n",
       "      <td>25-May</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Robert Zemeckis</td>\n",
       "      <td>Robert Zemeckis</td>\n",
       "      <td>Alan Silvestri</td>\n",
       "      <td>Dean Cundey</td>\n",
       "      <td>Michael J. Fox</td>\n",
       "      <td>Christopher Lloyd</td>\n",
       "      <td>Mary Steenburgen</td>\n",
       "      <td>Thomas F. Wilson</td>\n",
       "      <td>40000000</td>\n",
       "      <td>88277583.0</td>\n",
       "      <td>157866667.0</td>\n",
       "      <td>246144250.0</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>Western</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The Bonfire of the Vanities</td>\n",
       "      <td>1990</td>\n",
       "      <td>22-Dec</td>\n",
       "      <td>R</td>\n",
       "      <td>Brian De Palma</td>\n",
       "      <td>Michael Cristofer</td>\n",
       "      <td>Dave Grusin</td>\n",
       "      <td>Vilmos Zsigmond</td>\n",
       "      <td>Tom Hanks</td>\n",
       "      <td>Bruce Willis</td>\n",
       "      <td>Melanie Griffith</td>\n",
       "      <td>Kim Cattrall</td>\n",
       "      <td>47000000</td>\n",
       "      <td>15691192.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15691192.0</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Romance</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Dances with Wolves</td>\n",
       "      <td>1990</td>\n",
       "      <td>9-Nov</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kevin Costner</td>\n",
       "      <td>Michael Blake</td>\n",
       "      <td>John Barry</td>\n",
       "      <td>Dean Semler</td>\n",
       "      <td>Kevin Costner</td>\n",
       "      <td>Mary McDonnell</td>\n",
       "      <td>Graham Greene</td>\n",
       "      <td>Rodney A. Grant</td>\n",
       "      <td>22000000</td>\n",
       "      <td>184208848.0</td>\n",
       "      <td>240000000.0</td>\n",
       "      <td>424208848.0</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Western</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Dick Tracy</td>\n",
       "      <td>1990</td>\n",
       "      <td>15-Jun</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Chester Gould</td>\n",
       "      <td>Danny Elfman</td>\n",
       "      <td>Vittorio Storaro</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Madonna</td>\n",
       "      <td>Al Pacino</td>\n",
       "      <td>Charlie Korsmo</td>\n",
       "      <td>47000000</td>\n",
       "      <td>103738726.0</td>\n",
       "      <td>59000000.0</td>\n",
       "      <td>162738726.0</td>\n",
       "      <td>Action</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Music</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Die Hard 2</td>\n",
       "      <td>1990</td>\n",
       "      <td>6-Jul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Renny Harlin</td>\n",
       "      <td>Walter Wager</td>\n",
       "      <td>Michael Kamen</td>\n",
       "      <td>Oliver Wood</td>\n",
       "      <td>Bruce Willis</td>\n",
       "      <td>William Atherton</td>\n",
       "      <td>Bonnie Bedelia</td>\n",
       "      <td>Reginald VelJohnson</td>\n",
       "      <td>70000000</td>\n",
       "      <td>117540947.0</td>\n",
       "      <td>122706486.0</td>\n",
       "      <td>240247433.0</td>\n",
       "      <td>Action</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3238</th>\n",
       "      <td>Midsommar</td>\n",
       "      <td>2019</td>\n",
       "      <td>3-Jul</td>\n",
       "      <td>R</td>\n",
       "      <td>Ari Aster</td>\n",
       "      <td>Ari Aster</td>\n",
       "      <td>The Haxan Cloak</td>\n",
       "      <td>Pawel Pogorzelski</td>\n",
       "      <td>Florence Pugh</td>\n",
       "      <td>Jack Reynor</td>\n",
       "      <td>Vilhelm Blomgren</td>\n",
       "      <td>William Jackson Harper</td>\n",
       "      <td>9000000</td>\n",
       "      <td>27426361.0</td>\n",
       "      <td>19463936.0</td>\n",
       "      <td>46890297.0</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Horror</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3239</th>\n",
       "      <td>Knives Out</td>\n",
       "      <td>2019</td>\n",
       "      <td>21-Nov</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>Rian Johnson</td>\n",
       "      <td>Rian Johnson</td>\n",
       "      <td>Nathan Johnson</td>\n",
       "      <td>Steve Yedlin</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Chris Evans</td>\n",
       "      <td>Ana de Armas</td>\n",
       "      <td>Jamie Lee Curtis</td>\n",
       "      <td>40000000</td>\n",
       "      <td>165363234.0</td>\n",
       "      <td>143869563.0</td>\n",
       "      <td>309232797.0</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Mystery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3240</th>\n",
       "      <td>Unplanned</td>\n",
       "      <td>2019</td>\n",
       "      <td>29-Mar</td>\n",
       "      <td>R</td>\n",
       "      <td>Chuck Konzelman</td>\n",
       "      <td>Abby Johnson</td>\n",
       "      <td>Stephen Blake Kanicka</td>\n",
       "      <td>Drew Maw</td>\n",
       "      <td>Ashley Bratcher</td>\n",
       "      <td>Brooks Ryan</td>\n",
       "      <td>Robia Scott</td>\n",
       "      <td>Jared Lotz</td>\n",
       "      <td>6000000</td>\n",
       "      <td>19005109.0</td>\n",
       "      <td>2046806.0</td>\n",
       "      <td>21051915.0</td>\n",
       "      <td>Biography</td>\n",
       "      <td>Drama</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3241</th>\n",
       "      <td>Playing with Fire</td>\n",
       "      <td>2019</td>\n",
       "      <td>7-Nov</td>\n",
       "      <td>PG</td>\n",
       "      <td>Andy Fickman</td>\n",
       "      <td>Dan Ewen</td>\n",
       "      <td>Nathan Wang</td>\n",
       "      <td>Dean Semler</td>\n",
       "      <td>John Cena</td>\n",
       "      <td>Keegan-Michael Key</td>\n",
       "      <td>John Leguizamo</td>\n",
       "      <td>Tyler Mane</td>\n",
       "      <td>29900000</td>\n",
       "      <td>44451847.0</td>\n",
       "      <td>24179822.0</td>\n",
       "      <td>68631669.0</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Family</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3242</th>\n",
       "      <td>Brahms: The Boy II</td>\n",
       "      <td>2020</td>\n",
       "      <td>20-Feb</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>William Brent Bell</td>\n",
       "      <td>Stacey Menear</td>\n",
       "      <td>Brett Detar</td>\n",
       "      <td>Karl Walter Lindenlaub</td>\n",
       "      <td>Katie Holmes</td>\n",
       "      <td>Owain Yeoman</td>\n",
       "      <td>Christopher Convery</td>\n",
       "      <td>Ralph Ineson</td>\n",
       "      <td>10000000</td>\n",
       "      <td>12611536.0</td>\n",
       "      <td>7700000.0</td>\n",
       "      <td>20311536.0</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Horror</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>Thriller</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3236 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            title  year release_date   mpaa  \\\n",
       "0     Back to the Future Part III  1990       25-May    NaN   \n",
       "1     The Bonfire of the Vanities  1990       22-Dec      R   \n",
       "2              Dances with Wolves  1990        9-Nov    NaN   \n",
       "3                      Dick Tracy  1990       15-Jun    NaN   \n",
       "4                      Die Hard 2  1990        6-Jul    NaN   \n",
       "...                           ...   ...          ...    ...   \n",
       "3238                    Midsommar  2019        3-Jul      R   \n",
       "3239                   Knives Out  2019       21-Nov  PG-13   \n",
       "3240                    Unplanned  2019       29-Mar      R   \n",
       "3241            Playing with Fire  2019        7-Nov     PG   \n",
       "3242           Brahms: The Boy II  2020       20-Feb  PG-13   \n",
       "\n",
       "                director             writer               composer  \\\n",
       "0        Robert Zemeckis    Robert Zemeckis         Alan Silvestri   \n",
       "1         Brian De Palma  Michael Cristofer            Dave Grusin   \n",
       "2          Kevin Costner      Michael Blake             John Barry   \n",
       "3          Warren Beatty      Chester Gould           Danny Elfman   \n",
       "4           Renny Harlin       Walter Wager          Michael Kamen   \n",
       "...                  ...                ...                    ...   \n",
       "3238           Ari Aster          Ari Aster        The Haxan Cloak   \n",
       "3239        Rian Johnson       Rian Johnson         Nathan Johnson   \n",
       "3240     Chuck Konzelman       Abby Johnson  Stephen Blake Kanicka   \n",
       "3241        Andy Fickman           Dan Ewen            Nathan Wang   \n",
       "3242  William Brent Bell      Stacey Menear            Brett Detar   \n",
       "\n",
       "             cinematographer     main_actor_1        main_actor_2  \\\n",
       "0                Dean Cundey   Michael J. Fox   Christopher Lloyd   \n",
       "1            Vilmos Zsigmond        Tom Hanks        Bruce Willis   \n",
       "2                Dean Semler    Kevin Costner      Mary McDonnell   \n",
       "3           Vittorio Storaro    Warren Beatty             Madonna   \n",
       "4                Oliver Wood     Bruce Willis    William Atherton   \n",
       "...                      ...              ...                 ...   \n",
       "3238       Pawel Pogorzelski    Florence Pugh         Jack Reynor   \n",
       "3239            Steve Yedlin     Daniel Craig         Chris Evans   \n",
       "3240                Drew Maw  Ashley Bratcher         Brooks Ryan   \n",
       "3241             Dean Semler        John Cena  Keegan-Michael Key   \n",
       "3242  Karl Walter Lindenlaub     Katie Holmes        Owain Yeoman   \n",
       "\n",
       "             main_actor_3            main_actor_4    budget     domestic  \\\n",
       "0        Mary Steenburgen        Thomas F. Wilson  40000000   88277583.0   \n",
       "1        Melanie Griffith            Kim Cattrall  47000000   15691192.0   \n",
       "2           Graham Greene         Rodney A. Grant  22000000  184208848.0   \n",
       "3               Al Pacino          Charlie Korsmo  47000000  103738726.0   \n",
       "4          Bonnie Bedelia     Reginald VelJohnson  70000000  117540947.0   \n",
       "...                   ...                     ...       ...          ...   \n",
       "3238     Vilhelm Blomgren  William Jackson Harper   9000000   27426361.0   \n",
       "3239         Ana de Armas        Jamie Lee Curtis  40000000  165363234.0   \n",
       "3240          Robia Scott              Jared Lotz   6000000   19005109.0   \n",
       "3241       John Leguizamo              Tyler Mane  29900000   44451847.0   \n",
       "3242  Christopher Convery            Ralph Ineson  10000000   12611536.0   \n",
       "\n",
       "      international    worldwide    genre_1   genre_2  genre_3   genre_4  \n",
       "0       157866667.0  246144250.0  Adventure    Comedy   Sci-Fi   Western  \n",
       "1               NaN   15691192.0     Comedy     Drama  Romance       NaN  \n",
       "2       240000000.0  424208848.0  Adventure     Drama  Western       NaN  \n",
       "3        59000000.0  162738726.0     Action    Comedy    Crime     Music  \n",
       "4       122706486.0  240247433.0     Action  Thriller      NaN       NaN  \n",
       "...             ...          ...        ...       ...      ...       ...  \n",
       "3238     19463936.0   46890297.0      Drama    Horror  Mystery  Thriller  \n",
       "3239    143869563.0  309232797.0     Comedy     Crime    Drama   Mystery  \n",
       "3240      2046806.0   21051915.0  Biography     Drama      NaN       NaN  \n",
       "3241     24179822.0   68631669.0     Comedy    Family      NaN       NaN  \n",
       "3242      7700000.0   20311536.0      Drama    Horror  Mystery  Thriller  \n",
       "\n",
       "[3236 rows x 20 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#remove movies with no worldwide revenue \n",
    "movie_data = clean_data.dropna(subset=['worldwide'])\n",
    "movie_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "177782ae",
   "metadata": {},
   "source": [
    "# Adjust for Inflation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5f716d3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>Multiplier</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1990</td>\n",
       "      <td>1.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1991</td>\n",
       "      <td>1.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1992</td>\n",
       "      <td>1.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1993</td>\n",
       "      <td>1.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1994</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1995</td>\n",
       "      <td>1.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1996</td>\n",
       "      <td>1.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1997</td>\n",
       "      <td>1.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1998</td>\n",
       "      <td>1.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1999</td>\n",
       "      <td>1.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2000</td>\n",
       "      <td>1.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2001</td>\n",
       "      <td>1.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2002</td>\n",
       "      <td>1.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2003</td>\n",
       "      <td>1.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2004</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2005</td>\n",
       "      <td>1.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2006</td>\n",
       "      <td>1.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2007</td>\n",
       "      <td>1.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2008</td>\n",
       "      <td>1.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2009</td>\n",
       "      <td>1.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2010</td>\n",
       "      <td>1.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2011</td>\n",
       "      <td>1.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2012</td>\n",
       "      <td>1.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2013</td>\n",
       "      <td>1.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2014</td>\n",
       "      <td>1.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2015</td>\n",
       "      <td>1.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2016</td>\n",
       "      <td>1.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2017</td>\n",
       "      <td>1.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2018</td>\n",
       "      <td>1.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2019</td>\n",
       "      <td>1.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    year  Multiplier\n",
       "0   1990        1.98\n",
       "1   1991        1.90\n",
       "2   1992        1.84\n",
       "3   1993        1.79\n",
       "4   1994        1.75\n",
       "5   1995        1.70\n",
       "6   1996        1.65\n",
       "7   1997        1.61\n",
       "8   1998        1.59\n",
       "9   1999        1.55\n",
       "10  2000        1.50\n",
       "11  2001        1.46\n",
       "12  2002        1.44\n",
       "13  2003        1.41\n",
       "14  2004        1.37\n",
       "15  2005        1.33\n",
       "16  2006        1.28\n",
       "17  2007        1.25\n",
       "18  2008        1.20\n",
       "19  2009        1.21\n",
       "20  2010        1.19\n",
       "21  2011        1.15\n",
       "22  2012        1.13\n",
       "23  2013        1.11\n",
       "24  2014        1.09\n",
       "25  2015        1.09\n",
       "26  2016        1.08\n",
       "27  2017        1.06\n",
       "28  2018        1.03\n",
       "29  2019        1.01"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#load in our inflation adjustment values to show everything in 2022 dollars\n",
    "inflation_mult = pd.read_csv(inflation)\n",
    "inflation_mult\n",
    "\n",
    "inflation_mult[\"Multiplier\"]=inflation_mult[\"Multiplier\"] +1\n",
    "inflation_mult"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f62432ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>Multiplier</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1990</td>\n",
       "      <td>1.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1991</td>\n",
       "      <td>1.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1992</td>\n",
       "      <td>1.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1993</td>\n",
       "      <td>1.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1994</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1995</td>\n",
       "      <td>1.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1996</td>\n",
       "      <td>1.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1997</td>\n",
       "      <td>1.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1998</td>\n",
       "      <td>1.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1999</td>\n",
       "      <td>1.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2000</td>\n",
       "      <td>1.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2001</td>\n",
       "      <td>1.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2002</td>\n",
       "      <td>1.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2003</td>\n",
       "      <td>1.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2004</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2005</td>\n",
       "      <td>1.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2006</td>\n",
       "      <td>1.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2007</td>\n",
       "      <td>1.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2008</td>\n",
       "      <td>1.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2009</td>\n",
       "      <td>1.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2010</td>\n",
       "      <td>1.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2011</td>\n",
       "      <td>1.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2012</td>\n",
       "      <td>1.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2013</td>\n",
       "      <td>1.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2014</td>\n",
       "      <td>1.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2015</td>\n",
       "      <td>1.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2016</td>\n",
       "      <td>1.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2017</td>\n",
       "      <td>1.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2018</td>\n",
       "      <td>1.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2019</td>\n",
       "      <td>1.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    year  Multiplier\n",
       "0   1990        1.98\n",
       "1   1991        1.90\n",
       "2   1992        1.84\n",
       "3   1993        1.79\n",
       "4   1994        1.75\n",
       "5   1995        1.70\n",
       "6   1996        1.65\n",
       "7   1997        1.61\n",
       "8   1998        1.59\n",
       "9   1999        1.55\n",
       "10  2000        1.50\n",
       "11  2001        1.46\n",
       "12  2002        1.44\n",
       "13  2003        1.41\n",
       "14  2004        1.37\n",
       "15  2005        1.33\n",
       "16  2006        1.28\n",
       "17  2007        1.25\n",
       "18  2008        1.20\n",
       "19  2009        1.21\n",
       "20  2010        1.19\n",
       "21  2011        1.15\n",
       "22  2012        1.13\n",
       "23  2013        1.11\n",
       "24  2014        1.09\n",
       "25  2015        1.09\n",
       "26  2016        1.08\n",
       "27  2017        1.06\n",
       "28  2018        1.03\n",
       "29  2019        1.01"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "inflation_clean = inflation_mult[[\"year\", \"Multiplier\"]]\n",
    "inflation_clean\n",
    "\n",
    "inflation_cleaner = inflation_clean.dropna()\n",
    "inflation_cleaner\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f8c5b067",
   "metadata": {},
   "outputs": [],
   "source": [
    "#empty lists\n",
    "titles = []\n",
    "\n",
    "budgets = []\n",
    "adjusted_budgets = []\n",
    "\n",
    "domestics = []\n",
    "adjusted_domestics = []\n",
    "\n",
    "internationals = []\n",
    "adjusted_internationals = []\n",
    "\n",
    "worldwides = []\n",
    "adjusted_worldwides = []\n",
    "\n",
    "#budget\n",
    "i = 0\n",
    "\n",
    "for year in inflation_cleaner[\"year\"]:\n",
    "    year_movie = movie_data.loc[movie_data[\"year\"] == year,:]\n",
    "    for budget in year_movie['budget']:\n",
    "        adjusted_budget=budget*inflation_cleaner.iloc[i,1]\n",
    "        budgets.append(budget)\n",
    "        adjusted_budgets.append(adjusted_budget)\n",
    "    i+=1\n",
    "#domestic\n",
    "i = 0\n",
    "\n",
    "for year in inflation_cleaner[\"year\"]:\n",
    "    year_movie = movie_data.loc[movie_data[\"year\"] == year,:]\n",
    "    for domestic in year_movie['domestic']:\n",
    "        adjusted_domestic=domestic*inflation_cleaner.iloc[i,1]\n",
    "        domestics.append(domestic)\n",
    "        adjusted_domestics.append(adjusted_domestic)\n",
    "    i+=1\n",
    "#international\n",
    "i=0\n",
    "\n",
    "for year in inflation_cleaner[\"year\"]:\n",
    "    year_movie = movie_data.loc[movie_data[\"year\"] == year,:]\n",
    "    for international in year_movie['international']:\n",
    "        adjusted_international=international*inflation_cleaner.iloc[i,1]\n",
    "        internationals.append(international)\n",
    "        adjusted_internationals.append(adjusted_international)\n",
    "    i+=1\n",
    "\n",
    "#worldwide\n",
    "i=0 \n",
    "for year in inflation_cleaner[\"year\"]:\n",
    "    year_movie = movie_data.loc[movie_data[\"year\"] == year,:]\n",
    "    for worldwide in year_movie['worldwide']:\n",
    "        adjusted_worldwide=worldwide*inflation_cleaner.iloc[i,1]\n",
    "        worldwides.append(worldwide)\n",
    "        adjusted_worldwides.append(adjusted_worldwide)\n",
    "    i+=1\n",
    "i=0\n",
    "for year in inflation_cleaner[\"year\"]:\n",
    "    year_movie = movie_data.loc[movie_data[\"year\"] == year,:]\n",
    "    for title in year_movie['title']:\n",
    "        titles.append(title)\n",
    "        \n",
    "\n",
    "#if movie_data.loc[\"year\"] in inflation_cleaner.loc[\"year\"]\n",
    "       # multiplier = inflation_cleaner[row.loc[\"year\"]]\n",
    "            #print(year_movie[f'{movie}'])\n",
    "#print(adjusted_worldwides)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "779b7dc1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>Adjusted Budget</th>\n",
       "      <th>Adjusted Domestic</th>\n",
       "      <th>Adjusted International</th>\n",
       "      <th>Adjusted Worldwide</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Back to the Future Part III</td>\n",
       "      <td>79200000.0</td>\n",
       "      <td>1.747896e+08</td>\n",
       "      <td>3.125760e+08</td>\n",
       "      <td>4.873656e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The Bonfire of the Vanities</td>\n",
       "      <td>93060000.0</td>\n",
       "      <td>3.106856e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.106856e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Dances with Wolves</td>\n",
       "      <td>43560000.0</td>\n",
       "      <td>3.647335e+08</td>\n",
       "      <td>4.752000e+08</td>\n",
       "      <td>8.399335e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Dick Tracy</td>\n",
       "      <td>93060000.0</td>\n",
       "      <td>2.054027e+08</td>\n",
       "      <td>1.168200e+08</td>\n",
       "      <td>3.222227e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Die Hard 2</td>\n",
       "      <td>138600000.0</td>\n",
       "      <td>2.327311e+08</td>\n",
       "      <td>2.429588e+08</td>\n",
       "      <td>4.756899e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3217</th>\n",
       "      <td>Queen &amp; Slim</td>\n",
       "      <td>18180000.0</td>\n",
       "      <td>4.424639e+07</td>\n",
       "      <td>3.718060e+06</td>\n",
       "      <td>4.796445e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3218</th>\n",
       "      <td>Midsommar</td>\n",
       "      <td>9090000.0</td>\n",
       "      <td>2.770062e+07</td>\n",
       "      <td>1.965858e+07</td>\n",
       "      <td>4.735920e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3219</th>\n",
       "      <td>Knives Out</td>\n",
       "      <td>40400000.0</td>\n",
       "      <td>1.670169e+08</td>\n",
       "      <td>1.453083e+08</td>\n",
       "      <td>3.123251e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3220</th>\n",
       "      <td>Unplanned</td>\n",
       "      <td>6060000.0</td>\n",
       "      <td>1.919516e+07</td>\n",
       "      <td>2.067274e+06</td>\n",
       "      <td>2.126243e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3221</th>\n",
       "      <td>Playing with Fire</td>\n",
       "      <td>30199000.0</td>\n",
       "      <td>4.489637e+07</td>\n",
       "      <td>2.442162e+07</td>\n",
       "      <td>6.931799e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3222 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            title  Adjusted Budget  Adjusted Domestic  \\\n",
       "0     Back to the Future Part III       79200000.0       1.747896e+08   \n",
       "1     The Bonfire of the Vanities       93060000.0       3.106856e+07   \n",
       "2              Dances with Wolves       43560000.0       3.647335e+08   \n",
       "3                      Dick Tracy       93060000.0       2.054027e+08   \n",
       "4                      Die Hard 2      138600000.0       2.327311e+08   \n",
       "...                           ...              ...                ...   \n",
       "3217                 Queen & Slim       18180000.0       4.424639e+07   \n",
       "3218                    Midsommar        9090000.0       2.770062e+07   \n",
       "3219                   Knives Out       40400000.0       1.670169e+08   \n",
       "3220                    Unplanned        6060000.0       1.919516e+07   \n",
       "3221            Playing with Fire       30199000.0       4.489637e+07   \n",
       "\n",
       "      Adjusted International  Adjusted Worldwide  \n",
       "0               3.125760e+08        4.873656e+08  \n",
       "1                        NaN        3.106856e+07  \n",
       "2               4.752000e+08        8.399335e+08  \n",
       "3               1.168200e+08        3.222227e+08  \n",
       "4               2.429588e+08        4.756899e+08  \n",
       "...                      ...                 ...  \n",
       "3217            3.718060e+06        4.796445e+07  \n",
       "3218            1.965858e+07        4.735920e+07  \n",
       "3219            1.453083e+08        3.123251e+08  \n",
       "3220            2.067274e+06        2.126243e+07  \n",
       "3221            2.442162e+07        6.931799e+07  \n",
       "\n",
       "[3222 rows x 5 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adjusted_df = pd.DataFrame({\"title\":titles, \n",
    "                             \"Adjusted Budget\":adjusted_budgets, \n",
    "                             \"Adjusted Domestic\":adjusted_domestics, \n",
    "                             \"Adjusted International\":adjusted_internationals, \n",
    "                             \"Adjusted Worldwide\":adjusted_worldwides})\n",
    "adjusted_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b00d6e8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "#if loc[\"year\"] = 1990:\n",
    "#if the value of the year column = the key of the inflation multiplier dictionary, then multiply the value in column \"\"\n",
    "#budget\" \"domestic\", \"international\", \"worldwide\" by the value in the dictionary\n",
    "\n",
    "#other option: instead of having a multiplier column, create a dictionary of inflation \n",
    "#use loc to locate (one is index) to locate specific values in a column \n",
    "#for loop if \n",
    "\n",
    "#for row in movie_data:\n",
    "  # if row.loc[\"year\"] in inflation_cleaner.loc[\"year\"]\n",
    "       # multiplier = inflation_cleaner[row.loc[\"year\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "650cedd8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#movie_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3ffec95b",
   "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>title</th>\n",
       "      <th>year</th>\n",
       "      <th>release_date</th>\n",
       "      <th>mpaa</th>\n",
       "      <th>director</th>\n",
       "      <th>writer</th>\n",
       "      <th>composer</th>\n",
       "      <th>cinematographer</th>\n",
       "      <th>main_actor_1</th>\n",
       "      <th>main_actor_2</th>\n",
       "      <th>...</th>\n",
       "      <th>international</th>\n",
       "      <th>worldwide</th>\n",
       "      <th>genre_1</th>\n",
       "      <th>genre_2</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>genre_4</th>\n",
       "      <th>Adjusted Budget</th>\n",
       "      <th>Adjusted Domestic</th>\n",
       "      <th>Adjusted International</th>\n",
       "      <th>Adjusted Worldwide</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Back to the Future Part III</td>\n",
       "      <td>1990</td>\n",
       "      <td>25-May</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Robert Zemeckis</td>\n",
       "      <td>Robert Zemeckis</td>\n",
       "      <td>Alan Silvestri</td>\n",
       "      <td>Dean Cundey</td>\n",
       "      <td>Michael J. Fox</td>\n",
       "      <td>Christopher Lloyd</td>\n",
       "      <td>...</td>\n",
       "      <td>157866667.0</td>\n",
       "      <td>246144250.0</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>Western</td>\n",
       "      <td>79200000.0</td>\n",
       "      <td>1.747896e+08</td>\n",
       "      <td>3.125760e+08</td>\n",
       "      <td>4.873656e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The Bonfire of the Vanities</td>\n",
       "      <td>1990</td>\n",
       "      <td>22-Dec</td>\n",
       "      <td>R</td>\n",
       "      <td>Brian De Palma</td>\n",
       "      <td>Michael Cristofer</td>\n",
       "      <td>Dave Grusin</td>\n",
       "      <td>Vilmos Zsigmond</td>\n",
       "      <td>Tom Hanks</td>\n",
       "      <td>Bruce Willis</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15691192.0</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Romance</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93060000.0</td>\n",
       "      <td>3.106856e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.106856e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Dances with Wolves</td>\n",
       "      <td>1990</td>\n",
       "      <td>9-Nov</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kevin Costner</td>\n",
       "      <td>Michael Blake</td>\n",
       "      <td>John Barry</td>\n",
       "      <td>Dean Semler</td>\n",
       "      <td>Kevin Costner</td>\n",
       "      <td>Mary McDonnell</td>\n",
       "      <td>...</td>\n",
       "      <td>240000000.0</td>\n",
       "      <td>424208848.0</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Western</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43560000.0</td>\n",
       "      <td>3.647335e+08</td>\n",
       "      <td>4.752000e+08</td>\n",
       "      <td>8.399335e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Dick Tracy</td>\n",
       "      <td>1990</td>\n",
       "      <td>15-Jun</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Chester Gould</td>\n",
       "      <td>Danny Elfman</td>\n",
       "      <td>Vittorio Storaro</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Madonna</td>\n",
       "      <td>...</td>\n",
       "      <td>59000000.0</td>\n",
       "      <td>162738726.0</td>\n",
       "      <td>Action</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Music</td>\n",
       "      <td>93060000.0</td>\n",
       "      <td>2.054027e+08</td>\n",
       "      <td>1.168200e+08</td>\n",
       "      <td>3.222227e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Die Hard 2</td>\n",
       "      <td>1990</td>\n",
       "      <td>6-Jul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Renny Harlin</td>\n",
       "      <td>Walter Wager</td>\n",
       "      <td>Michael Kamen</td>\n",
       "      <td>Oliver Wood</td>\n",
       "      <td>Bruce Willis</td>\n",
       "      <td>William Atherton</td>\n",
       "      <td>...</td>\n",
       "      <td>122706486.0</td>\n",
       "      <td>240247433.0</td>\n",
       "      <td>Action</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>138600000.0</td>\n",
       "      <td>2.327311e+08</td>\n",
       "      <td>2.429588e+08</td>\n",
       "      <td>4.756899e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3272</th>\n",
       "      <td>Queen &amp; Slim</td>\n",
       "      <td>2019</td>\n",
       "      <td>27-Nov</td>\n",
       "      <td>R</td>\n",
       "      <td>Melina Matsoukas</td>\n",
       "      <td>Lena Waithe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tat Radcliffe</td>\n",
       "      <td>Daniel Kaluuya</td>\n",
       "      <td>Jodie Turner-Smith</td>\n",
       "      <td>...</td>\n",
       "      <td>3681248.0</td>\n",
       "      <td>47489558.0</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Romance</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18180000.0</td>\n",
       "      <td>4.424639e+07</td>\n",
       "      <td>3.718060e+06</td>\n",
       "      <td>4.796445e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3273</th>\n",
       "      <td>Midsommar</td>\n",
       "      <td>2019</td>\n",
       "      <td>3-Jul</td>\n",
       "      <td>R</td>\n",
       "      <td>Ari Aster</td>\n",
       "      <td>Ari Aster</td>\n",
       "      <td>The Haxan Cloak</td>\n",
       "      <td>Pawel Pogorzelski</td>\n",
       "      <td>Florence Pugh</td>\n",
       "      <td>Jack Reynor</td>\n",
       "      <td>...</td>\n",
       "      <td>19463936.0</td>\n",
       "      <td>46890297.0</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Horror</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>9090000.0</td>\n",
       "      <td>2.770062e+07</td>\n",
       "      <td>1.965858e+07</td>\n",
       "      <td>4.735920e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3274</th>\n",
       "      <td>Knives Out</td>\n",
       "      <td>2019</td>\n",
       "      <td>21-Nov</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>Rian Johnson</td>\n",
       "      <td>Rian Johnson</td>\n",
       "      <td>Nathan Johnson</td>\n",
       "      <td>Steve Yedlin</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Chris Evans</td>\n",
       "      <td>...</td>\n",
       "      <td>143869563.0</td>\n",
       "      <td>309232797.0</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>40400000.0</td>\n",
       "      <td>1.670169e+08</td>\n",
       "      <td>1.453083e+08</td>\n",
       "      <td>3.123251e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3275</th>\n",
       "      <td>Unplanned</td>\n",
       "      <td>2019</td>\n",
       "      <td>29-Mar</td>\n",
       "      <td>R</td>\n",
       "      <td>Chuck Konzelman</td>\n",
       "      <td>Abby Johnson</td>\n",
       "      <td>Stephen Blake Kanicka</td>\n",
       "      <td>Drew Maw</td>\n",
       "      <td>Ashley Bratcher</td>\n",
       "      <td>Brooks Ryan</td>\n",
       "      <td>...</td>\n",
       "      <td>2046806.0</td>\n",
       "      <td>21051915.0</td>\n",
       "      <td>Biography</td>\n",
       "      <td>Drama</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6060000.0</td>\n",
       "      <td>1.919516e+07</td>\n",
       "      <td>2.067274e+06</td>\n",
       "      <td>2.126243e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3276</th>\n",
       "      <td>Playing with Fire</td>\n",
       "      <td>2019</td>\n",
       "      <td>7-Nov</td>\n",
       "      <td>PG</td>\n",
       "      <td>Andy Fickman</td>\n",
       "      <td>Dan Ewen</td>\n",
       "      <td>Nathan Wang</td>\n",
       "      <td>Dean Semler</td>\n",
       "      <td>John Cena</td>\n",
       "      <td>Keegan-Michael Key</td>\n",
       "      <td>...</td>\n",
       "      <td>24179822.0</td>\n",
       "      <td>68631669.0</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Family</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30199000.0</td>\n",
       "      <td>4.489637e+07</td>\n",
       "      <td>2.442162e+07</td>\n",
       "      <td>6.931799e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3277 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            title  year release_date   mpaa          director  \\\n",
       "0     Back to the Future Part III  1990       25-May    NaN   Robert Zemeckis   \n",
       "1     The Bonfire of the Vanities  1990       22-Dec      R    Brian De Palma   \n",
       "2              Dances with Wolves  1990        9-Nov    NaN     Kevin Costner   \n",
       "3                      Dick Tracy  1990       15-Jun    NaN     Warren Beatty   \n",
       "4                      Die Hard 2  1990        6-Jul    NaN      Renny Harlin   \n",
       "...                           ...   ...          ...    ...               ...   \n",
       "3272                 Queen & Slim  2019       27-Nov      R  Melina Matsoukas   \n",
       "3273                    Midsommar  2019        3-Jul      R         Ari Aster   \n",
       "3274                   Knives Out  2019       21-Nov  PG-13      Rian Johnson   \n",
       "3275                    Unplanned  2019       29-Mar      R   Chuck Konzelman   \n",
       "3276            Playing with Fire  2019        7-Nov     PG      Andy Fickman   \n",
       "\n",
       "                 writer               composer    cinematographer  \\\n",
       "0       Robert Zemeckis         Alan Silvestri        Dean Cundey   \n",
       "1     Michael Cristofer            Dave Grusin    Vilmos Zsigmond   \n",
       "2         Michael Blake             John Barry        Dean Semler   \n",
       "3         Chester Gould           Danny Elfman   Vittorio Storaro   \n",
       "4          Walter Wager          Michael Kamen        Oliver Wood   \n",
       "...                 ...                    ...                ...   \n",
       "3272        Lena Waithe                    NaN      Tat Radcliffe   \n",
       "3273          Ari Aster        The Haxan Cloak  Pawel Pogorzelski   \n",
       "3274       Rian Johnson         Nathan Johnson       Steve Yedlin   \n",
       "3275       Abby Johnson  Stephen Blake Kanicka           Drew Maw   \n",
       "3276           Dan Ewen            Nathan Wang        Dean Semler   \n",
       "\n",
       "         main_actor_1        main_actor_2  ... international    worldwide  \\\n",
       "0      Michael J. Fox   Christopher Lloyd  ...   157866667.0  246144250.0   \n",
       "1           Tom Hanks        Bruce Willis  ...           NaN   15691192.0   \n",
       "2       Kevin Costner      Mary McDonnell  ...   240000000.0  424208848.0   \n",
       "3       Warren Beatty             Madonna  ...    59000000.0  162738726.0   \n",
       "4        Bruce Willis    William Atherton  ...   122706486.0  240247433.0   \n",
       "...               ...                 ...  ...           ...          ...   \n",
       "3272   Daniel Kaluuya  Jodie Turner-Smith  ...     3681248.0   47489558.0   \n",
       "3273    Florence Pugh         Jack Reynor  ...    19463936.0   46890297.0   \n",
       "3274     Daniel Craig         Chris Evans  ...   143869563.0  309232797.0   \n",
       "3275  Ashley Bratcher         Brooks Ryan  ...     2046806.0   21051915.0   \n",
       "3276        John Cena  Keegan-Michael Key  ...    24179822.0   68631669.0   \n",
       "\n",
       "        genre_1   genre_2  genre_3   genre_4 Adjusted Budget  \\\n",
       "0     Adventure    Comedy   Sci-Fi   Western      79200000.0   \n",
       "1        Comedy     Drama  Romance       NaN      93060000.0   \n",
       "2     Adventure     Drama  Western       NaN      43560000.0   \n",
       "3        Action    Comedy    Crime     Music      93060000.0   \n",
       "4        Action  Thriller      NaN       NaN     138600000.0   \n",
       "...         ...       ...      ...       ...             ...   \n",
       "3272      Crime     Drama  Romance       NaN      18180000.0   \n",
       "3273      Drama    Horror  Mystery  Thriller       9090000.0   \n",
       "3274     Comedy     Crime    Drama   Mystery      40400000.0   \n",
       "3275  Biography     Drama      NaN       NaN       6060000.0   \n",
       "3276     Comedy    Family      NaN       NaN      30199000.0   \n",
       "\n",
       "     Adjusted Domestic Adjusted International Adjusted Worldwide  \n",
       "0         1.747896e+08           3.125760e+08       4.873656e+08  \n",
       "1         3.106856e+07                    NaN       3.106856e+07  \n",
       "2         3.647335e+08           4.752000e+08       8.399335e+08  \n",
       "3         2.054027e+08           1.168200e+08       3.222227e+08  \n",
       "4         2.327311e+08           2.429588e+08       4.756899e+08  \n",
       "...                ...                    ...                ...  \n",
       "3272      4.424639e+07           3.718060e+06       4.796445e+07  \n",
       "3273      2.770062e+07           1.965858e+07       4.735920e+07  \n",
       "3274      1.670169e+08           1.453083e+08       3.123251e+08  \n",
       "3275      1.919516e+07           2.067274e+06       2.126243e+07  \n",
       "3276      4.489637e+07           2.442162e+07       6.931799e+07  \n",
       "\n",
       "[3277 rows x 24 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Merging Adjusted Revenues back to main DF\n",
    "adjusted_df = pd.merge(movie_data, adjusted_df, on=\"title\")\n",
    "adjusted_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3f7cd2f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>title</th>\n",
       "      <th>director</th>\n",
       "      <th>writer</th>\n",
       "      <th>mpaa</th>\n",
       "      <th>main_actor_1</th>\n",
       "      <th>main_actor_2</th>\n",
       "      <th>main_actor_3</th>\n",
       "      <th>main_actor_4</th>\n",
       "      <th>genre_1</th>\n",
       "      <th>genre_2</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>genre_4</th>\n",
       "      <th>Adjusted Worldwide</th>\n",
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       "      <th>Adjusted International</th>\n",
       "      <th>Adjusted Budget</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1990</td>\n",
       "      <td>Back to the Future Part III</td>\n",
       "      <td>Robert Zemeckis</td>\n",
       "      <td>Robert Zemeckis</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Michael J. Fox</td>\n",
       "      <td>Christopher Lloyd</td>\n",
       "      <td>Mary Steenburgen</td>\n",
       "      <td>Thomas F. Wilson</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>Western</td>\n",
       "      <td>4.873656e+08</td>\n",
       "      <td>1.747896e+08</td>\n",
       "      <td>3.125760e+08</td>\n",
       "      <td>79200000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1990</td>\n",
       "      <td>The Bonfire of the Vanities</td>\n",
       "      <td>Brian De Palma</td>\n",
       "      <td>Michael Cristofer</td>\n",
       "      <td>R</td>\n",
       "      <td>Tom Hanks</td>\n",
       "      <td>Bruce Willis</td>\n",
       "      <td>Melanie Griffith</td>\n",
       "      <td>Kim Cattrall</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Romance</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.106856e+07</td>\n",
       "      <td>3.106856e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93060000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1990</td>\n",
       "      <td>Dances with Wolves</td>\n",
       "      <td>Kevin Costner</td>\n",
       "      <td>Michael Blake</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kevin Costner</td>\n",
       "      <td>Mary McDonnell</td>\n",
       "      <td>Graham Greene</td>\n",
       "      <td>Rodney A. Grant</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Western</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.399335e+08</td>\n",
       "      <td>3.647335e+08</td>\n",
       "      <td>4.752000e+08</td>\n",
       "      <td>43560000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1990</td>\n",
       "      <td>Dick Tracy</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Chester Gould</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Madonna</td>\n",
       "      <td>Al Pacino</td>\n",
       "      <td>Charlie Korsmo</td>\n",
       "      <td>Action</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Music</td>\n",
       "      <td>3.222227e+08</td>\n",
       "      <td>2.054027e+08</td>\n",
       "      <td>1.168200e+08</td>\n",
       "      <td>93060000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1990</td>\n",
       "      <td>Die Hard 2</td>\n",
       "      <td>Renny Harlin</td>\n",
       "      <td>Walter Wager</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bruce Willis</td>\n",
       "      <td>William Atherton</td>\n",
       "      <td>Bonnie Bedelia</td>\n",
       "      <td>Reginald VelJohnson</td>\n",
       "      <td>Action</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.756899e+08</td>\n",
       "      <td>2.327311e+08</td>\n",
       "      <td>2.429588e+08</td>\n",
       "      <td>138600000.0</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3272</th>\n",
       "      <td>2019</td>\n",
       "      <td>Queen &amp; Slim</td>\n",
       "      <td>Melina Matsoukas</td>\n",
       "      <td>Lena Waithe</td>\n",
       "      <td>R</td>\n",
       "      <td>Daniel Kaluuya</td>\n",
       "      <td>Jodie Turner-Smith</td>\n",
       "      <td>Bokeem Woodbine</td>\n",
       "      <td>Chloë Sevigny</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Romance</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.796445e+07</td>\n",
       "      <td>4.424639e+07</td>\n",
       "      <td>3.718060e+06</td>\n",
       "      <td>18180000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3273</th>\n",
       "      <td>2019</td>\n",
       "      <td>Midsommar</td>\n",
       "      <td>Ari Aster</td>\n",
       "      <td>Ari Aster</td>\n",
       "      <td>R</td>\n",
       "      <td>Florence Pugh</td>\n",
       "      <td>Jack Reynor</td>\n",
       "      <td>Vilhelm Blomgren</td>\n",
       "      <td>William Jackson Harper</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Horror</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>4.735920e+07</td>\n",
       "      <td>2.770062e+07</td>\n",
       "      <td>1.965858e+07</td>\n",
       "      <td>9090000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3274</th>\n",
       "      <td>2019</td>\n",
       "      <td>Knives Out</td>\n",
       "      <td>Rian Johnson</td>\n",
       "      <td>Rian Johnson</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Chris Evans</td>\n",
       "      <td>Ana de Armas</td>\n",
       "      <td>Jamie Lee Curtis</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>3.123251e+08</td>\n",
       "      <td>1.670169e+08</td>\n",
       "      <td>1.453083e+08</td>\n",
       "      <td>40400000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3275</th>\n",
       "      <td>2019</td>\n",
       "      <td>Unplanned</td>\n",
       "      <td>Chuck Konzelman</td>\n",
       "      <td>Abby Johnson</td>\n",
       "      <td>R</td>\n",
       "      <td>Ashley Bratcher</td>\n",
       "      <td>Brooks Ryan</td>\n",
       "      <td>Robia Scott</td>\n",
       "      <td>Jared Lotz</td>\n",
       "      <td>Biography</td>\n",
       "      <td>Drama</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.126243e+07</td>\n",
       "      <td>1.919516e+07</td>\n",
       "      <td>2.067274e+06</td>\n",
       "      <td>6060000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3276</th>\n",
       "      <td>2019</td>\n",
       "      <td>Playing with Fire</td>\n",
       "      <td>Andy Fickman</td>\n",
       "      <td>Dan Ewen</td>\n",
       "      <td>PG</td>\n",
       "      <td>John Cena</td>\n",
       "      <td>Keegan-Michael Key</td>\n",
       "      <td>John Leguizamo</td>\n",
       "      <td>Tyler Mane</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Family</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.931799e+07</td>\n",
       "      <td>4.489637e+07</td>\n",
       "      <td>2.442162e+07</td>\n",
       "      <td>30199000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3277 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      year                        title          director             writer  \\\n",
       "0     1990  Back to the Future Part III   Robert Zemeckis    Robert Zemeckis   \n",
       "1     1990  The Bonfire of the Vanities    Brian De Palma  Michael Cristofer   \n",
       "2     1990           Dances with Wolves     Kevin Costner      Michael Blake   \n",
       "3     1990                   Dick Tracy     Warren Beatty      Chester Gould   \n",
       "4     1990                   Die Hard 2      Renny Harlin       Walter Wager   \n",
       "...    ...                          ...               ...                ...   \n",
       "3272  2019                 Queen & Slim  Melina Matsoukas        Lena Waithe   \n",
       "3273  2019                    Midsommar         Ari Aster          Ari Aster   \n",
       "3274  2019                   Knives Out      Rian Johnson       Rian Johnson   \n",
       "3275  2019                    Unplanned   Chuck Konzelman       Abby Johnson   \n",
       "3276  2019            Playing with Fire      Andy Fickman           Dan Ewen   \n",
       "\n",
       "       mpaa     main_actor_1        main_actor_2      main_actor_3  \\\n",
       "0       NaN   Michael J. Fox   Christopher Lloyd  Mary Steenburgen   \n",
       "1         R        Tom Hanks        Bruce Willis  Melanie Griffith   \n",
       "2       NaN    Kevin Costner      Mary McDonnell     Graham Greene   \n",
       "3       NaN    Warren Beatty             Madonna         Al Pacino   \n",
       "4       NaN     Bruce Willis    William Atherton    Bonnie Bedelia   \n",
       "...     ...              ...                 ...               ...   \n",
       "3272      R   Daniel Kaluuya  Jodie Turner-Smith   Bokeem Woodbine   \n",
       "3273      R    Florence Pugh         Jack Reynor  Vilhelm Blomgren   \n",
       "3274  PG-13     Daniel Craig         Chris Evans      Ana de Armas   \n",
       "3275      R  Ashley Bratcher         Brooks Ryan       Robia Scott   \n",
       "3276     PG        John Cena  Keegan-Michael Key    John Leguizamo   \n",
       "\n",
       "                main_actor_4    genre_1   genre_2  genre_3   genre_4  \\\n",
       "0           Thomas F. Wilson  Adventure    Comedy   Sci-Fi   Western   \n",
       "1               Kim Cattrall     Comedy     Drama  Romance       NaN   \n",
       "2            Rodney A. Grant  Adventure     Drama  Western       NaN   \n",
       "3             Charlie Korsmo     Action    Comedy    Crime     Music   \n",
       "4        Reginald VelJohnson     Action  Thriller      NaN       NaN   \n",
       "...                      ...        ...       ...      ...       ...   \n",
       "3272           Chloë Sevigny      Crime     Drama  Romance       NaN   \n",
       "3273  William Jackson Harper      Drama    Horror  Mystery  Thriller   \n",
       "3274        Jamie Lee Curtis     Comedy     Crime    Drama   Mystery   \n",
       "3275              Jared Lotz  Biography     Drama      NaN       NaN   \n",
       "3276              Tyler Mane     Comedy    Family      NaN       NaN   \n",
       "\n",
       "      Adjusted Worldwide  Adjusted Domestic  Adjusted International  \\\n",
       "0           4.873656e+08       1.747896e+08            3.125760e+08   \n",
       "1           3.106856e+07       3.106856e+07                     NaN   \n",
       "2           8.399335e+08       3.647335e+08            4.752000e+08   \n",
       "3           3.222227e+08       2.054027e+08            1.168200e+08   \n",
       "4           4.756899e+08       2.327311e+08            2.429588e+08   \n",
       "...                  ...                ...                     ...   \n",
       "3272        4.796445e+07       4.424639e+07            3.718060e+06   \n",
       "3273        4.735920e+07       2.770062e+07            1.965858e+07   \n",
       "3274        3.123251e+08       1.670169e+08            1.453083e+08   \n",
       "3275        2.126243e+07       1.919516e+07            2.067274e+06   \n",
       "3276        6.931799e+07       4.489637e+07            2.442162e+07   \n",
       "\n",
       "      Adjusted Budget  \n",
       "0          79200000.0  \n",
       "1          93060000.0  \n",
       "2          43560000.0  \n",
       "3          93060000.0  \n",
       "4         138600000.0  \n",
       "...               ...  \n",
       "3272       18180000.0  \n",
       "3273        9090000.0  \n",
       "3274       40400000.0  \n",
       "3275        6060000.0  \n",
       "3276       30199000.0  \n",
       "\n",
       "[3277 rows x 17 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Refining our Main DF, removing non adjusted columns\n",
    "movies_df = adjusted_df[['year','title','director','writer','mpaa','main_actor_1','main_actor_2','main_actor_3','main_actor_4','genre_1','genre_2','genre_3','genre_4','Adjusted Worldwide', 'Adjusted Domestic', 'Adjusted International', 'Adjusted Budget']]\n",
    "movies_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e65a38eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1990</td>\n",
       "      <td>Back to the Future Part III</td>\n",
       "      <td>Robert Zemeckis</td>\n",
       "      <td>Robert Zemeckis</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Michael J. Fox</td>\n",
       "      <td>Christopher Lloyd</td>\n",
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       "      <td>$174,789,614.3</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1990</td>\n",
       "      <td>The Bonfire of the Vanities</td>\n",
       "      <td>Brian De Palma</td>\n",
       "      <td>Michael Cristofer</td>\n",
       "      <td>R</td>\n",
       "      <td>Tom Hanks</td>\n",
       "      <td>Bruce Willis</td>\n",
       "      <td>Melanie Griffith</td>\n",
       "      <td>Kim Cattrall</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Romance</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$31,068,560.2</td>\n",
       "      <td>$31,068,560.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$93,060,000.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1990</td>\n",
       "      <td>Dances with Wolves</td>\n",
       "      <td>Kevin Costner</td>\n",
       "      <td>Michael Blake</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kevin Costner</td>\n",
       "      <td>Mary McDonnell</td>\n",
       "      <td>Graham Greene</td>\n",
       "      <td>Rodney A. Grant</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Western</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$839,933,519.0</td>\n",
       "      <td>$364,733,519.0</td>\n",
       "      <td>$475,200,000.0</td>\n",
       "      <td>$43,560,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1990</td>\n",
       "      <td>Dick Tracy</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Chester Gould</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Madonna</td>\n",
       "      <td>Al Pacino</td>\n",
       "      <td>Charlie Korsmo</td>\n",
       "      <td>Action</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Music</td>\n",
       "      <td>$322,222,677.5</td>\n",
       "      <td>$205,402,677.5</td>\n",
       "      <td>$116,820,000.0</td>\n",
       "      <td>$93,060,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1990</td>\n",
       "      <td>Die Hard 2</td>\n",
       "      <td>Renny Harlin</td>\n",
       "      <td>Walter Wager</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bruce Willis</td>\n",
       "      <td>William Atherton</td>\n",
       "      <td>Bonnie Bedelia</td>\n",
       "      <td>Reginald VelJohnson</td>\n",
       "      <td>Action</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$475,689,917.3</td>\n",
       "      <td>$232,731,075.1</td>\n",
       "      <td>$242,958,842.3</td>\n",
       "      <td>$138,600,000.0</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3272</th>\n",
       "      <td>2019</td>\n",
       "      <td>Queen &amp; Slim</td>\n",
       "      <td>Melina Matsoukas</td>\n",
       "      <td>Lena Waithe</td>\n",
       "      <td>R</td>\n",
       "      <td>Daniel Kaluuya</td>\n",
       "      <td>Jodie Turner-Smith</td>\n",
       "      <td>Bokeem Woodbine</td>\n",
       "      <td>Chloë Sevigny</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Romance</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$47,964,453.6</td>\n",
       "      <td>$44,246,393.1</td>\n",
       "      <td>$3,718,060.5</td>\n",
       "      <td>$18,180,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3273</th>\n",
       "      <td>2019</td>\n",
       "      <td>Midsommar</td>\n",
       "      <td>Ari Aster</td>\n",
       "      <td>Ari Aster</td>\n",
       "      <td>R</td>\n",
       "      <td>Florence Pugh</td>\n",
       "      <td>Jack Reynor</td>\n",
       "      <td>Vilhelm Blomgren</td>\n",
       "      <td>William Jackson Harper</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Horror</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>$47,359,200.0</td>\n",
       "      <td>$27,700,624.6</td>\n",
       "      <td>$19,658,575.4</td>\n",
       "      <td>$9,090,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3274</th>\n",
       "      <td>2019</td>\n",
       "      <td>Knives Out</td>\n",
       "      <td>Rian Johnson</td>\n",
       "      <td>Rian Johnson</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Chris Evans</td>\n",
       "      <td>Ana de Armas</td>\n",
       "      <td>Jamie Lee Curtis</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>$312,325,125.0</td>\n",
       "      <td>$167,016,866.3</td>\n",
       "      <td>$145,308,258.6</td>\n",
       "      <td>$40,400,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3275</th>\n",
       "      <td>2019</td>\n",
       "      <td>Unplanned</td>\n",
       "      <td>Chuck Konzelman</td>\n",
       "      <td>Abby Johnson</td>\n",
       "      <td>R</td>\n",
       "      <td>Ashley Bratcher</td>\n",
       "      <td>Brooks Ryan</td>\n",
       "      <td>Robia Scott</td>\n",
       "      <td>Jared Lotz</td>\n",
       "      <td>Biography</td>\n",
       "      <td>Drama</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$21,262,434.1</td>\n",
       "      <td>$19,195,160.1</td>\n",
       "      <td>$2,067,274.1</td>\n",
       "      <td>$6,060,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3276</th>\n",
       "      <td>2019</td>\n",
       "      <td>Playing with Fire</td>\n",
       "      <td>Andy Fickman</td>\n",
       "      <td>Dan Ewen</td>\n",
       "      <td>PG</td>\n",
       "      <td>John Cena</td>\n",
       "      <td>Keegan-Michael Key</td>\n",
       "      <td>John Leguizamo</td>\n",
       "      <td>Tyler Mane</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Family</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$69,317,985.7</td>\n",
       "      <td>$44,896,365.5</td>\n",
       "      <td>$24,421,620.2</td>\n",
       "      <td>$30,199,000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3277 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      year                        title          director             writer  \\\n",
       "0     1990  Back to the Future Part III   Robert Zemeckis    Robert Zemeckis   \n",
       "1     1990  The Bonfire of the Vanities    Brian De Palma  Michael Cristofer   \n",
       "2     1990           Dances with Wolves     Kevin Costner      Michael Blake   \n",
       "3     1990                   Dick Tracy     Warren Beatty      Chester Gould   \n",
       "4     1990                   Die Hard 2      Renny Harlin       Walter Wager   \n",
       "...    ...                          ...               ...                ...   \n",
       "3272  2019                 Queen & Slim  Melina Matsoukas        Lena Waithe   \n",
       "3273  2019                    Midsommar         Ari Aster          Ari Aster   \n",
       "3274  2019                   Knives Out      Rian Johnson       Rian Johnson   \n",
       "3275  2019                    Unplanned   Chuck Konzelman       Abby Johnson   \n",
       "3276  2019            Playing with Fire      Andy Fickman           Dan Ewen   \n",
       "\n",
       "       mpaa     main_actor_1        main_actor_2      main_actor_3  \\\n",
       "0       NaN   Michael J. Fox   Christopher Lloyd  Mary Steenburgen   \n",
       "1         R        Tom Hanks        Bruce Willis  Melanie Griffith   \n",
       "2       NaN    Kevin Costner      Mary McDonnell     Graham Greene   \n",
       "3       NaN    Warren Beatty             Madonna         Al Pacino   \n",
       "4       NaN     Bruce Willis    William Atherton    Bonnie Bedelia   \n",
       "...     ...              ...                 ...               ...   \n",
       "3272      R   Daniel Kaluuya  Jodie Turner-Smith   Bokeem Woodbine   \n",
       "3273      R    Florence Pugh         Jack Reynor  Vilhelm Blomgren   \n",
       "3274  PG-13     Daniel Craig         Chris Evans      Ana de Armas   \n",
       "3275      R  Ashley Bratcher         Brooks Ryan       Robia Scott   \n",
       "3276     PG        John Cena  Keegan-Michael Key    John Leguizamo   \n",
       "\n",
       "                main_actor_4    genre_1   genre_2  genre_3   genre_4  \\\n",
       "0           Thomas F. Wilson  Adventure    Comedy   Sci-Fi   Western   \n",
       "1               Kim Cattrall     Comedy     Drama  Romance       NaN   \n",
       "2            Rodney A. Grant  Adventure     Drama  Western       NaN   \n",
       "3             Charlie Korsmo     Action    Comedy    Crime     Music   \n",
       "4        Reginald VelJohnson     Action  Thriller      NaN       NaN   \n",
       "...                      ...        ...       ...      ...       ...   \n",
       "3272           Chloë Sevigny      Crime     Drama  Romance       NaN   \n",
       "3273  William Jackson Harper      Drama    Horror  Mystery  Thriller   \n",
       "3274        Jamie Lee Curtis     Comedy     Crime    Drama   Mystery   \n",
       "3275              Jared Lotz  Biography     Drama      NaN       NaN   \n",
       "3276              Tyler Mane     Comedy    Family      NaN       NaN   \n",
       "\n",
       "      Adjusted Worldwide  Adjusted Domestic  Adjusted International  \\\n",
       "0         $487,365,615.0     $174,789,614.3          $312,576,000.7   \n",
       "1          $31,068,560.2      $31,068,560.2                     NaN   \n",
       "2         $839,933,519.0     $364,733,519.0          $475,200,000.0   \n",
       "3         $322,222,677.5     $205,402,677.5          $116,820,000.0   \n",
       "4         $475,689,917.3     $232,731,075.1          $242,958,842.3   \n",
       "...                  ...                ...                     ...   \n",
       "3272       $47,964,453.6      $44,246,393.1            $3,718,060.5   \n",
       "3273       $47,359,200.0      $27,700,624.6           $19,658,575.4   \n",
       "3274      $312,325,125.0     $167,016,866.3          $145,308,258.6   \n",
       "3275       $21,262,434.1      $19,195,160.1            $2,067,274.1   \n",
       "3276       $69,317,985.7      $44,896,365.5           $24,421,620.2   \n",
       "\n",
       "      Adjusted Budget  \n",
       "0       $79,200,000.0  \n",
       "1       $93,060,000.0  \n",
       "2       $43,560,000.0  \n",
       "3       $93,060,000.0  \n",
       "4      $138,600,000.0  \n",
       "...               ...  \n",
       "3272    $18,180,000.0  \n",
       "3273     $9,090,000.0  \n",
       "3274    $40,400,000.0  \n",
       "3275     $6,060,000.0  \n",
       "3276    $30,199,000.0  \n",
       "\n",
       "[3277 rows x 17 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.options.display.float_format = '${:,.1f}'.format\n",
    "movies_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1ddb1e99",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>title</th>\n",
       "      <th>director</th>\n",
       "      <th>writer</th>\n",
       "      <th>mpaa</th>\n",
       "      <th>main_actor_1</th>\n",
       "      <th>main_actor_2</th>\n",
       "      <th>main_actor_3</th>\n",
       "      <th>main_actor_4</th>\n",
       "      <th>genre_1</th>\n",
       "      <th>genre_2</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>genre_4</th>\n",
       "      <th>Adjusted Worldwide</th>\n",
       "      <th>Adjusted Domestic</th>\n",
       "      <th>Adjusted International</th>\n",
       "      <th>Adjusted Budget</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1990</td>\n",
       "      <td>Back to the Future Part III</td>\n",
       "      <td>Robert Zemeckis</td>\n",
       "      <td>Robert Zemeckis</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Michael J. Fox</td>\n",
       "      <td>Christopher Lloyd</td>\n",
       "      <td>Mary Steenburgen</td>\n",
       "      <td>Thomas F. Wilson</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>Western</td>\n",
       "      <td>$487,365,615.0</td>\n",
       "      <td>$174,789,614.3</td>\n",
       "      <td>$312,576,000.7</td>\n",
       "      <td>$79,200,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1990</td>\n",
       "      <td>The Bonfire of the Vanities</td>\n",
       "      <td>Brian De Palma</td>\n",
       "      <td>Michael Cristofer</td>\n",
       "      <td>R</td>\n",
       "      <td>Tom Hanks</td>\n",
       "      <td>Bruce Willis</td>\n",
       "      <td>Melanie Griffith</td>\n",
       "      <td>Kim Cattrall</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Romance</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$31,068,560.2</td>\n",
       "      <td>$31,068,560.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$93,060,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1990</td>\n",
       "      <td>Dances with Wolves</td>\n",
       "      <td>Kevin Costner</td>\n",
       "      <td>Michael Blake</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kevin Costner</td>\n",
       "      <td>Mary McDonnell</td>\n",
       "      <td>Graham Greene</td>\n",
       "      <td>Rodney A. Grant</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Western</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$839,933,519.0</td>\n",
       "      <td>$364,733,519.0</td>\n",
       "      <td>$475,200,000.0</td>\n",
       "      <td>$43,560,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1990</td>\n",
       "      <td>Dick Tracy</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Chester Gould</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Madonna</td>\n",
       "      <td>Al Pacino</td>\n",
       "      <td>Charlie Korsmo</td>\n",
       "      <td>Action</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Music</td>\n",
       "      <td>$322,222,677.5</td>\n",
       "      <td>$205,402,677.5</td>\n",
       "      <td>$116,820,000.0</td>\n",
       "      <td>$93,060,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1990</td>\n",
       "      <td>Die Hard 2</td>\n",
       "      <td>Renny Harlin</td>\n",
       "      <td>Walter Wager</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bruce Willis</td>\n",
       "      <td>William Atherton</td>\n",
       "      <td>Bonnie Bedelia</td>\n",
       "      <td>Reginald VelJohnson</td>\n",
       "      <td>Action</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$475,689,917.3</td>\n",
       "      <td>$232,731,075.1</td>\n",
       "      <td>$242,958,842.3</td>\n",
       "      <td>$138,600,000.0</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3272</th>\n",
       "      <td>2019</td>\n",
       "      <td>Queen &amp; Slim</td>\n",
       "      <td>Melina Matsoukas</td>\n",
       "      <td>Lena Waithe</td>\n",
       "      <td>R</td>\n",
       "      <td>Daniel Kaluuya</td>\n",
       "      <td>Jodie Turner-Smith</td>\n",
       "      <td>Bokeem Woodbine</td>\n",
       "      <td>Chloë Sevigny</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Romance</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$47,964,453.6</td>\n",
       "      <td>$44,246,393.1</td>\n",
       "      <td>$3,718,060.5</td>\n",
       "      <td>$18,180,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3273</th>\n",
       "      <td>2019</td>\n",
       "      <td>Midsommar</td>\n",
       "      <td>Ari Aster</td>\n",
       "      <td>Ari Aster</td>\n",
       "      <td>R</td>\n",
       "      <td>Florence Pugh</td>\n",
       "      <td>Jack Reynor</td>\n",
       "      <td>Vilhelm Blomgren</td>\n",
       "      <td>William Jackson Harper</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Horror</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>$47,359,200.0</td>\n",
       "      <td>$27,700,624.6</td>\n",
       "      <td>$19,658,575.4</td>\n",
       "      <td>$9,090,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3274</th>\n",
       "      <td>2019</td>\n",
       "      <td>Knives Out</td>\n",
       "      <td>Rian Johnson</td>\n",
       "      <td>Rian Johnson</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Chris Evans</td>\n",
       "      <td>Ana de Armas</td>\n",
       "      <td>Jamie Lee Curtis</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>$312,325,125.0</td>\n",
       "      <td>$167,016,866.3</td>\n",
       "      <td>$145,308,258.6</td>\n",
       "      <td>$40,400,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3275</th>\n",
       "      <td>2019</td>\n",
       "      <td>Unplanned</td>\n",
       "      <td>Chuck Konzelman</td>\n",
       "      <td>Abby Johnson</td>\n",
       "      <td>R</td>\n",
       "      <td>Ashley Bratcher</td>\n",
       "      <td>Brooks Ryan</td>\n",
       "      <td>Robia Scott</td>\n",
       "      <td>Jared Lotz</td>\n",
       "      <td>Biography</td>\n",
       "      <td>Drama</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$21,262,434.1</td>\n",
       "      <td>$19,195,160.1</td>\n",
       "      <td>$2,067,274.1</td>\n",
       "      <td>$6,060,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3276</th>\n",
       "      <td>2019</td>\n",
       "      <td>Playing with Fire</td>\n",
       "      <td>Andy Fickman</td>\n",
       "      <td>Dan Ewen</td>\n",
       "      <td>PG</td>\n",
       "      <td>John Cena</td>\n",
       "      <td>Keegan-Michael Key</td>\n",
       "      <td>John Leguizamo</td>\n",
       "      <td>Tyler Mane</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Family</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$69,317,985.7</td>\n",
       "      <td>$44,896,365.5</td>\n",
       "      <td>$24,421,620.2</td>\n",
       "      <td>$30,199,000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3277 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      year                        title          director             writer  \\\n",
       "0     1990  Back to the Future Part III   Robert Zemeckis    Robert Zemeckis   \n",
       "1     1990  The Bonfire of the Vanities    Brian De Palma  Michael Cristofer   \n",
       "2     1990           Dances with Wolves     Kevin Costner      Michael Blake   \n",
       "3     1990                   Dick Tracy     Warren Beatty      Chester Gould   \n",
       "4     1990                   Die Hard 2      Renny Harlin       Walter Wager   \n",
       "...    ...                          ...               ...                ...   \n",
       "3272  2019                 Queen & Slim  Melina Matsoukas        Lena Waithe   \n",
       "3273  2019                    Midsommar         Ari Aster          Ari Aster   \n",
       "3274  2019                   Knives Out      Rian Johnson       Rian Johnson   \n",
       "3275  2019                    Unplanned   Chuck Konzelman       Abby Johnson   \n",
       "3276  2019            Playing with Fire      Andy Fickman           Dan Ewen   \n",
       "\n",
       "       mpaa     main_actor_1        main_actor_2      main_actor_3  \\\n",
       "0       NaN   Michael J. Fox   Christopher Lloyd  Mary Steenburgen   \n",
       "1         R        Tom Hanks        Bruce Willis  Melanie Griffith   \n",
       "2       NaN    Kevin Costner      Mary McDonnell     Graham Greene   \n",
       "3       NaN    Warren Beatty             Madonna         Al Pacino   \n",
       "4       NaN     Bruce Willis    William Atherton    Bonnie Bedelia   \n",
       "...     ...              ...                 ...               ...   \n",
       "3272      R   Daniel Kaluuya  Jodie Turner-Smith   Bokeem Woodbine   \n",
       "3273      R    Florence Pugh         Jack Reynor  Vilhelm Blomgren   \n",
       "3274  PG-13     Daniel Craig         Chris Evans      Ana de Armas   \n",
       "3275      R  Ashley Bratcher         Brooks Ryan       Robia Scott   \n",
       "3276     PG        John Cena  Keegan-Michael Key    John Leguizamo   \n",
       "\n",
       "                main_actor_4    genre_1   genre_2  genre_3   genre_4  \\\n",
       "0           Thomas F. Wilson  Adventure    Comedy   Sci-Fi   Western   \n",
       "1               Kim Cattrall     Comedy     Drama  Romance       NaN   \n",
       "2            Rodney A. Grant  Adventure     Drama  Western       NaN   \n",
       "3             Charlie Korsmo     Action    Comedy    Crime     Music   \n",
       "4        Reginald VelJohnson     Action  Thriller      NaN       NaN   \n",
       "...                      ...        ...       ...      ...       ...   \n",
       "3272           Chloë Sevigny      Crime     Drama  Romance       NaN   \n",
       "3273  William Jackson Harper      Drama    Horror  Mystery  Thriller   \n",
       "3274        Jamie Lee Curtis     Comedy     Crime    Drama   Mystery   \n",
       "3275              Jared Lotz  Biography     Drama      NaN       NaN   \n",
       "3276              Tyler Mane     Comedy    Family      NaN       NaN   \n",
       "\n",
       "      Adjusted Worldwide  Adjusted Domestic  Adjusted International  \\\n",
       "0         $487,365,615.0     $174,789,614.3          $312,576,000.7   \n",
       "1          $31,068,560.2      $31,068,560.2                     NaN   \n",
       "2         $839,933,519.0     $364,733,519.0          $475,200,000.0   \n",
       "3         $322,222,677.5     $205,402,677.5          $116,820,000.0   \n",
       "4         $475,689,917.3     $232,731,075.1          $242,958,842.3   \n",
       "...                  ...                ...                     ...   \n",
       "3272       $47,964,453.6      $44,246,393.1            $3,718,060.5   \n",
       "3273       $47,359,200.0      $27,700,624.6           $19,658,575.4   \n",
       "3274      $312,325,125.0     $167,016,866.3          $145,308,258.6   \n",
       "3275       $21,262,434.1      $19,195,160.1            $2,067,274.1   \n",
       "3276       $69,317,985.7      $44,896,365.5           $24,421,620.2   \n",
       "\n",
       "      Adjusted Budget  \n",
       "0       $79,200,000.0  \n",
       "1       $93,060,000.0  \n",
       "2       $43,560,000.0  \n",
       "3       $93,060,000.0  \n",
       "4      $138,600,000.0  \n",
       "...               ...  \n",
       "3272    $18,180,000.0  \n",
       "3273     $9,090,000.0  \n",
       "3274    $40,400,000.0  \n",
       "3275     $6,060,000.0  \n",
       "3276    $30,199,000.0  \n",
       "\n",
       "[3277 rows x 17 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies_df.sort_values(by='Adjusted Worldwide', ascending=False)\n",
    "movies_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e48677b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#why is this here?\n",
    "#movies_df.to_csv('movies_adjusted.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "230d8113",
   "metadata": {},
   "outputs": [],
   "source": [
    "#do we want to trim down movies_df to just 2010 to now to tell more consisitent story?  \n",
    "#Is anything using info prior to that? \n",
    "#budget v rev -yes\n",
    "#genres- yes\n",
    "#actors- yes\n",
    "#actor -yes\n",
    "#actor/oscar- no\n",
    "#oscar- yes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0f3acfb",
   "metadata": {},
   "source": [
    "# Budget vs Revenue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c9f60d1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Setup plot size.\n",
    "fig, ax = plt.subplots(figsize=(10,6))\n",
    "\n",
    "# Zorder tells it which layer to put it on. We are setting this to 1 and our data to 2 so the grid is behind the data.\n",
    "ax.grid(which=\"major\", axis='y', color='#758D99', alpha=0.6)\n",
    "\n",
    "x_values = movies_df['Adjusted Budget']/1000000\n",
    "y_values = movies_df['Adjusted Worldwide']/1000000\n",
    "(slope, intercept, rvalue, pvalue, stderr) = linregress(x_values, y_values)\n",
    "regress_values = x_values * slope + intercept\n",
    "line_eq = \"y = \" + str(round(slope,2)) + \"x + \" + str(round(intercept,2))\n",
    "\n",
    "\n",
    "plt.scatter(x_values,y_values)\n",
    "plt.plot(x_values,regress_values,\"r-\")\n",
    "#plt.annotate(line_eq,(1,8), fontsize=15,color=\"red\")\n",
    "\n",
    "# Remove splines. Can be done one at a time or can slice with a list.\n",
    "ax.spines[['top','right','bottom']].set_visible(False)\n",
    "\n",
    "# Make left spine slightly thicker\n",
    "ax.spines['left'].set_linewidth(1.1)\n",
    "ax.spines['left'].set_linewidth(1.1)\n",
    "\n",
    "\n",
    "# Add in line and tag\n",
    "ax.plot([.1, .87],                 # Set width of line\n",
    "        [1.02, 1.02],                # Set height of line\n",
    "        transform=fig.transFigure,   # Set location relative to plot\n",
    "        clip_on=False, \n",
    "        color='#E3120B', \n",
    "        linewidth=.6)\n",
    "ax.add_patch(plt.Rectangle((.1,1.02),                # Set location of rectangle by lower left corder\n",
    "                           0.12,                       # Width of rectangle\n",
    "                           -0.02,                      # Height of rectangle. Negative so it goes down.\n",
    "                           facecolor='#E3120B', \n",
    "                           transform=fig.transFigure, \n",
    "                           clip_on=False, \n",
    "                           linewidth = 0))\n",
    "\n",
    "ax.text(x=.1, y=.95, s=\"Budget vs Revenue\", transform=fig.transFigure, ha='left', fontsize=13, weight='bold', alpha=.8)\n",
    "ax.text(x=.1, y=.91, s=\"Worldwide Revenue, millions of USD\", transform=fig.transFigure, ha='left', fontsize=11, alpha=.8)\n",
    "ax.text(x=.1, y=.00, s=\"\"f\"The r-squared is: {rvalue**2}\"\"\", transform=fig.transFigure, ha='left', fontsize=11, alpha=.8)\n",
    "\n",
    "plt.xlabel('Budget')\n",
    "#plt.title('Budget vs Revenue')\n",
    "plt.ylabel('Revenue')\n",
    "#print(f\"The r-squared is: {rvalue**2}\")\n",
    "\n",
    "#plt.savefig(\"regression.png\", bbox_inches='tight')\n",
    "plt.savefig('images_out/regression.png',    # Set path and filename\n",
    "            dpi = 300,                     # Set dots per inch\n",
    "            bbox_inches=\"tight\",           # Remove extra whitespace around plot\n",
    "            facecolor='white')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3f46b29",
   "metadata": {},
   "source": [
    "# Analysis by Genre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "12549736",
   "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>genre_1</th>\n",
       "      <th>year</th>\n",
       "      <th>Adjusted Worldwide</th>\n",
       "      <th>Adjusted Domestic</th>\n",
       "      <th>Adjusted International</th>\n",
       "      <th>Adjusted Budget</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Action</td>\n",
       "      <td>1903287</td>\n",
       "      <td>$261,706,492,533.7</td>\n",
       "      <td>$106,007,969,571.1</td>\n",
       "      <td>$155,698,522,960.2</td>\n",
       "      <td>$90,803,800,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adventure</td>\n",
       "      <td>636431</td>\n",
       "      <td>$106,750,982,580.4</td>\n",
       "      <td>$41,978,926,496.6</td>\n",
       "      <td>$64,772,056,078.2</td>\n",
       "      <td>$29,108,920,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Animation</td>\n",
       "      <td>64214</td>\n",
       "      <td>$10,183,261,185.2</td>\n",
       "      <td>$4,717,912,384.4</td>\n",
       "      <td>$5,465,348,800.8</td>\n",
       "      <td>$2,377,982,500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Biography</td>\n",
       "      <td>365469</td>\n",
       "      <td>$18,561,922,308.0</td>\n",
       "      <td>$9,671,962,154.4</td>\n",
       "      <td>$8,889,960,153.6</td>\n",
       "      <td>$7,064,853,910.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Comedy</td>\n",
       "      <td>1742346</td>\n",
       "      <td>$88,929,530,300.1</td>\n",
       "      <td>$50,818,555,844.5</td>\n",
       "      <td>$38,110,974,455.6</td>\n",
       "      <td>$33,283,069,110.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Crime</td>\n",
       "      <td>417088</td>\n",
       "      <td>$19,944,834,588.8</td>\n",
       "      <td>$9,977,806,729.3</td>\n",
       "      <td>$9,967,027,859.5</td>\n",
       "      <td>$7,762,793,840.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Documentary</td>\n",
       "      <td>36140</td>\n",
       "      <td>$870,464,401.7</td>\n",
       "      <td>$435,100,873.0</td>\n",
       "      <td>$435,363,528.7</td>\n",
       "      <td>$204,756,007.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Drama</td>\n",
       "      <td>1027217</td>\n",
       "      <td>$51,404,239,958.3</td>\n",
       "      <td>$24,444,895,181.5</td>\n",
       "      <td>$26,959,344,776.8</td>\n",
       "      <td>$18,845,385,250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Family</td>\n",
       "      <td>8031</td>\n",
       "      <td>$2,199,720,602.8</td>\n",
       "      <td>$968,352,694.8</td>\n",
       "      <td>$1,231,367,908.0</td>\n",
       "      <td>$271,660,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Fantasy</td>\n",
       "      <td>20029</td>\n",
       "      <td>$1,451,251,398.9</td>\n",
       "      <td>$782,476,177.2</td>\n",
       "      <td>$668,775,221.7</td>\n",
       "      <td>$573,460,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Horror</td>\n",
       "      <td>325413</td>\n",
       "      <td>$17,482,635,723.5</td>\n",
       "      <td>$9,118,084,755.5</td>\n",
       "      <td>$8,364,550,968.0</td>\n",
       "      <td>$3,734,673,700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Music</td>\n",
       "      <td>2013</td>\n",
       "      <td>$8,853,151.3</td>\n",
       "      <td>$3,796,163.4</td>\n",
       "      <td>$5,056,988.0</td>\n",
       "      <td>$19,980,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Mystery</td>\n",
       "      <td>18011</td>\n",
       "      <td>$1,867,551,864.1</td>\n",
       "      <td>$713,471,897.2</td>\n",
       "      <td>$1,154,079,966.9</td>\n",
       "      <td>$557,460,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Romance</td>\n",
       "      <td>4020</td>\n",
       "      <td>$147,143,426.5</td>\n",
       "      <td>$71,963,632.4</td>\n",
       "      <td>$75,179,794.1</td>\n",
       "      <td>$57,748,150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>6024</td>\n",
       "      <td>$236,626,917.5</td>\n",
       "      <td>$110,266,458.7</td>\n",
       "      <td>$126,360,458.8</td>\n",
       "      <td>$131,562,000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        genre_1     year  Adjusted Worldwide  Adjusted Domestic  \\\n",
       "0        Action  1903287  $261,706,492,533.7 $106,007,969,571.1   \n",
       "1     Adventure   636431  $106,750,982,580.4  $41,978,926,496.6   \n",
       "2     Animation    64214   $10,183,261,185.2   $4,717,912,384.4   \n",
       "3     Biography   365469   $18,561,922,308.0   $9,671,962,154.4   \n",
       "4        Comedy  1742346   $88,929,530,300.1  $50,818,555,844.5   \n",
       "5         Crime   417088   $19,944,834,588.8   $9,977,806,729.3   \n",
       "6   Documentary    36140      $870,464,401.7     $435,100,873.0   \n",
       "7         Drama  1027217   $51,404,239,958.3  $24,444,895,181.5   \n",
       "8        Family     8031    $2,199,720,602.8     $968,352,694.8   \n",
       "9       Fantasy    20029    $1,451,251,398.9     $782,476,177.2   \n",
       "10       Horror   325413   $17,482,635,723.5   $9,118,084,755.5   \n",
       "11        Music     2013        $8,853,151.3       $3,796,163.4   \n",
       "12      Mystery    18011    $1,867,551,864.1     $713,471,897.2   \n",
       "13      Romance     4020      $147,143,426.5      $71,963,632.4   \n",
       "14       Sci-Fi     6024      $236,626,917.5     $110,266,458.7   \n",
       "\n",
       "    Adjusted International   Adjusted Budget  \n",
       "0       $155,698,522,960.2 $90,803,800,000.0  \n",
       "1        $64,772,056,078.2 $29,108,920,000.0  \n",
       "2         $5,465,348,800.8  $2,377,982,500.0  \n",
       "3         $8,889,960,153.6  $7,064,853,910.2  \n",
       "4        $38,110,974,455.6 $33,283,069,110.1  \n",
       "5         $9,967,027,859.5  $7,762,793,840.0  \n",
       "6           $435,363,528.7    $204,756,007.0  \n",
       "7        $26,959,344,776.8 $18,845,385,250.0  \n",
       "8         $1,231,367,908.0    $271,660,000.0  \n",
       "9           $668,775,221.7    $573,460,000.0  \n",
       "10        $8,364,550,968.0  $3,734,673,700.0  \n",
       "11            $5,056,988.0     $19,980,000.0  \n",
       "12        $1,154,079,966.9    $557,460,000.0  \n",
       "13           $75,179,794.1     $57,748,150.0  \n",
       "14          $126,360,458.8    $131,562,000.0  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#because movies were given multiple (relativly arbitrarily ordered) genres, we chose to total the \n",
    "#adjusted revenues of any movie assigned a genre\n",
    "\n",
    "genre = movies_df.groupby(\"genre_1\")\n",
    "sumgenre = genre.sum()\n",
    "genre_df = pd.DataFrame(sumgenre)\n",
    "genre_df.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f81a6eb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "genre2 = movies_df.groupby(\"genre_2\").sum()\n",
    "genre3 = movies_df.groupby(\"genre_3\").sum()\n",
    "genre4 = movies_df.groupby(\"genre_4\").sum()\n",
    "genre4[\"Adjusted Worldwide\"]=genre4[\"Adjusted Worldwide\"]/1000000000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "15510318",
   "metadata": {},
   "outputs": [],
   "source": [
    "add1 = genre_df.add(genre2, fill_value=0)\n",
    "add2 = add1.add(genre3, fill_value=0) \n",
    "add3 = add2.add(genre4, fill_value=0)\n",
    "add3[\"Adjusted Worldwide\"]=add3[\"Adjusted Worldwide\"]/1000000000\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "9aeabed0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#bar_chart = genre_df.plot.bar(y=\"Adjusted Worldwide\")\n",
    "#bar_chart2 = add3.plot.bar(y=\"Adjusted Worldwide\", legend=None)\n",
    "#bar_chart.yaxis.set_major_formatter('${x:1,.2f}')\n",
    "#bar_chart2.yaxis.set_major_formatter('${x:1,.2f}')\n",
    "#plt.title(\"Worldwide Revenue by Genre\")\n",
    "#plt.ylabel(\"Revenue in Billions\")\n",
    "#plt.xlabel(\"Genre\")\n",
    "#plt.savefig(\"images_out/genre-old.png\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f36e93aa",
   "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>index</th>\n",
       "      <th>year</th>\n",
       "      <th>Adjusted Worldwide</th>\n",
       "      <th>Adjusted Domestic</th>\n",
       "      <th>Adjusted International</th>\n",
       "      <th>Adjusted Budget</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Action</td>\n",
       "      <td>$1,903,287.0</td>\n",
       "      <td>$261.7</td>\n",
       "      <td>$106,007,969,571.1</td>\n",
       "      <td>$155,698,522,960.2</td>\n",
       "      <td>$90,803,800,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adventure</td>\n",
       "      <td>$1,524,163.0</td>\n",
       "      <td>$289.6</td>\n",
       "      <td>$111,641,786,121.3</td>\n",
       "      <td>$177,920,216,678.2</td>\n",
       "      <td>$86,091,132,700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Animation</td>\n",
       "      <td>$427,785.0</td>\n",
       "      <td>$83.5</td>\n",
       "      <td>$33,236,381,470.2</td>\n",
       "      <td>$50,215,603,655.5</td>\n",
       "      <td>$21,744,412,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Biography</td>\n",
       "      <td>$421,699.0</td>\n",
       "      <td>$21.7</td>\n",
       "      <td>$11,170,243,323.8</td>\n",
       "      <td>$10,532,627,102.3</td>\n",
       "      <td>$9,067,481,910.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Comedy</td>\n",
       "      <td>$2,689,987.0</td>\n",
       "      <td>$200.5</td>\n",
       "      <td>$101,944,407,400.8</td>\n",
       "      <td>$103,711,316,684.1</td>\n",
       "      <td>$70,269,969,110.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Crime</td>\n",
       "      <td>$1,225,602.0</td>\n",
       "      <td>$66.9</td>\n",
       "      <td>$35,821,447,093.3</td>\n",
       "      <td>$35,473,591,836.0</td>\n",
       "      <td>$29,473,260,840.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Documentary</td>\n",
       "      <td>$72,248.0</td>\n",
       "      <td>$1.6</td>\n",
       "      <td>$974,257,373.4</td>\n",
       "      <td>$611,554,864.9</td>\n",
       "      <td>$330,905,967.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Drama</td>\n",
       "      <td>$3,226,128.0</td>\n",
       "      <td>$185.1</td>\n",
       "      <td>$91,343,195,687.5</td>\n",
       "      <td>$101,066,094,792.6</td>\n",
       "      <td>$71,292,735,090.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Family</td>\n",
       "      <td>$861,114.0</td>\n",
       "      <td>$62.6</td>\n",
       "      <td>$53,976,787,308.4</td>\n",
       "      <td>$73,386,524,241.6</td>\n",
       "      <td>$37,350,904,150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Fantasy</td>\n",
       "      <td>$764,884.0</td>\n",
       "      <td>$82.1</td>\n",
       "      <td>$44,794,473,056.5</td>\n",
       "      <td>$66,118,811,458.1</td>\n",
       "      <td>$35,413,947,500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>History</td>\n",
       "      <td>$256,898.0</td>\n",
       "      <td>$11.9</td>\n",
       "      <td>$6,920,447,519.8</td>\n",
       "      <td>$8,869,997,869.6</td>\n",
       "      <td>$8,236,715,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Horror</td>\n",
       "      <td>$700,930.0</td>\n",
       "      <td>$35.0</td>\n",
       "      <td>$18,232,066,388.2</td>\n",
       "      <td>$19,335,025,548.2</td>\n",
       "      <td>$12,092,888,320.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Music</td>\n",
       "      <td>$242,762.0</td>\n",
       "      <td>$8.5</td>\n",
       "      <td>$6,075,196,306.8</td>\n",
       "      <td>$5,261,727,671.9</td>\n",
       "      <td>$3,564,368,500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Musical</td>\n",
       "      <td>$96,351.0</td>\n",
       "      <td>$5.9</td>\n",
       "      <td>$5,558,699,775.1</td>\n",
       "      <td>$8,089,693,155.9</td>\n",
       "      <td>$2,854,509,000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Mystery</td>\n",
       "      <td>$718,787.0</td>\n",
       "      <td>$37.4</td>\n",
       "      <td>$22,099,574,088.7</td>\n",
       "      <td>$25,412,685,164.8</td>\n",
       "      <td>$15,699,478,040.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>News</td>\n",
       "      <td>$4,022.0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>$17,491,157.7</td>\n",
       "      <td>$3,718,465.5</td>\n",
       "      <td>$24,272,150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Romance</td>\n",
       "      <td>$1,343,451.0</td>\n",
       "      <td>$62.0</td>\n",
       "      <td>$40,187,455,294.0</td>\n",
       "      <td>$42,081,186,766.9</td>\n",
       "      <td>$28,566,475,300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>$750,865.0</td>\n",
       "      <td>$98.4</td>\n",
       "      <td>$51,794,717,542.5</td>\n",
       "      <td>$77,419,718,369.9</td>\n",
       "      <td>$40,383,394,490.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Sport</td>\n",
       "      <td>$210,628.0</td>\n",
       "      <td>$6.5</td>\n",
       "      <td>$6,810,032,623.6</td>\n",
       "      <td>$2,997,231,720.6</td>\n",
       "      <td>$4,561,898,400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Thriller</td>\n",
       "      <td>$1,779,993.0</td>\n",
       "      <td>$82.7</td>\n",
       "      <td>$65,783,498,783.4</td>\n",
       "      <td>$85,970,177,419.7</td>\n",
       "      <td>$53,347,354,430.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>War</td>\n",
       "      <td>$156,455.0</td>\n",
       "      <td>$5.1</td>\n",
       "      <td>$4,771,200,479.5</td>\n",
       "      <td>$5,753,856,767.1</td>\n",
       "      <td>$4,845,356,800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Western</td>\n",
       "      <td>$56,094.0</td>\n",
       "      <td>$2.3</td>\n",
       "      <td>$1,937,278,363.9</td>\n",
       "      <td>$2,131,988,683.4</td>\n",
       "      <td>$2,072,125,000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          index         year  Adjusted Worldwide  Adjusted Domestic  \\\n",
       "0        Action $1,903,287.0              $261.7 $106,007,969,571.1   \n",
       "1     Adventure $1,524,163.0              $289.6 $111,641,786,121.3   \n",
       "2     Animation   $427,785.0               $83.5  $33,236,381,470.2   \n",
       "3     Biography   $421,699.0               $21.7  $11,170,243,323.8   \n",
       "4        Comedy $2,689,987.0              $200.5 $101,944,407,400.8   \n",
       "5         Crime $1,225,602.0               $66.9  $35,821,447,093.3   \n",
       "6   Documentary    $72,248.0                $1.6     $974,257,373.4   \n",
       "7         Drama $3,226,128.0              $185.1  $91,343,195,687.5   \n",
       "8        Family   $861,114.0               $62.6  $53,976,787,308.4   \n",
       "9       Fantasy   $764,884.0               $82.1  $44,794,473,056.5   \n",
       "10      History   $256,898.0               $11.9   $6,920,447,519.8   \n",
       "11       Horror   $700,930.0               $35.0  $18,232,066,388.2   \n",
       "12        Music   $242,762.0                $8.5   $6,075,196,306.8   \n",
       "13      Musical    $96,351.0                $5.9   $5,558,699,775.1   \n",
       "14      Mystery   $718,787.0               $37.4  $22,099,574,088.7   \n",
       "15         News     $4,022.0                $0.0      $17,491,157.7   \n",
       "16      Romance $1,343,451.0               $62.0  $40,187,455,294.0   \n",
       "17       Sci-Fi   $750,865.0               $98.4  $51,794,717,542.5   \n",
       "18        Sport   $210,628.0                $6.5   $6,810,032,623.6   \n",
       "19     Thriller $1,779,993.0               $82.7  $65,783,498,783.4   \n",
       "20          War   $156,455.0                $5.1   $4,771,200,479.5   \n",
       "21      Western    $56,094.0                $2.3   $1,937,278,363.9   \n",
       "\n",
       "    Adjusted International   Adjusted Budget  \n",
       "0       $155,698,522,960.2 $90,803,800,000.0  \n",
       "1       $177,920,216,678.2 $86,091,132,700.0  \n",
       "2        $50,215,603,655.5 $21,744,412,000.0  \n",
       "3        $10,532,627,102.3  $9,067,481,910.2  \n",
       "4       $103,711,316,684.1 $70,269,969,110.1  \n",
       "5        $35,473,591,836.0 $29,473,260,840.0  \n",
       "6           $611,554,864.9    $330,905,967.2  \n",
       "7       $101,066,094,792.6 $71,292,735,090.0  \n",
       "8        $73,386,524,241.6 $37,350,904,150.0  \n",
       "9        $66,118,811,458.1 $35,413,947,500.0  \n",
       "10        $8,869,997,869.6  $8,236,715,000.0  \n",
       "11       $19,335,025,548.2 $12,092,888,320.0  \n",
       "12        $5,261,727,671.9  $3,564,368,500.0  \n",
       "13        $8,089,693,155.9  $2,854,509,000.0  \n",
       "14       $25,412,685,164.8 $15,699,478,040.0  \n",
       "15            $3,718,465.5     $24,272,150.0  \n",
       "16       $42,081,186,766.9 $28,566,475,300.0  \n",
       "17       $77,419,718,369.9 $40,383,394,490.0  \n",
       "18        $2,997,231,720.6  $4,561,898,400.0  \n",
       "19       $85,970,177,419.7 $53,347,354,430.0  \n",
       "20        $5,753,856,767.1  $4,845,356,800.0  \n",
       "21        $2,131,988,683.4  $2,072,125,000.0  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#keep this here before graphing\n",
    "add3=add3.reset_index()\n",
    "add3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "e1b1ed84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Setup plot size. (w, h)- this also \n",
    "fig, ax = plt.subplots(figsize=(10,6))\n",
    "\n",
    "# Create grid \n",
    "# Zorder tells it which layer to put it on. We are setting this to 1 and our data to 2 so the grid is behind the data.\n",
    "ax.grid(which=\"major\", axis='y', color='#758D99', alpha=0.6, zorder=1)\n",
    "\n",
    "# Add in line and tag\n",
    "ax.plot([-.1, .87],                 # Set width of line\n",
    "        [1.02, 1.02],                # Set height of line\n",
    "        transform=fig.transFigure,   # Set location relative to plot\n",
    "        clip_on=False, \n",
    "        color='#E3120B', \n",
    "        linewidth=.6)\n",
    "ax.add_patch(plt.Rectangle((-.1,1.02),                # Set location of rectangle by lower left corder\n",
    "                           0.12,                       # Width of rectangle\n",
    "                           -0.02,                      # Height of rectangle. Negative so it goes down.\n",
    "                           facecolor='#E3120B', \n",
    "                           transform=fig.transFigure, \n",
    "                           clip_on=False, \n",
    "                           linewidth = 0))\n",
    "\n",
    "# Remove splines. Can be done one at a time or can slice with a list.\n",
    "ax.spines[['top','right','left']].set_visible(False)\n",
    "\n",
    "# Make bottom spine slightly thicker\n",
    "ax.spines['bottom'].set_linewidth(1.1)\n",
    "ax.spines['bottom'].set_linewidth(1.1)\n",
    "\n",
    "\n",
    "# Plot data\n",
    "ax.bar(add3[\"index\"],add3[\"Adjusted Worldwide\"]/1000000000, color='#006BA2', zorder=2)\n",
    "\n",
    "\n",
    "# Reformat x-axis tick labels\n",
    "ax.xaxis.set_tick_params(labeltop=False,      # Put x-axis labels on top\n",
    "                         labelbottom=True,  # Set no x-axis labels on bottom\n",
    "                         bottom=False,       # Set no ticks on bottom\n",
    "                         labelsize=11,\n",
    "                         labelrotation=90, # Set tick label size\n",
    "                         pad=-1)             # Lower tick labels a bit\n",
    "\n",
    "# Reformat y-axis tick labels\n",
    "#ax.set_yticklabels ha = 'left')              # Set horizontal alignment to left\n",
    "ax.yaxis.set_tick_params(pad=1,            # Pad tick labels so they don't go over y-axis\n",
    "                         bottom=True)       # Set no ticks on bottom/left\n",
    "\n",
    "\n",
    "\n",
    "ax.text(x=-.1, y=.96, s=\"Revenue by Genre\", transform=fig.transFigure, ha='left', fontsize=13, weight='bold', alpha=.8)\n",
    "ax.text(x=-.1, y=.925, s=\"Worldwide Revenue, billions of USD\", transform=fig.transFigure, ha='left', fontsize=11, alpha=.8)\n",
    "ax.text(x=-.1, y=.01, s=\"\"\"Since 1990\"\"\", transform=fig.transFigure, ha='left', fontsize=9, alpha=.7)\n",
    "\n",
    "plt.savefig('images_out/rev_by_genre.png',    # Set path and filename\n",
    "            dpi = 300,                          # Set dots per inch\n",
    "            bbox_inches=\"tight\",                # Remove extra whitespace around plot\n",
    "            facecolor='white')                  # Set background color to white\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6025fe40",
   "metadata": {},
   "source": [
    "# Top Actor Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "024d3e97",
   "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>Adjusted Domestic</th>\n",
       "      <th>Adjusted International</th>\n",
       "      <th>Adjusted Worldwide</th>\n",
       "      <th>Number of movies</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>main_actor_1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Tom Hanks</th>\n",
       "      <td>$5,142,325,677.2</td>\n",
       "      <td>$6,357,893,567.8</td>\n",
       "      <td>$11,500,219,245.0</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tom Cruise</th>\n",
       "      <td>$4,112,479,320.7</td>\n",
       "      <td>$7,368,663,466.5</td>\n",
       "      <td>$11,481,142,787.2</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Will Smith</th>\n",
       "      <td>$4,333,759,571.5</td>\n",
       "      <td>$6,143,636,440.1</td>\n",
       "      <td>$10,477,396,011.6</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Robert Downey Jr.</th>\n",
       "      <td>$3,753,356,356.7</td>\n",
       "      <td>$6,154,197,350.1</td>\n",
       "      <td>$9,907,553,706.8</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnny Depp</th>\n",
       "      <td>$3,244,849,891.2</td>\n",
       "      <td>$5,768,736,910.9</td>\n",
       "      <td>$9,013,586,802.1</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Leonardo DiCaprio</th>\n",
       "      <td>$3,106,616,751.9</td>\n",
       "      <td>$5,767,242,618.7</td>\n",
       "      <td>$8,873,859,370.6</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Daniel Radcliffe</th>\n",
       "      <td>$2,302,290,387.0</td>\n",
       "      <td>$4,983,027,545.3</td>\n",
       "      <td>$7,285,317,940.3</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vin Diesel</th>\n",
       "      <td>$2,153,727,636.4</td>\n",
       "      <td>$4,753,147,550.5</td>\n",
       "      <td>$6,906,875,186.9</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dwayne Johnson</th>\n",
       "      <td>$2,326,721,075.6</td>\n",
       "      <td>$3,900,544,304.6</td>\n",
       "      <td>$6,227,265,380.2</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adam Sandler</th>\n",
       "      <td>$3,384,783,919.8</td>\n",
       "      <td>$2,683,268,625.3</td>\n",
       "      <td>$6,068,052,545.0</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bruce Willis</th>\n",
       "      <td>$2,455,909,756.7</td>\n",
       "      <td>$3,549,097,579.1</td>\n",
       "      <td>$6,005,007,335.9</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arnold Schwarzenegger</th>\n",
       "      <td>$2,261,578,492.0</td>\n",
       "      <td>$3,696,330,850.3</td>\n",
       "      <td>$5,957,909,342.3</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chris Pratt</th>\n",
       "      <td>$2,305,414,442.5</td>\n",
       "      <td>$3,325,367,869.6</td>\n",
       "      <td>$5,630,782,312.1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mike Myers</th>\n",
       "      <td>$2,887,546,885.4</td>\n",
       "      <td>$2,685,696,993.9</td>\n",
       "      <td>$5,573,243,879.3</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ben Stiller</th>\n",
       "      <td>$2,451,077,177.5</td>\n",
       "      <td>$3,110,079,394.2</td>\n",
       "      <td>$5,561,156,571.7</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jim Carrey</th>\n",
       "      <td>$2,665,531,742.4</td>\n",
       "      <td>$2,521,177,813.2</td>\n",
       "      <td>$5,186,709,555.6</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kristen Stewart</th>\n",
       "      <td>$2,037,106,558.3</td>\n",
       "      <td>$2,872,332,973.6</td>\n",
       "      <td>$4,909,439,532.0</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Matthew Broderick</th>\n",
       "      <td>$1,959,548,237.0</td>\n",
       "      <td>$2,919,488,615.5</td>\n",
       "      <td>$4,879,036,852.5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mark Wahlberg</th>\n",
       "      <td>$2,003,874,750.0</td>\n",
       "      <td>$2,861,246,949.3</td>\n",
       "      <td>$4,865,121,699.3</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elijah Wood</th>\n",
       "      <td>$1,791,159,611.4</td>\n",
       "      <td>$3,048,462,659.8</td>\n",
       "      <td>$4,839,622,271.2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Adjusted Domestic  Adjusted International  \\\n",
       "main_actor_1                                                       \n",
       "Tom Hanks               $5,142,325,677.2        $6,357,893,567.8   \n",
       "Tom Cruise              $4,112,479,320.7        $7,368,663,466.5   \n",
       "Will Smith              $4,333,759,571.5        $6,143,636,440.1   \n",
       "Robert Downey Jr.       $3,753,356,356.7        $6,154,197,350.1   \n",
       "Johnny Depp             $3,244,849,891.2        $5,768,736,910.9   \n",
       "Leonardo DiCaprio       $3,106,616,751.9        $5,767,242,618.7   \n",
       "Daniel Radcliffe        $2,302,290,387.0        $4,983,027,545.3   \n",
       "Vin Diesel              $2,153,727,636.4        $4,753,147,550.5   \n",
       "Dwayne Johnson          $2,326,721,075.6        $3,900,544,304.6   \n",
       "Adam Sandler            $3,384,783,919.8        $2,683,268,625.3   \n",
       "Bruce Willis            $2,455,909,756.7        $3,549,097,579.1   \n",
       "Arnold Schwarzenegger   $2,261,578,492.0        $3,696,330,850.3   \n",
       "Chris Pratt             $2,305,414,442.5        $3,325,367,869.6   \n",
       "Mike Myers              $2,887,546,885.4        $2,685,696,993.9   \n",
       "Ben Stiller             $2,451,077,177.5        $3,110,079,394.2   \n",
       "Jim Carrey              $2,665,531,742.4        $2,521,177,813.2   \n",
       "Kristen Stewart         $2,037,106,558.3        $2,872,332,973.6   \n",
       "Matthew Broderick       $1,959,548,237.0        $2,919,488,615.5   \n",
       "Mark Wahlberg           $2,003,874,750.0        $2,861,246,949.3   \n",
       "Elijah Wood             $1,791,159,611.4        $3,048,462,659.8   \n",
       "\n",
       "                       Adjusted Worldwide  Number of movies  \n",
       "main_actor_1                                                 \n",
       "Tom Hanks               $11,500,219,245.0                25  \n",
       "Tom Cruise              $11,481,142,787.2                26  \n",
       "Will Smith              $10,477,396,011.6                22  \n",
       "Robert Downey Jr.        $9,907,553,706.8                12  \n",
       "Johnny Depp              $9,013,586,802.1                25  \n",
       "Leonardo DiCaprio        $8,873,859,370.6                16  \n",
       "Daniel Radcliffe         $7,285,317,940.3                 6  \n",
       "Vin Diesel               $6,906,875,186.9                15  \n",
       "Dwayne Johnson           $6,227,265,380.2                19  \n",
       "Adam Sandler             $6,068,052,545.0                27  \n",
       "Bruce Willis             $6,005,007,335.9                24  \n",
       "Arnold Schwarzenegger    $5,957,909,342.3                16  \n",
       "Chris Pratt              $5,630,782,312.1                 6  \n",
       "Mike Myers               $5,573,243,879.3                11  \n",
       "Ben Stiller              $5,561,156,571.7                19  \n",
       "Jim Carrey               $5,186,709,555.6                19  \n",
       "Kristen Stewart          $4,909,439,532.0                12  \n",
       "Matthew Broderick        $4,879,036,852.5                 7  \n",
       "Mark Wahlberg            $4,865,121,699.3                22  \n",
       "Elijah Wood              $4,839,622,271.2                 6  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_of_movies = movies_df.groupby('main_actor_1').count().sort_values('title', ascending=False)['title']\n",
    "total_revenue1 = movies_df.groupby('main_actor_1').sum().sort_values('Adjusted Worldwide', ascending=False)[['Adjusted Domestic','Adjusted International','Adjusted Worldwide']]\n",
    "total_revenue1['Number of movies'] = num_of_movies\n",
    "total_revenue1.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "4b3f649f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Adjusted Domestic</th>\n",
       "      <th>Adjusted International</th>\n",
       "      <th>Adjusted Worldwide</th>\n",
       "      <th>Number of movies</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>main_actor_2</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Chris Evans</th>\n",
       "      <td>$2,335,824,189.8</td>\n",
       "      <td>$4,198,787,940.6</td>\n",
       "      <td>$6,534,612,130.4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Samuel L. Jackson</th>\n",
       "      <td>$2,407,527,656.2</td>\n",
       "      <td>$3,645,832,345.8</td>\n",
       "      <td>$6,053,360,001.9</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Emma Watson</th>\n",
       "      <td>$1,717,835,394.1</td>\n",
       "      <td>$3,273,105,802.8</td>\n",
       "      <td>$4,990,941,202.0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zoe Saldana</th>\n",
       "      <td>$1,497,369,924.2</td>\n",
       "      <td>$3,021,317,382.5</td>\n",
       "      <td>$4,518,687,306.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kate Winslet</th>\n",
       "      <td>$1,429,618,486.4</td>\n",
       "      <td>$2,938,846,888.8</td>\n",
       "      <td>$4,368,465,375.1</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kirsten Dunst</th>\n",
       "      <td>$1,818,527,772.6</td>\n",
       "      <td>$2,307,579,650.7</td>\n",
       "      <td>$4,126,107,423.3</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paul Walker</th>\n",
       "      <td>$1,374,325,464.4</td>\n",
       "      <td>$2,740,947,840.8</td>\n",
       "      <td>$4,115,273,305.2</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jeremy Irons</th>\n",
       "      <td>$1,482,055,236.5</td>\n",
       "      <td>$2,559,923,405.8</td>\n",
       "      <td>$4,041,978,642.3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Robert Pattinson</th>\n",
       "      <td>$1,629,704,888.9</td>\n",
       "      <td>$2,335,267,862.9</td>\n",
       "      <td>$3,964,972,751.9</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cate Blanchett</th>\n",
       "      <td>$1,504,646,638.6</td>\n",
       "      <td>$2,395,807,843.2</td>\n",
       "      <td>$3,900,454,481.8</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Josh Hutcherson</th>\n",
       "      <td>$1,848,381,763.0</td>\n",
       "      <td>$2,028,414,026.9</td>\n",
       "      <td>$3,876,795,789.8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Beyoncé</th>\n",
       "      <td>$1,638,762,943.8</td>\n",
       "      <td>$2,205,138,023.8</td>\n",
       "      <td>$3,843,900,967.6</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cameron Diaz</th>\n",
       "      <td>$1,352,404,217.3</td>\n",
       "      <td>$2,351,850,265.5</td>\n",
       "      <td>$3,704,254,482.9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>John Boyega</th>\n",
       "      <td>$1,678,354,090.2</td>\n",
       "      <td>$1,988,501,942.3</td>\n",
       "      <td>$3,666,856,032.5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ian McKellen</th>\n",
       "      <td>$1,226,271,391.2</td>\n",
       "      <td>$2,287,088,614.5</td>\n",
       "      <td>$3,513,360,005.7</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bryce Dallas Howard</th>\n",
       "      <td>$1,195,351,350.4</td>\n",
       "      <td>$2,066,272,342.6</td>\n",
       "      <td>$3,261,623,693.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tim Allen</th>\n",
       "      <td>$1,316,120,201.9</td>\n",
       "      <td>$1,811,842,094.4</td>\n",
       "      <td>$3,127,962,296.3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Robin Williams</th>\n",
       "      <td>$1,207,359,130.4</td>\n",
       "      <td>$1,912,624,009.7</td>\n",
       "      <td>$3,119,983,140.1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Natalie Portman</th>\n",
       "      <td>$1,364,289,488.2</td>\n",
       "      <td>$1,745,511,597.6</td>\n",
       "      <td>$3,109,801,085.8</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Robert De Niro</th>\n",
       "      <td>$1,325,969,193.1</td>\n",
       "      <td>$1,720,280,799.9</td>\n",
       "      <td>$3,046,249,993.0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Adjusted Domestic  Adjusted International  \\\n",
       "main_actor_2                                                     \n",
       "Chris Evans           $2,335,824,189.8        $4,198,787,940.6   \n",
       "Samuel L. Jackson     $2,407,527,656.2        $3,645,832,345.8   \n",
       "Emma Watson           $1,717,835,394.1        $3,273,105,802.8   \n",
       "Zoe Saldana           $1,497,369,924.2        $3,021,317,382.5   \n",
       "Kate Winslet          $1,429,618,486.4        $2,938,846,888.8   \n",
       "Kirsten Dunst         $1,818,527,772.6        $2,307,579,650.7   \n",
       "Paul Walker           $1,374,325,464.4        $2,740,947,840.8   \n",
       "Jeremy Irons          $1,482,055,236.5        $2,559,923,405.8   \n",
       "Robert Pattinson      $1,629,704,888.9        $2,335,267,862.9   \n",
       "Cate Blanchett        $1,504,646,638.6        $2,395,807,843.2   \n",
       "Josh Hutcherson       $1,848,381,763.0        $2,028,414,026.9   \n",
       "Beyoncé               $1,638,762,943.8        $2,205,138,023.8   \n",
       "Cameron Diaz          $1,352,404,217.3        $2,351,850,265.5   \n",
       "John Boyega           $1,678,354,090.2        $1,988,501,942.3   \n",
       "Ian McKellen          $1,226,271,391.2        $2,287,088,614.5   \n",
       "Bryce Dallas Howard   $1,195,351,350.4        $2,066,272,342.6   \n",
       "Tim Allen             $1,316,120,201.9        $1,811,842,094.4   \n",
       "Robin Williams        $1,207,359,130.4        $1,912,624,009.7   \n",
       "Natalie Portman       $1,364,289,488.2        $1,745,511,597.6   \n",
       "Robert De Niro        $1,325,969,193.1        $1,720,280,799.9   \n",
       "\n",
       "                     Adjusted Worldwide  Number of movies  \n",
       "main_actor_2                                               \n",
       "Chris Evans            $6,534,612,130.4                 7  \n",
       "Samuel L. Jackson      $6,053,360,001.9                15  \n",
       "Emma Watson            $4,990,941,202.0                 7  \n",
       "Zoe Saldana            $4,518,687,306.8                 5  \n",
       "Kate Winslet           $4,368,465,375.1                 9  \n",
       "Kirsten Dunst          $4,126,107,423.3                 7  \n",
       "Paul Walker            $4,115,273,305.2                 7  \n",
       "Jeremy Irons           $4,041,978,642.3                 4  \n",
       "Robert Pattinson       $3,964,972,751.9                 7  \n",
       "Cate Blanchett         $3,900,454,481.8                10  \n",
       "Josh Hutcherson        $3,876,795,789.8                 6  \n",
       "Beyoncé                $3,843,900,967.6                 4  \n",
       "Cameron Diaz           $3,704,254,482.9                 9  \n",
       "John Boyega            $3,666,856,032.5                 2  \n",
       "Ian McKellen           $3,513,360,005.7                 4  \n",
       "Bryce Dallas Howard    $3,261,623,693.0                 3  \n",
       "Tim Allen              $3,127,962,296.3                 4  \n",
       "Robin Williams         $3,119,983,140.1                 5  \n",
       "Natalie Portman        $3,109,801,085.8                 7  \n",
       "Robert De Niro         $3,046,249,993.0                 7  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_of_movies = movies_df.groupby('main_actor_2').count().sort_values('title', ascending=False)['title']\n",
    "total_revenue2 = movies_df.groupby('main_actor_2').sum().sort_values('Adjusted Worldwide', ascending=False)[['Adjusted Domestic','Adjusted International','Adjusted Worldwide']]\n",
    "total_revenue2['Number of movies'] = num_of_movies\n",
    "total_revenue2.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "a869624d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Adjusted Domestic</th>\n",
       "      <th>Adjusted International</th>\n",
       "      <th>Adjusted Worldwide</th>\n",
       "      <th>Number of movies</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>main_actor_3</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Mark Ruffalo</th>\n",
       "      <td>$1,743,087,571.6</td>\n",
       "      <td>$3,541,333,504.0</td>\n",
       "      <td>$5,284,421,075.6</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dwayne Johnson</th>\n",
       "      <td>$1,242,659,389.9</td>\n",
       "      <td>$3,519,002,616.8</td>\n",
       "      <td>$4,761,662,006.8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rupert Grint</th>\n",
       "      <td>$1,460,083,486.8</td>\n",
       "      <td>$3,134,954,121.2</td>\n",
       "      <td>$4,595,037,613.2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Scarlett Johansson</th>\n",
       "      <td>$1,633,429,347.8</td>\n",
       "      <td>$2,505,710,509.6</td>\n",
       "      <td>$4,139,139,857.4</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seth Rogen</th>\n",
       "      <td>$1,463,968,501.4</td>\n",
       "      <td>$2,194,569,111.6</td>\n",
       "      <td>$3,658,537,612.9</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Billy Zane</th>\n",
       "      <td>$1,061,575,949.8</td>\n",
       "      <td>$2,471,471,712.8</td>\n",
       "      <td>$3,533,047,662.6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sigourney Weaver</th>\n",
       "      <td>$1,036,624,897.9</td>\n",
       "      <td>$2,468,516,821.0</td>\n",
       "      <td>$3,505,141,718.9</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jeff Goldblum</th>\n",
       "      <td>$1,369,464,028.5</td>\n",
       "      <td>$2,129,531,557.7</td>\n",
       "      <td>$3,498,995,586.2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Taylor Lautner</th>\n",
       "      <td>$1,371,797,605.6</td>\n",
       "      <td>$2,076,392,036.4</td>\n",
       "      <td>$3,448,189,641.9</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>James Earl Jones</th>\n",
       "      <td>$1,339,869,853.6</td>\n",
       "      <td>$2,080,925,134.7</td>\n",
       "      <td>$3,420,794,988.3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cameron Diaz</th>\n",
       "      <td>$1,640,659,448.2</td>\n",
       "      <td>$1,733,136,383.4</td>\n",
       "      <td>$3,373,795,831.6</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Liam Hemsworth</th>\n",
       "      <td>$1,606,990,782.0</td>\n",
       "      <td>$1,678,772,218.5</td>\n",
       "      <td>$3,285,763,000.5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Keira Knightley</th>\n",
       "      <td>$1,054,827,824.0</td>\n",
       "      <td>$1,937,714,888.4</td>\n",
       "      <td>$2,992,542,712.4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Orlando Bloom</th>\n",
       "      <td>$1,074,057,170.1</td>\n",
       "      <td>$1,826,142,514.2</td>\n",
       "      <td>$2,900,199,684.3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willem Dafoe</th>\n",
       "      <td>$1,034,946,490.9</td>\n",
       "      <td>$1,857,471,568.6</td>\n",
       "      <td>$2,892,418,059.5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kevin Hart</th>\n",
       "      <td>$1,250,115,557.8</td>\n",
       "      <td>$1,628,308,811.2</td>\n",
       "      <td>$2,878,424,369.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Joan Cusack</th>\n",
       "      <td>$1,289,566,001.3</td>\n",
       "      <td>$1,505,040,760.6</td>\n",
       "      <td>$2,794,606,762.0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Samuel L. Jackson</th>\n",
       "      <td>$1,083,687,576.0</td>\n",
       "      <td>$1,681,020,610.8</td>\n",
       "      <td>$2,764,708,186.8</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Josh Duhamel</th>\n",
       "      <td>$1,065,643,039.2</td>\n",
       "      <td>$1,543,478,098.5</td>\n",
       "      <td>$2,609,121,137.6</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morgan Freeman</th>\n",
       "      <td>$1,122,958,487.3</td>\n",
       "      <td>$1,449,379,270.1</td>\n",
       "      <td>$2,572,337,757.4</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Adjusted Domestic  Adjusted International  \\\n",
       "main_actor_3                                                    \n",
       "Mark Ruffalo         $1,743,087,571.6        $3,541,333,504.0   \n",
       "Dwayne Johnson       $1,242,659,389.9        $3,519,002,616.8   \n",
       "Rupert Grint         $1,460,083,486.8        $3,134,954,121.2   \n",
       "Scarlett Johansson   $1,633,429,347.8        $2,505,710,509.6   \n",
       "Seth Rogen           $1,463,968,501.4        $2,194,569,111.6   \n",
       "Billy Zane           $1,061,575,949.8        $2,471,471,712.8   \n",
       "Sigourney Weaver     $1,036,624,897.9        $2,468,516,821.0   \n",
       "Jeff Goldblum        $1,369,464,028.5        $2,129,531,557.7   \n",
       "Taylor Lautner       $1,371,797,605.6        $2,076,392,036.4   \n",
       "James Earl Jones     $1,339,869,853.6        $2,080,925,134.7   \n",
       "Cameron Diaz         $1,640,659,448.2        $1,733,136,383.4   \n",
       "Liam Hemsworth       $1,606,990,782.0        $1,678,772,218.5   \n",
       "Keira Knightley      $1,054,827,824.0        $1,937,714,888.4   \n",
       "Orlando Bloom        $1,074,057,170.1        $1,826,142,514.2   \n",
       "Willem Dafoe         $1,034,946,490.9        $1,857,471,568.6   \n",
       "Kevin Hart           $1,250,115,557.8        $1,628,308,811.2   \n",
       "Joan Cusack          $1,289,566,001.3        $1,505,040,760.6   \n",
       "Samuel L. Jackson    $1,083,687,576.0        $1,681,020,610.8   \n",
       "Josh Duhamel         $1,065,643,039.2        $1,543,478,098.5   \n",
       "Morgan Freeman       $1,122,958,487.3        $1,449,379,270.1   \n",
       "\n",
       "                    Adjusted Worldwide  Number of movies  \n",
       "main_actor_3                                              \n",
       "Mark Ruffalo          $5,284,421,075.6                 8  \n",
       "Dwayne Johnson        $4,761,662,006.8                 6  \n",
       "Rupert Grint          $4,595,037,613.2                 5  \n",
       "Scarlett Johansson    $4,139,139,857.4                 9  \n",
       "Seth Rogen            $3,658,537,612.9                 5  \n",
       "Billy Zane            $3,533,047,662.6                 1  \n",
       "Sigourney Weaver      $3,505,141,718.9                 4  \n",
       "Jeff Goldblum         $3,498,995,586.2                 4  \n",
       "Taylor Lautner        $3,448,189,641.9                 4  \n",
       "James Earl Jones      $3,420,794,988.3                 3  \n",
       "Cameron Diaz          $3,373,795,831.6                 8  \n",
       "Liam Hemsworth        $3,285,763,000.5                 4  \n",
       "Keira Knightley       $2,992,542,712.4                 4  \n",
       "Orlando Bloom         $2,900,199,684.3                 3  \n",
       "Willem Dafoe          $2,892,418,059.5                 6  \n",
       "Kevin Hart            $2,878,424,369.0                 4  \n",
       "Joan Cusack           $2,794,606,762.0                 7  \n",
       "Samuel L. Jackson     $2,764,708,186.8                 9  \n",
       "Josh Duhamel          $2,609,121,137.6                 4  \n",
       "Morgan Freeman        $2,572,337,757.4                11  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_of_movies = movies_df.groupby('main_actor_3').count().sort_values('title', ascending=False)['title']\n",
    "total_revenue3 = movies_df.groupby('main_actor_3').sum().sort_values('Adjusted Worldwide', ascending=False)[['Adjusted Domestic','Adjusted International','Adjusted Worldwide']]\n",
    "total_revenue3['Number of movies'] = num_of_movies\n",
    "total_revenue3.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a77fca74",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Adjusted Domestic</th>\n",
       "      <th>Adjusted International</th>\n",
       "      <th>Adjusted Worldwide</th>\n",
       "      <th>Number of movies</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>main_actor_4</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Michelle Rodriguez</th>\n",
       "      <td>$1,424,717,747.9</td>\n",
       "      <td>$4,137,313,500.7</td>\n",
       "      <td>$5,562,031,248.6</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chris Hemsworth</th>\n",
       "      <td>$1,367,273,126.1</td>\n",
       "      <td>$2,987,563,839.6</td>\n",
       "      <td>$4,354,836,965.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Orlando Bloom</th>\n",
       "      <td>$1,208,949,100.2</td>\n",
       "      <td>$2,613,873,405.0</td>\n",
       "      <td>$3,822,822,505.2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kathy Bates</th>\n",
       "      <td>$1,216,516,199.9</td>\n",
       "      <td>$2,600,624,404.8</td>\n",
       "      <td>$3,817,140,604.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Josh Gad</th>\n",
       "      <td>$1,395,112,682.9</td>\n",
       "      <td>$2,202,135,169.5</td>\n",
       "      <td>$3,597,247,852.4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Whoopi Goldberg</th>\n",
       "      <td>$1,288,946,033.2</td>\n",
       "      <td>$2,079,462,453.5</td>\n",
       "      <td>$3,368,408,486.7</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chiwetel Ejiofor</th>\n",
       "      <td>$1,288,946,033.2</td>\n",
       "      <td>$2,079,462,453.5</td>\n",
       "      <td>$3,368,408,486.7</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stanley Tucci</th>\n",
       "      <td>$1,188,755,968.7</td>\n",
       "      <td>$1,737,293,367.2</td>\n",
       "      <td>$2,926,049,335.9</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Domhnall Gleeson</th>\n",
       "      <td>$1,233,428,962.0</td>\n",
       "      <td>$1,617,990,668.7</td>\n",
       "      <td>$2,851,419,630.8</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Judi Dench</th>\n",
       "      <td>$749,187,621.7</td>\n",
       "      <td>$1,905,141,142.7</td>\n",
       "      <td>$2,654,328,764.4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Don Cheadle</th>\n",
       "      <td>$1,045,894,304.7</td>\n",
       "      <td>$1,543,351,314.6</td>\n",
       "      <td>$2,589,245,619.2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ken Watanabe</th>\n",
       "      <td>$895,247,454.1</td>\n",
       "      <td>$1,657,650,549.3</td>\n",
       "      <td>$2,552,898,003.4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stellan Skarsgård</th>\n",
       "      <td>$693,558,663.5</td>\n",
       "      <td>$1,735,854,301.8</td>\n",
       "      <td>$2,429,412,965.3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Geoffrey Rush</th>\n",
       "      <td>$664,008,103.5</td>\n",
       "      <td>$1,739,808,383.8</td>\n",
       "      <td>$2,403,816,487.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hugo Weaving</th>\n",
       "      <td>$859,249,368.2</td>\n",
       "      <td>$1,510,592,092.6</td>\n",
       "      <td>$2,369,841,460.8</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>James Franco</th>\n",
       "      <td>$1,097,925,498.7</td>\n",
       "      <td>$1,171,008,293.8</td>\n",
       "      <td>$2,268,933,792.4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Philip Seymour Hoffman</th>\n",
       "      <td>$1,100,078,644.9</td>\n",
       "      <td>$1,137,908,375.3</td>\n",
       "      <td>$2,237,987,020.2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Marisa Tomei</th>\n",
       "      <td>$841,070,173.9</td>\n",
       "      <td>$1,356,995,598.2</td>\n",
       "      <td>$2,198,065,772.1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rex Everhart</th>\n",
       "      <td>$950,293,492.9</td>\n",
       "      <td>$1,225,263,826.5</td>\n",
       "      <td>$2,175,557,319.4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miranda Cosgrove</th>\n",
       "      <td>$689,054,335.4</td>\n",
       "      <td>$1,485,383,303.7</td>\n",
       "      <td>$2,174,437,639.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Adjusted Domestic  Adjusted International  \\\n",
       "main_actor_4                                                        \n",
       "Michelle Rodriguez       $1,424,717,747.9        $4,137,313,500.7   \n",
       "Chris Hemsworth          $1,367,273,126.1        $2,987,563,839.6   \n",
       "Orlando Bloom            $1,208,949,100.2        $2,613,873,405.0   \n",
       "Kathy Bates              $1,216,516,199.9        $2,600,624,404.8   \n",
       "Josh Gad                 $1,395,112,682.9        $2,202,135,169.5   \n",
       "Whoopi Goldberg          $1,288,946,033.2        $2,079,462,453.5   \n",
       "Chiwetel Ejiofor         $1,288,946,033.2        $2,079,462,453.5   \n",
       "Stanley Tucci            $1,188,755,968.7        $1,737,293,367.2   \n",
       "Domhnall Gleeson         $1,233,428,962.0        $1,617,990,668.7   \n",
       "Judi Dench                 $749,187,621.7        $1,905,141,142.7   \n",
       "Don Cheadle              $1,045,894,304.7        $1,543,351,314.6   \n",
       "Ken Watanabe               $895,247,454.1        $1,657,650,549.3   \n",
       "Stellan Skarsgård          $693,558,663.5        $1,735,854,301.8   \n",
       "Geoffrey Rush              $664,008,103.5        $1,739,808,383.8   \n",
       "Hugo Weaving               $859,249,368.2        $1,510,592,092.6   \n",
       "James Franco             $1,097,925,498.7        $1,171,008,293.8   \n",
       "Philip Seymour Hoffman   $1,100,078,644.9        $1,137,908,375.3   \n",
       "Marisa Tomei               $841,070,173.9        $1,356,995,598.2   \n",
       "Rex Everhart               $950,293,492.9        $1,225,263,826.5   \n",
       "Miranda Cosgrove           $689,054,335.4        $1,485,383,303.7   \n",
       "\n",
       "                        Adjusted Worldwide  Number of movies  \n",
       "main_actor_4                                                  \n",
       "Michelle Rodriguez        $5,562,031,248.6                 3  \n",
       "Chris Hemsworth           $4,354,836,965.8                 2  \n",
       "Orlando Bloom             $3,822,822,505.2                 3  \n",
       "Kathy Bates               $3,817,140,604.8                 5  \n",
       "Josh Gad                  $3,597,247,852.4                 3  \n",
       "Whoopi Goldberg           $3,368,408,486.7                 2  \n",
       "Chiwetel Ejiofor          $3,368,408,486.7                 2  \n",
       "Stanley Tucci             $2,926,049,335.9                 7  \n",
       "Domhnall Gleeson          $2,851,419,630.8                 3  \n",
       "Judi Dench                $2,654,328,764.4                 4  \n",
       "Don Cheadle               $2,589,245,619.2                 5  \n",
       "Ken Watanabe              $2,552,898,003.4                 4  \n",
       "Stellan Skarsgård         $2,429,412,965.3                 5  \n",
       "Geoffrey Rush             $2,403,816,487.3                 2  \n",
       "Hugo Weaving              $2,369,841,460.8                 3  \n",
       "James Franco              $2,268,933,792.4                 2  \n",
       "Philip Seymour Hoffman    $2,237,987,020.2                 6  \n",
       "Marisa Tomei              $2,198,065,772.1                 4  \n",
       "Rex Everhart              $2,175,557,319.4                 2  \n",
       "Miranda Cosgrove          $2,174,437,639.1                 2  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_of_movies = movies_df.groupby('main_actor_4').count().sort_values('title', ascending=False)['title']\n",
    "total_revenue4 = movies_df.groupby('main_actor_4').sum().sort_values('Adjusted Worldwide', ascending=False)[['Adjusted Domestic','Adjusted International','Adjusted Worldwide']]\n",
    "total_revenue4['Number of movies'] = num_of_movies\n",
    "total_revenue4.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "688145c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Adjusted Domestic</th>\n",
       "      <th>Adjusted International</th>\n",
       "      <th>Adjusted Worldwide</th>\n",
       "      <th>Number of movies</th>\n",
       "      <th>Per Movie</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Robert Downey Jr.</th>\n",
       "      <td>$4,859,135,381.6</td>\n",
       "      <td>$7,842,760,330.1</td>\n",
       "      <td>$12,701,895,711.7</td>\n",
       "      <td>$20.0</td>\n",
       "      <td>$635,094,785.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tom Hanks</th>\n",
       "      <td>$5,580,381,916.5</td>\n",
       "      <td>$6,791,366,807.4</td>\n",
       "      <td>$12,371,748,723.9</td>\n",
       "      <td>$29.0</td>\n",
       "      <td>$426,612,025.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Will Smith</th>\n",
       "      <td>$5,083,529,681.7</td>\n",
       "      <td>$7,254,189,212.4</td>\n",
       "      <td>$12,337,718,894.1</td>\n",
       "      <td>$25.0</td>\n",
       "      <td>$493,508,755.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tom Cruise</th>\n",
       "      <td>$4,340,218,417.4</td>\n",
       "      <td>$7,599,480,466.5</td>\n",
       "      <td>$11,939,698,883.9</td>\n",
       "      <td>$28.0</td>\n",
       "      <td>$426,417,817.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Samuel L. Jackson</th>\n",
       "      <td>$5,018,050,431.9</td>\n",
       "      <td>$6,813,052,628.5</td>\n",
       "      <td>$11,831,103,060.4</td>\n",
       "      <td>$40.0</td>\n",
       "      <td>$295,777,576.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dwayne Johnson</th>\n",
       "      <td>$3,898,487,215.8</td>\n",
       "      <td>$7,843,016,001.8</td>\n",
       "      <td>$11,741,503,217.6</td>\n",
       "      <td>$28.0</td>\n",
       "      <td>$419,339,400.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnny Depp</th>\n",
       "      <td>$4,103,590,938.9</td>\n",
       "      <td>$7,556,926,129.6</td>\n",
       "      <td>$11,660,517,068.5</td>\n",
       "      <td>$31.0</td>\n",
       "      <td>$376,145,711.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chris Evans</th>\n",
       "      <td>$3,942,761,761.2</td>\n",
       "      <td>$6,482,596,180.9</td>\n",
       "      <td>$10,425,357,942.0</td>\n",
       "      <td>$19.0</td>\n",
       "      <td>$548,703,049.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Orlando Bloom</th>\n",
       "      <td>$3,310,376,996.8</td>\n",
       "      <td>$6,338,082,091.0</td>\n",
       "      <td>$9,648,459,087.8</td>\n",
       "      <td>$10.0</td>\n",
       "      <td>$964,845,908.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cameron Diaz</th>\n",
       "      <td>$4,056,185,210.2</td>\n",
       "      <td>$5,419,757,908.1</td>\n",
       "      <td>$9,475,943,118.4</td>\n",
       "      <td>$28.0</td>\n",
       "      <td>$338,426,539.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Leonardo DiCaprio</th>\n",
       "      <td>$3,322,269,005.3</td>\n",
       "      <td>$6,063,938,587.2</td>\n",
       "      <td>$9,386,207,592.5</td>\n",
       "      <td>$18.0</td>\n",
       "      <td>$521,455,977.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Emma Watson</th>\n",
       "      <td>$3,178,092,845.4</td>\n",
       "      <td>$5,689,459,955.6</td>\n",
       "      <td>$8,867,552,807.6</td>\n",
       "      <td>$12.0</td>\n",
       "      <td>$738,962,734.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vin Diesel</th>\n",
       "      <td>$3,050,305,800.2</td>\n",
       "      <td>$5,773,356,964.5</td>\n",
       "      <td>$8,823,662,764.8</td>\n",
       "      <td>$20.0</td>\n",
       "      <td>$441,183,138.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brad Pitt</th>\n",
       "      <td>$3,016,289,203.6</td>\n",
       "      <td>$5,021,582,182.2</td>\n",
       "      <td>$8,037,871,385.8</td>\n",
       "      <td>$28.0</td>\n",
       "      <td>$287,066,835.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Angelina Jolie</th>\n",
       "      <td>$2,782,680,521.2</td>\n",
       "      <td>$5,085,541,371.1</td>\n",
       "      <td>$7,868,221,892.3</td>\n",
       "      <td>$27.0</td>\n",
       "      <td>$291,415,625.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Adjusted Domestic  Adjusted International  \\\n",
       "Robert Downey Jr.   $4,859,135,381.6        $7,842,760,330.1   \n",
       "Tom Hanks           $5,580,381,916.5        $6,791,366,807.4   \n",
       "Will Smith          $5,083,529,681.7        $7,254,189,212.4   \n",
       "Tom Cruise          $4,340,218,417.4        $7,599,480,466.5   \n",
       "Samuel L. Jackson   $5,018,050,431.9        $6,813,052,628.5   \n",
       "Dwayne Johnson      $3,898,487,215.8        $7,843,016,001.8   \n",
       "Johnny Depp         $4,103,590,938.9        $7,556,926,129.6   \n",
       "Chris Evans         $3,942,761,761.2        $6,482,596,180.9   \n",
       "Orlando Bloom       $3,310,376,996.8        $6,338,082,091.0   \n",
       "Cameron Diaz        $4,056,185,210.2        $5,419,757,908.1   \n",
       "Leonardo DiCaprio   $3,322,269,005.3        $6,063,938,587.2   \n",
       "Emma Watson         $3,178,092,845.4        $5,689,459,955.6   \n",
       "Vin Diesel          $3,050,305,800.2        $5,773,356,964.5   \n",
       "Brad Pitt           $3,016,289,203.6        $5,021,582,182.2   \n",
       "Angelina Jolie      $2,782,680,521.2        $5,085,541,371.1   \n",
       "\n",
       "                   Adjusted Worldwide  Number of movies      Per Movie  \n",
       "Robert Downey Jr.   $12,701,895,711.7             $20.0 $635,094,785.6  \n",
       "Tom Hanks           $12,371,748,723.9             $29.0 $426,612,025.0  \n",
       "Will Smith          $12,337,718,894.1             $25.0 $493,508,755.8  \n",
       "Tom Cruise          $11,939,698,883.9             $28.0 $426,417,817.3  \n",
       "Samuel L. Jackson   $11,831,103,060.4             $40.0 $295,777,576.5  \n",
       "Dwayne Johnson      $11,741,503,217.6             $28.0 $419,339,400.6  \n",
       "Johnny Depp         $11,660,517,068.5             $31.0 $376,145,711.9  \n",
       "Chris Evans         $10,425,357,942.0             $19.0 $548,703,049.6  \n",
       "Orlando Bloom        $9,648,459,087.8             $10.0 $964,845,908.8  \n",
       "Cameron Diaz         $9,475,943,118.4             $28.0 $338,426,539.9  \n",
       "Leonardo DiCaprio    $9,386,207,592.5             $18.0 $521,455,977.4  \n",
       "Emma Watson          $8,867,552,807.6             $12.0 $738,962,734.0  \n",
       "Vin Diesel           $8,823,662,764.8             $20.0 $441,183,138.2  \n",
       "Brad Pitt            $8,037,871,385.8             $28.0 $287,066,835.2  \n",
       "Angelina Jolie       $7,868,221,892.3             $27.0 $291,415,625.6  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "add1 = total_revenue1.add(total_revenue2, fill_value=0)\n",
    "add2 = add1.add(total_revenue3, fill_value=0) \n",
    "add3 = add2.add(total_revenue4, fill_value=0)\n",
    "add3[\"Per Movie\"]=add3[\"Adjusted Worldwide\"]/add3[\"Number of movies\"]\n",
    "ww = add3.sort_values('Adjusted Worldwide', ascending = False).head(15)\n",
    "ww"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "ed0b4bb5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#ww[[\"Adjusted Domestic\", \"Adjusted International\"]].plot(kind=\"bar\", stacked=True)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "62f5b754",
   "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>index</th>\n",
       "      <th>Adjusted Domestic</th>\n",
       "      <th>Adjusted International</th>\n",
       "      <th>Adjusted Worldwide</th>\n",
       "      <th>Number of movies</th>\n",
       "      <th>Per Movie</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Robert Downey Jr.</td>\n",
       "      <td>$4,859,135,381.6</td>\n",
       "      <td>$7,842,760,330.1</td>\n",
       "      <td>$12,701,895,711.7</td>\n",
       "      <td>$20.0</td>\n",
       "      <td>$635,094,785.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Tom Hanks</td>\n",
       "      <td>$5,580,381,916.5</td>\n",
       "      <td>$6,791,366,807.4</td>\n",
       "      <td>$12,371,748,723.9</td>\n",
       "      <td>$29.0</td>\n",
       "      <td>$426,612,025.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Will Smith</td>\n",
       "      <td>$5,083,529,681.7</td>\n",
       "      <td>$7,254,189,212.4</td>\n",
       "      <td>$12,337,718,894.1</td>\n",
       "      <td>$25.0</td>\n",
       "      <td>$493,508,755.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Tom Cruise</td>\n",
       "      <td>$4,340,218,417.4</td>\n",
       "      <td>$7,599,480,466.5</td>\n",
       "      <td>$11,939,698,883.9</td>\n",
       "      <td>$28.0</td>\n",
       "      <td>$426,417,817.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Samuel L. Jackson</td>\n",
       "      <td>$5,018,050,431.9</td>\n",
       "      <td>$6,813,052,628.5</td>\n",
       "      <td>$11,831,103,060.4</td>\n",
       "      <td>$40.0</td>\n",
       "      <td>$295,777,576.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               index  Adjusted Domestic  Adjusted International  \\\n",
       "0  Robert Downey Jr.   $4,859,135,381.6        $7,842,760,330.1   \n",
       "1          Tom Hanks   $5,580,381,916.5        $6,791,366,807.4   \n",
       "2         Will Smith   $5,083,529,681.7        $7,254,189,212.4   \n",
       "3         Tom Cruise   $4,340,218,417.4        $7,599,480,466.5   \n",
       "4  Samuel L. Jackson   $5,018,050,431.9        $6,813,052,628.5   \n",
       "\n",
       "   Adjusted Worldwide  Number of movies      Per Movie  \n",
       "0   $12,701,895,711.7             $20.0 $635,094,785.6  \n",
       "1   $12,371,748,723.9             $29.0 $426,612,025.0  \n",
       "2   $12,337,718,894.1             $25.0 $493,508,755.8  \n",
       "3   $11,939,698,883.9             $28.0 $426,417,817.3  \n",
       "4   $11,831,103,060.4             $40.0 $295,777,576.5  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#keep this here before plotting\n",
    "ww=ww.reset_index()\n",
    "ww.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "7d1bb35f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Setup plot size.\n",
    "fig, ax = plt.subplots(figsize=(10,6))\n",
    "\n",
    "# Create grid \n",
    "# Zorder tells it which layer to put it on. We are setting this to 1 and our data to 2 so the grid is behind the data.\n",
    "ax.grid(which=\"major\", axis='y', color='#758D99', alpha=0.6, zorder=1)\n",
    "\n",
    "# Remove splines. Can be done one at a time or can slice with a list.\n",
    "ax.spines[['top','right','left']].set_visible(False)\n",
    "\n",
    "# Make bottom spine slightly thicker\n",
    "ax.spines['bottom'].set_linewidth(1.1)\n",
    "ax.spines['bottom'].set_linewidth(1.1)\n",
    "\n",
    "# Setup data\n",
    "actor= ww['index']\n",
    "revenue = ww[\"Adjusted Worldwide\"]/1000000000\n",
    "\n",
    "# Plot data\n",
    "ax.bar(actor, revenue, color='#006BA2', zorder=2)\n",
    "\n",
    "\n",
    "# Reformat x-axis tick labels\n",
    "ax.xaxis.set_tick_params(labeltop=False,      # Put x-axis labels on top\n",
    "                         labelbottom=True,  # Set no x-axis labels on bottom\n",
    "                         bottom=False,       # Set no ticks on bottom\n",
    "                         labelsize=11,\n",
    "                         labelrotation = 90, \n",
    "                         pad=-1)             # Lower tick labels a bit\n",
    "\n",
    "# Reformat y-axis tick labels\n",
    "#ax.set_yticklabels(gdp_bar['country'],      # Set labels again\n",
    "#                   ha = 'left')              # Set horizontal alignment to left\n",
    "#ax.yaxis.set_tick_params(pad=100,            # Pad tick labels so they don't go over y-axis\n",
    "##                         labelsize=11,       # Set label size\n",
    "#                         bottom=False)       # Set no ticks on bottom/left\n",
    "\n",
    "# Shrink y-lim to make plot a bit tighter\n",
    "#ax.set_ylim(-0.5, 8.5)\n",
    "\n",
    "# Add in line and tag\n",
    "ax.plot([.1, .87],                 # Set width of line\n",
    "        [1.02, 1.02],                # Set height of line\n",
    "        transform=fig.transFigure,   # Set location relative to plot\n",
    "        clip_on=False, \n",
    "        color='#E3120B', \n",
    "        linewidth=.6)\n",
    "ax.add_patch(plt.Rectangle((.1,1.02),                # Set location of rectangle by lower left corder\n",
    "                           0.12,                       # Width of rectangle\n",
    "                           -0.02,                      # Height of rectangle. Negative so it goes down.\n",
    "                           facecolor='#E3120B', \n",
    "                           transform=fig.transFigure, \n",
    "                           clip_on=False, \n",
    "                           linewidth = 0))\n",
    "\n",
    "# Set Legend\n",
    "#ax.legend(['\"Adjusted Domestic', 'Adjusted International'], loc=(-.29,1.09), ncol=2, frameon=False, handletextpad=-.1, handleheight=1)\n",
    "\n",
    "\n",
    "# Add in title and subtitle\n",
    "ax.text(x=.1, y=.96, s=\"The Big Guns\", transform=fig.transFigure, ha='left', fontsize=13, weight='bold', alpha=.8)\n",
    "ax.text(x=.1, y=.925, s=\"Total Worldwide Revenue, billions of USD\", transform=fig.transFigure, ha='left', fontsize=11, alpha=.8)\n",
    "\n",
    "# Set source text\n",
    "ax.text(x=.1, y=-.25, s=\"\"\"Since 1990, all movies\"\"\", transform=fig.transFigure, ha='left', fontsize=9, alpha=.7)\n",
    "\n",
    "# Export plot as high resolution PNG\n",
    "plt.savefig('images_out/actors_bar.png',    # Set path and filename\n",
    "            dpi = 300,                     # Set dots per inch\n",
    "            bbox_inches=\"tight\",           # Remove extra whitespace around plot\n",
    "            facecolor='white')             # Set background color to white\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "5f8645d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Adjusted Domestic</th>\n",
       "      <th>Adjusted International</th>\n",
       "      <th>Adjusted Worldwide</th>\n",
       "      <th>Number of movies</th>\n",
       "      <th>Per Movie</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Billy Zane</td>\n",
       "      <td>$1,061,575,949.8</td>\n",
       "      <td>$2,471,471,712.8</td>\n",
       "      <td>$3,533,047,662.6</td>\n",
       "      <td>$1.0</td>\n",
       "      <td>$3,533,047,662.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Richard Attenborough</td>\n",
       "      <td>$721,062,334.8</td>\n",
       "      <td>$1,126,254,397.8</td>\n",
       "      <td>$1,847,316,732.6</td>\n",
       "      <td>$1.0</td>\n",
       "      <td>$1,847,316,732.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jake Lloyd</td>\n",
       "      <td>$735,544,249.4</td>\n",
       "      <td>$856,433,946.5</td>\n",
       "      <td>$1,591,978,195.9</td>\n",
       "      <td>$1.0</td>\n",
       "      <td>$1,591,978,195.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Daisy Ridley</td>\n",
       "      <td>$2,198,708,657.6</td>\n",
       "      <td>$2,553,033,065.4</td>\n",
       "      <td>$4,751,741,723.0</td>\n",
       "      <td>$3.0</td>\n",
       "      <td>$1,583,913,907.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonathan Groff</td>\n",
       "      <td>$926,966,503.8</td>\n",
       "      <td>$1,959,251,231.6</td>\n",
       "      <td>$2,886,217,735.4</td>\n",
       "      <td>$2.0</td>\n",
       "      <td>$1,443,108,867.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  index  Adjusted Domestic  Adjusted International  \\\n",
       "0            Billy Zane   $1,061,575,949.8        $2,471,471,712.8   \n",
       "1  Richard Attenborough     $721,062,334.8        $1,126,254,397.8   \n",
       "2            Jake Lloyd     $735,544,249.4          $856,433,946.5   \n",
       "3          Daisy Ridley   $2,198,708,657.6        $2,553,033,065.4   \n",
       "4        Jonathan Groff     $926,966,503.8        $1,959,251,231.6   \n",
       "\n",
       "   Adjusted Worldwide  Number of movies        Per Movie  \n",
       "0    $3,533,047,662.6              $1.0 $3,533,047,662.6  \n",
       "1    $1,847,316,732.6              $1.0 $1,847,316,732.6  \n",
       "2    $1,591,978,195.9              $1.0 $1,591,978,195.9  \n",
       "3    $4,751,741,723.0              $3.0 $1,583,913,907.7  \n",
       "4    $2,886,217,735.4              $2.0 $1,443,108,867.7  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "elite = add3.sort_values('Per Movie', ascending = False).head(15)\n",
    "elite=elite.reset_index()\n",
    "elite.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "95d5b522",
   "metadata": {},
   "outputs": [],
   "source": [
    "#elite=elite.reset_index()\n",
    "#elite.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "742d4afb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Setup plot size.\n",
    "fig, ax = plt.subplots(figsize=(10,6))\n",
    "\n",
    "# Create grid \n",
    "# Zorder tells it which layer to put it on. We are setting this to 1 and our data to 2 so the grid is behind the data.\n",
    "ax.grid(which=\"major\", axis='y', color='#758D99', alpha=0.6, zorder=1)\n",
    "\n",
    "# Remove splines. Can be done one at a time or can slice with a list.\n",
    "ax.spines[['top','right','left']].set_visible(False)\n",
    "\n",
    "# Make left spine slightly thicker\n",
    "ax.spines['bottom'].set_linewidth(1.1)\n",
    "ax.spines['bottom'].set_linewidth(1.1)\n",
    "\n",
    "# Setup data\n",
    "actor= elite['index']\n",
    "revenue = elite[\"Per Movie\"]/1000000000\n",
    "\n",
    "# Plot data\n",
    "ax.bar(actor, revenue, color='#006BA2', zorder=2)\n",
    "\n",
    "# Set custom labels for x-axis\n",
    "#ax.set_xticks([0, 5, 10, 15, 20])\n",
    "#ax.set_xticklabels([0, 5, 10, 15, 20])\n",
    "\n",
    "# Reformat x-axis tick labels\n",
    "ax.xaxis.set_tick_params(labeltop=False,      # Put x-axis labels on top\n",
    "                         labelbottom=True,  # Set no x-axis labels on bottom\n",
    "                         bottom=False,       # Set no ticks on bottom\n",
    "                         labelsize=11,\n",
    "                         labelrotation = 90, # Set tick label size\n",
    "                         pad=-1)             # Lower tick labels a bit\n",
    "\n",
    "# Reformat y-axis tick labels\n",
    "#ax.set_yticklabels(gdp_bar['country'],      # Set labels again\n",
    "#                   ha = 'left')              # Set horizontal alignment to left\n",
    "#ax.yaxis.set_tick_params(pad=100,            # Pad tick labels so they don't go over y-axis\n",
    "##                         labelsize=11,       # Set label size\n",
    "#                         bottom=False)       # Set no ticks on bottom/left\n",
    "\n",
    "# Shrink y-lim to make plot a bit tighter\n",
    "#ax.set_ylim(-0.5, 8.5)\n",
    "\n",
    "# Add in line and tag\n",
    "ax.plot([.1, .87],                 # Set width of line\n",
    "        [1.02, 1.02],                # Set height of line\n",
    "        transform=fig.transFigure,   # Set location relative to plot\n",
    "        clip_on=False, \n",
    "        color='#E3120B', \n",
    "        linewidth=.6)\n",
    "ax.add_patch(plt.Rectangle((.1,1.02),                # Set location of rectangle by lower left corder\n",
    "                           0.12,                       # Width of rectangle\n",
    "                           -0.02,                      # Height of rectangle. Negative so it goes down.\n",
    "                           facecolor='#E3120B', \n",
    "                           transform=fig.transFigure, \n",
    "                           clip_on=False, \n",
    "                           linewidth = 0))\n",
    "\n",
    "# Set Legend\n",
    "#ax.legend(['\"Adjusted Domestic', 'Adjusted International'], loc=(-.29,1.09), ncol=2, frameon=False, handletextpad=-.1, handleheight=1)\n",
    "\n",
    "\n",
    "# Add in title and subtitle\n",
    "ax.text(x=.1, y=.96, s=\"The Quietly Elite\", transform=fig.transFigure, ha='left', fontsize=13, weight='bold', alpha=.8)\n",
    "ax.text(x=.1, y=.925, s=\"Average Worldwide Revenue per Movie, billions of USD\", transform=fig.transFigure, ha='left', fontsize=11, alpha=.8)\n",
    "\n",
    "# Set source text\n",
    "ax.text(x=.1, y=-.25, s=\"\"\"1990-2019\"\"\", transform=fig.transFigure, ha='left', fontsize=9, alpha=.7)\n",
    "\n",
    "# Export plot as high resolution PNG\n",
    "plt.savefig('images_out/quiet_actors_bar.png',    # Set path and filename\n",
    "            dpi = 300,                     # Set dots per inch\n",
    "            bbox_inches=\"tight\",           # Remove extra whitespace around plot\n",
    "            facecolor='white')             # Set background color to white\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9dfd8807",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "cf905c71",
   "metadata": {},
   "source": [
    "# Oscar Winning Actors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "b2f94a10",
   "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>year_film</th>\n",
       "      <th>year_ceremony</th>\n",
       "      <th>ceremony</th>\n",
       "      <th>category</th>\n",
       "      <th>name</th>\n",
       "      <th>film</th>\n",
       "      <th>winner</th>\n",
       "      <th>loser</th>\n",
       "      <th>winner_ct</th>\n",
       "      <th>loser_ct</th>\n",
       "      <th>nominees</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1980</td>\n",
       "      <td>1981</td>\n",
       "      <td>53</td>\n",
       "      <td>ACTOR IN A LEADING ROLE</td>\n",
       "      <td>Robert De Niro</td>\n",
       "      <td>Raging Bull</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1980</td>\n",
       "      <td>1981</td>\n",
       "      <td>53</td>\n",
       "      <td>ACTOR IN A SUPPORTING ROLE</td>\n",
       "      <td>Joe Pesci</td>\n",
       "      <td>Raging Bull</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1980</td>\n",
       "      <td>1981</td>\n",
       "      <td>53</td>\n",
       "      <td>ACTRESS IN A SUPPORTING ROLE</td>\n",
       "      <td>Cathy Moriarty</td>\n",
       "      <td>Raging Bull</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1980</td>\n",
       "      <td>1981</td>\n",
       "      <td>53</td>\n",
       "      <td>CINEMATOGRAPHY</td>\n",
       "      <td>Michael Chapman</td>\n",
       "      <td>Raging Bull</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1980</td>\n",
       "      <td>1981</td>\n",
       "      <td>53</td>\n",
       "      <td>DIRECTING</td>\n",
       "      <td>Martin Scorsese</td>\n",
       "      <td>Raging Bull</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year_film  year_ceremony  ceremony                      category  \\\n",
       "0       1980           1981        53       ACTOR IN A LEADING ROLE   \n",
       "1       1980           1981        53    ACTOR IN A SUPPORTING ROLE   \n",
       "2       1980           1981        53  ACTRESS IN A SUPPORTING ROLE   \n",
       "3       1980           1981        53                CINEMATOGRAPHY   \n",
       "4       1980           1981        53                     DIRECTING   \n",
       "\n",
       "              name         film  winner  loser  winner_ct  loser_ct  nominees  \n",
       "0   Robert De Niro  Raging Bull    True  False          2         6         8  \n",
       "1        Joe Pesci  Raging Bull   False   True          2         6         8  \n",
       "2   Cathy Moriarty  Raging Bull   False   True          2         6         8  \n",
       "3  Michael Chapman  Raging Bull   False   True          2         6         8  \n",
       "4  Martin Scorsese  Raging Bull   False   True          2         6         8  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "oscars_df = pd.read_csv(oscars)\n",
    "oscars_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "e39396a3",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>title</th>\n",
       "      <th>director</th>\n",
       "      <th>writer</th>\n",
       "      <th>mpaa</th>\n",
       "      <th>main_actor_1</th>\n",
       "      <th>main_actor_2</th>\n",
       "      <th>main_actor_3</th>\n",
       "      <th>main_actor_4</th>\n",
       "      <th>genre_1</th>\n",
       "      <th>...</th>\n",
       "      <th>Adjusted Budget</th>\n",
       "      <th>year_ceremony</th>\n",
       "      <th>ceremony</th>\n",
       "      <th>category</th>\n",
       "      <th>name</th>\n",
       "      <th>winner</th>\n",
       "      <th>loser</th>\n",
       "      <th>winner_ct</th>\n",
       "      <th>loser_ct</th>\n",
       "      <th>nominees</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1990</td>\n",
       "      <td>Dick Tracy</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Chester Gould</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Madonna</td>\n",
       "      <td>Al Pacino</td>\n",
       "      <td>Charlie Korsmo</td>\n",
       "      <td>Action</td>\n",
       "      <td>...</td>\n",
       "      <td>$93,060,000.0</td>\n",
       "      <td>1991</td>\n",
       "      <td>63</td>\n",
       "      <td>ACTOR IN A SUPPORTING ROLE</td>\n",
       "      <td>Al Pacino</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1990</td>\n",
       "      <td>Dick Tracy</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Chester Gould</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Madonna</td>\n",
       "      <td>Al Pacino</td>\n",
       "      <td>Charlie Korsmo</td>\n",
       "      <td>Action</td>\n",
       "      <td>...</td>\n",
       "      <td>$93,060,000.0</td>\n",
       "      <td>1991</td>\n",
       "      <td>63</td>\n",
       "      <td>ART DIRECTION</td>\n",
       "      <td>Art Direction:  Richard Sylbert;  Set Decorati...</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1990</td>\n",
       "      <td>Dick Tracy</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Chester Gould</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Madonna</td>\n",
       "      <td>Al Pacino</td>\n",
       "      <td>Charlie Korsmo</td>\n",
       "      <td>Action</td>\n",
       "      <td>...</td>\n",
       "      <td>$93,060,000.0</td>\n",
       "      <td>1991</td>\n",
       "      <td>63</td>\n",
       "      <td>CINEMATOGRAPHY</td>\n",
       "      <td>Vittorio Storaro</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1990</td>\n",
       "      <td>Dick Tracy</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Chester Gould</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Madonna</td>\n",
       "      <td>Al Pacino</td>\n",
       "      <td>Charlie Korsmo</td>\n",
       "      <td>Action</td>\n",
       "      <td>...</td>\n",
       "      <td>$93,060,000.0</td>\n",
       "      <td>1991</td>\n",
       "      <td>63</td>\n",
       "      <td>COSTUME DESIGN</td>\n",
       "      <td>Milena Canonero</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1990</td>\n",
       "      <td>Dick Tracy</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Chester Gould</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Madonna</td>\n",
       "      <td>Al Pacino</td>\n",
       "      <td>Charlie Korsmo</td>\n",
       "      <td>Action</td>\n",
       "      <td>...</td>\n",
       "      <td>$93,060,000.0</td>\n",
       "      <td>1991</td>\n",
       "      <td>63</td>\n",
       "      <td>MAKEUP</td>\n",
       "      <td>John Caglione, Jr., Doug Drexler</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   year       title       director         writer mpaa   main_actor_1  \\\n",
       "0  1990  Dick Tracy  Warren Beatty  Chester Gould  NaN  Warren Beatty   \n",
       "1  1990  Dick Tracy  Warren Beatty  Chester Gould  NaN  Warren Beatty   \n",
       "2  1990  Dick Tracy  Warren Beatty  Chester Gould  NaN  Warren Beatty   \n",
       "3  1990  Dick Tracy  Warren Beatty  Chester Gould  NaN  Warren Beatty   \n",
       "4  1990  Dick Tracy  Warren Beatty  Chester Gould  NaN  Warren Beatty   \n",
       "\n",
       "  main_actor_2 main_actor_3    main_actor_4 genre_1  ... Adjusted Budget  \\\n",
       "0      Madonna    Al Pacino  Charlie Korsmo  Action  ...   $93,060,000.0   \n",
       "1      Madonna    Al Pacino  Charlie Korsmo  Action  ...   $93,060,000.0   \n",
       "2      Madonna    Al Pacino  Charlie Korsmo  Action  ...   $93,060,000.0   \n",
       "3      Madonna    Al Pacino  Charlie Korsmo  Action  ...   $93,060,000.0   \n",
       "4      Madonna    Al Pacino  Charlie Korsmo  Action  ...   $93,060,000.0   \n",
       "\n",
       "  year_ceremony ceremony                    category  \\\n",
       "0          1991       63  ACTOR IN A SUPPORTING ROLE   \n",
       "1          1991       63               ART DIRECTION   \n",
       "2          1991       63              CINEMATOGRAPHY   \n",
       "3          1991       63              COSTUME DESIGN   \n",
       "4          1991       63                      MAKEUP   \n",
       "\n",
       "                                                name  winner  loser  \\\n",
       "0                                          Al Pacino   False   True   \n",
       "1  Art Direction:  Richard Sylbert;  Set Decorati...    True  False   \n",
       "2                                   Vittorio Storaro   False   True   \n",
       "3                                    Milena Canonero   False   True   \n",
       "4                   John Caglione, Jr., Doug Drexler    True  False   \n",
       "\n",
       "   winner_ct  loser_ct nominees  \n",
       "0          3         4        7  \n",
       "1          3         4        7  \n",
       "2          3         4        7  \n",
       "3          3         4        7  \n",
       "4          3         4        7  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "oscars_df = oscars_df.rename(columns={\"film\":\"title\", 'year_film':'year'})\n",
    "merge = pd.merge(movies_df, oscars_df, how=\"inner\", on=[\"title\", \"year\"])\n",
    "\n",
    "#you wind up with multiple listings for movies with multiple noms\n",
    "#will regroup when we get to movies below\n",
    "merge.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "9d48be96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>Adjusted Worldwide</th>\n",
       "      <th>Adjusted Domestic</th>\n",
       "      <th>Adjusted International</th>\n",
       "      <th>Adjusted Budget</th>\n",
       "      <th>year_ceremony</th>\n",
       "      <th>ceremony</th>\n",
       "      <th>winner</th>\n",
       "      <th>loser</th>\n",
       "      <th>winner_ct</th>\n",
       "      <th>loser_ct</th>\n",
       "      <th>nominees</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Anne Hathaway</th>\n",
       "      <td>2012</td>\n",
       "      <td>$499,245,040.1</td>\n",
       "      <td>$168,155,040.1</td>\n",
       "      <td>$331,090,000.0</td>\n",
       "      <td>$68,930,000.0</td>\n",
       "      <td>2013</td>\n",
       "      <td>85</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casey Affleck</th>\n",
       "      <td>2016</td>\n",
       "      <td>$85,307,199.8</td>\n",
       "      <td>$51,511,000.7</td>\n",
       "      <td>$33,796,199.2</td>\n",
       "      <td>$9,720,000.0</td>\n",
       "      <td>2017</td>\n",
       "      <td>89</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Christian Bale</th>\n",
       "      <td>2010</td>\n",
       "      <td>$153,737,134.1</td>\n",
       "      <td>$111,404,240.7</td>\n",
       "      <td>$42,332,893.4</td>\n",
       "      <td>$29,750,000.0</td>\n",
       "      <td>2011</td>\n",
       "      <td>83</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Christoph Waltz</th>\n",
       "      <td>2012</td>\n",
       "      <td>$480,666,108.9</td>\n",
       "      <td>$183,970,140.4</td>\n",
       "      <td>$296,695,968.5</td>\n",
       "      <td>$113,000,000.0</td>\n",
       "      <td>2013</td>\n",
       "      <td>85</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Colin Firth</th>\n",
       "      <td>2010</td>\n",
       "      <td>$508,575,437.2</td>\n",
       "      <td>$165,168,964.3</td>\n",
       "      <td>$343,406,472.9</td>\n",
       "      <td>$17,850,000.0</td>\n",
       "      <td>2011</td>\n",
       "      <td>83</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Daniel Day-Lewis</th>\n",
       "      <td>2012</td>\n",
       "      <td>$311,081,598.5</td>\n",
       "      <td>$205,895,009.5</td>\n",
       "      <td>$105,186,589.0</td>\n",
       "      <td>$73,450,000.0</td>\n",
       "      <td>2013</td>\n",
       "      <td>85</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eddie Redmayne</th>\n",
       "      <td>2014</td>\n",
       "      <td>$134,862,089.9</td>\n",
       "      <td>$39,123,955.3</td>\n",
       "      <td>$95,738,134.6</td>\n",
       "      <td>$16,350,000.0</td>\n",
       "      <td>2015</td>\n",
       "      <td>87</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Emma Stone</th>\n",
       "      <td>2016</td>\n",
       "      <td>$482,205,121.9</td>\n",
       "      <td>$163,189,947.2</td>\n",
       "      <td>$319,015,174.7</td>\n",
       "      <td>$32,400,000.0</td>\n",
       "      <td>2017</td>\n",
       "      <td>89</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>J.K. Simmons</th>\n",
       "      <td>2014</td>\n",
       "      <td>$53,390,424.7</td>\n",
       "      <td>$14,270,280.0</td>\n",
       "      <td>$39,120,144.7</td>\n",
       "      <td>$3,597,000.0</td>\n",
       "      <td>2015</td>\n",
       "      <td>87</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jared Leto</th>\n",
       "      <td>2013</td>\n",
       "      <td>$61,867,612.7</td>\n",
       "      <td>$30,301,096.4</td>\n",
       "      <td>$31,566,516.3</td>\n",
       "      <td>$5,550,000.0</td>\n",
       "      <td>2014</td>\n",
       "      <td>86</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jean Dujardin</th>\n",
       "      <td>2011</td>\n",
       "      <td>$153,447,784.4</td>\n",
       "      <td>$51,372,434.3</td>\n",
       "      <td>$102,075,350.1</td>\n",
       "      <td>$17,250,000.0</td>\n",
       "      <td>2012</td>\n",
       "      <td>84</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jennifer Lawrence</th>\n",
       "      <td>2012</td>\n",
       "      <td>$267,146,071.9</td>\n",
       "      <td>$149,265,042.5</td>\n",
       "      <td>$117,881,029.3</td>\n",
       "      <td>$23,730,000.0</td>\n",
       "      <td>2013</td>\n",
       "      <td>85</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Joaquin Phoenix</th>\n",
       "      <td>2019</td>\n",
       "      <td>$1,084,993,824.1</td>\n",
       "      <td>$338,805,824.1</td>\n",
       "      <td>$746,188,000.0</td>\n",
       "      <td>$55,550,000.0</td>\n",
       "      <td>2020</td>\n",
       "      <td>92</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Julianne Moore</th>\n",
       "      <td>2014</td>\n",
       "      <td>$48,809,322.6</td>\n",
       "      <td>$20,442,264.4</td>\n",
       "      <td>$28,367,058.2</td>\n",
       "      <td>$5,450,000.0</td>\n",
       "      <td>2015</td>\n",
       "      <td>87</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Leonardo DiCaprio</th>\n",
       "      <td>2015</td>\n",
       "      <td>$580,916,048.3</td>\n",
       "      <td>$200,165,304.5</td>\n",
       "      <td>$380,750,743.8</td>\n",
       "      <td>$147,150,000.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>88</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lupita Nyong'o</th>\n",
       "      <td>2013</td>\n",
       "      <td>$208,383,854.2</td>\n",
       "      <td>$62,905,912.2</td>\n",
       "      <td>$145,477,942.0</td>\n",
       "      <td>$22,200,000.0</td>\n",
       "      <td>2014</td>\n",
       "      <td>86</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mahershala Ali</th>\n",
       "      <td>4034</td>\n",
       "      <td>$408,310,254.4</td>\n",
       "      <td>$117,715,902.7</td>\n",
       "      <td>$290,594,351.8</td>\n",
       "      <td>$28,010,000.0</td>\n",
       "      <td>4036</td>\n",
       "      <td>180</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mark Rylance</th>\n",
       "      <td>2015</td>\n",
       "      <td>$180,371,399.3</td>\n",
       "      <td>$78,821,991.9</td>\n",
       "      <td>$101,549,407.5</td>\n",
       "      <td>$43,600,000.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>88</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Matthew McConaughey</th>\n",
       "      <td>2013</td>\n",
       "      <td>$61,867,612.7</td>\n",
       "      <td>$30,301,096.4</td>\n",
       "      <td>$31,566,516.3</td>\n",
       "      <td>$5,550,000.0</td>\n",
       "      <td>2014</td>\n",
       "      <td>86</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Melissa Leo</th>\n",
       "      <td>2010</td>\n",
       "      <td>$153,737,134.1</td>\n",
       "      <td>$111,404,240.7</td>\n",
       "      <td>$42,332,893.4</td>\n",
       "      <td>$29,750,000.0</td>\n",
       "      <td>2011</td>\n",
       "      <td>83</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Natalie Portman</th>\n",
       "      <td>2010</td>\n",
       "      <td>$391,983,674.7</td>\n",
       "      <td>$127,276,066.8</td>\n",
       "      <td>$264,707,607.9</td>\n",
       "      <td>$15,470,000.0</td>\n",
       "      <td>2011</td>\n",
       "      <td>83</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Octavia Spencer</th>\n",
       "      <td>2011</td>\n",
       "      <td>$249,134,978.8</td>\n",
       "      <td>$195,164,328.8</td>\n",
       "      <td>$53,970,650.0</td>\n",
       "      <td>$28,750,000.0</td>\n",
       "      <td>2012</td>\n",
       "      <td>84</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Patricia Arquette</th>\n",
       "      <td>2014</td>\n",
       "      <td>$52,470,055.9</td>\n",
       "      <td>$27,633,986.3</td>\n",
       "      <td>$24,836,069.7</td>\n",
       "      <td>$4,360,000.0</td>\n",
       "      <td>2015</td>\n",
       "      <td>87</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rami Malek</th>\n",
       "      <td>2018</td>\n",
       "      <td>$930,764,916.8</td>\n",
       "      <td>$222,920,883.3</td>\n",
       "      <td>$707,844,033.5</td>\n",
       "      <td>$53,560,000.0</td>\n",
       "      <td>2019</td>\n",
       "      <td>91</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Viola Davis</th>\n",
       "      <td>2016</td>\n",
       "      <td>$69,567,941.9</td>\n",
       "      <td>$62,297,536.3</td>\n",
       "      <td>$7,270,405.6</td>\n",
       "      <td>$25,920,000.0</td>\n",
       "      <td>2017</td>\n",
       "      <td>89</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     year  Adjusted Worldwide  Adjusted Domestic  \\\n",
       "name                                                               \n",
       "Anne Hathaway        2012      $499,245,040.1     $168,155,040.1   \n",
       "Casey Affleck        2016       $85,307,199.8      $51,511,000.7   \n",
       "Christian Bale       2010      $153,737,134.1     $111,404,240.7   \n",
       "Christoph Waltz      2012      $480,666,108.9     $183,970,140.4   \n",
       "Colin Firth          2010      $508,575,437.2     $165,168,964.3   \n",
       "Daniel Day-Lewis     2012      $311,081,598.5     $205,895,009.5   \n",
       "Eddie Redmayne       2014      $134,862,089.9      $39,123,955.3   \n",
       "Emma Stone           2016      $482,205,121.9     $163,189,947.2   \n",
       "J.K. Simmons         2014       $53,390,424.7      $14,270,280.0   \n",
       "Jared Leto           2013       $61,867,612.7      $30,301,096.4   \n",
       "Jean Dujardin        2011      $153,447,784.4      $51,372,434.3   \n",
       "Jennifer Lawrence    2012      $267,146,071.9     $149,265,042.5   \n",
       "Joaquin Phoenix      2019    $1,084,993,824.1     $338,805,824.1   \n",
       "Julianne Moore       2014       $48,809,322.6      $20,442,264.4   \n",
       "Leonardo DiCaprio    2015      $580,916,048.3     $200,165,304.5   \n",
       "Lupita Nyong'o       2013      $208,383,854.2      $62,905,912.2   \n",
       "Mahershala Ali       4034      $408,310,254.4     $117,715,902.7   \n",
       "Mark Rylance         2015      $180,371,399.3      $78,821,991.9   \n",
       "Matthew McConaughey  2013       $61,867,612.7      $30,301,096.4   \n",
       "Melissa Leo          2010      $153,737,134.1     $111,404,240.7   \n",
       "Natalie Portman      2010      $391,983,674.7     $127,276,066.8   \n",
       "Octavia Spencer      2011      $249,134,978.8     $195,164,328.8   \n",
       "Patricia Arquette    2014       $52,470,055.9      $27,633,986.3   \n",
       "Rami Malek           2018      $930,764,916.8     $222,920,883.3   \n",
       "Viola Davis          2016       $69,567,941.9      $62,297,536.3   \n",
       "\n",
       "                     Adjusted International  Adjusted Budget  year_ceremony  \\\n",
       "name                                                                          \n",
       "Anne Hathaway                $331,090,000.0    $68,930,000.0           2013   \n",
       "Casey Affleck                 $33,796,199.2     $9,720,000.0           2017   \n",
       "Christian Bale                $42,332,893.4    $29,750,000.0           2011   \n",
       "Christoph Waltz              $296,695,968.5   $113,000,000.0           2013   \n",
       "Colin Firth                  $343,406,472.9    $17,850,000.0           2011   \n",
       "Daniel Day-Lewis             $105,186,589.0    $73,450,000.0           2013   \n",
       "Eddie Redmayne                $95,738,134.6    $16,350,000.0           2015   \n",
       "Emma Stone                   $319,015,174.7    $32,400,000.0           2017   \n",
       "J.K. Simmons                  $39,120,144.7     $3,597,000.0           2015   \n",
       "Jared Leto                    $31,566,516.3     $5,550,000.0           2014   \n",
       "Jean Dujardin                $102,075,350.1    $17,250,000.0           2012   \n",
       "Jennifer Lawrence            $117,881,029.3    $23,730,000.0           2013   \n",
       "Joaquin Phoenix              $746,188,000.0    $55,550,000.0           2020   \n",
       "Julianne Moore                $28,367,058.2     $5,450,000.0           2015   \n",
       "Leonardo DiCaprio            $380,750,743.8   $147,150,000.0           2016   \n",
       "Lupita Nyong'o               $145,477,942.0    $22,200,000.0           2014   \n",
       "Mahershala Ali               $290,594,351.8    $28,010,000.0           4036   \n",
       "Mark Rylance                 $101,549,407.5    $43,600,000.0           2016   \n",
       "Matthew McConaughey           $31,566,516.3     $5,550,000.0           2014   \n",
       "Melissa Leo                   $42,332,893.4    $29,750,000.0           2011   \n",
       "Natalie Portman              $264,707,607.9    $15,470,000.0           2011   \n",
       "Octavia Spencer               $53,970,650.0    $28,750,000.0           2012   \n",
       "Patricia Arquette             $24,836,069.7     $4,360,000.0           2015   \n",
       "Rami Malek                   $707,844,033.5    $53,560,000.0           2019   \n",
       "Viola Davis                    $7,270,405.6    $25,920,000.0           2017   \n",
       "\n",
       "                     ceremony  winner  loser  winner_ct  loser_ct  nominees  \n",
       "name                                                                         \n",
       "Anne Hathaway              85       1      0          3         6         9  \n",
       "Casey Affleck              89       1      0          2         4         6  \n",
       "Christian Bale             83       1      0          2         5         7  \n",
       "Christoph Waltz            85       1      0          2         3         5  \n",
       "Colin Firth                83       1      0          4         8        12  \n",
       "Daniel Day-Lewis           85       1      0          2        10        12  \n",
       "Eddie Redmayne             87       1      0          1         4         5  \n",
       "Emma Stone                 89       1      0          6         8        14  \n",
       "J.K. Simmons               87       1      0          3         2         5  \n",
       "Jared Leto                 86       1      0          3         3         6  \n",
       "Jean Dujardin              84       1      0          5         5        10  \n",
       "Jennifer Lawrence          85       1      0          1         7         8  \n",
       "Joaquin Phoenix            92       1      0          2         9        11  \n",
       "Julianne Moore             87       1      0          1         0         1  \n",
       "Leonardo DiCaprio          88       1      0          3         9        12  \n",
       "Lupita Nyong'o             86       1      0          3         6         9  \n",
       "Mahershala Ali            180       2      0          6         7        13  \n",
       "Mark Rylance               88       1      0          1         5         6  \n",
       "Matthew McConaughey        86       1      0          3         3         6  \n",
       "Melissa Leo                83       1      0          2         5         7  \n",
       "Natalie Portman            83       1      0          1         4         5  \n",
       "Octavia Spencer            84       1      0          1         3         4  \n",
       "Patricia Arquette          87       1      0          1         5         6  \n",
       "Rami Malek                 91       1      0          4         1         5  \n",
       "Viola Davis                89       1      0          1         3         4  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#narrow down to films that we have monen info on since 2010\n",
    "merge2= merge.loc[(merge[\"Adjusted Worldwide\"] >0) &(merge['year'] >=2010),:]\n",
    "#merge.head()\n",
    "\n",
    "\n",
    "#added conditional of winner is true\n",
    "just_actors2 = merge2.loc[(merge2['winner'] == True)& (merge2['year'] >=2010)&((merge2['category'] == 'ACTOR IN A SUPPORTING ROLE')|(merge2['category'] == 'ACTRESS IN A SUPPORTING ROLE')|(merge2['category'] == 'ACTOR IN A LEADING ROLE') | (merge2['category'] == 'ACTRESS IN A LEADING ROLE')), :]\n",
    "#merge and sum to account for multiple wins over this time (Mahershala Ali)\n",
    "just_actors2=just_actors2.groupby('name').sum()\n",
    "just_actors2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "b3b566d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#keep this reset for plotting\n",
    "just_actors2=just_actors2.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "2229ddf1",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#bar_chart = just_actors2.plot.bar(x='name', y='Adjusted Worldwide', legend = None)\n",
    "#plt.xticks(rotation = 'vertical')\n",
    "#plt.ylabel('Revenue (USD)')\n",
    "#plt.xlabel(\"Actor/Actress\")\n",
    "#plt.title(\"Oscar Winning Actors vs Revenue since 2010\")\n",
    "#bar_chart.yaxis.set_major_formatter('${x:1,.2f}')\n",
    "#plt.savefig('images_out/oscar_winning_actors-old.png', format = 'png', bbox_inches='tight')\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "5c0ac800",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/michaelraines/opt/anaconda3/envs/PythonData/lib/python3.7/site-packages/ipykernel_launcher.py:34: UserWarning: FixedFormatter should only be used together with FixedLocator\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Setup plot size. (w, h)- this also \n",
    "fig, ax = plt.subplots(figsize=(4,9))\n",
    "\n",
    "# Create grid \n",
    "# Zorder tells it which layer to put it on. We are setting this to 1 and our data to 2 so the grid is behind the data.\n",
    "ax.grid(which=\"major\", axis='x', color='#758D99', alpha=0.6, zorder=1)\n",
    "\n",
    "# Remove splines. Can be done one at a time or can slice with a list.\n",
    "ax.spines[['top','right','bottom']].set_visible(False)\n",
    "\n",
    "# Make left spine slightly thicker\n",
    "ax.spines['left'].set_linewidth(1.1)\n",
    "ax.spines['left'].set_linewidth(1.1)\n",
    "\n",
    "# Setup data\n",
    "actor =just_actors2['name']\n",
    "money = just_actors2['Adjusted Worldwide']/1000000\n",
    "\n",
    "# Plot data\n",
    "ax.barh(actor, money, color='#006BA2', zorder=2)\n",
    "\n",
    "# Set custom labels for x-axis\n",
    "ax.set_xticks([0, 200, 400, 600, 800, 1000])\n",
    "ax.set_xticklabels([0, 200, 400, 600, 800, 1000])\n",
    "\n",
    "# Reformat x-axis tick labels\n",
    "ax.xaxis.set_tick_params(labeltop=True,      # Put x-axis labels on top\n",
    "                         labelbottom=False,  # Set no x-axis labels on bottom\n",
    "                         bottom=False,       # Set no ticks on bottom\n",
    "                         labelsize=11,       # Set tick label size\n",
    "                         pad=-1)             # Lower tick labels a bit\n",
    "\n",
    "# Reformat y-axis tick labels\n",
    "ax.set_yticklabels(actor,ha = 'left')           \n",
    "\n",
    "ax.yaxis.set_tick_params(pad=130,            # Pad tick labels so they don't go over y-axis\n",
    "                         labelsize=11,       # Set label size\n",
    "                         bottom=False)       # Set no ticks on bottom/left\n",
    "\n",
    "\n",
    "# Add in line and tag\n",
    "ax.plot([-.35, .87],                 # Set width of line\n",
    "        [1.02, 1.02],                # Set height of line\n",
    "        transform=fig.transFigure,   # Set location relative to plot\n",
    "        clip_on=False, \n",
    "        color='#E3120B', \n",
    "        linewidth=.6)\n",
    "ax.add_patch(plt.Rectangle((-.35,1.02),                # Set location of rectangle by lower left corder\n",
    "                           0.12,                       # Width of rectangle\n",
    "                           -0.02,                      # Height of rectangle. Negative so it goes down.\n",
    "                           facecolor='#E3120B', \n",
    "                           transform=fig.transFigure, \n",
    "                           clip_on=False, \n",
    "                           linewidth = 0))\n",
    "\n",
    "ax.text(x=-.35, y=.96, s=\"Oscar Winning Actors\", transform=fig.transFigure, ha='left', fontsize=13, weight='bold', alpha=.8)\n",
    "ax.text(x=-.35, y=.925, s=\"Worldwide Revenue, millions of USD\", transform=fig.transFigure, ha='left', fontsize=11, alpha=.8)\n",
    "ax.text(x=-.35, y=.08, s=\"\"\"Best Actor and Actress in Leading and Supporting Role, 2010-2019\"\"\", transform=fig.transFigure, ha='left', fontsize=9, alpha=.7)\n",
    "\n",
    "\n",
    "plt.savefig('images_out/actors.png',    # Set path and filename\n",
    "            dpi = 300,                          # Set dots per inch\n",
    "            bbox_inches=\"tight\",                # Remove extra whitespace around plot\n",
    "            facecolor='white')                  # Set background color to white\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96a2ba5e",
   "metadata": {},
   "source": [
    "# Oscar Winning Films"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "02317a76",
   "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>year</th>\n",
       "      <th>title</th>\n",
       "      <th>director</th>\n",
       "      <th>writer</th>\n",
       "      <th>mpaa</th>\n",
       "      <th>main_actor_1</th>\n",
       "      <th>main_actor_2</th>\n",
       "      <th>main_actor_3</th>\n",
       "      <th>main_actor_4</th>\n",
       "      <th>genre_1</th>\n",
       "      <th>...</th>\n",
       "      <th>Adjusted Budget</th>\n",
       "      <th>year_ceremony</th>\n",
       "      <th>ceremony</th>\n",
       "      <th>category</th>\n",
       "      <th>name</th>\n",
       "      <th>winner</th>\n",
       "      <th>loser</th>\n",
       "      <th>winner_ct</th>\n",
       "      <th>loser_ct</th>\n",
       "      <th>nominees</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1990</td>\n",
       "      <td>Back to the Future Part III</td>\n",
       "      <td>Robert Zemeckis</td>\n",
       "      <td>Robert Zemeckis</td>\n",
       "      <td>0</td>\n",
       "      <td>Michael J. Fox</td>\n",
       "      <td>Christopher Lloyd</td>\n",
       "      <td>Mary Steenburgen</td>\n",
       "      <td>Thomas F. Wilson</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>...</td>\n",
       "      <td>$79,200,000.0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>$0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1990</td>\n",
       "      <td>The Bonfire of the Vanities</td>\n",
       "      <td>Brian De Palma</td>\n",
       "      <td>Michael Cristofer</td>\n",
       "      <td>R</td>\n",
       "      <td>Tom Hanks</td>\n",
       "      <td>Bruce Willis</td>\n",
       "      <td>Melanie Griffith</td>\n",
       "      <td>Kim Cattrall</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>...</td>\n",
       "      <td>$93,060,000.0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>$0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1990</td>\n",
       "      <td>Dances with Wolves</td>\n",
       "      <td>Kevin Costner</td>\n",
       "      <td>Michael Blake</td>\n",
       "      <td>0</td>\n",
       "      <td>Kevin Costner</td>\n",
       "      <td>Mary McDonnell</td>\n",
       "      <td>Graham Greene</td>\n",
       "      <td>Rodney A. Grant</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>...</td>\n",
       "      <td>$43,560,000.0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>$0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1990</td>\n",
       "      <td>Dick Tracy</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Chester Gould</td>\n",
       "      <td>0</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Madonna</td>\n",
       "      <td>Al Pacino</td>\n",
       "      <td>Charlie Korsmo</td>\n",
       "      <td>Action</td>\n",
       "      <td>...</td>\n",
       "      <td>$93,060,000.0</td>\n",
       "      <td>$1,991.0</td>\n",
       "      <td>$63.0</td>\n",
       "      <td>ACTOR IN A SUPPORTING ROLE</td>\n",
       "      <td>Al Pacino</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>$3.0</td>\n",
       "      <td>$4.0</td>\n",
       "      <td>$7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1990</td>\n",
       "      <td>Dick Tracy</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Chester Gould</td>\n",
       "      <td>0</td>\n",
       "      <td>Warren Beatty</td>\n",
       "      <td>Madonna</td>\n",
       "      <td>Al Pacino</td>\n",
       "      <td>Charlie Korsmo</td>\n",
       "      <td>Action</td>\n",
       "      <td>...</td>\n",
       "      <td>$93,060,000.0</td>\n",
       "      <td>$1,991.0</td>\n",
       "      <td>$63.0</td>\n",
       "      <td>ART DIRECTION</td>\n",
       "      <td>Art Direction:  Richard Sylbert;  Set Decorati...</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>$3.0</td>\n",
       "      <td>$4.0</td>\n",
       "      <td>$7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   year                        title         director             writer mpaa  \\\n",
       "0  1990  Back to the Future Part III  Robert Zemeckis    Robert Zemeckis    0   \n",
       "1  1990  The Bonfire of the Vanities   Brian De Palma  Michael Cristofer    R   \n",
       "2  1990           Dances with Wolves    Kevin Costner      Michael Blake    0   \n",
       "3  1990                   Dick Tracy    Warren Beatty      Chester Gould    0   \n",
       "4  1990                   Dick Tracy    Warren Beatty      Chester Gould    0   \n",
       "\n",
       "     main_actor_1       main_actor_2      main_actor_3      main_actor_4  \\\n",
       "0  Michael J. Fox  Christopher Lloyd  Mary Steenburgen  Thomas F. Wilson   \n",
       "1       Tom Hanks       Bruce Willis  Melanie Griffith      Kim Cattrall   \n",
       "2   Kevin Costner     Mary McDonnell     Graham Greene   Rodney A. Grant   \n",
       "3   Warren Beatty            Madonna         Al Pacino    Charlie Korsmo   \n",
       "4   Warren Beatty            Madonna         Al Pacino    Charlie Korsmo   \n",
       "\n",
       "     genre_1  ... Adjusted Budget year_ceremony ceremony  \\\n",
       "0  Adventure  ...   $79,200,000.0          $0.0     $0.0   \n",
       "1     Comedy  ...   $93,060,000.0          $0.0     $0.0   \n",
       "2  Adventure  ...   $43,560,000.0          $0.0     $0.0   \n",
       "3     Action  ...   $93,060,000.0      $1,991.0    $63.0   \n",
       "4     Action  ...   $93,060,000.0      $1,991.0    $63.0   \n",
       "\n",
       "                     category  \\\n",
       "0                           0   \n",
       "1                           0   \n",
       "2                           0   \n",
       "3  ACTOR IN A SUPPORTING ROLE   \n",
       "4               ART DIRECTION   \n",
       "\n",
       "                                                name  winner  loser  \\\n",
       "0                                                  0       0      0   \n",
       "1                                                  0       0      0   \n",
       "2                                                  0       0      0   \n",
       "3                                          Al Pacino   False   True   \n",
       "4  Art Direction:  Richard Sylbert;  Set Decorati...    True  False   \n",
       "\n",
       "   winner_ct  loser_ct nominees  \n",
       "0       $0.0      $0.0     $0.0  \n",
       "1       $0.0      $0.0     $0.0  \n",
       "2       $0.0      $0.0     $0.0  \n",
       "3       $3.0      $4.0     $7.0  \n",
       "4       $3.0      $4.0     $7.0  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#merge oscars df with all movies outer to include non winners\n",
    "mergeall=pd.merge(movies_df, oscars_df, how=\"outer\", on=[\"title\", \"year\"])\n",
    "#change NaN to 0 to get 0 for the non nominated movies instead of NaN \n",
    "mergeall=mergeall.fillna(0)\n",
    "mergeall.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "e02ab049",
   "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>winner_ct</th>\n",
       "      <th>nominees</th>\n",
       "      <th>Adjusted Worldwide</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10 Things I Hate About You</th>\n",
       "      <td>$0.0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>$82,891,157.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10,000 BC</th>\n",
       "      <td>$0.0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>$323,741,041.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102 Dalmatians</th>\n",
       "      <td>$0.0</td>\n",
       "      <td>$1.0</td>\n",
       "      <td>$275,417,656.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10th &amp; Wolf</th>\n",
       "      <td>$0.0</td>\n",
       "      <td>$0.0</td>\n",
       "      <td>$183,617.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12 Years a Slave</th>\n",
       "      <td>$3.0</td>\n",
       "      <td>$9.0</td>\n",
       "      <td>$208,383,854.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            winner_ct  nominees  Adjusted Worldwide\n",
       "title                                                              \n",
       "10 Things I Hate About You       $0.0      $0.0       $82,891,157.3\n",
       "10,000 BC                        $0.0      $0.0      $323,741,041.2\n",
       "102 Dalmatians                   $0.0      $1.0      $275,417,656.5\n",
       "10th & Wolf                      $0.0      $0.0          $183,617.3\n",
       "12 Years a Slave                 $3.0      $9.0      $208,383,854.2"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#groupby title to remove the films that have duplpicate entries due to oscar info\n",
    "film_ct = mergeall[['title','winner_ct',\"nominees\", \"Adjusted Worldwide\"]].groupby(\"title\").mean()\n",
    "#only include movies that we have Worldwide income for\n",
    "film_ct= film_ct.loc[(film_ct[\"Adjusted Worldwide\"] >0)]\n",
    "film_ct.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "2c39537b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#group films based on oscar results \n",
    "noms=film_ct.loc[film_ct['nominees'] >0,:]\n",
    "multinoms=film_ct.loc[film_ct['nominees'] >1,:]\n",
    "winners=film_ct.loc[film_ct['winner_ct'] >0,:]\n",
    "multiwin=film_ct.loc[film_ct['winner_ct'] >1,:]\n",
    "losers=film_ct.loc[film_ct['nominees'] == 0,:]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "eea386c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#First set variables for plot, calling on filtered groups above\n",
    "datasets=[losers[\"Adjusted Worldwide\"]/1000000, \n",
    "          noms[\"Adjusted Worldwide\"]/1000000, \n",
    "          multinoms[\"Adjusted Worldwide\"]/1000000, \n",
    "          winners[\"Adjusted Worldwide\"]/1000000, \n",
    "          multiwin[\"Adjusted Worldwide\"]/1000000]\n",
    "labels = ['No Nominees','One Nominee', 'Multiple Nominees', 'One Winner', \"Multiple Winners\"]\n",
    "\n",
    "#set variable & size for plot \n",
    "fig1, ax1 = plt.subplots(figsize=(10,6))\n",
    "\n",
    "# Add in line and tag\n",
    "ax1.plot([.1, .87],                 # Set width of line\n",
    "        [1.02, 1.02],                # Set height of line\n",
    "        transform=fig1.transFigure,   # Set location relative to plot\n",
    "        clip_on=False, \n",
    "        color='#E3120B', \n",
    "        linewidth=.6)\n",
    "ax1.add_patch(plt.Rectangle((.1,1.02),                # Set location of rectangle by lower left corder\n",
    "                           0.12,                       # Width of rectangle\n",
    "                           -0.02,                      # Height of rectangle. Negative so it goes down.\n",
    "                           facecolor='#E3120B', \n",
    "                           transform=fig1.transFigure, \n",
    "                           clip_on=False, \n",
    "                           linewidth = 0))\n",
    "\n",
    "\n",
    "\n",
    "#Add Tiitle and subtitle\n",
    "ax1.text(x=.1, y=.95, s=\"Oscar Impact \", transform=fig1.transFigure, ha='left', fontsize=13, weight='bold', alpha=.8)\n",
    "ax1.text(x=.1, y=.91, s=\"Oscars nominations and winners, in millions\", transform=fig1.transFigure, ha='left', fontsize=11, alpha=.8)\n",
    "\n",
    "# Remove splines. Can be done one at a time or can slice with a list.\n",
    "ax1.spines[['top','right','bottom']].set_visible(False)\n",
    "\n",
    "# Create grid \n",
    "# Zorder tells it which layer to put it on. We are setting this to 1 and our data to 2 so the grid is behind the data.\n",
    "ax1.grid(which=\"major\", axis='y', color='#758D99', alpha=0.6, zorder=1)\n",
    "\n",
    "# Make left spine slightly thicker\n",
    "ax1.spines['left'].set_linewidth(1.1)\n",
    "ax1.spines['left'].set_linewidth(1.1)\n",
    "\n",
    "#Plot it\n",
    "ax1.boxplot(datasets, labels=labels,patch_artist=True,showfliers=False, zorder=2)\n",
    "\n",
    "#add lower text\n",
    "ax1.text(x=.1, y=0.01, s=\"\"\"All categories since 2010\"\"\", transform=fig1.transFigure, ha='left', fontsize=9, alpha=.7)\n",
    "\n",
    "\n",
    "\n",
    "plt.savefig(\"images_out/Boxplot.png\",dpi = 300,                          # Set dots per inch\n",
    "            bbox_inches=\"tight\",                # Remove extra whitespace around plot\n",
    "            facecolor='white')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce368b8d",
   "metadata": {},
   "source": [
    "# Oscar Pies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "6551ef87",
   "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>title</th>\n",
       "      <th>rating</th>\n",
       "      <th>genre</th>\n",
       "      <th>year</th>\n",
       "      <th>score</th>\n",
       "      <th>budget</th>\n",
       "      <th>gross</th>\n",
       "      <th>runtime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>The Shining</td>\n",
       "      <td>R</td>\n",
       "      <td>Drama</td>\n",
       "      <td>1980</td>\n",
       "      <td>$8.4</td>\n",
       "      <td>$19,000,000.0</td>\n",
       "      <td>$46,998,772.0</td>\n",
       "      <td>$146.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The Blue Lagoon</td>\n",
       "      <td>R</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>1980</td>\n",
       "      <td>$5.8</td>\n",
       "      <td>$4,500,000.0</td>\n",
       "      <td>$58,853,106.0</td>\n",
       "      <td>$104.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Star Wars: Episode V - The Empire Strikes Back</td>\n",
       "      <td>PG</td>\n",
       "      <td>Action</td>\n",
       "      <td>1980</td>\n",
       "      <td>$8.7</td>\n",
       "      <td>$18,000,000.0</td>\n",
       "      <td>$538,375,067.0</td>\n",
       "      <td>$124.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Airplane!</td>\n",
       "      <td>PG</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>1980</td>\n",
       "      <td>$7.7</td>\n",
       "      <td>$3,500,000.0</td>\n",
       "      <td>$83,453,539.0</td>\n",
       "      <td>$88.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Caddyshack</td>\n",
       "      <td>R</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>1980</td>\n",
       "      <td>$7.3</td>\n",
       "      <td>$6,000,000.0</td>\n",
       "      <td>$39,846,344.0</td>\n",
       "      <td>$98.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            title rating      genre  year  \\\n",
       "0                                     The Shining      R      Drama  1980   \n",
       "1                                 The Blue Lagoon      R  Adventure  1980   \n",
       "2  Star Wars: Episode V - The Empire Strikes Back     PG     Action  1980   \n",
       "3                                       Airplane!     PG     Comedy  1980   \n",
       "4                                      Caddyshack      R     Comedy  1980   \n",
       "\n",
       "   score        budget          gross  runtime  \n",
       "0   $8.4 $19,000,000.0  $46,998,772.0   $146.0  \n",
       "1   $5.8  $4,500,000.0  $58,853,106.0   $104.0  \n",
       "2   $8.7 $18,000,000.0 $538,375,067.0   $124.0  \n",
       "3   $7.7  $3,500,000.0  $83,453,539.0    $88.0  \n",
       "4   $7.3  $6,000,000.0  $39,846,344.0    $98.0  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "cleaned = pd.read_csv('resources/movies_clean.csv')\n",
    "cleaned=cleaned.rename(columns={\"name\":\"title\"})\n",
    "cleaned.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "623a8cb9",
   "metadata": {},
   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <td>1980</td>\n",
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       "      <td>Raging Bull</td>\n",
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       "      <td>1980</td>\n",
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       "      <td>1980</td>\n",
       "      <td>1981</td>\n",
       "      <td>53</td>\n",
       "      <td>CINEMATOGRAPHY</td>\n",
       "      <td>Michael Chapman</td>\n",
       "      <td>Raging Bull</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
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       "      <th>4</th>\n",
       "      <td>1980</td>\n",
       "      <td>1981</td>\n",
       "      <td>53</td>\n",
       "      <td>DIRECTING</td>\n",
       "      <td>Martin Scorsese</td>\n",
       "      <td>Raging Bull</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
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      ],
      "text/plain": [
       "   year  year_ceremony  ceremony                      category  \\\n",
       "0  1980           1981        53       ACTOR IN A LEADING ROLE   \n",
       "1  1980           1981        53    ACTOR IN A SUPPORTING ROLE   \n",
       "2  1980           1981        53  ACTRESS IN A SUPPORTING ROLE   \n",
       "3  1980           1981        53                CINEMATOGRAPHY   \n",
       "4  1980           1981        53                     DIRECTING   \n",
       "\n",
       "              name        title  winner  loser  winner_ct  loser_ct  nominees  \n",
       "0   Robert De Niro  Raging Bull    True  False          2         6         8  \n",
       "1        Joe Pesci  Raging Bull   False   True          2         6         8  \n",
       "2   Cathy Moriarty  Raging Bull   False   True          2         6         8  \n",
       "3  Michael Chapman  Raging Bull   False   True          2         6         8  \n",
       "4  Martin Scorsese  Raging Bull   False   True          2         6         8  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "oscars_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "25fc711b",
   "metadata": {},
   "outputs": [
    {
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       "      <td>ACTRESS IN A SUPPORTING ROLE</td>\n",
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       "      <th>3142</th>\n",
       "      <td>A Beautiful Day in the Neighborhood</td>\n",
       "      <td>PG</td>\n",
       "      <td>Biography</td>\n",
       "      <td>2019</td>\n",
       "      <td>$7.3</td>\n",
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       "      <td>$109.0</td>\n",
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       "      <td>$7.5</td>\n",
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       "      <td>$104.0</td>\n",
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       "      <td>92</td>\n",
       "      <td>ANIMATED FEATURE FILM</td>\n",
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       "      <td>False</td>\n",
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       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "      <td>Maleficent: Mistress of Evil</td>\n",
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       "      <td>$6.6</td>\n",
       "      <td>$185,000,000.0</td>\n",
       "      <td>$491,730,089.0</td>\n",
       "      <td>$119.0</td>\n",
       "      <td>2020</td>\n",
       "      <td>92</td>\n",
       "      <td>MAKEUP AND HAIRSTYLING</td>\n",
       "      <td>Paul Gooch, Arjen Tuiten and David White</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3145</th>\n",
       "      <td>Missing Link</td>\n",
       "      <td>PG</td>\n",
       "      <td>Animation</td>\n",
       "      <td>2019</td>\n",
       "      <td>$6.7</td>\n",
       "      <td>$100,000,000.0</td>\n",
       "      <td>$26,565,710.0</td>\n",
       "      <td>$93.0</td>\n",
       "      <td>2020</td>\n",
       "      <td>92</td>\n",
       "      <td>ANIMATED FEATURE FILM</td>\n",
       "      <td>Chris Butler, Arianne Sutner and Travis Knight</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
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       "      <td>Breakthrough</td>\n",
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       "      <td>Biography</td>\n",
       "      <td>2019</td>\n",
       "      <td>$6.3</td>\n",
       "      <td>$14,000,000.0</td>\n",
       "      <td>$50,444,358.0</td>\n",
       "      <td>$116.0</td>\n",
       "      <td>2020</td>\n",
       "      <td>92</td>\n",
       "      <td>MUSIC (Original Song)</td>\n",
       "      <td>Music and Lyric by Diane Warren</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3147 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           title rating      genre  year  \\\n",
       "0                                The Blue Lagoon      R  Adventure  1980   \n",
       "1                                    Raging Bull      R  Biography  1980   \n",
       "2                                    Raging Bull      R  Biography  1980   \n",
       "3                                    Raging Bull      R  Biography  1980   \n",
       "4                                    Raging Bull      R  Biography  1980   \n",
       "...                                          ...    ...        ...   ...   \n",
       "3142         A Beautiful Day in the Neighborhood     PG  Biography  2019   \n",
       "3143  How to Train Your Dragon: The Hidden World     PG  Animation  2019   \n",
       "3144                Maleficent: Mistress of Evil     PG  Adventure  2019   \n",
       "3145                                Missing Link     PG  Animation  2019   \n",
       "3146                                Breakthrough     PG  Biography  2019   \n",
       "\n",
       "      score         budget          gross  runtime  year_ceremony  ceremony  \\\n",
       "0      $5.8   $4,500,000.0  $58,853,106.0   $104.0           1981        53   \n",
       "1      $8.2  $18,000,000.0  $23,402,427.0   $129.0           1981        53   \n",
       "2      $8.2  $18,000,000.0  $23,402,427.0   $129.0           1981        53   \n",
       "3      $8.2  $18,000,000.0  $23,402,427.0   $129.0           1981        53   \n",
       "4      $8.2  $18,000,000.0  $23,402,427.0   $129.0           1981        53   \n",
       "...     ...            ...            ...      ...            ...       ...   \n",
       "3142   $7.3  $25,000,000.0  $67,760,877.0   $109.0           2020        92   \n",
       "3143   $7.5 $129,000,000.0 $525,683,457.0   $104.0           2020        92   \n",
       "3144   $6.6 $185,000,000.0 $491,730,089.0   $119.0           2020        92   \n",
       "3145   $6.7 $100,000,000.0  $26,565,710.0    $93.0           2020        92   \n",
       "3146   $6.3  $14,000,000.0  $50,444,358.0   $116.0           2020        92   \n",
       "\n",
       "                          category  \\\n",
       "0                   CINEMATOGRAPHY   \n",
       "1          ACTOR IN A LEADING ROLE   \n",
       "2       ACTOR IN A SUPPORTING ROLE   \n",
       "3     ACTRESS IN A SUPPORTING ROLE   \n",
       "4                   CINEMATOGRAPHY   \n",
       "...                            ...   \n",
       "3142    ACTOR IN A SUPPORTING ROLE   \n",
       "3143         ANIMATED FEATURE FILM   \n",
       "3144        MAKEUP AND HAIRSTYLING   \n",
       "3145         ANIMATED FEATURE FILM   \n",
       "3146         MUSIC (Original Song)   \n",
       "\n",
       "                                                name  winner  loser  \\\n",
       "0                                   Nestor Almendros   False   True   \n",
       "1                                     Robert De Niro    True  False   \n",
       "2                                          Joe Pesci   False   True   \n",
       "3                                     Cathy Moriarty   False   True   \n",
       "4                                    Michael Chapman   False   True   \n",
       "...                                              ...     ...    ...   \n",
       "3142                                       Tom Hanks   False   True   \n",
       "3143  Dean DeBlois, Bradford Lewis and Bonnie Arnold   False   True   \n",
       "3144        Paul Gooch, Arjen Tuiten and David White   False   True   \n",
       "3145  Chris Butler, Arianne Sutner and Travis Knight   False   True   \n",
       "3146                 Music and Lyric by Diane Warren   False   True   \n",
       "\n",
       "      winner_ct  loser_ct  nominees  \n",
       "0             0         1         1  \n",
       "1             2         6         8  \n",
       "2             2         6         8  \n",
       "3             2         6         8  \n",
       "4             2         6         8  \n",
       "...         ...       ...       ...  \n",
       "3142          0         1         1  \n",
       "3143          0         1         1  \n",
       "3144          0         1         1  \n",
       "3145          0         1         1  \n",
       "3146          0         1         1  \n",
       "\n",
       "[3147 rows x 17 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_merge = pd.merge(cleaned, oscars_df , on=[\"title\", \"year\"])\n",
    "new_merge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "87321077",
   "metadata": {},
   "outputs": [
    {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>rating</th>\n",
       "      <th>genre</th>\n",
       "      <th>year</th>\n",
       "      <th>score</th>\n",
       "      <th>budget</th>\n",
       "      <th>gross</th>\n",
       "      <th>runtime</th>\n",
       "      <th>year_ceremony</th>\n",
       "      <th>ceremony</th>\n",
       "      <th>category</th>\n",
       "      <th>name</th>\n",
       "      <th>winner</th>\n",
       "      <th>loser</th>\n",
       "      <th>winner_ct</th>\n",
       "      <th>loser_ct</th>\n",
       "      <th>nominees</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2933</th>\n",
       "      <td>Dunkirk</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>Action</td>\n",
       "      <td>2017</td>\n",
       "      <td>$7.8</td>\n",
       "      <td>$100,000,000.0</td>\n",
       "      <td>$527,016,307.0</td>\n",
       "      <td>$106.0</td>\n",
       "      <td>2018</td>\n",
       "      <td>90</td>\n",
       "      <td>BEST PICTURE</td>\n",
       "      <td>Emma Thomas and Christopher Nolan, Producers</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2927</th>\n",
       "      <td>Get Out</td>\n",
       "      <td>R</td>\n",
       "      <td>Horror</td>\n",
       "      <td>2017</td>\n",
       "      <td>$7.7</td>\n",
       "      <td>$4,500,000.0</td>\n",
       "      <td>$255,589,157.0</td>\n",
       "      <td>$104.0</td>\n",
       "      <td>2018</td>\n",
       "      <td>90</td>\n",
       "      <td>BEST PICTURE</td>\n",
       "      <td>Sean McKittrick, Jason Blum, Edward H. Hamm Jr...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2953</th>\n",
       "      <td>The Shape of Water</td>\n",
       "      <td>R</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>2017</td>\n",
       "      <td>$7.3</td>\n",
       "      <td>$19,400,000.0</td>\n",
       "      <td>$195,333,312.0</td>\n",
       "      <td>$123.0</td>\n",
       "      <td>2018</td>\n",
       "      <td>90</td>\n",
       "      <td>BEST PICTURE</td>\n",
       "      <td>Guillermo del Toro and J. Miles Dale, Producers</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2982</th>\n",
       "      <td>The Post</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>Drama</td>\n",
       "      <td>2017</td>\n",
       "      <td>$7.2</td>\n",
       "      <td>$50,000,000.0</td>\n",
       "      <td>$180,419,231.0</td>\n",
       "      <td>$116.0</td>\n",
       "      <td>2018</td>\n",
       "      <td>90</td>\n",
       "      <td>BEST PICTURE</td>\n",
       "      <td>Amy Pascal, Steven Spielberg and Kristie Macos...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2912</th>\n",
       "      <td>Darkest Hour</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>Biography</td>\n",
       "      <td>2017</td>\n",
       "      <td>$7.4</td>\n",
       "      <td>$30,000,000.0</td>\n",
       "      <td>$150,847,274.0</td>\n",
       "      <td>$125.0</td>\n",
       "      <td>2018</td>\n",
       "      <td>90</td>\n",
       "      <td>BEST PICTURE</td>\n",
       "      <td>Tim Bevan, Eric Fellner, Lisa Bruce, Anthony M...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   title rating      genre  year  score         budget  \\\n",
       "2933             Dunkirk  PG-13     Action  2017   $7.8 $100,000,000.0   \n",
       "2927             Get Out      R     Horror  2017   $7.7   $4,500,000.0   \n",
       "2953  The Shape of Water      R  Adventure  2017   $7.3  $19,400,000.0   \n",
       "2982            The Post  PG-13      Drama  2017   $7.2  $50,000,000.0   \n",
       "2912        Darkest Hour  PG-13  Biography  2017   $7.4  $30,000,000.0   \n",
       "\n",
       "              gross  runtime  year_ceremony  ceremony      category  \\\n",
       "2933 $527,016,307.0   $106.0           2018        90  BEST PICTURE   \n",
       "2927 $255,589,157.0   $104.0           2018        90  BEST PICTURE   \n",
       "2953 $195,333,312.0   $123.0           2018        90  BEST PICTURE   \n",
       "2982 $180,419,231.0   $116.0           2018        90  BEST PICTURE   \n",
       "2912 $150,847,274.0   $125.0           2018        90  BEST PICTURE   \n",
       "\n",
       "                                                   name  winner  loser  \\\n",
       "2933       Emma Thomas and Christopher Nolan, Producers   False   True   \n",
       "2927  Sean McKittrick, Jason Blum, Edward H. Hamm Jr...   False   True   \n",
       "2953    Guillermo del Toro and J. Miles Dale, Producers    True  False   \n",
       "2982  Amy Pascal, Steven Spielberg and Kristie Macos...   False   True   \n",
       "2912  Tim Bevan, Eric Fellner, Lisa Bruce, Anthony M...   False   True   \n",
       "\n",
       "      winner_ct  loser_ct  nominees  \n",
       "2933          3         5         8  \n",
       "2927          1         3         4  \n",
       "2953          4         9        13  \n",
       "2982          0         2         2  \n",
       "2912          2         4         6  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_pictures = new_merge.loc[(new_merge['year'] ==2017)&((new_merge['category'] == 'BEST PICTURE')), :].sort_values('gross', ascending = False).head(5)\n",
    "best_pictures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "1b439b5a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "best_pictures = new_merge.loc[(new_merge['year'] ==2017)&((new_merge['category'] == 'BEST PICTURE')), :].sort_values('gross', ascending = False).head(5)\n",
    "#best_pictures\n",
    "\n",
    "#set custom colors for our plots, will use in all cells below\n",
    "colors=['#006BA2','#3EBCD2','#379A8B', '#9A607F','#EBB434']\n",
    "\n",
    "#set variable & size for plot (square in this case since we have a circle to go into it)\n",
    "fig1, ax1 = plt.subplots(figsize=(8,8))\n",
    "\n",
    "\n",
    "# Add in line and tag\n",
    "ax1.plot([.1, .87],                 # Set width of line\n",
    "        [1.02, 1.02],                # Set height of line\n",
    "        transform=fig1.transFigure,   # Set location relative to plot\n",
    "        clip_on=False, \n",
    "        color='#E3120B', \n",
    "        linewidth=.6)\n",
    "ax1.add_patch(plt.Rectangle((.1,1.02),                # Set location of rectangle by lower left corder\n",
    "                           0.12,                       # Width of rectangle\n",
    "                           -0.02,                      # Height of rectangle. Negative so it goes down.\n",
    "                           facecolor='#E3120B', \n",
    "                           transform=fig1.transFigure, \n",
    "                           clip_on=False, \n",
    "                           linewidth = 0))\n",
    "\n",
    "#hide the square that we are dropping the pie plot into\n",
    "#this allows us to have consistent \"branding\" of graphics\n",
    "ax1.spines[['top','right','bottom', 'left']].set_visible(False)\n",
    "\n",
    "#Add Tiitle and subtitle\n",
    "ax1.text(x=.1, y=.95, s=\"Oscar Winning Pictures 2018\", transform=fig1.transFigure, ha='left', fontsize=13, weight='bold', alpha=.8)\n",
    "ax1.text(x=.1, y=.91, s=\"Revenue of Five Highest Grossing Nominated Pictures of the Year\", transform=fig1.transFigure, ha='left', fontsize=11, alpha=.8)\n",
    "\n",
    "#Plot it\n",
    "ax1.pie(best_pictures['gross'],labels=best_pictures['title'],labeldistance=.3, explode = [0,0,.1,0,0], \n",
    "        colors=colors, startangle=90, shadow=True,rotatelabels=True)\n",
    "\n",
    "#add lower text\n",
    "ax1.text(x=.1, y=0.25, s=\"\"\"Films Released in 2017\"\"\", transform=fig1.transFigure, ha='left', fontsize=9, alpha=.7)\n",
    "\n",
    "\n",
    "\n",
    "#explode = [0,0,.1,0,0]explode = [0,0,.1,0,0]\n",
    "#best_pictures.set_index('title').plot.pie(y='gross', legend=False, explode = explode, startangle=90, shadow=True,autopct='%1.2f%%')\n",
    "#plt.axis('equal')\n",
    "#plt.ylabel('Percentage of Revenue')\n",
    "#plt.title(\"2018 Oscars Top 5 Grossing Best Picture Nominees\")\n",
    "plt.savefig('images_out/2018_Oscars.png',dpi = 300,                          # Set dots per inch\n",
    "            bbox_inches=\"tight\",                # Remove extra whitespace around plot\n",
    "            facecolor='white')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "808efa63",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#get our data to plot\n",
    "best_pictures18 = new_merge.loc[(new_merge['year'] ==2018)&((new_merge['category'] == 'BEST PICTURE')), :].sort_values('gross', ascending = False).head(5)\n",
    "\n",
    "#set variable & size for plot \n",
    "fig1, ax1 = plt.subplots(figsize=(8,8))\n",
    "\n",
    "# Add in line and tag\n",
    "ax1.plot([.1, .87],                 # Set width of line\n",
    "        [1.02, 1.02],                # Set height of line\n",
    "        transform=fig1.transFigure,   # Set location relative to plot\n",
    "        clip_on=False, \n",
    "        color='#E3120B', \n",
    "        linewidth=.6)\n",
    "ax1.add_patch(plt.Rectangle((.1,1.02),                # Set location of rectangle by lower left corder\n",
    "                           0.12,                       # Width of rectangle\n",
    "                           -0.02,                      # Height of rectangle. Negative so it goes down.\n",
    "                           facecolor='#E3120B', \n",
    "                           transform=fig1.transFigure, \n",
    "                           clip_on=False, \n",
    "                           linewidth = 0))\n",
    "\n",
    "#hide the square that we are dropping the pie plot into\n",
    "#this allows us to have consistent \"branding\" of graphics\n",
    "ax1.spines[['top','right','bottom', 'left']].set_visible(False)\n",
    "\n",
    "#Add Tiitle and subtitle\n",
    "ax1.text(x=.1, y=.95, s=\"Oscar Winning Pictures 2019\", transform=fig1.transFigure, ha='left', fontsize=13, weight='bold', alpha=.8)\n",
    "ax1.text(x=.1, y=.91, s=\"Revenue of Five Highest Grossing Nominated Pictures of the Year\", transform=fig1.transFigure, ha='left', fontsize=11, alpha=.8)\n",
    "\n",
    "#Plot it\n",
    "ax1.pie(best_pictures18['gross'],labels=best_pictures18['title'],labeldistance=.3, explode = [0,0,0,.1,0], \n",
    "        colors=colors, startangle=90, shadow=True,rotatelabels=True)\n",
    "\n",
    "#add lower text\n",
    "ax1.text(x=.1, y=0.25, s=\"\"\"Films Released in 2018\"\"\", transform=fig1.transFigure, ha='left', fontsize=9, alpha=.7)\n",
    "\n",
    "\n",
    "\n",
    "#explode = [0,0,0,.1,0]\n",
    "#best_pictures.set_index('title').plot.pie(y='gross', legend=False, explode = explode, startangle=90, shadow=True,autopct='%1.2f%%')\n",
    "#plt.axis('equal')\n",
    "#plt.ylabel('Percentage of Revenue')\n",
    "#plt.title(\"2019 Oscars Top 5 Grossing Best Picture Nominees\")\n",
    "plt.savefig('images_out/2019_Oscars.png', dpi = 300,                          # Set dots per inch\n",
    "            bbox_inches=\"tight\",                # Remove extra whitespace around plot\n",
    "            facecolor='white')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "0d945e33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#get our data to plot\n",
    "best_pictures19 = new_merge.loc[(new_merge['year'] ==2019)&((new_merge['category'] == 'BEST PICTURE')), :].sort_values('gross', ascending = False).head(5)\n",
    "\n",
    "#set variable & size for plot \n",
    "fig1, ax1 = plt.subplots(figsize=(8,8))\n",
    "\n",
    "# Add in line and tag\n",
    "ax1.plot([.1, .87],                 # Set width of line\n",
    "        [1.02, 1.02],                # Set height of line\n",
    "        transform=fig1.transFigure,   # Set location relative to plot\n",
    "        clip_on=False, \n",
    "        color='#E3120B', \n",
    "        linewidth=.6)\n",
    "ax1.add_patch(plt.Rectangle((.1,1.02),                # Set location of rectangle by lower left corder\n",
    "                           0.12,                       # Width of rectangle\n",
    "                           -0.02,                      # Height of rectangle. Negative so it goes down.\n",
    "                           facecolor='#E3120B', \n",
    "                           transform=fig1.transFigure, \n",
    "                           clip_on=False, \n",
    "                           linewidth = 0))\n",
    "\n",
    "#hide the square that we are dropping the pie plot into\n",
    "#this allows us to have consistent \"branding\" of graphics\n",
    "ax1.spines[['top','right','bottom', 'left']].set_visible(False)\n",
    "\n",
    "#Add Tiitle and subtitle\n",
    "ax1.text(x=.1, y=.95, s=\"Oscar Winning Pictures 2020\", transform=fig1.transFigure, ha='left', fontsize=13, weight='bold', alpha=.8)\n",
    "ax1.text(x=.1, y=.91, s=\"Revenue of Five Highest Grossing Nominated Pictures of the Year\", transform=fig1.transFigure, ha='left', fontsize=11, alpha=.8)\n",
    "\n",
    "#Plot it\n",
    "ax1.pie(best_pictures19['gross'],labels=best_pictures19['title'],labeldistance=.3, explode = [0,0,.1,0,0], \n",
    "        colors=colors, startangle=90, shadow=True,rotatelabels=True)\n",
    "\n",
    "#add lower text\n",
    "ax1.text(x=.1, y=0.25, s=\"\"\"Films Released in 2019\"\"\", transform=fig1.transFigure, ha='left', fontsize=9, alpha=.7)\n",
    "#explode = [0,0,.1,0,0]\n",
    "#best_pictures.set_index('title').plot.pie(y='gross', legend=False, explode = explode, startangle=90, shadow=True,autopct='%1.2f%%')\n",
    "#plt.axis('equal')\n",
    "#plt.ylabel('Percentage of Revenue')\n",
    "#plt.title(\"2020 Oscars Top 5 Grossing Best Picture Nominees\")\n",
    "plt.savefig('images_out/2020_Oscars.png', dpi = 300,                          # Set dots per inch\n",
    "            bbox_inches=\"tight\",                # Remove extra whitespace around plot\n",
    "            facecolor='white')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "46d5c4ab",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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