IMDB Queries Part 2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "80938418",
   "metadata": {},
   "source": [
    "## Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "c77adcff",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import Libraries:\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as py\n",
    "import time, math \n",
    "import tmdbsimple as tmdb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "0b8e8a65",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['api-key'])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import JSON \n",
    "\n",
    "import json\n",
    "with open('/Users/jnate/.secret/tmdb_api.json', 'r') as f:\n",
    "    login = json.load(f)\n",
    "## Display the keys of the loaded dict:\n",
    "login.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34a55cb9",
   "metadata": {},
   "source": [
    "Each year should be saved as a separate .csv.gz file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "6d91fcf5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load API key:\n",
    "\n",
    "tmdb.API_KEY =  login['api-key']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "61f160ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make a movie object using the .Movies function from tmdb\n",
    "movie = tmdb.Movies(603)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "d9566961",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'adult': False,\n",
       " 'backdrop_path': '/y9wuhlrqSHvhTLNVNwKMKe6HZzY.jpg',\n",
       " 'belongs_to_collection': {'id': 2344,\n",
       "  'name': 'The Matrix Collection',\n",
       "  'poster_path': '/bV9qTVHTVf0gkW0j7p7M0ILD4pG.jpg',\n",
       "  'backdrop_path': '/bRm2DEgUiYciDw3myHuYFInD7la.jpg'},\n",
       " 'budget': 63000000,\n",
       " 'genres': [{'id': 28, 'name': 'Action'},\n",
       "  {'id': 878, 'name': 'Science Fiction'}],\n",
       " 'homepage': 'http://www.warnerbros.com/matrix',\n",
       " 'id': 603,\n",
       " 'imdb_id': 'tt0133093',\n",
       " 'original_language': 'en',\n",
       " 'original_title': 'The Matrix',\n",
       " 'overview': 'Set in the 22nd century, The Matrix tells the story of a computer hacker who joins a group of underground insurgents fighting the vast and powerful computers who now rule the earth.',\n",
       " 'popularity': 65.366,\n",
       " 'poster_path': '/f89U3ADr1oiB1s9GkdPOEpXUk5H.jpg',\n",
       " 'production_companies': [{'id': 79,\n",
       "   'logo_path': '/tpFpsqbleCzEE2p5EgvUq6ozfCA.png',\n",
       "   'name': 'Village Roadshow Pictures',\n",
       "   'origin_country': 'US'},\n",
       "  {'id': 174,\n",
       "   'logo_path': '/IuAlhI9eVC9Z8UQWOIDdWRKSEJ.png',\n",
       "   'name': 'Warner Bros. Pictures',\n",
       "   'origin_country': 'US'},\n",
       "  {'id': 372,\n",
       "   'logo_path': None,\n",
       "   'name': 'Groucho II Film Partnership',\n",
       "   'origin_country': ''},\n",
       "  {'id': 1885,\n",
       "   'logo_path': '/tXMFoE8AtNdnFzWOW0aCLwl7xxS.png',\n",
       "   'name': 'Silver Pictures',\n",
       "   'origin_country': 'US'}],\n",
       " 'production_countries': [{'iso_3166_1': 'US',\n",
       "   'name': 'United States of America'}],\n",
       " 'release_date': '1999-03-30',\n",
       " 'revenue': 463517383,\n",
       " 'runtime': 136,\n",
       " 'spoken_languages': [{'english_name': 'English',\n",
       "   'iso_639_1': 'en',\n",
       "   'name': 'English'}],\n",
       " 'status': 'Released',\n",
       " 'tagline': 'Welcome to the Real World.',\n",
       " 'title': 'The Matrix',\n",
       " 'video': False,\n",
       " 'vote_average': 8.2,\n",
       " 'vote_count': 21769}"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Movie ofbjects have a .info dictionary\n",
    "info = movie.info()\n",
    "info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "c5600bec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "63000000"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "info['budget']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "9f84f0e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "463517383"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "info['revenue']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "8fde93f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'tt0133093'"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# info() includes \"imbdb_id\" which we can use to match with \n",
    "# our existing data frame of movies:\n",
    "\n",
    "info['imdb_id']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d30d8a8",
   "metadata": {},
   "source": [
    "Your stakeholder wants you to extract the budget, revenue, and MPAA Rating (G/PG/PG-13/R), which is also called \"Certification\"."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2bc84b13",
   "metadata": {},
   "source": [
    "As a proof-of-concept, they requested you perform a test extraction of movies that started in 2000 or 2001"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "8f73ca60",
   "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>tconst</th>\n",
       "      <th>titleType</th>\n",
       "      <th>primaryTitle</th>\n",
       "      <th>originalTitle</th>\n",
       "      <th>isAdult</th>\n",
       "      <th>startYear</th>\n",
       "      <th>endYear</th>\n",
       "      <th>runtimeMinutes</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tt0035423</td>\n",
       "      <td>movie</td>\n",
       "      <td>Kate &amp; Leopold</td>\n",
       "      <td>Kate &amp; Leopold</td>\n",
       "      <td>0</td>\n",
       "      <td>2001-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>118</td>\n",
       "      <td>Comedy,Fantasy,Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt0062336</td>\n",
       "      <td>movie</td>\n",
       "      <td>The Tango of the Widower and Its Distorting Mi...</td>\n",
       "      <td>El Tango del Viudo y Su Espejo Deformante</td>\n",
       "      <td>0</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt0069049</td>\n",
       "      <td>movie</td>\n",
       "      <td>The Other Side of the Wind</td>\n",
       "      <td>The Other Side of the Wind</td>\n",
       "      <td>0</td>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>122</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt0079644</td>\n",
       "      <td>movie</td>\n",
       "      <td>November 1828</td>\n",
       "      <td>November 1828</td>\n",
       "      <td>0</td>\n",
       "      <td>2001-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140</td>\n",
       "      <td>Drama,War</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt0088751</td>\n",
       "      <td>movie</td>\n",
       "      <td>The Naked Monster</td>\n",
       "      <td>The Naked Monster</td>\n",
       "      <td>0</td>\n",
       "      <td>2005-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100</td>\n",
       "      <td>Comedy,Horror,Sci-Fi</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      tconst titleType                                       primaryTitle  \\\n",
       "0  tt0035423     movie                                     Kate & Leopold   \n",
       "1  tt0062336     movie  The Tango of the Widower and Its Distorting Mi...   \n",
       "2  tt0069049     movie                         The Other Side of the Wind   \n",
       "3  tt0079644     movie                                      November 1828   \n",
       "4  tt0088751     movie                                  The Naked Monster   \n",
       "\n",
       "                               originalTitle  isAdult   startYear  endYear  \\\n",
       "0                             Kate & Leopold        0  2001-01-01      NaN   \n",
       "1  El Tango del Viudo y Su Espejo Deformante        0  2020-01-01      NaN   \n",
       "2                 The Other Side of the Wind        0  2018-01-01      NaN   \n",
       "3                              November 1828        0  2001-01-01      NaN   \n",
       "4                          The Naked Monster        0  2005-01-01      NaN   \n",
       "\n",
       "   runtimeMinutes                  genres  \n",
       "0             118  Comedy,Fantasy,Romance  \n",
       "1              70                   Drama  \n",
       "2             122                   Drama  \n",
       "3             140               Drama,War  \n",
       "4             100    Comedy,Horror,Sci-Fi  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load csv files from part I:\n",
    "\n",
    "basics = pd.read_csv('C:\\\\Users\\\\jnate\\\\OneDrive\\\\Documents\\\\Data Enrichment\\\\Project-3\\\\Data\\\\title_basics.csv.gz')\n",
    "\n",
    "basics.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "17d9fa7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load csv files from part I:\n",
    "\n",
    "# basics = pd.read_csv('C:\\\\Users\\\\jnate\\\\OneDrive\\\\Documents\\\\Data Enrichment\\\\Project-3\\\\Data\\\\title_basics.csv.gz')\n",
    "\n",
    "# basics.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "313dc5e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(140788, 9)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "basics.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "8972f352",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2018-01-01    9539\n",
       "2017-01-01    9372\n",
       "2019-01-01    9210\n",
       "2016-01-01    8983\n",
       "2015-01-01    8535\n",
       "2014-01-01    8140\n",
       "2021-01-01    7870\n",
       "2013-01-01    7746\n",
       "2020-01-01    7343\n",
       "2012-01-01    7260\n",
       "2011-01-01    6737\n",
       "2010-01-01    6328\n",
       "2009-01-01    5931\n",
       "2008-01-01    5167\n",
       "2007-01-01    4581\n",
       "2022-01-01    4383\n",
       "2006-01-01    4350\n",
       "2005-01-01    3878\n",
       "2004-01-01    3488\n",
       "2003-01-01    3207\n",
       "2002-01-01    2963\n",
       "2001-01-01    2837\n",
       "2000-01-01    2707\n",
       "2023-01-01     233\n",
       "Name: startYear, dtype: int64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "basics['startYear'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "a70271c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['.ipynb_checkpoints',\n",
       " 'akas.csv.gz',\n",
       " 'ratings.csv.gz',\n",
       " 'title_basics.csv.gz',\n",
       " 'tmbd_api_results_2000.json',\n",
       " 'tmbd_api_results_2001.json',\n",
       " 'tmdb_api_results_2000.json',\n",
       " 'tmdb_api_results_2001.json']"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Save API calls to a previously created folder called Dat:\n",
    "\n",
    "import os, time\n",
    "from tqdm.notebook import tqdm_notebook\n",
    "\n",
    "FOLDER = \"Data/\"\n",
    "os.makedirs(FOLDER, exist_ok=True)\n",
    "os.listdir(FOLDER)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "aec6c102",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Write a definition for movie ratings: \n",
    "\n",
    "def get_movie_rating(movie_id):\n",
    "# Get movie object for the current id:\n",
    "\n",
    "    movie = tmdb.Movies(movie_id)\n",
    "\n",
    "    # Save the .info .releases dictionaries:\n",
    "\n",
    "    info = movie.info()\n",
    "    releases = movie.releases()\n",
    "\n",
    "    # Loop through coutnries in releases:\n",
    "\n",
    "    for c in releases['countries']:\n",
    "        \n",
    "        # If the country abbreviation is US\n",
    "        if c['iso_3166_1'] =='US':\n",
    "            \n",
    "            # Save a \"certification\" key in the info dict with the certification:\n",
    "            info['certification'] = c['certification']\n",
    "    return info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "5f8791c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to append new results to the existing JSON file:\n",
    "\n",
    "def write_json(new_data, filename):\n",
    "    \"\"\"Adapted from: https://www.geeksforgeeks.org/append-to-json-file-using-python/\"\"\"\n",
    "    with open(filename, 'r+') as file:\n",
    "        \n",
    "        # Load existing data into a dictionary:\n",
    "        file_data = json.load(file)\n",
    "        \n",
    "        # Choose extend or append:\n",
    "        if (type(new_data)== list) & (type(file_data) == list):\n",
    "            file_data.extend(new_data)\n",
    "        else:\n",
    "            file_data.append(new_data)\n",
    "            \n",
    "        # Set file's current position at offset:\n",
    "        file.seek(0)\n",
    "        \n",
    "        # convert back to json.\n",
    "        json.dump(file_data, file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "4ecd34e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "dada99c58807484c9e47f3ed1313dcac",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "YEARS:   0%|          | 0/2 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "73c9714157754598aced2765b64b907f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Movies from 2000: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8041cc984faf433e88fd48c4406a03ce",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Movies from 2001: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "YEARS_TO_GET = [2000,2001]\n",
    "\n",
    "\n",
    "# Start of OUTER loop:\n",
    "\n",
    "for YEAR in tqdm_notebook(YEARS_TO_GET, desc='YEARS',\n",
    "                          position=0):\n",
    "    # Defining the JSON file to store results for year\n",
    "    JSON_FILE = f'{FOLDER}tmdb_api_results_{YEAR}.json'\n",
    "\n",
    "    # Check if file exists:\n",
    "    file_exists = os.path.isfile(JSON_FILE)\n",
    "\n",
    "\n",
    "    # If file does not exist create it:\n",
    "    if file_exists == False:\n",
    "        \n",
    "    # save an empty dict with just \"imdb_id\" to the new json file:\n",
    "        with open(JSON_FILE,'w') as f:\n",
    "            json.dump([{'imdb_id':0}],f)\n",
    "\n",
    "\n",
    "\n",
    "    # Saving new year as the current df:\n",
    "    df = basics.loc[ basics['startYear']==YEAR].copy()\n",
    "    \n",
    "    # Saving movie ids to list:\n",
    "    movie_ids = df['tconst'].copy()#.to_list()\n",
    "\n",
    "\n",
    "    # Load existing data from json into a dataframe called \"previous_df\":\n",
    "    previous_df = pd.read_json(JSON_FILE)\n",
    "\n",
    "\n",
    "    # filter out any ids that are already in the JSON_FILE:\n",
    "    movie_ids_to_get = movie_ids[~movie_ids.isin(previous_df['imdb_id'])]\n",
    "\n",
    "\n",
    "    # Get index and movie id from list:\n",
    "    # INNER Loop:\n",
    "    \n",
    "    for movie_id in tqdm_notebook(movie_ids_to_get,\n",
    "                                  desc=f'Movies from {YEAR}',\n",
    "                                  position=1,\n",
    "                                  leave=True):\n",
    "        # Attempt to retrieve then data for the movie id\n",
    "        try:\n",
    "            temp = get_movie_rating(movie_id)  #This uses your pre-made function\n",
    "            # Append/extend results to existing file using a pre-made function\n",
    "            write_json(temp,JSON_FILE)\n",
    "            # Short 20 ms sleep to prevent overwhelming server\n",
    "            time.sleep(0.02)\n",
    "\n",
    "        # If it fails,  make a dict with just the id and None for certification.\n",
    "        except Exception as e:\n",
    "            continue\n",
    "\n",
    "\n",
    "    \n",
    "    final_year_df = pd.read_json(JSON_FILE)\n",
    "    \n",
    "    csv_fname = f\"{FOLDER}final_tmdb_data_{YEAR}.csv.gz\"\n",
    "    final_year_df.to_csv(csv_fname, compression=\"gzip\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ca8fcf6",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "636b3cb1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load JSON files:\n",
    "\n",
    "with open('Data\\\\tmdb_api_results_2000.json') as y1:\n",
    "    jsonfile2 = json.load(y1)\n",
    "\n",
    "with open('Data\\\\tmdb_api_results_2001.json') as y2:\n",
    "    jsonfile3 = json.load(y2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "5af62be9",
   "metadata": {},
   "outputs": [
    {
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       "      <td>[{'id': 18, 'name': 'Drama'}, {'id': 28, 'name...</td>\n",
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       "      <td>Released</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>150000.0</td>\n",
       "      <td>[{'id': 18, 'name': 'Drama'}, {'id': 10749, 'n...</td>\n",
       "      <td>http://www.wkw-inthemoodforlove.com/</td>\n",
       "      <td>843.0</td>\n",
       "      <td>cn</td>\n",
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       "     imdb_id  adult                     backdrop_path belongs_to_collection  \\\n",
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       "\n",
       "       budget                                             genres  \\\n",
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       "1  10000000.0  [{'id': 35, 'name': 'Comedy'}, {'id': 10402, '...   \n",
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       "\n",
       "                               homepage        id original_language  \\\n",
       "0                                   NaN       NaN               NaN   \n",
       "1                                         62127.0                en   \n",
       "2                                        110977.0                en   \n",
       "3                                        442869.0                hi   \n",
       "4  http://www.wkw-inthemoodforlove.com/     843.0                cn   \n",
       "\n",
       "    original_title  ...     revenue  runtime  \\\n",
       "0              NaN  ...         NaN      NaN   \n",
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       "4             花樣年華  ...  12854953.0     99.0   \n",
       "\n",
       "                                    spoken_languages    status  \\\n",
       "0                                                NaN       NaN   \n",
       "1  [{'english_name': 'English', 'iso_639_1': 'en'...  Released   \n",
       "2  [{'english_name': 'English', 'iso_639_1': 'en'...  Released   \n",
       "3  [{'english_name': 'Hindi', 'iso_639_1': 'hi', ...  Released   \n",
       "4  [{'english_name': 'Cantonese', 'iso_639_1': 'c...  Released   \n",
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       "0                                                NaN                   NaN   \n",
       "1      Try to remember the first time magic happened       The Fantasticks   \n",
       "2       The ultimate showdown on a forbidden planet.         For the Cause   \n",
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       "[5 rows x 26 columns]"
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     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert separate years to pandas DataFrames:\n",
    "\n",
    "year2000 = pd.DataFrame(jsonfile2)\n",
    "year2000.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "48a4ac3d",
   "metadata": {},
   "outputs": [
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       "     imdb_id  adult                     backdrop_path belongs_to_collection  \\\n",
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       "\n",
       "       budget                                             genres homepage  \\\n",
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       "\n",
       "         id original_language         original_title  ...     revenue  \\\n",
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       "1   11232.0                en         Kate & Leopold  ...  76019048.0   \n",
       "2  151007.0                en       The Silent Force  ...         0.0   \n",
       "3   10696.0                en                Glitter  ...   5271666.0   \n",
       "4   17140.0                en  The Attic Expeditions  ...         0.0   \n",
       "\n",
       "   runtime                                   spoken_languages    status  \\\n",
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       "4    100.0  [{'english_name': 'English', 'iso_639_1': 'en'...  Released   \n",
       "\n",
       "                                             tagline                  title  \\\n",
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       "4  His search for peace of mind... will leave his...  The Attic Expeditions   \n",
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       "   video  vote_average vote_count certification  \n",
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     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert separate years to pandas DataFrames:\n",
    "\n",
    "year2001 = pd.DataFrame(jsonfile3)\n",
    "year2001.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "98b5b700",
   "metadata": {},
   "outputs": [
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       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt0113026</td>\n",
       "      <td>False</td>\n",
       "      <td>/vMFs7nw6P0bIV1jDsQpxAieAVnH.jpg</td>\n",
       "      <td>None</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 10402, '...</td>\n",
       "      <td></td>\n",
       "      <td>62127.0</td>\n",
       "      <td>en</td>\n",
       "      <td>The Fantasticks</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>[{'english_name': 'English', 'iso_639_1': 'en'...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Try to remember the first time magic happened</td>\n",
       "      <td>The Fantasticks</td>\n",
       "      <td>False</td>\n",
       "      <td>5.4</td>\n",
       "      <td>21.0</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt0113092</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[{'id': 878, 'name': 'Science Fiction'}]</td>\n",
       "      <td></td>\n",
       "      <td>110977.0</td>\n",
       "      <td>en</td>\n",
       "      <td>For the Cause</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>[{'english_name': 'English', 'iso_639_1': 'en'...</td>\n",
       "      <td>Released</td>\n",
       "      <td>The ultimate showdown on a forbidden planet.</td>\n",
       "      <td>For the Cause</td>\n",
       "      <td>False</td>\n",
       "      <td>4.4</td>\n",
       "      <td>7.0</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt0116391</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[{'id': 18, 'name': 'Drama'}, {'id': 28, 'name...</td>\n",
       "      <td></td>\n",
       "      <td>442869.0</td>\n",
       "      <td>hi</td>\n",
       "      <td>Gang</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>[{'english_name': 'Hindi', 'iso_639_1': 'hi', ...</td>\n",
       "      <td>Released</td>\n",
       "      <td></td>\n",
       "      <td>Gang</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt0118694</td>\n",
       "      <td>False</td>\n",
       "      <td>/n4GJFGzsc7NinI1VeGDXIcQjtU2.jpg</td>\n",
       "      <td>None</td>\n",
       "      <td>150000.0</td>\n",
       "      <td>[{'id': 18, 'name': 'Drama'}, {'id': 10749, 'n...</td>\n",
       "      <td>http://www.wkw-inthemoodforlove.com/</td>\n",
       "      <td>843.0</td>\n",
       "      <td>cn</td>\n",
       "      <td>花樣年華</td>\n",
       "      <td>...</td>\n",
       "      <td>12854953.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>[{'english_name': 'Cantonese', 'iso_639_1': 'c...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Feel the heat, keep the feeling burning, let t...</td>\n",
       "      <td>In the Mood for Love</td>\n",
       "      <td>False</td>\n",
       "      <td>8.1</td>\n",
       "      <td>1868.0</td>\n",
       "      <td>PG</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     imdb_id  adult                     backdrop_path belongs_to_collection  \\\n",
       "0          0    NaN                               NaN                   NaN   \n",
       "1  tt0113026  False  /vMFs7nw6P0bIV1jDsQpxAieAVnH.jpg                  None   \n",
       "2  tt0113092  False                              None                  None   \n",
       "3  tt0116391  False                              None                  None   \n",
       "4  tt0118694  False  /n4GJFGzsc7NinI1VeGDXIcQjtU2.jpg                  None   \n",
       "\n",
       "       budget                                             genres  \\\n",
       "0         NaN                                                NaN   \n",
       "1  10000000.0  [{'id': 35, 'name': 'Comedy'}, {'id': 10402, '...   \n",
       "2         0.0           [{'id': 878, 'name': 'Science Fiction'}]   \n",
       "3         0.0  [{'id': 18, 'name': 'Drama'}, {'id': 28, 'name...   \n",
       "4    150000.0  [{'id': 18, 'name': 'Drama'}, {'id': 10749, 'n...   \n",
       "\n",
       "                               homepage        id original_language  \\\n",
       "0                                   NaN       NaN               NaN   \n",
       "1                                         62127.0                en   \n",
       "2                                        110977.0                en   \n",
       "3                                        442869.0                hi   \n",
       "4  http://www.wkw-inthemoodforlove.com/     843.0                cn   \n",
       "\n",
       "    original_title  ...     revenue  runtime  \\\n",
       "0              NaN  ...         NaN      NaN   \n",
       "1  The Fantasticks  ...         0.0     86.0   \n",
       "2    For the Cause  ...         0.0    100.0   \n",
       "3             Gang  ...         0.0    152.0   \n",
       "4             花樣年華  ...  12854953.0     99.0   \n",
       "\n",
       "                                    spoken_languages    status  \\\n",
       "0                                                NaN       NaN   \n",
       "1  [{'english_name': 'English', 'iso_639_1': 'en'...  Released   \n",
       "2  [{'english_name': 'English', 'iso_639_1': 'en'...  Released   \n",
       "3  [{'english_name': 'Hindi', 'iso_639_1': 'hi', ...  Released   \n",
       "4  [{'english_name': 'Cantonese', 'iso_639_1': 'c...  Released   \n",
       "\n",
       "                                             tagline                 title  \\\n",
       "0                                                NaN                   NaN   \n",
       "1      Try to remember the first time magic happened       The Fantasticks   \n",
       "2       The ultimate showdown on a forbidden planet.         For the Cause   \n",
       "3                                                                     Gang   \n",
       "4  Feel the heat, keep the feeling burning, let t...  In the Mood for Love   \n",
       "\n",
       "   video  vote_average vote_count certification  \n",
       "0    NaN           NaN        NaN           NaN  \n",
       "1  False           5.4       21.0                \n",
       "2  False           4.4        7.0                \n",
       "3  False           0.0        0.0           NaN  \n",
       "4  False           8.1     1868.0            PG  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Combine / Concatinate separate DataFrames: \n",
    "\n",
    "combined = [year2000, year2001]\n",
    "\n",
    "finalyears = pd.concat(combined)\n",
    "\n",
    "finalyears.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63f565c8",
   "metadata": {},
   "source": [
    "### ***How many movies had at least some valid financial information (values > 0 for budget OR revenue)?***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "12e75532",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "imdb_id                     0\n",
       "adult                       2\n",
       "backdrop_path            1235\n",
       "belongs_to_collection    2286\n",
       "budget                      2\n",
       "genres                      2\n",
       "homepage                  169\n",
       "id                          2\n",
       "original_language           2\n",
       "original_title              2\n",
       "overview                    2\n",
       "popularity                  2\n",
       "poster_path               314\n",
       "production_companies        2\n",
       "production_countries        2\n",
       "release_date                2\n",
       "revenue                     2\n",
       "runtime                    47\n",
       "spoken_languages            2\n",
       "status                      2\n",
       "tagline                     2\n",
       "title                       2\n",
       "video                       2\n",
       "vote_average                2\n",
       "vote_count                  2\n",
       "certification             839\n",
       "dtype: int64"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check for missing values:\n",
    "\n",
    "finalyears.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "5fd8cebc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Excluding titles with a budget of 0. \n",
    "\n",
    "budget = finalyears.loc[finalyears['budget'].copy() != 0]\n",
    "\n",
    "finalyears = budget"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "2adc1fdb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Excluding titles with 0 revenue:\n",
    "\n",
    "revenue = finalyears.loc[finalyears['revenue'].copy() != 0]\n",
    "\n",
    "finalyears = revenue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "75ed8520",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\jnate\\anaconda3\\envs\\dojo-env\\lib\\site-packages\\pandas\\util\\_decorators.py:311: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return func(*args, **kwargs)\n"
     ]
    },
    {
     "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",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\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>imdb_id</th>\n",
       "      <th>adult</th>\n",
       "      <th>backdrop_path</th>\n",
       "      <th>belongs_to_collection</th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>...</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>video</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>certification</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>tt0120630</td>\n",
       "      <td>False</td>\n",
       "      <td>/t7aJ7hqsMLEoqBJk7yAXxcAVvcz.jpg</td>\n",
       "      <td>{'id': 718551, 'name': 'Chicken Run Collection...</td>\n",
       "      <td>45000000.0</td>\n",
       "      <td>[{'id': 16, 'name': 'Animation'}, {'id': 35, '...</td>\n",
       "      <td></td>\n",
       "      <td>7443.0</td>\n",
       "      <td>en</td>\n",
       "      <td>Chicken Run</td>\n",
       "      <td>...</td>\n",
       "      <td>224834564.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>[{'english_name': 'English', 'iso_639_1': 'en'...</td>\n",
       "      <td>Released</td>\n",
       "      <td>This ain't no chick flick. It's poultry in mot...</td>\n",
       "      <td>Chicken Run</td>\n",
       "      <td>False</td>\n",
       "      <td>6.7</td>\n",
       "      <td>3997.0</td>\n",
       "      <td>G</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>tt0120755</td>\n",
       "      <td>False</td>\n",
       "      <td>/8XaohdSqoBEWHhW40q2VTdMBrV0.jpg</td>\n",
       "      <td>{'id': 87359, 'name': 'Mission: Impossible Col...</td>\n",
       "      <td>125000000.0</td>\n",
       "      <td>[{'id': 12, 'name': 'Adventure'}, {'id': 28, '...</td>\n",
       "      <td></td>\n",
       "      <td>955.0</td>\n",
       "      <td>en</td>\n",
       "      <td>Mission: Impossible II</td>\n",
       "      <td>...</td>\n",
       "      <td>546388105.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>[{'english_name': 'English', 'iso_639_1': 'en'...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Expect the impossible again.</td>\n",
       "      <td>Mission: Impossible II</td>\n",
       "      <td>False</td>\n",
       "      <td>6.1</td>\n",
       "      <td>5279.0</td>\n",
       "      <td>PG-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>tt0120903</td>\n",
       "      <td>False</td>\n",
       "      <td>/u4gOTZLplCbP3IgcYcZ7e1zgOAo.jpg</td>\n",
       "      <td>{'id': 748, 'name': 'X-Men Collection', 'poste...</td>\n",
       "      <td>75000000.0</td>\n",
       "      <td>[{'id': 12, 'name': 'Adventure'}, {'id': 28, '...</td>\n",
       "      <td></td>\n",
       "      <td>36657.0</td>\n",
       "      <td>en</td>\n",
       "      <td>X-Men</td>\n",
       "      <td>...</td>\n",
       "      <td>296339527.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>[{'english_name': 'English', 'iso_639_1': 'en'...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Evolution Begins</td>\n",
       "      <td>X-Men</td>\n",
       "      <td>False</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9560.0</td>\n",
       "      <td>PG-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>tt0120917</td>\n",
       "      <td>False</td>\n",
       "      <td>/mZj8EUr6F1x2PWZjKPxaeYd5WRw.jpg</td>\n",
       "      <td>{'id': 178117, 'name': 'The Emperor's New Groo...</td>\n",
       "      <td>100000000.0</td>\n",
       "      <td>[{'id': 12, 'name': 'Adventure'}, {'id': 16, '...</td>\n",
       "      <td></td>\n",
       "      <td>11688.0</td>\n",
       "      <td>en</td>\n",
       "      <td>The Emperor's New Groove</td>\n",
       "      <td>...</td>\n",
       "      <td>169327687.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>[{'english_name': 'English', 'iso_639_1': 'en'...</td>\n",
       "      <td>Released</td>\n",
       "      <td>It's all about... ME!</td>\n",
       "      <td>The Emperor's New Groove</td>\n",
       "      <td>False</td>\n",
       "      <td>7.5</td>\n",
       "      <td>5445.0</td>\n",
       "      <td>G</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>tt0134084</td>\n",
       "      <td>False</td>\n",
       "      <td>/yZK4T7ZDQcQr5omvSnJnR9IzBVa.jpg</td>\n",
       "      <td>{'id': 2602, 'name': 'Scream Collection', 'pos...</td>\n",
       "      <td>40000000.0</td>\n",
       "      <td>[{'id': 27, 'name': 'Horror'}, {'id': 9648, 'n...</td>\n",
       "      <td></td>\n",
       "      <td>4234.0</td>\n",
       "      <td>en</td>\n",
       "      <td>Scream 3</td>\n",
       "      <td>...</td>\n",
       "      <td>161834276.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>[{'english_name': 'English', 'iso_639_1': 'en'...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Someone has taken their love of trilogies one ...</td>\n",
       "      <td>Scream 3</td>\n",
       "      <td>False</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2521.0</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      imdb_id  adult                     backdrop_path  \\\n",
       "13  tt0120630  False  /t7aJ7hqsMLEoqBJk7yAXxcAVvcz.jpg   \n",
       "17  tt0120755  False  /8XaohdSqoBEWHhW40q2VTdMBrV0.jpg   \n",
       "18  tt0120903  False  /u4gOTZLplCbP3IgcYcZ7e1zgOAo.jpg   \n",
       "20  tt0120917  False  /mZj8EUr6F1x2PWZjKPxaeYd5WRw.jpg   \n",
       "32  tt0134084  False  /yZK4T7ZDQcQr5omvSnJnR9IzBVa.jpg   \n",
       "\n",
       "                                belongs_to_collection       budget  \\\n",
       "13  {'id': 718551, 'name': 'Chicken Run Collection...   45000000.0   \n",
       "17  {'id': 87359, 'name': 'Mission: Impossible Col...  125000000.0   \n",
       "18  {'id': 748, 'name': 'X-Men Collection', 'poste...   75000000.0   \n",
       "20  {'id': 178117, 'name': 'The Emperor's New Groo...  100000000.0   \n",
       "32  {'id': 2602, 'name': 'Scream Collection', 'pos...   40000000.0   \n",
       "\n",
       "                                               genres homepage       id  \\\n",
       "13  [{'id': 16, 'name': 'Animation'}, {'id': 35, '...            7443.0   \n",
       "17  [{'id': 12, 'name': 'Adventure'}, {'id': 28, '...             955.0   \n",
       "18  [{'id': 12, 'name': 'Adventure'}, {'id': 28, '...           36657.0   \n",
       "20  [{'id': 12, 'name': 'Adventure'}, {'id': 16, '...           11688.0   \n",
       "32  [{'id': 27, 'name': 'Horror'}, {'id': 9648, 'n...            4234.0   \n",
       "\n",
       "   original_language            original_title  ...      revenue  runtime  \\\n",
       "13                en               Chicken Run  ...  224834564.0     84.0   \n",
       "17                en    Mission: Impossible II  ...  546388105.0    123.0   \n",
       "18                en                     X-Men  ...  296339527.0    104.0   \n",
       "20                en  The Emperor's New Groove  ...  169327687.0     78.0   \n",
       "32                en                  Scream 3  ...  161834276.0    116.0   \n",
       "\n",
       "                                     spoken_languages    status  \\\n",
       "13  [{'english_name': 'English', 'iso_639_1': 'en'...  Released   \n",
       "17  [{'english_name': 'English', 'iso_639_1': 'en'...  Released   \n",
       "18  [{'english_name': 'English', 'iso_639_1': 'en'...  Released   \n",
       "20  [{'english_name': 'English', 'iso_639_1': 'en'...  Released   \n",
       "32  [{'english_name': 'English', 'iso_639_1': 'en'...  Released   \n",
       "\n",
       "                                              tagline  \\\n",
       "13  This ain't no chick flick. It's poultry in mot...   \n",
       "17                       Expect the impossible again.   \n",
       "18                                   Evolution Begins   \n",
       "20                              It's all about... ME!   \n",
       "32  Someone has taken their love of trilogies one ...   \n",
       "\n",
       "                       title  video  vote_average vote_count certification  \n",
       "13               Chicken Run  False           6.7     3997.0             G  \n",
       "17    Mission: Impossible II  False           6.1     5279.0         PG-13  \n",
       "18                     X-Men  False           7.0     9560.0         PG-13  \n",
       "20  The Emperor's New Groove  False           7.5     5445.0             G  \n",
       "32                  Scream 3  False           5.9     2521.0             R  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "finalyears.dropna(inplace = True)\n",
    "\n",
    "finalyears.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "e38d2515",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Exporting the final Data Frame as csv:\n",
    "\n",
    "finalyears.to_csv(\"Data/finalyears.csv.gz\",compression='gzip',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "53f66c43",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "81"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(finalyears['title'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3be17bf",
   "metadata": {},
   "source": [
    "### A : There are 348 titles with budgets and revenues above 0.00. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "fece9e57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "fig, axes = plt.subplots(nrows = 1, ncols = 1, figsize = (24,12))\n",
    "sns.scatterplot(data = finalyears, x = 'title' , y = 'budget')\n",
    "plt.axhline(y=0, color = 'red', alpha = .5, ls = 'dashed');\n",
    "\n",
    "plt.title('Movie Title by Budget\\n', fontsize =24)\n",
    "plt.ylabel('Budget in the Millions\\n\\n', fontsize=16);\n",
    "plt.xlabel('\\n\\nMovie Titles', fontsize=16);\n",
    "plt.xticks(rotation=90);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "4dec1a3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig, axes = plt.subplots(nrows = 1, ncols = 1, figsize = (24,12))\n",
    "sns.scatterplot(data = finalyears, x = 'title' , y = 'revenue', color = 'green')\n",
    "plt.axhline(y=0, color = 'red', alpha = .5, ls = 'dashed');\n",
    "plt.title('Movie Title by Revenue\\n', fontsize =24)\n",
    "plt.ylabel('Revenue in the Millions\\n\\n', fontsize=16);\n",
    "plt.xlabel('\\n\\nMovie Titles', fontsize=16);\n",
    "plt.xticks(rotation=90);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c2ff12f",
   "metadata": {},
   "source": [
    "## ***How many movies are there in each of the certification categories (G/PG/PG-13/R)?***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "62261f2f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\jnate\\anaconda3\\envs\\dojo-env\\lib\\site-packages\\pandas\\core\\generic.py:6619: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return self._update_inplace(result)\n"
     ]
    }
   ],
   "source": [
    "finalyears['certification'].replace('', 'NR', inplace = True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "e298c6ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rating = finalyears['certification'].value_counts().sort_values(ascending=True)\n",
    "\n",
    "rating.plot(kind='barh', alpha = .4, color='blue', figsize= (8,6), );\n",
    "plt.title('Rating Counts\\n', color= 'blue', fontsize =24)\n",
    "plt.xlabel('\\nCount', fontsize = 16)\n",
    "plt.ylabel('Item Type\\n', fontsize = 16)\n",
    "plt.grid(axis ='x', color ='black', alpha=.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "40e328ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "R        27\n",
       "PG-13    24\n",
       "NR       11\n",
       "PG       10\n",
       "G         9\n",
       "Name: certification, dtype: int64"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "finalyears['certification'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d497f079",
   "metadata": {},
   "source": [
    "### A: Movie Counts:\n",
    "\n",
    "    R:       27\n",
    "    PG-13:   24\n",
    "    NR:      11\n",
    "    PG:      10\n",
    "    G:       9"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a40c8d95",
   "metadata": {},
   "source": [
    "## ***What is the average revenue per certification category?***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "8beb57eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows = 1, ncols = 1, figsize = (24,12))\n",
    "sns.barplot(data = finalyears, x = 'certification' , y = 'revenue', color = '#41ab5d')\n",
    "plt.title('Movie Rating by Revenue\\n', fontsize =24)\n",
    "plt.ylabel('Revenue in the Millions\\n\\n', fontsize=16);\n",
    "plt.xlabel('\\n\\nMovie Titles', fontsize=16);\n",
    "plt.xticks(rotation=90);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "40f2bfd8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "certification\n",
       "G        1.731920e+08\n",
       "NR       7.872080e+07\n",
       "PG       2.183303e+08\n",
       "PG-13    2.185753e+08\n",
       "R        1.049396e+08\n",
       "Name: revenue, dtype: float64"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "finalyears.groupby('certification')['revenue'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca31c3dd",
   "metadata": {},
   "source": [
    "### A: Average Revenue per Category:\n",
    "\n",
    "    G        1.731920e+08 | 173,000,000.00\n",
    "    NR       7.872080e+07 | 78,700,000.00\n",
    "    PG       2.183303e+08 | 218,300,000.00\n",
    "    PG-13    2.185753e+08 | 218,500,000.00\n",
    "    R        1.049396e+08 | 105,000,000.00"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f0bd844",
   "metadata": {},
   "source": [
    "## What is the average budget per certification category?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "6d7663a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1728x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows = 1, ncols = 1, figsize = (24,12))\n",
    "sns.barplot(data = finalyears, x = 'certification' , y = 'budget', color = '#6a51a3', alpha = 0.5)\n",
    "plt.title('Movie Rating by Budget\\n', fontsize =24)\n",
    "plt.ylabel('Average Movie Budget in the Millions\\n\\n', fontsize=16);\n",
    "plt.xlabel('\\n\\nMovie Titles', fontsize=16);\n",
    "plt.xticks(rotation=90);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "8e5e64e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "certification\n",
       "G        5.077778e+07\n",
       "NR       1.870000e+07\n",
       "PG       5.796500e+07\n",
       "PG-13    5.557083e+07\n",
       "R        3.010000e+07\n",
       "Name: budget, dtype: float64"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "budget = finalyears.groupby('certification')['budget'].mean()\n",
    "budget"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3e09d80",
   "metadata": {},
   "source": [
    "### A: Average movie budget for each Rating:\n",
    "\n",
    "    G        5.077778e+07 | 50,700,000.00\n",
    "    NR       1.870000e+07 | 18,700,000.00\n",
    "    PG       5.796500e+07 | 58,000,000.00\n",
    "    PG-13    5.557083e+07 | 56,000,000.00\n",
    "    R        3.010000e+07 | 30,000,000.00"
   ]
  }
 ],
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