{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "pd.options.display.max_columns = None\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>color</th>\n",
       "      <th>director_name</th>\n",
       "      <th>num_critic_for_reviews</th>\n",
       "      <th>duration</th>\n",
       "      <th>director_facebook_likes</th>\n",
       "      <th>actor_3_facebook_likes</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>gross</th>\n",
       "      <th>genres</th>\n",
       "      <th>actor_1_name</th>\n",
       "      <th>movie_title</th>\n",
       "      <th>num_voted_users</th>\n",
       "      <th>cast_total_facebook_likes</th>\n",
       "      <th>actor_3_name</th>\n",
       "      <th>facenumber_in_poster</th>\n",
       "      <th>plot_keywords</th>\n",
       "      <th>movie_imdb_link</th>\n",
       "      <th>num_user_for_reviews</th>\n",
       "      <th>language</th>\n",
       "      <th>country</th>\n",
       "      <th>content_rating</th>\n",
       "      <th>budget</th>\n",
       "      <th>title_year</th>\n",
       "      <th>actor_2_facebook_likes</th>\n",
       "      <th>imdb_score</th>\n",
       "      <th>aspect_ratio</th>\n",
       "      <th>movie_facebook_likes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Color</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>723.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>855.0</td>\n",
       "      <td>Joel David Moore</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>760505847.0</td>\n",
       "      <td>Action|Adventure|Fantasy|Sci-Fi</td>\n",
       "      <td>CCH Pounder</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>886204</td>\n",
       "      <td>4834</td>\n",
       "      <td>Wes Studi</td>\n",
       "      <td>0.0</td>\n",
       "      <td>avatar|future|marine|native|paraplegic</td>\n",
       "      <td>http://www.imdb.com/title/tt0499549/?ref_=fn_t...</td>\n",
       "      <td>3054.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>237000000.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>936.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>1.78</td>\n",
       "      <td>33000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   color  director_name  num_critic_for_reviews  duration  \\\n",
       "0  Color  James Cameron                   723.0     178.0   \n",
       "\n",
       "   director_facebook_likes  actor_3_facebook_likes      actor_2_name  \\\n",
       "0                      0.0                   855.0  Joel David Moore   \n",
       "\n",
       "   actor_1_facebook_likes        gross                           genres  \\\n",
       "0                  1000.0  760505847.0  Action|Adventure|Fantasy|Sci-Fi   \n",
       "\n",
       "  actor_1_name movie_title  num_voted_users  cast_total_facebook_likes  \\\n",
       "0  CCH Pounder     Avatar            886204                       4834   \n",
       "\n",
       "  actor_3_name  facenumber_in_poster                           plot_keywords  \\\n",
       "0    Wes Studi                   0.0  avatar|future|marine|native|paraplegic   \n",
       "\n",
       "                                     movie_imdb_link  num_user_for_reviews  \\\n",
       "0  http://www.imdb.com/title/tt0499549/?ref_=fn_t...                3054.0   \n",
       "\n",
       "  language country content_rating       budget  title_year  \\\n",
       "0  English     USA          PG-13  237000000.0      2009.0   \n",
       "\n",
       "   actor_2_facebook_likes  imdb_score  aspect_ratio  movie_facebook_likes  \n",
       "0                   936.0         7.9          1.78                 33000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies=pd.read_csv(\"movie_metadata.csv\")\n",
    "movies.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>color</th>\n",
       "      <th>director_name</th>\n",
       "      <th>num_critic_for_reviews</th>\n",
       "      <th>duration</th>\n",
       "      <th>director_facebook_likes</th>\n",
       "      <th>actor_3_facebook_likes</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>gross</th>\n",
       "      <th>genres</th>\n",
       "      <th>actor_1_name</th>\n",
       "      <th>movie_title</th>\n",
       "      <th>num_voted_users</th>\n",
       "      <th>cast_total_facebook_likes</th>\n",
       "      <th>actor_3_name</th>\n",
       "      <th>facenumber_in_poster</th>\n",
       "      <th>plot_keywords</th>\n",
       "      <th>movie_imdb_link</th>\n",
       "      <th>num_user_for_reviews</th>\n",
       "      <th>language</th>\n",
       "      <th>country</th>\n",
       "      <th>content_rating</th>\n",
       "      <th>budget</th>\n",
       "      <th>title_year</th>\n",
       "      <th>actor_2_facebook_likes</th>\n",
       "      <th>imdb_score</th>\n",
       "      <th>aspect_ratio</th>\n",
       "      <th>movie_facebook_likes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [color, director_name, num_critic_for_reviews, duration, director_facebook_likes, actor_3_facebook_likes, actor_2_name, actor_1_facebook_likes, gross, genres, actor_1_name, movie_title, num_voted_users, cast_total_facebook_likes, actor_3_name, facenumber_in_poster, plot_keywords, movie_imdb_link, num_user_for_reviews, language, country, content_rating, budget, title_year, actor_2_facebook_likes, imdb_score, aspect_ratio, movie_facebook_likes]\n",
       "Index: []"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies[movies['movie_title'].str.contains('Hitcher')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "movies=movies[['gross','genres','language','country','budget','content_rating','title_year']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "movies=movies[movies['title_year']>1995]\n",
    "movies=movies[movies['title_year']<2016]\n",
    "movies=movies[movies['country']=='USA']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gross</th>\n",
       "      <th>genres</th>\n",
       "      <th>language</th>\n",
       "      <th>country</th>\n",
       "      <th>budget</th>\n",
       "      <th>content_rating</th>\n",
       "      <th>title_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>760505847.0</td>\n",
       "      <td>Action|Adventure|Fantasy|Sci-Fi</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>237000000.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>2009.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         gross                           genres language country       budget  \\\n",
       "0  760505847.0  Action|Adventure|Fantasy|Sci-Fi  English     USA  237000000.0   \n",
       "\n",
       "  content_rating  title_year  \n",
       "0          PG-13      2009.0  "
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\minim\\Anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:3: DeprecationWarning: pandas.core.common.is_list_like is deprecated. import from the public API: pandas.api.types.is_list_like instead\n",
      "  app.launch_new_instance()\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1d29909e3c8>"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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GUXU7KbHBDnkeJlPQBV807ddxWQghxKjTNI1XPlXZlldDbEQAtyxIZoZicqkFAoQQjtfS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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1d2990646d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas_datareader import fred\n",
    "\n",
    "gdp = fred.FredReader(['GPDIC96'], start='1995-01-01').read().rename(columns={\n",
    "                    \"GPDIC96\": \"Private Investment\"})\n",
    "gdp.plot(figsize=(12, 6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import datetime\n",
    "movies['title_year']=movies['title_year'].apply(lambda x: datetime.datetime.strptime(str(x).split(\".\")[0],\"%Y\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "movies['count']=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\minim\\Anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:1: FutureWarning: how in .resample() is deprecated\n",
      "the new syntax is .resample(...).sum()\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "comb=gdp.resample(\"As\",how=\"sum\").reset_index().merge(pd.DataFrame(movies.groupby(\"title_year\").agg(np.sum)).reset_index(),left_on=\"DATE\",right_on=\"title_year\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE</th>\n",
       "      <th>Private Investment</th>\n",
       "      <th>title_year</th>\n",
       "      <th>gross</th>\n",
       "      <th>budget</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1996-01-01</td>\n",
       "      <td>6746.738</td>\n",
       "      <td>1996-01-01</td>\n",
       "      <td>3.885196e+09</td>\n",
       "      <td>2.923620e+09</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1997-01-01</td>\n",
       "      <td>7515.895</td>\n",
       "      <td>1997-01-01</td>\n",
       "      <td>4.772853e+09</td>\n",
       "      <td>3.532775e+09</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1998-01-01</td>\n",
       "      <td>8233.326</td>\n",
       "      <td>1998-01-01</td>\n",
       "      <td>4.489484e+09</td>\n",
       "      <td>3.537920e+09</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1999-01-01</td>\n",
       "      <td>8925.490</td>\n",
       "      <td>1999-01-01</td>\n",
       "      <td>5.585373e+09</td>\n",
       "      <td>4.180512e+09</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2000-01-01</td>\n",
       "      <td>9502.083</td>\n",
       "      <td>2000-01-01</td>\n",
       "      <td>6.214243e+09</td>\n",
       "      <td>5.041467e+09</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2001-01-01</td>\n",
       "      <td>8925.790</td>\n",
       "      <td>2001-01-01</td>\n",
       "      <td>6.920250e+09</td>\n",
       "      <td>5.150040e+09</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2002-01-01</td>\n",
       "      <td>8872.957</td>\n",
       "      <td>2002-01-01</td>\n",
       "      <td>7.544467e+09</td>\n",
       "      <td>5.305099e+09</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2003-01-01</td>\n",
       "      <td>9234.788</td>\n",
       "      <td>2003-01-01</td>\n",
       "      <td>7.107731e+09</td>\n",
       "      <td>5.092503e+09</td>\n",
       "      <td>135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2004-01-01</td>\n",
       "      <td>10045.387</td>\n",
       "      <td>2004-01-01</td>\n",
       "      <td>7.349406e+09</td>\n",
       "      <td>5.882743e+09</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2005-01-01</td>\n",
       "      <td>10690.367</td>\n",
       "      <td>2005-01-01</td>\n",
       "      <td>6.306235e+09</td>\n",
       "      <td>5.147688e+09</td>\n",
       "      <td>154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2006-01-01</td>\n",
       "      <td>10920.170</td>\n",
       "      <td>2006-01-01</td>\n",
       "      <td>6.961701e+09</td>\n",
       "      <td>4.869932e+09</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2007-01-01</td>\n",
       "      <td>10576.556</td>\n",
       "      <td>2007-01-01</td>\n",
       "      <td>7.478479e+09</td>\n",
       "      <td>5.478097e+09</td>\n",
       "      <td>151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2008-01-01</td>\n",
       "      <td>9583.910</td>\n",
       "      <td>2008-01-01</td>\n",
       "      <td>7.891739e+09</td>\n",
       "      <td>6.154850e+09</td>\n",
       "      <td>163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2009-01-01</td>\n",
       "      <td>7512.459</td>\n",
       "      <td>2009-01-01</td>\n",
       "      <td>9.108964e+09</td>\n",
       "      <td>6.574000e+09</td>\n",
       "      <td>184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2010-01-01</td>\n",
       "      <td>8481.653</td>\n",
       "      <td>2010-01-01</td>\n",
       "      <td>9.270411e+09</td>\n",
       "      <td>7.391255e+09</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>8921.654</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>8.072113e+09</td>\n",
       "      <td>6.662081e+09</td>\n",
       "      <td>164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2012-01-01</td>\n",
       "      <td>9862.947</td>\n",
       "      <td>2012-01-01</td>\n",
       "      <td>1.030768e+10</td>\n",
       "      <td>7.078132e+09</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>10466.159</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>9.582612e+09</td>\n",
       "      <td>7.633732e+09</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>10934.313</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>8.993068e+09</td>\n",
       "      <td>6.525753e+09</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>11476.091</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>8.502425e+09</td>\n",
       "      <td>6.418910e+09</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         DATE  Private Investment title_year         gross        budget  \\\n",
       "0  1996-01-01            6746.738 1996-01-01  3.885196e+09  2.923620e+09   \n",
       "1  1997-01-01            7515.895 1997-01-01  4.772853e+09  3.532775e+09   \n",
       "2  1998-01-01            8233.326 1998-01-01  4.489484e+09  3.537920e+09   \n",
       "3  1999-01-01            8925.490 1999-01-01  5.585373e+09  4.180512e+09   \n",
       "4  2000-01-01            9502.083 2000-01-01  6.214243e+09  5.041467e+09   \n",
       "5  2001-01-01            8925.790 2001-01-01  6.920250e+09  5.150040e+09   \n",
       "6  2002-01-01            8872.957 2002-01-01  7.544467e+09  5.305099e+09   \n",
       "7  2003-01-01            9234.788 2003-01-01  7.107731e+09  5.092503e+09   \n",
       "8  2004-01-01           10045.387 2004-01-01  7.349406e+09  5.882743e+09   \n",
       "9  2005-01-01           10690.367 2005-01-01  6.306235e+09  5.147688e+09   \n",
       "10 2006-01-01           10920.170 2006-01-01  6.961701e+09  4.869932e+09   \n",
       "11 2007-01-01           10576.556 2007-01-01  7.478479e+09  5.478097e+09   \n",
       "12 2008-01-01            9583.910 2008-01-01  7.891739e+09  6.154850e+09   \n",
       "13 2009-01-01            7512.459 2009-01-01  9.108964e+09  6.574000e+09   \n",
       "14 2010-01-01            8481.653 2010-01-01  9.270411e+09  7.391255e+09   \n",
       "15 2011-01-01            8921.654 2011-01-01  8.072113e+09  6.662081e+09   \n",
       "16 2012-01-01            9862.947 2012-01-01  1.030768e+10  7.078132e+09   \n",
       "17 2013-01-01           10466.159 2013-01-01  9.582612e+09  7.633732e+09   \n",
       "18 2014-01-01           10934.313 2014-01-01  8.993068e+09  6.525753e+09   \n",
       "19 2015-01-01           11476.091 2015-01-01  8.502425e+09  6.418910e+09   \n",
       "\n",
       "    count  \n",
       "0      86  \n",
       "1      94  \n",
       "2     100  \n",
       "3     132  \n",
       "4     136  \n",
       "5     149  \n",
       "6     157  \n",
       "7     135  \n",
       "8     156  \n",
       "9     154  \n",
       "10    165  \n",
       "11    151  \n",
       "12    163  \n",
       "13    184  \n",
       "14    167  \n",
       "15    164  \n",
       "16    173  \n",
       "17    171  \n",
       "18    187  \n",
       "19    171  "
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "del comb['title_year']\n",
    "comb=comb.rename(columns={\"DATE\": \"Year\",0:\"Movies Released\"})\n",
    "comb=comb.set_index(\"Year\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def scale_df(df):\n",
    "    df=df.copy()\n",
    "    for col in df.columns:\n",
    "        df[col]=df[col]/df[col].iloc[0]\n",
    "    return df\n",
    "comb=scale_df(comb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1996-01-01 00:00:00'"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str(comb.index.tolist()[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "comb.index=[int(str(x).split(\"-\")[0]) for x in comb.index.tolist()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "range(1996, 2015)"
      ]
     },
     "execution_count": 223,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JZMq1FS0+Po6goKEkJSUSHx9PmzZtGTx4OPHxcSxZsoBFi1bg7OzMG2+8xu7d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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1d29b5e8160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax=comb.rename(columns={\"gross\": \"Movie Gross Revenues\", \"Private Investment\": \"Private Investment (FRED)\", \"budget\": \"Movie Budget Amount\", \"count\": \"Number of Movies Released\"}).plot(figsize=(14, 8.2))\n",
    "plt.title(\"US Movie Industry Compared with the Great Recession\")\n",
    "for item in ([ax.title, ax.xaxis.label, ax.yaxis.label] +\n",
    "             ax.get_xticklabels() + ax.get_yticklabels()):\n",
    "    item.set_fontsize(14)\n",
    "ax.set_xticks(range(min(comb.index),max(comb.index)+1))\n",
    "ax.set_xticklabels(comb.index)\n",
    "plt.xlabel(\"Year\")\n",
    "plt.ylabel(\"Scaled Metric\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1d2967274e0>"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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koAT4ida6oGFfJTDKHS7e+2YPK7bmEmm3cuvknowflCpnIgpTyOjSmu6p8Wza\nc4yDeSV0To6r0+srHG7+8fFWdhwopE9aa2Zd15+oSDk0OlTUtwdwJWDXWo8G/gL8DXgGeERrPRaw\nANcqpVKA+4ExwBTgcaVUFHAvsM1X9y3gkYZ9jcDYe6SIP7+2jhVbc+mcHMt/3z6MywZ3lMZfmIbF\nYuHq0V2BuvcCyipcPDN3MzsOFDIwvR33/0ga/1BT330AuwG7UsoKxANOYCSw1Dd/ATAZb+8gU2td\nAVQopbKB/sAlwJN+df9YzzgCwu3x8MXK75mXeQDDMJg6sjM/GNtNLuUgTKlftzakpcSxQReQU1B6\nUdezKi1z8swHmzlwtIThGUncNa23/P2EoPomgFK8wz+7gHbANGCc1trwzS8BEvAmhyK/19VUXll2\nQYmJdet+1sfR46d45v3N7DxwgnYJ0fzq5iH0S6/fpXGbIt7GJPEGXrjFXBnvLVMzeOz1tSzamMNv\nbxla62sKS8p55s31HDhawqRhnZk1YyC2Jrr6bbgu32CpbwJ4APhKa/0HpVQnYAkQ6Tc/DjgJFPum\nayuvLLugQJ5ZaxgGK7OO8u6i3ZQ73AzPSOLWKYqY6Ih6fW5iYlxYnQks8QZeuMXsH2/XpBg6JcWy\nfHMOVwzrREqbmu9lcaK4nP99fzN5J04zYXAqN07ozonjpU0ebzhoqnhrSzL17ZMVcmYL/gQQAWxS\nSo33lU0FlgNrgbFKqWilVAKQgXcHcSbe/Qj+dYOmtMzJnM+28+oXOwG4a1oG91zThxi5b60QQOW+\ngDQMA744z76A/JNlPPHuRvJOnGbqiM78+PKecj2fEFffHsCzwGtKqeV4t/wfAtYDLyulIoGdwIda\na7dSajbeBt4KPKy1LldKzQHeVEqtABzAzQ39IvW18/tCXpm/g8KSCtI7JnD3tN4kymnpQpxjsEok\ntV0Mq7bncfUlXc+6fEPu8VM89f5mCksqmD62K1ePTpODJcKAxTCMC9cKDUZjdpecLg+fLN/HV2sO\nYrFYuPaSNK4c1QWbtXF2VEl3NLDCLV4Iv5hrinf1jqP8a94Oxg1oz+1TMwA4lF/KU+9vouS0kxsm\npDNleOdghNsslm+APue8mdiUZwIfOXaKf83bzsH8UpJat+Duq3vTvUPjXOtEiOZseK9kPltxgMxt\nR5k2Oo3iU06enbuZ0+UubpuiGD8oNdghijowVQIwDIMlG3OY+202TpeHsf3bc9OkHnL1TiEuktVq\nYdqoLrxIK5bgAAASX0lEQVT6xU7eWLCLfUeKqXC6uXNaBqP7tg92eKKOTNPylZY5eWX+DrbuPU5M\ntJ2ZV/dmiJJLOQhRVyP7JDMvcz87DhRis1q499q+clmUMGWKBLA3p4g5n2VxoriC3mmtufOq3rSO\niwp2WEKEJZvVyg0TevDBkj3cPKknA+p5nowIvmadAAzDYNH6w/zn22w8hsH0sV2ZNioNaxOdlCJE\nczW4ZyKDeyYGOwzRQM02AZwud/Lal7vYuLuA+JYR3HNNHzLS2gQ7LCGECBnNMgF8f7SEFz/dRsHJ\nclSnVtxzbR9axcqQjxBC+GtWCcAwDL7bfIR/f7MHl9vDVaO6MH1s10Y7tl8IIZqTZpMAyh0u3lqo\nWb0jj5hoO7Ou60v/7rJzSgghzqdZJIDDBaXM+TSL3OOn6d4hnp9d25e2CXKvUSGEqE3YJ4DMbbm8\n/ZXG4fIweVgnfjS+u1x3XAghLkLYJoAKp5t3F+1mxdZcWkTZue/qPgxRcliaEEJcrLBMALnHTzHn\n0ywOF5yic3IsP5/el6TWNV+fXAghRM3CLgGs3ZnH6wt2UeFwc9mgVG6cmE6EXe4zKoQQdRU2CcDp\ncvPO15olG3OIirAx8+rejOyTEuywhBAibIVNAnjw+RVkHzpJarsYfv6DvrRvGxPskIQQIqyFTQLI\nPnSSMX1TuGWKIipChnyEEKKhwiYBzP71eGIj5PBOIYRoLGHTonaVO3YJIUSjCpsEIIQQonFJAhBC\nCJOSBCCEECYlCUAIIUxKEoAQQpiUJAAhhDApSQBCCGFS9T4RTCn1B+AaIBJ4EVgKvAEYQBZwn9ba\no5S6G7gHcAGPaa3nK6VaAO8ASUAJ8BOtdUFDvogQQoi6qVcPQCk1HhgNjAEuBToBzwCPaK3HAhbg\nWqVUCnC/r94U4HGlVBRwL7DNV/ct4JEGfg8hhBB1VN8hoCnANuAT4HNgPjAEby8AYAEwCRgOZGqt\nK7TWRUA20B+4BFhYra4QQogmVN8hoHZAF2Aa0BWYB1i11oZvfgmQAMQDRX6vq6m8suyCEhPj6hlu\ncEi8gRVu8UL4xSzxBlaw461vAjgO7NJaOwCtlCrHOwxUKQ44CRT7pmsrryy7oIKCknqG2/QSE+Mk\n3gAKt3gh/GKWeAOrqeKtLcnUdwhoBXCFUsqilOoAxACLffsGAKYCy4G1wFilVLRSKgHIwLuDOBO4\nslpdIYQQTahePQDfkTzj8DbwVuA+YD/wslIqEtgJfKi1diulZuNt4K3Aw1rrcqXUHOBNpdQKwAHc\n3AjfRQghRB3U+zBQrfWDNRRfWkO9l4GXq5WdBq6v72cLIYRoODkRTAghTEoSgBBCmJQkACGEMClJ\nAEIIYVKSAIQQwqQkAQghhElJAhBCCJOSBCCEECYlCUAIIUxKEoAQQpiUJAAhhDApSQBCCGFSkgCE\nEMKkJAEIIYRJSQIQQgiTkgQghBAmJQlACCFMShKAEEKYlCQAIYQwKUkAQghhUpIAhBDCpCQBCCGE\nSUkCEEIIk5IEIIQQJiUJQAghTEoSgBBCmJQkACGEMCl7Q16slEoCNgCXAy7gDcAAsoD7tNYepdTd\nwD2++Y9precrpVoA7wBJQAnwE611QUNiEUIIUTf17gEopSKAfwJlvqJngEe01mMBC3CtUioFuB8Y\nA0wBHldKRQH3Att8dd8CHqn/VxBCCFEfDRkCegp4CTjiez4EWOqbXgBMAoYDmVrrCq11EZAN9Acu\nARZWqyuEEKIJ1WsISCl1O1Cgtf5KKfUHX7FFa234pkuABCAeKPJ7aU3llWUXlJgYV59wg0biDaxw\nixfCL2aJN7CCHW999wHcARhKqUnAQLzDOEl+8+OAk0Cxb7q28sqyCyooKKlnuE0vMTFO4g2gcIsX\nwi9miTewmire2pJMvYaAtNbjtNaXaq3HA5uB24AFSqnxvipTgeXAWmCsUipaKZUAZODdQZwJXFmt\nrhBCiCbUmIeB/hp4VCm1CogEPtRaHwVm423glwAPa63LgTlAH6XUCmAm8GgjxiGEEOIiNOgwUABf\nL6DSpTXMfxl4uVrZaeD6hn62EEKI+pMTwYQQwqQkAQghhElJAhBCCJOSBCCEECYlCUAIIUxKEoAQ\nQpiUJAAhhDApSQBCCGFSkgCEEMKkJAEIIYRJSQIQQgiTkgQghBAmJQlACCFMShKAEEKYlCQAIYQw\nKUkAQghhUpIAhBDCpCQBCCGESUkCEEIIk5IEIIQQJiUJQAghTEoSgBBCmJQkACGEMClJAEIIYVKS\nAIQQwqQkAQghhElJAhBCCJOy1+dFSqkI4DUgDYgCHgN2AG8ABpAF3Ke19iil7gbuAVzAY1rr+Uqp\nFsA7QBJQAvxEa13QsK8ihBCiLurbA7gFOK61HgtcATwPPAM84iuzANcqpVKA+4ExwBTgcaVUFHAv\nsM1X9y3gkYZ9DSGEEHVV3wTwH+CPvmkL3q37IcBSX9kCYBIwHMjUWldorYuAbKA/cAmwsFpdIYQQ\nTaheQ0Ba61IApVQc8CHeLfintNaGr0oJkADEA0V+L62pvLLsghIT4+oTbtBIvIEVbvFC+MUs8QZW\nsOOtVwIAUEp1Aj4BXtRav6eUetJvdhxwEij2TddWXll2QQUFJfUNt8klJsZJvAEUbvFC+MUs8QZW\nU8VbW5Kp1xCQUioZ+Br4ndb6NV/xJqXUeN/0VGA5sBYYq5SKVkolABl4dxBnAldWqyuEEKIJ1bcH\n8BDQGvijUqpyX8AvgdlKqUhgJ/Ch1tqtlJqNt4G3Ag9rrcuVUnOAN5VSKwAHcHODvoUQQog6sxiG\nceFaocGQ7l3gSLyBF24xS7yB1YRDQJbzzZMTwYQQwqQkAQghhElJAhBCCJOSBCCEECYlCUAIIUxK\nEoAQQpiUJAAhhDApSQBCCGFSkgCEEMKkJAEIIYRJSQIQQgiTkgQghBAmJQlACCFMShKAEEKYlCQA\nIYQwKUkAQghhUpIAhBDCpCQBCCGESUkCEEIIk5IEIIQQJiUJQAghTEoSgBBCmJQkACGEMClJAEII\nYVL2YAcgRFMzDAMDo9ojvmmP75GqeR48uD1u3IYHj1H5eKbMbbi9zysfPWeee+d7MAwPrU/FUnbK\nRaQ1gghrBBE236PVToQ1gkjbmWmb1dbg71j1+R63b9qN2+PGZbhxeVw4PU6cbicOv2mnx4nT9zwi\n38rJklK/eb56HidOtwuX4cJusWO32omw+j9GYLfaiDjrseZ6EVYbVosNCxYsFsA7hcXinQKwWCy+\nad//Vc/PTFsAZ/RpCk+fOus9/N7lnPc8M/fseZW/o8f3252Z9iv3nKf8rPre9cVjGL4yt998g+g8\nO6WlZWfK8Hudx/vcbrFhs9qxW22+ZW3zLkuL99FWvdxqx2apnPbOS0xU511PJAE0EY/hweVxn/UH\n5DZc3obHMKrqeZsiqhqlM6UGlQVVdaoaqnNXyDMr2plGyFPVQFVryAw30UcjKC497ddouKoaN/8G\nxOWpuVGpfLRYLETaIr2NnO8x0hbhK4v0Tlu9zyNsEeeURdoiibDacXncVLgrcLgdONwOKtwOKjxn\npq2HDE6Wlp4932/a4Xbg8DhraOjPLNVQZrVYq5KBN1n4EoPFetbyd3ncVb+ly+838RieYH8FESLm\ndptz3nlhlwAMXzY90/icvQXmv1Xmv0V29paar3H0+DeUnnMazfNtBXj/2Jw43C5cnrO3mpweF063\nE7fFTYXTUVXm8riCvegand1iw2q1ebdSLDZsVhuGx0Op8zROtwOX4W7SeCKsEUTZIomyRRIfFUeE\nNQKLxYIVy5ktxaotxhrKLGe2HC1Yfc+9jbHVYvV+R4sVq9VWNW2z2HzzrFgtNmzWs+vafMvIioXo\nGDuFRd4tasdZW9xn1hvvPNc588qc5RR7SnAbHt8Wnq3qMyNtkVXL31b1W1ixW+xYrd4Y7GfNt3q3\nvm32M70Rq92vR+JN2u1ax3OqxOlL5mfmVda1W2y+3oSzauPG27NwnfVYc9mZ17h9vS44szHkwQNG\n9Q0iv00fv14bvnlR0RGUlzn8ys/dWML/XQy/ed4CqPq9vcuwchmf+Y2t1aZt55Rb/H5/i8VyzntY\nfI9tWsdSXFR+1uv939uC1Zfkvb0tl8c7XVXmOTPPXTXtq+Nx4/S9pjZBSwBKKSvwIjAAqADu0lpn\nn6/+Tz56gAq3I6S3bCxYfFu1EURFRBJtiyIuMha71fuHVvkYYYuo6sbh14Wlqnta+W5n3heLf8nZ\nZTWtkOesuNbqK+rZz9u2jqWk2FHVaNl9XXP7WY2K7azXVXajz8ftcePwOHG4nTg9DhxuJ47KR98W\nuvM8ZXarvarnEGWLIsrXO6hs4JPbtuZ0sctX5q1ntYT2Lq3ExDgKCkqCHcZFS0yMo8BWe7wRFu9w\nTigIy+VrCW68wfzlpgPRWutRSqmRwNPAteer3LlVKk6ny2+LqzJD285fZj17S8y/7NxMfqFsf3b5\n2VtM547bysoINquNFlYbLezRjfq+AImt4yhwhc/yFSIUBTMBXAIsBNBar1ZKDa2t8l8n/iasGlQh\nhAh1wUwA8UCR33O3UsqutT7vYHliYlzgo2pEEm9ghVu8EH4xS7yBFex4g5kAigH/b2+trfEHwqoH\nEJZDQBJvQIVbzBJvYDVVvLUlmWDuNcsErgTw7QPYFsRYhBDCdILZA/gEuFwptRLv4S8/DWIsQghh\nOkFLAFprD/CzYH2+EEKYXWgfOC2EECJgJAEIIYRJSQIQQgiTsvhfiEwIIYR5SA9ACCFMShKAEEKY\nlCQAIYQwKUkAQghhUpIAhBDCpCQBCCGESYXGrXz8XOhOYUqpq4H/BlzAa1rrl4MS6Jl4IoDXgDQg\nCnhMaz3Pb/4DwF1Aga/oHq21buo4/SmlNuK9GivAfq31T/3mhdryvR243fc0GhgIpGitT/rmh8zy\nVUqNAP6utR6vlEoH3sB7J+cs4D7f5U8q69bpjnhNEO9A4B+A2xfPbVrrvGr1z7veBCHeQcB8YI9v\n9hyt9Qd+dUNt+b4PpPhmpQGrtdY3Vqvf5Ms35BIAtdwpzNfYPgsMA04BmUqpedVX1CZ2C3Bca32r\nUqoNsBmY5zd/CN4/pg1Bia4apVQ0YNFaj69hXsgtX631G3gbUpRSL+BNSif9qoTE8lVKPQjcine5\nATwDPKK1/k4p9RLedfgTv5fU6Y54TRDvc8AvtNablVL3AL8DfuVX/7zrTVOoId4hwDNa66fP85KQ\nWr6Vjb1SqjXwLfBAtfpBWb6hOAR01p3CAP87hWUA2VrrQq21A1gBjGv6EM/yH+CPvmkL3i1nf0OA\nPyilViil/tCkkdVsANBSKfW1UmqJ74+jUiguXwB8d4zro7X+V7VZobJ89wLX+T0fAiz1TS8AJlWr\nX9t63hSqx3uj1nqzb9oOlFerX9t60xRqWr5XKaWWKaVeVUpVv+h9qC3fSo8C/9Ba51YrD8ryDcUE\nUOOdws4zrwRIaKrAaqK1LtVal/hWwA+BR6pVeR/vVU8nAJcopaY1dYzVnAaeAqbgjevdUF6+fh7C\n+8dTXUgsX631R4DTr8iita48zb6m5Vjbeh5w1eOtbJCUUqOBWXh7gv5qW28Crobluxb4rdZ6HLAP\n+FO1l4TU8gVQSiUBE/H1aKsJyvINxQRQ253Cqs+LA/yHA4JCKdUJb7fuba31e37lFuD/tNbHfFvU\nXwCDghRmpd3AO1prQ2u9GzgOtPfNC9Xl2wpQWutvq5WH4vKt5PGbrmk51vmOeIGmlLoBeAm4Smtd\nUG12betNMHziN+z3Cef+7iG3fIEfAe9prd01zAvK8g3FBFDbncJ2Aj2UUm2UUpF4hydWNX2IZyil\nkoGvgd9prV+rNjseyFJKxfoaqwlAsPcF3IF3PBSlVAe8MVZ2R0Nu+fqMAxbXUB6Ky7fSJqXUeN/0\nVGB5tfkhdUc8pdQteLf8x2ut99VQpbb1Jhi+UkoN901P5NzfPaSWr88kvMOBNQnK8g3FncDn3ClM\nKXUzEKu1/pdS6lfAV3iT12ta65wgxgreoYnWwB+VUpX7Al4GYnzxPoS3d1ABLNZafxmkOCu9Cryh\nlFqB9wiVO4AZSqlQXb4ACm833/vk7PUh1JZvpV8DL/sS6U68w4Mopd7CO0wYMnfEU0rZgNnAQeBj\npRTAUq31n/ziPWe9CfIW9b3AP5RSTuAoMBNCc/n6OWs9hrPiDcrylauBCiGESYXiEJAQQogmIAlA\nCCFMShKAEEKYlCQAIYQwKUkAQghhUpIAhBDCpCQBCCGESUkCEEIIk/p/Dh3WIP53eOQAAAAASUVO\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1d2966882e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "comb[['DATE','Private Investment',0]].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}