03_01_Manipulation_des_donnees_avec_Pandas.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ZTqOT5wsmKfQ"
   },
   "source": [
    "Pandas est la librairie Python utilisé pour la manipulation des données tabulaires. Elle est basé sur numpy et propose des méthodes pour importer, analyser, selectionner, filtrer, visualiser et exporter des données."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Les bases d'un dataframe Python"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Le code suivant nous permet d'importer pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "0thVqiafBOFj"
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pour découvrir les capacités de Pandas, nous commencerons pas le **DataFrame** qui est l'objet Pandas qui represente les données tabulaires. Une donnée tabulaire est simplement une donnée sous forme de tableau, qui présente des lignes et des colonnes. Voyons cela avec une donnée réelle."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous avons dans le dossier datasets un fichier movie.csv qui contient plusieurs films et leurs caractéristiques."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "dossier = 'datasets/'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pour importer les données dans ce fichier , nous utiliserons la fonction `read_csv` et on lui passe de chemin de fichier `movie.csv`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'datasets/movie.csv'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dossier + 'movie.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "ZP_b7oUTBnbp"
   },
   "outputs": [],
   "source": [
    "movie = pd.read_csv(dossier + 'movie.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "La variable movie contient nos données et elle est de type DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(movie)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Affichons cette variable pour voir ce qu'il y a à l'intérieur :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>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",
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       "      <th>num_user_for_reviews</th>\n",
       "      <th>language</th>\n",
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       "      <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",
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       "      <td>1000.0</td>\n",
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       "      <td>Action|Adventure|Fantasy|Sci-Fi</td>\n",
       "      <td>...</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",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Color</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "      <td>302.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>563.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Orlando Bloom</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>309404152.0</td>\n",
       "      <td>Action|Adventure|Fantasy</td>\n",
       "      <td>...</td>\n",
       "      <td>1238.0</td>\n",
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       "      <td>PG-13</td>\n",
       "      <td>300000000.0</td>\n",
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       "      <td>7.1</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Color</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>602.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>Rory Kinnear</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>200074175.0</td>\n",
       "      <td>Action|Adventure|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>994.0</td>\n",
       "      <td>English</td>\n",
       "      <td>UK</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>245000000.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>2.35</td>\n",
       "      <td>85000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Color</td>\n",
       "      <td>Christopher Nolan</td>\n",
       "      <td>813.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>Christian Bale</td>\n",
       "      <td>27000.0</td>\n",
       "      <td>448130642.0</td>\n",
       "      <td>Action|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>2701.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>2.35</td>\n",
       "      <td>164000</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Doug Walker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rob Walker</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Documentary</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>12.0</td>\n",
       "      <td>7.1</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Color</td>\n",
       "      <td>Andrew Stanton</td>\n",
       "      <td>462.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>475.0</td>\n",
       "      <td>530.0</td>\n",
       "      <td>Samantha Morton</td>\n",
       "      <td>640.0</td>\n",
       "      <td>73058679.0</td>\n",
       "      <td>Action|Adventure|Sci-Fi</td>\n",
       "      <td>...</td>\n",
       "      <td>738.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>263700000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>632.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.35</td>\n",
       "      <td>24000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Color</td>\n",
       "      <td>Sam Raimi</td>\n",
       "      <td>392.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>James Franco</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>336530303.0</td>\n",
       "      <td>Action|Adventure|Romance</td>\n",
       "      <td>...</td>\n",
       "      <td>1902.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>258000000.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>6.2</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Color</td>\n",
       "      <td>Nathan Greno</td>\n",
       "      <td>324.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>284.0</td>\n",
       "      <td>Donna Murphy</td>\n",
       "      <td>799.0</td>\n",
       "      <td>200807262.0</td>\n",
       "      <td>Adventure|Animation|Comedy|Family|Fantasy|Musi...</td>\n",
       "      <td>...</td>\n",
       "      <td>387.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG</td>\n",
       "      <td>260000000.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>553.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>1.85</td>\n",
       "      <td>29000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Color</td>\n",
       "      <td>Joss Whedon</td>\n",
       "      <td>635.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>Robert Downey Jr.</td>\n",
       "      <td>26000.0</td>\n",
       "      <td>458991599.0</td>\n",
       "      <td>Action|Adventure|Sci-Fi</td>\n",
       "      <td>...</td>\n",
       "      <td>1117.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>21000.0</td>\n",
       "      <td>7.5</td>\n",
       "      <td>2.35</td>\n",
       "      <td>118000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Color</td>\n",
       "      <td>David Yates</td>\n",
       "      <td>375.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>282.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>Daniel Radcliffe</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>301956980.0</td>\n",
       "      <td>Adventure|Family|Fantasy|Mystery</td>\n",
       "      <td>...</td>\n",
       "      <td>973.0</td>\n",
       "      <td>English</td>\n",
       "      <td>UK</td>\n",
       "      <td>PG</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>7.5</td>\n",
       "      <td>2.35</td>\n",
       "      <td>10000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Color</td>\n",
       "      <td>Zack Snyder</td>\n",
       "      <td>673.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>Lauren Cohan</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>330249062.0</td>\n",
       "      <td>Action|Adventure|Sci-Fi</td>\n",
       "      <td>...</td>\n",
       "      <td>3018.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.35</td>\n",
       "      <td>197000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Color</td>\n",
       "      <td>Bryan Singer</td>\n",
       "      <td>434.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>903.0</td>\n",
       "      <td>Marlon Brando</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>200069408.0</td>\n",
       "      <td>Action|Adventure|Sci-Fi</td>\n",
       "      <td>...</td>\n",
       "      <td>2367.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>209000000.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Color</td>\n",
       "      <td>Marc Forster</td>\n",
       "      <td>403.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>395.0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>Mathieu Amalric</td>\n",
       "      <td>451.0</td>\n",
       "      <td>168368427.0</td>\n",
       "      <td>Action|Adventure</td>\n",
       "      <td>...</td>\n",
       "      <td>1243.0</td>\n",
       "      <td>English</td>\n",
       "      <td>UK</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>200000000.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>412.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Color</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "      <td>313.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>563.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Orlando Bloom</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>423032628.0</td>\n",
       "      <td>Action|Adventure|Fantasy</td>\n",
       "      <td>...</td>\n",
       "      <td>1832.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>225000000.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>2.35</td>\n",
       "      <td>5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Color</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "      <td>450.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>563.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Ruth Wilson</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>89289910.0</td>\n",
       "      <td>Action|Adventure|Western</td>\n",
       "      <td>...</td>\n",
       "      <td>711.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>215000000.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2.35</td>\n",
       "      <td>48000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Color</td>\n",
       "      <td>Zack Snyder</td>\n",
       "      <td>733.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>748.0</td>\n",
       "      <td>Christopher Meloni</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>291021565.0</td>\n",
       "      <td>Action|Adventure|Fantasy|Sci-Fi</td>\n",
       "      <td>...</td>\n",
       "      <td>2536.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>225000000.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>2.35</td>\n",
       "      <td>118000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Color</td>\n",
       "      <td>Andrew Adamson</td>\n",
       "      <td>258.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>Pierfrancesco Favino</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>141614023.0</td>\n",
       "      <td>Action|Adventure|Family|Fantasy</td>\n",
       "      <td>...</td>\n",
       "      <td>438.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG</td>\n",
       "      <td>225000000.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Color</td>\n",
       "      <td>Joss Whedon</td>\n",
       "      <td>703.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>Robert Downey Jr.</td>\n",
       "      <td>26000.0</td>\n",
       "      <td>623279547.0</td>\n",
       "      <td>Action|Adventure|Sci-Fi</td>\n",
       "      <td>...</td>\n",
       "      <td>1722.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>220000000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>21000.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>1.85</td>\n",
       "      <td>123000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Color</td>\n",
       "      <td>Rob Marshall</td>\n",
       "      <td>448.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>252.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Sam Claflin</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>241063875.0</td>\n",
       "      <td>Action|Adventure|Fantasy</td>\n",
       "      <td>...</td>\n",
       "      <td>484.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.35</td>\n",
       "      <td>58000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Color</td>\n",
       "      <td>Barry Sonnenfeld</td>\n",
       "      <td>451.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>718.0</td>\n",
       "      <td>Michael Stuhlbarg</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>179020854.0</td>\n",
       "      <td>Action|Adventure|Comedy|Family|Fantasy|Sci-Fi</td>\n",
       "      <td>...</td>\n",
       "      <td>341.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>225000000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>816.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>1.85</td>\n",
       "      <td>40000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Color</td>\n",
       "      <td>Peter Jackson</td>\n",
       "      <td>422.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>773.0</td>\n",
       "      <td>Adam Brown</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>255108370.0</td>\n",
       "      <td>Adventure|Fantasy</td>\n",
       "      <td>...</td>\n",
       "      <td>802.0</td>\n",
       "      <td>English</td>\n",
       "      <td>New Zealand</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>972.0</td>\n",
       "      <td>7.5</td>\n",
       "      <td>2.35</td>\n",
       "      <td>65000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Color</td>\n",
       "      <td>Marc Webb</td>\n",
       "      <td>599.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>464.0</td>\n",
       "      <td>963.0</td>\n",
       "      <td>Andrew Garfield</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>262030663.0</td>\n",
       "      <td>Action|Adventure|Fantasy</td>\n",
       "      <td>...</td>\n",
       "      <td>1225.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>230000000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.35</td>\n",
       "      <td>56000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Color</td>\n",
       "      <td>Ridley Scott</td>\n",
       "      <td>343.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>738.0</td>\n",
       "      <td>William Hurt</td>\n",
       "      <td>891.0</td>\n",
       "      <td>105219735.0</td>\n",
       "      <td>Action|Adventure|Drama|History</td>\n",
       "      <td>...</td>\n",
       "      <td>546.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>200000000.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>882.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.35</td>\n",
       "      <td>17000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Color</td>\n",
       "      <td>Peter Jackson</td>\n",
       "      <td>509.0</td>\n",
       "      <td>186.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>773.0</td>\n",
       "      <td>Adam Brown</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>258355354.0</td>\n",
       "      <td>Adventure|Fantasy</td>\n",
       "      <td>...</td>\n",
       "      <td>951.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>225000000.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>972.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>2.35</td>\n",
       "      <td>83000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Color</td>\n",
       "      <td>Chris Weitz</td>\n",
       "      <td>251.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Eva Green</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>70083519.0</td>\n",
       "      <td>Adventure|Family|Fantasy</td>\n",
       "      <td>...</td>\n",
       "      <td>666.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>180000000.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Color</td>\n",
       "      <td>Peter Jackson</td>\n",
       "      <td>446.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>Thomas Kretschmann</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>218051260.0</td>\n",
       "      <td>Action|Adventure|Drama|Romance</td>\n",
       "      <td>...</td>\n",
       "      <td>2618.0</td>\n",
       "      <td>English</td>\n",
       "      <td>New Zealand</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>207000000.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>919.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Color</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>315.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>794.0</td>\n",
       "      <td>Kate Winslet</td>\n",
       "      <td>29000.0</td>\n",
       "      <td>658672302.0</td>\n",
       "      <td>Drama|Romance</td>\n",
       "      <td>...</td>\n",
       "      <td>2528.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>200000000.0</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>2.35</td>\n",
       "      <td>26000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Color</td>\n",
       "      <td>Anthony Russo</td>\n",
       "      <td>516.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>Scarlett Johansson</td>\n",
       "      <td>21000.0</td>\n",
       "      <td>407197282.0</td>\n",
       "      <td>Action|Adventure|Sci-Fi</td>\n",
       "      <td>...</td>\n",
       "      <td>1022.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>2.35</td>\n",
       "      <td>72000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Color</td>\n",
       "      <td>Peter Berg</td>\n",
       "      <td>377.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>532.0</td>\n",
       "      <td>627.0</td>\n",
       "      <td>Alexander Skarsgård</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>65173160.0</td>\n",
       "      <td>Action|Adventure|Sci-Fi|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>751.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>209000000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.35</td>\n",
       "      <td>44000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Color</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>644.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>365.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Judy Greer</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>652177271.0</td>\n",
       "      <td>Action|Adventure|Sci-Fi|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>1290.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>150000000.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>150000</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>4886</th>\n",
       "      <td>Color</td>\n",
       "      <td>Eric Eason</td>\n",
       "      <td>28.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>Panchito Gómez</td>\n",
       "      <td>93.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Drama|Family</td>\n",
       "      <td>...</td>\n",
       "      <td>21.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.78</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4887</th>\n",
       "      <td>Color</td>\n",
       "      <td>Uwe Boll</td>\n",
       "      <td>58.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>892.0</td>\n",
       "      <td>492.0</td>\n",
       "      <td>Katharine Isabelle</td>\n",
       "      <td>986.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>129.0</td>\n",
       "      <td>English</td>\n",
       "      <td>Canada</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>918.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4888</th>\n",
       "      <td>Black and White</td>\n",
       "      <td>Richard Linklater</td>\n",
       "      <td>61.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Richard Linklater</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1227508.0</td>\n",
       "      <td>Comedy|Drama</td>\n",
       "      <td>...</td>\n",
       "      <td>80.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>R</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>1991.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>1.37</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4889</th>\n",
       "      <td>Color</td>\n",
       "      <td>Joseph Mazzella</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Mikaal Bates</td>\n",
       "      <td>313.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Crime|Drama|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4890</th>\n",
       "      <td>Color</td>\n",
       "      <td>Travis Legge</td>\n",
       "      <td>1.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>Suzi Lorraine</td>\n",
       "      <td>370.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Comedy|Romance</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.78</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4891</th>\n",
       "      <td>Color</td>\n",
       "      <td>Alex Kendrick</td>\n",
       "      <td>5.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>589.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Lisa Arnold</td>\n",
       "      <td>51.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Drama</td>\n",
       "      <td>...</td>\n",
       "      <td>49.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>6.9</td>\n",
       "      <td>1.85</td>\n",
       "      <td>725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4892</th>\n",
       "      <td>Color</td>\n",
       "      <td>Marcus Nispel</td>\n",
       "      <td>43.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>265.0</td>\n",
       "      <td>Brittany Curran</td>\n",
       "      <td>630.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Horror|Mystery|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>33.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>512.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.85</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4893</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Brandon Landers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>143.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Alana Kaniewski</td>\n",
       "      <td>720.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Drama|Horror|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17350.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4894</th>\n",
       "      <td>Color</td>\n",
       "      <td>Jay Duplass</td>\n",
       "      <td>51.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Katie Aselton</td>\n",
       "      <td>830.0</td>\n",
       "      <td>192467.0</td>\n",
       "      <td>Comedy|Drama|Romance</td>\n",
       "      <td>...</td>\n",
       "      <td>71.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>R</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>224.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4895</th>\n",
       "      <td>Black and White</td>\n",
       "      <td>Jim Chuchu</td>\n",
       "      <td>6.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Olwenya Maina</td>\n",
       "      <td>147.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Drama</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Swahili</td>\n",
       "      <td>Kenya</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4896</th>\n",
       "      <td>Color</td>\n",
       "      <td>Daryl Wein</td>\n",
       "      <td>22.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>211.0</td>\n",
       "      <td>Heather Burns</td>\n",
       "      <td>331.0</td>\n",
       "      <td>76382.0</td>\n",
       "      <td>Romance</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>212.0</td>\n",
       "      <td>6.2</td>\n",
       "      <td>2.35</td>\n",
       "      <td>324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4897</th>\n",
       "      <td>Color</td>\n",
       "      <td>Jason Trost</td>\n",
       "      <td>42.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>Jason Trost</td>\n",
       "      <td>407.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sci-Fi|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>35.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>Unrated</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.35</td>\n",
       "      <td>835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4898</th>\n",
       "      <td>Color</td>\n",
       "      <td>John Waters</td>\n",
       "      <td>73.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>Mink Stole</td>\n",
       "      <td>462.0</td>\n",
       "      <td>180483.0</td>\n",
       "      <td>Comedy|Crime|Horror</td>\n",
       "      <td>...</td>\n",
       "      <td>183.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>NC-17</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>1972.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.37</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4899</th>\n",
       "      <td>Color</td>\n",
       "      <td>Olivier Assayas</td>\n",
       "      <td>81.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>Béatrice Dalle</td>\n",
       "      <td>576.0</td>\n",
       "      <td>136007.0</td>\n",
       "      <td>Drama|Music|Romance</td>\n",
       "      <td>...</td>\n",
       "      <td>39.0</td>\n",
       "      <td>French</td>\n",
       "      <td>France</td>\n",
       "      <td>R</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.35</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4900</th>\n",
       "      <td>Color</td>\n",
       "      <td>Jafar Panahi</td>\n",
       "      <td>64.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>397.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Nargess Mamizadeh</td>\n",
       "      <td>5.0</td>\n",
       "      <td>673780.0</td>\n",
       "      <td>Drama</td>\n",
       "      <td>...</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Persian</td>\n",
       "      <td>Iran</td>\n",
       "      <td>Not Rated</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.5</td>\n",
       "      <td>1.85</td>\n",
       "      <td>697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4901</th>\n",
       "      <td>Black and White</td>\n",
       "      <td>Ivan Kavanagh</td>\n",
       "      <td>12.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Michael Parle</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Horror</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>English</td>\n",
       "      <td>Ireland</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>1.33</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4902</th>\n",
       "      <td>Color</td>\n",
       "      <td>Kiyoshi Kurosawa</td>\n",
       "      <td>78.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Anna Nakagawa</td>\n",
       "      <td>89.0</td>\n",
       "      <td>94596.0</td>\n",
       "      <td>Crime|Horror|Mystery|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1000000.0</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>1.85</td>\n",
       "      <td>817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4903</th>\n",
       "      <td>Color</td>\n",
       "      <td>Tadeo Garcia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>Michael Cortez</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Drama</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4904</th>\n",
       "      <td>Color</td>\n",
       "      <td>Thomas L. Phillips</td>\n",
       "      <td>13.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>Joe Coffey</td>\n",
       "      <td>785.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Comedy|Horror|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>200000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>5.4</td>\n",
       "      <td>16.00</td>\n",
       "      <td>424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4905</th>\n",
       "      <td>Color</td>\n",
       "      <td>Ash Baron-Cohen</td>\n",
       "      <td>10.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>Stanley B. Herman</td>\n",
       "      <td>789.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Crime|Drama</td>\n",
       "      <td>...</td>\n",
       "      <td>14.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1995.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>6.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4906</th>\n",
       "      <td>Color</td>\n",
       "      <td>Shane Carruth</td>\n",
       "      <td>143.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>291.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>David Sullivan</td>\n",
       "      <td>291.0</td>\n",
       "      <td>424760.0</td>\n",
       "      <td>Drama|Sci-Fi|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>371.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.85</td>\n",
       "      <td>19000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4907</th>\n",
       "      <td>Color</td>\n",
       "      <td>Neill Dela Llana</td>\n",
       "      <td>35.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Edgar Tancangco</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70071.0</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>35.0</td>\n",
       "      <td>English</td>\n",
       "      <td>Philippines</td>\n",
       "      <td>Not Rated</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4908</th>\n",
       "      <td>Color</td>\n",
       "      <td>Robert Rodriguez</td>\n",
       "      <td>56.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Peter Marquardt</td>\n",
       "      <td>121.0</td>\n",
       "      <td>2040920.0</td>\n",
       "      <td>Action|Crime|Drama|Romance|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>130.0</td>\n",
       "      <td>Spanish</td>\n",
       "      <td>USA</td>\n",
       "      <td>R</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>1992.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>6.9</td>\n",
       "      <td>1.37</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4909</th>\n",
       "      <td>Color</td>\n",
       "      <td>Anthony Vallone</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>John Considine</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Crime|Drama</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>3250.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4910</th>\n",
       "      <td>Color</td>\n",
       "      <td>Edward Burns</td>\n",
       "      <td>14.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>Caitlin FitzGerald</td>\n",
       "      <td>296.0</td>\n",
       "      <td>4584.0</td>\n",
       "      <td>Comedy|Drama</td>\n",
       "      <td>...</td>\n",
       "      <td>14.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>Not Rated</td>\n",
       "      <td>9000.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>6.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4911</th>\n",
       "      <td>Color</td>\n",
       "      <td>Scott Smith</td>\n",
       "      <td>1.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>318.0</td>\n",
       "      <td>Daphne Zuniga</td>\n",
       "      <td>637.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Comedy|Drama</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>English</td>\n",
       "      <td>Canada</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>470.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4912</th>\n",
       "      <td>Color</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>319.0</td>\n",
       "      <td>Valorie Curry</td>\n",
       "      <td>841.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Crime|Drama|Mystery|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>359.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>593.0</td>\n",
       "      <td>7.5</td>\n",
       "      <td>16.00</td>\n",
       "      <td>32000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4913</th>\n",
       "      <td>Color</td>\n",
       "      <td>Benjamin Roberds</td>\n",
       "      <td>13.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Maxwell Moody</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Drama|Horror|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4914</th>\n",
       "      <td>Color</td>\n",
       "      <td>Daniel Hsia</td>\n",
       "      <td>14.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>489.0</td>\n",
       "      <td>Daniel Henney</td>\n",
       "      <td>946.0</td>\n",
       "      <td>10443.0</td>\n",
       "      <td>Comedy|Drama|Romance</td>\n",
       "      <td>...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>719.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2.35</td>\n",
       "      <td>660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4915</th>\n",
       "      <td>Color</td>\n",
       "      <td>Jon Gunn</td>\n",
       "      <td>43.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>Brian Herzlinger</td>\n",
       "      <td>86.0</td>\n",
       "      <td>85222.0</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>...</td>\n",
       "      <td>84.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>1.85</td>\n",
       "      <td>456</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4916 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                color       director_name  num_critic_for_reviews  duration  \\\n",
       "0               Color       James Cameron                   723.0     178.0   \n",
       "1               Color      Gore Verbinski                   302.0     169.0   \n",
       "2               Color          Sam Mendes                   602.0     148.0   \n",
       "3               Color   Christopher Nolan                   813.0     164.0   \n",
       "4                 NaN         Doug Walker                     NaN       NaN   \n",
       "5               Color      Andrew Stanton                   462.0     132.0   \n",
       "6               Color           Sam Raimi                   392.0     156.0   \n",
       "7               Color        Nathan Greno                   324.0     100.0   \n",
       "8               Color         Joss Whedon                   635.0     141.0   \n",
       "9               Color         David Yates                   375.0     153.0   \n",
       "10              Color         Zack Snyder                   673.0     183.0   \n",
       "11              Color        Bryan Singer                   434.0     169.0   \n",
       "12              Color        Marc Forster                   403.0     106.0   \n",
       "13              Color      Gore Verbinski                   313.0     151.0   \n",
       "14              Color      Gore Verbinski                   450.0     150.0   \n",
       "15              Color         Zack Snyder                   733.0     143.0   \n",
       "16              Color      Andrew Adamson                   258.0     150.0   \n",
       "17              Color         Joss Whedon                   703.0     173.0   \n",
       "18              Color        Rob Marshall                   448.0     136.0   \n",
       "19              Color    Barry Sonnenfeld                   451.0     106.0   \n",
       "20              Color       Peter Jackson                   422.0     164.0   \n",
       "21              Color           Marc Webb                   599.0     153.0   \n",
       "22              Color        Ridley Scott                   343.0     156.0   \n",
       "23              Color       Peter Jackson                   509.0     186.0   \n",
       "24              Color         Chris Weitz                   251.0     113.0   \n",
       "25              Color       Peter Jackson                   446.0     201.0   \n",
       "26              Color       James Cameron                   315.0     194.0   \n",
       "27              Color       Anthony Russo                   516.0     147.0   \n",
       "28              Color          Peter Berg                   377.0     131.0   \n",
       "29              Color     Colin Trevorrow                   644.0     124.0   \n",
       "...               ...                 ...                     ...       ...   \n",
       "4886            Color          Eric Eason                    28.0      79.0   \n",
       "4887            Color            Uwe Boll                    58.0      80.0   \n",
       "4888  Black and White   Richard Linklater                    61.0     100.0   \n",
       "4889            Color     Joseph Mazzella                     NaN      90.0   \n",
       "4890            Color        Travis Legge                     1.0      90.0   \n",
       "4891            Color       Alex Kendrick                     5.0     120.0   \n",
       "4892            Color       Marcus Nispel                    43.0      91.0   \n",
       "4893              NaN     Brandon Landers                     NaN     143.0   \n",
       "4894            Color         Jay Duplass                    51.0      85.0   \n",
       "4895  Black and White          Jim Chuchu                     6.0      60.0   \n",
       "4896            Color          Daryl Wein                    22.0      88.0   \n",
       "4897            Color         Jason Trost                    42.0      78.0   \n",
       "4898            Color         John Waters                    73.0     108.0   \n",
       "4899            Color     Olivier Assayas                    81.0     110.0   \n",
       "4900            Color        Jafar Panahi                    64.0      90.0   \n",
       "4901  Black and White       Ivan Kavanagh                    12.0      83.0   \n",
       "4902            Color    Kiyoshi Kurosawa                    78.0     111.0   \n",
       "4903            Color        Tadeo Garcia                     NaN      84.0   \n",
       "4904            Color  Thomas L. Phillips                    13.0      82.0   \n",
       "4905            Color     Ash Baron-Cohen                    10.0      98.0   \n",
       "4906            Color       Shane Carruth                   143.0      77.0   \n",
       "4907            Color    Neill Dela Llana                    35.0      80.0   \n",
       "4908            Color    Robert Rodriguez                    56.0      81.0   \n",
       "4909            Color     Anthony Vallone                     NaN      84.0   \n",
       "4910            Color        Edward Burns                    14.0      95.0   \n",
       "4911            Color         Scott Smith                     1.0      87.0   \n",
       "4912            Color                 NaN                    43.0      43.0   \n",
       "4913            Color    Benjamin Roberds                    13.0      76.0   \n",
       "4914            Color         Daniel Hsia                    14.0     100.0   \n",
       "4915            Color            Jon Gunn                    43.0      90.0   \n",
       "\n",
       "      director_facebook_likes  actor_3_facebook_likes          actor_2_name  \\\n",
       "0                         0.0                   855.0      Joel David Moore   \n",
       "1                       563.0                  1000.0         Orlando Bloom   \n",
       "2                         0.0                   161.0          Rory Kinnear   \n",
       "3                     22000.0                 23000.0        Christian Bale   \n",
       "4                       131.0                     NaN            Rob Walker   \n",
       "5                       475.0                   530.0       Samantha Morton   \n",
       "6                         0.0                  4000.0          James Franco   \n",
       "7                        15.0                   284.0          Donna Murphy   \n",
       "8                         0.0                 19000.0     Robert Downey Jr.   \n",
       "9                       282.0                 10000.0      Daniel Radcliffe   \n",
       "10                        0.0                  2000.0          Lauren Cohan   \n",
       "11                        0.0                   903.0         Marlon Brando   \n",
       "12                      395.0                   393.0       Mathieu Amalric   \n",
       "13                      563.0                  1000.0         Orlando Bloom   \n",
       "14                      563.0                  1000.0           Ruth Wilson   \n",
       "15                        0.0                   748.0    Christopher Meloni   \n",
       "16                       80.0                   201.0  Pierfrancesco Favino   \n",
       "17                        0.0                 19000.0     Robert Downey Jr.   \n",
       "18                      252.0                  1000.0           Sam Claflin   \n",
       "19                      188.0                   718.0     Michael Stuhlbarg   \n",
       "20                        0.0                   773.0            Adam Brown   \n",
       "21                      464.0                   963.0       Andrew Garfield   \n",
       "22                        0.0                   738.0          William Hurt   \n",
       "23                        0.0                   773.0            Adam Brown   \n",
       "24                      129.0                  1000.0             Eva Green   \n",
       "25                        0.0                    84.0    Thomas Kretschmann   \n",
       "26                        0.0                   794.0          Kate Winslet   \n",
       "27                       94.0                 11000.0    Scarlett Johansson   \n",
       "28                      532.0                   627.0   Alexander Skarsgård   \n",
       "29                      365.0                  1000.0            Judy Greer   \n",
       "...                       ...                     ...                   ...   \n",
       "4886                      3.0                    42.0        Panchito Gómez   \n",
       "4887                    892.0                   492.0    Katharine Isabelle   \n",
       "4888                      0.0                     0.0     Richard Linklater   \n",
       "4889                      0.0                     9.0          Mikaal Bates   \n",
       "4890                    138.0                   138.0         Suzi Lorraine   \n",
       "4891                    589.0                     4.0           Lisa Arnold   \n",
       "4892                    158.0                   265.0       Brittany Curran   \n",
       "4893                      8.0                     8.0       Alana Kaniewski   \n",
       "4894                    157.0                    10.0         Katie Aselton   \n",
       "4895                      0.0                     4.0         Olwenya Maina   \n",
       "4896                     38.0                   211.0         Heather Burns   \n",
       "4897                     91.0                    86.0           Jason Trost   \n",
       "4898                      0.0                   105.0            Mink Stole   \n",
       "4899                    107.0                    45.0        Béatrice Dalle   \n",
       "4900                    397.0                     0.0     Nargess Mamizadeh   \n",
       "4901                     18.0                     0.0         Michael Parle   \n",
       "4902                     62.0                     6.0         Anna Nakagawa   \n",
       "4903                      5.0                    12.0        Michael Cortez   \n",
       "4904                    120.0                    84.0            Joe Coffey   \n",
       "4905                      3.0                   152.0     Stanley B. Herman   \n",
       "4906                    291.0                     8.0        David Sullivan   \n",
       "4907                      0.0                     0.0       Edgar Tancangco   \n",
       "4908                      0.0                     6.0       Peter Marquardt   \n",
       "4909                      2.0                     2.0        John Considine   \n",
       "4910                      0.0                   133.0    Caitlin FitzGerald   \n",
       "4911                      2.0                   318.0         Daphne Zuniga   \n",
       "4912                      NaN                   319.0         Valorie Curry   \n",
       "4913                      0.0                     0.0         Maxwell Moody   \n",
       "4914                      0.0                   489.0         Daniel Henney   \n",
       "4915                     16.0                    16.0      Brian Herzlinger   \n",
       "\n",
       "      actor_1_facebook_likes        gross  \\\n",
       "0                     1000.0  760505847.0   \n",
       "1                    40000.0  309404152.0   \n",
       "2                    11000.0  200074175.0   \n",
       "3                    27000.0  448130642.0   \n",
       "4                      131.0          NaN   \n",
       "5                      640.0   73058679.0   \n",
       "6                    24000.0  336530303.0   \n",
       "7                      799.0  200807262.0   \n",
       "8                    26000.0  458991599.0   \n",
       "9                    25000.0  301956980.0   \n",
       "10                   15000.0  330249062.0   \n",
       "11                   18000.0  200069408.0   \n",
       "12                     451.0  168368427.0   \n",
       "13                   40000.0  423032628.0   \n",
       "14                   40000.0   89289910.0   \n",
       "15                   15000.0  291021565.0   \n",
       "16                   22000.0  141614023.0   \n",
       "17                   26000.0  623279547.0   \n",
       "18                   40000.0  241063875.0   \n",
       "19                   10000.0  179020854.0   \n",
       "20                    5000.0  255108370.0   \n",
       "21                   15000.0  262030663.0   \n",
       "22                     891.0  105219735.0   \n",
       "23                    5000.0  258355354.0   \n",
       "24                   16000.0   70083519.0   \n",
       "25                    6000.0  218051260.0   \n",
       "26                   29000.0  658672302.0   \n",
       "27                   21000.0  407197282.0   \n",
       "28                   14000.0   65173160.0   \n",
       "29                    3000.0  652177271.0   \n",
       "...                      ...          ...   \n",
       "4886                    93.0          NaN   \n",
       "4887                   986.0          NaN   \n",
       "4888                     5.0    1227508.0   \n",
       "4889                   313.0          NaN   \n",
       "4890                   370.0          NaN   \n",
       "4891                    51.0          NaN   \n",
       "4892                   630.0          NaN   \n",
       "4893                   720.0          NaN   \n",
       "4894                   830.0     192467.0   \n",
       "4895                   147.0          NaN   \n",
       "4896                   331.0      76382.0   \n",
       "4897                   407.0          NaN   \n",
       "4898                   462.0     180483.0   \n",
       "4899                   576.0     136007.0   \n",
       "4900                     5.0     673780.0   \n",
       "4901                    10.0          NaN   \n",
       "4902                    89.0      94596.0   \n",
       "4903                    21.0          NaN   \n",
       "4904                   785.0          NaN   \n",
       "4905                   789.0          NaN   \n",
       "4906                   291.0     424760.0   \n",
       "4907                     0.0      70071.0   \n",
       "4908                   121.0    2040920.0   \n",
       "4909                    45.0          NaN   \n",
       "4910                   296.0       4584.0   \n",
       "4911                   637.0          NaN   \n",
       "4912                   841.0          NaN   \n",
       "4913                     0.0          NaN   \n",
       "4914                   946.0      10443.0   \n",
       "4915                    86.0      85222.0   \n",
       "\n",
       "                                                 genres  ...  \\\n",
       "0                       Action|Adventure|Fantasy|Sci-Fi  ...   \n",
       "1                              Action|Adventure|Fantasy  ...   \n",
       "2                             Action|Adventure|Thriller  ...   \n",
       "3                                       Action|Thriller  ...   \n",
       "4                                           Documentary  ...   \n",
       "5                               Action|Adventure|Sci-Fi  ...   \n",
       "6                              Action|Adventure|Romance  ...   \n",
       "7     Adventure|Animation|Comedy|Family|Fantasy|Musi...  ...   \n",
       "8                               Action|Adventure|Sci-Fi  ...   \n",
       "9                      Adventure|Family|Fantasy|Mystery  ...   \n",
       "10                              Action|Adventure|Sci-Fi  ...   \n",
       "11                              Action|Adventure|Sci-Fi  ...   \n",
       "12                                     Action|Adventure  ...   \n",
       "13                             Action|Adventure|Fantasy  ...   \n",
       "14                             Action|Adventure|Western  ...   \n",
       "15                      Action|Adventure|Fantasy|Sci-Fi  ...   \n",
       "16                      Action|Adventure|Family|Fantasy  ...   \n",
       "17                              Action|Adventure|Sci-Fi  ...   \n",
       "18                             Action|Adventure|Fantasy  ...   \n",
       "19        Action|Adventure|Comedy|Family|Fantasy|Sci-Fi  ...   \n",
       "20                                    Adventure|Fantasy  ...   \n",
       "21                             Action|Adventure|Fantasy  ...   \n",
       "22                       Action|Adventure|Drama|History  ...   \n",
       "23                                    Adventure|Fantasy  ...   \n",
       "24                             Adventure|Family|Fantasy  ...   \n",
       "25                       Action|Adventure|Drama|Romance  ...   \n",
       "26                                        Drama|Romance  ...   \n",
       "27                              Action|Adventure|Sci-Fi  ...   \n",
       "28                     Action|Adventure|Sci-Fi|Thriller  ...   \n",
       "29                     Action|Adventure|Sci-Fi|Thriller  ...   \n",
       "...                                                 ...  ...   \n",
       "4886                                       Drama|Family  ...   \n",
       "4887                              Action|Crime|Thriller  ...   \n",
       "4888                                       Comedy|Drama  ...   \n",
       "4889                               Crime|Drama|Thriller  ...   \n",
       "4890                                     Comedy|Romance  ...   \n",
       "4891                                              Drama  ...   \n",
       "4892                            Horror|Mystery|Thriller  ...   \n",
       "4893                              Drama|Horror|Thriller  ...   \n",
       "4894                               Comedy|Drama|Romance  ...   \n",
       "4895                                              Drama  ...   \n",
       "4896                                            Romance  ...   \n",
       "4897                                    Sci-Fi|Thriller  ...   \n",
       "4898                                Comedy|Crime|Horror  ...   \n",
       "4899                                Drama|Music|Romance  ...   \n",
       "4900                                              Drama  ...   \n",
       "4901                                             Horror  ...   \n",
       "4902                      Crime|Horror|Mystery|Thriller  ...   \n",
       "4903                                              Drama  ...   \n",
       "4904                             Comedy|Horror|Thriller  ...   \n",
       "4905                                        Crime|Drama  ...   \n",
       "4906                              Drama|Sci-Fi|Thriller  ...   \n",
       "4907                                           Thriller  ...   \n",
       "4908                Action|Crime|Drama|Romance|Thriller  ...   \n",
       "4909                                        Crime|Drama  ...   \n",
       "4910                                       Comedy|Drama  ...   \n",
       "4911                                       Comedy|Drama  ...   \n",
       "4912                       Crime|Drama|Mystery|Thriller  ...   \n",
       "4913                              Drama|Horror|Thriller  ...   \n",
       "4914                               Comedy|Drama|Romance  ...   \n",
       "4915                                        Documentary  ...   \n",
       "\n",
       "     num_user_for_reviews  language      country  content_rating       budget  \\\n",
       "0                  3054.0   English          USA           PG-13  237000000.0   \n",
       "1                  1238.0   English          USA           PG-13  300000000.0   \n",
       "2                   994.0   English           UK           PG-13  245000000.0   \n",
       "3                  2701.0   English          USA           PG-13  250000000.0   \n",
       "4                     NaN       NaN          NaN             NaN          NaN   \n",
       "5                   738.0   English          USA           PG-13  263700000.0   \n",
       "6                  1902.0   English          USA           PG-13  258000000.0   \n",
       "7                   387.0   English          USA              PG  260000000.0   \n",
       "8                  1117.0   English          USA           PG-13  250000000.0   \n",
       "9                   973.0   English           UK              PG  250000000.0   \n",
       "10                 3018.0   English          USA           PG-13  250000000.0   \n",
       "11                 2367.0   English          USA           PG-13  209000000.0   \n",
       "12                 1243.0   English           UK           PG-13  200000000.0   \n",
       "13                 1832.0   English          USA           PG-13  225000000.0   \n",
       "14                  711.0   English          USA           PG-13  215000000.0   \n",
       "15                 2536.0   English          USA           PG-13  225000000.0   \n",
       "16                  438.0   English          USA              PG  225000000.0   \n",
       "17                 1722.0   English          USA           PG-13  220000000.0   \n",
       "18                  484.0   English          USA           PG-13  250000000.0   \n",
       "19                  341.0   English          USA           PG-13  225000000.0   \n",
       "20                  802.0   English  New Zealand           PG-13  250000000.0   \n",
       "21                 1225.0   English          USA           PG-13  230000000.0   \n",
       "22                  546.0   English          USA           PG-13  200000000.0   \n",
       "23                  951.0   English          USA           PG-13  225000000.0   \n",
       "24                  666.0   English          USA           PG-13  180000000.0   \n",
       "25                 2618.0   English  New Zealand           PG-13  207000000.0   \n",
       "26                 2528.0   English          USA           PG-13  200000000.0   \n",
       "27                 1022.0   English          USA           PG-13  250000000.0   \n",
       "28                  751.0   English          USA           PG-13  209000000.0   \n",
       "29                 1290.0   English          USA           PG-13  150000000.0   \n",
       "...                   ...       ...          ...             ...          ...   \n",
       "4886                 21.0   English          USA             NaN      24000.0   \n",
       "4887                129.0   English       Canada               R          NaN   \n",
       "4888                 80.0   English          USA               R      23000.0   \n",
       "4889                  2.0   English          USA             NaN      25000.0   \n",
       "4890                  3.0   English          USA             NaN      22000.0   \n",
       "4891                 49.0   English          USA             NaN      20000.0   \n",
       "4892                 33.0   English          USA               R          NaN   \n",
       "4893                  8.0   English          USA             NaN      17350.0   \n",
       "4894                 71.0   English          USA               R      15000.0   \n",
       "4895                  1.0   Swahili        Kenya             NaN      15000.0   \n",
       "4896                  8.0   English          USA             NaN      15000.0   \n",
       "4897                 35.0   English          USA         Unrated      20000.0   \n",
       "4898                183.0   English          USA           NC-17      10000.0   \n",
       "4899                 39.0    French       France               R       4500.0   \n",
       "4900                 26.0   Persian         Iran       Not Rated      10000.0   \n",
       "4901                  1.0   English      Ireland             NaN      10000.0   \n",
       "4902                 50.0  Japanese        Japan             NaN    1000000.0   \n",
       "4903                  3.0   English          USA             NaN          NaN   \n",
       "4904                  8.0   English          USA             NaN     200000.0   \n",
       "4905                 14.0   English          USA             NaN          NaN   \n",
       "4906                371.0   English          USA           PG-13       7000.0   \n",
       "4907                 35.0   English  Philippines       Not Rated       7000.0   \n",
       "4908                130.0   Spanish          USA               R       7000.0   \n",
       "4909                  1.0   English          USA           PG-13       3250.0   \n",
       "4910                 14.0   English          USA       Not Rated       9000.0   \n",
       "4911                  6.0   English       Canada             NaN          NaN   \n",
       "4912                359.0   English          USA           TV-14          NaN   \n",
       "4913                  3.0   English          USA             NaN       1400.0   \n",
       "4914                  9.0   English          USA           PG-13          NaN   \n",
       "4915                 84.0   English          USA              PG       1100.0   \n",
       "\n",
       "      title_year actor_2_facebook_likes imdb_score  aspect_ratio  \\\n",
       "0         2009.0                  936.0        7.9          1.78   \n",
       "1         2007.0                 5000.0        7.1          2.35   \n",
       "2         2015.0                  393.0        6.8          2.35   \n",
       "3         2012.0                23000.0        8.5          2.35   \n",
       "4            NaN                   12.0        7.1           NaN   \n",
       "5         2012.0                  632.0        6.6          2.35   \n",
       "6         2007.0                11000.0        6.2          2.35   \n",
       "7         2010.0                  553.0        7.8          1.85   \n",
       "8         2015.0                21000.0        7.5          2.35   \n",
       "9         2009.0                11000.0        7.5          2.35   \n",
       "10        2016.0                 4000.0        6.9          2.35   \n",
       "11        2006.0                10000.0        6.1          2.35   \n",
       "12        2008.0                  412.0        6.7          2.35   \n",
       "13        2006.0                 5000.0        7.3          2.35   \n",
       "14        2013.0                 2000.0        6.5          2.35   \n",
       "15        2013.0                 3000.0        7.2          2.35   \n",
       "16        2008.0                  216.0        6.6          2.35   \n",
       "17        2012.0                21000.0        8.1          1.85   \n",
       "18        2011.0                11000.0        6.7          2.35   \n",
       "19        2012.0                  816.0        6.8          1.85   \n",
       "20        2014.0                  972.0        7.5          2.35   \n",
       "21        2012.0                10000.0        7.0          2.35   \n",
       "22        2010.0                  882.0        6.7          2.35   \n",
       "23        2013.0                  972.0        7.9          2.35   \n",
       "24        2007.0                 6000.0        6.1          2.35   \n",
       "25        2005.0                  919.0        7.2          2.35   \n",
       "26        1997.0                14000.0        7.7          2.35   \n",
       "27        2016.0                19000.0        8.2          2.35   \n",
       "28        2012.0                10000.0        5.9          2.35   \n",
       "29        2015.0                 2000.0        7.0          2.00   \n",
       "...          ...                    ...        ...           ...   \n",
       "4886      2002.0                   46.0        7.0          1.78   \n",
       "4887      2009.0                  918.0        6.3          2.35   \n",
       "4888      1991.0                    0.0        7.1          1.37   \n",
       "4889      2015.0                   25.0        4.8           NaN   \n",
       "4890      2013.0                  184.0        3.3          1.78   \n",
       "4891      2003.0                   49.0        6.9          1.85   \n",
       "4892      2015.0                  512.0        4.6          1.85   \n",
       "4893      2011.0                   19.0        3.0           NaN   \n",
       "4894      2005.0                  224.0        6.6           NaN   \n",
       "4895      2014.0                   19.0        7.4           NaN   \n",
       "4896      2009.0                  212.0        6.2          2.35   \n",
       "4897      2011.0                   91.0        4.0          2.35   \n",
       "4898      1972.0                  143.0        6.1          1.37   \n",
       "4899      2004.0                  133.0        6.9          2.35   \n",
       "4900      2000.0                    0.0        7.5          1.85   \n",
       "4901      2007.0                    5.0        6.7          1.33   \n",
       "4902      1997.0                   13.0        7.4          1.85   \n",
       "4903      2004.0                   20.0        6.1           NaN   \n",
       "4904      2012.0                   98.0        5.4         16.00   \n",
       "4905      1995.0                  194.0        6.4           NaN   \n",
       "4906      2004.0                   45.0        7.0          1.85   \n",
       "4907      2005.0                    0.0        6.3           NaN   \n",
       "4908      1992.0                   20.0        6.9          1.37   \n",
       "4909      2005.0                   44.0        7.8           NaN   \n",
       "4910      2011.0                  205.0        6.4           NaN   \n",
       "4911      2013.0                  470.0        7.7           NaN   \n",
       "4912         NaN                  593.0        7.5         16.00   \n",
       "4913      2013.0                    0.0        6.3           NaN   \n",
       "4914      2012.0                  719.0        6.3          2.35   \n",
       "4915      2004.0                   23.0        6.6          1.85   \n",
       "\n",
       "     movie_facebook_likes  \n",
       "0                   33000  \n",
       "1                       0  \n",
       "2                   85000  \n",
       "3                  164000  \n",
       "4                       0  \n",
       "5                   24000  \n",
       "6                       0  \n",
       "7                   29000  \n",
       "8                  118000  \n",
       "9                   10000  \n",
       "10                 197000  \n",
       "11                      0  \n",
       "12                      0  \n",
       "13                   5000  \n",
       "14                  48000  \n",
       "15                 118000  \n",
       "16                      0  \n",
       "17                 123000  \n",
       "18                  58000  \n",
       "19                  40000  \n",
       "20                  65000  \n",
       "21                  56000  \n",
       "22                  17000  \n",
       "23                  83000  \n",
       "24                      0  \n",
       "25                      0  \n",
       "26                  26000  \n",
       "27                  72000  \n",
       "28                  44000  \n",
       "29                 150000  \n",
       "...                   ...  \n",
       "4886                   61  \n",
       "4887                    0  \n",
       "4888                 2000  \n",
       "4889                   33  \n",
       "4890                  200  \n",
       "4891                  725  \n",
       "4892                    0  \n",
       "4893                   33  \n",
       "4894                  297  \n",
       "4895                   45  \n",
       "4896                  324  \n",
       "4897                  835  \n",
       "4898                    0  \n",
       "4899                  171  \n",
       "4900                  697  \n",
       "4901                  105  \n",
       "4902                  817  \n",
       "4903                   22  \n",
       "4904                  424  \n",
       "4905                   20  \n",
       "4906                19000  \n",
       "4907                   74  \n",
       "4908                    0  \n",
       "4909                    4  \n",
       "4910                  413  \n",
       "4911                   84  \n",
       "4912                32000  \n",
       "4913                   16  \n",
       "4914                  660  \n",
       "4915                  456  \n",
       "\n",
       "[4916 rows x 28 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On peut remarquer que les colonnes sont identifiables par leur nom sur la première ligne et que les lignes sont identifiables par un numéro unique à gauche. La colonne qui contient les numeros des lignes est appélé index du DataFrame.\n",
    "\n",
    "Nous pouvons jeter un coup d'oeil aux 5 premières lignes de notre Dataframe avec la fonction `head`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 360
    },
    "id": "Mqh16rxGBWc0",
    "outputId": "be58e50d-e25e-414d-b40b-28f0db44e17f"
   },
   "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>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>...</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>...</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",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Color</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "      <td>302.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>563.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Orlando Bloom</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>309404152.0</td>\n",
       "      <td>Action|Adventure|Fantasy</td>\n",
       "      <td>...</td>\n",
       "      <td>1238.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>300000000.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Color</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>602.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>Rory Kinnear</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>200074175.0</td>\n",
       "      <td>Action|Adventure|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>994.0</td>\n",
       "      <td>English</td>\n",
       "      <td>UK</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>245000000.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>2.35</td>\n",
       "      <td>85000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Color</td>\n",
       "      <td>Christopher Nolan</td>\n",
       "      <td>813.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>Christian Bale</td>\n",
       "      <td>27000.0</td>\n",
       "      <td>448130642.0</td>\n",
       "      <td>Action|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>2701.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>2.35</td>\n",
       "      <td>164000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Doug Walker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rob Walker</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Documentary</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>12.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   color      director_name  num_critic_for_reviews  duration  \\\n",
       "0  Color      James Cameron                   723.0     178.0   \n",
       "1  Color     Gore Verbinski                   302.0     169.0   \n",
       "2  Color         Sam Mendes                   602.0     148.0   \n",
       "3  Color  Christopher Nolan                   813.0     164.0   \n",
       "4    NaN        Doug Walker                     NaN       NaN   \n",
       "\n",
       "   director_facebook_likes  actor_3_facebook_likes      actor_2_name  \\\n",
       "0                      0.0                   855.0  Joel David Moore   \n",
       "1                    563.0                  1000.0     Orlando Bloom   \n",
       "2                      0.0                   161.0      Rory Kinnear   \n",
       "3                  22000.0                 23000.0    Christian Bale   \n",
       "4                    131.0                     NaN        Rob Walker   \n",
       "\n",
       "   actor_1_facebook_likes        gross                           genres  ...  \\\n",
       "0                  1000.0  760505847.0  Action|Adventure|Fantasy|Sci-Fi  ...   \n",
       "1                 40000.0  309404152.0         Action|Adventure|Fantasy  ...   \n",
       "2                 11000.0  200074175.0        Action|Adventure|Thriller  ...   \n",
       "3                 27000.0  448130642.0                  Action|Thriller  ...   \n",
       "4                   131.0          NaN                      Documentary  ...   \n",
       "\n",
       "  num_user_for_reviews language  country  content_rating       budget  \\\n",
       "0               3054.0  English      USA           PG-13  237000000.0   \n",
       "1               1238.0  English      USA           PG-13  300000000.0   \n",
       "2                994.0  English       UK           PG-13  245000000.0   \n",
       "3               2701.0  English      USA           PG-13  250000000.0   \n",
       "4                  NaN      NaN      NaN             NaN          NaN   \n",
       "\n",
       "   title_year actor_2_facebook_likes imdb_score  aspect_ratio  \\\n",
       "0      2009.0                  936.0        7.9          1.78   \n",
       "1      2007.0                 5000.0        7.1          2.35   \n",
       "2      2015.0                  393.0        6.8          2.35   \n",
       "3      2012.0                23000.0        8.5          2.35   \n",
       "4         NaN                   12.0        7.1           NaN   \n",
       "\n",
       "  movie_facebook_likes  \n",
       "0                33000  \n",
       "1                    0  \n",
       "2                85000  \n",
       "3               164000  \n",
       "4                    0  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Affichons la liste des colonnes : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "TBeeDseUCR2Y",
    "outputId": "17dd3b25-e581-4052-b2c5-0fe207b95c22"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['color', 'director_name', 'num_critic_for_reviews', 'duration',\n",
       "       'director_facebook_likes', 'actor_3_facebook_likes', 'actor_2_name',\n",
       "       'actor_1_facebook_likes', 'gross', 'genres', 'actor_1_name',\n",
       "       'movie_title', 'num_voted_users', 'cast_total_facebook_likes',\n",
       "       'actor_3_name', 'facenumber_in_poster', 'plot_keywords',\n",
       "       'movie_imdb_link', 'num_user_for_reviews', 'language', 'country',\n",
       "       'content_rating', 'budget', 'title_year', 'actor_2_facebook_likes',\n",
       "       'imdb_score', 'aspect_ratio', 'movie_facebook_likes'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "E4hKEoLaCx8F",
    "outputId": "2cb63d23-4541-4e48-8840-d315861eace0"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.indexes.base.Index"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(movie.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Affichons l'index : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Yw7OTNL5Crj-",
    "outputId": "bc0d63a8-ba48-4715-aa32-6803f4efbb2b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RangeIndex(start=0, stop=4916, step=1)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous pouvons avoir accès aux valeurs du DataFrame Sous forme de tableau numpy avec l'attribut **values** : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "C7yhSzx1C9y2",
    "outputId": "2b03f763-6b73-4e04-ead5-b6401fdacdca"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['Color', 'James Cameron', 723.0, ..., 7.9, 1.78, 33000],\n",
       "       ['Color', 'Gore Verbinski', 302.0, ..., 7.1, 2.35, 0],\n",
       "       ['Color', 'Sam Mendes', 602.0, ..., 6.8, 2.35, 85000],\n",
       "       ...,\n",
       "       ['Color', 'Benjamin Roberds', 13.0, ..., 6.3, nan, 16],\n",
       "       ['Color', 'Daniel Hsia', 14.0, ..., 6.3, 2.35, 660],\n",
       "       ['Color', 'Jon Gunn', 43.0, ..., 6.6, 1.85, 456]], dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4916, 28)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.values.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.values.ndim"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vous avez dû remarquer dans le Dataframe (qu'on va désormais appeler df), que certaines cellules contiennent **NaN**. Cela veut dire **Not a Number**. C'est la manière de Pandas de signifier que la valeur est manquante."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quelques fonctions et méthodes pour mieux comprendre la data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous avons déjà vu la fonction head qui permet d'afficher les 5 premières lignes du df. L'inverse est possible avec la fonction tail pour afficher les 5 dernières lignes de notre dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 326
    },
    "id": "1hHdYSmYDj0N",
    "outputId": "1ebc143e-1cfc-415e-bc38-f0732bc7eb30"
   },
   "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>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>...</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>4911</th>\n",
       "      <td>Color</td>\n",
       "      <td>Scott Smith</td>\n",
       "      <td>1.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>318.0</td>\n",
       "      <td>Daphne Zuniga</td>\n",
       "      <td>637.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Comedy|Drama</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>English</td>\n",
       "      <td>Canada</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>470.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4912</th>\n",
       "      <td>Color</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>319.0</td>\n",
       "      <td>Valorie Curry</td>\n",
       "      <td>841.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Crime|Drama|Mystery|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>359.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>593.0</td>\n",
       "      <td>7.5</td>\n",
       "      <td>16.00</td>\n",
       "      <td>32000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4913</th>\n",
       "      <td>Color</td>\n",
       "      <td>Benjamin Roberds</td>\n",
       "      <td>13.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Maxwell Moody</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Drama|Horror|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4914</th>\n",
       "      <td>Color</td>\n",
       "      <td>Daniel Hsia</td>\n",
       "      <td>14.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>489.0</td>\n",
       "      <td>Daniel Henney</td>\n",
       "      <td>946.0</td>\n",
       "      <td>10443.0</td>\n",
       "      <td>Comedy|Drama|Romance</td>\n",
       "      <td>...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>719.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2.35</td>\n",
       "      <td>660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4915</th>\n",
       "      <td>Color</td>\n",
       "      <td>Jon Gunn</td>\n",
       "      <td>43.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>Brian Herzlinger</td>\n",
       "      <td>86.0</td>\n",
       "      <td>85222.0</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>...</td>\n",
       "      <td>84.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>1.85</td>\n",
       "      <td>456</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      color     director_name  num_critic_for_reviews  duration  \\\n",
       "4911  Color       Scott Smith                     1.0      87.0   \n",
       "4912  Color               NaN                    43.0      43.0   \n",
       "4913  Color  Benjamin Roberds                    13.0      76.0   \n",
       "4914  Color       Daniel Hsia                    14.0     100.0   \n",
       "4915  Color          Jon Gunn                    43.0      90.0   \n",
       "\n",
       "      director_facebook_likes  actor_3_facebook_likes      actor_2_name  \\\n",
       "4911                      2.0                   318.0     Daphne Zuniga   \n",
       "4912                      NaN                   319.0     Valorie Curry   \n",
       "4913                      0.0                     0.0     Maxwell Moody   \n",
       "4914                      0.0                   489.0     Daniel Henney   \n",
       "4915                     16.0                    16.0  Brian Herzlinger   \n",
       "\n",
       "      actor_1_facebook_likes    gross                        genres  ...  \\\n",
       "4911                   637.0      NaN                  Comedy|Drama  ...   \n",
       "4912                   841.0      NaN  Crime|Drama|Mystery|Thriller  ...   \n",
       "4913                     0.0      NaN         Drama|Horror|Thriller  ...   \n",
       "4914                   946.0  10443.0          Comedy|Drama|Romance  ...   \n",
       "4915                    86.0  85222.0                   Documentary  ...   \n",
       "\n",
       "     num_user_for_reviews language  country  content_rating  budget  \\\n",
       "4911                  6.0  English   Canada             NaN     NaN   \n",
       "4912                359.0  English      USA           TV-14     NaN   \n",
       "4913                  3.0  English      USA             NaN  1400.0   \n",
       "4914                  9.0  English      USA           PG-13     NaN   \n",
       "4915                 84.0  English      USA              PG  1100.0   \n",
       "\n",
       "      title_year actor_2_facebook_likes imdb_score  aspect_ratio  \\\n",
       "4911      2013.0                  470.0        7.7           NaN   \n",
       "4912         NaN                  593.0        7.5         16.00   \n",
       "4913      2013.0                    0.0        6.3           NaN   \n",
       "4914      2012.0                  719.0        6.3          2.35   \n",
       "4915      2004.0                   23.0        6.6          1.85   \n",
       "\n",
       "     movie_facebook_likes  \n",
       "4911                   84  \n",
       "4912                32000  \n",
       "4913                   16  \n",
       "4914                  660  \n",
       "4915                  456  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous pouvons aussi quelques lignes prises aléatoirement : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 343
    },
    "id": "RFprJQF3D9VA",
    "outputId": "2fb8e616-a854-4405-e2c7-fb6a4365f502"
   },
   "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>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>...</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>1477</th>\n",
       "      <td>Color</td>\n",
       "      <td>Hark Tsui</td>\n",
       "      <td>67.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>Lela Rochon</td>\n",
       "      <td>635.0</td>\n",
       "      <td>10076136.0</td>\n",
       "      <td>Action|Comedy|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>141.0</td>\n",
       "      <td>English</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>R</td>\n",
       "      <td>35000000.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>316.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>2.35</td>\n",
       "      <td>471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3079</th>\n",
       "      <td>Color</td>\n",
       "      <td>Olatunde Osunsanmi</td>\n",
       "      <td>183.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>Will Patton</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>25464480.0</td>\n",
       "      <td>Mystery|Sci-Fi|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>330.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>537.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.35</td>\n",
       "      <td>15000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3714</th>\n",
       "      <td>Color</td>\n",
       "      <td>Billy Kent</td>\n",
       "      <td>50.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>Tim Russ</td>\n",
       "      <td>740.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Comedy|Drama|Romance</td>\n",
       "      <td>...</td>\n",
       "      <td>56.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>R</td>\n",
       "      <td>5000000.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>625.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.35</td>\n",
       "      <td>255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4624</th>\n",
       "      <td>Color</td>\n",
       "      <td>Joseph Dorman</td>\n",
       "      <td>29.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>Peter Riegert</td>\n",
       "      <td>399.0</td>\n",
       "      <td>906666.0</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>Unrated</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>16.00</td>\n",
       "      <td>287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>Color</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>206.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>971.0</td>\n",
       "      <td>Hugh Jackman</td>\n",
       "      <td>49000.0</td>\n",
       "      <td>197992827.0</td>\n",
       "      <td>Animation|Comedy|Family|Music|Romance</td>\n",
       "      <td>...</td>\n",
       "      <td>548.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG</td>\n",
       "      <td>100000000.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      color       director_name  num_critic_for_reviews  duration  \\\n",
       "1477  Color           Hark Tsui                    67.0      91.0   \n",
       "3079  Color  Olatunde Osunsanmi                   183.0      98.0   \n",
       "3714  Color          Billy Kent                    50.0      88.0   \n",
       "4624  Color       Joseph Dorman                    29.0      93.0   \n",
       "391   Color       George Miller                   206.0     108.0   \n",
       "\n",
       "      director_facebook_likes  actor_3_facebook_likes   actor_2_name  \\\n",
       "1477                     85.0                   105.0    Lela Rochon   \n",
       "3079                     58.0                   242.0    Will Patton   \n",
       "3714                      0.0                   276.0       Tim Russ   \n",
       "4624                      0.0                    59.0  Peter Riegert   \n",
       "391                     750.0                   971.0   Hugh Jackman   \n",
       "\n",
       "      actor_1_facebook_likes        gross  \\\n",
       "1477                   635.0   10076136.0   \n",
       "3079                 14000.0   25464480.0   \n",
       "3714                   740.0          NaN   \n",
       "4624                   399.0     906666.0   \n",
       "391                  49000.0  197992827.0   \n",
       "\n",
       "                                     genres  ... num_user_for_reviews  \\\n",
       "1477                 Action|Comedy|Thriller  ...                141.0   \n",
       "3079                Mystery|Sci-Fi|Thriller  ...                330.0   \n",
       "3714                   Comedy|Drama|Romance  ...                 56.0   \n",
       "4624                            Documentary  ...                  5.0   \n",
       "391   Animation|Comedy|Family|Music|Romance  ...                548.0   \n",
       "\n",
       "     language  country  content_rating       budget  title_year  \\\n",
       "1477  English    Aruba               R   35000000.0      1998.0   \n",
       "3079  English      USA           PG-13   10000000.0      2009.0   \n",
       "3714  English      USA               R    5000000.0      2006.0   \n",
       "4624  English      USA         Unrated     500000.0      2011.0   \n",
       "391   English      USA              PG  100000000.0      2006.0   \n",
       "\n",
       "     actor_2_facebook_likes imdb_score  aspect_ratio movie_facebook_likes  \n",
       "1477                  316.0        4.8          2.35                  471  \n",
       "3079                  537.0        5.9          2.35                15000  \n",
       "3714                  625.0        5.6          2.35                  255  \n",
       "4624                  169.0        6.8         16.00                  287  \n",
       "391                 20000.0        6.5          2.35                    0  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.sample(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous pouvons avoir accès au nombre de lignes et de colonnes du df  :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4916, 28)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous avons 4916 et 28 colonnes. Jetons un coup d'oeil au type de données dans chaque variable : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "eEnmDaQXEEno",
    "outputId": "cfafa4a1-2ca9-45f4-b9d5-eac8d294d85c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "color                         object\n",
       "director_name                 object\n",
       "num_critic_for_reviews       float64\n",
       "duration                     float64\n",
       "director_facebook_likes      float64\n",
       "actor_3_facebook_likes       float64\n",
       "actor_2_name                  object\n",
       "actor_1_facebook_likes       float64\n",
       "gross                        float64\n",
       "genres                        object\n",
       "actor_1_name                  object\n",
       "movie_title                   object\n",
       "num_voted_users                int64\n",
       "cast_total_facebook_likes      int64\n",
       "actor_3_name                  object\n",
       "facenumber_in_poster         float64\n",
       "plot_keywords                 object\n",
       "movie_imdb_link               object\n",
       "num_user_for_reviews         float64\n",
       "language                      object\n",
       "country                       object\n",
       "content_rating                object\n",
       "budget                       float64\n",
       "title_year                   float64\n",
       "actor_2_facebook_likes       float64\n",
       "imdb_score                   float64\n",
       "aspect_ratio                 float64\n",
       "movie_facebook_likes           int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Le type object est le type utilisé par Python quand une colonne contient des chaines de caractères ou des données de plusieurs types ou simplement lorsque des valeurs sont manquantes.\n",
    "\n",
    "Nous pouvons afficher le nombre de valeurs non manquantes dans chaque colonne avec leur type : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "cDcyxg5xEOyO",
    "outputId": "7890777f-ba50-42f0-9d3b-46fbcdb45b61"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4916 entries, 0 to 4915\n",
      "Data columns (total 28 columns):\n",
      "color                        4897 non-null object\n",
      "director_name                4814 non-null object\n",
      "num_critic_for_reviews       4867 non-null float64\n",
      "duration                     4901 non-null float64\n",
      "director_facebook_likes      4814 non-null float64\n",
      "actor_3_facebook_likes       4893 non-null float64\n",
      "actor_2_name                 4903 non-null object\n",
      "actor_1_facebook_likes       4909 non-null float64\n",
      "gross                        4054 non-null float64\n",
      "genres                       4916 non-null object\n",
      "actor_1_name                 4909 non-null object\n",
      "movie_title                  4916 non-null object\n",
      "num_voted_users              4916 non-null int64\n",
      "cast_total_facebook_likes    4916 non-null int64\n",
      "actor_3_name                 4893 non-null object\n",
      "facenumber_in_poster         4903 non-null float64\n",
      "plot_keywords                4764 non-null object\n",
      "movie_imdb_link              4916 non-null object\n",
      "num_user_for_reviews         4895 non-null float64\n",
      "language                     4904 non-null object\n",
      "country                      4911 non-null object\n",
      "content_rating               4616 non-null object\n",
      "budget                       4432 non-null float64\n",
      "title_year                   4810 non-null float64\n",
      "actor_2_facebook_likes       4903 non-null float64\n",
      "imdb_score                   4916 non-null float64\n",
      "aspect_ratio                 4590 non-null float64\n",
      "movie_facebook_likes         4916 non-null int64\n",
      "dtypes: float64(13), int64(3), object(12)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "movie.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                 Color\n",
       "1                 Color\n",
       "2                 Color\n",
       "3                 Color\n",
       "4                   NaN\n",
       "5                 Color\n",
       "6                 Color\n",
       "7                 Color\n",
       "8                 Color\n",
       "9                 Color\n",
       "10                Color\n",
       "11                Color\n",
       "12                Color\n",
       "13                Color\n",
       "14                Color\n",
       "15                Color\n",
       "16                Color\n",
       "17                Color\n",
       "18                Color\n",
       "19                Color\n",
       "20                Color\n",
       "21                Color\n",
       "22                Color\n",
       "23                Color\n",
       "24                Color\n",
       "25                Color\n",
       "26                Color\n",
       "27                Color\n",
       "28                Color\n",
       "29                Color\n",
       "             ...       \n",
       "4886              Color\n",
       "4887              Color\n",
       "4888    Black and White\n",
       "4889              Color\n",
       "4890              Color\n",
       "4891              Color\n",
       "4892              Color\n",
       "4893                NaN\n",
       "4894              Color\n",
       "4895    Black and White\n",
       "4896              Color\n",
       "4897              Color\n",
       "4898              Color\n",
       "4899              Color\n",
       "4900              Color\n",
       "4901    Black and White\n",
       "4902              Color\n",
       "4903              Color\n",
       "4904              Color\n",
       "4905              Color\n",
       "4906              Color\n",
       "4907              Color\n",
       "4908              Color\n",
       "4909              Color\n",
       "4910              Color\n",
       "4911              Color\n",
       "4912              Color\n",
       "4913              Color\n",
       "4914              Color\n",
       "4915              Color\n",
       "Name: color, Length: 4916, dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Color              4693\n",
       "Black and White     204\n",
       "Name: color, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.color.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "movie.rename(columns = {'director_facebook_likes':'director_fb_likes'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4916 entries, 0 to 4915\n",
      "Data columns (total 28 columns):\n",
      "color                        4897 non-null object\n",
      "director_name                4814 non-null object\n",
      "num_critic_for_reviews       4867 non-null float64\n",
      "duration                     4901 non-null float64\n",
      "director_fb_likes            4814 non-null float64\n",
      "actor_3_facebook_likes       4893 non-null float64\n",
      "actor_2_name                 4903 non-null object\n",
      "actor_1_facebook_likes       4909 non-null float64\n",
      "gross                        4054 non-null float64\n",
      "genres                       4916 non-null object\n",
      "actor_1_name                 4909 non-null object\n",
      "movie_title                  4916 non-null object\n",
      "num_voted_users              4916 non-null int64\n",
      "cast_total_facebook_likes    4916 non-null int64\n",
      "actor_3_name                 4893 non-null object\n",
      "facenumber_in_poster         4903 non-null float64\n",
      "plot_keywords                4764 non-null object\n",
      "movie_imdb_link              4916 non-null object\n",
      "num_user_for_reviews         4895 non-null float64\n",
      "language                     4904 non-null object\n",
      "country                      4911 non-null object\n",
      "content_rating               4616 non-null object\n",
      "budget                       4432 non-null float64\n",
      "title_year                   4810 non-null float64\n",
      "actor_2_facebook_likes       4903 non-null float64\n",
      "imdb_score                   4916 non-null float64\n",
      "aspect_ratio                 4590 non-null float64\n",
      "movie_facebook_likes         4916 non-null int64\n",
      "dtypes: float64(13), int64(3), object(12)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "movie.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "movie_string = movie.select_dtypes('object')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>color</th>\n",
       "      <th>director_name</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>genres</th>\n",
       "      <th>actor_1_name</th>\n",
       "      <th>movie_title</th>\n",
       "      <th>actor_3_name</th>\n",
       "      <th>plot_keywords</th>\n",
       "      <th>movie_imdb_link</th>\n",
       "      <th>language</th>\n",
       "      <th>country</th>\n",
       "      <th>content_rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Color</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>Joel David Moore</td>\n",
       "      <td>Action|Adventure|Fantasy|Sci-Fi</td>\n",
       "      <td>CCH Pounder</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>Wes Studi</td>\n",
       "      <td>avatar|future|marine|native|paraplegic</td>\n",
       "      <td>http://www.imdb.com/title/tt0499549/?ref_=fn_t...</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Color</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "      <td>Orlando Bloom</td>\n",
       "      <td>Action|Adventure|Fantasy</td>\n",
       "      <td>Johnny Depp</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Jack Davenport</td>\n",
       "      <td>goddess|marriage ceremony|marriage proposal|pi...</td>\n",
       "      <td>http://www.imdb.com/title/tt0449088/?ref_=fn_t...</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Color</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>Rory Kinnear</td>\n",
       "      <td>Action|Adventure|Thriller</td>\n",
       "      <td>Christoph Waltz</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>Stephanie Sigman</td>\n",
       "      <td>bomb|espionage|sequel|spy|terrorist</td>\n",
       "      <td>http://www.imdb.com/title/tt2379713/?ref_=fn_t...</td>\n",
       "      <td>English</td>\n",
       "      <td>UK</td>\n",
       "      <td>PG-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Color</td>\n",
       "      <td>Christopher Nolan</td>\n",
       "      <td>Christian Bale</td>\n",
       "      <td>Action|Thriller</td>\n",
       "      <td>Tom Hardy</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>Joseph Gordon-Levitt</td>\n",
       "      <td>deception|imprisonment|lawlessness|police offi...</td>\n",
       "      <td>http://www.imdb.com/title/tt1345836/?ref_=fn_t...</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Doug Walker</td>\n",
       "      <td>Rob Walker</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>Doug Walker</td>\n",
       "      <td>Star Wars: Episode VII - The Force Awakens</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.imdb.com/title/tt5289954/?ref_=fn_t...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   color      director_name      actor_2_name  \\\n",
       "0  Color      James Cameron  Joel David Moore   \n",
       "1  Color     Gore Verbinski     Orlando Bloom   \n",
       "2  Color         Sam Mendes      Rory Kinnear   \n",
       "3  Color  Christopher Nolan    Christian Bale   \n",
       "4    NaN        Doug Walker        Rob Walker   \n",
       "\n",
       "                            genres     actor_1_name  \\\n",
       "0  Action|Adventure|Fantasy|Sci-Fi      CCH Pounder   \n",
       "1         Action|Adventure|Fantasy      Johnny Depp   \n",
       "2        Action|Adventure|Thriller  Christoph Waltz   \n",
       "3                  Action|Thriller        Tom Hardy   \n",
       "4                      Documentary      Doug Walker   \n",
       "\n",
       "                                  movie_title          actor_3_name  \\\n",
       "0                                      Avatar             Wes Studi   \n",
       "1    Pirates of the Caribbean: At World's End        Jack Davenport   \n",
       "2                                     Spectre      Stephanie Sigman   \n",
       "3                       The Dark Knight Rises  Joseph Gordon-Levitt   \n",
       "4  Star Wars: Episode VII - The Force Awakens                   NaN   \n",
       "\n",
       "                                       plot_keywords  \\\n",
       "0             avatar|future|marine|native|paraplegic   \n",
       "1  goddess|marriage ceremony|marriage proposal|pi...   \n",
       "2                bomb|espionage|sequel|spy|terrorist   \n",
       "3  deception|imprisonment|lawlessness|police offi...   \n",
       "4                                                NaN   \n",
       "\n",
       "                                     movie_imdb_link language country  \\\n",
       "0  http://www.imdb.com/title/tt0499549/?ref_=fn_t...  English     USA   \n",
       "1  http://www.imdb.com/title/tt0449088/?ref_=fn_t...  English     USA   \n",
       "2  http://www.imdb.com/title/tt2379713/?ref_=fn_t...  English      UK   \n",
       "3  http://www.imdb.com/title/tt1345836/?ref_=fn_t...  English     USA   \n",
       "4  http://www.imdb.com/title/tt5289954/?ref_=fn_t...      NaN     NaN   \n",
       "\n",
       "  content_rating  \n",
       "0          PG-13  \n",
       "1          PG-13  \n",
       "2          PG-13  \n",
       "3          PG-13  \n",
       "4            NaN  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_string.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "movie_number = movie.select_dtypes(include='number')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>num_critic_for_reviews</th>\n",
       "      <th>duration</th>\n",
       "      <th>director_fb_likes</th>\n",
       "      <th>actor_3_facebook_likes</th>\n",
       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>gross</th>\n",
       "      <th>num_voted_users</th>\n",
       "      <th>cast_total_facebook_likes</th>\n",
       "      <th>facenumber_in_poster</th>\n",
       "      <th>num_user_for_reviews</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>723.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>855.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>760505847.0</td>\n",
       "      <td>886204</td>\n",
       "      <td>4834</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3054.0</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",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>302.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>563.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>309404152.0</td>\n",
       "      <td>471220</td>\n",
       "      <td>48350</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1238.0</td>\n",
       "      <td>300000000.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>602.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>200074175.0</td>\n",
       "      <td>275868</td>\n",
       "      <td>11700</td>\n",
       "      <td>1.0</td>\n",
       "      <td>994.0</td>\n",
       "      <td>245000000.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>2.35</td>\n",
       "      <td>85000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>813.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>27000.0</td>\n",
       "      <td>448130642.0</td>\n",
       "      <td>1144337</td>\n",
       "      <td>106759</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2701.0</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>2.35</td>\n",
       "      <td>164000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>143</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   num_critic_for_reviews  duration  director_fb_likes  \\\n",
       "0                   723.0     178.0                0.0   \n",
       "1                   302.0     169.0              563.0   \n",
       "2                   602.0     148.0                0.0   \n",
       "3                   813.0     164.0            22000.0   \n",
       "4                     NaN       NaN              131.0   \n",
       "\n",
       "   actor_3_facebook_likes  actor_1_facebook_likes        gross  \\\n",
       "0                   855.0                  1000.0  760505847.0   \n",
       "1                  1000.0                 40000.0  309404152.0   \n",
       "2                   161.0                 11000.0  200074175.0   \n",
       "3                 23000.0                 27000.0  448130642.0   \n",
       "4                     NaN                   131.0          NaN   \n",
       "\n",
       "   num_voted_users  cast_total_facebook_likes  facenumber_in_poster  \\\n",
       "0           886204                       4834                   0.0   \n",
       "1           471220                      48350                   0.0   \n",
       "2           275868                      11700                   1.0   \n",
       "3          1144337                     106759                   0.0   \n",
       "4                8                        143                   0.0   \n",
       "\n",
       "   num_user_for_reviews       budget  title_year  actor_2_facebook_likes  \\\n",
       "0                3054.0  237000000.0      2009.0                   936.0   \n",
       "1                1238.0  300000000.0      2007.0                  5000.0   \n",
       "2                 994.0  245000000.0      2015.0                   393.0   \n",
       "3                2701.0  250000000.0      2012.0                 23000.0   \n",
       "4                   NaN          NaN         NaN                    12.0   \n",
       "\n",
       "   imdb_score  aspect_ratio  movie_facebook_likes  \n",
       "0         7.9          1.78                 33000  \n",
       "1         7.1          2.35                     0  \n",
       "2         6.8          2.35                 85000  \n",
       "3         8.5          2.35                164000  \n",
       "4         7.1           NaN                     0  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_number.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>num_critic_for_reviews</th>\n",
       "      <th>duration</th>\n",
       "      <th>director_fb_likes</th>\n",
       "      <th>actor_3_facebook_likes</th>\n",
       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>gross</th>\n",
       "      <th>num_voted_users</th>\n",
       "      <th>cast_total_facebook_likes</th>\n",
       "      <th>facenumber_in_poster</th>\n",
       "      <th>num_user_for_reviews</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>count</th>\n",
       "      <td>4867.000000</td>\n",
       "      <td>4901.000000</td>\n",
       "      <td>4814.000000</td>\n",
       "      <td>4893.000000</td>\n",
       "      <td>4909.000000</td>\n",
       "      <td>4.054000e+03</td>\n",
       "      <td>4.916000e+03</td>\n",
       "      <td>4916.000000</td>\n",
       "      <td>4903.000000</td>\n",
       "      <td>4895.000000</td>\n",
       "      <td>4.432000e+03</td>\n",
       "      <td>4810.000000</td>\n",
       "      <td>4903.000000</td>\n",
       "      <td>4916.000000</td>\n",
       "      <td>4590.000000</td>\n",
       "      <td>4916.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>137.988905</td>\n",
       "      <td>107.090798</td>\n",
       "      <td>691.014541</td>\n",
       "      <td>631.276313</td>\n",
       "      <td>6494.488491</td>\n",
       "      <td>4.764451e+07</td>\n",
       "      <td>8.264492e+04</td>\n",
       "      <td>9579.815907</td>\n",
       "      <td>1.377320</td>\n",
       "      <td>267.668846</td>\n",
       "      <td>3.654749e+07</td>\n",
       "      <td>2002.447609</td>\n",
       "      <td>1621.923516</td>\n",
       "      <td>6.437429</td>\n",
       "      <td>2.222349</td>\n",
       "      <td>7348.294142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>120.239379</td>\n",
       "      <td>25.286015</td>\n",
       "      <td>2832.954125</td>\n",
       "      <td>1625.874802</td>\n",
       "      <td>15106.986884</td>\n",
       "      <td>6.737255e+07</td>\n",
       "      <td>1.383222e+05</td>\n",
       "      <td>18164.316990</td>\n",
       "      <td>2.023826</td>\n",
       "      <td>372.934839</td>\n",
       "      <td>1.002427e+08</td>\n",
       "      <td>12.453977</td>\n",
       "      <td>4011.299523</td>\n",
       "      <td>1.127802</td>\n",
       "      <td>1.402940</td>\n",
       "      <td>19206.016458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.620000e+02</td>\n",
       "      <td>5.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.180000e+02</td>\n",
       "      <td>1916.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>1.180000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>49.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>132.000000</td>\n",
       "      <td>607.000000</td>\n",
       "      <td>5.019656e+06</td>\n",
       "      <td>8.361750e+03</td>\n",
       "      <td>1394.750000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>6.000000e+06</td>\n",
       "      <td>1999.000000</td>\n",
       "      <td>277.000000</td>\n",
       "      <td>5.800000</td>\n",
       "      <td>1.850000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>108.000000</td>\n",
       "      <td>103.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>366.000000</td>\n",
       "      <td>982.000000</td>\n",
       "      <td>2.504396e+07</td>\n",
       "      <td>3.313250e+04</td>\n",
       "      <td>3049.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>153.000000</td>\n",
       "      <td>1.985000e+07</td>\n",
       "      <td>2005.000000</td>\n",
       "      <td>593.000000</td>\n",
       "      <td>6.600000</td>\n",
       "      <td>2.350000</td>\n",
       "      <td>159.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>191.000000</td>\n",
       "      <td>118.000000</td>\n",
       "      <td>189.750000</td>\n",
       "      <td>633.000000</td>\n",
       "      <td>11000.000000</td>\n",
       "      <td>6.110841e+07</td>\n",
       "      <td>9.377275e+04</td>\n",
       "      <td>13616.750000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>320.500000</td>\n",
       "      <td>4.300000e+07</td>\n",
       "      <td>2011.000000</td>\n",
       "      <td>912.000000</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>2.350000</td>\n",
       "      <td>2000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>813.000000</td>\n",
       "      <td>511.000000</td>\n",
       "      <td>23000.000000</td>\n",
       "      <td>23000.000000</td>\n",
       "      <td>640000.000000</td>\n",
       "      <td>7.605058e+08</td>\n",
       "      <td>1.689764e+06</td>\n",
       "      <td>656730.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>5060.000000</td>\n",
       "      <td>4.200000e+09</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>137000.000000</td>\n",
       "      <td>9.500000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>349000.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       num_critic_for_reviews     duration  director_fb_likes  \\\n",
       "count             4867.000000  4901.000000        4814.000000   \n",
       "mean               137.988905   107.090798         691.014541   \n",
       "std                120.239379    25.286015        2832.954125   \n",
       "min                  1.000000     7.000000           0.000000   \n",
       "25%                 49.000000    93.000000           7.000000   \n",
       "50%                108.000000   103.000000          48.000000   \n",
       "75%                191.000000   118.000000         189.750000   \n",
       "max                813.000000   511.000000       23000.000000   \n",
       "\n",
       "       actor_3_facebook_likes  actor_1_facebook_likes         gross  \\\n",
       "count             4893.000000             4909.000000  4.054000e+03   \n",
       "mean               631.276313             6494.488491  4.764451e+07   \n",
       "std               1625.874802            15106.986884  6.737255e+07   \n",
       "min                  0.000000                0.000000  1.620000e+02   \n",
       "25%                132.000000              607.000000  5.019656e+06   \n",
       "50%                366.000000              982.000000  2.504396e+07   \n",
       "75%                633.000000            11000.000000  6.110841e+07   \n",
       "max              23000.000000           640000.000000  7.605058e+08   \n",
       "\n",
       "       num_voted_users  cast_total_facebook_likes  facenumber_in_poster  \\\n",
       "count     4.916000e+03                4916.000000           4903.000000   \n",
       "mean      8.264492e+04                9579.815907              1.377320   \n",
       "std       1.383222e+05               18164.316990              2.023826   \n",
       "min       5.000000e+00                   0.000000              0.000000   \n",
       "25%       8.361750e+03                1394.750000              0.000000   \n",
       "50%       3.313250e+04                3049.000000              1.000000   \n",
       "75%       9.377275e+04               13616.750000              2.000000   \n",
       "max       1.689764e+06              656730.000000             43.000000   \n",
       "\n",
       "       num_user_for_reviews        budget   title_year  \\\n",
       "count           4895.000000  4.432000e+03  4810.000000   \n",
       "mean             267.668846  3.654749e+07  2002.447609   \n",
       "std              372.934839  1.002427e+08    12.453977   \n",
       "min                1.000000  2.180000e+02  1916.000000   \n",
       "25%               64.000000  6.000000e+06  1999.000000   \n",
       "50%              153.000000  1.985000e+07  2005.000000   \n",
       "75%              320.500000  4.300000e+07  2011.000000   \n",
       "max             5060.000000  4.200000e+09  2016.000000   \n",
       "\n",
       "       actor_2_facebook_likes   imdb_score  aspect_ratio  movie_facebook_likes  \n",
       "count             4903.000000  4916.000000   4590.000000           4916.000000  \n",
       "mean              1621.923516     6.437429      2.222349           7348.294142  \n",
       "std               4011.299523     1.127802      1.402940          19206.016458  \n",
       "min                  0.000000     1.600000      1.180000              0.000000  \n",
       "25%                277.000000     5.800000      1.850000              0.000000  \n",
       "50%                593.000000     6.600000      2.350000            159.000000  \n",
       "75%                912.000000     7.200000      2.350000           2000.000000  \n",
       "max             137000.000000     9.500000     16.000000         349000.000000  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_number.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "cols_interest = [\"director_name\", \"duration\", \"gross\", \"genres\",\n",
    "                 'movie_title', \"plot_keywords\",\"budget\", \"title_year\", \"language\", \"imdb_score\"]\n",
    "movie_reduced = movie[cols_interest]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\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>director_name</th>\n",
       "      <th>duration</th>\n",
       "      <th>gross</th>\n",
       "      <th>genres</th>\n",
       "      <th>movie_title</th>\n",
       "      <th>plot_keywords</th>\n",
       "      <th>budget</th>\n",
       "      <th>title_year</th>\n",
       "      <th>language</th>\n",
       "      <th>imdb_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>755</th>\n",
       "      <td>Jean-Pierre Jeunet</td>\n",
       "      <td>116.0</td>\n",
       "      <td>47748610.0</td>\n",
       "      <td>Action|Horror|Sci-Fi</td>\n",
       "      <td>Alien: Resurrection</td>\n",
       "      <td>alien|blood|breeding|clone|scientist</td>\n",
       "      <td>75000000.0</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>English</td>\n",
       "      <td>6.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1550</th>\n",
       "      <td>Norman Jewison</td>\n",
       "      <td>110.0</td>\n",
       "      <td>4357000.0</td>\n",
       "      <td>Comedy|Family|Fantasy</td>\n",
       "      <td>Bogus</td>\n",
       "      <td>box office flop|circus|imaginary friend|magici...</td>\n",
       "      <td>30000000.0</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>English</td>\n",
       "      <td>5.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           director_name  duration       gross                 genres  \\\n",
       "755   Jean-Pierre Jeunet     116.0  47748610.0   Action|Horror|Sci-Fi   \n",
       "1550      Norman Jewison     110.0   4357000.0  Comedy|Family|Fantasy   \n",
       "\n",
       "              movie_title                                      plot_keywords  \\\n",
       "755   Alien: Resurrection               alien|blood|breeding|clone|scientist   \n",
       "1550                Bogus  box office flop|circus|imaginary friend|magici...   \n",
       "\n",
       "          budget  title_year language  imdb_score  \n",
       "755   75000000.0      1997.0  English         6.3  \n",
       "1550  30000000.0      1996.0  English         5.3  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_reduced.sample(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/kevin/miniconda3/envs/ds/lib/python3.7/site-packages/pandas/core/frame.py:3940: 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: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  errors=errors)\n"
     ]
    }
   ],
   "source": [
    "movie_reduced.drop(0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "movie_reduced = movie_reduced.drop(['movie_title', 'plot_keywords'], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "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",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>director_name</th>\n",
       "      <th>duration</th>\n",
       "      <th>gross</th>\n",
       "      <th>genres</th>\n",
       "      <th>budget</th>\n",
       "      <th>title_year</th>\n",
       "      <th>language</th>\n",
       "      <th>imdb_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Gore Verbinski</td>\n",
       "      <td>169.0</td>\n",
       "      <td>309404152.0</td>\n",
       "      <td>Action|Adventure|Fantasy</td>\n",
       "      <td>300000000.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>English</td>\n",
       "      <td>7.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>148.0</td>\n",
       "      <td>200074175.0</td>\n",
       "      <td>Action|Adventure|Thriller</td>\n",
       "      <td>245000000.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>English</td>\n",
       "      <td>6.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Christopher Nolan</td>\n",
       "      <td>164.0</td>\n",
       "      <td>448130642.0</td>\n",
       "      <td>Action|Thriller</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>English</td>\n",
       "      <td>8.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Doug Walker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Andrew Stanton</td>\n",
       "      <td>132.0</td>\n",
       "      <td>73058679.0</td>\n",
       "      <td>Action|Adventure|Sci-Fi</td>\n",
       "      <td>263700000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>English</td>\n",
       "      <td>6.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       director_name  duration        gross                     genres  \\\n",
       "1     Gore Verbinski     169.0  309404152.0   Action|Adventure|Fantasy   \n",
       "2         Sam Mendes     148.0  200074175.0  Action|Adventure|Thriller   \n",
       "3  Christopher Nolan     164.0  448130642.0            Action|Thriller   \n",
       "4        Doug Walker       NaN          NaN                Documentary   \n",
       "5     Andrew Stanton     132.0   73058679.0    Action|Adventure|Sci-Fi   \n",
       "\n",
       "        budget  title_year language  imdb_score  \n",
       "1  300000000.0      2007.0  English         7.1  \n",
       "2  245000000.0      2015.0  English         6.8  \n",
       "3  250000000.0      2012.0  English         8.5  \n",
       "4          NaN         NaN      NaN         7.1  \n",
       "5  263700000.0      2012.0  English         6.6  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_reduced.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "English       4581\n",
       "French          73\n",
       "Spanish         40\n",
       "Hindi           28\n",
       "Mandarin        24\n",
       "German          19\n",
       "Japanese        17\n",
       "Cantonese       11\n",
       "Italian         11\n",
       "Russian         11\n",
       "Portuguese       8\n",
       "Korean           7\n",
       "Hebrew           5\n",
       "Danish           5\n",
       "Swedish          5\n",
       "Arabic           5\n",
       "Dutch            4\n",
       "Persian          4\n",
       "Norwegian        4\n",
       "Polish           3\n",
       "Thai             3\n",
       "Chinese          3\n",
       "None             2\n",
       "Romanian         2\n",
       "Indonesian       2\n",
       "Zulu             2\n",
       "Dari             2\n",
       "Icelandic        2\n",
       "Aboriginal       2\n",
       "Panjabi          1\n",
       "Mongolian        1\n",
       "Bosnian          1\n",
       "Swahili          1\n",
       "Hungarian        1\n",
       "Telugu           1\n",
       "Czech            1\n",
       "Vietnamese       1\n",
       "Filipino         1\n",
       "Kazakh           1\n",
       "Aramaic          1\n",
       "Tamil            1\n",
       "Kannada          1\n",
       "Urdu             1\n",
       "Slovenian        1\n",
       "Maya             1\n",
       "Greek            1\n",
       "Dzongkha         1\n",
       "Name: language, dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_reduced['language'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dzongkha         1\n",
       "Greek            1\n",
       "Maya             1\n",
       "Slovenian        1\n",
       "Urdu             1\n",
       "Kannada          1\n",
       "Tamil            1\n",
       "Aramaic          1\n",
       "Kazakh           1\n",
       "Filipino         1\n",
       "Vietnamese       1\n",
       "Czech            1\n",
       "Telugu           1\n",
       "Hungarian        1\n",
       "Swahili          1\n",
       "Bosnian          1\n",
       "Mongolian        1\n",
       "Panjabi          1\n",
       "Aboriginal       2\n",
       "Icelandic        2\n",
       "Dari             2\n",
       "Zulu             2\n",
       "Indonesian       2\n",
       "Romanian         2\n",
       "None             2\n",
       "Chinese          3\n",
       "Thai             3\n",
       "Polish           3\n",
       "Norwegian        4\n",
       "Persian          4\n",
       "Dutch            4\n",
       "Arabic           5\n",
       "Swedish          5\n",
       "Danish           5\n",
       "Hebrew           5\n",
       "Korean           7\n",
       "Portuguese       8\n",
       "Russian         11\n",
       "Italian         11\n",
       "Cantonese       11\n",
       "Japanese        17\n",
       "German          19\n",
       "Mandarin        24\n",
       "Hindi           28\n",
       "Spanish         40\n",
       "French          73\n",
       "English       4581\n",
       "Name: language, dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_reduced['language'].value_counts(ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "English       93.204476\n",
       "French         1.485249\n",
       "Spanish        0.813835\n",
       "Hindi          0.569685\n",
       "Mandarin       0.488301\n",
       "German         0.386572\n",
       "Japanese       0.345880\n",
       "Cantonese      0.223805\n",
       "Italian        0.223805\n",
       "Russian        0.223805\n",
       "Portuguese     0.162767\n",
       "Korean         0.142421\n",
       "Hebrew         0.101729\n",
       "Danish         0.101729\n",
       "Swedish        0.101729\n",
       "Arabic         0.101729\n",
       "Dutch          0.081384\n",
       "Persian        0.081384\n",
       "Norwegian      0.081384\n",
       "Polish         0.061038\n",
       "Thai           0.061038\n",
       "Chinese        0.061038\n",
       "None           0.040692\n",
       "Romanian       0.040692\n",
       "Indonesian     0.040692\n",
       "Zulu           0.040692\n",
       "Dari           0.040692\n",
       "Icelandic      0.040692\n",
       "Aboriginal     0.040692\n",
       "Panjabi        0.020346\n",
       "Mongolian      0.020346\n",
       "Bosnian        0.020346\n",
       "Swahili        0.020346\n",
       "Hungarian      0.020346\n",
       "Telugu         0.020346\n",
       "Czech          0.020346\n",
       "Vietnamese     0.020346\n",
       "Filipino       0.020346\n",
       "Kazakh         0.020346\n",
       "Aramaic        0.020346\n",
       "Tamil          0.020346\n",
       "Kannada        0.020346\n",
       "Urdu           0.020346\n",
       "Slovenian      0.020346\n",
       "Maya           0.020346\n",
       "Greek          0.020346\n",
       "Dzongkha       0.020346\n",
       "Name: language, dtype: float64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(movie_reduced['language'].value_counts() / len(movie_reduced)) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "del movie_reduced['genres']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "movie_reduced['title'] = movie['movie_title']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\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>director_name</th>\n",
       "      <th>duration</th>\n",
       "      <th>gross</th>\n",
       "      <th>budget</th>\n",
       "      <th>title_year</th>\n",
       "      <th>language</th>\n",
       "      <th>imdb_score</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3476</th>\n",
       "      <td>Kenny Ortega</td>\n",
       "      <td>111.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7000000.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>English</td>\n",
       "      <td>4.8</td>\n",
       "      <td>High School Musical 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>Josh Trank</td>\n",
       "      <td>100.0</td>\n",
       "      <td>56114221.0</td>\n",
       "      <td>120000000.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>English</td>\n",
       "      <td>4.3</td>\n",
       "      <td>Fantastic Four</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     director_name  duration       gross       budget  title_year language  \\\n",
       "3476  Kenny Ortega     111.0         NaN    7000000.0      2007.0  English   \n",
       "246     Josh Trank     100.0  56114221.0  120000000.0      2015.0  English   \n",
       "\n",
       "      imdb_score                  title  \n",
       "3476         4.8  High School Musical 2  \n",
       "246          4.3         Fantastic Four  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_reduced.sample(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "movie_reduced.rename(columns={'gross': 'revenue'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>director_name</th>\n",
       "      <th>duration</th>\n",
       "      <th>revenue</th>\n",
       "      <th>budget</th>\n",
       "      <th>title_year</th>\n",
       "      <th>language</th>\n",
       "      <th>imdb_score</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1455</th>\n",
       "      <td>John Singleton</td>\n",
       "      <td>106.0</td>\n",
       "      <td>28064226.0</td>\n",
       "      <td>35000000.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>English</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Abduction</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>862</th>\n",
       "      <td>Akiva Schaffer</td>\n",
       "      <td>102.0</td>\n",
       "      <td>34350553.0</td>\n",
       "      <td>68000000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>English</td>\n",
       "      <td>5.7</td>\n",
       "      <td>The Watch</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       director_name  duration     revenue      budget  title_year language  \\\n",
       "1455  John Singleton     106.0  28064226.0  35000000.0      2011.0  English   \n",
       "862   Akiva Schaffer     102.0  34350553.0  68000000.0      2012.0  English   \n",
       "\n",
       "      imdb_score      title  \n",
       "1455         5.0  Abduction  \n",
       "862          5.7  The Watch  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_reduced.sample(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['director_name',\n",
       " 'duration',\n",
       " 'revenue',\n",
       " 'budget',\n",
       " 'title_year',\n",
       " 'language',\n",
       " 'imdb_score',\n",
       " 'title']"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_reduced.columns.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_arrangement = sorted(movie_reduced.columns.tolist())\n",
    "movie_reduced = movie_reduced[new_arrangement]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\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>budget</th>\n",
       "      <th>director_name</th>\n",
       "      <th>duration</th>\n",
       "      <th>imdb_score</th>\n",
       "      <th>language</th>\n",
       "      <th>revenue</th>\n",
       "      <th>title</th>\n",
       "      <th>title_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000.0</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "      <td>169.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>English</td>\n",
       "      <td>309404152.0</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>2007.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>245000000.0</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>148.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>English</td>\n",
       "      <td>200074175.0</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>2015.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        budget   director_name  duration  imdb_score language      revenue  \\\n",
       "1  300000000.0  Gore Verbinski     169.0         7.1  English  309404152.0   \n",
       "2  245000000.0      Sam Mendes     148.0         6.8  English  200074175.0   \n",
       "\n",
       "                                      title  title_year  \n",
       "1  Pirates of the Caribbean: At World's End      2007.0  \n",
       "2                                   Spectre      2015.0  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_reduced.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "658672302.0"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_reduced['revenue'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/kevin/miniconda3/envs/ds/lib/python3.7/site-packages/numpy/core/fromnumeric.py:61: FutureWarning: \n",
      "The current behaviour of 'Series.argmax' is deprecated, use 'idxmax'\n",
      "instead.\n",
      "The behavior of 'argmax' will be corrected to return the positional\n",
      "maximum in the future. For now, use 'series.values.argmax' or\n",
      "'np.argmax(np.array(values))' to get the position of the maximum\n",
      "row.\n",
      "  return bound(*args, **kwds)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "26"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.argmax(movie_reduced.revenue)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                   2e+08\n",
       "director_name    James Cameron\n",
       "duration                   194\n",
       "imdb_score                 7.7\n",
       "language               English\n",
       "revenue            6.58672e+08\n",
       "title                  Titanic\n",
       "title_year                1997\n",
       "Name: 26, dtype: object"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_reduced.loc[26]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>200000000.0</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>194.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>English</td>\n",
       "      <td>658672302.0</td>\n",
       "      <td>Titanic</td>\n",
       "      <td>1997.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>150000000.0</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>124.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>English</td>\n",
       "      <td>652177271.0</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>2015.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>220000000.0</td>\n",
       "      <td>Joss Whedon</td>\n",
       "      <td>173.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>English</td>\n",
       "      <td>623279547.0</td>\n",
       "      <td>The Avengers</td>\n",
       "      <td>2012.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>185000000.0</td>\n",
       "      <td>Christopher Nolan</td>\n",
       "      <td>152.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>English</td>\n",
       "      <td>533316061.0</td>\n",
       "      <td>The Dark Knight</td>\n",
       "      <td>2008.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>115000000.0</td>\n",
       "      <td>George Lucas</td>\n",
       "      <td>136.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>English</td>\n",
       "      <td>474544677.0</td>\n",
       "      <td>Star Wars: Episode I - The Phantom Menace</td>\n",
       "      <td>1999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2973</th>\n",
       "      <td>11000000.0</td>\n",
       "      <td>George Lucas</td>\n",
       "      <td>125.0</td>\n",
       "      <td>8.7</td>\n",
       "      <td>English</td>\n",
       "      <td>460935665.0</td>\n",
       "      <td>Star Wars: Episode IV - A New Hope</td>\n",
       "      <td>1977.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           budget      director_name  duration  imdb_score language  \\\n",
       "26    200000000.0      James Cameron     194.0         7.7  English   \n",
       "29    150000000.0    Colin Trevorrow     124.0         7.0  English   \n",
       "17    220000000.0        Joss Whedon     173.0         8.1  English   \n",
       "66    185000000.0  Christopher Nolan     152.0         9.0  English   \n",
       "237   115000000.0       George Lucas     136.0         6.5  English   \n",
       "2973   11000000.0       George Lucas     125.0         8.7  English   \n",
       "\n",
       "          revenue                                      title  title_year  \n",
       "26    658672302.0                                    Titanic      1997.0  \n",
       "29    652177271.0                             Jurassic World      2015.0  \n",
       "17    623279547.0                               The Avengers      2012.0  \n",
       "66    533316061.0                            The Dark Knight      2008.0  \n",
       "237   474544677.0  Star Wars: Episode I - The Phantom Menace      1999.0  \n",
       "2973  460935665.0         Star Wars: Episode IV - A New Hope      1977.0  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_reduced.sort_values('revenue', ascending=False)[:6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4312</th>\n",
       "      <td>17000000.0</td>\n",
       "      <td>John Stockwell</td>\n",
       "      <td>90.0</td>\n",
       "      <td>9.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kickboxer: Vengeance</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4277</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Mitchell Altieri</td>\n",
       "      <td>87.0</td>\n",
       "      <td>8.7</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A Beginner's Guide to Snuff</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3798</th>\n",
       "      <td>4400000.0</td>\n",
       "      <td>Raja Menon</td>\n",
       "      <td>130.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>Hindi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Airlift</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>250000000.0</td>\n",
       "      <td>Anthony Russo</td>\n",
       "      <td>147.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>English</td>\n",
       "      <td>407197282.0</td>\n",
       "      <td>Captain America: Civil War</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Hideaki Anno</td>\n",
       "      <td>120.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Godzilla Resurgence</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>803</th>\n",
       "      <td>58000000.0</td>\n",
       "      <td>Tim Miller</td>\n",
       "      <td>108.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>English</td>\n",
       "      <td>363024263.0</td>\n",
       "      <td>Deadpool</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3367</th>\n",
       "      <td>8000000.0</td>\n",
       "      <td>Bruce Beresford</td>\n",
       "      <td>104.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mr. Church</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>175000000.0</td>\n",
       "      <td>Jon Favreau</td>\n",
       "      <td>106.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>English</td>\n",
       "      <td>362645141.0</td>\n",
       "      <td>The Jungle Book</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1186</th>\n",
       "      <td>40000000.0</td>\n",
       "      <td>James Wan</td>\n",
       "      <td>134.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>English</td>\n",
       "      <td>102310175.0</td>\n",
       "      <td>The Conjuring 2</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2355</th>\n",
       "      <td>NaN</td>\n",
       "      <td>James Schamus</td>\n",
       "      <td>110.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>Hebrew</td>\n",
       "      <td>560512.0</td>\n",
       "      <td>Indignation</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3312</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Justin Tipping</td>\n",
       "      <td>80.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kicks</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3252</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Hong-jin Na</td>\n",
       "      <td>156.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>Korean</td>\n",
       "      <td>770629.0</td>\n",
       "      <td>The Wailing</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2152</th>\n",
       "      <td>20000000.0</td>\n",
       "      <td>Thea Sharrock</td>\n",
       "      <td>110.0</td>\n",
       "      <td>7.6</td>\n",
       "      <td>English</td>\n",
       "      <td>56154094.0</td>\n",
       "      <td>Me Before You</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>185000000.0</td>\n",
       "      <td>Justin Lin</td>\n",
       "      <td>122.0</td>\n",
       "      <td>7.5</td>\n",
       "      <td>English</td>\n",
       "      <td>130468626.0</td>\n",
       "      <td>Star Trek Beyond</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1717</th>\n",
       "      <td>19000000.0</td>\n",
       "      <td>Greg Tiernan</td>\n",
       "      <td>89.0</td>\n",
       "      <td>7.5</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sausage Party</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1927</th>\n",
       "      <td>23000000.0</td>\n",
       "      <td>Dexter Fletcher</td>\n",
       "      <td>106.0</td>\n",
       "      <td>7.5</td>\n",
       "      <td>English</td>\n",
       "      <td>15785632.0</td>\n",
       "      <td>Eddie the Eagle</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>961</th>\n",
       "      <td>50000000.0</td>\n",
       "      <td>Michael Bay</td>\n",
       "      <td>144.0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>English</td>\n",
       "      <td>52822418.0</td>\n",
       "      <td>13 Hours</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4659</th>\n",
       "      <td>500000.0</td>\n",
       "      <td>Darren Lynn Bousman</td>\n",
       "      <td>97.0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Alleluia! The Devil's Carnival</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>178000000.0</td>\n",
       "      <td>Bryan Singer</td>\n",
       "      <td>144.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>English</td>\n",
       "      <td>154985087.0</td>\n",
       "      <td>X-Men: Apocalypse</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>160000000.0</td>\n",
       "      <td>Duncan Jones</td>\n",
       "      <td>123.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>English</td>\n",
       "      <td>46978995.0</td>\n",
       "      <td>Warcraft</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1062</th>\n",
       "      <td>25000000.0</td>\n",
       "      <td>Brad Furman</td>\n",
       "      <td>127.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>English</td>\n",
       "      <td>14946229.0</td>\n",
       "      <td>The Infiltrator</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3075</th>\n",
       "      <td>65000000.0</td>\n",
       "      <td>David Lowery</td>\n",
       "      <td>102.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pete's Dragon</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3629</th>\n",
       "      <td>15000000.0</td>\n",
       "      <td>Dan Trachtenberg</td>\n",
       "      <td>104.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>English</td>\n",
       "      <td>71897215.0</td>\n",
       "      <td>10 Cloverfield Lane</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>145000000.0</td>\n",
       "      <td>Alessandro Carloni</td>\n",
       "      <td>95.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>English</td>\n",
       "      <td>143523463.0</td>\n",
       "      <td>Kung Fu Panda 3</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2322</th>\n",
       "      <td>20000000.0</td>\n",
       "      <td>Jonathan Jakubowicz</td>\n",
       "      <td>105.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hands of Stone</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3477</th>\n",
       "      <td>8700000.0</td>\n",
       "      <td>Kim Nguyen</td>\n",
       "      <td>96.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Two Lovers and a Bear</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4605</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Thomas Lilti</td>\n",
       "      <td>102.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>French</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Irreplaceable</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>120000000.0</td>\n",
       "      <td>Paul Greengrass</td>\n",
       "      <td>123.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>English</td>\n",
       "      <td>108521835.0</td>\n",
       "      <td>Jason Bourne</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1736</th>\n",
       "      <td>29000000.0</td>\n",
       "      <td>Stephen Frears</td>\n",
       "      <td>110.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Florence Foster Jenkins</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2211</th>\n",
       "      <td>20000000.0</td>\n",
       "      <td>Henry Joost</td>\n",
       "      <td>96.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>English</td>\n",
       "      <td>28876924.0</td>\n",
       "      <td>Nerve</td>\n",
       "      <td>2016.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4196</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Get Real</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4234</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wings</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4362</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Streets of San Francisco</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4383</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Girlfriend Experience</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Christopher Barnard</td>\n",
       "      <td>22.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10,000 B.C.</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1955</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Powerpuff Girls</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2313</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Doombolt Chase</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Doug Walker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Star Wars: Episode VII - The Force Awakens</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3315</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Player</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4416</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.1</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wolf Creek</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>817</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sex and the City</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1014</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Defiance</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1431</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hit the Floor</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2214</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yu-Gi-Oh! Duel Monsters</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2053</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rogue</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>824</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Anger Management</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2230</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fired Up</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2429</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Unforgettable</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4704</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Revolution</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>807</th>\n",
       "      <td>3000000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sabrina, the Teenage Witch</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2341</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gone, Baby, Gone</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2518</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Messengers</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2733</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ghost Hunters</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3873</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sonny with a Chance</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4526</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jesse</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1391</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rush Hour</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4031</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>173.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Creature</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2165</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Meet the Browns</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3246</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Bold and the Beautiful</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2119</th>\n",
       "      <td>3000000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>2.9</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Bachelor</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4915 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           budget        director_name  duration  imdb_score  language  \\\n",
       "4312   17000000.0       John Stockwell      90.0         9.1       NaN   \n",
       "4277          NaN     Mitchell Altieri      87.0         8.7   English   \n",
       "3798    4400000.0           Raja Menon     130.0         8.5     Hindi   \n",
       "27    250000000.0        Anthony Russo     147.0         8.2   English   \n",
       "98            NaN         Hideaki Anno     120.0         8.2  Japanese   \n",
       "803    58000000.0           Tim Miller     108.0         8.1   English   \n",
       "3367    8000000.0      Bruce Beresford     104.0         8.0   English   \n",
       "79    175000000.0          Jon Favreau     106.0         7.8   English   \n",
       "1186   40000000.0            James Wan     134.0         7.8   English   \n",
       "2355          NaN        James Schamus     110.0         7.8    Hebrew   \n",
       "3312          NaN       Justin Tipping      80.0         7.8   English   \n",
       "3252          NaN          Hong-jin Na     156.0         7.7    Korean   \n",
       "2152   20000000.0        Thea Sharrock     110.0         7.6   English   \n",
       "57    185000000.0           Justin Lin     122.0         7.5   English   \n",
       "1717   19000000.0         Greg Tiernan      89.0         7.5   English   \n",
       "1927   23000000.0      Dexter Fletcher     106.0         7.5   English   \n",
       "961    50000000.0          Michael Bay     144.0         7.4   English   \n",
       "4659     500000.0  Darren Lynn Bousman      97.0         7.4   English   \n",
       "65    178000000.0         Bryan Singer     144.0         7.3   English   \n",
       "108   160000000.0         Duncan Jones     123.0         7.3   English   \n",
       "1062   25000000.0          Brad Furman     127.0         7.3   English   \n",
       "3075   65000000.0         David Lowery     102.0         7.3   English   \n",
       "3629   15000000.0     Dan Trachtenberg     104.0         7.3   English   \n",
       "153   145000000.0   Alessandro Carloni      95.0         7.2   English   \n",
       "2322   20000000.0  Jonathan Jakubowicz     105.0         7.2   English   \n",
       "3477    8700000.0           Kim Nguyen      96.0         7.2   English   \n",
       "4605          NaN         Thomas Lilti     102.0         7.2    French   \n",
       "222   120000000.0      Paul Greengrass     123.0         7.1   English   \n",
       "1736   29000000.0       Stephen Frears     110.0         7.1   English   \n",
       "2211   20000000.0          Henry Joost      96.0         7.1   English   \n",
       "...           ...                  ...       ...         ...       ...   \n",
       "4196          NaN                  NaN      60.0         7.3   English   \n",
       "4234          NaN                  NaN      30.0         7.3   English   \n",
       "4362          NaN                  NaN     120.0         7.3   English   \n",
       "4383          NaN                  NaN      27.0         7.3   English   \n",
       "276           NaN  Christopher Barnard      22.0         7.2       NaN   \n",
       "1955          NaN                  NaN      30.0         7.2   English   \n",
       "2313          NaN                  NaN      30.0         7.2   English   \n",
       "4             NaN          Doug Walker       NaN         7.1       NaN   \n",
       "3315          NaN                  NaN      60.0         7.1   English   \n",
       "4416          NaN                  NaN       NaN         7.1   English   \n",
       "817           NaN                  NaN      30.0         7.0   English   \n",
       "1014          NaN                  NaN      43.0         7.0   English   \n",
       "1431          NaN                  NaN      60.0         7.0   English   \n",
       "2214          NaN                  NaN      24.0         7.0  Japanese   \n",
       "2053          NaN                  NaN      50.0         6.8   English   \n",
       "824           NaN                  NaN      22.0         6.7   English   \n",
       "2230          NaN                  NaN      30.0         6.7   English   \n",
       "2429          NaN                  NaN      60.0         6.7       NaN   \n",
       "4704          NaN                  NaN      43.0         6.7   English   \n",
       "807     3000000.0                  NaN      22.0         6.6   English   \n",
       "2341          NaN                  NaN      43.0         6.6   English   \n",
       "2518          NaN                  NaN      60.0         6.6   English   \n",
       "2733          NaN                  NaN      60.0         6.6   English   \n",
       "3873          NaN                  NaN      23.0         6.1   English   \n",
       "4526          NaN                  NaN      30.0         5.9   English   \n",
       "1391          NaN                  NaN      43.0         5.8   English   \n",
       "4031          NaN                  NaN     173.0         5.0   English   \n",
       "2165          NaN                  NaN      30.0         3.5   English   \n",
       "3246          NaN                  NaN      30.0         3.5   English   \n",
       "2119    3000000.0                  NaN      60.0         2.9   English   \n",
       "\n",
       "          revenue                                       title  title_year  \n",
       "4312          NaN                        Kickboxer: Vengeance      2016.0  \n",
       "4277          NaN                 A Beginner's Guide to Snuff      2016.0  \n",
       "3798          NaN                                     Airlift      2016.0  \n",
       "27    407197282.0                  Captain America: Civil War      2016.0  \n",
       "98            NaN                         Godzilla Resurgence      2016.0  \n",
       "803   363024263.0                                    Deadpool      2016.0  \n",
       "3367          NaN                                  Mr. Church      2016.0  \n",
       "79    362645141.0                             The Jungle Book      2016.0  \n",
       "1186  102310175.0                             The Conjuring 2      2016.0  \n",
       "2355     560512.0                                 Indignation      2016.0  \n",
       "3312          NaN                                       Kicks      2016.0  \n",
       "3252     770629.0                                 The Wailing      2016.0  \n",
       "2152   56154094.0                               Me Before You      2016.0  \n",
       "57    130468626.0                            Star Trek Beyond      2016.0  \n",
       "1717          NaN                               Sausage Party      2016.0  \n",
       "1927   15785632.0                             Eddie the Eagle      2016.0  \n",
       "961    52822418.0                                    13 Hours      2016.0  \n",
       "4659          NaN              Alleluia! The Devil's Carnival      2016.0  \n",
       "65    154985087.0                           X-Men: Apocalypse      2016.0  \n",
       "108    46978995.0                                    Warcraft      2016.0  \n",
       "1062   14946229.0                             The Infiltrator      2016.0  \n",
       "3075          NaN                               Pete's Dragon      2016.0  \n",
       "3629   71897215.0                         10 Cloverfield Lane      2016.0  \n",
       "153   143523463.0                             Kung Fu Panda 3      2016.0  \n",
       "2322          NaN                              Hands of Stone      2016.0  \n",
       "3477          NaN                       Two Lovers and a Bear      2016.0  \n",
       "4605          NaN                               Irreplaceable      2016.0  \n",
       "222   108521835.0                                Jason Bourne      2016.0  \n",
       "1736          NaN                     Florence Foster Jenkins      2016.0  \n",
       "2211   28876924.0                                       Nerve      2016.0  \n",
       "...           ...                                         ...         ...  \n",
       "4196          NaN                                    Get Real         NaN  \n",
       "4234          NaN                                       Wings         NaN  \n",
       "4362          NaN                The Streets of San Francisco         NaN  \n",
       "4383          NaN                   The Girlfriend Experience         NaN  \n",
       "276           NaN                                 10,000 B.C.         NaN  \n",
       "1955          NaN                         The Powerpuff Girls         NaN  \n",
       "2313          NaN                          The Doombolt Chase         NaN  \n",
       "4             NaN  Star Wars: Episode VII - The Force Awakens         NaN  \n",
       "3315          NaN                                  The Player         NaN  \n",
       "4416          NaN                                  Wolf Creek         NaN  \n",
       "817           NaN                            Sex and the City         NaN  \n",
       "1014          NaN                                    Defiance         NaN  \n",
       "1431          NaN                               Hit the Floor         NaN  \n",
       "2214          NaN                     Yu-Gi-Oh! Duel Monsters         NaN  \n",
       "2053          NaN                                       Rogue         NaN  \n",
       "824           NaN                            Anger Management         NaN  \n",
       "2230          NaN                                    Fired Up         NaN  \n",
       "2429          NaN                               Unforgettable         NaN  \n",
       "4704          NaN                                  Revolution         NaN  \n",
       "807           NaN                  Sabrina, the Teenage Witch         NaN  \n",
       "2341          NaN                            Gone, Baby, Gone         NaN  \n",
       "2518          NaN                              The Messengers         NaN  \n",
       "2733          NaN                               Ghost Hunters         NaN  \n",
       "3873          NaN                         Sonny with a Chance         NaN  \n",
       "4526          NaN                                       Jesse         NaN  \n",
       "1391          NaN                                   Rush Hour         NaN  \n",
       "4031          NaN                                    Creature         NaN  \n",
       "2165          NaN                             Meet the Browns         NaN  \n",
       "3246          NaN                  The Bold and the Beautiful         NaN  \n",
       "2119          NaN                                The Bachelor         NaN  \n",
       "\n",
       "[4915 rows x 8 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_reduced.sort_values(['title_year', 'imdb_score'], ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous pouvons déjà remarquer que certaines colonnes ont plusieurs valeurs manquantes. Nous y reviendrons plus bas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Selectionner une colonne d'un df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous souhaitons voir les données d'une colonne particulière en la sélectionnant. Considérons la colonne movie_title qui contient le titre des films dans notre DataFrame:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['color', 'director_name', 'num_critic_for_reviews', 'duration',\n",
       "       'director_facebook_likes', 'actor_3_facebook_likes', 'actor_2_name',\n",
       "       'actor_1_facebook_likes', 'gross', 'genres', 'actor_1_name',\n",
       "       'movie_title', 'num_voted_users', 'cast_total_facebook_likes',\n",
       "       'actor_3_name', 'facenumber_in_poster', 'plot_keywords',\n",
       "       'movie_imdb_link', 'num_user_for_reviews', 'language', 'country',\n",
       "       'content_rating', 'budget', 'title_year', 'actor_2_facebook_likes',\n",
       "       'imdb_score', 'aspect_ratio', 'movie_facebook_likes'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                            Avatar\n",
       "1          Pirates of the Caribbean: At World's End\n",
       "2                                           Spectre\n",
       "3                             The Dark Knight Rises\n",
       "4        Star Wars: Episode VII - The Force Awakens\n",
       "5                                       John Carter\n",
       "6                                      Spider-Man 3\n",
       "7                                           Tangled\n",
       "8                           Avengers: Age of Ultron\n",
       "9            Harry Potter and the Half-Blood Prince\n",
       "10               Batman v Superman: Dawn of Justice\n",
       "11                                 Superman Returns\n",
       "12                                Quantum of Solace\n",
       "13       Pirates of the Caribbean: Dead Man's Chest\n",
       "14                                  The Lone Ranger\n",
       "15                                     Man of Steel\n",
       "16         The Chronicles of Narnia: Prince Caspian\n",
       "17                                     The Avengers\n",
       "18      Pirates of the Caribbean: On Stranger Tides\n",
       "19                                   Men in Black 3\n",
       "20        The Hobbit: The Battle of the Five Armies\n",
       "21                           The Amazing Spider-Man\n",
       "22                                       Robin Hood\n",
       "23              The Hobbit: The Desolation of Smaug\n",
       "24                               The Golden Compass\n",
       "25                                        King Kong\n",
       "26                                          Titanic\n",
       "27                       Captain America: Civil War\n",
       "28                                       Battleship\n",
       "29                                   Jurassic World\n",
       "                           ...                     \n",
       "4886                                         Manito\n",
       "4887                                        Rampage\n",
       "4888                                        Slacker\n",
       "4889                                    Dutch Kills\n",
       "4890                                      Dry Spell\n",
       "4891                                       Flywheel\n",
       "4892                                         Exeter\n",
       "4893                                     The Ridges\n",
       "4894                                The Puffy Chair\n",
       "4895                           Stories of Our Lives\n",
       "4896                               Breaking Upwards\n",
       "4897                       All Superheroes Must Die\n",
       "4898                                 Pink Flamingos\n",
       "4899                                          Clean\n",
       "4900                                     The Circle\n",
       "4901                                    Tin Can Man\n",
       "4902                                       The Cure\n",
       "4903                                 On the Downlow\n",
       "4904                   Sanctuary; Quite a Conundrum\n",
       "4905                                           Bang\n",
       "4906                                         Primer\n",
       "4907                                         Cavite\n",
       "4908                                    El Mariachi\n",
       "4909                                The Mongol King\n",
       "4910                                      Newlyweds\n",
       "4911                        Signed Sealed Delivered\n",
       "4912                                  The Following\n",
       "4913                           A Plague So Pleasant\n",
       "4914                               Shanghai Calling\n",
       "4915                              My Date with Drew\n",
       "Name: movie_title, Length: 4916, dtype: object"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie['movie_title']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Une colonne est appelée Série dans Pandas. Plusieurs fonctions de Pandas  applicables aux DataFrames le sont aussi pour les Séries mais pas toutes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(movie['movie_title'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pour sélectionner une colonne, il faut donc mettre son nom entre `[ ]` avec le nom du df à gauche. Cela vous rapelle probablement la sélection de valeur dans un dictionnaire Python:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "un_dict = {\"titre\": \"Seigneur des anneaux\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Seigneur des anneaux'"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "un_dict['titre']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sélectionner plusieurs colonnes d'un DataFrame"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ici, nous souhaitons sélectionner les colonne `movie_title` ,  `language` et `director_name` pour répondre à une question d'analyse ou pour une visualition:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['color', 'director_name', 'num_critic_for_reviews', 'duration',\n",
       "       'director_facebook_likes', 'actor_3_facebook_likes', 'actor_2_name',\n",
       "       'actor_1_facebook_likes', 'gross', 'genres', 'actor_1_name',\n",
       "       'movie_title', 'num_voted_users', 'cast_total_facebook_likes',\n",
       "       'actor_3_name', 'facenumber_in_poster', 'plot_keywords',\n",
       "       'movie_imdb_link', 'num_user_for_reviews', 'language', 'country',\n",
       "       'content_rating', 'budget', 'title_year', 'actor_2_facebook_likes',\n",
       "       'imdb_score', 'aspect_ratio', 'movie_facebook_likes'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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>movie_title</th>\n",
       "      <th>language</th>\n",
       "      <th>director_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avatar</td>\n",
       "      <td>English</td>\n",
       "      <td>James Cameron</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>English</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Spectre</td>\n",
       "      <td>English</td>\n",
       "      <td>Sam Mendes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>English</td>\n",
       "      <td>Christopher Nolan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Star Wars: Episode VII - The Force Awakens</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Doug Walker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>John Carter</td>\n",
       "      <td>English</td>\n",
       "      <td>Andrew Stanton</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Spider-Man 3</td>\n",
       "      <td>English</td>\n",
       "      <td>Sam Raimi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Tangled</td>\n",
       "      <td>English</td>\n",
       "      <td>Nathan Greno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Avengers: Age of Ultron</td>\n",
       "      <td>English</td>\n",
       "      <td>Joss Whedon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Harry Potter and the Half-Blood Prince</td>\n",
       "      <td>English</td>\n",
       "      <td>David Yates</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Batman v Superman: Dawn of Justice</td>\n",
       "      <td>English</td>\n",
       "      <td>Zack Snyder</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Superman Returns</td>\n",
       "      <td>English</td>\n",
       "      <td>Bryan Singer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Quantum of Solace</td>\n",
       "      <td>English</td>\n",
       "      <td>Marc Forster</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Pirates of the Caribbean: Dead Man's Chest</td>\n",
       "      <td>English</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>The Lone Ranger</td>\n",
       "      <td>English</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Man of Steel</td>\n",
       "      <td>English</td>\n",
       "      <td>Zack Snyder</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>The Chronicles of Narnia: Prince Caspian</td>\n",
       "      <td>English</td>\n",
       "      <td>Andrew Adamson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>The Avengers</td>\n",
       "      <td>English</td>\n",
       "      <td>Joss Whedon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Pirates of the Caribbean: On Stranger Tides</td>\n",
       "      <td>English</td>\n",
       "      <td>Rob Marshall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Men in Black 3</td>\n",
       "      <td>English</td>\n",
       "      <td>Barry Sonnenfeld</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>The Hobbit: The Battle of the Five Armies</td>\n",
       "      <td>English</td>\n",
       "      <td>Peter Jackson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>The Amazing Spider-Man</td>\n",
       "      <td>English</td>\n",
       "      <td>Marc Webb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Robin Hood</td>\n",
       "      <td>English</td>\n",
       "      <td>Ridley Scott</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>The Hobbit: The Desolation of Smaug</td>\n",
       "      <td>English</td>\n",
       "      <td>Peter Jackson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>The Golden Compass</td>\n",
       "      <td>English</td>\n",
       "      <td>Chris Weitz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>King Kong</td>\n",
       "      <td>English</td>\n",
       "      <td>Peter Jackson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Titanic</td>\n",
       "      <td>English</td>\n",
       "      <td>James Cameron</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Captain America: Civil War</td>\n",
       "      <td>English</td>\n",
       "      <td>Anthony Russo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Battleship</td>\n",
       "      <td>English</td>\n",
       "      <td>Peter Berg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>English</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4886</th>\n",
       "      <td>Manito</td>\n",
       "      <td>English</td>\n",
       "      <td>Eric Eason</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4887</th>\n",
       "      <td>Rampage</td>\n",
       "      <td>English</td>\n",
       "      <td>Uwe Boll</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4888</th>\n",
       "      <td>Slacker</td>\n",
       "      <td>English</td>\n",
       "      <td>Richard Linklater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4889</th>\n",
       "      <td>Dutch Kills</td>\n",
       "      <td>English</td>\n",
       "      <td>Joseph Mazzella</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4890</th>\n",
       "      <td>Dry Spell</td>\n",
       "      <td>English</td>\n",
       "      <td>Travis Legge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4891</th>\n",
       "      <td>Flywheel</td>\n",
       "      <td>English</td>\n",
       "      <td>Alex Kendrick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4892</th>\n",
       "      <td>Exeter</td>\n",
       "      <td>English</td>\n",
       "      <td>Marcus Nispel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4893</th>\n",
       "      <td>The Ridges</td>\n",
       "      <td>English</td>\n",
       "      <td>Brandon Landers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4894</th>\n",
       "      <td>The Puffy Chair</td>\n",
       "      <td>English</td>\n",
       "      <td>Jay Duplass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4895</th>\n",
       "      <td>Stories of Our Lives</td>\n",
       "      <td>Swahili</td>\n",
       "      <td>Jim Chuchu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4896</th>\n",
       "      <td>Breaking Upwards</td>\n",
       "      <td>English</td>\n",
       "      <td>Daryl Wein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4897</th>\n",
       "      <td>All Superheroes Must Die</td>\n",
       "      <td>English</td>\n",
       "      <td>Jason Trost</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4898</th>\n",
       "      <td>Pink Flamingos</td>\n",
       "      <td>English</td>\n",
       "      <td>John Waters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4899</th>\n",
       "      <td>Clean</td>\n",
       "      <td>French</td>\n",
       "      <td>Olivier Assayas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4900</th>\n",
       "      <td>The Circle</td>\n",
       "      <td>Persian</td>\n",
       "      <td>Jafar Panahi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4901</th>\n",
       "      <td>Tin Can Man</td>\n",
       "      <td>English</td>\n",
       "      <td>Ivan Kavanagh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4902</th>\n",
       "      <td>The Cure</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Kiyoshi Kurosawa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4903</th>\n",
       "      <td>On the Downlow</td>\n",
       "      <td>English</td>\n",
       "      <td>Tadeo Garcia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4904</th>\n",
       "      <td>Sanctuary; Quite a Conundrum</td>\n",
       "      <td>English</td>\n",
       "      <td>Thomas L. Phillips</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4905</th>\n",
       "      <td>Bang</td>\n",
       "      <td>English</td>\n",
       "      <td>Ash Baron-Cohen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4906</th>\n",
       "      <td>Primer</td>\n",
       "      <td>English</td>\n",
       "      <td>Shane Carruth</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4907</th>\n",
       "      <td>Cavite</td>\n",
       "      <td>English</td>\n",
       "      <td>Neill Dela Llana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4908</th>\n",
       "      <td>El Mariachi</td>\n",
       "      <td>Spanish</td>\n",
       "      <td>Robert Rodriguez</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4909</th>\n",
       "      <td>The Mongol King</td>\n",
       "      <td>English</td>\n",
       "      <td>Anthony Vallone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4910</th>\n",
       "      <td>Newlyweds</td>\n",
       "      <td>English</td>\n",
       "      <td>Edward Burns</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4911</th>\n",
       "      <td>Signed Sealed Delivered</td>\n",
       "      <td>English</td>\n",
       "      <td>Scott Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4912</th>\n",
       "      <td>The Following</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4913</th>\n",
       "      <td>A Plague So Pleasant</td>\n",
       "      <td>English</td>\n",
       "      <td>Benjamin Roberds</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4914</th>\n",
       "      <td>Shanghai Calling</td>\n",
       "      <td>English</td>\n",
       "      <td>Daniel Hsia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4915</th>\n",
       "      <td>My Date with Drew</td>\n",
       "      <td>English</td>\n",
       "      <td>Jon Gunn</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4916 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      movie_title  language  \\\n",
       "0                                          Avatar   English   \n",
       "1        Pirates of the Caribbean: At World's End   English   \n",
       "2                                         Spectre   English   \n",
       "3                           The Dark Knight Rises   English   \n",
       "4      Star Wars: Episode VII - The Force Awakens       NaN   \n",
       "5                                     John Carter   English   \n",
       "6                                    Spider-Man 3   English   \n",
       "7                                         Tangled   English   \n",
       "8                         Avengers: Age of Ultron   English   \n",
       "9          Harry Potter and the Half-Blood Prince   English   \n",
       "10             Batman v Superman: Dawn of Justice   English   \n",
       "11                               Superman Returns   English   \n",
       "12                              Quantum of Solace   English   \n",
       "13     Pirates of the Caribbean: Dead Man's Chest   English   \n",
       "14                                The Lone Ranger   English   \n",
       "15                                   Man of Steel   English   \n",
       "16       The Chronicles of Narnia: Prince Caspian   English   \n",
       "17                                   The Avengers   English   \n",
       "18    Pirates of the Caribbean: On Stranger Tides   English   \n",
       "19                                 Men in Black 3   English   \n",
       "20      The Hobbit: The Battle of the Five Armies   English   \n",
       "21                         The Amazing Spider-Man   English   \n",
       "22                                     Robin Hood   English   \n",
       "23            The Hobbit: The Desolation of Smaug   English   \n",
       "24                             The Golden Compass   English   \n",
       "25                                      King Kong   English   \n",
       "26                                        Titanic   English   \n",
       "27                     Captain America: Civil War   English   \n",
       "28                                     Battleship   English   \n",
       "29                                 Jurassic World   English   \n",
       "...                                           ...       ...   \n",
       "4886                                       Manito   English   \n",
       "4887                                      Rampage   English   \n",
       "4888                                      Slacker   English   \n",
       "4889                                  Dutch Kills   English   \n",
       "4890                                    Dry Spell   English   \n",
       "4891                                     Flywheel   English   \n",
       "4892                                       Exeter   English   \n",
       "4893                                   The Ridges   English   \n",
       "4894                              The Puffy Chair   English   \n",
       "4895                         Stories of Our Lives   Swahili   \n",
       "4896                             Breaking Upwards   English   \n",
       "4897                     All Superheroes Must Die   English   \n",
       "4898                               Pink Flamingos   English   \n",
       "4899                                        Clean    French   \n",
       "4900                                   The Circle   Persian   \n",
       "4901                                  Tin Can Man   English   \n",
       "4902                                     The Cure  Japanese   \n",
       "4903                               On the Downlow   English   \n",
       "4904                 Sanctuary; Quite a Conundrum   English   \n",
       "4905                                         Bang   English   \n",
       "4906                                       Primer   English   \n",
       "4907                                       Cavite   English   \n",
       "4908                                  El Mariachi   Spanish   \n",
       "4909                              The Mongol King   English   \n",
       "4910                                    Newlyweds   English   \n",
       "4911                      Signed Sealed Delivered   English   \n",
       "4912                                The Following   English   \n",
       "4913                         A Plague So Pleasant   English   \n",
       "4914                             Shanghai Calling   English   \n",
       "4915                            My Date with Drew   English   \n",
       "\n",
       "           director_name  \n",
       "0          James Cameron  \n",
       "1         Gore Verbinski  \n",
       "2             Sam Mendes  \n",
       "3      Christopher Nolan  \n",
       "4            Doug Walker  \n",
       "5         Andrew Stanton  \n",
       "6              Sam Raimi  \n",
       "7           Nathan Greno  \n",
       "8            Joss Whedon  \n",
       "9            David Yates  \n",
       "10           Zack Snyder  \n",
       "11          Bryan Singer  \n",
       "12          Marc Forster  \n",
       "13        Gore Verbinski  \n",
       "14        Gore Verbinski  \n",
       "15           Zack Snyder  \n",
       "16        Andrew Adamson  \n",
       "17           Joss Whedon  \n",
       "18          Rob Marshall  \n",
       "19      Barry Sonnenfeld  \n",
       "20         Peter Jackson  \n",
       "21             Marc Webb  \n",
       "22          Ridley Scott  \n",
       "23         Peter Jackson  \n",
       "24           Chris Weitz  \n",
       "25         Peter Jackson  \n",
       "26         James Cameron  \n",
       "27         Anthony Russo  \n",
       "28            Peter Berg  \n",
       "29       Colin Trevorrow  \n",
       "...                  ...  \n",
       "4886          Eric Eason  \n",
       "4887            Uwe Boll  \n",
       "4888   Richard Linklater  \n",
       "4889     Joseph Mazzella  \n",
       "4890        Travis Legge  \n",
       "4891       Alex Kendrick  \n",
       "4892       Marcus Nispel  \n",
       "4893     Brandon Landers  \n",
       "4894         Jay Duplass  \n",
       "4895          Jim Chuchu  \n",
       "4896          Daryl Wein  \n",
       "4897         Jason Trost  \n",
       "4898         John Waters  \n",
       "4899     Olivier Assayas  \n",
       "4900        Jafar Panahi  \n",
       "4901       Ivan Kavanagh  \n",
       "4902    Kiyoshi Kurosawa  \n",
       "4903        Tadeo Garcia  \n",
       "4904  Thomas L. Phillips  \n",
       "4905     Ash Baron-Cohen  \n",
       "4906       Shane Carruth  \n",
       "4907    Neill Dela Llana  \n",
       "4908    Robert Rodriguez  \n",
       "4909     Anthony Vallone  \n",
       "4910        Edward Burns  \n",
       "4911         Scott Smith  \n",
       "4912                 NaN  \n",
       "4913    Benjamin Roberds  \n",
       "4914         Daniel Hsia  \n",
       "4915            Jon Gunn  \n",
       "\n",
       "[4916 rows x 3 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "liste_des_colonnes = ['movie_title', 'language', 'director_name']\n",
    "movie[liste_des_colonnes]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pour le faire nous avons créer une liste des noms des colonnes puis avons fait la sélection en mettrant la liste en les crochets `[ ]`. Nous pouvons le faire directement sans passer par une liste aléatoire : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>movie_title</th>\n",
       "      <th>language</th>\n",
       "      <th>director_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avatar</td>\n",
       "      <td>English</td>\n",
       "      <td>James Cameron</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>English</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Spectre</td>\n",
       "      <td>English</td>\n",
       "      <td>Sam Mendes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>English</td>\n",
       "      <td>Christopher Nolan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Star Wars: Episode VII - The Force Awakens</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Doug Walker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>John Carter</td>\n",
       "      <td>English</td>\n",
       "      <td>Andrew Stanton</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Spider-Man 3</td>\n",
       "      <td>English</td>\n",
       "      <td>Sam Raimi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Tangled</td>\n",
       "      <td>English</td>\n",
       "      <td>Nathan Greno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Avengers: Age of Ultron</td>\n",
       "      <td>English</td>\n",
       "      <td>Joss Whedon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Harry Potter and the Half-Blood Prince</td>\n",
       "      <td>English</td>\n",
       "      <td>David Yates</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Batman v Superman: Dawn of Justice</td>\n",
       "      <td>English</td>\n",
       "      <td>Zack Snyder</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Superman Returns</td>\n",
       "      <td>English</td>\n",
       "      <td>Bryan Singer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Quantum of Solace</td>\n",
       "      <td>English</td>\n",
       "      <td>Marc Forster</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Pirates of the Caribbean: Dead Man's Chest</td>\n",
       "      <td>English</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>The Lone Ranger</td>\n",
       "      <td>English</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Man of Steel</td>\n",
       "      <td>English</td>\n",
       "      <td>Zack Snyder</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>The Chronicles of Narnia: Prince Caspian</td>\n",
       "      <td>English</td>\n",
       "      <td>Andrew Adamson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>The Avengers</td>\n",
       "      <td>English</td>\n",
       "      <td>Joss Whedon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Pirates of the Caribbean: On Stranger Tides</td>\n",
       "      <td>English</td>\n",
       "      <td>Rob Marshall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Men in Black 3</td>\n",
       "      <td>English</td>\n",
       "      <td>Barry Sonnenfeld</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>The Hobbit: The Battle of the Five Armies</td>\n",
       "      <td>English</td>\n",
       "      <td>Peter Jackson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>The Amazing Spider-Man</td>\n",
       "      <td>English</td>\n",
       "      <td>Marc Webb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Robin Hood</td>\n",
       "      <td>English</td>\n",
       "      <td>Ridley Scott</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>The Hobbit: The Desolation of Smaug</td>\n",
       "      <td>English</td>\n",
       "      <td>Peter Jackson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>The Golden Compass</td>\n",
       "      <td>English</td>\n",
       "      <td>Chris Weitz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>King Kong</td>\n",
       "      <td>English</td>\n",
       "      <td>Peter Jackson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Titanic</td>\n",
       "      <td>English</td>\n",
       "      <td>James Cameron</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Captain America: Civil War</td>\n",
       "      <td>English</td>\n",
       "      <td>Anthony Russo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Battleship</td>\n",
       "      <td>English</td>\n",
       "      <td>Peter Berg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>English</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4886</th>\n",
       "      <td>Manito</td>\n",
       "      <td>English</td>\n",
       "      <td>Eric Eason</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4887</th>\n",
       "      <td>Rampage</td>\n",
       "      <td>English</td>\n",
       "      <td>Uwe Boll</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4888</th>\n",
       "      <td>Slacker</td>\n",
       "      <td>English</td>\n",
       "      <td>Richard Linklater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4889</th>\n",
       "      <td>Dutch Kills</td>\n",
       "      <td>English</td>\n",
       "      <td>Joseph Mazzella</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4890</th>\n",
       "      <td>Dry Spell</td>\n",
       "      <td>English</td>\n",
       "      <td>Travis Legge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4891</th>\n",
       "      <td>Flywheel</td>\n",
       "      <td>English</td>\n",
       "      <td>Alex Kendrick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4892</th>\n",
       "      <td>Exeter</td>\n",
       "      <td>English</td>\n",
       "      <td>Marcus Nispel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4893</th>\n",
       "      <td>The Ridges</td>\n",
       "      <td>English</td>\n",
       "      <td>Brandon Landers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4894</th>\n",
       "      <td>The Puffy Chair</td>\n",
       "      <td>English</td>\n",
       "      <td>Jay Duplass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4895</th>\n",
       "      <td>Stories of Our Lives</td>\n",
       "      <td>Swahili</td>\n",
       "      <td>Jim Chuchu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4896</th>\n",
       "      <td>Breaking Upwards</td>\n",
       "      <td>English</td>\n",
       "      <td>Daryl Wein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4897</th>\n",
       "      <td>All Superheroes Must Die</td>\n",
       "      <td>English</td>\n",
       "      <td>Jason Trost</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4898</th>\n",
       "      <td>Pink Flamingos</td>\n",
       "      <td>English</td>\n",
       "      <td>John Waters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4899</th>\n",
       "      <td>Clean</td>\n",
       "      <td>French</td>\n",
       "      <td>Olivier Assayas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4900</th>\n",
       "      <td>The Circle</td>\n",
       "      <td>Persian</td>\n",
       "      <td>Jafar Panahi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4901</th>\n",
       "      <td>Tin Can Man</td>\n",
       "      <td>English</td>\n",
       "      <td>Ivan Kavanagh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4902</th>\n",
       "      <td>The Cure</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Kiyoshi Kurosawa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4903</th>\n",
       "      <td>On the Downlow</td>\n",
       "      <td>English</td>\n",
       "      <td>Tadeo Garcia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4904</th>\n",
       "      <td>Sanctuary; Quite a Conundrum</td>\n",
       "      <td>English</td>\n",
       "      <td>Thomas L. Phillips</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4905</th>\n",
       "      <td>Bang</td>\n",
       "      <td>English</td>\n",
       "      <td>Ash Baron-Cohen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4906</th>\n",
       "      <td>Primer</td>\n",
       "      <td>English</td>\n",
       "      <td>Shane Carruth</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4907</th>\n",
       "      <td>Cavite</td>\n",
       "      <td>English</td>\n",
       "      <td>Neill Dela Llana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4908</th>\n",
       "      <td>El Mariachi</td>\n",
       "      <td>Spanish</td>\n",
       "      <td>Robert Rodriguez</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4909</th>\n",
       "      <td>The Mongol King</td>\n",
       "      <td>English</td>\n",
       "      <td>Anthony Vallone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4910</th>\n",
       "      <td>Newlyweds</td>\n",
       "      <td>English</td>\n",
       "      <td>Edward Burns</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4911</th>\n",
       "      <td>Signed Sealed Delivered</td>\n",
       "      <td>English</td>\n",
       "      <td>Scott Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4912</th>\n",
       "      <td>The Following</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4913</th>\n",
       "      <td>A Plague So Pleasant</td>\n",
       "      <td>English</td>\n",
       "      <td>Benjamin Roberds</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4914</th>\n",
       "      <td>Shanghai Calling</td>\n",
       "      <td>English</td>\n",
       "      <td>Daniel Hsia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4915</th>\n",
       "      <td>My Date with Drew</td>\n",
       "      <td>English</td>\n",
       "      <td>Jon Gunn</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4916 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      movie_title  language  \\\n",
       "0                                          Avatar   English   \n",
       "1        Pirates of the Caribbean: At World's End   English   \n",
       "2                                         Spectre   English   \n",
       "3                           The Dark Knight Rises   English   \n",
       "4      Star Wars: Episode VII - The Force Awakens       NaN   \n",
       "5                                     John Carter   English   \n",
       "6                                    Spider-Man 3   English   \n",
       "7                                         Tangled   English   \n",
       "8                         Avengers: Age of Ultron   English   \n",
       "9          Harry Potter and the Half-Blood Prince   English   \n",
       "10             Batman v Superman: Dawn of Justice   English   \n",
       "11                               Superman Returns   English   \n",
       "12                              Quantum of Solace   English   \n",
       "13     Pirates of the Caribbean: Dead Man's Chest   English   \n",
       "14                                The Lone Ranger   English   \n",
       "15                                   Man of Steel   English   \n",
       "16       The Chronicles of Narnia: Prince Caspian   English   \n",
       "17                                   The Avengers   English   \n",
       "18    Pirates of the Caribbean: On Stranger Tides   English   \n",
       "19                                 Men in Black 3   English   \n",
       "20      The Hobbit: The Battle of the Five Armies   English   \n",
       "21                         The Amazing Spider-Man   English   \n",
       "22                                     Robin Hood   English   \n",
       "23            The Hobbit: The Desolation of Smaug   English   \n",
       "24                             The Golden Compass   English   \n",
       "25                                      King Kong   English   \n",
       "26                                        Titanic   English   \n",
       "27                     Captain America: Civil War   English   \n",
       "28                                     Battleship   English   \n",
       "29                                 Jurassic World   English   \n",
       "...                                           ...       ...   \n",
       "4886                                       Manito   English   \n",
       "4887                                      Rampage   English   \n",
       "4888                                      Slacker   English   \n",
       "4889                                  Dutch Kills   English   \n",
       "4890                                    Dry Spell   English   \n",
       "4891                                     Flywheel   English   \n",
       "4892                                       Exeter   English   \n",
       "4893                                   The Ridges   English   \n",
       "4894                              The Puffy Chair   English   \n",
       "4895                         Stories of Our Lives   Swahili   \n",
       "4896                             Breaking Upwards   English   \n",
       "4897                     All Superheroes Must Die   English   \n",
       "4898                               Pink Flamingos   English   \n",
       "4899                                        Clean    French   \n",
       "4900                                   The Circle   Persian   \n",
       "4901                                  Tin Can Man   English   \n",
       "4902                                     The Cure  Japanese   \n",
       "4903                               On the Downlow   English   \n",
       "4904                 Sanctuary; Quite a Conundrum   English   \n",
       "4905                                         Bang   English   \n",
       "4906                                       Primer   English   \n",
       "4907                                       Cavite   English   \n",
       "4908                                  El Mariachi   Spanish   \n",
       "4909                              The Mongol King   English   \n",
       "4910                                    Newlyweds   English   \n",
       "4911                      Signed Sealed Delivered   English   \n",
       "4912                                The Following   English   \n",
       "4913                         A Plague So Pleasant   English   \n",
       "4914                             Shanghai Calling   English   \n",
       "4915                            My Date with Drew   English   \n",
       "\n",
       "           director_name  \n",
       "0          James Cameron  \n",
       "1         Gore Verbinski  \n",
       "2             Sam Mendes  \n",
       "3      Christopher Nolan  \n",
       "4            Doug Walker  \n",
       "5         Andrew Stanton  \n",
       "6              Sam Raimi  \n",
       "7           Nathan Greno  \n",
       "8            Joss Whedon  \n",
       "9            David Yates  \n",
       "10           Zack Snyder  \n",
       "11          Bryan Singer  \n",
       "12          Marc Forster  \n",
       "13        Gore Verbinski  \n",
       "14        Gore Verbinski  \n",
       "15           Zack Snyder  \n",
       "16        Andrew Adamson  \n",
       "17           Joss Whedon  \n",
       "18          Rob Marshall  \n",
       "19      Barry Sonnenfeld  \n",
       "20         Peter Jackson  \n",
       "21             Marc Webb  \n",
       "22          Ridley Scott  \n",
       "23         Peter Jackson  \n",
       "24           Chris Weitz  \n",
       "25         Peter Jackson  \n",
       "26         James Cameron  \n",
       "27         Anthony Russo  \n",
       "28            Peter Berg  \n",
       "29       Colin Trevorrow  \n",
       "...                  ...  \n",
       "4886          Eric Eason  \n",
       "4887            Uwe Boll  \n",
       "4888   Richard Linklater  \n",
       "4889     Joseph Mazzella  \n",
       "4890        Travis Legge  \n",
       "4891       Alex Kendrick  \n",
       "4892       Marcus Nispel  \n",
       "4893     Brandon Landers  \n",
       "4894         Jay Duplass  \n",
       "4895          Jim Chuchu  \n",
       "4896          Daryl Wein  \n",
       "4897         Jason Trost  \n",
       "4898         John Waters  \n",
       "4899     Olivier Assayas  \n",
       "4900        Jafar Panahi  \n",
       "4901       Ivan Kavanagh  \n",
       "4902    Kiyoshi Kurosawa  \n",
       "4903        Tadeo Garcia  \n",
       "4904  Thomas L. Phillips  \n",
       "4905     Ash Baron-Cohen  \n",
       "4906       Shane Carruth  \n",
       "4907    Neill Dela Llana  \n",
       "4908    Robert Rodriguez  \n",
       "4909     Anthony Vallone  \n",
       "4910        Edward Burns  \n",
       "4911         Scott Smith  \n",
       "4912                 NaN  \n",
       "4913    Benjamin Roberds  \n",
       "4914         Daniel Hsia  \n",
       "4915            Jon Gunn  \n",
       "\n",
       "[4916 rows x 3 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie[ ['movie_title', 'language', 'director_name'] ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Le résultat est un dataframe avec 3 colonnes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(movie[ ['movie_title', 'language', 'director_name'] ])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Selectioner une ligne d'un dataframe avec iloc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous souhaitons sélectionner une ligne particulière de notre dataframe. Les lignes sont identifiés grâce à leur index. Il nous suffit de connaitre l'index qui correspond à notre ligne.\n",
    "\n",
    "Sélectionnons la 5ème ligne du dataframe. Puisque les index commencent par 0, la 5ème ligne a l'index 4:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "color                                                                      NaN\n",
       "director_name                                                      Doug Walker\n",
       "num_critic_for_reviews                                                     NaN\n",
       "duration                                                                   NaN\n",
       "director_facebook_likes                                                    131\n",
       "actor_3_facebook_likes                                                     NaN\n",
       "actor_2_name                                                        Rob Walker\n",
       "actor_1_facebook_likes                                                     131\n",
       "gross                                                                      NaN\n",
       "genres                                                             Documentary\n",
       "actor_1_name                                                       Doug Walker\n",
       "movie_title                         Star Wars: Episode VII - The Force Awakens\n",
       "num_voted_users                                                              8\n",
       "cast_total_facebook_likes                                                  143\n",
       "actor_3_name                                                               NaN\n",
       "facenumber_in_poster                                                         0\n",
       "plot_keywords                                                              NaN\n",
       "movie_imdb_link              http://www.imdb.com/title/tt5289954/?ref_=fn_t...\n",
       "num_user_for_reviews                                                       NaN\n",
       "language                                                                   NaN\n",
       "country                                                                    NaN\n",
       "content_rating                                                             NaN\n",
       "budget                                                                     NaN\n",
       "title_year                                                                 NaN\n",
       "actor_2_facebook_likes                                                      12\n",
       "imdb_score                                                                 7.1\n",
       "aspect_ratio                                                               NaN\n",
       "movie_facebook_likes                                                         0\n",
       "Name: 4, dtype: object"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.iloc[4]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous avons à gauche le nom des colonnes et à droite la valeur correspondante pour la 5ème ligne. Le tout est une Série."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(movie.iloc[4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sélectionner plusieurs lignes d'un DataFrame"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Si vous avez suivi la partie Numpy de ce bootcamp, cette partie sera facile à comprendre.\n",
    "\n",
    "Nous souhaitons sélectionner les lignes dont les index sont 4, 5, 6, 7."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>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>...</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>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Doug Walker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rob Walker</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Documentary</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>12.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Color</td>\n",
       "      <td>Andrew Stanton</td>\n",
       "      <td>462.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>475.0</td>\n",
       "      <td>530.0</td>\n",
       "      <td>Samantha Morton</td>\n",
       "      <td>640.0</td>\n",
       "      <td>73058679.0</td>\n",
       "      <td>Action|Adventure|Sci-Fi</td>\n",
       "      <td>...</td>\n",
       "      <td>738.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>263700000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>632.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.35</td>\n",
       "      <td>24000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Color</td>\n",
       "      <td>Sam Raimi</td>\n",
       "      <td>392.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>James Franco</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>336530303.0</td>\n",
       "      <td>Action|Adventure|Romance</td>\n",
       "      <td>...</td>\n",
       "      <td>1902.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>258000000.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>6.2</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Color</td>\n",
       "      <td>Nathan Greno</td>\n",
       "      <td>324.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>284.0</td>\n",
       "      <td>Donna Murphy</td>\n",
       "      <td>799.0</td>\n",
       "      <td>200807262.0</td>\n",
       "      <td>Adventure|Animation|Comedy|Family|Fantasy|Musi...</td>\n",
       "      <td>...</td>\n",
       "      <td>387.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG</td>\n",
       "      <td>260000000.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>553.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>1.85</td>\n",
       "      <td>29000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   color   director_name  num_critic_for_reviews  duration  \\\n",
       "4    NaN     Doug Walker                     NaN       NaN   \n",
       "5  Color  Andrew Stanton                   462.0     132.0   \n",
       "6  Color       Sam Raimi                   392.0     156.0   \n",
       "7  Color    Nathan Greno                   324.0     100.0   \n",
       "\n",
       "   director_facebook_likes  actor_3_facebook_likes     actor_2_name  \\\n",
       "4                    131.0                     NaN       Rob Walker   \n",
       "5                    475.0                   530.0  Samantha Morton   \n",
       "6                      0.0                  4000.0     James Franco   \n",
       "7                     15.0                   284.0     Donna Murphy   \n",
       "\n",
       "   actor_1_facebook_likes        gross  \\\n",
       "4                   131.0          NaN   \n",
       "5                   640.0   73058679.0   \n",
       "6                 24000.0  336530303.0   \n",
       "7                   799.0  200807262.0   \n",
       "\n",
       "                                              genres  ...  \\\n",
       "4                                        Documentary  ...   \n",
       "5                            Action|Adventure|Sci-Fi  ...   \n",
       "6                           Action|Adventure|Romance  ...   \n",
       "7  Adventure|Animation|Comedy|Family|Fantasy|Musi...  ...   \n",
       "\n",
       "  num_user_for_reviews language  country  content_rating       budget  \\\n",
       "4                  NaN      NaN      NaN             NaN          NaN   \n",
       "5                738.0  English      USA           PG-13  263700000.0   \n",
       "6               1902.0  English      USA           PG-13  258000000.0   \n",
       "7                387.0  English      USA              PG  260000000.0   \n",
       "\n",
       "   title_year actor_2_facebook_likes imdb_score  aspect_ratio  \\\n",
       "4         NaN                   12.0        7.1           NaN   \n",
       "5      2012.0                  632.0        6.6          2.35   \n",
       "6      2007.0                11000.0        6.2          2.35   \n",
       "7      2010.0                  553.0        7.8          1.85   \n",
       "\n",
       "  movie_facebook_likes  \n",
       "4                    0  \n",
       "5                24000  \n",
       "6                    0  \n",
       "7                29000  \n",
       "\n",
       "[4 rows x 28 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.iloc[4:8]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Séléctionnons les lignes dont les index sont 4, 45, 89, 12: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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>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>...</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>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Doug Walker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rob Walker</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Documentary</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>12.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Color</td>\n",
       "      <td>James Wan</td>\n",
       "      <td>424.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>Paul Walker</td>\n",
       "      <td>26000.0</td>\n",
       "      <td>350034110.0</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>657.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>190000000.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>2.35</td>\n",
       "      <td>94000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Color</td>\n",
       "      <td>Don Hall</td>\n",
       "      <td>384.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>562.0</td>\n",
       "      <td>Daniel Henney</td>\n",
       "      <td>756.0</td>\n",
       "      <td>222487711.0</td>\n",
       "      <td>Action|Adventure|Animation|Comedy|Drama|Family...</td>\n",
       "      <td>...</td>\n",
       "      <td>433.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG</td>\n",
       "      <td>165000000.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>719.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>2.39</td>\n",
       "      <td>41000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Color</td>\n",
       "      <td>Marc Forster</td>\n",
       "      <td>403.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>395.0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>Mathieu Amalric</td>\n",
       "      <td>451.0</td>\n",
       "      <td>168368427.0</td>\n",
       "      <td>Action|Adventure</td>\n",
       "      <td>...</td>\n",
       "      <td>1243.0</td>\n",
       "      <td>English</td>\n",
       "      <td>UK</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>200000000.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>412.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    color director_name  num_critic_for_reviews  duration  \\\n",
       "4     NaN   Doug Walker                     NaN       NaN   \n",
       "45  Color     James Wan                   424.0     140.0   \n",
       "89  Color      Don Hall                   384.0     102.0   \n",
       "12  Color  Marc Forster                   403.0     106.0   \n",
       "\n",
       "    director_facebook_likes  actor_3_facebook_likes     actor_2_name  \\\n",
       "4                     131.0                     NaN       Rob Walker   \n",
       "45                      0.0                 14000.0      Paul Walker   \n",
       "89                     38.0                   562.0    Daniel Henney   \n",
       "12                    395.0                   393.0  Mathieu Amalric   \n",
       "\n",
       "    actor_1_facebook_likes        gross  \\\n",
       "4                    131.0          NaN   \n",
       "45                 26000.0  350034110.0   \n",
       "89                   756.0  222487711.0   \n",
       "12                   451.0  168368427.0   \n",
       "\n",
       "                                               genres  ...  \\\n",
       "4                                         Documentary  ...   \n",
       "45                              Action|Crime|Thriller  ...   \n",
       "89  Action|Adventure|Animation|Comedy|Drama|Family...  ...   \n",
       "12                                   Action|Adventure  ...   \n",
       "\n",
       "   num_user_for_reviews language  country  content_rating       budget  \\\n",
       "4                   NaN      NaN      NaN             NaN          NaN   \n",
       "45                657.0  English      USA           PG-13  190000000.0   \n",
       "89                433.0  English      USA              PG  165000000.0   \n",
       "12               1243.0  English       UK           PG-13  200000000.0   \n",
       "\n",
       "    title_year actor_2_facebook_likes imdb_score  aspect_ratio  \\\n",
       "4          NaN                   12.0        7.1           NaN   \n",
       "45      2015.0                23000.0        7.2          2.35   \n",
       "89      2014.0                  719.0        7.9          2.39   \n",
       "12      2008.0                  412.0        6.7          2.35   \n",
       "\n",
       "   movie_facebook_likes  \n",
       "4                     0  \n",
       "45                94000  \n",
       "89                41000  \n",
       "12                    0  \n",
       "\n",
       "[4 rows x 28 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.iloc[ [4, 45, 89, 12] ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Si vous n'avez pas compris cette partie, je vous recommande de relire la sélection de lignes et colonnes dans un tableau Numpy dans les notebooks 02_01 et 02_02."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Séléctionner des lignes et des colonnes avec iloc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous souhaitons sélectionner les lignes 4 à 7, et les colonnes color et director_name. **iloc** permet la séléction avec les index ou plutôt position. NOus avons déjà ceux des lignes. Ceux des colonnes color et director_name sont 0 et 1. Nous pouvons donc faire notre sélection:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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>color</th>\n",
       "      <th>director_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Doug Walker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Color</td>\n",
       "      <td>Andrew Stanton</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Color</td>\n",
       "      <td>Sam Raimi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Color</td>\n",
       "      <td>Nathan Greno</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   color   director_name\n",
       "4    NaN     Doug Walker\n",
       "5  Color  Andrew Stanton\n",
       "6  Color       Sam Raimi\n",
       "7  Color    Nathan Greno"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.iloc[4:8, 0:2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reprenons le même exercice mais cette fois-ci avec les colonnes 3, 8, 6, 4:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>duration</th>\n",
       "      <th>gross</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>director_facebook_likes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rob Walker</td>\n",
       "      <td>131.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>132.0</td>\n",
       "      <td>73058679.0</td>\n",
       "      <td>Samantha Morton</td>\n",
       "      <td>475.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>156.0</td>\n",
       "      <td>336530303.0</td>\n",
       "      <td>James Franco</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>100.0</td>\n",
       "      <td>200807262.0</td>\n",
       "      <td>Donna Murphy</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   duration        gross     actor_2_name  director_facebook_likes\n",
       "4       NaN          NaN       Rob Walker                    131.0\n",
       "5     132.0   73058679.0  Samantha Morton                    475.0\n",
       "6     156.0  336530303.0     James Franco                      0.0\n",
       "7     100.0  200807262.0     Donna Murphy                     15.0"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.iloc[4:8, [3,8,6,4] ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Séléctionner des lignes et colonnes avec loc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Séléctionner avec les index c'est bien mais je préfère utiliser le nom des colonnes. C'est possible avec loc. loc permet de sélectionner avec le nom des lignes et des colonnes. Ici le nom de nos lignes est aussi l'index, on peut donc garder les nombres mais pour les colonnes nous utiliserons le nom:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reproduisons ceci mais avec loc : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "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>color</th>\n",
       "      <th>director_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Doug Walker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Color</td>\n",
       "      <td>Andrew Stanton</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Color</td>\n",
       "      <td>Sam Raimi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Color</td>\n",
       "      <td>Nathan Greno</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   color   director_name\n",
       "4    NaN     Doug Walker\n",
       "5  Color  Andrew Stanton\n",
       "6  Color       Sam Raimi\n",
       "7  Color    Nathan Greno"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.iloc[4:8, 0:2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On aura donc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['color', 'director_name', 'num_critic_for_reviews', 'duration',\n",
       "       'director_facebook_likes', 'actor_3_facebook_likes', 'actor_2_name',\n",
       "       'actor_1_facebook_likes', 'gross', 'genres', 'actor_1_name',\n",
       "       'movie_title', 'num_voted_users', 'cast_total_facebook_likes',\n",
       "       'actor_3_name', 'facenumber_in_poster', 'plot_keywords',\n",
       "       'movie_imdb_link', 'num_user_for_reviews', 'language', 'country',\n",
       "       'content_rating', 'budget', 'title_year', 'actor_2_facebook_likes',\n",
       "       'imdb_score', 'aspect_ratio', 'movie_facebook_likes'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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>color</th>\n",
       "      <th>director_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Doug Walker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Color</td>\n",
       "      <td>Andrew Stanton</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Color</td>\n",
       "      <td>Sam Raimi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Color</td>\n",
       "      <td>Nathan Greno</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Color</td>\n",
       "      <td>Joss Whedon</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   color   director_name\n",
       "4    NaN     Doug Walker\n",
       "5  Color  Andrew Stanton\n",
       "6  Color       Sam Raimi\n",
       "7  Color    Nathan Greno\n",
       "8  Color     Joss Whedon"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.loc[4:8, \"color\":\"director_name\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "L'équivalent de ceci : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "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>duration</th>\n",
       "      <th>gross</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>director_facebook_likes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rob Walker</td>\n",
       "      <td>131.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>132.0</td>\n",
       "      <td>73058679.0</td>\n",
       "      <td>Samantha Morton</td>\n",
       "      <td>475.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>156.0</td>\n",
       "      <td>336530303.0</td>\n",
       "      <td>James Franco</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>100.0</td>\n",
       "      <td>200807262.0</td>\n",
       "      <td>Donna Murphy</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   duration        gross     actor_2_name  director_facebook_likes\n",
       "4       NaN          NaN       Rob Walker                    131.0\n",
       "5     132.0   73058679.0  Samantha Morton                    475.0\n",
       "6     156.0  336530303.0     James Franco                      0.0\n",
       "7     100.0  200807262.0     Donna Murphy                     15.0"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.iloc[4:8, [3,8,6,4] ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "est : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['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"
     ]
    }
   ],
   "source": [
    "colonnes = movie.columns.tolist()\n",
    "print(colonnes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['duration', 'gross', 'actor_2_name', 'director_facebook_likes'],\n",
       "      dtype='<U25')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "np.array(colonnes)[[3,8,6,4]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "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>duration</th>\n",
       "      <th>gross</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>director_facebook_likes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rob Walker</td>\n",
       "      <td>131.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>132.0</td>\n",
       "      <td>73058679.0</td>\n",
       "      <td>Samantha Morton</td>\n",
       "      <td>475.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>156.0</td>\n",
       "      <td>336530303.0</td>\n",
       "      <td>James Franco</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>100.0</td>\n",
       "      <td>200807262.0</td>\n",
       "      <td>Donna Murphy</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>141.0</td>\n",
       "      <td>458991599.0</td>\n",
       "      <td>Robert Downey Jr.</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   duration        gross       actor_2_name  director_facebook_likes\n",
       "4       NaN          NaN         Rob Walker                    131.0\n",
       "5     132.0   73058679.0    Samantha Morton                    475.0\n",
       "6     156.0  336530303.0       James Franco                      0.0\n",
       "7     100.0  200807262.0       Donna Murphy                     15.0\n",
       "8     141.0  458991599.0  Robert Downey Jr.                      0.0"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.loc[4:8, ['duration', 'gross', 'actor_2_name', 'director_facebook_likes'] ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Filtrer les lignes d'un dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Savoir filter les lignes d'un dataframe est une compétence importante quand on manipule des données tabulaires. Quelles sont les questions qui peuvent nous amener à filtrer les lignes d'un dataframe.\n",
    "\n",
    "* Sélectionne les lignes (les films) dont le directeur est \"Doug Walker\" afin de plus tard calculer la note moyenne des films qu'il a dirigé\n",
    "\n",
    "* Sélectionne les films francais dont la durée est inférieur à 1 heure \n",
    "\n",
    "* Sélectionne les films sortis avant 2005 ou les films dont le score est inférieur à 5.\n",
    "\n",
    "Vous l'aurez compris, il faudra utiliser des conditions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Les films dont le directeur est \"Doug Walker\" afin de plus tard calculer la note moyenne des films qu'il a dirigé"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       False\n",
       "1       False\n",
       "2       False\n",
       "3       False\n",
       "4        True\n",
       "5       False\n",
       "6       False\n",
       "7       False\n",
       "8       False\n",
       "9       False\n",
       "10      False\n",
       "11      False\n",
       "12      False\n",
       "13      False\n",
       "14      False\n",
       "15      False\n",
       "16      False\n",
       "17      False\n",
       "18      False\n",
       "19      False\n",
       "20      False\n",
       "21      False\n",
       "22      False\n",
       "23      False\n",
       "24      False\n",
       "25      False\n",
       "26      False\n",
       "27      False\n",
       "28      False\n",
       "29      False\n",
       "        ...  \n",
       "4886    False\n",
       "4887    False\n",
       "4888    False\n",
       "4889    False\n",
       "4890    False\n",
       "4891    False\n",
       "4892    False\n",
       "4893    False\n",
       "4894    False\n",
       "4895    False\n",
       "4896    False\n",
       "4897    False\n",
       "4898    False\n",
       "4899    False\n",
       "4900    False\n",
       "4901    False\n",
       "4902    False\n",
       "4903    False\n",
       "4904    False\n",
       "4905    False\n",
       "4906    False\n",
       "4907    False\n",
       "4908    False\n",
       "4909    False\n",
       "4910    False\n",
       "4911    False\n",
       "4912    False\n",
       "4913    False\n",
       "4914    False\n",
       "4915    False\n",
       "Name: director_name, Length: 4916, dtype: bool"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie['director_name'] == \"Doug Walker\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cette condition nous retourne True quand la condition est vraie pour la ligne et False quand la condition est fausse.\n",
    "\n",
    "Si nous utilisons cette condition pour indexer le dataframe, il nous retourne uniquement les lignes pour lesquelles on a True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>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>...</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>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Doug Walker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rob Walker</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Documentary</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>12.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  color director_name  num_critic_for_reviews  duration  \\\n",
       "4   NaN   Doug Walker                     NaN       NaN   \n",
       "\n",
       "   director_facebook_likes  actor_3_facebook_likes actor_2_name  \\\n",
       "4                    131.0                     NaN   Rob Walker   \n",
       "\n",
       "   actor_1_facebook_likes  gross       genres  ... num_user_for_reviews  \\\n",
       "4                   131.0    NaN  Documentary  ...                  NaN   \n",
       "\n",
       "  language  country  content_rating budget  title_year actor_2_facebook_likes  \\\n",
       "4      NaN      NaN             NaN    NaN         NaN                   12.0   \n",
       "\n",
       "  imdb_score  aspect_ratio movie_facebook_likes  \n",
       "4        7.1           NaN                    0  \n",
       "\n",
       "[1 rows x 28 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "condition = movie['director_name'] == \"Doug Walker\"\n",
    "movie[condition]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Et voilà, on a apparemment un seul film dont Doug Walker est le directeur.\n",
    "\n",
    "Parfois notre condition peut être composée de plusieurs autres conditions: \n",
    "\n",
    "Sélectionne les films francais dont la durée est inférieur à 1 heure. Ici, nous avons 2 conditions:\n",
    "* langue == francais \n",
    "* duree < 1h"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "cond1 = movie['language'] == \"French\"\n",
    "cond2 = movie['duration'] < 60"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vous serez tenté de faire ```python cond1 and cond2``` mais non. Avec Pandas **and** devient **&** et **or** devient **|**. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-15-4f3b9a6fd508>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcond1\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mcond2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/miniconda3/envs/ds/lib/python3.7/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m__nonzero__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1476\u001b[0m         raise ValueError(\"The truth value of a {0} is ambiguous. \"\n\u001b[1;32m   1477\u001b[0m                          \u001b[0;34m\"Use a.empty, a.bool(), a.item(), a.any() or a.all().\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1478\u001b[0;31m                          .format(self.__class__.__name__))\n\u001b[0m\u001b[1;32m   1479\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1480\u001b[0m     \u001b[0m__bool__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m__nonzero__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()."
     ]
    }
   ],
   "source": [
    "cond1 and cond2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       False\n",
       "1       False\n",
       "2       False\n",
       "3       False\n",
       "4       False\n",
       "5       False\n",
       "6       False\n",
       "7       False\n",
       "8       False\n",
       "9       False\n",
       "10      False\n",
       "11      False\n",
       "12      False\n",
       "13      False\n",
       "14      False\n",
       "15      False\n",
       "16      False\n",
       "17      False\n",
       "18      False\n",
       "19      False\n",
       "20      False\n",
       "21      False\n",
       "22      False\n",
       "23      False\n",
       "24      False\n",
       "25      False\n",
       "26      False\n",
       "27      False\n",
       "28      False\n",
       "29      False\n",
       "        ...  \n",
       "4886    False\n",
       "4887    False\n",
       "4888    False\n",
       "4889    False\n",
       "4890    False\n",
       "4891    False\n",
       "4892    False\n",
       "4893    False\n",
       "4894    False\n",
       "4895    False\n",
       "4896    False\n",
       "4897    False\n",
       "4898    False\n",
       "4899    False\n",
       "4900    False\n",
       "4901    False\n",
       "4902    False\n",
       "4903    False\n",
       "4904    False\n",
       "4905    False\n",
       "4906    False\n",
       "4907    False\n",
       "4908    False\n",
       "4909    False\n",
       "4910    False\n",
       "4911    False\n",
       "4912    False\n",
       "4913    False\n",
       "4914    False\n",
       "4915    False\n",
       "Length: 4916, dtype: bool"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cond1 & cond2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       178.0\n",
       "1       169.0\n",
       "2       148.0\n",
       "3       164.0\n",
       "4         NaN\n",
       "5       132.0\n",
       "6       156.0\n",
       "7       100.0\n",
       "8       141.0\n",
       "9       153.0\n",
       "10      183.0\n",
       "11      169.0\n",
       "12      106.0\n",
       "13      151.0\n",
       "14      150.0\n",
       "15      143.0\n",
       "16      150.0\n",
       "17      173.0\n",
       "18      136.0\n",
       "19      106.0\n",
       "20      164.0\n",
       "21      153.0\n",
       "22      156.0\n",
       "23      186.0\n",
       "24      113.0\n",
       "25      201.0\n",
       "26      194.0\n",
       "27      147.0\n",
       "28      131.0\n",
       "29      124.0\n",
       "        ...  \n",
       "4886     79.0\n",
       "4887     80.0\n",
       "4888    100.0\n",
       "4889     90.0\n",
       "4890     90.0\n",
       "4891    120.0\n",
       "4892     91.0\n",
       "4893    143.0\n",
       "4894     85.0\n",
       "4895     60.0\n",
       "4896     88.0\n",
       "4897     78.0\n",
       "4898    108.0\n",
       "4899    110.0\n",
       "4900     90.0\n",
       "4901     83.0\n",
       "4902    111.0\n",
       "4903     84.0\n",
       "4904     82.0\n",
       "4905     98.0\n",
       "4906     77.0\n",
       "4907     80.0\n",
       "4908     81.0\n",
       "4909     84.0\n",
       "4910     95.0\n",
       "4911     87.0\n",
       "4912     43.0\n",
       "4913     76.0\n",
       "4914    100.0\n",
       "4915     90.0\n",
       "Name: duration, Length: 4916, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie['duration']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On peut maintenant indexer notre dataframe avec ces deux conditions : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>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>...</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>1123</th>\n",
       "      <td>Color</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>114.0</td>\n",
       "      <td>Clotilde Hesme</td>\n",
       "      <td>164.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Drama|Fantasy|Horror|Mystery</td>\n",
       "      <td>...</td>\n",
       "      <td>47.0</td>\n",
       "      <td>French</td>\n",
       "      <td>France</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>16.00</td>\n",
       "      <td>17000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4791</th>\n",
       "      <td>Color</td>\n",
       "      <td>Chris Marker</td>\n",
       "      <td>16.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Bertrand Cantat</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>French</td>\n",
       "      <td>France</td>\n",
       "      <td>NaN</td>\n",
       "      <td>150000.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>1.37</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      color director_name  num_critic_for_reviews  duration  \\\n",
       "1123  Color           NaN                    23.0      52.0   \n",
       "4791  Color  Chris Marker                    16.0      59.0   \n",
       "\n",
       "      director_facebook_likes  actor_3_facebook_likes     actor_2_name  \\\n",
       "1123                      NaN                   114.0   Clotilde Hesme   \n",
       "4791                    121.0                     0.0  Bertrand Cantat   \n",
       "\n",
       "      actor_1_facebook_likes  gross                        genres  ...  \\\n",
       "1123                   164.0    NaN  Drama|Fantasy|Horror|Mystery  ...   \n",
       "4791                    27.0    NaN                   Documentary  ...   \n",
       "\n",
       "     num_user_for_reviews language  country  content_rating    budget  \\\n",
       "1123                 47.0   French   France           TV-MA       NaN   \n",
       "4791                  4.0   French   France             NaN  150000.0   \n",
       "\n",
       "      title_year actor_2_facebook_likes imdb_score  aspect_ratio  \\\n",
       "1123         NaN                  116.0        8.3         16.00   \n",
       "4791      2004.0                    0.0        7.4          1.37   \n",
       "\n",
       "     movie_facebook_likes  \n",
       "1123                17000  \n",
       "4791                   44  \n",
       "\n",
       "[2 rows x 28 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie[cond1 & cond2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comment Créer un Dataframe ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 315
    },
    "id": "ErSGUgnYIHeb",
    "outputId": "d203d2fc-bda1-4c1c-e867-f2712783f7a0"
   },
   "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>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_1_facebook_likes</th>\n",
       "      <th>gross</th>\n",
       "      <th>num_voted_users</th>\n",
       "      <th>cast_total_facebook_likes</th>\n",
       "      <th>facenumber_in_poster</th>\n",
       "      <th>num_user_for_reviews</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>count</th>\n",
       "      <td>4867.000000</td>\n",
       "      <td>4901.000000</td>\n",
       "      <td>4814.000000</td>\n",
       "      <td>4893.000000</td>\n",
       "      <td>4909.000000</td>\n",
       "      <td>4.054000e+03</td>\n",
       "      <td>4.916000e+03</td>\n",
       "      <td>4916.000000</td>\n",
       "      <td>4903.000000</td>\n",
       "      <td>4895.000000</td>\n",
       "      <td>4.432000e+03</td>\n",
       "      <td>4810.000000</td>\n",
       "      <td>4903.000000</td>\n",
       "      <td>4916.000000</td>\n",
       "      <td>4590.000000</td>\n",
       "      <td>4916.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>137.988905</td>\n",
       "      <td>107.090798</td>\n",
       "      <td>691.014541</td>\n",
       "      <td>631.276313</td>\n",
       "      <td>6494.488491</td>\n",
       "      <td>4.764451e+07</td>\n",
       "      <td>8.264492e+04</td>\n",
       "      <td>9579.815907</td>\n",
       "      <td>1.377320</td>\n",
       "      <td>267.668846</td>\n",
       "      <td>3.654749e+07</td>\n",
       "      <td>2002.447609</td>\n",
       "      <td>1621.923516</td>\n",
       "      <td>6.437429</td>\n",
       "      <td>2.222349</td>\n",
       "      <td>7348.294142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>120.239379</td>\n",
       "      <td>25.286015</td>\n",
       "      <td>2832.954125</td>\n",
       "      <td>1625.874802</td>\n",
       "      <td>15106.986884</td>\n",
       "      <td>6.737255e+07</td>\n",
       "      <td>1.383222e+05</td>\n",
       "      <td>18164.316990</td>\n",
       "      <td>2.023826</td>\n",
       "      <td>372.934839</td>\n",
       "      <td>1.002427e+08</td>\n",
       "      <td>12.453977</td>\n",
       "      <td>4011.299523</td>\n",
       "      <td>1.127802</td>\n",
       "      <td>1.402940</td>\n",
       "      <td>19206.016458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.620000e+02</td>\n",
       "      <td>5.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.180000e+02</td>\n",
       "      <td>1916.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>1.180000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>49.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>132.000000</td>\n",
       "      <td>607.000000</td>\n",
       "      <td>5.019656e+06</td>\n",
       "      <td>8.361750e+03</td>\n",
       "      <td>1394.750000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>6.000000e+06</td>\n",
       "      <td>1999.000000</td>\n",
       "      <td>277.000000</td>\n",
       "      <td>5.800000</td>\n",
       "      <td>1.850000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>108.000000</td>\n",
       "      <td>103.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>366.000000</td>\n",
       "      <td>982.000000</td>\n",
       "      <td>2.504396e+07</td>\n",
       "      <td>3.313250e+04</td>\n",
       "      <td>3049.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>153.000000</td>\n",
       "      <td>1.985000e+07</td>\n",
       "      <td>2005.000000</td>\n",
       "      <td>593.000000</td>\n",
       "      <td>6.600000</td>\n",
       "      <td>2.350000</td>\n",
       "      <td>159.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>191.000000</td>\n",
       "      <td>118.000000</td>\n",
       "      <td>189.750000</td>\n",
       "      <td>633.000000</td>\n",
       "      <td>11000.000000</td>\n",
       "      <td>6.110841e+07</td>\n",
       "      <td>9.377275e+04</td>\n",
       "      <td>13616.750000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>320.500000</td>\n",
       "      <td>4.300000e+07</td>\n",
       "      <td>2011.000000</td>\n",
       "      <td>912.000000</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>2.350000</td>\n",
       "      <td>2000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>813.000000</td>\n",
       "      <td>511.000000</td>\n",
       "      <td>23000.000000</td>\n",
       "      <td>23000.000000</td>\n",
       "      <td>640000.000000</td>\n",
       "      <td>7.605058e+08</td>\n",
       "      <td>1.689764e+06</td>\n",
       "      <td>656730.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>5060.000000</td>\n",
       "      <td>4.200000e+09</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>137000.000000</td>\n",
       "      <td>9.500000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>349000.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       num_critic_for_reviews     duration  director_facebook_likes  \\\n",
       "count             4867.000000  4901.000000              4814.000000   \n",
       "mean               137.988905   107.090798               691.014541   \n",
       "std                120.239379    25.286015              2832.954125   \n",
       "min                  1.000000     7.000000                 0.000000   \n",
       "25%                 49.000000    93.000000                 7.000000   \n",
       "50%                108.000000   103.000000                48.000000   \n",
       "75%                191.000000   118.000000               189.750000   \n",
       "max                813.000000   511.000000             23000.000000   \n",
       "\n",
       "       actor_3_facebook_likes  actor_1_facebook_likes         gross  \\\n",
       "count             4893.000000             4909.000000  4.054000e+03   \n",
       "mean               631.276313             6494.488491  4.764451e+07   \n",
       "std               1625.874802            15106.986884  6.737255e+07   \n",
       "min                  0.000000                0.000000  1.620000e+02   \n",
       "25%                132.000000              607.000000  5.019656e+06   \n",
       "50%                366.000000              982.000000  2.504396e+07   \n",
       "75%                633.000000            11000.000000  6.110841e+07   \n",
       "max              23000.000000           640000.000000  7.605058e+08   \n",
       "\n",
       "       num_voted_users  cast_total_facebook_likes  facenumber_in_poster  \\\n",
       "count     4.916000e+03                4916.000000           4903.000000   \n",
       "mean      8.264492e+04                9579.815907              1.377320   \n",
       "std       1.383222e+05               18164.316990              2.023826   \n",
       "min       5.000000e+00                   0.000000              0.000000   \n",
       "25%       8.361750e+03                1394.750000              0.000000   \n",
       "50%       3.313250e+04                3049.000000              1.000000   \n",
       "75%       9.377275e+04               13616.750000              2.000000   \n",
       "max       1.689764e+06              656730.000000             43.000000   \n",
       "\n",
       "       num_user_for_reviews        budget   title_year  \\\n",
       "count           4895.000000  4.432000e+03  4810.000000   \n",
       "mean             267.668846  3.654749e+07  2002.447609   \n",
       "std              372.934839  1.002427e+08    12.453977   \n",
       "min                1.000000  2.180000e+02  1916.000000   \n",
       "25%               64.000000  6.000000e+06  1999.000000   \n",
       "50%              153.000000  1.985000e+07  2005.000000   \n",
       "75%              320.500000  4.300000e+07  2011.000000   \n",
       "max             5060.000000  4.200000e+09  2016.000000   \n",
       "\n",
       "       actor_2_facebook_likes   imdb_score  aspect_ratio  movie_facebook_likes  \n",
       "count             4903.000000  4916.000000   4590.000000           4916.000000  \n",
       "mean              1621.923516     6.437429      2.222349           7348.294142  \n",
       "std               4011.299523     1.127802      1.402940          19206.016458  \n",
       "min                  0.000000     1.600000      1.180000              0.000000  \n",
       "25%                277.000000     5.800000      1.850000              0.000000  \n",
       "50%                593.000000     6.600000      2.350000            159.000000  \n",
       "75%                912.000000     7.200000      2.350000           2000.000000  \n",
       "max             137000.000000     9.500000     16.000000         349000.000000  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "V_kRpliaIQxg",
    "outputId": "a57ea9d7-643c-4040-8c85-5fe5270d3159"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count                 4814\n",
       "unique                2397\n",
       "top       Steven Spielberg\n",
       "freq                    26\n",
       "Name: director_name, dtype: object"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie['director_name'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "qv0LgJIQImuR"
   },
   "source": [
    "Dans notre dataset, nous avons, 2397 directeurs uniques avec Steven Spielberg étant celui avec le plus de film qui est égale à 26"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "06FNSqRzIg7z",
    "outputId": "b1afbb65-06dd-4b8a-9317-2938340fa6cf"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Steven Spielberg             26\n",
       "Woody Allen                  22\n",
       "Clint Eastwood               20\n",
       "Martin Scorsese              20\n",
       "Ridley Scott                 16\n",
       "Spike Lee                    16\n",
       "Renny Harlin                 15\n",
       "Steven Soderbergh            15\n",
       "Oliver Stone                 14\n",
       "Tim Burton                   14\n",
       "Barry Levinson               13\n",
       "Robert Zemeckis              13\n",
       "Robert Rodriguez             13\n",
       "Ron Howard                   13\n",
       "Joel Schumacher              13\n",
       "Michael Bay                  12\n",
       "Tony Scott                   12\n",
       "Brian De Palma               12\n",
       "Kevin Smith                  12\n",
       "Chris Columbus               11\n",
       "Rob Reiner                   11\n",
       "Shawn Levy                   11\n",
       "Sam Raimi                    11\n",
       "Francis Ford Coppola         11\n",
       "Richard Donner               11\n",
       "Richard Linklater            11\n",
       "John Carpenter               10\n",
       "John McTiernan               10\n",
       "Bobby Farrelly               10\n",
       "David Fincher                10\n",
       "                             ..\n",
       "Chris Atkins                  1\n",
       "Brian Baugh                   1\n",
       "Rania Attieh                  1\n",
       "Mike Marvin                   1\n",
       "Fred Savage                   1\n",
       "Paul Bunnell                  1\n",
       "Nicolae Constantin Tanase     1\n",
       "Chao-Bin Su                   1\n",
       "Levan Gabriadze               1\n",
       "François Girard               1\n",
       "Greg Coolidge                 1\n",
       "Matt Jackson                  1\n",
       "Dave Payne                    1\n",
       "Andrew Steggall               1\n",
       "Éric Tessier                  1\n",
       "Michael Spierig               1\n",
       "Dean Israelite                1\n",
       "Alan Cohn                     1\n",
       "Fabián Bielinsky              1\n",
       "Marc F. Adler                 1\n",
       "Henry Hobson                  1\n",
       "Michael Clancy                1\n",
       "Zak Penn                      1\n",
       "Ernest R. Dickerson           1\n",
       "Russell Holt                  1\n",
       "Sam Levinson                  1\n",
       "Travis Romero                 1\n",
       "Scott Smith                   1\n",
       "William Cottrell              1\n",
       "Mary Harron                   1\n",
       "Name: director_name, Length: 2397, dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie['director_name'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ac-AbvLHI7Yu",
    "outputId": "7390f9d6-6514-4871-c127-fe322c6c75eb"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    4867.000000\n",
       "mean      137.988905\n",
       "std       120.239379\n",
       "min         1.000000\n",
       "25%        49.000000\n",
       "50%       108.000000\n",
       "75%       191.000000\n",
       "max       813.000000\n",
       "Name: num_critic_for_reviews, dtype: float64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.num_critic_for_reviews.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "8PtdxYeBJGWs",
    "outputId": "f78220e0-f4c8-4657-e13e-16f3e9767596"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "120.23937916791044"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.num_critic_for_reviews.std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ErEHO-8UJKCf",
    "outputId": "f60b3fc4-c7d7-4e94-e614-b6f066c413c0"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "num_critic_for_reviews       1.379889e+02\n",
       "duration                     1.070908e+02\n",
       "director_facebook_likes      6.910145e+02\n",
       "actor_3_facebook_likes       6.312763e+02\n",
       "actor_1_facebook_likes       6.494488e+03\n",
       "gross                        4.764451e+07\n",
       "num_voted_users              8.264492e+04\n",
       "cast_total_facebook_likes    9.579816e+03\n",
       "facenumber_in_poster         1.377320e+00\n",
       "num_user_for_reviews         2.676688e+02\n",
       "budget                       3.654749e+07\n",
       "title_year                   2.002448e+03\n",
       "actor_2_facebook_likes       1.621924e+03\n",
       "imdb_score                   6.437429e+00\n",
       "aspect_ratio                 2.222349e+00\n",
       "movie_facebook_likes         7.348294e+03\n",
       "dtype: float64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.mean(axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "a-79IKDrJRPk",
    "outputId": "e64e6568-88ca-44c3-c831-41c26354dc55"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "num_critic_for_reviews       6.715920e+05\n",
       "duration                     5.248520e+05\n",
       "director_facebook_likes      3.326544e+06\n",
       "actor_3_facebook_likes       3.088835e+06\n",
       "actor_1_facebook_likes       3.188144e+07\n",
       "gross                        1.931509e+11\n",
       "num_voted_users              4.062825e+08\n",
       "cast_total_facebook_likes    4.709438e+07\n",
       "facenumber_in_poster         6.753000e+03\n",
       "num_user_for_reviews         1.310239e+06\n",
       "budget                       1.619785e+11\n",
       "title_year                   9.631773e+06\n",
       "actor_2_facebook_likes       7.952291e+06\n",
       "imdb_score                   3.164640e+04\n",
       "aspect_ratio                 1.020058e+04\n",
       "movie_facebook_likes         3.612421e+07\n",
       "dtype: float64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.sum(axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "Z7feXDCgJVT0",
    "outputId": "e3166966-c960-4ddd-9a03-161e3443958c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Action|Adventure|Fantasy|Sci-Fi'"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genre_un = movie.genres[0]\n",
    "genre_un"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "vlgJIpIGJZ1z",
    "outputId": "4977e418-be69-47d1-f32b-10509b8a6f3a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Action', 'Adventure', 'Fantasy', 'Sci-Fi']"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genre_un.split('|')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "wkkt7QKtJmt0",
    "outputId": "dafeb594-ce23-48d0-bc59-35abeb039d46"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                         Action|Adventure|Fantasy|Sci-Fi\n",
       "1                                Action|Adventure|Fantasy\n",
       "2                               Action|Adventure|Thriller\n",
       "3                                         Action|Thriller\n",
       "4                                             Documentary\n",
       "5                                 Action|Adventure|Sci-Fi\n",
       "6                                Action|Adventure|Romance\n",
       "7       Adventure|Animation|Comedy|Family|Fantasy|Musi...\n",
       "8                                 Action|Adventure|Sci-Fi\n",
       "9                        Adventure|Family|Fantasy|Mystery\n",
       "10                                Action|Adventure|Sci-Fi\n",
       "11                                Action|Adventure|Sci-Fi\n",
       "12                                       Action|Adventure\n",
       "13                               Action|Adventure|Fantasy\n",
       "14                               Action|Adventure|Western\n",
       "15                        Action|Adventure|Fantasy|Sci-Fi\n",
       "16                        Action|Adventure|Family|Fantasy\n",
       "17                                Action|Adventure|Sci-Fi\n",
       "18                               Action|Adventure|Fantasy\n",
       "19          Action|Adventure|Comedy|Family|Fantasy|Sci-Fi\n",
       "20                                      Adventure|Fantasy\n",
       "21                               Action|Adventure|Fantasy\n",
       "22                         Action|Adventure|Drama|History\n",
       "23                                      Adventure|Fantasy\n",
       "24                               Adventure|Family|Fantasy\n",
       "25                         Action|Adventure|Drama|Romance\n",
       "26                                          Drama|Romance\n",
       "27                                Action|Adventure|Sci-Fi\n",
       "28                       Action|Adventure|Sci-Fi|Thriller\n",
       "29                       Action|Adventure|Sci-Fi|Thriller\n",
       "                              ...                        \n",
       "4886                                         Drama|Family\n",
       "4887                                Action|Crime|Thriller\n",
       "4888                                         Comedy|Drama\n",
       "4889                                 Crime|Drama|Thriller\n",
       "4890                                       Comedy|Romance\n",
       "4891                                                Drama\n",
       "4892                              Horror|Mystery|Thriller\n",
       "4893                                Drama|Horror|Thriller\n",
       "4894                                 Comedy|Drama|Romance\n",
       "4895                                                Drama\n",
       "4896                                              Romance\n",
       "4897                                      Sci-Fi|Thriller\n",
       "4898                                  Comedy|Crime|Horror\n",
       "4899                                  Drama|Music|Romance\n",
       "4900                                                Drama\n",
       "4901                                               Horror\n",
       "4902                        Crime|Horror|Mystery|Thriller\n",
       "4903                                                Drama\n",
       "4904                               Comedy|Horror|Thriller\n",
       "4905                                          Crime|Drama\n",
       "4906                                Drama|Sci-Fi|Thriller\n",
       "4907                                             Thriller\n",
       "4908                  Action|Crime|Drama|Romance|Thriller\n",
       "4909                                          Crime|Drama\n",
       "4910                                         Comedy|Drama\n",
       "4911                                         Comedy|Drama\n",
       "4912                         Crime|Drama|Mystery|Thriller\n",
       "4913                                Drama|Horror|Thriller\n",
       "4914                                 Comedy|Drama|Romance\n",
       "4915                                          Documentary\n",
       "Name: genres, Length: 4916, dtype: object"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie['genres']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "7ar4srFaJrUQ",
    "outputId": "59aa4e96-2b10-4180-df2f-432af9e5b3fe"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['Color', 'James Cameron', 723.0, ..., 7.9, 1.78, 33000],\n",
       "       ['Color', 'Gore Verbinski', 302.0, ..., 7.1, 2.35, 0],\n",
       "       ['Color', 'Sam Mendes', 602.0, ..., 6.8, 2.35, 85000],\n",
       "       ...,\n",
       "       ['Color', 'Benjamin Roberds', 13.0, ..., 6.3, nan, 16],\n",
       "       ['Color', 'Daniel Hsia', 14.0, ..., 6.3, 2.35, 660],\n",
       "       ['Color', 'Jon Gunn', 43.0, ..., 6.6, 1.85, 456]], dtype=object)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jcM-_kCYclaA"
   },
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "id": "I3Z1-ZgyKSL0"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 360
    },
    "id": "lnrQMTcjcdkh",
    "outputId": "832c350b-de69-46f8-9ae1-38facc515e2b"
   },
   "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>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>...</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>...</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",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Color</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "      <td>302.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>563.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Orlando Bloom</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>309404152.0</td>\n",
       "      <td>Action|Adventure|Fantasy</td>\n",
       "      <td>...</td>\n",
       "      <td>1238.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>300000000.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Color</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>602.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>Rory Kinnear</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>200074175.0</td>\n",
       "      <td>Action|Adventure|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>994.0</td>\n",
       "      <td>English</td>\n",
       "      <td>UK</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>245000000.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>2.35</td>\n",
       "      <td>85000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Color</td>\n",
       "      <td>Christopher Nolan</td>\n",
       "      <td>813.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>Christian Bale</td>\n",
       "      <td>27000.0</td>\n",
       "      <td>448130642.0</td>\n",
       "      <td>Action|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>2701.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>2.35</td>\n",
       "      <td>164000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Doug Walker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rob Walker</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Documentary</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>12.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   color      director_name  num_critic_for_reviews  duration  \\\n",
       "0  Color      James Cameron                   723.0     178.0   \n",
       "1  Color     Gore Verbinski                   302.0     169.0   \n",
       "2  Color         Sam Mendes                   602.0     148.0   \n",
       "3  Color  Christopher Nolan                   813.0     164.0   \n",
       "4    NaN        Doug Walker                     NaN       NaN   \n",
       "\n",
       "   director_facebook_likes  actor_3_facebook_likes      actor_2_name  \\\n",
       "0                      0.0                   855.0  Joel David Moore   \n",
       "1                    563.0                  1000.0     Orlando Bloom   \n",
       "2                      0.0                   161.0      Rory Kinnear   \n",
       "3                  22000.0                 23000.0    Christian Bale   \n",
       "4                    131.0                     NaN        Rob Walker   \n",
       "\n",
       "   actor_1_facebook_likes        gross                           genres  ...  \\\n",
       "0                  1000.0  760505847.0  Action|Adventure|Fantasy|Sci-Fi  ...   \n",
       "1                 40000.0  309404152.0         Action|Adventure|Fantasy  ...   \n",
       "2                 11000.0  200074175.0        Action|Adventure|Thriller  ...   \n",
       "3                 27000.0  448130642.0                  Action|Thriller  ...   \n",
       "4                   131.0          NaN                      Documentary  ...   \n",
       "\n",
       "  num_user_for_reviews language  country  content_rating       budget  \\\n",
       "0               3054.0  English      USA           PG-13  237000000.0   \n",
       "1               1238.0  English      USA           PG-13  300000000.0   \n",
       "2                994.0  English       UK           PG-13  245000000.0   \n",
       "3               2701.0  English      USA           PG-13  250000000.0   \n",
       "4                  NaN      NaN      NaN             NaN          NaN   \n",
       "\n",
       "   title_year actor_2_facebook_likes imdb_score  aspect_ratio  \\\n",
       "0      2009.0                  936.0        7.9          1.78   \n",
       "1      2007.0                 5000.0        7.1          2.35   \n",
       "2      2015.0                  393.0        6.8          2.35   \n",
       "3      2012.0                23000.0        8.5          2.35   \n",
       "4         NaN                   12.0        7.1           NaN   \n",
       "\n",
       "  movie_facebook_likes  \n",
       "0                33000  \n",
       "1                    0  \n",
       "2                85000  \n",
       "3               164000  \n",
       "4                    0  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "sIYqsHk0cdsz"
   },
   "source": [
    "# comment creer un dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "id": "5H86BnUWcd03"
   },
   "outputs": [],
   "source": [
    "noms = ['paul', 'radji', 'bob', 'alice']\n",
    "ages = [41, 53, 56, 38]\n",
    "poids = [12, 15.56, 98.25, 14.26]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "id": "VpEn8geqcd7Q"
   },
   "outputs": [],
   "source": [
    "data = {\n",
    "    \"noms\": noms,\n",
    "    \"ages\": ages,\n",
    "    \"poids\": poids\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 172
    },
    "id": "gweDIQmJceAM",
    "outputId": "4921f383-df39-4a38-cdec-1b3d6f2b9c2f"
   },
   "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>noms</th>\n",
       "      <th>ages</th>\n",
       "      <th>poids</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>paul</td>\n",
       "      <td>41</td>\n",
       "      <td>12.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>radji</td>\n",
       "      <td>53</td>\n",
       "      <td>15.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>bob</td>\n",
       "      <td>56</td>\n",
       "      <td>98.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>alice</td>\n",
       "      <td>38</td>\n",
       "      <td>14.26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    noms  ages  poids\n",
       "0   paul    41  12.00\n",
       "1  radji    53  15.56\n",
       "2    bob    56  98.25\n",
       "3  alice    38  14.26"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.DataFrame(data)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 295
    },
    "id": "17Dy1IdOceF_",
    "outputId": "32fe0f4a-bf22-4728-9bf6-74c80fc8f422"
   },
   "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>ages</th>\n",
       "      <th>poids</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>47.000000</td>\n",
       "      <td>35.017500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.831761</td>\n",
       "      <td>42.180653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>38.000000</td>\n",
       "      <td>12.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>40.250000</td>\n",
       "      <td>13.695000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>47.000000</td>\n",
       "      <td>14.910000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>53.750000</td>\n",
       "      <td>36.232500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>56.000000</td>\n",
       "      <td>98.250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ages      poids\n",
       "count   4.000000   4.000000\n",
       "mean   47.000000  35.017500\n",
       "std     8.831761  42.180653\n",
       "min    38.000000  12.000000\n",
       "25%    40.250000  13.695000\n",
       "50%    47.000000  14.910000\n",
       "75%    53.750000  36.232500\n",
       "max    56.000000  98.250000"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "t1BpHydpceMB",
    "outputId": "be048e2c-7985-4582-9c88-60e6fb2dc91d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "noms     paulradjibobalice\n",
       "ages                   188\n",
       "poids               140.07\n",
       "dtype: object"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sum(axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "id": "ZjtSeiWWeN6W"
   },
   "outputs": [],
   "source": [
    "data = [\n",
    "        {\n",
    "            \"nom\": \"paul\",\n",
    "            \"age\": 41,\n",
    "         \"poids\": 12        },\n",
    "        \n",
    "        {\n",
    "            \"nom\": \"radji\",\n",
    "            \"age\": 53,\n",
    "         \"poids\": 15.56        }\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "MBOHfw4zeiNu",
    "outputId": "798aec11-26eb-45a9-a438-02aaca7831de"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'nom': 'paul', 'age': 41, 'poids': 12},\n",
       " {'nom': 'radji', 'age': 53, 'poids': 15.56}]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 110
    },
    "id": "oq_U2GWPekea",
    "outputId": "d26ace36-d49b-4e8a-e1e0-06ab751a8bc3"
   },
   "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>age</th>\n",
       "      <th>nom</th>\n",
       "      <th>poids</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>41</td>\n",
       "      <td>paul</td>\n",
       "      <td>12.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>53</td>\n",
       "      <td>radji</td>\n",
       "      <td>15.56</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age    nom  poids\n",
       "0   41   paul  12.00\n",
       "1   53  radji  15.56"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "LpbNFTjSeDZo"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Jw_nhgMRe4MO",
    "outputId": "e614728d-d178-4f8a-91f0-174682334c49"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['color', 'director_name', 'num_critic_for_reviews', 'duration',\n",
       "       'director_facebook_likes', 'actor_3_facebook_likes', 'actor_2_name',\n",
       "       'actor_1_facebook_likes', 'gross', 'genres', 'actor_1_name',\n",
       "       'movie_title', 'num_voted_users', 'cast_total_facebook_likes',\n",
       "       'actor_3_name', 'facenumber_in_poster', 'plot_keywords',\n",
       "       'movie_imdb_link', 'num_user_for_reviews', 'language', 'country',\n",
       "       'content_rating', 'budget', 'title_year', 'actor_2_facebook_likes',\n",
       "       'imdb_score', 'aspect_ratio', 'movie_facebook_likes'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "id": "milNTCjee4ZH"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DMbDLaCnvday"
   },
   "source": [
    "# Bonus: Importer les données d'un site web avec Pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting lxml\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/30/c0/d0526314971fc661b083ab135747dc68446a3022686da8c16d25fcf6ef07/lxml-4.6.3-cp37-cp37m-manylinux2014_x86_64.whl (6.3MB)\n",
      "\u001b[K     |████████████████████████████████| 6.3MB 2.1MB/s eta 0:00:01\n",
      "\u001b[?25hInstalling collected packages: lxml\n",
      "Successfully installed lxml-4.6.3\n"
     ]
    }
   ],
   "source": [
    "!pip install lxml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "tables = pd.read_html(\"https://fr.wikipedia.org/wiki/Liste_des_pr%C3%A9sidents_des_%C3%89tats-Unis_par_long%C3%A9vit%C3%A9\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.</td>\n",
       "      <td>Préciser le motif de la pose du bandeau.</td>\n",
       "      <td>Précisez le motif de la pose du bandeau en uti...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ou</td>\n",
       "      <td>Créer l'espace de discussion.(cette méthode es...</td>\n",
       "      <td>Créez une section \"Admissibilité\" en page de d...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.</td>\n",
       "      <td>Informer les utilisateurs concernés.</td>\n",
       "      <td>Pensez à avertir le créateur de l'article, par...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    0                                                  1  \\\n",
       "0  1.           Préciser le motif de la pose du bandeau.   \n",
       "1  ou  Créer l'espace de discussion.(cette méthode es...   \n",
       "2  2.               Informer les utilisateurs concernés.   \n",
       "\n",
       "                                                   2  \n",
       "0  Précisez le motif de la pose du bandeau en uti...  \n",
       "1  Créez une section \"Admissibilité\" en page de d...  \n",
       "2  Pensez à avertir le créateur de l'article, par...  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tables[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>No</th>\n",
       "      <th>Président</th>\n",
       "      <th>Né le</th>\n",
       "      <th>Devientprésident le</th>\n",
       "      <th>À l'âge de</th>\n",
       "      <th>Cesse d'êtreprésident le</th>\n",
       "      <th>À la retraitependant</th>\n",
       "      <th>Mort le</th>\n",
       "      <th>Durée de vie</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>George Washington</td>\n",
       "      <td>22 février 1732[1]</td>\n",
       "      <td>30 avril 1789</td>\n",
       "      <td>57 ans, 67 jours</td>\n",
       "      <td>4 mars 1797</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14 décembre 1799</td>\n",
       "      <td>24 767 jours (67 ans, 295 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>John Adams</td>\n",
       "      <td>30 octobre 1735[1]</td>\n",
       "      <td>4 mars 1797</td>\n",
       "      <td>61 ans, 125 jours</td>\n",
       "      <td>4 mars 1801</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4 juillet 1826</td>\n",
       "      <td>33 119 jours (90 ans, 247 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Thomas Jefferson</td>\n",
       "      <td>13 avril 1743[1]</td>\n",
       "      <td>4 mars 1801</td>\n",
       "      <td>57 ans, 325 jours</td>\n",
       "      <td>4 mars 1809</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4 juillet 1826</td>\n",
       "      <td>30 397 jours (83 ans, 82 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>James Madison</td>\n",
       "      <td>16 mars 1751[1]</td>\n",
       "      <td>4 mars 1809</td>\n",
       "      <td>57 ans, 353 jours</td>\n",
       "      <td>4 mars 1817</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28 juin 1836</td>\n",
       "      <td>31 150 jours (85 ans, 104 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>James Monroe</td>\n",
       "      <td>28 avril 1758</td>\n",
       "      <td>4 mars 1817</td>\n",
       "      <td>58 ans, 310 jours</td>\n",
       "      <td>4 mars 1825</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4 juillet 1831</td>\n",
       "      <td>26 729 jours (73 ans, 67 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>John Quincy Adams</td>\n",
       "      <td>11 juillet 1767</td>\n",
       "      <td>4 mars 1825</td>\n",
       "      <td>57 ans, 236 jours</td>\n",
       "      <td>4 mars 1829</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23 février 1848</td>\n",
       "      <td>29 446 jours (80 ans, 227 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>Andrew Jackson</td>\n",
       "      <td>15 mars 1767</td>\n",
       "      <td>4 mars 1829</td>\n",
       "      <td>61 ans, 354 jours</td>\n",
       "      <td>4 mars 1837</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8 juin 1845</td>\n",
       "      <td>28 574 jours (78 ans, 85 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>Martin Van Buren</td>\n",
       "      <td>5 décembre 1782</td>\n",
       "      <td>4 mars 1837</td>\n",
       "      <td>54 ans, 89 jours</td>\n",
       "      <td>4 mars 1841</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24 juillet 1862</td>\n",
       "      <td>29 085 jours (79 ans, 231 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>William Henry Harrison</td>\n",
       "      <td>9 février 1773</td>\n",
       "      <td>4 mars 1841</td>\n",
       "      <td>68 ans, 23 jours</td>\n",
       "      <td>4 avril 1841</td>\n",
       "      <td>[2]</td>\n",
       "      <td>4 avril 1841</td>\n",
       "      <td>24 890 jours (68 ans, 54 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>John Tyler</td>\n",
       "      <td>29 mars 1790</td>\n",
       "      <td>4 avril 1841</td>\n",
       "      <td>51 ans, 6 jours</td>\n",
       "      <td>4 mars 1845</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18 janvier 1862</td>\n",
       "      <td>26 227 jours (71 ans, 295 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>James K. Polk</td>\n",
       "      <td>2 novembre 1795</td>\n",
       "      <td>4 mars 1845</td>\n",
       "      <td>49 ans, 122 jours</td>\n",
       "      <td>4 mars 1849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15 juin 1849</td>\n",
       "      <td>19 583 jours (53 ans, 225 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>Zachary Taylor</td>\n",
       "      <td>24 novembre 1784</td>\n",
       "      <td>4 mars 1849</td>\n",
       "      <td>64 ans, 100 jours</td>\n",
       "      <td>9 juillet 1850</td>\n",
       "      <td>[2]</td>\n",
       "      <td>9 juillet 1850</td>\n",
       "      <td>23 967 jours (65 ans, 227 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>Millard Fillmore</td>\n",
       "      <td>7 janvier 1800</td>\n",
       "      <td>9 juillet 1850</td>\n",
       "      <td>50 ans, 183 jours</td>\n",
       "      <td>4 mars 1853</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8 mars 1874</td>\n",
       "      <td>27 088 jours (74 ans, 60 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>Franklin Pierce</td>\n",
       "      <td>23 novembre 1804</td>\n",
       "      <td>4 mars 1853</td>\n",
       "      <td>48 ans, 101 jours</td>\n",
       "      <td>4 mars 1857</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8 octobre 1869</td>\n",
       "      <td>23 695 jours (64 ans, 319 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>James Buchanan</td>\n",
       "      <td>23 avril 1791</td>\n",
       "      <td>4 mars 1857</td>\n",
       "      <td>65 ans, 315 jours</td>\n",
       "      <td>4 mars 1861</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1er juin 1868</td>\n",
       "      <td>28 163 jours (77 ans, 39 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>Abraham Lincoln</td>\n",
       "      <td>12 février 1809</td>\n",
       "      <td>4 mars 1861</td>\n",
       "      <td>52 ans, 20 jours</td>\n",
       "      <td>15 avril 1865</td>\n",
       "      <td>[3]</td>\n",
       "      <td>15 avril 1865</td>\n",
       "      <td>20 516 jours (56 ans, 62 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>Andrew Johnson</td>\n",
       "      <td>29 décembre 1808</td>\n",
       "      <td>15 avril 1865</td>\n",
       "      <td>56 ans, 107 jours</td>\n",
       "      <td>4 mars 1869</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31 juillet 1875</td>\n",
       "      <td>24 320 jours (66 ans, 214 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>Ulysses S. Grant</td>\n",
       "      <td>27 avril 1822</td>\n",
       "      <td>4 mars 1869</td>\n",
       "      <td>46 ans, 311 jours</td>\n",
       "      <td>4 mars 1877</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23 juillet 1885</td>\n",
       "      <td>23 098 jours (63 ans, 87 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>Rutherford B. Hayes</td>\n",
       "      <td>4 octobre 1822</td>\n",
       "      <td>4 mars 1877</td>\n",
       "      <td>54 ans, 151 jours</td>\n",
       "      <td>4 mars 1881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17 janvier 1893</td>\n",
       "      <td>25 673 jours (70 ans, 105 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>James A. Garfield</td>\n",
       "      <td>19 novembre 1831</td>\n",
       "      <td>4 mars 1881</td>\n",
       "      <td>49 ans, 105 jours</td>\n",
       "      <td>19 septembre 1881</td>\n",
       "      <td>[3]</td>\n",
       "      <td>19 septembre 1881</td>\n",
       "      <td>18 202 jours (49 ans, 304 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>Chester A. Arthur</td>\n",
       "      <td>5 octobre 1829</td>\n",
       "      <td>19 septembre 1881</td>\n",
       "      <td>51 ans, 349 jours</td>\n",
       "      <td>4 mars 1885</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18 novembre 1886</td>\n",
       "      <td>20 863 jours (57 ans, 44 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>Grover Cleveland</td>\n",
       "      <td>18 mars 1837</td>\n",
       "      <td>4 mars 1885[4]</td>\n",
       "      <td>47 ans, 351 jours</td>\n",
       "      <td>4 mars 1889</td>\n",
       "      <td>5 590 jours[5]</td>\n",
       "      <td>24 juin 1908</td>\n",
       "      <td>26 030 jours (71 ans, 98 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>Benjamin Harrison</td>\n",
       "      <td>20 août 1833</td>\n",
       "      <td>4 mars 1889</td>\n",
       "      <td>55 ans, 196 jours</td>\n",
       "      <td>4 mars 1893</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13 mars 1901</td>\n",
       "      <td>24 676 jours (67 ans, 205 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>Grover Cleveland</td>\n",
       "      <td>18 mars 1837</td>\n",
       "      <td>4 mars 1893[4]</td>\n",
       "      <td>55 ans, 351 jours</td>\n",
       "      <td>4 mars 1897</td>\n",
       "      <td>[5]</td>\n",
       "      <td>24 juin 1908</td>\n",
       "      <td>26 030 jours (71 ans, 98 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>William McKinley</td>\n",
       "      <td>29 janvier 1843</td>\n",
       "      <td>4 mars 1897</td>\n",
       "      <td>54 ans, 34 jours</td>\n",
       "      <td>14 septembre 1901</td>\n",
       "      <td>[3]</td>\n",
       "      <td>14 septembre 1901</td>\n",
       "      <td>21 412 jours (58 ans, 228 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>Theodore Roosevelt</td>\n",
       "      <td>27 octobre 1858</td>\n",
       "      <td>14 septembre 1901</td>\n",
       "      <td>42 ans, 322 jours</td>\n",
       "      <td>4 mars 1909</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6 janvier 1919</td>\n",
       "      <td>21 985 jours (60 ans, 71 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>William Howard Taft</td>\n",
       "      <td>15 septembre 1857</td>\n",
       "      <td>4 mars 1909</td>\n",
       "      <td>51 ans, 170 jours</td>\n",
       "      <td>4 mars 1913</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8 mars 1930</td>\n",
       "      <td>26 471 jours (72 ans, 174 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>Woodrow Wilson</td>\n",
       "      <td>28 décembre 1856</td>\n",
       "      <td>4 mars 1913</td>\n",
       "      <td>56 ans, 66 jours</td>\n",
       "      <td>4 mars 1921</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3 février 1924</td>\n",
       "      <td>24 507 jours (67 ans, 37 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>Warren G. Harding</td>\n",
       "      <td>2 novembre 1865</td>\n",
       "      <td>4 mars 1921</td>\n",
       "      <td>55 ans, 122 jours</td>\n",
       "      <td>2 août 1923</td>\n",
       "      <td>[2]</td>\n",
       "      <td>2 août 1923</td>\n",
       "      <td>21 091 jours (57 ans, 273 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>Calvin Coolidge</td>\n",
       "      <td>4 juillet 1872</td>\n",
       "      <td>2 août 1923</td>\n",
       "      <td>51 ans, 29 jours</td>\n",
       "      <td>4 mars 1929</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5 janvier 1933</td>\n",
       "      <td>22 099 jours (60 ans, 185 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>Herbert Hoover</td>\n",
       "      <td>10 août 1874</td>\n",
       "      <td>4 mars 1929</td>\n",
       "      <td>54 ans, 206 jours</td>\n",
       "      <td>4 mars 1933</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20 octobre 1964</td>\n",
       "      <td>32 943 jours (90 ans, 71 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>32</td>\n",
       "      <td>Franklin D. Roosevelt</td>\n",
       "      <td>30 janvier 1882</td>\n",
       "      <td>4 mars 1933</td>\n",
       "      <td>51 ans, 33 jours</td>\n",
       "      <td>12 avril 1945</td>\n",
       "      <td>[2]</td>\n",
       "      <td>12 avril 1945</td>\n",
       "      <td>23 082 jours (63 ans, 72 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>33</td>\n",
       "      <td>Harry S. Truman</td>\n",
       "      <td>8 mai 1884</td>\n",
       "      <td>12 avril 1945</td>\n",
       "      <td>60 ans, 339 jours</td>\n",
       "      <td>20 janvier 1953</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26 décembre 1972</td>\n",
       "      <td>32 373 jours (88 ans, 232 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>34</td>\n",
       "      <td>Dwight D. Eisenhower</td>\n",
       "      <td>14 octobre 1890</td>\n",
       "      <td>20 janvier 1953</td>\n",
       "      <td>62 ans, 98 jours</td>\n",
       "      <td>20 janvier 1961</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28 mars 1969</td>\n",
       "      <td>28 654 jours (78 ans, 165 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>John F. Kennedy</td>\n",
       "      <td>29 mai 1917</td>\n",
       "      <td>20 janvier 1961</td>\n",
       "      <td>43 ans, 236 jours</td>\n",
       "      <td>22 novembre 1963</td>\n",
       "      <td>[3]</td>\n",
       "      <td>22 novembre 1963</td>\n",
       "      <td>16 978 jours (46 ans, 177 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>36</td>\n",
       "      <td>Lyndon B. Johnson</td>\n",
       "      <td>27 août 1908</td>\n",
       "      <td>22 novembre 1963</td>\n",
       "      <td>55 ans, 87 jours</td>\n",
       "      <td>20 janvier 1969</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22 janvier 1973</td>\n",
       "      <td>23 524 jours (64 ans, 148 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>37</td>\n",
       "      <td>Richard Nixon</td>\n",
       "      <td>9 janvier 1913</td>\n",
       "      <td>20 janvier 1969</td>\n",
       "      <td>56 ans, 11 jours</td>\n",
       "      <td>9 août 1974[6]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22 avril 1994</td>\n",
       "      <td>29 688 jours (81 ans, 103 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>Gerald Ford</td>\n",
       "      <td>14 juillet 1913</td>\n",
       "      <td>9 août 1974</td>\n",
       "      <td>61 ans, 26 jours</td>\n",
       "      <td>20 janvier 1977</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26 décembre 2006</td>\n",
       "      <td>34 133 jours (93 ans, 165 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>39</td>\n",
       "      <td>Jimmy Carter</td>\n",
       "      <td>1er octobre 1924</td>\n",
       "      <td>20 janvier 1977</td>\n",
       "      <td>52 ans, 111 jours</td>\n",
       "      <td>20 janvier 1981</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35 280 jours (96 ans, 216 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>40</td>\n",
       "      <td>Ronald Reagan</td>\n",
       "      <td>6 février 1911</td>\n",
       "      <td>20 janvier 1981</td>\n",
       "      <td>69 ans, 349 jours</td>\n",
       "      <td>20 janvier 1989</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5 juin 2004</td>\n",
       "      <td>34 088 jours (93 ans, 120 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>George H. W. Bush</td>\n",
       "      <td>12 juin 1924</td>\n",
       "      <td>20 janvier 1989</td>\n",
       "      <td>64 ans, 222 jours</td>\n",
       "      <td>20 janvier 1993</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30 novembre 2018</td>\n",
       "      <td>34 504 jours (94 ans, 171 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>42</td>\n",
       "      <td>Bill Clinton</td>\n",
       "      <td>19 août 1946</td>\n",
       "      <td>20 janvier 1993</td>\n",
       "      <td>46 ans, 154 jours</td>\n",
       "      <td>20 janvier 2001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27 288 jours (74 ans, 259 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>43</td>\n",
       "      <td>George W. Bush</td>\n",
       "      <td>6 juillet 1946</td>\n",
       "      <td>20 janvier 2001</td>\n",
       "      <td>54 ans, 198 jours</td>\n",
       "      <td>20 janvier 2009</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27 332 jours (74 ans, 303 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>44</td>\n",
       "      <td>Barack Obama</td>\n",
       "      <td>4 août 1961</td>\n",
       "      <td>20 janvier 2009</td>\n",
       "      <td>47 ans, 169 jours</td>\n",
       "      <td>20 janvier 2017</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21 824 jours (59 ans, 274 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>45</td>\n",
       "      <td>Donald Trump</td>\n",
       "      <td>14 juin 1946</td>\n",
       "      <td>20 janvier 2017</td>\n",
       "      <td>70 ans, 220 jours</td>\n",
       "      <td>20 janvier 2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27 354 jours (74 ans, 325 jours)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>46</td>\n",
       "      <td>Joe Biden</td>\n",
       "      <td>20 novembre 1942</td>\n",
       "      <td>20 janvier 2021</td>\n",
       "      <td>78 ans, 61 jours</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28 656 jours (78 ans, 166 jours)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    No               Président               Né le Devientprésident le  \\\n",
       "0    1       George Washington  22 février 1732[1]       30 avril 1789   \n",
       "1    2              John Adams  30 octobre 1735[1]         4 mars 1797   \n",
       "2    3        Thomas Jefferson    13 avril 1743[1]         4 mars 1801   \n",
       "3    4           James Madison     16 mars 1751[1]         4 mars 1809   \n",
       "4    5            James Monroe       28 avril 1758         4 mars 1817   \n",
       "5    6       John Quincy Adams     11 juillet 1767         4 mars 1825   \n",
       "6    7          Andrew Jackson        15 mars 1767         4 mars 1829   \n",
       "7    8        Martin Van Buren     5 décembre 1782         4 mars 1837   \n",
       "8    9  William Henry Harrison      9 février 1773         4 mars 1841   \n",
       "9   10              John Tyler        29 mars 1790        4 avril 1841   \n",
       "10  11           James K. Polk     2 novembre 1795         4 mars 1845   \n",
       "11  12          Zachary Taylor    24 novembre 1784         4 mars 1849   \n",
       "12  13        Millard Fillmore      7 janvier 1800      9 juillet 1850   \n",
       "13  14         Franklin Pierce    23 novembre 1804         4 mars 1853   \n",
       "14  15          James Buchanan       23 avril 1791         4 mars 1857   \n",
       "15  16         Abraham Lincoln     12 février 1809         4 mars 1861   \n",
       "16  17          Andrew Johnson    29 décembre 1808       15 avril 1865   \n",
       "17  18        Ulysses S. Grant       27 avril 1822         4 mars 1869   \n",
       "18  19     Rutherford B. Hayes      4 octobre 1822         4 mars 1877   \n",
       "19  20       James A. Garfield    19 novembre 1831         4 mars 1881   \n",
       "20  21       Chester A. Arthur      5 octobre 1829   19 septembre 1881   \n",
       "21  22        Grover Cleveland        18 mars 1837      4 mars 1885[4]   \n",
       "22  23       Benjamin Harrison        20 août 1833         4 mars 1889   \n",
       "23  24        Grover Cleveland        18 mars 1837      4 mars 1893[4]   \n",
       "24  25        William McKinley     29 janvier 1843         4 mars 1897   \n",
       "25  26      Theodore Roosevelt     27 octobre 1858   14 septembre 1901   \n",
       "26  27     William Howard Taft   15 septembre 1857         4 mars 1909   \n",
       "27  28          Woodrow Wilson    28 décembre 1856         4 mars 1913   \n",
       "28  29       Warren G. Harding     2 novembre 1865         4 mars 1921   \n",
       "29  30         Calvin Coolidge      4 juillet 1872         2 août 1923   \n",
       "30  31          Herbert Hoover        10 août 1874         4 mars 1929   \n",
       "31  32   Franklin D. Roosevelt     30 janvier 1882         4 mars 1933   \n",
       "32  33         Harry S. Truman          8 mai 1884       12 avril 1945   \n",
       "33  34    Dwight D. Eisenhower     14 octobre 1890     20 janvier 1953   \n",
       "34  35         John F. Kennedy         29 mai 1917     20 janvier 1961   \n",
       "35  36       Lyndon B. Johnson        27 août 1908    22 novembre 1963   \n",
       "36  37           Richard Nixon      9 janvier 1913     20 janvier 1969   \n",
       "37  38             Gerald Ford     14 juillet 1913         9 août 1974   \n",
       "38  39            Jimmy Carter    1er octobre 1924     20 janvier 1977   \n",
       "39  40           Ronald Reagan      6 février 1911     20 janvier 1981   \n",
       "40  41       George H. W. Bush        12 juin 1924     20 janvier 1989   \n",
       "41  42            Bill Clinton        19 août 1946     20 janvier 1993   \n",
       "42  43          George W. Bush      6 juillet 1946     20 janvier 2001   \n",
       "43  44            Barack Obama         4 août 1961     20 janvier 2009   \n",
       "44  45            Donald Trump        14 juin 1946     20 janvier 2017   \n",
       "45  46               Joe Biden    20 novembre 1942     20 janvier 2021   \n",
       "\n",
       "           À l'âge de Cesse d'êtreprésident le À la retraitependant  \\\n",
       "0    57 ans, 67 jours              4 mars 1797                  NaN   \n",
       "1   61 ans, 125 jours              4 mars 1801                  NaN   \n",
       "2   57 ans, 325 jours              4 mars 1809                  NaN   \n",
       "3   57 ans, 353 jours              4 mars 1817                  NaN   \n",
       "4   58 ans, 310 jours              4 mars 1825                  NaN   \n",
       "5   57 ans, 236 jours              4 mars 1829                  NaN   \n",
       "6   61 ans, 354 jours              4 mars 1837                  NaN   \n",
       "7    54 ans, 89 jours              4 mars 1841                  NaN   \n",
       "8    68 ans, 23 jours             4 avril 1841                  [2]   \n",
       "9     51 ans, 6 jours              4 mars 1845                  NaN   \n",
       "10  49 ans, 122 jours              4 mars 1849                  NaN   \n",
       "11  64 ans, 100 jours           9 juillet 1850                  [2]   \n",
       "12  50 ans, 183 jours              4 mars 1853                  NaN   \n",
       "13  48 ans, 101 jours              4 mars 1857                  NaN   \n",
       "14  65 ans, 315 jours              4 mars 1861                  NaN   \n",
       "15   52 ans, 20 jours            15 avril 1865                  [3]   \n",
       "16  56 ans, 107 jours              4 mars 1869                  NaN   \n",
       "17  46 ans, 311 jours              4 mars 1877                  NaN   \n",
       "18  54 ans, 151 jours              4 mars 1881                  NaN   \n",
       "19  49 ans, 105 jours        19 septembre 1881                  [3]   \n",
       "20  51 ans, 349 jours              4 mars 1885                  NaN   \n",
       "21  47 ans, 351 jours              4 mars 1889       5 590 jours[5]   \n",
       "22  55 ans, 196 jours              4 mars 1893                  NaN   \n",
       "23  55 ans, 351 jours              4 mars 1897                  [5]   \n",
       "24   54 ans, 34 jours        14 septembre 1901                  [3]   \n",
       "25  42 ans, 322 jours              4 mars 1909                  NaN   \n",
       "26  51 ans, 170 jours              4 mars 1913                  NaN   \n",
       "27   56 ans, 66 jours              4 mars 1921                  NaN   \n",
       "28  55 ans, 122 jours              2 août 1923                  [2]   \n",
       "29   51 ans, 29 jours              4 mars 1929                  NaN   \n",
       "30  54 ans, 206 jours              4 mars 1933                  NaN   \n",
       "31   51 ans, 33 jours            12 avril 1945                  [2]   \n",
       "32  60 ans, 339 jours          20 janvier 1953                  NaN   \n",
       "33   62 ans, 98 jours          20 janvier 1961                  NaN   \n",
       "34  43 ans, 236 jours         22 novembre 1963                  [3]   \n",
       "35   55 ans, 87 jours          20 janvier 1969                  NaN   \n",
       "36   56 ans, 11 jours           9 août 1974[6]                  NaN   \n",
       "37   61 ans, 26 jours          20 janvier 1977                  NaN   \n",
       "38  52 ans, 111 jours          20 janvier 1981                  NaN   \n",
       "39  69 ans, 349 jours          20 janvier 1989                  NaN   \n",
       "40  64 ans, 222 jours          20 janvier 1993                  NaN   \n",
       "41  46 ans, 154 jours          20 janvier 2001                  NaN   \n",
       "42  54 ans, 198 jours          20 janvier 2009                  NaN   \n",
       "43  47 ans, 169 jours          20 janvier 2017                  NaN   \n",
       "44  70 ans, 220 jours          20 janvier 2021                  NaN   \n",
       "45   78 ans, 61 jours                      NaN                  NaN   \n",
       "\n",
       "              Mort le                      Durée de vie  \n",
       "0    14 décembre 1799  24 767 jours (67 ans, 295 jours)  \n",
       "1      4 juillet 1826  33 119 jours (90 ans, 247 jours)  \n",
       "2      4 juillet 1826   30 397 jours (83 ans, 82 jours)  \n",
       "3        28 juin 1836  31 150 jours (85 ans, 104 jours)  \n",
       "4      4 juillet 1831   26 729 jours (73 ans, 67 jours)  \n",
       "5     23 février 1848  29 446 jours (80 ans, 227 jours)  \n",
       "6         8 juin 1845   28 574 jours (78 ans, 85 jours)  \n",
       "7     24 juillet 1862  29 085 jours (79 ans, 231 jours)  \n",
       "8        4 avril 1841   24 890 jours (68 ans, 54 jours)  \n",
       "9     18 janvier 1862  26 227 jours (71 ans, 295 jours)  \n",
       "10       15 juin 1849  19 583 jours (53 ans, 225 jours)  \n",
       "11     9 juillet 1850  23 967 jours (65 ans, 227 jours)  \n",
       "12        8 mars 1874   27 088 jours (74 ans, 60 jours)  \n",
       "13     8 octobre 1869  23 695 jours (64 ans, 319 jours)  \n",
       "14      1er juin 1868   28 163 jours (77 ans, 39 jours)  \n",
       "15      15 avril 1865   20 516 jours (56 ans, 62 jours)  \n",
       "16    31 juillet 1875  24 320 jours (66 ans, 214 jours)  \n",
       "17    23 juillet 1885   23 098 jours (63 ans, 87 jours)  \n",
       "18    17 janvier 1893  25 673 jours (70 ans, 105 jours)  \n",
       "19  19 septembre 1881  18 202 jours (49 ans, 304 jours)  \n",
       "20   18 novembre 1886   20 863 jours (57 ans, 44 jours)  \n",
       "21       24 juin 1908   26 030 jours (71 ans, 98 jours)  \n",
       "22       13 mars 1901  24 676 jours (67 ans, 205 jours)  \n",
       "23       24 juin 1908   26 030 jours (71 ans, 98 jours)  \n",
       "24  14 septembre 1901  21 412 jours (58 ans, 228 jours)  \n",
       "25     6 janvier 1919   21 985 jours (60 ans, 71 jours)  \n",
       "26        8 mars 1930  26 471 jours (72 ans, 174 jours)  \n",
       "27     3 février 1924   24 507 jours (67 ans, 37 jours)  \n",
       "28        2 août 1923  21 091 jours (57 ans, 273 jours)  \n",
       "29     5 janvier 1933  22 099 jours (60 ans, 185 jours)  \n",
       "30    20 octobre 1964   32 943 jours (90 ans, 71 jours)  \n",
       "31      12 avril 1945   23 082 jours (63 ans, 72 jours)  \n",
       "32   26 décembre 1972  32 373 jours (88 ans, 232 jours)  \n",
       "33       28 mars 1969  28 654 jours (78 ans, 165 jours)  \n",
       "34   22 novembre 1963  16 978 jours (46 ans, 177 jours)  \n",
       "35    22 janvier 1973  23 524 jours (64 ans, 148 jours)  \n",
       "36      22 avril 1994  29 688 jours (81 ans, 103 jours)  \n",
       "37   26 décembre 2006  34 133 jours (93 ans, 165 jours)  \n",
       "38                NaN  35 280 jours (96 ans, 216 jours)  \n",
       "39        5 juin 2004  34 088 jours (93 ans, 120 jours)  \n",
       "40   30 novembre 2018  34 504 jours (94 ans, 171 jours)  \n",
       "41                NaN  27 288 jours (74 ans, 259 jours)  \n",
       "42                NaN  27 332 jours (74 ans, 303 jours)  \n",
       "43                NaN  21 824 jours (59 ans, 274 jours)  \n",
       "44                NaN  27 354 jours (74 ans, 325 jours)  \n",
       "45                NaN  28 656 jours (78 ans, 166 jours)  "
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