Notebook_netflix_titles.ipynb

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   "cell_type": "markdown",
   "id": "8d8ecb42",
   "metadata": {},
   "source": [
    "# <p style=\"color:green;\"> Exercise on Netflix_titles </p>\n",
    "\n",
    "![logo_netflix.png](attachment:logo_netflix.png)\n",
    "\n",
    "## <p style=\"color:red;\"> July 2022 </p>\n",
    "### <p style=\"color:blue;\">Book: Python pour la Data Science - Analysez vos données par la pratique avec NumPy, Pandas, Matplotlib et Seaborn (by Amandine VELT)</p>\n",
    "\n",
    "This notebook is dealing with a specific dataset: **Netflix_titles.csv**.\n",
    "It contains the most current and important operations using *Numpy, Pandas, Matplotlib and Seaborn*.\n",
    "\n",
    "The different points analysed are:\n",
    "* 1: dataset import and overview (name is data) \n",
    "* 2: dataset size\n",
    "* 3: Movies and TV Show count\n",
    "* 4: Statistical results summary\n",
    "* 5: NaN values analysis\n",
    "* 6: Missing values exploration\n",
    "* 7: Delete duplicate rows\n",
    "* 8: Count Movie & TV Show produced in US and France\n",
    "* 9: The older content available in Netflix\n",
    "* 10: The longer movie in Netflix\n",
    "* 11: Category with highest content\n",
    "* 12: Directors with highest number of movies\n",
    "* 13: Jan Suter and his actors\n",
    "* 14: Top ten countries\n",
    "* 15: Number of films per ratings\n",
    "* 16: Evolution of number of movies / TV show along the time\n",
    "* 17: Movies duration distribution\n",
    "* 18: Series seasons number\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1c0e5fb7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Python packages import\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e69fb5db",
   "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>type</th>\n",
       "      <th>title</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>show_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>81145628</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Norm of the North: King Sized Adventure</td>\n",
       "      <td>Richard Finn, Tim Maltby</td>\n",
       "      <td>Alan Marriott, Andrew Toth, Brian Dobson, Cole...</td>\n",
       "      <td>United States, India, South Korea, China</td>\n",
       "      <td>September 9, 2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Children &amp; Family Movies, Comedies</td>\n",
       "      <td>Before planning an awesome wedding for his gra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80117401</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Jandino: Whatever it Takes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jandino Asporaat</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>September 9, 2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>94 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Jandino Asporaat riffs on the challenges of ra...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           type                                    title  \\\n",
       "show_id                                                    \n",
       "81145628  Movie  Norm of the North: King Sized Adventure   \n",
       "80117401  Movie               Jandino: Whatever it Takes   \n",
       "\n",
       "                          director  \\\n",
       "show_id                              \n",
       "81145628  Richard Finn, Tim Maltby   \n",
       "80117401                       NaN   \n",
       "\n",
       "                                                       cast  \\\n",
       "show_id                                                       \n",
       "81145628  Alan Marriott, Andrew Toth, Brian Dobson, Cole...   \n",
       "80117401                                   Jandino Asporaat   \n",
       "\n",
       "                                           country         date_added  \\\n",
       "show_id                                                                 \n",
       "81145628  United States, India, South Korea, China  September 9, 2019   \n",
       "80117401                            United Kingdom  September 9, 2016   \n",
       "\n",
       "          release_year rating duration                           listed_in  \\\n",
       "show_id                                                                      \n",
       "81145628          2019  TV-PG   90 min  Children & Family Movies, Comedies   \n",
       "80117401          2016  TV-MA   94 min                     Stand-Up Comedy   \n",
       "\n",
       "                                                description  \n",
       "show_id                                                      \n",
       "81145628  Before planning an awesome wedding for his gra...  \n",
       "80117401  Jandino Asporaat riffs on the challenges of ra...  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1 # Data import & overview\n",
    "data = pd.read_csv(\"netflix_titles.csv\", index_col = 0)\n",
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "daeb9035",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The number of rows is: 6234\n",
      "The number of columns is: 11\n"
     ]
    }
   ],
   "source": [
    "# 2 # DataFrame size\n",
    "print(\"The number of rows is:\", data.shape[0])\n",
    "print(\"The number of columns is:\", data.shape[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "942f7544",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title\n",
       "Norm of the North: King Sized Adventure          Movie\n",
       "Jandino: Whatever it Takes                       Movie\n",
       "Transformers Prime                             TV Show\n",
       "Transformers: Robots in Disguise               TV Show\n",
       "#realityhigh                                     Movie\n",
       "                                                ...   \n",
       "Red vs. Blue                                   TV Show\n",
       "Maron                                          TV Show\n",
       "Little Baby Bum: Nursery Rhyme Friends           Movie\n",
       "A Young Doctor's Notebook and Other Stories    TV Show\n",
       "Friends                                        TV Show\n",
       "Name: type, Length: 6234, dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.set_index('title')['type']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2f42729f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The number of Movie in Netflix dataset is 4265\n",
      "The number of TV Show in Netflix dataset is 1969\n"
     ]
    }
   ],
   "source": [
    "# 3 # Movies and TV Show count\n",
    "data_Movie = data.loc[data['type'] == 'Movie']\n",
    "data_TVShow = data.loc[data['type'] == 'TV Show']\n",
    "# print results using loc method\n",
    "print(\"The number of Movie in Netflix dataset is\", len(data_Movie))\n",
    "print(\"The number of TV Show in Netflix dataset is\", len(data_TVShow))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d0e0eb92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "plt.title('Percentage of Netflix Titles that are either Movies or TV Shows')\n",
    "plt.pie(data.type.value_counts(),\n",
    "        explode = (0.025,0.025), \n",
    "        labels = data.type.value_counts().index, \n",
    "        colors = ['red','black'], \n",
    "        autopct='%1.1f%%', \n",
    "        startangle=180, \n",
    "        textprops = {'color': 'Grey','weight':'bold','fontsize':16})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d23b8db6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Movie      4265\n",
       "TV Show    1969\n",
       "Name: type, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# print results using value_counts method\n",
    "data['type'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "abf8d631",
   "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>release_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>6234.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2013.35932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.81162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1925.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2013.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2016.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2018.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2020.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       release_year\n",
       "count    6234.00000\n",
       "mean     2013.35932\n",
       "std         8.81162\n",
       "min      1925.00000\n",
       "25%      2013.00000\n",
       "50%      2016.00000\n",
       "75%      2018.00000\n",
       "max      2020.00000"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 4 # Statistical results summary\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ce9043ca",
   "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>type</th>\n",
       "      <th>title</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>6234</td>\n",
       "      <td>6234</td>\n",
       "      <td>4265</td>\n",
       "      <td>5664</td>\n",
       "      <td>5758</td>\n",
       "      <td>6223</td>\n",
       "      <td>6234.00000</td>\n",
       "      <td>6224</td>\n",
       "      <td>6234</td>\n",
       "      <td>6234</td>\n",
       "      <td>6234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>2</td>\n",
       "      <td>6172</td>\n",
       "      <td>3301</td>\n",
       "      <td>5469</td>\n",
       "      <td>554</td>\n",
       "      <td>1524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>201</td>\n",
       "      <td>461</td>\n",
       "      <td>6226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Movie</td>\n",
       "      <td>The Silence</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>David Attenborough</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Documentaries</td>\n",
       "      <td>A surly septuagenarian gets another chance at ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>4265</td>\n",
       "      <td>3</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>2032</td>\n",
       "      <td>122</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2027</td>\n",
       "      <td>1321</td>\n",
       "      <td>299</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\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>2013.35932</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\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>8.81162</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\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>1925.00000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\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>2013.00000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\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>2016.00000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\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>2018.00000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\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>2020.00000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         type        title                director                cast  \\\n",
       "count    6234         6234                    4265                5664   \n",
       "unique      2         6172                    3301                5469   \n",
       "top     Movie  The Silence  Raúl Campos, Jan Suter  David Attenborough   \n",
       "freq     4265            3                      18                  18   \n",
       "mean      NaN          NaN                     NaN                 NaN   \n",
       "std       NaN          NaN                     NaN                 NaN   \n",
       "min       NaN          NaN                     NaN                 NaN   \n",
       "25%       NaN          NaN                     NaN                 NaN   \n",
       "50%       NaN          NaN                     NaN                 NaN   \n",
       "75%       NaN          NaN                     NaN                 NaN   \n",
       "max       NaN          NaN                     NaN                 NaN   \n",
       "\n",
       "              country       date_added  release_year rating  duration  \\\n",
       "count            5758             6223    6234.00000   6224      6234   \n",
       "unique            554             1524           NaN     14       201   \n",
       "top     United States  January 1, 2020           NaN  TV-MA  1 Season   \n",
       "freq             2032              122           NaN   2027      1321   \n",
       "mean              NaN              NaN    2013.35932    NaN       NaN   \n",
       "std               NaN              NaN       8.81162    NaN       NaN   \n",
       "min               NaN              NaN    1925.00000    NaN       NaN   \n",
       "25%               NaN              NaN    2013.00000    NaN       NaN   \n",
       "50%               NaN              NaN    2016.00000    NaN       NaN   \n",
       "75%               NaN              NaN    2018.00000    NaN       NaN   \n",
       "max               NaN              NaN    2020.00000    NaN       NaN   \n",
       "\n",
       "            listed_in                                        description  \n",
       "count            6234                                               6234  \n",
       "unique            461                                               6226  \n",
       "top     Documentaries  A surly septuagenarian gets another chance at ...  \n",
       "freq              299                                                  3  \n",
       "mean              NaN                                                NaN  \n",
       "std               NaN                                                NaN  \n",
       "min               NaN                                                NaN  \n",
       "25%               NaN                                                NaN  \n",
       "50%               NaN                                                NaN  \n",
       "75%               NaN                                                NaN  \n",
       "max               NaN                                                NaN  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe(include='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0d2b8a1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\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>type</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
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       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Norm of the North: King Sized Adventure</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jandino: Whatever it Takes</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transformers Prime</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transformers: Robots in Disguise</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>#realityhigh</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Red vs. Blue</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maron</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Little Baby Bum: Nursery Rhyme Friends</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A Young Doctor's Notebook and Other Stories</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Friends</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6234 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              type  director   cast  country  \\\n",
       "title                                                                          \n",
       "Norm of the North: King Sized Adventure      False     False  False    False   \n",
       "Jandino: Whatever it Takes                   False      True  False    False   \n",
       "Transformers Prime                           False      True  False    False   \n",
       "Transformers: Robots in Disguise             False      True  False    False   \n",
       "#realityhigh                                 False     False  False    False   \n",
       "...                                            ...       ...    ...      ...   \n",
       "Red vs. Blue                                 False      True  False    False   \n",
       "Maron                                        False      True  False    False   \n",
       "Little Baby Bum: Nursery Rhyme Friends       False      True   True     True   \n",
       "A Young Doctor's Notebook and Other Stories  False      True  False    False   \n",
       "Friends                                      False      True  False    False   \n",
       "\n",
       "                                             date_added  release_year  rating  \\\n",
       "title                                                                           \n",
       "Norm of the North: King Sized Adventure           False         False   False   \n",
       "Jandino: Whatever it Takes                        False         False   False   \n",
       "Transformers Prime                                False         False   False   \n",
       "Transformers: Robots in Disguise                  False         False   False   \n",
       "#realityhigh                                      False         False   False   \n",
       "...                                                 ...           ...     ...   \n",
       "Red vs. Blue                                       True         False   False   \n",
       "Maron                                              True         False   False   \n",
       "Little Baby Bum: Nursery Rhyme Friends             True         False    True   \n",
       "A Young Doctor's Notebook and Other Stories        True         False   False   \n",
       "Friends                                            True         False   False   \n",
       "\n",
       "                                             duration  listed_in  description  \n",
       "title                                                                          \n",
       "Norm of the North: King Sized Adventure         False      False        False  \n",
       "Jandino: Whatever it Takes                      False      False        False  \n",
       "Transformers Prime                              False      False        False  \n",
       "Transformers: Robots in Disguise                False      False        False  \n",
       "#realityhigh                                    False      False        False  \n",
       "...                                               ...        ...          ...  \n",
       "Red vs. Blue                                    False      False        False  \n",
       "Maron                                           False      False        False  \n",
       "Little Baby Bum: Nursery Rhyme Friends          False      False        False  \n",
       "A Young Doctor's Notebook and Other Stories     False      False        False  \n",
       "Friends                                         False      False        False  \n",
       "\n",
       "[6234 rows x 10 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 5 # NaN values\n",
    "data.set_index('title').isna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "83f764c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "type               0\n",
       "title              0\n",
       "director        1969\n",
       "cast             570\n",
       "country          476\n",
       "date_added        11\n",
       "release_year       0\n",
       "rating            10\n",
       "duration           0\n",
       "listed_in          0\n",
       "description        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "5aa45aa2",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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>type</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Jandino: Whatever it Takes</th>\n",
       "      <td>Movie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jandino Asporaat</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>September 9, 2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>94 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Jandino Asporaat riffs on the challenges of ra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transformers Prime</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Peter Cullen, Sumalee Montano, Frank Welker, J...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2018</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-Y7-FV</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>With the help of three human allies, the Autob...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transformers: Robots in Disguise</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Will Friedle, Darren Criss, Constance Zimmer, ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2018</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>When a prison ship crash unleashes hundreds of...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Apaches</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Alberto Ammann, Eloy Azorín, Verónica Echegui,...</td>\n",
       "      <td>Spain</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Crime TV Shows, International TV Shows, Spanis...</td>\n",
       "      <td>A young journalist is forced into a life of cr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fire Chasers</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Docuseries, Science &amp; Nature TV</td>\n",
       "      <td>As California's 2016 fire season rages, brave ...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Red vs. Blue</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Burnie Burns, Jason Saldaña, Gustavo Sorola, G...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015</td>\n",
       "      <td>NR</td>\n",
       "      <td>13 Seasons</td>\n",
       "      <td>TV Action &amp; Adventure, TV Comedies, TV Sci-Fi ...</td>\n",
       "      <td>This parody of first-person shooter games, mil...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maron</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Marc Maron, Judd Hirsch, Josh Brener, Nora Zeh...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>TV Comedies</td>\n",
       "      <td>Marc Maron stars as Marc Maron, who interviews...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Little Baby Bum: Nursery Rhyme Friends</th>\n",
       "      <td>Movie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60 min</td>\n",
       "      <td>Movies</td>\n",
       "      <td>Nursery rhymes and original music for children...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A Young Doctor's Notebook and Other Stories</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Daniel Radcliffe, Jon Hamm, Adam Godley, Chris...</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>British TV Shows, TV Comedies, TV Dramas</td>\n",
       "      <td>Set during the Russian Revolution, this comic ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Friends</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jennifer Aniston, Courteney Cox, Lisa Kudrow, ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2003</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>10 Seasons</td>\n",
       "      <td>Classic &amp; Cult TV, TV Comedies</td>\n",
       "      <td>This hit sitcom follows the merry misadventure...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1969 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                type director  \\\n",
       "title                                                           \n",
       "Jandino: Whatever it Takes                     Movie      NaN   \n",
       "Transformers Prime                           TV Show      NaN   \n",
       "Transformers: Robots in Disguise             TV Show      NaN   \n",
       "Apaches                                      TV Show      NaN   \n",
       "Fire Chasers                                 TV Show      NaN   \n",
       "...                                              ...      ...   \n",
       "Red vs. Blue                                 TV Show      NaN   \n",
       "Maron                                        TV Show      NaN   \n",
       "Little Baby Bum: Nursery Rhyme Friends         Movie      NaN   \n",
       "A Young Doctor's Notebook and Other Stories  TV Show      NaN   \n",
       "Friends                                      TV Show      NaN   \n",
       "\n",
       "                                                                                          cast  \\\n",
       "title                                                                                            \n",
       "Jandino: Whatever it Takes                                                    Jandino Asporaat   \n",
       "Transformers Prime                           Peter Cullen, Sumalee Montano, Frank Welker, J...   \n",
       "Transformers: Robots in Disguise             Will Friedle, Darren Criss, Constance Zimmer, ...   \n",
       "Apaches                                      Alberto Ammann, Eloy Azorín, Verónica Echegui,...   \n",
       "Fire Chasers                                                                               NaN   \n",
       "...                                                                                        ...   \n",
       "Red vs. Blue                                 Burnie Burns, Jason Saldaña, Gustavo Sorola, G...   \n",
       "Maron                                        Marc Maron, Judd Hirsch, Josh Brener, Nora Zeh...   \n",
       "Little Baby Bum: Nursery Rhyme Friends                                                     NaN   \n",
       "A Young Doctor's Notebook and Other Stories  Daniel Radcliffe, Jon Hamm, Adam Godley, Chris...   \n",
       "Friends                                      Jennifer Aniston, Courteney Cox, Lisa Kudrow, ...   \n",
       "\n",
       "                                                    country  \\\n",
       "title                                                         \n",
       "Jandino: Whatever it Takes                   United Kingdom   \n",
       "Transformers Prime                            United States   \n",
       "Transformers: Robots in Disguise              United States   \n",
       "Apaches                                               Spain   \n",
       "Fire Chasers                                  United States   \n",
       "...                                                     ...   \n",
       "Red vs. Blue                                  United States   \n",
       "Maron                                         United States   \n",
       "Little Baby Bum: Nursery Rhyme Friends                  NaN   \n",
       "A Young Doctor's Notebook and Other Stories  United Kingdom   \n",
       "Friends                                       United States   \n",
       "\n",
       "                                                    date_added  release_year  \\\n",
       "title                                                                          \n",
       "Jandino: Whatever it Takes                   September 9, 2016          2016   \n",
       "Transformers Prime                           September 8, 2018          2013   \n",
       "Transformers: Robots in Disguise             September 8, 2018          2016   \n",
       "Apaches                                      September 8, 2017          2016   \n",
       "Fire Chasers                                 September 8, 2017          2017   \n",
       "...                                                        ...           ...   \n",
       "Red vs. Blue                                               NaN          2015   \n",
       "Maron                                                      NaN          2016   \n",
       "Little Baby Bum: Nursery Rhyme Friends                     NaN          2016   \n",
       "A Young Doctor's Notebook and Other Stories                NaN          2013   \n",
       "Friends                                                    NaN          2003   \n",
       "\n",
       "                                               rating    duration  \\\n",
       "title                                                               \n",
       "Jandino: Whatever it Takes                      TV-MA      94 min   \n",
       "Transformers Prime                           TV-Y7-FV    1 Season   \n",
       "Transformers: Robots in Disguise                TV-Y7    1 Season   \n",
       "Apaches                                         TV-MA    1 Season   \n",
       "Fire Chasers                                    TV-MA    1 Season   \n",
       "...                                               ...         ...   \n",
       "Red vs. Blue                                       NR  13 Seasons   \n",
       "Maron                                           TV-MA   4 Seasons   \n",
       "Little Baby Bum: Nursery Rhyme Friends            NaN      60 min   \n",
       "A Young Doctor's Notebook and Other Stories     TV-MA   2 Seasons   \n",
       "Friends                                         TV-14  10 Seasons   \n",
       "\n",
       "                                                                                     listed_in  \\\n",
       "title                                                                                            \n",
       "Jandino: Whatever it Takes                                                     Stand-Up Comedy   \n",
       "Transformers Prime                                                                    Kids' TV   \n",
       "Transformers: Robots in Disguise                                                      Kids' TV   \n",
       "Apaches                                      Crime TV Shows, International TV Shows, Spanis...   \n",
       "Fire Chasers                                                   Docuseries, Science & Nature TV   \n",
       "...                                                                                        ...   \n",
       "Red vs. Blue                                 TV Action & Adventure, TV Comedies, TV Sci-Fi ...   \n",
       "Maron                                                                              TV Comedies   \n",
       "Little Baby Bum: Nursery Rhyme Friends                                                  Movies   \n",
       "A Young Doctor's Notebook and Other Stories           British TV Shows, TV Comedies, TV Dramas   \n",
       "Friends                                                         Classic & Cult TV, TV Comedies   \n",
       "\n",
       "                                                                                   description  \n",
       "title                                                                                           \n",
       "Jandino: Whatever it Takes                   Jandino Asporaat riffs on the challenges of ra...  \n",
       "Transformers Prime                           With the help of three human allies, the Autob...  \n",
       "Transformers: Robots in Disguise             When a prison ship crash unleashes hundreds of...  \n",
       "Apaches                                      A young journalist is forced into a life of cr...  \n",
       "Fire Chasers                                 As California's 2016 fire season rages, brave ...  \n",
       "...                                                                                        ...  \n",
       "Red vs. Blue                                 This parody of first-person shooter games, mil...  \n",
       "Maron                                        Marc Maron stars as Marc Maron, who interviews...  \n",
       "Little Baby Bum: Nursery Rhyme Friends       Nursery rhymes and original music for children...  \n",
       "A Young Doctor's Notebook and Other Stories  Set during the Russian Revolution, this comic ...  \n",
       "Friends                                      This hit sitcom follows the merry misadventure...  \n",
       "\n",
       "[1969 rows x 10 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 6 # Missing values exploration\n",
    "data_NaN_director = data.loc[data['director'].isna()].set_index('title')\n",
    "data_NaN_director"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f372a683",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TV Show    1841\n",
       "Movie       128\n",
       "Name: type, dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# print results using value_counts method\n",
    "data_NaN_director['type'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "ab41d08e",
   "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>type</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Fire Chasers</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Docuseries, Science &amp; Nature TV</td>\n",
       "      <td>As California's 2016 fire season rages, brave ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rolling Papers</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Mitch Dickman</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States, Uruguay</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2015</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>79 min</td>\n",
       "      <td>Documentaries</td>\n",
       "      <td>As the newspaper industry takes a hit, The Den...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>City of Joy</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Madeleine Gavin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States,</td>\n",
       "      <td>September 7, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>77 min</td>\n",
       "      <td>Documentaries</td>\n",
       "      <td>Women who've been sexually brutalized in war-t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>First and Last</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>September 7, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Docuseries</td>\n",
       "      <td>Take an intimate look at the emotionally charg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Christiane Amanpour: Sex &amp; Love Around the World</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 30, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Docuseries</td>\n",
       "      <td>A contextual, acculturated dive into how adult...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pororo - The Little Penguin</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>South Korea</td>\n",
       "      <td>April 19, 2019</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-Y</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV, Korean TV Shows</td>\n",
       "      <td>On a tiny island, Pororo the penguin has fun a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Murderous Affairs</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</td>\n",
       "      <td>April 17, 2018</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>3 Seasons</td>\n",
       "      <td>Crime TV Shows, Docuseries</td>\n",
       "      <td>Mixing interviews with dramatic re-enactments,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Minimighty Kids</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>France</td>\n",
       "      <td>April 15, 2018</td>\n",
       "      <td>2012</td>\n",
       "      <td>TV-G</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV, TV Comedies</td>\n",
       "      <td>Some have big feet or a sniffly nose, others a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chelsea</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</td>\n",
       "      <td>April 14, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Stand-Up Comedy &amp; Talk Shows, TV Comedies</td>\n",
       "      <td>It's not her first talk show, but it is a firs...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Little Baby Bum: Nursery Rhyme Friends</th>\n",
       "      <td>Movie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60 min</td>\n",
       "      <td>Movies</td>\n",
       "      <td>Nursery rhymes and original music for children...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>570 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     type         director  \\\n",
       "title                                                                        \n",
       "Fire Chasers                                      TV Show              NaN   \n",
       "Rolling Papers                                      Movie    Mitch Dickman   \n",
       "City of Joy                                         Movie  Madeleine Gavin   \n",
       "First and Last                                    TV Show              NaN   \n",
       "Christiane Amanpour: Sex & Love Around the World  TV Show              NaN   \n",
       "...                                                   ...              ...   \n",
       "Pororo - The Little Penguin                       TV Show              NaN   \n",
       "Murderous Affairs                                 TV Show              NaN   \n",
       "The Minimighty Kids                               TV Show              NaN   \n",
       "Chelsea                                           TV Show              NaN   \n",
       "Little Baby Bum: Nursery Rhyme Friends              Movie              NaN   \n",
       "\n",
       "                                                 cast                 country  \\\n",
       "title                                                                           \n",
       "Fire Chasers                                      NaN           United States   \n",
       "Rolling Papers                                    NaN  United States, Uruguay   \n",
       "City of Joy                                       NaN          United States,   \n",
       "First and Last                                    NaN                     NaN   \n",
       "Christiane Amanpour: Sex & Love Around the World  NaN           United States   \n",
       "...                                               ...                     ...   \n",
       "Pororo - The Little Penguin                       NaN             South Korea   \n",
       "Murderous Affairs                                 NaN           United States   \n",
       "The Minimighty Kids                               NaN                  France   \n",
       "Chelsea                                           NaN           United States   \n",
       "Little Baby Bum: Nursery Rhyme Friends            NaN                     NaN   \n",
       "\n",
       "                                                          date_added  \\\n",
       "title                                                                  \n",
       "Fire Chasers                                       September 8, 2017   \n",
       "Rolling Papers                                     September 8, 2017   \n",
       "City of Joy                                        September 7, 2018   \n",
       "First and Last                                     September 7, 2018   \n",
       "Christiane Amanpour: Sex & Love Around the World  September 30, 2018   \n",
       "...                                                              ...   \n",
       "Pororo - The Little Penguin                           April 19, 2019   \n",
       "Murderous Affairs                                     April 17, 2018   \n",
       "The Minimighty Kids                                   April 15, 2018   \n",
       "Chelsea                                               April 14, 2017   \n",
       "Little Baby Bum: Nursery Rhyme Friends                           NaN   \n",
       "\n",
       "                                                  release_year rating  \\\n",
       "title                                                                   \n",
       "Fire Chasers                                              2017  TV-MA   \n",
       "Rolling Papers                                            2015  TV-MA   \n",
       "City of Joy                                               2018  TV-MA   \n",
       "First and Last                                            2018  TV-MA   \n",
       "Christiane Amanpour: Sex & Love Around the World          2018  TV-MA   \n",
       "...                                                        ...    ...   \n",
       "Pororo - The Little Penguin                               2013   TV-Y   \n",
       "Murderous Affairs                                         2017  TV-14   \n",
       "The Minimighty Kids                                       2012   TV-G   \n",
       "Chelsea                                                   2017  TV-MA   \n",
       "Little Baby Bum: Nursery Rhyme Friends                    2016    NaN   \n",
       "\n",
       "                                                   duration  \\\n",
       "title                                                         \n",
       "Fire Chasers                                       1 Season   \n",
       "Rolling Papers                                       79 min   \n",
       "City of Joy                                          77 min   \n",
       "First and Last                                     1 Season   \n",
       "Christiane Amanpour: Sex & Love Around the World   1 Season   \n",
       "...                                                     ...   \n",
       "Pororo - The Little Penguin                       2 Seasons   \n",
       "Murderous Affairs                                 3 Seasons   \n",
       "The Minimighty Kids                               2 Seasons   \n",
       "Chelsea                                           2 Seasons   \n",
       "Little Baby Bum: Nursery Rhyme Friends               60 min   \n",
       "\n",
       "                                                                                  listed_in  \\\n",
       "title                                                                                         \n",
       "Fire Chasers                                                Docuseries, Science & Nature TV   \n",
       "Rolling Papers                                                                Documentaries   \n",
       "City of Joy                                                                   Documentaries   \n",
       "First and Last                                                                   Docuseries   \n",
       "Christiane Amanpour: Sex & Love Around the World                                 Docuseries   \n",
       "...                                                                                     ...   \n",
       "Pororo - The Little Penguin                                       Kids' TV, Korean TV Shows   \n",
       "Murderous Affairs                                                Crime TV Shows, Docuseries   \n",
       "The Minimighty Kids                                                   Kids' TV, TV Comedies   \n",
       "Chelsea                                           Stand-Up Comedy & Talk Shows, TV Comedies   \n",
       "Little Baby Bum: Nursery Rhyme Friends                                               Movies   \n",
       "\n",
       "                                                                                        description  \n",
       "title                                                                                                \n",
       "Fire Chasers                                      As California's 2016 fire season rages, brave ...  \n",
       "Rolling Papers                                    As the newspaper industry takes a hit, The Den...  \n",
       "City of Joy                                       Women who've been sexually brutalized in war-t...  \n",
       "First and Last                                    Take an intimate look at the emotionally charg...  \n",
       "Christiane Amanpour: Sex & Love Around the World  A contextual, acculturated dive into how adult...  \n",
       "...                                                                                             ...  \n",
       "Pororo - The Little Penguin                       On a tiny island, Pororo the penguin has fun a...  \n",
       "Murderous Affairs                                 Mixing interviews with dramatic re-enactments,...  \n",
       "The Minimighty Kids                               Some have big feet or a sniffly nose, others a...  \n",
       "Chelsea                                           It's not her first talk show, but it is a firs...  \n",
       "Little Baby Bum: Nursery Rhyme Friends            Nursery rhymes and original music for children...  \n",
       "\n",
       "[570 rows x 10 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_NaN_cast = data.loc[data['cast'].isna()]\n",
    "data_NaN_cast.set_index('title')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4a1e4a6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Documentaries                                         148\n",
       "Documentaries, International Movies                    94\n",
       "Docuseries                                             31\n",
       "Documentaries, Sports Movies                           20\n",
       "Crime TV Shows, Docuseries                             19\n",
       "Documentaries, Music & Musicals                        15\n",
       "Documentaries, International Movies, Sports Movies     14\n",
       "Kids' TV                                               14\n",
       "Docuseries, International TV Shows                     14\n",
       "Crime TV Shows, Docuseries, International TV Shows     12\n",
       "Name: listed_in, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_NaN_cast.loc[:,'listed_in'].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "c9774a16",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The number of duplicated rows is: 1\n",
      "The row id of duplicated row is: Int64Index([81072516], dtype='int64', name='show_id')\n"
     ]
    }
   ],
   "source": [
    "# 7 # Delete duplicate rows\n",
    "print(\"The number of duplicated rows is:\", data.duplicated().sum())\n",
    "print(\"The row id of duplicated row is:\", data[data.duplicated() == True].index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "23bfa744",
   "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>type</th>\n",
       "      <th>title</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>show_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>81072516</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Sarkar</td>\n",
       "      <td>A.R. Murugadoss</td>\n",
       "      <td>Vijay, Varalakshmi Sarathkumar, Keerthi Suresh...</td>\n",
       "      <td>India</td>\n",
       "      <td>March 2, 2019</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>162 min</td>\n",
       "      <td>Action &amp; Adventure, Dramas, International Movies</td>\n",
       "      <td>A ruthless businessman’s mission to expose ele...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           type   title         director  \\\n",
       "show_id                                    \n",
       "81072516  Movie  Sarkar  A.R. Murugadoss   \n",
       "\n",
       "                                                       cast country  \\\n",
       "show_id                                                               \n",
       "81072516  Vijay, Varalakshmi Sarathkumar, Keerthi Suresh...   India   \n",
       "\n",
       "             date_added  release_year rating duration  \\\n",
       "show_id                                                 \n",
       "81072516  March 2, 2019          2018  TV-MA  162 min   \n",
       "\n",
       "                                                 listed_in  \\\n",
       "show_id                                                      \n",
       "81072516  Action & Adventure, Dramas, International Movies   \n",
       "\n",
       "                                                description  \n",
       "show_id                                                      \n",
       "81072516  A ruthless businessman’s mission to expose ele...  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data.duplicated() == True]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "7ab8df54",
   "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>type</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Norm of the North: King Sized Adventure</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Richard Finn, Tim Maltby</td>\n",
       "      <td>Alan Marriott, Andrew Toth, Brian Dobson, Cole...</td>\n",
       "      <td>United States, India, South Korea, China</td>\n",
       "      <td>September 9, 2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Children &amp; Family Movies, Comedies</td>\n",
       "      <td>Before planning an awesome wedding for his gra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jandino: Whatever it Takes</th>\n",
       "      <td>Movie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jandino Asporaat</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>September 9, 2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>94 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Jandino Asporaat riffs on the challenges of ra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transformers Prime</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Peter Cullen, Sumalee Montano, Frank Welker, J...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2018</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-Y7-FV</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>With the help of three human allies, the Autob...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transformers: Robots in Disguise</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Will Friedle, Darren Criss, Constance Zimmer, ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2018</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>When a prison ship crash unleashes hundreds of...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>#realityhigh</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Fernando Lebrija</td>\n",
       "      <td>Nesta Cooper, Kate Walsh, John Michael Higgins...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>99 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>When nerdy high schooler Dani finally attracts...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Red vs. Blue</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Burnie Burns, Jason Saldaña, Gustavo Sorola, G...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015</td>\n",
       "      <td>NR</td>\n",
       "      <td>13 Seasons</td>\n",
       "      <td>TV Action &amp; Adventure, TV Comedies, TV Sci-Fi ...</td>\n",
       "      <td>This parody of first-person shooter games, mil...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maron</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Marc Maron, Judd Hirsch, Josh Brener, Nora Zeh...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>TV Comedies</td>\n",
       "      <td>Marc Maron stars as Marc Maron, who interviews...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Little Baby Bum: Nursery Rhyme Friends</th>\n",
       "      <td>Movie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60 min</td>\n",
       "      <td>Movies</td>\n",
       "      <td>Nursery rhymes and original music for children...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A Young Doctor's Notebook and Other Stories</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Daniel Radcliffe, Jon Hamm, Adam Godley, Chris...</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>British TV Shows, TV Comedies, TV Dramas</td>\n",
       "      <td>Set during the Russian Revolution, this comic ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Friends</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jennifer Aniston, Courteney Cox, Lisa Kudrow, ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2003</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>10 Seasons</td>\n",
       "      <td>Classic &amp; Cult TV, TV Comedies</td>\n",
       "      <td>This hit sitcom follows the merry misadventure...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6233 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                type  \\\n",
       "title                                                  \n",
       "Norm of the North: King Sized Adventure        Movie   \n",
       "Jandino: Whatever it Takes                     Movie   \n",
       "Transformers Prime                           TV Show   \n",
       "Transformers: Robots in Disguise             TV Show   \n",
       "#realityhigh                                   Movie   \n",
       "...                                              ...   \n",
       "Red vs. Blue                                 TV Show   \n",
       "Maron                                        TV Show   \n",
       "Little Baby Bum: Nursery Rhyme Friends         Movie   \n",
       "A Young Doctor's Notebook and Other Stories  TV Show   \n",
       "Friends                                      TV Show   \n",
       "\n",
       "                                                             director  \\\n",
       "title                                                                   \n",
       "Norm of the North: King Sized Adventure      Richard Finn, Tim Maltby   \n",
       "Jandino: Whatever it Takes                                        NaN   \n",
       "Transformers Prime                                                NaN   \n",
       "Transformers: Robots in Disguise                                  NaN   \n",
       "#realityhigh                                         Fernando Lebrija   \n",
       "...                                                               ...   \n",
       "Red vs. Blue                                                      NaN   \n",
       "Maron                                                             NaN   \n",
       "Little Baby Bum: Nursery Rhyme Friends                            NaN   \n",
       "A Young Doctor's Notebook and Other Stories                       NaN   \n",
       "Friends                                                           NaN   \n",
       "\n",
       "                                                                                          cast  \\\n",
       "title                                                                                            \n",
       "Norm of the North: King Sized Adventure      Alan Marriott, Andrew Toth, Brian Dobson, Cole...   \n",
       "Jandino: Whatever it Takes                                                    Jandino Asporaat   \n",
       "Transformers Prime                           Peter Cullen, Sumalee Montano, Frank Welker, J...   \n",
       "Transformers: Robots in Disguise             Will Friedle, Darren Criss, Constance Zimmer, ...   \n",
       "#realityhigh                                 Nesta Cooper, Kate Walsh, John Michael Higgins...   \n",
       "...                                                                                        ...   \n",
       "Red vs. Blue                                 Burnie Burns, Jason Saldaña, Gustavo Sorola, G...   \n",
       "Maron                                        Marc Maron, Judd Hirsch, Josh Brener, Nora Zeh...   \n",
       "Little Baby Bum: Nursery Rhyme Friends                                                     NaN   \n",
       "A Young Doctor's Notebook and Other Stories  Daniel Radcliffe, Jon Hamm, Adam Godley, Chris...   \n",
       "Friends                                      Jennifer Aniston, Courteney Cox, Lisa Kudrow, ...   \n",
       "\n",
       "                                                                              country  \\\n",
       "title                                                                                   \n",
       "Norm of the North: King Sized Adventure      United States, India, South Korea, China   \n",
       "Jandino: Whatever it Takes                                             United Kingdom   \n",
       "Transformers Prime                                                      United States   \n",
       "Transformers: Robots in Disguise                                        United States   \n",
       "#realityhigh                                                            United States   \n",
       "...                                                                               ...   \n",
       "Red vs. Blue                                                            United States   \n",
       "Maron                                                                   United States   \n",
       "Little Baby Bum: Nursery Rhyme Friends                                            NaN   \n",
       "A Young Doctor's Notebook and Other Stories                            United Kingdom   \n",
       "Friends                                                                 United States   \n",
       "\n",
       "                                                    date_added  release_year  \\\n",
       "title                                                                          \n",
       "Norm of the North: King Sized Adventure      September 9, 2019          2019   \n",
       "Jandino: Whatever it Takes                   September 9, 2016          2016   \n",
       "Transformers Prime                           September 8, 2018          2013   \n",
       "Transformers: Robots in Disguise             September 8, 2018          2016   \n",
       "#realityhigh                                 September 8, 2017          2017   \n",
       "...                                                        ...           ...   \n",
       "Red vs. Blue                                               NaN          2015   \n",
       "Maron                                                      NaN          2016   \n",
       "Little Baby Bum: Nursery Rhyme Friends                     NaN          2016   \n",
       "A Young Doctor's Notebook and Other Stories                NaN          2013   \n",
       "Friends                                                    NaN          2003   \n",
       "\n",
       "                                               rating    duration  \\\n",
       "title                                                               \n",
       "Norm of the North: King Sized Adventure         TV-PG      90 min   \n",
       "Jandino: Whatever it Takes                      TV-MA      94 min   \n",
       "Transformers Prime                           TV-Y7-FV    1 Season   \n",
       "Transformers: Robots in Disguise                TV-Y7    1 Season   \n",
       "#realityhigh                                    TV-14      99 min   \n",
       "...                                               ...         ...   \n",
       "Red vs. Blue                                       NR  13 Seasons   \n",
       "Maron                                           TV-MA   4 Seasons   \n",
       "Little Baby Bum: Nursery Rhyme Friends            NaN      60 min   \n",
       "A Young Doctor's Notebook and Other Stories     TV-MA   2 Seasons   \n",
       "Friends                                         TV-14  10 Seasons   \n",
       "\n",
       "                                                                                     listed_in  \\\n",
       "title                                                                                            \n",
       "Norm of the North: King Sized Adventure                     Children & Family Movies, Comedies   \n",
       "Jandino: Whatever it Takes                                                     Stand-Up Comedy   \n",
       "Transformers Prime                                                                    Kids' TV   \n",
       "Transformers: Robots in Disguise                                                      Kids' TV   \n",
       "#realityhigh                                                                          Comedies   \n",
       "...                                                                                        ...   \n",
       "Red vs. Blue                                 TV Action & Adventure, TV Comedies, TV Sci-Fi ...   \n",
       "Maron                                                                              TV Comedies   \n",
       "Little Baby Bum: Nursery Rhyme Friends                                                  Movies   \n",
       "A Young Doctor's Notebook and Other Stories           British TV Shows, TV Comedies, TV Dramas   \n",
       "Friends                                                         Classic & Cult TV, TV Comedies   \n",
       "\n",
       "                                                                                   description  \n",
       "title                                                                                           \n",
       "Norm of the North: King Sized Adventure      Before planning an awesome wedding for his gra...  \n",
       "Jandino: Whatever it Takes                   Jandino Asporaat riffs on the challenges of ra...  \n",
       "Transformers Prime                           With the help of three human allies, the Autob...  \n",
       "Transformers: Robots in Disguise             When a prison ship crash unleashes hundreds of...  \n",
       "#realityhigh                                 When nerdy high schooler Dani finally attracts...  \n",
       "...                                                                                        ...  \n",
       "Red vs. Blue                                 This parody of first-person shooter games, mil...  \n",
       "Maron                                        Marc Maron stars as Marc Maron, who interviews...  \n",
       "Little Baby Bum: Nursery Rhyme Friends       Nursery rhymes and original music for children...  \n",
       "A Young Doctor's Notebook and Other Stories  Set during the Russian Revolution, this comic ...  \n",
       "Friends                                      This hit sitcom follows the merry misadventure...  \n",
       "\n",
       "[6233 rows x 10 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_wo_duplicates = data.drop_duplicates()\n",
    "data_wo_duplicates.set_index('title')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "813c5c5c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 1482 movies produced in United States.\n",
      "There are 550 TV Shows produced in United States.\n"
     ]
    }
   ],
   "source": [
    "# 8 # Count Movie & TV Show produced in US and France\n",
    "print(\"There are\", data_Movie[(data_Movie[\"country\"] == \"United States\")].shape[0], \"movies produced in United States.\")\n",
    "print(\"There are\", data_TVShow[(data_TVShow[\"country\"] == \"United States\")].shape[0], \"TV Shows produced in United States.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "82a32ec5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 50 movies produced in France.\n",
      "There are 40 TV Shows produced in France.\n"
     ]
    }
   ],
   "source": [
    "print(\"There are\", data_Movie[(data_Movie[\"country\"] == \"France\")].shape[0], \"movies produced in France.\")\n",
    "print(\"There are\", data_TVShow[(data_TVShow[\"country\"] == \"France\")].shape[0], \"TV Shows produced in France.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "9a9d6112",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The oldest content available in Netflix has been produced in year: 1925\n"
     ]
    }
   ],
   "source": [
    "# 9 # The older content available in Netflix\n",
    "print(\"The oldest content available in Netflix has been produced in year:\", data.loc[:,'release_year'].min())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "9200df11",
   "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>type</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Pioneers: First Women Filmmakers*</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>December 30, 2018</td>\n",
       "      <td>1925</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>TV Shows</td>\n",
       "      <td>This collection restores films from women who ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      type director cast country  \\\n",
       "title                                                              \n",
       "Pioneers: First Women Filmmakers*  TV Show      NaN  NaN     NaN   \n",
       "\n",
       "                                          date_added  release_year rating  \\\n",
       "title                                                                       \n",
       "Pioneers: First Women Filmmakers*  December 30, 2018          1925  TV-PG   \n",
       "\n",
       "                                   duration listed_in  \\\n",
       "title                                                   \n",
       "Pioneers: First Women Filmmakers*  1 Season  TV Shows   \n",
       "\n",
       "                                                                         description  \n",
       "title                                                                                 \n",
       "Pioneers: First Women Filmmakers*  This collection restores films from women who ...  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['release_year'] == data.loc[:,'release_year'].min()].set_index('title')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "f1f1bc01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title\n",
       "Norm of the North: King Sized Adventure            90 min\n",
       "Jandino: Whatever it Takes                         94 min\n",
       "Transformers Prime                               1 Season\n",
       "Transformers: Robots in Disguise                 1 Season\n",
       "#realityhigh                                       99 min\n",
       "                                                  ...    \n",
       "Red vs. Blue                                   13 Seasons\n",
       "Maron                                           4 Seasons\n",
       "Little Baby Bum: Nursery Rhyme Friends             60 min\n",
       "A Young Doctor's Notebook and Other Stories     2 Seasons\n",
       "Friends                                        10 Seasons\n",
       "Name: duration, Length: 6234, dtype: object"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 10 # The longer movie in Netflix\n",
    "data.set_index('title').loc[:,'duration']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "ca0d07c6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\phili\\AppData\\Local\\Temp/ipykernel_23448/1543076069.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data_Movie['Durée'] = data_Movie['duration']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\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>type</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "      <th>Durée</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Norm of the North: King Sized Adventure</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Richard Finn, Tim Maltby</td>\n",
       "      <td>Alan Marriott, Andrew Toth, Brian Dobson, Cole...</td>\n",
       "      <td>United States, India, South Korea, China</td>\n",
       "      <td>September 9, 2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Children &amp; Family Movies, Comedies</td>\n",
       "      <td>Before planning an awesome wedding for his gra...</td>\n",
       "      <td>90 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jandino: Whatever it Takes</th>\n",
       "      <td>Movie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jandino Asporaat</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>September 9, 2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>94 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Jandino Asporaat riffs on the challenges of ra...</td>\n",
       "      <td>94 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>#realityhigh</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Fernando Lebrija</td>\n",
       "      <td>Nesta Cooper, Kate Walsh, John Michael Higgins...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>99 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>When nerdy high schooler Dani finally attracts...</td>\n",
       "      <td>99 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Automata</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Gabe Ibáñez</td>\n",
       "      <td>Antonio Banderas, Dylan McDermott, Melanie Gri...</td>\n",
       "      <td>Bulgaria, United States, Spain, Canada</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2014</td>\n",
       "      <td>R</td>\n",
       "      <td>110 min</td>\n",
       "      <td>International Movies, Sci-Fi &amp; Fantasy, Thrillers</td>\n",
       "      <td>In a dystopian future, an insurance adjuster f...</td>\n",
       "      <td>110 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fabrizio Copano: Solo pienso en mi</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Rodrigo Toro, Francisco Schultz</td>\n",
       "      <td>Fabrizio Copano</td>\n",
       "      <td>Chile</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>60 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Fabrizio Copano takes audience participation t...</td>\n",
       "      <td>60 min</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Frank and Cindy</th>\n",
       "      <td>Movie</td>\n",
       "      <td>G.J. Echternkamp</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</td>\n",
       "      <td>April 1, 2016</td>\n",
       "      <td>2007</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>70 min</td>\n",
       "      <td>Documentaries</td>\n",
       "      <td>Frank was a rising pop star when he married Ci...</td>\n",
       "      <td>70 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Frank and Cindy</th>\n",
       "      <td>Movie</td>\n",
       "      <td>G.J. Echternkamp</td>\n",
       "      <td>Rene Russo, Oliver Platt, Johnny Simmons, Jane...</td>\n",
       "      <td>United States</td>\n",
       "      <td>April 1, 2016</td>\n",
       "      <td>2015</td>\n",
       "      <td>R</td>\n",
       "      <td>102 min</td>\n",
       "      <td>Comedies, Dramas, Independent Movies</td>\n",
       "      <td>A student filmmaker vengefully turns his camer...</td>\n",
       "      <td>102 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iverson</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Zatella Beatty</td>\n",
       "      <td>Allen Iverson</td>\n",
       "      <td>United States</td>\n",
       "      <td>April 1, 2016</td>\n",
       "      <td>2014</td>\n",
       "      <td>NR</td>\n",
       "      <td>88 min</td>\n",
       "      <td>Documentaries, Sports Movies</td>\n",
       "      <td>This unfiltered documentary follows the rocky ...</td>\n",
       "      <td>88 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jeremy Scott: The People's Designer</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Vlad Yudin</td>\n",
       "      <td>Jeremy Scott</td>\n",
       "      <td>United States</td>\n",
       "      <td>April 1, 2016</td>\n",
       "      <td>2015</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>109 min</td>\n",
       "      <td>Documentaries</td>\n",
       "      <td>The journey of fashion designer Jeremy Scott f...</td>\n",
       "      <td>109 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Little Baby Bum: Nursery Rhyme Friends</th>\n",
       "      <td>Movie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60 min</td>\n",
       "      <td>Movies</td>\n",
       "      <td>Nursery rhymes and original music for children...</td>\n",
       "      <td>60 min</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4265 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          type  \\\n",
       "title                                            \n",
       "Norm of the North: King Sized Adventure  Movie   \n",
       "Jandino: Whatever it Takes               Movie   \n",
       "#realityhigh                             Movie   \n",
       "Automata                                 Movie   \n",
       "Fabrizio Copano: Solo pienso en mi       Movie   \n",
       "...                                        ...   \n",
       "Frank and Cindy                          Movie   \n",
       "Frank and Cindy                          Movie   \n",
       "Iverson                                  Movie   \n",
       "Jeremy Scott: The People's Designer      Movie   \n",
       "Little Baby Bum: Nursery Rhyme Friends   Movie   \n",
       "\n",
       "                                                                director  \\\n",
       "title                                                                      \n",
       "Norm of the North: King Sized Adventure         Richard Finn, Tim Maltby   \n",
       "Jandino: Whatever it Takes                                           NaN   \n",
       "#realityhigh                                            Fernando Lebrija   \n",
       "Automata                                                     Gabe Ibáñez   \n",
       "Fabrizio Copano: Solo pienso en mi       Rodrigo Toro, Francisco Schultz   \n",
       "...                                                                  ...   \n",
       "Frank and Cindy                                         G.J. Echternkamp   \n",
       "Frank and Cindy                                         G.J. Echternkamp   \n",
       "Iverson                                                   Zatella Beatty   \n",
       "Jeremy Scott: The People's Designer                           Vlad Yudin   \n",
       "Little Baby Bum: Nursery Rhyme Friends                               NaN   \n",
       "\n",
       "                                                                                      cast  \\\n",
       "title                                                                                        \n",
       "Norm of the North: King Sized Adventure  Alan Marriott, Andrew Toth, Brian Dobson, Cole...   \n",
       "Jandino: Whatever it Takes                                                Jandino Asporaat   \n",
       "#realityhigh                             Nesta Cooper, Kate Walsh, John Michael Higgins...   \n",
       "Automata                                 Antonio Banderas, Dylan McDermott, Melanie Gri...   \n",
       "Fabrizio Copano: Solo pienso en mi                                         Fabrizio Copano   \n",
       "...                                                                                    ...   \n",
       "Frank and Cindy                                                                        NaN   \n",
       "Frank and Cindy                          Rene Russo, Oliver Platt, Johnny Simmons, Jane...   \n",
       "Iverson                                                                      Allen Iverson   \n",
       "Jeremy Scott: The People's Designer                                           Jeremy Scott   \n",
       "Little Baby Bum: Nursery Rhyme Friends                                                 NaN   \n",
       "\n",
       "                                                                          country  \\\n",
       "title                                                                               \n",
       "Norm of the North: King Sized Adventure  United States, India, South Korea, China   \n",
       "Jandino: Whatever it Takes                                         United Kingdom   \n",
       "#realityhigh                                                        United States   \n",
       "Automata                                   Bulgaria, United States, Spain, Canada   \n",
       "Fabrizio Copano: Solo pienso en mi                                          Chile   \n",
       "...                                                                           ...   \n",
       "Frank and Cindy                                                     United States   \n",
       "Frank and Cindy                                                     United States   \n",
       "Iverson                                                             United States   \n",
       "Jeremy Scott: The People's Designer                                 United States   \n",
       "Little Baby Bum: Nursery Rhyme Friends                                        NaN   \n",
       "\n",
       "                                                date_added  release_year  \\\n",
       "title                                                                      \n",
       "Norm of the North: King Sized Adventure  September 9, 2019          2019   \n",
       "Jandino: Whatever it Takes               September 9, 2016          2016   \n",
       "#realityhigh                             September 8, 2017          2017   \n",
       "Automata                                 September 8, 2017          2014   \n",
       "Fabrizio Copano: Solo pienso en mi       September 8, 2017          2017   \n",
       "...                                                    ...           ...   \n",
       "Frank and Cindy                              April 1, 2016          2007   \n",
       "Frank and Cindy                              April 1, 2016          2015   \n",
       "Iverson                                      April 1, 2016          2014   \n",
       "Jeremy Scott: The People's Designer          April 1, 2016          2015   \n",
       "Little Baby Bum: Nursery Rhyme Friends                 NaN          2016   \n",
       "\n",
       "                                        rating duration  \\\n",
       "title                                                     \n",
       "Norm of the North: King Sized Adventure  TV-PG   90 min   \n",
       "Jandino: Whatever it Takes               TV-MA   94 min   \n",
       "#realityhigh                             TV-14   99 min   \n",
       "Automata                                     R  110 min   \n",
       "Fabrizio Copano: Solo pienso en mi       TV-MA   60 min   \n",
       "...                                        ...      ...   \n",
       "Frank and Cindy                          TV-MA   70 min   \n",
       "Frank and Cindy                              R  102 min   \n",
       "Iverson                                     NR   88 min   \n",
       "Jeremy Scott: The People's Designer      PG-13  109 min   \n",
       "Little Baby Bum: Nursery Rhyme Friends     NaN   60 min   \n",
       "\n",
       "                                                                                 listed_in  \\\n",
       "title                                                                                        \n",
       "Norm of the North: King Sized Adventure                 Children & Family Movies, Comedies   \n",
       "Jandino: Whatever it Takes                                                 Stand-Up Comedy   \n",
       "#realityhigh                                                                      Comedies   \n",
       "Automata                                 International Movies, Sci-Fi & Fantasy, Thrillers   \n",
       "Fabrizio Copano: Solo pienso en mi                                         Stand-Up Comedy   \n",
       "...                                                                                    ...   \n",
       "Frank and Cindy                                                              Documentaries   \n",
       "Frank and Cindy                                       Comedies, Dramas, Independent Movies   \n",
       "Iverson                                                       Documentaries, Sports Movies   \n",
       "Jeremy Scott: The People's Designer                                          Documentaries   \n",
       "Little Baby Bum: Nursery Rhyme Friends                                              Movies   \n",
       "\n",
       "                                                                               description  \\\n",
       "title                                                                                        \n",
       "Norm of the North: King Sized Adventure  Before planning an awesome wedding for his gra...   \n",
       "Jandino: Whatever it Takes               Jandino Asporaat riffs on the challenges of ra...   \n",
       "#realityhigh                             When nerdy high schooler Dani finally attracts...   \n",
       "Automata                                 In a dystopian future, an insurance adjuster f...   \n",
       "Fabrizio Copano: Solo pienso en mi       Fabrizio Copano takes audience participation t...   \n",
       "...                                                                                    ...   \n",
       "Frank and Cindy                          Frank was a rising pop star when he married Ci...   \n",
       "Frank and Cindy                          A student filmmaker vengefully turns his camer...   \n",
       "Iverson                                  This unfiltered documentary follows the rocky ...   \n",
       "Jeremy Scott: The People's Designer      The journey of fashion designer Jeremy Scott f...   \n",
       "Little Baby Bum: Nursery Rhyme Friends   Nursery rhymes and original music for children...   \n",
       "\n",
       "                                           Durée  \n",
       "title                                             \n",
       "Norm of the North: King Sized Adventure   90 min  \n",
       "Jandino: Whatever it Takes                94 min  \n",
       "#realityhigh                              99 min  \n",
       "Automata                                 110 min  \n",
       "Fabrizio Copano: Solo pienso en mi        60 min  \n",
       "...                                          ...  \n",
       "Frank and Cindy                           70 min  \n",
       "Frank and Cindy                          102 min  \n",
       "Iverson                                   88 min  \n",
       "Jeremy Scott: The People's Designer      109 min  \n",
       "Little Baby Bum: Nursery Rhyme Friends    60 min  \n",
       "\n",
       "[4265 rows x 11 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_Movie['Durée'] = data_Movie['duration']\n",
    "data_Movie.set_index('title')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "f5b6f922",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([80988062, 60002818, 60020906, 70090035, 80175798, 81035749,\n",
       "            70123118, 60004484,   449931, 70274390,\n",
       "            ...\n",
       "            80235766, 60027942, 81110498, 80149064, 81211714, 80239831,\n",
       "            80114804, 81020543, 81176188, 70304298],\n",
       "           dtype='int64', name='show_id', length=4265)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_Movie['Durée'].str.replace(\" min\",\"\").astype(int).sort_values(ascending=False).index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "311f2e07",
   "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>type</th>\n",
       "      <th>title</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "      <th>Durée</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>show_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>80988062</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Black Mirror: Bandersnatch</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fionn Whitehead, Will Poulter, Craig Parkinson...</td>\n",
       "      <td>United States</td>\n",
       "      <td>December 28, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>312 min</td>\n",
       "      <td>Dramas, International Movies, Sci-Fi &amp; Fantasy</td>\n",
       "      <td>In 1984, a young programmer begins to question...</td>\n",
       "      <td>312 min</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           type                       title director  \\\n",
       "show_id                                                \n",
       "80988062  Movie  Black Mirror: Bandersnatch      NaN   \n",
       "\n",
       "                                                       cast        country  \\\n",
       "show_id                                                                      \n",
       "80988062  Fionn Whitehead, Will Poulter, Craig Parkinson...  United States   \n",
       "\n",
       "                 date_added  release_year rating duration  \\\n",
       "show_id                                                     \n",
       "80988062  December 28, 2018          2018  TV-MA  312 min   \n",
       "\n",
       "                                               listed_in  \\\n",
       "show_id                                                    \n",
       "80988062  Dramas, International Movies, Sci-Fi & Fantasy   \n",
       "\n",
       "                                                description    Durée  \n",
       "show_id                                                               \n",
       "80988062  In 1984, a young programmer begins to question...  312 min  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_Movie[data_Movie.index == 80988062]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "1221f67a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title\n",
       "Norm of the North: King Sized Adventure                       Children & Family Movies, Comedies\n",
       "Jandino: Whatever it Takes                                                       Stand-Up Comedy\n",
       "Transformers Prime                                                                      Kids' TV\n",
       "Transformers: Robots in Disguise                                                        Kids' TV\n",
       "#realityhigh                                                                            Comedies\n",
       "                                                                     ...                        \n",
       "Red vs. Blue                                   TV Action & Adventure, TV Comedies, TV Sci-Fi ...\n",
       "Maron                                                                                TV Comedies\n",
       "Little Baby Bum: Nursery Rhyme Friends                                                    Movies\n",
       "A Young Doctor's Notebook and Other Stories             British TV Shows, TV Comedies, TV Dramas\n",
       "Friends                                                           Classic & Cult TV, TV Comedies\n",
       "Name: listed_in, Length: 6234, dtype: object"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 11 # Category with highest content\n",
    "data_listed_in = data.set_index('title')['listed_in']\n",
    "data_listed_in"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "f2dbcd15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Children & Family Movies',\n",
       " 'Comedies',\n",
       " 'Stand-Up Comedy',\n",
       " \"Kids' TV\",\n",
       " \"Kids' TV\",\n",
       " 'Comedies',\n",
       " 'Crime TV Shows',\n",
       " 'International TV Shows',\n",
       " 'Spanish-Language TV Shows',\n",
       " 'International Movies',\n",
       " 'Sci-Fi & Fantasy',\n",
       " 'Thrillers',\n",
       " 'Stand-Up Comedy',\n",
       " 'Docuseries',\n",
       " 'Science & Nature TV',\n",
       " 'Action & Adventure',\n",
       " 'Thrillers',\n",
       " 'Stand-Up Comedy',\n",
       " 'Action & Adventure',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Children & Family Movies',\n",
       " 'Children & Family Movies',\n",
       " 'Children & Family Movies',\n",
       " 'Children & Family Movies',\n",
       " 'Children & Family Movies',\n",
       " 'Children & Family Movies',\n",
       " 'Children & Family Movies',\n",
       " 'Cult Movies',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'Comedies',\n",
       " 'Independent Movies',\n",
       " 'Romantic Movies',\n",
       " 'Action & Adventure',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Documentaries',\n",
       " 'Horror Movies',\n",
       " 'Thrillers',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'Romantic Movies',\n",
       " 'International TV Shows',\n",
       " 'Romantic TV Shows',\n",
       " 'TV Comedies',\n",
       " 'Documentaries',\n",
       " 'Docuseries',\n",
       " 'Horror Movies',\n",
       " 'International Movies',\n",
       " 'Children & Family Movies',\n",
       " 'Comedies',\n",
       " 'Sci-Fi & Fantasy',\n",
       " 'Comedies',\n",
       " 'Romantic Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Thrillers',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'International Movies',\n",
       " \"Kids' TV\",\n",
       " 'TV Comedies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Thrillers',\n",
       " 'Comedies',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'TV Thrillers',\n",
       " 'Action & Adventure',\n",
       " 'Comedies',\n",
       " 'Independent Movies',\n",
       " 'Comedies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'Documentaries',\n",
       " 'Documentaries',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Horror Movies',\n",
       " 'International Movies',\n",
       " 'Horror Movies',\n",
       " 'International Movies',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Comedies',\n",
       " 'Dramas',\n",
       " 'Stand-Up Comedy',\n",
       " 'Romantic TV Shows',\n",
       " 'TV Comedies',\n",
       " 'TV Dramas',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'International Movies',\n",
       " 'Horror Movies',\n",
       " 'Dramas',\n",
       " 'Romantic Movies',\n",
       " 'Comedies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Sci-Fi & Fantasy',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Crime TV Shows',\n",
       " 'TV Dramas',\n",
       " 'TV Mysteries',\n",
       " 'Stand-Up Comedy',\n",
       " 'TV Comedies',\n",
       " \"Kids' TV\",\n",
       " 'Children & Family Movies',\n",
       " 'Dramas',\n",
       " 'Docuseries',\n",
       " 'Docuseries',\n",
       " 'Docuseries',\n",
       " 'Docuseries',\n",
       " \"Kids' TV\",\n",
       " 'TV Comedies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'British TV Shows',\n",
       " 'Docuseries',\n",
       " 'International TV Shows',\n",
       " 'Documentaries',\n",
       " 'International TV Shows',\n",
       " 'Romantic TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Action & Adventure',\n",
       " 'Action & Adventure',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'International Movies',\n",
       " 'Horror Movies',\n",
       " 'Thrillers',\n",
       " 'Documentaries',\n",
       " 'International TV Shows',\n",
       " 'TV Comedies',\n",
       " 'TV Dramas',\n",
       " 'Dramas',\n",
       " 'Romantic Movies',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'British TV Shows',\n",
       " 'Docuseries',\n",
       " 'International TV Shows',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Children & Family Movies',\n",
       " 'Music & Musicals',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'International Movies',\n",
       " 'Thrillers',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'International Movies',\n",
       " 'Sci-Fi & Fantasy',\n",
       " 'Action & Adventure',\n",
       " 'Dramas',\n",
       " 'Documentaries',\n",
       " 'International TV Shows',\n",
       " 'Reality TV',\n",
       " 'Spanish-Language TV Shows',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Horror Movies',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'Documentaries',\n",
       " 'International TV Shows',\n",
       " 'TV Action & Adventure',\n",
       " 'TV Dramas',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " \"Kids' TV\",\n",
       " 'TV Comedies',\n",
       " 'Dramas',\n",
       " 'Sci-Fi & Fantasy',\n",
       " 'Thrillers',\n",
       " 'Crime TV Shows',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Anime Features',\n",
       " 'Music & Musicals',\n",
       " 'Sci-Fi & Fantasy',\n",
       " 'TV Comedies',\n",
       " 'TV Dramas',\n",
       " 'Teen TV Shows',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'International Movies',\n",
       " 'Children & Family Movies',\n",
       " 'Dramas',\n",
       " 'Faith & Spirituality',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Action & Adventure',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Crime TV Shows',\n",
       " 'International TV Shows',\n",
       " 'Spanish-Language TV Shows',\n",
       " 'Action & Adventure',\n",
       " 'Stand-Up Comedy',\n",
       " 'Documentaries',\n",
       " 'Documentaries',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Children & Family Movies',\n",
       " 'Comedies',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Music & Musicals',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Music & Musicals',\n",
       " 'Action & Adventure',\n",
       " 'Children & Family Movies',\n",
       " 'Documentaries',\n",
       " 'Comedies',\n",
       " 'Independent Movies',\n",
       " 'Thrillers',\n",
       " 'Action & Adventure',\n",
       " 'Stand-Up Comedy',\n",
       " 'Action & Adventure',\n",
       " 'International Movies',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Comedies',\n",
       " 'Horror Movies',\n",
       " 'International Movies',\n",
       " 'Comedies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " \"Kids' TV\",\n",
       " 'TV Comedies',\n",
       " 'Comedies',\n",
       " 'Independent Movies',\n",
       " 'Romantic Movies',\n",
       " 'Documentaries',\n",
       " 'Stand-Up Comedy',\n",
       " 'TV Comedies',\n",
       " 'TV Dramas',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'International Movies',\n",
       " 'Documentaries',\n",
       " 'Music & Musicals',\n",
       " 'Independent Movies',\n",
       " 'International Movies',\n",
       " 'Thrillers',\n",
       " 'Documentaries',\n",
       " 'Music & Musicals',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'Thrillers',\n",
       " 'Comedies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'International TV Shows',\n",
       " 'Korean TV Shows',\n",
       " 'TV Action & Adventure',\n",
       " 'Reality TV',\n",
       " 'Science & Nature TV',\n",
       " 'TV Action & Adventure',\n",
       " 'Anime Series',\n",
       " 'International TV Shows',\n",
       " \"Kids' TV\",\n",
       " 'TV Comedies',\n",
       " 'TV Dramas',\n",
       " 'TV Mysteries',\n",
       " 'Documentaries',\n",
       " 'Music & Musicals',\n",
       " 'Stand-Up Comedy',\n",
       " 'Crime TV Shows',\n",
       " 'TV Comedies',\n",
       " 'TV Dramas',\n",
       " 'Comedies',\n",
       " 'Crime TV Shows',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Crime TV Shows',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Crime TV Shows',\n",
       " 'International TV Shows',\n",
       " 'Spanish-Language TV Shows',\n",
       " 'British TV Shows',\n",
       " 'Crime TV Shows',\n",
       " 'International TV Shows',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'LGBTQ Movies',\n",
       " 'Docuseries',\n",
       " 'Science & Nature TV',\n",
       " 'International TV Shows',\n",
       " 'TV Comedies',\n",
       " 'TV Dramas',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Children & Family Movies',\n",
       " 'TV Horror',\n",
       " 'Teen TV Shows',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Anime Series',\n",
       " 'International TV Shows',\n",
       " 'Action & Adventure',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'Documentaries',\n",
       " 'Crime TV Shows',\n",
       " 'International TV Shows',\n",
       " 'TV Action & Adventure',\n",
       " 'Action & Adventure',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Comedies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'Thrillers',\n",
       " 'Docuseries',\n",
       " \"Kids' TV\",\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'Independent Movies',\n",
       " 'Sci-Fi & Fantasy',\n",
       " 'Thrillers',\n",
       " \"Kids' TV\",\n",
       " 'Stand-Up Comedy',\n",
       " 'Crime TV Shows',\n",
       " 'TV Dramas',\n",
       " 'TV Mysteries',\n",
       " 'Stand-Up Comedy',\n",
       " 'Stand-Up Comedy',\n",
       " 'Stand-Up Comedy',\n",
       " 'Stand-Up Comedy',\n",
       " 'Stand-Up Comedy',\n",
       " 'Stand-Up Comedy',\n",
       " 'Dramas',\n",
       " 'Thrillers',\n",
       " 'International TV Shows',\n",
       " 'Korean TV Shows',\n",
       " 'Romantic TV Shows',\n",
       " 'Comedies',\n",
       " 'Children & Family Movies',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Documentaries',\n",
       " 'Music & Musicals',\n",
       " 'Horror Movies',\n",
       " 'Independent Movies',\n",
       " 'Docuseries',\n",
       " 'Science & Nature TV',\n",
       " 'Action & Adventure',\n",
       " 'Documentaries',\n",
       " 'Music & Musicals',\n",
       " 'Action & Adventure',\n",
       " 'International Movies',\n",
       " 'Stand-Up Comedy',\n",
       " \"Kids' TV\",\n",
       " 'TV Comedies',\n",
       " 'Horror Movies',\n",
       " 'Independent Movies',\n",
       " 'British TV Shows',\n",
       " 'Crime TV Shows',\n",
       " 'Docuseries',\n",
       " 'Action & Adventure',\n",
       " 'Dramas',\n",
       " 'Horror Movies',\n",
       " 'Thrillers',\n",
       " 'Action & Adventure',\n",
       " 'Comedies',\n",
       " 'Cult Movies',\n",
       " 'International Movies',\n",
       " 'Sci-Fi & Fantasy',\n",
       " 'Thrillers',\n",
       " 'Stand-Up Comedy',\n",
       " 'Movies',\n",
       " 'Documentaries',\n",
       " 'Documentaries',\n",
       " 'Docuseries',\n",
       " 'Anime Series',\n",
       " \"Kids' TV\",\n",
       " 'Crime TV Shows',\n",
       " 'Docuseries',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'Music & Musicals',\n",
       " 'Reality TV',\n",
       " 'Documentaries',\n",
       " 'Docuseries',\n",
       " 'Docuseries',\n",
       " 'Movies',\n",
       " 'Reality TV',\n",
       " 'Docuseries',\n",
       " 'Science & Nature TV',\n",
       " 'Crime TV Shows',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Comedies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'British TV Shows',\n",
       " 'International TV Shows',\n",
       " 'Reality TV',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'British TV Shows',\n",
       " 'International TV Shows',\n",
       " 'Reality TV',\n",
       " 'British TV Shows',\n",
       " 'Docuseries',\n",
       " 'International TV Shows',\n",
       " 'Documentaries',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Horror Movies',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Comedies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Action & Adventure',\n",
       " 'Independent Movies',\n",
       " 'Documentaries',\n",
       " 'British TV Shows',\n",
       " 'Crime TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Comedies',\n",
       " 'Documentaries',\n",
       " 'Music & Musicals',\n",
       " 'Docuseries',\n",
       " 'International TV Shows',\n",
       " 'Documentaries',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Music & Musicals',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'Thrillers',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'International TV Shows',\n",
       " 'Romantic TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Action & Adventure',\n",
       " 'International Movies',\n",
       " 'Sci-Fi & Fantasy',\n",
       " 'Docuseries',\n",
       " 'International TV Shows',\n",
       " 'Spanish-Language TV Shows',\n",
       " 'Reality TV',\n",
       " 'Stand-Up Comedy & Talk Shows',\n",
       " 'TV Comedies',\n",
       " 'Horror Movies',\n",
       " 'International Movies',\n",
       " \"Kids' TV\",\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Thrillers',\n",
       " 'Comedies',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'International TV Shows',\n",
       " 'Romantic TV Shows',\n",
       " 'TV Action & Adventure',\n",
       " 'Dramas',\n",
       " 'Thrillers',\n",
       " 'Horror Movies',\n",
       " 'Independent Movies',\n",
       " 'Documentaries',\n",
       " 'Anime Series',\n",
       " 'International TV Shows',\n",
       " 'TV Horror',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'TV Horror',\n",
       " 'International TV Shows',\n",
       " 'Spanish-Language TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Children & Family Movies',\n",
       " 'Comedies',\n",
       " 'Romantic Movies',\n",
       " 'Action & Adventure',\n",
       " 'Sci-Fi & Fantasy',\n",
       " 'British TV Shows',\n",
       " 'Crime TV Shows',\n",
       " 'International TV Shows',\n",
       " 'Crime TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Documentaries',\n",
       " 'Documentaries',\n",
       " 'Documentaries',\n",
       " 'TV Action & Adventure',\n",
       " 'TV Dramas',\n",
       " 'TV Sci-Fi & Fantasy',\n",
       " 'Docuseries',\n",
       " 'Science & Nature TV',\n",
       " 'Children & Family Movies',\n",
       " 'Comedies',\n",
       " 'International TV Shows',\n",
       " 'Korean TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Documentaries',\n",
       " 'Stand-Up Comedy',\n",
       " 'Stand-Up Comedy & Talk Shows',\n",
       " 'TV Comedies',\n",
       " 'Docuseries',\n",
       " \"Kids' TV\",\n",
       " 'Science & Nature TV',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Horror Movies',\n",
       " 'Stand-Up Comedy',\n",
       " 'Dramas',\n",
       " 'Romantic Movies',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'International TV Shows',\n",
       " 'Reality TV',\n",
       " 'Thrillers',\n",
       " 'Comedies',\n",
       " 'Independent Movies',\n",
       " 'Thrillers',\n",
       " 'Comedies',\n",
       " 'Cult Movies',\n",
       " 'Dramas',\n",
       " 'Action & Adventure',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Documentaries',\n",
       " 'Children & Family Movies',\n",
       " 'Comedies',\n",
       " 'Romantic Movies',\n",
       " \"Kids' TV\",\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Comedies',\n",
       " 'Dramas',\n",
       " 'Dramas',\n",
       " 'Thrillers',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Thrillers',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'International Movies',\n",
       " 'Children & Family Movies',\n",
       " 'Comedies',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Action & Adventure',\n",
       " 'Dramas',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'British TV Shows',\n",
       " 'Crime TV Shows',\n",
       " 'Docuseries',\n",
       " 'Children & Family Movies',\n",
       " 'Classic Movies',\n",
       " 'Comedies',\n",
       " 'Cult Movies',\n",
       " 'Comedies',\n",
       " 'Cult Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Thrillers',\n",
       " 'Dramas',\n",
       " 'Romantic Movies',\n",
       " 'Sci-Fi & Fantasy',\n",
       " 'Horror Movies',\n",
       " 'Independent Movies',\n",
       " 'Thrillers',\n",
       " 'Action & Adventure',\n",
       " 'Romantic Movies',\n",
       " 'Action & Adventure',\n",
       " \"Kids' TV\",\n",
       " \"Kids' TV\",\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Comedies',\n",
       " 'Crime TV Shows',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'Sports Movies',\n",
       " 'Independent Movies',\n",
       " 'Thrillers',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Thrillers',\n",
       " 'Horror Movies',\n",
       " 'Thrillers',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'International Movies',\n",
       " 'Children & Family Movies',\n",
       " 'Comedies',\n",
       " 'Dramas',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'International Movies',\n",
       " 'Comedies',\n",
       " 'Cult Movies',\n",
       " 'Horror Movies',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'International Movies',\n",
       " 'Comedies',\n",
       " 'Horror Movies',\n",
       " 'International Movies',\n",
       " 'International TV Shows',\n",
       " 'TV Comedies',\n",
       " 'TV Dramas',\n",
       " 'Comedies',\n",
       " 'Independent Movies',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Sports Movies',\n",
       " 'Horror Movies',\n",
       " 'Horror Movies',\n",
       " 'Independent Movies',\n",
       " 'Thrillers',\n",
       " 'Dramas',\n",
       " 'Thrillers',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'Sports Movies',\n",
       " 'Horror Movies',\n",
       " 'International Movies',\n",
       " 'Thrillers',\n",
       " 'Action & Adventure',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Children & Family Movies',\n",
       " 'International TV Shows',\n",
       " 'TV Comedies',\n",
       " 'TV Dramas',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'TV Horror',\n",
       " 'Action & Adventure',\n",
       " 'International Movies',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'TV Horror',\n",
       " 'Action & Adventure',\n",
       " 'Anime Features',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Anime Features',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'Sports Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Music & Musicals',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Anime Series',\n",
       " 'International TV Shows',\n",
       " 'Docuseries',\n",
       " 'Reality TV',\n",
       " 'Documentaries',\n",
       " 'Action & Adventure',\n",
       " 'Anime Features',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Anime Features',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Anime Features',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'International Movies',\n",
       " \"Kids' TV\",\n",
       " 'Comedies',\n",
       " 'Horror Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Sports Movies',\n",
       " 'International TV Shows',\n",
       " 'TV Comedies',\n",
       " 'TV Dramas',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Music & Musicals',\n",
       " 'Action & Adventure',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Anime Features',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Anime Features',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Anime Features',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Anime Features',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Anime Features',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Anime Features',\n",
       " 'International Movies',\n",
       " 'Action & Adventure',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Documentaries',\n",
       " 'Sports Movies',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'Classic Movies',\n",
       " 'Comedies',\n",
       " 'Independent Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Comedies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Thrillers',\n",
       " 'Children & Family Movies',\n",
       " 'Comedies',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " \"Kids' TV\",\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'Documentaries',\n",
       " 'LGBTQ Movies',\n",
       " 'Music & Musicals',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'British TV Shows',\n",
       " 'Docuseries',\n",
       " 'British TV Shows',\n",
       " 'TV Horror',\n",
       " 'TV Thrillers',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'International Movies',\n",
       " 'International TV Shows',\n",
       " 'Romantic TV Shows',\n",
       " 'TV Comedies',\n",
       " 'Children & Family Movies',\n",
       " 'Comedies',\n",
       " 'Children & Family Movies',\n",
       " 'Dramas',\n",
       " 'Sports Movies',\n",
       " 'International TV Shows',\n",
       " 'TV Comedies',\n",
       " 'TV Dramas',\n",
       " 'Documentaries',\n",
       " 'International TV Shows',\n",
       " 'Romantic TV Shows',\n",
       " 'TV Comedies',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Documentaries',\n",
       " 'International TV Shows',\n",
       " 'TV Comedies',\n",
       " 'TV Dramas',\n",
       " 'International TV Shows',\n",
       " 'Romantic TV Shows',\n",
       " 'TV Dramas',\n",
       " 'International TV Shows',\n",
       " 'Romantic TV Shows',\n",
       " 'TV Comedies',\n",
       " 'International TV Shows',\n",
       " 'Romantic TV Shows',\n",
       " 'TV Comedies',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'British TV Shows',\n",
       " 'Crime TV Shows',\n",
       " 'Docuseries',\n",
       " 'Stand-Up Comedy',\n",
       " 'Dramas',\n",
       " 'Romantic Movies',\n",
       " 'Dramas',\n",
       " 'Thrillers',\n",
       " 'Reality TV',\n",
       " 'Children & Family Movies',\n",
       " 'Dramas',\n",
       " 'Sports Movies',\n",
       " 'Stand-Up Comedy',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Documentaries',\n",
       " 'International Movies',\n",
       " 'Stand-Up Comedy',\n",
       " 'Children & Family Movies',\n",
       " 'Comedies',\n",
       " 'Action & Adventure',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Documentaries',\n",
       " 'Music & Musicals',\n",
       " 'Documentaries',\n",
       " 'Stand-Up Comedy',\n",
       " \"Kids' TV\",\n",
       " 'Action & Adventure',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Comedies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Horror Movies',\n",
       " 'Anime Series',\n",
       " 'International TV Shows',\n",
       " 'Action & Adventure',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Documentaries',\n",
       " 'LGBTQ Movies',\n",
       " \"Kids' TV\",\n",
       " 'International TV Shows',\n",
       " 'Korean TV Shows',\n",
       " 'TV Action & Adventure',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'International Movies',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Sports Movies',\n",
       " 'Reality TV',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Docuseries',\n",
       " 'Anime Series',\n",
       " 'International TV Shows',\n",
       " 'Horror Movies',\n",
       " 'Thrillers',\n",
       " 'Comedies',\n",
       " 'Dramas',\n",
       " 'Independent Movies',\n",
       " 'Children & Family Movies',\n",
       " 'International TV Shows',\n",
       " 'Korean TV Shows',\n",
       " 'TV Comedies',\n",
       " 'Documentaries',\n",
       " 'Comedies',\n",
       " 'International Movies',\n",
       " 'Romantic Movies',\n",
       " 'Horror Movies',\n",
       " 'Thrillers',\n",
       " 'Children & Family Movies',\n",
       " 'Comedies',\n",
       " \"Kids' TV\",\n",
       " 'TV Action & Adventure',\n",
       " 'TV Dramas',\n",
       " 'Children & Family Movies',\n",
       " 'Dramas',\n",
       " 'Thrillers',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Horror Movies',\n",
       " 'Thrillers',\n",
       " 'Anime Series',\n",
       " 'International TV Shows',\n",
       " 'Romantic TV Shows',\n",
       " 'Children & Family Movies',\n",
       " 'Comedies',\n",
       " 'Stand-Up Comedy',\n",
       " 'Crime TV Shows',\n",
       " 'International TV Shows',\n",
       " 'TV Action & Adventure',\n",
       " 'Crime TV Shows',\n",
       " 'International TV Shows',\n",
       " 'TV Dramas',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " 'Thrillers',\n",
       " 'Dramas',\n",
       " 'International Movies',\n",
       " ...]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\", \".join(data_wo_duplicates[\"listed_in\"].dropna()).split(\", \") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "a5e59185",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "International Movies      1926\n",
       "Dramas                    1622\n",
       "Comedies                  1113\n",
       "International TV Shows    1001\n",
       "Documentaries              668\n",
       "dtype: int64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categories = pd.Series(\", \".join(data_wo_duplicates[\"listed_in\"].dropna()).split(\", \"))\n",
    "#\n",
    "categories.value_counts().head() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "e5202b1e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "g = sns.countplot(y = categories, order=categories.value_counts().index[:20])\n",
    "plt.title('Top 20 Genres on Netflix')\n",
    "plt.xlabel('Titles')\n",
    "plt.ylabel('Genres')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "5ab723c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title\n",
       "Norm of the North: King Sized Adventure        Richard Finn, Tim Maltby\n",
       "Jandino: Whatever it Takes                                          NaN\n",
       "Transformers Prime                                                  NaN\n",
       "Transformers: Robots in Disguise                                    NaN\n",
       "#realityhigh                                           Fernando Lebrija\n",
       "                                                         ...           \n",
       "Red vs. Blue                                                        NaN\n",
       "Maron                                                               NaN\n",
       "Little Baby Bum: Nursery Rhyme Friends                              NaN\n",
       "A Young Doctor's Notebook and Other Stories                         NaN\n",
       "Friends                                                             NaN\n",
       "Name: director, Length: 6234, dtype: object"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 12 # Directors with highest number of movies\n",
    "data_director = data.set_index('title')['director']\n",
    "data_director"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "9a392a59",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Richard Finn',\n",
       " 'Tim Maltby',\n",
       " 'Fernando Lebrija',\n",
       " 'Gabe Ibáñez',\n",
       " 'Rodrigo Toro',\n",
       " 'Francisco Schultz',\n",
       " 'Henrik Ruben Genz',\n",
       " 'José Miguel Contreras',\n",
       " 'Daniel Alfredson',\n",
       " 'Munjal Shroff',\n",
       " 'Tilak Shetty',\n",
       " 'Munjal Shroff',\n",
       " 'Tilak Shetty',\n",
       " 'Tilak Shetty',\n",
       " 'Tilak Shetty',\n",
       " 'Munjal Shroff',\n",
       " 'Tilak Shetty',\n",
       " 'Gaspar Noé',\n",
       " \"Tom O'Brien\",\n",
       " 'Antoine Bardou-Jacquet',\n",
       " 'Mitch Dickman',\n",
       " 'Brad Anderson',\n",
       " 'Austin Stark',\n",
       " 'Hannah Fidell',\n",
       " 'Madeleine Gavin',\n",
       " 'Sopon Sukdapisit',\n",
       " 'Kevin R. Adams',\n",
       " 'Joe Ksander',\n",
       " 'Ian Samuels',\n",
       " 'Franck Ribière',\n",
       " 'Daniele Thompson',\n",
       " 'Anubhav Sinha',\n",
       " 'Maha Venkatesh',\n",
       " 'Tharun Bhascker',\n",
       " 'Şenol Sönmez',\n",
       " 'Tom Gianas',\n",
       " 'Ross R. Shuman',\n",
       " 'Rajkumar Hirani',\n",
       " 'Robert Osman',\n",
       " 'Nathanael Wiseman',\n",
       " 'Jon Spira',\n",
       " 'Mez Tharatorn',\n",
       " 'Adisorn Tresirikasem',\n",
       " 'Mez Tharatorn',\n",
       " 'Banjong Pisanthanakun',\n",
       " 'Banjong Pisanthanakun',\n",
       " 'Paween Purikitpanya',\n",
       " 'Songyos Sugmakanan',\n",
       " 'Parkpoom Wongpoom',\n",
       " 'Visute Poolvoralaks',\n",
       " 'Banjong Pisanthanakun',\n",
       " 'Parkpoom Wongpoom',\n",
       " 'Chayanop Boonprakob',\n",
       " 'Susan Johnson',\n",
       " 'Lynn Shelton',\n",
       " 'Farhan Alam',\n",
       " 'Chad Archibald',\n",
       " 'Brian Baugh',\n",
       " 'A. L. Vijay',\n",
       " 'Ryan Coogler',\n",
       " 'Ben Palmer',\n",
       " 'Chris Howe',\n",
       " 'Ken Kwapis',\n",
       " 'Park In-je',\n",
       " 'Rod Blackhurst',\n",
       " 'Brian McGinn',\n",
       " 'Jesse V. Johnson',\n",
       " 'Mahsun Kırmızıgül',\n",
       " 'Monique Gardenberg',\n",
       " 'Mike Flanagan',\n",
       " 'Jacob LaMendola',\n",
       " 'Ritesh Batra',\n",
       " 'Dylan Howitt',\n",
       " 'William Lau',\n",
       " 'Mana Yasuda',\n",
       " 'Brian De Palma',\n",
       " 'Mana Yasuda',\n",
       " 'Rizal Mantovani',\n",
       " 'Han Yan',\n",
       " 'Jeremy Saulnier',\n",
       " 'Kim A. Snyder',\n",
       " 'Raditya Dika',\n",
       " 'Rocky Soraya',\n",
       " 'Sunil Soraya',\n",
       " 'Álvaro Longoria',\n",
       " 'Gerardo Olivares',\n",
       " 'Brendan Byrne',\n",
       " 'Gupse Özay',\n",
       " 'Jim Mickle',\n",
       " 'Jumpei Mizusaki',\n",
       " 'Koji Morimoto',\n",
       " 'Michael Arias',\n",
       " 'Masaru Matsumoto',\n",
       " 'Arthell Isom',\n",
       " 'Henry Thurlow',\n",
       " 'Takanobu Mizuno',\n",
       " 'Elsa Nakamichi',\n",
       " 'Hajime Sasaki',\n",
       " 'Shinji Takagi',\n",
       " 'Chi Fat Chan',\n",
       " 'Nabil Ayouch',\n",
       " 'Rob LaDuca',\n",
       " 'Robert C. Ramirez',\n",
       " 'Mangesh Hadawale',\n",
       " 'Wong Kar Wai',\n",
       " 'Rob Cohen',\n",
       " 'Louis J. Horvitz',\n",
       " 'Linda Saffire',\n",
       " 'Adam Schlesinger',\n",
       " 'Luis Lopez',\n",
       " 'Clay Tweel',\n",
       " 'Otilia Portillo Padua',\n",
       " 'Le Van Kiet',\n",
       " 'Eric Summer',\n",
       " 'Éric Warin',\n",
       " 'B. V. Nandini Reddy',\n",
       " 'B. V. Nandini Reddy',\n",
       " 'Mario Van Peebles',\n",
       " 'Ava DuVernay',\n",
       " 'Sonia Lowman',\n",
       " 'Benjamin Turner',\n",
       " 'Michael J. Bassett',\n",
       " 'Troy Miller',\n",
       " 'Tan Bing',\n",
       " 'Warren P. Sonoda',\n",
       " 'Álex de la Iglesia',\n",
       " 'Rahul Ravindran',\n",
       " 'Archie Borders',\n",
       " 'Bonni Cohen',\n",
       " 'Jon Shenk',\n",
       " 'Bobcat Goldthwait',\n",
       " 'Deepti Naval',\n",
       " 'Morgan Neville',\n",
       " 'Anthony Byrne',\n",
       " 'Chris Moukarbel',\n",
       " 'Ana Lily Amirpour',\n",
       " 'Alex Winter',\n",
       " 'Kemi Adetiba',\n",
       " 'Toka McBaror',\n",
       " 'Gilles Paquet-Brenner',\n",
       " 'Niyi Akinmolayan',\n",
       " 'Rashida Jones',\n",
       " 'Alan Hicks',\n",
       " 'Scott Aukerman',\n",
       " 'Mariano Barroso',\n",
       " 'Amara Cash',\n",
       " 'Kiko Cruz Claverol',\n",
       " 'Patricia Font',\n",
       " 'Bedran Güzel',\n",
       " 'Chun Wong',\n",
       " 'Coerte Voorhees',\n",
       " 'John Voorhees',\n",
       " 'Samuel D. Pollard',\n",
       " 'Ham Tran',\n",
       " 'Feng Xiaogang',\n",
       " 'Gary Michael Schultz',\n",
       " 'Liv Ullmann',\n",
       " 'Sandeep Reddy Vanga',\n",
       " 'Jacques Perrin',\n",
       " 'Jacques Cluzaud',\n",
       " 'Justin Benson',\n",
       " 'Aaron Moorhead',\n",
       " 'Michael Bonfiglio',\n",
       " 'Zack Whedon',\n",
       " 'Eric Stoltz',\n",
       " 'Conrad Helten',\n",
       " 'Morgan Neville',\n",
       " 'Teo Konuralp',\n",
       " 'Jesse V. Johnson',\n",
       " 'Chris Perkel',\n",
       " 'Cheh Chang',\n",
       " 'Manny Rodriguez',\n",
       " 'Robert Eggers',\n",
       " 'Chuck Russell',\n",
       " 'John Erick Dowdle',\n",
       " 'Edgar Wright',\n",
       " 'Tony Elliott',\n",
       " 'Troy Miller',\n",
       " 'Louis C.K.',\n",
       " 'Jeremy Coon',\n",
       " 'Tim Skousen',\n",
       " 'Orlando von Einsiedel',\n",
       " 'Tom Donahue',\n",
       " 'Michèle Ohayon',\n",
       " 'Timothy Woodward Jr.',\n",
       " 'Nia Dinata',\n",
       " \"Mark O'Connor\",\n",
       " 'Ajithkumar',\n",
       " 'Lucky Kuswandi',\n",
       " 'Riri Riza',\n",
       " 'Vijay Milton',\n",
       " 'Susannah Heath-Eves',\n",
       " 'Santwana Bardoloi',\n",
       " 'Atanu Ghosh',\n",
       " 'Amitava Bhattacharya',\n",
       " 'Partha Chakraborty',\n",
       " 'Raffi Ahmad',\n",
       " 'Arie Azis',\n",
       " 'Angelina Jolie',\n",
       " 'Pavel Parkhomenko',\n",
       " 'Azfar Jafri',\n",
       " 'R. Ellis Frazier',\n",
       " 'R. Ellis Frazier',\n",
       " 'Yance Ford',\n",
       " 'Mark Tonderai',\n",
       " 'Roman Atwood',\n",
       " 'Ben Pluimer',\n",
       " 'Dan Forrer',\n",
       " 'Kip Andersen',\n",
       " 'Keegan Kuhn',\n",
       " 'B. V. Nandini Reddy',\n",
       " 'Randall Lobb',\n",
       " 'Stacie Passon',\n",
       " 'Manop Janjarasskul',\n",
       " 'Shinsuke Sato',\n",
       " 'Chatchai Katenut',\n",
       " 'Manussa Vorasingha',\n",
       " 'Tanwarin Sukkhapisit',\n",
       " 'Poj Arnon',\n",
       " 'Ariel Vromen',\n",
       " 'Nicole Holofcener',\n",
       " 'Jerry G. Angelo',\n",
       " 'Michael Feifer',\n",
       " 'Elle Callahan',\n",
       " 'Alex Stapleton',\n",
       " 'Kıvanç Baruönü',\n",
       " 'Teng Huatao',\n",
       " 'Nzingha Stewart',\n",
       " 'Mark Dennis',\n",
       " 'Ben Foster',\n",
       " 'Ben Wallis',\n",
       " 'Dan Krauss',\n",
       " 'David Soren',\n",
       " 'Alessio Cremonini',\n",
       " 'Elaine McMillion Sheldon',\n",
       " 'Michael Simon',\n",
       " 'Joram Lürsen',\n",
       " 'Oliver Frampton',\n",
       " 'Mike Binder',\n",
       " 'Ryan Murphy',\n",
       " 'Orlando von Einsiedel',\n",
       " 'Mark Franchetti',\n",
       " 'Andrew Meier',\n",
       " 'Damián Romay',\n",
       " 'Trent Haaga',\n",
       " 'Mary Harron',\n",
       " 'Roger Donaldson',\n",
       " 'Petra Costa',\n",
       " 'Steven C. Miller',\n",
       " 'Richard Miron',\n",
       " 'Tony Leondis',\n",
       " 'Roger Kumble',\n",
       " 'Kunle Afolayan',\n",
       " 'Craig Gillespie',\n",
       " 'Nick Cassavetes',\n",
       " 'Clint Eastwood',\n",
       " 'Kunle Afolayan',\n",
       " 'Petra Costa',\n",
       " 'Lea Glob',\n",
       " 'Roger Allers',\n",
       " 'Jill Culton',\n",
       " 'Kunle Afolayan',\n",
       " 'Wolfgang Petersen',\n",
       " 'Jonathan Demme',\n",
       " 'Bernie Denk',\n",
       " 'Ivan Reitman',\n",
       " 'Greg Mottola',\n",
       " 'Kunle Afolayan',\n",
       " 'Kunle Afolayan',\n",
       " 'Alejandro Agresti',\n",
       " 'Daniel Stamm',\n",
       " 'Phillip Noyce',\n",
       " 'Tony Scott',\n",
       " 'Ahmed Zain',\n",
       " 'Mohamed Hamdy',\n",
       " 'Dennis Dugan',\n",
       " 'Peter Ho',\n",
       " 'Jordi Llompart',\n",
       " 'Rian Johnson',\n",
       " 'Olivier Marchal',\n",
       " 'Dennis Iliadis',\n",
       " 'Qaushiq Mukherjee',\n",
       " 'Sudip Bandyopadhyay',\n",
       " 'Onir',\n",
       " 'Jatla Siddartha',\n",
       " 'Jeremy Saulnier',\n",
       " 'Kanwal Sethi',\n",
       " 'Banjong Pisanthanakun',\n",
       " 'Alfonso Cuarón',\n",
       " 'Samuel Jouy',\n",
       " 'Akiva Goldsman',\n",
       " 'Damien Leone',\n",
       " 'Karen Moncrieff',\n",
       " 'Jean-Pierre Devillers',\n",
       " 'Sophon Sakdaphisit',\n",
       " 'Curtis Hanson',\n",
       " 'Young Jun Lee',\n",
       " 'Rajiv Mehra',\n",
       " 'Toshiyuki Kubooka',\n",
       " 'Toshiyuki Kubooka',\n",
       " 'Todd S. Yellin',\n",
       " 'Jesse Adang',\n",
       " 'Syrine Boulanouar',\n",
       " 'Rajiv Mehra',\n",
       " 'Elizabeth Chai Vasarhelyi',\n",
       " 'Toshiya Shinohara',\n",
       " 'Toshiya Shinohara',\n",
       " 'Toshiya Shinohara',\n",
       " 'Mohammed Hussain',\n",
       " 'Eli Craig',\n",
       " 'Parambrata Chatterjee',\n",
       " 'Shammi Kapoor',\n",
       " 'Umesh Mehra',\n",
       " 'Masahiko Murata',\n",
       " 'Masahiko Murata',\n",
       " 'Masahiko Murata',\n",
       " 'Hirotsugu Kawasaki',\n",
       " 'Toshiyuki Tsuru',\n",
       " 'Tensai Okamura',\n",
       " 'Florian Schnell',\n",
       " 'Josh Izenberg',\n",
       " 'Wynn Padula',\n",
       " 'Thierry Demaizière',\n",
       " 'Alban Teurlai',\n",
       " 'Spike Lee',\n",
       " 'Latif Faiziyev',\n",
       " 'Umesh Mehra',\n",
       " 'Gastón Duprat',\n",
       " 'Mariano Cohn',\n",
       " 'Bette Gordon',\n",
       " 'Gary Wang',\n",
       " 'Raz Degan',\n",
       " 'Israel Adrián Caetano',\n",
       " 'Mariano Cohn',\n",
       " 'Gastón Duprat',\n",
       " 'Drew Stone',\n",
       " 'Joram Lürsen',\n",
       " 'Jelle de Jonge',\n",
       " 'Afia Nathaniel',\n",
       " 'Luke Jurevicius',\n",
       " 'Sean Cisterna',\n",
       " 'Will Allen',\n",
       " 'Nacho G. Velilla',\n",
       " 'David Serrano',\n",
       " 'Jay Chapman',\n",
       " 'Jenny Gage',\n",
       " 'Kaila York',\n",
       " 'Ifa Isfansyah',\n",
       " 'Stan Lathan',\n",
       " 'Angga Dwimas Sasongko',\n",
       " 'Evgeny Afineevsky',\n",
       " 'Ryan Polito',\n",
       " 'Kabir Bhatia',\n",
       " 'Russell Crowe',\n",
       " 'Andrew Sandler',\n",
       " 'Ava DuVernay',\n",
       " 'Dave Higby',\n",
       " 'Richie Smyth',\n",
       " 'Andibachtiar Yusuf',\n",
       " 'Dustin Nguyen',\n",
       " 'Chris Eigeman',\n",
       " 'Stanley Tong',\n",
       " 'David France',\n",
       " 'Vandana Kataria',\n",
       " 'Angga Dwimas Sasongko',\n",
       " 'Riri Riza',\n",
       " 'Olaf de Fleur',\n",
       " 'Tamara Jenkins',\n",
       " 'Onur Bilgetay',\n",
       " 'Vincenzo Natali',\n",
       " 'Tugçe Soysop',\n",
       " 'Jacob Joice',\n",
       " 'Steve Ball',\n",
       " 'Craig Goodwill',\n",
       " 'Riri Riza',\n",
       " 'Mickey Liddell',\n",
       " 'Michael D. Black',\n",
       " 'Juani Libonatti',\n",
       " 'DJ Chen',\n",
       " 'Dani de la Torre',\n",
       " 'Jerrold Tarog',\n",
       " 'Judah Friedlander',\n",
       " 'Errol Morris',\n",
       " 'Oliver Blackburn',\n",
       " 'Park Joon-hwa',\n",
       " 'Saravana Rajendran',\n",
       " 'Onir',\n",
       " 'Jitendra Tiwari',\n",
       " 'Pranav Singh',\n",
       " 'Vivek Wagh',\n",
       " 'Riri Riza',\n",
       " 'Alex Israel',\n",
       " 'Lee Fulkerson',\n",
       " 'Joe Camp',\n",
       " 'Kavi Raz',\n",
       " 'Nick Simon',\n",
       " 'Don Mancini',\n",
       " 'Brandon Jones',\n",
       " 'Alain Desrochers',\n",
       " 'Brian Volk-Weiss',\n",
       " 'Deniz Gamze Ergüven',\n",
       " 'Robert Vince',\n",
       " 'Everardo González',\n",
       " 'Matt Kay',\n",
       " 'Drake Doremus',\n",
       " 'Robert Vince',\n",
       " 'Osgood Perkins',\n",
       " 'Werner Herzog',\n",
       " 'Julien Rambaldi',\n",
       " 'Yvan Attal',\n",
       " 'Benjamin Weill',\n",
       " 'Scott Hussion',\n",
       " 'Seth Fuller',\n",
       " 'Wilson Yip',\n",
       " 'Griffin Dunne',\n",
       " 'Roger Gual',\n",
       " 'J. Davis',\n",
       " 'Rob Smat',\n",
       " 'Tinge Krishnan',\n",
       " 'Aleksey German',\n",
       " 'Eric Zaragosa',\n",
       " 'Sergio Barrejón',\n",
       " 'Sandi Tan',\n",
       " 'Vijay Yelakanti',\n",
       " 'Katherine Dieckmann',\n",
       " 'Natalie Portman',\n",
       " 'John Murlowski',\n",
       " 'Ozan Açıktan',\n",
       " 'Craig Brewer',\n",
       " 'Billy Lyons',\n",
       " 'Michael Steed',\n",
       " 'Zak Hilditch',\n",
       " 'Michael Steiner',\n",
       " 'Vlad Yudin',\n",
       " 'Paul Berczeller',\n",
       " 'Mark Radice',\n",
       " 'Quentin Tarantino',\n",
       " 'Chris Buck',\n",
       " 'Jennifer Lee',\n",
       " 'Patrick Osborne',\n",
       " 'Lauren MacMullan',\n",
       " 'John Kahrs',\n",
       " 'Nathan Greno',\n",
       " 'Byron Howard',\n",
       " 'Stevie Wermers',\n",
       " 'Dean Wellins',\n",
       " 'Kevin Deters',\n",
       " 'Roger Allers',\n",
       " 'Mike Gabriel',\n",
       " 'Mark Henn',\n",
       " 'Andrew Slater',\n",
       " 'Glen Goei',\n",
       " 'Gavin Yap',\n",
       " 'S.S. Rajamouli',\n",
       " 'Brian Klein',\n",
       " 'Katy Chevigny',\n",
       " 'Ross Kauffman',\n",
       " 'Sarik Andreasyan',\n",
       " 'Huw Cordey',\n",
       " 'Yuen Woo-ping',\n",
       " 'Steve Brill',\n",
       " 'Don Michael Paul',\n",
       " 'Noah Baumbach',\n",
       " 'Jonathan Mostow',\n",
       " 'Brett Haley',\n",
       " 'Gillian Robespierre',\n",
       " 'Tobe Hooper',\n",
       " 'Daniel Benmayor',\n",
       " 'Abu Bakr Shawky',\n",
       " 'Jedd Wider',\n",
       " 'Todd Wider',\n",
       " 'Nagesh Kukunoor',\n",
       " 'Priyadarshan',\n",
       " 'Raj Kanwar',\n",
       " 'Pooja Bhatt',\n",
       " 'Satish Kaushik',\n",
       " 'Nikhil Advani',\n",
       " 'Anees Bazmee',\n",
       " 'Andrew Bujalski',\n",
       " 'Ben Wheatley',\n",
       " 'Riri Riza',\n",
       " 'Anthony Giordano',\n",
       " 'Wyatt Cenac',\n",
       " 'Joanna Lombardi',\n",
       " 'Bruno Ascenzo',\n",
       " 'David Batty',\n",
       " 'Zak Hilditch',\n",
       " 'Jennifer Siebel Newsom',\n",
       " 'Heidi Ewing',\n",
       " 'Rachel Grady',\n",
       " 'Jeremy Rush',\n",
       " 'Luis Javier Henaine',\n",
       " 'Anand Kamalakar',\n",
       " 'Don Michael Paul',\n",
       " 'Eric Idle',\n",
       " 'Aubrey Powell',\n",
       " 'Anthony Giordano',\n",
       " 'Will Yapp',\n",
       " 'Eric Idle',\n",
       " 'Will Yapp',\n",
       " 'Terry Hughes',\n",
       " 'Ian MacNaughton',\n",
       " 'Roger Graef',\n",
       " 'James Rogan',\n",
       " 'Terry Jones',\n",
       " 'Ian MacNaughton',\n",
       " 'Albert Sharpe',\n",
       " 'Leslye Headland',\n",
       " 'Jay Karas',\n",
       " 'Prakash Satam',\n",
       " 'Barry Sonnenfeld',\n",
       " 'Omoni Oboli',\n",
       " 'Thomas Vinterberg',\n",
       " 'Marcos Bucay',\n",
       " 'Peter Lepeniotis',\n",
       " 'Kim Jee-woon',\n",
       " 'Rajesh Touchriver',\n",
       " 'David Lam',\n",
       " 'David Batty',\n",
       " 'David Batty',\n",
       " 'David Batty',\n",
       " 'Timo Tjahjanto',\n",
       " 'Reem Kherici',\n",
       " 'Adze Ugah',\n",
       " 'Steve Gukas',\n",
       " 'Ciarán Foy',\n",
       " 'Frank Rajah Arase',\n",
       " 'Yılmaz Erdoğan',\n",
       " 'Tope Oshin',\n",
       " 'Daniel Sánchez Arévalo',\n",
       " 'Don Omope',\n",
       " 'Ed Perkins',\n",
       " 'Steven Soderbergh',\n",
       " 'Tope Oshin',\n",
       " 'Udai Singh Pawar',\n",
       " 'Guntur Soeharjanto',\n",
       " 'Thiru',\n",
       " 'Federico Lemos',\n",
       " 'Harald Zwart',\n",
       " 'Bruce McDonald',\n",
       " 'Bobcat Goldthwait',\n",
       " 'Bassam Tariq',\n",
       " 'Leslie Iwerks',\n",
       " 'Kim Joo-hyung',\n",
       " 'Ciarán Foy',\n",
       " 'Louie Psihoyos',\n",
       " 'Tom Forrest',\n",
       " 'Milan Luthria',\n",
       " 'John Crowley',\n",
       " 'Ranjit Tiwari',\n",
       " 'Tom Fassaert',\n",
       " 'Adam Dubin',\n",
       " 'Cary Joji Fukunaga',\n",
       " 'Aaron Hann',\n",
       " 'Mario Miscione',\n",
       " 'Ahmet Katıksız',\n",
       " 'Alexandros Avranas',\n",
       " 'Anindya Chatterjee',\n",
       " 'Anik Datta',\n",
       " 'Rajkumar Hirani',\n",
       " 'Ishaan Trivedi',\n",
       " 'Biswajeet Bora',\n",
       " 'Sohail Tatari',\n",
       " 'David Stubbs',\n",
       " 'Madhur Bhandarkar',\n",
       " 'Parveen Kumar',\n",
       " 'Matías Gueilburt',\n",
       " 'Ananth Narayan Mahadevan',\n",
       " 'Ah Loong',\n",
       " 'Girish Malik',\n",
       " 'Debaloy Dey',\n",
       " 'Martin Rosete',\n",
       " \"Jasmine D'Souza\",\n",
       " 'Ben C. Lucas',\n",
       " 'Rohit Jugraj',\n",
       " 'Shakti Samanta',\n",
       " 'Raj B. Shetty',\n",
       " 'Navneet Behal',\n",
       " 'Sukhbir Singh',\n",
       " 'Naresh Saigal',\n",
       " 'Ram Gopal Varma',\n",
       " 'Dhruv Dhawan',\n",
       " 'Thomas Sorriaux',\n",
       " 'Toshiyuki Kubooka',\n",
       " 'Noriyuki Abe',\n",
       " 'Noriyuki Abe',\n",
       " 'Clovis Cornillac',\n",
       " 'Hajime Kamegaki',\n",
       " 'Hajime Kamegaki',\n",
       " 'Jean-François Blais',\n",
       " 'Derek Hui',\n",
       " 'Kevin MacDonald',\n",
       " 'Stefano Sollima',\n",
       " 'Dave Higby',\n",
       " 'Leïla Sy',\n",
       " 'Kery James',\n",
       " 'Shaad Ali',\n",
       " 'Mahmoud al Massad',\n",
       " 'Yesim Ustaoglu',\n",
       " 'Jan Suter',\n",
       " 'Lucy Cohen',\n",
       " 'McG',\n",
       " 'Noah Baumbach',\n",
       " 'Christopher Guest',\n",
       " 'Gareth Evans',\n",
       " 'Paul Urkijo Alijo',\n",
       " 'Johanna Demetrakas',\n",
       " 'Padraic McKinley',\n",
       " 'Rizal Mantovani',\n",
       " 'Kief Davidson',\n",
       " 'Sara Colangelo',\n",
       " 'Mahmoud Sabbagh',\n",
       " 'Borja Cobeaga',\n",
       " 'Jonathan Demme',\n",
       " 'Leo Riley',\n",
       " 'Hakan Algül',\n",
       " 'Vince Gilligan',\n",
       " 'Brad Anderson',\n",
       " 'Bolanle Austen-Peters',\n",
       " 'Sion Sono',\n",
       " 'Dennis Rovira van Boekholt',\n",
       " 'Angga Dwimas Sasongko',\n",
       " 'Mohamed Diab',\n",
       " 'Naoto Amazutsumi',\n",
       " 'Paul Greengrass',\n",
       " 'Rusty Cundieff',\n",
       " 'Darin Scott',\n",
       " 'Jay Karas',\n",
       " 'Alastair Fothergill',\n",
       " 'James Yukich',\n",
       " 'Maciej Dejczer',\n",
       " 'Rusty Nixon',\n",
       " 'Lee Tamahori',\n",
       " 'Richard Rich',\n",
       " 'Michael Bay',\n",
       " 'Michael Bay',\n",
       " 'Ted Demme',\n",
       " 'Bernard Rose',\n",
       " 'McG',\n",
       " 'McG',\n",
       " 'Lee Yoon-jung',\n",
       " 'Paul Haggis',\n",
       " 'Troy Miller',\n",
       " 'Dave Green',\n",
       " 'Wojciech Marczewski',\n",
       " 'Andrzej Bartkowiak',\n",
       " 'Roy Poortmans',\n",
       " 'Brian Robbins',\n",
       " 'Mark Helfrich',\n",
       " 'Jon Hurwitz',\n",
       " 'Hayden Schlossberg',\n",
       " 'Bille Woodruff',\n",
       " 'Janusz Majewski',\n",
       " 'Alex Merkin',\n",
       " 'Janusz Majewski',\n",
       " 'Alex Proyas',\n",
       " 'Vrinda Samartha',\n",
       " 'Jacek Koprowicz',\n",
       " 'Barry Sonnenfeld',\n",
       " 'Nicholaus Goossen',\n",
       " 'Scott Hicks',\n",
       " 'Steven Soderbergh',\n",
       " 'Steven Soderbergh',\n",
       " 'Morgan Spurlock',\n",
       " 'Martin Scorsese',\n",
       " 'Stig Bergqvist',\n",
       " 'Paul Demeyer',\n",
       " 'Wes Craven',\n",
       " 'Asif Kapadia',\n",
       " 'Robert Rodriguez',\n",
       " 'Frank Miller',\n",
       " 'Dorian Fernández-Moris',\n",
       " 'Jeannot Szwarc',\n",
       " 'Bryan Singer',\n",
       " 'Ash Brannon',\n",
       " 'Chris Buck',\n",
       " 'Andy Tennant',\n",
       " 'Rob Reiner',\n",
       " 'Marek Piwowski',\n",
       " 'Kunle Afolayan',\n",
       " 'Brian Levant',\n",
       " 'Brian Levant',\n",
       " 'Stanisław Różewicz',\n",
       " 'Gabriele Muccino',\n",
       " 'Igor Kovalyov',\n",
       " 'Norton Virgien',\n",
       " 'Krzysztof Zanussi',\n",
       " 'Noah Baumbach',\n",
       " 'Robert Schwentke',\n",
       " 'Danny Boyle',\n",
       " 'Wolfgang Petersen',\n",
       " 'Paul Feig',\n",
       " 'Alex Smith',\n",
       " 'Andrew J. Smith',\n",
       " 'Antoni Krauze',\n",
       " 'Stanisław Różewicz',\n",
       " 'Simranjit Singh Hundal',\n",
       " 'Justin G. Dyck',\n",
       " 'Ram Gopal Varma',\n",
       " 'N. Linguswamy',\n",
       " 'Deep Joshi',\n",
       " 'Antoine Fuqua',\n",
       " 'John Curran',\n",
       " 'Rakeysh Omprakash Mehra',\n",
       " 'Anurag Kashyap',\n",
       " 'Manjeet Maan',\n",
       " 'Shagufta Rafique',\n",
       " 'Shakun Batra',\n",
       " 'Andrew Renzi',\n",
       " 'Tinu Pappachan',\n",
       " 'Amitoj Mann',\n",
       " 'Amarpreet G S Chabbra',\n",
       " 'Paresh Mokashi',\n",
       " 'Anurag Basu',\n",
       " 'Rohit Jugraj',\n",
       " 'Ashutosh Gowariker',\n",
       " 'Atharv Baluja',\n",
       " 'Vishal Bhardwaj',\n",
       " 'Leslie Small',\n",
       " 'Tim Story',\n",
       " 'Shannon Hartman',\n",
       " 'Rohit Jugraj',\n",
       " 'Shashanka Ghosh',\n",
       " 'Steve Greenwood',\n",
       " 'Puneet Sira',\n",
       " 'Aziz Mirza',\n",
       " \"Renzil D'Silva\",\n",
       " 'Smeep Kang',\n",
       " 'Sameer Sharma',\n",
       " 'Chandan Arora',\n",
       " 'Baljit Singh Deo',\n",
       " 'Amitoj Mann',\n",
       " 'Jennifer Peedom',\n",
       " 'Mysskin',\n",
       " 'Rajan Madhav',\n",
       " 'Raaghav Dar',\n",
       " 'Ishi Rudell',\n",
       " 'Ishi Rudell',\n",
       " 'David Lee Miller',\n",
       " 'Thiru',\n",
       " 'Amit Saxena',\n",
       " 'Pankaj Batra',\n",
       " 'Jaivi Dhanda',\n",
       " 'Suman Ghosh',\n",
       " 'Kabir Khan',\n",
       " 'Akshay Akkineni',\n",
       " 'Nidhi Sharma',\n",
       " 'Mastan Alibhai Burmawalla',\n",
       " 'Abbas Alibhai Burmawalla',\n",
       " 'Abbas Alibhai Burmawalla',\n",
       " 'Mastan Alibhai Burmawalla',\n",
       " 'Vipin Parashar',\n",
       " 'Vikram Pradhan',\n",
       " 'Vijay',\n",
       " 'Eduardo Chauvet',\n",
       " 'Sundar C.',\n",
       " 'Sartaj Singh Pannu',\n",
       " 'Vikramaditya Motwane',\n",
       " 'James McTeigue',\n",
       " 'N. Linguswamy',\n",
       " 'Ayaan Mukherji',\n",
       " 'Sidharth Malhotra',\n",
       " 'Saket Behl',\n",
       " 'Kevin Smith',\n",
       " 'Anjum Shahzad',\n",
       " 'Geun-hyun Cho',\n",
       " 'Christian Desmares',\n",
       " 'Franck Ekinci',\n",
       " 'Kyran Kelly',\n",
       " 'Adam Wood',\n",
       " 'Zeke Norton',\n",
       " 'Karen J. Lloyd',\n",
       " 'Andrew Tan',\n",
       " 'Michael Goguen',\n",
       " 'William Lau',\n",
       " 'Ezekiel Norton',\n",
       " 'Conrad Helten',\n",
       " 'Ezekiel Norton',\n",
       " 'Conrad Helten',\n",
       " 'Ezekiel Norton',\n",
       " 'Michael Goguen',\n",
       " 'Alê Abreu',\n",
       " 'Carlos Therón',\n",
       " 'Francesco Carrozzini',\n",
       " 'Noah Baumbach',\n",
       " 'Vlad Yudin',\n",
       " 'Karen J. Lloyd',\n",
       " 'Benjamin Turner',\n",
       " 'Gabe Turner',\n",
       " 'Steve Race',\n",
       " 'Brett Harvey',\n",
       " 'Roger Allers',\n",
       " 'Gaëtan Brizzi',\n",
       " 'Paul Brizzi',\n",
       " 'Joan C. Gratz',\n",
       " 'Mohammed Saeed Harib',\n",
       " 'Tomm Moore',\n",
       " 'Nina Paley',\n",
       " 'Bill Plympton',\n",
       " 'Joann Sfar',\n",
       " 'Michael Socha',\n",
       " 'Keiichi Hara',\n",
       " 'William Lau',\n",
       " 'Audu Paden',\n",
       " 'Eric Radomski',\n",
       " 'Claude Barras',\n",
       " 'Jean-Loup Felicioli',\n",
       " 'Alain Gagnol',\n",
       " 'Toa Fraser',\n",
       " 'Vibeke Idsøe',\n",
       " 'Chan-sang Lim',\n",
       " 'Kyoko Miyake',\n",
       " 'Carlos Algara',\n",
       " 'Alejandro Martinez-Beltran',\n",
       " 'Stephen Donnelly',\n",
       " 'Olly Reid',\n",
       " 'Jun Falkenstein',\n",
       " 'Mikhil Musale',\n",
       " 'Riccardo Pilizzeri',\n",
       " 'Guilherme Fontes',\n",
       " 'Aamir Bashir',\n",
       " 'Alejandro Fernández Almendras',\n",
       " 'Álex de la Iglesia',\n",
       " 'Ishi Rudell',\n",
       " 'David Schalko',\n",
       " 'Pieter Kuijpers',\n",
       " 'Prashant Nair',\n",
       " 'Paul Taublieb',\n",
       " 'Jon Freeman',\n",
       " 'Riccardo Milani',\n",
       " 'Larry Elikann',\n",
       " 'Robert Markowitz',\n",
       " 'Eric Laneuville',\n",
       " 'Joel Oliansky',\n",
       " 'Roy Campanella II',\n",
       " 'Arthur Allan Seidelman',\n",
       " 'John Herzfeld',\n",
       " 'Buzz Kulik',\n",
       " 'Richard Michaels',\n",
       " 'Linda Otto',\n",
       " 'Roger Young',\n",
       " 'Vincent Kok',\n",
       " 'Fellipe Barbosa',\n",
       " 'Christian Zübert',\n",
       " 'David Mackenzie',\n",
       " 'David Palmer',\n",
       " 'Dax Shepard',\n",
       " 'Luke Snellin',\n",
       " 'Xavier Durringer',\n",
       " 'Jack C. Newell',\n",
       " 'Cecilia Atán',\n",
       " 'Valeria Pivato',\n",
       " 'Gus Van Sant',\n",
       " 'Saratswadee Wongsomphet',\n",
       " 'Kirati Nakintanon',\n",
       " 'Antongiulio Panizzi',\n",
       " 'Pawan Kumar',\n",
       " 'Patricia Rozema',\n",
       " 'Trey Edward Shults',\n",
       " 'Christian Charles',\n",
       " 'Bronwen Hughes',\n",
       " 'Orlando von Einsiedel',\n",
       " 'Phillip Youmans',\n",
       " 'Zhang Yimou',\n",
       " 'John Ridley',\n",
       " 'Lucas Margutti',\n",
       " 'Neal Brennan',\n",
       " 'Azazel Jacobs',\n",
       " 'Jung Ji-woo',\n",
       " 'Leslie Small',\n",
       " 'Tejas Prabha Vijay Deoskar',\n",
       " 'Anees Bazmee',\n",
       " 'Jim Fall',\n",
       " 'Marita Grabiak',\n",
       " 'Jason Priestley',\n",
       " 'Neill Blomkamp',\n",
       " 'Noah Baumbach',\n",
       " \"Matt D'Avella\",\n",
       " 'Parthiban',\n",
       " 'Morgan Matthews',\n",
       " 'Marcus Raboy',\n",
       " 'Kief Davidson',\n",
       " 'Richard Ladkani',\n",
       " 'Luis Ara',\n",
       " 'Ignacio Jaunsolo',\n",
       " 'Abhishek Sharma',\n",
       " 'John Schultz',\n",
       " 'Damien O’Connor',\n",
       " 'Joseduardo Giordano',\n",
       " 'Sergio Goyri Jr.',\n",
       " 'Rudy Soedjarwo',\n",
       " 'Alice Rohrwacher',\n",
       " 'Kabir Bhatia',\n",
       " 'Titien Wattimena',\n",
       " 'Nandita Das',\n",
       " 'Leena Yadav',\n",
       " 'Romain Gavras',\n",
       " 'Sebastián Hofmann',\n",
       " 'Heidi Brandenburg',\n",
       " 'Mathew Orzel',\n",
       " 'John Luessenhop',\n",
       " 'Mike Disa',\n",
       " 'Pali Yahya',\n",
       " 'Mati Diop',\n",
       " 'Moses Inwang',\n",
       " 'Jérémy Clapin',\n",
       " 'Mandla Dube',\n",
       " 'Mike Ezuruonye',\n",
       " 'Cheta Chukwu',\n",
       " 'Roger Russell',\n",
       " 'Toka McBaror',\n",
       " 'Leslie Small',\n",
       " 'Frank Oz',\n",
       " 'Lu Yang',\n",
       " 'Edward Zwick',\n",
       " 'Basava Shankar Eeday',\n",
       " 'Prakash Satam',\n",
       " 'Elle-Máijá Tailfeathers',\n",
       " 'Kathleen Hepburn',\n",
       " 'Martin Scorsese',\n",
       " 'Dante Lam',\n",
       " 'Shreyas Talpade',\n",
       " 'Seth Barrish',\n",
       " 'Steve Ball',\n",
       " 'Sanjiv Jaiswal',\n",
       " 'Marta Jaenes',\n",
       " 'Rosa Márquez',\n",
       " 'Daniel Raim',\n",
       " 'Denny Lu',\n",
       " 'Mike Myhre',\n",
       " 'Luis Ara',\n",
       " 'María Jose Cuevas',\n",
       " 'Oz Rodriguez',\n",
       " 'Aleksandr Chernyaev',\n",
       " 'Fedor Lyass',\n",
       " 'Robert Altman',\n",
       " 'Ric Roman Waugh',\n",
       " 'Cary Murnion',\n",
       " 'Jonathan Milott',\n",
       " 'Jon Alpert',\n",
       " 'Ibai Abad',\n",
       " 'Charles A. Nichols',\n",
       " 'Iwao Takamoto',\n",
       " 'David Ayer',\n",
       " 'John Irvin',\n",
       " 'Simon Wells',\n",
       " 'David Ayer',\n",
       " 'Julio Soto Gurpide',\n",
       " 'Julien Abraham',\n",
       " 'Tsutomu Mizushima',\n",
       " 'Nate Adams',\n",
       " 'Adam Carolla',\n",
       " 'Clay Kaytis',\n",
       " 'Barbra Streisand',\n",
       " 'Jim Gable',\n",
       " 'Qaushiq Mukherjee',\n",
       " 'Nikon',\n",
       " 'Chris Sparling',\n",
       " 'Qaushiq Mukherjee',\n",
       " 'Kathryn Bigelow',\n",
       " 'Monika Mitchell',\n",
       " 'Noah Baumbach',\n",
       " 'Jake Paltrow',\n",
       " 'Fernando Colomo',\n",
       " 'Josh Wakely',\n",
       " 'Troy Miller',\n",
       " 'Jacob Kornbluth',\n",
       " 'Jon Gunn',\n",
       " 'Jan Suter',\n",
       " 'Raúl Campos Delgado',\n",
       " 'Anne Fontaine',\n",
       " 'Joshua Caldwell',\n",
       " 'Mike Judge',\n",
       " 'Bruce W. Smith',\n",
       " 'Eva Orner',\n",
       " 'Craig Brewer',\n",
       " 'Àlex Pastor',\n",
       " 'David Pastor',\n",
       " 'KVR Mahendra',\n",
       " 'Andrew Jenks',\n",
       " 'Ivan Reitman',\n",
       " 'John Schlesinger',\n",
       " 'Akiva Schaffer',\n",
       " 'Andy Tennant',\n",
       " 'Juan Carlos Rulfo',\n",
       " 'Christian Ditter',\n",
       " 'Raj R',\n",
       " 'Sergio Leone',\n",
       " 'Jim Field Smith',\n",
       " 'Bruce McCulloch',\n",
       " 'Steven Spielberg',\n",
       " 'William Brent Bell',\n",
       " 'Hugh WIlson',\n",
       " 'Sam Raimi',\n",
       " 'Neal Brennan',\n",
       " 'Robert Aldrich',\n",
       " 'Marco Schnabel',\n",
       " 'Francis Ford Coppola',\n",
       " 'Lasse Hallström',\n",
       " 'Oliver Stone',\n",
       " ...]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\", \".join(data_wo_duplicates[\"director\"].dropna()).split(\", \") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "014a0d57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Jan Suter              21\n",
       "Raúl Campos            19\n",
       "Jay Karas              14\n",
       "Marcus Raboy           14\n",
       "Jay Chapman            12\n",
       "Martin Scorsese         9\n",
       "Steven Spielberg        9\n",
       "Shannon Hartman         8\n",
       "Umesh Mehra             8\n",
       "Johnnie To              8\n",
       "Lance Bangs             8\n",
       "David Dhawan            8\n",
       "Robert Rodriguez        7\n",
       "Yılmaz Erdoğan          7\n",
       "Quentin Tarantino       7\n",
       "Noah Baumbach           7\n",
       "Ryan Polito             7\n",
       "Cathy Garcia-Molina     7\n",
       "Hakan Algül             7\n",
       "S.S. Rajamouli          7\n",
       "dtype: int64"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "directors = pd.Series(\", \".join(data_wo_duplicates[\"director\"].dropna()).split(\", \"))\n",
    "#\n",
    "directors.value_counts().head(20) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "fc34eca7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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JkiRJk2EokiRJktRphiJJkiRJnWYokiRJktRphiJJkiRJnWYokiRJktRphiJJkiRJnWYokiRJktRpq9w/b10VrbF62Hj9NQddhiRJkrRKcqZIkiRJUqcZiiRJkiR1mqFIkiRJUqcZiiRJkiR1mqFIkiRJUqcZiiRJkiR1mrfkXgncu3gJV11/26DLkCRJ0iRss+n6gy5BE+RMkSRJkqROMxRJkiRJ6jRDkSRJkqROMxRJkiRJ6jRDkSRJkqROMxRJkiRJ6jRDkSRJkqROMxRJkiRJ6jRDkSRJkqROMxRJkiRJ6jRDkSRJkqROWyVCUZJnJ9lu0HVIkiRJWvlMm1CUZEmS+UkuS/KtJOtPcL2tgL8Hru5bdm2SDUboOzPJZ5P8PMm8JOcmefyU7YQkSZKklc60CUXAPVU1u6p2AG4FXjPB9bYFXlVVSybQ9/Nt7K2qajfglcBfhCdJkiRJ3TGdQlG/HwGbAiTZPcmPklyS5PwkW7flByU5sqpOqapbkpyaZK/RBkyyJfB44LCquh+gqq6pqtNa+zfa7NHlSQ7uW+/OJEe05d9t9Zyb5BdJntNXyzfb8p8meVff+m9os1+XJTm0LVsnyWlJLm3LDxyh3oOTzE0y9/e33Lysx1OSJEnSKGYMuoDhkqwOPBX477boKmDPqrovyT7AB4AXLMXQ2wPzx5hRelVV3ZpkLeDHSb5eVbcA6wBnV9Wbk5wMvA/4W2A74DjglLb+7sAOwN1t/dOAojcb9XggwIVJvgdsAdxQVfu2fV5veDFVdTRwNMAOO+9SS7G/kiRJkiZgOoWitZLMpzdDdCXwnbZ8PeC4du1QAWssp+2/Psnz2uPNgK2AW4A/Ame05QuBRVW1OMlCYFbf+t9pIYokJwF7tHpPrqq7+pbv2cb7aJL/AE6tqvOW0z5JkiRJGsd0On3unqqaDWxOb1Zl6Jqi9wLntGuNng2s2ZbfxwPrX5OxXQ7s3GaiHqCddrcP8MSq2hm4pG+8xVU1NFNzP7AIoJ2C1x8qh8/mjDq7U1U/AXalF7Lel+Sd49QuSZIkaTmZTqEIgKq6G3g98MYkM+jNFF3fmg/q63otMDvJakk2o3f62ljj/hyYC7w7SQCSzEqyb9vG76vq7iTbAE9YitL/NsnD2ul3zwV+CJwHPDfJ2knWAZ4HnJdkE+DuqjoeOIJeQJIkSZI0ANPp9Lk/qapLkiwAXgJ8mN7pc4cBp/V1+yFwDXAFvdPtLp7A0H8PfBT4WZJ7gJuBNwMLgEOSXEnv1t4XLEXZFwFfBx4FHF9VcwGSHNvaAD7f9u3pwBFJ7gcWA/+0FNuTJEmSNAXy5zPDtLSSHATMqarXLo/xd9h5l/ra6ecsj6ElSZK0nGyz6fqDLkF9ksyrqjkjtU270+ckSZIkaUWalqfPrWyq6ljg2AGXIUmSJGkpOFMkSZIkqdMMRZIkSZI6zVAkSZIkqdMMRZIkSZI6zVAkSZIkqdMMRZIkSZI6zVAkSZIkqdP8P0UrgTXXWN3/iCxJkiQtJ84USZIkSeo0Q5EkSZKkTjMUSZIkSeo0Q5EkSZKkTjMUSZIkSeo0Q5EkSZKkTvOW3CuBO+9dzPlX/3bQZUiSNO09aeuNB12CpJWQM0WSJEmSOs1QJEmSJKnTDEWSJEmSOs1QJEmSJKnTDEWSJEmSOs1QJEmSJKnTDEWSJEmSOs1QJEmSJKnTDEWSJEmSOs1QJEmSJKnTDEWSJEmSOm2VDEVJ7pzKMZI8K8lPkmy+rONKkiRJml5WyVA0lZI8Ffgk8Myq+uUE15mxfKuSJEmSNFVW2VCUZGaSs5JcnGRhkv3b8vckObSv3/uT/MsoY/w18Dlgv6r6eVv2D0l+nOTSJF9PsnZbfmySo5JcCHw4ye5JfpTkkiTnJ9m69ds+yUVJ5idZkGSr5XskJEmSJI0lVTXoGqZcO/VtfWDtqvpDkg2AC4CtgM2Bk6pq1ySrAT8Fdq+qW4aNsRi4A9irqhb0LX/4UN8k7wNurKpPJTkW2ADYv6qWJHkIcHdV3ZdkH+CfquoFST4FXFBVJyR5ELB6Vd0zwj4cDBwMsNEmm+520tlzp/IQSZK0SnrS1hsPugRJ01SSeVU1Z6S2Vfk0rwAfaLM99wObAhtV1bVJbkmyC7ARcMnwQNQsBs4HXg30zyTt0MLQ+sBM4Nt9bV+tqiXt8XrAcW0mqIA12vIfAe9I8ih64eynIxVfVUcDRwNss8POq15ylSRJkqaJVfb0OeClwIbAblU1G7gRWLO1fR44CHglcMwo698PvAjYPcnb+5YfC7y2qnYE3t03JsBdfY/fC5xTVTsAzx7qV1VfAp4D3AOcnuQpS7d7kiRJkqbCqhyK1gN+V1WLk+xN77S5IScDzwAexwNneh6gqu4G9gVemuTVbfG6wG+SrEEveI21/evb44OGFibZAvhFVX0S+Caw02R2SpIkSdLUWuVOn2t3flsEnAB8K8lCYC5w1VCfqvpjknOA2/pOdxtRVd2a5BnA95PcBPw7cCFwU/u87iirfpje6XOHAaf1LX8R8LJ2zdJvgQ8sxW5KkiRJmiKr3I0WkuwMfK6qdh+jz2rAxcALR7umZzrZZoed65ivjzqhJUmSGm+0IGk0Y91oYZU6fS7JIcCJwGFj9NkO+Blw1soQiCRJkiQtX6vU6XNVdRRw1Dh9rgC2WDEVSZIkSZruVqmZIkmSJEmaLEORJEmSpE4zFEmSJEnqNEORJEmSpE4zFEmSJEnqNEORJEmSpE4zFEmSJEnqNEORJEmSpE5bpf5566pq5ppr8KStNx50GZIkSdIqyZkiSZIkSZ1mKJIkSZLUaYYiSZIkSZ1mKJIkSZLUaYYiSZIkSZ1mKJIkSZLUad6SeyXw+7sW8b8X/XTQZUiSNO29aPetBl2CpJWQM0WSJEmSOs1QJEmSJKnTDEWSJEmSOs1QJEmSJKnTDEWSJEmSOs1QJEmSJKnTDEWSJEmSOs1QJEmSJKnTDEWSJEmSOs1QJEmSJKnTDEWSJEmSOm0goShJJTm+7/mMJDclOXUQ9fTVMSvJPUnmJ7kiyReTrDHOOocnedOKqlGSJEnS1BrUTNFdwA5J1mrP/xa4fjIDJJkx5VX1/LyqZgM7Ao8CXrSctiNJkiRpGhjk6XOnA/u2xy8BThxqSLJ7kh8luSTJ+Um2bssPSnJKkrOBs5LMTPKFJAuTLEjygtbvzr6xDkhybHv8wiSXJbk0yffHKq6qlgAXAZu2dZ+d5MJW03eTbNTXfedW70+T/EPrnyRHtO0tTHJgW/7FJM/tq++EJPsv1RGUJEmStMwGGYq+DLw4yZrATsCFfW1XAXtW1S7AO4EP9LXtChxQVX8D/Dtwe1XtWFU7AWePs813Ak+vqp2B54zVsdX1eOCMtugHwBNaTV8G3tLXfSfgKcATgXcm2QR4PjAb2BnYBzgiySOB/wYOattYD3gScNoI2z84ydwkc/9w263j7JYkSZKkpbW8TkEbV1UtSDKL3izR6cOa1wOOS7IVUED/dT3fqaqhlLAP8OK+MX8/zmZ/CByb5H+Bk0bps2WS+cBjgNOqakFb/ijgKy3YPAi4pm+db1bVPcA9Sc4Bdgf2AE5sM043Jvke8LiqOiXJp5NsCLwA+HpV3Te8iKo6GjgaYMttd6xx9kuSJEnSUhr03edOAT5C36lzzXuBc6pqB+DZwJp9bXdNYNz+EPGndavqEOAwYDNgXpKHj7Du0DVFWwK7JRmaUfoUcGRV7Qj847CahoeW8ULMF4G/A14JHDNOX0mSJEnL0aBD0THAu6tq4bDl6/HnGy8cNMb63wFeM/QkyUPbwxuTbJtkNeB5fe1bVtWFVfVO4CZ64WhEVXUz8Dbg30ao6RXDuu+fZM0WsvYCfgycBxyYZPU2K/TX9K5RAjgWOLRt54ox9k+SJEnScjbQUFRV11XVJ0do+jDwwSSXMPYpfu8DHjp08wRg77b8bcCpwPnAb/r6H9FuenBZa7t0nBK/AaydZE/gcOCrSeYBNw/rtwA4B7gAeG9V3QCc3JZfSu9ap7dU1W/bft8IXAl8YZztS5IkSVrOUuXlKitakrWBhcCuVXX7eP233HbH+uBxo10CJUmShrxo960GXYKkaSrJvKqaM1LboE+f65wk+9CbJfrURAKRJEmSpOVrYHef66qq+i6w+aDrkCRJktTjTJEkSZKkTjMUSZIkSeo0Q5EkSZKkTjMUSZIkSeo0Q5EkSZKkTjMUSZIkSeo0Q5EkSZKkTjMUSZIkSeo0/3nrSuCh6zyYF+2+1aDLkCRJklZJzhRJkiRJ6jRDkSRJkqROMxRJkiRJ6jRDkSRJkqROMxRJkiRJ6jRDkSRJkqRO85bcK4Hf3n43Hz79kkGXIUmaxt7yrF0GXYIkrbScKZIkSZLUaYYiSZIkSZ1mKJIkSZLUaYYiSZIkSZ1mKJIkSZLUaYYiSZIkSZ1mKJIkSZLUaYYiSZIkSZ1mKJIkSZLUaYYiSZIkSZ1mKJIkSZLUadMmFCW5cwrG2DjJl5P8PMm8JKcn+askeyU5dSrqlCRJkrRqmTHoAqZKkgAnA8dV1Yvbsp2BjQZamCRJkqRpbdrMFAEkmZnkrCQXJ1mYZP+2/D1JDu3r9/4k/zJs9b2BxVV11NCCqrq0qs5rT2cm+VqSq5Kc0EIUSd6Z5MdJLktydN/yc5N8Isn81rZ7W354kuOSnJfkl0men+TDrd4zkqwxgXH/I8lFSX6SZM/lczQlSZIkTcS0CkXAvcDzqmpXeiHnoy1MHAO8HCDJasCLgeOHrbsDMG+MsXcBDgW2A7YAntyWH1lVj6uqHYC1gP361lm7qmYD/9xqGLIl8BTgOa2Oc6pqR+AeYN8JjDujqnZv9bxrjJolSZIkLWfTLRQF+ECSBcB3gU2BjarqWuCWJLsATwMuqapbJjn2RVV1XVXdD8wHZrXleye5MMlCekFn+751TgSoqu8DD0myflv+f1W1GFgIrA6c0ZYvnOC4J7XP8/r6P0CSg5PMTTL3rtt/P8ldlSRJkjRR0+2aopcCGwK7VdXiJNcCa7a2zwMHARvzwFmbIZcDB4wx9qK+x0uAGUnWBD4NzKmqXyc5vG97ADVsjKHniwCq6v4ki6tqaPn9Exx3qJYljPI1qKqjgaMBHrXVdsPrkCRJkjRFpttM0XrA71og2hvYvK/tZOAZwOOAb4+w7tnAg5McPLQgyU7jXLMzFFRuTjKTvwxVB7Zx9gBur6rbJ7gf440rSZIkaZqYFjNFSWbQmz05AfhWO+VsLnDVUJ+q+mOSc4DbqmrJ8DGqqpI8D/h4krfSuz7pWnrX7Ww60nar6rYknwMuA34L/HhYl3uTXAKsAbxqovszgXElSZIkTRP585lfAyyid+vsz7WbD4zWZzXgYuCFVfXTFVDTucCbqmru8t7WeB611Xb1+k+cMOgyJEnT2FuetcugS5CkaS3JvKqaM1LbwE+fS3IIvRsaHDZGn+2AnwFnrYhAJEmSJKk7Bn76XPu/QkeN0+cKerfRXmGqaq8VuT1JkiRJgzHwmSJJkiRJGiRDkSRJkqROMxRJkiRJ6jRDkSRJkqROMxRJkiRJ6jRDkSRJkqROMxRJkiRJ6jRDkSRJkqROG/g/b9X4Nl5vbd7yrF0GXYYkSZK0SnKmSJIkSVKnGYokSZIkdZqhSJIkSVKnGYokSZIkdZqhSJIkSVKnGYokSZIkdZq35F4J/OqWO3ntcecNugxJ+gtHvmLPQZcgSdIyc6ZIkiRJUqcZiiRJkiR1mqFIkiRJUqcZiiRJkiR1mqFIkiRJUqcZiiRJkiR1mqFIkiRJUqcZiiRJkiR1mqFIkiRJUqcZiiRJkiR1mqFIkiRJUqdNaShKUkmO73s+I8lNSU6d5Dizkvy/vudzknxykmO8KsnCJAuSXJZk/8msL0mSJKkbZkzxeHcBOyRZq6ruAf4WuH4yAySZAcwC/h/wJYCqmgvMncQYjwLeAexaVbcnmQlsOJk6Rqqrqu5bljEkSZIkTT/L4/S504F92+OXACcONSTZPcmPklyS5PwkW7flByU5JcnZwFnAh4A9k8xP8q9J9hqabUpyeJJjkpyb5BdJXj9CDY8A7gDuBKiqO6vqmrb+Y5N8N8mlSS5OsmV6jmgzSguTHNj67pXkvCSnAFckWSfJaW3dy/r67Zbke0nmJfl2kke25a9PckWbrfpyW7ZOq/+idhycwZIkSZIGaKpnigC+DLyzhZidgGOAPVvbVcCeVXVfkn2ADwAvaG27AjtV1a1J9gLeVFX7QS+cDNvGNsDewLrA1Uk+U1WL+9ovBW4ErklyFnBSVX2rtZ0AfKiqTk6yJr1g+HxgNrAzsAHw4yTf76trh6q6JskLgBuqat9W13pJ1gA+BexfVTe1oPR+4FXA24DHVNWiJOu38d4BnF1Vr2rLLkry3aq6a6IHWJIkSdLUmfJQVFULksyiN0t0+rDm9YDjkmwFFLBGX9t3qurWCW7mtKpaBCxK8jtgI+C6vhqWJHkG8DjgqcDHkuwGfBTYtKpObv3uBUiyB3BiVS0BbkzyvbbuH4CLhmaZgIXAR5P8B3BqVZ2XZAdgB+A7SQBWB37T+i8ATkjyDeAbbdnTgOckeVN7vibwaODK/h1McjBwMMDMh280wcMiSZIkabKWx0wRwCnAR4C9gIf3LX8vcE5VPa8Fp3P72iYzU7Ko7/ESRtiPqirgInozMd8BvkAvFE3Wn+qqqp8k2RV4FvC+Ngt1MnB5VT1xhHX3Bf4aeDbwjiQ7AgFeUFVXj7XRqjoaOBrgEY/ZppaibkmSJEkTsLxuyX0M8O6qWjhs+Xr8+cYLB42x/h30To1bKkk2aeFlyGzgl1V1B3Bdkue2fg9OsjZwHnBgktWTbEgvyFw00rjA3VV1PHAEvVPrrgY2TPLE1meNJNsnWQ3YrKrOAd5Kb99nAt8GXpc2rZRkl6XdT0mSJEnLbrnMFFXVdcBIt9D+ML3T5w4DThtjiAXAkiSXAscCl0yyhDWAj7QQcy9wE3BIa3sZ8Nkk7wEWAy+kN9vzRHrXIhXwlqr6bZJtho27I3BEkvvbuv9UVX9McgDwySTr0TumHwd+AhzflgX4ZFXdluS9rX1BC07XAPtNcv8kSZIkTZH0zjLTdPaIx2xTLzr8c4MuQ5L+wpGv2HP8TpIkTQNJ5lXVnJHaltfpc5IkSZK0UjAUSZIkSeo0Q5EkSZKkTjMUSZIkSeo0Q5EkSZKkTjMUSZIkSeo0Q5EkSZKkTjMUSZIkSeo0Q5EkSZKkTjMUSZIkSeq0GYMuQON79MNncuQr9hx0GZIkSdIqyZkiSZIkSZ1mKJIkSZLUaYYiSZIkSZ1mKJIkSZLUaYYiSZIkSZ1mKJIkSZLUad6SeyXw8xtv53kfPW3QZUjSXzj5jfsOugRJkpaZM0WSJEmSOs1QJEmSJKnTDEWSJEmSOs1QJEmSJKnTDEWSJEmSOs1QJEmSJKnTDEWSJEmSOs1QJEmSJKnTDEWSJEmSOs1QJEmSJKnTDEWSJEmSOs1QJEmSJKnTljoUJXlHksuTLEgyP8nj2/JDk6w9dSVOqqa1k5yQZGGSy5L8IMnMcdb5fJLtxulzbpI57fGdU1mzJEmSpMGasTQrJXkisB+wa1UtSrIB8KDWfChwPHD3lFQ4Of8C3FhVO7Y6twYWj7VCVf39iigMIMmMqrpvRW1PkiRJ0viWdqbokcDNVbUIoKpurqobkrwe2AQ4J8k5AEmeluRHSS5O8tUkM5M8I8lXhwZLsleSU0fr35Zfm+TdbfnCJNuMUtf1Q0+q6uoW2mYluarNIl2Z5GtDs1nDZoFG3PZwST7WZsnOSrJhW7ZlkjOSzEty3lB9SY5NclSSC4EPt34XtH14nzNPkiRJ0mAtbSg6E9gsyU+SfDrJ3wBU1SeBG4C9q2rvNoN0GLBPVe0KzAXeAHwXeHySddp4BwJfHqP/kJvb8s8AbxqhrmOAt7Zg874kW/W1bQ18uqq2Bf4A/HP/ihPY9pB1gLlVtT3wPeBdbfnRwOuqardW26f71nkU8KSqegPwCeATbTbruhHGH6rn4CRzk8xddNfto3WTJEmStIyWKhRV1Z3AbsDBwE3AV5IcNELXJwDbAT9MMh94BbB5O4XsDODZSWYA+wLfHK1/33gntc/zgFkj1DUf2AI4AngY8OMk27bmX1fVD9vj44E9JlLrCPt0P/CV/nHajNKTgK+2dT9Lb9ZqyFerakl7/ERgaJbsSyOMP7QvR1fVnKqa8+B11hutmyRJkqRltFTXFAG0N/nnAucmWUgvRBw7rFuA71TVS0YY4svAa4Fb6c283JFkrP4Ai9rnJaPV3gLbScBJSe4HngV8HajhXSdR61iKXri8rapmj9LnrkmOKUmSJGkFWaqZoiRbDzs1bTbwy/b4DmDd9vgC4MlJHtvWWyfJX7W27wG7Av9ALyCN138idT05yUPb4wfRm/kZquvR7QYRAP8P+MGw1Se67dWAA/rHqao/ANckeWFbN0l2HqXMC4AXtMcvnui+SZIkSVo+lvaaopnAcUmuSLKAXvg4vLUdDZyR5Jyqugk4CDix9fsRsA38aabpVOCZ7TNj9Z+gLYHvtZmrS+hdF/T11nY18JokVwIPpXdd0p9MYtt3AbsnuQx4CvCetvylwKuTXApcDuw/So2HAm9o23gs4AVDkiRJ0gClavhZZKueJLOAU6tqh2lQy9rAPVVVSV4MvKSqRgtQADx0s61qr0M/vkLqk6TJOPmN+w66BEmSJiTJvKqaM1LbUl9TpKW2G3Bku37qNuBVgy1HkiRJ6rZOhKKquhYY+CwRQFWdB4x2vZEkSZKkFWxprymSJEmSpFWCoUiSJElSpxmKJEmSJHWaoUiSJElSpxmKJEmSJHWaoUiSJElSpxmKJEmSJHVaJ/5P0cpuy43W87/GS5IkScuJM0WSJEmSOs1QJEmSJKnTDEWSJEmSOs1QJEmSJKnTDEWSJEmSOs1QJEmSJKnTvCX3SuCq627lSW85cdBlSJpmzv/wSwZdgiRJqwRniiRJkiR1mqFIkiRJUqcZiiRJkiR1mqFIkiRJUqcZiiRJkiR1mqFIkiRJUqcZiiRJkiR1mqFIkiRJUqcZiiRJkiR1mqFIkiRJUqcZiiRJkiR1mqFIkiRJUqeNG4qSvCPJ5UkWJJmf5PFt+bVJNlj+JS69JHcOe35QkiMnOcbsJM+a2sokSZIkTRczxmpM8kRgP2DXqlrUQtCDVkhl00CSGcBsYA5w+mCrkSRJkrQ8jBmKgEcCN1fVIoCqunlY++uSPBtYA3hhVV2VZHfgE8CawD3AK6vq6iQHAc8B1ga2BE6uqrfAn2Z0PkEvgN0D7F9VNyaZBRwDbADc1Mb6VZJjgT/QCysbA2+pqq9NZsdb3YfRC3m3AC9t2zy81bcF8CvgycBaSfYAPghsCzymtT8a+FfgCcAzgeuBZ1fV4iTvBJ4NrAWcD/xjVVWSc4ELgb2B9YFXV9V5k6ldkiRJ0tQZ7/S5M4HNkvwkyaeT/M2w9puralfgM8Cb2rKrgD2rahfgncAH+vrPBg4EdgQOTLJZW74OcEFV7Qx8H/iHtvxTwHFVtRNwAvDJvrEeCexBL0h9aJT612qn/M1PMh94T1/bD4AntDq/DLylr207YJ+qeknbh69U1eyq+kpr3xJ4Cr2QdzxwTlXtSC/Q7dv6HFlVj6uqHegFo/36xp9RVbsDhwLvGqnwJAcnmZtk7uJ77hhl9yRJkiQtqzFDUVXdCewGHExvpuYrbcZnyEnt8zxgVnu8HvDVJJcBHwO27+t/VlXdXlX3AlcAm7flfwROHWGsJwJfao//h14IGvKNqrq/qq4ANhplF+5pYWZ2Vc2mF3CGPAr4dpKFwJuH1XlKVd0zypgA/1dVi4GFwOrAGW35wr7a905yYRv/KcPGH+m4PUBVHV1Vc6pqzhprrTtGKZIkSZKWxbg3WqiqJVV1blW9C3gt8IK+5kXt8xL+fCree+nNnOxA7/SxNUfoP3ydxVVVIywfS/9YmUD/4T5FbzZnR+Afh9V510S2XVX388Da7wdmJFkT+DRwQBv/c4x8HCa6r5IkSZKWkzFDUZKtk2zVt2g28MtxxlyP3rU1AActdWU95wMvbo9fCkzltTf9db5ijH53AJOdqhkKQDcnmQkcMMn1JUmSJK0g480UzQSOS3JFkgX0rrU5fJx1Pgx8MMklLPssyOuAV7Ztvwz4l2Ucr9/h9E7zmwcMv4FEv3OA7dp1SQdOZOCquo3e7NBlwLeBHy9bqZIkSZKWl/z5zC9NVzM33qJ2evn7B12GpGnm/A+/ZNAlSJK00kgyr6rmjNQ27jVFkiRJkrQqMxRJkiRJ6jRDkSRJkqROMxRJkiRJ6jRDkSRJkqROMxRJkiRJ6jRDkSRJkqROMxRJkiRJ6jRDkSRJkqROmzHoAjS+bR71MP9zvSRJkrScOFMkSZIkqdMMRZIkSZI6zVAkSZIkqdMMRZIkSZI6zVAkSZIkqdMMRZIkSZI6zVAkSZIkqdP8P0UrgcuuvYmtD/r0oMuQNM1cfew/D7oESZJWCc4USZIkSeo0Q5EkSZKkTjMUSZIkSeo0Q5EkSZKkTjMUSZIkSeo0Q5EkSZKkTjMUSZIkSeo0Q5EkSZKkTjMUSZIkSeo0Q5EkSZKkTjMUSZIkSeq0gYSiJLOSXDZs2eFJ3rQct3lukjkTqKuSvK9v2QZJFic5cpx1l2v9kiRJkpYPZ4r+0jXAvn3PXwhcPhUDp8djLkmSJE0j0/INepvV+ViSuUmuTPK4JCcl+emwWZy/S3JRkvlJPptk9fZxbJLLkixM8q99Q7+w9f9Jkj1H2fzdwJV9s0oHAv/bt80Nk3w9yY/bx5P71t2u1f6LJK9v/WcluTrJF4HLgM2SfKbt2+VJ3j0Vx0ySJEnS0pkx6ALG8MeqmpPkX4BvArsBtwI/T/Ix4BH0AsuTq2pxkk8DL6U3q7NpVe0AkGT9vjFnVNXuSZ4FvAvYZ5Rtfxl4cZIbgSXADcAmre0TwMeq6gdJHg18G9i2tW0D7A2sC1yd5DNt+VbAK6rqglbTO6rq1iSrA2cl2amqFvQXkORg4GCAGes8bBKHTZIkSdJkDCoU1QSWn9I+LwQur6rfACT5BbAZsAe9oPTjJABrAb8DvgVskeRTwGnAmX1jntQ+zwNmjVHfGcB7gRuBrwxr24fejNDQ84ckmdken1ZVi4BFSX4HbNSW/3IoEDUvaqFnBvBIYDvgAaGoqo4GjgZYc4PNRztekiRJkpbRoELRLcBDhy17GL3reYYsap/v73s89HwGEOC4qvq34YMn2Rl4OnAI8CLgVcPGXMIY+15Vf0wyD3gjvcDynL7m1YAnVNW9w7bZP/7wbdzV1+8xwJuAx1XV75McC6w5Wi2SJEmSlq+BXFNUVXcCv0nyFIAkDwOeAfxgEsOcBRyQ5BFDYyTZPMkGwGpV9XXgMGDXpSzzo8Bbq+rWYcvPBF439CTJ7EmO+xB6Ien2JBsBz1zK+iRJkiRNgUFeU/Ry4L+S/Gd7/u6q+vlEV66qK5IcBpzZ7ui2GHgNcA/whb67vP3FTNIEx7+cke869/pW9wJ6x+/79GakJjrupUkuAa4Cfg38cGnqkyRJkjQ1UuXlKtPdmhtsXpvv99ZBlyFpmrn62H8edAmSJK00ksyrqhH/b+m0vCW3JEmSJK0ohiJJkiRJnWYokiRJktRphiJJkiRJnWYokiRJktRphiJJkiRJnWYokiRJktRphiJJkiRJnWYokiRJktRpMwZdgMa3w6wNmet/rpckSZKWC2eKJEmSJHWaoUiSJElSpxmKJEmSJHWaoUiSJElSpxmKJEmSJHWaoUiSJElSpxmKJEmSJHWa/6doJbDgpzewybPeNegyJE0zN5z+7kGXIEnSKsGZIkmSJEmdZiiSJEmS1GmGIkmSJEmdZiiSJEmS1GmGIkmSJEmdZiiSJEmS1GmGIkmSJEmdZiiSJEmS1GmGIkmSJEmdZiiSJEmS1GmGIkmSJEmdtkqEoiR3jtG2V5JTp3Bb50+i74VJ5if5VZKb2uP5SWZNVT2SJEmSls2MQRewsqmqJ02i7+MBkhwEzKmq1y6vuiRJkiQtnVVipgggPUckuSzJwiQH9jXPTPK1JFclOSFJ2jrXJnl3kovbOtu05YcnOSbJuUl+keT1fdu5s+/xm5P8OMmCJO+eYJ2zk1zQ1jk5yUOn6BBIkiRJWgqrTCgCng/MBnYG9gGOSPLI1rYLcCiwHbAF8OS+9W6uql2BzwBv6lu+DfB0YHfgXUnW6N9YkqcBW7X22cBuSf56AnV+EXhrVe0ELATeNVKnJAcnmZtk7v1/vHsCw0qSJElaGqtSKNoDOLGqllTVjcD3gMe1touq6rqquh+YD8zqW++k9nnesOWnVdWiqroZ+B2w0bDtPa19XAJcTC9EbTVWgUnWA9avqu+1RccBIwapqjq6quZU1ZzVHrT2WMNKkiRJWgZduaZoUd/jJTxwvxeNs3ykNoAAH6yqz05VkZIkSZJWvFVppug84MAkqyfZkN4MzEXLcXvfBl6VZCZAkk2TPGKsFarqduD3SfZsi15Gb0ZLkiRJ0oCs9DNFSWbQm9U5GXgicClQwFuq6rdDN0+YalV1ZpJtgR+1+zbcCfwdvVPtxvIK4KgkawO/AF65POqTJEmSNDGpqkHXsEyS7Ax8rqp2H3Qty8uD1tukNnjyPwy6DEnTzA2nT+iml5IkCUgyr6rmjNS2Up8+l+QQ4ETgsEHXIkmSJGnltFKfPldVRwFHDboOSZIkSSuvlXqmSJIkSZKWlaFIkiRJUqcZiiRJkiR1mqFIkiRJUqcZiiRJkiR1mqFIkiRJUqcZiiRJkiR12kr9f4q6YqetNmGu/7lekiRJWi6cKZIkSZLUaYYiSZIkSZ1mKJIkSZLUaamqQdegcSS5A7h60HWsAjYAbh50EasAj+PU8VhODY/j1PA4Tg2P49TxWE4Nj+OfbV5VG47U4I0WVg5XV9WcQRexsksy1+O47DyOU8djOTU8jlPD4zg1PI5Tx2M5NTyOE+Ppc5IkSZI6zVAkSZIkqdMMRSuHowddwCrC4zg1PI5Tx2M5NTyOU8PjODU8jlPHYzk1PI4T4I0WJEmSJHWaM0WSJEmSOs1QJEmSJKnTDEXTSJJnJLk6yc+SvG2E9gcn+UprvzDJrAGUOa0l2SzJOUmuSHJ5kn8Zoc9eSW5PMr99vHMQtU53Sa5NsrAdo7kjtCfJJ9vrcUGSXQdR53SWZOu+19n8JH9IcuiwPr4eR5HkmCS/S3JZ37KHJflOkp+2zw8dZd1XtD4/TfKKFVf19DPKcTwiyVXte/fkJOuPsu6YPwe6ZJTjeHiS6/u+f581yrpj/n7vmlGO5Vf6juO1SeaPsq6vyWa09zz+nFw6XlM0TSRZHfgJ8LfAdcCPgZdU1RV9ff4Z2KmqDknyYuB5VXXgQAqeppI8EnhkVV2cZF1gHvDcYcdxL+BNVbXfYKpcOSS5FphTVSP+w7f2y/91wLOAxwOfqKrHr7gKVy7te/x64PFV9cu+5Xvh63FESf4auBP4YlXt0JZ9GLi1qj7U3lw+tKreOmy9hwFzgTlA0fs5sFtV/X6F7sA0McpxfBpwdlXdl+Q/AIYfx9bvWsb4OdAloxzHw4E7q+ojY6w37u/3rhnpWA5r/yhwe1W9Z4S2a/E1CYz+ngc4CH9OTpozRdPH7sDPquoXVfVH4MvA/sP67A8c1x5/DXhqkqzAGqe9qvpNVV3cHt8BXAlsOtiqVln70/uFVlV1AbB++wGtkT0V+Hl/INLYqur7wK3DFvf/HDyO3huA4Z4OfKeqbm2/4L8DPGN51TndjXQcq+rMqrqvPb0AeNQKL2wlM8rrcSIm8vu9U8Y6lu19zYuAE1doUSuhMd7z+HNyKRiKpo9NgV/3Pb+Ov3wz/6c+7ZfZ7cDDV0h1K6H0Ti/cBbhwhOYnJrk0yf8l2X7FVrbSKODMJPOSHDxC+0Res/qzFzP6L3lfjxO3UVX9pj3+LbDRCH18bU7Oq4D/G6VtvJ8Dgte20xCPGeU0JV+Pk7MncGNV/XSUdl+TIxj2nsefk0vBUKRVUpKZwNeBQ6vqD8OaLwY2r6qdgU8B31jB5a0s9qiqXYFnAq9ppztoKSR5EPAc4KsjNPt6XErVO//bc8CXQZJ3APcBJ4zSxZ8DY/sMsCUwG/gN8NGBVrNqeAljzxL5mhxmrPc8/pycOEPR9HE9sFnf80e1ZSP2STIDWA+4ZYVUtxJJsga9Hw4nVNVJw9ur6g9VdWd7fDqwRpINVnCZ015VXd8+/w44md4pIP0m8ppVzzOBi6vqxuENvh4n7cah0zTb59+N0MfX5gQkOQjYD3hpjXKB8QR+DnRaVd1YVUuq6n7gc4x8fHw9TlB7b/N84Cuj9fE1+UCjvOfx5+RSMBRNHz8GtkrymPZX5RcDpwzrcwowdHeQA+hdJGv679PORf5v4Mqq+s9R+mw8dC1Wkt3pfR8YLvskWaddtEmSdYCnAZcN63YK8PL0PIHeRbG/QSMZ9S+fvh4nrf/n4CuAb47Q59vA05I8tJ3O9LS2TE2SZwBvAZ5TVXeP0mciPwc6bdh1lM9j5OMzkd/v6tkHuKqqrhup0dfkA43xnsefk0ujqvyYJh/07uL1E+DnwDvasvfQ+6UFsCa9029+BlwEbDHomqfbB7AHvWniBcD89vEs4BDgkNbntcDlwKX0LjB+0qDrnm4fwBbt+FzajtXQ67H/OAb4r/Z6XUjvbkADr326fQDr0As56/Ut8/U4sWN3Ir1TkhbTO9/91fSuozwL+CnwXeBhre8c4PN9676q/az8GfDKQe/LNDyOP6N3PcHQz8mjWt9NgNPb4xF/DnT1Y5Tj+D/t598Cem9EHzn8OLbnf/H7vcsfIx3LtvzYoZ+NfX19TY5+HEd7z+PPyaX48JbckiRJkjrN0+ckSZIkdZqhSJIkSVKnGYokSZIkdZqhSJIkSVKnGYokSZIkdZqhSJKkFSjJoUnWHnQdkqQ/85bckiStQEmupfd/vW4edC2SpB5niiRJGibJy5MsSHJpkv9JMivJ2W3ZWUke3fodm+SAvvXubJ/3SnJukq8luSrJCel5Pb1/RnlOknMGs3eSpOFmDLoASZKmkyTbA4cBT6qqm5M8DDgOOK6qjkvyKuCTwHPHGWoXYHvgBuCHwJOr6pNJ3gDs7UyRJE0fzhRJkvRATwG+OhRaqupW4InAl1r7/wB7TGCci6rquqq6H5gPzJr6UiVJU8FQJEnS0ruP9rs0yWrAg/raFvU9XoJnZ0jStGUokiTpgc4GXpjk4QDt9LnzgRe39pcC57XH1wK7tcfPAdaYwPh3AOtOVbGSpGXnX60kSepTVZcneT/wvSRLgEuA1wFfSPJm4Cbgla3754BvJrkUOAO4awKbOBo4I8kNVbX31O+BJGmyvCW3JEmSpE7z9DlJkiRJnWYokiRJktRphiJJkiRJnWYokiRJktRphiJJkiRJnWYokiRJktRphiJJkiRJnfb/AW8i8fDjCdrBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(13,7))\n",
    "plt.title('Top 10 Director Based on The Number of Titles')\n",
    "sns.countplot(y = directors, order = directors.value_counts().index[:10], palette='Blues')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "a4622bc8",
   "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>type</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Norm of the North: King Sized Adventure</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Richard Finn, Tim Maltby</td>\n",
       "      <td>Alan Marriott, Andrew Toth, Brian Dobson, Cole...</td>\n",
       "      <td>United States, India, South Korea, China</td>\n",
       "      <td>September 9, 2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Children &amp; Family Movies, Comedies</td>\n",
       "      <td>Before planning an awesome wedding for his gra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>#realityhigh</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Fernando Lebrija</td>\n",
       "      <td>Nesta Cooper, Kate Walsh, John Michael Higgins...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>99 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>When nerdy high schooler Dani finally attracts...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Automata</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Gabe Ibáñez</td>\n",
       "      <td>Antonio Banderas, Dylan McDermott, Melanie Gri...</td>\n",
       "      <td>Bulgaria, United States, Spain, Canada</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2014</td>\n",
       "      <td>R</td>\n",
       "      <td>110 min</td>\n",
       "      <td>International Movies, Sci-Fi &amp; Fantasy, Thrillers</td>\n",
       "      <td>In a dystopian future, an insurance adjuster f...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fabrizio Copano: Solo pienso en mi</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Rodrigo Toro, Francisco Schultz</td>\n",
       "      <td>Fabrizio Copano</td>\n",
       "      <td>Chile</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>60 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Fabrizio Copano takes audience participation t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Good People</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Henrik Ruben Genz</td>\n",
       "      <td>James Franco, Kate Hudson, Tom Wilkinson, Omar...</td>\n",
       "      <td>United States, United Kingdom, Denmark, Sweden</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2014</td>\n",
       "      <td>R</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Action &amp; Adventure, Thrillers</td>\n",
       "      <td>A struggling couple can't believe their luck w...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Great British Baking Show</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>Andy Devonshire</td>\n",
       "      <td>Mel Giedroyc, Sue Perkins, Mary Berry, Paul Ho...</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>August 30, 2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>7 Seasons</td>\n",
       "      <td>British TV Shows, Reality TV</td>\n",
       "      <td>A talented batch of amateur bakers face off in...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miraculous: Tales of Ladybug &amp; Cat Noir</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>Thomas Astruc</td>\n",
       "      <td>Cristina Vee, Bryce Papenbrook, Keith Silverst...</td>\n",
       "      <td>France, South Korea, Japan</td>\n",
       "      <td>August 2, 2019</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>Kids' TV, TV Action &amp; Adventure</td>\n",
       "      <td>When Paris is in peril, Marinette becomes Lady...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sacred Games</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>Vikramaditya Motwane, Anurag Kashyap</td>\n",
       "      <td>Saif Ali Khan, Nawazuddin Siddiqui, Radhika Ap...</td>\n",
       "      <td>India, United States</td>\n",
       "      <td>August 15, 2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Crime TV Shows, International TV Shows, TV Dramas</td>\n",
       "      <td>A link in their pasts leads an honest cop to a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Men on a Mission</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>Jung-ah Im</td>\n",
       "      <td>Ho-dong Kang, Soo-geun Lee, Sang-min Lee, Youn...</td>\n",
       "      <td>South Korea</td>\n",
       "      <td>April 9, 2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, Korean TV Shows, Stand...</td>\n",
       "      <td>Male celebs play make-believe as high schooler...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Leyla and Mecnun</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>Onur Ünlü</td>\n",
       "      <td>Ali Atay, Melis Birkan, Serkan Keskin, Ahmet M...</td>\n",
       "      <td>Turkey</td>\n",
       "      <td>April 15, 2017</td>\n",
       "      <td>2014</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>3 Seasons</td>\n",
       "      <td>International TV Shows, Romantic TV Shows, TV ...</td>\n",
       "      <td>Destiny brings Mecnun and Leyla together as ne...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4264 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            type  \\\n",
       "title                                              \n",
       "Norm of the North: King Sized Adventure    Movie   \n",
       "#realityhigh                               Movie   \n",
       "Automata                                   Movie   \n",
       "Fabrizio Copano: Solo pienso en mi         Movie   \n",
       "Good People                                Movie   \n",
       "...                                          ...   \n",
       "The Great British Baking Show            TV Show   \n",
       "Miraculous: Tales of Ladybug & Cat Noir  TV Show   \n",
       "Sacred Games                             TV Show   \n",
       "Men on a Mission                         TV Show   \n",
       "Leyla and Mecnun                         TV Show   \n",
       "\n",
       "                                                                     director  \\\n",
       "title                                                                           \n",
       "Norm of the North: King Sized Adventure              Richard Finn, Tim Maltby   \n",
       "#realityhigh                                                 Fernando Lebrija   \n",
       "Automata                                                          Gabe Ibáñez   \n",
       "Fabrizio Copano: Solo pienso en mi            Rodrigo Toro, Francisco Schultz   \n",
       "Good People                                                 Henrik Ruben Genz   \n",
       "...                                                                       ...   \n",
       "The Great British Baking Show                                 Andy Devonshire   \n",
       "Miraculous: Tales of Ladybug & Cat Noir                         Thomas Astruc   \n",
       "Sacred Games                             Vikramaditya Motwane, Anurag Kashyap   \n",
       "Men on a Mission                                                   Jung-ah Im   \n",
       "Leyla and Mecnun                                                    Onur Ünlü   \n",
       "\n",
       "                                                                                      cast  \\\n",
       "title                                                                                        \n",
       "Norm of the North: King Sized Adventure  Alan Marriott, Andrew Toth, Brian Dobson, Cole...   \n",
       "#realityhigh                             Nesta Cooper, Kate Walsh, John Michael Higgins...   \n",
       "Automata                                 Antonio Banderas, Dylan McDermott, Melanie Gri...   \n",
       "Fabrizio Copano: Solo pienso en mi                                         Fabrizio Copano   \n",
       "Good People                              James Franco, Kate Hudson, Tom Wilkinson, Omar...   \n",
       "...                                                                                    ...   \n",
       "The Great British Baking Show            Mel Giedroyc, Sue Perkins, Mary Berry, Paul Ho...   \n",
       "Miraculous: Tales of Ladybug & Cat Noir  Cristina Vee, Bryce Papenbrook, Keith Silverst...   \n",
       "Sacred Games                             Saif Ali Khan, Nawazuddin Siddiqui, Radhika Ap...   \n",
       "Men on a Mission                         Ho-dong Kang, Soo-geun Lee, Sang-min Lee, Youn...   \n",
       "Leyla and Mecnun                         Ali Atay, Melis Birkan, Serkan Keskin, Ahmet M...   \n",
       "\n",
       "                                                                                country  \\\n",
       "title                                                                                     \n",
       "Norm of the North: King Sized Adventure        United States, India, South Korea, China   \n",
       "#realityhigh                                                              United States   \n",
       "Automata                                         Bulgaria, United States, Spain, Canada   \n",
       "Fabrizio Copano: Solo pienso en mi                                                Chile   \n",
       "Good People                              United States, United Kingdom, Denmark, Sweden   \n",
       "...                                                                                 ...   \n",
       "The Great British Baking Show                                            United Kingdom   \n",
       "Miraculous: Tales of Ladybug & Cat Noir                      France, South Korea, Japan   \n",
       "Sacred Games                                                       India, United States   \n",
       "Men on a Mission                                                            South Korea   \n",
       "Leyla and Mecnun                                                                 Turkey   \n",
       "\n",
       "                                                date_added  release_year  \\\n",
       "title                                                                      \n",
       "Norm of the North: King Sized Adventure  September 9, 2019          2019   \n",
       "#realityhigh                             September 8, 2017          2017   \n",
       "Automata                                 September 8, 2017          2014   \n",
       "Fabrizio Copano: Solo pienso en mi       September 8, 2017          2017   \n",
       "Good People                              September 8, 2017          2014   \n",
       "...                                                    ...           ...   \n",
       "The Great British Baking Show              August 30, 2019          2019   \n",
       "Miraculous: Tales of Ladybug & Cat Noir     August 2, 2019          2018   \n",
       "Sacred Games                               August 15, 2019          2019   \n",
       "Men on a Mission                             April 9, 2019          2019   \n",
       "Leyla and Mecnun                            April 15, 2017          2014   \n",
       "\n",
       "                                        rating   duration  \\\n",
       "title                                                       \n",
       "Norm of the North: King Sized Adventure  TV-PG     90 min   \n",
       "#realityhigh                             TV-14     99 min   \n",
       "Automata                                     R    110 min   \n",
       "Fabrizio Copano: Solo pienso en mi       TV-MA     60 min   \n",
       "Good People                                  R     90 min   \n",
       "...                                        ...        ...   \n",
       "The Great British Baking Show            TV-PG  7 Seasons   \n",
       "Miraculous: Tales of Ladybug & Cat Noir  TV-Y7  4 Seasons   \n",
       "Sacred Games                             TV-MA  2 Seasons   \n",
       "Men on a Mission                         TV-14  4 Seasons   \n",
       "Leyla and Mecnun                         TV-PG  3 Seasons   \n",
       "\n",
       "                                                                                 listed_in  \\\n",
       "title                                                                                        \n",
       "Norm of the North: King Sized Adventure                 Children & Family Movies, Comedies   \n",
       "#realityhigh                                                                      Comedies   \n",
       "Automata                                 International Movies, Sci-Fi & Fantasy, Thrillers   \n",
       "Fabrizio Copano: Solo pienso en mi                                         Stand-Up Comedy   \n",
       "Good People                                                  Action & Adventure, Thrillers   \n",
       "...                                                                                    ...   \n",
       "The Great British Baking Show                                 British TV Shows, Reality TV   \n",
       "Miraculous: Tales of Ladybug & Cat Noir                    Kids' TV, TV Action & Adventure   \n",
       "Sacred Games                             Crime TV Shows, International TV Shows, TV Dramas   \n",
       "Men on a Mission                         International TV Shows, Korean TV Shows, Stand...   \n",
       "Leyla and Mecnun                         International TV Shows, Romantic TV Shows, TV ...   \n",
       "\n",
       "                                                                               description  \n",
       "title                                                                                       \n",
       "Norm of the North: King Sized Adventure  Before planning an awesome wedding for his gra...  \n",
       "#realityhigh                             When nerdy high schooler Dani finally attracts...  \n",
       "Automata                                 In a dystopian future, an insurance adjuster f...  \n",
       "Fabrizio Copano: Solo pienso en mi       Fabrizio Copano takes audience participation t...  \n",
       "Good People                              A struggling couple can't believe their luck w...  \n",
       "...                                                                                    ...  \n",
       "The Great British Baking Show            A talented batch of amateur bakers face off in...  \n",
       "Miraculous: Tales of Ladybug & Cat Noir  When Paris is in peril, Marinette becomes Lady...  \n",
       "Sacred Games                             A link in their pasts leads an honest cop to a...  \n",
       "Men on a Mission                         Male celebs play make-believe as high schooler...  \n",
       "Leyla and Mecnun                         Destiny brings Mecnun and Leyla together as ne...  \n",
       "\n",
       "[4264 rows x 10 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 13 # Jan Suter and his actors\n",
    "data_wo_duplicates[data_wo_duplicates['director'].notna() == True].set_index('title')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "77ad288b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title\n",
       "Norm of the North: King Sized Adventure           Richard Finn, Tim Maltby\n",
       "Jandino: Whatever it Takes                                             NaN\n",
       "Transformers Prime                                                     NaN\n",
       "Transformers: Robots in Disguise                                       NaN\n",
       "#realityhigh                                              Fernando Lebrija\n",
       "Apaches                                                                NaN\n",
       "Automata                                                       Gabe Ibáñez\n",
       "Fabrizio Copano: Solo pienso en mi         Rodrigo Toro, Francisco Schultz\n",
       "Fire Chasers                                                           NaN\n",
       "Good People                                              Henrik Ruben Genz\n",
       "Name: director, dtype: object"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_wo_duplicates.set_index('title')['director'].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "5e37e904",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "show_id\n",
       "81145628                Richard Finn, Tim Maltby\n",
       "80125979                        Fernando Lebrija\n",
       "70304989                             Gabe Ibáñez\n",
       "80164077         Rodrigo Toro, Francisco Schultz\n",
       "70304990                       Henrik Ruben Genz\n",
       "                            ...                 \n",
       "80063224                         Andy Devonshire\n",
       "80164216                           Thomas Astruc\n",
       "80115328    Vikramaditya Motwane, Anurag Kashyap\n",
       "80176842                              Jung-ah Im\n",
       "80126599                               Onur Ünlü\n",
       "Name: director, Length: 4264, dtype: object"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "series = data_wo_duplicates[data_wo_duplicates['director'].notna() == True]['director']\n",
    "series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "64220232",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "    <tr style=\"text-align: right;\">\n",
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       "    <tr>\n",
       "      <th>title</th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>El Especial de Alex Fernández, el Especial</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Jan Suter</td>\n",
       "      <td>Alex Fernández</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>October 13, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>52 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>From a Mexico City theme park, energetic stand...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Carlos Ballarta: El amor es de putos</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Jan Suter, Raúl Campos Delgado</td>\n",
       "      <td>Carlos Ballarta</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>November 21, 2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>67 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Carlos Ballarta mocks daily life in Mexico, in...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mea Culpa</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Alexis de Anda</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>November 10, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>54 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Raw and outspoken, comedian Alexis de Anda bar...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Simplemente Manu NNa</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Jan Suter, Raúl Campos</td>\n",
       "      <td>Manu NNa</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>May 5, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>72 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Eclectic stand-up comic Manu NNa relays everyd...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fernando Sanjiao: Hombre</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Fernando Sanjiao</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>May 25, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>63 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Argentine actor and comedian Fernando Sanjiao ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Carlos Ballarta: Furia Ñera</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Carlos Ballarta</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>May 11, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>63 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Mexican comic Carlos Ballarta mocks himself an...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sofía Niño de Rivera: Selección Natural</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Sofía Niño de Rivera</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>March 30, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>62 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Mexico's Sofía Niño de Rivera brings her dark ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malena Pichot: Estupidez compleja</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Malena Pichot</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>March 2, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>51 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>An Argentine comedian espouses the values of f...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Natalia Valdebenito: El especial</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Natalia Valdebenito</td>\n",
       "      <td>Chile</td>\n",
       "      <td>March 2, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>69 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>A Chilean comedian fuses activism with irrever...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jani Dueñas: Grandes fracasos de ayer y hoy</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Jani Dueñas</td>\n",
       "      <td>Chile</td>\n",
       "      <td>June 29, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>77 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Chilean comedian and personality Jani Dueñas p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sofía Niño de Rivera: Exposed</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Sofía Niño de Rivera</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>June 24, 2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>80 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Self-deprecating comic Sofía Niño de Rivera pu...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Luciano Mellera: Infantiloide</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Luciano Mellera</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>July 6, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>66 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Argentina's Luciano Mellera emphasizes the hum...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coco y Raulito: Carrusel de ternura</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Coco Celis, Raúl Meneses</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>July 27, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>57 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>A study in contrasts, comedy partners and good...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sebastián Marcelo Wainraich</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Sebastián Marcelo Wainraich</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>January 26, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>49 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Argentine comedian Sebastián Wainraich highlig...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ricardo Quevedo: Hay gente así</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Ricardo Quevedo</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>January 24, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>59 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Droll comic Ricardo Quevedo hits Bogotá with a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ricardo O'Farrill Abrazo Genial</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Ricardo O'Farrill</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>January 22, 2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>92 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Ricardo O'Farrill brings his sharp, observatio...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arango y Sanint: Ríase el show</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Julián Arango, Antonio Sanint</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>January 17, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>62 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Colombian stand-up comedians Antonio Sanint an...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Daniel Sosa: Sosafado</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Daniel Sosa</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>February 3, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>78 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Comedian Daniel Sosa inhabits various characte...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ricardo O'Farrill: Abrazo navideño</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Ricardo O'Farrill, Carlos Ballarta, Sofía Niño...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 12, 2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>31 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>The expressive Ricardo O'Farrill uses his astu...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alan Saldaña: Mi vida de pobre</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Alan Saldaña</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>August 4, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>54 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Mexican comic Alan Saldaña has fun with everyt...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Todo lo que sería Lucas Lauriente</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Raúl Campos, Jan Suter</td>\n",
       "      <td>Lucas Lauriente</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>April 6, 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>78 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>In his stand-up set, Argentine comic Lucas Lau...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              type  \\\n",
       "title                                                \n",
       "El Especial de Alex Fernández, el Especial   Movie   \n",
       "Carlos Ballarta: El amor es de putos         Movie   \n",
       "Mea Culpa                                    Movie   \n",
       "Simplemente Manu NNa                         Movie   \n",
       "Fernando Sanjiao: Hombre                     Movie   \n",
       "Carlos Ballarta: Furia Ñera                  Movie   \n",
       "Sofía Niño de Rivera: Selección Natural      Movie   \n",
       "Malena Pichot: Estupidez compleja            Movie   \n",
       "Natalia Valdebenito: El especial             Movie   \n",
       "Jani Dueñas: Grandes fracasos de ayer y hoy  Movie   \n",
       "Sofía Niño de Rivera: Exposed                Movie   \n",
       "Luciano Mellera: Infantiloide                Movie   \n",
       "Coco y Raulito: Carrusel de ternura          Movie   \n",
       "Sebastián Marcelo Wainraich                  Movie   \n",
       "Ricardo Quevedo: Hay gente así               Movie   \n",
       "Ricardo O'Farrill Abrazo Genial              Movie   \n",
       "Arango y Sanint: Ríase el show               Movie   \n",
       "Daniel Sosa: Sosafado                        Movie   \n",
       "Ricardo O'Farrill: Abrazo navideño           Movie   \n",
       "Alan Saldaña: Mi vida de pobre               Movie   \n",
       "Todo lo que sería Lucas Lauriente            Movie   \n",
       "\n",
       "                                                                   director  \\\n",
       "title                                                                         \n",
       "El Especial de Alex Fernández, el Especial                        Jan Suter   \n",
       "Carlos Ballarta: El amor es de putos         Jan Suter, Raúl Campos Delgado   \n",
       "Mea Culpa                                            Raúl Campos, Jan Suter   \n",
       "Simplemente Manu NNa                                 Jan Suter, Raúl Campos   \n",
       "Fernando Sanjiao: Hombre                             Raúl Campos, Jan Suter   \n",
       "Carlos Ballarta: Furia Ñera                          Raúl Campos, Jan Suter   \n",
       "Sofía Niño de Rivera: Selección Natural              Raúl Campos, Jan Suter   \n",
       "Malena Pichot: Estupidez compleja                    Raúl Campos, Jan Suter   \n",
       "Natalia Valdebenito: El especial                     Raúl Campos, Jan Suter   \n",
       "Jani Dueñas: Grandes fracasos de ayer y hoy          Raúl Campos, Jan Suter   \n",
       "Sofía Niño de Rivera: Exposed                        Raúl Campos, Jan Suter   \n",
       "Luciano Mellera: Infantiloide                        Raúl Campos, Jan Suter   \n",
       "Coco y Raulito: Carrusel de ternura                  Raúl Campos, Jan Suter   \n",
       "Sebastián Marcelo Wainraich                          Raúl Campos, Jan Suter   \n",
       "Ricardo Quevedo: Hay gente así                       Raúl Campos, Jan Suter   \n",
       "Ricardo O'Farrill Abrazo Genial                      Raúl Campos, Jan Suter   \n",
       "Arango y Sanint: Ríase el show                       Raúl Campos, Jan Suter   \n",
       "Daniel Sosa: Sosafado                                Raúl Campos, Jan Suter   \n",
       "Ricardo O'Farrill: Abrazo navideño                   Raúl Campos, Jan Suter   \n",
       "Alan Saldaña: Mi vida de pobre                       Raúl Campos, Jan Suter   \n",
       "Todo lo que sería Lucas Lauriente                    Raúl Campos, Jan Suter   \n",
       "\n",
       "                                                                                          cast  \\\n",
       "title                                                                                            \n",
       "El Especial de Alex Fernández, el Especial                                      Alex Fernández   \n",
       "Carlos Ballarta: El amor es de putos                                           Carlos Ballarta   \n",
       "Mea Culpa                                                                       Alexis de Anda   \n",
       "Simplemente Manu NNa                                                                  Manu NNa   \n",
       "Fernando Sanjiao: Hombre                                                      Fernando Sanjiao   \n",
       "Carlos Ballarta: Furia Ñera                                                    Carlos Ballarta   \n",
       "Sofía Niño de Rivera: Selección Natural                                   Sofía Niño de Rivera   \n",
       "Malena Pichot: Estupidez compleja                                                Malena Pichot   \n",
       "Natalia Valdebenito: El especial                                           Natalia Valdebenito   \n",
       "Jani Dueñas: Grandes fracasos de ayer y hoy                                        Jani Dueñas   \n",
       "Sofía Niño de Rivera: Exposed                                             Sofía Niño de Rivera   \n",
       "Luciano Mellera: Infantiloide                                                  Luciano Mellera   \n",
       "Coco y Raulito: Carrusel de ternura                                   Coco Celis, Raúl Meneses   \n",
       "Sebastián Marcelo Wainraich                                        Sebastián Marcelo Wainraich   \n",
       "Ricardo Quevedo: Hay gente así                                                 Ricardo Quevedo   \n",
       "Ricardo O'Farrill Abrazo Genial                                              Ricardo O'Farrill   \n",
       "Arango y Sanint: Ríase el show                                   Julián Arango, Antonio Sanint   \n",
       "Daniel Sosa: Sosafado                                                              Daniel Sosa   \n",
       "Ricardo O'Farrill: Abrazo navideño           Ricardo O'Farrill, Carlos Ballarta, Sofía Niño...   \n",
       "Alan Saldaña: Mi vida de pobre                                                    Alan Saldaña   \n",
       "Todo lo que sería Lucas Lauriente                                              Lucas Lauriente   \n",
       "\n",
       "                                               country         date_added  \\\n",
       "title                                                                       \n",
       "El Especial de Alex Fernández, el Especial      Mexico   October 13, 2017   \n",
       "Carlos Ballarta: El amor es de putos            Mexico  November 21, 2016   \n",
       "Mea Culpa                                       Mexico  November 10, 2017   \n",
       "Simplemente Manu NNa                            Mexico        May 5, 2017   \n",
       "Fernando Sanjiao: Hombre                     Argentina       May 25, 2018   \n",
       "Carlos Ballarta: Furia Ñera                     Mexico       May 11, 2018   \n",
       "Sofía Niño de Rivera: Selección Natural         Mexico     March 30, 2018   \n",
       "Malena Pichot: Estupidez compleja            Argentina      March 2, 2018   \n",
       "Natalia Valdebenito: El especial                 Chile      March 2, 2018   \n",
       "Jani Dueñas: Grandes fracasos de ayer y hoy      Chile      June 29, 2018   \n",
       "Sofía Niño de Rivera: Exposed                   Mexico      June 24, 2016   \n",
       "Luciano Mellera: Infantiloide                Argentina       July 6, 2018   \n",
       "Coco y Raulito: Carrusel de ternura             Mexico      July 27, 2018   \n",
       "Sebastián Marcelo Wainraich                  Argentina   January 26, 2018   \n",
       "Ricardo Quevedo: Hay gente así                Colombia   January 24, 2018   \n",
       "Ricardo O'Farrill Abrazo Genial                 Mexico   January 22, 2016   \n",
       "Arango y Sanint: Ríase el show                Colombia   January 17, 2018   \n",
       "Daniel Sosa: Sosafado                           Mexico   February 3, 2017   \n",
       "Ricardo O'Farrill: Abrazo navideño              Mexico  December 12, 2016   \n",
       "Alan Saldaña: Mi vida de pobre                  Mexico     August 4, 2017   \n",
       "Todo lo que sería Lucas Lauriente            Argentina      April 6, 2018   \n",
       "\n",
       "                                             release_year rating duration  \\\n",
       "title                                                                       \n",
       "El Especial de Alex Fernández, el Especial           2017  TV-MA   52 min   \n",
       "Carlos Ballarta: El amor es de putos                 2016  TV-MA   67 min   \n",
       "Mea Culpa                                            2017  TV-MA   54 min   \n",
       "Simplemente Manu NNa                                 2017  TV-MA   72 min   \n",
       "Fernando Sanjiao: Hombre                             2018  TV-MA   63 min   \n",
       "Carlos Ballarta: Furia Ñera                          2018  TV-MA   63 min   \n",
       "Sofía Niño de Rivera: Selección Natural              2018  TV-MA   62 min   \n",
       "Malena Pichot: Estupidez compleja                    2018  TV-MA   51 min   \n",
       "Natalia Valdebenito: El especial                     2018  TV-MA   69 min   \n",
       "Jani Dueñas: Grandes fracasos de ayer y hoy          2018  TV-MA   77 min   \n",
       "Sofía Niño de Rivera: Exposed                        2016  TV-MA   80 min   \n",
       "Luciano Mellera: Infantiloide                        2018  TV-14   66 min   \n",
       "Coco y Raulito: Carrusel de ternura                  2018  TV-MA   57 min   \n",
       "Sebastián Marcelo Wainraich                          2018  TV-MA   49 min   \n",
       "Ricardo Quevedo: Hay gente así                       2018  TV-MA   59 min   \n",
       "Ricardo O'Farrill Abrazo Genial                      2016  TV-MA   92 min   \n",
       "Arango y Sanint: Ríase el show                       2018  TV-MA   62 min   \n",
       "Daniel Sosa: Sosafado                                2017  TV-MA   78 min   \n",
       "Ricardo O'Farrill: Abrazo navideño                   2016  TV-MA   31 min   \n",
       "Alan Saldaña: Mi vida de pobre                       2017  TV-MA   54 min   \n",
       "Todo lo que sería Lucas Lauriente                    2018  TV-MA   78 min   \n",
       "\n",
       "                                                   listed_in  \\\n",
       "title                                                          \n",
       "El Especial de Alex Fernández, el Especial   Stand-Up Comedy   \n",
       "Carlos Ballarta: El amor es de putos         Stand-Up Comedy   \n",
       "Mea Culpa                                    Stand-Up Comedy   \n",
       "Simplemente Manu NNa                         Stand-Up Comedy   \n",
       "Fernando Sanjiao: Hombre                     Stand-Up Comedy   \n",
       "Carlos Ballarta: Furia Ñera                  Stand-Up Comedy   \n",
       "Sofía Niño de Rivera: Selección Natural      Stand-Up Comedy   \n",
       "Malena Pichot: Estupidez compleja            Stand-Up Comedy   \n",
       "Natalia Valdebenito: El especial             Stand-Up Comedy   \n",
       "Jani Dueñas: Grandes fracasos de ayer y hoy  Stand-Up Comedy   \n",
       "Sofía Niño de Rivera: Exposed                Stand-Up Comedy   \n",
       "Luciano Mellera: Infantiloide                Stand-Up Comedy   \n",
       "Coco y Raulito: Carrusel de ternura          Stand-Up Comedy   \n",
       "Sebastián Marcelo Wainraich                  Stand-Up Comedy   \n",
       "Ricardo Quevedo: Hay gente así               Stand-Up Comedy   \n",
       "Ricardo O'Farrill Abrazo Genial              Stand-Up Comedy   \n",
       "Arango y Sanint: Ríase el show               Stand-Up Comedy   \n",
       "Daniel Sosa: Sosafado                        Stand-Up Comedy   \n",
       "Ricardo O'Farrill: Abrazo navideño           Stand-Up Comedy   \n",
       "Alan Saldaña: Mi vida de pobre               Stand-Up Comedy   \n",
       "Todo lo que sería Lucas Lauriente            Stand-Up Comedy   \n",
       "\n",
       "                                                                                   description  \n",
       "title                                                                                           \n",
       "El Especial de Alex Fernández, el Especial   From a Mexico City theme park, energetic stand...  \n",
       "Carlos Ballarta: El amor es de putos         Carlos Ballarta mocks daily life in Mexico, in...  \n",
       "Mea Culpa                                    Raw and outspoken, comedian Alexis de Anda bar...  \n",
       "Simplemente Manu NNa                         Eclectic stand-up comic Manu NNa relays everyd...  \n",
       "Fernando Sanjiao: Hombre                     Argentine actor and comedian Fernando Sanjiao ...  \n",
       "Carlos Ballarta: Furia Ñera                  Mexican comic Carlos Ballarta mocks himself an...  \n",
       "Sofía Niño de Rivera: Selección Natural      Mexico's Sofía Niño de Rivera brings her dark ...  \n",
       "Malena Pichot: Estupidez compleja            An Argentine comedian espouses the values of f...  \n",
       "Natalia Valdebenito: El especial             A Chilean comedian fuses activism with irrever...  \n",
       "Jani Dueñas: Grandes fracasos de ayer y hoy  Chilean comedian and personality Jani Dueñas p...  \n",
       "Sofía Niño de Rivera: Exposed                Self-deprecating comic Sofía Niño de Rivera pu...  \n",
       "Luciano Mellera: Infantiloide                Argentina's Luciano Mellera emphasizes the hum...  \n",
       "Coco y Raulito: Carrusel de ternura          A study in contrasts, comedy partners and good...  \n",
       "Sebastián Marcelo Wainraich                  Argentine comedian Sebastián Wainraich highlig...  \n",
       "Ricardo Quevedo: Hay gente así               Droll comic Ricardo Quevedo hits Bogotá with a...  \n",
       "Ricardo O'Farrill Abrazo Genial              Ricardo O'Farrill brings his sharp, observatio...  \n",
       "Arango y Sanint: Ríase el show               Colombian stand-up comedians Antonio Sanint an...  \n",
       "Daniel Sosa: Sosafado                        Comedian Daniel Sosa inhabits various characte...  \n",
       "Ricardo O'Farrill: Abrazo navideño           The expressive Ricardo O'Farrill uses his astu...  \n",
       "Alan Saldaña: Mi vida de pobre               Mexican comic Alan Saldaña has fun with everyt...  \n",
       "Todo lo que sería Lucas Lauriente            In his stand-up set, Argentine comic Lucas Lau...  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "donnees_jan_suter = data_wo_duplicates[data_wo_duplicates['director'].notna() == True][series.str.contains('Jan Suter')]\n",
    "donnees_jan_suter.set_index('title')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "87bc2145",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sofía Niño de Rivera           3\n",
       "Carlos Ballarta                3\n",
       "Ricardo O'Farrill              2\n",
       "Alex Fernández                 1\n",
       "Sebastián Marcelo Wainraich    1\n",
       "Alan Saldaña                   1\n",
       "Marissa \"Chabe\" Lozano         1\n",
       "Chumel Torres                  1\n",
       "Daniel Sosa                    1\n",
       "Antonio Sanint                 1\n",
       "Julián Arango                  1\n",
       "Ricardo Quevedo                1\n",
       "Raúl Meneses                   1\n",
       "Coco Celis                     1\n",
       "Luciano Mellera                1\n",
       "Jani Dueñas                    1\n",
       "Natalia Valdebenito            1\n",
       "Malena Pichot                  1\n",
       "Fernando Sanjiao               1\n",
       "Manu NNa                       1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "donnees_jan_suter_count = pd.Series(\", \".join(donnees_jan_suter[\"cast\"].dropna()).split(\", \"))\n",
    "donnees_jan_suter_count.value_counts().head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "74af6049",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title\n",
       "Norm of the North: King Sized Adventure        United States, India, South Korea, China\n",
       "Jandino: Whatever it Takes                                               United Kingdom\n",
       "Transformers Prime                                                        United States\n",
       "Transformers: Robots in Disguise                                          United States\n",
       "#realityhigh                                                              United States\n",
       "                                                                 ...                   \n",
       "Red vs. Blue                                                              United States\n",
       "Maron                                                                     United States\n",
       "Little Baby Bum: Nursery Rhyme Friends                                              NaN\n",
       "A Young Doctor's Notebook and Other Stories                              United Kingdom\n",
       "Friends                                                                   United States\n",
       "Name: country, Length: 6234, dtype: object"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 14 # Top ten countries\n",
    "data.set_index('title').loc[:,'country']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "2680993a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "show_id\n",
       "81145628    United States, India, South Korea, China\n",
       "80117401                              United Kingdom\n",
       "70234439                               United States\n",
       "80058654                               United States\n",
       "80125979                               United States\n",
       "                              ...                   \n",
       "80000063                               United States\n",
       "70286564                               United States\n",
       "80116008                                         NaN\n",
       "70281022                              United Kingdom\n",
       "70153404                               United States\n",
       "Name: country, Length: 6233, dtype: object"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_wo_duplicates.country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "f562d639",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "United States     2609\n",
       "India              837\n",
       "United Kingdom     601\n",
       "Canada             318\n",
       "France             271\n",
       "Japan              231\n",
       "Spain              178\n",
       "South Korea        162\n",
       "Germany            151\n",
       "Mexico             129\n",
       "dtype: int64"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countries = pd.Series(\", \".join(data_wo_duplicates[\"country\"].dropna()).split(\", \"))\n",
    "#\n",
    "countries.value_counts().head(10) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "5c49ef47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(13,7))\n",
    "g = sns.countplot(y = countries, order=countries.value_counts().index[:15])\n",
    "plt.title('Top 15 Countries Contributor on Netflix')\n",
    "plt.xlabel('Titles')\n",
    "plt.ylabel('Country')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "63727aab",
   "metadata": {},
   "outputs": [],
   "source": [
    "filtered_countries = data_wo_duplicates.set_index('title').country.str.split(', ', expand=True).stack().reset_index(level=1, drop=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "2f6cf4f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(13,7))\n",
    "g = sns.countplot(y = filtered_countries, order=filtered_countries.value_counts().index[:15])\n",
    "plt.title('Top 15 Countries Contributor on Netflix')\n",
    "plt.xlabel('Titles')\n",
    "plt.ylabel('Country')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "8a515259",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['TV-PG', 'TV-MA', 'TV-Y7-FV', 'TV-Y7', 'TV-14', 'R', 'TV-Y', 'NR',\n",
       "       'PG-13', 'TV-G', 'PG', 'G', nan, 'UR', 'NC-17'], dtype=object)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 15 # Number of films per ratings\n",
    "order = data.rating.unique()\n",
    "order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "7cd1ed7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "netflix_movies_df = data_wo_duplicates[data_wo_duplicates.type.str.contains(\"Movie\")]\n",
    "netflix_shows_df = data_wo_duplicates[data_wo_duplicates.type.str.contains(\"TV Show\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "f5c252f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NC-17</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NR</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1347</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "      <td>TV-Y7-FV</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>UR</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      rating  title\n",
       "0          G     36\n",
       "1      NC-17      2\n",
       "2         NR    202\n",
       "3         PG    183\n",
       "4      PG-13    286\n",
       "5          R    506\n",
       "6      TV-14   1038\n",
       "7       TV-G     80\n",
       "8      TV-MA   1347\n",
       "9      TV-PG    432\n",
       "10      TV-Y     41\n",
       "11     TV-Y7     69\n",
       "12  TV-Y7-FV     27\n",
       "13        UR      7"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_movies = netflix_movies_df.groupby('rating')['title'].count().reset_index()\n",
    "count_movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "3ef7f303",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>TV-G</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>TV-Y</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>TV-Y7-FV</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      rating  title\n",
       "0          G      1\n",
       "1         NR     16\n",
       "2         PG      1\n",
       "3          R      2\n",
       "4      TV-14    660\n",
       "5       TV-G     69\n",
       "6      TV-MA    679\n",
       "7      TV-PG    269\n",
       "8       TV-Y    102\n",
       "9      TV-Y7    100\n",
       "10  TV-Y7-FV     68"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_shows = netflix_shows_df.groupby('rating')['title'].count().reset_index()\n",
    "count_shows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "f1707e9f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "    </tr>\n",
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       "    </tr>\n",
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       "      <th>8</th>\n",
       "      <td>TV-Y</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
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       "      <th>9</th>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>100</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>TV-Y7-FV</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>UR</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      rating  title\n",
       "0          G      1\n",
       "11     NC-17      0\n",
       "1         NR     16\n",
       "2         PG      1\n",
       "12     PG-13      0\n",
       "3          R      2\n",
       "4      TV-14    660\n",
       "5       TV-G     69\n",
       "6      TV-MA    679\n",
       "7      TV-PG    269\n",
       "8       TV-Y    102\n",
       "9      TV-Y7    100\n",
       "10  TV-Y7-FV     68\n",
       "13        UR      0"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_shows = count_shows.append([{\"rating\" : \"NC-17\", \"title\" : 0},{\"rating\" : \"PG-13\", \"title\" : 0},{\"rating\" : \"UR\", \"title\" : 0}], ignore_index=True)\n",
    "count_shows.sort_values(by=\"rating\", ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "d8218b65",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(13,7))\n",
    "plt.title('Amount of Content by Rating (Movies vs TV Shows)')\n",
    "plt.bar(count_movies.rating, count_movies.title)\n",
    "plt.bar(count_movies.rating, count_shows.title, bottom=count_movies.title)\n",
    "plt.legend(['TV Shows', 'Movies'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "4f128d5b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\phili\\AppData\\Local\\Temp/ipykernel_23448/2513944571.py:2: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access\n",
      "  data.year_added = pd.DatetimeIndex(data.date_added).year\n",
      "C:\\Users\\phili\\AppData\\Local\\Temp/ipykernel_23448/2513944571.py:3: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access\n",
      "  netflix_movies_df.year_added = pd.DatetimeIndex(netflix_movies_df.date_added).year\n",
      "C:\\Users\\phili\\AppData\\Local\\Temp/ipykernel_23448/2513944571.py:4: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access\n",
      "  netflix_shows_df.year_added = pd.DatetimeIndex(netflix_shows_df.date_added).year\n"
     ]
    }
   ],
   "source": [
    "# 16 # Evolution of number of movies / TV show along the time\n",
    "data.year_added = pd.DatetimeIndex(data.date_added).year\n",
    "netflix_movies_df.year_added = pd.DatetimeIndex(netflix_movies_df.date_added).year\n",
    "netflix_shows_df.year_added = pd.DatetimeIndex(netflix_shows_df.date_added).year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "2424d1fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "netflix_year_df = data.year_added.value_counts().to_frame().reset_index().rename(columns={\"index\": \"year\", \"year_added\":\"count\"})\n",
    "movies_year_df = netflix_movies_df.year_added.value_counts().to_frame().reset_index().rename(columns={\"index\": \"year\", \"year_added\":\"count\"})\n",
    "shows_year_df = netflix_shows_df.year_added.value_counts().to_frame().reset_index().rename(columns={\"index\": \"year\", \"year_added\":\"count\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "a039c624",
   "metadata": {},
   "outputs": [],
   "source": [
    "netflix_year_df = netflix_year_df[netflix_year_df.year != 2020]\n",
    "movies_year_df = movies_year_df[movies_year_df != 2020]\n",
    "shows_year_df = shows_year_df[shows_year_df != 2020]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "407d9c38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(13, 7))\n",
    "sns.lineplot(data=netflix_year_df, x='year', y='date_added')\n",
    "sns.lineplot(data=movies_year_df, x='year', y='date_added')\n",
    "sns.lineplot(data=shows_year_df, x='year', y='date_added')\n",
    "ax.set_xticks(np.arange(2008, 2020, 1))\n",
    "plt.title('Total content added across all years (up to 2019)')\n",
    "plt.legend(['Total','Movie','TV Show'])\n",
    "plt.ylabel('Releases')\n",
    "plt.xlabel('Year')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "9fc0731c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title\n",
       "Norm of the North: King Sized Adventure            90 min\n",
       "Jandino: Whatever it Takes                         94 min\n",
       "Transformers Prime                               1 Season\n",
       "Transformers: Robots in Disguise                 1 Season\n",
       "#realityhigh                                       99 min\n",
       "                                                  ...    \n",
       "Red vs. Blue                                   13 Seasons\n",
       "Maron                                           4 Seasons\n",
       "Little Baby Bum: Nursery Rhyme Friends             60 min\n",
       "A Young Doctor's Notebook and Other Stories     2 Seasons\n",
       "Friends                                        10 Seasons\n",
       "Name: duration, Length: 6234, dtype: object"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 17 # Movies duration distribution\n",
    "data.set_index('title').loc[:,'duration']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "43afca79",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\phili\\AppData\\Local\\Temp/ipykernel_23448/1543076069.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data_Movie['Durée'] = data_Movie['duration']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        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>type</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "      <th>Durée</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Norm of the North: King Sized Adventure</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Richard Finn, Tim Maltby</td>\n",
       "      <td>Alan Marriott, Andrew Toth, Brian Dobson, Cole...</td>\n",
       "      <td>United States, India, South Korea, China</td>\n",
       "      <td>September 9, 2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Children &amp; Family Movies, Comedies</td>\n",
       "      <td>Before planning an awesome wedding for his gra...</td>\n",
       "      <td>90 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jandino: Whatever it Takes</th>\n",
       "      <td>Movie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jandino Asporaat</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>September 9, 2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>94 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Jandino Asporaat riffs on the challenges of ra...</td>\n",
       "      <td>94 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>#realityhigh</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Fernando Lebrija</td>\n",
       "      <td>Nesta Cooper, Kate Walsh, John Michael Higgins...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>99 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>When nerdy high schooler Dani finally attracts...</td>\n",
       "      <td>99 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Automata</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Gabe Ibáñez</td>\n",
       "      <td>Antonio Banderas, Dylan McDermott, Melanie Gri...</td>\n",
       "      <td>Bulgaria, United States, Spain, Canada</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2014</td>\n",
       "      <td>R</td>\n",
       "      <td>110 min</td>\n",
       "      <td>International Movies, Sci-Fi &amp; Fantasy, Thrillers</td>\n",
       "      <td>In a dystopian future, an insurance adjuster f...</td>\n",
       "      <td>110 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fabrizio Copano: Solo pienso en mi</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Rodrigo Toro, Francisco Schultz</td>\n",
       "      <td>Fabrizio Copano</td>\n",
       "      <td>Chile</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>60 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Fabrizio Copano takes audience participation t...</td>\n",
       "      <td>60 min</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Frank and Cindy</th>\n",
       "      <td>Movie</td>\n",
       "      <td>G.J. Echternkamp</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</td>\n",
       "      <td>April 1, 2016</td>\n",
       "      <td>2007</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>70 min</td>\n",
       "      <td>Documentaries</td>\n",
       "      <td>Frank was a rising pop star when he married Ci...</td>\n",
       "      <td>70 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Frank and Cindy</th>\n",
       "      <td>Movie</td>\n",
       "      <td>G.J. Echternkamp</td>\n",
       "      <td>Rene Russo, Oliver Platt, Johnny Simmons, Jane...</td>\n",
       "      <td>United States</td>\n",
       "      <td>April 1, 2016</td>\n",
       "      <td>2015</td>\n",
       "      <td>R</td>\n",
       "      <td>102 min</td>\n",
       "      <td>Comedies, Dramas, Independent Movies</td>\n",
       "      <td>A student filmmaker vengefully turns his camer...</td>\n",
       "      <td>102 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iverson</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Zatella Beatty</td>\n",
       "      <td>Allen Iverson</td>\n",
       "      <td>United States</td>\n",
       "      <td>April 1, 2016</td>\n",
       "      <td>2014</td>\n",
       "      <td>NR</td>\n",
       "      <td>88 min</td>\n",
       "      <td>Documentaries, Sports Movies</td>\n",
       "      <td>This unfiltered documentary follows the rocky ...</td>\n",
       "      <td>88 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jeremy Scott: The People's Designer</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Vlad Yudin</td>\n",
       "      <td>Jeremy Scott</td>\n",
       "      <td>United States</td>\n",
       "      <td>April 1, 2016</td>\n",
       "      <td>2015</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>109 min</td>\n",
       "      <td>Documentaries</td>\n",
       "      <td>The journey of fashion designer Jeremy Scott f...</td>\n",
       "      <td>109 min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Little Baby Bum: Nursery Rhyme Friends</th>\n",
       "      <td>Movie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60 min</td>\n",
       "      <td>Movies</td>\n",
       "      <td>Nursery rhymes and original music for children...</td>\n",
       "      <td>60 min</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4265 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          type  \\\n",
       "title                                            \n",
       "Norm of the North: King Sized Adventure  Movie   \n",
       "Jandino: Whatever it Takes               Movie   \n",
       "#realityhigh                             Movie   \n",
       "Automata                                 Movie   \n",
       "Fabrizio Copano: Solo pienso en mi       Movie   \n",
       "...                                        ...   \n",
       "Frank and Cindy                          Movie   \n",
       "Frank and Cindy                          Movie   \n",
       "Iverson                                  Movie   \n",
       "Jeremy Scott: The People's Designer      Movie   \n",
       "Little Baby Bum: Nursery Rhyme Friends   Movie   \n",
       "\n",
       "                                                                director  \\\n",
       "title                                                                      \n",
       "Norm of the North: King Sized Adventure         Richard Finn, Tim Maltby   \n",
       "Jandino: Whatever it Takes                                           NaN   \n",
       "#realityhigh                                            Fernando Lebrija   \n",
       "Automata                                                     Gabe Ibáñez   \n",
       "Fabrizio Copano: Solo pienso en mi       Rodrigo Toro, Francisco Schultz   \n",
       "...                                                                  ...   \n",
       "Frank and Cindy                                         G.J. Echternkamp   \n",
       "Frank and Cindy                                         G.J. Echternkamp   \n",
       "Iverson                                                   Zatella Beatty   \n",
       "Jeremy Scott: The People's Designer                           Vlad Yudin   \n",
       "Little Baby Bum: Nursery Rhyme Friends                               NaN   \n",
       "\n",
       "                                                                                      cast  \\\n",
       "title                                                                                        \n",
       "Norm of the North: King Sized Adventure  Alan Marriott, Andrew Toth, Brian Dobson, Cole...   \n",
       "Jandino: Whatever it Takes                                                Jandino Asporaat   \n",
       "#realityhigh                             Nesta Cooper, Kate Walsh, John Michael Higgins...   \n",
       "Automata                                 Antonio Banderas, Dylan McDermott, Melanie Gri...   \n",
       "Fabrizio Copano: Solo pienso en mi                                         Fabrizio Copano   \n",
       "...                                                                                    ...   \n",
       "Frank and Cindy                                                                        NaN   \n",
       "Frank and Cindy                          Rene Russo, Oliver Platt, Johnny Simmons, Jane...   \n",
       "Iverson                                                                      Allen Iverson   \n",
       "Jeremy Scott: The People's Designer                                           Jeremy Scott   \n",
       "Little Baby Bum: Nursery Rhyme Friends                                                 NaN   \n",
       "\n",
       "                                                                          country  \\\n",
       "title                                                                               \n",
       "Norm of the North: King Sized Adventure  United States, India, South Korea, China   \n",
       "Jandino: Whatever it Takes                                         United Kingdom   \n",
       "#realityhigh                                                        United States   \n",
       "Automata                                   Bulgaria, United States, Spain, Canada   \n",
       "Fabrizio Copano: Solo pienso en mi                                          Chile   \n",
       "...                                                                           ...   \n",
       "Frank and Cindy                                                     United States   \n",
       "Frank and Cindy                                                     United States   \n",
       "Iverson                                                             United States   \n",
       "Jeremy Scott: The People's Designer                                 United States   \n",
       "Little Baby Bum: Nursery Rhyme Friends                                        NaN   \n",
       "\n",
       "                                                date_added  release_year  \\\n",
       "title                                                                      \n",
       "Norm of the North: King Sized Adventure  September 9, 2019          2019   \n",
       "Jandino: Whatever it Takes               September 9, 2016          2016   \n",
       "#realityhigh                             September 8, 2017          2017   \n",
       "Automata                                 September 8, 2017          2014   \n",
       "Fabrizio Copano: Solo pienso en mi       September 8, 2017          2017   \n",
       "...                                                    ...           ...   \n",
       "Frank and Cindy                              April 1, 2016          2007   \n",
       "Frank and Cindy                              April 1, 2016          2015   \n",
       "Iverson                                      April 1, 2016          2014   \n",
       "Jeremy Scott: The People's Designer          April 1, 2016          2015   \n",
       "Little Baby Bum: Nursery Rhyme Friends                 NaN          2016   \n",
       "\n",
       "                                        rating duration  \\\n",
       "title                                                     \n",
       "Norm of the North: King Sized Adventure  TV-PG   90 min   \n",
       "Jandino: Whatever it Takes               TV-MA   94 min   \n",
       "#realityhigh                             TV-14   99 min   \n",
       "Automata                                     R  110 min   \n",
       "Fabrizio Copano: Solo pienso en mi       TV-MA   60 min   \n",
       "...                                        ...      ...   \n",
       "Frank and Cindy                          TV-MA   70 min   \n",
       "Frank and Cindy                              R  102 min   \n",
       "Iverson                                     NR   88 min   \n",
       "Jeremy Scott: The People's Designer      PG-13  109 min   \n",
       "Little Baby Bum: Nursery Rhyme Friends     NaN   60 min   \n",
       "\n",
       "                                                                                 listed_in  \\\n",
       "title                                                                                        \n",
       "Norm of the North: King Sized Adventure                 Children & Family Movies, Comedies   \n",
       "Jandino: Whatever it Takes                                                 Stand-Up Comedy   \n",
       "#realityhigh                                                                      Comedies   \n",
       "Automata                                 International Movies, Sci-Fi & Fantasy, Thrillers   \n",
       "Fabrizio Copano: Solo pienso en mi                                         Stand-Up Comedy   \n",
       "...                                                                                    ...   \n",
       "Frank and Cindy                                                              Documentaries   \n",
       "Frank and Cindy                                       Comedies, Dramas, Independent Movies   \n",
       "Iverson                                                       Documentaries, Sports Movies   \n",
       "Jeremy Scott: The People's Designer                                          Documentaries   \n",
       "Little Baby Bum: Nursery Rhyme Friends                                              Movies   \n",
       "\n",
       "                                                                               description  \\\n",
       "title                                                                                        \n",
       "Norm of the North: King Sized Adventure  Before planning an awesome wedding for his gra...   \n",
       "Jandino: Whatever it Takes               Jandino Asporaat riffs on the challenges of ra...   \n",
       "#realityhigh                             When nerdy high schooler Dani finally attracts...   \n",
       "Automata                                 In a dystopian future, an insurance adjuster f...   \n",
       "Fabrizio Copano: Solo pienso en mi       Fabrizio Copano takes audience participation t...   \n",
       "...                                                                                    ...   \n",
       "Frank and Cindy                          Frank was a rising pop star when he married Ci...   \n",
       "Frank and Cindy                          A student filmmaker vengefully turns his camer...   \n",
       "Iverson                                  This unfiltered documentary follows the rocky ...   \n",
       "Jeremy Scott: The People's Designer      The journey of fashion designer Jeremy Scott f...   \n",
       "Little Baby Bum: Nursery Rhyme Friends   Nursery rhymes and original music for children...   \n",
       "\n",
       "                                           Durée  \n",
       "title                                             \n",
       "Norm of the North: King Sized Adventure   90 min  \n",
       "Jandino: Whatever it Takes                94 min  \n",
       "#realityhigh                              99 min  \n",
       "Automata                                 110 min  \n",
       "Fabrizio Copano: Solo pienso en mi        60 min  \n",
       "...                                          ...  \n",
       "Frank and Cindy                           70 min  \n",
       "Frank and Cindy                          102 min  \n",
       "Iverson                                   88 min  \n",
       "Jeremy Scott: The People's Designer      109 min  \n",
       "Little Baby Bum: Nursery Rhyme Friends    60 min  \n",
       "\n",
       "[4265 rows x 11 columns]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_Movie['Durée'] = data_Movie['duration']\n",
    "data_Movie.set_index('title')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "c2933584",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "show_id\n",
       "80988062    312\n",
       "60002818    228\n",
       "60020906    224\n",
       "70090035    214\n",
       "80175798    209\n",
       "           ... \n",
       "80239831     12\n",
       "80114804     12\n",
       "81020543     11\n",
       "81176188     10\n",
       "70304298      3\n",
       "Name: Durée, Length: 4265, dtype: int32"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hist_duree = data_Movie['Durée'].str.replace(\" min\",\"\").astype(int).sort_values(ascending=False)\n",
    "hist_duree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "740e40a3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\phili\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "palette= sns.color_palette([\"#3498db\",\"#e74c3c\"])\n",
    "sns.set_palette(palette)\n",
    "plt.figure(figsize=[15,6])\n",
    "plt.subplot(111)\n",
    "sns.distplot(hist_duree)\n",
    "plt.title(\"Distribution de la durée des films dans le jeu de données Netflix\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "cabcf557",
   "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>type</th>\n",
       "      <th>title</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>show_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>70234439</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>Transformers Prime</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Peter Cullen, Sumalee Montano, Frank Welker, J...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2018</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-Y7-FV</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>With the help of three human allies, the Autob...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80058654</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>Transformers: Robots in Disguise</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Will Friedle, Darren Criss, Constance Zimmer, ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2018</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>When a prison ship crash unleashes hundreds of...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80163890</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>Apaches</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Alberto Ammann, Eloy Azorín, Verónica Echegui,...</td>\n",
       "      <td>Spain</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Crime TV Shows, International TV Shows, Spanis...</td>\n",
       "      <td>A young journalist is forced into a life of cr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80117902</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>Fire Chasers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Docuseries, Science &amp; Nature TV</td>\n",
       "      <td>As California's 2016 fire season rages, brave ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80244601</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>Castle of Stars</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Chaiyapol Pupart, Jintanutda Lummakanon, Worra...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>September 7, 2018</td>\n",
       "      <td>2015</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>International TV Shows, Romantic TV Shows, TV ...</td>\n",
       "      <td>As four couples with different lifestyles go t...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80159925</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>Kikoriki</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Igor Dmitriev</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2010</td>\n",
       "      <td>TV-Y</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>A wacky rabbit and his gang of animal pals hav...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80000063</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>Red vs. Blue</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Burnie Burns, Jason Saldaña, Gustavo Sorola, G...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015</td>\n",
       "      <td>NR</td>\n",
       "      <td>13 Seasons</td>\n",
       "      <td>TV Action &amp; Adventure, TV Comedies, TV Sci-Fi ...</td>\n",
       "      <td>This parody of first-person shooter games, mil...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70286564</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>Maron</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Marc Maron, Judd Hirsch, Josh Brener, Nora Zeh...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>TV Comedies</td>\n",
       "      <td>Marc Maron stars as Marc Maron, who interviews...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70281022</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>A Young Doctor's Notebook and Other Stories</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Daniel Radcliffe, Jon Hamm, Adam Godley, Chris...</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>British TV Shows, TV Comedies, TV Dramas</td>\n",
       "      <td>Set during the Russian Revolution, this comic ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70153404</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>Friends</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jennifer Aniston, Courteney Cox, Lisa Kudrow, ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2003</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>10 Seasons</td>\n",
       "      <td>Classic &amp; Cult TV, TV Comedies</td>\n",
       "      <td>This hit sitcom follows the merry misadventure...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1969 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             type                                        title director  \\\n",
       "show_id                                                                   \n",
       "70234439  TV Show                           Transformers Prime      NaN   \n",
       "80058654  TV Show             Transformers: Robots in Disguise      NaN   \n",
       "80163890  TV Show                                      Apaches      NaN   \n",
       "80117902  TV Show                                 Fire Chasers      NaN   \n",
       "80244601  TV Show                              Castle of Stars      NaN   \n",
       "...           ...                                          ...      ...   \n",
       "80159925  TV Show                                     Kikoriki      NaN   \n",
       "80000063  TV Show                                 Red vs. Blue      NaN   \n",
       "70286564  TV Show                                        Maron      NaN   \n",
       "70281022  TV Show  A Young Doctor's Notebook and Other Stories      NaN   \n",
       "70153404  TV Show                                      Friends      NaN   \n",
       "\n",
       "                                                       cast         country  \\\n",
       "show_id                                                                       \n",
       "70234439  Peter Cullen, Sumalee Montano, Frank Welker, J...   United States   \n",
       "80058654  Will Friedle, Darren Criss, Constance Zimmer, ...   United States   \n",
       "80163890  Alberto Ammann, Eloy Azorín, Verónica Echegui,...           Spain   \n",
       "80117902                                                NaN   United States   \n",
       "80244601  Chaiyapol Pupart, Jintanutda Lummakanon, Worra...             NaN   \n",
       "...                                                     ...             ...   \n",
       "80159925                                      Igor Dmitriev             NaN   \n",
       "80000063  Burnie Burns, Jason Saldaña, Gustavo Sorola, G...   United States   \n",
       "70286564  Marc Maron, Judd Hirsch, Josh Brener, Nora Zeh...   United States   \n",
       "70281022  Daniel Radcliffe, Jon Hamm, Adam Godley, Chris...  United Kingdom   \n",
       "70153404  Jennifer Aniston, Courteney Cox, Lisa Kudrow, ...   United States   \n",
       "\n",
       "                 date_added  release_year    rating    duration  \\\n",
       "show_id                                                           \n",
       "70234439  September 8, 2018          2013  TV-Y7-FV    1 Season   \n",
       "80058654  September 8, 2018          2016     TV-Y7    1 Season   \n",
       "80163890  September 8, 2017          2016     TV-MA    1 Season   \n",
       "80117902  September 8, 2017          2017     TV-MA    1 Season   \n",
       "80244601  September 7, 2018          2015     TV-14    1 Season   \n",
       "...                     ...           ...       ...         ...   \n",
       "80159925                NaN          2010      TV-Y   2 Seasons   \n",
       "80000063                NaN          2015        NR  13 Seasons   \n",
       "70286564                NaN          2016     TV-MA   4 Seasons   \n",
       "70281022                NaN          2013     TV-MA   2 Seasons   \n",
       "70153404                NaN          2003     TV-14  10 Seasons   \n",
       "\n",
       "                                                  listed_in  \\\n",
       "show_id                                                       \n",
       "70234439                                           Kids' TV   \n",
       "80058654                                           Kids' TV   \n",
       "80163890  Crime TV Shows, International TV Shows, Spanis...   \n",
       "80117902                    Docuseries, Science & Nature TV   \n",
       "80244601  International TV Shows, Romantic TV Shows, TV ...   \n",
       "...                                                     ...   \n",
       "80159925                                           Kids' TV   \n",
       "80000063  TV Action & Adventure, TV Comedies, TV Sci-Fi ...   \n",
       "70286564                                        TV Comedies   \n",
       "70281022           British TV Shows, TV Comedies, TV Dramas   \n",
       "70153404                     Classic & Cult TV, TV Comedies   \n",
       "\n",
       "                                                description  \n",
       "show_id                                                      \n",
       "70234439  With the help of three human allies, the Autob...  \n",
       "80058654  When a prison ship crash unleashes hundreds of...  \n",
       "80163890  A young journalist is forced into a life of cr...  \n",
       "80117902  As California's 2016 fire season rages, brave ...  \n",
       "80244601  As four couples with different lifestyles go t...  \n",
       "...                                                     ...  \n",
       "80159925  A wacky rabbit and his gang of animal pals hav...  \n",
       "80000063  This parody of first-person shooter games, mil...  \n",
       "70286564  Marc Maron stars as Marc Maron, who interviews...  \n",
       "70281022  Set during the Russian Revolution, this comic ...  \n",
       "70153404  This hit sitcom follows the merry misadventure...  \n",
       "\n",
       "[1969 rows x 11 columns]"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 18 # Tracer un graphique représentant le nombre de séries par modalité de nombre de saisons\n",
    "data_TVShow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "1ba182b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title\n",
       "Transformers Prime                                  1\n",
       "Prohibition: A Film by Ken Burns and Lynn Novick    1\n",
       "Ken Burns: The Roosevelts: An Intimate History      1\n",
       "Ken Burns: The Civil War                            1\n",
       "Hitler's Circle of Evil                             1\n",
       "                                                   ..\n",
       "The Office (U.S.)                                   9\n",
       "The Walking Dead                                    9\n",
       "Shameless (U.S.)                                    9\n",
       "Club Friday The Series 6                            9\n",
       "LEGO Ninjago: Masters of Spinjitzu                  9\n",
       "Name: duration, Length: 1969, dtype: object"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_TVShow.set_index('title')['duration'].str.replace(\" Seasons\",\"\").str.replace(\" Season\",\"\").sort_values(ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "ba8fb002",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title\n",
       "Transformers Prime                               1 Season\n",
       "Transformers: Robots in Disguise                 1 Season\n",
       "Apaches                                          1 Season\n",
       "Fire Chasers                                     1 Season\n",
       "Castle of Stars                                  1 Season\n",
       "                                                  ...    \n",
       "Kikoriki                                        2 Seasons\n",
       "Red vs. Blue                                   13 Seasons\n",
       "Maron                                           4 Seasons\n",
       "A Young Doctor's Notebook and Other Stories     2 Seasons\n",
       "Friends                                        10 Seasons\n",
       "Name: duration, Length: 1969, dtype: object"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_season = data_TVShow.set_index('title')['duration']\n",
    "count_season"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "3e0a069f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('int32')"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_season = data_TVShow.set_index('title')['duration'].str.replace(\" Seasons\",\"\").str.replace(\"Season\",\"\").astype('int').sort_values(ascending=True)\n",
    "count_season.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "937ac5cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "coun"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "d72f6176",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1     1321\n",
       "2      304\n",
       "3      158\n",
       "4       61\n",
       "5       46\n",
       "6       22\n",
       "7       21\n",
       "8       16\n",
       "9        7\n",
       "10       3\n",
       "11       3\n",
       "12       2\n",
       "13       2\n",
       "15       2\n",
       "14       1\n",
       "Name: duration, dtype: int64"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_season.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "16a67cba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Quantity')"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"darkgrid\")\n",
    "sns.countplot(data = pd.DataFrame(count_season),y='duration', order = np.arange(1, 16, 1),log=True)\n",
    "plt.ylabel('Duration (number of seasons)')\n",
    "plt.xlabel('Quantity')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "5710bb19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='count', ylabel='duration'>"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"darkgrid\")\n",
    "\n",
    "sns.countplot(data = pd.DataFrame(count_season2),y='duration')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1a78788b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}