Movie_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "95de423d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a11ad0b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df= pd.read_csv(\"netflix_titles.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "be8392ce",
   "metadata": {
    "scrolled": false
   },
   "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>show_id</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>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Dick Johnson Is Dead</td>\n",
       "      <td>Kirsten Johnson</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 25, 2021</td>\n",
       "      <td>2020</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Documentaries</td>\n",
       "      <td>As her father nears the end of his life, filmm...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Blood &amp; Water</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Mysteries</td>\n",
       "      <td>After crossing paths at a party, a Cape Town t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Ganglands</td>\n",
       "      <td>Julien Leclercq</td>\n",
       "      <td>Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Crime TV Shows, International TV Shows, TV Act...</td>\n",
       "      <td>To protect his family from a powerful drug lor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s4</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Jailbirds New Orleans</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Docuseries, Reality TV</td>\n",
       "      <td>Feuds, flirtations and toilet talk go down amo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Kota Factory</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...</td>\n",
       "      <td>India</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>International TV Shows, Romantic TV Shows, TV ...</td>\n",
       "      <td>In a city of coaching centers known to train I...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8802</th>\n",
       "      <td>s8803</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zodiac</td>\n",
       "      <td>David Fincher</td>\n",
       "      <td>Mark Ruffalo, Jake Gyllenhaal, Robert Downey J...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 20, 2019</td>\n",
       "      <td>2007</td>\n",
       "      <td>R</td>\n",
       "      <td>158 min</td>\n",
       "      <td>Cult Movies, Dramas, Thrillers</td>\n",
       "      <td>A political cartoonist, a crime reporter and a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8803</th>\n",
       "      <td>s8804</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Zombie Dumb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 1, 2019</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV, Korean TV Shows, TV Comedies</td>\n",
       "      <td>While living alone in a spooky town, a young g...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8804</th>\n",
       "      <td>s8805</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zombieland</td>\n",
       "      <td>Ruben Fleischer</td>\n",
       "      <td>Jesse Eisenberg, Woody Harrelson, Emma Stone, ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 1, 2019</td>\n",
       "      <td>2009</td>\n",
       "      <td>R</td>\n",
       "      <td>88 min</td>\n",
       "      <td>Comedies, Horror Movies</td>\n",
       "      <td>Looking to survive in a world taken over by zo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8805</th>\n",
       "      <td>s8806</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zoom</td>\n",
       "      <td>Peter Hewitt</td>\n",
       "      <td>Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 11, 2020</td>\n",
       "      <td>2006</td>\n",
       "      <td>PG</td>\n",
       "      <td>88 min</td>\n",
       "      <td>Children &amp; Family Movies, Comedies</td>\n",
       "      <td>Dragged from civilian life, a former superhero...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8806</th>\n",
       "      <td>s8807</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zubaan</td>\n",
       "      <td>Mozez Singh</td>\n",
       "      <td>Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...</td>\n",
       "      <td>India</td>\n",
       "      <td>March 2, 2019</td>\n",
       "      <td>2015</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>111 min</td>\n",
       "      <td>Dramas, International Movies, Music &amp; Musicals</td>\n",
       "      <td>A scrappy but poor boy worms his way into a ty...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8807 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     show_id     type                  title         director  \\\n",
       "0         s1    Movie   Dick Johnson Is Dead  Kirsten Johnson   \n",
       "1         s2  TV Show          Blood & Water              NaN   \n",
       "2         s3  TV Show              Ganglands  Julien Leclercq   \n",
       "3         s4  TV Show  Jailbirds New Orleans              NaN   \n",
       "4         s5  TV Show           Kota Factory              NaN   \n",
       "...      ...      ...                    ...              ...   \n",
       "8802   s8803    Movie                 Zodiac    David Fincher   \n",
       "8803   s8804  TV Show            Zombie Dumb              NaN   \n",
       "8804   s8805    Movie             Zombieland  Ruben Fleischer   \n",
       "8805   s8806    Movie                   Zoom     Peter Hewitt   \n",
       "8806   s8807    Movie                 Zubaan      Mozez Singh   \n",
       "\n",
       "                                                   cast        country  \\\n",
       "0                                                   NaN  United States   \n",
       "1     Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...   South Africa   \n",
       "2     Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...            NaN   \n",
       "3                                                   NaN            NaN   \n",
       "4     Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...          India   \n",
       "...                                                 ...            ...   \n",
       "8802  Mark Ruffalo, Jake Gyllenhaal, Robert Downey J...  United States   \n",
       "8803                                                NaN            NaN   \n",
       "8804  Jesse Eisenberg, Woody Harrelson, Emma Stone, ...  United States   \n",
       "8805  Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...  United States   \n",
       "8806  Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...          India   \n",
       "\n",
       "              date_added  release_year rating   duration  \\\n",
       "0     September 25, 2021          2020  PG-13     90 min   \n",
       "1     September 24, 2021          2021  TV-MA  2 Seasons   \n",
       "2     September 24, 2021          2021  TV-MA   1 Season   \n",
       "3     September 24, 2021          2021  TV-MA   1 Season   \n",
       "4     September 24, 2021          2021  TV-MA  2 Seasons   \n",
       "...                  ...           ...    ...        ...   \n",
       "8802   November 20, 2019          2007      R    158 min   \n",
       "8803        July 1, 2019          2018  TV-Y7  2 Seasons   \n",
       "8804    November 1, 2019          2009      R     88 min   \n",
       "8805    January 11, 2020          2006     PG     88 min   \n",
       "8806       March 2, 2019          2015  TV-14    111 min   \n",
       "\n",
       "                                              listed_in  \\\n",
       "0                                         Documentaries   \n",
       "1       International TV Shows, TV Dramas, TV Mysteries   \n",
       "2     Crime TV Shows, International TV Shows, TV Act...   \n",
       "3                                Docuseries, Reality TV   \n",
       "4     International TV Shows, Romantic TV Shows, TV ...   \n",
       "...                                                 ...   \n",
       "8802                     Cult Movies, Dramas, Thrillers   \n",
       "8803             Kids' TV, Korean TV Shows, TV Comedies   \n",
       "8804                            Comedies, Horror Movies   \n",
       "8805                 Children & Family Movies, Comedies   \n",
       "8806     Dramas, International Movies, Music & Musicals   \n",
       "\n",
       "                                            description  \n",
       "0     As her father nears the end of his life, filmm...  \n",
       "1     After crossing paths at a party, a Cape Town t...  \n",
       "2     To protect his family from a powerful drug lor...  \n",
       "3     Feuds, flirtations and toilet talk go down amo...  \n",
       "4     In a city of coaching centers known to train I...  \n",
       "...                                                 ...  \n",
       "8802  A political cartoonist, a crime reporter and a...  \n",
       "8803  While living alone in a spooky town, a young g...  \n",
       "8804  Looking to survive in a world taken over by zo...  \n",
       "8805  Dragged from civilian life, a former superhero...  \n",
       "8806  A scrappy but poor boy worms his way into a ty...  \n",
       "\n",
       "[8807 rows x 12 columns]"
      ]
     },
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     "metadata": {},
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    }
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    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3b2b84a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Movie      6131\n",
       "TV Show    2676\n",
       "Name: type, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"type\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ee32c841",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='type'>"
      ]
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     "execution_count": 6,
     "metadata": {},
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    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"type\"].value_counts().plot(kind=\"pie\",figsize=(6,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "400f5b67",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "ratio= df[\"type\"].value_counts()[0]/ df[\"type\"].value_counts()[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c27bb7da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.2911061285500747"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratio"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3dca645c",
   "metadata": {},
   "source": [
    "# There are almost 3x more \"Movies\" than \"Shows\" on Netflix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ef96e756",
   "metadata": {
    "scrolled": true
   },
   "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>director</th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A. L. Vijay</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A. Raajdheep</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A. Salaam</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A.R. Murugadoss</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aadish Keluskar</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4523</th>\n",
       "      <td>Çagan Irmak</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4524</th>\n",
       "      <td>Ísold Uggadóttir</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4525</th>\n",
       "      <td>Óskar Thór Axelsson</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4526</th>\n",
       "      <td>Ömer Faruk Sorak</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4527</th>\n",
       "      <td>Şenol Sönmez</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4528 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 director  0\n",
       "0             A. L. Vijay  2\n",
       "1            A. Raajdheep  1\n",
       "2               A. Salaam  1\n",
       "3         A.R. Murugadoss  2\n",
       "4         Aadish Keluskar  1\n",
       "...                   ... ..\n",
       "4523          Çagan Irmak  1\n",
       "4524     Ísold Uggadóttir  1\n",
       "4525  Óskar Thór Axelsson  1\n",
       "4526     Ömer Faruk Sorak  2\n",
       "4527         Şenol Sönmez  2\n",
       "\n",
       "[4528 rows x 2 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "directorr=df.groupby([\"director\"]).size().reset_index()\n",
    "directorr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "703ac25b",
   "metadata": {
    "scrolled": true
   },
   "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>director</th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>David Dhawan</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         director  0\n",
       "973  David Dhawan  9"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "directorr[directorr[0]==9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "28a3b3ee",
   "metadata": {
    "scrolled": true
   },
   "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>show_id</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>205</th>\n",
       "      <td>s206</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Kyo Kii... Main Jhuth Nahin Bolta</td>\n",
       "      <td>David Dhawan</td>\n",
       "      <td>Govinda, Sushmita Sen, Rambha, Anupam Kher, Sa...</td>\n",
       "      <td>India</td>\n",
       "      <td>August 27, 2021</td>\n",
       "      <td>2001</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>150 min</td>\n",
       "      <td>Comedies, International Movies, Sci-Fi &amp; Fantasy</td>\n",
       "      <td>The life and career of a lawyer are thrown int...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2270</th>\n",
       "      <td>s2271</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Chashme Baddoor</td>\n",
       "      <td>David Dhawan</td>\n",
       "      <td>Rishi Kapoor, Ali Zafar, Taapsee Pannu, Siddha...</td>\n",
       "      <td>India</td>\n",
       "      <td>July 5, 2020</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>121 min</td>\n",
       "      <td>Comedies, International Movies, Music &amp; Musicals</td>\n",
       "      <td>When pretty new neighbor Seema falls for their...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5009</th>\n",
       "      <td>s5010</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Judwaa 2</td>\n",
       "      <td>David Dhawan</td>\n",
       "      <td>Varun Dhawan, Jacqueline Fernandez, Tapsee Pan...</td>\n",
       "      <td>India</td>\n",
       "      <td>March 1, 2018</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>145 min</td>\n",
       "      <td>Action &amp; Adventure, Comedies, International Mo...</td>\n",
       "      <td>Separated at birth, twins Raja and Prem couldn...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6440</th>\n",
       "      <td>s6441</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Chal Mere Bhai</td>\n",
       "      <td>David Dhawan</td>\n",
       "      <td>Sanjay Dutt, Salman Khan, Karisma Kapoor, Dali...</td>\n",
       "      <td>India</td>\n",
       "      <td>December 31, 2019</td>\n",
       "      <td>2000</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>132 min</td>\n",
       "      <td>Comedies, International Movies, Romantic Movies</td>\n",
       "      <td>When a secretary saves her tycoon boss's life,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6449</th>\n",
       "      <td>s6450</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Chashme Buddoor</td>\n",
       "      <td>David Dhawan</td>\n",
       "      <td>Ali Zafar, Siddharth, Divyendu Sharma, Tapsee ...</td>\n",
       "      <td>India</td>\n",
       "      <td>May 1, 2017</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>121 min</td>\n",
       "      <td>Comedies, International Movies, Music &amp; Musicals</td>\n",
       "      <td>When pretty new neighbor Seema falls for their...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6936</th>\n",
       "      <td>s6937</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Haseena Maan Jaayegi</td>\n",
       "      <td>David Dhawan</td>\n",
       "      <td>Sanjay Dutt, Govinda, Karisma Kapoor, Pooja Ba...</td>\n",
       "      <td>India</td>\n",
       "      <td>March 1, 2018</td>\n",
       "      <td>1999</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>151 min</td>\n",
       "      <td>Action &amp; Adventure, Comedies, Dramas</td>\n",
       "      <td>A millionaire opens the door to comic complica...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7144</th>\n",
       "      <td>s7145</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Judwaa</td>\n",
       "      <td>David Dhawan</td>\n",
       "      <td>Salman Khan, Karisma Kapoor, Rambha, Kader Kha...</td>\n",
       "      <td>India</td>\n",
       "      <td>December 31, 2019</td>\n",
       "      <td>1997</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>133 min</td>\n",
       "      <td>Comedies, International Movies, Romantic Movies</td>\n",
       "      <td>Separated at birth, a pair of identical twins ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7386</th>\n",
       "      <td>s7387</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Maine Pyaar Kyun Kiya</td>\n",
       "      <td>David Dhawan</td>\n",
       "      <td>Salman Khan, Sushmita Sen, Sohail Khan, Katrin...</td>\n",
       "      <td>India</td>\n",
       "      <td>December 31, 2019</td>\n",
       "      <td>2005</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>137 min</td>\n",
       "      <td>Comedies, International Movies, Music &amp; Musicals</td>\n",
       "      <td>After lying to his girlfriend, orthopedic surg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7524</th>\n",
       "      <td>s7525</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Mujhse Shaadi Karogi</td>\n",
       "      <td>David Dhawan</td>\n",
       "      <td>Rajpal Yadav, Amrish Puri, Kader Khan, Shashi ...</td>\n",
       "      <td>India</td>\n",
       "      <td>December 31, 2019</td>\n",
       "      <td>2004</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>158 min</td>\n",
       "      <td>Comedies, International Movies, Romantic Movies</td>\n",
       "      <td>Samir must overcome a hostile horoscope, a hot...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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       "     show_id   type                              title      director  \\\n",
       "205     s206  Movie  Kyo Kii... Main Jhuth Nahin Bolta  David Dhawan   \n",
       "2270   s2271  Movie                    Chashme Baddoor  David Dhawan   \n",
       "5009   s5010  Movie                           Judwaa 2  David Dhawan   \n",
       "6440   s6441  Movie                     Chal Mere Bhai  David Dhawan   \n",
       "6449   s6450  Movie                    Chashme Buddoor  David Dhawan   \n",
       "6936   s6937  Movie               Haseena Maan Jaayegi  David Dhawan   \n",
       "7144   s7145  Movie                             Judwaa  David Dhawan   \n",
       "7386   s7387  Movie              Maine Pyaar Kyun Kiya  David Dhawan   \n",
       "7524   s7525  Movie               Mujhse Shaadi Karogi  David Dhawan   \n",
       "\n",
       "                                                   cast country  \\\n",
       "205   Govinda, Sushmita Sen, Rambha, Anupam Kher, Sa...   India   \n",
       "2270  Rishi Kapoor, Ali Zafar, Taapsee Pannu, Siddha...   India   \n",
       "5009  Varun Dhawan, Jacqueline Fernandez, Tapsee Pan...   India   \n",
       "6440  Sanjay Dutt, Salman Khan, Karisma Kapoor, Dali...   India   \n",
       "6449  Ali Zafar, Siddharth, Divyendu Sharma, Tapsee ...   India   \n",
       "6936  Sanjay Dutt, Govinda, Karisma Kapoor, Pooja Ba...   India   \n",
       "7144  Salman Khan, Karisma Kapoor, Rambha, Kader Kha...   India   \n",
       "7386  Salman Khan, Sushmita Sen, Sohail Khan, Katrin...   India   \n",
       "7524  Rajpal Yadav, Amrish Puri, Kader Khan, Shashi ...   India   \n",
       "\n",
       "             date_added  release_year rating duration  \\\n",
       "205     August 27, 2021          2001  TV-14  150 min   \n",
       "2270       July 5, 2020          2013  TV-14  121 min   \n",
       "5009      March 1, 2018          2017  TV-14  145 min   \n",
       "6440  December 31, 2019          2000  TV-14  132 min   \n",
       "6449        May 1, 2017          2013  TV-PG  121 min   \n",
       "6936      March 1, 2018          1999  TV-PG  151 min   \n",
       "7144  December 31, 2019          1997  TV-14  133 min   \n",
       "7386  December 31, 2019          2005  TV-14  137 min   \n",
       "7524  December 31, 2019          2004  TV-PG  158 min   \n",
       "\n",
       "                                              listed_in  \\\n",
       "205    Comedies, International Movies, Sci-Fi & Fantasy   \n",
       "2270   Comedies, International Movies, Music & Musicals   \n",
       "5009  Action & Adventure, Comedies, International Mo...   \n",
       "6440    Comedies, International Movies, Romantic Movies   \n",
       "6449   Comedies, International Movies, Music & Musicals   \n",
       "6936               Action & Adventure, Comedies, Dramas   \n",
       "7144    Comedies, International Movies, Romantic Movies   \n",
       "7386   Comedies, International Movies, Music & Musicals   \n",
       "7524    Comedies, International Movies, Romantic Movies   \n",
       "\n",
       "                                            description  \n",
       "205   The life and career of a lawyer are thrown int...  \n",
       "2270  When pretty new neighbor Seema falls for their...  \n",
       "5009  Separated at birth, twins Raja and Prem couldn...  \n",
       "6440  When a secretary saves her tycoon boss's life,...  \n",
       "6449  When pretty new neighbor Seema falls for their...  \n",
       "6936  A millionaire opens the door to comic complica...  \n",
       "7144  Separated at birth, a pair of identical twins ...  \n",
       "7386  After lying to his girlfriend, orthopedic surg...  \n",
       "7524  Samir must overcome a hostile horoscope, a hot...  "
      ]
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       "      <td>Rajiv Chilaka</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>Rajiv Chilaka</td>\n",
       "      <td>Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 22, 2021</td>\n",
       "      <td>2011</td>\n",
       "      <td>TV-Y7</td>\n",
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       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>Young lord Krishna has fallen for demoness Maa...</td>\n",
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       "      <th>409</th>\n",
       "      <td>s410</td>\n",
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       "      <td>Rajiv Chilaka</td>\n",
       "      <td>Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 22, 2021</td>\n",
       "      <td>2010</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>66 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>Krishna needs Bheem’s help: The ruined city of...</td>\n",
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       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>s411</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Chhota Bheem And The Broken Amulet</td>\n",
       "      <td>Rajiv Chilaka</td>\n",
       "      <td>Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...</td>\n",
       "      <td>India</td>\n",
       "      <td>July 22, 2021</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>64 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>When a stranger tries to steal an amulet from ...</td>\n",
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       "      <th>411</th>\n",
       "      <td>s412</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Chhota Bheem And The Crown of Valhalla</td>\n",
       "      <td>Rajiv Chilaka</td>\n",
       "      <td>Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 22, 2021</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>64 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>To save the kingdom of Valhalla from invasion ...</td>\n",
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       "      <th>412</th>\n",
       "      <td>s413</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Chhota Bheem and the Incan Adventure</td>\n",
       "      <td>Rajiv Chilaka</td>\n",
       "      <td>Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 22, 2021</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>65 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>When Dholakpur’s princess is kidnapped, Bheem ...</td>\n",
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       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>s414</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Chhota Bheem and The ShiNobi Secret</td>\n",
       "      <td>Rajiv Chilaka</td>\n",
       "      <td>Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 22, 2021</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>64 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>After learning of a samurai village under thre...</td>\n",
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       "      <th>414</th>\n",
       "      <td>s415</td>\n",
       "      <td>Movie</td>\n",
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       "      <td>Rajiv Chilaka</td>\n",
       "      <td>Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 22, 2021</td>\n",
       "      <td>2012</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>68 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>When two evil entities kidnap a princess in a ...</td>\n",
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       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>s416</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Chhota Bheem aur Krishna</td>\n",
       "      <td>Rajiv Chilaka</td>\n",
       "      <td>Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...</td>\n",
       "      <td>India</td>\n",
       "      <td>July 22, 2021</td>\n",
       "      <td>2009</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>68 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>Centuries after the end of a conqueror's rule,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>s417</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Chhota Bheem aur Krishna vs Zimbara</td>\n",
       "      <td>Rajiv Chilaka</td>\n",
       "      <td>Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 22, 2021</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>64 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>A demon of darkness is plotting world dominati...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>s420</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Chhota Bheem: Bheem vs Aliens</td>\n",
       "      <td>Rajiv Chilaka</td>\n",
       "      <td>Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 22, 2021</td>\n",
       "      <td>2010</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>69 min</td>\n",
       "      <td>Children &amp; Family Movies, Sports Movies</td>\n",
       "      <td>Space invaders have kidnapped Dholakpur’s king...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>s421</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Chhota Bheem: Dholakpur to Kathmandu</td>\n",
       "      <td>Rajiv Chilaka</td>\n",
       "      <td>Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 22, 2021</td>\n",
       "      <td>2012</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>70 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>Bheem’s holiday in Nepal takes an unexpected t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>s423</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Chhota Bheem: Journey to Petra</td>\n",
       "      <td>Rajiv Chilaka</td>\n",
       "      <td>Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 22, 2021</td>\n",
       "      <td>2011</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>68 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>The king has been away to meet an old friend, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>s424</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Chhota Bheem: Master of Shaolin</td>\n",
       "      <td>Rajiv Chilaka</td>\n",
       "      <td>Pooja Punabi, Mausam, Julie Tejwani, Rupa Bhim...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 22, 2021</td>\n",
       "      <td>2011</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>74 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>Summoned by a monk to help reclaim a temple fr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>s425</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Chhota Bheem: The Rise of Kirmada</td>\n",
       "      <td>Rajiv Chilaka</td>\n",
       "      <td>Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 22, 2021</td>\n",
       "      <td>2012</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>68 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>Bheem and young lord Krishna team up to protec...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2717</th>\n",
       "      <td>s2718</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Chhota Bheem and the Curse of Damyaan</td>\n",
       "      <td>Rajiv Chilaka</td>\n",
       "      <td>Kaustav Ghosh, Jigna Bhardwaj, Chutki, Rajesh ...</td>\n",
       "      <td>India</td>\n",
       "      <td>April 1, 2020</td>\n",
       "      <td>2012</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>87 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>An evil demon who traded his freedom for immor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6297</th>\n",
       "      <td>s6298</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Bheemayan</td>\n",
       "      <td>Rajiv Chilaka</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>May 10, 2019</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-Y</td>\n",
       "      <td>63 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>It's Diwali! To celebrate, Chhota Bheem and hi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6645</th>\n",
       "      <td>s6646</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Dragonkala Ka Rahasya</td>\n",
       "      <td>Rajiv Chilaka</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>June 18, 2019</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-Y</td>\n",
       "      <td>68 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>Bheem helps to reopen Dragonpur's abandoned ma...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     show_id   type                                              title  \\\n",
       "406     s407  Movie                       Chhota Bheem - Neeli Pahaadi   \n",
       "407     s408  Movie                              Chhota Bheem & Ganesh   \n",
       "408     s409  Movie                 Chhota Bheem & Krishna: Mayanagari   \n",
       "409     s410  Movie  Chhota Bheem & Krishna: Pataliputra- City of t...   \n",
       "410     s411  Movie                 Chhota Bheem And The Broken Amulet   \n",
       "411     s412  Movie             Chhota Bheem And The Crown of Valhalla   \n",
       "412     s413  Movie               Chhota Bheem and the Incan Adventure   \n",
       "413     s414  Movie                Chhota Bheem and The ShiNobi Secret   \n",
       "414     s415  Movie                           Chhota Bheem Aur Hanuman   \n",
       "415     s416  Movie                           Chhota Bheem aur Krishna   \n",
       "416     s417  Movie                Chhota Bheem aur Krishna vs Zimbara   \n",
       "419     s420  Movie                      Chhota Bheem: Bheem vs Aliens   \n",
       "420     s421  Movie               Chhota Bheem: Dholakpur to Kathmandu   \n",
       "422     s423  Movie                     Chhota Bheem: Journey to Petra   \n",
       "423     s424  Movie                    Chhota Bheem: Master of Shaolin   \n",
       "424     s425  Movie                  Chhota Bheem: The Rise of Kirmada   \n",
       "2717   s2718  Movie              Chhota Bheem and the Curse of Damyaan   \n",
       "6297   s6298  Movie                                          Bheemayan   \n",
       "6645   s6646  Movie                              Dragonkala Ka Rahasya   \n",
       "\n",
       "           director                                               cast  \\\n",
       "406   Rajiv Chilaka  Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...   \n",
       "407   Rajiv Chilaka  Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...   \n",
       "408   Rajiv Chilaka  Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...   \n",
       "409   Rajiv Chilaka  Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...   \n",
       "410   Rajiv Chilaka  Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...   \n",
       "411   Rajiv Chilaka  Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...   \n",
       "412   Rajiv Chilaka  Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...   \n",
       "413   Rajiv Chilaka  Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...   \n",
       "414   Rajiv Chilaka  Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...   \n",
       "415   Rajiv Chilaka  Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...   \n",
       "416   Rajiv Chilaka  Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...   \n",
       "419   Rajiv Chilaka  Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...   \n",
       "420   Rajiv Chilaka  Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...   \n",
       "422   Rajiv Chilaka  Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...   \n",
       "423   Rajiv Chilaka  Pooja Punabi, Mausam, Julie Tejwani, Rupa Bhim...   \n",
       "424   Rajiv Chilaka  Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jig...   \n",
       "2717  Rajiv Chilaka  Kaustav Ghosh, Jigna Bhardwaj, Chutki, Rajesh ...   \n",
       "6297  Rajiv Chilaka                                                NaN   \n",
       "6645  Rajiv Chilaka                                                NaN   \n",
       "\n",
       "     country     date_added  release_year rating duration  \\\n",
       "406      NaN  July 22, 2021          2013  TV-Y7   64 min   \n",
       "407      NaN  July 22, 2021          2009  TV-Y7   68 min   \n",
       "408      NaN  July 22, 2021          2011  TV-Y7   67 min   \n",
       "409      NaN  July 22, 2021          2010  TV-Y7   66 min   \n",
       "410    India  July 22, 2021          2013  TV-Y7   64 min   \n",
       "411      NaN  July 22, 2021          2013  TV-Y7   64 min   \n",
       "412      NaN  July 22, 2021          2013  TV-Y7   65 min   \n",
       "413      NaN  July 22, 2021          2013  TV-Y7   64 min   \n",
       "414      NaN  July 22, 2021          2012  TV-Y7   68 min   \n",
       "415    India  July 22, 2021          2009  TV-Y7   68 min   \n",
       "416      NaN  July 22, 2021          2013  TV-Y7   64 min   \n",
       "419      NaN  July 22, 2021          2010  TV-Y7   69 min   \n",
       "420      NaN  July 22, 2021          2012  TV-Y7   70 min   \n",
       "422      NaN  July 22, 2021          2011  TV-Y7   68 min   \n",
       "423      NaN  July 22, 2021          2011  TV-Y7   74 min   \n",
       "424      NaN  July 22, 2021          2012  TV-Y7   68 min   \n",
       "2717   India  April 1, 2020          2012  TV-Y7   87 min   \n",
       "6297     NaN   May 10, 2019          2018   TV-Y   63 min   \n",
       "6645     NaN  June 18, 2019          2018   TV-Y   68 min   \n",
       "\n",
       "                                    listed_in  \\\n",
       "406                  Children & Family Movies   \n",
       "407                  Children & Family Movies   \n",
       "408                  Children & Family Movies   \n",
       "409                  Children & Family Movies   \n",
       "410                  Children & Family Movies   \n",
       "411                  Children & Family Movies   \n",
       "412                  Children & Family Movies   \n",
       "413                  Children & Family Movies   \n",
       "414                  Children & Family Movies   \n",
       "415                  Children & Family Movies   \n",
       "416                  Children & Family Movies   \n",
       "419   Children & Family Movies, Sports Movies   \n",
       "420                  Children & Family Movies   \n",
       "422                  Children & Family Movies   \n",
       "423                  Children & Family Movies   \n",
       "424                  Children & Family Movies   \n",
       "2717                 Children & Family Movies   \n",
       "6297                 Children & Family Movies   \n",
       "6645                 Children & Family Movies   \n",
       "\n",
       "                                            description  \n",
       "406   Things get spooky when Bheem and his buddies t...  \n",
       "407   Bheem and Lord Ganesha join forces to save Dho...  \n",
       "408   Young lord Krishna has fallen for demoness Maa...  \n",
       "409   Krishna needs Bheem’s help: The ruined city of...  \n",
       "410   When a stranger tries to steal an amulet from ...  \n",
       "411   To save the kingdom of Valhalla from invasion ...  \n",
       "412   When Dholakpur’s princess is kidnapped, Bheem ...  \n",
       "413   After learning of a samurai village under thre...  \n",
       "414   When two evil entities kidnap a princess in a ...  \n",
       "415   Centuries after the end of a conqueror's rule,...  \n",
       "416   A demon of darkness is plotting world dominati...  \n",
       "419   Space invaders have kidnapped Dholakpur’s king...  \n",
       "420   Bheem’s holiday in Nepal takes an unexpected t...  \n",
       "422   The king has been away to meet an old friend, ...  \n",
       "423   Summoned by a monk to help reclaim a temple fr...  \n",
       "424   Bheem and young lord Krishna team up to protec...  \n",
       "2717  An evil demon who traded his freedom for immor...  \n",
       "6297  It's Diwali! To celebrate, Chhota Bheem and hi...  \n",
       "6645  Bheem helps to reopen Dragonpur's abandoned ma...  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.director==\"Rajiv Chilaka\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "255b5a0a",
   "metadata": {},
   "outputs": [],
   "source": [
    "directorr.rename(columns={0:\"Number of movies\"},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "92b6e4ed",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "director_df= directorr.groupby([\"Number of movies\"]).size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2042f9df",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Number of movies\n",
       "1     3661\n",
       "2      518\n",
       "3      189\n",
       "4       68\n",
       "5       39\n",
       "6       18\n",
       "7       12\n",
       "8       11\n",
       "9        1\n",
       "10       1\n",
       "11       1\n",
       "12       3\n",
       "13       1\n",
       "14       1\n",
       "16       2\n",
       "18       1\n",
       "19       1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "director_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6a9643c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "director_df.hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3265d8eb",
   "metadata": {},
   "source": [
    "# Majority of the directors made single Movie or TV Show on Netflix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5299d557",
   "metadata": {
    "scrolled": true
   },
   "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>director</th>\n",
       "      <th>type</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A. L. Vijay</td>\n",
       "      <td>Movie</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A. Raajdheep</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A. Salaam</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A.R. Murugadoss</td>\n",
       "      <td>Movie</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aadish Keluskar</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4571</th>\n",
       "      <td>Çagan Irmak</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4572</th>\n",
       "      <td>Ísold Uggadóttir</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4573</th>\n",
       "      <td>Óskar Thór Axelsson</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4574</th>\n",
       "      <td>Ömer Faruk Sorak</td>\n",
       "      <td>Movie</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4575</th>\n",
       "      <td>Şenol Sönmez</td>\n",
       "      <td>Movie</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4576 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 director   type  count\n",
       "0             A. L. Vijay  Movie      2\n",
       "1            A. Raajdheep  Movie      1\n",
       "2               A. Salaam  Movie      1\n",
       "3         A.R. Murugadoss  Movie      2\n",
       "4         Aadish Keluskar  Movie      1\n",
       "...                   ...    ...    ...\n",
       "4571          Çagan Irmak  Movie      1\n",
       "4572     Ísold Uggadóttir  Movie      1\n",
       "4573  Óskar Thór Axelsson  Movie      1\n",
       "4574     Ömer Faruk Sorak  Movie      2\n",
       "4575         Şenol Sönmez  Movie      2\n",
       "\n",
       "[4576 rows x 3 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "directorandtype=df.groupby([\"director\",\"type\"]).size().reset_index()\n",
    "directorandtype\n",
    "directorandtype.rename(columns={0:\"count\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "bce2545d",
   "metadata": {
    "scrolled": true
   },
   "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>director</th>\n",
       "      <th>type</th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A. L. Vijay</td>\n",
       "      <td>Movie</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A. Raajdheep</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A. Salaam</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A.R. Murugadoss</td>\n",
       "      <td>Movie</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aadish Keluskar</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4571</th>\n",
       "      <td>Çagan Irmak</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4572</th>\n",
       "      <td>Ísold Uggadóttir</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4573</th>\n",
       "      <td>Óskar Thór Axelsson</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4574</th>\n",
       "      <td>Ömer Faruk Sorak</td>\n",
       "      <td>Movie</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4575</th>\n",
       "      <td>Şenol Sönmez</td>\n",
       "      <td>Movie</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4354 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 director   type  0\n",
       "0             A. L. Vijay  Movie  2\n",
       "1            A. Raajdheep  Movie  1\n",
       "2               A. Salaam  Movie  1\n",
       "3         A.R. Murugadoss  Movie  2\n",
       "4         Aadish Keluskar  Movie  1\n",
       "...                   ...    ... ..\n",
       "4571          Çagan Irmak  Movie  1\n",
       "4572     Ísold Uggadóttir  Movie  1\n",
       "4573  Óskar Thór Axelsson  Movie  1\n",
       "4574     Ömer Faruk Sorak  Movie  2\n",
       "4575         Şenol Sönmez  Movie  2\n",
       "\n",
       "[4354 rows x 3 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "directorofmovies= directorandtype[directorandtype[\"type\"]==\"Movie\"]\n",
    "directorofmovies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "70f8dc48",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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",
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>director</th>\n",
       "      <th>0</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A. L. Vijay</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A. Raajdheep</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A. Salaam</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A.R. Murugadoss</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aadish Keluskar</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4571</th>\n",
       "      <td>Çagan Irmak</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4572</th>\n",
       "      <td>Ísold Uggadóttir</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4573</th>\n",
       "      <td>Óskar Thór Axelsson</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4574</th>\n",
       "      <td>Ömer Faruk Sorak</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4575</th>\n",
       "      <td>Şenol Sönmez</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4354 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 director  0\n",
       "0             A. L. Vijay  2\n",
       "1            A. Raajdheep  1\n",
       "2               A. Salaam  1\n",
       "3         A.R. Murugadoss  2\n",
       "4         Aadish Keluskar  1\n",
       "...                   ... ..\n",
       "4571          Çagan Irmak  1\n",
       "4572     Ísold Uggadóttir  1\n",
       "4573  Óskar Thór Axelsson  1\n",
       "4574     Ömer Faruk Sorak  2\n",
       "4575         Şenol Sönmez  2\n",
       "\n",
       "[4354 rows x 2 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "directorofmovies.drop([\"type\"],axis=\"columns\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4b9c3b75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "directorofmovies[0].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "962eec1c",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0\n",
       "1     3521\n",
       "2      496\n",
       "3      182\n",
       "4       65\n",
       "5       37\n",
       "6       18\n",
       "7       14\n",
       "8        9\n",
       "9        1\n",
       "10       1\n",
       "11       1\n",
       "12       3\n",
       "13       1\n",
       "14       1\n",
       "15       1\n",
       "16       1\n",
       "18       1\n",
       "19       1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "directorofmovies.groupby(0).size()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f95088a2",
   "metadata": {},
   "source": [
    "# Majority of the directors directed a single movie througout, there is still a high number of directors who directed 2 to 3 movies. There are also some directors who made 9-19 movies too"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "8ee9ebbf",
   "metadata": {
    "scrolled": true
   },
   "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>director</th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Adrien Lagier, Ousmane Ly</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Adrián García Bogliano</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Ah Loong</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Ahmet Katıksız</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Alain Brunard</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4395</th>\n",
       "      <td>Vijay S. Bhanushali</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4403</th>\n",
       "      <td>Vikramaditya Motwane, Anurag Kashyap</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4488</th>\n",
       "      <td>Wouter Bouvijn</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4508</th>\n",
       "      <td>Yasuhiro Irie</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4555</th>\n",
       "      <td>Ziad Doueiri</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>222 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  director  0\n",
       "70               Adrien Lagier, Ousmane Ly  1\n",
       "71                  Adrián García Bogliano  1\n",
       "79                                Ah Loong  1\n",
       "92                          Ahmet Katıksız  1\n",
       "117                          Alain Brunard  1\n",
       "...                                    ... ..\n",
       "4395                   Vijay S. Bhanushali  1\n",
       "4403  Vikramaditya Motwane, Anurag Kashyap  1\n",
       "4488                        Wouter Bouvijn  1\n",
       "4508                         Yasuhiro Irie  1\n",
       "4555                          Ziad Doueiri  1\n",
       "\n",
       "[222 rows x 2 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "directorofshows= directorandtype[directorandtype[\"type\"]==\"TV Show\"]\n",
    "directorofshows.drop([\"type\"],axis=\"columns\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b52e27b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0\n",
       "1    215\n",
       "2      6\n",
       "3      1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_of_shows_per_director=directorofshows.groupby(0).size()\n",
    "count_of_shows_per_director"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54fda8c9",
   "metadata": {},
   "source": [
    "# Most of the directors(215) directed 1 TV Show throughtout, only 6 directors made 2 Shows and only 1 made 3 Shows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "a6cb258a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "74"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.release_year.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "712fbee3",
   "metadata": {},
   "outputs": [],
   "source": [
    "year=df.groupby(\"release_year\").size().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4c183630",
   "metadata": {},
   "outputs": [],
   "source": [
    "year.rename(columns={0:\"Number of releases\"},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "6a5a4312",
   "metadata": {
    "scrolled": true
   },
   "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",
       "      <th>Number of releases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1925</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1942</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1943</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1944</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1945</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2017</td>\n",
       "      <td>1032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2018</td>\n",
       "      <td>1147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2019</td>\n",
       "      <td>1030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2020</td>\n",
       "      <td>953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2021</td>\n",
       "      <td>592</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>74 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    release_year  Number of releases\n",
       "0           1925                   1\n",
       "1           1942                   2\n",
       "2           1943                   3\n",
       "3           1944                   3\n",
       "4           1945                   4\n",
       "..           ...                 ...\n",
       "69          2017                1032\n",
       "70          2018                1147\n",
       "71          2019                1030\n",
       "72          2020                 953\n",
       "73          2021                 592\n",
       "\n",
       "[74 rows x 2 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f5af82e2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'release_year'}>,\n",
       "        <AxesSubplot:title={'center':'Number of releases'}>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "year.hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9182196",
   "metadata": {},
   "source": [
    "To check latest no of releases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "1507509d",
   "metadata": {
    "scrolled": true
   },
   "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",
       "      <th>Number of releases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2016</td>\n",
       "      <td>902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2017</td>\n",
       "      <td>1032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2018</td>\n",
       "      <td>1147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2019</td>\n",
       "      <td>1030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2020</td>\n",
       "      <td>953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2021</td>\n",
       "      <td>592</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    release_year  Number of releases\n",
       "68          2016                 902\n",
       "69          2017                1032\n",
       "70          2018                1147\n",
       "71          2019                1030\n",
       "72          2020                 953\n",
       "73          2021                 592"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year[year.release_year>2015]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "7bbff0e7",
   "metadata": {
    "scrolled": false
   },
   "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",
       "      <th>Number of releases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2018</td>\n",
       "      <td>1147</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    release_year  Number of releases\n",
       "70          2018                1147"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year[year[\"Number of releases\"]== (year[\"Number of releases\"].max())]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "72aa2d90",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "type\n",
       "Movie      767\n",
       "TV Show    380\n",
       "dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"release_year\"]==2018].groupby(\"type\").size()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ac8709c",
   "metadata": {},
   "source": [
    "# Netflix RELEASED the most in 2018 i.e 1147 releases including 767 Movies and 380 Shows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "46bcbf7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "yeartemp= year.drop(70)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "0b644a44",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "release_year          2021\n",
       "Number of releases    1032\n",
       "dtype: int64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yeartemp.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "8553e160",
   "metadata": {
    "scrolled": true
   },
   "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",
       "      <th>Number of releases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2017</td>\n",
       "      <td>1032</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    release_year  Number of releases\n",
       "69          2017                1032"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yeartemp[yeartemp[\"Number of releases\"]==1032]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "e5227ece",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "type\n",
       "Movie      767\n",
       "TV Show    265\n",
       "dtype: int64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.release_year==2017].groupby(\"type\").size()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46626d8c",
   "metadata": {},
   "source": [
    "# SECOND MOST RELEASES were in 2017 with 1032 releases with 767 movies and 265 TV shows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "d0b3e5bc",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "yeartemp= year.drop([70,69])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "baa169dd",
   "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",
       "      <th>Number of releases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1925</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1942</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1943</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1944</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1945</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2015</td>\n",
       "      <td>560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2016</td>\n",
       "      <td>902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2019</td>\n",
       "      <td>1030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2020</td>\n",
       "      <td>953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2021</td>\n",
       "      <td>592</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    release_year  Number of releases\n",
       "0           1925                   1\n",
       "1           1942                   2\n",
       "2           1943                   3\n",
       "3           1944                   3\n",
       "4           1945                   4\n",
       "..           ...                 ...\n",
       "67          2015                 560\n",
       "68          2016                 902\n",
       "71          2019                1030\n",
       "72          2020                 953\n",
       "73          2021                 592\n",
       "\n",
       "[72 rows x 2 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yeartemp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "15e988a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "release_year          2021\n",
       "Number of releases    1030\n",
       "dtype: int64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yeartemp.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "5bf85c7a",
   "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",
       "      <th>Number of releases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2019</td>\n",
       "      <td>1030</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    release_year  Number of releases\n",
       "71          2019                1030"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year[year[\"Number of releases\"]==1030]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "ca47919b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "type\n",
       "Movie      633\n",
       "TV Show    397\n",
       "dtype: int64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"release_year\"]==2019].groupby(\"type\").size()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ecab1c7",
   "metadata": {},
   "source": [
    "# The third most releases were in the year 2019 with 1030 releases including 633 Movies and 397 TV Shows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "be59ad58",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "country\n",
       ", France, Algeria                                       1\n",
       ", South Korea                                           1\n",
       "Argentina                                              56\n",
       "Argentina, Brazil, France, Poland, Germany, Denmark     1\n",
       "Argentina, Chile                                        2\n",
       "                                                       ..\n",
       "Venezuela                                               1\n",
       "Venezuela, Colombia                                     1\n",
       "Vietnam                                                 7\n",
       "West Germany                                            1\n",
       "Zimbabwe                                                1\n",
       "Length: 748, dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(\"country\").size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "da3d1ad9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_exploded= df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "bbf47057",
   "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>show_id</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>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Dick Johnson Is Dead</td>\n",
       "      <td>Kirsten Johnson</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[United States]</td>\n",
       "      <td>September 25, 2021</td>\n",
       "      <td>2020</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Documentaries</td>\n",
       "      <td>As her father nears the end of his life, filmm...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Blood &amp; Water</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...</td>\n",
       "      <td>[South Africa]</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Mysteries</td>\n",
       "      <td>After crossing paths at a party, a Cape Town t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Ganglands</td>\n",
       "      <td>Julien Leclercq</td>\n",
       "      <td>Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Crime TV Shows, International TV Shows, TV Act...</td>\n",
       "      <td>To protect his family from a powerful drug lor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s4</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Jailbirds New Orleans</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Docuseries, Reality TV</td>\n",
       "      <td>Feuds, flirtations and toilet talk go down amo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Kota Factory</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...</td>\n",
       "      <td>[India]</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>International TV Shows, Romantic TV Shows, TV ...</td>\n",
       "      <td>In a city of coaching centers known to train I...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8802</th>\n",
       "      <td>s8803</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zodiac</td>\n",
       "      <td>David Fincher</td>\n",
       "      <td>Mark Ruffalo, Jake Gyllenhaal, Robert Downey J...</td>\n",
       "      <td>[United States]</td>\n",
       "      <td>November 20, 2019</td>\n",
       "      <td>2007</td>\n",
       "      <td>R</td>\n",
       "      <td>158 min</td>\n",
       "      <td>Cult Movies, Dramas, Thrillers</td>\n",
       "      <td>A political cartoonist, a crime reporter and a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8803</th>\n",
       "      <td>s8804</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Zombie Dumb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 1, 2019</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV, Korean TV Shows, TV Comedies</td>\n",
       "      <td>While living alone in a spooky town, a young g...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8804</th>\n",
       "      <td>s8805</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zombieland</td>\n",
       "      <td>Ruben Fleischer</td>\n",
       "      <td>Jesse Eisenberg, Woody Harrelson, Emma Stone, ...</td>\n",
       "      <td>[United States]</td>\n",
       "      <td>November 1, 2019</td>\n",
       "      <td>2009</td>\n",
       "      <td>R</td>\n",
       "      <td>88 min</td>\n",
       "      <td>Comedies, Horror Movies</td>\n",
       "      <td>Looking to survive in a world taken over by zo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8805</th>\n",
       "      <td>s8806</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zoom</td>\n",
       "      <td>Peter Hewitt</td>\n",
       "      <td>Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...</td>\n",
       "      <td>[United States]</td>\n",
       "      <td>January 11, 2020</td>\n",
       "      <td>2006</td>\n",
       "      <td>PG</td>\n",
       "      <td>88 min</td>\n",
       "      <td>Children &amp; Family Movies, Comedies</td>\n",
       "      <td>Dragged from civilian life, a former superhero...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8806</th>\n",
       "      <td>s8807</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zubaan</td>\n",
       "      <td>Mozez Singh</td>\n",
       "      <td>Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...</td>\n",
       "      <td>[India]</td>\n",
       "      <td>March 2, 2019</td>\n",
       "      <td>2015</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>111 min</td>\n",
       "      <td>Dramas, International Movies, Music &amp; Musicals</td>\n",
       "      <td>A scrappy but poor boy worms his way into a ty...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8807 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     show_id     type                  title         director  \\\n",
       "0         s1    Movie   Dick Johnson Is Dead  Kirsten Johnson   \n",
       "1         s2  TV Show          Blood & Water              NaN   \n",
       "2         s3  TV Show              Ganglands  Julien Leclercq   \n",
       "3         s4  TV Show  Jailbirds New Orleans              NaN   \n",
       "4         s5  TV Show           Kota Factory              NaN   \n",
       "...      ...      ...                    ...              ...   \n",
       "8802   s8803    Movie                 Zodiac    David Fincher   \n",
       "8803   s8804  TV Show            Zombie Dumb              NaN   \n",
       "8804   s8805    Movie             Zombieland  Ruben Fleischer   \n",
       "8805   s8806    Movie                   Zoom     Peter Hewitt   \n",
       "8806   s8807    Movie                 Zubaan      Mozez Singh   \n",
       "\n",
       "                                                   cast          country  \\\n",
       "0                                                   NaN  [United States]   \n",
       "1     Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...   [South Africa]   \n",
       "2     Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...              NaN   \n",
       "3                                                   NaN              NaN   \n",
       "4     Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...          [India]   \n",
       "...                                                 ...              ...   \n",
       "8802  Mark Ruffalo, Jake Gyllenhaal, Robert Downey J...  [United States]   \n",
       "8803                                                NaN              NaN   \n",
       "8804  Jesse Eisenberg, Woody Harrelson, Emma Stone, ...  [United States]   \n",
       "8805  Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...  [United States]   \n",
       "8806  Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...          [India]   \n",
       "\n",
       "              date_added  release_year rating   duration  \\\n",
       "0     September 25, 2021          2020  PG-13     90 min   \n",
       "1     September 24, 2021          2021  TV-MA  2 Seasons   \n",
       "2     September 24, 2021          2021  TV-MA   1 Season   \n",
       "3     September 24, 2021          2021  TV-MA   1 Season   \n",
       "4     September 24, 2021          2021  TV-MA  2 Seasons   \n",
       "...                  ...           ...    ...        ...   \n",
       "8802   November 20, 2019          2007      R    158 min   \n",
       "8803        July 1, 2019          2018  TV-Y7  2 Seasons   \n",
       "8804    November 1, 2019          2009      R     88 min   \n",
       "8805    January 11, 2020          2006     PG     88 min   \n",
       "8806       March 2, 2019          2015  TV-14    111 min   \n",
       "\n",
       "                                              listed_in  \\\n",
       "0                                         Documentaries   \n",
       "1       International TV Shows, TV Dramas, TV Mysteries   \n",
       "2     Crime TV Shows, International TV Shows, TV Act...   \n",
       "3                                Docuseries, Reality TV   \n",
       "4     International TV Shows, Romantic TV Shows, TV ...   \n",
       "...                                                 ...   \n",
       "8802                     Cult Movies, Dramas, Thrillers   \n",
       "8803             Kids' TV, Korean TV Shows, TV Comedies   \n",
       "8804                            Comedies, Horror Movies   \n",
       "8805                 Children & Family Movies, Comedies   \n",
       "8806     Dramas, International Movies, Music & Musicals   \n",
       "\n",
       "                                            description  \n",
       "0     As her father nears the end of his life, filmm...  \n",
       "1     After crossing paths at a party, a Cape Town t...  \n",
       "2     To protect his family from a powerful drug lor...  \n",
       "3     Feuds, flirtations and toilet talk go down amo...  \n",
       "4     In a city of coaching centers known to train I...  \n",
       "...                                                 ...  \n",
       "8802  A political cartoonist, a crime reporter and a...  \n",
       "8803  While living alone in a spooky town, a young g...  \n",
       "8804  Looking to survive in a world taken over by zo...  \n",
       "8805  Dragged from civilian life, a former superhero...  \n",
       "8806  A scrappy but poor boy worms his way into a ty...  \n",
       "\n",
       "[8807 rows x 12 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_exploded[\"country\"]= df[\"country\"].str.split(\",\")\n",
    "df_exploded"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "53376f93",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_exploded=df_exploded.explode(\"country\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "a35b6d50",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "197"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_exploded[\"country\"].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "b334d54f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_exploded=df_exploded.groupby(\"country\").size().reset_index().rename(columns={0:\"Number of releases\"}).sort_values(\"Number of releases\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "e3e5ac72",
   "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>country</th>\n",
       "      <th>Number of releases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Ethiopia</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>Greece</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Ghana</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>Canada</td>\n",
       "      <td>271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>United States</td>\n",
       "      <td>479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>India</td>\n",
       "      <td>1008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>United States</td>\n",
       "      <td>3211</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>197 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            country  Number of releases\n",
       "196        Zimbabwe                   1\n",
       "137       Guatemala                   1\n",
       "32         Ethiopia                   1\n",
       "136          Greece                   1\n",
       "36            Ghana                   1\n",
       "..              ...                 ...\n",
       "122          Canada                 271\n",
       "106   United States                 479\n",
       "190  United Kingdom                 628\n",
       "141           India                1008\n",
       "191   United States                3211\n",
       "\n",
       "[197 rows x 2 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_exploded"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "cd7f3989",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_country= df_exploded.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "7d3ee894",
   "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>country</th>\n",
       "      <th>Number of releases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>India</td>\n",
       "      <td>1008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>United States</td>\n",
       "      <td>3211</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            country  Number of releases\n",
       "190  United Kingdom                 628\n",
       "141           India                1008\n",
       "191   United States                3211"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "c04db3c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='country'>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_exploded.tail(15).plot(kind=\"bar\",x=\"country\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3b833a2",
   "metadata": {},
   "source": [
    "# United King stands first for its number of releases with 3211 releases, India stands second with 1008 releases and then United Kingdom stands third with 628 releases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "eb86c5d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_UK= df.copy()\n",
    "df_UK[\"country\"]= df_UK[\"country\"].str.split(\",\")\n",
    "df_UK=df_UK.explode(\"country\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "3951ee09",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_UK=df_UK[df_UK[\"country\"]==\"United States\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "aa293282",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_UK=df_UK.groupby(\"release_year\").size().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "973af1a1",
   "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",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1942</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1943</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1944</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1945</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1946</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2017</td>\n",
       "      <td>381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2018</td>\n",
       "      <td>386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2019</td>\n",
       "      <td>382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2020</td>\n",
       "      <td>352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2021</td>\n",
       "      <td>153</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>69 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    release_year    0\n",
       "0           1942    2\n",
       "1           1943    3\n",
       "2           1944    3\n",
       "3           1945    4\n",
       "4           1946    2\n",
       "..           ...  ...\n",
       "64          2017  381\n",
       "65          2018  386\n",
       "66          2019  382\n",
       "67          2020  352\n",
       "68          2021  153\n",
       "\n",
       "[69 rows x 2 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_UK"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "8a5cebf2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_UK['release_year'] = df_UK[\"release_year\"].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "603ccf7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='release_year'>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_UK.tail(14).plot(kind=\"bar\",x=\"release_year\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "790a3321",
   "metadata": {},
   "source": [
    "# This graph shows the releases from United Kingdom over the years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "4eaade28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['PG-13', 'TV-MA', 'PG', 'TV-14', 'TV-PG', 'TV-Y', 'TV-Y7', 'R',\n",
       "       'TV-G', 'G', 'NC-17', '74 min', '84 min', '66 min', 'NR', nan,\n",
       "       'TV-Y7-FV', 'UR'], dtype=object)"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.rating.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "cf4768aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "ratings= df.groupby(\"rating\").size().reset_index().sort_values(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "704f8898",
   "metadata": {
    "scrolled": true
   },
   "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>rating</th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>66 min</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>74 min</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>84 min</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NC-17</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>UR</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>TV-Y7-FV</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>G</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>NR</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>TV-G</td>\n",
       "      <td>220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>PG</td>\n",
       "      <td>287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>TV-Y</td>\n",
       "      <td>307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>PG-13</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>R</td>\n",
       "      <td>799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>TV-PG</td>\n",
       "      <td>863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>TV-14</td>\n",
       "      <td>2160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>TV-MA</td>\n",
       "      <td>3207</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      rating     0\n",
       "0     66 min     1\n",
       "1     74 min     1\n",
       "2     84 min     1\n",
       "4      NC-17     3\n",
       "16        UR     3\n",
       "15  TV-Y7-FV     6\n",
       "3          G    41\n",
       "5         NR    80\n",
       "10      TV-G   220\n",
       "6         PG   287\n",
       "13      TV-Y   307\n",
       "14     TV-Y7   334\n",
       "7      PG-13   490\n",
       "8          R   799\n",
       "12     TV-PG   863\n",
       "9      TV-14  2160\n",
       "11     TV-MA  3207"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "f6fc3001",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='rating'>"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ratings.tail(5).plot(kind=\"bar\",x=\"rating\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2413a4fa",
   "metadata": {},
   "source": [
    "# Most of the releases are rated TV-MA, second most are rated TV-14 and third, TV-PG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "5708d26b",
   "metadata": {},
   "outputs": [],
   "source": [
    "listed=df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "f67d9d03",
   "metadata": {},
   "outputs": [],
   "source": [
    "listed[\"listed_in\"]=listed[\"listed_in\"].str.split(\",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "1027d216",
   "metadata": {},
   "outputs": [],
   "source": [
    "listed= listed.explode(\"listed_in\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "13ba8466",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>s1</td>\n",
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       "      <td>Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
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       "      <td>s3</td>\n",
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       "      <td>Ganglands</td>\n",
       "      <td>Julien Leclercq</td>\n",
       "      <td>Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Crime TV Shows</td>\n",
       "      <td>To protect his family from a powerful drug lor...</td>\n",
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       "      <th>8805</th>\n",
       "      <td>s8806</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zoom</td>\n",
       "      <td>Peter Hewitt</td>\n",
       "      <td>Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 11, 2020</td>\n",
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       "      <td>88 min</td>\n",
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       "      <td>Dragged from civilian life, a former superhero...</td>\n",
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       "      <th>8805</th>\n",
       "      <td>s8806</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zoom</td>\n",
       "      <td>Peter Hewitt</td>\n",
       "      <td>Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 11, 2020</td>\n",
       "      <td>2006</td>\n",
       "      <td>PG</td>\n",
       "      <td>88 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>Dragged from civilian life, a former superhero...</td>\n",
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       "    <tr>\n",
       "      <th>8806</th>\n",
       "      <td>s8807</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zubaan</td>\n",
       "      <td>Mozez Singh</td>\n",
       "      <td>Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...</td>\n",
       "      <td>India</td>\n",
       "      <td>March 2, 2019</td>\n",
       "      <td>2015</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>111 min</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>A scrappy but poor boy worms his way into a ty...</td>\n",
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       "    <tr>\n",
       "      <th>8806</th>\n",
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       "      <td>Mozez Singh</td>\n",
       "      <td>Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...</td>\n",
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       "      <td>2015</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>111 min</td>\n",
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       "      <td>Music &amp; Musicals</td>\n",
       "      <td>A scrappy but poor boy worms his way into a ty...</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>19323 rows × 12 columns</p>\n",
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      ],
      "text/plain": [
       "     show_id     type                 title         director  \\\n",
       "0         s1    Movie  Dick Johnson Is Dead  Kirsten Johnson   \n",
       "1         s2  TV Show         Blood & Water              NaN   \n",
       "1         s2  TV Show         Blood & Water              NaN   \n",
       "1         s2  TV Show         Blood & Water              NaN   \n",
       "2         s3  TV Show             Ganglands  Julien Leclercq   \n",
       "...      ...      ...                   ...              ...   \n",
       "8805   s8806    Movie                  Zoom     Peter Hewitt   \n",
       "8805   s8806    Movie                  Zoom     Peter Hewitt   \n",
       "8806   s8807    Movie                Zubaan      Mozez Singh   \n",
       "8806   s8807    Movie                Zubaan      Mozez Singh   \n",
       "8806   s8807    Movie                Zubaan      Mozez Singh   \n",
       "\n",
       "                                                   cast        country  \\\n",
       "0                                                   NaN  United States   \n",
       "1     Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...   South Africa   \n",
       "1     Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...   South Africa   \n",
       "1     Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...   South Africa   \n",
       "2     Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...            NaN   \n",
       "...                                                 ...            ...   \n",
       "8805  Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...  United States   \n",
       "8805  Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...  United States   \n",
       "8806  Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...          India   \n",
       "8806  Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...          India   \n",
       "8806  Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...          India   \n",
       "\n",
       "              date_added  release_year rating   duration  \\\n",
       "0     September 25, 2021          2020  PG-13     90 min   \n",
       "1     September 24, 2021          2021  TV-MA  2 Seasons   \n",
       "1     September 24, 2021          2021  TV-MA  2 Seasons   \n",
       "1     September 24, 2021          2021  TV-MA  2 Seasons   \n",
       "2     September 24, 2021          2021  TV-MA   1 Season   \n",
       "...                  ...           ...    ...        ...   \n",
       "8805    January 11, 2020          2006     PG     88 min   \n",
       "8805    January 11, 2020          2006     PG     88 min   \n",
       "8806       March 2, 2019          2015  TV-14    111 min   \n",
       "8806       March 2, 2019          2015  TV-14    111 min   \n",
       "8806       March 2, 2019          2015  TV-14    111 min   \n",
       "\n",
       "                     listed_in  \\\n",
       "0                Documentaries   \n",
       "1       International TV Shows   \n",
       "1                    TV Dramas   \n",
       "1                 TV Mysteries   \n",
       "2               Crime TV Shows   \n",
       "...                        ...   \n",
       "8805  Children & Family Movies   \n",
       "8805                  Comedies   \n",
       "8806                    Dramas   \n",
       "8806      International Movies   \n",
       "8806          Music & Musicals   \n",
       "\n",
       "                                            description  \n",
       "0     As her father nears the end of his life, filmm...  \n",
       "1     After crossing paths at a party, a Cape Town t...  \n",
       "1     After crossing paths at a party, a Cape Town t...  \n",
       "1     After crossing paths at a party, a Cape Town t...  \n",
       "2     To protect his family from a powerful drug lor...  \n",
       "...                                                 ...  \n",
       "8805  Dragged from civilian life, a former superhero...  \n",
       "8805  Dragged from civilian life, a former superhero...  \n",
       "8806  A scrappy but poor boy worms his way into a ty...  \n",
       "8806  A scrappy but poor boy worms his way into a ty...  \n",
       "8806  A scrappy but poor boy worms his way into a ty...  \n",
       "\n",
       "[19323 rows x 12 columns]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "8c4342ce",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Documentaries', 'International TV Shows', ' TV Dramas',\n",
       "       ' TV Mysteries', 'Crime TV Shows', ' International TV Shows',\n",
       "       ' TV Action & Adventure', 'Docuseries', ' Reality TV',\n",
       "       ' Romantic TV Shows', ' TV Comedies', 'TV Dramas', ' TV Horror',\n",
       "       'Children & Family Movies', 'Dramas', ' Independent Movies',\n",
       "       ' International Movies', 'British TV Shows', 'Comedies', ' Dramas',\n",
       "       ' Docuseries', ' Comedies', ' Crime TV Shows', 'TV Comedies',\n",
       "       ' Spanish-Language TV Shows', 'Thrillers', ' Romantic Movies',\n",
       "       ' Music & Musicals', 'Horror Movies', ' Sci-Fi & Fantasy',\n",
       "       ' TV Thrillers', \"Kids' TV\", ' Thrillers', 'Action & Adventure',\n",
       "       ' TV Sci-Fi & Fantasy', ' Classic Movies', ' Horror Movies',\n",
       "       ' Anime Features', 'Reality TV', ' Sports Movies', 'Anime Series',\n",
       "       \" Kids' TV\", 'International Movies', ' Korean TV Shows',\n",
       "       'Sci-Fi & Fantasy', ' Science & Nature TV', ' Teen TV Shows',\n",
       "       ' Cult Movies', 'Classic Movies', 'TV Shows',\n",
       "       ' Children & Family Movies', ' Faith & Spirituality',\n",
       "       ' LGBTQ Movies', 'Stand-Up Comedy', 'TV Action & Adventure',\n",
       "       'Movies', 'Stand-Up Comedy & Talk Shows', 'Classic & Cult TV',\n",
       "       ' Stand-Up Comedy & Talk Shows', 'Anime Features',\n",
       "       ' Documentaries', 'Romantic TV Shows', 'Cult Movies',\n",
       "       'Independent Movies', 'TV Horror', 'Spanish-Language TV Shows',\n",
       "       ' Classic & Cult TV', 'Music & Musicals', 'Romantic Movies',\n",
       "       'LGBTQ Movies', ' Stand-Up Comedy', 'TV Sci-Fi & Fantasy',\n",
       "       'Sports Movies'], dtype=object)"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listed[\"listed_in\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "b4cc053a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\www\\AppData\\Local\\Temp/ipykernel_18052/3511454309.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",
      "  lis[\"listed_in2\"]= np.where(lis[\"listed_in\"].str.startswith(\" \")==False, lis[\"listed_in\"], lis[\"listed_in\"].str[1:])\n"
     ]
    }
   ],
   "source": [
    "lis[\"listed_in2\"]= np.where(lis[\"listed_in\"].str.startswith(\" \")==False, lis[\"listed_in\"], lis[\"listed_in\"].str[1:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "adfc9487",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>show_id</th>\n",
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       "      <td>Julien Leclercq</td>\n",
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       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>TV Action &amp; Adventure</td>\n",
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       "      <td>TV Action &amp; Adventure</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s4</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Jailbirds New Orleans</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Reality TV</td>\n",
       "      <td>Feuds, flirtations and toilet talk go down amo...</td>\n",
       "      <td>Reality TV</td>\n",
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       "      <td>s8804</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Zombie Dumb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 1, 2019</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-Y7</td>\n",
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       "      <td>TV Comedies</td>\n",
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       "      <th>8804</th>\n",
       "      <td>s8805</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zombieland</td>\n",
       "      <td>Ruben Fleischer</td>\n",
       "      <td>Jesse Eisenberg, Woody Harrelson, Emma Stone, ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 1, 2019</td>\n",
       "      <td>2009</td>\n",
       "      <td>R</td>\n",
       "      <td>88 min</td>\n",
       "      <td>Horror Movies</td>\n",
       "      <td>Looking to survive in a world taken over by zo...</td>\n",
       "      <td>Horror Movies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8805</th>\n",
       "      <td>s8806</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zoom</td>\n",
       "      <td>Peter Hewitt</td>\n",
       "      <td>Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 11, 2020</td>\n",
       "      <td>2006</td>\n",
       "      <td>PG</td>\n",
       "      <td>88 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>Dragged from civilian life, a former superhero...</td>\n",
       "      <td>Comedies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8806</th>\n",
       "      <td>s8807</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zubaan</td>\n",
       "      <td>Mozez Singh</td>\n",
       "      <td>Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...</td>\n",
       "      <td>India</td>\n",
       "      <td>March 2, 2019</td>\n",
       "      <td>2015</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>111 min</td>\n",
       "      <td>International Movies</td>\n",
       "      <td>A scrappy but poor boy worms his way into a ty...</td>\n",
       "      <td>International Movies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8806</th>\n",
       "      <td>s8807</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zubaan</td>\n",
       "      <td>Mozez Singh</td>\n",
       "      <td>Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...</td>\n",
       "      <td>India</td>\n",
       "      <td>March 2, 2019</td>\n",
       "      <td>2015</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>111 min</td>\n",
       "      <td>Music &amp; Musicals</td>\n",
       "      <td>A scrappy but poor boy worms his way into a ty...</td>\n",
       "      <td>Music &amp; Musicals</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10516 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     show_id     type                  title         director  \\\n",
       "1         s2  TV Show          Blood & Water              NaN   \n",
       "1         s2  TV Show          Blood & Water              NaN   \n",
       "2         s3  TV Show              Ganglands  Julien Leclercq   \n",
       "2         s3  TV Show              Ganglands  Julien Leclercq   \n",
       "3         s4  TV Show  Jailbirds New Orleans              NaN   \n",
       "...      ...      ...                    ...              ...   \n",
       "8803   s8804  TV Show            Zombie Dumb              NaN   \n",
       "8804   s8805    Movie             Zombieland  Ruben Fleischer   \n",
       "8805   s8806    Movie                   Zoom     Peter Hewitt   \n",
       "8806   s8807    Movie                 Zubaan      Mozez Singh   \n",
       "8806   s8807    Movie                 Zubaan      Mozez Singh   \n",
       "\n",
       "                                                   cast        country  \\\n",
       "1     Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...   South Africa   \n",
       "1     Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...   South Africa   \n",
       "2     Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...            NaN   \n",
       "2     Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...            NaN   \n",
       "3                                                   NaN            NaN   \n",
       "...                                                 ...            ...   \n",
       "8803                                                NaN            NaN   \n",
       "8804  Jesse Eisenberg, Woody Harrelson, Emma Stone, ...  United States   \n",
       "8805  Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...  United States   \n",
       "8806  Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...          India   \n",
       "8806  Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...          India   \n",
       "\n",
       "              date_added  release_year rating   duration  \\\n",
       "1     September 24, 2021          2021  TV-MA  2 Seasons   \n",
       "1     September 24, 2021          2021  TV-MA  2 Seasons   \n",
       "2     September 24, 2021          2021  TV-MA   1 Season   \n",
       "2     September 24, 2021          2021  TV-MA   1 Season   \n",
       "3     September 24, 2021          2021  TV-MA   1 Season   \n",
       "...                  ...           ...    ...        ...   \n",
       "8803        July 1, 2019          2018  TV-Y7  2 Seasons   \n",
       "8804    November 1, 2019          2009      R     88 min   \n",
       "8805    January 11, 2020          2006     PG     88 min   \n",
       "8806       March 2, 2019          2015  TV-14    111 min   \n",
       "8806       March 2, 2019          2015  TV-14    111 min   \n",
       "\n",
       "                   listed_in  \\\n",
       "1                  TV Dramas   \n",
       "1               TV Mysteries   \n",
       "2     International TV Shows   \n",
       "2      TV Action & Adventure   \n",
       "3                 Reality TV   \n",
       "...                      ...   \n",
       "8803             TV Comedies   \n",
       "8804           Horror Movies   \n",
       "8805                Comedies   \n",
       "8806    International Movies   \n",
       "8806        Music & Musicals   \n",
       "\n",
       "                                            description  \\\n",
       "1     After crossing paths at a party, a Cape Town t...   \n",
       "1     After crossing paths at a party, a Cape Town t...   \n",
       "2     To protect his family from a powerful drug lor...   \n",
       "2     To protect his family from a powerful drug lor...   \n",
       "3     Feuds, flirtations and toilet talk go down amo...   \n",
       "...                                                 ...   \n",
       "8803  While living alone in a spooky town, a young g...   \n",
       "8804  Looking to survive in a world taken over by zo...   \n",
       "8805  Dragged from civilian life, a former superhero...   \n",
       "8806  A scrappy but poor boy worms his way into a ty...   \n",
       "8806  A scrappy but poor boy worms his way into a ty...   \n",
       "\n",
       "                  listed_in2  \n",
       "1                  TV Dramas  \n",
       "1               TV Mysteries  \n",
       "2     International TV Shows  \n",
       "2      TV Action & Adventure  \n",
       "3                 Reality TV  \n",
       "...                      ...  \n",
       "8803             TV Comedies  \n",
       "8804           Horror Movies  \n",
       "8805                Comedies  \n",
       "8806    International Movies  \n",
       "8806        Music & Musicals  \n",
       "\n",
       "[10516 rows x 13 columns]"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "cbe2a2a7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['TV Dramas', 'TV Mysteries', 'International TV Shows',\n",
       "       'TV Action & Adventure', 'Reality TV', 'Romantic TV Shows',\n",
       "       'TV Comedies', 'TV Horror', 'Independent Movies',\n",
       "       'International Movies', 'Dramas', 'Docuseries', 'Comedies',\n",
       "       'Crime TV Shows', 'Spanish-Language TV Shows', 'Romantic Movies',\n",
       "       'Music & Musicals', 'Sci-Fi & Fantasy', 'TV Thrillers',\n",
       "       'Thrillers', 'TV Sci-Fi & Fantasy', 'Classic Movies',\n",
       "       'Horror Movies', 'Anime Features', 'Sports Movies', \"Kids' TV\",\n",
       "       'Korean TV Shows', 'Science & Nature TV', 'Teen TV Shows',\n",
       "       'Cult Movies', 'Children & Family Movies', 'Faith & Spirituality',\n",
       "       'LGBTQ Movies', 'Stand-Up Comedy & Talk Shows', 'Documentaries',\n",
       "       'Classic & Cult TV', 'Stand-Up Comedy'], dtype=object)"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lis[\"listed_in2\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "fca2db89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "37"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lis[\"listed_in2\"].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "8007fa7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "liss= lis.groupby(\"listed_in2\").size().sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "48e4cc7a",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='listed_in2'>"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "liss.plot(kind=\"bar\",figsize=(8,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "e31a4fcb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='listed_in2'>"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "liss.tail(5).plot(kind=\"bar\",figsize=(7,7))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b02f56e",
   "metadata": {},
   "source": [
    "# Top releases are \"International Movies\", followed by \"Dramas\", \"Independent Movies\", \"TV Dramas\" and then\"Romantic Movies\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "af511af2",
   "metadata": {
    "scrolled": true
   },
   "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>show_id</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>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Dick Johnson Is Dead</td>\n",
       "      <td>Kirsten Johnson</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 25, 2021</td>\n",
       "      <td>2020</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Documentaries</td>\n",
       "      <td>As her father nears the end of his life, filmm...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Blood &amp; Water</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Mysteries</td>\n",
       "      <td>After crossing paths at a party, a Cape Town t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Ganglands</td>\n",
       "      <td>Julien Leclercq</td>\n",
       "      <td>Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Crime TV Shows, International TV Shows, TV Act...</td>\n",
       "      <td>To protect his family from a powerful drug lor...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  show_id     type                 title         director  \\\n",
       "0      s1    Movie  Dick Johnson Is Dead  Kirsten Johnson   \n",
       "1      s2  TV Show         Blood & Water              NaN   \n",
       "2      s3  TV Show             Ganglands  Julien Leclercq   \n",
       "\n",
       "                                                cast        country  \\\n",
       "0                                                NaN  United States   \n",
       "1  Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...   South Africa   \n",
       "2  Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...            NaN   \n",
       "\n",
       "           date_added  release_year rating   duration  \\\n",
       "0  September 25, 2021          2020  PG-13     90 min   \n",
       "1  September 24, 2021          2021  TV-MA  2 Seasons   \n",
       "2  September 24, 2021          2021  TV-MA   1 Season   \n",
       "\n",
       "                                           listed_in  \\\n",
       "0                                      Documentaries   \n",
       "1    International TV Shows, TV Dramas, TV Mysteries   \n",
       "2  Crime TV Shows, International TV Shows, TV Act...   \n",
       "\n",
       "                                         description  \n",
       "0  As her father nears the end of his life, filmm...  \n",
       "1  After crossing paths at a party, a Cape Town t...  \n",
       "2  To protect his family from a powerful drug lor...  "
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "09d2be40",
   "metadata": {},
   "outputs": [],
   "source": [
    "month=df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "15d0bac5",
   "metadata": {},
   "outputs": [],
   "source": [
    "month[\"date_added\"] = month[\"date_added\"].str[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "3ef69286",
   "metadata": {
    "scrolled": true
   },
   "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>show_id</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>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Dick Johnson Is Dead</td>\n",
       "      <td>Kirsten Johnson</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</td>\n",
       "      <td>Sep</td>\n",
       "      <td>2020</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Documentaries</td>\n",
       "      <td>As her father nears the end of his life, filmm...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Blood &amp; Water</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>Sep</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Mysteries</td>\n",
       "      <td>After crossing paths at a party, a Cape Town t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Ganglands</td>\n",
       "      <td>Julien Leclercq</td>\n",
       "      <td>Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sep</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Crime TV Shows, International TV Shows, TV Act...</td>\n",
       "      <td>To protect his family from a powerful drug lor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s4</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Jailbirds New Orleans</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sep</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Docuseries, Reality TV</td>\n",
       "      <td>Feuds, flirtations and toilet talk go down amo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Kota Factory</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...</td>\n",
       "      <td>India</td>\n",
       "      <td>Sep</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>International TV Shows, Romantic TV Shows, TV ...</td>\n",
       "      <td>In a city of coaching centers known to train I...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8802</th>\n",
       "      <td>s8803</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zodiac</td>\n",
       "      <td>David Fincher</td>\n",
       "      <td>Mark Ruffalo, Jake Gyllenhaal, Robert Downey J...</td>\n",
       "      <td>United States</td>\n",
       "      <td>Nov</td>\n",
       "      <td>2007</td>\n",
       "      <td>R</td>\n",
       "      <td>158 min</td>\n",
       "      <td>Cult Movies, Dramas, Thrillers</td>\n",
       "      <td>A political cartoonist, a crime reporter and a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8803</th>\n",
       "      <td>s8804</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Zombie Dumb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jul</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV, Korean TV Shows, TV Comedies</td>\n",
       "      <td>While living alone in a spooky town, a young g...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8804</th>\n",
       "      <td>s8805</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zombieland</td>\n",
       "      <td>Ruben Fleischer</td>\n",
       "      <td>Jesse Eisenberg, Woody Harrelson, Emma Stone, ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>Nov</td>\n",
       "      <td>2009</td>\n",
       "      <td>R</td>\n",
       "      <td>88 min</td>\n",
       "      <td>Comedies, Horror Movies</td>\n",
       "      <td>Looking to survive in a world taken over by zo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8805</th>\n",
       "      <td>s8806</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zoom</td>\n",
       "      <td>Peter Hewitt</td>\n",
       "      <td>Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...</td>\n",
       "      <td>United States</td>\n",
       "      <td>Jan</td>\n",
       "      <td>2006</td>\n",
       "      <td>PG</td>\n",
       "      <td>88 min</td>\n",
       "      <td>Children &amp; Family Movies, Comedies</td>\n",
       "      <td>Dragged from civilian life, a former superhero...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8806</th>\n",
       "      <td>s8807</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zubaan</td>\n",
       "      <td>Mozez Singh</td>\n",
       "      <td>Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...</td>\n",
       "      <td>India</td>\n",
       "      <td>Mar</td>\n",
       "      <td>2015</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>111 min</td>\n",
       "      <td>Dramas, International Movies, Music &amp; Musicals</td>\n",
       "      <td>A scrappy but poor boy worms his way into a ty...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8807 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     show_id     type                  title         director  \\\n",
       "0         s1    Movie   Dick Johnson Is Dead  Kirsten Johnson   \n",
       "1         s2  TV Show          Blood & Water              NaN   \n",
       "2         s3  TV Show              Ganglands  Julien Leclercq   \n",
       "3         s4  TV Show  Jailbirds New Orleans              NaN   \n",
       "4         s5  TV Show           Kota Factory              NaN   \n",
       "...      ...      ...                    ...              ...   \n",
       "8802   s8803    Movie                 Zodiac    David Fincher   \n",
       "8803   s8804  TV Show            Zombie Dumb              NaN   \n",
       "8804   s8805    Movie             Zombieland  Ruben Fleischer   \n",
       "8805   s8806    Movie                   Zoom     Peter Hewitt   \n",
       "8806   s8807    Movie                 Zubaan      Mozez Singh   \n",
       "\n",
       "                                                   cast        country  \\\n",
       "0                                                   NaN  United States   \n",
       "1     Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...   South Africa   \n",
       "2     Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...            NaN   \n",
       "3                                                   NaN            NaN   \n",
       "4     Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...          India   \n",
       "...                                                 ...            ...   \n",
       "8802  Mark Ruffalo, Jake Gyllenhaal, Robert Downey J...  United States   \n",
       "8803                                                NaN            NaN   \n",
       "8804  Jesse Eisenberg, Woody Harrelson, Emma Stone, ...  United States   \n",
       "8805  Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...  United States   \n",
       "8806  Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...          India   \n",
       "\n",
       "     date_added  release_year rating   duration  \\\n",
       "0           Sep          2020  PG-13     90 min   \n",
       "1           Sep          2021  TV-MA  2 Seasons   \n",
       "2           Sep          2021  TV-MA   1 Season   \n",
       "3           Sep          2021  TV-MA   1 Season   \n",
       "4           Sep          2021  TV-MA  2 Seasons   \n",
       "...         ...           ...    ...        ...   \n",
       "8802        Nov          2007      R    158 min   \n",
       "8803        Jul          2018  TV-Y7  2 Seasons   \n",
       "8804        Nov          2009      R     88 min   \n",
       "8805        Jan          2006     PG     88 min   \n",
       "8806        Mar          2015  TV-14    111 min   \n",
       "\n",
       "                                              listed_in  \\\n",
       "0                                         Documentaries   \n",
       "1       International TV Shows, TV Dramas, TV Mysteries   \n",
       "2     Crime TV Shows, International TV Shows, TV Act...   \n",
       "3                                Docuseries, Reality TV   \n",
       "4     International TV Shows, Romantic TV Shows, TV ...   \n",
       "...                                                 ...   \n",
       "8802                     Cult Movies, Dramas, Thrillers   \n",
       "8803             Kids' TV, Korean TV Shows, TV Comedies   \n",
       "8804                            Comedies, Horror Movies   \n",
       "8805                 Children & Family Movies, Comedies   \n",
       "8806     Dramas, International Movies, Music & Musicals   \n",
       "\n",
       "                                            description  \n",
       "0     As her father nears the end of his life, filmm...  \n",
       "1     After crossing paths at a party, a Cape Town t...  \n",
       "2     To protect his family from a powerful drug lor...  \n",
       "3     Feuds, flirtations and toilet talk go down amo...  \n",
       "4     In a city of coaching centers known to train I...  \n",
       "...                                                 ...  \n",
       "8802  A political cartoonist, a crime reporter and a...  \n",
       "8803  While living alone in a spooky town, a young g...  \n",
       "8804  Looking to survive in a world taken over by zo...  \n",
       "8805  Dragged from civilian life, a former superhero...  \n",
       "8806  A scrappy but poor boy worms his way into a ty...  \n",
       "\n",
       "[8807 rows x 12 columns]"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "22ace825",
   "metadata": {},
   "outputs": [],
   "source": [
    "months= month.groupby(\"date_added\").size().sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "19ef8c67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='date_added'>"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "months.tail(10).plot(kind=\"bar\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bdab52bd",
   "metadata": {},
   "source": [
    "# Netflix releases the most in the month of July, followed by December , September and then April"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6a11df6f",
   "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
}