movie genre classification.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8f8e0d0d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e80aa2b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "netflix_df = pd.read_csv(\"netflix_titles.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7c482676",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_23605_level0_col0\" class=\"col_heading level0 col0\" >Missing Values</th>\n",
       "      <th id=\"T_23605_level0_col1\" class=\"col_heading level0 col1\" >% Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_23605_level0_row0\" class=\"row_heading level0 row0\" >director</th>\n",
       "      <td id=\"T_23605_row0_col0\" class=\"data row0 col0\" >2389</td>\n",
       "      <td id=\"T_23605_row0_col1\" class=\"data row0 col1\" >30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_23605_level0_row1\" class=\"row_heading level0 row1\" >cast</th>\n",
       "      <td id=\"T_23605_row1_col0\" class=\"data row1 col0\" >718</td>\n",
       "      <td id=\"T_23605_row1_col1\" class=\"data row1 col1\" >9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_23605_level0_row2\" class=\"row_heading level0 row2\" >country</th>\n",
       "      <td id=\"T_23605_row2_col0\" class=\"data row2 col0\" >507</td>\n",
       "      <td id=\"T_23605_row2_col1\" class=\"data row2 col1\" >6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_23605_level0_row3\" class=\"row_heading level0 row3\" >date_added</th>\n",
       "      <td id=\"T_23605_row3_col0\" class=\"data row3 col0\" >10</td>\n",
       "      <td id=\"T_23605_row3_col1\" class=\"data row3 col1\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_23605_level0_row4\" class=\"row_heading level0 row4\" >rating</th>\n",
       "      <td id=\"T_23605_row4_col0\" class=\"data row4 col0\" >7</td>\n",
       "      <td id=\"T_23605_row4_col1\" class=\"data row4 col1\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_23605_level0_row5\" class=\"row_heading level0 row5\" >show_id</th>\n",
       "      <td id=\"T_23605_row5_col0\" class=\"data row5 col0\" >0</td>\n",
       "      <td id=\"T_23605_row5_col1\" class=\"data row5 col1\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_23605_level0_row6\" class=\"row_heading level0 row6\" >type</th>\n",
       "      <td id=\"T_23605_row6_col0\" class=\"data row6 col0\" >0</td>\n",
       "      <td id=\"T_23605_row6_col1\" class=\"data row6 col1\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_23605_level0_row7\" class=\"row_heading level0 row7\" >title</th>\n",
       "      <td id=\"T_23605_row7_col0\" class=\"data row7 col0\" >0</td>\n",
       "      <td id=\"T_23605_row7_col1\" class=\"data row7 col1\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_23605_level0_row8\" class=\"row_heading level0 row8\" >release_year</th>\n",
       "      <td id=\"T_23605_row8_col0\" class=\"data row8 col0\" >0</td>\n",
       "      <td id=\"T_23605_row8_col1\" class=\"data row8 col1\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_23605_level0_row9\" class=\"row_heading level0 row9\" >duration</th>\n",
       "      <td id=\"T_23605_row9_col0\" class=\"data row9 col0\" >0</td>\n",
       "      <td id=\"T_23605_row9_col1\" class=\"data row9 col1\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_23605_level0_row10\" class=\"row_heading level0 row10\" >listed_in</th>\n",
       "      <td id=\"T_23605_row10_col0\" class=\"data row10 col0\" >0</td>\n",
       "      <td id=\"T_23605_row10_col1\" class=\"data row10 col1\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_23605_level0_row11\" class=\"row_heading level0 row11\" >description</th>\n",
       "      <td id=\"T_23605_row11_col0\" class=\"data row11 col0\" >0</td>\n",
       "      <td id=\"T_23605_row11_col1\" class=\"data row11 col1\" >0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
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     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "def missing_value_table(df):\n",
    "    missing_value = df.isna().sum().sort_values(ascending=False)\n",
    "    missing_value_percent = 100 * df.isna().sum()//len(df)\n",
    "    missing_value_table = pd.concat([missing_value, missing_value_percent], axis=1)\n",
    "    missing_value_table_return = missing_value_table.rename(columns = {0 : 'Missing Values', 1 : '% Value'})\n",
    "    cm = sns.light_palette(\"green\", as_cmap=True)\n",
    "    missing_value_table_return = missing_value_table_return.style.background_gradient(cmap=cm)\n",
    "    return missing_value_table_return\n",
    "  \n",
    "missing_value_table(netflix_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "73002445",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "rating     0\n",
       "country    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "netflix_df['rating'] = netflix_df['rating'].fillna(netflix_df['rating'].mode()[0])\n",
    "netflix_df['country'] = netflix_df['country'].fillna(netflix_df['country'].mode()[0])\n",
    "netflix_df[['rating','country']].isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "37d206fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "show_id         7787\n",
       "type               2\n",
       "title           7787\n",
       "director        4049\n",
       "cast            6831\n",
       "country          681\n",
       "date_added      1565\n",
       "release_year      73\n",
       "rating            14\n",
       "duration         216\n",
       "listed_in        492\n",
       "description     7769\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "netflix_df.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "55cec5c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>7:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>Movie</td>\n",
       "      <td>23:59</td>\n",
       "      <td>Gilbert Chan</td>\n",
       "      <td>Tedd Chan, Stella Chung, Henley Hii, Lawrence ...</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>December 20, 2018</td>\n",
       "      <td>2011</td>\n",
       "      <td>R</td>\n",
       "      <td>78 min</td>\n",
       "      <td>Horror Movies, International Movies</td>\n",
       "      <td>When an army recruit is found dead, his fellow...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s4</td>\n",
       "      <td>Movie</td>\n",
       "      <td>9</td>\n",
       "      <td>Shane Acker</td>\n",
       "      <td>Elijah Wood, John C. Reilly, Jennifer Connelly...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 16, 2017</td>\n",
       "      <td>2009</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>80 min</td>\n",
       "      <td>Action &amp; Adventure, Independent Movies, Sci-Fi...</td>\n",
       "      <td>In a postapocalyptic world, rag-doll robots hi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
       "      <td>Movie</td>\n",
       "      <td>21</td>\n",
       "      <td>Robert Luketic</td>\n",
       "      <td>Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2020</td>\n",
       "      <td>2008</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>123 min</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>A brilliant group of students become card-coun...</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>7782</th>\n",
       "      <td>s7783</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zozo</td>\n",
       "      <td>Josef Fares</td>\n",
       "      <td>Imad Creidi, Antoinette Turk, Elias Gergi, Car...</td>\n",
       "      <td>Sweden, Czech Republic, United Kingdom, Denmar...</td>\n",
       "      <td>October 19, 2020</td>\n",
       "      <td>2005</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>99 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>When Lebanon's Civil War deprives Zozo of his ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7783</th>\n",
       "      <td>s7784</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",
       "    <tr>\n",
       "      <th>7784</th>\n",
       "      <td>s7785</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zulu Man in Japan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nasty C</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 25, 2020</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>44 min</td>\n",
       "      <td>Documentaries, International Movies, Music &amp; M...</td>\n",
       "      <td>In this documentary, South African rapper Nast...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7785</th>\n",
       "      <td>s7786</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Zumbo's Just Desserts</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adriano Zumbo, Rachel Khoo</td>\n",
       "      <td>Australia</td>\n",
       "      <td>October 31, 2020</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>International TV Shows, Reality TV</td>\n",
       "      <td>Dessert wizard Adriano Zumbo looks for the nex...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7786</th>\n",
       "      <td>s7787</td>\n",
       "      <td>Movie</td>\n",
       "      <td>ZZ TOP: THAT LITTLE OL' BAND FROM TEXAS</td>\n",
       "      <td>Sam Dunn</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom, Canada, United States</td>\n",
       "      <td>March 1, 2020</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Documentaries, Music &amp; Musicals</td>\n",
       "      <td>This documentary delves into the mystique behi...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7787 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     show_id     type                                    title  \\\n",
       "0         s1  TV Show                                       3%   \n",
       "1         s2    Movie                                     7:19   \n",
       "2         s3    Movie                                    23:59   \n",
       "3         s4    Movie                                        9   \n",
       "4         s5    Movie                                       21   \n",
       "...      ...      ...                                      ...   \n",
       "7782   s7783    Movie                                     Zozo   \n",
       "7783   s7784    Movie                                   Zubaan   \n",
       "7784   s7785    Movie                        Zulu Man in Japan   \n",
       "7785   s7786  TV Show                    Zumbo's Just Desserts   \n",
       "7786   s7787    Movie  ZZ TOP: THAT LITTLE OL' BAND FROM TEXAS   \n",
       "\n",
       "               director                                               cast  \\\n",
       "0                   NaN  João Miguel, Bianca Comparato, Michel Gomes, R...   \n",
       "1     Jorge Michel Grau  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...   \n",
       "2          Gilbert Chan  Tedd Chan, Stella Chung, Henley Hii, Lawrence ...   \n",
       "3           Shane Acker  Elijah Wood, John C. Reilly, Jennifer Connelly...   \n",
       "4        Robert Luketic  Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...   \n",
       "...                 ...                                                ...   \n",
       "7782        Josef Fares  Imad Creidi, Antoinette Turk, Elias Gergi, Car...   \n",
       "7783        Mozez Singh  Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...   \n",
       "7784                NaN                                            Nasty C   \n",
       "7785                NaN                         Adriano Zumbo, Rachel Khoo   \n",
       "7786           Sam Dunn                                                NaN   \n",
       "\n",
       "                                                country          date_added  \\\n",
       "0                                                Brazil     August 14, 2020   \n",
       "1                                                Mexico   December 23, 2016   \n",
       "2                                             Singapore   December 20, 2018   \n",
       "3                                         United States   November 16, 2017   \n",
       "4                                         United States     January 1, 2020   \n",
       "...                                                 ...                 ...   \n",
       "7782  Sweden, Czech Republic, United Kingdom, Denmar...    October 19, 2020   \n",
       "7783                                              India       March 2, 2019   \n",
       "7784                                      United States  September 25, 2020   \n",
       "7785                                          Australia    October 31, 2020   \n",
       "7786              United Kingdom, Canada, United States       March 1, 2020   \n",
       "\n",
       "      release_year rating   duration  \\\n",
       "0             2020  TV-MA  4 Seasons   \n",
       "1             2016  TV-MA     93 min   \n",
       "2             2011      R     78 min   \n",
       "3             2009  PG-13     80 min   \n",
       "4             2008  PG-13    123 min   \n",
       "...            ...    ...        ...   \n",
       "7782          2005  TV-MA     99 min   \n",
       "7783          2015  TV-14    111 min   \n",
       "7784          2019  TV-MA     44 min   \n",
       "7785          2019  TV-PG   1 Season   \n",
       "7786          2019  TV-MA     90 min   \n",
       "\n",
       "                                              listed_in  \\\n",
       "0     International TV Shows, TV Dramas, TV Sci-Fi &...   \n",
       "1                          Dramas, International Movies   \n",
       "2                   Horror Movies, International Movies   \n",
       "3     Action & Adventure, Independent Movies, Sci-Fi...   \n",
       "4                                                Dramas   \n",
       "...                                                 ...   \n",
       "7782                       Dramas, International Movies   \n",
       "7783     Dramas, International Movies, Music & Musicals   \n",
       "7784  Documentaries, International Movies, Music & M...   \n",
       "7785                 International TV Shows, Reality TV   \n",
       "7786                    Documentaries, Music & Musicals   \n",
       "\n",
       "                                            description  \n",
       "0     In a future where the elite inhabit an island ...  \n",
       "1     After a devastating earthquake hits Mexico Cit...  \n",
       "2     When an army recruit is found dead, his fellow...  \n",
       "3     In a postapocalyptic world, rag-doll robots hi...  \n",
       "4     A brilliant group of students become card-coun...  \n",
       "...                                                 ...  \n",
       "7782  When Lebanon's Civil War deprives Zozo of his ...  \n",
       "7783  A scrappy but poor boy worms his way into a ty...  \n",
       "7784  In this documentary, South African rapper Nast...  \n",
       "7785  Dessert wizard Adriano Zumbo looks for the nex...  \n",
       "7786  This documentary delves into the mystique behi...  \n",
       "\n",
       "[7787 rows x 12 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "netflix_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b2decd80",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7787 entries, 0 to 7786\n",
      "Data columns (total 12 columns):\n",
      " #   Column        Non-Null Count  Dtype \n",
      "---  ------        --------------  ----- \n",
      " 0   show_id       7787 non-null   object\n",
      " 1   type          7787 non-null   object\n",
      " 2   title         7787 non-null   object\n",
      " 3   director      5398 non-null   object\n",
      " 4   cast          7069 non-null   object\n",
      " 5   country       7787 non-null   object\n",
      " 6   date_added    7777 non-null   object\n",
      " 7   release_year  7787 non-null   int64 \n",
      " 8   rating        7787 non-null   object\n",
      " 9   duration      7787 non-null   object\n",
      " 10  listed_in     7787 non-null   object\n",
      " 11  description   7787 non-null   object\n",
      "dtypes: int64(1), object(11)\n",
      "memory usage: 730.2+ KB\n"
     ]
    }
   ],
   "source": [
    "netflix_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a17fcf7f",
   "metadata": {},
   "outputs": [
    {
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       "       release_year\n",
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     "execution_count": 8,
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  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "de773018",
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>7782</th>\n",
       "      <td>s7783</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zozo</td>\n",
       "      <td>Josef Fares</td>\n",
       "      <td>Imad Creidi, Antoinette Turk, Elias Gergi, Car...</td>\n",
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       "      <th>7783</th>\n",
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       "      <td>A scrappy but poor boy worms his way into a ty...</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>Nasty C</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 25, 2020</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>44 min</td>\n",
       "      <td>Documentaries, International Movies, Music &amp; M...</td>\n",
       "      <td>In this documentary, South African rapper Nast...</td>\n",
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       "    <tr>\n",
       "      <th>7785</th>\n",
       "      <td>s7786</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Zumbo's Just Desserts</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adriano Zumbo, Rachel Khoo</td>\n",
       "      <td>Australia</td>\n",
       "      <td>October 31, 2020</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>International TV Shows, Reality TV</td>\n",
       "      <td>Dessert wizard Adriano Zumbo looks for the nex...</td>\n",
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       "      <th>7786</th>\n",
       "      <td>s7787</td>\n",
       "      <td>Movie</td>\n",
       "      <td>ZZ TOP: THAT LITTLE OL' BAND FROM TEXAS</td>\n",
       "      <td>Sam Dunn</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom, Canada, United States</td>\n",
       "      <td>March 1, 2020</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Documentaries, Music &amp; Musicals</td>\n",
       "      <td>This documentary delves into the mystique behi...</td>\n",
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      ],
      "text/plain": [
       "     show_id     type                                    title     director  \\\n",
       "7782   s7783    Movie                                     Zozo  Josef Fares   \n",
       "7783   s7784    Movie                                   Zubaan  Mozez Singh   \n",
       "7784   s7785    Movie                        Zulu Man in Japan          NaN   \n",
       "7785   s7786  TV Show                    Zumbo's Just Desserts          NaN   \n",
       "7786   s7787    Movie  ZZ TOP: THAT LITTLE OL' BAND FROM TEXAS     Sam Dunn   \n",
       "\n",
       "                                                   cast  \\\n",
       "7782  Imad Creidi, Antoinette Turk, Elias Gergi, Car...   \n",
       "7783  Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...   \n",
       "7784                                            Nasty C   \n",
       "7785                         Adriano Zumbo, Rachel Khoo   \n",
       "7786                                                NaN   \n",
       "\n",
       "                                                country          date_added  \\\n",
       "7782  Sweden, Czech Republic, United Kingdom, Denmar...    October 19, 2020   \n",
       "7783                                              India       March 2, 2019   \n",
       "7784                                      United States  September 25, 2020   \n",
       "7785                                          Australia    October 31, 2020   \n",
       "7786              United Kingdom, Canada, United States       March 1, 2020   \n",
       "\n",
       "      release_year rating  duration  \\\n",
       "7782          2005  TV-MA    99 min   \n",
       "7783          2015  TV-14   111 min   \n",
       "7784          2019  TV-MA    44 min   \n",
       "7785          2019  TV-PG  1 Season   \n",
       "7786          2019  TV-MA    90 min   \n",
       "\n",
       "                                              listed_in  \\\n",
       "7782                       Dramas, International Movies   \n",
       "7783     Dramas, International Movies, Music & Musicals   \n",
       "7784  Documentaries, International Movies, Music & M...   \n",
       "7785                 International TV Shows, Reality TV   \n",
       "7786                    Documentaries, Music & Musicals   \n",
       "\n",
       "                                            description  \n",
       "7782  When Lebanon's Civil War deprives Zozo of his ...  \n",
       "7783  A scrappy but poor boy worms his way into a ty...  \n",
       "7784  In this documentary, South African rapper Nast...  \n",
       "7785  Dessert wizard Adriano Zumbo looks for the nex...  \n",
       "7786  This documentary delves into the mystique behi...  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "netflix_df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d1ce4c66",
   "metadata": {},
   "outputs": [],
   "source": [
    "netflix_shows=netflix_df[netflix_df['type']=='TV Show']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "aeaa70e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>Crime TV Shows, International TV Shows, TV Dramas</td>\n",
       "      <td>In this dark alt-history thriller, a naïve law...</td>\n",
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       "      <td>Mexico</td>\n",
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       "      <td>2019</td>\n",
       "      <td>TV-MA</td>\n",
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       "      <td>Crime TV Shows, Docuseries, International TV S...</td>\n",
       "      <td>Archival video and new interviews examine Mexi...</td>\n",
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       "      <th>16</th>\n",
       "      <td>s17</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Feb-09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Shahd El Yaseen, Shaila Sabt, Hala, Hanadi Al-...</td>\n",
       "      <td>United States</td>\n",
       "      <td>March 20, 2019</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>International TV Shows, TV Dramas</td>\n",
       "      <td>As a psychology professor faces Alzheimer's, h...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>7767</th>\n",
       "      <td>s7768</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Zindagi Gulzar Hai</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sanam Saeed, Fawad Khan, Ayesha Omer, Mehreen ...</td>\n",
       "      <td>Pakistan</td>\n",
       "      <td>December 15, 2016</td>\n",
       "      <td>2012</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>International TV Shows, Romantic TV Shows, TV ...</td>\n",
       "      <td>Strong-willed, middle-class Kashaf and carefre...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7775</th>\n",
       "      <td>s7776</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Zoids Wild</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kensho Ono, Takahiro Sakurai, Mikako Komatsu, ...</td>\n",
       "      <td>Japan</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>2018</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Anime Series, Kids' TV</td>\n",
       "      <td>A quest for freedom and legendary treasure beg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7777</th>\n",
       "      <td>s7778</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Zombie Dumb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</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>7779</th>\n",
       "      <td>s7780</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Zona Rosa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Manu NNa, Ana Julia Yeyé, Ray Contreras, Pablo...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>November 26, 2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>International TV Shows, Spanish-Language TV Sh...</td>\n",
       "      <td>An assortment of talent takes the stage for a ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7785</th>\n",
       "      <td>s7786</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Zumbo's Just Desserts</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adriano Zumbo, Rachel Khoo</td>\n",
       "      <td>Australia</td>\n",
       "      <td>October 31, 2020</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>International TV Shows, Reality TV</td>\n",
       "      <td>Dessert wizard Adriano Zumbo looks for the nex...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2410 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     show_id     type                  title              director  \\\n",
       "0         s1  TV Show                     3%                   NaN   \n",
       "5         s6  TV Show                     46           Serdar Akar   \n",
       "11       s12  TV Show                   1983                   NaN   \n",
       "12       s13  TV Show                   1994  Diego Enrique Osorno   \n",
       "16       s17  TV Show                 Feb-09                   NaN   \n",
       "...      ...      ...                    ...                   ...   \n",
       "7767   s7768  TV Show     Zindagi Gulzar Hai                   NaN   \n",
       "7775   s7776  TV Show             Zoids Wild                   NaN   \n",
       "7777   s7778  TV Show            Zombie Dumb                   NaN   \n",
       "7779   s7780  TV Show              Zona Rosa                   NaN   \n",
       "7785   s7786  TV Show  Zumbo's Just Desserts                   NaN   \n",
       "\n",
       "                                                   cast  \\\n",
       "0     João Miguel, Bianca Comparato, Michel Gomes, R...   \n",
       "5     Erdal Beşikçioğlu, Yasemin Allen, Melis Birkan...   \n",
       "11    Robert Więckiewicz, Maciej Musiał, Michalina O...   \n",
       "12                                                  NaN   \n",
       "16    Shahd El Yaseen, Shaila Sabt, Hala, Hanadi Al-...   \n",
       "...                                                 ...   \n",
       "7767  Sanam Saeed, Fawad Khan, Ayesha Omer, Mehreen ...   \n",
       "7775  Kensho Ono, Takahiro Sakurai, Mikako Komatsu, ...   \n",
       "7777                                                NaN   \n",
       "7779  Manu NNa, Ana Julia Yeyé, Ray Contreras, Pablo...   \n",
       "7785                         Adriano Zumbo, Rachel Khoo   \n",
       "\n",
       "                    country         date_added  release_year rating  \\\n",
       "0                    Brazil    August 14, 2020          2020  TV-MA   \n",
       "5                    Turkey       July 1, 2017          2016  TV-MA   \n",
       "11    Poland, United States  November 30, 2018          2018  TV-MA   \n",
       "12                   Mexico       May 17, 2019          2019  TV-MA   \n",
       "16            United States     March 20, 2019          2018  TV-14   \n",
       "...                     ...                ...           ...    ...   \n",
       "7767               Pakistan  December 15, 2016          2012  TV-PG   \n",
       "7775                  Japan    August 14, 2020          2018  TV-Y7   \n",
       "7777          United States       July 1, 2019          2018  TV-Y7   \n",
       "7779                 Mexico  November 26, 2019          2019  TV-MA   \n",
       "7785              Australia   October 31, 2020          2019  TV-PG   \n",
       "\n",
       "       duration                                          listed_in  \\\n",
       "0     4 Seasons  International TV Shows, TV Dramas, TV Sci-Fi &...   \n",
       "5      1 Season    International TV Shows, TV Dramas, TV Mysteries   \n",
       "11     1 Season  Crime TV Shows, International TV Shows, TV Dramas   \n",
       "12     1 Season  Crime TV Shows, Docuseries, International TV S...   \n",
       "16     1 Season                  International TV Shows, TV Dramas   \n",
       "...         ...                                                ...   \n",
       "7767   1 Season  International TV Shows, Romantic TV Shows, TV ...   \n",
       "7775   1 Season                             Anime Series, Kids' TV   \n",
       "7777  2 Seasons             Kids' TV, Korean TV Shows, TV Comedies   \n",
       "7779   1 Season  International TV Shows, Spanish-Language TV Sh...   \n",
       "7785   1 Season                 International TV Shows, Reality TV   \n",
       "\n",
       "                                            description  \n",
       "0     In a future where the elite inhabit an island ...  \n",
       "5     A genetics professor experiments with a treatm...  \n",
       "11    In this dark alt-history thriller, a naïve law...  \n",
       "12    Archival video and new interviews examine Mexi...  \n",
       "16    As a psychology professor faces Alzheimer's, h...  \n",
       "...                                                 ...  \n",
       "7767  Strong-willed, middle-class Kashaf and carefre...  \n",
       "7775  A quest for freedom and legendary treasure beg...  \n",
       "7777  While living alone in a spooky town, a young g...  \n",
       "7779  An assortment of talent takes the stage for a ...  \n",
       "7785  Dessert wizard Adriano Zumbo looks for the nex...  \n",
       "\n",
       "[2410 rows x 12 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "netflix_shows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c222d6cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "netflix_movies=netflix_df[netflix_df['type']=='Movie']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "80119ed8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "show_id         7787\n",
       "type               2\n",
       "title           7787\n",
       "director        4049\n",
       "cast            6831\n",
       "country          681\n",
       "date_added      1565\n",
       "release_year      73\n",
       "rating            14\n",
       "duration         216\n",
       "listed_in        492\n",
       "description     7769\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "netflix_df.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "82f21abd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(netflix_df.isnull(),cmap = 'Reds')\n",
    "plt.title('Null Values Heatmap')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "841f6509",
   "metadata": {},
   "outputs": [],
   "source": [
    "netflix_df.drop('show_id',axis=1, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "56aa8bb4",
   "metadata": {},
   "outputs": [],
   "source": [
    "netflix_df['date_added']=netflix_df['date_added'].fillna('January 1, {}'.format(str(netflix_df['release_year'].mode()[0])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b6748f3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>type</th>\n",
       "      <th>title</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "      <th>release_month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>August</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Movie</td>\n",
       "      <td>7:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>December</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Movie</td>\n",
       "      <td>23:59</td>\n",
       "      <td>Gilbert Chan</td>\n",
       "      <td>Tedd Chan, Stella Chung, Henley Hii, Lawrence ...</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>December 20, 2018</td>\n",
       "      <td>2011</td>\n",
       "      <td>R</td>\n",
       "      <td>78 min</td>\n",
       "      <td>Horror Movies, International Movies</td>\n",
       "      <td>When an army recruit is found dead, his fellow...</td>\n",
       "      <td>December</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Movie</td>\n",
       "      <td>9</td>\n",
       "      <td>Shane Acker</td>\n",
       "      <td>Elijah Wood, John C. Reilly, Jennifer Connelly...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 16, 2017</td>\n",
       "      <td>2009</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>80 min</td>\n",
       "      <td>Action &amp; Adventure, Independent Movies, Sci-Fi...</td>\n",
       "      <td>In a postapocalyptic world, rag-doll robots hi...</td>\n",
       "      <td>November</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Movie</td>\n",
       "      <td>21</td>\n",
       "      <td>Robert Luketic</td>\n",
       "      <td>Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2020</td>\n",
       "      <td>2008</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>123 min</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>A brilliant group of students become card-coun...</td>\n",
       "      <td>January</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      type  title           director  \\\n",
       "0  TV Show     3%                NaN   \n",
       "1    Movie   7:19  Jorge Michel Grau   \n",
       "2    Movie  23:59       Gilbert Chan   \n",
       "3    Movie      9        Shane Acker   \n",
       "4    Movie     21     Robert Luketic   \n",
       "\n",
       "                                                cast        country  \\\n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...         Brazil   \n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...         Mexico   \n",
       "2  Tedd Chan, Stella Chung, Henley Hii, Lawrence ...      Singapore   \n",
       "3  Elijah Wood, John C. Reilly, Jennifer Connelly...  United States   \n",
       "4  Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...  United States   \n",
       "\n",
       "          date_added  release_year rating   duration  \\\n",
       "0    August 14, 2020          2020  TV-MA  4 Seasons   \n",
       "1  December 23, 2016          2016  TV-MA     93 min   \n",
       "2  December 20, 2018          2011      R     78 min   \n",
       "3  November 16, 2017          2009  PG-13     80 min   \n",
       "4    January 1, 2020          2008  PG-13    123 min   \n",
       "\n",
       "                                           listed_in  \\\n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...   \n",
       "1                       Dramas, International Movies   \n",
       "2                Horror Movies, International Movies   \n",
       "3  Action & Adventure, Independent Movies, Sci-Fi...   \n",
       "4                                             Dramas   \n",
       "\n",
       "                                         description release_month  \n",
       "0  In a future where the elite inhabit an island ...        August  \n",
       "1  After a devastating earthquake hits Mexico Cit...      December  \n",
       "2  When an army recruit is found dead, his fellow...      December  \n",
       "3  In a postapocalyptic world, rag-doll robots hi...      November  \n",
       "4  A brilliant group of students become card-coun...       January  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "netflix_df[\"release_month\"] = netflix_df['date_added'].apply(lambda x: x.lstrip().split(\" \")[0])\n",
    "netflix_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ece81c7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "rating\n",
       "TV-MA       2870\n",
       "TV-14       1931\n",
       "TV-PG        806\n",
       "R            665\n",
       "PG-13        386\n",
       "TV-Y         280\n",
       "TV-Y7        271\n",
       "PG           247\n",
       "TV-G         194\n",
       "NR            84\n",
       "G             39\n",
       "TV-Y7-FV       6\n",
       "UR             5\n",
       "NC-17          3\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "netflix_df['rating'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "56c61074",
   "metadata": {},
   "outputs": [],
   "source": [
    "netflix_df['rating'].replace(np.nan, 'TV-MA',inplace  = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5cc37a44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "country\n",
       "United States                                                   3062\n",
       "India                                                            923\n",
       "United Kingdom                                                   397\n",
       "Japan                                                            226\n",
       "South Korea                                                      183\n",
       "                                                                ... \n",
       "Russia, United States, China                                       1\n",
       "Italy, Switzerland, France, Germany                                1\n",
       "United States, United Kingdom, Canada                              1\n",
       "United States, United Kingdom, Japan                               1\n",
       "Sweden, Czech Republic, United Kingdom, Denmark, Netherlands       1\n",
       "Name: count, Length: 681, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "netflix_df['country'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "29cb08b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "listed_in\n",
      "Documentaries                                       334\n",
      "Stand-Up Comedy                                     321\n",
      "Dramas, International Movies                        320\n",
      "Comedies, Dramas, International Movies              243\n",
      "Dramas, Independent Movies, International Movies    215\n",
      "Children & Family Movies                            177\n",
      "Documentaries, International Movies                 172\n",
      "Children & Family Movies, Comedies                  169\n",
      "Comedies, International Movies                      161\n",
      "Dramas, International Movies, Romantic Movies       153\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(netflix_movies[\"listed_in\"].value_counts()[:10])\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.countplot(y='listed_in',data = netflix_movies,order =netflix_movies[\"listed_in\"].value_counts().index[0:10],palette=\"pastel\")\n",
    "plt.title(\"Top 10 Genres of Movies\",size=18)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8bd039e1",
   "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}