NetFilx Data Visualization.ipynb

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  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd \n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.graph_objects as graphObjects\n",
    "from plotly.offline import init_notebook_mode, iplot\n",
    "from sklearn.metrics.pairwise import cosine_similarity\n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "from rake_nltk import Rake"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
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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",
       "      <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>81145628</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Norm of the North: King Sized Adventure</td>\n",
       "      <td>Richard Finn, Tim Maltby</td>\n",
       "      <td>Alan Marriott, Andrew Toth, Brian Dobson, Cole...</td>\n",
       "      <td>United States, India, South Korea, China</td>\n",
       "      <td>September 9, 2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Children &amp; Family Movies, Comedies</td>\n",
       "      <td>Before planning an awesome wedding for his gra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>80117401</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Jandino: Whatever it Takes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jandino Asporaat</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>September 9, 2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>94 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Jandino Asporaat riffs on the challenges of ra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>70234439</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Transformers Prime</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Peter Cullen, Sumalee Montano, Frank Welker, J...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2018</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-Y7-FV</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>With the help of three human allies, the Autob...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>80058654</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Transformers: Robots in Disguise</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Will Friedle, Darren Criss, Constance Zimmer, ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2018</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>When a prison ship crash unleashes hundreds of...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>80125979</td>\n",
       "      <td>Movie</td>\n",
       "      <td>#realityhigh</td>\n",
       "      <td>Fernando Lebrija</td>\n",
       "      <td>Nesta Cooper, Kate Walsh, John Michael Higgins...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>99 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>When nerdy high schooler Dani finally attracts...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "    show_id     type                                    title  \\\n",
       "0  81145628    Movie  Norm of the North: King Sized Adventure   \n",
       "1  80117401    Movie               Jandino: Whatever it Takes   \n",
       "2  70234439  TV Show                       Transformers Prime   \n",
       "3  80058654  TV Show         Transformers: Robots in Disguise   \n",
       "4  80125979    Movie                             #realityhigh   \n",
       "\n",
       "                   director  \\\n",
       "0  Richard Finn, Tim Maltby   \n",
       "1                       NaN   \n",
       "2                       NaN   \n",
       "3                       NaN   \n",
       "4          Fernando Lebrija   \n",
       "\n",
       "                                                cast  \\\n",
       "0  Alan Marriott, Andrew Toth, Brian Dobson, Cole...   \n",
       "1                                   Jandino Asporaat   \n",
       "2  Peter Cullen, Sumalee Montano, Frank Welker, J...   \n",
       "3  Will Friedle, Darren Criss, Constance Zimmer, ...   \n",
       "4  Nesta Cooper, Kate Walsh, John Michael Higgins...   \n",
       "\n",
       "                                    country         date_added  release_year  \\\n",
       "0  United States, India, South Korea, China  September 9, 2019          2019   \n",
       "1                            United Kingdom  September 9, 2016          2016   \n",
       "2                             United States  September 8, 2018          2013   \n",
       "3                             United States  September 8, 2018          2016   \n",
       "4                             United States  September 8, 2017          2017   \n",
       "\n",
       "     rating  duration                           listed_in  \\\n",
       "0     TV-PG    90 min  Children & Family Movies, Comedies   \n",
       "1     TV-MA    94 min                     Stand-Up Comedy   \n",
       "2  TV-Y7-FV  1 Season                            Kids' TV   \n",
       "3     TV-Y7  1 Season                            Kids' TV   \n",
       "4     TV-14    99 min                            Comedies   \n",
       "\n",
       "                                         description  \n",
       "0  Before planning an awesome wedding for his gra...  \n",
       "1  Jandino Asporaat riffs on the challenges of ra...  \n",
       "2  With the help of three human allies, the Autob...  \n",
       "3  When a prison ship crash unleashes hundreds of...  \n",
       "4  When nerdy high schooler Dani finally attracts...  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=pd.read_csv(\"D:/Projects/Netflix Recommendation/inputs/netflix_titles.csv\")  #Get data from the Data set\n",
    "data.head() #Display Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(6234, 12)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape  #Get Number of rows and the number of columns in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['show_id', 'type', 'title', 'director', 'cast', 'country', 'date_added',\n",
       "       'release_year', 'rating', 'duration', 'listed_in', 'description'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns  #Get Columns in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
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    "# Get count of the Movies and the Tv Shows\n",
    "column = \"type\"\n",
    "grouped = data[column].value_counts().reset_index()\n",
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\"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Content Released over the years\"}},\n",
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       "            observer.disconnect();\n",
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       "var notebookContainer = gd.closest('#notebook-container');\n",
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tv_data = data[data[\"type\"] == \"TV Show\"]        #Extract tv data from the dataset\n",
    "movie_data = data[data[\"type\"] == \"Movie\"]       #Extract movie data from the dataset\n",
    "\n",
    "column = \"release_year\"                          #Get Release Years\n",
    "\n",
    "view_tv_data = tv_data[column].value_counts()    #Count number of movies in each year\n",
    "view_tv_data=view_tv_data.reset_index()          #Set index \n",
    "view_tv_data = view_tv_data.rename(columns = {column : \"count\", \"index\" : column})  #Rename column names of the tv data set(index=Release Year,)\n",
    "\n",
    "\n",
    "view_tv_data['percent'] = view_tv_data['count'].apply(lambda x : 100*x/sum(view_tv_data['count']))  #Get precentage count of the tv series in each year\n",
    "view_tv_data = view_tv_data.sort_values(column)    #Sort tv data values according to the release date\n",
    "\n",
    "view_movie_data = movie_data[column].value_counts().reset_index()   #Reset movie data for view\n",
    "view_movie_data = view_movie_data.rename(columns = {column : \"count\", \"index\" : column})  #Rename column names of the movie data set\n",
    "view_movie_data['percent'] = view_movie_data['count'].apply(lambda x : 100*x/sum(view_movie_data['count']))  #Get precentage count of the movies in each year\n",
    "view_movie_data = view_movie_data.sort_values(column)  \n",
    "\n",
    "tvShows = graphObjects.Bar(x=view_tv_data[column], y=view_tv_data[\"count\"], name=\"TV Shows\", marker=dict(color=\"red\"))  #Add tv shows Data to tv Bar\n",
    "movies = graphObjects.Bar(x=view_movie_data[column], y=view_movie_data[\"count\"], name=\"Movies\", marker=dict(color=\"blue\"))  #Add movies data to movie bar\n",
    "figure_data = [tvShows , movies]  #set to Bats to chart\n",
    "layout = graphObjects.Layout(title=\"Content Released over the years\", legend=dict(x=0.1, y=1.1, orientation=\"h\"))\n",
    "figure = graphObjects.Figure(figure_data, layout=layout)\n",
    "figure.show()  #Display Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\User\\Anaconda3\\envs\\yasas_env\\lib\\site-packages\\ipykernel_launcher.py:2: SettingWithCopyWarning:\n",
      "\n",
      "\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",
      "\n",
      "C:\\Users\\User\\Anaconda3\\envs\\yasas_env\\lib\\site-packages\\ipykernel_launcher.py:3: SettingWithCopyWarning:\n",
      "\n",
      "\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",
      "\n",
      "C:\\Users\\User\\Anaconda3\\envs\\yasas_env\\lib\\site-packages\\ipykernel_launcher.py:4: SettingWithCopyWarning:\n",
      "\n",
      "\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",
      "\n"
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    },
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       "      <th>hours</th>\n",
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       "      <td>80117401</td>\n",
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       "      <td>Automata</td>\n",
       "      <td>Gabe Ibáñez</td>\n",
       "      <td>Antonio Banderas, Dylan McDermott, Melanie Gri...</td>\n",
       "      <td>Bulgaria, United States, Spain, Canada</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2014</td>\n",
       "      <td>R</td>\n",
       "      <td>110 min</td>\n",
       "      <td>International Movies, Sci-Fi &amp; Fantasy, Thrillers</td>\n",
       "      <td>In a dystopian future, an insurance adjuster f...</td>\n",
       "      <td>110</td>\n",
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       "      <th>7</th>\n",
       "      <td>80164077</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Fabrizio Copano: Solo pienso en mi</td>\n",
       "      <td>Rodrigo Toro, Francisco Schultz</td>\n",
       "      <td>Fabrizio Copano</td>\n",
       "      <td>Chile</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>60 min</td>\n",
       "      <td>Stand-Up Comedy</td>\n",
       "      <td>Fabrizio Copano takes audience participation t...</td>\n",
       "      <td>60</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
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       "      <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",
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       "      <th>5577</th>\n",
       "      <td>80085438</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Frank and Cindy</td>\n",
       "      <td>G.J. Echternkamp</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>TV-MA</td>\n",
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       "      <td>70</td>\n",
       "      <td>1.166667</td>\n",
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       "      <th>5578</th>\n",
       "      <td>80085439</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Frank and Cindy</td>\n",
       "      <td>G.J. Echternkamp</td>\n",
       "      <td>Rene Russo, Oliver Platt, Johnny Simmons, Jane...</td>\n",
       "      <td>United States</td>\n",
       "      <td>April 1, 2016</td>\n",
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       "      <td>A student filmmaker vengefully turns his camer...</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60 min</td>\n",
       "      <td>Movies</td>\n",
       "      <td>Nursery rhymes and original music for children...</td>\n",
       "      <td>60</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4265 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       show_id   type                                    title  \\\n",
       "0     81145628  Movie  Norm of the North: King Sized Adventure   \n",
       "1     80117401  Movie               Jandino: Whatever it Takes   \n",
       "4     80125979  Movie                             #realityhigh   \n",
       "6     70304989  Movie                                 Automata   \n",
       "7     80164077  Movie       Fabrizio Copano: Solo pienso en mi   \n",
       "...        ...    ...                                      ...   \n",
       "5577  80085438  Movie                          Frank and Cindy   \n",
       "5578  80085439  Movie                          Frank and Cindy   \n",
       "5579  80011846  Movie                                  Iverson   \n",
       "5580  80064521  Movie      Jeremy Scott: The People's Designer   \n",
       "6231  80116008  Movie   Little Baby Bum: Nursery Rhyme Friends   \n",
       "\n",
       "                             director  \\\n",
       "0            Richard Finn, Tim Maltby   \n",
       "1                                 NaN   \n",
       "4                    Fernando Lebrija   \n",
       "6                         Gabe Ibáñez   \n",
       "7     Rodrigo Toro, Francisco Schultz   \n",
       "...                               ...   \n",
       "5577                 G.J. Echternkamp   \n",
       "5578                 G.J. Echternkamp   \n",
       "5579                   Zatella Beatty   \n",
       "5580                       Vlad Yudin   \n",
       "6231                              NaN   \n",
       "\n",
       "                                                   cast  \\\n",
       "0     Alan Marriott, Andrew Toth, Brian Dobson, Cole...   \n",
       "1                                      Jandino Asporaat   \n",
       "4     Nesta Cooper, Kate Walsh, John Michael Higgins...   \n",
       "6     Antonio Banderas, Dylan McDermott, Melanie Gri...   \n",
       "7                                       Fabrizio Copano   \n",
       "...                                                 ...   \n",
       "5577                                                NaN   \n",
       "5578  Rene Russo, Oliver Platt, Johnny Simmons, Jane...   \n",
       "5579                                      Allen Iverson   \n",
       "5580                                       Jeremy Scott   \n",
       "6231                                                NaN   \n",
       "\n",
       "                                       country         date_added  \\\n",
       "0     United States, India, South Korea, China  September 9, 2019   \n",
       "1                               United Kingdom  September 9, 2016   \n",
       "4                                United States  September 8, 2017   \n",
       "6       Bulgaria, United States, Spain, Canada  September 8, 2017   \n",
       "7                                        Chile  September 8, 2017   \n",
       "...                                        ...                ...   \n",
       "5577                             United States      April 1, 2016   \n",
       "5578                             United States      April 1, 2016   \n",
       "5579                             United States      April 1, 2016   \n",
       "5580                             United States      April 1, 2016   \n",
       "6231                                       NaN                NaN   \n",
       "\n",
       "      release_year rating duration  \\\n",
       "0             2019  TV-PG   90 min   \n",
       "1             2016  TV-MA   94 min   \n",
       "4             2017  TV-14   99 min   \n",
       "6             2014      R  110 min   \n",
       "7             2017  TV-MA   60 min   \n",
       "...            ...    ...      ...   \n",
       "5577          2007  TV-MA   70 min   \n",
       "5578          2015      R  102 min   \n",
       "5579          2014     NR   88 min   \n",
       "5580          2015  PG-13  109 min   \n",
       "6231          2016    NaN   60 min   \n",
       "\n",
       "                                              listed_in  \\\n",
       "0                    Children & Family Movies, Comedies   \n",
       "1                                       Stand-Up Comedy   \n",
       "4                                              Comedies   \n",
       "6     International Movies, Sci-Fi & Fantasy, Thrillers   \n",
       "7                                       Stand-Up Comedy   \n",
       "...                                                 ...   \n",
       "5577                                      Documentaries   \n",
       "5578               Comedies, Dramas, Independent Movies   \n",
       "5579                       Documentaries, Sports Movies   \n",
       "5580                                      Documentaries   \n",
       "6231                                             Movies   \n",
       "\n",
       "                                            description  min     hours  \n",
       "0     Before planning an awesome wedding for his gra...   90  1.500000  \n",
       "1     Jandino Asporaat riffs on the challenges of ra...   94  1.566667  \n",
       "4     When nerdy high schooler Dani finally attracts...   99  1.650000  \n",
       "6     In a dystopian future, an insurance adjuster f...  110  1.833333  \n",
       "7     Fabrizio Copano takes audience participation t...   60  1.000000  \n",
       "...                                                 ...  ...       ...  \n",
       "5577  Frank was a rising pop star when he married Ci...   70  1.166667  \n",
       "5578  A student filmmaker vengefully turns his camer...  102  1.700000  \n",
       "5579  This unfiltered documentary follows the rocky ...   88  1.466667  \n",
       "5580  The journey of fashion designer Jeremy Scott f...  109  1.816667  \n",
       "6231  Nursery rhymes and original music for children...   60  1.000000  \n",
       "\n",
       "[4265 rows x 14 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie=data.query(\"type=='Movie'\")    #extract movie data from the dataset\n",
    "movie['min']=movie['duration'].str.split(' ',expand=True)[0]   #Add min of the movie column\n",
    "movie['min']=movie['min'].astype(int)  #Set type of the miniutes column as Int\n",
    "movie['hours']=movie['min']/60       #Get Number of hours in the movie\n",
    "movie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "topMovies=movie.sort_values(by='hours',ascending=False).head(20)    #Get top long movies\n",
    "plt.figure(figsize=(10,10))\n",
    "sns.barplot(data=topMovies,y='title',x='hours',hue='release_year',dodge=False)  #Set data to the plot (Display Data according to the Released Year)\n",
    "plt.legend(loc='lower right')  #Dilay identifications\n",
    "plt.title('Top Movies') \n",
    "plt.xlabel('Hours')\n",
    "plt.ylabel('Movie')\n",
    "plt.show()   #Display Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\User\\Anaconda3\\envs\\yasas_env\\lib\\site-packages\\ipykernel_launcher.py:3: SettingWithCopyWarning:\n",
      "\n",
      "\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",
      "\n",
      "C:\\Users\\User\\Anaconda3\\envs\\yasas_env\\lib\\site-packages\\ipykernel_launcher.py:4: SettingWithCopyWarning:\n",
      "\n",
      "\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",
      "\n"
     ]
    },
    {
     "data": {
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       "      <td>Transformers: Robots in Disguise</td>\n",
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       "      <td>United States</td>\n",
       "      <td>September 8, 2018</td>\n",
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       "      <td>TV-Y7</td>\n",
       "      <td>1 Season</td>\n",
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       "      <td>When a prison ship crash unleashes hundreds of...</td>\n",
       "      <td>1</td>\n",
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       "      <th>5</th>\n",
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       "      <td>Apaches</td>\n",
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       "      <td>Alberto Ammann, Eloy Azorín, Verónica Echegui,...</td>\n",
       "      <td>Spain</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>September 7, 2018</td>\n",
       "      <td>2015</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>International TV Shows, Romantic TV Shows, TV ...</td>\n",
       "      <td>As four couples with different lifestyles go t...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6228</th>\n",
       "      <td>80159925</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Kikoriki</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Igor Dmitriev</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2010</td>\n",
       "      <td>TV-Y</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>A wacky rabbit and his gang of animal pals hav...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6229</th>\n",
       "      <td>80000063</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Red vs. Blue</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Burnie Burns, Jason Saldaña, Gustavo Sorola, G...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015</td>\n",
       "      <td>NR</td>\n",
       "      <td>13 Seasons</td>\n",
       "      <td>TV Action &amp; Adventure, TV Comedies, TV Sci-Fi ...</td>\n",
       "      <td>This parody of first-person shooter games, mil...</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6230</th>\n",
       "      <td>70286564</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Maron</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Marc Maron, Judd Hirsch, Josh Brener, Nora Zeh...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>TV Comedies</td>\n",
       "      <td>Marc Maron stars as Marc Maron, who interviews...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6232</th>\n",
       "      <td>70281022</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>A Young Doctor's Notebook and Other Stories</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Daniel Radcliffe, Jon Hamm, Adam Godley, Chris...</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>British TV Shows, TV Comedies, TV Dramas</td>\n",
       "      <td>Set during the Russian Revolution, this comic ...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6233</th>\n",
       "      <td>70153404</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Friends</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jennifer Aniston, Courteney Cox, Lisa Kudrow, ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2003</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>10 Seasons</td>\n",
       "      <td>Classic &amp; Cult TV, TV Comedies</td>\n",
       "      <td>This hit sitcom follows the merry misadventure...</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1969 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       show_id     type                                        title director  \\\n",
       "2     70234439  TV Show                           Transformers Prime      NaN   \n",
       "3     80058654  TV Show             Transformers: Robots in Disguise      NaN   \n",
       "5     80163890  TV Show                                      Apaches      NaN   \n",
       "8     80117902  TV Show                                 Fire Chasers      NaN   \n",
       "26    80244601  TV Show                              Castle of Stars      NaN   \n",
       "...        ...      ...                                          ...      ...   \n",
       "6228  80159925  TV Show                                     Kikoriki      NaN   \n",
       "6229  80000063  TV Show                                 Red vs. Blue      NaN   \n",
       "6230  70286564  TV Show                                        Maron      NaN   \n",
       "6232  70281022  TV Show  A Young Doctor's Notebook and Other Stories      NaN   \n",
       "6233  70153404  TV Show                                      Friends      NaN   \n",
       "\n",
       "                                                   cast         country  \\\n",
       "2     Peter Cullen, Sumalee Montano, Frank Welker, J...   United States   \n",
       "3     Will Friedle, Darren Criss, Constance Zimmer, ...   United States   \n",
       "5     Alberto Ammann, Eloy Azorín, Verónica Echegui,...           Spain   \n",
       "8                                                   NaN   United States   \n",
       "26    Chaiyapol Pupart, Jintanutda Lummakanon, Worra...             NaN   \n",
       "...                                                 ...             ...   \n",
       "6228                                      Igor Dmitriev             NaN   \n",
       "6229  Burnie Burns, Jason Saldaña, Gustavo Sorola, G...   United States   \n",
       "6230  Marc Maron, Judd Hirsch, Josh Brener, Nora Zeh...   United States   \n",
       "6232  Daniel Radcliffe, Jon Hamm, Adam Godley, Chris...  United Kingdom   \n",
       "6233  Jennifer Aniston, Courteney Cox, Lisa Kudrow, ...   United States   \n",
       "\n",
       "             date_added  release_year    rating    duration  \\\n",
       "2     September 8, 2018          2013  TV-Y7-FV    1 Season   \n",
       "3     September 8, 2018          2016     TV-Y7    1 Season   \n",
       "5     September 8, 2017          2016     TV-MA    1 Season   \n",
       "8     September 8, 2017          2017     TV-MA    1 Season   \n",
       "26    September 7, 2018          2015     TV-14    1 Season   \n",
       "...                 ...           ...       ...         ...   \n",
       "6228                NaN          2010      TV-Y   2 Seasons   \n",
       "6229                NaN          2015        NR  13 Seasons   \n",
       "6230                NaN          2016     TV-MA   4 Seasons   \n",
       "6232                NaN          2013     TV-MA   2 Seasons   \n",
       "6233                NaN          2003     TV-14  10 Seasons   \n",
       "\n",
       "                                              listed_in  \\\n",
       "2                                              Kids' TV   \n",
       "3                                              Kids' TV   \n",
       "5     Crime TV Shows, International TV Shows, Spanis...   \n",
       "8                       Docuseries, Science & Nature TV   \n",
       "26    International TV Shows, Romantic TV Shows, TV ...   \n",
       "...                                                 ...   \n",
       "6228                                           Kids' TV   \n",
       "6229  TV Action & Adventure, TV Comedies, TV Sci-Fi ...   \n",
       "6230                                        TV Comedies   \n",
       "6232           British TV Shows, TV Comedies, TV Dramas   \n",
       "6233                     Classic & Cult TV, TV Comedies   \n",
       "\n",
       "                                            description  season  \n",
       "2     With the help of three human allies, the Autob...       1  \n",
       "3     When a prison ship crash unleashes hundreds of...       1  \n",
       "5     A young journalist is forced into a life of cr...       1  \n",
       "8     As California's 2016 fire season rages, brave ...       1  \n",
       "26    As four couples with different lifestyles go t...       1  \n",
       "...                                                 ...     ...  \n",
       "6228  A wacky rabbit and his gang of animal pals hav...       2  \n",
       "6229  This parody of first-person shooter games, mil...      13  \n",
       "6230  Marc Maron stars as Marc Maron, who interviews...       4  \n",
       "6232  Set during the Russian Revolution, this comic ...       2  \n",
       "6233  This hit sitcom follows the merry misadventure...      10  \n",
       "\n",
       "[1969 rows x 13 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tvShows=data.query(\"type=='TV Show'\")\n",
    "tvShows\n",
    "tvShows['season']=tvShows['duration'].str.split(' ',expand=True)[0]   #Add new column Season \n",
    "tvShows['season']=tvShows['season'].astype(int) #Change data type to int\n",
    "tvShows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "toptvShows=tvShows.sort_values(by='season',ascending=False).head(20)   #GEt 20 tv searies which have most number of seasons\n",
    "plt.figure(figsize=(10,10))\n",
    "sns.barplot(data=toptvShows,y='title',x='season',hue='release_year',dodge=False)  #Set data to the plot (Display According to the Released Year)\n",
    "plt.legend(loc='lower right')\n",
    "plt.title('Top TV Shows')\n",
    "plt.xlabel('Seasons')\n",
    "plt.ylabel('Movie name')\n",
    "plt.show()  #Display Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ratings=data.groupby('rating')[['show_id']].count().reset_index()\n",
    "plt.figure(figsize=(13,8))\n",
    "plt.pie(ratings['show_id'],autopct='%1.1f%%', startangle=100, pctdistance=1.1,shadow=False)\n",
    "circle = plt.Circle((0,0),0.4,fc='white')\n",
    "figure=plt.gcf()\n",
    "figure.gca().add_artist(circle)\n",
    "plt.axis('equal')\n",
    "plt.legend(data['rating'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}