highest_rating_movie.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import common libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set default plot size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (12.0, 8.0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load title.basics data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/xinhezhang/anaconda2/lib/python2.7/site-packages/IPython/core/interactiveshell.py:2718: DtypeWarning: Columns (5) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tconst</th>\n",
       "      <th>titleType</th>\n",
       "      <th>primaryTitle</th>\n",
       "      <th>originalTitle</th>\n",
       "      <th>isAdult</th>\n",
       "      <th>startYear</th>\n",
       "      <th>endYear</th>\n",
       "      <th>runtimeMinutes</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tt0000001</td>\n",
       "      <td>short</td>\n",
       "      <td>Carmencita</td>\n",
       "      <td>Carmencita</td>\n",
       "      <td>0</td>\n",
       "      <td>1894</td>\n",
       "      <td>\\N</td>\n",
       "      <td>1</td>\n",
       "      <td>Documentary,Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt0000002</td>\n",
       "      <td>short</td>\n",
       "      <td>Le clown et ses chiens</td>\n",
       "      <td>Le clown et ses chiens</td>\n",
       "      <td>0</td>\n",
       "      <td>1892</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5</td>\n",
       "      <td>Animation,Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt0000003</td>\n",
       "      <td>short</td>\n",
       "      <td>Pauvre Pierrot</td>\n",
       "      <td>Pauvre Pierrot</td>\n",
       "      <td>0</td>\n",
       "      <td>1892</td>\n",
       "      <td>\\N</td>\n",
       "      <td>4</td>\n",
       "      <td>Animation,Comedy,Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt0000004</td>\n",
       "      <td>short</td>\n",
       "      <td>Un bon bock</td>\n",
       "      <td>Un bon bock</td>\n",
       "      <td>0</td>\n",
       "      <td>1892</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>Animation,Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt0000005</td>\n",
       "      <td>short</td>\n",
       "      <td>Blacksmith Scene</td>\n",
       "      <td>Blacksmith Scene</td>\n",
       "      <td>0</td>\n",
       "      <td>1893</td>\n",
       "      <td>\\N</td>\n",
       "      <td>1</td>\n",
       "      <td>Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>tt0000006</td>\n",
       "      <td>short</td>\n",
       "      <td>Chinese Opium Den</td>\n",
       "      <td>Chinese Opium Den</td>\n",
       "      <td>0</td>\n",
       "      <td>1894</td>\n",
       "      <td>\\N</td>\n",
       "      <td>1</td>\n",
       "      <td>Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>tt0000007</td>\n",
       "      <td>short</td>\n",
       "      <td>Corbett and Courtney Before the Kinetograph</td>\n",
       "      <td>Corbett and Courtney Before the Kinetograph</td>\n",
       "      <td>0</td>\n",
       "      <td>1894</td>\n",
       "      <td>\\N</td>\n",
       "      <td>1</td>\n",
       "      <td>Short,Sport</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>tt0000008</td>\n",
       "      <td>short</td>\n",
       "      <td>Edison Kinetoscopic Record of a Sneeze</td>\n",
       "      <td>Edison Kinetoscopic Record of a Sneeze</td>\n",
       "      <td>0</td>\n",
       "      <td>1894</td>\n",
       "      <td>\\N</td>\n",
       "      <td>1</td>\n",
       "      <td>Documentary,Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>tt0000009</td>\n",
       "      <td>movie</td>\n",
       "      <td>Miss Jerry</td>\n",
       "      <td>Miss Jerry</td>\n",
       "      <td>0</td>\n",
       "      <td>1894</td>\n",
       "      <td>\\N</td>\n",
       "      <td>45</td>\n",
       "      <td>Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>tt0000010</td>\n",
       "      <td>short</td>\n",
       "      <td>Employees Leaving the Lumière Factory</td>\n",
       "      <td>La sortie de l'usine Lumière à Lyon</td>\n",
       "      <td>0</td>\n",
       "      <td>1895</td>\n",
       "      <td>\\N</td>\n",
       "      <td>1</td>\n",
       "      <td>Documentary,Short</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      tconst titleType                                 primaryTitle  \\\n",
       "0  tt0000001     short                                   Carmencita   \n",
       "1  tt0000002     short                       Le clown et ses chiens   \n",
       "2  tt0000003     short                               Pauvre Pierrot   \n",
       "3  tt0000004     short                                  Un bon bock   \n",
       "4  tt0000005     short                             Blacksmith Scene   \n",
       "5  tt0000006     short                            Chinese Opium Den   \n",
       "6  tt0000007     short  Corbett and Courtney Before the Kinetograph   \n",
       "7  tt0000008     short       Edison Kinetoscopic Record of a Sneeze   \n",
       "8  tt0000009     movie                                   Miss Jerry   \n",
       "9  tt0000010     short        Employees Leaving the Lumière Factory   \n",
       "\n",
       "                                 originalTitle  isAdult startYear endYear  \\\n",
       "0                                   Carmencita        0      1894      \\N   \n",
       "1                       Le clown et ses chiens        0      1892      \\N   \n",
       "2                               Pauvre Pierrot        0      1892      \\N   \n",
       "3                                  Un bon bock        0      1892      \\N   \n",
       "4                             Blacksmith Scene        0      1893      \\N   \n",
       "5                            Chinese Opium Den        0      1894      \\N   \n",
       "6  Corbett and Courtney Before the Kinetograph        0      1894      \\N   \n",
       "7       Edison Kinetoscopic Record of a Sneeze        0      1894      \\N   \n",
       "8                                   Miss Jerry        0      1894      \\N   \n",
       "9          La sortie de l'usine Lumière à Lyon        0      1895      \\N   \n",
       "\n",
       "  runtimeMinutes                    genres  \n",
       "0              1         Documentary,Short  \n",
       "1              5           Animation,Short  \n",
       "2              4  Animation,Comedy,Romance  \n",
       "3             \\N           Animation,Short  \n",
       "4              1                     Short  \n",
       "5              1                     Short  \n",
       "6              1               Short,Sport  \n",
       "7              1         Documentary,Short  \n",
       "8             45                   Romance  \n",
       "9              1         Documentary,Short  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "title_basics = pd.read_csv('title.basics.tsv', delimiter='\\t', encoding='utf-8')\n",
    "\n",
    "title_basics.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Only keep movie related data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tconst</th>\n",
       "      <th>titleType</th>\n",
       "      <th>primaryTitle</th>\n",
       "      <th>originalTitle</th>\n",
       "      <th>isAdult</th>\n",
       "      <th>startYear</th>\n",
       "      <th>endYear</th>\n",
       "      <th>runtimeMinutes</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>tt0000009</td>\n",
       "      <td>movie</td>\n",
       "      <td>Miss Jerry</td>\n",
       "      <td>Miss Jerry</td>\n",
       "      <td>0</td>\n",
       "      <td>1894</td>\n",
       "      <td>\\N</td>\n",
       "      <td>45</td>\n",
       "      <td>Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>tt0000147</td>\n",
       "      <td>movie</td>\n",
       "      <td>The Corbett-Fitzsimmons Fight</td>\n",
       "      <td>The Corbett-Fitzsimmons Fight</td>\n",
       "      <td>0</td>\n",
       "      <td>1897</td>\n",
       "      <td>\\N</td>\n",
       "      <td>20</td>\n",
       "      <td>Documentary,News,Sport</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>tt0000335</td>\n",
       "      <td>movie</td>\n",
       "      <td>Soldiers of the Cross</td>\n",
       "      <td>Soldiers of the Cross</td>\n",
       "      <td>0</td>\n",
       "      <td>1900</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>Biography,Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>tt0000502</td>\n",
       "      <td>movie</td>\n",
       "      <td>Bohemios</td>\n",
       "      <td>Bohemios</td>\n",
       "      <td>0</td>\n",
       "      <td>1905</td>\n",
       "      <td>\\N</td>\n",
       "      <td>100</td>\n",
       "      <td>\\N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>tt0000574</td>\n",
       "      <td>movie</td>\n",
       "      <td>The Story of the Kelly Gang</td>\n",
       "      <td>The Story of the Kelly Gang</td>\n",
       "      <td>0</td>\n",
       "      <td>1906</td>\n",
       "      <td>\\N</td>\n",
       "      <td>70</td>\n",
       "      <td>Biography,Crime,Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>tt0000615</td>\n",
       "      <td>movie</td>\n",
       "      <td>Robbery Under Arms</td>\n",
       "      <td>Robbery Under Arms</td>\n",
       "      <td>0</td>\n",
       "      <td>1907</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>626</th>\n",
       "      <td>tt0000630</td>\n",
       "      <td>movie</td>\n",
       "      <td>Hamlet</td>\n",
       "      <td>Amleto</td>\n",
       "      <td>0</td>\n",
       "      <td>1908</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>tt0000675</td>\n",
       "      <td>movie</td>\n",
       "      <td>Don Quijote</td>\n",
       "      <td>Don Quijote</td>\n",
       "      <td>0</td>\n",
       "      <td>1908</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670</th>\n",
       "      <td>tt0000676</td>\n",
       "      <td>movie</td>\n",
       "      <td>Don Álvaro o la fuerza del sino</td>\n",
       "      <td>Don Álvaro o la fuerza del sino</td>\n",
       "      <td>0</td>\n",
       "      <td>1908</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>673</th>\n",
       "      <td>tt0000679</td>\n",
       "      <td>movie</td>\n",
       "      <td>The Fairylogue and Radio-Plays</td>\n",
       "      <td>The Fairylogue and Radio-Plays</td>\n",
       "      <td>0</td>\n",
       "      <td>1908</td>\n",
       "      <td>\\N</td>\n",
       "      <td>120</td>\n",
       "      <td>Adventure,Fantasy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        tconst titleType                     primaryTitle  \\\n",
       "8    tt0000009     movie                       Miss Jerry   \n",
       "145  tt0000147     movie    The Corbett-Fitzsimmons Fight   \n",
       "332  tt0000335     movie            Soldiers of the Cross   \n",
       "499  tt0000502     movie                         Bohemios   \n",
       "571  tt0000574     movie      The Story of the Kelly Gang   \n",
       "611  tt0000615     movie               Robbery Under Arms   \n",
       "626  tt0000630     movie                           Hamlet   \n",
       "669  tt0000675     movie                      Don Quijote   \n",
       "670  tt0000676     movie  Don Álvaro o la fuerza del sino   \n",
       "673  tt0000679     movie   The Fairylogue and Radio-Plays   \n",
       "\n",
       "                       originalTitle  isAdult startYear endYear  \\\n",
       "8                         Miss Jerry        0      1894      \\N   \n",
       "145    The Corbett-Fitzsimmons Fight        0      1897      \\N   \n",
       "332            Soldiers of the Cross        0      1900      \\N   \n",
       "499                         Bohemios        0      1905      \\N   \n",
       "571      The Story of the Kelly Gang        0      1906      \\N   \n",
       "611               Robbery Under Arms        0      1907      \\N   \n",
       "626                           Amleto        0      1908      \\N   \n",
       "669                      Don Quijote        0      1908      \\N   \n",
       "670  Don Álvaro o la fuerza del sino        0      1908      \\N   \n",
       "673   The Fairylogue and Radio-Plays        0      1908      \\N   \n",
       "\n",
       "    runtimeMinutes                  genres  \n",
       "8               45                 Romance  \n",
       "145             20  Documentary,News,Sport  \n",
       "332             \\N         Biography,Drama  \n",
       "499            100                      \\N  \n",
       "571             70   Biography,Crime,Drama  \n",
       "611             \\N                   Drama  \n",
       "626             \\N                   Drama  \n",
       "669             \\N                   Drama  \n",
       "670             \\N                   Drama  \n",
       "673            120       Adventure,Fantasy  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "title_basics_movie = title_basics[title_basics['titleType'] == 'movie']\n",
    "\n",
    "title_basics_movie.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of movies: 478145\n",
      "Number of features: 9\n"
     ]
    }
   ],
   "source": [
    "print \"Number of movies:\", title_basics_movie.shape[0]\n",
    "print \"Number of features:\", title_basics_movie.shape[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get moive uid(tconst)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8      tt0000009\n",
       "145    tt0000147\n",
       "332    tt0000335\n",
       "499    tt0000502\n",
       "571    tt0000574\n",
       "611    tt0000615\n",
       "626    tt0000630\n",
       "669    tt0000675\n",
       "670    tt0000676\n",
       "673    tt0000679\n",
       "Name: tconst, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uid = title_basics_movie['tconst']\n",
    "\n",
    "uid.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load title.rating data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tconst</th>\n",
       "      <th>averageRating</th>\n",
       "      <th>numVotes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tt0000001</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt0000002</td>\n",
       "      <td>6.5</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt0000003</td>\n",
       "      <td>6.6</td>\n",
       "      <td>934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt0000004</td>\n",
       "      <td>6.4</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt0000005</td>\n",
       "      <td>6.2</td>\n",
       "      <td>1622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>tt0000006</td>\n",
       "      <td>5.7</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>tt0000007</td>\n",
       "      <td>5.5</td>\n",
       "      <td>544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>tt0000008</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>tt0000009</td>\n",
       "      <td>5.4</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>tt0000010</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4851</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      tconst  averageRating  numVotes\n",
       "0  tt0000001            5.8      1350\n",
       "1  tt0000002            6.5       157\n",
       "2  tt0000003            6.6       934\n",
       "3  tt0000004            6.4        93\n",
       "4  tt0000005            6.2      1622\n",
       "5  tt0000006            5.7        80\n",
       "6  tt0000007            5.5       544\n",
       "7  tt0000008            5.6      1441\n",
       "8  tt0000009            5.4        62\n",
       "9  tt0000010            6.9      4851"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "title_ratings = pd.read_csv('title.ratings.tsv', delimiter='\\t', encoding='utf-8')\n",
    "\n",
    "title_ratings.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tconst</th>\n",
       "      <th>averageRating</th>\n",
       "      <th>numVotes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>tt0000009</td>\n",
       "      <td>5.4</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>tt0000147</td>\n",
       "      <td>5.2</td>\n",
       "      <td>246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>tt0000335</td>\n",
       "      <td>6.2</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>tt0000574</td>\n",
       "      <td>6.3</td>\n",
       "      <td>431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>tt0000615</td>\n",
       "      <td>5.1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>tt0000630</td>\n",
       "      <td>2.9</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>tt0000675</td>\n",
       "      <td>4.7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>tt0000676</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>tt0000679</td>\n",
       "      <td>6.1</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>tt0000739</td>\n",
       "      <td>7.2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        tconst  averageRating  numVotes\n",
       "8    tt0000009            5.4        62\n",
       "141  tt0000147            5.2       246\n",
       "232  tt0000335            6.2        32\n",
       "331  tt0000574            6.3       431\n",
       "347  tt0000615            5.1        12\n",
       "353  tt0000630            2.9         8\n",
       "380  tt0000675            4.7         7\n",
       "381  tt0000676            4.0         6\n",
       "382  tt0000679            6.1        24\n",
       "412  tt0000739            7.2         6"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "title_ratings_movie = title_ratings[title_ratings['tconst'].isin(uid.values)]\n",
    "\n",
    "title_ratings_movie.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Top 10 highest rating movies with votes over 100000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 9.3,  9.2,  9. ,  9. ,  8.9,  8.9,  8.9,  8.9,  8.9,  8.8])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rating10 = title_ratings_movie[title_ratings_movie['numVotes'] > 100000].sort_values(['averageRating'], ascending=[0]).head(10)\n",
    "uid10 = rating10['tconst'].values\n",
    "\n",
    "rating10 = rating10['averageRating'].values\n",
    "\n",
    "rating10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Top 10 highest rating movies with votes over 100000 (sorted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['The Shawshank Redemption',\n",
       " 'The Godfather',\n",
       " 'The Dark Knight',\n",
       " 'The Godfather: Part II',\n",
       " 'Pulp Fiction',\n",
       " '12 Angry Men',\n",
       " \"Schindler's List\",\n",
       " 'The Lord of the Rings: The Return of the King',\n",
       " 'The Good, the Bad and the Ugly',\n",
       " 'Inception']"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#movie10 = title_basics_movie[title_basics_movie['tconst'].isin(uid10)]['primaryTitle']\n",
    "movie10 = list()\n",
    "for i in uid10:\n",
    "    movie10.append(title_basics_movie[title_basics_movie['tconst'] == i]['primaryTitle'].values[0].encode('ascii','ignore'))\n",
    "    \n",
    "movie10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZvWbNmnlsviRJkrTpuu4mVFVnJnklcCJwGfB1YO0M1R8FfHGii9B9qur8JLsD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\nxL9aCYDNE1pXWhg/DrVxPI+tagvgxWRXuTpIqBbmMKOMU9K4iBiLXeb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ePR8RK6ZFewHs\n/V48IlaIiDMi4l/YY16Fux4lqX993eoImr9P06j6U72HQ5+ezeeKiP0jYihwbno9bsO5BNX5fB73\nNDgP+ExE9AfOBYbLZU7HSjpZ0oaSLpA0Ovf9qqSBqWAUCoUuzkcuLSppHA4TWjRjH4dh6/+muclz\nOJ+gD3AUsG9E3BkRw4CtavupGoa8kvucqnazkk82tEKhUCjMjDSvGTCF0ag/ruBDhrU8AbyZhqiH\ngTERsSw2YA0Id7gHF69YBXu3ZwcOiIgFcd37l/P/m3jd+6WkrZXNriS9lv/bbd2KiHki4ksRcVht\nzFMV74iIyyLioYjYN5Ogq4RecF3/9cKVkcDKzIm4vOmaOJl4j1r4VB/gLjnR9yDc12cHScc1fW9M\nyyNRKBS6Ph9JGahZH0ZgK0FV+3wQaUXALsJewBaSrsaxhocBq0j6hqQR09p/cRkWCoVC4aMyrTUj\n4/DHARMiYuV8eUPgofzMW7ie/dZYMH4Td/IGd/leE3ev/zVeH/vjMJgewCRJz0v6jaQH8vva1RMQ\nERtHxK8z5OkO4PvAzyOibwrg26dFn6biHVsDWwKHVrvK/9cCn8bnBEn3S7oYx/ovLOn2HPu5uHLf\n5ZKqsKHxkv6eycJTdTeelkeiUCh0fT5uadHhwGZ4MnkM1/4/GPglrhx0EraaVJVPxsJkd2Ox9hcK\nhULhQ8mqNqOA51tYv+cBdsOW64G4m/2YfLsb7l9zPXBHRLwMzAOMj4jhkkYB9wBbSvpTRLyEFYBL\ncTLs14B5s7jFIUBPXE9/GzL+PS3gH7S3B7uNi3dUFYvuBhbCYUGH4RKh62AjX7Xt37GHoNUxRfHc\nFwozHx/JM1C78UflZxbN51cBu+Y2EyUNr8cI1hKU2qVWcqFQKBRmfCJi3ohYMCJ65kvHA5tkXPu8\nEbFEbfOdcDWfn2KB+P8iYq6mXf4DeE/SyljY74ZDXMDKwOa5Pg3H+QGzZejqVyQ9ndvtgS3pB2Dh\nexx0aMfbNi/ekWvxFTiHYnscFvVXXDp0eH3bVsnIZR0vFGZO4uPe2xGxgKTx7XQ8hUKhUJjJSeH+\nZTUaRu4E9JJ0eT7/Ba5//wbwVRzCcyFwA45xfxcYjy35Y4DvSxpZ239PbE1fWO7sS0Tcj5WEP+Fe\nNn/NsKHmY+shaVJkeev2GP/HIfMWDgX+nd6Mz+ACHEtJ+iAiDsD5DEdiT8kPJN2Rn/0qcF96FEpT\nzkKh0JKPnEBcURSBQqFQKPwvRMQWEfEwLkm5QO2t3sAvI+KBiDgBC//rAq9IWhx3nf95xqWvgjvn\nfgDsKWmnJkWgu1zhbhLw+dp37AmcIuk1SedWikCL6nWT8n+nKwLQpsU7plIEWiViFwqFWY+PmzNQ\nKBQKhcKHkgJ2FcMfmfC7ELZw/zAiZs/tugHvYYH2b8BxQHdczroKXbkOODEiepMNKqsQmLSU95Q0\npOkQdgQmdweW9Fzz8XX1+PeaNX8EztdbCufrVcU77mTK4h2XRcQAoC/w4Icl9Zak30KhAP+DZ6BQ\nKBQKhQ+jqjCT/z/I8pZ7AztExN04+bWKY/8brtwzAuiR1vnngd5p6Z+IS4RuixtcrRJuLHYzzl1b\nv/a9VfnqwVUlnGkdX3uMu52olKJP5//B+FxAo3jH38HFOyQNkPR+xv13aO+DQqEw41GUgUKhUCh8\nbDK6ZvWI+H4+79b0fr+IOCYirouInTM/4HpgNLC3skZ/7XNjcEffxfL5AFwqc87a8wMlvYTDjK7E\nicYrSTpnWsfYRsPtFErxjkKh0BEUZaBQKBQKH5maoClgQeCLab1vrvt/CM4FOAnnAxwo6U/AA8Au\nua/uuBoOwEO5v3ny+UBgIxq5BRfgEKKqw+0Vkm7PikMt17KZRRDO/IZfSzozn78t6cXpbD9TjLtQ\nKHQMRRkoFAqFwjSJiB5NCbbK1/sAswH/BVbP17rl/3WwInC6pDuBs4B1I6IXcD/w2druKsF1EI6H\nvyrj3scAR+CmX0h6UdLNteOKugW8PcbelSjFOwqFQntRlIFCoVAoAJMF7O7N1XXS+t4zIlaKiDmy\n8dUAbOFfglQGcOJvRTfg9Xx8G64AJFwpaNnc92QhXtLbuOznzpI2kLv9Xq9GwyyalZJiAS8UCoVP\nTlEGCoVCoQBMmfRbvRYRn42IC4DTcaOrTYD1JC0P/AR37t04N5+U/4dgxWCHfD4Wx/73wgmvH0TE\nai2+f4Kkp/J7p4r3L8J/oVAotD2ltGihUCjMQmR5zl2A4ZIGRES3ykIfEfPj7rSfBu7MKj/vAfsC\nm0m6J0t5zp27mwicBxydNfBfz/29GxHn4pr32wCrAmdkzXwiYhNJb0+vEVYR/AuFQqFjKMpAoVAo\nzFrMA6wJzI9DfYDJybw/wN1sbwe+l4nBl0bEBFz2E9w34IWIWFnS4xGxMM4PWAWHAFVx/DdExCgc\nQnRUZfHP96arCBQKhUKh4yhhQoVCoTCTkfXlu0/j7Rdx464lYYq4/e7A14HDJF0InApsGRFzYaVh\nh9x+OPAqcFBELAmsDbwLbJHvT25kJekJSZfVFYHae0URKBQKhS5AUQYKhUJhBqc5vj7ry7fsLivp\nPVypZ96IWKr21mLAzcAK+fwJLOQvjhta7Vrb9nDcL+AGHCq0H/CbaR3bjF7vv1AoFGZmijJQKBQK\nMxARMU9EfCkiDqtea7ayR8SOEXFZRDwUEftmKA81b8FzWIhfpfax97DXYOd8/jawPE7+vZNGMjCS\nxgDHS1pF0gmSnkklYypK1Z9CoVDo2pScgUKhUOjiRMTGwPa4Pv+cwARglYj4G+5Oux0wRNILWf9/\nLeA0XLnn9zhu/yfYAPQ+8AIwDif2Xg8g6fmIuAq4ICJOBNYBHpT0BvB4Jg5PptZvoDtQOt0WCoXC\nDEqU+btQKBS6LhFxBdAHeAcrAYdKGpG1/lfEoTzL4bj+n2Eh/rfAP3AZ0AWACySdUttnN2AfrCSc\nD2wLfBE4AHsEdgIekXRHbt99WmFHhUKhUJixKcpAoVAodGEiYg5J70REX+C7wM2SbomIA3CH3qWw\nxf80XPP/OhzPvz8wUNKwaex3W9wZuDvwL+AO4HJJ77brgAqFQqHQpSg5A4VCodCFkfROPnwLl+1c\nNp/fiTv6KuP1H8Ex/q/iakGjKkUgIr4aEf3ycZU3cC+wrqSlJX1L0sWVIpA5v2V9KBQKhVmAMtkX\nCoXCDEA27BoLLJoNvoYBI4FNc5PncD5BH+Ao3PDrzogYBmxV28/7+f8tSf9Jwb97XfjPnN+q5Gih\nUCgUZmJKAnGhUCh0cWoNukYAm+HQoMeAQcA22EswBugFbCHpsogYAPTFScDTjPfP/ZZ8gEKhUJhF\nKZ6BQqFQmHEYnv8/nf8H4+RfcOWgk3BPACSNlTRA0vvZhKzU+i8UCoXCVBTPQKFQKHRxamU7R2Ej\nzqL5/Crg1txmIg1lAWh4FErIT6FQKBSmRakmVCgUCjMQEbGApPGdfRyFQqFQmDkoykChUCgUCoVC\noTCLUnIGCoVCoVAoFAqFWZSiDBQKhUKhUCgUCrMoRRkoFAqFQqFQKBRmUYoyUCgUCoVCoVAozKIU\nZaBQKBQKhUKhUJhFKcpAoVAoFGYqIqJvRCgiju7sYykUCoWuTlEGCoVCoVAoFAqFWZTSZ6BQKBQK\nMxUREcDswCRJkzr7eAqFQqErU5SBQqFQKBQKhUJhFqWECRUKhULhfyIivp6x+VtFxJERMSoiJkTE\nAxGxQW6zeUTcExFvRcSLEXFEi/18PiLujYg38+/eiNi1aZsHIuKliOjR4vPb5XH8MJ9PM2cgIvbK\n43kjIt7O/X6xzU5KoVAozGAUZaBQKBQKn5QTgM8DfwCOAfoBN0XE54GrgLuBQ4AngV9FxFerD0bE\nd4F/AH2AY4Ff5+OrI+Lbte+4EFgI2L7F9+8LTAIund5BRsSxwF+BN4AjgJ8BbwNXRMT3Pt6QC4VC\nYeaghAkVCoVC4X8iIr4OnA88DGwg6d18fRegP/A+sKGkB/P12YBRwLOSNoyI3sBzwFhgLUmv53bz\n5j4XApaU9N+I6AO8CPSXtGftGObJz98qaZd8rS8wEjhG0tH52lrAYOB4Sb9oGsfVwJbA4pLeaMtz\nVCgUCl2d4hkoFAqFwiflzEoRSO7O/wMqRQAgtxkILJcvbQP0Ak6tFIHc7nXgNGBuYOt87RXgGmCX\niJi/9l1fBObCnoPpsTcg4MKIWKD+B/wTmAfY8GOMuVAoFGYKpoq9LBQKhULhYzKi/kTSqy7ow8gW\n274KfCofL5P/H2+x3WP5v1/ttYuA3YE9gbPztX1zn9d+yDF+BggcqjQtFv6QfRQKhcJMR1EGCoVC\nofBJef9jvl4RH/N7rgfGYQXg7IhYCtgcOEvSxI/wXQJ2mM5xtVJKCoVCYaamKAOFQqFQ6Cyeyf8r\nA7c2vbdS/p/sdZA0KSIuBX4QEf2AL2Mh/8NChACexsnHoyUN+0RHXSgUCjMRJWegUCgUCp3Fv4C3\ngIMyERiYnBR8EPBmblOnEvz3BfYBhkt64CN811/y/3ER0b35zYhY6GMee6FQKMwUFM9AoVAoFDqF\nrBJ0KHA68EBEXJBvfR34NPAdSa81febhiBgK/AiYF5iiMtB0vuvBiDgKlz59JCKuAF4AFgXWBnYE\nZvvEgyoUCoUZjKIMFAqFQqHTkHRGRLwI/BQ4Kl9+FNhN0tXT+NiFwG+BD4CLP8Z3/SoiBgMHAz/E\nlYxexsnKP/jfRlAoFAozNqXPQKFQKBQKhUKhMItScgYKhUKhUCgUCoVZlKIMFAqFQqFQKBQKsyhF\nGSgUCoVCoVAoFGZRijJQKBQKhUKhUCjMohRloFAoFAqFQqFQmEUpykChUCgUCoVCoTCLUpSBQqFQ\nKBQKhUJhFqUoA4VCoVAoFAqFwixKUQYKhUKhUCgUCoVZlKIMFAqFQqFQKBQKsyj/D2SnT0kS85o5\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114162510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "\n",
    "ax.bar(np.arange(10), rating10, tick_label=movie10)\n",
    "ax.set_title('Top 10 highest rating movies with number of votes over 100,000', fontsize=20)\n",
    "ax.set_xlabel('movie', fontsize=18)\n",
    "ax.set_ylabel('rating', fontsize=18)\n",
    "ax.set_ylim(8, 10)\n",
    "\n",
    "plt.setp(ax.get_xticklabels(), rotation=15, horizontalalignment='right')\n",
    "\n",
    "#plt.savefig('top10movies.png')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}