Scrap top100 series from IMDb - 27.06.17.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scrap top100 series from IMDb and plott some (date: 27.06.2017)\n",
    "### scraping through BeautifulSoup & IMDbPY, plotting with bokeh, and tqdm for sweet, smart progress bars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Zur besseren Lesbarkeit des jupyter notebooks Toggler-Buttons mittels jQuery einbauen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "function toggler(){\n",
       "    if(window.already_toggling){\n",
       "        // Don't add multiple buttons. Needed for in notebokk use.\n",
       "        return 0;\n",
       "    }\n",
       "    \n",
       "    /*quick way if all inputs/outputs get a button\n",
       "    let btnInput = $('.cell').prepend('<button>&#128065;Toggle this input</button>').children('button');\n",
       "    let btnOutput = $('.output_wrapper').prepend('<button>Toggle this output</button>').children('button');\n",
       "    */\n",
       "    \n",
       "    //add buttons to inputs/outputs with @toggleInput/@toggleOutput #comments\n",
       "    let btnInput;\n",
       "    let btnOutput;\n",
       "    if ($('ipython-main-app') == true) {\n",
       "        //#comment is class .cm-comment in notebook\n",
       "        btnInput = $('..cm-comment:contains(@toggleInput)').closest('.cell')\n",
       "                    .prepend('<button>Hide this input</button>').children('button');\n",
       "        btnOutput = $('..cm-comment:contains(@toggleOutput)').closest('.cell').children('.output_wrapper')\n",
       "                    .prepend('<button>Hide this output</button>').children('button');\n",
       "    } else {\n",
       "        //#comment is class .c1 in html!\n",
       "        btnInput = $('.c1:contains(@toggleInput)').closest('.cell')\n",
       "                    .prepend('<button>Hide this input</button>').children('button');\n",
       "        btnOutput = $('.c1:contains(@toggleOutput)').closest('.cell').children('.output_wrapper')\n",
       "                    .prepend('<button>Hide this output</button>').children('button');\n",
       "    }\n",
       "    \n",
       "    //store alternative text to change/swap on toggle\n",
       "    btnInput.data(\"altText\", \"Show this input\");    \n",
       "    btnOutput.data(\"altText\", \"Show this output\");\n",
       "    \n",
       "    //style buttons\n",
       "    btnInput.css({\n",
       "        \"background-color\": \"transparent\",\n",
       "        \"color\": \"#303F9F\",\n",
       "        \"border\": \"1px solid #303F9F\",\n",
       "        \"margin-bottom\": \"5px\"\n",
       "    });\n",
       "    btnOutput.css({\n",
       "        \"background-color\": \"transparent\",\n",
       "        \"color\": \"#D84315\",\n",
       "        \"border\": \"1px solid #D84315\",\n",
       "        \"margin-top\": \"5px\"\n",
       "    });\n",
       "    \n",
       "    //add button hover functionality/style\n",
       "    btnInput.hover(function(){\n",
       "        $(this).css({\"opacity\": \"0.5\"});\n",
       "    }, function(){\n",
       "        $(this).css({\"opacity\": \"1\"});\n",
       "    });\n",
       "    btnOutput.hover(function(){\n",
       "        $(this).css({\"opacity\": \"0.5\"});\n",
       "    }, function(){\n",
       "        $(this).css({\"opacity\": \"1\"});\n",
       "    });\n",
       "    \n",
       "    //add button click functionality (toggle + textchange)\n",
       "    btnInput.on('click', function(){\n",
       "        $(this).siblings('.input').slideToggle();\n",
       "        let oldText = $(this).text();\n",
       "        $(this).text($(this).data(\"altText\"));\n",
       "        $(this).data(\"altText\", oldText);\n",
       "    })\n",
       "    btnOutput.on('click', function(){\n",
       "        $(this).siblings('.output').slideToggle();\n",
       "        let oldText = $(this).text();\n",
       "        $(this).text($(this).data(\"altText\"));\n",
       "        $(this).data(\"altText\", oldText);\n",
       "    })\n",
       "    \n",
       "    //hide inputs/outputs with #comments @toggleInputDefault/@toggleOutputDefault\n",
       "    //#comment is class .cm-comment in notebook and .c1 in html! \n",
       "    //#@toggleInputDefault\n",
       "    $('.cm-comment:contains(@toggleInputDefault)').closest('.cell')\n",
       "        .children('button').trigger('click');\n",
       "    $('.c1:contains(@toggleInputDefault)').closest('.cell')\n",
       "        .children('button').trigger('click');\n",
       "    //#@toggleOutputDefault\n",
       "    $('.cm-comment:contains(@toggleOutputDefault)').closest('.cell').children('.output_wrapper')\n",
       "        .children('button').trigger('click');\n",
       "    $('.c1:contains(@toggleOutputDefault)').closest('.cell').children('.output_wrapper')\n",
       "        .children('button').trigger('click');\n",
       "    \n",
       "    window.already_toggling = true;\n",
       "}\n",
       "$( document ).ready(toggler);\n",
       "                 \n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#@toggleInputDefault\n",
    "from IPython.display import HTML\n",
    "#Methode zum togglen(show/hide) markierter Inputs/Outputs mit jQuery(html,css)\n",
    "HTML('''<script>\n",
    "function toggler(){\n",
    "    if(window.already_toggling){\n",
    "        // Don't add multiple buttons. Needed for in notebokk use.\n",
    "        return 0;\n",
    "    }\n",
    "    \n",
    "    /*quick way if all inputs/outputs get a button\n",
    "    let btnInput = $('.cell').prepend('<button>&#128065;Toggle this input</button>').children('button');\n",
    "    let btnOutput = $('.output_wrapper').prepend('<button>Toggle this output</button>').children('button');\n",
    "    */\n",
    "    \n",
    "    //add buttons to inputs/outputs with @toggleInput/@toggleOutput #comments\n",
    "    let btnInput;\n",
    "    let btnOutput;\n",
    "    if ($('ipython-main-app') == true) {\n",
    "        //#comment is class .cm-comment in notebook\n",
    "        btnInput = $('..cm-comment:contains(@toggleInput)').closest('.cell')\n",
    "                    .prepend('<button>Hide this input</button>').children('button');\n",
    "        btnOutput = $('..cm-comment:contains(@toggleOutput)').closest('.cell').children('.output_wrapper')\n",
    "                    .prepend('<button>Hide this output</button>').children('button');\n",
    "    } else {\n",
    "        //#comment is class .c1 in html!\n",
    "        btnInput = $('.c1:contains(@toggleInput)').closest('.cell')\n",
    "                    .prepend('<button>Hide this input</button>').children('button');\n",
    "        btnOutput = $('.c1:contains(@toggleOutput)').closest('.cell').children('.output_wrapper')\n",
    "                    .prepend('<button>Hide this output</button>').children('button');\n",
    "    }\n",
    "    \n",
    "    //store alternative text to change/swap on toggle\n",
    "    btnInput.data(\"altText\", \"Show this input\");    \n",
    "    btnOutput.data(\"altText\", \"Show this output\");\n",
    "    \n",
    "    //style buttons\n",
    "    btnInput.css({\n",
    "        \"background-color\": \"transparent\",\n",
    "        \"color\": \"#303F9F\",\n",
    "        \"border\": \"1px solid #303F9F\",\n",
    "        \"margin-bottom\": \"5px\"\n",
    "    });\n",
    "    btnOutput.css({\n",
    "        \"background-color\": \"transparent\",\n",
    "        \"color\": \"#D84315\",\n",
    "        \"border\": \"1px solid #D84315\",\n",
    "        \"margin-top\": \"5px\"\n",
    "    });\n",
    "    \n",
    "    //add button hover functionality/style\n",
    "    btnInput.hover(function(){\n",
    "        $(this).css({\"opacity\": \"0.5\"});\n",
    "    }, function(){\n",
    "        $(this).css({\"opacity\": \"1\"});\n",
    "    });\n",
    "    btnOutput.hover(function(){\n",
    "        $(this).css({\"opacity\": \"0.5\"});\n",
    "    }, function(){\n",
    "        $(this).css({\"opacity\": \"1\"});\n",
    "    });\n",
    "    \n",
    "    //add button click functionality (toggle + textchange)\n",
    "    btnInput.on('click', function(){\n",
    "        $(this).siblings('.input').slideToggle();\n",
    "        let oldText = $(this).text();\n",
    "        $(this).text($(this).data(\"altText\"));\n",
    "        $(this).data(\"altText\", oldText);\n",
    "    })\n",
    "    btnOutput.on('click', function(){\n",
    "        $(this).siblings('.output').slideToggle();\n",
    "        let oldText = $(this).text();\n",
    "        $(this).text($(this).data(\"altText\"));\n",
    "        $(this).data(\"altText\", oldText);\n",
    "    })\n",
    "    \n",
    "    //hide inputs/outputs with #comments @toggleInputDefault/@toggleOutputDefault\n",
    "    //#comment is class .cm-comment in notebook and .c1 in html! \n",
    "    //#@toggleInputDefault\n",
    "    $('.cm-comment:contains(@toggleInputDefault)').closest('.cell')\n",
    "        .children('button').trigger('click');\n",
    "    $('.c1:contains(@toggleInputDefault)').closest('.cell')\n",
    "        .children('button').trigger('click');\n",
    "    //#@toggleOutputDefault\n",
    "    $('.cm-comment:contains(@toggleOutputDefault)').closest('.cell').children('.output_wrapper')\n",
    "        .children('button').trigger('click');\n",
    "    $('.c1:contains(@toggleOutputDefault)').closest('.cell').children('.output_wrapper')\n",
    "        .children('button').trigger('click');\n",
    "    \n",
    "    window.already_toggling = true;\n",
    "}\n",
    "$( document ).ready(toggler);\n",
    "                 \n",
    "</script>''')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#@toggleInputDefault\n",
    "from tqdm import tqdm\n",
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "from imdb import IMDb\n",
    "from collections import OrderedDict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#@toggleInputDefault\n",
    "r = requests.get('http://www.imdb.com/chart/tvmeter?ref_=nv_tvv_mptv_4')\n",
    "c = r.content\n",
    "soup = BeautifulSoup(c, 'html.parser')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#@toggleInputDefault\n",
    "#Tabelle mit den Serien finden\n",
    "table = soup.find('tbody', 'lister-list')\n",
    "\n",
    "#alle Einträge erfassen\n",
    "titleColumns = table.findAll('td', 'titleColumn')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Von IMDb Serien IDs abgreifen und in Dict füllen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [08:37<00:00,  4.07s/it]\n"
     ]
    }
   ],
   "source": [
    "#@toggleInputDefault\n",
    "#@toggleOutputDefault\n",
    "series_data = {}\n",
    "imdb = IMDb()\n",
    "rank = 1\n",
    "#Einträge durchgehen und Dict mit den IDs füllen\n",
    "for titleColumn in tqdm(titleColumns):\n",
    "    #<a>-Tag im Eintrag finden\n",
    "    a = titleColumn.find('a')\n",
    "    #in der dort zu findenden URL die Stelle der ID herausfinden\n",
    "    i = a['href'].find('tt')\n",
    "    #ID herauskopieren\n",
    "    iid = a['href'][i+2:i+9]\n",
    "    m = imdb.get_movie(iid)\n",
    "    #den Titel über die IMDb-Biblio nehmen, damit Original Titel und nicht deutscher von der Webseite\n",
    "    title = m['title']\n",
    "    #Serie mit Titel und ID in der gewünschten Struktur im Dict abspeichern\n",
    "    dichelp = {}\n",
    "    dichelp['id'] = iid.encode('ascii','ignore') #ID braucht kein U-Code, simpler String also\n",
    "    dichelp['rank'] = rank\n",
    "    #movieObject auch gleich abspeichern, um später nicht erneut aufrufen zu müssen!\n",
    "    dichelp['movieObject'] = m\n",
    "    rank += 1\n",
    "    if title in series_data:#falls Title schon gehabt\n",
    "        for name, series in list(series_data.iteritems()):\n",
    "            if title == name:#Serie mit gleichem Title raussuchen\n",
    "                if iid != series['id']:#prüfen ob das die gleiche Serie ist oder nicht\n",
    "                    series_data[name+' ('+str(series['movieObject']['year'])+')'] = series_data.pop(name)\n",
    "                    series_data[title+' ('+str(m['year'])+')'] = dichelp #falls nicht Namensvariationen benutzen ansonsten(gleiche Serie) ignorieren\n",
    "    else:\n",
    "        series_data[title] = dichelp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{u'13 Reasons Why': {'id': '1837492',\n",
       "  'movieObject': <Movie id:1837492[http] title:_\"13 Reasons Why\" (2017)_>,\n",
       "  'rank': 18},\n",
       " u'Agents of S.H.I.E.L.D.': {'id': '2364582',\n",
       "  'movieObject': <Movie id:2364582[http] title:_\"Agents of S.H.I.E.L.D.\" (2013)_>,\n",
       "  'rank': 42},\n",
       " u'American Gods': {'id': '1898069',\n",
       "  'movieObject': <Movie id:1898069[http] title:_\"American Gods\" (2017)_>,\n",
       "  'rank': 4},\n",
       " u'American Horror Story': {'id': '1844624',\n",
       "  'movieObject': <Movie id:1844624[http] title:_\"American Horror Story\" (2011)_>,\n",
       "  'rank': 51},\n",
       " u'Animal Kingdom': {'id': '5574490',\n",
       "  'movieObject': <Movie id:5574490[http] title:_\"Animal Kingdom\" (2016)_>,\n",
       "  'rank': 53},\n",
       " u'Arrow': {'id': '2193021',\n",
       "  'movieObject': <Movie id:2193021[http] title:_\"Arrow\" (2012)_>,\n",
       "  'rank': 25},\n",
       " u'Better Call Saul': {'id': '3032476',\n",
       "  'movieObject': <Movie id:3032476[http] title:_\"Better Call Saul\" (2015)_>,\n",
       "  'rank': 29},\n",
       " u'Big Little Lies': {'id': '3920596',\n",
       "  'movieObject': <Movie id:3920596[http] title:_\"Big Little Lies\" (2017)_>,\n",
       "  'rank': 76},\n",
       " u'Black Mirror': {'id': '2085059',\n",
       "  'movieObject': <Movie id:2085059[http] title:_\"Black Mirror\" (2011)_>,\n",
       "  'rank': 37},\n",
       " u'Blood Drive': {'id': '4898282',\n",
       "  'movieObject': <Movie id:4898282[http] title:_\"Blood Drive\" (2017)_>,\n",
       "  'rank': 60},\n",
       " u'Bloodline': {'id': '3520702',\n",
       "  'movieObject': <Movie id:3520702[http] title:_\"Bloodline\" (2015)_>,\n",
       "  'rank': 68},\n",
       " u'Bones': {'id': '0460627',\n",
       "  'movieObject': <Movie id:0460627[http] title:_\"Bones\" (2005)_>,\n",
       "  'rank': 93},\n",
       " u'Breaking Bad': {'id': '0903747',\n",
       "  'movieObject': <Movie id:0903747[http] title:_\"Breaking Bad\" (2008)_>,\n",
       "  'rank': 34},\n",
       " u'Brooklyn Nine-Nine': {'id': '2467372',\n",
       "  'movieObject': <Movie id:2467372[http] title:_\"Brooklyn Nine-Nine\" (2013)_>,\n",
       "  'rank': 88},\n",
       " u'Claws': {'id': '5640558',\n",
       "  'movieObject': <Movie id:5640558[http] title:_\"Claws\" (2017)_>,\n",
       "  'rank': 96},\n",
       " u'Criminal Minds': {'id': '0452046',\n",
       "  'movieObject': <Movie id:0452046[http] title:_\"Criminal Minds\" (2005)_>,\n",
       "  'rank': 50},\n",
       " u'Dark Matter': {'id': '4159076',\n",
       "  'movieObject': <Movie id:4159076[http] title:_\"Dark Matter\" (2015)_>,\n",
       "  'rank': 75},\n",
       " u'Dexter': {'id': '0773262',\n",
       "  'movieObject': <Movie id:0773262[http] title:_\"Dexter\" (2006)_>,\n",
       "  'rank': 85},\n",
       " u'Doctor Who': {'id': '0436992',\n",
       "  'movieObject': <Movie id:0436992[http] title:_\"Doctor Who\" (2005)_>,\n",
       "  'rank': 19},\n",
       " u'El Chapo': {'id': '6692188',\n",
       "  'movieObject': <Movie id:6692188[http] title:_\"El Chapo\" (2017)_>,\n",
       "  'rank': 46},\n",
       " u'Family Guy': {'id': '0182576',\n",
       "  'movieObject': <Movie id:0182576[http] title:_\"Family Guy\" (1999)_>,\n",
       "  'rank': 81},\n",
       " u'Fargo': {'id': '2802850',\n",
       "  'movieObject': <Movie id:2802850[http] title:_\"Fargo\" (2014)_>,\n",
       "  'rank': 11},\n",
       " u'Fear the Walking Dead': {'id': '3743822',\n",
       "  'movieObject': <Movie id:3743822[http] title:_\"Fear the Walking Dead\" (2015)_>,\n",
       "  'rank': 26},\n",
       " u'Friends': {'id': '0108778',\n",
       "  'movieObject': <Movie id:0108778[http] title:_\"Friends\" (1994)_>,\n",
       "  'rank': 32},\n",
       " u'GLOW': {'id': '5770786',\n",
       "  'movieObject': <Movie id:5770786[http] title:_\"GLOW\" (2017)_>,\n",
       "  'rank': 2},\n",
       " u'GLOW: Gorgeous Ladies of Wrestling': {'id': '0252462',\n",
       "  'movieObject': <Movie id:0252462[http] title:_\"GLOW: Gorgeous Ladies of Wrestling\" (1986)_>,\n",
       "  'rank': 73},\n",
       " u'Game of Thrones': {'id': '0944947',\n",
       "  'movieObject': <Movie id:0944947[http] title:_\"Game of Thrones\" (2011)_>,\n",
       "  'rank': 1},\n",
       " u'Genius': {'id': '5673782',\n",
       "  'movieObject': <Movie id:5673782[http] title:_\"Genius\" (2017)_>,\n",
       "  'rank': 59},\n",
       " u'Gotham': {'id': '3749900',\n",
       "  'movieObject': <Movie id:3749900[http] title:_\"Gotham\" (2014)_>,\n",
       "  'rank': 49},\n",
       " u\"Grey's Anatomy\": {'id': '0413573',\n",
       "  'movieObject': <Movie id:0413573[http] title:_\"Grey's Anatomy\" (2005)_>,\n",
       "  'rank': 31},\n",
       " u'Gypsy': {'id': '5503718',\n",
       "  'movieObject': <Movie id:5503718[http] title:_\"Gypsy\" (2017)_>,\n",
       "  'rank': 64},\n",
       " u'Hawaii Five-0': {'id': '1600194',\n",
       "  'movieObject': <Movie id:1600194[http] title:_\"Hawaii Five-0\" (2010)_>,\n",
       "  'rank': 97},\n",
       " u'Homeland': {'id': '1796960',\n",
       "  'movieObject': <Movie id:1796960[http] title:_\"Homeland\" (2011)_>,\n",
       "  'rank': 74},\n",
       " u'House of Cards': {'id': '1856010',\n",
       "  'movieObject': <Movie id:1856010[http] title:_\"House of Cards\" (2013)_>,\n",
       "  'rank': 12},\n",
       " u'How I Met Your Mother': {'id': '0460649',\n",
       "  'movieObject': <Movie id:0460649[http] title:_\"How I Met Your Mother\" (2005)_>,\n",
       "  'rank': 55},\n",
       " u'Inhumans': {'id': '4154858',\n",
       "  'movieObject': <Movie id:4154858[http] title:_\"Inhumans\" (2017)_>,\n",
       "  'rank': 15},\n",
       " u\"It's Always Sunny in Philadelphia\": {'id': '0472954',\n",
       "  'movieObject': <Movie id:0472954[http] title:_\"It's Always Sunny in Philadelphia\" (2005)_>,\n",
       "  'rank': 98},\n",
       " u'Law & Order: Special Victims Unit': {'id': '0203259',\n",
       "  'movieObject': <Movie id:0203259[http] title:_\"Law & Order: Special Victims Unit\" (1999)_>,\n",
       "  'rank': 79},\n",
       " u'Lost': {'id': '0411008',\n",
       "  'movieObject': <Movie id:0411008[http] title:_\"Lost\" (2004)_>,\n",
       "  'rank': 84},\n",
       " u'Lucifer': {'id': '4052886',\n",
       "  'movieObject': <Movie id:4052886[http] title:_\"Lucifer\" (2015)_>,\n",
       "  'rank': 71},\n",
       " u'Mad Men': {'id': '0804503',\n",
       "  'movieObject': <Movie id:0804503[http] title:_\"Mad Men\" (2007)_>,\n",
       "  'rank': 90},\n",
       " u'Modern Family': {'id': '1442437',\n",
       "  'movieObject': <Movie id:1442437[http] title:_\"Modern Family\" (2009)_>,\n",
       "  'rank': 48},\n",
       " u'NCIS: Naval Criminal Investigative Service': {'id': '0364845',\n",
       "  'movieObject': <Movie id:0364845[http] title:_\"NCIS: Naval Criminal Investigative Service\" (2003)_>,\n",
       "  'rank': 58},\n",
       " u'Narcos': {'id': '2707408',\n",
       "  'movieObject': <Movie id:2707408[http] title:_\"Narcos\" (2015)_>,\n",
       "  'rank': 70},\n",
       " u'Once Upon a Time': {'id': '1843230',\n",
       "  'movieObject': <Movie id:1843230[http] title:_\"Once Upon a Time\" (2011)_>,\n",
       "  'rank': 66},\n",
       " u'Orange Is the New Black': {'id': '2372162',\n",
       "  'movieObject': <Movie id:2372162[http] title:_\"Orange Is the New Black\" (2013)_>,\n",
       "  'rank': 3},\n",
       " u'Orphan Black': {'id': '2234222',\n",
       "  'movieObject': <Movie id:2234222[http] title:_\"Orphan Black\" (2013)_>,\n",
       "  'rank': 72},\n",
       " u'Outlander': {'id': '3006802',\n",
       "  'movieObject': <Movie id:3006802[http] title:_\"Outlander\" (2014)_>,\n",
       "  'rank': 45},\n",
       " u'Parks and Recreation': {'id': '1266020',\n",
       "  'movieObject': <Movie id:1266020[http] title:_\"Parks and Recreation\" (2009)_>,\n",
       "  'rank': 87},\n",
       " u'Peaky Blinders': {'id': '2442560',\n",
       "  'movieObject': <Movie id:2442560[http] title:_\"Peaky Blinders\" (2013)_>,\n",
       "  'rank': 77},\n",
       " u'Poldark': {'id': '3636060',\n",
       "  'movieObject': <Movie id:3636060[http] title:_\"Poldark\" (2015)_>,\n",
       "  'rank': 95},\n",
       " u'Power': {'id': '3281796',\n",
       "  'movieObject': <Movie id:3281796[http] title:_\"Power\" (I) (2014)_>,\n",
       "  'rank': 8},\n",
       " u'Preacher': {'id': '5016504',\n",
       "  'movieObject': <Movie id:5016504[http] title:_\"Preacher\" (2016)_>,\n",
       "  'rank': 7},\n",
       " u'Pretty Little Liars': {'id': '1578873',\n",
       "  'movieObject': <Movie id:1578873[http] title:_\"Pretty Little Liars\" (2010)_>,\n",
       "  'rank': 5},\n",
       " u'Prison Break': {'id': '0455275',\n",
       "  'movieObject': <Movie id:0455275[http] title:_\"Prison Break\" (2005)_>,\n",
       "  'rank': 35},\n",
       " u'Quantico': {'id': '4428122',\n",
       "  'movieObject': <Movie id:4428122[http] title:_\"Quantico\" (2015)_>,\n",
       "  'rank': 92},\n",
       " u'Queen of the South': {'id': '1064899',\n",
       "  'movieObject': <Movie id:1064899[http] title:_\"Queen of the South\" (2016)_>,\n",
       "  'rank': 80},\n",
       " u'Reign': {'id': '2710394',\n",
       "  'movieObject': <Movie id:2710394[http] title:_\"Reign\" (2013)_>,\n",
       "  'rank': 54},\n",
       " u'Rick and Morty': {'id': '2861424',\n",
       "  'movieObject': <Movie id:2861424[http] title:_\"Rick and Morty\" (2013)_>,\n",
       "  'rank': 39},\n",
       " u'Riverdale': {'id': '5420376',\n",
       "  'movieObject': <Movie id:5420376[http] title:_\"Riverdale\" (2017)_>,\n",
       "  'rank': 17},\n",
       " u'Riviera': {'id': '5936448',\n",
       "  'movieObject': <Movie id:5936448[http] title:_\"Riviera\" (2017)_>,\n",
       "  'rank': 20},\n",
       " u'Sense8': {'id': '2431438',\n",
       "  'movieObject': <Movie id:2431438[http] title:_\"Sense8\" (2015)_>,\n",
       "  'rank': 56},\n",
       " u'Shadowhunters': {'id': '4145054',\n",
       "  'movieObject': <Movie id:4145054[http] title:_\"Shadowhunters\" (2016)_>,\n",
       "  'rank': 67},\n",
       " u'Shameless': {'id': '1586680',\n",
       "  'movieObject': <Movie id:1586680[http] title:_\"Shameless\" (2011)_>,\n",
       "  'rank': 9},\n",
       " u'Sherlock': {'id': '1475582',\n",
       "  'movieObject': <Movie id:1475582[http] title:_\"Sherlock\" (2010)_>,\n",
       "  'rank': 57},\n",
       " u'Shooter': {'id': '4181172',\n",
       "  'movieObject': <Movie id:4181172[http] title:_\"Shooter\" (2016)_>,\n",
       "  'rank': 86},\n",
       " u'Silicon Valley': {'id': '2575988',\n",
       "  'movieObject': <Movie id:2575988[http] title:_\"Silicon Valley\" (2014)_>,\n",
       "  'rank': 21},\n",
       " u'Sons of Anarchy': {'id': '1124373',\n",
       "  'movieObject': <Movie id:1124373[http] title:_\"Sons of Anarchy\" (2008)_>,\n",
       "  'rank': 61},\n",
       " u'Stranger Things': {'id': '4574334',\n",
       "  'movieObject': <Movie id:4574334[http] title:_\"Stranger Things\" (2016)_>,\n",
       "  'rank': 41},\n",
       " u'Suits': {'id': '1632701',\n",
       "  'movieObject': <Movie id:1632701[http] title:_\"Suits\" (2011)_>,\n",
       "  'rank': 33},\n",
       " u'Supergirl': {'id': '4016454',\n",
       "  'movieObject': <Movie id:4016454[http] title:_\"Supergirl\" (2015)_>,\n",
       "  'rank': 44},\n",
       " u'Supernatural': {'id': '0460681',\n",
       "  'movieObject': <Movie id:0460681[http] title:_\"Supernatural\" (2005)_>,\n",
       "  'rank': 27},\n",
       " u'Teen Wolf': {'id': '1567432',\n",
       "  'movieObject': <Movie id:1567432[http] title:_\"Teen Wolf\" (2011)_>,\n",
       "  'rank': 82},\n",
       " u\"That '70s Show\": {'id': '0165598',\n",
       "  'movieObject': <Movie id:0165598[http] title:_\"That '70s Show\" (1998)_>,\n",
       "  'rank': 78},\n",
       " u'The 100': {'id': '2661044',\n",
       "  'movieObject': <Movie id:2661044[http] title:_\"The 100\" (2014)_>,\n",
       "  'rank': 23},\n",
       " u'The Americans': {'id': '2149175',\n",
       "  'movieObject': <Movie id:2149175[http] title:_\"The Americans\" (2013)_>,\n",
       "  'rank': 100},\n",
       " u'The Big Bang Theory': {'id': '0898266',\n",
       "  'movieObject': <Movie id:0898266[http] title:_\"The Big Bang Theory\" (2007)_>,\n",
       "  'rank': 14},\n",
       " u'The Blacklist': {'id': '2741602',\n",
       "  'movieObject': <Movie id:2741602[http] title:_\"The Blacklist\" (2013)_>,\n",
       "  'rank': 52},\n",
       " u'The Flash': {'id': '3107288',\n",
       "  'movieObject': <Movie id:3107288[http] title:_\"The Flash\" (2014)_>,\n",
       "  'rank': 16},\n",
       " u\"The Handmaid's Tale\": {'id': '5834204',\n",
       "  'movieObject': <Movie id:5834204[http] title:_\"The Handmaid's Tale\" (2017)_>,\n",
       "  'rank': 6},\n",
       " u'The Last Kingdom': {'id': '4179452',\n",
       "  'movieObject': <Movie id:4179452[http] title:_\"The Last Kingdom\" (2015)_>,\n",
       "  'rank': 91},\n",
       " u'The Leftovers': {'id': '2699128',\n",
       "  'movieObject': <Movie id:2699128[http] title:_\"The Leftovers\" (2014)_>,\n",
       "  'rank': 62},\n",
       " u'The Mist': {'id': '5639976',\n",
       "  'movieObject': <Movie id:5639976[http] title:_\"The Mist\" (2017)_>,\n",
       "  'rank': 13},\n",
       " u'The Night Shift': {'id': '2477230',\n",
       "  'movieObject': <Movie id:2477230[http] title:_\"The Night Shift\" (2014)_>,\n",
       "  'rank': 83},\n",
       " u'The Office': {'id': '0386676',\n",
       "  'movieObject': <Movie id:0386676[http] title:_\"The Office\" (2005)_>,\n",
       "  'rank': 40},\n",
       " u'The Originals': {'id': '2632424',\n",
       "  'movieObject': <Movie id:2632424[http] title:_\"The Originals\" (2013)_>,\n",
       "  'rank': 22},\n",
       " u'The Ranch': {'id': '4998212',\n",
       "  'movieObject': <Movie id:4998212[http] title:_\"The Ranch\" (2016)_>,\n",
       "  'rank': 28},\n",
       " u'The Simpsons': {'id': '0096697',\n",
       "  'movieObject': <Movie id:0096697[http] title:_\"The Simpsons\" (1989)_>,\n",
       "  'rank': 69},\n",
       " u'The Vampire Diaries': {'id': '1405406',\n",
       "  'movieObject': <Movie id:1405406[http] title:_\"The Vampire Diaries\" (2009)_>,\n",
       "  'rank': 47},\n",
       " u'The Walking Dead': {'id': '1520211',\n",
       "  'movieObject': <Movie id:1520211[http] title:_\"The Walking Dead\" (2010)_>,\n",
       "  'rank': 24},\n",
       " u'This Is Us': {'id': '5555260',\n",
       "  'movieObject': <Movie id:5555260[http] title:_\"This Is Us\" (2016)_>,\n",
       "  'rank': 99},\n",
       " u'True Detective': {'id': '2356777',\n",
       "  'movieObject': <Movie id:2356777[http] title:_\"True Detective\" (2014)_>,\n",
       "  'rank': 94},\n",
       " u'Twin Peaks (1990)': {'id': '0098936',\n",
       "  'movieObject': <Movie id:0098936[http] title:_\"Twin Peaks\" (1990)_>,\n",
       "  'rank': 36},\n",
       " u'Twin Peaks (2017)': {'id': '4093826',\n",
       "  'movieObject': <Movie id:4093826[http] title:_\"Twin Peaks\" (2017)_>,\n",
       "  'rank': 10},\n",
       " u'Vikings': {'id': '2306299',\n",
       "  'movieObject': <Movie id:2306299[http] title:_\"Vikings\" (2013)_>,\n",
       "  'rank': 30},\n",
       " u'Wentworth': {'id': '2433738',\n",
       "  'movieObject': <Movie id:2433738[http] title:_\"Wentworth\" (2013)_>,\n",
       "  'rank': 63},\n",
       " u'Westworld': {'id': '0475784',\n",
       "  'movieObject': <Movie id:0475784[http] title:_\"Westworld\" (2016)_>,\n",
       "  'rank': 43},\n",
       " u'Younger': {'id': '3288518',\n",
       "  'movieObject': <Movie id:3288518[http] title:_\"Younger\" (2015)_>,\n",
       "  'rank': 65},\n",
       " u'Zoo': {'id': '3250026',\n",
       "  'movieObject': <Movie id:3250026[http] title:_\"Zoo\" (2015)_>,\n",
       "  'rank': 89},\n",
       " u'iZombie': {'id': '3501584',\n",
       "  'movieObject': <Movie id:3501584[http] title:_\"iZombie\" (2015)_>,\n",
       "  'rank': 38}}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#@toggleInputDefault\n",
    "#@toggleOutputDefault\n",
    "series_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## noch weitere Infos über das bereits gespeicherte movieObject von IMDb einholen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  3%|▎         | 3/100 [00:21<13:05,  8.09s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(<Movie id:5555260[http] title:_\"This Is Us\" (2016)_>, 'hat kein Rating?, update vote details!')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 20%|██        | 20/100 [02:50<10:05,  7.57s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(<Movie id:5770786[http] title:_\"GLOW\" (2017)_>, 'hat kein Rating?, update vote details!')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 47%|████▋     | 47/100 [06:24<05:45,  6.52s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(<Movie id:3920596[http] title:_\"Big Little Lies\" (2017)_>, 'hat kein Rating?, update vote details!')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 52%|█████▏    | 52/100 [07:01<05:22,  6.72s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(<Movie id:5673782[http] title:_\"Genius\" (2017)_>, 'hat kein Rating?, update vote details!')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 57%|█████▋    | 57/100 [08:01<08:08, 11.37s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(<Movie id:4093826[http] title:_\"Twin Peaks\" (2017)_>, 'hat kein Rating?, update vote details!')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 63%|██████▎   | 63/100 [08:41<03:34,  5.80s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(<Movie id:4898282[http] title:_\"Blood Drive\" (2017)_>, 'hat kein Rating?, update vote details!')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 86%|████████▌ | 86/100 [11:31<01:35,  6.83s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(<Movie id:4181172[http] title:_\"Shooter\" (2016)_>, 'hat kein Rating?, update vote details!')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      " 87%|████████▋ | 87/100 [11:34<01:13,  5.69s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(<Movie id:0475784[http] title:_\"Westworld\" (2016)_>, 'hat kein Rating?, update vote details!')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 91%|█████████ | 91/100 [11:56<00:46,  5.12s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(<Movie id:4154858[http] title:_\"Inhumans\" (2017)_>, 'hat kein Rating?, update vote details!')\n",
      "(<Movie id:4154858[http] title:_\"Inhumans\" (2017)_>, 'keine Hoffnung...')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [13:03<00:00,  7.08s/it]\n"
     ]
    }
   ],
   "source": [
    "#@toggleInputDefault\n",
    "#@toggleOutputDefault\n",
    "for series_name,series in tqdm(list(series_data.iteritems())):\n",
    "    \n",
    "    if not 'movieObject' in series:\n",
    "        series['movieObject'] = imdb.get_movie(series['id'])\n",
    "    \n",
    "    if not 'episodes_total' in series:\n",
    "        #mehr Informationen einholen\n",
    "        m = series['movieObject']\n",
    "        #versuche Rating zu finden\n",
    "        try:\n",
    "            series['rating_series'] = m['rating']\n",
    "        except KeyError:\n",
    "            print(m, 'hat kein Rating?, update vote details!')\n",
    "            imdb.update(m, 'vote details')\n",
    "            try:\n",
    "                series['rating_series'] = m['rating']\n",
    "            except KeyError:\n",
    "                print(m, 'keine Hoffnung...')\n",
    "                series['rating_series'] = 0.5\n",
    "        \n",
    "        imdb.update(m, 'episodes')\n",
    "        #speicher die Staffelanzahl, falls vorhanden\n",
    "        try:\n",
    "            series['seasons'] = m['number of seasons']\n",
    "        except KeyError:\n",
    "            series['seasons'] = 0\n",
    "        seasons_episodes_structure = {}\n",
    "        episodes_total_counter = 0\n",
    "        for season in m['episodes']:\n",
    "            episodes_season_counter = 0\n",
    "            for j in m['episodes'][season]:\n",
    "                episodes_season_counter += 1\n",
    "            #print counter, \"episoden in Staffel \",season\n",
    "            #speicher Episodenanzahl dieser Staffel\n",
    "            seasons_episodes_structure[season] = episodes_season_counter\n",
    "            episodes_total_counter += episodes_season_counter\n",
    "        #speicher die Episodenanzahl der ganzen Serie\n",
    "        series['episodes_total'] = episodes_total_counter #evtl. besser m['number of episodes']\n",
    "        series['seasons_episodes_structure'] = seasons_episodes_structure\n",
    "        \n",
    "        \n",
    "#jetzt Aufbau ist = {'series_name': series{'id', 'rating_series', 'episodes_total', 'seasons', \n",
    "#'seasons_episodes_structure': {staffelnummer: episodenanzahl, staffelX-mal}}}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Starting with bokeh, plotting and stuff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"65c9279d-aa34-4790-9ca7-353b5806005e\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(global) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "    window._bokeh_onload_callbacks = [];\n",
       "    window._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "\n",
       "  \n",
       "  if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    window._bokeh_timeout = Date.now() + 5000;\n",
       "    window._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    if (window.Bokeh !== undefined) {\n",
       "      var el = document.getElementById(\"65c9279d-aa34-4790-9ca7-353b5806005e\");\n",
       "      el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "    } else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete window._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(js_urls, callback) {\n",
       "    window._bokeh_onload_callbacks.push(callback);\n",
       "    if (window._bokeh_is_loading > 0) {\n",
       "      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    window._bokeh_is_loading = js_urls.length;\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var s = document.createElement('script');\n",
       "      s.src = url;\n",
       "      s.async = false;\n",
       "      s.onreadystatechange = s.onload = function() {\n",
       "        window._bokeh_is_loading--;\n",
       "        if (window._bokeh_is_loading === 0) {\n",
       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"65c9279d-aa34-4790-9ca7-353b5806005e\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '65c9279d-aa34-4790-9ca7-353b5806005e' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "      document.getElementById(\"65c9279d-aa34-4790-9ca7-353b5806005e\").textContent = \"BokehJS is loading...\";\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i](window.Bokeh);\n",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!window._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      window._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"65c9279d-aa34-4790-9ca7-353b5806005e\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (window._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(this));"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E:\\Programme\\Anaconda3\\envs\\python2\\lib\\site-packages\\bokeh\\util\\deprecation.py:34: BokehDeprecationWarning: \n",
      "The bokeh.charts API has moved to a separate 'bkcharts' package.\n",
      "\n",
      "This compatibility shim will remain until Bokeh 1.0 is released.\n",
      "After that, if you want to use this API you will have to install\n",
      "the bkcharts package explicitly.\n",
      "\n",
      "  warn(message)\n"
     ]
    }
   ],
   "source": [
    "#@toggleInputDefault\n",
    "#@toggleOutputDefault\n",
    "from bokeh.plotting import figure, output_file, show, ColumnDataSource\n",
    "from bokeh.io import output_notebook\n",
    "output_notebook() #damit figure im notebokk angezeigt wird\n",
    "from bokeh.models import CustomJS, HoverTool, LinearColorMapper, ColorBar, Renderer, Label, LabelSet, FixedTicker, Range1d, Span, BoxAnnotation\n",
    "from bokeh.models.glyphs import HBar\n",
    "from bokeh.charts import Bar\n",
    "from bokeh.layouts import layout\n",
    "from bokeh.palettes import viridis, inferno\n",
    "from bokeh.models.widgets import Toggle\n",
    "\n",
    "import ipywidgets as widgets\n",
    "from IPython.display import display"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Methode zum Übergeben einer einzelnen Serie und der Erfassung ihrer Episoden (usw)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "definiert\n"
     ]
    }
   ],
   "source": [
    "#@toggleInputDefault\n",
    "def get_data_serie_plot(iid):\n",
    "    print 'Get IMDbs Episodes Information for Serie',iid\n",
    "    plot_serie = {}\n",
    "    #finde die Serie und ihre bisherigen Daten in dem Serien-Dict\n",
    "    for name, serie in list(series_data.iteritems()):\n",
    "        if serie['id'] == iid:\n",
    "            plot_serie[name] = serie\n",
    "            break\n",
    "    #füge der Serie die Episoden-Daten hinzu\n",
    "    for name, serie in list(plot_serie.iteritems()):\n",
    "        serie['episodes'] = {}\n",
    "        m = serie['movieObject']\n",
    "        average_episode_rating = 0\n",
    "        rated_episodes = 0\n",
    "        for season in tqdm(m['episodes']):\n",
    "            serie['episodes'][season] = {}\n",
    "            for episode in m['episodes'][season]:\n",
    "                serie['episodes'][season][episode] = {}\n",
    "                e = m['episodes'][season][episode]\n",
    "                imdb.update(e, 'main')\n",
    "                #MovieObject der Episode abspeichern\n",
    "                serie['episodes'][season][episode]['episode_object'] = e\n",
    "                imdb.update(e, 'vote details')\n",
    "                #Rating der Episode\n",
    "                try:\n",
    "                    serie['episodes'][season][episode]['episode_rating'] = e.get('rating')\n",
    "                except KeyError:\n",
    "                    serie['episodes'][season][episode]['episode_rating'] = None #0\n",
    "                #print season, episode, serie['episodes'][season][episode]['episode_rating']\n",
    "                #Fälle wo Episoden noch kein Rating (da sie nur angekündigt, aber noch nicht erschienen sind) abfangen\n",
    "                if serie['episodes'][season][episode]['episode_rating'] != None:\n",
    "                    rated_episodes += 1\n",
    "                    average_episode_rating += serie['episodes'][season][episode]['episode_rating']\n",
    "                #Titel der Episode\n",
    "                serie['episodes'][season][episode]['episode_title'] = e.get('title')\n",
    "        #Durchschnitts-Rating aller gerateden Episoden\n",
    "        if rated_episodes != 0:\n",
    "            serie['average_episode_rating'] = average_episode_rating/rated_episodes\n",
    "        else:\n",
    "            serie['average_episode_rating'] = 0.5\n",
    "        #Differenz zwischen des Serien- und des Episodendurschnittsratings\n",
    "        serie['difference_average_episode_to_serie_rating'] = round(serie['average_episode_rating']-serie['rating_series'], 2)\n",
    "        #Anzahl der gerateden Episoden\n",
    "        serie['rated_episodes'] = rated_episodes\n",
    "        \n",
    "        #füge die Daten auch gleich in das große Serien Dict\n",
    "        for na, se in list(series_data.iteritems()):\n",
    "            if se['id'] == iid:\n",
    "                se['episodes'] = serie['episodes'] \n",
    "                \n",
    "    #gib das Dict, das nur die gewünschte Serien mit ihren Daten erhält zurück\n",
    "    return plot_serie\n",
    "print 'definiert'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Methode für Serien-Episoden-Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "definiert\n"
     ]
    }
   ],
   "source": [
    "#@toggleInputDefault\n",
    "#Methode für Serien-Episode-Plot\n",
    "def serie_episodes_figure(requestedSerie_id):\n",
    "    \n",
    "    #gewünschte Serie erhalten\n",
    "    serie_detailed = get_data_serie_plot(requestedSerie_id)\n",
    "    \n",
    "    #Struktur der Daten für Chart definieren\n",
    "    source = ColumnDataSource(data=dict(\n",
    "        episodes_ratings = [],\n",
    "        episodes_titles = [],\n",
    "        episodes_numbers = [],\n",
    "        episodes_seasonic = [],\n",
    "        season = [],\n",
    "        season_episode_numeration = []\n",
    "    ))\n",
    "    \n",
    "    #passende/benötigte Daten aus Serien-Dict an Source für Chart übergeben\n",
    "    for name, serie in list(serie_detailed.iteritems()):\n",
    "        average_episode_rating = 0\n",
    "        episode_counter = 0\n",
    "        min_rating = 10\n",
    "        max_rating = 0\n",
    "        serie_title = name\n",
    "        serie_rating = serie['rating_series']\n",
    "        serie_structure = serie['seasons_episodes_structure']\n",
    "        season_tracker = 0\n",
    "        episodes_in_seasonic = []\n",
    "        in_season_episode_numeration = []\n",
    "        for season in serie['episodes']:\n",
    "            season_tracker = season\n",
    "            for episodes in serie['episodes'][season]:\n",
    "                ep_rat = serie['episodes'][season][episodes]['episode_rating']\n",
    "                source.data['episodes_ratings'].append(ep_rat)\n",
    "                #SEpisoden ohne Rating keinen Einfluss auf min und max für Layout natürlich\n",
    "                if ep_rat != None:\n",
    "                    if ep_rat < min_rating:\n",
    "                        min_rating = ep_rat\n",
    "                    if ep_rat > max_rating:\n",
    "                        max_rating = ep_rat\n",
    "                source.data['episodes_titles'].append(serie['episodes'][season][episodes]['episode_title'])\n",
    "                episode_counter +=1\n",
    "                source.data['episodes_numbers'].append(episode_counter)\n",
    "                source.data['episodes_seasonic'].append(episodes)\n",
    "                episodes_in_seasonic.append(str(episodes))\n",
    "                source.data['season'].append(season_tracker)\n",
    "                source.data['season_episode_numeration'].append(str(season)+'.'+str(episodes))\n",
    "                in_season_episode_numeration.append(str(season)+'.'+str(episodes))\n",
    "        tot_episodes = serie['episodes_total']       \n",
    "        average_episode_rating = round(serie['average_episode_rating'], 2)\n",
    "\n",
    "    #definieren der Ranges des Plots mit Grenzen, damit man nicht zuweit oder zunah zoomt und scrollt\n",
    "    if episode_counter <= 100:\n",
    "        x_start = episode_counter\n",
    "    else:\n",
    "        x_start = 100\n",
    "    x_range = Range1d(0, x_start, bounds = (0, episode_counter+2), min_interval = 10, max_interval = episode_counter+2)\n",
    "    y_range = Range1d(min_rating-1, max_rating+1, bounds = (0, 11), min_interval = 1, max_interval = 10)\n",
    "\n",
    "    p = figure(x_range = x_range, y_range = y_range, \n",
    "               tools = ['hover', 'tap', 'xwheel_pan', 'xwheel_zoom', 'wheel_zoom', 'pan', 'resize', 'reset'], \n",
    "               active_scroll = 'xwheel_zoom', title = serie_title, x_axis_location = 'below', plot_width = 900)\n",
    "    p.title.text_font_size = '18pt'\n",
    "    hover = p.select_one(HoverTool)\n",
    "\n",
    "    #Definieren der Tooltips beim Hovern\n",
    "    hover.tooltips = [('Episode Title', '@episodes_titles'), ('Episode Rating', '@episodes_ratings{1.1}'), \n",
    "                      ('Season.Episode', '@season'+'.'+'@episodes_seasonic')]\n",
    "\n",
    "    #Line- und Kreis-Chart aus den Daten generieren\n",
    "    p.line('episodes_numbers', 'episodes_ratings', line_width = 2, source = source)\n",
    "    p.circle('episodes_numbers', 'episodes_ratings', size = 7, source = source)\n",
    "\n",
    "    #Grids anpassen\n",
    "    p.ygrid.band_fill_alpha = 0.1\n",
    "    p.ygrid.band_fill_color = 'green'\n",
    "    p.xgrid.grid_line_color = None\n",
    "    p.ygrid.grid_line_color = None\n",
    "    p.ygrid.ticker = FixedTicker(ticks = range(0, 11, 1))\n",
    "\n",
    "    #Achsen benennen und deren Nummerierung anpassen\n",
    "    p.xaxis.axis_label = 'Episodes'\n",
    "    p.yaxis.axis_label = 'IMDb Rating'\n",
    "    p.yaxis.ticker = FixedTicker(ticks = range(0, 11, 1))\n",
    "    p.yaxis.major_tick_line_color = None\n",
    "    p.xaxis.axis_line_color = None\n",
    "    p.yaxis.axis_line_color = None\n",
    "\n",
    "    #unötige/störende Outline weg\n",
    "    p.outline_line_color = None\n",
    "\n",
    "    #Annotations für die Staffel\n",
    "    helper = 1\n",
    "    for season, episodes in list(serie_structure.iteritems()):\n",
    "        left = helper\n",
    "        right = left + episodes -1\n",
    "        helper = right + 1\n",
    "        box = BoxAnnotation(left = left, right = right, fill_alpha = 0.1, fill_color = 'red', line_color = None)\n",
    "        p.add_layout(box)\n",
    "        label = Label(x = left+((right-left)/2), y = min_rating-0.3, text = 'Season '+str(season), \n",
    "                  text_baseline = 'hanging', text_align = 'center')\n",
    "        p.add_layout(label)\n",
    "\n",
    "    #Annotations für Episode-Average-Rating- und Serien-Rating-Linie\n",
    "    ep_av_ra_line = Span(location = average_episode_rating, dimension = 'width', visible = False,\n",
    "                         line_color = 'green', line_dash = 'dashed', line_width = 2)\n",
    "    p.add_layout(ep_av_ra_line)\n",
    "\n",
    "    se_ra_line = Span(location = serie_rating, dimension = 'width', visible = False,\n",
    "                      line_color = 'red', line_dash='dashed', line_width = 2)\n",
    "    p.add_layout(se_ra_line)\n",
    "\n",
    "    #simple Toggle-Knöpfe zum Steuern der Anzeigen der Episode-Average-Rating- und der Serien-Rating-Linie\n",
    "    code = '''object.visible = toggle.active'''\n",
    "\n",
    "    callback1 = CustomJS.from_coffeescript(code = code, args = {})\n",
    "    toggle_ep_av_ra = Toggle(label = 'Average Episode Rating ('+str(average_episode_rating)+')', button_type = 'success', \n",
    "                             callback = callback1, active = False)\n",
    "    callback1.args = {'toggle': toggle_ep_av_ra, 'object': ep_av_ra_line}\n",
    "\n",
    "    callback2 = CustomJS.from_coffeescript(code = code, args = {})\n",
    "    toggle_se_ra = Toggle(label = ('Serie Rating ('+str(serie_rating)+')'), button_type = 'success', \n",
    "                          callback = callback2, active = False)\n",
    "    callback2.args = {'toggle': toggle_se_ra, 'object': se_ra_line}\n",
    "\n",
    "    print 'requested figure completed'\n",
    "    return layout([p], [toggle_ep_av_ra, toggle_se_ra])\n",
    "print 'definiert'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Methode für Vergleich-Charts der Rating-Differenzen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "definiert\n"
     ]
    }
   ],
   "source": [
    "#@toggleInputDefault\n",
    "#Methode für 2 Charts zum Vergleich der Rating-Differenzen\n",
    "def rating_difference_comparison_figure():\n",
    "    #color_mapper = LinearColorMapper(low = -10, high = 10, palette = viridis(4))\n",
    "    color_mapper_diff = LinearColorMapper(low = -10, high = 10, palette = ['red', 'green'])\n",
    "    #Struktur der Daten für Chart definieren\n",
    "    source = ColumnDataSource(data=dict(\n",
    "        rank = [],\n",
    "        rating = [],\n",
    "        seasons = [],\n",
    "        episodes = [],\n",
    "        title = [],\n",
    "        iid = [],\n",
    "        rating_diff = [],\n",
    "        episodes_rating = []\n",
    "    ))\n",
    "    bar_dict = {\n",
    "        'title' : [],\n",
    "        'ratings' : [],\n",
    "        'groups' : []\n",
    "    }\n",
    "    titles = []\n",
    "    #passende/benötigte Daten aus Serien-Dict an Source für Chart übergeben\n",
    "    #print 'Gathering Figure-Source-Data for Ranking-Chart'\n",
    "    for name, serie in list(series_data.iteritems()):\n",
    "        if 'difference_average_episode_to_serie_rating' in serie:\n",
    "\n",
    "            source.data['rank'].append(serie['rank'])\n",
    "            source.data['rating'].append(serie['rating_series'])\n",
    "            source.data['seasons'].append(serie['seasons'])\n",
    "            source.data['episodes'].append(serie['episodes_total'])\n",
    "            source.data['title'].append(name)\n",
    "            source.data['iid'].append(serie['id'])\n",
    "            source.data['rating_diff'].append(serie['difference_average_episode_to_serie_rating'])\n",
    "            source.data['episodes_rating'].append(serie['average_episode_rating'])\n",
    "            titles.append(name)\n",
    "            bar_dict['title'].append(name)\n",
    "            bar_dict['title'].append(name)\n",
    "            bar_dict['title'].append(name)\n",
    "            bar_dict['ratings'].append(serie['rating_series'])\n",
    "            bar_dict['ratings'].append(serie['average_episode_rating'])\n",
    "            bar_dict['ratings'].append(serie['difference_average_episode_to_serie_rating'])\n",
    "            bar_dict['groups'].append('Serie Rating')\n",
    "            bar_dict['groups'].append('Episodes Rating')\n",
    "            bar_dict['groups'].append('Rating Difference (Episodes-Serie)')\n",
    "\n",
    "    #\n",
    "    ###Bar-Chart mit Balken für Serien-, Episodes-Rating und Differnez\n",
    "    bar_chart = Bar(bar_dict, values = 'ratings', label = 'title', group = 'groups', title = 'Rating Difference (Bar-Chart)',\n",
    "                    xlabel = 'Serie Title', ylabel = 'Rating',  tools = ['hover', 'xwheel_pan', 'reset'], \n",
    "                    active_scroll = 'xwheel_pan', plot_width = 900)\n",
    "    hover_bar = bar_chart.select_one(HoverTool)\n",
    "    hover_bar.tooltips = [('Title', '@title'), ('Rating', '@height{1.11}'), ('What', '@groups')]\n",
    "\n",
    "    #kucken ob sinnvoll bei bar-Chart\n",
    "    #Labels definieren und hinzufügen\n",
    "    labels = LabelSet(x = 'title', y = 0, text = 'title', y_offset = -25,\n",
    "                      text_font_size = \"16pt\", text_color = 'grey', text_baseline = 'hanging',\n",
    "                      source = source, text_align = 'center')\n",
    "    bar_chart.add_layout(labels)\n",
    "    bar_chart.xaxis.major_label_text_font_size = '0pt' #da Serien-Titel im Chart, können die ander Achse weg\n",
    "    \n",
    "    \n",
    "    #unötige/störende Outline weg\n",
    "    bar_chart.outline_line_color = None\n",
    "    \n",
    "    #Achsen anpassen\n",
    "    bar_chart.xaxis.axis_line_color = None\n",
    "    bar_chart.yaxis.axis_line_color = None\n",
    "    bar_chart.xaxis.major_tick_line_color = None\n",
    "\n",
    "    #\n",
    "    ###Figure mit Linie und Kreis für Rating-Differenz\n",
    "    p = figure(y_range = titles, x_range = (-3,3), tools = ['hover', 'tap', 'pan', 'ywheel_pan', 'xwheel_zoom', 'reset'],\n",
    "               active_scroll = 'ywheel_pan', \n",
    "               title = 'Difference between episodes-average- and series-rating', x_axis_location = 'above', plot_width = 900)\n",
    "    p.title.text_font_size = '18pt'\n",
    "\n",
    "    hover = p.select_one(HoverTool)\n",
    "\n",
    "\n",
    "    p.segment(0, 'title', 'rating_diff', 'title', line_width = 3, \n",
    "              line_color = {'field': 'rating_diff', 'transform': color_mapper_diff},\n",
    "              source = source)\n",
    "    p.circle('rating_diff', 'title', size = 25, fill_color = {'field': 'rating_diff', 'transform': color_mapper_diff}, \n",
    "             line_color = {'field': 'rating_diff', 'transform': color_mapper_diff}, line_width=3, source = source)\n",
    "\n",
    "    #Definieren der Tooltips beim Hovern\n",
    "    hover.tooltips = [('Title', '@title'), ('Serie Rating', '@rating{1.11}'),\n",
    "                      ('Episodes Rating', '@episodes_rating{1.11}'), ('Rating Difference', '@rating_diff{1.11}')]\n",
    "\n",
    "\n",
    "    #Labels bei Differenz-only-Chart für Serien Titel\n",
    "    labels = LabelSet(x = 0, y = 'title', text = 'title', text_align = 'center', text_color = 'black',\n",
    "                      level = 'glyph', y_offset = 20, source = source)\n",
    "    p.add_layout(labels)\n",
    "    p.yaxis.major_label_text_font_size = '0pt' #da Serien-Titel im Chart, können die ander Achse weg\n",
    "\n",
    "    #Grids anpassen\n",
    "    p.xgrid.band_fill_alpha = 0.2\n",
    "    p.xgrid.band_fill_color = 'black'\n",
    "    p.ygrid.grid_line_color = None\n",
    "    p.xgrid.grid_line_color = 'grey'\n",
    "    p.xgrid.ticker = FixedTicker(ticks = range(-10, 11, 10))\n",
    "\n",
    "    #Achsen benennen und deren Nummerierung anpassen\n",
    "    p.xaxis.axis_label = 'Rating Difference (Episodes - Serie)'\n",
    "    p.yaxis.axis_label = 'Serie Title'\n",
    "    p.yaxis.major_tick_line_color = None\n",
    "    p.xaxis.axis_line_color = None\n",
    "    p.yaxis.axis_line_color = None\n",
    "\n",
    "    #unötige/störende Outline weg\n",
    "    p.outline_line_color = None\n",
    "\n",
    "    #Chart anzeigen\n",
    "    #show(p)\n",
    "    #show(bar_chart)\n",
    "    l = layout([[p], [bar_chart]])\n",
    "    #show(l)\n",
    "    print 'requested figure completed'\n",
    "    return l\n",
    "print 'definiert'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Serien-Rank-Chart und UI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"895568a4-914e-4351-a81c-fe40d78e0c8d\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "       \"</ul>\\n\"+\n",
       "       \"<code>\\n\"+\n",
       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
       "  \n",
       "    function display_loaded() {\n",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"895568a4-914e-4351-a81c-fe40d78e0c8d\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
       "          window._bokeh_is_loading--;\n",
       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"895568a4-914e-4351-a81c-fe40d78e0c8d\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '895568a4-914e-4351-a81c-fe40d78e0c8d' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = 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      "100%|██████████| 8/8 [00:00<00:00, 8000.58it/s]\n"
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      "100%|██████████| 12/12 [00:00<00:00, 2400.06it/s]\n"
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       "            var render_items = [{\"docid\":\"965247e0-e40b-452a-b811-84a2c4ad1465\",\"elementid\":\"0af20490-72ed-455f-938e-77e3ab173eab\",\"modelid\":\"b31a219e-510e-4655-bd06-1a88ecb77c02\"}];\n",
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       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
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       "      function(Bokeh) {\n",
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       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
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       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
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       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
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   ],
   "source": [
    "#@toggleInputDefault\n",
    "#@toggleOutput\n",
    "plot = figure(x_range = (0, 10), y_range = (10, 0),tools = ['hover', 'tap', 'ywheel_pan', 'ypan'], active_scroll = 'ywheel_pan', \n",
    "           title = 'Popular Series on IMDb', x_axis_location = 'above', plot_width = 900)\n",
    "plot.title.text_font_size = '18pt'\n",
    "color_mapper = LinearColorMapper(low = 0.0, high = 10.0, palette = viridis(256))\n",
    "hover = plot.select_one(HoverTool)\n",
    "\n",
    "#Struktur der Daten für Chart definieren\n",
    "source = ColumnDataSource(data=dict(\n",
    "    rank = [],\n",
    "    rating = [],\n",
    "    seasons = [],\n",
    "    episodes = [],\n",
    "    title = [],\n",
    "))\n",
    "#passende/benötigte Daten aus Serien-Dict an Source für Chart übergeben\n",
    "for name, serie in list(series_data.iteritems()):\n",
    "    source.data['rank'].append(serie['rank'])\n",
    "    source.data['rating'].append(serie['rating_series'])\n",
    "    source.data['seasons'].append(serie['seasons'])\n",
    "    source.data['episodes'].append(serie['episodes_total'])\n",
    "    source.data['title'].append(name)\n",
    "\n",
    "#Horizontale-Balken-Chart aus den Daten generieren\n",
    "plot.hbar(y = 'rank', height = 0.9, left = 0, right = 'rating', fill_color = {'field': 'rating', 'transform': color_mapper}, \n",
    "       line_color = None, source = source)\n",
    "\n",
    "#Definieren der Tooltips beim Hovern\n",
    "hover.tooltips = [(\"Title\", \"@title\"), (\"Number of seasons\", \"@seasons\"), (\"Number of episodes\", \"@episodes\"),\n",
    "                  (\"Rating\", \"@rating{1.1}\")]\n",
    "\n",
    "#Defineren des Selektierenverhaltens\n",
    "#kann auch gleich in p.hbar() definiert werden\n",
    "#evtl. sinnlos und sollte weg?\n",
    "selected_bar = HBar(fill_alpha = 1)\n",
    "nonselected_bar = HBar(fill_alpha = 0)\n",
    "Renderer.selection_glyph = selected_bar\n",
    "Renderer.nonselection_glyph = nonselected_bar\n",
    "\n",
    "#Labels mit den Serien-Titeln definieren und hinzufügen\n",
    "labels = LabelSet(x = 0.1, y = 'rank', text = 'title',\n",
    "                  text_font_size = \"16pt\", text_color = 'black',\n",
    "                  source = source, text_align = 'left', text_baseline = 'middle')\n",
    "plot.add_layout(labels)\n",
    "\n",
    "#Grids anpassen\n",
    "plot.xgrid.band_fill_alpha = 0.1\n",
    "plot.xgrid.band_fill_color = 'green'\n",
    "plot.xgrid.grid_line_color = None\n",
    "plot.ygrid.grid_line_color = None\n",
    "plot.ygrid.ticker = FixedTicker(ticks = range(0, 11, 1))\n",
    "\n",
    "#Achsen benennen und deren Nummerierung anpassen\n",
    "plot.xaxis.axis_label = 'IMDb Rating'\n",
    "plot.yaxis.axis_label = 'IMDb Popularity Rank'\n",
    "plot.xaxis.ticker = FixedTicker(ticks = range(0, 11, 1))\n",
    "plot.yaxis.ticker = FixedTicker(ticks = range(1, 101, 1))\n",
    "plot.xaxis.major_tick_line_color = None\n",
    "plot.yaxis.major_tick_line_color = None\n",
    "plot.xaxis.axis_line_color = None\n",
    "plot.yaxis.axis_line_color = None\n",
    "\n",
    "#unötige/störende Outline weg\n",
    "plot.outline_line_color = None\n",
    "\n",
    "#ColorBar zur Erklärung der Balkenfarben hinzufügen\n",
    "color_bar = ColorBar(color_mapper = color_mapper, #ticker = ContinuousTicker(),\n",
    "                     label_standoff = 12, border_line_color = None, location = (0,0), orientation = 'horizontal')\n",
    "\n",
    "plot.add_layout(color_bar, 'below')\n",
    "\n",
    "#Chart zeigen\n",
    "show(plot)\n",
    "\n",
    "###\n",
    "#Widgets UI und Funktionen zur Generierung zusätzlicher Serie-/Episoden-Plots durch den Nutzer\n",
    "###\n",
    "\n",
    "def btn_clk_episodes(widget):\n",
    "    #print dropdownWidget.value\n",
    "    show(serie_episodes_figure(dropdownWidget.value))\n",
    "    #notebook Ausgabe aktualisieren\n",
    "    #push_notebook(handle = handle)\n",
    "\n",
    "def btn_clk_comparison(widget):\n",
    "    show(rating_difference_comparison_figure())\n",
    "\n",
    "#simplerer Serie-Dropdown-Liste aus Serien Dict erstellen\n",
    "dropdown = OrderedDict()\n",
    "first_value = 0\n",
    "#print 'Generating DropdownWidget (rankordered)'\n",
    "for name, serie in sorted(series_data.items(), key=lambda x: x[1]['rank']):\n",
    "    dropdown[str(serie['rank'])+' : '+name] = serie['id']\n",
    "    if first_value == 0:\n",
    "        first_value = serie['id']\n",
    "\n",
    "dropdownWidget = widgets.Dropdown(options = dropdown, value = first_value, description = 'Select Serie:', \n",
    "                                  layout = widgets.Layout(flex = '1 1 auto'), width = 'auto')\n",
    "\n",
    "buttonWidget = widgets.Button(description = 'update Serie/Episode Chart',\n",
    "                             layout = widgets.Layout(flex = '1 1 auto'), width = 'auto')\n",
    "buttonWidget.on_click(btn_clk_episodes)\n",
    "\n",
    "buttonWidgetDiffComp = widgets.Button(description = 'Comparison chart: Rating Difference (of updated series)',\n",
    "                             layout = widgets.Layout(flex = '1 1 auto'), width = 'auto')\n",
    "buttonWidgetDiffComp.on_click(btn_clk_comparison)\n",
    "\n",
    "#Widgets layouten\n",
    "box_layout = widgets.Layout(display = 'flex', flex_flow = 'row', align_items = 'stretch', width = '75%', \n",
    "                            justify_content = 'center')\n",
    "box = widgets.Box(children = [dropdownWidget, buttonWidget], layout = box_layout)\n",
    "\n",
    "box_layout2 = widgets.Layout(display='flex', flex_flow='column', align_items='stretch', width='75%')\n",
    "\n",
    "box2 = widgets.Box(children = [box, buttonWidgetDiffComp], layout = box_layout2)\n",
    "\n",
    "display(box2)\n",
    "#display(dropdownWidget, buttonWidget)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ende"
   ]
  }
 ],
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   "display_name": "Python 3",
   "language": "python",
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