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   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Twitter Data Collection & Analysis"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<hr>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import twitter\n",
      "%load_ext retina # Display images with retina "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Setup authentication..."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "consumer_key = \"CMHKXlMkCfpDieJBdFNQe0SDg\"\n",
      "consumer_secret = \"4r0BN4iMaiqkywcJf518FchlT9IEggnQY8jNJ1pr6jqx5lIXu5\"\n",
      "access_token = \"1358375179-yozRj6VttftJtBkYCds2Mt2F0ITlQfKt7svHVLt\"\n",
      "access_token_secret = \"dhwXZd9D3xbEKi3rMyqBQOL8JLVl4AehLI8cy21grZO6m\"\n",
      "\n",
      "auth = twitter.OAuth(access_token, access_token_secret,\n",
      "                     consumer_key, consumer_secret)\n",
      "\n",
      "twitter_api = twitter.Twitter(auth=auth)\n",
      "\n",
      "# Check to see if it worked\n",
      "if twitter_api:\n",
      "    print ('Success')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Success\n"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can use [Yahoo!GeoPlanet's](https://developer.yahoo.com/geo/geoplanet/) Where On Earth (WOE) ID system, which is an API designed to provide an unique identifier to any named place on earth. The WOE ID for earth is 1. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Figure how to use this API later\n",
      "ap_id = '7BjgHs42'"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 35
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "WORLD_WOE_ID = 1\n",
      "US_WOE_ID = 23424977"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 37
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "world_trends = twitter_api.trends.place(_id=WORLD_WOE_ID)\n",
      "us_trends = twitter_api.trends.place(_id=US_WOE_ID)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 50
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import json\n",
      "\n",
      "print json.dumps(world_trends, indent = 1)\n",
      "print\n",
      "print json.dumps(us_trends, indent = 1)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[\n",
        " {\n",
        "  \"created_at\": \"2014-10-03T11:15:10Z\", \n",
        "  \"trends\": [\n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%23w%C9%AFwBayipr%D1%94ssC%C3%B8m\", \n",
        "    \"query\": \"%23w%C9%AFwBayipr%D1%94ssC%C3%B8m\", \n",
        "    \"name\": \"#w\\u026fwBayipr\\u0454ssC\\u00f8m\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%23BaskentAmaGeceUlas\", \n",
        "    \"query\": \"%23BaskentAmaGeceUlas\", \n",
        "    \"name\": \"#BaskentAmaGeceUlas\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%23ElyarFoxAnnouncement\", \n",
        "    \"query\": \"%23ElyarFoxAnnouncement\", \n",
        "    \"name\": \"#ElyarFoxAnnouncement\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%23WorstReplyToILoveYou\", \n",
        "    \"query\": \"%23WorstReplyToILoveYou\", \n",
        "    \"name\": \"#WorstReplyToILoveYou\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%23Holler3rdWin\", \n",
        "    \"query\": \"%23Holler3rdWin\", \n",
        "    \"name\": \"#Holler3rdWin\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%22Chelsea+Hadi%22\", \n",
        "    \"query\": \"%22Chelsea+Hadi%22\", \n",
        "    \"name\": \"Chelsea Hadi\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%22Bulan+Spesialmu%22\", \n",
        "    \"query\": \"%22Bulan+Spesialmu%22\", \n",
        "    \"name\": \"Bulan Spesialmu\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%22Udah+Sampe+Rumah+Kak%22\", \n",
        "    \"query\": \"%22Udah+Sampe+Rumah+Kak%22\", \n",
        "    \"name\": \"Udah Sampe Rumah Kak\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%22M%C3%B3nica+Oriol%22\", \n",
        "    \"query\": \"%22M%C3%B3nica+Oriol%22\", \n",
        "    \"name\": \"M\\u00f3nica Oriol\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%22Iklan+Via+TTI+082288113332+Lebih%22\", \n",
        "    \"query\": \"%22Iklan+Via+TTI+082288113332+Lebih%22\", \n",
        "    \"name\": \"Iklan Via TTI 082288113332 Lebih\", \n",
        "    \"promoted_content\": null\n",
        "   }\n",
        "  ], \n",
        "  \"as_of\": \"2014-10-03T11:17:56Z\", \n",
        "  \"locations\": [\n",
        "   {\n",
        "    \"woeid\": 1, \n",
        "    \"name\": \"Worldwide\"\n",
        "   }\n",
        "  ]\n",
        " }\n",
        "]\n",
        "\n",
        "[\n",
        " {\n",
        "  \"created_at\": \"2014-10-03T11:10:29Z\", \n",
        "  \"trends\": [\n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%23MeanGirlsAppreciationDay\", \n",
        "    \"query\": \"%23MeanGirlsAppreciationDay\", \n",
        "    \"name\": \"#MeanGirlsAppreciationDay\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%23VoteVamps\", \n",
        "    \"query\": \"%23VoteVamps\", \n",
        "    \"name\": \"#VoteVamps\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%23BadThemeParks\", \n",
        "    \"query\": \"%23BadThemeParks\", \n",
        "    \"name\": \"#BadThemeParks\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%23ItsOctober3rd\", \n",
        "    \"query\": \"%23ItsOctober3rd\", \n",
        "    \"name\": \"#ItsOctober3rd\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%23WorstReplyToILoveYou\", \n",
        "    \"query\": \"%23WorstReplyToILoveYou\", \n",
        "    \"name\": \"#WorstReplyToILoveYou\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=%22Rich+Rod%22\", \n",
        "    \"query\": \"%22Rich+Rod%22\", \n",
        "    \"name\": \"Rich Rod\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=Oregon\", \n",
        "    \"query\": \"Oregon\", \n",
        "    \"name\": \"Oregon\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=Ebola\", \n",
        "    \"query\": \"Ebola\", \n",
        "    \"name\": \"Ebola\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=Annabelle\", \n",
        "    \"query\": \"Annabelle\", \n",
        "    \"name\": \"Annabelle\", \n",
        "    \"promoted_content\": null\n",
        "   }, \n",
        "   {\n",
        "    \"url\": \"http://twitter.com/search?q=Ducks\", \n",
        "    \"query\": \"Ducks\", \n",
        "    \"name\": \"Ducks\", \n",
        "    \"promoted_content\": null\n",
        "   }\n",
        "  ], \n",
        "  \"as_of\": \"2014-10-03T11:17:57Z\", \n",
        "  \"locations\": [\n",
        "   {\n",
        "    \"woeid\": 23424977, \n",
        "    \"name\": \"United States\"\n",
        "   }\n",
        "  ]\n",
        " }\n",
        "]\n"
       ]
      }
     ],
     "prompt_number": 51
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "To find out which trends are the same between the two regions, we use Python's `set` data structure. A set refers to the mathematical notion of a data structure that stores an unordered collection of unique items. These sets can be computed on with other sets of items using `setwise operations`. For example, a setwise intersection computes common items between sets, and a setwise union combines all the items from the sets (addition), and setwise difference acts as a subtraction operation."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "world_trends_set = set([trend['name']\n",
      "                        for trend in world_trends[0]['trends']])\n",
      "\n",
      "us_trends_set = set([trend['name']\n",
      "                     for trend in us_trends[0]['trends']])\n",
      "\n",
      "common_trends = world_trends_set.intersection(us_trends_set)\n",
      "\n",
      "print common_trends"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "set([u'#WorstReplyToILoveYou'])\n"
       ]
      }
     ],
     "prompt_number": 56
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Collect some tweets based on this trending hashtag"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "q = '#WorstReplyToILoveYou'\n",
      "count = 100\n",
      "\n",
      "results = twitter_api.search.tweets(q=q, count = count)\n",
      "statuses = results['statuses']\n",
      "for _ in range(5):\n",
      "    print 'Length of statuses', len(statuses)\n",
      "    try:\n",
      "        next_results = results['search_metadata']['next_results']\n",
      "    except KeyError, e: # No more results when next_results is null\n",
      "        break\n",
      "    # Create a dictionary from next_results, of the form:\n",
      "    kwargs = dict([kv.split('=')for kv in next_results[1:].split('&')])\n",
      "\n",
      "    results = twitter_api.search.tweets(**kwargs)\n",
      "    statuses += results['statuses']\n",
      "\n",
      "print json.dumps(statuses[0], indent=1)\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "ValueError",
       "evalue": "Expecting object: line 1 column 353224 (char 353223)",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
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        "\u001b[0;32m/Users/ryankelly/anaconda/lib/python2.7/site-packages/twitter/api.pyc\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m    264\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    265\u001b[0m         \u001b[0mreq\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0murllib_request\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRequest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muriBase\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbody\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 266\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_handle_response\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreq\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0muri\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0marg_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_timeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    267\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    268\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_handle_response\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreq\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0muri\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0marg_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_timeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;32m/Users/ryankelly/anaconda/lib/python2.7/site-packages/twitter/api.pyc\u001b[0m in \u001b[0;36m_handle_response\u001b[0;34m(self, req, uri, arg_data, _timeout)\u001b[0m\n\u001b[1;32m    288\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mwrap_response\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhandle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheaders\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    289\u001b[0m             \u001b[0;32melif\u001b[0m \u001b[0;34m\"json\"\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 290\u001b[0;31m                 \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjson\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'utf8'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    291\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mwrap_response\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mres\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhandle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheaders\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    292\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;32m/Users/ryankelly/anaconda/lib/python2.7/json/__init__.pyc\u001b[0m in \u001b[0;36mloads\u001b[0;34m(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)\u001b[0m\n\u001b[1;32m    336\u001b[0m             \u001b[0mparse_int\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mparse_float\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mNone\u001b[0m \u001b[0;32mand\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    337\u001b[0m             parse_constant is None and object_pairs_hook is None and not kw):\n\u001b[0;32m--> 338\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_default_decoder\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    339\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mcls\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    340\u001b[0m         \u001b[0mcls\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mJSONDecoder\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;32m/Users/ryankelly/anaconda/lib/python2.7/json/decoder.pyc\u001b[0m in \u001b[0;36mdecode\u001b[0;34m(self, s, _w)\u001b[0m\n\u001b[1;32m    364\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    365\u001b[0m         \"\"\"\n\u001b[0;32m--> 366\u001b[0;31m         \u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mraw_decode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0midx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0m_w\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    367\u001b[0m         \u001b[0mend\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_w\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    368\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mend\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;32m/Users/ryankelly/anaconda/lib/python2.7/json/decoder.pyc\u001b[0m in \u001b[0;36mraw_decode\u001b[0;34m(self, s, idx)\u001b[0m\n\u001b[1;32m    380\u001b[0m         \"\"\"\n\u001b[1;32m    381\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 382\u001b[0;31m             \u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscan_once\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0midx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    383\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mStopIteration\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    384\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"No JSON object could be decoded\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;31mValueError\u001b[0m: Expecting object: line 1 column 353224 (char 353223)"
       ]
      }
     ],
     "prompt_number": 69
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print kwargs"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "{u'q': u'%2523WorstReplyToILoveYou', u'count': u'100', u'include_entities': u'1', u'max_id': u'518000264926601215'}\n"
       ]
      }
     ],
     "prompt_number": 67
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import HTML\n",
      "\n",
      "\n",
      "def css_styling():\n",
      "    styles = open(\"/users/ryankelly/desktop/custom_notebook2.css\", \"r\").read()\n",
      "\n",
      "    return HTML(styles)\n",
      "css_styling()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<style>\n",
        "\n",
        "/*\n",
        "\n",
        "    Name:       Base16 Ashes Light\n",
        "    Author:     Jannik Siebert (https://github.com/janniks)\n",
        "\n",
        "    CodeMirror template adapted for IPython Notebook by Nikhil Sonnad (https://github.com/nsonnad/base16-ipython-notebook)\n",
        "    CodeMirror template by Jan T. Sott (https://github.com/idleberg/base16-chrome-devtools)\n",
        "    Original Base16 color scheme by Chris Kempson (https://github.com/chriskempson/base16)\n",
        "\n",
        "*/\n",
        "\n",
        " /*Uncomment to use a custom font*/\n",
        "/*div#notebook, div.CodeMirror, div.output_area pre, div.output_wrapper, div.prompt {\n",
        "  font-family: 'Computer Modern', \"Helvetica Neue\", Arial, monospace !important;\n",
        "}*/\n",
        "\n",
        "\n",
        "/* GLOBALS */\n",
        "body {background-color: #F3F4F5;}\n",
        "a {color: #AE95C7;}\n",
        "h1 {text-align: center;}\n",
        "/* INTRO PAGE */\n",
        ".toolbar_info, .list-container {color: #393F45;}\n",
        "\n",
        "/* NOTEBOOK */\n",
        "\n",
        "/* comment out this line to bring the toolbar back */\n",
        "/*div#maintoolbar, div#header {display: none !important;}*/\n",
        "\n",
        "div#notebook {border-top: none;}\n",
        "\n",
        "div.input_prompt {color: #C795AE;}\n",
        "div.output_prompt {color: #C79595;}\n",
        "div.input_area {\n",
        "  border-radius: 0px;\n",
        "  border: 1px solid #C7CCD1;\n",
        "}\n",
        "div.output_area pre {font-weight: normal; color: #565E65;}\n",
        "div.output_subarea {font-weight: normal; color: #565E65;}\n",
        "\n",
        ".rendered_html table, .rendered_html th, .rendered_html tr, .rendered_html td {\n",
        "  border: 1px  #747C84 solid;\n",
        "  color: #747C84;\n",
        "}\n",
        "div.output_html { font-family: 'Computer Modern', \"Helvetica Neue\", Arial, sans-serif; }\n",
        "table.dataframe tr {border: 1px #565E65;}\n",
        "\n",
        "div.cell.selected {border-radius: 0px;}\n",
        "div.cell.edit_mode {border-radius: 0px; border: thin solid #C79595;}\n",
        "div.text_cell_render, div.output_html {color: #565E65;}\n",
        "\n",
        "span.ansiblack {color: #393F45;}\n",
        "span.ansiblue {color: #95AEC7;}\n",
        "span.ansigray {color: #ADB3BA;}\n",
        "span.ansigreen {color: #95C7AE;}\n",
        "span.ansipurple {color: #C795AE;}\n",
        "span.ansired {color: #C7AE95;}\n",
        "span.ansiyellow {color: #AEC795;}\n",
        "\n",
        "div.output_stderr {background-color: #C7AE95;}\n",
        "div.output_stderr pre {color: #DFE2E5;}\n",
        "\n",
        ".cm-s-ipython.CodeMirror {background: #F3F4F5; color: #393F45;}\n",
        ".cm-s-ipython div.CodeMirror-selected {background: #DFE2E5 !important;}\n",
        ".cm-s-ipython .CodeMirror-gutters {background: #F3F4F5; border-right: 0px;}\n",
        ".cm-s-ipython .CodeMirror-linenumber {color: #ADB3BA;}\n",
        ".cm-s-ipython .CodeMirror-cursor {border-left: 1px solid #747C84 !important;}\n",
        "\n",
        ".cm-s-ipython span.cm-comment {color: #C79595;}\n",
        ".cm-s-ipython span.cm-atom {color: #C795AE;}\n",
        ".cm-s-ipython span.cm-number {color: #C795AE;}\n",
        "\n",
        ".cm-s-ipython span.cm-property, .cm-s-ipython span.cm-attribute {color: #95C7AE;}\n",
        ".cm-s-ipython span.cm-keyword {color: #C7AE95;}\n",
        ".cm-s-ipython span.cm-string {color: #AEC795;}\n",
        ".cm-s-ipython span.cm-operator {color: #C79595;}\n",
        ".cm-s-ipython span.cm-builtin {color: #C795AE;}\n",
        "\n",
        ".cm-s-ipython span.cm-variable {color: #95C7AE;}\n",
        ".cm-s-ipython span.cm-variable-2 {color: #AE95C7;}\n",
        ".cm-s-ipython span.cm-def {color: #C7C795;}\n",
        ".cm-s-ipython span.cm-error {background: #C7AE95; color: #747C84;}\n",
        ".cm-s-ipython span.cm-bracket {color: #565E65;}\n",
        ".cm-s-ipython span.cm-tag {color: #C7AE95;}\n",
        ".cm-s-ipython span.cm-link {color: #C795AE;}\n",
        "\n",
        ".cm-s-ipython .CodeMirror-matchingbracket { text-decoration: underline; color: #393F45 !important;}\n",
        "</style>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 60,
       "text": [
        "<IPython.core.display.HTML at 0x10b4ad2d0>"
       ]
      }
     ],
     "prompt_number": 60
    }
   ],
   "metadata": {}
  }
 ]
}