thorwhalen/good_parts.ipynb

## good_parts.ipynb
{
 "metadata": {
  "name": "Good parts 01"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "###################\n# SLURPING",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "workfolder = '/D/Dropbox/dev/py/semantics/data/'\nimport mechanize\nfrom bs4 import BeautifulSoup\nimport nltk",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "b = mechanize.Browser()   # Create a Browser\n\nb.set_handle_robots(False) # Disable loading robots.txt\n\n#b.set_proxies({\"http\" : \"intelligence.anonymizer.com\"})\n#b.add_proxy_password(\"venere\", \"Eefod7Oh\")\n\nb.addheaders = [('User-agent', 'Mozilla/5.0 (Windows NT 6.0; rv:14.0) Gecko/20100101 Firefox/14.0.1')]\n\nb.open('http://www.google.com/')\n\nb.select_form(nr=0)    # Choose a form",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "query = 'hotel rome'\nb['q'] = query\n\nfd = b.submit()\n\nsoup = BeautifulSoup(fd)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "#print soup.prettify()",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "############################\n# PARSING\nimport re",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "filename = workfolder + 'test.html'\nfp = open(filename,'wb')\nfp.write(fd.get_data())\nfp.close()\n",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "# getting the number of results\nf = soup.findAll(id=\"resultStats\")\nhtml = f[0].get_text()\nmatch = re.search('[\\d,]+',html)\n#num_of_google_results = match.group(0)\nnum_of_google_results = int64(match.group(0).replace(',',''))\nnum_of_google_results",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 7,
       "text": "142000000"
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "############################\n# WORD FREQ\nimport nltk",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "# ALT 1: get text from html (fd more precisely)\nraw = nltk.clean_html(fd.get_data())\ntokens = nltk.word_tokenize(raw)\nlower = [w.lower() for w in tokens]\ntext = nltk.Text(lower)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "# ALT 2: get text from a here itself\nraw = 'I poo shoes and shoes poo me'\ntokens = nltk.word_tokenize(raw)\nlower = [w.lower() for w in tokens]\ntext = nltk.Text(lower)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "# get word freqs from text\nfreq_dist = nltk.FreqDist(text)\n# print the freqs\nfreq_dist.tabulate()",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from unidecode import unidecode\nimport codecs\ndef toascii(s):\n   return unidecode(codecs.decode(s, 'utf-8'))",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 33
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "s = '\u00aa\u00ab\u00ac\u00ad\u00ae\u00af\u00b0\u00b1\u00b2\u00b3\u00b4\u00b5\u00b6\u00b7\u00b8\u00b9\u00ba\u00bb\u00c0\u00c1\u00c2\u00c3\u00c4\u00c5\u00c6\u00c7\u00c8\u00c9\u00ca\u00cb\u00cc\u00cd\u00ce\u00cf\u00d0\u00d1\u00d2\u00d3\u00d4\u00d5\u00d6\u00d7\u00d8\u00d9\u00da\u00db\u00dc\u00dd\u00de\u00df\u00e0\u00e1\u00e2\u00e3\u00e4\u00e5\u00e6\u00e7\u00e8\u00e9\u00ea\u00eb\u00ec\u00ed\u00ee\u00ef\u00f0\u00f1\u00f2\u00f3\u00f4\u00f5\u00f6\u00f7\u00f8\u00f9\u00fa\u00fb\u00fc\u00fd\u00fe'\nexpected = \"a<<!(r)-deg+-23'uP*,1o>>AAAAAAAECEEEEIIIIDNOOOOOxOUUUUYThssaaaaaaaeceeeeiiiidnooooo/ouuuuyth\"\nresult = toascii(s)\nassert result==expected\nresult",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 41,
       "text": "\"a<<!(r)-deg+-23'uP*,1o>>AAAAAAAECEEEEIIIIDNOOOOOxOUUUUYThssaaaaaaaeceeeeiiiidnooooo/ouuuuyth\""
      }
     ],
     "prompt_number": 41
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "import pandas as pd\ncsvFile = '/D/Dropbox/FromMattToThor/sample_hotel_id_name_overview.csv'\ndf = pd.read_csv(csvFile)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 43
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "df",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>hotel_id</th>\n      <th>hotel_name</th>\n      <th>hotel_overview</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td><strong>0</strong></td>\n      <td> 101118</td>\n      <td>           Hotel du Soleil Le Terminus</td>\n      <td> The H\u00f4tel du Soleil Le Terminus  enjoys a stra...</td>\n    </tr>\n    <tr>\n      <td><strong>1</strong></td>\n      <td>   1050</td>\n      <td>             Continental Hotel Vicenza</td>\n      <td> The recently renovated Continental Hotel Vicen...</td>\n    </tr>\n    <tr>\n      <td><strong>2</strong></td>\n      <td>  10547</td>\n      <td>        Hotel Quinta da Marinha Resort</td>\n      <td> Hotel Quinta da Marinha Resort is located  in ...</td>\n    </tr>\n    <tr>\n      <td><strong>3</strong></td>\n      <td>  10549</td>\n      <td>                   Quinta Das Lagrimas</td>\n      <td> Quinta das L\u00e1grimas Hotel is  4 star hotel in ...</td>\n    </tr>\n    <tr>\n      <td><strong>4</strong></td>\n      <td>  10554</td>\n      <td> LTI Pestana Viking Beach & Spa Resort</td>\n      <td> Hotel LTI Pestana Viking Beach & Spa Resort, s...</td>\n    </tr>\n    <tr>\n      <td><strong>5</strong></td>\n      <td> 110781</td>\n      <td>        Hotel Intur Palacio San Martin</td>\n      <td> Situated in  San Mart\u00edn  Square and beside the...</td>\n    </tr>\n    <tr>\n      <td><strong>6</strong></td>\n      <td> 111374</td>\n      <td>             Gay Hostal Puerta del Sol</td>\n      <td> The Gay hotel Puerta del Sol is located right ...</td>\n    </tr>\n    <tr>\n      <td><strong>7</strong></td>\n      <td> 111468</td>\n      <td>             Best Western Ambra Palace</td>\n      <td> The hotel Ambra Palace, fully renovated from a...</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
       "output_type": "pyout",
       "prompt_number": 44,
       "text": "   hotel_id                             hotel_name                                     hotel_overview\n0    101118            Hotel du Soleil Le Terminus  The H\u00f4tel du Soleil Le Terminus  enjoys a stra...\n1      1050              Continental Hotel Vicenza  The recently renovated Continental Hotel Vicen...\n2     10547         Hotel Quinta da Marinha Resort  Hotel Quinta da Marinha Resort is located  in ...\n3     10549                    Quinta Das Lagrimas  Quinta das L\u00e1grimas Hotel is  4 star hotel in ...\n4     10554  LTI Pestana Viking Beach & Spa Resort  Hotel LTI Pestana Viking Beach & Spa Resort, s...\n5    110781         Hotel Intur Palacio San Martin  Situated in  San Mart\u00edn  Square and beside the...\n6    111374              Gay Hostal Puerta del Sol  The Gay hotel Puerta del Sol is located right ...\n7    111468              Best Western Ambra Palace  The hotel Ambra Palace, fully renovated from a..."
      }
     ],
     "prompt_number": 44
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "def str_to_WC(s):\n    # preprocess string\n    s = toascii(s.lower())\n    # tokenize\n    tokens = nltk.regexp_tokenize(s,'[\\w&]+')\n    return nltk.FreqDist(tokens)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 57
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "wc = str_to_WC(df.hotel_overview[0])\nwc.tabulate()",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": " and  the    a   is   as city   in  can center   du guests hotel local property there well  100 1913    4 access activities along amenities apply area areas arts assist   at attractions available  bar bastide beaux bicycle booking  box building business canal canoeing carcassonne choice close convention cuisine deposit desk enjoys  era fines  for free from front high housed include internet   le leisure like location louis lounge magnificent major medieval metres midi neraby   of offers   on only   or provided public railway renowned rentals restaurant rowing    s safe saint shopping site smoke soleil  spa speed staff star station strategic taste terminus this tickets   to tours  tub violation visit walk wide wines wireless with\n  10   10    8    5    4    3    3    2    2    2    2    2    2    2    2    2    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1\n"
      }
     ],
     "prompt_number": 60
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "wc.plot()",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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nnWjeeN29ezeWL1+OP/74A+Hh4QgPDxdectxJzP226GjD8qVLjaeH2Bj7opxT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\nCCEOjCZ5QghxYDTJE0KIA/sf1aor8q1JHF0AAAAASUVORK5CYII=\n"
      }
     ],
     "prompt_number": 61
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "NameError",
       "evalue": "global name 'tt' is not defined",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-53-e8dbc4822503>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mstr_to_WC\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'asd asd qwoeih'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
        "\u001b[0;32m<ipython-input-45-9db82ce0a19f>\u001b[0m in \u001b[0;36mstr_to_WC\u001b[0;34m(s)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mstr_to_WC\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[1;32m      2\u001b[0m     \u001b[0;31m# preprocess string\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m     \u001b[0ms\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtoascii\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlower\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      4\u001b[0m     \u001b[0;31m# tokenize\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mtokens\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnltk\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mregexp_tokenize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mttt\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'[\\w&]+'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;31mNameError\u001b[0m: global name 'tt' is not defined"
       ]
      }
     ],
     "prompt_number": 53
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "",
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}