sonalisharma/BookHuntersLatest

## BookHuntersLatest
{
 "metadata": {
  "name": "Book Hunters"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "#Book Hunters\n\nhttps://github.com/fchasen/bookhunters\n\n###Team Members\n\nFred, Luis, Sonali\n\n###Overview\n\nWhen we search for books on the internet we are often overwhelmed with results coming from various sources. It\u2019s difficult to get direct trusted urls to books. Project Gutenberg, HathiTrust and Open Library, all provide an extensive library of books online, each with their own large repositories. By combining their catalogs, Book Hunters enables querying for a book across those different sources, our project will also highlight key statistics about the three datasets which will make it easier for the user to choose the library that best meets their needs.  \n\n###Data sources\n\nOpen Library - http://openlibrary.org/\n\nHathiTrust - http://www.hathitrust.org/\n\nGutenberg - http://www.gutenberg.org/"
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": "Import libraries and Connect to database"
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "Each library's data needed to be imported into the databse differently.\n\nThe following links provided the urls to the data and code we used to import each of the datasets.\n\nThis process takes several hours, so shown for reproducibility only.\n\nOpen Library - https://ec2-54-225-70-191.compute-1.amazonaws.com:80/5fb75e17-1eb2-4eb1-8d52-2eb5c3e18fe9\n\nHathiTrust - \n\nGutenberg - "
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "HTML(\n\"<a href='http://hathitrust.com' target='_blank'><img src='https://si0.twimg.com/profile_images/128419119/hathi_logo_bigger.jpg'/></a>\"+\n\"<a href='http://gutenberg.org' target='_blank'><img src='http://www.gutenberg.org/pics/pg-logo-002.png'/></a>\"+\n\"<a href='http://openlibrary.org/'><img src='http://openlibrary.org/images/logo_OL-lg.png'/></a>\"\n)   ",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<a href='http://hathitrust.com' target='_blank'><img src='https://si0.twimg.com/profile_images/128419119/hathi_logo_bigger.jpg'/></a><a href='http://gutenberg.org' target='_blank'><img src='http://www.gutenberg.org/pics/pg-logo-002.png'/></a><a href='http://openlibrary.org/'><img src='http://openlibrary.org/images/logo_OL-lg.png'/></a>",
       "output_type": "pyout",
       "prompt_number": 185,
       "text": "<IPython.core.display.HTML at 0x899f810>"
      }
     ],
     "prompt_number": 185
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "#Importing libraries\n\nimport matplotlib.pyplot as plt\nimport pandas as pd\nfrom itertools import islice\nimport numpy as np\n#Useful way of priting dataframe using html\nfrom IPython.core.display import HTML\nimport IPython.core.display\n",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": "/usr/local/lib/python2.7/dist-packages/pytz/__init__.py:35: UserWarning: Module logging was already imported from /usr/lib/python2.7/logging/__init__.pyc, but /usr/local/lib/python2.7/dist-packages is being added to sys.path\n  from pkg_resources import resource_stream\n"
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "#Connect to database, our data is in mysql hosted on ec2 cluster. Since the size of data was huge hence it was essential to use a database.\nimport MySQLdb\ndb = MySQLdb.connect(host=\"bookhunters.cicwejvpogpp.us-east-1.rds.amazonaws.com\", port=3306, user=\"bookhunters\", passwd=\"wwod13pw!\",\ndb=\"bookhunters\")\ncursor = db.cursor()",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "# execute SQL select statement to fetch results from database\ncursor.execute(\"select 'Hathtrust' , count(1) from ht_books union select 'Gutenberg', count(1) from gut_books union select 'Open library', count(1) from ol_books\")\nresults = cursor.fetchall()",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": "Fetching overall statistics"
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "Total Count"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "#Store results in a dataframe\nl = list(results)\ndf = pd.DataFrame(l, columns=[\"Source\",\"Count\"])\ndf = df.set_index(df.Source)\ndf",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "Books count in a bar graph"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "df['Count'].plot(kind = 'bar',title=\"Total books\")",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "#Plot graphs based on publish date\ncursor.execute(\"select pubdate,'Hathitrust' as Source, COUNT(1) from ht_books group by pubdate, 'Hathitrust' union select publish_date,'Openlibrary' as Source, COUNT(1) from ol_books group by publish_date,'Openlibrary' union select created,'Gutenberg' as Source, COUNT(1) from gut_books group by created,'Gutenberg'\")\ndates = cursor.fetchall()\n",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 136
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "dateslist = list(dates)\ndfdates=pd.DataFrame(dateslist,columns=[\"Year\",\"Source\",\"Count\"])\n#display(HTML(dfdates[:-25].to_html()))",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 137
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "Number of books by Year"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "#Parsing the dates field to fetch only the year, remove redundant text.\nimport re\ndef returnnumber(num): \n    try:\n        tmp = re.findall((\"(\\d{4})\") ,num)\n        if (len(tmp)==1):\n            return int(\"\".join(tmp))\n        else:\n            return None\n    except:\n        return None\n    ",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 138
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "#Removing null fields from the dataframe to add another column called FilteredDate to store parsed date.\ndfdates.dropna()\ns = pd.Series()\ns = dfdates.Year.apply(returnnumber)\ndfdates[\"FilteredDate\"]=s",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 139
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "dfdates.sort('FilteredDate')\ndfdates = dfdates[(dfdates.FilteredDate>1990) & (dfdates.FilteredDate<2007)]\n#display(HTML(dfdates.to_html()))",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 143
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "#Plot the books publishes by year between 1990 and 2002\nd = dfdates.pivot_table('Count', rows='FilteredDate', cols='Source', aggfunc=sum)\nd",
     "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>Source</th>\n      <th>Gutenberg</th>\n      <th>Hathitrust</th>\n      <th>Openlibrary</th>\n    </tr>\n    <tr>\n      <th>FilteredDate</th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1991</th>\n      <td>    5</td>\n      <td> 58774</td>\n      <td> 1389</td>\n    </tr>\n    <tr>\n      <th>1992</th>\n      <td>   13</td>\n      <td> 52561</td>\n      <td> 1498</td>\n    </tr>\n    <tr>\n      <th>1993</th>\n      <td>   36</td>\n      <td> 32109</td>\n      <td> 1832</td>\n    </tr>\n    <tr>\n      <th>1994</th>\n      <td>   58</td>\n      <td> 16576</td>\n      <td> 1724</td>\n    </tr>\n    <tr>\n      <th>1995</th>\n      <td>  110</td>\n      <td> 16136</td>\n      <td> 1620</td>\n    </tr>\n    <tr>\n      <th>1996</th>\n      <td>  335</td>\n      <td> 14864</td>\n      <td> 1649</td>\n    </tr>\n    <tr>\n      <th>1997</th>\n      <td>  335</td>\n      <td> 13812</td>\n      <td> 1679</td>\n    </tr>\n    <tr>\n      <th>1998</th>\n      <td>  350</td>\n      <td> 12870</td>\n      <td> 1703</td>\n    </tr>\n    <tr>\n      <th>1999</th>\n      <td>  344</td>\n      <td> 19557</td>\n      <td> 1630</td>\n    </tr>\n    <tr>\n      <th>2000</th>\n      <td>  356</td>\n      <td> 12103</td>\n      <td> 1817</td>\n    </tr>\n    <tr>\n      <th>2001</th>\n      <td>  332</td>\n      <td> 11023</td>\n      <td> 1427</td>\n    </tr>\n    <tr>\n      <th>2002</th>\n      <td>  388</td>\n      <td> 10277</td>\n      <td> 1423</td>\n    </tr>\n    <tr>\n      <th>2003</th>\n      <td> 1481</td>\n      <td> 10003</td>\n      <td> 1398</td>\n    </tr>\n    <tr>\n      <th>2004</th>\n      <td> 7124</td>\n      <td>  9891</td>\n      <td> 1262</td>\n    </tr>\n    <tr>\n      <th>2005</th>\n      <td> 5145</td>\n      <td>  9425</td>\n      <td> 1222</td>\n    </tr>\n    <tr>\n      <th>2006</th>\n      <td> 3637</td>\n      <td>  8401</td>\n      <td> 1147</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
       "output_type": "pyout",
       "prompt_number": 144,
       "text": "Source        Gutenberg  Hathitrust  Openlibrary\nFilteredDate                                    \n1991                  5       58774         1389\n1992                 13       52561         1498\n1993                 36       32109         1832\n1994                 58       16576         1724\n1995                110       16136         1620\n1996                335       14864         1649\n1997                335       13812         1679\n1998                350       12870         1703\n1999                344       19557         1630\n2000                356       12103         1817\n2001                332       11023         1427\n2002                388       10277         1423\n2003               1481       10003         1398\n2004               7124        9891         1262\n2005               5145        9425         1222\n2006               3637        8401         1147"
      }
     ],
     "prompt_number": 144
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "d.plot(title=\"Total books collection by year\", linewidth=2.5 )",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 145,
       "text": "<matplotlib.axes.AxesSubplot at 0x7146fd0>"
      },
      {
       "output_type": "display_data",
       "png": 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zkJMf1ZPnNj/HxjMbsWxuybU3rimN3pKka/TtvSVVTk5+pGfKGw593dQ/RMwr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\nDMMwTK+ws2AYhmF6hZ0FwzAM0yv/D4E8vurg5J7uAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 145
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "def ipynb_input(varname, prompt=''):\n    \"\"\"Prompt user for input and assign string val to given variable name.\"\"\"\n    js_code = (\"\"\"\n        var value = prompt(\"{prompt}\",\"\");\n        var py_code = \"{varname} = '\" + value + \"'\";\n        IPython.notebook.kernel.execute(py_code);\n    \"\"\").format(prompt=prompt, varname=varname)\n    return IPython.core.display.Javascript(js_code)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 146
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "ipynb_input(\"queryterm\", prompt='Enter keywords from book title: ')",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "javascript": "\n        var value = prompt(\"Enter keywords from book title: \",\"\");\n        var py_code = \"queryterm = '\" + value + \"'\";\n        IPython.notebook.kernel.execute(py_code);\n    ",
       "output_type": "pyout",
       "prompt_number": 147,
       "text": "<IPython.core.display.Javascript at 0x737aa90>"
      }
     ],
     "prompt_number": 147
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "Plot books count by year"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "cursor.execute(\"select lang as lang,count(1) as count,'Hathitrust' as Source from ht_books where lang is not null group by (lang)\") \ndflang_ht = pd.DataFrame(list(cursor.fetchall()),columns=['Language','Count','Source'])\ncursor.execute(\"select lang as lang ,count(1) as count,'Gutenberg' as Source from gut_books where lang is not null group by (lang)\")\ndflang_gb = pd.DataFrame(list(cursor.fetchall()),columns=['Language','Count','Source'])\ncursor.execute(\"select language as lang,count(1) as count, 'Openlibrary' as Source from ol_books where language is not null group by (language)\")\ndflang_ol = pd.DataFrame(list(cursor.fetchall()),columns=['Language','Count','Source'])",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "#Function to translate date abbreviation to their full form\ndef language(l):\n    langdict= { 'eng':'English',\n                'ger':'German',\n                'fre':'French',\n                'chi':'Chinese',\n                'jpn':'Japan',\n                'rus':'Russian',\n                'en':'English',\n                'fr':'French',\n                'de':'Dutch',\n                'nl':'Dutch',\n                'pt':'Portugese',\n                'spa':'Spanish',\n                'ita':'Italian',\n                'lat':'Latin',\n                'fr':'French',\n                'fi':'Finnish'    }\n    try:\n        if len(l)>3:\n            tmp= l[-3:]\n        else:\n            tmp=l\n        return langdict[tmp]\n    except:\n        return 'Other'\n    ",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 148
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "dflang_gb6= dflang_gb[dflang_gb.Language.str.strip()!=\"\"].sort('Count')[::-1][:6]\ndflang_ol6 = dflang_ol[dflang_ol.Language.str.strip()!=\"\"].sort('Count')[::-1][:6]\ndflang_ht6 = dflang_ht[dflang_ht.Language.str.strip()!=\"\"].sort('Count')[::-1][:6]\ndflang_gb6['Lang']= dflang_gb[dflang_gb.Language.str.strip()!=\"\"].sort('Count')[::-1][:6].Language.apply(language)\ndflang_ol6['Lang']= dflang_ol[dflang_ol.Language.str.strip()!=\"\"].sort('Count')[::-1][:6].Language.apply(language)\ndflang_ht6['Lang']= dflang_ht[dflang_ht.Language.str.strip()!=\"\"].sort('Count')[::-1][:6].Language.apply(language)\ndf_mer_lang = dflang_gb6.append(dflang_ol6).append(dflang_ht6)",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "Books by language"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "df_mer_lang = df_mer_lang.pivot_table('Count', rows='Lang', cols='Source', aggfunc=sum)\ndf_mer_lang.fillna(0)",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "Plot books count by language for the three data sources"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "fig = plt.figure()\nfig.set_size_inches(10,10)\nax1 = fig.add_subplot(2, 2, 1)\ndf_mer_lang.fillna(0)['Gutenberg'].plot(kind=\"barh\", title=\"Gutenberg\",color='r')\nax2 = fig.add_subplot(2, 2, 2)\ndf_mer_lang.fillna(0)['Openlibrary'].plot(kind=\"barh\", title=\"Openlibrary\",color='b')\nax3 = fig.add_subplot(2, 2, 3)\nprint \"\\n\"\nprint \"\\n\"\ndf_mer_lang.fillna(0)['Hathitrust'].plot(kind=\"barh\", title=\"Hathitrust\",color='g')",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "#Format still working in this\n# LUIS TO REVIEW THIS QUERY, NOT RETURNING EPUB OR TEXT COUNTS\nquery = \" \".join([\"select COUNT(FORM) AS formatcnt, FORM as format, Source\",\n\"from( select case WHEN gut_files.FORMAT LIKE '%epub%' then 'epub'\", \n\"else case WHEN gut_files.FORMAT LIKE '%pdf%' THEN 'pdf' \",\n\"else case WHEN gut_files.format like '%text%' THEN 'text'  END END END AS FORM ,  'Gutenberg' as Source\",\n\"from gut_files) a\",\n\"group by FORM , Source\",\n\"union SELECT count('PDF') as formatcnt,'pdf'  as format, 'Hathitrust'as Source from ht_books where Access='allow' group by 'PDF','Hathitrust' \",\n\"union select count('epub') as formatcnt,'epub' as format, 'Openlibrary' as Source from ol_books group by 'epub','Openlibrary' \",\n\"union select count('text') as formatcnt, 'text' as format, 'Openlibrary' as Source from ol_books group by 'text','Openlibrary' \",\n\"union select count('pdf') as formatcnt, 'pdf' as format, 'Openlibrary' as Source from ol_books group by 'pdf','Openlibrary' \"\n])\ncursor.execute(query)\nformatres = list(cursor.fetchall())\ndfformatres = pd.DataFrame(formatres,columns=['Count','Format','Source'])\n",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "dfformatres = dfformatres.pivot_table('Count', rows='Format', cols='Source', aggfunc=sum)",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "dfformatres.plot(kind=\"bar\", stacked=True)",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "Prompt the user to search for a book"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "def ipynb_input(varname, prompt=''):\n    \"\"\"Prompt user for input and assign string val to given variable name.\"\"\"\n    js_code = (\"\"\"\n        var value = prompt(\"{prompt}\",\"\");\n        var py_code = \"{varname} = '\" + value + \"'\";\n        IPython.notebook.kernel.execute(py_code);\n    \"\"\").format(prompt=prompt, varname=varname)\n    return IPython.core.display.Javascript(js_code)\n",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 166
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "ipynb_input(\"queryterm\", prompt='Enter keywords from book title: ')",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "javascript": "\n        var value = prompt(\"Enter keywords from book title: \",\"\");\n        var py_code = \"queryterm = '\" + value + \"'\";\n        IPython.notebook.kernel.execute(py_code);\n    ",
       "output_type": "pyout",
       "prompt_number": 167,
       "text": "<IPython.core.display.Javascript at 0x8774090>"
      }
     ],
     "prompt_number": 167
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "### need to put data for open library\n\nquery = \"\".join([\"select distinct 'Gutenberg' as source, g.title as title, \" ,\n\"g.creator as author,  g.lang as language,'Unknown' as pubdate, 'public domain' as rights, \",\n\"(select about from gut_files where format like '%pdf%' and etext_id=g.etext_id limit 1) as pdf, \",\n\"(select about from gut_files where format like '%text%' and etext_id=g.etext_id limit 1) as text, \",\n\"(select about from gut_files where format like '%epub%' and etext_id=g.etext_id limit 1) as epub \",\n\"from gut_books g  \",\n\"where lower(title) like lower('%\"+queryterm+\"%')  \"  ,\n\"union \",\n\"select distinct 'Hathitrust' as source, Title as title,  \",\n\"'Unknown' as author, lang as language, PubDate as pubdate, case Access when 'allow' then 'public domain' else 'non public' end as rights, \",\n\"concat('http://hdl.handle.net/2027/',VolumeID) as pdf,'N/A' as epub, 'N/A' as text from \",\n\"ht_books where lower(Title) like lower('%\"+queryterm+\"%') and Access = 'allow' \",\n\"union \",\n\"select distinct 'OpenLibrary' as source, title, name as author, \",\n\"language, publish_date as pubdate, 'Unknown' as rights, \",\n\"concat('http://www.archive.org/download/',ocaid, '/', ocaid, '.pdf') as pdf, \",\n\"concat('http://www.archive.org/download/',ocaid, '/', ocaid, '_djvu.txt') as text, \",\n\"concat('http://www.archive.org/download/',ocaid, '/', ocaid, '.epub') as epub \",\n\"from ol_books LEFT JOIN ol_authors ON ol_books.author_key = ol_authors.key where lower(title) like lower('%\"+queryterm+\"%')\"])\ncursor.execute(query)\nres = list(cursor.fetchall())\n",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 172
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "if(len(res)):\n    dfresult = pd.DataFrame(res ,columns=['source','title', 'author','language','pubdate','rights','pdf','text','epub'] )\n    print \"Total Results:\",len(dfresult)\nelse:\n    print \"No results returned, try again\"",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "Total Results: 21\n"
      }
     ],
     "prompt_number": 173
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "source = dfresult.groupby('source')\nsource['source'].value_counts().plot(kind=\"bar\", title=\"Count distribution of searched results\")",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 174,
       "text": "<matplotlib.axes.AxesSubplot at 0x8774110>"
      },
      {
       "output_type": "display_data",
       "png": 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cG2sfG175R0RUSXDGXOVZ+6xMZRwbdXHGTERE+bAwW4QmOwDp0mQHIF2a7ADK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\nUgwLMxGRYliYiYgUw8JMRKSY/w/Dccp1KWqtRQAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 174
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "dfresult.language.apply(language)\nlbl= dfresult.language.apply(language).value_counts().index\npie(dfresult.language.apply(language).value_counts(), labels=lbl, autopct='%1.1f%%')",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 175,
       "text": "([<matplotlib.patches.Wedge at 0x89c8310>,\n  <matplotlib.patches.Wedge at 0x89c8950>],\n [<matplotlib.text.Text at 0x89c87d0>, <matplotlib.text.Text at 0x89c8e10>],\n [<matplotlib.text.Text at 0x89c88d0>, <matplotlib.text.Text at 0x89c89d0>])"
      },
      {
       "output_type": "display_data",
       "png": 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bzUbPnj3Zvn17pQsXvNcMDVpRUVGsWvUZCQn9sNk6I5viCP8Sjse5C86OgRmf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\nfEhKVwghfEhKVwghfOj/A5+1Cui5r5hxAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 175
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "def maketable(df):\n    imagedict={6:\"http://fchasen.com/cal/open-data/icons/pdf-icon.png\",\n               8:\"http://fchasen.com/cal/open-data/icons/epub-icon.png\",\n               7:\"http://fchasen.com/cal/open-data/icons/text-icon.png\"}\n    columns=df.columns\n    \n    table =\"<table><thead>\"\n    table +=\" <tr><th>Results</th>\"\n    for i in columns:\n        table += \"<th>{0}</th>\".format(i)\n    table += \"</tr></thead><tbody>\"\n    for k,s  in dfresult.iterrows():\n        table +=\"<tr>\"\n        table +=    \"<th>{0}</th>\".format(k)\n    \n        for colnum,j in enumerate(s):\n            #print type(j)\n            try:\n                if (colnum in [6,7,8]):\n                    if j is not None and j[:4]==\"http\":\n                        table +=    \"<td style='word-break:break-word;'><a href='{0}' target='_blank' style='word-break:break-word;'><img src='{1}' style='height:50px; margin: 0 auto;'/></td>\".format(j,imagedict[colnum])\n                    else:\n                        table +=    \"<td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td>\"\n                else:\n                    table +=    \"<td>{0}</td>\".format(j)\n            except:\n                table +=    \"<td>{0}</td>\".format(j)\n        table += \"</tr>\"\n\n    table += \"</tbody></table>\"\n    return table",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 218
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "HTML(maketable(dfresult))",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<table><thead> <tr><th>Results</th><th>source</th><th>title</th><th>author</th><th>language</th><th>pubdate</th><th>rights</th><th>pdf</th><th>text</th><th>epub</th></tr></thead><tbody><tr><th>0</th><td>Gutenberg</td><td>Tenniel Illustrations for Alice in Wonderland</td><td>Tenniel, John, Sir, 1820-1914</td><td>None</td><td>Unknown</td><td>public domain</td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td><td style='word-break:break-word;'><a href='http://www.gutenberg.org/dirs/1/1/114/114-h/114-h.htm' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/text-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td></tr><tr><th>1</th><td>Gutenberg</td><td>Alice in Wonderland Retold in Words of One Syllable</td><td>\n    </td><td>en</td><td>Unknown</td><td>public domain</td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td><td style='word-break:break-word;'><a href='http://www.gutenberg.org/dirs/1/9/5/5/19551/19551-8.txt' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/text-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.gutenberg.org/cache/epub/19551/pg19551.epub' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/epub-icon.png' style='height:50px; margin: 0 auto;'/></td></tr><tr><th>2</th><td>Gutenberg</td><td>Alice in Blunderland An Iridescent Dream</td><td>Bangs, John Kendrick, 1862-1922</td><td>en</td><td>Unknown</td><td>public domain</td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td><td style='word-break:break-word;'><a href='http://www.gutenberg.org/dirs/2/8/0/6/28069/28069-8.txt' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/text-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.gutenberg.org/cache/epub/28069/pg28069.epub' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/epub-icon.png' style='height:50px; margin: 0 auto;'/></td></tr><tr><th>3</th><td>Gutenberg</td><td>Alice in Wonderland A Dramatization of Lewis Carroll's \"Alice's Adventures in Wonderland\" and \"Through the Looking Glass\"</td><td>Gerstenberg, Alice, 1885-1972</td><td>en</td><td>Unknown</td><td>public domain</td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td><td style='word-break:break-word;'><a href='http://www.gutenberg.org/dirs/3/5/6/8/35688/35688-h/35688-h.htm' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/text-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.gutenberg.org/cache/epub/35688/pg35688.epub' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/epub-icon.png' style='height:50px; margin: 0 auto;'/></td></tr><tr><th>4</th><td>Gutenberg</td><td>The Story of Lewis Carroll Told for Young People by the Real Alice in Wonderland</td><td>Bowman, Isa</td><td>en</td><td>Unknown</td><td>public domain</td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td><td style='word-break:break-word;'><a href='http://www.gutenberg.org/dirs/3/5/9/9/35990/35990-8.txt' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/text-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.gutenberg.org/cache/epub/35990/pg35990.epub' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/epub-icon.png' style='height:50px; margin: 0 auto;'/></td></tr><tr><th>5</th><td>Gutenberg</td><td>Songs From Alice in Wonderland and Through the Looking-Glass</td><td>Carroll, Lewis, 1832-1898</td><td>en</td><td>Unknown</td><td>public domain</td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td><td style='word-break:break-word;'><a href='http://www.gutenberg.org/dirs/3/6/3/0/36308/36308-8.txt' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/text-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.gutenberg.org/cache/epub/36308/pg36308.epub' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/epub-icon.png' style='height:50px; margin: 0 auto;'/></td></tr><tr><th>6</th><td>Hathitrust</td><td>A new Alice in the old Wonderland, with sixty-seven illustrations by Anna M. Richards, jr.</td><td>Unknown</td><td>eng</td><td>1895</td><td>public domain</td><td style='word-break:break-word;'><a href='http://hdl.handle.net/2027/mdp.39015008784962' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/pdf-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td></tr><tr><th>7</th><td>Hathitrust</td><td>A new Alice in the old Wonderland, with sixty-seven illustrations by Anna M. Richards, jr.</td><td>Unknown</td><td>eng</td><td>1895</td><td>public domain</td><td style='word-break:break-word;'><a href='http://hdl.handle.net/2027/nyp.33433082297437' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/pdf-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td></tr><tr><th>8</th><td>Hathitrust</td><td>Malice in kulturland. By Horace Wyatt. With illustrations by W. Tell.</td><td>Unknown</td><td>eng</td><td>1915</td><td>public domain</td><td style='word-break:break-word;'><a href='http://hdl.handle.net/2027/mdp.39015063991320' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/pdf-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td></tr><tr><th>9</th><td>Hathitrust</td><td>Malice in kulturland. By Horace Wyatt. With illustrations by W. Tell.</td><td>Unknown</td><td>eng</td><td>1915</td><td>public domain</td><td style='word-break:break-word;'><a href='http://hdl.handle.net/2027/uc1.b283306' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/pdf-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td></tr><tr><th>10</th><td>Hathitrust</td><td>Malice in kulturland. By Horace Wyatt. With illustrations by W. Tell.</td><td>Unknown</td><td>eng</td><td>1915</td><td>public domain</td><td style='word-break:break-word;'><a href='http://hdl.handle.net/2027/uc2.ark:/13960/t3dz0' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/pdf-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td></tr><tr><th>11</th><td>Hathitrust</td><td>Alice in Jungleland,</td><td>Unknown</td><td>eng</td><td>1927</td><td>public domain</td><td style='word-break:break-word;'><a href='http://hdl.handle.net/2027/mdp.39015035802944' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/pdf-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td></tr><tr><th>12</th><td>Hathitrust</td><td>Alice in Wonderland, by Lewis Carroll [pseud.] With the original illustrations drawn by Sir John Tenniel.</td><td>Unknown</td><td>eng</td><td>1940</td><td>public domain</td><td style='word-break:break-word;'><a href='http://hdl.handle.net/2027/mdp.39015066045934' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/pdf-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td></tr><tr><th>13</th><td>Hathitrust</td><td>Lost in the bungle (with apologies to Lewis Carroll) by Edwin M. Otterbourg ... with an introduction by the Hon. John C. Knox ... Being a continuation of the difficulties of Alice in Rankbustland.</td><td>Unknown</td><td>eng</td><td>1933</td><td>public domain</td><td style='word-break:break-word;'><a href='http://hdl.handle.net/2027/mdp.39015035110504' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/pdf-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td></tr><tr><th>14</th><td>Hathitrust</td><td>Alice in Wonderland, a choral ballad for solo voice ad lib. and two-part chorus with pianoforte or orchestral accompaniment. Poems by Lewis Carroll (with a prologue and incidental verse by Frederick H. Martens)</td><td>Unknown</td><td>eng</td><td>1918</td><td>public domain</td><td style='word-break:break-word;'><a href='http://hdl.handle.net/2027/mdp.39015007861670' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/pdf-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td><td style='text-align:center'><img src='http://fchasen.com/cal/open-data/icons/none-icon.png' style='height:30px; margin: 10px auto;'/></td></tr><tr><th>15</th><td>OpenLibrary</td><td>Alice in jeopardy</td><td>None</td><td>/languages/eng</td><td>2005</td><td>Unknown</td><td style='word-break:break-word;'><a href='http://www.archive.org/download/aliceinjeopardy00mcba/aliceinjeopardy00mcba.pdf' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/pdf-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.archive.org/download/aliceinjeopardy00mcba/aliceinjeopardy00mcba_djvu.txt' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/text-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.archive.org/download/aliceinjeopardy00mcba/aliceinjeopardy00mcba.epub' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/epub-icon.png' style='height:50px; margin: 0 auto;'/></td></tr><tr><th>16</th><td>OpenLibrary</td><td>Alice in Blunderland</td><td>None</td><td>/languages/eng</td><td>2003</td><td>Unknown</td><td style='word-break:break-word;'><a href='http://www.archive.org/download/aliceinblunderla00nayl/aliceinblunderla00nayl.pdf' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/pdf-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.archive.org/download/aliceinblunderla00nayl/aliceinblunderla00nayl_djvu.txt' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/text-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.archive.org/download/aliceinblunderla00nayl/aliceinblunderla00nayl.epub' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/epub-icon.png' style='height:50px; margin: 0 auto;'/></td></tr><tr><th>17</th><td>OpenLibrary</td><td>Malice in Kulturland</td><td>None</td><td>/languages/eng</td><td>1915</td><td>Unknown</td><td style='word-break:break-word;'><a href='http://www.archive.org/download/maliceinkulturla00wyat/maliceinkulturla00wyat.pdf' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/pdf-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.archive.org/download/maliceinkulturla00wyat/maliceinkulturla00wyat_djvu.txt' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/text-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.archive.org/download/maliceinkulturla00wyat/maliceinkulturla00wyat.epub' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/epub-icon.png' style='height:50px; margin: 0 auto;'/></td></tr><tr><th>18</th><td>OpenLibrary</td><td>Malice in kulturland</td><td>None</td><td>None</td><td>1917</td><td>Unknown</td><td style='word-break:break-word;'><a href='http://www.archive.org/download/maliceinkulturla00wyatuoft/maliceinkulturla00wyatuoft.pdf' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/pdf-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.archive.org/download/maliceinkulturla00wyatuoft/maliceinkulturla00wyatuoft_djvu.txt' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/text-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.archive.org/download/maliceinkulturla00wyatuoft/maliceinkulturla00wyatuoft.epub' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/epub-icon.png' style='height:50px; margin: 0 auto;'/></td></tr><tr><th>19</th><td>OpenLibrary</td><td>Alice in Wonderland</td><td>None</td><td>None</td><td>1915</td><td>Unknown</td><td style='word-break:break-word;'><a href='http://www.archive.org/download/aliceinwonderlan00gersrich/aliceinwonderlan00gersrich.pdf' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/pdf-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.archive.org/download/aliceinwonderlan00gersrich/aliceinwonderlan00gersrich_djvu.txt' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/text-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.archive.org/download/aliceinwonderlan00gersrich/aliceinwonderlan00gersrich.epub' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/epub-icon.png' style='height:50px; margin: 0 auto;'/></td></tr><tr><th>20</th><td>OpenLibrary</td><td>Alice in Lace (Alice)</td><td>None</td><td>/languages/eng</td><td>August 1, 1997</td><td>Unknown</td><td style='word-break:break-word;'><a href='http://www.archive.org/download/aliceinlace00nayl/aliceinlace00nayl.pdf' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/pdf-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.archive.org/download/aliceinlace00nayl/aliceinlace00nayl_djvu.txt' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/text-icon.png' style='height:50px; margin: 0 auto;'/></td><td style='word-break:break-word;'><a href='http://www.archive.org/download/aliceinlace00nayl/aliceinlace00nayl.epub' target='_blank' style='word-break:break-word;'><img src='http://fchasen.com/cal/open-data/icons/epub-icon.png' style='height:50px; margin: 0 auto;'/></td></tr></tbody></table>",
       "output_type": "pyout",
       "prompt_number": 220,
       "text": "<IPython.core.display.HTML at 0x7439d90>"
      }
     ],
     "prompt_number": 220
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "#Fetching books only from hathitrust\nquery = \"\".join([\"select Title as title, 'Unknown' as subtitle, 'Unknown' as author,\",\n\"lang as language, PubDate as pubdate, Access as rights, concat('http://hdl.handle.net/2027/',VolumeID) as link,\",\n\"'pdf' as format from ht_books where title like '%\" ,\nqueryterm,\n\"%'\"])\nquery\ncursor.execute(query)\nhtres = list(cursor.fetchall())\ndfht= pd.DataFrame(htres , columns=['title','subtitle','author','language','pubdate','rights','link','format'])",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 199
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "#dislaying results from hathitrust\ndisplay(HTML(dfht.to_html()))",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>title</th>\n      <th>subtitle</th>\n      <th>author</th>\n      <th>language</th>\n      <th>pubdate</th>\n      <th>rights</th>\n      <th>link</th>\n      <th>format</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0 </th>\n      <td> A new Alice in the old Wonderland, with sixty-...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1895</td>\n      <td> allow</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015008784962</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>1 </th>\n      <td> A new Alice in the old Wonderland, with sixty-...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1895</td>\n      <td> allow</td>\n      <td>   http://hdl.handle.net/2027/nyp.33433082297437</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>2 </th>\n      <td> Malice in kulturland. By Horace Wyatt. With il...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1915</td>\n      <td> allow</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015063991320</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>3 </th>\n      <td> Malice in kulturland. By Horace Wyatt. With il...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1915</td>\n      <td> allow</td>\n      <td>          http://hdl.handle.net/2027/uc1.b283306</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>4 </th>\n      <td> Malice in kulturland. By Horace Wyatt. With il...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1915</td>\n      <td> allow</td>\n      <td> http://hdl.handle.net/2027/uc2.ark:/13960/t3dz0</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>5 </th>\n      <td> Alice in genderland : reflections on language,...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1985</td>\n      <td>  deny</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015012149491</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>6 </th>\n      <td>                              Alice in Wonderland;</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1949</td>\n      <td>  deny</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015002461609</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>7 </th>\n      <td>    Alice in Womanland = or, The feminine mistake.</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1967</td>\n      <td>  deny</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015002252503</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>8 </th>\n      <td> Alice : a musical play in two acts based on Le...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1981</td>\n      <td>  deny</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015013624773</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>9 </th>\n      <td> Malice in Wonderland : contemporary satire in ...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> |||</td>\n      <td> 1967</td>\n      <td>  deny</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015011327312</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>                              Alice in Jungleland,</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1927</td>\n      <td> allow</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015035802944</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td> The Illustrators of Alice in Wonderland and Th...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1972</td>\n      <td>  deny</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015031601399</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td> Alice in many tongues : the translations of Al...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1964</td>\n      <td>  deny</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015005368181</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td> Alice in Wonderland, by Lewis Carroll [pseud.]...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1940</td>\n      <td> allow</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015066045934</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td> Alice in Wonderland, adapted for the stage by ...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1932</td>\n      <td>  deny</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015002514530</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td> Lost in the bungle (with apologies to Lewis Ca...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1933</td>\n      <td> allow</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015035110504</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td> Alice in rapture, sort of / Phyllis Reynolds N...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1989</td>\n      <td>  deny</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015015497368</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td> Alice in Wonderland, a choral ballad for solo ...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1918</td>\n      <td> allow</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015007861670</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td> Alice in wormland : selected poems / Dorothy H...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1990</td>\n      <td>  deny</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015019427775</td>\n      <td> pdf</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td> Three choruses from Alice in Wonderland. First...</td>\n      <td> Unknown</td>\n      <td> Unknown</td>\n      <td> eng</td>\n      <td> 1944</td>\n      <td>  deny</td>\n      <td>   http://hdl.handle.net/2027/mdp.39015007868196</td>\n      <td> pdf</td>\n    </tr>\n  </tbody>\n</table>",
       "output_type": "display_data",
       "text": "<IPython.core.display.HTML at 0x411d690>"
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "dfht.pubdate.apply(returnnumber).value_counts().plot(kind=\"bar\", title = \"number of books published per year for the queries book\")",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "NameError",
       "evalue": "name 'returnnumber' is not defined",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
        "\u001b[1;32m<ipython-input-22-8d2049bf90e6>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdfht\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpubdate\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mreturnnumber\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkind\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"bar\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtitle\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"number of books published per year for the queries book\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
        "\u001b[1;31mNameError\u001b[0m: name 'returnnumber' is not defined"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "dfht.language.apply(language)\nlbl = dfht.language.apply(language).value_counts().index\npie(dfht.language.apply(language).value_counts(), labels=lbl, autopct='%1.1f%%')\n",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 23,
       "text": "([<matplotlib.patches.Wedge at 0x46dd390>,\n  <matplotlib.patches.Wedge at 0x46dd9d0>],\n [<matplotlib.text.Text at 0x46dd850>, <matplotlib.text.Text at 0x46dde90>],\n [<matplotlib.text.Text at 0x46dd950>, <matplotlib.text.Text at 0x46dda50>])"
      },
      {
       "output_type": "display_data",
       "png": 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S7yhCiMvaAUwH0ypMlp1/3oirMtpFoG9mI65ssEyycDLjJHa7vXBi6ygkyvvX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\nJOUthBAGJOUthBAG9P+KnR23cSWy7wAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "display(HTML(\"<a href='#http://google.com\">fred</a>'))",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "",
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}