sonalisharma/NonGoogleHathitrustdata

## NonGoogleHathitrustdata
{
 "metadata": {
  "name": "OpenDataHathiTrust"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "DATA_FILES = {\"nondigitized\":\"Project/Data/non_google_pd_pdus.xml\",\n",
      "         \"fullhathifiles\":\"Project/Data/hathi_full_20130301.txt\"}"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import os\n",
      "import sys\n",
      "import pandas as pd\n",
      "import numpy as np\n",
      "def file_path(key):\n",
      "    return os.path.join(os.pardir, DATA_FILES[key])   "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 62
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "file_path(\"nondigitized\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "'../Project/Data/non_google_pd_pdus.xml'"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#In the original file, replaced xmlns:dc= url with xmlns:dc=\"#\" this works , loaing xml file data into mysql database, this needs to be worked on\n",
      "from lxml import etree\n",
      "from collections import defaultdict\n",
      "import pandas as pd\n",
      "import sqlite3\n",
      "from pandas.io import sql\n",
      "tree = etree.parse(file_path(\"nondigitized\"))\n",
      "root=tree.getroot()\n",
      "finaldictlist=list()\n",
      "for record in root.getchildren():\n",
      "    tmpdict=defaultdict(list)\n",
      "    tmpdict.update(record.attrib)\n",
      "    for ch in record.getchildren():\n",
      "        if ((ch.tag.replace(\"{#}\",\"\") == 'identifier') or (ch.tag.replace(\"{#}\",\"\") == 'description')):\n",
      "            pass\n",
      "        else:\n",
      "            #tmpdict[ch.tag.replace(\"{#}\",\"\")].append(ch.text)\n",
      "            tmpdict.update({ch.tag.replace(\"{#}\",\"\"):ch.text})\n",
      "            #tmpdict[ch.tag.replace(\"{#}\",\"\")] = [''.join(tmpdict[ch.tag.replace(\"{#}\",\"\")])]\n",
      "    finaldictlist.append(tmpdict)\n",
      "finaldictlist\n",
      "dfnondigitized = pd.DataFrame(finaldictlist)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Finding out authors with maximum publications\n",
      "creatercount  =  dfnondigitized['creator'].value_counts()\n",
      "maxpublications = creatercount[creatercount>50]\n",
      "maxpublications"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "Oliphant, Mrs. (Margaret), 1828-1897.                           197\n",
        "Abd\u00fclhamid II, Sultan of the Turks, 1842-1918, former owner.    192\n",
        "Valpy, Abraham John, 1787-1854.                                 170\n",
        "Cairns Collection of American Women Writers.                    156\n",
        "United States. Office of the Federal Register.                  146\n",
        "Freeman, A. C. (Abraham Clark), 1843-1911.                      146\n",
        "Lytton, Edward Bulwer Lytton, Baron, 1803-1873.                 145\n",
        "Scott, Walter, Sir, 1771-1832.                                  136\n",
        "Dickens, Charles, 1812-1870.                                    116\n",
        "Saintsbury, George, 1845-1933.                                  114\n",
        "Lawrence J. Gutter Collection of Chicagoana (University of Illinois at Chicago) ICIU    111\n",
        "Defoe, Daniel, 1661?-1731.                                      110\n",
        "James, G. P. R. (George Payne Rainsford), 1801?-1860.           108\n",
        "Balzac, Honor\u00e9 de, 1799-1850.                                   108\n",
        "Canada. Parliament.                                             107\n",
        "Lever, Charles James, 1806-1872.                                103\n",
        "Black, William, 1841-1898.                                      101\n",
        "Chalmers, Alexander, 1759-1834.                                 101\n",
        "Whyte-Melville, G. J. (George John), 1821-1878.                 100\n",
        "Eliot, George, 1819-1880.                                        98\n",
        "Thackeray, William Makepeace, 1811-1863.                         96\n",
        "Wood, Henry, Mrs., 1814-1887.                                    95\n",
        "Leigh, Oliver Herbrand Gordon.                                   89\n",
        "Baring-Gould, S. (Sabine), 1834-1924.                            88\n",
        "Swift, Jonathan, 1667-1745.                                      84\n",
        "Russell, William Clark, 1844-1911.                               81\n",
        "Carlyle, Thomas, 1795-1881.                                      79\n",
        "Kipling, Rudyard, 1865-1936.                                     77\n",
        "Braddon, M. E. (Mary Elizabeth), 1837-1915.                      77\n",
        "Disraeli, Benjamin, Earl of Beaconsfield, 1804-1881.             76\n",
        "Lang, Andrew, 1844-1912.                                         75\n",
        "Ouida, 1839-1908.                                                75\n",
        "Longfellow, Henry Wadsworth, 1807-1882.                          75\n",
        "Besant, Walter, Sir, 1836-1901.                                  74\n",
        "Gore, Mrs. (Catherine Grace Frances), 1799-1861.                 74\n",
        "Cooper, James Fenimore, 1789-1851.                               73\n",
        "Kingsley, Charles, 1819-1875.                                    72\n",
        "Dumas, Alexandre, 1802-1870.                                     71\n",
        "Reid, Mayne, 1818-1883.                                          71\n",
        "Swedenborg, Emanuel, 1688-1772.                                  71\n",
        "Stevenson, Robert Louis, 1850-1894.                              71\n",
        "Johnson, Samuel, 1709-1784.                                      69\n",
        "Ruskin, John, 1819-1900.                                         69\n",
        "Yonge, Charlotte Mary, 1823-1901.                                69\n",
        "Harte, Bret, 1836-1902.                                          66\n",
        "New York (State). Court of Appeals                               66\n",
        "Hewlett, Maurice, 1861-1923.                                     66\n",
        "Smart, Hawley, 1833-1893.                                        65\n",
        "Moore, Thomas, 1779-1852.                                        64\n",
        "MacDonald, George, 1824-1905.                                    64\n",
        "Karl Baedeker (Firm)                                             63\n",
        "Braddon, M. E. (Mary Elizabeth), 1835-1915.                      63\n",
        "Phillpotts, Eden, 1862-1960.                                     63\n",
        "Meyerhof, Max, 1874-1945, former owner.                          63\n",
        "Irving, Washington, 1783-1859.                                   61\n",
        "Burke, Edmund, 1729-1797.                                        61\n",
        "Ridpath, John Clark, 1840-1900.                                  61\n",
        "Great Britain. Laws, statutes, etc.                              61\n",
        "Hunt, Leigh, 1784-1859.                                          60\n",
        "Collins, Wilkie, 1824-1889.                                      60\n",
        "Payn, James, 1830-1898.                                          60\n",
        "Burton, Richard Francis, Sir, 1821-1890.                         59\n",
        "Ohio.                                                            59\n",
        "Schiller, Friedrich, 1759-1805.                                  59\n",
        "Riley, James Whitcomb, 1849-1916.                                59\n",
        "Meredith, George, 1828-1909.                                     58\n",
        "M\u00fchlbach, L. (Luise), 1814-1873.                                 58\n",
        "Fitzgerald, Percy Hetherington, 1834-1925.                       58\n",
        "Shakespeare, William, 1564-1616.                                 58\n",
        "Grant, James, 1822-1887.                                         57\n",
        "Arthur, T. S. (Timothy Shay), 1809-1885.                         56\n",
        "Henty, G. A. (George Alfred), 1832-1902.                         56\n",
        "Traill, H. D. (Henry Duff), 1842-1900.                           55\n",
        "Abbott, Jacob, 1803-1879.                                        54\n",
        "Bennett, Arnold, 1867-1931.                                      54\n",
        "Tabor, Eliza.                                                    54\n",
        "Dobson, Austin, 1840-1921.                                       54\n",
        "Byron, George Gordon Byron, Baron, 1788-1824.                    53\n",
        "K\u00f6niglich Bayerische Akademie der Wissenschaften. Historische Kommission.     53\n",
        "Lecky, William Edward Hartpole, 1838-1903.                       53\n",
        "Walls, Thomas H., tr.                                            52\n",
        "Rouillu, Charles August, 1883- ed.                               52\n",
        "Crockett, S. R. (Samuel Rutherford), 1860-1914.                  52\n",
        "Gladstone, W. E. (William Ewart), 1809-1898.                     52\n",
        "Length: 84"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Plot the graph for top 10 authors along with the number of publications\n",
      "import matplotlib\n",
      "maxpublications[:11].plot(kind='barh',rot=0)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x10f1f1c50>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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nn9iwYQPkcjnat28PqVRa5bEsVfodk5mZWennvvxxLN8Fqaq4d+zYUel5WNs6fN4f6jXt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\n"
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Fetch dataframe row corresponding to the most popular author\n",
      "tmp = maxpublications.index\n",
      "topauthor = dfnondigitized[dfnondigitized['creator']==tmp[0]]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 152
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#For the top author plot a graph of when sevral books were ublished over years.\n",
      "import matplotlib.pyplot as plt\n",
      "fig = plt.figure()\n",
      "fig.set_size_inches(5,5)\n",
      "topauthorpub = pd.Series(map(lambda x : re.findall((\"(\\d+)\") ,x)[0] , topauthor['date'])).value_counts()\n",
      "topauthorpub.drop('19').sort_index().plot()\n",
      "#topauthorpub.sort_index().plot()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 153,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x11cd39050>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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q1UUBI6oiNBV9Nc33NlX6oil1aKKo1NAaGlpONOm3z5vdL71ZN4mqhiYz5ezc\nufVogRUrNJw9q09zbofXCM38pQOs20pUNDReJGpsFLcnMvTJ7ryCtDWrCC2tNbT8/HwMHToURUVF\nGDVqVKCTUBmh8amDeLSYrhGaTIdmNVqgrs5+kWGO1wjN/KUDvD8/rw7NaSieeZFhM3aLTzshMvQJ\nkP8dIQ3NREZGBjRNw6ZNm7B27dpAJ6FSQzOva6CiKJBuGhrQujAwfHjCMd0E1EVoTtfttSjglN5Z\nLTJstu31B040QrPKLIK0NauUM+01NOZnGWwLVEZofC60oLacIrQ4VDllamhA6wjNTT8DkheheSkK\nONlwq+IC3h1asiK0oClnVAkUoU2YMAE33HADlixZEugkVGposiI00ZTTi7bQ0AD88If6XGWivPkm\nUFJi/e/JJ+1ty0w5gdaFgdWrNcc+aEA8NDQ7G4C10zbbVhWhWc00YnXdhw8Dzz7rfrygRYGoamht\n/X7w448/Rl5eHnbs2IGSkhKMGjUKvXr1arHP1KlTkZ+fDwDo2rUrCgsLm0JVfkMSiQRycoDqag0r\nVwITJrR+P8h2eXkCubnN2xdckEB5uffjHTyoYfduAGj5fk5OAhUVrR+wyPE/+wx4/vkE/t//A/bt\nEzufV15J4OabgTNn9O0hQ/T333lHw5/+VIqZM60/v2OH9rUzEbtet+3qag260qBvb95c+vWICfvP\nnz4N1NaK29u5E+jdu+X7ubkJnDwpfr4VFQl06uTt+nJzdQddV9fy/c8/Bzp2bLk/h2936pRAZaW4\nvZqaBDp0cN//9GkNGzcCxvtbWlpqeb2//CUwYoSGjAzr4zU0AMePa/j734E+ffT3y8s1bN7c8vhO\n51NaWip8P4Nua5qG+fPnA0CTP7GFSeDBBx9kv/71r1u85vXQnToxduqUjLNpydy5jN13X/P26dOM\nZWd7P87QoYxt3Nj69eefZ+yBB/yd2xtvMAYw9oc/iO1fX6+f+1dftX5vxQrGEgn7z/7kJ4z97Gf+\nztOKt95i7Lbbmrf/8hdn+4wxVlXFWIcO4jby8hg7eLDla88+y9iMGeLHuOwyxj76SHx/xhibMoWx\nt99u/fqnnzI2apTzZ0tKGHv3XXFbHTvqbdKN554Tu+5XXtHb1N699vscOsRYz54tX3vsMcZ+/nP3\n40cBJ9/iK+Wsrq5Gxddx9fHjx7F8+XJMmjTJz6GaUFUtNKecfqcQEi0KeGHDBqBHD/2vCNu3A/36\nWXdYtuswjB0xAAAgAElEQVQbxpGdcpqLAiIaGh8ELZJiG8caGvEqGXgtCjjZUKGhiXSsdTonM/yZ\nOLUpq1Q+rTW0L7/8EuPGjUNhYSGmTJmChx56CP369Qt0IjIdmpOG5reTomhRwIu2sGEDcPfd4g5t\nwwaguNj6vbw84MABe9uyq5zmosC6de4aWps2ej+1ujr345tHCXCsqn1uGprXooBdX0XZGlp9vf7X\nrhuIEVHt8PBhvS04tSmrYktaa2jnn39+Uw4tC1XVwvJyfdVtI7xxmH/9nZDdD62hAdi8GfjNb4Bv\nflOPWtwmIXRyaF266B067c5TRZXTGKHV1rpHL0BzYcDNuR450jqKANT3Q+M2Dh1q/brb4HvAW3sQ\njc74OYlc95EjwLe/7T1CS/t+aLKRGaE59UMDvH8prNYT4JhHCoj2z+Hp44ABuqP54gv3z6xfb+/Q\nMjKAvn0TtosAy045zaMF+vd374cGiHfd4JGGGa/90FRXOa36oYn+MIsMe3I6J6vrPnxYd2jr19un\n9nYRWtr3Q5OJqlXIZTg0q/UEOH4dsTHaGjHCPe1saAC2bAGKiuz3cVrVXHbKaR4tIKKhAeJdN2RE\naF7XE3CzIVtDUxWhDR/u/CNJGloIhKWhAXKFZb/90IwOrbjY3aE5FQQ4bdtqtoUB2Skn0LIwsH27\nu4YGeIvQRB2a3T33up6Akw1ATEPz8sMcNEIz29a7Y+hSilObkuHQoqqhpaRDM2Ll0LwOUHdKW/xq\nf14dmpN+xune3b7SKTvlBFpGaHxYkBuiEZpdyumlSu2nIAA4O7RkaWgi180nbWzXzjnqt0o5SUOT\njMyigGwNzc2hedXQeEGAp4/Fxc6aByDm0EaNctbQZKacQMvCQI8ecjU0u5TTqkptd8/96GdAcA1N\nRYQmct1GR+UnQiMNTSIqIjTz1EEcmeMB/awrYE4f8/LcCwMiDs1pVXNVKacqDc0uQgPEn18Qh2a1\noLGohib6wyw67Ml4Xk7XbXRUdj+Sdv37SEOTjMyiAM/vzVMHcWRGaOYpY0S0BSvn5PSLao7o7Dh+\nXAutygm0jND27dNCidCA1s/P7p77dWh26Z3sfmiiA9M5btdtjNDsfiTNawlwSEOTjIoIzSrdBOT3\nNvd67lYOzUnzECkIAOFraMaIsLbWXV8CxCI0uyiCI/r8/IwSAOw7X4toaF5+mFVGaID1j6RdsYUi\nNMmo6Icmy6G5/dIb0wwRbcFrhCaSbgLA9dcnHFNOFRoajwizsuRpaHajBDjm5+ekofkpCljZANRo\naEEiNLNts7Oy+pG0KggA3osCpKG5oGKkgEyH5vTF8PKrbJc+OhUGRB2acbSAGdUpp0wNzSndBNRr\naHY2RK7Ra5XTS4TWrZu1tscxOysvEVqHDvr5eFlsOIpEyqHJ1tDMkztyVERo/NzdtAW79NGpMLBh\ng/5r68bq1ZrtIsAqHJpxtMCxY/I0NKeCANBatJetoXEb5jZiVRQw2/ayroBsDc0u5TT+SNpFaG08\nLjZMGpoLKkYKhJlyip67U7Rl9YsqWhDg2I0WUNFtwzhaoK5OTEPLykrtCC0jQ2/LItmGl24bdudk\nxOys8vL0yQCMP5J2ERqQGjpaZBxamBqa00IYVngpCrhpC14dGo/oRL6YiUTCdhohFd02gObCwNmz\nYhqaSBTg9KUDxDU0v0UBKxuAdVHAyrboj7NXXdPpuo2jBIyY25TTvfWio5GG5kKYVU6vUwh5KQq4\n4eTQRozQdTTR/a2wSjkZU5NyAs0RmqiGJiPlFB3pEaQoYGVD9BpF27LMCM04SsCI2aHZpZyA9861\nUSRSDk1WUcCooVk5NMBb2umlKOCkLbilj1aahxeHpmmaZYTW0ABkZur/ZMPtVVaKaWgqigJR0tAA\ncYcWNEIz2rZzVOZKp6yUkzQ0F7Kz9QfsZZFWN2Q6NBkamlt/MqvCgGhBgGPl0FSlm4B+zvv36064\nfXv3/WUVBaKqoQHiP84yIzQ7R2X8kXTr30camkT8LNJqh5uGBnhzaLI0NJFoy5giiEwZZCSRSFim\nnKrSTUD/Eu3Zoy8eIjKrhYoITfZYTisbfJFhs9O2sh1WhGa0bRehGQsDdqMEOKShSUa2jubk0LzM\nuCErQvPq0LZvB/r29faltIrQVFQ4OXl5ukMTiVwA9wjNLYoA1I8UsLJhtciwHaJFgTAiNKC5TbkV\nW0hDk4wsh8bz+5Mnw0s5RcZyijo0XhjwWhDQNOt+aCpTzt69gb17gYwMTWh/twjNbZQA0HqspZOG\nJmukgN3A9DA1NKfrFnFoTgUBgDQ06cgeLZCMooAdov3JjJqHV4cG6KMFGhpano/qlNNuenIr3CI0\nt3QTEK9SB005jZ13RfUzQF2V0+m6nZwVLwyIRGikoUlEVoTGF1OtrrYX4EUdGl9PwKkxi2hoogPM\ne/duLgx4LQgkEolWU2MDalPOzp31L+U3vpEQ2t8tQnMrCHCMzy8MDc1uYLqdhibyw+xnfK3ddYum\nnE73ljQ0ycgcLWA3dRDHiw7jNo2ziCP2Em0VFwNr1ngrCBgxp50qU07uQGVpaCIRGuD+/PyuJ8Ax\np3dRiNAA++t2itB4YeBvfyMNzZbGxkYUFRWhpKRE2snI1NCc0k1AbulfZCynV4f21lveCwLctrkw\noDLlBPQvTE2NJrSvSITm1aFZ3XO/6wlwzOmdFw3Ny0iBIA6N27YbJWCkuBjQNHkpZ8ppaHPmzMGg\nQYOQ4bfFWCCzyhm2Q3NLMbw6tKVLvetnHHOEpjLlBPQviejx3SI0PymnFUEKAlY2VEVoQVJOjt0o\nASPFxXrEKqsoEFV8ObSDBw/igw8+wL333gvmNBG+R2QVBRKJhFSH5vbFMP4iW2kLXgeYFxfrfZ68\nOjRu22oRYJURWu/eQH5+QmhftwjNT8ppdc+D6GdWNrxqaCojNF6s4LbdqpdAsxbrdG/TVkN78MEH\n8eyzz6KNnUDlk7hGaB07Oq8rwPuTuRUEOL176/+8FATMnzdHaCodWp8+4tGQ22wbhw6JR2hOc4Od\nPi3foUU1QhNJ04uL9aFvTmlpKmhoDr19rHnvvfdw7rnnoqioyDWPnjp1KvLz8wEAXbt2RWFhYZNn\n5581bh89Cpxzjv37otuapmHNGp7aWO+/dauGsjL79/l2ZWUCnTo528vIAM45R8OyZfoXm58Df3/D\nBqBfPw2aJn49Tz+tfe0gxa+/tLQUM2bMQF6evk4mt1dXB5w65c2+l+3vfheYM2c2NM35+QLA6NEJ\n1NZav9/YCOzalcDAge72T55sfn7GdsjfX7xY+/oHxP/11dcD5eX6dmmp9rUjabk//4zx8126AIcO\nud/vykp9pl8v59etWwIHD7Z83vqPl7O9nTs1vPEG0Lat/fE//xyorhY7n9mzZ7t+n2Vta5qG+fPn\nA0CTP7GFeeTRRx9lffv2Zfn5+axXr14sOzub3XHHHa3283Fo9utfM3bPPZ4/1opVq1axX/yCsUce\nsd/n7FnG2rZlrK7O+Vi//S1jt9/ubrN3b8b279dtm/n+9xl7/nn3YwSF296+nbEBA5pfl3VfRWy7\n0djIWEaGfv/N/N//MVZQIGbvtdcYu+sue9sy7vn06Yy9+KL+///4D8Yeeqj1Pla29+9nrE8f9+Nn\nZjJ25oy3c3r99dbX/eSTjP3kJ96OY8XSpYxddZXYvqLPWwVOvsVzzvjUU0/hwIED2Lt3LxYtWoQJ\nEybgt7/9rdfDWCKzH5pbyim7cybX/6y0BT8dZP3AbVsVBVSmnEbbbrRpo3chqKtr/Z6X+2Qcuqbq\nnhtt2KWcVrZF5Iz6ev2vk5BvhZV2KFoZdiNtNTQjsqucskYKuDk0QKzhiVbL7Er1XgsCMuCjBfi9\nDMOhecGuMODFCTk9O1n3XKQoYEXHjrrDcppA1O+iNVbXLVIUECFtq5ycK664AkuWLJF1LqH2QwPE\nHZpohFZR0bp/zo4dYiMEZMBtm0cLqO62YbQtgl3XDS8jI5z6oYmOyvBiwy5Cs7pukejfT6da8zlx\n27IiNC9FAS/PO0xSdqSAiEMTmXFDdMYGO2e8fn046aYZ85qZUY/QvE6V5PRjJCvFN9oQWTVd9PwA\nitBUESmHJlNDc5ppg6MiQjNrC2HpZ0BL28a+aFHS0ADrCM3rVElO/dBUODQvGpr5s1bIiNASiQQa\nG91HCYjixaGlrIYmkzD7oQHyHZqV/hemQzNiLAyEkXJ6wSpC83qfzGMtgxzLDmNfNy8aGv+sigjN\nfN0iowRE8brYcBSJnEOTURSQraF5KQoYtYWwCwJG28YILYyUM6iG5tUJGXUqVffcr4Zm/qwVfiM0\n83WLDhUTwctiw6ShCSBrXYHGRuepgzgqUk4jYRYEzJiLAlHX0LxOlQRYPz9ZBQHz8aOioZmPLasg\nAHhfbDiKRMqhyVpXYNiwhOPUQRwRh+a1KGDUFsIuCBhtG4sCYaScQTQ0rwUBDn9+RtsyU3xjehcV\nDc147EQiIa0gwBHV0UhDE0SGjiaSbgLqI7Rk6WdAywgt6lVOP2snANbPT+Y9N6Z3KjS0oA4NkBuh\nAfHX0VLSoa1YoSXFoVVWttQWwnZoRtvmCC1qGprRofm9T/z5qbzn3IYKDS1oyqlpmvDsJKKI9kUj\nDU0QGYWBykq5EZqfkQLJGCFgxDhaIIpVTmPKGdShcVTcc25DhYYWJELj1VeZRQEg/n3RIunQgkZo\n/folpDg0kfUEOGYNLRkFAaOuYRwtEEbK6VVDM0dofqZK4l9sbltmQcBowylCC6KhBY3QEomE9JST\nNDTJyBgtIEtD8zKNs9kRJ2uEgBGedkatymksCvgtCACtn5+KFD83V++4arXIsJdzMyOjKADIGyXA\nIQ1NMjIitA0bNHTr5r5fTo7+ZbcbROxl1lPzWM5kFATMugaP0KKmoRmLAn4LAkBrDU2VQzt0yH6R\nYbvr7tbNeQLKIN02+JC9lSs1aaMEOKShSUaGQxPV0NwGEXt1aEbtL5kVTg6P0IJ8eVRgjNCC3Cfz\nWFwV97xbt2aH5oUwIrTycnmjBDikoUlGRlEgJ0dMQwOcG56XhTZ4qpxIJJJWEDDrGny0QNTGchoj\ntCBOyKglqbrnubnAwYP2Ds3uut2mEJLRsTY/PyE13QRIQ5OOjAhNZGA6x2nGDS8RmnFdgWSOEDAS\nZsrpBXOE5nftBOOPkYqCALdx6JC3PmiAe/QvI0KTXRAASEOTjoyiwN69Yv3QAOcITXSUANA8ymHZ\nMi1pBQGzrhFmyulHQwtSEABaamiqUnyjhmaF03U7tS0ZEZqmaUoiNNLQJCIjQquoEI/Q3FJOL2J1\np076r1sU9DMg+hFakIIA0PLZqXRoX37pXUPjn1UZoZ04IT9CIw1NMjIcWn29PA3Nq0MbMiSRNIdm\n1jXy8vToIqoaWtD7xMdajh2r7p7n5gKMedfQ+GdVRGj8ujMyEklzaKShCSKjKCDaDw2QVxQA9H3L\ny5M7QsBIly76zCOZmfq/qMAjtKBOiOtUx4+ru+e8HUUpQuPXvW2b3D5oAGlo0gkaoTU0AFVVmrA4\nLDtCW7BAS1pBwKxr8NECYaSbfjS0IAUBTm4u8Oqr6u45d2h2RYFkaGj82Fu2aEmL0EhDEyRoUeDU\nKf2huE0dxJFVFAD0fUtLo6GfcfLyoqWfAXpkUlkZrCDAyc1Vq1nm5OjRbZQiNH7s2lr5EVrcV0+P\nnEMLGqGVlwPnnpsQ3l92hLZ9eyJpDs1K1+jdO5xOtV41tKAFAU5urtp7npGh24iShsaPnZGRkDpK\nAEhTDa22thajR49GYWEhxowZg1mzZkk7IRkOTVQ/A+Q7tPJyitDcyMrSO53Kmvf/88/V3nMnh+b2\nOZUR2rnnyh0lAKSphtahQwesWrUKpaWlWL16NV5//XXs2bNHygkFLQroDUgT3l92UQDQklYQsNI1\noqqhAfIcmup7npurRkML6tA6dbK37Ze01dCyv/7JqqysRENDA86R9K0Juq5Aebk3JyQ7QovCCAEj\nYaWcXuBf5KAFAUB/fqrvuaoILWjK2b27/8/bEXcNra3fD549exZFRUXYtm0bZs+ejX79+kk5IeO6\nAl262O/3m98Af/hD69f37we++c2EsL1u3fSOkyUlrd/bssXbF6VLF2DcOHHbsrHSNfr0CRYJBLFt\nR3a2LrTLiKq6d1d/z3v0sP+RdNPQ7GbcCJpy9ugBDB1qb9svcdfQMhhjLMgB9u3bh2uvvRbvvPMO\nigwtNCMjA3fddRfy8/MBAF27dkVhYWHTjeAhq9V2nz7A7NkavvEN6/cBYOxYDRddBNxyi769ZYv+\n/pAhCRQVAXv22B/fvL16NfDxx82f58dr2xZ46KEEMjOdP8+3KyuB4mJ9wLDI/mFsjxuXwN69wMGD\n0Tgfvv3b32ro3z/48QoLE6ipAXbuVHe+Bw/q7SEry9vnv/xSbz8HD7Z+PzNTw/LlwMSJ/s7v/fc1\n1NUBN90k93oHD07gkkuAP/xBzvFkbGuahvnz5wMA8vPzMXPmTNi6LSaBhx56iM2bN6/Fa0EOXVDA\n2PbtzvsMH87Y2rXW761atcq37aCQbbLNqahgLDu79etnzjCWmanWtl+qqhjLykqObVGcfIsvDa2s\nrAynTp0CAJw4cQJ//vOfcf311/s5lCUihQHZi0MQhGzsphCK2vx0RrwsNhxFfKWcW7ZswV133YXG\nxkb06tULt99+O+68886WB87IsA8LXZgwAXjiCf2vFY2Nzb3N2/pWAQlCPeeeq2uxxv5ix44Bgwfr\nQ7aiSHa2fm5ep0wKCyff4ssdDBkyBBs3bgx0Uk64jRY4dkwXg8mZEVGHVzqNDi3KERrQXBiIqkNz\nInIjBQD3zrVuS3cls48M2SbbRqy6bgStcIra9otI59qU64emEhGHRvoZEQesHFocIrS49kWLrENz\nKgq4FQSS2UeGbJNtIyojNFXXLdIXLZn33InIOrQgKSdBRIW4RmhxHc8ZSYfmVhRwi9CirKmQ7fSy\nTRpauETSoVGERqQKcY3QSEOTSNCiQJQ1FbKdXrZJQwuXyDq0IEUBgogKKh2aKkhDk4xThNbYqPdi\ndpqpM8qaCtlOL9sqU07S0FoTSYfmVBSgUQJEnLCaQogiNHVE0qE5RWgiBYEoaypkO71sq4zQVGpo\nbkUB0tA84ObQSD8j4gJpaOESWYdmVxQQKQhEWVMh2+llm69ybpxCiDQ0dUTSoTmtK0B90Ig4wZfB\nM0ZpFKGpI5IOzbiugBmRlDPKmgrZTj/bZodGGpo6IunQAHsdjfqgEXGDIrTwiJ1DE0k5o6ypkO30\ns60qQiMNrTWRdmhWKSdFaETcoAgtPCLt0MwRWkOD+ygBIPqaCtlOL9ukoYVHZB2a1WgBGiVAxBGK\n0MIjsg7NKkITTTejrqmQ7fSyHTcNTcShkYbmESuHRn3QiDgStwhNpCgQVXw5tAMHDmD8+PEYPHgw\nEokEFixYIPu8LIsCohFa1DUVsp1etq0cWpQ1NJHFhqOqoflSo9q1a4dZs2ahsLAQZWVlGDVqFEpK\nStCpUydpJ0YRGpEqmGfcqK2NdoTWpk3zQt5xW5vTV4TWq1cvFBYWAgB69OiBwYMHY/369VJPzKoo\nIDowPeqaCtlOL9uqUk6V1+2mo6WshrZnzx5s27YNo0aNknE+TQQpChBElFBVFFBJXHW0QB0gKioq\nMHnyZMyaNQsdLWLTqVOnIj8/HwDQtWtXFBYWNuXe3MPbbR84oOGzzwCg+f2dO4G8PPfPJxIJ1+On\n6jYnbPv8tWRcf9Sfd24uUFamQdOAyy7T3//4YznH58h/nhpWrQKmTrV7P7znrWka5s+fDwBN/sSO\nDMYYc9zDhvr6elx33XW49tprMWPGjNYHzsiAz0MDAN5/H5g7V//LycsD1q8H+vTxfViCCB3GgPbt\n9c6qdXV6O3ZaMyMKFBcDr7wCjBiR7DNpjZNv8ZVyMsZwzz334NJLL7V0ZjIwp5wNDUBZmfsoASD6\nmgrZTi/bximEZHbZUHndaaWhffzxx3j77bexcuVKFBUVoaioCMuWLZN6YuaiAI0SIOIMd2hx0M+A\n+GpovlNO1wMHTDl37wauuQbYs0ff3rAB+O53gY0bJZ0gQYTImDHArFlAt25ASQmwa1eyz8iZm24C\nvvMd/W/UkJ5yhoE55aQ+aESciVuEFtfV0yPt0IzCqZfFUaKuqZDt9LNNGlo4RNahmdcVOHKEIjQi\nvsQtQourhhZZh2ZeV8BLhGbsKxM2ZJtsW6EiQlN53W4RWjLvuRORdWhASx2NRgkQcSZuERppaAow\nOjQvRYE4aCpkO71sk4YWDpF3aH5SToKIGkaHFocIjTQ0BfAIzcsoASAemgrZTi/bfAohmVMHkYbW\nmkg7ND5agEYJEHFHRcqpEtLQFMAjNK8FgThoKmQ7vWyrKAqQhtaaWDg0GiVAxJ24RWhx1dAiO5YT\nAH70I+Dcc4HOnfVpg159VdLJEUTI8CmE7r8fOO884Ic/TPYZObNhA/C97+l/o0Ysx3ICLVNOitCI\nOMOnEDpyJB4RGmloCuBFAa9dNuKgqZDt9LOdm6u3ZdLQ1BFph2bU0KgPGhF34hahkYZmPLAEDW3R\nImDxYn1OtJdfBkaOlHRyBJEErrkGWLkSWLgwmvOMGamuBnr0iKZTi7WGVllJERqRGuTmAmfOxCNC\nE1lsOIpE3qGdOuVtlAAQH02FbKeX7dxc/W8cNLQ2hsWGw7YdhEg7tJwcPd2kUQJEKsAdWhwiNCCe\nOlqkNbTdu4EBA4CiIlpLgIg/zz+v9z/btAkoLEz22bhz3nnARx/pf6NErDU0gPqgEakBRWjqiYVD\n81oQiIumQrbTy3acNDTAuXNtSmlo06ZNQ8+ePTFkyBDZ59OC7Gy9h7XXCK20tFTNCZFtsh3AtuwI\nTfV1O0VoybznTvhyaHfffbf0hYWtyMjQCwNeI7RTp06pOSGyTbYD2JYdoam+bqcB6sm85074cmjj\nxo1DLn86iunUifqgEakBaWjqiXxniC5dvDu0ffv2KTkXsk22g9ju1k2fcaNdu/Bt+yEnB/j3fwfe\nfLP1e6Wl+5TPxPHAA8DEid4+47vbxr59+1BSUoItW7ZYHzgjw89hCYIgXLFzW8oiNEXd2wiCIGyJ\ndLcNgiAIL/hyaLfeeivGjh2LXbt2oV+/fnjTKskmCIIIGWGHZux7tnDhQhw+fBibNm3CsGHDMGfO\nHJSUlGDHjh0AdH0tKysLRUVFKCoqwr/8y780Hefxxx9H//790Yn3mvVom7N9+3Z8+9vfRmFhobDt\nhoYG/Nu//RsGDBiASy65BP/zP/8j1TYA7NmzB+PHj0dBQQGGDh2Kurq6Fsf7x3/8R+H+e15sv/PO\nO03XXFRUhMzMTGzevBkAsGPHDgwfPhwXXHABHn/88VBtJxIJDBw4sOm9srIyqbYZY3jggQdQXFyM\nsWPH4rXXXmv6jOq25mRbdVtjjOHJJ5/EiBEjUFhYiHXr1km/7p07d+L222/HoEGDMGXKFNQYRqq/\n8MILuPjiizFo0CD89a9/DWRbKkyQjz76iG3cuJFdeumlTa9NnjyZ/dd//RdjjLEFCxawKVOmMMYY\n27t3b4v9jKxZs4YdOXKE5eTkiJqWZvvFF19k9957LysvL2eMMVZWVibVNmOMXXbZZez3v/89Y4yx\nkydPssbGxqb3/vu//5vddtttbMiQIdKv28iWLVvYRRdd1LR9zTXXsEWLFrGysjJ22WWXsXXr1oVm\nO5FIsA0bNghcrT/bS5cuZddddx1jjLHTp0+z8847r+n5qm5rTrZVt7Xly5ezG264gZ05c4bt3buX\nffOb32z6jKzrvvXWW9nvfvc7xhhjTz/9NHvhhRcYY4x9+eWXrKCggH3xxRdM0zRWVFQUyLZMhCM0\nq75nXbp0wYkTJ3D27FmcOHFCqG/aqFGj0KtXL09OV5btZcuW4cc//jG6du0KAOjevbtU28eOHUNG\nRgZuvvlmAEBubi7atNFvcWVlJWbNmoUnnnhCuGDi97oXLFiAKVOmNG3v3LkTkydPRvfu3XHTTTdh\nzZo1odkGvBeIvNju3LkzqqurUV1djVOnTiEjIwPZ2dkA1Lc1J9uq29rKlSsxadIktGvXDvn5+cjI\nyEDV1+OUZF23pmkoKSkBoGcWH3/8MQBgzZo1mDRpEvr3748rrrgCjDFUVFT4ti0VL97PHP189dVX\nrKCggHXu3JkNHDiQnT59umm/jh07smHDhrHvfe97rLS0tNWxvHrwoLZra2tZXl4ee/DBB1lxcTF7\n4okn2IkTJwLbLigoYBUVFYwxxt566y1WUlLCJk6cyK688kq2YMGCps/MmDGDvfvuu2zfvn22EWSQ\n6zZy4YUXsm3btjHGGNu9ezcbM2ZM03tLly5l3/nOd0KxzZgeoQ0ePJhNnDiRzZ8/X8iuV9uPPvoo\ny8nJYW3btmXLli1rdSxVbc3OdhhtbeXKleyqq65i5eXlbP369axdu3Zs5cqVUq/7zjvvZPPmzWO1\ntbXs4YcfZv369WOMMfb444+zl19+uWm/yZMnsxUrVgSyLYtAVc5p06bhBz/4AU6cOIH7778f99xz\nDwCgd+/eOHDgAEpLS3HDDTfgjjvukOJ8g9jmv3AXXnghPvnkE9TX1+Oll14KbHv69OmYNm0aAKC2\nthaffvopXnnlFbz99tt4+umn8cUXX6C0tBSff/45rr/++sDdWeyum7NmzRpkZ2dj0KBBAFpHR0Hs\ne7UN6Pra1q1b8dprr+FXv/oV1q9fL9X2e++9h3Xr1mH//v3Ytm0b7r33Xpw4ccL3NQa1ffLkyVDa\nWiKRwKRJk3Dddddh5syZGDlyJM455xxp1wwAM2fOxNatWzFmzBg0NjYiy2GIQ2T6nXrxfmYP3rNn\nT1ZdXc0YY6yiooL17NnT8nNFRUVs9+7dLV4L+uvhx/bIkSNZZWUlY4yxbdu2tYhcZNjeunUru/nm\nmwtzFwEAAALZSURBVJv2e/jhh9nLL7/M5s2bx3r37s3y8/NZ3759Wfv27dn48eOVXPeMGTPY008/\n3eK1888/v+n/zz33HHvppZdCs21kzpw57LHHHpNq+0c/+hGbN29e037//M//zJYuXdriWKrampNt\n1W3NTEFBQQu9lrHg123kgw8+YD/4wQ8YY4wtWbKE/eu//mvTe8OGDWsVrccyQhs/fjyWLFkCAPjj\nH/+If/iHfwAAlJWVobGxEQCwceNG1NTU4KKLLgroeoPbHjNmDN577z0A+q/rRK/jKlxsX3LJJdi+\nfTvKy8tRVVWFVatW4corr8T999+PQ4cOYe/evfjrX/+KAQMGYOXKlVJtA3oU+vvf/76VhjVw4EAs\nWrQIZWVlWLx4MUaPHh2K7cbGxqaq5unTp7F48WJce+21Um1feeWVWLZsGc6cOYOysjKsX78el19+\nuS8bMm2rbms1NTWoqqpCQ0MD5s6diyFDhjTptbI4fvw4AODQoUOYO3curr76agC6TrZ8+XLs378f\nmqahTZs2yatqmhH1fFOmTGF5eXmsXbt2rG/fvuyNN95gW7duZVOmTGFDhw5lt912G9uxYwdjTK/m\nDR48mA0bNoz90z/9E1u9enXTcX70ox+xvn37sszMTNa3b182c+bM0GwfPXqUXXnllWzw4MHsvvvu\nY0ePHpVqmzHGFi9ezAYNGsTGjBnDXnzxxVbH27t3r3CV06vtVatWtah2cbZt28aKiopYfn4+e+SR\nR0KzXVVVxYqLi9nQoUPZ5Zdfzp555hnpthsaGthjjz3GRowYwb71rW+xt956q+k4qtuak23VbW3v\n3r2soKCAXXTRRaykpIQdO3ZM6nW//vrrbM6cOWzAgAHs4osvZr/4xS9a7D979mx24YUXsksuuYR9\n9NFHgWzLRNkU3ARBEGFDQ58IgkgZyKERBJEykEMjCCJlIIdGEETKQA6NIIiUgRwaQRApw/8HxUyE\nsgetucoAAAAASUVORK5CYII=\n"
      }
     ],
     "prompt_number": 153
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Plot the books by access rights\n",
      "rights = dfnondigitized['rights'].value_counts()\n",
      "figure(1, figsize=(6,6))\n",
      "labels = 'Public Domain', 'Public Domain US'\n",
      "explode=(0, 0.05)\n",
      "pie(rights,labels=labels, explode=explode,autopct='%1.1f%%')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 97,
       "text": [
        "([<matplotlib.patches.Wedge at 0x112ec8650>,\n",
        "  <matplotlib.patches.Wedge at 0x112ec8c10>],\n",
        " [<matplotlib.text.Text at 0x112ec8a10>,\n",
        "  <matplotlib.text.Text at 0x112ecc090>],\n",
        " [<matplotlib.text.Text at 0x112ec8ad0>,\n",
        "  <matplotlib.text.Text at 0x112ec8b90>])"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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aYcMiOXx4T76Fe+HCBTrGdGTomKFkPp2JrZUUrrhHJqh4X0W1U+TJ5SddgMqV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\nA/Fd2J+JOsDaAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 97
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#top five languages in which the books are available\n",
      "lang = dfnondigitized['language'].value_counts()\n",
      "dflang = pd.DataFrame(lang)\n",
      "lang[:5]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 121,
       "text": [
        "eng    107510\n",
        "fre      2947\n",
        "ger      2703\n",
        "spa       652\n",
        "ita       584"
       ]
      }
     ],
     "prompt_number": 121
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Statistics various types of books available\n",
      "typedata = dfnondigitized['type'].value_counts()\n",
      "typedata"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 155,
       "text": [
        "Text                                                            113133\n",
        "Collection                                                        3024\n",
        "Authors' presentation copies (Provenance) rbprov IU-R              141\n",
        "Three deckers. rbgenr                                               60\n",
        "Publishers' cloth bindings (Binding) New York (State) New York 20th century. rbbin        49\n",
        "Publishers' advertisements. rbgenr                                  33\n",
        "Historical fiction. gsafd                                           22\n",
        "Mystery and detective fiction Great Britain. rbgenr                 19\n",
        "Periodicals. rbgenr                                                 18\n",
        "Publishers' cloth bindings (Binding) Illinois Chicago 19th century. rbbin        17\n",
        "Publishers' cloth bindings (Binding) New York (State) New York 19th century. rbbin        17\n",
        "Juvenile literature. rbgenr                                         15\n",
        "Bookplates (Provenance). rbprov                                     15\n",
        "Author's presentation copies (Provenance). rbprov IU-R              13\n",
        "California, Southern Imprints Specimens. local                      13\n",
        "...\n",
        "Gilt edges. rbbin                                               1\n",
        "Juvenile literature Vermont Woodstock 1823. rbgenr              1\n",
        "Short stories. gsafd                                            1\n",
        "Unopened books (Binding). rbbin                                 1\n",
        "Presentation inscriptions. rbprov                               1\n",
        "Annotations (Provenance) 20th century. rbprov CLUW              1\n",
        "Guidebooks Washington (State) Seattle 20th century. rbgenr      1\n",
        "Travel literature Canada 19th century. rbgenr                   1\n",
        "Headpieces (layout features) 16th century. aat.                 1\n",
        "Publishers' copies (Provenance) rbprov.                         1\n",
        "Publishers' paper bindings (Binding) Indiana Indianapolis 20th century. rbbin    1\n",
        "Ink stamps (Provenance). rbprov                                 1\n",
        "Political fiction. lcsh                                         1\n",
        "Devotional literature. rbgenr                                   1\n",
        "Religious fiction. lcsh                                         1\n",
        "Length: 218"
       ]
      }
     ],
     "prompt_number": 155
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}