Lab1_Zipf.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "contents = open('data/LEE, Harper - To Kill A Mockingbird.txt').read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"      Lawyers, I suppose, were children once.                      \\n                                                Charles Lamb                \\n                                                                            \\n\\n                               PART ONE                                     \\n                                  1                                         \\n                                                                           \\n  When he was nearly thirteen, my brother Jem got his arm badly broken      \\nat the elbow. When it healed, and Jem's fears of never being able to        \\nplay football were assuaged, he was seldom self-conscious about his         \\ninjury. His left arm was somewhat shorter than his right; when he           \\nstood or walked, the back of his hand was at right angles to his body,      \\nhis thumb parallel to his thigh. He couldn't have cared less, so            \\nlong as he could pass and punt.                                             \\n  When enough years had gone by to enable us to look back on them,          \\nwe sometimes discussed the events leading to his accident. I                \\nmaintain that the Ewells started it all, but Jem, who was four years        \\nmy senior, said it started long before that. He said it began the           \\nsummer Dill came to us, when Dill first gave us the idea of making Boo      \\nRadley come out.                                                            \\n  I said if he wanted to take a broad view of the thing, it really          \\nbegan with Andrew Jackson. If General Jackson hadn't run the Creeks up      \\nthe creek, Simon Finch would never have paddled up the Alabama, and         \\nwhere would we be if he hadn't? We were far too old to settle an            \\nargument with a fist-fight, so we consulted Atticus. Our father said        \\nwe were both right.                                                         \\n  Being Southerners, it was a source of shame to some members of the        \\nfamily \""
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "contents[2000:4000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['1960',\n",
       " 'to',\n",
       " 'kill',\n",
       " 'a',\n",
       " 'mockingbird',\n",
       " 'by',\n",
       " 'harper',\n",
       " 'lee',\n",
       " 'copyright',\n",
       " '(c)']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_dummy = re.sub('[\\,\\.\\;\\n\\\"\\?\\!]+', ' ', contents.lower().replace(\"\\'\", '')).split()\n",
    "cleaned_dummy[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from collections import Counter\n",
    "word_cnt = Counter(cleaned_dummy).most_common()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('the', 4080), ('to', 2547), ('and', 2415), ('i', 2358), ('a', 1913)]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word_cnt[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x117097ed0>]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DXNfIRUREOhfTQW6ztDfPq6F1ERGRa4rpIDcMA5vVpMluIiIi1xHTQQ7tw+saWhcREbk2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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114bdcc10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot([x[1] for x in word_cnt[:100]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [Root]",
   "language": "python",
   "name": "Python [Root]"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}