babypython.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Python and Friends\n",
    "\n",
    "This is a very quick run-through of some python syntax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# The %... is an iPython thing, and is not part of the Python language.\n",
    "# In this case we're just telling the plotting library to draw things on\n",
    "# the notebook, instead of on a separate window.\n",
    "%matplotlib inline \n",
    "#this line above prepares IPython notebook for working with matplotlib\n",
    "\n",
    "# See all the \"as ...\" contructs? They're just aliasing the package names.\n",
    "# That way we can call methods like plt.plot() instead of matplotlib.pyplot.plot().\n",
    "\n",
    "import numpy as np # imports a fast numerical programming library\n",
    "import scipy as sp #imports stats functions, amongst other things\n",
    "import matplotlib as mpl # this actually imports matplotlib\n",
    "import matplotlib.cm as cm #allows us easy access to colormaps\n",
    "import matplotlib.pyplot as plt #sets up plotting under plt\n",
    "import pandas as pd #lets us handle data as dataframes\n",
    "#sets up pandas table display\n",
    "pd.set_option('display.width', 500)\n",
    "pd.set_option('display.max_columns', 100)\n",
    "pd.set_option('display.notebook_repr_html', True)\n",
    "import seaborn as sns #sets up styles and gives us more plotting options"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##The Python Language\n",
    "\n",
    "Lets talk about using Python as a calculator..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1+2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice integer division and floating-point error below!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 0.5, 9.600000000000001)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1/2,1.0/2.0,3*3.2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is how we can print things. Something on the last line by itself is returned as the output value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.0 \n",
      "1.66666666667\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print 1+3.0,\"\\n\",5/3.0\n",
    "5/3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can obtain the type of a variable, and use boolean comparisons tontest these types."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.833333333333\n",
      "<type 'float'>\n"
     ]
    }
   ],
   "source": [
    "a=5.0/6.0\n",
    "print(a)\n",
    "print type(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import types\n",
    "type(a)==types.FloatType"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(a)==types.IntType"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Python and Iteration (and files)\n",
    "\n",
    "In working with python I always remember: a python is a duck.\n",
    "\n",
    "What I mean is, python has a certain way of doing things. For example lets call one of these ways listiness. Listiness works on lists, dictionaries, files, and a general notion of something called an iterator.\n",
    "\n",
    "But first, lets introduce the notion of a comprehension. Its a way of constructing a list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 4, 9, 16, 25]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alist=[1,2,3,4,5]\n",
    "asquaredlist=[i*i for i in alist]\n",
    "asquaredlist"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Python has some nifty functions like `enumerate` and `zip`. The former gives a list of tuples with each tuple of the form `(index, value)`, while the latter takes elements from each list and outs them together into a tuple, thus creating a list of tuples. The first is a duck, but the second isnt."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<enumerate at 0x1099b3be0>, [(1, 1), (2, 4), (3, 9), (4, 16), (5, 25)])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enumerate(asquaredlist),zip(alist, asquaredlist)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Someone realized that design flaw and created izip."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<itertools.izip at 0x1099cdb00>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from itertools import izip\n",
    "izip(alist, asquaredlist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<enumerate object at 0x1099b3d70>\n"
     ]
    }
   ],
   "source": [
    "print enumerate(asquaredlist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0, 1), (1, 4), (2, 9), (3, 16), (4, 25)]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[k for k in enumerate(asquaredlist)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Open files behave like lists too! Here we get each line in the file and find its length, using the comprehension syntax to put these lengths into a big list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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67, 28, 2, 10, 21, 2, 10, 39, 2, 10, 19, 2, 10, 62, 65, 63, 29, 2, 10, 8, 2, 10, 60, 31, 2, 10, 64, 2, 10, 60, 63, 61, 67, 2, 10, 65, 2, 10, 31, 2, 10, 24, 2, 10, 7, 2, 10, 22, 2, 44, 2, 10, 60, 61, 62, 61, 9, 2, 22, 2, 19, 2, 40, 35, 49, 43, 2, 6, 62, 15, 2, 6, 52, 2, 6, 63, 8, 2, 10, 10, 38, 36, 39, 35, 2, 22, 2, 6, 61, 64, 63, 64, 15, 2, 6, 20, 2, 6, 61, 67, 57, 20, 2, 6, 14, 2, 6, 61, 65, 64, 62, 7, 2, 10, 10, 36, 33, 36, 32, 2, 28, 2, 6, 61, 66, 65, 65, 65, 64, 65, 65, 64, 65, 65, 66, 11, 2, 6, 26, 2, 6, 39, 2, 6, 37, 2, 6, 63, 54, 2, 10, 12, 10, 36, 32, 2, 6, 50, 2, 10, 67, 36, 2, 6, 62, 52, 2, 10, 59, 2, 6, 32, 2, 10, 18, 2, 6, 18, 2, 10, 19, 2, 6, 27, 2, 10, 60, 2, 6, 58, 62, 64, 66, 57, 2, 10, 60, 39, 2, 6, 25, 2, 10, 60, 64, 15, 2, 6, 42, 2, 10, 59, 47, 2, 6, 6, 2, 10, 66, 2, 6, 18, 2, 10, 27, 2, 6, 16, 2, 10, 35, 2, 6, 19, 2, 10, 61, 15, 2, 6, 50, 2, 10, 60, 66, 64, 16, 2, 6, 27, 2, 10, 61, 67, 67, 38, 2, 6, 15, 2, 10, 61, 2, 6, 18, 2, 10, 60, 61, 27, 2, 6, 7, 2, 10, 12, 2, 6, 64, 65, 67, 64, 65, 64, 65, 60, 61, 67, 20, 2, 6, 23, 2, 6, 64, 2, 6, 10, 2, 6, 20, 2, 26, 2, 6, 19, 2, 6, 55, 63, 23, 2, 6, 50, 2, 6, 62, 61, 66, 63, 50, 47, 45, 51, 52, 50, 2, 59, 66, 2, 52, 47, 47, 42, 27, 2, 26, 2, 7, 21, 2, 6, 18, 27, 2, 7, 21, 2, 11, 41, 48, 50, 47, 48, 54, 43, 46, 21, 2, 7, 29, 2, 11, 18, 43, 40, 27, 2, 7, 25, 40, 52, 40, 26, 2, 6, 25, 2, 8, 32, 23, 51, 53, 33, 2, 7, 15, 43, 44, 47, 48, 25, 45, 45, 42, 18, 2, 6, 14, 24, 48, 52, 41, 18, 25, 2, 7, 26, 23, 2, 6, 24, 46, 43, 39, 45, 2, 7, 21, 2, 8, 17, 2, 6, 14, 2, 6, 25, 2, 61, 2, 6, 44, 38, 2, 8, 23, 2, 6, 42, 45, 45, 2, 7, 24, 2, 8, 31, 2, 6, 36, 62, 41, 43, 42, 42, 49, 43, 45, 47, 28, 2, 8, 23, 44, 38, 46, 32, 2, 6, 16, 42, 40, 38, 46, 2, 9, 2, 7, 45, 2, 17, 14, 54, 45, 48, 42, 40, 42, 2, 11, 2, 2, 2, 33, 2, 29, 2, 6, 50, 39, 2, 6, 23, 2, 6, 47, 46, 49, 47, 43, 55, 42, 29, 2, 6, 23, 2, 6, 19, 43, 43, 47, 41, 40, 49, 38, 44, 48, 47, 43, 42, 31, 2, 6, 16, 2, 6, 49, 42, 2, 6, 16, 2, 6, 45, 42, 42, 42, 41, 45, 44, 44, 29, 2, 6, 19, 2, 6, 41, 40, 52, 48, 41, 44, 47, 43, 44, 28, 2, 6, 22, 2, 6, 40, 39, 42, 46, 57, 47, 49, 23, 2, 6, 42, 2, 6, 50, 47, 37, 44, 43, 22, 2, 6, 27, 2, 6, 50, 52, 46, 42, 53, 54, 39, 18, 2, 6, 46, 42, 2, 6, 40, 46, 36, 34, 36, 49, 48, 26, 2, 6, 24, 2, 16, 2, 6, 49, 2, 6, 52, 2, 6, 19, 2, 6, 65, 65, 67, 42, 2, 6, 56, 41, 2, 6, 58, 45, 2, 6, 39, 2, 6, 56, 2, 6, 42, 2, 6, 55, 2, 6, 63, 65, 58, 11, 2, 6, 28, 39, 2, 6, 61, 57, 61, 66, 66, 47, 2, 6, 61, 65, 64, 67, 67, 64, 45, 2, 6, 46, 2, 6, 64, 15, 2, 6, 6, 2, 6, 67, 14, 2, 6, 48, 2, 6, 13, 2, 6, 59, 2, 6, 14, 2, 6, 33, 2, 6, 63, 30, 2, 6, 55, 2, 6, 60, 58, 2, 6, 60, 43, 2, 6, 20, 2, 6, 20, 2, 6, 39, 2, 6, 58, 60, 67, 63, 63, 23, 2, 6, 30, 2, 6, 61, 2, 6, 38, 2, 6, 59, 67, 62, 67, 66, 2, 6, 58, 59, 63, 46, 2, 6, 21, 2, 6, 58, 2, 6, 62, 59, 64, 65, 25, 2, 6, 33, 2, 6, 60, 2, 6, 37, 2, 6, 15, 2, 15, 2, 63, 13, 2, 6, 52, 2, 6, 67, 67, 63, 60, 64, 43, 2, 17, 2, 7, 59, 66, 65, 24, 2, 6, 64, 67, 22, 2, 7, 45, 2, 6, 16, 2, 7, 59, 34, 2, 6, 24, 2, 14, 2, 6, 36, 2, 6, 61, 67, 63, 2, 6, 22, 2, 6, 60, 32, 2, 6, 64, 41, 2, 6, 61, 65, 66, 65, 29, 2, 64, 12, 2, 7, 49, 2, 46, 2, 6, 50, 39, 53, 42, 18, 47, 45, 45, 39, 47, 44, 45, 43, 37, 24, 41, 47, 42, 22, 2, 7, 27, 49, 42, 42, 44, 39, 45, 43, 24, 2, 6, 22, 47, 29, 2, 7, 19, 2, 6, 47, 53, 25, 2, 7, 19, 2, 6, 19, 2, 7, 50, 21, 2, 6, 21, 50, 2, 7, 41, 50, 2, 7, 40, 2, 6, 52, 2, 25, 2, 6, 19, 2, 7, 46, 41, 42, 46, 49, 41, 46, 49, 42, 39, 51, 50, 39, 2, 6, 15, 2, 7, 16, 2, 14, 2, 6, 6, 2, 7, 5, 2, 6, 11, 2, 6, 29, 2, 7, 15, 2, 7, 52, 25, 2, 47, 2, 19, 2, 6, 48, 35, 2, 14, 2, 7, 33, 2, 7, 20, 2, 8, 34, 46, 44, 2, 6, 13, 2, 7, 25, 2, 8, 40, 2, 7, 50, 2, 6, 41, 2, 8, 29, 2, 7, 28, 2, 7, 19, 2, 7, 53, 2, 6, 46, 42, 38, 2, 7, 22, 2, 14, 2, 6, 23, 2, 7, 18, 2, 50, 45, 2, 7, 31, 2, 6, 18, 2, 20, 2, 6, 30, 2, 6, 48, 2, 6, 20, 2, 7, 46, 45, 2, 6, 21, 2, 7, 31, 2, 8, 52, 39, 2, 9, 2, 6, 41, 25, 2, 18, 2, 7, 45, 44, 44, 44, 42, 43, 45, 48, 2, 6, 28, 27, 2, 19, 2, 18, 19, 2, 7, 43, 2, 6, 48, 44, 19, 2, 14, 2, 7, 22, 39, 45, 48, 18, 2, 9, 2, 6, 47, 47, 48, 45, 48, 50, 37, 44, 21, 2, 6, 19, 43, 30, 2, 6, 19, 52, 38, 53, 42, 35, 50, 21, 2, 36, 2, 29, 2, 6, 51, 37, 22, 2, 6, 20, 47, 46, 39, 39, 50, 45, 2, 9, 2, 6, 54, 46, 32, 2, 17, 2, 58, 2, 7, 22, 2, 6, 26, 47, 2, 7, 45, 45, 37, 26, 2, 15, 22, 45, 53, 42, 45, 34, 2, 6, 21, 42, 44, 47, 49, 48, 40, 45, 48, 39, 45, 47, 39, 48, 16, 2, 7, 26, 39, 43, 47, 48, 2, 6, 43, 51, 43, 54, 29, 2, 7, 19, 42, 40, 52, 42, 25, 43, 47, 29, 2, 17, 2, 65, 24]\n"
     ]
    }
   ],
   "source": [
    "linelengths=[len(line) for line in open(\"hamlet.txt\")]#poor code as we dont close the file\n",
    "print linelengths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(180718, 26.69394387001477, 26.0, 21.029872021427462)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(linelengths), np.mean(linelengths), np.median(linelengths), np.std(linelengths)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "But perhaps we want to access Hamlet word by word and not line by line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31659"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hamletfile=open(\"hamlet.txt\")\n",
    "hamlettext=hamletfile.read()\n",
    "hamletfile.close()\n",
    "hamlettokens=hamlettext.split()#split with no arguments splits on whitespace\n",
    "len(hamlettokens)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One can use the `with` syntax which cretaes a context. The file closing is then done automatically for us."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "31659\n"
     ]
    }
   ],
   "source": [
    "with open(\"hamlet.txt\") as hamletfile:\n",
    "    hamlettext=hamletfile.read()\n",
    "    hamlettokens=hamlettext.split()\n",
    "    print len(hamlettokens)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are roughly 32,000 words in Hamlet."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###The indexing of lists"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "﻿XXXX\r\n",
      "HAMLET, PRINCE OF DENMARK\r\n",
      "\r\n",
      "by William Shakespeare\r\n",
      "\r\n",
      "\r\n",
      "\r\n",
      "\r\n",
      "PERSONS REPRESENTED.\r\n",
      "\r\n",
      "Claudius, King of Denmark.\r\n",
      "Hamlet, Son to the former, and Nephew to the present King.\r\n",
      "Polonius, Lord Chamberlain.\r\n",
      "Horatio, Friend to Hamlet.\r\n",
      "Laertes, Son to Polonius.\r\n",
      "Voltimand, Courtier.\r\n",
      "Cornelius, Courtier.\r\n",
      "Rosencrantz, Courtier.\r\n",
      "Guildenstern, Courtier.\r\n",
      "Osric, Courtier.\r\n",
      "A Gentleman, Courtier.\r\n",
      "A Priest.\r\n",
      "Marcellus, Officer.\r\n",
      "Bernardo, Officer.\r\n",
      "Francisco, a Soldier\r\n",
      "Reynaldo, Servant to Polonius.\r\n",
      "Players.\r\n",
      "Two Clowns, Grave-diggers.\r\n",
      "Fortinbras, Prince of Norway.\r\n",
      "A Captain.\r\n",
      "English Ambassadors.\r\n",
      "Ghost of Hamlet's Father.\r\n",
      "\r\n",
      "Gertrude, Queen of Denmark, and Mother of Hamlet.\r\n",
      "Ophelia, Daughter to Polonius.\r\n",
      "\r\n",
      "Lords, Ladies, Officers, Soldiers, Sailors, Messengers, and other\r\n",
      "Attendants.\r\n",
      "\r\n",
      "SCENE. Elsinore.\r\n",
      "\r\n",
      "\r\n",
      "\r\n",
      "ACT I.\r\n",
      "\r\n",
      "Scene I. Elsinore. A platform before the Castle.\r\n",
      "\r\n",
      "[Francisco at his post. Enter to him Bernardo.]\r\n",
      "\r\n",
      "Ber.\r\n",
      "Who's there?\r\n",
      "\r\n",
      "Fran.\r\n",
      "Nay, answer me: stand, and u\n"
     ]
    }
   ],
   "source": [
    "print hamlettext[:1000]#first 1000 characters from Hamlet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nd, in this upshot, purposes mistook\r\n",
      "Fall'n on the inventors' heads: all this can I\r\n",
      "Truly deliver.\r\n",
      "\r\n",
      "Fort.\r\n",
      "Let us haste to hear it,\r\n",
      "And call the noblest to the audience.\r\n",
      "For me, with sorrow I embrace my fortune:\r\n",
      "I have some rights of memory in this kingdom,\r\n",
      "Which now, to claim my vantage doth invite me.\r\n",
      "\r\n",
      "Hor.\r\n",
      "Of that I shall have also cause to speak,\r\n",
      "And from his mouth whose voice will draw on more:\r\n",
      "But let this same be presently perform'd,\r\n",
      "Even while men's minds are wild: lest more mischance\r\n",
      "On plots and errors happen.\r\n",
      "\r\n",
      "Fort.\r\n",
      "Let four captains\r\n",
      "Bear Hamlet like a soldier to the stage;\r\n",
      "For he was likely, had he been put on,\r\n",
      "To have prov'd most royally: and, for his passage,\r\n",
      "The soldiers' music and the rites of war\r\n",
      "Speak loudly for him.--\r\n",
      "Take up the bodies.--Such a sight as this\r\n",
      "Becomes the field, but here shows much amiss.\r\n",
      "Go, bid the soldiers shoot.\r\n",
      "\r\n",
      "[A dead march.]\r\n",
      "\r\n",
      "[Exeunt, bearing off the dead bodies; after the which a peal of\r\n",
      "ordnance is shot off.]\r\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print hamlettext[-1000:]#and last 1000 characters from Hamlet."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets split the word tokens. The first one below reads, give me the second, third, and fourth words (remember that python is 0 indexed). Try and figure what the others mean."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['HAMLET,', 'PRINCE', 'OF'] ['\\xef\\xbb\\xbfXXXX', 'HAMLET,', 'PRINCE', 'OF'] ﻿XXXX off.]\n"
     ]
    }
   ],
   "source": [
    "print hamlettokens[1:4], hamlettokens[:4], hamlettokens[0], hamlettokens[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['HAMLET,', 'OF', 'by', 'Shakespeare']"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hamlettokens[1:8:2]#get every 2nd world between the 2nd and the 9th: ie 2nd, 4th, 6th, and 8th"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "range and xrange get the list of integers upto N. But xrange behaves like an iterator. The reason for this is that there is no point generaing all os a million integers. We can just add 1 to the previous one and save memory. So we trade off storage for computation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mylist=[]\n",
    "for i in xrange(10):\n",
    "    mylist.append(i)\n",
    "mylist"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dictionaries\n",
    "\n",
    "These are the bread and butter. You will use them a lot. They even duck like lists. But be careful how."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['three', 'two', 'one'] [('three', 3), ('two', 2), ('one', 1)] [3, 2, 1]\n"
     ]
    }
   ],
   "source": [
    "adict={'one':1, 'two': 2, 'three': 3}\n",
    "print [i for i in adict], [(k,v) for k,v in adict.items()], adict.values()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The keys do not have to be strings. From python 2.7 you can use dictionary comprehensions as well"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1: 1, 2: 4, 3: 9, 4: 16, 5: 25}"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mydict ={k:v for (k,v) in zip(alist, asquaredlist)}\n",
    "mydict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can construct then nicely using the function `dict`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a': 1, 'b': 2}"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict(a=1, b=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###and conversion to json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\"1\": 1, \"2\": 4, \"3\": 9, \"4\": 16, \"5\": 25}\n"
     ]
    }
   ],
   "source": [
    "s=json.dumps(mydict)\n",
    "print s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{u'1': 1, u'2': 4, u'3': 9, u'4': 16, u'5': 25}"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "json.loads(s)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Strings\n",
    "\n",
    "Basically they behave like immutable lists"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "off.]\n"
     ]
    }
   ],
   "source": [
    "lastword=hamlettokens[-1]\n",
    "print(lastword)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'str' object does not support item assignment",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-46-7d666f1ef024>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlastword\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"k\"\u001b[0m\u001b[0;31m#cant change a part of a string\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m: 'str' object does not support item assignment"
     ]
    }
   ],
   "source": [
    "lastword[-2]=\"k\"#cant change a part of a string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'.'"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lastword[-2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-48-17485d833e46>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-48-17485d833e46>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    You can join a list with a separator to make a string.\u001b[0m\n\u001b[0m          ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "You can join a list with a separator to make a string."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"\\xef\\xbb\\xbfXXXX,HAMLET,,PRINCE,OF,DENMARK,by,William,Shakespeare,PERSONS,REPRESENTED.,Claudius,,King,of,Denmark.,Hamlet,,Son,to,the,former,,and,Nephew,to,the,present,King.,Polonius,,Lord,Chamberlain.,Horatio,,Friend,to,Hamlet.,Laertes,,Son,to,Polonius.,Voltimand,,Courtier.,Cornelius,,Courtier.,Rosencrantz,,Courtier.,Guildenstern,,Courtier.,Osric,,Courtier.,A,Gentleman,,Courtier.,A,Priest.,Marcellus,,Officer.,Bernardo,,Officer.,Francisco,,a,Soldier,Reynaldo,,Servant,to,Polonius.,Players.,Two,Clowns,,Grave-diggers.,Fortinbras,,Prince,of,Norway.,A,Captain.,English,Ambassadors.,Ghost,of,Hamlet's,Father.,Gertrude,,Queen,of,Denmark,,and,Mother,of,Hamlet.,Ophelia,,Daughter,to,Polonius.,Lords,,Ladies,,Officers,,Soldiers,,Sailors,,Messengers,,and,other,Attendants.,SCENE.,Elsinore.,ACT,I.,Scene,I.,Elsinore.,A,platform,before,the,Castle.,[Francisco,at,his,post.,Enter,to,him,Bernardo.],Ber.,Who's,there?,Fran.,Nay,,answer,me:,stand,,and,unfold,yourself.,Ber.,Long,live,the,king!,Fran.,Bernardo?,Ber.,He.,Fra\""
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wierdstring=\",\".join(hamlettokens)\n",
    "wierdstring[:1000]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Functions\n",
    "\n",
    "Functions are even more the bread and butter. You'll see them as methods on objects, or standing alone by themselves."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(25, 125)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def square(x):\n",
    "    return(x*x)\n",
    "def cube(x):\n",
    "    return x*x*x\n",
    "square(5),cube(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<function square at 0x1099bc938> <type 'function'>\n"
     ]
    }
   ],
   "source": [
    "print square, type(cube)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In Python, functions are \"first-class\". This is just a fancy way of saying, you can pass functions to other functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3 4 <function square at 0x1099bc938>\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "25"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def sum_of_anything(x,y,f):\n",
    "    print x,y,f\n",
    "    return(f(x) + f(y))\n",
    "sum_of_anything(3,4,square)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Python functions can have positional arguments and keyword arguments. Positional arguments are stored in a tuple, and keyword arguments in a dictionary. Note the \"starred\" syntax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "got 1 3 () {}\n",
      "1\n",
      "got 1 3 (4,) {'c': 2, 'd': 1}\n",
      "1\n"
     ]
    }
   ],
   "source": [
    "def f(a,b,*posargs,**dictargs):\n",
    "    print \"got\",a,b,posargs, dictargs\n",
    "    return a\n",
    "print f(1,3)\n",
    "print f(1,3,4,d=1,c=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">**YOUR TURN** create a dictionary with keys the integers upto and including 10, and values the cubes of these dictionaries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#your code here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##Booleans and Control-flow\n",
    "\n",
    "Lets test for belonging..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a=[1,2,3,4,5]\n",
    "1 in a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "6 in a"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Python supports if/elif/else clauses for multi-way conditionals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "One\n"
     ]
    }
   ],
   "source": [
    "def do_it(x):\n",
    "    if x==1:\n",
    "        print \"One\"\n",
    "    elif x==2:\n",
    "        print \"Two\"\n",
    "    else:\n",
    "        print x\n",
    "do_it(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two\n",
      "3\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(None, None)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "do_it(2), do_it(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can `break` out of a loop based on a condition. The loop below is a for loop."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n",
      "5\n",
      "6\n"
     ]
    }
   ],
   "source": [
    "for i in range(10):\n",
    "    print i\n",
    "    if (i > 5):\n",
    "        break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "While loops are also supported. `continue` continues to the next iteration of the loop skipping all the code below, while `break` breaks out of it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "i=0\n",
    "while i < 10:\n",
    "    print i\n",
    "    i=i+1\n",
    "    if i < 5:\n",
    "        continue\n",
    "    else:\n",
    "        break\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exceptions\n",
    "\n",
    "This is the way to catch errors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(<type 'exceptions.TypeError'>, TypeError('f() takes at least 2 arguments (1 given)',), <traceback object at 0x109d86950>)\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    f(1)#takes atleast 2 arguments\n",
    "except:\n",
    "    import sys\n",
    "    print sys.exc_info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## All together now\n",
    "\n",
    "Lets see what hamlet gives us. We convert all words to lower-case"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "95"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hamletlctokens=[word.lower() for word in hamlettokens]\n",
    "hamletlctokens.count(\"thou\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We then find a unique set of words using python's `set` data structure. We count how often those words occured using the `count` method on lists."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "uniquelctokens=set(hamletlctokens)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tokendict={}\n",
    "for ut in uniquelctokens:\n",
    "    tokendict[ut]=hamletlctokens.count(ut)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We find the 100 most used words..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('the', 1136),\n",
       " ('and', 943),\n",
       " ('to', 720),\n",
       " ('of', 667),\n",
       " ('a', 527),\n",
       " ('my', 512),\n",
       " ('i', 510),\n",
       " ('in', 420),\n",
       " ('you', 412),\n",
       " ('ham.', 358),\n",
       " ('that', 337),\n",
       " ('it', 324),\n",
       " ('is', 320),\n",
       " ('his', 295),\n",
       " ('not', 270),\n",
       " ('with', 264),\n",
       " ('this', 250),\n",
       " ('your', 241),\n",
       " ('for', 231),\n",
       " ('but', 228),\n",
       " ('as', 216),\n",
       " ('he', 202),\n",
       " ('be', 201),\n",
       " ('what', 183),\n",
       " ('have', 174),\n",
       " ('will', 149),\n",
       " ('so', 143),\n",
       " ('me', 142),\n",
       " ('we', 132),\n",
       " ('do', 128),\n",
       " ('are', 126),\n",
       " ('him', 122),\n",
       " ('our', 119),\n",
       " ('king.', 113),\n",
       " ('by', 111),\n",
       " ('hor.', 110),\n",
       " ('or', 109),\n",
       " ('if', 109),\n",
       " ('on', 109),\n",
       " ('no', 107),\n",
       " ('shall', 106),\n",
       " ('thou', 95),\n",
       " ('all', 95),\n",
       " ('from', 95),\n",
       " ('they', 93),\n",
       " ('let', 92),\n",
       " ('good', 88),\n",
       " ('at', 86),\n",
       " ('thy', 86),\n",
       " ('pol.', 86),\n",
       " ('how', 84),\n",
       " ('most', 82),\n",
       " ('lord,', 81),\n",
       " ('her', 76),\n",
       " ('more', 76),\n",
       " ('queen.', 76),\n",
       " ('like', 75),\n",
       " ('would', 74),\n",
       " ('was', 73),\n",
       " (\"'tis\", 70),\n",
       " ('you,', 66),\n",
       " ('may', 65),\n",
       " ('very', 64),\n",
       " ('laer.', 62),\n",
       " ('hath', 62),\n",
       " ('[enter', 61),\n",
       " ('lord.', 60),\n",
       " ('did', 59),\n",
       " ('give', 58),\n",
       " ('must', 58),\n",
       " ('oph.', 58),\n",
       " ('their', 57),\n",
       " ('o,', 57),\n",
       " ('know', 57),\n",
       " (\"i'll\", 56),\n",
       " ('an', 55),\n",
       " ('should', 55),\n",
       " ('which', 55),\n",
       " ('some', 54),\n",
       " ('when', 54),\n",
       " ('come', 54),\n",
       " ('upon', 53),\n",
       " ('make', 53),\n",
       " ('am', 52),\n",
       " ('such', 51),\n",
       " ('ros.', 51),\n",
       " ('than', 51),\n",
       " ('there', 50),\n",
       " ('where', 49),\n",
       " ('now', 48),\n",
       " ('go', 48),\n",
       " ('o', 46),\n",
       " ('us', 46),\n",
       " ('clown.', 45),\n",
       " ('much', 44),\n",
       " ('had', 44),\n",
       " ('these', 44),\n",
       " ('them', 44),\n",
       " ('she', 43),\n",
       " ('out', 43)]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "L=sorted(tokendict.iteritems(), key= lambda (k,v):v, reverse=True)[:100]\n",
    "L"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets get the top 20 of this and plot a bar chart!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('the', 1136), ('and', 943), ('to', 720), ('of', 667), ('a', 527), ('my', 512), ('i', 510), ('in', 420), ('you', 412), ('ham.', 358), ('that', 337), ('it', 324), ('is', 320), ('his', 295), ('not', 270), ('with', 264), ('this', 250), ('your', 241), ('for', 231), ('but', 228)]\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10995ead0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "topfreq=L[:20]\n",
    "print topfreq\n",
    "pos = np.arange(len(topfreq))\n",
    "plt.bar(pos, [e[1] for e in topfreq]);\n",
    "plt.xticks(pos+0.4, [e[0] for e in topfreq]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###Doing this better\n",
    "\n",
    "We see that the words we get here are not particularly interesting ones. We might want to do a better job eliminating such common \"stop\" words.\n",
    "\n",
    "Also note that in the words above there is punctuation, such as `ham.`. We can do better. Lets start again with `hamlettokens`.\n",
    "\n",
    "First getting rid of numbers, square brackets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "hamlettoks=[tok.translate(None,'[]1234567890\\xef\\xbb\\xbf') for tok in hamlettokens]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['xxxx',\n",
       " 'hamlet,',\n",
       " 'prince',\n",
       " 'of',\n",
       " 'denmark',\n",
       " 'by',\n",
       " 'william',\n",
       " 'shakespeare',\n",
       " 'persons',\n",
       " 'represented.',\n",
       " 'claudius,',\n",
       " 'king',\n",
       " 'of',\n",
       " 'denmark.',\n",
       " 'hamlet,',\n",
       " 'son',\n",
       " 'to',\n",
       " 'the',\n",
       " 'former,',\n",
       " 'and',\n",
       " 'nephew',\n",
       " 'to',\n",
       " 'the',\n",
       " 'present',\n",
       " 'king.',\n",
       " 'polonius,',\n",
       " 'lord',\n",
       " 'chamberlain.',\n",
       " 'horatio,',\n",
       " 'friend',\n",
       " 'to',\n",
       " 'hamlet.',\n",
       " 'laertes,',\n",
       " 'son',\n",
       " 'to',\n",
       " 'polonius.',\n",
       " 'voltimand,',\n",
       " 'courtier.',\n",
       " 'cornelius,',\n",
       " 'courtier.',\n",
       " 'rosencrantz,',\n",
       " 'courtier.',\n",
       " 'guildenstern,',\n",
       " 'courtier.',\n",
       " 'osric,',\n",
       " 'courtier.',\n",
       " 'a',\n",
       " 'gentleman,',\n",
       " 'courtier.',\n",
       " 'a',\n",
       " 'priest.',\n",
       " 'marcellus,',\n",
       " 'officer.',\n",
       " 'bernardo,',\n",
       " 'officer.',\n",
       " 'francisco,',\n",
       " 'a',\n",
       " 'soldier',\n",
       " 'reynaldo,',\n",
       " 'servant',\n",
       " 'to',\n",
       " 'polonius.',\n",
       " 'players.',\n",
       " 'two',\n",
       " 'clowns,',\n",
       " 'grave-diggers.',\n",
       " 'fortinbras,',\n",
       " 'prince',\n",
       " 'of',\n",
       " 'norway.',\n",
       " 'a',\n",
       " 'captain.',\n",
       " 'english',\n",
       " 'ambassadors.',\n",
       " 'ghost',\n",
       " 'of',\n",
       " \"hamlet's\",\n",
       " 'father.',\n",
       " 'gertrude,',\n",
       " 'queen',\n",
       " 'of',\n",
       " 'denmark,',\n",
       " 'and',\n",
       " 'mother',\n",
       " 'of',\n",
       " 'hamlet.',\n",
       " 'ophelia,',\n",
       " 'daughter',\n",
       " 'to',\n",
       " 'polonius.',\n",
       " 'lords,',\n",
       " 'ladies,',\n",
       " 'officers,',\n",
       " 'soldiers,',\n",
       " 'sailors,',\n",
       " 'messengers,',\n",
       " 'and',\n",
       " 'other',\n",
       " 'attendants.',\n",
       " 'scene.']"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lctoks = [word.lower() for word in hamlettoks]\n",
    "lctoks[:100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'!\"#$%&\\'()*+,-./:;<=>?@[\\\\]^_`{|}~'"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from string import punctuation\n",
    "punctuation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "lctoks=[tok.translate(None,punctuation) for tok in lctoks]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['a',\n",
       " \"a's\",\n",
       " 'able',\n",
       " 'about',\n",
       " 'above',\n",
       " 'according',\n",
       " 'accordingly',\n",
       " 'across',\n",
       " 'actually',\n",
       " 'after',\n",
       " 'afterwards',\n",
       " 'again',\n",
       " 'against',\n",
       " \"ain't\",\n",
       " 'all',\n",
       " 'allow',\n",
       " 'allows',\n",
       " 'almost',\n",
       " 'alone',\n",
       " 'along',\n",
       " 'already',\n",
       " 'also',\n",
       " 'although',\n",
       " 'always',\n",
       " 'am',\n",
       " 'among',\n",
       " 'amongst',\n",
       " 'an',\n",
       " 'and',\n",
       " 'another',\n",
       " 'any',\n",
       " 'anybody',\n",
       " 'anyhow',\n",
       " 'anyone',\n",
       " 'anything',\n",
       " 'anyway',\n",
       " 'anyways',\n",
       " 'anywhere',\n",
       " 'apart',\n",
       " 'appear',\n",
       " 'appreciate',\n",
       " 'appropriate',\n",
       " 'are',\n",
       " \"aren't\",\n",
       " 'around',\n",
       " 'as',\n",
       " 'aside',\n",
       " 'ask',\n",
       " 'asking',\n",
       " 'associated']"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with open(\"english.stop.txt\") as f:\n",
    "    stops=[e.strip().lower() for e in f.readlines()]\n",
    "stops[:50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['xxxx',\n",
       " 'hamlet',\n",
       " 'prince',\n",
       " 'denmark',\n",
       " 'william',\n",
       " 'shakespeare',\n",
       " 'persons',\n",
       " 'represented',\n",
       " 'claudius',\n",
       " 'king',\n",
       " 'denmark',\n",
       " 'hamlet',\n",
       " 'son',\n",
       " 'nephew',\n",
       " 'present',\n",
       " 'king',\n",
       " 'polonius',\n",
       " 'lord',\n",
       " 'chamberlain',\n",
       " 'horatio',\n",
       " 'friend',\n",
       " 'hamlet',\n",
       " 'laertes',\n",
       " 'son',\n",
       " 'polonius',\n",
       " 'voltimand',\n",
       " 'courtier',\n",
       " 'cornelius',\n",
       " 'courtier',\n",
       " 'rosencrantz',\n",
       " 'courtier',\n",
       " 'guildenstern',\n",
       " 'courtier',\n",
       " 'osric',\n",
       " 'courtier',\n",
       " 'gentleman',\n",
       " 'courtier',\n",
       " 'priest',\n",
       " 'marcellus',\n",
       " 'officer',\n",
       " 'bernardo',\n",
       " 'officer',\n",
       " 'francisco',\n",
       " 'soldier',\n",
       " 'reynaldo',\n",
       " 'servant',\n",
       " 'polonius',\n",
       " 'players',\n",
       " 'clowns',\n",
       " 'gravediggers',\n",
       " 'fortinbras',\n",
       " 'prince',\n",
       " 'norway',\n",
       " 'captain',\n",
       " 'english',\n",
       " 'ambassadors',\n",
       " 'ghost',\n",
       " 'hamlets',\n",
       " 'father',\n",
       " 'gertrude',\n",
       " 'queen',\n",
       " 'denmark',\n",
       " 'mother',\n",
       " 'hamlet',\n",
       " 'ophelia',\n",
       " 'daughter',\n",
       " 'polonius',\n",
       " 'lords',\n",
       " 'ladies',\n",
       " 'officers',\n",
       " 'soldiers',\n",
       " 'sailors',\n",
       " 'messengers',\n",
       " 'attendants',\n",
       " 'scene',\n",
       " 'elsinore',\n",
       " 'act',\n",
       " 'scene',\n",
       " 'elsinore',\n",
       " 'platform',\n",
       " 'castle',\n",
       " 'francisco',\n",
       " 'post',\n",
       " 'enter',\n",
       " 'bernardo',\n",
       " 'ber',\n",
       " 'whos',\n",
       " 'fran',\n",
       " 'nay',\n",
       " 'answer',\n",
       " 'stand',\n",
       " 'unfold',\n",
       " 'ber',\n",
       " 'long',\n",
       " 'live',\n",
       " 'king',\n",
       " 'fran',\n",
       " 'bernardo',\n",
       " 'ber',\n",
       " 'fran']"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lcnstoks=[]\n",
    "for tok in lctoks:\n",
    "     if tok not in stops:\n",
    "        lcnstoks.append(tok)\n",
    "lcnstoks[:100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13591"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(lcnstoks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4618"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uniqlcnstoks = set(lcnstoks)\n",
    "len(uniqlcnstoks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('', 48),\n",
       " ('forgone', 1),\n",
       " ('oertop', 1),\n",
       " ('pardon', 6),\n",
       " ('nunnery', 5),\n",
       " ('womans', 1),\n",
       " ('lunacies', 1),\n",
       " ('doubts', 1),\n",
       " ('foul', 11),\n",
       " ('hath', 64),\n",
       " ('straws', 2),\n",
       " ('chameleons', 1),\n",
       " ('sleep', 12),\n",
       " ('conjuring', 1),\n",
       " ('appetite', 1),\n",
       " ('captain', 2),\n",
       " ('hate', 1),\n",
       " ('yonder', 2),\n",
       " ('conjure', 1),\n",
       " ('adown', 1)]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokencounts=[]\n",
    "for ut in uniqlcnstoks:\n",
    "    tokencounts.append(lcnstoks.count(ut))\n",
    "together=zip(uniqlcnstoks, tokencounts)\n",
    "together[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('ham', 358),\n",
       " ('lord', 223),\n",
       " ('king', 195),\n",
       " ('queen', 119),\n",
       " ('hor', 111),\n",
       " ('thou', 104),\n",
       " ('hamlet', 101),\n",
       " ('good', 100),\n",
       " ('thy', 86),\n",
       " ('pol', 86),\n",
       " ('tis', 73),\n",
       " ('sir', 73),\n",
       " ('enter', 66),\n",
       " ('love', 66),\n",
       " ('hath', 64),\n",
       " ('ill', 62),\n",
       " ('speak', 62),\n",
       " ('laer', 62),\n",
       " ('give', 60),\n",
       " ('thee', 58),\n",
       " ('oph', 58),\n",
       " ('make', 55),\n",
       " ('ros', 53),\n",
       " ('man', 52),\n",
       " ('father', 51),\n",
       " ('', 48),\n",
       " ('clown', 47),\n",
       " ('laertes', 45),\n",
       " ('horatio', 44),\n",
       " ('heaven', 43),\n",
       " ('time', 42),\n",
       " ('play', 42),\n",
       " ('exit', 39),\n",
       " ('death', 37),\n",
       " ('mother', 37),\n",
       " ('exeunt', 36),\n",
       " ('polonius', 36),\n",
       " ('guil', 35),\n",
       " ('mar', 35),\n",
       " ('ay', 35),\n",
       " ('soul', 34),\n",
       " ('life', 33),\n",
       " ('mine', 32),\n",
       " ('dead', 32),\n",
       " ('hear', 32),\n",
       " ('ghost', 32),\n",
       " ('night', 31),\n",
       " ('made', 30),\n",
       " ('ophelia', 29),\n",
       " ('guildenstern', 29),\n",
       " ('god', 28),\n",
       " ('dear', 28),\n",
       " ('leave', 28),\n",
       " ('matter', 27),\n",
       " ('nature', 27),\n",
       " ('doth', 27),\n",
       " ('pray', 27),\n",
       " ('heart', 27),\n",
       " ('rosencrantz', 26),\n",
       " ('head', 26),\n",
       " ('sweet', 26),\n",
       " ('great', 26),\n",
       " ('hold', 25),\n",
       " ('osr', 25),\n",
       " ('nay', 25),\n",
       " ('part', 25),\n",
       " ('earth', 24),\n",
       " ('world', 24),\n",
       " ('put', 24),\n",
       " ('scene', 24),\n",
       " ('true', 23),\n",
       " ('show', 23),\n",
       " ('call', 22),\n",
       " ('eyes', 22),\n",
       " ('set', 22),\n",
       " ('fair', 21),\n",
       " ('players', 21),\n",
       " ('son', 21),\n",
       " ('mad', 21),\n",
       " ('madness', 21),\n",
       " ('day', 21),\n",
       " ('ber', 21),\n",
       " ('denmark', 21),\n",
       " ('england', 20),\n",
       " ('means', 20),\n",
       " ('till', 20),\n",
       " ('poor', 20),\n",
       " ('fathers', 20),\n",
       " ('fear', 20),\n",
       " ('words', 20),\n",
       " ('hand', 19),\n",
       " ('act', 19),\n",
       " ('follow', 19),\n",
       " ('friends', 19),\n",
       " ('thing', 18),\n",
       " ('blood', 18),\n",
       " ('makes', 18),\n",
       " ('end', 17),\n",
       " ('farewell', 17),\n",
       " ('noble', 17)]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "togethersorted=sorted(together, reverse=True, key=lambda x: x[1])\n",
    "togethersorted[:100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'': 48,\n",
       " 'forgone': 1,\n",
       " 'oertop': 1,\n",
       " 'pardon': 6,\n",
       " 'nunnery': 5,\n",
       " 'lunacies': 1,\n",
       " 'doubts': 1,\n",
       " 'foul': 11,\n",
       " 'devisd': 1,\n",
       " 'hath': 64,\n",
       " 'straws': 2,\n",
       " 'chameleons': 1,\n",
       " 'sleep': 12,\n",
       " 'conjuring': 1,\n",
       " 'appetite': 1,\n",
       " 'captain': 2,\n",
       " 'hate': 1,\n",
       " 'yonder': 2,\n",
       " 'conjure': 1,\n",
       " 'adown': 1,\n",
       " 'neighbourd': 1,\n",
       " 'remiss': 1,\n",
       " 'paris': 1,\n",
       " 'rankly': 1,\n",
       " 'trickd': 1,\n",
       " 'realm': 1,\n",
       " 'tickle': 1,\n",
       " 'historicalpastoral': 1,\n",
       " 'oerdoing': 1,\n",
       " 'whatsoever': 1,\n",
       " 'lord': 223,\n",
       " 'pride': 1,\n",
       " 'worth': 3,\n",
       " 'favours': 2,\n",
       " 'reformd': 1,\n",
       " 'betterd': 1,\n",
       " 'moiety': 1,\n",
       " 'appal': 1,\n",
       " 'rashly': 1,\n",
       " 'blanket': 1,\n",
       " 'hadst': 3,\n",
       " 'beauties': 1,\n",
       " 'replication': 1,\n",
       " 'tetter': 1,\n",
       " 'jigmaker': 1,\n",
       " 'confederate': 1,\n",
       " 'conception': 1,\n",
       " 'talkd': 2,\n",
       " 'bringing': 1,\n",
       " 'winnowed': 1,\n",
       " 'encounter': 3,\n",
       " 'chapel': 2,\n",
       " 'jointress': 1,\n",
       " 'school': 1,\n",
       " 'pardond': 2,\n",
       " 'poppd': 1,\n",
       " 'scholar': 1,\n",
       " 'pinch': 1,\n",
       " 'withers': 1,\n",
       " 'companies': 1,\n",
       " 'solid': 1,\n",
       " 'convenience': 1,\n",
       " 'pardont': 1,\n",
       " 'sexton': 1,\n",
       " 'succession': 2,\n",
       " 'provided': 1,\n",
       " 'witherd': 1,\n",
       " 'graces': 2,\n",
       " 'triumph': 1,\n",
       " 'clothes': 2,\n",
       " 'achievements': 1,\n",
       " 'glassy': 1,\n",
       " 'force': 3,\n",
       " 'forcd': 2,\n",
       " 'gaged': 1,\n",
       " 'awake': 2,\n",
       " 'razed': 1,\n",
       " 'unmasterd': 1,\n",
       " 'direct': 4,\n",
       " 'pulse': 1,\n",
       " 'themstand': 1,\n",
       " 'dish': 1,\n",
       " 'rusty': 1,\n",
       " 'persuade': 1,\n",
       " 'valiant': 2,\n",
       " 'indirections': 1,\n",
       " 'contriving': 1,\n",
       " 'tether': 1,\n",
       " 'sterile': 1,\n",
       " 'lapwing': 1,\n",
       " 'blue': 1,\n",
       " 'employ': 1,\n",
       " 'evermore': 1,\n",
       " 'hide': 5,\n",
       " 'pace': 2,\n",
       " 'solemn': 3,\n",
       " 'thunder': 2,\n",
       " 'beaten': 1,\n",
       " 'fingers': 4,\n",
       " 'poison': 6,\n",
       " 'fatness': 1,\n",
       " 'lights': 4,\n",
       " 'devotions': 1,\n",
       " 'worser': 1,\n",
       " 'prolongs': 1,\n",
       " 'promisecrammed': 1,\n",
       " 'majesties': 2,\n",
       " 'churches': 1,\n",
       " 'fingerd': 1,\n",
       " 'marching': 1,\n",
       " 'seeks': 2,\n",
       " 'told': 5,\n",
       " 'baptista': 1,\n",
       " 'prate': 1,\n",
       " 'orbed': 1,\n",
       " 'men': 11,\n",
       " 'doeswhat': 1,\n",
       " 'met': 1,\n",
       " 'mew': 1,\n",
       " 'pate': 4,\n",
       " 'jade': 1,\n",
       " 'aid': 1,\n",
       " 'represented': 1,\n",
       " 'path': 1,\n",
       " 'windlaces': 1,\n",
       " 'interpret': 1,\n",
       " 'contraction': 1,\n",
       " 'dry': 3,\n",
       " 'fathermethinks': 1,\n",
       " 'voice': 12,\n",
       " 'daughter': 13,\n",
       " 'thishe': 1,\n",
       " 'rests': 1,\n",
       " 'strewd': 1,\n",
       " 'leaves': 3,\n",
       " 'importund': 1,\n",
       " 'controversy': 1,\n",
       " 'suchaone': 1,\n",
       " 'natures': 3,\n",
       " 'tooat': 1,\n",
       " 'offendendo': 1,\n",
       " 'settled': 1,\n",
       " 'knavery': 2,\n",
       " 'golden': 3,\n",
       " 'swearing': 2,\n",
       " 'heedful': 1,\n",
       " 'divide': 2,\n",
       " 'rosencrantz': 26,\n",
       " 'straw': 2,\n",
       " 'summons': 1,\n",
       " 'brought': 6,\n",
       " 'patience': 5,\n",
       " 'meats': 1,\n",
       " 'drowned': 2,\n",
       " 'stern': 1,\n",
       " 'plumtree': 1,\n",
       " 'total': 1,\n",
       " 'circumvent': 1,\n",
       " 'plot': 1,\n",
       " 'ominous': 1,\n",
       " 'spoke': 2,\n",
       " 'army': 1,\n",
       " 'remainder': 1,\n",
       " 'beetles': 1,\n",
       " 'exhort': 1,\n",
       " 'arms': 9,\n",
       " 'tenders': 3,\n",
       " 'afterto': 1,\n",
       " 'mightiest': 1,\n",
       " 'call': 22,\n",
       " 'calm': 2,\n",
       " 'woult': 5,\n",
       " 'strike': 2,\n",
       " 'mutinies': 1,\n",
       " 'armd': 2,\n",
       " 'barkd': 1,\n",
       " 'didest': 1,\n",
       " 'calf': 1,\n",
       " 'breathe': 4,\n",
       " 'churchyard': 1,\n",
       " 'holy': 2,\n",
       " 'wary': 2,\n",
       " 'brings': 1,\n",
       " 'wart': 1,\n",
       " 'whirling': 1,\n",
       " 'wars': 2,\n",
       " 'portraiture': 1,\n",
       " 'hurt': 2,\n",
       " 'grief': 14,\n",
       " 'glass': 2,\n",
       " 'elsinore': 8,\n",
       " 'excellent': 10,\n",
       " 'continual': 1,\n",
       " 'hole': 1,\n",
       " 'hold': 25,\n",
       " 'unpack': 1,\n",
       " 'circumstances': 1,\n",
       " 'shoot': 1,\n",
       " 'shepherds': 1,\n",
       " 'alongor': 1,\n",
       " 'join': 2,\n",
       " 'room': 15,\n",
       " 'err': 1,\n",
       " 'rights': 2,\n",
       " 'pursue': 2,\n",
       " 'pursud': 1,\n",
       " 'ratifiers': 1,\n",
       " 'work': 10,\n",
       " 'eclipse': 1,\n",
       " 'worm': 3,\n",
       " 'roof': 1,\n",
       " 'ere': 12,\n",
       " 'foils': 6,\n",
       " 'reword': 1,\n",
       " 'shoon': 1,\n",
       " 'quarrel': 2,\n",
       " 'barbers': 1,\n",
       " 'compulsive': 1,\n",
       " 'exterior': 1,\n",
       " 'serpent': 2,\n",
       " 'give': 60,\n",
       " 'loosed': 1,\n",
       " 'ilium': 1,\n",
       " 'cataplasm': 1,\n",
       " 'unprofitable': 1,\n",
       " 'thatyou': 1,\n",
       " 'honey': 1,\n",
       " 'fay': 1,\n",
       " 'plautus': 1,\n",
       " 'indifferent': 3,\n",
       " 'consequenceay': 1,\n",
       " 'cautel': 1,\n",
       " 'absolute': 2,\n",
       " 'ceremony': 3,\n",
       " 'provincial': 1,\n",
       " 'comst': 1,\n",
       " 'end': 17,\n",
       " 'recovery': 1,\n",
       " 'turn': 7,\n",
       " 'provide': 1,\n",
       " 'travel': 2,\n",
       " 'sitting': 1,\n",
       " 'feature': 1,\n",
       " 'machine': 1,\n",
       " 'faults': 3,\n",
       " 'hot': 6,\n",
       " 'writers': 1,\n",
       " 'hor': 111,\n",
       " 'sate': 1,\n",
       " 'opposite': 1,\n",
       " 'answer': 14,\n",
       " 'thusi': 1,\n",
       " 'shortens': 1,\n",
       " 'embarkd': 1,\n",
       " 'aboard': 3,\n",
       " 'gaming': 3,\n",
       " 'rise': 2,\n",
       " 'sallets': 1,\n",
       " 'beauty': 6,\n",
       " 'mess': 3,\n",
       " 'vicious': 1,\n",
       " 'godgod': 1,\n",
       " 'wrong': 6,\n",
       " 'lay': 9,\n",
       " 'dye': 1,\n",
       " 'rendezvous': 1,\n",
       " 'chorus': 1,\n",
       " 'law': 7,\n",
       " 'lap': 2,\n",
       " 'commutual': 1,\n",
       " 'calves': 1,\n",
       " 'impatient': 1,\n",
       " 'scourge': 2,\n",
       " 'hasty': 1,\n",
       " 'grant': 1,\n",
       " 'prosperously': 1,\n",
       " 'greet': 1,\n",
       " 'purging': 2,\n",
       " 'sons': 2,\n",
       " 'haste': 13,\n",
       " 'ontfrailty': 1,\n",
       " 'enter': 66,\n",
       " 'roused': 1,\n",
       " 'alack': 3,\n",
       " 'mightier': 1,\n",
       " 'order': 3,\n",
       " 'wind': 11,\n",
       " 'offal': 1,\n",
       " 'modesty': 4,\n",
       " 'office': 1,\n",
       " 'consent': 4,\n",
       " 'govern': 1,\n",
       " 'satisfied': 1,\n",
       " 'selfslaughter': 1,\n",
       " 'sickly': 2,\n",
       " 'crimeful': 1,\n",
       " 'hems': 1,\n",
       " 'differencetheres': 1,\n",
       " 'carnal': 1,\n",
       " 'leperous': 1,\n",
       " 'clapped': 1,\n",
       " 'wonderwounded': 1,\n",
       " 'outface': 1,\n",
       " 'soles': 1,\n",
       " 'lovingly': 1,\n",
       " 'yond': 1,\n",
       " 'fit': 12,\n",
       " 'personal': 1,\n",
       " 'striking': 1,\n",
       " 'crew': 2,\n",
       " 'vast': 1,\n",
       " 'returneth': 1,\n",
       " 'fie': 5,\n",
       " 'whips': 2,\n",
       " 'admirable': 1,\n",
       " 'easier': 1,\n",
       " 'overcome': 1,\n",
       " 'split': 1,\n",
       " 'knowest': 1,\n",
       " 'poloniuss': 2,\n",
       " 'diseases': 1,\n",
       " 'prithee': 1,\n",
       " 'weakness': 2,\n",
       " 'thee': 58,\n",
       " 'safe': 2,\n",
       " 'bouts': 1,\n",
       " 'vouchers': 2,\n",
       " 'trail': 2,\n",
       " 'break': 8,\n",
       " 'diseased': 1,\n",
       " 'effects': 2,\n",
       " 'sixteen': 1,\n",
       " 'unwatchd': 1,\n",
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       " 'hypocrite': 1,\n",
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       " 'highlynot': 1,\n",
       " 'herald': 1,\n",
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       " 'sovereignty': 1,\n",
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       " 'fitness': 1,\n",
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       " 'rosemary': 1,\n",
       " 'side': 2,\n",
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       " 'lasting': 2,\n",
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       " 'lifted': 1,\n",
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       " 'ghosts': 1,\n",
       " 'truant': 2,\n",
       " 'message': 1,\n",
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       " 'contend': 1,\n",
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       " 'forts': 1,\n",
       " 'god': 28,\n",
       " 'ha': 10,\n",
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       " 'forty': 2,\n",
       " 'mason': 2,\n",
       " 'content': 3,\n",
       " 'fellowship': 2,\n",
       " 'laid': 6,\n",
       " 'remorse': 1,\n",
       " 'sizd': 1,\n",
       " 'easiness': 2,\n",
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       " 'newly': 1,\n",
       " 'millions': 1,\n",
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       " 'whiff': 1,\n",
       " 'steepd': 1,\n",
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       " 'revenge': 12,\n",
       " 'free': 11,\n",
       " 'mourning': 1,\n",
       " 'bestow': 4,\n",
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       " 'wrath': 1,\n",
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       " 'grained': 1,\n",
       " 'exposing': 1,\n",
       " 'iswe': 1,\n",
       " 'days': 6,\n",
       " 'ist': 16,\n",
       " 'quintessence': 1,\n",
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       " 'opposd': 1,\n",
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       " 'mountebank': 1,\n",
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       " 'hearing': 5,\n",
       " 'wash': 2,\n",
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       " 'thick': 3,\n",
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       " 'toy': 2,\n",
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       " 'galled': 1,\n",
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       " 'night': 31,\n",
       " 'tot': 8,\n",
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       " 'dogs': 1,\n",
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       " 'rewards': 2,\n",
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       " 'servd': 2,\n",
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       " 'respeaking': 1,\n",
       " 'tithe': 1,\n",
       " 'peculiar': 1,\n",
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       " 'mothercome': 1,\n",
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       " 'guild': 2,\n",
       " 'himbut': 1,\n",
       " 'frankly': 2,\n",
       " 'divulging': 1,\n",
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       " 'coward': 1,\n",
       " 'tree': 1,\n",
       " 'scenes': 1,\n",
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       " 'idle': 3,\n",
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       " 'flame': 2,\n",
       " 'expostulate': 1,\n",
       " 'esteemd': 1,\n",
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       " 'feeling': 3,\n",
       " 'powers': 3,\n",
       " 'foresaid': 1,\n",
       " 'fashion': 8,\n",
       " 'heavenkissing': 1,\n",
       " 'groaning': 1,\n",
       " 'objects': 1,\n",
       " 'gaudy': 1,\n",
       " 'lived': 1,\n",
       " 'mind': 11,\n",
       " 'mine': 32,\n",
       " 'spent': 1,\n",
       " 'raw': 1,\n",
       " 'rat': 3,\n",
       " 'seed': 1,\n",
       " 'clouts': 1,\n",
       " 'manner': 1,\n",
       " 'thaw': 1,\n",
       " 'ocean': 1,\n",
       " 'seek': 9,\n",
       " 'tells': 1,\n",
       " 'spade': 4,\n",
       " 'dozen': 3,\n",
       " 'affairs': 1,\n",
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       " 'strength': 2,\n",
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       " 'harrows': 1,\n",
       " 'hymen': 1,\n",
       " 'dooro': 1,\n",
       " 'snow': 4,\n",
       " 'impotent': 1,\n",
       " 'aptly': 1,\n",
       " 'knowst': 2,\n",
       " 'practices': 1,\n",
       " 'instructs': 1,\n",
       " 'luxury': 1,\n",
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       " 'cleft': 1,\n",
       " 'stoops': 1,\n",
       " 'lawless': 2,\n",
       " 'thumb': 1,\n",
       " 'maiden': 2,\n",
       " 'mother': 37,\n",
       " 'punishd': 1,\n",
       " 'fencing': 1,\n",
       " 'errors': 1,\n",
       " 'mouth': 6,\n",
       " 'devoutly': 1,\n",
       " 'letter': 1,\n",
       " 'exercises': 1,\n",
       " 'coted': 1,\n",
       " 'grave': 12,\n",
       " 'shalt': 5,\n",
       " 'potency': 1,\n",
       " 'observation': 1,\n",
       " 'alarm': 2,\n",
       " 'wreck': 1,\n",
       " 'metal': 1,\n",
       " 'dog': 2,\n",
       " 'valancd': 1,\n",
       " 'desirous': 1,\n",
       " 'orderly': 1,\n",
       " 'points': 2,\n",
       " 'falconers': 1,\n",
       " 'enterprise': 2,\n",
       " 'ducat': 1,\n",
       " 'left': 3,\n",
       " 'dot': 7,\n",
       " 'marvel': 1,\n",
       " 'mortisd': 1,\n",
       " 'bait': 1,\n",
       " 'antic': 1,\n",
       " 'timeas': 1,\n",
       " 'crust': 1,\n",
       " 'queen': 119,\n",
       " 'firewhy': 1,\n",
       " 'liest': 3,\n",
       " 'ending': 1,\n",
       " 'fennel': 1,\n",
       " 'liberty': 5,\n",
       " 'ulcer': 1,\n",
       " 'wrung': 1,\n",
       " 'nephew': 3,\n",
       " 'dove': 2,\n",
       " 'weaponsbut': 1,\n",
       " 'unworthiest': 1,\n",
       " 'termagant': 1,\n",
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       " 'divinity': 2,\n",
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       " 'spite': 1,\n",
       " 'sheeted': 1,\n",
       " 'delays': 1,\n",
       " 'folded': 1,\n",
       " 'mens': 3,\n",
       " 'commandment': 4,\n",
       " 'theme': 3,\n",
       " 'rich': 3,\n",
       " 'sharkd': 1,\n",
       " 'heartily': 3,\n",
       " 'lodgd': 1,\n",
       " 'bread': 1,\n",
       " 'frowningly': 1,\n",
       " 'scripture': 2,\n",
       " 'chamberlain': 1,\n",
       " 'wearing': 1,\n",
       " 'mixture': 1,\n",
       " 'compounded': 1,\n",
       " 'assayd': 1,\n",
       " 'observant': 1,\n",
       " 'watch': 15,\n",
       " 'perceive': 1,\n",
       " 'leisure': 4,\n",
       " 'pocket': 1,\n",
       " 'repose': 1,\n",
       " 'borrower': 1,\n",
       " 'altogether': 1,\n",
       " 'report': 5,\n",
       " 'nasty': 1,\n",
       " 'relish': 2,\n",
       " 'comply': 2,\n",
       " 'sweart': 1,\n",
       " 'runs': 2,\n",
       " 'bar': 1,\n",
       " 'brazd': 1,\n",
       " 'countries': 1,\n",
       " 'dipping': 1,\n",
       " 'capape': 1,\n",
       " 'patch': 2,\n",
       " 'bad': 6,\n",
       " 'softly': 1,\n",
       " 'friending': 1,\n",
       " 'ban': 1,\n",
       " 'shocks': 1,\n",
       " 'steal': 1,\n",
       " 'ears': 10,\n",
       " 'unworthy': 2,\n",
       " 'smoothness': 1,\n",
       " 'fair': 21,\n",
       " 'habit': 4,\n",
       " 'consummation': 1,\n",
       " 'prophesy': 2,\n",
       " 'insinuation': 1,\n",
       " 'proclaims': 2,\n",
       " 'goodnight': 4,\n",
       " 'hoodmanblind': 1,\n",
       " 'holding': 1,\n",
       " 'fail': 2,\n",
       " 'fain': 4,\n",
       " 'bythey': 1,\n",
       " 'subject': 2,\n",
       " 'pebbles': 1,\n",
       " 'voyage': 2,\n",
       " 'draws': 4,\n",
       " 'sail': 3,\n",
       " 'gentleman': 15,\n",
       " 'unsmirched': 1,\n",
       " 'bier': 1,\n",
       " 'prince': 5,\n",
       " 'pressures': 1,\n",
       " 'loth': 1,\n",
       " 'capons': 1,\n",
       " 'finger': 2,\n",
       " 'herb': 1,\n",
       " 'scorn': 1,\n",
       " 'sorts': 1,\n",
       " 'beshrew': 1,\n",
       " 'pirate': 1,\n",
       " 'discovery': 1,\n",
       " 'accord': 1,\n",
       " 'terms': 5,\n",
       " 'wears': 2,\n",
       " 'mincing': 1,\n",
       " 'nature': 27,\n",
       " 'truncheons': 1,\n",
       " 'diesi': 1,\n",
       " 'weak': 2,\n",
       " 'ignorance': 3,\n",
       " 'wi': 4,\n",
       " 'weary': 2,\n",
       " 'wastein': 1,\n",
       " 'fellowstudent': 1,\n",
       " 'wear': 4,\n",
       " 'unfold': 3,\n",
       " 'gentry': 2,\n",
       " 'news': 10,\n",
       " 'denmarkmadam': 1,\n",
       " 'debt': 1,\n",
       " 'swornt': 1,\n",
       " 'havior': 1,\n",
       " 'blasted': 2,\n",
       " 'definement': 1,\n",
       " 'pity': 4,\n",
       " 'behaviour': 2,\n",
       " 'essentially': 1,\n",
       " 'accident': 3,\n",
       " 'beck': 1,\n",
       " 'country': 3,\n",
       " 'ill': 62,\n",
       " 'conclusions': 1,\n",
       " 'stirrd': 1,\n",
       " 'jelly': 1,\n",
       " 'demanded': 1,\n",
       " 'incensd': 1,\n",
       " 'clambring': 1,\n",
       " 'pith': 3,\n",
       " 'tediousness': 1,\n",
       " 'receives': 1,\n",
       " 'faces': 2,\n",
       " 'hypocrites': 1,\n",
       " 'expense': 1,\n",
       " 'groans': 1,\n",
       " 'asked': 1,\n",
       " 'skill': 3,\n",
       " 'springi': 1,\n",
       " 'posthaste': 1,\n",
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       " 'height': 1,\n",
       " 'directions': 1,\n",
       " 'guil': 35,\n",
       " 'springs': 1,\n",
       " 'trust': 2,\n",
       " 'speak': 62,\n",
       " 'conference': 1,\n",
       " 'omen': 1,\n",
       " 'petty': 2,\n",
       " 'proceeded': 1,\n",
       " 'unhappily': 1,\n",
       " 'puts': 4,\n",
       " 'eager': 2,\n",
       " 'union': 2,\n",
       " 'muddied': 1,\n",
       " 'buffets': 1,\n",
       " 'quarrelling': 1,\n",
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       " 'commission': 5,\n",
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       " 'statists': 1,\n",
       " 'crafty': 1,\n",
       " 'thrice': 4,\n",
       " 'duties': 1,\n",
       " 'life': 33,\n",
       " 'innocent': 1,\n",
       " 'hies': 1,\n",
       " 'drugs': 1,\n",
       " 'suppress': 2,\n",
       " 'speeches': 1,\n",
       " 'enterprises': 1,\n",
       " 'substance': 2,\n",
       " 'upspring': 1,\n",
       " 'child': 2,\n",
       " 'catch': 2,\n",
       " 'doth': 27,\n",
       " 'pitiful': 1,\n",
       " 'gracious': 5,\n",
       " 'ordnance': 3,\n",
       " 'commerce': 1,\n",
       " 'exception': 1,\n",
       " 'east': 1,\n",
       " 'possessd': 1,\n",
       " 'fallingoff': 1,\n",
       " 'apprehension': 2,\n",
       " 'auntmother': 1,\n",
       " 'murderd': 1,\n",
       " 'air': 12,\n",
       " 'lesser': 1,\n",
       " 'ugly': 1,\n",
       " 'stopping': 1,\n",
       " 'wonted': 2,\n",
       " 'cracked': 1,\n",
       " 'property': 4,\n",
       " 'study': 1,\n",
       " 'skirts': 1,\n",
       " 'levies': 2,\n",
       " 'donemust': 1,\n",
       " 'soild': 1,\n",
       " 'played': 1,\n",
       " 'truster': 1,\n",
       " 'sting': 2,\n",
       " 'iv': 4,\n",
       " 'ii': 6,\n",
       " 'player': 5,\n",
       " 'penetrable': 1,\n",
       " 'dizzy': 1,\n",
       " 'im': 1,\n",
       " 'jest': 3,\n",
       " 'levied': 1,\n",
       " 'mouse': 2,\n",
       " 'bounteous': 1,\n",
       " 'villanies': 1,\n",
       " 'grown': 4,\n",
       " 'husbandlook': 1,\n",
       " 'perform': 1,\n",
       " 'things': 12,\n",
       " 'make': 55,\n",
       " 'cellarage': 1,\n",
       " 'onyou': 1,\n",
       " 'villanous': 1,\n",
       " 'rebellion': 1,\n",
       " 'forehead': 2,\n",
       " 'sailors': 4,\n",
       " 'grapple': 2,\n",
       " 'harmony': 1,\n",
       " 'bands': 1,\n",
       " 'outadieu': 1,\n",
       " 'grows': 4,\n",
       " 'bells': 1,\n",
       " 'wheel': 3,\n",
       " 'fairly': 1,\n",
       " 'fust': 1,\n",
       " 'suchlike': 1,\n",
       " 'wellfollow': 1,\n",
       " 'inheritor': 1,\n",
       " 'milky': 1,\n",
       " 'hang': 4,\n",
       " 'evil': 3,\n",
       " 'hand': 19,\n",
       " 'delight': 3,\n",
       " 'scarfd': 1,\n",
       " 'portal': 1,\n",
       " 'kin': 2,\n",
       " 'supper': 2,\n",
       " 'palpable': 1,\n",
       " 'blister': 1,\n",
       " 'tune': 2,\n",
       " 'dotdost': 1,\n",
       " 'narrow': 1,\n",
       " 'shortly': 4,\n",
       " 'entreated': 1,\n",
       " 'thy': 86,\n",
       " 'tweaks': 1,\n",
       " 'performance': 1,\n",
       " 'youre': 1,\n",
       " 'taint': 1,\n",
       " 'bonny': 1,\n",
       " 'potently': 1,\n",
       " 'charity': 1,\n",
       " 'rome': 2,\n",
       " 'incapable': 1,\n",
       " 'humbly': 5,\n",
       " 'hearts': 3,\n",
       " 'investments': 1,\n",
       " 'redeliver': 2,\n",
       " 'opinions': 2,\n",
       " 'nobility': 1,\n",
       " 'bellow': 1,\n",
       " 'givers': 1,\n",
       " 'capitol': 1,\n",
       " 'sleeps': 3,\n",
       " 'diameter': 1,\n",
       " 'yea': 4,\n",
       " 'gods': 5,\n",
       " 'beteem': 1,\n",
       " 'sledded': 1,\n",
       " 'poniards': 1,\n",
       " 'somethingsettled': 1,\n",
       " 'proposer': 1,\n",
       " 'calfskins': 1,\n",
       " 'hark': 1,\n",
       " 'unprevailing': 1,\n",
       " 'outlives': 1,\n",
       " 'scattering': 1,\n",
       " 'seducewon': 1,\n",
       " 'secure': 2,\n",
       " 'admittance': 1,\n",
       " 'enters': 1,\n",
       " 'ham': 358,\n",
       " 'instance': 1,\n",
       " 'burnt': 1,\n",
       " 'ease': 4,\n",
       " 'royal': 3,\n",
       " 'advancement': 2,\n",
       " 'countrys': 1,\n",
       " 'spread': 2,\n",
       " 'board': 1,\n",
       " 'easy': 2,\n",
       " 'prison': 5,\n",
       " 'hap': 1,\n",
       " 'hillo': 1,\n",
       " 'fares': 2,\n",
       " 'save': 5,\n",
       " 'hat': 4,\n",
       " 'humanity': 1,\n",
       " 'gave': 8,\n",
       " 'desire': 7,\n",
       " 'commencement': 1,\n",
       " 'denmarkwhat': 1,\n",
       " 'capt': 7,\n",
       " 'advances': 1,\n",
       " 'breaks': 2,\n",
       " 'combination': 1,\n",
       " 'thews': 1,\n",
       " 'caps': 1,\n",
       " 'opd': 1,\n",
       " 'auspicious': 1,\n",
       " 'marriages': 1,\n",
       " 'birth': 3,\n",
       " 'destroy': 2,\n",
       " 'judge': 3,\n",
       " 'dreamt': 1,\n",
       " 'shadow': 3,\n",
       " 'burns': 2,\n",
       " 'oph': 58,\n",
       " 'scruple': 1,\n",
       " 'dreams': 3,\n",
       " 'shoulder': 3,\n",
       " 'dignity': 2,\n",
       " 'frenchman': 1,\n",
       " 'foolery': 1,\n",
       " 'contumely': 1,\n",
       " 'bruit': 1,\n",
       " 'private': 1,\n",
       " 'offices': 1,\n",
       " 'officer': 2,\n",
       " 'prologue': 5,\n",
       " 'hung': 1,\n",
       " 'loathsome': 1,\n",
       " 'observersquite': 1,\n",
       " 'antique': 2,\n",
       " 'deal': 1,\n",
       " 'people': 1,\n",
       " 'sends': 3,\n",
       " 'flatter': 1,\n",
       " 'repulseda': 1,\n",
       " 'murderpray': 1,\n",
       " 'crown': 6,\n",
       " 'dead': 32,\n",
       " 'sponge': 2,\n",
       " 'revel': 1,\n",
       " 'comest': 1,\n",
       " 'election': 3,\n",
       " 'escape': 2,\n",
       " 'dear': 28,\n",
       " 'prick': 1,\n",
       " 'bore': 4,\n",
       " 'eer': 1,\n",
       " 'creep': 1,\n",
       " 'enemies': 2,\n",
       " 'ungracious': 1,\n",
       " 'donnd': 1,\n",
       " 'perchance': 5,\n",
       " 'theatre': 1,\n",
       " 'parley': 1,\n",
       " 'richer': 2,\n",
       " 'boughs': 1,\n",
       " 'pregnant': 2,\n",
       " 'fox': 1,\n",
       " 'headshake': 1,\n",
       " 'ice': 2,\n",
       " 'foe': 2,\n",
       " 'honoured': 1,\n",
       " 'shakespeare': 1,\n",
       " 'denied': 1,\n",
       " 'wandering': 1,\n",
       " 'confusion': 1,\n",
       " 'beating': 3,\n",
       " 'beget': 1,\n",
       " 'incontinency': 1,\n",
       " 'exeunt': 36,\n",
       " 'youwhy': 1,\n",
       " 'bold': 3,\n",
       " 'encumberd': 1,\n",
       " 'discord': 1,\n",
       " 'daughteryet': 1,\n",
       " 'burn': 2,\n",
       " 'jester': 1,\n",
       " 'ply': 1,\n",
       " 'parle': 1,\n",
       " 'passeth': 1,\n",
       " 'cozenageist': 1,\n",
       " 'sift': 1,\n",
       " 'voltimand': 7,\n",
       " 'masterly': 1,\n",
       " 'encompassment': 1,\n",
       " 'posy': 1,\n",
       " 'losing': 1,\n",
       " 'peep': 2,\n",
       " 'blackest': 1,\n",
       " 'proceed': 2,\n",
       " 'trophy': 1,\n",
       " 'haply': 3,\n",
       " 'accepts': 1,\n",
       " 'shards': 1,\n",
       " 'flourishes': 1,\n",
       " 'speedier': 1,\n",
       " 'eyases': 1,\n",
       " 'afternoon': 1,\n",
       " 'slightly': 2,\n",
       " 'marshal': 1,\n",
       " 'strucken': 1,\n",
       " 'treble': 2,\n",
       " 'nerve': 1,\n",
       " 'whats': 12,\n",
       " 'presence': 3,\n",
       " 'pays': 1,\n",
       " 'profession': 1,\n",
       " ...}"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict(togethersorted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "unzipped=zip(*togethersorted)\n",
    "df = pd.DataFrame.from_dict({'word':unzipped[0],'num':unzipped[1]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>frequency</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>word</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ham</th>\n",
       "      <td>358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lord</th>\n",
       "      <td>223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>king</th>\n",
       "      <td>195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>queen</th>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hor</th>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thou</th>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hamlet</th>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>good</th>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thy</th>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pol</th>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tis</th>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sir</th>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>enter</th>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>love</th>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hath</th>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ill</th>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>speak</th>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>laer</th>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>give</th>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thee</th>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oph</th>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>make</th>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ros</th>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>man</th>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>father</th>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clown</th>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>laertes</th>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>horatio</th>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>heaven</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>deadnay</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>godkissing</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>infect</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>behold</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wing</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>illusion</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reckless</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>monday</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>respects</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oppression</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>overhappy</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vulcans</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quietus</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>earthly</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>squeak</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rhapsody</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>christians</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cliff</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pestilence</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bulwark</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>transports</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>themstand</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rule</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>showd</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>devise</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>northerly</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>presentment</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>greeks</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accidents</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jawbone</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4618 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             frequency\n",
       "word                  \n",
       "ham                358\n",
       "lord               223\n",
       "king               195\n",
       "queen              119\n",
       "hor                111\n",
       "thou               104\n",
       "hamlet             101\n",
       "good               100\n",
       "thy                 86\n",
       "pol                 86\n",
       "tis                 73\n",
       "sir                 73\n",
       "enter               66\n",
       "love                66\n",
       "hath                64\n",
       "ill                 62\n",
       "speak               62\n",
       "laer                62\n",
       "give                60\n",
       "thee                58\n",
       "oph                 58\n",
       "make                55\n",
       "ros                 53\n",
       "man                 52\n",
       "father              51\n",
       "                    48\n",
       "clown               47\n",
       "laertes             45\n",
       "horatio             44\n",
       "heaven              43\n",
       "...                ...\n",
       "deadnay              1\n",
       "godkissing           1\n",
       "infect               1\n",
       "behold               1\n",
       "wing                 1\n",
       "illusion             1\n",
       "reckless             1\n",
       "monday               1\n",
       "respects             1\n",
       "oppression           1\n",
       "overhappy            1\n",
       "vulcans              1\n",
       "quietus              1\n",
       "earthly              1\n",
       "squeak               1\n",
       "rhapsody             1\n",
       "christians           1\n",
       "cliff                1\n",
       "pestilence           1\n",
       "bulwark              1\n",
       "transports           1\n",
       "themstand            1\n",
       "rule                 1\n",
       "showd                1\n",
       "devise               1\n",
       "northerly            1\n",
       "presentment          1\n",
       "greeks               1\n",
       "accidents            1\n",
       "jawbone              1\n",
       "\n",
       "[4618 rows x 1 columns]"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hamdf=df.set_index('word').rename(columns={'num':'frequency'})\n",
    "hamdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10abde9d0>"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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MGFodl3H3KWm/gKpiJAaqypGeIqYBA4CZ1QK/AW4mXGR5IzCZVpUwZrYucCew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\n+4kAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10abde390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hamdf[:20].plot(kind=\"barh\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}