exercise3_hamlet.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 3: Hamlet Act I\n",
    "#### 2019 June 4\n",
    "   `Cameron.Cn`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# txt file is from Project Gutenberg\n",
    "# importing our text file, make sure it is 'read mode'\n",
    "ham = \"\"\n",
    "with open('hamlet-act1.txt', 'r') as f:\n",
    "        ham = f.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'THE TRAGEDY OF HAMLET, PRINCE OF DENMARK\\n\\n\\nby William Shakespeare\\n\\n\\n\\nDramatis Personae\\n\\n  Claudius, King of Denmark.\\n  M'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#looking at the text data\n",
    "ham[:120]\n",
    "\n",
    "# the output is messy and full of \\n and other intrusive marks (for our purposes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "THE TRAGEDY OF HAMLET, PRINCE OF DENMARK\n",
      "\n",
      "\n",
      "by William Shakespeare\n",
      "\n",
      "\n",
      "\n",
      "Dramatis Personae\n",
      "\n",
      "  Claudius, King of Denmark.\n",
      "  M\n"
     ]
    }
   ],
   "source": [
    "# pretty look\n",
    "print(ham[:120])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['THE', 'TRAGEDY', 'OF', 'HAMLET,', 'PRINCE', 'OF', 'DENMARK', 'by', 'William', 'Shakespeare', 'Dramatis', 'Personae', 'Claudius,', 'King', 'of', 'Denmark.', 'Marcellus,', 'Officer.', 'Hamlet,', 'son', 'to', 'the', 'former,', 'and', 'nephew', 'to', 'the', 'present', 'king.', 'Polonius,', 'Lord', 'Chamberlain.', 'Horatio,', 'friend', 'to', 'Hamlet.', 'Laertes,', 'son', 'to', 'Polonius.', 'Voltemand,', '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,', 'gravediggers.', 'Fortinbras,', 'Prince', 'of', 'Norway.', 'A', 'Norwegian', 'Captain.', 'English', 'Ambassadors.', 'Getrude,', 'Queen', 'of', 'Denmark,', 'mother', 'to', 'Hamlet.', 'Ophelia,', 'daughter', 'to', 'Polonius.', 'Ghost', 'of', \"Hamlet's\", 'Father.', 'Lords,', 'ladies,', 'Officers,', 'Soldiers,', 'Sailors,', 'Messengers,', 'Attendants.', 'SCENE.-', 'Elsinore.', 'ACT', 'I.', 'Scene', 'I.', 'Elsinore.', 'A', 'platform', 'before', 'the', 'Castle.', 'Enter', 'two', 'Sentinels-[first,]', 'Francisco,', '[who', 'paces', 'up']\n"
     ]
    }
   ],
   "source": [
    "# carving out individual words from Hamlet\n",
    "list_1 = ham.split() \n",
    "print(list_1[:120]) # inspect the first 120 words or items from this list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "THE TRAGEDY OF HAMLET PRINCE OF DENMARK\n",
      "\n",
      "\n",
      "by William Shakespeare\n",
      "\n",
      "\n",
      "\n",
      "Dramatis Personae\n",
      "\n",
      "  Claudius King of Denmark\n",
      "  Marcellus Officer\n",
      "  Hamlet son to the former and nephew to the present king\n",
      "  Polonius Lord Chamberlain\n",
      "  Horatio friend to Hamlet\n",
      "  Laertes son to Polonius\n",
      "  Voltemand courtier\n",
      "  Cornelius courtier\n",
      "  Rosencrantz courtier\n",
      "  Guildenstern courtier\n",
      "  Osric courtier\n",
      "  A Gentleman courtier\n",
      "  A Priest\n",
      "  Marcellus officer\n",
      "  Bernardo officer\n",
      "  Francisco a soldier\n",
      "  Reynaldo servant to Polo\n"
     ]
    }
   ],
   "source": [
    "# let's get rid of punctuation, like that messy single quote (') just there\n",
    "\n",
    "ham_2 = \"\"\n",
    "punct = [\",\",\"'\",\".\",\"?\",\"!\",\"[\",\"]\",\";\",'\"',\"-\",\"(\",\")\",\"\"] # a god awful amount of punctuation--without the olde englishe\n",
    "for letter in ham:\n",
    "    if letter not in punct:\n",
    "        ham_2 += letter\n",
    "        \n",
    "print(ham_2[:500]) # inspect ham_2 to the 500th current character"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "182508"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ham_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the tragedy of hamlet prince of denmark\n",
      "\n",
      "\n",
      "by william shakespeare\n",
      "\n",
      "\n",
      "\n",
      "dramatis personae\n",
      "\n",
      "  claudius king of denmark\n",
      "  marcellus officer\n",
      "  haml\n"
     ]
    }
   ],
   "source": [
    "# making a third data set (ham_3) that is all lowercase\n",
    "ham_3 = str.lower(ham_2)\n",
    "print(ham_3[:140])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Making a dictionary of unique words etc\n",
    "\n",
    "list_2 = ham_3.split()\n",
    "set_1 = set(list_2)\n",
    "# print(set_1) # works, but is HUGE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# making a dictionary where values are 0\n",
    "dict_1 = dict.fromkeys(set_1,0)\n",
    "# print(dict_1) # works, but is HUGE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# now, updating count value\n",
    "\n",
    "for word in list_2:\n",
    "    if word in dict_1:\n",
    "        dict_1[word] += 1\n",
    "# print(dict_1)   # works, but is HUGE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 4817 unique words in Act I! That's a large vocabulary!\n"
     ]
    }
   ],
   "source": [
    "# looking at the dictionary list\n",
    "wcount = len(dict_1)\n",
    "print(\"There are {} unique words in Act I! That's a large vocabulary!\".format(wcount))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the: 1090\n",
      "and: 964\n",
      "to: 742\n",
      "of: 675\n",
      "i: 577\n",
      "a: 558\n",
      "you: 554\n",
      "my: 520\n",
      "in: 434\n",
      "it: 419\n",
      "that: 389\n",
      "ham: 358\n",
      "is: 345\n",
      "not: 315\n",
      "his: 304\n",
      "this: 299\n",
      "with: 276\n",
      "but: 274\n",
      "for: 250\n",
      "your: 242\n",
      "me: 234\n",
      "as: 227\n",
      "lord: 224\n",
      "be: 223\n",
      "he: 213\n",
      "what: 208\n",
      "him: 197\n",
      "king: 196\n",
      "so: 196\n",
      "have: 183\n",
      "will: 172\n",
      "do: 150\n",
      "no: 142\n",
      "we: 140\n",
      "are: 132\n",
      "on: 128\n",
      "o: 124\n",
      "all: 122\n",
      "queen: 120\n",
      "our: 120\n",
      "or: 115\n",
      "shall: 114\n",
      "if: 114\n",
      "by: 111\n",
      "good: 109\n",
      "hor: 109\n",
      "hamlet: 106\n",
      "come: 106\n",
      "thou: 105\n",
      "they: 101\n",
      "now: 98\n",
      "let: 96\n",
      "from: 95\n",
      "more: 95\n",
      "her: 91\n",
      "well: 90\n",
      "how: 90\n",
      "at: 87\n",
      "thy: 86\n",
      "pol: 86\n",
      "was: 84\n",
      "most: 82\n",
      "would: 81\n",
      "like: 81\n",
      "there: 77\n",
      "sir: 75\n",
      "them: 74\n",
      "know: 74\n",
      "enter: 73\n",
      "tis: 73\n",
      "th: 72\n",
      "may: 71\n",
      "go: 71\n",
      "us: 70\n",
      "love: 66\n",
      "very: 66\n",
      "did: 65\n",
      "hath: 65\n",
      "then: 65\n",
      "which: 64\n",
      "why: 64\n",
      "speak: 63\n",
      "laer: 62\n",
      "ill: 62\n",
      "must: 61\n",
      "give: 60\n",
      "thee: 59\n",
      "oph: 58\n",
      "their: 57\n",
      "an: 56\n",
      "when: 56\n",
      "am: 56\n",
      "such: 56\n",
      "should: 56\n",
      "here: 55\n",
      "upon: 55\n",
      "make: 55\n",
      "say: 54\n",
      "out: 54\n",
      "where: 54\n",
      "some: 53\n",
      "father: 52\n",
      "man: 52\n",
      "too: 50\n",
      "than: 50\n",
      "much: 48\n",
      "one: 47\n",
      "she: 47\n",
      "these: 47\n",
      "think: 47\n",
      "horatio: 47\n",
      "time: 46\n",
      "laertes: 46\n",
      "play: 45\n",
      "heaven: 45\n",
      "ros: 45\n",
      "see: 44\n",
      "who: 44\n",
      "had: 44\n",
      "yet: 43\n",
      "tell: 43\n",
      "exit: 40\n",
      "thus: 40\n",
      "mother: 39\n",
      "own: 39\n",
      "up: 39\n",
      "ay: 38\n",
      "death: 37\n",
      "look: 37\n",
      "nor: 37\n",
      "exeunt: 37\n",
      "clown: 36\n",
      "take: 36\n",
      "polonius: 36\n",
      "night: 36\n",
      "both: 35\n",
      "soul: 34\n",
      "can: 34\n",
      "again: 34\n",
      "ghost: 34\n",
      "life: 33\n",
      "god: 32\n",
      "mar: 32\n",
      "might: 32\n",
      "whose: 32\n",
      "hear: 32\n",
      "could: 32\n",
      "mine: 31\n",
      "indeed: 31\n",
      "dead: 31\n",
      "made: 30\n",
      "nothing: 30\n",
      "guildenstern: 30\n",
      "dear: 29\n",
      "guil: 29\n",
      "cannot: 29\n",
      "ophelia: 29\n",
      "hold: 29\n",
      "heart: 29\n",
      "into: 28\n",
      "been: 28\n",
      "other: 28\n",
      "pray: 28\n",
      "leave: 28\n",
      "down: 28\n",
      "doth: 28\n",
      "were: 27\n",
      "matter: 27\n",
      "rosencrantz: 26\n",
      "does: 26\n",
      "two: 26\n",
      "great: 26\n",
      "nay: 26\n",
      "nature: 26\n",
      "never: 26\n",
      "comes: 25\n",
      "world: 25\n",
      "away: 25\n",
      "osr: 25\n",
      "sweet: 25\n",
      "part: 25\n",
      "head: 25\n",
      "though: 24\n",
      "against: 24\n",
      "earth: 24\n",
      "itself: 24\n",
      "scene: 24\n",
      "put: 24\n",
      "show: 23\n",
      "elsinore: 23\n",
      "players: 23\n",
      "denmark: 23\n",
      "eyes: 23\n",
      "even: 23\n",
      "within: 22\n",
      "done: 22\n",
      "madness: 22\n",
      "seen: 22\n",
      "son: 22\n",
      "call: 22\n",
      "before: 22\n",
      "set: 22\n",
      "day: 21\n",
      "those: 21\n",
      "mad: 21\n",
      "off: 21\n",
      "true: 21\n",
      "follow: 21\n",
      "himself: 21\n",
      "means: 20\n",
      "fear: 20\n",
      "england: 20\n",
      "old: 20\n",
      "till: 20\n",
      "friends: 20\n",
      "words: 20\n",
      "fair: 20\n",
      "fathers: 20\n",
      "poor: 20\n",
      "ber: 20\n",
      "still: 20\n",
      "believe: 19\n",
      "keep: 19\n",
      "act: 19\n",
      "aside: 19\n",
      "once: 19\n",
      "without: 19\n",
      "blood: 19\n",
      "first: 19\n",
      "theres: 18\n",
      "many: 18\n",
      "makes: 18\n",
      "little: 18\n",
      "thing: 18\n",
      "hand: 18\n",
      "young: 18\n",
      "ist: 18\n",
      "about: 18\n",
      "end: 18\n",
      "else: 18\n",
      "cause: 17\n",
      "ear: 17\n",
      "noble: 17\n",
      "sword: 17\n",
      "since: 17\n",
      "art: 17\n",
      "find: 17\n",
      "long: 17\n",
      "thoughts: 17\n",
      "welcome: 17\n",
      "farewell: 17\n",
      "body: 17\n",
      "gentleman: 16\n",
      "faith: 16\n",
      "live: 16\n",
      "daughter: 16\n",
      "youth: 16\n",
      "thats: 16\n",
      "majesty: 16\n",
      "hast: 16\n",
      "marry: 16\n",
      "speech: 16\n",
      "use: 16\n",
      "bear: 15\n",
      "castle: 15\n",
      "yourself: 15\n",
      "mark: 15\n",
      "better: 15\n",
      "question: 15\n",
      "said: 15\n",
      "after: 15\n",
      "eye: 15\n",
      "drink: 15\n",
      "therefore: 15\n",
      "stand: 15\n",
      "state: 15\n",
      "tongue: 15\n",
      "between: 15\n",
      "fortinbras: 15\n",
      "watch: 15\n",
      "gertrude: 14\n",
      "dost: 14\n",
      "murther: 14\n",
      "friend: 14\n",
      "while: 14\n",
      "reason: 14\n",
      "goes: 14\n",
      "lady: 14\n",
      "oer: 14\n",
      "gentlemen: 14\n",
      "last: 14\n",
      "grief: 14\n",
      "gone: 14\n",
      "ho: 14\n",
      "something: 14\n",
      "sings: 14\n",
      "spirit: 14\n",
      "rest: 14\n",
      "answer: 14\n",
      "thine: 14\n",
      "ever: 13\n",
      "sent: 13\n",
      "air: 13\n",
      "form: 13\n",
      "duty: 13\n",
      "rey: 13\n",
      "grace: 13\n",
      "norway: 13\n",
      "another: 13\n",
      "lets: 13\n",
      "room: 13\n",
      "ourselves: 13\n",
      "sense: 13\n",
      "none: 13\n",
      "heard: 13\n",
      "virtue: 13\n",
      "purpose: 12\n",
      "further: 12\n",
      "haste: 12\n",
      "saw: 12\n",
      "madam: 12\n",
      "ere: 12\n",
      "myself: 12\n",
      "oft: 12\n",
      "stay: 12\n",
      "marcellus: 12\n",
      "same: 12\n",
      "any: 12\n",
      "please: 12\n",
      "revenge: 12\n",
      "has: 12\n",
      "things: 12\n",
      "remember: 12\n",
      "fire: 12\n",
      "men: 12\n",
      "twere: 12\n",
      "kind: 12\n",
      "together: 12\n",
      "fit: 12\n",
      "help: 12\n",
      "being: 12\n",
      "int: 12\n",
      "bring: 12\n",
      "voice: 12\n",
      "mind: 12\n",
      "full: 11\n",
      "sleep: 11\n",
      "right: 11\n",
      "face: 11\n",
      "business: 11\n",
      "name: 11\n",
      "way: 11\n",
      "best: 11\n",
      "villain: 11\n",
      "foul: 11\n",
      "bed: 11\n",
      "mean: 11\n",
      "second: 11\n",
      "thousand: 11\n",
      "whats: 11\n",
      "hands: 11\n",
      "near: 11\n",
      "grave: 11\n",
      "far: 11\n",
      "passion: 11\n",
      "word: 11\n",
      "honest: 11\n",
      "thought: 11\n",
      "deed: 11\n",
      "hell: 11\n",
      "each: 11\n",
      "tonight: 11\n",
      "fortune: 11\n",
      "een: 11\n",
      "wind: 11\n",
      "almost: 10\n",
      "excellent: 10\n",
      "action: 10\n",
      "courtier: 10\n",
      "thanks: 10\n",
      "takes: 10\n",
      "soft: 10\n",
      "fine: 10\n",
      "fellow: 10\n",
      "awhile: 10\n",
      "news: 10\n",
      "hamlets: 10\n",
      "swear: 10\n",
      "given: 10\n",
      "alone: 10\n",
      "neither: 10\n",
      "honour: 10\n",
      "peace: 10\n",
      "skull: 10\n",
      "noise: 10\n",
      "phrase: 10\n",
      "hes: 10\n",
      "aught: 10\n",
      "arms: 10\n",
      "work: 10\n",
      "seem: 10\n",
      "memory: 10\n",
      "doubt: 10\n",
      "late: 10\n",
      "lie: 10\n",
      "command: 10\n",
      "free: 10\n",
      "alas: 10\n",
      "bernardo: 9\n",
      "draw: 9\n",
      "letters: 9\n",
      "fall: 9\n",
      "brothers: 9\n",
      "sun: 9\n",
      "ears: 9\n",
      "offence: 9\n",
      "sight: 9\n",
      "get: 9\n",
      "attendants: 9\n",
      "fell: 9\n",
      "place: 9\n",
      "dot: 9\n",
      "walk: 9\n",
      "three: 9\n",
      "behind: 9\n",
      "strange: 9\n",
      "gives: 9\n",
      "brother: 9\n",
      "lost: 9\n",
      "through: 9\n",
      "thank: 9\n",
      "sure: 9\n",
      "seek: 9\n",
      "uncle: 9\n",
      "breath: 9\n",
      "came: 9\n",
      "light: 9\n",
      "lay: 9\n",
      "age: 9\n",
      "meet: 9\n",
      "custom: 9\n",
      "ground: 9\n",
      "pyrrhus: 9\n",
      "kings: 9\n",
      "looks: 8\n",
      "quick: 8\n",
      "tot: 8\n",
      "service: 8\n",
      "hour: 8\n",
      "flourish: 8\n",
      "hope: 8\n",
      "unto: 8\n",
      "woe: 8\n",
      "wherein: 8\n",
      "grow: 8\n",
      "truly: 8\n",
      "tears: 8\n",
      "charge: 8\n",
      "hither: 8\n",
      "heavens: 8\n",
      "shame: 8\n",
      "break: 8\n",
      "joy: 8\n",
      "falls: 8\n",
      "heres: 8\n",
      "power: 8\n",
      "music: 8\n",
      "fashion: 8\n",
      "lordship: 8\n",
      "back: 8\n",
      "judgment: 8\n",
      "adieu: 8\n",
      "conscience: 8\n",
      "wife: 8\n",
      "shows: 8\n",
      "fran: 8\n",
      "husband: 8\n",
      "ont: 8\n",
      "wilt: 8\n",
      "black: 8\n",
      "sit: 8\n",
      "every: 8\n",
      "known: 8\n",
      "devil: 8\n",
      "pale: 8\n",
      "gave: 8\n",
      "particular: 8\n",
      "less: 8\n",
      "wholesome: 7\n",
      "t: 7\n",
      "receive: 7\n",
      "die: 7\n",
      "dust: 7\n",
      "fool: 7\n",
      "soldiers: 7\n",
      "fortunes: 7\n",
      "turn: 7\n",
      "capt: 7\n",
      "desire: 7\n",
      "needs: 7\n",
      "woman: 7\n",
      "whole: 7\n",
      "loves: 7\n",
      "says: 7\n",
      "drownd: 7\n",
      "sound: 7\n",
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     ]
    }
   ],
   "source": [
    "# now we are sorting by VALUE from the largest to the least\n",
    "# the lowest value is 3, and there are many words there\n",
    "# interesting, to be expected (the, and, of) are in the top few\n",
    "\n",
    "# code taken from https://www.saltycrane.com/blog/2007/09/how-to-sort-python-dictionary-by-keys/\n",
    "\n",
    "for key, value in sorted(dict_1.items(), key=lambda item: item[1], reverse=True): # reverse to show keys large to small\n",
    "    print(\"%s: %s\" % (key, value)) # PITA to get the %s working here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# d = { \"a\":4, \"c\":3, \"b\":12 }\n",
    "# d_view = [ (v,k) for k,v in d.iteritems() ]\n",
    "# d_view.sort(reverse=True) # natively sort tuples by first element\n",
    "# for v,k in d_view:\n",
    "#     print \"%s: %d\" % (k,v)\n",
    "\n",
    "# failed attempts\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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