Ch7_Text II.ipynb

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 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['r', 'o', 't', 'o', 'r']"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list('rotor')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "to_test = list('rotor')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['c', 'b', 'a']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test = ['a','b','c']\n",
    "test.reverse()\n",
    "test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "word = 'hierarchy'\n",
    "backlist = list(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['h', 'i', 'e', 'r', 'a', 'r', 'c', 'h', 'y']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "backlist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['y', 'h', 'c', 'r', 'a', 'r', 'e', 'i', 'h']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "backlist.reverse()\n",
    "backlist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['h', 'i', 'e', 'r', 'a', 'r', 'c', 'h', 'y']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word\n",
    "list(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def pal(word):\n",
    "    backlist = list(word)\n",
    "    backlist.reverse()\n",
    "    return backlist == list(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pal('Civic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pal('civic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def pal(word):\n",
    "    word = word.lower()\n",
    "    backlist = list(word)\n",
    "    backlist.reverse()\n",
    "    return backlist == list(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pal('Civic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'zyxwvutsrqponmlkjihgfedcba'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'abcdefghijklmnopqrstuvwxyz'[::-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'abcdefghijklmnopqrstuvwxyz'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alpha = 'abcdefghijklmnopqrstuvwxyz'\n",
    "alphaback = alpha[::-1]\n",
    "alpha"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'zyxwvutsrqponmlkjihgfedcba'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alphaback"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'c'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "original = 'Civic'\n",
    "string = original.lower()\n",
    "string[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'c'"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "string[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "string[0] == string[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "right = -1\n",
    "pal = True\n",
    "for letter in string:\n",
    "    pal = (pal and (letter == string[right]))\n",
    "    right = right - 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cc: True\n",
      "ii: True\n",
      "vv: True\n",
      "ii: True\n",
      "cc: True\n"
     ]
    }
   ],
   "source": [
    "right = -1\n",
    "pal = True\n",
    "for letter in string:\n",
    "        pal = (pal and (letter == string[right]))\n",
    "        print letter + string[right] + ': ' + str(letter == string[right])\n",
    "        right = right - 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def pali(string):\n",
    "    right = -1\n",
    "    pal = True\n",
    "    for letter in string:\n",
    "        pal = (pal and (letter == string[right]))\n",
    "        print letter + string[right] + ': ' + str(letter == string[right])\n",
    "        right = right - 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def pal(text):\n",
    "    return text.lower() == text[::-1].lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def palr(text):\n",
    "    lowercase = text.lower()\n",
    "    if len(lowercase) <= 1:\n",
    "        return True\n",
    "    else:\n",
    "        if lowercase[0] == lowercase[-1]:\n",
    "            return palr(lowercase[1:-1])\n",
    "        else:\n",
    "            return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "﻿The Project Gutenberg EBook of Pride and Prejudice, by Jane Austen\r\n",
      "\r\n",
      "This eBook is for the use of anyone anywhere at no cost and with\r\n",
      "almost no restrictions whatsoever.  You may copy it, give it away or\r\n",
      "re-use it under the terms of the Project Gutenberg License included\r\n",
      "with this eBook or online at www.gutenberg.org\r\n",
      "\r\n",
      "\r\n",
      "Title: Pride and Prejudice\r\n",
      "\r\n",
      "Author: Jane Austen\r\n",
      "\r\n",
      "Posting Date: August 26, 2008 [EBook #1342]\r\n",
      "Release Date: June, 1998\r\n",
      "Last Updated: October 17, 2016\r\n",
      "\r\n",
      "Language: English\r\n",
      "\r\n",
      "Character set encoding: UTF-8\r\n",
      "\r\n",
      "*** START OF THIS PROJECT GUTENBERG EBOOK PRIDE AND PREJUDICE ***\r\n",
      "\r\n",
      "\r\n",
      "\r\n",
      "\r\n",
      "Produced by Anonymous Volunteers\r\n",
      "\r\n",
      "\r\n",
      "\r\n",
      "\r\n",
      "\r\n",
      "PRIDE AND PREJUDICE\r\n",
      "\r\n",
      "By Jane Austen\r\n",
      "\r\n",
      "\r\n",
      "\r\n",
      "Chapter 1\r\n",
      "\r\n",
      "\r\n",
      "It is a truth universally acknowledged, that a single man in possession\r\n",
      "of a good fortune, must be in want of a wife.\r\n",
      "\r\n",
      "However little known the feelings or views of such a man may be on his\r\n",
      "first entering a neighbourhood, this truth is so well fixed in the minds\r\n",
      "of the surr\n"
     ]
    }
   ],
   "source": [
    "source = open('1342-0.txt')\n",
    "pride = source.read()\n",
    "print pride[:1000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "result = re.findall('[aieou]', pride)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "205351"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "result = re.findall('[AEIOUaeiou]', pride)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "209731"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
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      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['e',\n",
       " 'o',\n",
       " 'e',\n",
       " 'u',\n",
       " 'e',\n",
       " 'e',\n",
       " 'E',\n",
       " 'o',\n",
       " 'o',\n",
       " 'o',\n",
       " 'i',\n",
       " 'e',\n",
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       " 'e',\n",
       " 'u',\n",
       " 'i',\n",
       " 'e',\n",
       " 'a',\n",
       " 'e',\n",
       " 'A']"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "quotes = re.findall('\"[^\"]*\\r\\n\\r\\n|\"[^\"]*\"', pride)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(quotes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "quotes[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pride_words = pride.split()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "124592"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pride_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "125901"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pride_words_2 = re.findall('[A-Za-z]+', pride)\n",
    "len(pride_words_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['circumstance',\n",
       " 'more',\n",
       " 'deeply',\n",
       " 'impressed',\n",
       " 'on',\n",
       " 'their',\n",
       " 'memories',\n",
       " 'than',\n",
       " 'that',\n",
       " 'their',\n",
       " 'brother',\n",
       " 's',\n",
       " 'fortune',\n",
       " 'and',\n",
       " 'their',\n",
       " 'own',\n",
       " 'had',\n",
       " 'been',\n",
       " 'acquired',\n",
       " 'by',\n",
       " 'trade',\n",
       " 'Mr',\n",
       " 'Bingley',\n",
       " 'inherited',\n",
       " 'property',\n",
       " 'to',\n",
       " 'the',\n",
       " 'amount',\n",
       " 'of',\n",
       " 'nearly',\n",
       " 'a',\n",
       " 'hundred',\n",
       " 'thousand',\n",
       " 'pounds',\n",
       " 'from',\n",
       " 'his',\n",
       " 'father',\n",
       " 'who',\n",
       " 'had',\n",
       " 'intended',\n",
       " 'to',\n",
       " 'purchase',\n",
       " 'an',\n",
       " 'estate',\n",
       " 'but',\n",
       " 'did',\n",
       " 'not',\n",
       " 'live',\n",
       " 'to',\n",
       " 'do']"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pride_words_2[4000:4050]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'HereisanicestringLalala'"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test = 'Here is a nice string. La la la.'\n",
    "re.sub('\\W', '', test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def prep(text):\n",
    "    return re.sub('\\W', '', text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "palindrome = 'Star comedy by Democrats'\n",
    "pal(prep(palindrome))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "otherwise = \"This is almost a palindrome ... er, actually it's not.\"\n",
    "pal(prep(otherwise))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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