第七章  1、2、3  文本处理：字符串.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 7.1 字符串编码格式简介"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 字符串类型及操作\n",
    "- 字符串是用双引号\"\"或者单引号''括起来的一个或多个字符。\n",
    "- 字符串可以保存在变量中，也可以单独存在。\n",
    "- 可以用type()函数或isinstance()测试一个字符串的类型。\n",
    "- 除了支持序列通用方法（包括双向索引、比较大小、计算长度、元素访问、切片、成员测试等操作）以外，字符串类型还支持一些特有的操作方法，例如字符串格式化、查找、替换、排版等等。\n",
    "- 字符串是不可变序列字符串属于不可变序列，不能直接对字符串对象进行元素增加、修改与删除等操作，切片操作也只能访问其中的元素而无法使用切片来修改字符串中的字符,替换等操作不是原地操作，而是返回一个新字符串作为结果。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 字符串编码\n",
    "- 最早的字符串编码是美国标准信息交换码ASCII，仅对10个数字、26个大写英文字母、26个小写英文字母及一些其他符号进行了编码。ASCII码采用1个字节来对字符进行编码，最多只能表示256个符号。\n",
    "- GB2312是我国制定的中文编码，使用1个字节表示英语，2个字节表示中文；GBK是GB2312的扩充，而CP936是微软在GBK基础上开发的编码方式。GB2312、GBK和CP936都是使用2个字节表示中文。\n",
    "- UTF-8对全世界所有国家需要用到的字符进行了编码，以1个字节表示英语字符(兼容ASCII)，以3个字节表示中文，还有些语言的符号使用2个字节（例如俄语和希腊语符号）或4个字节。\n",
    "- 不同编码格式之间相差很大，采用不同的编码格式意味着不同的表示和存储形式，把同一字符存入文件时，写入的内容可能会不同，在试图理解其内容时必须了解编码规则并进行正确的解码。如果解码方法不正确就无法还原信息。\n",
    "- Python 3.x完全支持中文字符，默认使用UTF-8编码格式，无论是一个数字、英文字母，还是一个汉字，在统计字符串长度时都按一个字符对待和处理。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "utf-8\n",
      "b'\\xe5\\x93\\x88\\xe5\\x93\\x88' b'\\xb9\\xfe\\xb9\\xfe'\n",
      "哈哈 鍝堝搱\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "print(sys.getdefaultencoding())\n",
    "x='哈哈'.encode('utf-8')\n",
    "y='哈哈'.encode('gbk')\n",
    "print(x,y)\n",
    "c1=x.decode('utf-8')\n",
    "c2=y.decode('gbk')\n",
    "c2=x.decode('gbk')#必须使用同样的或者兼容的编码格式进行解码才能还原本来的信息。\n",
    "print(c1,c2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- ASCII:\n",
    "        A-Z : 65-90\n",
    "        a-z : 97-122\n",
    "        0-9 : 48-57"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b'a' <class 'bytes'> a\n",
      "97\n",
      "<class 'int'>\n",
      "a b\n"
     ]
    }
   ],
   "source": [
    "x = 'a'.encode('utf-8')\n",
    "print(x,type(x),x.decode())\n",
    "y = ord('a')  #ord()返回单个字符的unicode码(ASCII)\n",
    "print(y)\n",
    "print(type(y))\n",
    "print(chr(y),chr(y+1)) #chr（）返回unicode编码对应的字符"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9\n",
      "97\n"
     ]
    }
   ],
   "source": [
    "print(chr(ord(\"5\")+4))\n",
    "print(ord(chr(97)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 微实例:将小写字母转化为大写字母,其余字符不变"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plaincode = input('请输入明文:')\n",
    "for i in plaincode:\n",
    "    if i.islower() == True:\n",
    "        print(chr(ord(i)-32),end = ' ')\n",
    "    else:\n",
    "        print(i,end = ' ')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 7.2 转义字符与原始字符串"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 常用转义字符\n",
    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)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A\n",
      "x41\n"
     ]
    }
   ],
   "source": [
    "print('\\101')  #3位八进制数对应的字符（转为十进制后参照ASCII）\n",
    "print('x41')  #2位十六进制数对应的字符"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Windows\n",
      "otepad.exe\n",
      "C:\\Windows\\notepad.exe\n"
     ]
    }
   ],
   "source": [
    "path = 'C:\\Windows\\notepad.exe'\n",
    "print(path)                       #字符\\n被转义为换行符\n",
    "\n",
    "path = r'C:\\Windows\\notepad.exe'  #原始字符串，任何字符都不转义\n",
    "print(path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 7.3 字符串格式化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7.3.2 format()方法进行字符串格式化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 主要格式：\n",
    "- b（二进制格式）\n",
    "- c（把整数转换成Unicode字符）\n",
    "- d（十进制格式）\n",
    "- o（八进制格式）\n",
    "- x（小写十六进制格式）\n",
    "- X（大写十六进制格式）\n",
    "- e/E（科学记数法格式）\n",
    "- f/F（固定长度的浮点数格式）\n",
    "- %（使用固定长度浮点数显示百分数）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.333\n",
      "350.000000%\n",
      "The number 55 in hex is: 0x37, in oct is 67\n"
     ]
    }
   ],
   "source": [
    "print('{0:.3f}'.format(1/3))  #没有小数点则保留6位\n",
    "print('{0:%}'.format(3.5))  #格式化为百分数\n",
    "print(\"The number {0:,} in hex is: {0:#x}, in oct is {0:o}\".format(55))  #‘#’的作用为添加进制前缀"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "My name is XZP, my gender is male, my age is 18.\n"
     ]
    }
   ],
   "source": [
    "print('My name is {name}, my gender is {gender}, my age is {age}.'.format(age = 18, name = 'XZP', gender = 'male'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X:5;Y:8;Z:13\n"
     ]
    }
   ],
   "source": [
    "position = (5, 8, 13)\n",
    "print(\"X:{0[0]};Y:{0[1]};Z:{0[2]}\".format(position))  #使用元组的同时格式化多个值"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 示例"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 显示一个数n的二进制，八进制，十进制，十六进制"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a number:16\n",
      "二进制：10000, 八进制：20, 十进制：16, 十六进制：10\n"
     ]
    }
   ],
   "source": [
    "n = int(input('a number:'))\n",
    "print('二进制：{0:b}, 八进制：{0:o}, 十进制：{0:d}, 十六进制：{0:x}'.format(n))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 从键盘输入一个正整数n，然后输入n个数字，对这n个数字求和并显示结果。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "输入一个正整数：2\n",
      "请输入第1个数：3\n",
      "请输入第2个数：4\n",
      "数字的总和是：7\n"
     ]
    }
   ],
   "source": [
    "n = int(input(\"输入一个正整数：\"))\n",
    "t = 0\n",
    "for i in range(1,n+1):\n",
    "    x = int(input(\"请输入第{}个数：\".format(i)))\n",
    "    t = t + x\n",
    "print(\"数字的总和是：{}\".format(t))"
   ]
  }
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