Python——在Unicode和普通字符串之间转换

1.1. 问题 Problem

You need to deal with data that doesn‘t fit in the ASCII character set.

你需要处理不适合用ASCII字符集表示的数据.

1.2. 解决 Solution

Unicode strings can be encoded in plain strings in a variety of ways, according to whichever encoding you choose:

Unicode字符串可以用多种方式编码为普通字符串, 依照你所选择的编码(encoding):

<!-- Inject Script Filtered --> Toggle line numbers

   1 #将Unicode转换成普通的Python字符串:"编码(encode)"
   2 unicodestring = u"Hello world"
   3 utf8string = unicodestring.encode("utf-8")
   4 asciistring = unicodestring.encode("ascii")
   5 isostring = unicodestring.encode("ISO-8859-1")
   6 utf16string = unicodestring.encode("utf-16")
   7
   8
   9 #将普通的Python字符串转换成Unicode: "解码(decode)"
  10 plainstring1 = unicode(utf8string, "utf-8")
  11 plainstring2 = unicode(asciistring, "ascii")
  12 plainstring3 = unicode(isostring, "ISO-8859-1")
  13 plainstring4 = unicode(utf16string, "utf-16")
  14
  15 assert plainstring1==plainstring2==plainstring3==plainstring4

1.3. 讨论 Discussion

If you find yourself dealing with text that contains non-ASCII characters, you have to learn about Unicode梬hat it is, how it works, and how Python uses it.

如果你发现自己正在处理包含非ASCII码字符的文本, 你必须学习Unicode,关于它是什么,如何工作,而且Python如何使用它。

Unicode is a big topic.Luckily, you don‘t need
to know everything about Unicode to be able to solve real-world
problems with it: a few basic bits of knowledge are enough.First,
you must understand the difference between bytes and characters.In
older, ASCII-centric languages and environments, bytes and
characters are treated as the same thing.Since a byte can hold up
to 256 values, these environments are limited to 256
characters.Unicode, on the other hand, has tens of thousands of
characters.That means that each Unicode character takes more than
one byte, so you need to make the distinction between characters
and bytes.

Unicode是一个大的主题。幸运地,你并不需要知道关于Unicode码的每件事,就能够用它解决真
实世界的问题:
一些基本知识就够了。首先,你得了解在字节和字符之间的不同。原先,在以ASCII码为中心的语言和环境中,字节和字符被当做相同的事物。由于一个字节只
能有256个值,这些环境就受限为只支持
256个字符。Unicode码,另一方面,有数万个字符,那意谓着每个Unicode字符占用多个字节,因此,你需要在字符和字节之间作出区别。

Standard Python strings are really byte strings,
and a Python character is really a byte.Other terms for the
standard Python type are "8-bit string" and "plain string.",In this
recipe we will call them byte strings, to remind you of their
byte-orientedness.

标准的Python字符串确实是字节字符串,而且一个Python字符真的是一个字节。换个术语,标准的
Python字符串类型的是 "8位字符串(8-bit string)"和"普通字符串(plain
string)". 在这一份配方中我们把它们称作是字节串(byte strings),
并记住它们是基于字节的。

Conversely, a Python Unicode character is an
abstract object big enough to hold the character, analogous to
Python‘s long integers.You don‘t have to worry about the internal
representation;the representation of Unicode characters becomes an
issue only when you are trying to send them to some byte-oriented
function, such as the write method for files or the send method for
network sockets.At that point, you must choose how to represent the
characters as bytes.Converting from Unicode to a byte string is
called encoding the string.Similarly, when you load Unicode strings
from a file, socket, or other byte-oriented object, you need to
decode the strings from bytes to characters.

相反地,一个Python
Unicode码字符是一个大到足够支持(Unicode)字符的一个抽象对象,
类似于Python中的长整数。 你不必要为内在的表示担忧;
只有当你正在尝试把它们传递给给一些基于字节的函数的时候,Unicode字符的表示变成一个议题,
比如文件的write方法或网络套接字的send
方法。那时,你必须要选择该如何表示这些(Unicode)字符为字节。从Unicode码到字节串的转换被叫做编码。同样地,当你从文件,套接字或其他
的基于字节的对象中装入一个Unicode字符串的时候,你需要把字节串解码为(Unicode)字符。

There are many ways of converting Unicode
objects to byte strings, each of which is called an encoding.For a
variety of historical, political, and technical reasons, there is
no one "right" encoding.Every encoding has a case-insensitive name,
and that name is passed to the decode method as a parameter. Here
are a few you should know about:

将Unicode码对象转换成字节串有许多方法,
每个被称为一个编码(encoding)。由于多种历史的,政治上的,和技术上的原因,没有一个
"正确的"编码。每个编码有一个大小写无关的名字,而且那一个名字被作为一个叁数传给解码方法。这里是一些你应该知道的:

  • The UTF-8 encoding can handle any Unicode character.It is also
    backward compatible with ASCII, so a pure ASCII file can also be
    considered a UTF-8 file, and a UTF-8 file that happens to use only
    ASCII characters is identical to an ASCII file with the same
    characters.This property makes UTF-8 very backward-compatible,
    especially with older Unix tools.UTF-8 is far and away the dominant
    encoding on Unix.It‘s primary weakness is that it is fairly
    inefficient for Eastern texts.
  • UTF-8
    编码能处理任何的Unicode字符。它也是与ASCII码向后兼容的,因此一个纯粹的ASCII码文件也能被考虑为一个UTF-8
    文件,而且一个碰巧只使用ASCII码字符的 UTF-8
    文件和拥有同样字符的ASCII码文件是相同的。
    这个特性使得UTF-8的向后兼容性非常好,尤其使用较旧的
    Unix工具时。UTF-8 无疑地是在 Unix
    上的占优势的编码。它主要的弱点是对东方文字是非常低效的。
  • The UTF-16 encoding is favored by Microsoft
    operating systems and the Java environment.It is less efficient for
    Western languages but more efficient for Eastern ones.A variant of
    UTF-16 is sometimes known as UCS-2.
  • UTF-16
    编码在微软的操作系统和Java环境下受到偏爱。它对西方语言是比较低效,但对于东方语言是更有效率的。一个
    UTF-16 的变体有时叫作UCS-2 。
  • The ISO-8859 series of encodings are 256-character
    ASCII supersets.They cannot support all of the Unicode
    characters;they can support only some particular language or family
    of languages.ISO-8859-1, also known as Latin-1, covers most Western
    European and African languages, but not Arabic.ISO-8859-2, also
    known as Latin-2,covers many Eastern European languages such as
    Hungarian and Polish.
  • ISO-8859编码系列是256个字符的ASCII码的超集。他们不能够支援所有的Unicode码字符;
    他们只能支援一些特别的语言或语言家族。ISO-8859-1,
    也既Latin-1,包括大多数的西欧和非洲语言,
    但是不含阿拉伯语。ISO-8859-2,也既Latin-2,包括许多东欧的语言,像是匈牙利语和波兰语。

If you want to be able to encode all Unicode
characters, you probably want to use UTF-8.You will probably need
to deal with the other encodings only when you are handed data in
those encodings created by some other application.

如果你想要能够编码所有的Unicode码字符,你或许想要使用UTF-8。只有当你需要处理那些由其他应用产生的其它编码的数据时,你或许才需要处理其他编码。

时间: 2024-08-17 23:36:00

Python——在Unicode和普通字符串之间转换的相关文章

Python: 在Unicode和普通字符串之间转换

Unicode字符串可以用多种方式编码为普通字符串, 依照你所选择的编码(encoding): <!-- Inject Script Filtered --> Toggle line numbers 1 #将Unicode转换成普通的Python字符串:"编码(encode)" 2 unicodestring = u"Hello world" 3 utf8string = unicodestring.encode("utf-8") 4

php实现兼容Unicode文字的字符串大小写转换strtolower()和strtoupper()

前言 网上流传着这么一个腾讯笔试题: PHP的strtolower()和strtoupper()函数在安装非中文系统的服务器下可能会导致将汉字转换为乱码,请写两个替代的函数实现兼容Unicode文字的字符串大小写转换. 举个例子,我们直接对中英文混排的字符串处理是会出乱码的,如: php > $a = 'abc中华ABC'; php > var_dump(strtoupper($a)); string(12) "ABC??ō?ABC" php > 我们知道中文在 UT

Python 16进制与字符串的转换

电脑上装了Python2.7和3.3两个版本,平时运行程序包括在Eclipse里面调试都会使用2.7,但是由于某些原因在cmd命令行中输入python得到的解释器则是3.3, 一直没对此做处理,因为这样可以对两个版本的差异有一个测试,而且虚拟机里面是2.7以下的版本. 今天想到需要几个脚本做常用的编码转换,这样在没有其他工具的情况下也可以进行转换,不多说上正文: 首先是2.7版本下: 2.7版本下进行转换还是很方便的,hex2char:output = 'data'.decode('hex')

python 字典、列表、字符串 之间的转换

1.列表与字符串转换 列表转字符串: 将列表中的内容拼接成一个字符串 将列表中的值转成字符串 字符串转列表: 将字符串每个字符转成列表中的值 将字符串按分割成列表 2.列表与字典转换 列表转字典: 将两个列表转成字典 将嵌套列表转为字典 字典转列表: 字典中键.值转为列表 原文地址:https://www.cnblogs.com/who-care/p/9306800.html

char*、string、CString各种字符串之间转换

参考博客: http://blog.csdn.net/luoweifu/article/details/20242307 http://blog.csdn.net/luoweifu/article/details/20232379 <string> 与<string.h>.<cstring>的区别 <string.h> <string.h>是C版本的头文件,包含比如strcpy.strcat之类的字符串处理函数. <cstring>

python datetime unix时间戳以及字符串时间戳转换

将python的datetime转换为unix时间戳 import time import datetime dtime = datetime.datetime.now() ans_time = time.mktime(dtime.timetuple()) 将unix时间戳转换为python的datetime import datetime unix_ts = 1439111214.0 time = datetime.datetime.fromtimestamp(unix_ts) #!/usr/

二进制数据和字符串之间转换

1.把二进制数据编码为base64格式 你有一个byte[]用于表示一些二进制信息,比如图像,你需要把这些数据编码为一个字符串,以便可以通过不适合二进制的方式(比如电子邮件)发送它. 可以使用Convert类的静态方法Convert.ToBase64String,把byte[]编码为string public static string Base64EncodeBytes(this byte[] inputBytes) { return Convert.ToBase64String(inputB

Python时间,日期,时间戳之间转换

#1.将字符串的时间转换为时间戳方法: a = "2013-10-10 23:40:00" #将其转换为时间数组 import time timeArray = time.strptime(a, "%Y-%m-%d %H:%M:%S") # 转换为时间戳: timeStamp = int(time.mktime(timeArray)) timeStamp == 1381419600 # 字符串格式更改如a = "2013-10-10 23:40:00&qu

C# 字节数组和十六进制字符串之间转换的另类写法

今天从http://www.cnblogs.com/NanaLich/archive/2012/05/24/2516860.html看到的,记录下来 主要是XmlSerializationReader和XmlSerializationWriter两个抽象类中包含了很多受保护的方法,其中比较有用的就是byte[]和hexString的转换,分析源码发现是由两个内部类来实现的:BinHexEncoder和BinHexDecoder,看名字就非常清楚了,专门用来处理byte[]和hex的转换的,至于为