


Detailed explanation of the difference and usage analysis between str and Unicode in Python encoding processing
Use python to process Chinese, When reading files or messages, if garbled characters are found (String processing, read and write files, print), what most people do is to call encode/decode for debugging without thinking clearly about why garbled characters appear. Today we will discuss how to deal with encoding problems.
Note: The following discussion is for the Python2.x version and has not been tested under Py3k
The most common errors during debugging
Error 1
Traceback (most recent call last): File "<stdin>", line 1, in <module> UnicodeDecodeError: ‘ascii‘ codec can‘t decode byte 0xe6 in position 0: ordinal not in range(128)
Error 2
Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/encodings/utf_8.py", line 16, in decode return codecs.utf_8_decode(input, errors, True) UnicodeEncodeError: ‘ascii‘ codec can‘t encode characters in position 0-1: ordinal not in range(128)
First of all
We must have a general concept, understandCharacter set, character encoding
ASCII | Unicode | UTF-8 | etc.
Character encoding notes: ASCII, Unicode and UTF-8
str and unicode
str and unicode are both subclasses of basestring
So there is a way to determine whether it is a string
def is_str(s): return isinstance(s, basestring)
Str and unicode conversion
str -> decode('the_coding_of_str') -> unicode unicode -> encode('the_coding_you_want') -> str
Difference
str is a byte string, encoded by unicode
Declaration method composed of the following bytes
>>> s = ‘中文‘ s = u‘中文‘.encode(‘utf-8‘) >>> type(‘中文‘) <type ‘str‘>
Find the length (return the number of bytes)
>>> u‘中文‘.encode(‘utf-8‘) ‘\xe4\xb8\xad\xe6\x96\x87‘ >>> len(u‘中文‘.encode(‘utf-8‘)) 6
Unicode is the real string, composed of characters
Declaration method
>>> s = u‘中文‘ >>> s = ‘中文‘.decode(‘utf-8‘) >>> s = unicode(‘中文‘, ‘utf-8‘) >>> type(u‘中文‘) <type ‘unicode‘>
Find the length (return the number of characters), what you really want to use in the logic
>>> u‘中文‘ u‘\u4e2d\u6587‘ >>> len(u‘中文‘) 2
Conclusion
Understand what you need to deal with str is still unicode, use the right processing method (str.decode/unicode.encode)
The following is the method to determine whether it is unicode/str
>>> isinstance(u‘中文‘, unicode) True >>> isinstance(‘中文‘, unicode) False >>> isinstance(‘中文‘, str) True >>> isinstance(u‘中文‘, str) False
Simple principle: do not use encode for str. Do not use decode for unicode (in fact, you can encode str. See the end for details. To ensure simplicity, it is not recommended)
>>> ‘中文‘.encode(‘utf-8‘) Traceback (most recent call last): File "", line 1, in UnicodeDecodeError: ‘ascii‘ codec can‘t decode byte 0xe4 in position 0: ordinal not in range(128) >>> u‘中文‘.decode(‘utf-8‘) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/encodings/utf_8.py", line 16, in decode return codecs.utf_8_decode(input, errors, True) UnicodeEncodeError: ‘ascii‘ codec can‘t encode characters in position 0-1: ordinal not in range(128)
For different encoding conversions, use unicode as the intermediate encoding
#s是code_A的str s.decode(‘code_A‘).encode(‘code_B‘)
File processing, IDE and console
Processing process, you can use it like this, think of python as a pool, an entrance, and an exit
At the entrance, all are converted to unicode , all in the pool are processed with unicode, and then converted to the target encoding at the exit (of course, there are exceptions, and specific encodings are used in the processing logic)
Read the file, external input encoding, decode into unicode for processing (Internal encoding, unified unicode) Encode is converted into the required target encoding and written to the target output (file or console)
The IDE and console report errors because the encoding is inconsistent with the IDE's own encoding when printing
When outputting, convert the encoding to a consistent one and you can output normally
>>> print u‘中文‘.encode(‘gbk‘) ???? >>> print u‘中文‘.encode(‘utf-8‘) 中文
Recommendations
Standardize the encoding
Uniform encoding to prevent garbled codes caused by a certain link
Environment coding, IDE/textEditor, file coding, database data table coding
Ensure code source file coding
This is very important
The default encoding of py files is ASCII. In the source code file, if non-ASCII characters are used, the encoding declaration needs to be made in the header of the file.
If not declared, errors will be encountered when inputting non-ASCII characters. , must be placed on the first or second line of the file
File "XXX.py", line 3 SyntaxError: Non-ASCII character ‘\xd6‘ in file c.py on line 3, but no encoding declared; see http://www.python.org/peps/pep-0263.html for details
Declaration method
# -*- coding: utf-8 -*- 或者 #coding=utf-8
If the header declares coding=utf-8, a = 'Chinese', its encoding is utf-8
If the header declares coding=gb2312, a = 'Chinese', its encoding is gbk
so, all source file headers in the same project have the same encoding, and the declared encoding must be the same as the source file The saved encoding is consistent (editor related)
is used as a hard-coded string for processing in the source code, and uniformly uses unicode
将其类型和源文件本身的编码隔离开, 独立无依赖方便流程中各个位置处理
if s == u‘中文‘: #而不是 s == ‘中文‘ pass #注意这里 s到这里时,确保转为unicode
以上几步搞定后,你只需要关注两个 unicode和 你设定的编码(一般使用utf-8)
处理顺序
1. Decode early 2. Unicode everywhere 3. Encode later
相关模块及一些方法
获得和设置系统默认编码
>>> import sys >>> sys.getdefaultencoding() ‘ascii‘ >>> reload(sys) <module ‘sys‘ (built-in)> >>> sys.setdefaultencoding(‘utf-8‘) >>> sys.getdefaultencoding() ‘utf-8‘ >>> str.encode(‘other_coding‘)
在python中,直接将某种编码的str进行encode成另一种编码str
#str_A为utf-8 str_A.encode(‘gbk‘) 执行的操作是 str_A.decode(‘sys_codec‘).encode(‘gbk‘) 这里sys_codec即为上一步 sys.getdefaultencoding() 的编码
‘获得和设置系统默认编码‘和这里的str.encode是相关的,但我一般很少这么用,主要是觉得复杂不可控,还是输入明确decode,输出明确encode来得简单些
chardet
文件编码检测,下载
>>> import chardet >>> f = open(‘test.txt‘,‘r‘) >>> result = chardet.detect(f.read()) >>> result {‘confidence‘: 0.99, ‘encoding‘: ‘utf-8‘}
\u字符串转对应unicode字符串
>>> u‘中‘ u‘\u4e2d‘ >>> s = ‘\u4e2d‘ >>> print s.decode(‘unicode_escape‘) 中 >>> a = ‘\\u4fee\\u6539\\u8282\\u70b9\\u72b6\\u6001\\u6210\\u529f‘ >>> a.decode(‘unicode_escape‘) u‘\u4fee\u6539\u8282\u70b9\u72b6\u6001\u6210\u529f‘
The above is the detailed content of Detailed explanation of the difference and usage analysis between str and Unicode in Python encoding processing. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Pythonlistsarepartofthestandardlibrary,whilearraysarenot.Listsarebuilt-in,versatile,andusedforstoringcollections,whereasarraysareprovidedbythearraymoduleandlesscommonlyusedduetolimitedfunctionality.

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.
