本文实例讲述了Python3处理文件中每个词的方法。分享给大家供大家参考。具体实现方法如下:
''''' Created on Dec 21, 2012 处理文件中的每个词 @author: liury_lab ''' import codecs the_file = codecs.open('d:/text.txt', 'rU', 'UTF-8') for line in the_file: for word in line.split(): print(word, end = "|") the_file.close() # 若词的定义有变,可使用正则表达式 # 如词被定义为数字字母,连字符或单引号构成的序列 import re the_file = codecs.open('d:/text.txt', 'rU', 'UTF-8') print() print('************************************************************************') re_word = re.compile('[\w\'-]+') for line in the_file: for word in re_word.finditer(line): print(word.group(0), end = "|") the_file.close() # 封装成迭代器 def words_of_file(file_path, line_to_words = str.split): the_file = codecs.open('d:/text.txt', 'rU', 'UTF-8') for line in the_file: for word in line_to_words(line): yield word the_file.close() print() print('************************************************************************') for word in words_of_file('d:/text.txt'): print(word, end = '|') def words_by_re(file_path, repattern = '[\w\'-]+'): the_file = codecs.open('d:/text.txt', 'rU', 'UTF-8') re_word = re.compile('[\w\'-]+') def line_to_words(line): for mo in re_word.finditer(line): yield mo.group(0) # 原书为return,发现结果不对,改为yield return words_of_file(file_path, line_to_words) print() print('************************************************************************') for word in words_by_re('d:/text.txt'): print(word, end = '|')
希望本文所述对大家的Python程序设计有所帮助。

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i


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