This article mainly introduces examples of reading and writing files and storage in PythonProgramming, including examples of using cPickle storage to store objects. Friends in need can refer to the following
1. Writing and reading files
#!/usr/bin/python # -*- coding: utf-8 -*- # Filename: using_file.py # 文件是创建和读取 s = '''''我们都是木头人, 不许说话不许动!''' # 创建一个文件,并且写入字符 f = file('test_file.txt', 'w') f.write(s) f.close() # 读取文件,逐行打印 f = file('test_file.txt') while True: line = f.readline() # 如果line长度为0,说明文件已经读完了 if len(line) == 0: break # 默认的换行符也读出来了,所以用逗号取代print函数的换行符 print line, f.close()
Execution results:
我们都是木头人, 不许说话不许动!
2. Memory writing and reading
#!/usr/bin/python # -*- coding: utf-8 -*- # Filename using_pickle.py # 使用存储器 #加载存储器模块,as后面是别名 #import pickle as p #书上说cPickle比pickle快很多 import cPickle as p listpickle = [1, 2, 2, 3] picklefile = 'picklefile.data' f = file(picklefile, 'w') # 写如数据 p.dump(listpickle, f) f.close() del listpickle f = file(picklefile) # 读取数据 storedlist = p.load(f) print storedlist f.close()
Execution results:
[1, 2, 2, 3]
Let’s look at an example of using cPickle storage to store objects
#!/usr/bin/python #Filename:pickling.py import cPickle as p shoplistfile = 'shoplist.data' shoplist = ['apple', 'mango', 'carrot'] f = file(shoplistfile, 'w') p.dump(shoplist, f) f.close() del shoplist f = file(shoplistfile) storedlist = p.load(f) print storedlist
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