python核心模块之pickle和cPickle python

pickle模块的功能就是执行序列化和反序列化，分别是通过dump()函数和load()函数完成的。 dump()函数接受一个文件句柄和一个数据对象作为参数，把数据对象以特定的格式保存到给定的文件中。当我们使用load()函数从文件中取出已保存的对象时，pickle知道如何恢复这些对象到它们本来的格式。 cPickle是pickle得一个更快得C语言编译版本。 [这里写链接内容](http://blog.csdn.net/yucan1001/article/details/8478755)

>>> a1 = 'apple' >>> b1 = {1: 'One', 2: 'Two', 3: 'Three'} >>> c1 = ['fee', 'fie', 'foe', 'fum'] >>> f1 = file('temp.pkl', 'wb') >>> pickle.dump(a1, f1, True) >>> pickle.dump(b1, f1, True) >>> pickle.dump(c1, f1, True) >>> f1.close() >>> f2 = file('temp.pkl', 'rb') >>> a2 = pickle.load(f2) >>> a2 'apple' >>> b2 = pickle.load(f2) >>> b2 {1: 'One', 2: 'Two', 3: 'Three'} >>> c2 = pickle.load(f2) >>> c2 ['fee', 'fie', 'foe', 'fum'] >>> f2.close()

【python核心模块之pickle和cPickle】pickle还有另一个函数对dumps()和loads()，dumps(object) 返回一个字符串，它包含一个 pickle 格式的对象； loads(string) 返回包含在 pickle 字符串中的对象

>>> import cPickle as pickle >>> t1 = ('this is a string', 42, [1, 2, 3], None) >>> t1 ('this is a string', 42, [1, 2, 3], None) >>> p1 = pickle.dumps(t1) >>> p1 "(S'this is a string'/nI42/n(lp1/nI1/naI2/naI3/naNtp2/n." >>> print p1 (S'this is a string' I42 (lp1 I1 aI2 aI3 aNtp2 . >>> t2 = pickle.loads(p1) >>> t2 ('this is a string', 42, [1, 2, 3], None) >>> p2 = pickle.dumps(t1, True) >>> p2 '(U/x10this is a stringK*]q/x01(K/x01K/x02K/x03eNtq/x02.' >>> t3 = pickle.loads(p2) >>> t3 ('this is a string', 42, [1, 2, 3], None)