python核心模块之pickle和cPickle

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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()

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)

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