pickle文件序列化

时间：2007-10-24 来源：jcodeer

1.使用pickle将list序列化

# -*- coding: cp936 -*-
'''
pickle一个list,将数据写入文件
'''
import pickle
d = range(0,200,5)
f = file("c:\\pickleList.dat","w")
p = pickle.dump(d,f)
f.close()

2.将序列化的数据读入

# -*- coding: cp936 -*-
'''
pickle一个list,将数据从文件中读取出来
'''
import pickle
f = file("c:\\pickleList.dat","r")
p = pickle.load(f)
f.close()
print p

与list相同的还有：

None, True, and False

integers, long integers, floating point numbers, complex numbers
normal and Unicode strings
tuples, lists, sets, and dictionaries containing only picklable objects

3.将函数序列化

# -*- coding: cp936 -*-
'''使用pickle序列化对象
1.将pickleTest写入文件
2.函数、类pickle的是refence不是value
'''
import pickle

def pickleTest(val = None):
print val

l = [pickleTest,pickleTest]
f = file("c:\\pickleTest.dat","wb")
p = pickle.dump(pickleTest,f)
f.close()

4.将函数从文件中读取出来

# -*- coding: cp936 -*-
'''使用pickle序列化对象
1.使用load从文件中载入对象，并执行代码
2.必须使用import，pickle不会对函数的代码进行处理
'''
import pickle
import test
f = file("c:\\pickleTest.dat","rb")
p = pickle.load(f)
f.close()
p("jcodeer")

与函数相同的还有如下：

functions defined at the top level of a module
built-in functions defined at the top level of a module
classes that are defined at the top level of a module
instances of such classes whose __dict__ or __setstate__() is picklable