Python 序列化Json、Pickle

#!/usr/bin/env python
# -*- coding:utf-8 -*-
# author: Changhua Gong

'''
Json仅支持简单的数据类型，不支持复杂类型的序列化，如函数
'''

import json

info = {"name":"daidai", "salary":15000}
# 序列化
with open("test.txt", "w") as f:
# f.write(json.dumps(info))
json.dump(info,f) # 与上句完全等价
# 反序列化
with open("test.txt", "r") as f:
# print(json.loads(f.read()))
print(json.load(f)) # 与上句完全等价

#!/usr/bin/env python
# -*- coding:utf-8 -*-
# author: Changhua Gong
'''
Pickle可序列化python中所有的数据类型，仅在Python中
例如pickle可序列化函数
'''

import pickle
def fun_print():
print("1......")

info = {"name":"daidai", "salary":15000, "func":fun_print}
# 序列化
with open("test.txt", "wb") as f: # 以二进制写入
# f.write(pickle.dumps(info))
pickle.dump(info,f) # 与上句完全等价

#!/usr/bin/env python
# -*- coding:utf-8 -*-
# author: Changhua Gong
import pickle

def fun_print(s):
print("2......%s" % s)
# 反序列化
with open("test.txt", "rb") as f: # 以二进制读取
rs = pickle.load(f)
print(rs)
rs["func"]("daidai") # 实际上这里有func对应函数对应即可（仅需保证函数名一致即可），甚至可修改调用方式和函数体