Python 序列化Json、Pickle

#!/usr/bin/env python

# -*- coding:utf-8 -*-

# author: Changhua Gong

'''

Json僅支持簡單的數據類型，不支持複雜類型的序列化，如函數

'''

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)  # 與上句徹底等價

# 反序列化

with open("test.txt", "r") as f:

    # print(json.loads(f.read()))

    print(json.load(f)) # 與上句徹底等價

    

    

#!/usr/bin/env python

# -*- coding:utf-8 -*-

# author: Changhua Gong

'''

Pickle可序列化python中全部的數據類型，僅在Python中

例如pickle可序列化函數

'''

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:  # 以二進制寫入

    # f.write(pickle.dumps(info))

    pickle.dump(info,f)  # 與上句徹底等價

#!/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: # 以二進制讀取

    rs = pickle.load(f)

    print(rs)

    rs["func"]("daidai")  # 實際上這裏有func對應函數對應便可（僅需保證函數名一致便可），甚至可修改調用方式和函數體