序列化json

#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author:woshinidaye
#正常读取文件的时候，文档使用字符串的形式写进去的。
# a = {'name':'woshinidaye','age':22}
# with open('test','w+',encoding='utf-8') as f :            #序列化
#     # f.write(a) #直接写入会报错，因为a是字典，
#     f.write(str(a))
#
# with open('test','r+',encoding='utf-8' ) as f :           #反序列化
#     # c= f.read()     #直接这样执行会报错，TypeError: string indices must be integers
#      d = eval(f.read())        # The source may be a string representing a Python expression
#     #or a code object as returned by compile().
# # print(c['age'])
# print(d['age'])         #这样就行，不过eval不是最推荐的办法，推荐使用json

'''
import json
a = {'name':'woshinidaye','age':22}
with open('test','w+',encoding='utf-8')  as f :
    f.write(json.dumps(a))                              #序列化

with open('test','r+',encoding='utf-8')  as f :         #反序列化
    test = json.loads(f.read())
    print(test)
'''
#json只能用于简单的字体序列化，因为json会用到各种语言中，json此时作为序列化的中间商

'''
import pickle           #可以对函数序列化，只能在python里面用，其他语言无法识别。
def b():
    print('b')
a = {'name':'woshinidaye','age':22,'func':b}
with open('test','wb')  as f :
    f.write(pickle.dumps(a))                              #序列化
    #f.write(pickle.dumps(a)) = pickle.dump(a,f)
with open('test','rb')  as f :         #反序列化
    test = pickle.loads(f.read())
    #test = pickle.load(f)
    print(test)             #{'name': 'woshinidaye', 'age': 22, 'func': <function b at 0x00000219CFB4AC10>}
    print('====>',test['func']())
    test['func']()
'''