Python语法之序列化思维导图

Python3 序列化功能代码:

import io 
import sys 
import json # json 
import pickle # pickle 
sys.stdout = io.TextIOWrapper(sys.stdout.detach(),encoding='utf-8') 
 
# Python3 序列化之JSON 
# Python对象编码成 json 字符串 
d={'小明':{'sex':'男','addr':'上海','age':26},'小红':{ 'sex':'女','addr':'上海', 'age':24},} 
print(json.dumps(d,ensure_ascii=False,indent=4)) 
 
# Python对象编码成 json 字符串,并且写入指定文件中 
# d={'小明':{'sex':'男','addr':'上海','age':26},'小红':{ 'sex':'女','addr':'上海', 'age':24},} 
# #打开一个名字为‘users.json’的空文件 
# fw =open('users.json','w',encoding='utf-8') 
# json.dump(d,fw,ensure_ascii=False,indent=4) 
 
#将 json 字符串转换成 Python 的数据类型 
d='''{"sex":"男","addr":"上海","age":26}''' 
print(json.loads(d))    
 
#打开文件并且将 json 字符串转换成 Python 的数据类型 
f =open('users.json','r',encoding='utf-8')  
print(json.load(f)) 
 
# pickle之dumps()函数 
data = ['A', 'B', 'C','D']   
datastr = pickle.dumps(data) 
print(datastr) 
 
# pickle之dump()函数 
with open('test.txt', 'wb') as f: 
    pickle.dump(data, f) 
print('写入成功') 
 
# pickle之loads()函数 
msg = pickle.loads(datastr) 
print(msg) 
 
# pickle之loads()函数 
with open('test.txt', 'rb') as f: 
   data = pickle.load(f) 
print(data)