json
在不同的编程语言之间传递对象
1 dic = {‘name‘: ‘alvin‘, ‘age‘: 23, ‘sex‘: ‘male‘} 2 print(type(dic)) ?# <class ‘dict‘> 3 ?4 j = json.dumps(dic) 5 print(type(j)) ?# <class ‘str‘> 6 ?7 f = open(‘序列化对象‘, ‘w‘) 8 f.write(j) ?# -------------------等价于json.dump(dic,f) 9 f.close()10 # -----------------------------反序列化<br>11 import json12 13 f = open(‘序列化对象‘)14 data = json.loads(f.read()) ?# 等价于data=json.load(f)15 16 import json17 #dct="{‘1‘:111}"#json 不认单引号18 #dct=str({"1":111})#报错,因为生成的数据还是单引号:{‘one‘: 1}19 20 dct=‘{"1":"111"}‘21 print(json.loads(dct))22 23 #conclusion:24 # ???????无论数据是怎样创建的，只要满足json格式，就可以json.loads出来,不一定非要dumps的数据才能loadspickle
pickle是python自己的序列化，想序列化什么就序列化什么，不像json有限制。
import pickledic = {‘name‘: ‘alvin‘, ‘age‘: 23, ‘sex‘: ‘male‘}print(type(dic)) ?# <class ‘dict‘>j = pickle.dumps(dic)print(type(j)) ?# <class ‘bytes‘>f = open(‘序列化对象_pickle‘, ‘wb‘) ?# 注意是w是写入str,wb是写入bytes,j是‘bytes‘f.write(j) ?# -------------------等价于pickle.dump(dic,f)f.close()# -------------------------反序列化import picklef = open(‘序列化对象_pickle‘, ‘rb‘)data = pickle.loads(f.read()) ?# 等价于data=pickle.load(f)print(data[‘age‘]) ??shelve模块
shelve模块比pickle模块简单，只有一个open函数，返回类似字典的对象，可读可写;key必须为字符串，而值可以是python所支持的数据类型
import shelvef=shelve.open(r‘sheve.txt‘)# f[‘stu1_info‘]={‘name‘:‘egon‘,‘age‘:18,‘hobby‘:[‘piao‘,‘smoking‘,‘drinking‘]}# f[‘stu2_info‘]={‘name‘:‘gangdan‘,‘age‘:53}# f[‘school_info‘]={‘website‘:‘http://www.pypy.org‘,‘city‘:‘beijing‘}print(f[‘stu1_info‘][‘hobby‘])f.close()
json&pickle模块shelve模块
原文地址：http://www.cnblogs.com/litzhiai/p/7778516.html