dic = {'k1':'v1'}

#转换成json

import json

str_d = json.dumps(dic) #序列化

dic_d = json.loads(str_d)#反序列化

#可序列化的类型 数字 字符串 列表 字典 

dic = {1：'a',2:'b'}

f = open('fff','w',encoding = 'utf-8')

json.dump(dic,f，ensure_ascii=False) #序列化 按照正常的编码格式，显示中文

f.close()

f = open('fff','w',encoding = 'utf-8')

ret = json.load() #反序列化

print(type(res),res)

f.close()

#可以分布的 dump load 操作文件需要使用 'wb' 模式

import pickle

dic = {'k1':'v1','k2':'v2','k3':'v3'}

str_dic = pickle.dumps(dic)

print(str_dic)  #一串二进制内容

dic2 = pickle.loads(str_dic)

print(dic2)    #字典

import time

struct_time1  = time.localtime(1000000000)

struct_time2  = time.localtime(2000000000)

f = open('pickle_file','wb')

pickle.dump(struct_time1,f)

pickle.dump(struct_time2,f)

f.close()

f = open('pickle_file','rb')

struct_time1 = pickle.load(f)

struct_time2 = pickle.load(f)

print(struct_time1.tm_year)

print(struct_time2.tm_year)

f.close()

import shelve

f = shelve.open('shelve_file')

f['key'] = {'int':10, 'float':9.5, 'string':'Sample data'}  #直接对文件句柄操作，就可以存入数据

f.close()

import shelve

f1 = shelve.open('shelve_file')

existing = f1['key']  #取出数据的时候也只需要直接用key获取即可，但是如果key不存在会报错

f1.close()

print(existing)

import shelve

f = shelve.open('shelve_file', flag='r')

existing = f['key']

print(existing)

f.close()

f = shelve.open('shelve_file', flag='r')

existing2 = f['key']

f.close()

print(existing2)

import shelve

f1 = shelve.open('shelve_file')

print(f1['key'])

f1['key']['new_value'] = 'this was not here before'

f1.close()

f2 = shelve.open('shelve_file', writeback=True)

print(f2['key'])

f2['key']['new_value'] = 'this was not here before'

f2.close()