序列化:

1.json

2.pickle

4个方法 2组

dumps loads -- 用于网络传输

dump load -- 用于文件存储

dic = {"key": 1}

lst = [1,2,3,4]

手写

new_dic = {}

k,v = dic.replace("{","").replace("}","").replace(‘"‘,"").split(":")

new_dic[k] = v

print(new_dic["key"])

import json # 重点

s = json.dumps(dic)

print(s,type(s))

d = json.loads(s)

print(d,type(d))

s = json.dumps(lst) #序列

l = json.loads(s) # 反序列

print(l,type(l))

import json

def func():

print(11)

print(json.dumps(func))

将数据类型转换成字符串(序列化),将字符串转成原数据类型(反序列)

能够序列: 字典,列表,元组序列后变成列表

dic = {"key":1}

json.dump(dic,open("a","a",encoding="utf-8")) # 将源数据类型转换成字符串,写入到文件中

print(json.load(open("a","r",encoding="utf-8"))[‘key‘]) # 将文件中字符串转成源数据类型

dic = {"key":"宝元"}

f = open("a","a",encoding="utf-8")

f.write(json.dumps(dic)+"\n")

f.write(json.dumps(dic)+"\n")

f.write(json.dumps(dic)+"\n")

f.write(json.dumps(dic)+"\n")

f1 = open("a","r",encoding="utf-8")

for i in f1:

print(json.loads(i),type(json.loads(i)))

dic = {"meet":27,"太白":30,"alex":36,"wusir":33}

print(json.dumps(dic,ensure_ascii=False,sort_keys=True))

pickle

只有python有,几乎可以序列python中所有数据类型,匿名函数不能序列

import pickle

def func():

print(1)

a = pickle.dumps(func) # 将原数据类型转换成类似字节的内容

print(pickle.loads(a)) # 将类似字节的内容转换成原数据类型

jason文件传输和网络传输

原文：https://www.cnblogs.com/python25/p/11402593.html