json and pickie 序列化

Posted 2020-10-18 雨之愿风

• json只能用于简单的数据类型，例如：字典啊，列表啊，字符串之类的，无法处理复杂的，例如带有函数的
• json适用于所有的开发语言
• dumps与loads只对应使用一次，若dumps多次，则loads出错

 

• import json    json.dumps()   and json.loads()

import json

info = {
    "name":"alex",
    "age": 23
}
f = open("test.txt","w",encoding="utf-8")
f.write(json.dumps(info))
f.close()

test1序列化

import json

f = open("test.txt","r",encoding="utf-8")
data = json.loads(f.read())
print(data)

test1反序列化

• import json    json.dump()   and json.load()

import json

info = {
    "name":"alex",
    "age": 23
}
f = open("test.txt","w",encoding="utf-8")
json.dump(info,f) #相当于f.write(json.dumps(info))
f.close()

test2序列化

import json

f = open("test.txt","r",encoding="utf-8")
data = json.load(f)#相当于data = json.loads(f.read())
print(data)
f.close()

test2反序列化

• import  pickle   处理复杂类型：只适用于python

import pickle

def func(name):
    print("name",name)
info = {
    "name":"alex",
    "age": 23,
    "function":func

}
f = open("test.txt","wb")
f.write(pickle.dumps(info))

f.close()

test3序列化

import pickle
def func(name):
    print("name",name)
    print("这里只保存了对应函数的名称，有相应的名称则能使用，里面的内容可以不同")

f = open("test.txt","rb")
data = pickle.loads(f.read())
print(data)
f.close()

test3反序列化