json反序列化与pickle的用法

序列化

info={"name":"kezi","age":22}
f=open("test.text","w")
f.write(str(info))
f.close()


反序列

info={"name":"kezi","age":22}
f=open("test.text","r")
data=eval(f.read())
f.close()
print (data[‘age‘])


打印结果
22

 


json 简单用法

import json

info={"name":"kezi","age":22}
f=open("test.text","w")
print(json.dumps(info))
f.write(json.dumps(info))
#f.write(str(info))
f.close()

打印结果
{"age": 22, "name": "kezi"}

 

import json

f=open("test.text","r")
#data=eval(f.read())
data=json.loads(f.read())
f.close()
print (data[‘age‘])
打印结果
22

序列化
pickle

import pickle
def si(name):
print("helle",name)
info={"name":"kezi","age":22,"func":si}
f=open("test.text","wb")
print(pickle.dumps(info))
f.write(pickle.dumps(info))
#f.write(str(info))
f.close()

打印结果
b‘\x80\x03}q\x00(X\x04\x00\x00\x00nameq\x01X\x04\x00\x00\x00keziq\x02X\x03\x00\x00\x00ageq\x03K\x16X\x04\x00\x00\x00funcq\x04c__main__\nsi\nq\x05u.‘

反序列化


import pickle
def si(name):
print("helle2",name)
f=open("test.text","rb")
#data=eval(f.read())
data=pickle.loads(f.read())
f.close()
print (data["func"]("kezi"))


打印结果
helle2 kezi
None

另一种简化写法
import pickle
def si(name):
print("helle",name)
info={"name":"kezi","age":22,"func":si}
f=open("test.text","wb")
pickle.dump(info,f) #f.write(pickle.dumps(info))
f.close()

import pickle
def si(name):
print("helle2",name)
f=open("test.text","rb")
#data=eval(f.read())
data=pickle.load(f)#data=pickle.loads(f.read())
f.close()
print (data ["func"]("kezi"))