python的json序列化

标签：序列化   eval   bsp   name   pre   print   序列   使用   def   

info = {
    "name":"roger",
    "age":12
}

f = open("test.txt","w")
f.write(str(info))
f.close()

f = open("test.txt","r")
data = f.read()
print(data["name"])
f.close()
会报错

使用eval()

f = open("test.txt","r")
data = f.read()
print(eval(data)["name"])
f.close()

用json的方式

import json
info = {‘name‘:‘roger‘,‘age‘:12}
print(json.dumps(info))
f = open("test.txt","w")
f.write(json.dumps(info))

import json
f = open("test.txt","r")
data = json.loads(f.read())
print(data["age"])
f.close()

再来一例子：pic

import pickle
def functest():
    pass
info = {‘name‘:‘roger‘,‘age‘:12,‘func‘:functest}
print(pickle.dumps(info))
f = open("test.txt","wb")
f.write(pickle.dumps(info))

import pickle
def functest():
    pass
f = open("test.txt","rb")
data = pickle.loads(f.read())
print(data["age"])
f.close() 

再来一例子
import pickle
def functest():
    pass
info = {‘name‘:‘roger‘,‘age‘:12,‘func‘:functest}
print(pickle.dumps(info))
f = open("test.txt","wb")
f.write(pickle.dumps(info))

import pickle
def functest():
    print("test")
f = open("test.txt","rb")
data = pickle.loads(f.read())
print(data["func"]())
f.close()

上面的也可以这写：

import pickle
def functest():
    pass
info = {‘name‘:‘roger‘,‘age‘:12,‘func‘:functest}

f = open("test.txt","wb")

pickle.dump(info,f)

f.close()

import pickle
def functest():
    print("test")
f = open("test.txt","rb")
data = pickle.load(f)
print(data["func"]())
f.close()

记住：dump一次，load一次。

python的json序列化

标签：序列化   eval   bsp   name   pre   print   序列   使用   def   

原文地址：https://www.cnblogs.com/wherewhenwho/p/9035335.html