Json与pickle数据序列化

json 普通的字典形式

pickle  复杂的

还有dumps  loads,    dump  load成对出现

test.text

{"name": "alex", "age": 22}

一、序列化

#import json

import pickle

def sayhi(name):
    print("hello,",name)

info = {
    'name':'alex',
    'age':22,
    'func':sayhi
}


f = open("test.text","wb")
#print(json.dumps(info))
print( )
f.write( pickle.dumps( info) )

f.close()


反序列化

import pickle

def sayhi(name):
    print("hello2,",name)


f = open("test.text","rb")

data = pickle.loads(f.read())

print(data["func"]("Alex"))

结果

test.text

�}q

hello2, Alex
None

二、

#import json

import pickle

def sayhi(name):
    print("hello,",name)

info = {
    'name':'alex',
    'age':22,
    'func':sayhi
}

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

pickle.dump(info,f) #f.write( pickle.dumps( info) )

f.close()

反序列化

import pickle

def sayhi(name):
    print("hello2,",name)

f = open("test.text","rb")

data = pickle.load(f) #data = pickle.loads(f.read())

print(data["func"]("Alex"))


结果：

hello2, Alex
None

三、

import json

def sayhi(name):
    print("hello,",name)

info = {
    'name':'alex',
    'age':22,
    #'func':sayhi
}

f = open("test.text","w")
f.write( json.dumps( info) )

info['age'] = 21
f.write( json.dumps( info) )

f.close()

反序列化

import json

f = open("test.text","r")

#data = json.loads(f.read()) #data = pickle.loads(f.read())

for line in f:
    print(json.loads(line))

结果：
报错

File "C:\Program Files\Python36-32\lib\json\decoder.py", line 342, in decode
raise JSONDecodeError("Extra data", s, end)
json.decoder.JSONDecodeError: Extra data: line 1 column 28 (char 27)

只dumps一次，只loads一次