1、JSON序列化

import json

#将字典写入文件,JSON序列化（dumps）
a = {
    ‘name‘:‘lili‘,
    ‘age‘:22,
    ‘salary‘:2000
}

with open(‘file01.txt‘,‘w‘) as f:
    f.write(json.dumps(a))

2、JSON反序列化

#将文件读出，并显示为字典，JSON反序列化（loads）

with open(‘file01.txt‘,‘r‘) as f1:
    line = json.loads(f1.read())
    print(line[‘age‘])

3、Pickle序列化

------dumps方法------

import pickle

def func1(name):
    print(‘hello‘,name)

a = {
    ‘name‘:‘lili‘,
    ‘age‘:22,
    ‘salary‘:2000,
    ‘arge‘:func1
}

with open(‘file01.txt‘,‘wb‘) as f:
    f.write(pickle.dumps(a))

------dump方法------

import pickle

def func1(name):
    print(‘hello..‘,name)

a = {
    ‘name‘:‘lili‘,
    ‘age‘:22,
    ‘salary‘:2000,
    ‘arge‘:func1
}

with open(‘file01.txt‘,‘wb‘) as f:
    pickle.dump(a,f)

4、Pickle反序列化

------loads方法------

with open(‘file01.txt‘,‘rb‘) as f1:
    def func1(name):
        print(‘hello‘, name)
    line = pickle.loads(f1.read())
    print(line[‘arge‘](‘lili‘))

运行结果：

------load方法------

with open(‘file01.txt‘,‘rb‘) as f1:
    data = http://www.mamicode.com/pickle.load(f1)
    print(data)

Python 3.x--序列化及反序列化