python-- pickle 序列化

pickle

dump的结果是bytes, dump用的f文件句柄需要以wb的形式打开, load所用的f是'rb'模式

• 支持几乎所有对象的序列化
• 对于对象的序列化需要这个对象对应的类在内存中
• 对于多次dump / load的操作做了良好的处理

import pickle

dic = {1: (12, 3, 4), ('a', 'b'): 4}
pic_dic = pickle.dumps(dic)
print(pic_dic)  # bytes类型
new_dic = pickle.loads(pic_dic)
print(new_dic)

结果：

b'x80x03}qx00(Kx01Kx0cKx03Kx04x87qx01Xx01x00x00x00aqx02Xx01x00x00x00bqx03x86qx04Kx04u.'
{1: (12, 3, 4), ('a', 'b'): 4}

pickle支持几乎所有对象的

import pickle


class Student:
    def __init__(self, name, age):
        self.name = name
        self.age = age


zou = Student('aa', 22)
ret = pickle.dumps(zou)
pickle_data = pickle.loads(ret)
print(pickle_data.name)
print(pickle_data.age)

结果：

aa
22

例

import pickle


class Student:
    def __init__(self, name, age):
        self.name = name
        self.age = age


zou = Student('aaa', 83)
with open('pickle_demo', 'wb') as f:
    pickle.dump(zou, f)
with open('pickle_demo', 'rb') as f:
    pic = pickle.load(f)
    print(pic.name)  # 没有上面的类就会报错，因为句话是从实例化类里拿name属性

结果：

aaa

例

import pickle

with open('pickle_demo', 'wb') as f:
    pickle.dump({'k1': 'v1'}, f)
    pickle.dump({'k11': 'v1'}, f)
    pickle.dump({'k11': 'v1'}, f)
    pickle.dump({'k12': [1, 2, 3]}, f)
    pickle.dump(['k1', 'v1', 'l1'], f)

with open('pickle_demo', 'rb') as f:
    while True:
        try:
            print(pickle.load(f))
        except EOFError:
            break

结果：

{'k1': 'v1'}
{'k11': 'v1'}
{'k11': 'v1'}
{'k12': [1, 2, 3]}
['k1', 'v1', 'l1']