可pickle的部分类

在Python中，只有可序列化的对象才能被pickle模块处理。以下是一些常见的可pickle的部分类及其代码示例：

1. 列表（List）：

import pickle

my_list = [1, 2, 3, 4, 5]

# 将列表对象pickle到文件
with open('my_list.pickle', 'wb') as file:
    pickle.dump(my_list, file)

# 从文件中unpickle列表对象
with open('my_list.pickle', 'rb') as file:
    unpickled_list = pickle.load(file)

print(unpickled_list)  # 输出：[1, 2, 3, 4, 5]

2. 字典（Dictionary）：

import pickle

my_dict = {'name': 'John', 'age': 25, 'city': 'New York'}

# 将字典对象pickle到文件
with open('my_dict.pickle', 'wb') as file:
    pickle.dump(my_dict, file)

# 从文件中unpickle字典对象
with open('my_dict.pickle', 'rb') as file:
    unpickled_dict = pickle.load(file)

print(unpickled_dict)  # 输出：{'name': 'John', 'age': 25, 'city': 'New York'}

3. 类对象（Class Object）：

import pickle

class MyClass:
    def __init__(self, name):
        self.name = name

my_obj = MyClass('John')

# 将类对象pickle到文件
with open('my_obj.pickle', 'wb') as file:
    pickle.dump(my_obj, file)

# 从文件中unpickle类对象
with open('my_obj.pickle', 'rb') as file:
    unpickled_obj = pickle.load(file)

print(unpickled_obj.name)  # 输出：John

4. 自定义对象（Custom Object）：

import pickle

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

person = Person('John', 25)

# 将自定义对象pickle到文件
with open('person.pickle', 'wb') as file:
    pickle.dump(person, file)

# 从文件中unpickle自定义对象
with open('person.pickle', 'rb') as file:
    unpickled_person = pickle.load(file)

print(unpickled_person.name)  # 输出：John
print(unpickled_person.age)  # 输出：25

请注意，使用pickle时需要小心，因为它可以执行任意的代码，这可能会导致安全风险。只有信任的数据和代码应该被pickle和unpickle。