1、无论是浅拷贝还是深拷贝，拷贝对象后是否会开辟新内存，取决于被拷贝对象的数据类型是否可变，一般来讲，可变的数据类型会开辟新内存，不可变数据类型反之不会开辟新内存，进行内存地址的引用(-5-256以外的大整数池会开辟内存，但我本地进行测试比较内存还是一样的，有问题)
2、要在单层、嵌套型对象中逐一比较拷贝
3、浅拷贝和深拷贝的区别主要体现在对嵌套型结构的拷贝上
1 import copy 2 3 print("================赋值==================") 4 prototype_lst = [1, 2, 5, [78, 90]] 5 a = prototype_lst 6 prototype_lst.append(9) 7 print(prototype_lst, a) 8 9 print("================浅拷贝==================") 10 prototype_lst.pop(-1) 11 shallow_b = prototype_lst.copy() 12 # 原始列表子对象发生变化，拷贝对象后内部子对象也跟着改变 13 prototype_lst[-1].append(100) 14 print("原始列表:", prototype_lst, "拷贝后列表:", shallow_b) 15 16 print("================深拷贝==================") 17 deep_b = copy.deepcopy(prototype_lst) 18 # 原始列表子对象发生变化，拷贝对象后内部子对象不变 19 prototype_lst[-1].append(0) 20 print("原始列表:", prototype_lst, "拷贝后列表:", deep_b) 21 22 # 不可变数据类型的浅拷贝和深拷贝 23 prototype_tuple = (1, 2) 24 shallow_c = copy.copy(prototype_tuple) 25 deep_c = copy.deepcopy(prototype_tuple) 26 print(id(shallow_c) == id(deep_c))
output：
================赋值==================
[1, 2, 5, [78, 90], 9] [1, 2, 5, [78, 90], 9]
================浅拷贝==================
原始列表: [1, 2, 5, [78, 90, 100]] 拷贝后列表: [1, 2, 5, [78, 90, 100]]
================深拷贝==================
原始列表: [1, 2, 5, [78, 90, 100, 0]] 拷贝后列表: [1, 2, 5, [78, 90, 100]]
True