1. 赋值
```Python
lst1 = [1, 2, 3, ["a", "b", "c"]]
lst2 = lst1
lst1[0] = 11
print(lst1) #[11, 2, 3, ['a', 'b', 'c']]
print(lst2) #[11, 2, 3, ['a', 'b', 'c']]
lst1[3][0] = "d"
print(lst1) #[11, 2, 3, ['d', 'b', 'c']]
print(lst2) #[11, 2, 3, ['d', 'b', 'c']]
对于赋值运算来说，lst1和lst2指向的是同一个内存地址，所以它们是一样的。
<h2>2. 浅copy</h2>
<h3>2.1 示例1</h3>
```Python
lst1 = [1, 2, 3, ["a", "b", "c"]]
lst2 = lst1.copy()
print(lst1, id(lst1))
print(lst2, id(lst2))
执行结果为：
[1, 2, 3, ['a', 'b', 'c']] 48285736
[1, 2, 3, ['a', 'b', 'c']] 48285776
2.2 示例二
```Python
lst1 = [1, 2, 3, ["a", "b", "c"]]
lst2 = lst1.copy()
lst1[0] = 11
print(lst1, id(lst1))
print(lst2, id(lst2))
```
执行结果为：
```Python
[11, 2, 3, ['a', 'b', 'c']] 48285736
[1, 2, 3, ['a', 'b', 'c']] 48285776
```
2.3 示例三
```Python
lst1 = [1, 2, 3, ["a", "b", "c"]]
lst2 = lst1.copy()
lst1[3][0] = "d"
print(lst1, id(lst1))
print(lst2, id(lst2))
```
执行结果为：
```Python
[1, 2, 3, ['d', 'b', 'c']] 48285536
[1, 2, 3, ['d', 'b', 'c']] 48285736
```
2.4 总结
对于浅copy来所，第一层创建的是新的内存地址，而从第二层开始，指向的都是同一个内存地址。
所以，对于第二层以及更深的层数来说，保持一致性。
3. 深拷贝(deepcopy)
3.1 示例一
```Python
import copy
lst1 = [1, 2, 3, ["a", "b", "c"]]
lst2 = copy.deepcopy(lst1)
print(lst1, id(lst1))
print(lst2, id(lst2))
执行结果为：
```Python
[1, 2, 3, ['a', 'b', 'c']] 54249392
[1, 2, 3, ['a', 'b', 'c']] 54249992
3.2 示例二
```Python
import copy
lst1 = [1, 2, 3, ["a", "b", "c"]]
lst2 = copy.deepcopy(lst1)
lst1[0] = 11
print(lst1, id(lst1))
print(lst2, id(lst2))
执行结果为：
```Python
[11, 2, 3, ['a', 'b', 'c']] 48678832
[1, 2, 3, ['a', 'b', 'c']] 48679432
3.3 示例三
```Python
import copy
lst1 = [1, 2, 3, ["a", "b", "c"]]
lst2 = copy.deepcopy(lst1)
lst1[3][0] = "d"
print(lst1, id(lst1))
print(lst2, id(lst2))
执行结果为：
```Python
[1, 2, 3, ['d', 'b', 'c']] 46516144
[1, 2, 3, ['a', 'b', 'c']] 46516744
3.4 总结
对于deepcopy来说，两个是完全独立的，改变任意一个的任何元素(无论多少层)，另一个绝对不改变。