- 浅拷贝 copy
不拷贝子对象，故如果子对象变化，拷贝的数据子对象也会变化。 - 深拷贝 deepcopy
包含对象里面的自对象的拷贝，所以原始对象的改变不会造成深拷贝里任何子元素的改变
看例子：
In [1]: alist = [1,2,[3,4,5],6,7]
In [2]: # 直接赋值，原始对象改变时，拷贝对象也跟随变化
In [3]: blist = alist
In [4]: print alist
[1, 2, [3, 4, 5], 6, 7]
In [5]: print blist
[1, 2, [3, 4, 5], 6, 7]
In [6]: alist[2][1]='a'
In [7]: print alist
[1, 2, [3, 'a', 5], 6, 7]
In [8]: print blist
[1, 2, [3, 'a', 5], 6, 7]
通过浅拷贝，不会拷贝子对象，故子对象若改变，拷贝的对象也会改变
In [10]: import copy
In [11]: clist = copy.copy(alist)
In [12]: print clist
[1, 2, [3, 'a', 5], 6, 7]
In [13]: print alist
[1, 2, [3, 'a', 5], 6, 7]
In [14]: alist.append('b')
In [15]: print alist
[1, 2, [3, 'a', 5], 6, 7, 'b']
In [16]: print blist
[1, 2, [3, 'a', 5], 6, 7, 'b']
In [17]: print clist
[1, 2, [3, 'a', 5], 6, 7]
In [18]: alist[2].append('sub')
In [19]: print alist
[1, 2, [3, 'a', 5, 'sub'], 6, 7, 'b']
In [20]: print clist
[1, 2, [3, 'a', 5, 'sub'], 6, 7]
深拷贝则会完整的拷贝所有原始对象，原始对象的变化不会影响拷贝对像
In [21]: dlist = copy.deepcopy(alist)
In [22]: print dlist
[1, 2, [3, 'a', 5, 'sub'], 6, 7, 'b']
In [23]: print alist
[1, 2, [3, 'a', 5, 'sub'], 6, 7, 'b']
In [24]: alist[2].append(10)
In [25]: print alist
[1, 2, [3, 'a', 5, 'sub', 10], 6, 7, 'b']
In [26]: print dlist
[1, 2, [3, 'a', 5, 'sub'], 6, 7, 'b']
