一次偶然的机会，发现python中list非常有意思。

先看一段代码

[py]
array = [0, 0, 0]
matrix = [array*3]
print matrix
## [[0,0,0,0,0,0,0,0,0]][/py]

这段代码其实没有新建一个二维数组

再看一段代码

[py]
array = [0, 0, 0]
matrix = [array] * 3
print matrix
## [[0, 0, 0], [0, 0, 0], [0, 0, 0]][/py]

咋一看这段代码应该创建一个二维数组了

测试一下

[py]
matrix[0][1] = 1
print matrix
## [[0, 1, 0], [0, 1, 0], [0, 1, 0]][/py]

照理matrix[0][1]修改的应该只是二维数组中的一个元素，但是测试结果表明，修改的是每个List的第二个元素。
有问题看文档，然后我找到了The Python Standard Library
其中5.6. Sequence Types是这样描述的：

Note also that the copies are shallow; nested structures are not copied. This often haunts new Python programmers; consider:
>>> lists = [[]] * 3
>>> lists
[[], [], []]
>>> lists[0].append(3)
>>> lists
[[3], [3], [3]]

What has happened is that [[]] is a one-element list containing an empty list, so all three elements of [[]] * 3 are (pointers to) this single empty list. Modifying any of the elements of lists modifies this single list. You can create a list of different lists this way:

>>>
>>> lists = [[] for i in range(3)]
>>> lists[0].append(3)
>>> lists[1].append(5)
>>> lists[2].append(7)
>>> lists
[[3], [5], [7]]
也就是说matrix = [array] * 3操作中，只是创建3个指向array的引用，所以一旦array改变，matrix中3个list也会随之改变。

那如何才能在python中创建一个二维数组呢？
例如创建一个3*3的数组
方法1 直接定义

[py]matrix = [[0, 0, 0], [0, 0, 0], [0, 0, 0]][/py]

方法2 间接定义

matrix = [[0 for i in range(3)] for i in range(3)]

附：
我的测试代码

参考：
python的二维数组操作
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