python numpy 二维数组reshape成三维数组
如下:>>> a = np.arange(20)>>> a.reshape((4,5))array([[ 0,1,2,3,4],[ 5,6,7,8,9],[10, 11, 12, 13, 14],[15, 16, 17, 18, 19]])>>> a= a.reshape((4,5))>>> aarray([[ 0,1,2,3
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如下:
>>> a = np.arange(20)
>>> a.reshape((4,5))
array([[ 0, 1, 2, 3, 4],
[ 5, 6, 7, 8, 9],
[10, 11, 12, 13, 14],
[15, 16, 17, 18, 19]])
>>> a= a.reshape((4,5))
>>> a
array([[ 0, 1, 2, 3, 4],
[ 5, 6, 7, 8, 9],
[10, 11, 12, 13, 14],
[15, 16, 17, 18, 19]])
>>> a=a.reshape((2,2,1))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ValueError: cannot reshape array of size 20 into shape (2,2,1)
>>> a=a.reshape((2,2,5))
>>> a
array([[[ 0, 1, 2, 3, 4],
[ 5, 6, 7, 8, 9]],
[[10, 11, 12, 13, 14],
[15, 16, 17, 18, 19]]])
>>>
可以发现shape为4行,5列的数组变为shape为2,2,5的数组,每一行的数据没有改变,保持内部的结构
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