Python中reshape的用法?
使用数组的reshape方法，可以创建一个改变了尺寸的新数组，原数组的shape保持不变；1 >>> a = np.array();b = np.array((5, 6, 7, 8));c = np.array([,, ])
2 >>> b
3 array()
4 >>> c
5 array([[ 1,2,3,4],
6 [ 4,5,6,7],
7 [ 7,8,9, 10]])
8 >>> c.dtype
9 dtype('int32')
10 >>> d = a.reshape((2,2))
11 >>> d
12 array([,
13 ])
14 >>> d = a.reshape((1,2))
15 Traceback (most recent call last):
16 File "<pyshell#27>", line 1, in <module>
17 d = a.reshape((1,2))
18 ValueError: total size of new array must be unchanged
19 >>> d = a.reshape((1,-1))
20 >>> d
21 array([])
>>> d = a.reshape((-1,1))
>>> d
array([,
,
,
])
注意:a.reshape((1,-1))和a.reshape((1,2))和a.reshape((-1,1))
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