numpy.hsplit

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.hsplit.html

译者：飞龙 UsyiyiCN

校对：（虚位以待）

numpy.hsplit(ary, indices_or_sections)[source]

将数组水平（逐列）拆分为多个子数组。

请参阅split文档。hsplit is equivalent to split with axis=1, the array is always split along the second axis regardless of the array dimension.

也可以看看

split

将数组拆分为多个大小相等的子数组。

例子

>>> x = np.arange(16.0).reshape(4, 4)
>>> x
array([[  0.,   1.,   2.,   3.],
       [  4.,   5.,   6.,   7.],
       [  8.,   9.,  10.,  11.],
       [ 12.,  13.,  14.,  15.]])
>>> np.hsplit(x, 2)
[array([[  0.,   1.],
       [  4.,   5.],
       [  8.,   9.],
       [ 12.,  13.]]),
 array([[  2.,   3.],
       [  6.,   7.],
       [ 10.,  11.],
       [ 14.,  15.]])]
>>> np.hsplit(x, np.array([3, 6]))
[array([[  0.,   1.,   2.],
       [  4.,   5.,   6.],
       [  8.,   9.,  10.],
       [ 12.,  13.,  14.]]),
 array([[  3.],
       [  7.],
       [ 11.],
       [ 15.]]),
 array([], dtype=float64)]

使用较高维数组，分割仍沿着第二轴。

>>> x = np.arange(8.0).reshape(2, 2, 2)
>>> x
array([[[ 0.,  1.],
        [ 2.,  3.]],
       [[ 4.,  5.],
        [ 6.,  7.]]])
>>> np.hsplit(x, 2)
[array([[[ 0.,  1.]],
       [[ 4.,  5.]]]),
 array([[[ 2.,  3.]],
       [[ 6.,  7.]]])]