numpy.split()

numpy.split

numpy.split(ary, indices_or_sections, axis=0)[source]

Split an array into multiple sub-arrays.

Parameters:	ary : ndarray Array to be divided into sub-arrays. indices_or_sections : int or 1-D array If indices_or_sections is an integer, N, the array will be divided into N equal arrays along axis. If such a split is not possible, an error is raised. If indices_or_sections is a 1-D array of sorted integers, the entries indicate where along axis the array is split. For example, [2, 3] would, for axis=0, result in ary[:2] ary[2:3] ary[3:] If an index exceeds the dimension of the array along axis, an empty sub-array is returned correspondingly. axis : int, optional The axis along which to split, default is 0.
Returns:	sub-arrays : list of ndarrays A list of sub-arrays.
Raises:	ValueError If indices_or_sections is given as an integer, but a split does not result in equal division.

第一个参数array：输入序列

第二个参数indices_or_sections：分割参考

1. 若是整型，则会将序列均分（下标超出等不可能实现的情况会报错
2. 若是有序序列，会按照序列的数值为截点依次分割

第三个参数axis：0为水平1为竖直

>>> x = np.arange(9.0)
>>> np.split(x, 3)
[array([0.,  1.,  2.]), array([3.,  4.,  5.]), array([6.,  7.,  8.])]

>>> x = np.arange(8.0)
>>> np.split(x, [3, 5, 6, 10])
[array([0.,  1.,  2.]),
 array([3.,  4.]),
 array([5.]),
 array([6.,  7.]),
 array([], dtype=float64)]

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