mxnet.np.array_split¶
-
array_split
(ary, indices_or_sections, axis=0)¶ Split an array into multiple sub-arrays.
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 array of length l that should be split into n sections, it returns l % n sub-arrays of size l//n + 1 and the rest of size l//n.
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, foraxis=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.
- Parameters
ary (ndarray) – Array to be divided into sub-arrays.
indices_or_sections (int or 1-D Python tuple, list or set.) – Param used to determine the number and size of the subarray.
axis (int, optional) – The axis along which to split, default is 0.
- Returns
sub-arrays – A list of sub-arrays.
- Return type
list of ndarrays
Examples
>>> x = np.arange(9.0) >>> np.array_split(x, 3) [array([0., 1., 2.]), array([3., 4., 5.]), array([6., 7., 8.])]
>>> np.array_split(x, [3, 5, 6, 8]) [array([0., 1., 2.]), array([3., 4.]), array([5.]), array([6., 7.]), array([])]
>>> x = np.arange(8.0) >>> np.array_split(x, 3) [array([0., 1., 2.]), array([3., 4., 5.]), array([6., 7.])]
>>> x = np.arange(7.0) >>> np.array_split(x, 3) [array([0., 1., 2.]), array([3., 4.]), array([5., 6.])]