Split an array into multiple sub-arrays.
Please refer to the dpnp.split documentation. The only difference
between these functions is that dpnp.array_split allows
indices_or_sections to be an integer that does not equally divide the
axis. For 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.
For full documentation refer to numpy.array_split.
ary ({dpnp.ndarray, usm_ndarray}) -- Array to be divided into sub-arrays.
indices_or_sections ({int, sequence of ints}) -- If indices_or_sections is an integer, N, and array length is l, it
returns l % n sub-arrays of size l//n + 1 and the rest of size
l//n.
If indices_or_sections is a sequence of sorted integers, the entries
indicate where along axis the array is split.
axis (int, optional) --
The axis along which to split.
Default: 0.
sub-arrays -- A list of sub arrays. Each array is a view of the corresponding input array.
list of dpnp.ndarray
See also
dpnp.splitSplit array into multiple sub-arrays of equal size.
Examples
>>> import dpnp as np
>>> x = np.arange(8.0)
>>> np.array_split(x, 3)
[array([0., 1., 2.]), array([3., 4., 5.]), array([6., 7.])]
>>> x = np.arange(9)
>>> np.array_split(x, 4)
[array([0, 1, 2]), array([3, 4]), array([5, 6]), array([7, 8])]