numpy.array_split#
- numpy.array_split(ary, indices_or_sections, axis=0)[source]#
Split an array into multiple sub-arrays.
Please refer to the
split
documentation. The only difference between these functions is thatarray_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.See also
split
Split array into multiple sub-arrays of equal size.
Examples
>>> 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])]