array_split(ary, indices_or_sections, axis=0)
Please refer to the split
documentation. The only difference between these functions is that array_split
allows :None:None:`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.
Split an array into multiple sub-arrays.
split
Split array into multiple sub-arrays of equal size.
>>> 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)See :
... np.array_split(x, 4) [array([0, 1, 2]), array([3, 4]), array([5, 6]), array([7, 8])]
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.split
numpy.concatenate
numpy.core._multiarray_umath.concatenate
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