numpoly.dsplit

numpoly.dsplit(ary: numpoly.typing.PolyLike, indices_or_sections: Union[numpy._typing._array_like._SupportsArray[numpy.dtype], numpy._typing._nested_sequence._NestedSequence[numpy._typing._array_like._SupportsArray[numpy.dtype]], bool, int, float, complex, str, bytes, numpy._typing._nested_sequence._NestedSequence[Union[bool, int, float, complex, str, bytes]]]) → List[numpoly.baseclass.ndpoly]

Split array into multiple sub-arrays along the 3rd axis (depth).

Please refer to the split documentation. dsplit is equivalent to split with axis=2, the array is always split along the third axis provided the array dimension is greater than or equal to 3.

Example:

>>> poly = numpoly.monomial(8).reshape(2, 2, 2)
>>> poly
polynomial([[[1, q0],
             [q0**2, q0**3]],

            [[q0**4, q0**5],
             [q0**6, q0**7]]])
>>> part1, part2 = numpoly.dsplit(poly, 2)
>>> part1
polynomial([[[1],
             [q0**2]],

            [[q0**4],
             [q0**6]]])
>>> part2
polynomial([[[q0],
             [q0**3]],

            [[q0**5],
             [q0**7]]])