numpoly.array_split

numpoly.array_split(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]]], axis: int = 0) → List[numpoly.baseclass.ndpoly]

Split an array into multiple sub-arrays.

Please refer to the split documentation. The only difference between these functions is that 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.

Note:

split : Split an array into multiple sub-arrays of equal size.

Example:

>>> poly = numpoly.monomial(8).reshape(2, 4)
>>> poly
polynomial([[1, q0, q0**2, q0**3],
            [q0**4, q0**5, q0**6, q0**7]])
>>> parts = numpoly.array_split(poly, 3, axis=1)
>>> part1, part2, part3 = parts
>>> part1
polynomial([[1, q0],
            [q0**4, q0**5]])
>>> part2
polynomial([[q0**2],
            [q0**6]])
>>> part3
polynomial([[q0**3],
            [q0**7]])