numpoly.zeros_like

numpoly.zeros_like(a: numpoly.typing.PolyLike, dtype: DTypeLike | None = None, order: None | Literal['C'] | Literal['F'] = None, subok: bool = True, shape: Sequence[int] | None = None) → ndpoly

Return an array of zeros with the same shape and type as a given array.

Args:

a:

The shape and data-type of a define these same attributes of the returned array.

dtype:

Overrides the data type of the result.

order:

Overrides the memory layout of the result. ‘C’ means C-order, ‘F’ means F-order. If omitted: ‘F’ if a is Fortran contiguous, ‘C’ otherwise.

subok:

If True, then the newly created array will use the sub-class type of ‘a’, otherwise it will be a base-class array. Defaults to True.

shape:

Overrides the shape of the result. If order=’K’ and the number of dimensions is unchanged, will try to keep order, otherwise, order=’C’ is implied.

Return:

Array of zeros with the same shape and type as a.

Example:

>>> poly = numpoly.monomial(3)
>>> poly
polynomial([1, q0, q0**2])
>>> numpoly.zeros_like(poly)
polynomial([0, 0, 0])