numpoly.full_like

numpoly.full_like(a: numpoly.typing.PolyLike, fill_value: 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]]], dtype: Union[numpy.dtype[Any], None, Type[Any], numpy._typing._dtype_like._SupportsDType[numpy.dtype[Any]], str, Tuple[Any, int], Tuple[Any, Union[SupportsIndex, Sequence[SupportsIndex]]], List[Any], numpy._typing._dtype_like._DTypeDict, Tuple[Any, Any]] = None, order: str = 'K', subok: bool = True, shape: Optional[Sequence[int]] = None) → numpoly.baseclass.ndpoly

Return a full array 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.

fill_value:

Fill value. Must be broadcast compatible with shape.

dtype:

Overrides the data type of the result.

order:

Overrides the memory layout of the result. ‘C’ means C-order, ‘F’ means F-order, ‘A’ means ‘F’ if a is Fortran contiguous, ‘C’ otherwise. ‘K’ means match the layout of a as closely as possible.

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 fill_value with the same shape and type as a.

Example:

>>> poly = numpoly.monomial(3)
>>> poly
polynomial([1, q0, q0**2])
>>> q0, q1 = numpoly.variable(2)
>>> numpoly.full_like(poly, q1-1.)
polynomial([q1-1, q1-1, q1-1])