numpoly.polynomial

numpoly.polynomial(poly_like: numpoly.typing.PolyLike = 0, names: None | str | Tuple[str, ...] | ndpoly = None, dtype: DTypeLike | None = None, allocation: int | None = None) → ndpoly

Attempt to cast an object into a polynomial array.

Supports various casting options:

dict	Keys are tuples that represent polynomial exponents, and values are numpy arrays that represents polynomial coefficients.
numpoly.ndpoly	Copy of the polynomial.
numpy.ndarray	Constant term polynomial.
sympy.Poly	Convert polynomial from sympy to numpoly, if possible.
Iterable	Multivariate array construction.
structured array	Assumes that the input are raw polynomial core and can be used to construct a polynomial without changing the data. Used for developer convenience.

Args:

poly_like:

Input to be converted to a numpoly.ndpoly polynomial type.

names:

Name of the indeterminant variables. If possible to infer from poly_like, this argument will be ignored.

dtype:

Data type used for the polynomial coefficients.

allocation:

The maximum number of polynomial exponents. If omitted, use length of exponents for allocation.

Return:

Polynomial based on input poly_like.

Example:

>>> numpoly.polynomial({(1,): 1})
polynomial(q0)
>>> q0, q1 = numpoly.variable(2)
>>> q0**2+q0*q1+2
polynomial(q0*q1+q0**2+2)
>>> -3*q0+q0**2+q1
polynomial(q0**2+q1-3*q0)
>>> numpoly.polynomial([q0*q1, q0, q1])
polynomial([q0*q1, q0, q1])
>>> numpoly.polynomial([1, 2, 3])
polynomial([1, 2, 3])
>>> import sympy
>>> q0_, q1_ = sympy.symbols("q0, q1")
>>> numpoly.polynomial(3*q0_*q1_-4+q0_**5)
polynomial(q0**5+3*q0*q1-4)