Polynomial1D

class astropy.modeling.polynomial.Polynomial1D(degree, domain=[-1, 1], window=[-1, 1], param_dim=1, **params)

Bases: astropy.modeling.polynomial.PolynomialModel

1D Polynomial model.

Parameters:

degree : int

degree of the series

domain : list or None

window : list or None

If None, it is set to [-1,1] Fitters will remap the domain to this window

param_dim : int

number of parameter sets

**params : dict

keyword: value pairs, representing parameter_name: value

fixed: a dict :

a dictionary {parameter_name: boolean} of parameters to not be varied during fitting. True means the parameter is held fixed. Alternatively the fixed property of a parameter may be used.

tied: dict :

a dictionary {parameter_name: callable} of parameters which are linked to some other parameter. The dictionary values are callables providing the linking relationship. Alternatively the tied property of a parameter may be used.

bounds: dict :

a dictionary {parameter_name: boolean} of lower and upper bounds of parameters. Keys are parameter names. Values are a list of length 2 giving the desired range for the parameter. Alternatively the min and max properties of a parameter may be used.

eqcons: list :

A list of functions of length n such that eqcons[j](x0,*args) == 0.0 in a successfully optimized problem.

ineqcons : list

A list of functions of length n such that ieqcons[j](x0,*args) >= 0.0 is a successfully optimized problem.

Methods Summary

deriv(x, *params)	Computes the Vandermonde matrix.
horner(x, coef)

Methods Documentation

deriv(x, *params)

Computes the Vandermonde matrix.

Parameters:

x : ndarray

input

params : throw away parameter

parameter list returned by non-linear fitters

Returns:

result : ndarray

The Vandermonde matrix

horner(x, coef)