Linear1D

class astropy.modeling.functional_models.Linear1D(slope, intercept, **constraints)

Bases: astropy.modeling.core.Parametric1DModel

One dimensional Line model.

Parameters:

slope : float

Slope of the straight line

intercept : float

Intercept of the straight line

See also

Const1D

Notes

Model formula:

f(x) = a x + b

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.

Attributes Summary

intercept
linear	bool(x) -> bool
param_names	list() -> new empty list
slope

Methods Summary

deriv(x, slope, intercept)	One dimensional Line model derivative
eval(x, slope, intercept)	One dimensional Line model function

Attributes Documentation

intercept

linear = True

param_names = ['slope', 'intercept']

slope

Methods Documentation

static deriv(x, slope, intercept)

One dimensional Line model derivative

static eval(x, slope, intercept)

One dimensional Line model function