Shift

class astropy.modeling.functional_models.Shift(offset=0, **kwargs)[source] [edit on github]

Bases: astropy.modeling.Fittable1DModel

Shift a coordinate.

Parameters:

offset : float

Offset to add to a coordinate.

Attributes Summary

input_units This property is used to indicate what units or sets of units the evaluate method expects, and returns a dictionary mapping inputs to units (or None if any units are accepted).
inputs
linear
offset
outputs
param_names

Methods Summary

__call__(x[, model_set_axis, …]) Evaluate this model using the given input(s) and the parameter values that were specified when the model was instantiated.
evaluate(x, offset) One dimensional Shift model function
fit_deriv(x, *params) One dimensional Shift model derivative with respect to parameter
sum_of_implicit_terms(x) Evaluate the implicit term (x) of one dimensional Shift model

Attributes Documentation

input_units

This property is used to indicate what units or sets of units the evaluate method expects, and returns a dictionary mapping inputs to units (or None if any units are accepted).

Model sub-classes can also use function annotations in evaluate to indicate valid input units, in which case this property should not be overriden since it will return the input units based on the annotations.

inputs = ('x',)
linear = True
offset
outputs = ('x',)
param_names = ('offset',)

Methods Documentation

__call__(x, model_set_axis=None, with_bounding_box=False, fill_value=nan, equivalencies=None) [edit on github]

Evaluate this model using the given input(s) and the parameter values that were specified when the model was instantiated.

static evaluate(x, offset)[source] [edit on github]

One dimensional Shift model function

static fit_deriv(x, *params)[source] [edit on github]

One dimensional Shift model derivative with respect to parameter

static sum_of_implicit_terms(x)[source] [edit on github]

Evaluate the implicit term (x) of one dimensional Shift model