# Scale¶

class astropy.modeling.functional_models.Scale(factor=1, **kwargs)[source] [edit on github]

Multiply a model by a dimensionless factor.

Parameters: factor : float Factor by which to scale a coordinate.

Notes

If factor is a Quantity then the units will be stripped before the scaling operation.

Attributes Summary

 factor fittable 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 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, factor) One dimensional Scale model function fit_deriv(x, *params) One dimensional Scale model derivative with respect to parameter

Attributes Documentation

factor
fittable = True
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 overridden since it will return the input units based on the annotations.

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

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, factor)[source] [edit on github]

One dimensional Scale model function

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

One dimensional Scale model derivative with respect to parameter