Scale¶

class
astropy.modeling.functional_models.
Scale
(factor=1, **kwargs)[source] [edit on github]¶ Bases:
astropy.modeling.Fittable1DModel
Multiply a model by a dimensionless factor.
Parameters:  factor : float
Factor by which to scale a coordinate.
Notes
If
factor
is aQuantity
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 subclasses 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¶

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