# LabelMapperRange¶

class gwcs.selector.LabelMapperRange(inputs, mapper, inputs_mapping=None, name=None, **kwargs)[source]

Bases: gwcs.selector._LabelMapper

The structure this class uses maps a range of values to a transform. Given an input value it finds the range the value falls in and returns the corresponding transform. When evaluated the transform returns a label.

Example: Pick a transform based on wavelength range. For an IFU observation, the keys are (lambda_min, lambda_max) tuples and values are transforms which return a label corresponding to a slice.

Parameters
inputstuple of str

Names for the inputs, e.g. (‘alpha’, ‘beta’, ‘lambda’)

mapperdict

Maps tuples of length 2 to transforms.

inputs_mappingMapping

An optional Mapping model to be prepended to the LabelMapper with the purpose to filter the inputs or change their order.

atolfloat

Absolute tolerance when comparing inputs to mapper.keys. It is passed to np.isclose.

namestr

The name of this transform.

Attributes Summary

 fittable inputs The name(s) of the input variable(s) on which a model is evaluated. linear n_inputs n_outputs standard_broadcasting

Methods Summary

 evaluate(*args) Evaluate the model on some input variables.

Attributes Documentation

fittable = False
inputs

The name(s) of the input variable(s) on which a model is evaluated.

linear = False
n_inputs
n_outputs = 1
standard_broadcasting = False

Methods Documentation

evaluate(*args)[source]

Evaluate the model on some input variables.