LabelMapperDict

class gwcs.selector.LabelMapperDict(inputs, mapper, inputs_mapping=None, atol=1e-08, name=None, **kwargs)

Bases: _LabelMapper

Maps a number to a transform, which when evaluated returns a label.

Use case: inverse transforms of an IFU. For an IFU observation, the keys are constant angles (corresponding to a slice) and values are transforms which return a slice number.

Parameters:

inputstuple of str

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

mapperdict

Maps key values 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. It returns a number which is one of the keys of mapper.

atolfloat

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

namestr

The name of this transform.

Attributes Summary

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

Methods Summary

evaluate(*args)

Evaluate the model on some input variables.

Attributes Documentation

atol

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)

Evaluate the model on some input variables.