SerialCompositeModel

class astropy.modeling.SerialCompositeModel

Bases: astropy.modeling._compound_deprecated._CompositeModel

Deprecated since version 1.0: The SerialCompositeModel class is deprecated and may be removed in a future version. Use Compound Models as described in the Astropy documentation instead.

Composite model that evaluates models in series.

Parameters:

transforms : list

a list of transforms in the order to be executed

inmap : list of lists or None

labels in an input instance of LabeledInput if None, the number of input coordinates is exactly what the transforms expect

outmap : list or None

labels in an input instance of LabeledInput if None, the number of output coordinates is exactly what the transforms expect

n_inputs : int

dimension of input space (e.g. 2 for a spatial model)

n_outputs : int

dimension of output

Notes

Output values of one model are used as input values of another. Obviously the order of the models matters.

Examples

Apply a 2D rotation followed by a shift in x and y:

>>> import numpy as np
>>> from astropy.modeling import models, LabeledInput, SerialCompositeModel
>>> y, x = np.mgrid[:5, :5]
>>> rotation = models.Rotation2D(angle=23.5)
>>> offset_x = models.Shift(-4.23)
>>> offset_y = models.Shift(2)
>>> labeled_input = LabeledInput([x, y], ["x", "y"])
>>> transform = SerialCompositeModel([rotation, offset_x, offset_y],
...                                  inmap=[['x', 'y'], ['x'], ['y']],
...                                  outmap=[['x', 'y'], ['x'], ['y']])
>>> result = transform(labeled_input)

Deprecated since version 1.0: The SerialCompositeModel class is deprecated and may be removed in a future version. Use Compound Models as described in the Astropy documentation instead.

x.__init__(...) initializes x; see help(type(x)) for signature

Attributes Summary

inverse

Attributes Documentation

inverse