InverseSIP

class astropy.modeling.polynomial.InverseSIP(ap_order, bp_order, ap_coeff={}, bp_coeff={}, n_models=None, model_set_axis=None, name=None, meta=None)[source] [edit on github]

Bases: astropy.modeling.Model

Inverse Simple Imaging Polynomial

Parameters:
ap_order : int

order for the inverse transformation (AP coefficients)

bp_order : int

order for the inverse transformation (BP coefficients)

ap_coeff : dict

coefficients for the inverse transform

bp_coeff : dict

coefficients for the inverse transform

Attributes Summary

inputs
outputs

Methods Summary

__call__(x, y[, 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, y) Evaluate the model on some input variables.

Attributes Documentation

inputs = ('x', 'y')
outputs = ('u', 'v')

Methods Documentation

__call__(x, y, 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.

evaluate(x, y)[source] [edit on github]

Evaluate the model on some input variables.