edges_cal.modelling.Fourier

class edges_cal.modelling.Fourier(*, parameters=None, n_terms=_Nothing.NOTHING, transform: ModelTransform = IdentityTransform(), period=6.283185307179586)[source]

A Fourier-basis model.

Methods

`__init__`(*[, parameters, n_terms, ...])	Method generated by attrs for class Fourier.
`at`(**kwargs)	Get an evaluated linear model.
`fit`(xdata, ydata[, weights])	Create a linear-regression fit object.
`from_str`(model, **kwargs)	Obtain a `Model` given a string name.
`get_basis_term`(indx, x)	Define the basis functions of the model.
`get_basis_term_transformed`(indx, x)	Get the basis term after coordinate transformation.
`get_basis_terms`(x)	Get a 2D array of all basis terms at `x`.
`with_nterms`([n_terms, parameters])	Return a new `Model` with given nterms and parameters.
`with_params`(parameters)	Get new model with different parameters.

Attributes

`default_n_terms`
`n_terms_max`
`n_terms_min`
`period`
`parameters`
`n_terms`
`transform`