fit_point

sofia_redux.toolkit.splines.spline_utils.fit_point(coefficients, spline, spline_mapping, knot_steps, j_rot, n_spline, n_dimensions)

Evaluate fitted value given a spline and coefficients.

Parameters:

coefficientsnumpy.ndarray (float)

The coefficients of shape (n_coefficients,).

splinenumpy.ndarray (float)

The spline for the point of shape (n_dimensions, n_spline).

spline_mappingnumpy.ndarray (int)

The 1-D to N-D spline mapping array as returned by flat_index_mapping(). Should be of shape (n_dimensions, n_spline).

knot_stepsnumpy.ndarray (int)

The N-D to 1-D knot mapping steps as returned by flat_index_mapping(). Should be of shape (n_dimensions,).

j_rotint

The starting 1-D index on the coefficient array for the given spline.

n_splineint

The total number of spline coefficients that will be used to perform the fit.

n_dimensionsint

The number of dimensions in the fit.

Returns:

fitted_valuefloat