find_knot

sofia_redux.toolkit.splines.spline_utils.find_knot(coordinate, knots, valid_knot_start, valid_knot_end, allow_outside=True, lower_bounds=None, upper_bounds=None)

Find the knot index for a single coordinate.

Parameters:

coordinatenumpy.ndarray (float)

The coordinates of shape (n_dimensions, m).

knotsnumpy.ndarray (float)

The knots in each dimension of shape (n_dimensions, max_knot_estimate). Must be monotonically increasing for each dimension.

valid_knot_startnumpy.ndarray (int)

The start indices for the first valid knot in each dimension. For a spline of degree k, this should be k. The shape is (n_dimensions,).

valid_knot_endnumpy.ndarray (int)

The last valid knot index in each dimension of shape (n_dimensions,). for a spline of degree k, this should be n_knots - degree - 1.

allow_outsidebool, optional

If True (default), allow a fit outside the bounds of the knots.

lower_boundsnumpy.ndarray (float)

Specifies the lower range of valid coordinates for each dimension.

upper_boundsnumpy.ndarray (float)

Specifies the upper range of valid coordinates for each dimension.

Returns:

knot_indicesnumpy.ndarray (int)

The knot index for each coordinate in each dimension of shape (n_dimensions, m).