InterpAnisotropic

Class that performs anisotropic interpolation. Transforms points so x is a distance of a projected normal onto the centerline and y is the distance from (above or below) the centerline. Interpolate using inverse distance weighted interpolation after scaling the transformed x-values.

class xmsinterp.interpolate.InterpAnisotropic(**kwargs)

get_interpolation_points()

Get the interpolation points transformed into (s,n,z) space and scaled.

Returns:The transformed and scaled interpolation points (passed to SetPoints).

get_transformed_points(points, get_closest)

Transform points into (s,n,z) space and then scale.

Parameters:

• points (iterable) – The points to transform into (s,n,z) space.
• get_closest (bool) – True to pick only the closest transformed point.

Returns:

The points transformed into (s,n,z) space.

interp_to_point(point)

Interpolates to the location specified by a_pt and returns the value.

Parameters:point (tuple) – The location of the interpolation point Returns:The interpolated value

interp_to_points(points)

Interpolates to the locations specified by a_pts and returns the values.

Parameters:points (iterable) – The points to interpolate to Returns:The interpolated values

set_points(center_line_points, interpolation_points, pick_closest)

Sets points that wil be used for the centerline and interpolation.

Parameters:

• center_line_points (iterable) – Points that make the centerline
• interpolation_points (iterable) – Points that will be used to interpolate from
• pick_closest (bool) – If true, only keep one transformed interpolation point (that is closest to the centerline)

set_power(power)

Sets the exponent for the interpolation. By default the class does inverse distance squared weighting but the exponent can be changed to any value.

Parameters:power (float) – The exponent used to compute the point weights

set_x_scale(scale)

Set the X Scale.

Parameters:scale (float) – X scale