skspatial.objects.Sphere.best_fit

classmethod Sphere.best_fit(points: Union[numpy.ndarray, Sequence]) skspatial.objects.sphere.Sphere[source]

Return the sphere of best fit for a set of 3D points.

Parameters
pointsarray_like

Input 3D points.

Returns
Sphere

The sphere of best fit.

Raises
ValueError

If the points are not 3D. If there are fewer than four points. If the points lie in a plane.

Examples

>>> import numpy as np
>>> from skspatial.objects import Sphere
>>> points = [[1, 0, 1], [0, 1, 1], [1, 2, 1], [1, 1, 2]]
>>> sphere = Sphere.best_fit(points)
>>> sphere.point
Point([1., 1., 1.])
>>> np.round(sphere.radius, 2)
1.0