skspatial.objects.Sphere.best_fit¶
- classmethod Sphere.best_fit(points: Union[ndarray, Sequence]) 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