pyvista.fit_plane_to_points

fit_plane_to_points(points, return_meta=False)

Fit a plane to a set of points using the SVD algorithm.

The plane is automatically sized and oriented to fit the extents of the points.

Parameters:

pointsarray_like[float]

Size [N x 3] sequence of points to fit a plane through.

return_metabool, default: False

If True, also returns the center and normal of the generated plane.

Returns:

pyvista.PolyData

Plane mesh.

numpy.ndarray

Plane center if return_meta=True.

numpy.ndarray

Plane normal if return_meta=True.

Examples

Fit a plane to a random point cloud.

>>> import pyvista as pv
>>> import numpy as np
>>>
>>> # Create point cloud
>>> cloud = np.random.random((10, 3))
>>> cloud[:, 2] *= 0.1
>>>
>>> # Fit plane
>>> plane, center, normal = pv.fit_plane_to_points(
...     cloud, return_meta=True
... )
>>>
>>> # Plot the fitted plane
>>> pl = pv.Plotter()
>>> _ = pl.add_mesh(
...     plane, color='lightblue', style='wireframe', line_width=4
... )
>>> _ = pl.add_points(
...     cloud,
...     render_points_as_spheres=True,
...     color='r',
...     point_size=30,
... )
>>> pl.show()

Static Scene

Interactive Scene

Fit a plane to a mesh.

>>> import pyvista as pv
>>> from pyvista import examples
>>>
>>> # Create mesh
>>> mesh = examples.download_shark()
>>>
>>> # Fit plane
>>> plane = pv.fit_plane_to_points(mesh.points)
>>>
>>> # Plot the fitted plane
>>> pl = pv.Plotter()
>>> _ = pl.add_mesh(
...     plane, show_edges=True, color='lightblue', opacity=0.25
... )
>>> _ = pl.add_mesh(mesh, color='gray')
>>> pl.camera_position = [
...     (-117, 76, 235),
...     (1.69, -1.38, 0),
...     (0.189, 0.957, -0.22),
... ]
>>> pl.show()

Static Scene

Interactive Scene