Sphere Widget

The sphere widget can be enabled and disabled by the pyvista.Plotter.add_sphere_widget() and pyvista.Plotter.clear_sphere_widgets() methods respectively. This is a very versatile widget as it can control vertex location that can be used to control or update the location of just about anything.

We don’t have any convenient helper methods that utilize this widget out of the box, but we have added a lot of ways to use this widget so that you can easily add several widgets to a scene.

Let’s look at a few use cases that all update a surface mesh.

Example A

Use a single sphere widget

import numpy as np

import pyvista as pv

# Create a triangle surface
surf = pv.PolyData()
surf.points = np.array(
    [
        [-10, -10, -10],
        [10, 10, -10],
        [-10, 10, 0],
    ],
)
surf.faces = np.array([3, 0, 1, 2])

p = pv.Plotter()


def callback(point):
    surf.points[0] = point


p.add_sphere_widget(callback)
p.add_mesh(surf, color=True)

p.show_grid()
p.show()

And here is a screen capture of a user interacting with this

Example B

Use several sphere widgets at once

import numpy as np

import pyvista as pv

# Create a triangle surface
surf = pv.PolyData()
surf.points = np.array(
    [
        [-10, -10, -10],
        [10, 10, -10],
        [-10, 10, 0],
    ],
)
surf.faces = np.array([3, 0, 1, 2])


p = pv.Plotter()


def callback(point, i):
    surf.points[i] = point


p.add_sphere_widget(callback, center=surf.points)
p.add_mesh(surf, color=True)

p.show_grid()
p.show()

And here is a screen capture of a user interacting with this

Example C

This one is the coolest - use four sphere widgets to update perturbations on a surface and interpolate between them with some boundary conditions

import numpy as np
from scipy.interpolate import griddata

import pyvista as pv


def get_colors(n):
    """Get n colors."""
    from itertools import cycle

    import matplotlib as mpl

    cycler = mpl.rcParams['axes.prop_cycle']
    colors = cycle(cycler)
    return [next(colors)['color'] for i in range(n)]


# Create a grid to interpolate to
xmin, xmax, ymin, ymax = 0, 100, 0, 100
x = np.linspace(xmin, xmax, num=25)
y = np.linspace(ymin, ymax, num=25)
xx, yy, zz = np.meshgrid(x, y, [0])

# Make sure boundary conditions exist
boundaries = np.array([[xmin, ymin, 0], [xmin, ymax, 0], [xmax, ymin, 0], [xmax, ymax, 0]])

# Create the PyVista mesh to hold this grid
surf = pv.StructuredGrid(xx, yy, zz)

# Create some initial perturbations
# - this array will be updated inplace
points = np.array([[33, 25, 45], [70, 80, 13], [51, 57, 10], [25, 69, 20]])


# Create an interpolation function to update that surface mesh
def update_surface(point, i):
    points[i] = point
    tp = np.vstack((points, boundaries))
    zz = griddata(tp[:, 0:2], tp[:, 2], (xx[:, :, 0], yy[:, :, 0]), method='cubic')
    surf.points[:, -1] = zz.ravel(order='F')


# Get a list of unique colors for each widget
colors = get_colors(len(points))

# Begin the plotting routine
p = pv.Plotter()

# Add the surface to the scene
p.add_mesh(surf, color=True)

# Add the widgets which will update the surface
p.add_sphere_widget(update_surface, center=points, color=colors, radius=3)
# Add axes grid
p.show_grid()

# Show it
p.show()

And here is a screen capture of a user interacting with this

%% .. tags:: widgets