Multiple vispy visualisations in one notebook #99
Description
Hi folks,
I was trying to get multiple visualizations in the same notebook, for example as one would do with matplotlib where one has multiple plots.
Is this expected to work? In the simple examples that I have here, it seems like creating a new vispy canvas/visualization affects the previous one too.
I've taken one of the vispy examples and just split it into two different visualizations:
from vispy import scene
from vispy.geometry.torusknot import TorusKnot
import numpy as npcanvas = scene.SceneCanvas(keys='interactive')
view = canvas.central_widget.add_view()
points1 = TorusKnot(5, 3).first_component[:-1]
points1[:, 0] -= 20.
points1[:, 2] -= 15.
points2 = points1.copy()
points2[:, 2] += 30.
l1 = scene.visuals.Tube(points1,
shading='flat',
color='red',
tube_points=8)
l2 = scene.visuals.Tube(points2,
color=['red', 'green', 'blue'],
shading='smooth',
tube_points=8)
view.add(l1)
view.add(l2)
view.camera = scene.TurntableCamera()
# tube does not expose its limits yet
view.camera.set_range((-20, 20), (-20, 20), (-20, 20))
canvasand
newcanvas = scene.SceneCanvas(keys='interactive')
newview = newcanvas.central_widget.add_view()
points3 = points1.copy()
points3[:, 0] += 41.
points3[:, 2] += 30
points4 = points1.copy()
points4[:, 0] += 41.
points5 = points1.copy()
points5[:, 0] += 20.4
points5[:, 2] += 15
l3 = scene.visuals.Tube(points3,
color='green',
shading='flat',
tube_points=8,
closed=True)
l4 = scene.visuals.Tube(points4,
color='blue',
shading='smooth',
tube_points=8,
mode='lines')
# generate sine wave radii
radii = np.sin(2 * np.pi * 440 * np.arange(points5.shape[0]) / 44000)
radii = (radii + 1.5) / 2
l5 = scene.visuals.Tube(points5,
radius=radii,
color='white',
shading='smooth',
closed=True,
tube_points=8)
newview.add(l3)
newview.add(l4)
newview.add(l5)
newview.camera = scene.TurntableCamera()
# tube does not expose its limits yet
newview.camera.set_range((-20, 20), (-20, 20), (-20, 20))
newcanvasUntil i run the third cell, the second cell works fine.
Once I run the third cell, the second cell is also modified. Video attached:
Screencast.from.2024-08-09.10-01-36.mp4
I tried it with vispy outside of a jupyter notebook, and it does work. I get two windows with the expected outputs and they're independent of each other. Here's that script:
#!/usr/bin/env python3
from vispy import scene
from vispy.geometry.torusknot import TorusKnot
import numpy as np
canvas = scene.SceneCanvas(keys='interactive')
view = canvas.central_widget.add_view()
points1 = TorusKnot(5, 3).first_component[:-1]
points1[:, 0] -= 20.
points1[:, 2] -= 15.
points2 = points1.copy()
points2[:, 2] += 30.
l1 = scene.visuals.Tube(points1,
shading='flat',
color='red',
tube_points=8)
l2 = scene.visuals.Tube(points2,
color=['red', 'green', 'blue'],
shading='smooth',
tube_points=8)
view.add(l1)
view.add(l2)
view.camera = scene.TurntableCamera()
# tube does not expose its limits yet
view.camera.set_range((-20, 20), (-20, 20), (-20, 20))
canvas.show()
newcanvas = scene.SceneCanvas(keys='interactive')
newview = newcanvas.central_widget.add_view()
points3 = points1.copy()
points3[:, 0] += 41.
points3[:, 2] += 30
points4 = points1.copy()
points4[:, 0] += 41.
points5 = points1.copy()
points5[:, 0] += 20.4
points5[:, 2] += 15
l3 = scene.visuals.Tube(points3,
color='green',
shading='flat',
tube_points=8,
closed=True)
l4 = scene.visuals.Tube(points4,
color='blue',
shading='smooth',
tube_points=8,
mode='lines')
# generate sine wave radii
radii = np.sin(2 * np.pi * 440 * np.arange(points5.shape[0]) / 44000)
radii = (radii + 1.5) / 2
l5 = scene.visuals.Tube(points5,
radius=radii,
color='white',
shading='smooth',
closed=True,
tube_points=8)
newview.add(l3)
newview.add(l4)
newview.add(l5)
newview.camera = scene.TurntableCamera()
# tube does not expose its limits yet
newview.camera.set_range((-20, 20), (-20, 20), (-20, 20))
newcanvas.show()
canvas.app.run()
It's the same as the notebook, but uses canvas.show() and then has the app.run() call at the end.