Visualizer Widgets

Visualizer widgets allow you to interactively explore a session as you would in a Vapor GUI visualizer. This notebook shows how to use visualizer widgets and how to add additional dynamic parameter inputs.

Note: Widgets require an active kernel to operate. To try it out, run this notebook on your local machine.

import example_utils
from vapor import session, renderer, dataset, camera

ses = session.Session()
data = example_utils.OpenExampleDataset(ses)

Warning: sysroot "/Applications/Xcode_12.4.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk" not found (ignoring for now).

Vapor 3.9.3
Python 3.9.19 (/opt/anaconda3/envs/vapor)
OpenGL 4.1 Metal - 83.1

Render an Iso Surface

ren = data.NewRenderer(renderer.VolumeIsoRenderer)
ren.SetVariableName(data.GetDataVarNames(3)[0]) # Set to first 2D data variable
ren.SetIsoValues([ren.GetIsoValues()[0]+0.1])

ses.GetCamera().ViewAll()
ses.Show()

UNSUPPORTED (log once): POSSIBLE ISSUE: unit 2 GLD_TEXTURE_INDEX_3D is unloadable and bound to sampler type (Float) - using zero texture because texture unloadable
../_images/3c7b9bc30ae8387aa697223d38962779d5999b0be310fd016fd47e027e0d1fcc.png

Create a visualizer to explore the scene

Try dragging the image to rotate the view. Hover over the visualizer to see the full controls.

from jupyter_vapor_widget import *

viz = VaporVisualizerWidget(ses)
viz

Add an interactive iso value slider using ipywidgets

tf = ren.GetPrimaryTransferFunction()
dataRange = tf.GetMinMaxMapValue()

def sliderChanged(change):
    ren.SetIsoValues([change.new])
    viz.Render(fast=True)

slider = widgets.FloatSlider(value=ren.GetIsoValues()[0], min=dataRange[0], max=dataRange[1], step=(dataRange[1]-dataRange[0])/100)
slider.observe(sliderChanged, names='value')

widgets.VBox([
    viz,
    widgets.HBox([widgets.Label("Iso value:"), slider])
])
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