Other Dash VTK Components

Mesh

This element is a helper on top of which has a helper function that goes with it which will help you map a vtkDataSet into a single property of the element.

Note that we assume that state.field exists when we use in the snippet above. However, state.field is optional, so when it’s not available the children is not created, and would not be needed.

The element expects a single state property that is internally split into 2 elements to represent the geometry and the field that you want to optionally attach to your mesh. The structure could be defined as follows:

Volume

This element is a helper on top of which has a Python helper function that goes with it which will help you map a vtkImageData into a single property of the element.

The element expects a single state property that is internally split into 2 elements to represent the geometry and the field that you want to optionally attach to your mesh. The structure could be defined as follows:

Algorithm

This element allows you to create and configure a vtk.js class. This element expect only 2 properties:
- vtkClass: The name of the vtkClass to instantiate.
- state: The set of properties to apply on the given vtkClass.

The current list of classes available to instantiate are:

The following example uses a vtk source in vtk.js to generate a mesh

This example has not been ported to R yet - showing the Python version instead.

Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21


from dash import Dash, html
import dash_vtk

content = dash_vtk.View([
    dash_vtk.GeometryRepresentation(
        mapper={
            'colorByArrayName': 'layer',
            'scalarMode': 4,
            'interpolateScalarsBeforeMapping': False,
        },
        colorMapPreset="jet",
        colorDataRange=[0.2, 0.9],
        children=[
          dash_vtk.Algorithm(
              vtkClass="vtkConcentricCylinderSource",
              state={
                  'height': 0.25,
                  'radius': [0.2, 0.3, 0.4, 0.6, 0.7, 0.8, 0.9, 1],
                  'cellFields': [0, 0.2, 0.4, 0.6, 0.7, 0.8, 0.9, 1],
                  'mask': [1, 0, 1, 0, 1, 0, 1, 1],
                  'resolution': 60,
                  'skipInnerFaces': True,
                  'startTheta': 45,
                  'endTheta': 315,
                  'center': [0, 0, 0.5],
              },
          ),
        ]
    ),
])

# Dash setup
app = Dash()
server = app.server

app.layout = html.Div(
    style={"width": "100%", "height": "400px"},
    children=[content],
)

if __name__ == "__main__":
    app.run(debug=True)

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Reader

This element is similar to the except that it focuses on vtk.js readers by allowing you to leverage their custom API.
Like , a reader expects a vtkClass among those listed below:

Then use one of the properties below to feed the reader some data:
- url: set of url to fetch data from (on the JS side)
- parseAsText: set the text content to process
- parseAsArrayBuffer: set binary data to process from base64 string

Since the data loading is going to be asynchronous, we’ve enabled some automatic callbacks to either trigger a render or a resetCamera once the data became available. To enable these callbacks, set the following properties to your liking:
- renderOnUpdate: (default)
- resetCameraOnUpdate: (default)

This example has not been ported to R yet - showing the Python version instead.

Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21


from dash import Dash, html

import dash_vtk

# Get it here: <a href="https://github.com/plotly/dash-vtk/blob/master/demos/data/cow-nonormals.obj">https://github.com/plotly/dash-vtk/blob/master/demos/data/cow-nonormals.obj</a>
obj_file = "datasets/cow-nonormals.obj"


txt_content = None
with open(obj_file, 'r') as file:
  txt_content = file.read()

content = dash_vtk.View([
    dash_vtk.GeometryRepresentation([
        dash_vtk.Reader(
            vtkClass="vtkOBJReader",
            parseAsText=txt_content,
        ),
    ]),
])

# Dash setup
app = Dash()
server = app.server

app.layout = html.Div(
    style={"width": "100%", "height": "400px"},
    children=[content],
)

if __name__ == "__main__":
    app.run(debug=True)

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ShareDataSet

This element does not affect the dataset, but it allows the JavaScript side to reuse an existing vtkDataSet for another Representation or filter.

The only property expected in a is a name to properly reference it elsewhere. A name is provided dy default, so in the case of only one dataset, you would not need to specify this property.

The following example shows how to create a view with one and four representations of it.

This example has not been ported to R yet - showing the Python version instead.

Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21

View full code

 
from dash import Dash, html

import dash_vtk
from dash_vtk.utils import to_volume_state

try:
    # VTK 9+
    from vtkmodules.vtkImagingCore import vtkRTAnalyticSource
except ImportError:
    # Old VTK
    from vtk.vtkImagingCore import vtkRTAnalyticSource

# Use VTK to get some data
data_source = vtkRTAnalyticSource()
data_source.Update()  # <= Execute source to produce an output
dataset = data_source.GetOutput()

# Use helper to get a volume structure that can be passed as-is to a Volume
volume_state = to_volume_state(dataset)  # No need to select field

content = dash_vtk.View([
    dash_vtk.VolumeRepresentation([
        # GUI to control Volume Rendering
        # + Setup good default at startup
        dash_vtk.VolumeController(),
        # Actual volume
        dash_vtk.ShareDataSet([
            dash_vtk.Volume(state=volume_state),
        ]),
    ]),
    dash_vtk.SliceRepresentation(
        iSlice=10,
        children=[
            dash_vtk.ShareDataSet(),
        ]
    ),
    dash_vtk.SliceRepresentation(
        jSlice=10,
        children=[
            dash_vtk.ShareDataSet(),
        ]
    ),
    dash_vtk.SliceRepresentation(
        kSlice=10,
        children=[
            dash_vtk.ShareDataSet(),
        ]
    ),
])

# Dash setup
app = Dash()
server = app.server

app.layout = html.Div(
    style={"width": "100%", "height": "400px"},
    children=[content],
)

if __name__ == "__main__":
    app.run(debug=True)

t06