Note
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Create VTK Objects#
This exercise walks through the creation of a few different types of VTK datasets.
import numpy as np
import pyvista as pv
import vtk
try:
from vtkmodules.util.numpy_support import numpy_to_vtk
except: # noqa: E722
from vtk.util.numpy_support import numpy_to_vtk
Create vtkImageData
#
image = vtk.vtkImageData()
image.SetDimensions(10, 10, 2)
image.SetSpacing(1, 2, 5)
image.SetOrigin(-0.5, -3, 0)
Add point data
<vtkmodules.vtkCommonDataModel.vtkImageData(0x564f999aa5e0) at 0x7f25d44996c0>
Plot with PyVista for simplicity
pv.plot(image, show_edges=True)
Create vtkStructuredGrid
#
# Define structured points with NumPy
x = np.arange(-10, 10, 0.25)
y = np.arange(-10, 10, 0.25)
x, y = np.meshgrid(x, y)
r = np.sqrt(x**2 + y**2)
z = np.sin(r)
# Join the points
values = np.c_[x.ravel(), y.ravel(), z.ravel()]
coords = numpy_to_vtk(values)
points = vtk.vtkPoints()
points.SetData(coords)
grid = vtk.vtkStructuredGrid()
grid.SetDimensions(*z.shape, 1)
grid.SetPoints(points)
grid
<vtkmodules.vtkCommonDataModel.vtkStructuredGrid(0x564f9700cca0) at 0x7f25c04521a0>
Add point data
arr = numpy_to_vtk(z.ravel())
arr.SetName("z") # CRITICAL
grid.GetPointData().SetScalars(arr)
0
Plot with PyVista for simplicity
pv.plot(grid, show_edges=True)
Total running time of the script: (0 minutes 0.546 seconds)