我正在尝试从tvtk.PolyData
实例中提取顶点数据。例如:
from numpy import array
from tvtk.api import tvtk
from mayavi.sources.vtk_data_source import VTKDataSource
from mayavi.modules.surface import Surface
from mayavi import mlab
pointArr=array([[0,0,0],[1,0,0],[1,1,0],[0,1,0],[0,1,1],[1,1,1]],dtype="float64")
faceArr=array([[0,1,2,3],[2,3,4,5]])
faces = tvtk.PolyData()
faces.points=pointArr
print faces.points
faces.polys=faceArr
faces.point_data.scalars = pointArr[:,2]
faces.point_data.scalars.name = 'Height'
src = VTKDataSource(data = faces)
mlab.pipeline.surface(src, opacity=1.)
mlab.show()
打印
vtkPoints (0x9811398)
Debug: Off
Modified Time: 838816
Reference Count: 2
Registered Events:
Registered Observers:
vtkObserver (0x98112b8)
Event: 33
EventName: ModifiedEvent
Command: 0x9811688
Priority: 0
Tag: 1
Data: 0x9811480
Data Array Name: Points
Number Of Points: 6
Bounds:
Xmin,Xmax: (0, 1)
Ymin,Ymax: (0, 1)
Zmin,Zmax: (0, 1)
这里发生了什么?我期待看到NumPy数组:
[[ 0. 0. 0.]
[ 1. 0. 0.]
[ 1. 1. 0.]
[ 0. 1. 0.]
[ 0. 1. 1.]
[ 1. 1. 1.]]
答案 0 :(得分:3)
tvtk的重点是处理python对象(包括numpy数组)和VTK对象持有类之间的转换。如果您调查faces.points,您会看到它实际上是一个名为Points的tvtk类实例,但您可以使用
轻松恢复numpy表示np.array( faces.points )
不同的视图不应该复制内存,所以这一切都非常有效。
编辑:自然tvtk还提供基于事件的API和图形编辑元素