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我想使用 python 可视化一个 VTK 数据文件（OpenFOAM 输出）。我想要制作的图是两个端点之间数量的一维线图。为此，应在位于两个端点之间的点上对非结构化数据进行插值。

我使用 Mayavi 包来可视化 VTK 数据。在mayavi 网页上有关于从标量域探测单个值的描述。此功能不适用于 VTK 文件。

我还在mayavi 网页上找到了一个 delaunay3d 方法（mlab.pipeline.delaunay3d） 。我也没有让这个工作。

谁能告诉我如何插入我的数据？

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1 回答 1

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最终，我找到了自己问题的答案。以防万一有人访问此主题并遇到相同的问题，我将发布我的解决方案。我使用了 vtkProbeFilter 来插入我的 VTK 数据。插值后，为了方便绘图，我将 VTK 线转换为 numpy 数组。

#!/usr/bin/env python
import numpy as np
from vtk.util import numpy_support as VN
from matplotlib import pyplot as plt
import vtk

def readVTK(filename):
    #read the vtk file with an unstructured grid
    reader = vtk.vtkUnstructuredGridReader()
    reader.SetFileName(filename)
    reader.ReadAllVectorsOn()
    reader.ReadAllScalarsOn()
    reader.Update()
    return reader

def createLine(p1,p2,numPoints):
    # Create the line along which you want to sample
    line = vtk.vtkLineSource()
    line.SetResolution(numPoints)
    line.SetPoint1(p1)
    line.SetPoint2(p2)
    line.Update()
    return line

def probeOverLine(line,reader):
    #Interpolate the data from the VTK-file on the created line.
    data = reader.GetOutput()
    # vtkProbeFilter, the probe line is the input, and the underlying dataset is the source.
    probe = vtk.vtkProbeFilter()
    probe.SetInputConnection(line.GetOutputPort())
    probe.SetSource(data)
    probe.Update()
    #get the data from the VTK-object (probe) to an numpy array
    q=VN.vtk_to_numpy(probe.GetOutput().GetPointData().GetArray('U'))
    numPoints = probe.GetOutput().GetNumberOfPoints() # get the number of points on the line
    #intialise the points on the line    
    x = np.zeros(numPoints)
    y = np.zeros(numPoints)
    z = np.zeros(numPoints)
    points = np.zeros((numPoints , 3))
    #get the coordinates of the points on the line
    for i in range(numPoints):
        x[i],y[i],z[i] = probe.GetOutput().GetPoint(i)
        points[i,0]=x[i]
        points[i,1]=y[i]
        points[i,2]=z[i]
    return points,q

def setZeroToNaN(array):
    # In case zero-values in the data, these are set to NaN.
    array[array==0]=np.nan
    return array

#Define the filename of VTK file
filename='a-VTK-file.vtk'

#Set the points between which the line is constructed.
p1=[0.0,-0.1,0.0]
p2=[0.0,-0.1,1.0]

#Define the numer of interpolation points
numPoints=100

reader = readVTK(filename) # read the VTKfile
line=createLine(p1,p2,numPoints) # Create the line
points,U =  probeOverLine(line,reader) # interpolate the data over the line

U = setZeroToNaN(U) # Set the zero's to NaN's
plt.plot(points[:,2],U[:,0]) #plot the data
plt.show()
于 2014-02-24T14:15:23.883 回答