企业官网建设流程全解析

一：主要的知识点

1、说明

本文只是教程内容的一小段，因博客字数限制，故进行拆分。主教程链接：vtk教程——逐行解析官网所有Python示例-CSDN博客

2、知识点纪要

本段代码主要涉及的有①三维体素数据的填充

二：代码及注释

import vtkmodules.vtkRenderingOpenGL2 from vtkmodules.vtkCommonColor import vtkNamedColors from vtkmodules.vtkCommonCore import vtkMinimalStandardRandomSequence, vtkShortArray from vtkmodules.vtkCommonDataModel import vtkStructuredPoints from vtkmodules.vtkFiltersCore import vtkContourFilter from vtkmodules.vtkRenderingCore import ( vtkActor, vtkPolyDataMapper, vtkRenderWindow, vtkRenderWindowInteractor, vtkRenderer ) def main(): colors = vtkNamedColors() Pr = 10.0 # The Lorenz parameters b = 2.667 r = 28.0 h = 0.01 # integration step size resolution = 200 # slice resolution iterations = 10000000 # number of iterations xmin = -30.0 # x, y, z range for voxels xmax = 30.0 ymin = -30.0 ymax = 30.0 zmin = -10.0 zmax = 60.0 # Take a stab at an integration step size. xIncr = resolution / (xmax - xmin) yIncr = resolution / (ymax - ymin) zIncr = resolution / (zmax - zmin) randomSequence = vtkMinimalStandardRandomSequence() randomSequence.SetSeed(8775070) x = randomSequence.GetRangeValue(xmin, xmax) randomSequence.Next() y = randomSequence.GetRangeValue(ymin, ymax) randomSequence.Next() z = randomSequence.GetRangeValue(zmin, zmax) randomSequence.Next() # allocate memory for the slices sliceSize = resolution * resolution numPts = sliceSize * resolution scalars = vtkShortArray() for i in range(0, numPts): scalars.InsertTuple1(i, 0) for j in range(0, iterations): # Integrate to the next time step. xx = x + h * Pr * (y - x) yy = y + h * (x * (r - z) - y) zz = z + h * (x * y - (b * z)) x = xx y = yy z = zz # Calculate the voxel index. if xmax > x > xmin and ymax > y > ymin and zmax > z > zmin: xxx = int(float(xx - xmin) * xIncr) yyy = int(float(yy - ymin) * yIncr) zzz = int(float(zz - zmin) * zIncr) index = xxx + yyy * resolution + zzz * sliceSize scalars.SetTuple1(index, scalars.GetTuple1(index) + 1) """ 使用**vtkStructuredPoints类来创建一个三维体数据（volume data）对象， 并用之前模拟洛伦兹吸引子轨迹得到的标量数据**填充它 """ volume = vtkStructuredPoints() volume.GetPointData().SetScalars(scalars) volume.SetDimensions(resolution, resolution, resolution) volume.SetOrigin(xmin, ymin, zmin) volume.SetSpacing((xmax - xmin) / resolution, (ymax - ymin) / resolution, (zmax - zmin) / resolution) # Create iso-surface contour = vtkContourFilter() contour.SetInputData(volume) contour.SetValue(0, 50) # Create mapper. mapper = vtkPolyDataMapper() mapper.SetInputConnection(contour.GetOutputPort()) mapper.ScalarVisibilityOff() # Create actor. actor = vtkActor() actor.SetMapper(mapper) actor.GetProperty().SetColor(colors.GetColor3d('DodgerBlue')) renderer = vtkRenderer() renWin = vtkRenderWindow() renWin.AddRenderer(renderer) iren = vtkRenderWindowInteractor() iren.SetRenderWindow(renWin) renderer.AddActor(actor) renderer.SetBackground(colors.GetColor3d('PaleGoldenrod')) renWin.SetSize(640, 480) # interact with data renWin.Render() renWin.SetWindowName('Lorenz') camera = renderer.GetActiveCamera() camera.SetPosition(-67.645167, -25.714343, 63.483516) camera.SetFocalPoint(3.224902, -4.398594, 29.552112) camera.SetViewUp(-0.232264, 0.965078, 0.121151) camera.SetDistance(81.414176) camera.SetClippingRange(18.428905, 160.896031) iren.Start() if __name__ == '__main__': main()