当过度绘制时，mayavi错位了流线和图像平面

Question

我有3D标量和矢量数据，我将其与流线（mlab.pipeline.streamline）和图像平面（mlab.pipeline.image_plane_widget）一起绘制。这通常是有效的，但是偶尔（即在一些数据集上）两种类型的图形变得不对齐 - 即使数据形状都完全相同。

好榜样：

错误示例：

这始终是范例：流线的边界框沿着单轴延伸......没有任何设置在变化！

例如，我有一个标量字段scal，其尺寸与向量字段vect相同：

mlab.options.offscreen = True

# Initialized figure                                                                                                                                                             
fig   = mlab.figure(size=[1000,1000])                                                            
extent     = [0,1,0,1,0,1]

shape = np.shape(scal)
x,y,z      = np.mgrid[ 0:1.0:1j*shape[0] , 0:1.0:1j*shape[1] , 0:1.0:1j*shape[2] ]

# Draw vector field                                                                                                                                                              
u,v,w      = vect[...,0], vect[...,1], vect[...,2]
vect_field = mlab.pipeline.vector_field(x,y,z, u,v,w)

streams = mlab.pipeline.streamline(vect_field, figure=fig, extent=extent, reset_zoom=False, \
                                     seedtype='plane', seed_scale=2.0, colormap='Greens')

streams.stream_tracer.integration_direction = 'both'
mlab.outline()
seed = streams.seed.widget
seed.set( normal=[0.0,0.0,1.0] )
seed.set( center=[0.5,0.5,0.5] )                                          
seed.set( resolution=SEED_RESOLUTION )
seed.enabled = False                            

# Draw scalar field
scal       = np.log10(scal)                                                                 
scal_field = mlab.pipeline.scalar_field(x,y,z, scal)                                        
midz       = np.int(np.floor(shape[2]*0.5))                                                 
plane1 = mlab.pipeline.image_plane_widget(scal_field, figure=fig, plane_orientation='z_axes', \
                                         slice_index=midz, opacity=0.1, transparent=True, \
                                         extent=extent, reset_zoom=False )
plane2 = mlab.pipeline.image_plane_widget(scal_field, figure=fig, plane_orientation='x_axes', \
                                         slice_index=0, opacity=0.1, \
                                         extent=extent, reset_zoom=False )


mlab.text3d(0.5,0.5,1.07, 'Time = %04.0f' % time, scale=0.05, figure=fig)
mlab.colorbar()
mlab.view(35, 75, 3.0, focalpoint=[0.5,0.5,0.4])

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可以在此处找到用于重现问题的数据代码：
https://drive.google.com/folderview?id=0B4FXIXq2e3y4UGMyREFaWnV2Mjg&usp=sharing

Answer 1

问题在于image_plane_widget根本不接受'范围'参数。从image_plane_widget和streamline中删除“范围”参数会使对象匹配。