> Do you have a small example demonstrating this bug (disable_render not
> working). It would help us find the problem.
Here goes. Not so small, but the smallest I could whip up in a short while.
Now, I also found out who is to blame: the DepthSortPolyData on line 42. If I
use con3 directly as input to surface, the errors disappear.
This is rather sad, since I need that filter to enable correct rendering of
semi-opaque surfaces (thanks for bringing that to my knowledge, Gaël, btw).
> The publisher is doing the page layout right now. The volume will be
> March/Apri 2011 (vol. 13 issue. 2). It's a special edition on Python in
> Science. Should be interesting, hopefully.
Thanks, I'll update. Did you have a preprint url, too?
Cheers,
-Juha
#!/usr/bin/env python
from __future__ import division
import numpy,h5py,sys,time,os
from enthought.mayavi import mlab
from enthought.mayavi.sources.array_source import ArraySource
def generate_data(a,b):
X,Y,Z = numpy.mgrid[-3:3:0.2,-3:3:0.2,-3:3:0.2]
scale = 1.0
L = 2.5
rsqr = X*X+Y*Y+Z*Z
rr = numpy.sqrt(rsqr)
fofr = numpy.zeros_like(rr)
fofr[rr/scale<L] = numpy.pi*(L-rr[rr/scale<L]/scale)/L
U11 = numpy.cos(fofr) + 1j*numpy.sin(fofr)/rr*Z
U21 = (1j*X - Y)*numpy.sin(fofr)/rr
W = U11**b/U21**a;
#W=numpy.nan_to_num(W)
norm = numpy.abs(W)**2+1;
phi1 = numpy.zeros_like(W.real)
phi2 = numpy.zeros_like(W.real)
phi3 = numpy.ones_like(W.real)
phi1[numpy.isfinite(W)] = 2*(W.real/norm)[numpy.isfinite(W)]
phi2[numpy.isfinite(W)] = 2*(W.imag/norm)[numpy.isfinite(W)]
phi3[numpy.isfinite(W)] = ((numpy.abs(W)**2-1)/norm)[numpy.isfinite(W)]
return phi1,phi2,phi3
# plot something
phi1,phi2,phi3 = generate_data(3,2)
source=mlab.pipeline.scalar_field(phi3.T, name="phi", transpose_input_array=False)
ds=source.mlab_source.dataset
ds.point_data.scalars.name="phi3"
nid2 = ds.point_data.add_array(phi2.ravel())
ds.point_data.get_array(nid2).name = "phi2"
nid1 = ds.point_data.add_array(phi1.ravel())
ds.point_data.get_array(nid1).name = "phi1"
act3 = mlab.pipeline.set_active_attribute(source, point_scalars='phi3', name="activate_phi3")
con3 = mlab.pipeline.contour(act3, name="latitude_contour")
camera=mlab.gcf().scene.camera
sorted=mlab.pipeline.user_defined(con3, filter="DepthSortPolyData")
sorted.filter.camera=camera
con3plot = mlab.pipeline.surface(sorted, color=(1,1,1), opacity=0.5)
act3c = mlab.pipeline.set_active_attribute(source, point_scalars='phi3',
name="activate_phi3_for_core")
# the pipeline will die if there are no points where phi3<0, so if that happens, we set strange limits...
if (act3c.mlab_source.scalars.min()>=0.0):
up=act3c.mlab_source.scalars.max()
else:
up=0.0
low=act3c.mlab_source.scalars.min()
filtered3 = mlab.pipeline.threshold(act3c, up=up, low=low, name="filtered phi3")
filtered3.auto_reset_upper=False
act2f3 = mlab.pipeline.set_active_attribute(filtered3, point_scalars='phi2', name="activate_phi2")
con2f3 = mlab.pipeline.contour(act2f3, name="phi2==0")
act1_on_2 = mlab.pipeline.set_active_attribute(con2f3, point_scalars='phi1', name="activate_phi1_on_phi2==0")
con1_on_2 = mlab.pipeline.contour(act1_on_2, name="phi1==0")
phi3core = mlab.pipeline.set_active_attribute(con1_on_2, point_scalars='phi3', name="activate_core")
coreplot = mlab.pipeline.surface(phi3core, color=(0,0,1), line_width=5.0, name="core")
act1c = mlab.pipeline.set_active_attribute(source, point_scalars='phi1',
name="activate_phi1_for_core")
filtered1 = mlab.pipeline.threshold(act1c, up=0.0, name="filtered phi1")
filtered1.auto_reset_upper=False
act2f1 = mlab.pipeline.set_active_attribute(filtered1, point_scalars='phi2', name="activate_phi2")
con2f1 = mlab.pipeline.contour(act2f1, name="phi2==0")
act3_on_2 = mlab.pipeline.set_active_attribute(con2f1, point_scalars='phi3', name="activate_phi3_on_phi2==0")
con3_on_2 = mlab.pipeline.contour(act3_on_2, name="phi3==0")
phi1core = mlab.pipeline.set_active_attribute(con3_on_2, point_scalars='phi1', name="activate_phi1_preimage")
phi1plot = mlab.pipeline.surface(phi1core, color=(1,0,0), line_width=5.0, name="phi1==1")
core = phi3core
# then replace some data...
phi1,phi2,phi3 = generate_data(3,3)
mlab.gcf().scene.disable_render=True
filtered1.auto_reset_upper=True
filtered3.auto_reset_upper=True
S=source
ds=S.mlab_source.dataset
for i in range(ds.point_data.number_of_arrays-1,-1,-1):
if (ds.point_data.get_array(i) is not None):
ds.point_data.remove_array(ds.point_data.get_array(i).name)
S.mlab_source.set(scalars=phi3.T)
ds.point_data.scalars.name = 'phi3'
ds.modified()
nid2 = ds.point_data.add_array(phi2.ravel())
ds.point_data.get_array(nid2).name = "phi2"
nid1 = ds.point_data.add_array(phi1.ravel())
ds.point_data.get_array(nid1).name = "phi1"
ds.modified()
filtered1.auto_reset_upper=False
filtered3.auto_reset_upper=False
filtered1.upper_threshold=0.0
filtered3.upper_threshold=0.0
filtered1.update_pipeline() # for SOME reason, this is NOT necessary for correct operation, nut
filtered3.update_pipeline() # this IS - go figure
ds.modified()
mlab.gcf().scene.disable_render=False
------------------------------------------------------------------------------
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