def color(self,color):
bpy.context.scene.objects.active = bpy.data.objects[self.__name]
delete_unused_materials(self.__name)
sphmat = makeMaterial(self.__name, color, (1,1,1), 1.0, 0.0) # no emissivity or transperency for now
setMaterial(bpy.data.objects[self.__name], sphmat)
self.__color = color
def __init__(self,
ds,
image_name="ytProjectionImage",
axis='z',
variable=('gas', 'temperature'),
weight_variable=('gas', 'density'),
center=[0.0, 0.0, 0.0],
width=10.0,
units='kpc',
color_map='algae',
show_annotations=False):
from yt import ProjectionPlot, OffAxisProjectionPlot
if (axis != 'z') and (axis != 'y') and (axis != 'x'):
p = OffAxisProjectionPlot(ds,
axis,
variable,
width=(width, units),
weight_field=weight_variable)
#plot = p.plots[variable]
#fig = plot.figure
#f = BytesIO()
#vv = yt.write_image(np.log10(p.frb[variable][:,:-1].d),f, cmap_name = color_map)
p.hide_axes()
p.hide_colorbar()
p.set_cmap(variable, color_map)
p._setup_plots()
plot = p.plots[variable]
plot.canvas.draw()
buff = plot.canvas.tostring_argb()
ncols, nrows = plot.canvas.get_width_height()
vv = np.fromstring(buff, dtype=np.uint8).reshape((nrows, ncols, 4),
order="C")
if show_annotations:
p = OffAxisProjectionPlot(ds,
axis,
variable,
width=(width, units),
weight_field=weight_variable)
p.set_cmap(variable, color_map)
p._setup_plots()
plot = p.plots[variable]
plot.canvas.draw()
buff2 = plot.canvas.tostring_argb()
ncols2, nrows2 = plot.canvas.get_width_height()
vv2 = np.fromstring(buff2, dtype=np.uint8).reshape(
(nrows2, ncols2, 4), order="C")
#plot.canvas.draw()
#buff = plot.canvas.tostring_argb()
#ncols2, nrows2 = plot.canvas.get_width_height()
#vv2 = np.fromstring(buff, dtype=np.uint8).reshape((nrows2, ncols2, 4), order="C")
else:
p = ProjectionPlot(ds,
axis,
variable,
center=center,
width=(width, units),
weight_field=weight_variable)
#plot = p.plots[variable]
#fig = plot.figure
#f = BytesIO()
#vv = yt.write_image(np.log10(p.frb[variable][:,:-1].d),f, cmap_name = color_map)
p.hide_axes()
p.hide_colorbar()
p.set_cmap(variable, color_map)
p._setup_plots()
plot = p.plots[variable]
plot.canvas.draw()
buff = plot.canvas.tostring_argb()
ncols, nrows = plot.canvas.get_width_height()
vv = np.fromstring(buff, dtype=np.uint8).reshape((nrows, ncols, 4),
order="C")
if show_annotations:
p = ProjectionPlot(ds,
axis,
variable,
center=center,
width=(width, units),
weight_field=weight_variable)
p.set_cmap(variable, color_map)
p._setup_plots()
plot = p.plots[variable]
plot.canvas.draw()
buff2 = plot.canvas.tostring_argb()
ncols2, nrows2 = plot.canvas.get_width_height()
vv2 = np.fromstring(buff2, dtype=np.uint8).reshape(
(nrows2, ncols2, 4), order="C")
#plot.canvas.draw()
#buff = plot.canvas.tostring_argb()
#ncols2, nrows2 = plot.canvas.get_width_height()
#vv2 = np.fromstring(buff, dtype=np.uint8).reshape((nrows2, ncols2, 4), order="C")
ncols = vv.shape[1]
nrows = vv.shape[0]
# delete if already there
for im in bpy.data.images:
if im.name == image_name:
delete_unused_images(image_name)
delete_unused_textures(image_name)
delete_unused_materials(image_name)
# for annotations
for im in bpy.data.images:
if im.name == image_name + '_ann':
delete_unused_images(image_name + '_ann')
delete_unused_textures(image_name + '_ann')
delete_unused_materials(image_name + '_ann')
# switching a from back to front, and flipping image
# if also with annotation do a nice one in the domain
pixels_tmp = np.array(vv)
for i in range(0, nrows):
#pixels_tmp[i,:,0] = vv[i,:,0]
#pixels_tmp[i,:,1] = vv[i,:,1]
#pixels_tmp[i,:,2] = vv[i,:,2]
#pixels_tmp[i,:,3] = vv[i,:,3]
pixels_tmp[i, :, 3] = vv[nrows - 1 - i, :, 0]
pixels_tmp[i, :, 0] = vv[nrows - 1 - i, :, 1]
pixels_tmp[i, :, 1] = vv[nrows - 1 - i, :, 2]
pixels_tmp[i, :, 2] = vv[nrows - 1 - i, :, 3]
if show_annotations:
pixels_tmp2 = np.array(vv2)
if show_annotations:
for i in range(0, nrows2):
pixels_tmp2[i, :, 3] = vv2[nrows2 - 1 - i, :, 0]
pixels_tmp2[i, :, 0] = vv2[nrows2 - 1 - i, :, 1]
pixels_tmp2[i, :, 1] = vv2[nrows2 - 1 - i, :, 2]
pixels_tmp2[i, :, 2] = vv2[nrows2 - 1 - i, :, 3]
# blank image
image = bpy.data.images.new(image_name, width=ncols, height=nrows)
if show_annotations:
image2 = bpy.data.images.new(image_name + '_ann',
width=ncols2,
height=nrows2)
pixels = pixels_tmp.ravel() / 255.
#pixels = vv.ravel()/255.
if show_annotations:
pixels2 = pixels_tmp2.ravel() / 255.
image.pixels = pixels
if show_annotations:
image2.pixels = pixels2
# activate the image in the uv editor
for area in bpy.context.screen.areas:
if area.type == 'IMAGE_EDITOR':
if show_annotations:
area.spaces.active.image = image2
else:
area.spaces.active.image = image
elif area.type == 'VIEW_3D': # make sure material/render view is on
for space in area.spaces:
if space.type == 'VIEW_3D':
if (space.viewport_shade != 'RENDERED') and (
space.viewport_shade != 'MATERIAL'):
space.viewport_shade = 'RENDERED' # material is too slow
# also, attach to the projection in the blender 3d window
# now, set color
figmat = makeMaterial(image_name, (0, 0, 0), (1, 1, 1), 1.0,
0.0) # no emissivity or transperency for now
setMaterial(bpy.data.objects[image_name], figmat)
# also, make shadeless
bpy.data.materials[image_name].use_shadeless = True
# Create image texture from image
cTex = bpy.data.textures.new(image_name, type='IMAGE')
cTex.image = image
# Add texture slot for color texture
mat = bpy.data.materials[image_name]
mtex = mat.texture_slots.add()
mtex.texture = cTex
#mtex.texture_coords = 'UV'
mtex.texture_coords = 'OBJECT' # this seems to work better for figures, but certainly needs to be tested
mtex.use_map_color_diffuse = True
mtex.use_map_color_emission = True
mtex.emission_color_factor = 0.5
mtex.use_map_density = True
mtex.mapping = 'FLAT'
# map to object
mtex.object = bpy.data.objects[image_name]