for tick in colorbar_ax.yaxis.get_ticklines():
tick.set_color('white')
for tick in colorbar_ax.xaxis.get_ticklines():
tick.set_visible(False)
# Show the RGB images
prev = None
for i in range(N):
# Blend the RGB images
image_total = images_temp[i] * 1.50 + images_dens[i] * 0.33
bitmap = write_bitmap(image_total, 'dens_temp_{0:03d}.png'.format(i + 1),
max_val=0.0085, transpose=True)
# Remove alpha
bitmap = bitmap[:, :, :3]
if prev is None:
prev = ax.imshow(bitmap)
else:
prev.set_data(bitmap)
fig.savefig('output/frame_{0:03d}.png'.format(i + 1),
facecolor=fig.get_facecolor(),
edgecolor='none', bbox_inches='tight')
fig.savefig('output/frame_{0:03d}.pdf'.format(i + 1),
facecolor=fig.get_facecolor(),
fields=['temperature'], log_fields=[False],
no_ghost=True, north_vector = [0., 1., 0.])
cam_11 = pf.h.camera(c, L, W, N, tf_11,
fields=['temprature_1'], log_fields=[False],
no_ghost=True, north_vector = [0., 1., 0.])
# Set up layers
tf_c18o.add_layers(10, 0.003, colormap='RdBu_r') #was 10, .0001
tf_11.add_layers(18, .003, colormap = 'Reds')
# Produce snapshot
N = 36*4
images_c18o = []
for i, snapshot in enumerate(cam_c18o.rotation(2*np.pi, N, clip_ratio = 8.0, rot_vector = [0., 1., 0.])):
images_c18o.append(cam_c18o.snapshot())
images_11 = []
for i, snapshot in enumerate(cam_11.rotation(2*np.pi, N, clip_ratio = 8.0, rot_vecotr = [0., 1., 0.])):
images_11.append(cam_11.snapshot())
for i in range(N):
image_total = images_c18o[i]*3. + images_11[i]*1.5
image_total.write_png('c18o_ammonia11_{0:03d}.png'.format(i+1))
#Write bitmap ##ERROR##
write_bitmap(im_c18o, 'test_c18o_bitmap.png', transpose = True)
tick.set_color('white')
for tick in colorbar_ax.xaxis.get_ticklines():
tick.set_visible(False)
# Show the RGB images
prev = None
for i in range(N):
# Blend the RGB images
image_total = images_temp[i] * 1.50 + images_dens[i] * 0.33
bitmap = write_bitmap(image_total,
'dens_temp_{0:03d}.png'.format(i + 1),
max_val=0.0085,
transpose=True)
# Remove alpha
bitmap = bitmap[:, :, :3]
if prev is None:
prev = ax.imshow(bitmap)
else:
prev.set_data(bitmap)
fig.savefig('output/frame_{0:03d}.png'.format(i + 1),
facecolor=fig.get_facecolor(),
edgecolor='none',
bbox_inches='tight')