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On Tue, Mar 19, 2013 at 8:29 PM, Elizabeth Tasker firstname.lastname@example.org wrote:
I have two question about visualisation options:
(1) Is there a way of changing the colour of the contour, when it's used as a plot modification? I've tried:
p.modify['contour']('NumberDensity', ncont=1, clim=[90,110], plot_args=dict(color='white', linewidths=3))
But no matter what I set 'color' all I get is purple!
Hmm. The arguments to plot_args get sent directly to matplotlib's contour command:
I think it might be "colors" and not "color".
(2) When yt is used to create a grid of images via:
p = pc.add_projection("Density", 2, center=na.array([x[i],y[i],16.]), figure=fig, axes=axes[i], use_colorbar=False)
is there a way to add a space or a thicker border between the images? Currently, the images are quite dark and the border is black, so they run into each other a bit.
Yes, but you need to do that manually when you create the axes[i][j] objects you're feeding in. If you're doing it via the multiplot commands in yt, it's probably not going to happen. But if you do it manually via something like axes_grid, or jjust by manually creating the axes inside a figure, it will be easier to adjust.
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