[yt-users] Visualisation problems

Matthew Turk matthewturk at gmail.com
Mon Mar 25 04:44:06 PDT 2013


Hi Elizabeth,

Sorry your email passed by!  I've replied inline.

On Tue, Mar 19, 2013 at 8:29 PM, Elizabeth Tasker
<tasker at astro1.sci.hokudai.ac.jp> wrote:
> Hey,
>
> 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:

http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.contour

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[0][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.

-Matt

>
>
> Thanks!
>
> Elizabeth
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