[yt-users] Side-by-side Phase Plots

[Nathan Goldbaum]

Hey Rick,

On Tue, Nov 4, 2014 at 9:21 PM, Rick Sarmento <rsarment at asu.edu> wrote:

>
>
> Hello all,
>
> I’m having trouble getting yt to plot 2 gas-phase diagrams side-by-side in
> a grid. I can do this fine for a projection plot, phase plots seems to
> behave differently. Here’s the code — any idea how to get these two plots
> side by side sharing the same scale/color-bar?
>
> # fractional=True keyword -- divide the profile data by the sum.
> fns = [
> "/Users/earnric/RAMSES-Data/coolingFixedTau/output_00010/info_00010.txt",
>        "/Users/earnric/RAMSES-Data/noCool/output_00010/info_00010.txt"]
>
> fig = plt.figure()
> grid = AxesGrid(fig, (0.075,0.075,0.85,0.85),
>                 nrows_ncols = (1, 2),
>                 axes_pad = 0.05,
>                 label_mode = "L",
>                 share_all = True,
>                 cbar_location="right",
>                 cbar_mode="single",
>                 cbar_size="3%",
>                 cbar_pad="0%")
> fig.suptitle("Gas Phase")
>
> for i, fn in enumerate(fns):
>     ds = yt.load(fn)
>     ad = ds.all_data()
>     p = yt.PhasePlot(ad, "density", "temperature", "cell_mass",
> x_bins=256, y_bins=256, weight_field=None, fractional=True )
>     plot = p.plots['cell_mass']
>     if i % 2 == 0:
>         ptype = "Gas phase ${H_2}$ cooling "
>     else:
>         ptype = "Gas phase Standard cooling "
>     zStr = ptype + "z = %.1f" % ds.current_redshift
>     plot.figure = fig
>     plot.axes = grid[i].axes
>     plot.cax = grid.cbar_axes[i]
>     #plot.annotate_title(zStr) # YOU HAVE TO DO THIS AFTER THE AXES calls
>
>     p['cell_mass'].axes.set_ylim (1e-1, 1e6)
>     p['cell_mass'].axes.set_xlim (1e-29, 1e-24)
>     p['cell_mass'].axes.set_title(zStr, fontsize=20)
> p.show()
>
>
FWIW, this is the first I've ever heard someone trying to do this. I can
confirm that it doesn't work.

I tried experimenting a bit and unfortunately I think you're running into a
limitation of matplotlib: AxesGrid doesn't support logarithmic x and y axes.

I can get something sort of sensible if I specify linear x and y axes and
manually adjust the aspect ratio, but I don't think this is a particularly
sustainable solution for supporting these sorts of plots:

http://nbviewer.ipython.org/gist/ngoldbaum/ab71b48bd42e8c2a5b42

Unfortunately when I try to make the same plot using logarithmic axes, I
get junk:

http://nbviewer.ipython.org/gist/ngoldbaum/821e44612f53eae830d8

I think the most straightforward way to do this would be to do it 100%
manually (outside of PhasePlot) using a Profile2D object and matplotlib.
If you figure out something that works for you I think it would be a good
addition for the cookbook.

It might be possible to use PhasePlot with a hand-constructured set of
axes, but I've never tried to set that up so I'm not sure if you'll need to
modify yt to get it to work.

Sorry I don't have better news for you - good luck with getting this plot
working.

-Nathan


>
> *Cheers,*
>
> *Rick Sarmento*
>
>
>
>
>
>
>
> _______________________________________________
> yt-users mailing list
> yt-users at lists.spacepope.org
> http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.spacepope.org/pipermail/yt-users-spacepope.org/attachments/20141104/6accce2a/attachment.html>