[yt-users] Making a Multiplot using Ramses data

[Matthew Turk]

Hi Kearn,

Oops, I guess my reply was less than helpful!  Sorry about that --
been one of those days.

On Mon, Nov 11, 2013 at 3:30 PM,  <k.grisdale at surrey.ac.uk> wrote:
> Hi Matt,
>
> Thanks for the reply. The code that I used below is my attempt at adapting
> the script on the yt pages explaining how to use Multi-Plot Slice and
> Projections. As I couldn’t figure out how make multi-plots of yt Projections
> I thought I’d try the adapting route. Which means there bits there I don’t
> get but have included as I thought they where needed for the multi plot.
>

I've spent a bit of time looking at this and I've been able to make a
multi plot that I think matches what you're looking for.  I've put the
script here, and I've also tried to note where there might be issues
with it that could be important when you adapt it to your data.

http://paste.yt-project.org/show/4047/

Let me know if that helps out, or if I can help in any other way.

-Matt

> Thanks again
>
> Kearn
>
>
>
> On 11 Nov 2013, at 20:13, Matthew Turk <matthewturk at gmail.com> wrote:
>
> Hi Kearn,
>
>
> On Mon, Nov 11, 2013 at 10:18 AM, <k.grisdale at surrey.ac.uk> wrote:
>>
>> Hi everyone
>>
>> I am trying to make a multi plot using data from Ramses. I have outputs
>> from Ramses at 6 different times and I want to make projections at each time
>> and place than in a multi plot to show evolution of the system. However when
>> the code that I have written gives the results below.
>>
>>
>> <Screen Shot 2013-11-11 at 15.12.13.png>
>>
>>
>> Can anyone offer any suggestions as to wear my code is going wrong?
>>
>> Thanks
>>
>> Kearn
>>
>> The code I’m using ( the for dax lines have been commented out because
>> every time they are included I get the error at the bottom)
>>
>> from yt.mods import * # set up our namespace
>> import matplotlib.colorbar as cb
>> from matplotlib.colors import LogNorm
>>
>> p1 = load("output_00001/info_00001.txt")
>> p2 = load("output_00002/info_00002.txt")
>> p3 = load("output_00003/info_00003.txt")
>> p4 = load("output_00004/info_00004.txt")
>> p5 = load("output_00005/info_00005.txt")
>> p6 = load("output_00006/info_00006.txt")
>>
>> cen = [0,0,0]
>> orient = 'vertical'
>>
>> fig, axes, colorbars = get_multi_plot(3, 2, colorbar=orient, bw = 4)
>> proj1 = p1.h.proj(2, "Density", center=cen)
>> proj2 = p2.h.proj(2, "Density", center=cen)
>> proj3 = p3.h.proj(2, "Density", center=cen)
>> proj4 = p4.h.proj(2, "Density", center=cen)
>> proj5 = p5.h.proj(2, "Density", center=cen)
>> proj6 = p6.h.proj(2, "Density", center=cen)
>>
>> proj1_frb = proj1.to_frb((0.7,"cm"),512)
>> proj2_frb = proj2.to_frb((0.7,"cm"),512)
>> proj3_frb = proj3.to_frb((0.7,"cm"),512)
>> proj4_frb = proj4.to_frb((0.7,"cm"),512)
>> proj5_frb = proj5.to_frb((0.7,"cm"),512)
>> proj6_frb = proj6.to_frb((0.7,"cm"),512)
>>
>> dens_axes = [axes[0][0], axes[1][0]]
>>
>> #for dax in zip(dens_axes) :
>
>
> I'm not sure what you're doing here -- this will yield:
>
> [(axes[0][0],), (axes[1][0],)]
>
> So you'll be getting back a tuple of length one inside the loop.  You should
> be able to do dax[0]?  But I'm not sure you need to zip in the first place,
> either.
>
> -Matt
>
>>
>>
>> #    dax.xaxis.set_visible(False)
>> #    dax.yaxis.set_visible(False)
>>
>> plots = [dens_axes[0].imshow(proj1_frb["Density"],origin ='lower'),
>>          dens_axes[0].imshow(proj2_frb["Density"],origin ='lower'),
>>          dens_axes[0].imshow(proj3_frb["Density"],origin ='lower'),
>>          dens_axes[0].imshow(proj4_frb["Density"],origin ='lower'),
>>          dens_axes[0].imshow(proj5_frb["Density"],origin ='lower'),
>>          dens_axes[0].imshow(proj6_frb["Density"],origin ='lower')]
>>
>> plots[0].set_clim((0.0,0.34))
>> plots[0].set_cmap("YlOrRd")
>> plots[1].set_clim((0.0,0.345))
>> plots[1].set_cmap("YlOrRd")
>> plots[2].set_clim((0.0,0.34))
>> plots[2].set_cmap("YlOrRd")
>> plots[3].set_clim((0.0,0.34))
>> plots[3].set_cmap("YlOrRd")
>> plots[4].set_clim((0.0,0.34))
>> plots[4].set_cmap("YlOrRd")
>> plots[5].set_clim((0.0,0.34))
>> plots[5].set_cmap("YlOrRd")
>>
>> fig.savefig("test”)
>>
>>
>> error:
>>
>> Traceback (most recent call last):
>>   File "plotterm2.py", line 34, in <module>
>>     dax.xaxis.set_visible(False)
>> AttributeError: 'tuple' object has no attribute 'xaxis'
>>
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