Dear Kacper,

but this is giving the following error

Traceback (most recent call last):
  File "multi_plot_temp_reju.py", line 19, in <module>
    pf.field_info["Temperature"].take_log = False
  File "/data1/pdf/csurajit/yt-x86_64/src/yt-hg/yt/data_objects/field_info_container.py", line 131, in __missing__
    return self.fallback[key]
  File "/data1/pdf/csurajit/yt-x86_64/src/yt-hg/yt/data_objects/field_info_container.py", line 131, in __missing__
    return self.fallback[key]
  File "/data1/pdf/csurajit/yt-x86_64/src/yt-hg/yt/data_objects/field_info_container.py", line 130, in __missing__
    raise KeyError("No field named %s" % key)
KeyError: 'No field named Temperature'




On Sat, Aug 10, 2013 at 10:55 AM, Kacper Kowalik <xarthisius.kk@gmail.com> wrote:
On 08/08/2013 10:05 AM, Reju Sam John wrote:
> Dear All,
> I am trying to plot a multi plot of temperatures at different red-shifts
> with following script.
>
> from yt.mods import * # set up our namespace
> import matplotlib.colorbar as cb
>
> fig, axes, colorbars = get_multi_plot( 3, 1, colorbar='vertical', bw = 4)
>
> file1="/app/run/csarkar/surajit/simulation_shock/simulation5/RD00"
> file2="/RedshiftOutput00"
> list = [11,13,22]
> m=0
> #for kk in range(20,37):
> for kk in list:
>     fn_i=str(kk)
>     fn=file1+fn_i+file2+fn_i # parameter file to load
>     print fn
>     pf = load(fn) # load data
>     pc = PlotCollection(pf, center=[0.5,0.5,0.5]) # defaults to center at
> most dense point#dd = pf.h.all_data()
>     p = pc.add_slice("Temperature", 1, figure = fig, axes = axes[0][m],
> use_colorbar=False)
>     p.set_log_field(False)
>     p.set_zlim(1e4,5e7)
>     #p.set_cmap("jet")# a different colormap
>     p.modify["contour"]("Density", ncont=9, plot_args =
> {'colors':'w'},clim=(5e-30,5e-25))
>     #p.modify["contour"]("Temperature", ncont=10, plot_args =
> {'colors':'k'},clim=(3e7,1e8))
>     pc.set_width(15, 'mpc') # change width of all plots in pc
>     m=m+1
>     #pc.save("%s_p.png" % pf) # save all plots
>     for p, cax in zip(pc.plots, colorbars):
>     cbar = cb.Colorbar(cax, p.image, orientation='vertical')
>     p.colorbar = cbar
>     p._autoset_label()
>     fig.savefig("Temperature_at_rd00_11,13,22" % pf)
>
> The problem is that I am getting the temperature in log scale, even-though
> I used  p.set_log_field(False)
> in my script.

Hi,
I'm not exactly sure why set_log_field doesn't work for you, but you
could try to call:

pf.field_info["Temperature"].take_log = False

after loading a file.
Cheers,
Kacper


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--
Reju Sam John