Thank you for your information.
Junhwan
On Thu, Jan 17, 2013 at 2:54 PM, Nathan Goldbaum
Hi Junhwan,
After registering your new field, you can tell yt to plot it on a linear scale using the following invocation:
pf.field_info['PotentialFieldCGS'].take_log = False
Alternatively you can tell yt to plot your field on a linear scale in your call to add_field:
add_field('PotentialFieldCGS',take_log=False,function=_PotentialFieldCGS)
This assumes the field is defined through a function called _PotentialFieldCGS. For more details, take a look at this page of the docs: http://yt-project.org/docs/2.4/analyzing/creating_derived_fields.html?highli...
As for your second question, SlicePlot internally uses the FixedResolutionBuffer class to pixelize the data. FixedResolutionBuffer does not do any interpolation to smooth over pixelized data. One could take the image array and smooth it in postprocessing but that functionality has not been built in to FixedResolutionBuffer up to this point. For more details about FixedResolutionBuffer, take a look at its page in the API docs: http://yt-project.org/docs/2.4/api/generated/yt.visualization.fixed_resoluti...
You may have more luck making a smoothed image using the manual plotting interface: http://yt-project.org/docs/2.4/visualizing/manual_plotting.html
If you went this route, you would have to come up with a recipe to smooth the image and then manually construct the plot.
Cheers,
Nathan
On Jan 17, 2013, at 11:41 AM, Jun-Hwan Choi wrote:
Hi all,
I have two questions on yt SlicePlot. First, when I make a new field and generate the SlicePlot of the simulation with a given field, I face on following error message: Traceback (most recent call last): File "Pot.py", line 16, in <module> pc = SlicePlot(pf, "x", "PotentialFieldCGS", width = (6.0, 'kpc'),center=den_center) File "/home/jhchoi/common/lib/python2.7/site-packages/yt-2.4-py2.7-linux-x86_64.egg/yt/visualization/plot_window.py", line 804, in __init__ PWViewerMPL.__init__(self, slc, bounds, origin=origin) File "/home/jhchoi/common/lib/python2.7/site-packages/yt-2.4-py2.7-linux-x86_64.egg/yt/visualization/plot_window.py", line 447, in __init__ if setup: self._setup_plots() File "/home/jhchoi/common/lib/python2.7/site-packages/yt-2.4-py2.7-linux-x86_64.egg/yt/visualization/plot_window.py", line 617, in _setup_plots self.plots[f].image, cax = self.plots[f].cax) File "/home/jhchoi/common/lib/python2.7/site-packages/matplotlib/figure.py", line 1104, in colorbar cb = cbar.Colorbar(cax, mappable, **kw) File "/home/jhchoi/common/lib/python2.7/site-packages/matplotlib/colorbar.py", line 731, in __init__ ColorbarBase.__init__(self, ax, **kw) File "/home/jhchoi/common/lib/python2.7/site-packages/matplotlib/colorbar.py", line 246, in __init__ self.draw_all() File "/home/jhchoi/common/lib/python2.7/site-packages/matplotlib/colorbar.py", line 260, in draw_all self._process_values() File "/home/jhchoi/common/lib/python2.7/site-packages/matplotlib/colorbar.py", line 558, in _process_values b = self.norm.inverse(self._uniform_y(self.cmap.N+1)) File "/home/jhchoi/common/lib/python2.7/site-packages/matplotlib/colors.py", line 895, in inverse return vmin * ma.power((vmax/vmin), val) File "/home/jhchoi/common/lib/python2.7/site-packages/numpy/ma/core.py", line 6043, in power m |= invalid ValueError: invalid return array shape
I suspect the reason is that Field value is negative and z value tends to be log scale (because I make it positive the yt work). Is there any way to make plot in negative with making linear z-value?
Second, when I make a SlicePlot with small region, owing to resolution (certain grid cell size is not 1/10 of the Sire x-y size) the plot looks ugly. Is there any way to visually improve the low resolution SlicePlot?
Thank you in advance, Junhwan
-- -------------------------------------------------------------- Jun-Hwan Choi, Ph.D. Department of Physics and Astronomy, University of Kentucky Tel: (859) 897-6737 Fax: (859) 323-2846 Email: jhchoi@pa.uky.edu URL: http://www.pa.uky.edu/~jhchoi --------------------------------------------------------------
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