Hi Chris, Someone else that knows better than me can correct me, but it looks like all of the matplotlib imports happen in yt/visualization/_mpl_imports.py. The only configuration is this line: matplotlib.rc('contour', negative_linestyle='solid') which changes the default linestyle for contour plots. Other than that, if you use the Agg backend, you should be able to produce plots that look like yt plots. I believe yt uses the default fonts and matplotlib colortables (except for the ones in yt/visualization/_colormap_data.py. If you're trying to make publication quality plots, you may want to take a look at the EPS writer that John Wise wrote (yt/visualization/eps_writer.py) which leverages pyx to make really nice native postscript plots, or look at the various plot types (e.g. the RavenPlot in yt/visualization/plot_types.py). Personally, if I have to make consistent looking plots, I'd like to be in complete control so I use FixedResolutionBuffers and custom matplotlib scripts. Hope that helps! -Nathan On Apr 28, 2012, at 6:59 PM, Christopher Moody wrote:

Hi all, Aesthetically, it'd be nice to make matplotlib plots with a consistent style as yt-made plots so that fonts, sizes, color palettes and so on agree. I imagine that this means I have to find yt's default matplotlib rc, or something analogous, somewhere.

Many thanks for the help! chris _______________________________________________ yt-users mailing list yt-users@lists.spacepope.org http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org

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Hi Chris, Here is another option for making some publication quality plots. http://hub.yt-project.org/ytScripts/fancy-multi-panel-plots/ Britton On Sun, Apr 29, 2012 at 12:01 AM, Matthew Turk wrote:

Hi Chris,

One quick note to add to what Nathan wrote is that we are pretty careful to use the MathText rendering, which is pseudo-LaTeX. For instance, you can set labels with:

ax.set_xlabel(r"$\mathrm{Something}\/\mathrm{Interesting}\/[\mathrm{x}^3]$")

Also, I fully support using the FRB's for publication quality plots, instead of plot collections.

-Matt

...

Hi Chris,

Someone else that knows better than me can correct me, but it looks like all of the matplotlib imports happen in yt/visualization/_mpl_imports.py.

The only configuration is this line: matplotlib.rc('contour', negative_linestyle='solid') which changes the default linestyle for contour plots.

Other than that, if you use the Agg backend, you should be able to

On Sat, Apr 28, 2012 at 10:22 PM, Nathan Goldbaum wrote: produce

...

plots that look like yt plots. I believe yt uses the default fonts and matplotlib colortables (except for the ones in yt/visualization/_colormap_data.py. If you're trying to make publication quality plots, you may want to take a look at the EPS writer that John Wise wrote (yt/visualization/eps_writer.py) which leverages pyx to make really nice native postscript plots, or look at the various plot types (e.g. the RavenPlot in yt/visualization/plot_types.py).

Personally, if I have to make consistent looking plots, I'd like to be in complete control so I use FixedResolutionBuffers and custom matplotlib scripts.

Hope that helps!

-Nathan

On Apr 28, 2012, at 6:59 PM, Christopher Moody wrote:

Hi all, Aesthetically, it'd be nice to make matplotlib plots with a consistent style as yt-made plots so that fonts, sizes, color palettes and so on agree. I imagine that this means I have to find yt's default matplotlib rc, or something analogous, somewhere.

Many thanks for the help! chris _______________________________________________ yt-users mailing list yt-users@lists.spacepope.org http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org

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