Using multiple colormaps in projection_plot
Hi All, I have a question regarding projection plot colormaps that maybe someone can answer. I plot temperature data for combustion simulations, with temperature in the flame ranging from 3200K - 5500K and temperature outside of the flame ranging from 300K to 1000K. I want to generate projection plots using two different colormaps, one for the flame and one for outside of it. I have been using kamae_r for the whole range 300 – 5500, but I lose resolution in both the flame and unburned gas regions because of the large range of my colorscale. Since none of my computational cells have a temperature in the intermediate region, 1000 – 3200, I want to make plots with two separate colormaps, or one colormap that combines two fully resolved colormaps for those temperature intervals, to show my data more clearly. I have been playing around with making a custom colormap by working directly with matplotlib (using the LinearSegmentedColormap function), but it is very difficult to get the resolution correct when setting the color intervals and interpolation by hand. Any advice is appreciated!
Hi Gabriel, I introduced the ability to make customized colormaps in yt a few months back in the development branch. You should be able to make a custom colormap that just covers the linear range of 300-1000 with something like one colormap and then 3200-5500 with another colormap custom colormap. See the docs here: http://yt-project.org/docs/dev/visualizing/colormaps/index.html Cameron On Thu, Jun 25, 2015 at 9:10 AM, Gabriel Goodwin <ggoodwin52@gmail.com> wrote:
Hi All,
I have a question regarding projection plot colormaps that maybe someone can answer. I plot temperature data for combustion simulations, with temperature in the flame ranging from 3200K - 5500K and temperature outside of the flame ranging from 300K to 1000K. I want to generate projection plots using two different colormaps, one for the flame and one for outside of it.
I have been using kamae_r for the whole range 300 – 5500, but I lose resolution in both the flame and unburned gas regions because of the large range of my colorscale. Since none of my computational cells have a temperature in the intermediate region, 1000 – 3200, I want to make plots with two separate colormaps, or one colormap that combines two fully resolved colormaps for those temperature intervals, to show my data more clearly.
I have been playing around with making a custom colormap by working directly with matplotlib (using the LinearSegmentedColormap function), but it is very difficult to get the resolution correct when setting the color intervals and interpolation by hand.
Any advice is appreciated!
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-- Cameron Hummels Postdoctoral Researcher Steward Observatory University of Arizona http://chummels.org
On Thu, Jun 25, 2015 at 10:00 AM, Cameron Hummels <chummels@gmail.com> wrote:
Hi Gabriel,
I introduced the ability to make customized colormaps in yt a few months back in the development branch. You should be able to make a custom colormap that just covers the linear range of 300-1000 with something like one colormap and then 3200-5500 with another colormap custom colormap. See the docs here:
http://yt-project.org/docs/dev/visualizing/colormaps/index.html
You can also pass a custom colormap defined via matplotlib (e.g. a LinearSegmentedColormap) to the set_cmap function that's attached to yt plot objects.
Cameron
On Thu, Jun 25, 2015 at 9:10 AM, Gabriel Goodwin <ggoodwin52@gmail.com> wrote:
Hi All,
I have a question regarding projection plot colormaps that maybe someone can answer. I plot temperature data for combustion simulations, with temperature in the flame ranging from 3200K - 5500K and temperature outside of the flame ranging from 300K to 1000K. I want to generate projection plots using two different colormaps, one for the flame and one for outside of it.
I have been using kamae_r for the whole range 300 – 5500, but I lose resolution in both the flame and unburned gas regions because of the large range of my colorscale. Since none of my computational cells have a temperature in the intermediate region, 1000 – 3200, I want to make plots with two separate colormaps, or one colormap that combines two fully resolved colormaps for those temperature intervals, to show my data more clearly.
I have been playing around with making a custom colormap by working directly with matplotlib (using the LinearSegmentedColormap function), but it is very difficult to get the resolution correct when setting the color intervals and interpolation by hand.
Any advice is appreciated!
_______________________________________________ yt-users mailing list yt-users@lists.spacepope.org http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
-- Cameron Hummels Postdoctoral Researcher Steward Observatory University of Arizona http://chummels.org
_______________________________________________ yt-users mailing list yt-users@lists.spacepope.org http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
participants (3)
-
Cameron Hummels -
Gabriel Goodwin -
Nathan Goldbaum