Andreas, sure, it would only be available in colour. But there's other ways to mark NaNs, which, after all, should be exceptional, not a major chunk of your data. I don't know enough about your use-case to comment on an exact solution but I do think that NaN display should not drive design.
I second Todd though — I would really love to have all of these available so people can choose. But the issue of branding with the default is also important, so that doesn't diminish the discussion ahead... Which looks like it will be intense! =) Juan. On Wed, Jun 3, 2015 at 5:04 PM, Andreas Hilboll <li...@hilboll.de> wrote: > On 03.06.2015 08:54, Juan Nunez-Iglesias wrote: > > You can always use green for NaN with any of these maps... > > In grayscale that then wouldn't be distinguishable at all ... > > > On Wed, Jun 3, 2015 at 4:30 PM, Andreas Hilboll <li...@hilboll.de > > <mailto:li...@hilboll.de>> wrote: > > > > > I particularly like that A ends on the white end of the spectrum > > > > That's exactly why I don't like A that much. > > > > In many plots, I need a color for NaN results. This color should not > > fall within the normal range of the colormap. In case of B and C, it > > would be possible to use white as NaN color. When using white for NaN > > in A, it would just look like large values. So I guess I'm voting > > > > B > C > A > > > > -- Andreas. > > > > > > ------------------------------------------------------------------------------ > > > > _______________________________________________ > > Matplotlib-devel mailing list > > Matplotlib-devel@lists.sourceforge.net > > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel > > > > > > > -- > -- Andreas. > > > ------------------------------------------------------------------------------ > _______________________________________________ > Matplotlib-devel mailing list > Matplotlib-devel@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel >
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