<meta http-equiv="Content-Type" content="text/html; charset=utf-8"><div dir="ltr">I always liked this reference:<div><br></div><div><a href="https://urldefense.proofpoint.com/v2/url?u=http-3A__www.kennethmoreland.com_color-2Dmaps_ColorMapsExpanded.pdf&d=BQMFaQ&c=8hUWFZcy2Z-Za5rBPlktOQ&r=hgcBC3x6dKFoTrmFmMYYbKNfiHZlGLKliIidd1LwmHI&m=mc3FUZmzE_5MvO0A88Q_PNSpp6HShB9ISgB9V7DBQGQ&s=AU1-nkoHB40J_qPyY4SaP_tOLngzMY9mqs-89lh_wgQ&e=">http://www.kennethmoreland.com/color-maps/ColorMapsExpanded.pdf</a><br></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Jan 6, 2016 at 1:13 PM, B.W. Keller <span dir="ltr"><<a href="mailto:kellerbw@mcmaster.ca" target="_blank">kellerbw@mcmaster.ca</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">There is a really excellent paper on designing color maps called "Color Sequences for Univariate Maps: Theory, Experiments, and Principles" that you can get here: <a href="https://urldefense.proofpoint.com/v2/url?u=http-3A__ccom.unh.edu_sites_default_files_publications_Ware-5F1988-5FCGA-5FColor-5Fsequences-5Funivariate-5Fmaps.pdf&d=BQMFaQ&c=8hUWFZcy2Z-Za5rBPlktOQ&r=hgcBC3x6dKFoTrmFmMYYbKNfiHZlGLKliIidd1LwmHI&m=mc3FUZmzE_5MvO0A88Q_PNSpp6HShB9ISgB9V7DBQGQ&s=_4Si9HPCOhTWENtGu6GxLPmU9YnwtfG834o7cbWeZ9w&e=" target="_blank">http://ccom.unh.edu/sites/default/files/publications/Ware_1988_CGA_Color_sequences_univariate_maps.pdf</a><div><br></div><div>If we design a new colormap, this would be a good reference along with those scipy resources. I personally would love to have an accessible, yt-custom colormap.<div><div class="h5"><br><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Jan 6, 2016 at 11:50 AM, Erik Schnetter <span dir="ltr"><<a href="mailto:schnetter@gmail.com" target="_blank">schnetter@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex">I think there are several colourmaps that were created when Viridis<br>
was invented. I personally like Inferno.<br>
<br>
-erik<br>
<div><div><br>
On Wed, Jan 6, 2016 at 11:34 AM, Nathan Goldbaum <<a href="mailto:nathan12343@gmail.com" target="_blank">nathan12343@gmail.com</a>> wrote:<br>
> I would also be for coming up with our own colormap. That said, I think<br>
> simply modifying algae won't be enough, since it is too perceptually<br>
> nonlinear.<br>
><br>
> On Wed, Jan 6, 2016 at 10:32 AM, John ZuHone <<a href="mailto:jzuhone@gmail.com" target="_blank">jzuhone@gmail.com</a>> wrote:<br>
>><br>
>> I would go for modifying algae.<br>
>><br>
>> > On Jan 6, 2016, at 11:30 AM, Matthew Turk <<a href="mailto:matthewturk@gmail.com" target="_blank">matthewturk@gmail.com</a>> wrote:<br>
>> ><br>
>> > Hi folks,<br>
>> ><br>
>> > For a long time we've used "algae," which was designed by Britton<br>
>> > about eight years ago, as the default colormap. This has been really<br>
>> > nice for "branding" yt -- if you see an algae plot, it's probably (not<br>
>> > definitely) made with yt. But it's also not accessible from a<br>
>> > colorblindness perspective. Stefan van der Walt has been giving some<br>
>> > really great talks lately about building a better colormap for<br>
>> > matplotlib (e.g., <a href="https://urldefense.proofpoint.com/v2/url?u=https-3A__www.youtube.com_watch-3Fv-3DxAoljeRJ3lU&d=BQMFaQ&c=8hUWFZcy2Z-Za5rBPlktOQ&r=hgcBC3x6dKFoTrmFmMYYbKNfiHZlGLKliIidd1LwmHI&m=mc3FUZmzE_5MvO0A88Q_PNSpp6HShB9ISgB9V7DBQGQ&s=1oWT_NK8su5sUKdIpFwY9XKlF5wxmm4ZVwK5MMJa5So&e=" rel="noreferrer" target="_blank">https://www.youtube.com/watch?v=xAoljeRJ3lU</a> ) which<br>
>> > culminated in viridis, which is shipping in recent versions of<br>
>> > matplotlib and will become the default.<br>
>> ><br>
>> > In support of this, he built a tool called viscm which can generate<br>
>> > reduced versions of colormaps to show what they would be like with<br>
>> > varying degrees of insensitivity to color. I've generated outputs<br>
>> > from viscm of three of the custom colormaps we ship with yt:<br>
>> ><br>
>> > Algae: <a href="https://urldefense.proofpoint.com/v2/url?u=https-3A__images.hub.yt_u_fido_m_d275d5e1-2Dpng_&d=BQMFaQ&c=8hUWFZcy2Z-Za5rBPlktOQ&r=hgcBC3x6dKFoTrmFmMYYbKNfiHZlGLKliIidd1LwmHI&m=mc3FUZmzE_5MvO0A88Q_PNSpp6HShB9ISgB9V7DBQGQ&s=jGK79wclJtg1S3RCHPsL5pVdfJfzqLq8vlnzyErw7U0&e=" rel="noreferrer" target="_blank">https://images.hub.yt/u/fido/m/d275d5e1-png/</a><br>
>> > Cubehelix: <a href="https://urldefense.proofpoint.com/v2/url?u=https-3A__images.hub.yt_u_fido_m_8e698928-2Dpng_&d=BQMFaQ&c=8hUWFZcy2Z-Za5rBPlktOQ&r=hgcBC3x6dKFoTrmFmMYYbKNfiHZlGLKliIidd1LwmHI&m=mc3FUZmzE_5MvO0A88Q_PNSpp6HShB9ISgB9V7DBQGQ&s=to1LgzeWjHsET6nqmOh4gCEK14GPNaiYajjFfgypsLI&e=" rel="noreferrer" target="_blank">https://images.hub.yt/u/fido/m/8e698928-png/</a> (I believe<br>
>> > this is now also shipped with MPL)<br>
>> > Kamae: <a href="https://urldefense.proofpoint.com/v2/url?u=https-3A__images.hub.yt_u_fido_m_e0e40efa-2Dpng_&d=BQMFaQ&c=8hUWFZcy2Z-Za5rBPlktOQ&r=hgcBC3x6dKFoTrmFmMYYbKNfiHZlGLKliIidd1LwmHI&m=mc3FUZmzE_5MvO0A88Q_PNSpp6HShB9ISgB9V7DBQGQ&s=U3uVMCgaDgdr7s6Bk1V_S3gYrlVCU6OSa05G58bjawc&e=" rel="noreferrer" target="_blank">https://images.hub.yt/u/fido/m/e0e40efa-png/</a><br>
>> ><br>
>> > I love algae, but it's not the best from an accessibility perspective.<br>
>> ><br>
>> > I'd like to propose that we use a new default colormap. If we do<br>
>> > this, I see two options:<br>
>> ><br>
>> > * Retain a "branding" by developing a new one either by using the<br>
>> > techniques used by matplotlib (or one of the maps they opted not to<br>
>> > use) or by modifying algae to be more accessible; looking at the<br>
>> > response functions, I suspect it would be reasonably possible to<br>
>> > modify it. (Modifying algae is my preference.)<br>
>> > * Use viridis (which we may then have to ship if we have older<br>
>> > versions of matplotlib to support)<br>
>> ><br>
>> > -Matt<br>
>> > _______________________________________________<br>
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<br>
</div></div><span><font color="#888888">--<br>
Erik Schnetter <<a href="mailto:schnetter@gmail.com" target="_blank">schnetter@gmail.com</a>><br>
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<br></blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr"><div><div>Michael Zingale</div><div>Associate Professor</div><div><br></div><div>Dept. of Physics & Astronomy • Stony Brook University • Stony Brook, NY 11794-3800</div><div><i>phone</i>: 631-632-8225</div><div><i>e-mail</i>: <a href="mailto:Michael.Zingale@stonybrook.edu" target="_blank">Michael.Zingale@stonybrook.edu</a></div><div><i>web</i>: <a href="https://urldefense.proofpoint.com/v2/url?u=http-3A__www.astro.sunysb.edu_mzingale&d=BQMFaQ&c=8hUWFZcy2Z-Za5rBPlktOQ&r=hgcBC3x6dKFoTrmFmMYYbKNfiHZlGLKliIidd1LwmHI&m=mc3FUZmzE_5MvO0A88Q_PNSpp6HShB9ISgB9V7DBQGQ&s=fCR1VFv1s52TIU8O81T7Uh3tyW0ec-TcVPqTmR3kZ2Y&e=" target="_blank">http://www.astro.sunysb.edu/mzingale</a></div><div>github: <a href="https://urldefense.proofpoint.com/v2/url?u=http-3A__github.com_zingale&d=BQMFaQ&c=8hUWFZcy2Z-Za5rBPlktOQ&r=hgcBC3x6dKFoTrmFmMYYbKNfiHZlGLKliIidd1LwmHI&m=mc3FUZmzE_5MvO0A88Q_PNSpp6HShB9ISgB9V7DBQGQ&s=MoD1VIzcJKUymeYGRMBxUqPe7zRwVnqEDPQie1ymJyc&e=" target="_blank">http://github.com/zingale</a></div><div><br></div></div></div></div>
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