<meta http-equiv="Content-Type" content="text/html; charset=utf-8"><div dir="ltr">I would also be for coming up with our own colormap. That said, I think simply modifying algae won't be enough, since it is too perceptually nonlinear.</div><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Jan 6, 2016 at 10:32 AM, John ZuHone <span dir="ltr"><<a href="mailto:jzuhone@gmail.com" target="_blank">jzuhone@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">I would go for modifying algae.<br>
<div class="HOEnZb"><div class="h5"><br>
> On Jan 6, 2016, at 11:30 AM, Matthew Turk <<a href="mailto:matthewturk@gmail.com">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=OHKA8eBaTQYsHhHUTXbmp8NeZ_o6OuICAG1b94sGN_4&s=HKajrQeoWWUNn-4EPqaE6DM0e3zgN_CY8Y1HivPPzdo&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=OHKA8eBaTQYsHhHUTXbmp8NeZ_o6OuICAG1b94sGN_4&s=2dmdreBWMuYFFtmh7YWWt4XYm-XqimvZo-NWFoU_TD4&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=OHKA8eBaTQYsHhHUTXbmp8NeZ_o6OuICAG1b94sGN_4&s=BBUwavM7kw5AFpnKnPWyCX4koe4RbtTqT9Ghf7m501g&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=OHKA8eBaTQYsHhHUTXbmp8NeZ_o6OuICAG1b94sGN_4&s=FryK-FX3xTO42kb9sbBXkAqeU8cQUyTDQlFVG6UsEaQ&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>
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