A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt

What people said

azepoi · 2020-06 · Strong recommendation

I'm impressed by the other mentioned picker, for HCL this time [LINK] This tool is also useful [LINK] I have to mention this fantastic presentation on colormaps [VIDEO] (A Better Default Colormap for Matplotlib, SciPy 2015, Nathaniel Smith and Stéfan van der Walt). It is about perceptually uniform colormaps. [LINK]

Read the original HN comment ↗

neilpanchal · 2019-10 · Strong recommendation

I built similar perceptually uniform color library: [LINK] The sad part is that we have all these colors available in the physical world but representing in sRGB (or even Adobe RGB or DCI P3) space takes away all the fun. We have a narrow space to work within and it poses limits to what you can do. Vast majority of monitors in the world are barely capable of representing sRGB space, and even if they are, calibration is another issue. You can employ all kinds of science in representing proper colors but if the end user's calibration is not good, all bets are off. Colors are a problem for interface design (and accessibility), it becomes a real challenge when dealing with quantitative data and build perceptually uniform colormaps with accessibility considerations, here is an amazing presentation of Matplotlib's new colormaps: [VIDEO]

Read the original HN comment ↗

kbd · 2019-08 · Strong recommendation

If you have any interest in this topic, I’d strongly recommend watching this presentation at SciPy 2015 where Viridis and Inferno were first presented, when the developers of Matplotlib were coming up with a new default colormap to replace Jet: [VIDEO] I'd love to see Turbo analyzed in the same fashion.

Read the original HN comment ↗