A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt
15 人推荐 · 跨 14 个月 · 2015–2026
中文导读
Nathaniel Smith 与 Stefan van der Walt 在 SciPy 2015 上的分享，讲述为何 Matplotlib 要换掉默认配色方案。内容覆盖 Jet 调色板的误导性缺陷、感知均匀色彩空间的原理，以及 viridis 配色的设计全过程。
为什么 HN 推它
HN 讨论色彩感知与调色板选型时的权威参考，兼具风趣、简明与严谨，常年位列许多开发者最爱的演讲之一。
「这场风趣绝伦的 SciPy 2015 演讲，彻底说服我换成了 Parula 配色。」HN 网友原话：This hilarious SciPy2015 talk[1] convinced me to switch to the Parula color scheme.
英文原摘要（HackerTube / Claude 整理）
SciPy 2015 talk by Nathaniel Smith and Stefan van der Walt on choosing a new default colormap for Matplotlib. It covers why Jet misleads, how perceptual color spaces work, and how viridis was designed.
HN's go-to recommendation for colormap and color-perception questions; commenters call it funny, brief, clear and a favorite talk.
HN 上的提及
I just watched a Scipy conference talk/video about this - it's about finding a new default color map for matplotlib
goes into some details about physical perception and what it means for picking colors
actually spends a good ten minutes on explaining colour theory, and makes it look very simple in the process
Talk on information display for Matplotlib
i watched this pydata talk on designing colormaps for matplotlib that was pretty engrossing