有什么方法可以在matplotlib中使用双变量颜色图吗? [英] Is there any way to use bivariate colormaps in matplotlib?

问题描述

换句话说，我想制作一个热图(或表面图)，其中颜色根据 2 变量而变化. (具体来说，亮度=幅度，色调=相位.)是否有任何本地方法可以做到这一点? 相似情节的一些例子:

In other words, I want to make a heatmap (or surface plot) where the color varies as a function of 2 variables. (Specifically, luminance = magnitude and hue = phase.) Is there any native way to do this? Some examples of similar plots:

完全是(? )我想做什么.

更多来自天文学的示例，但具有非感知色调

推荐答案

imshow将采用NxMx3(rbg)或NxMx4(grba)数组，因此您可以手动"进行颜色映射.

imshow will take an NxMx3 (rbg) or NxMx4 (grba) array so you can do your color mapping 'by hand'.

通过将Normalize子类化以将矢量映射到定标器并巧妙地自定义颜色映射 ，您也许能够获得一点吸引力(但是我认为这将结束必须将您的尺寸之一加进仓).

You might be able to get a bit of traction by sub-classing Normalize to map your vector to a scaler and laying out a custom color map very cleverly (but I think this will end up having to bin one of your dimensions).

我已经做过这样的事情( pdf链接，请参见第页24)，但代码在MATLAB中(并藏在我的档案中的某个位置).

I have done something like this (pdf link, see figure on page 24), but the code is in MATLAB (and buried someplace in my archives).

我同意使用双变量颜色映射是有用的(主要用于表示非常密集的矢量场，无论您做什么，都可能使小溪流过). 我认为明显的扩展是让颜色映射采用复杂的参数.这将需要Normalize和Colormap的专门子类，如果我认为要实施很多工作，我会来回走下去.我怀疑如果您手动操作它，将只是api争吵的问题.

I agree a bi-variate color map would be useful (primarily for representing very dense vector fields where your kinda up the creek no matter what you do). I think the obvious extension is to let color maps take complex arguments. It would require specialized sub-classes of Normalize and Colormap and I am going back and forth on if I think it would be a lot of work to implement. I suspect if you get it working by hand it will just be a matter of api wrangling.

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