In this paper we propose a new method of three-dimensional data plotting based on the use of mixed hue palettes, which makes it possible to distinguish simultaneously both huge and subtle changes in the value of the presented quantity at the same plot. This method called "braid plot" is based on the alternating use of multiple palettes of colors (a kind of interlacing), which greatly increases the sharpness of the graph and allows to define areas of equal values more accurately than using traditional graphs with a single palette or contour plot. We present here an algorithm of preparing braid plot composed of any number of initial color sets. As a result of using this type of plot it was possible to detect e.g. weak perturbation effects or subtle oscillations of the spectral density function, which is very hard to observe using classical plots.

中文翻译：

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辫状图-一种混合调色板的绘制方法，作为轮廓图的扩展。

在本文中，我们提出了一种基于混合色相调色板的三维数据绘图新方法，该方法可以同时分辨同一绘图中所显示数量值的巨大变化和细微变化。这种称为“辫子图”的方法基于多种颜色调色板的交替使用（一种隔行扫描），与使用单个图的传统图相比，这种方法大大提高了图的清晰度，并允许更准确地定义相等值的区域。调色板或轮廓图。我们在这里介绍一种准备由任意数量的初始颜色集组成的辫状图的算法。由于使用了这种类型的图，因此可以检测到例如微弱的摄动效应或光谱密度函数的细微振荡，