However, please note that much of this work is borrowed or derivative. I waive all copyrights and related rights so that these color maps may be used freely. ![]() All original color maps on this page are released as public domain (CC0). Color Mapsīelow is a collection of color maps that you can use to apply in scientific visualization.Ī note about license. Details of this paper and the techniques used can be found on its companion page. Another related publication is " Diverging Color Maps for Scientific Visualization," which describes specifics about one particular type of color map. This work originates from the paper " Why We Use Bad Color Maps and What You Can Do About It." Details about this paper are given below. The data for both can be downloaded here. Each color map below is demonstrated on a 2D heat map and 3D surface. You can either run the code directly with the appropriate software or copy/paste scripts into your own interpreter. Where applicable, Jupyter Python notebooks containing details about how each color map is generated. Each color map also has instructions on getting these colors in the ParaView visualization application. ![]() ![]() For simplicity, the color tables are provided in many different lengths and with colors expressed in both bytes (integers between 0 and 255) and floats (decimals between 0.0 and 1.0). Each color map shows some example usage and provides color tables in CSV format so that they can readily be used in rendering system textures or entered into visualization software. The color maps are organized by how and where they are best used. More specifically, this page provides color maps that you can use while using pseudocoloring of a scalar field. This page provides advice for using colors in scientific visualization.
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