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Beautiful colormaps for oceanography: ¶. This package contains colormaps for commonly-used oceanographic variables. Most of the colormaps started from matplotlib colormaps, but have now been adjusted using the viscm tool to be perceptually uniform.
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5 avr. 2024 · To install: pip install cmocean. To install with Anaconda: conda install -c conda-forge cmocean. If you want to be able to use the plots submodule, you can instead install with: pip install "cmocean[plots]" which will also install viscm and colorspacious.
使用 cmap = cmocean.tools.cmap(rgbin, N=10) 创建一个色图实例,其中 rgb 是输入数组。 所有色图的反转版本都可以通过在色图名称后面添加“_r”来获得,就像在 matplotlib 中一样
cmocean Documentation available: http://matplotlib.org/cmocean/ . We have a paper with guidelines to colormap selection for your application and a description of the cmocean colormaps: Thyng, K. M., Greene, C. A., Hetland, R. D., Zimmerle, H. M., & DiMarco, S. F. (2016).
cmocean is a package to help standardize colormaps for commonly-plotted oceanographic properties. See README.md for an overview on instructions. Table Of Contents
8 févr. 2019 · cmocean, 用于标准化常见绘图海洋变量的色彩图设置 cmocean请注意,最近更新了颜色表名称 ! ( 2016年)除了 python 外, cmocean colormaps还可以用于:对于 MATLAB,由For R: Oce oceanographic Dan Dan和克拉克
The cmocean function returns perceptually-uniform colormaps generated by Kristen Thyng. A detailed description of the cmocean project is available at http://matplotlib.org/cmocean . If you find an occasion to cite these colormaps for any reason, or if you just want some nice beach reading, check out the following paper from the journal ...
cmocean-package Beautiful Colour Maps for Oceanography Description Perceptually uniform palettes for commonly used variables in oceanography as functions taking