matplotlib的颜色选择可以很好地打印 [英] Color selection for matplotlib that prints well

问题描述

我正在使用pandas和matplotlib生成带有很多条形图的条形图.

I am using pandas and matplotlib to generate bar-graphs with lots of bars.

我知道如何在选定的颜色列表中循环显示(

I know how to cycle through a list of selected colors (How to give a pandas/matplotlib bar graph custom colors). The question is what colors to select so that my graph prints nicely on a paper (it is for a research paper). What I am most interested in is sufficient contrast between the columns and a selection of colors that looks pleasant. I would like to have multiple colors instead of gray-scale or single-hue colorschemes.

有没有预定的方案可供人们选择?

Are there any predetermined schemes to select from that people use?

推荐答案

在1.5版中，matplotlib将附带4种经过合理设计的新颜色图:

In 1.5 matplotlib will ship with 4 new rationally designed color maps:

• 'viridis'(将是2.0中的默认颜色图)
• 'magma'
• 'plasma'
• 'inferno'.

• 'viridis' (will be default color map in 2.0)
• 'magma'
• 'plasma'
• 'inferno'.

https://youtu.be/xAoljeRJ3lU 中介绍了设计这些颜色图的过程.

The process of designing these color maps is presented in https://youtu.be/xAoljeRJ3lU .

为此过程开发的工具可以由pip install viscm

The tool developed for this process can be installed by pip install viscm

我建议使用cubehelix颜色图.它是设计的，具有正确的颜色和灰色亮度排序，规模

I would suggest the cubehelix color map. It is designed to have correct luminosity ordering in both color and gray-scale

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