如何在Seaborn Heatmap颜色栏中添加标签?

问题描述

如果我有以下数据和Seaborn热图:

If I have the following data and Seaborn Heatmap:

import pandas as pd
data = pd.DataFrame({'x':(1,2,3,4),'y':(1,2,3,4),'z':(14,15,23,2)})

sns.heatmap(data.pivot_table(index='y', columns='x', values='z'))

如何在颜色栏中添加标签?

How do I add a label to the colour bar?

推荐答案

您可以在从ax收集它之后进行设置，也可以像这样简单地在cbar_kws中传递标签.

You could set it afterwards after collecting it from an ax, or simply pass a label in cbar_kws like so.

import seaborn as sns
import pandas as pd
data = pd.DataFrame({'x':(1,2,3,4),'y':(1,2,3,4),'z':(14,15,23,2)})

sns.heatmap(data.pivot_table(index='y', columns='x', values='z'),
                             cbar_kws={'label': 'colorbar title'})

值得注意的是，cbar_kws可以方便地在颜色栏上设置其他属性，例如刻度频率或格式.

It is worth noting that cbar_kws can be handy for setting other attributes on the colorbar such as tick frequency or formatting.

这篇关于如何在Seaborn Heatmap颜色栏中添加标签?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！