How to add a label to Seaborn Heatmap color bar?

2019-03-23 17:22发布

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'))

How do I add a label to the colour bar?

2条回答
时光不老,我们不散
2楼-- · 2019-03-23 17:55

You can use:

ax = sns.heatmap(data.pivot_table(index='y', columns='x', values='z'))
ax.collections[0].colorbar.set_label("Hello")
查看更多
一纸荒年 Trace。
3楼-- · 2019-03-23 18:09

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'})

enter image description here

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

查看更多
登录 后发表回答