Python 如何为 Seaborn Heatmap 颜色条添加标签？
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How to add a label to Seaborn Heatmap color bar?
提问by ishido
If I have the following data and Seaborn Heatmap:
如果我有以下数据和 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?
如何向颜色条添加标签？
回答by miradulo
You could set it afterwards after collecting it from an ax, or simply pass a label in cbar_kwslike so.
你可以在从 an 收集它之后设置它ax，或者cbar_kws像这样简单地传递一个标签。
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'})
It is worth noting that cbar_kwscan be handy for setting other attributes on the colorbar such as tick frequency or formatting.
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。
回答by kezzos
You can use:
您可以使用：
ax = sns.heatmap(data.pivot_table(index='y', columns='x', values='z'))
ax.collections[0].colorbar.set_label("Hello")
