使用Pandas数据框注释Seaborn条形图中的点 [英] Annotate points in Seaborn stripplot with Pandas dataframe

问题描述

是否可以在seaborn的带状图中注释每个点?我的数据在pandas数据框中.我意识到注释适用于matplotlib，但在这种情况下我没有发现它有效.

Is it possible to annotate each point on a stripplot in seaborn? My data is in the pandas dataframe. I realize that annotate works for matplotlib but I have not found it to work in this case.

推荐答案

您只需要返回axes对象.下面的示例改编自seaborn文档此处:

You just need to return the axes object. The example below is adapted from the seaborn docs here:

import seaborn as sns

sns.set_style("whitegrid")
tips = sns.load_dataset("tips")
sat_mean = tips.loc[tips['day'] == 'Sat']['total_bill'].mean()

ax = sns.stripplot(x="day", y="total_bill", data=tips)
ax.annotate("Saturday\nMean",
            xy=(2, sat_mean), xycoords='data',
            xytext=(.5, .5), textcoords='axes fraction',
            horizontalalignment="center",
            arrowprops=dict(arrowstyle="->",
                            connectionstyle="arc3"),
            bbox=dict(boxstyle="round", fc="w"),
            )
#ax.get_figure().savefig('tips_annotation.png')

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