将数据添加到 seaborn 联合图 [英] Add data to a seaborn jointplot

问题描述

我使用以下seaborn方法(返回和波动率是浮点数列表)得到了一个不错的KDE联合图:

I've got a nice KDE joint plot using the following seaborn method (where return and volatility are lists of floats):

data=pd.DataFrame({"return":returns,"volatility":volatilities,})
a=sns.jointplot(x="volatility", y="return", data=data, size=10)

如何在此联合图上叠加特定点?例如，如果我想在位置(0.2,0.2)的KDE聊天中叠加一个红点

How can I overlay specific dots on this joint plot? For example, if I'd like a red dot superimposed on the KDE chat at location (0.2,0.2)

推荐答案

您可以像这样从 jointplot 在关节轴上绘图:

You can plot on the joint axis from the jointplot like this:

a=sns.jointplot(x="volatility", y="return", data=data, size=10)
a.ax_joint.plot([0.2],[0.2],'ro')

顺便说一句，您也可以使用

As an aside, you can also access the x and y margin subplots with

a.ax_marg_x
a.ax_marg_y

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