如何在创建散点图矩阵时更改seaborn中的颜色优先级

Question

I am creating a scatter plot using following code:

import seaborn as sns
sns.set(style="ticks")
sns.pairplot(visualdf, hue="Target")

I have the output category in target, so I am getting 3 colours, red, blue and green. As red is 95 percent of total points, blue 4 percent and green 1 percent.

The data points are overlapping because of this.

I want to set the priority on colours that green will be on top priority followed by blue and red. So if it's overlap, it will display the top priority column.

How to do this in efficient way.

Answer 1

You can do something like this:

import seaborn as sns
sns.set(style="ticks")
visuald_otherOrder = visuald.sort_values(by=['Target'], ascending=False)
sns.pairplot(visualdf_otherOrder, hue="Target")