为曲线分布图下方的阴影区域着色不同颜色 [英] Color the shaded area under the curve distribution plot different colors

问题描述

我正在使用 seaborn 的 kdeplot 来绘制我的数据分布.

I'm using seaborn's kdeplot to draw the distribution of my data.

sns.kdeplot(data['numbers'], shade=True)

我想将线下的阴影区域分成三部分，分别显示高"百分位数和低"百分位数.如果我可以用三种不同的颜色为阴影区域着色，那就太理想了.

I want to divide the shaded area under the line into three parts, showing the "high" percentile and the "low" percentile. It would be ideal if I can color the shaded area with three different colors.

知道我该怎么做吗?

我希望它看起来像下面这样，我可以决定颜色之间的截止值.

I want it to look something like the below where I can decide the cutoff value between the colors.

推荐答案

所以我想出了如何去做.我会从 seaborn 图中检索 x 和 y 数组，然后使用 fill_between 在曲线下着色.

So I figured out how to do it. I would retrieve and x and y arrays from the seaborn plot, then use fill_between to color under the curve.

points = sns.kdeplot(data['numbers'], shade=True).get_lines()[0].get_data()

x = points[0]
y = points[1]

plt.fill_between(x,y, where = x >=0.75, color='r')
plt.fill_between(x,y, where = x <=0.1, color='g')
plt.fill_between(x,y, where = (x<=0.75) & (x>=0.1), color='y')

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