如何在海底分布图中填充曲线下的区域 [英] How to fill area under curve in seaborn distribution plot

问题描述

我有两个变量

x = [1.883830, 7.692308,8.791209, 9.262166]
y = [5.337520, 4.866562, 2.825746, 6.122449]

我想使用为 matplotlib 包装的 seaborn 拟合高斯分布.看起来 sns.distplot 函数是最好的方法，但我不知道如何填充曲线下的区域.帮助吗?

And I want to fit a Gaussian distribution using the seaborn wrapped for matplotlib. It seems like the sns.distplot function is the best way to do this, but I can't figure out how to fill in the area under the curve. Help?

fig, ax = plt.subplots(1)
sns.distplot(x,kde_kws={"shade":True}, kde=False, fit=stats.gamma, hist=None, color="red", label="2016", fit_kws={'color':'red'});
sns.distplot(y,kde_kws={"shade":True}, kde=False, fit=stats.gamma, hist=None, color="blue", label="2017", fit_kws={'color':'blue'})

我认为"shade"参数可能是 fit_kws 参数的一部分，但是我还没有做到这一点.

I think the "shade" argument could be part of the fit_kws argument but I haven't gotten this to work.

另一种选择是使用 ax.fill()?

推荐答案

是的，与 kde_kws 不同，fit_kws 不支持 shade 参数代码>.但是正如您所猜到的，我们可以使用 ax.fill_between() 填充两条曲线下方的区域.我们将不得不从 ax 对象及其x-y数据中获取直线，然后使用该数据填充曲线下的区域.这是一个例子.

Yes, the shade argument is not supported for fit_kws unlike for the kde_kws. But as you guessed, we can fill the area under the two curves using ax.fill_between(). We will have to get the lines from the ax object and their x-y data and then use that to fill the area under the curves. Here is an example.

import numpy as np
import seaborn as sns
import scipy.stats as stats
import matplotlib.pyplot as plt

x = [1.883830, 7.692308,8.791209, 9.262166]
y = [5.337520, 4.866562, 2.825746, 6.122449]
ax = sns.distplot(x, fit_kws={"color":"red"}, kde=False,
        fit=stats.gamma, hist=None, label="label 1");
ax = sns.distplot(y, fit_kws={"color":"blue"}, kde=False,
        fit=stats.gamma, hist=None, label="label 2");

# Get the two lines from the axes to generate shading
l1 = ax.lines[0]
l2 = ax.lines[1]

# Get the xy data from the lines so that we can shade
x1 = l1.get_xydata()[:,0]
y1 = l1.get_xydata()[:,1]
x2 = l2.get_xydata()[:,0]
y2 = l2.get_xydata()[:,1]
ax.fill_between(x1,y1, color="red", alpha=0.3)
ax.fill_between(x2,y2, color="blue", alpha=0.3)

plt.show(block=False)

结果如下图:

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