python - Seaborn.Regplot 中的线条代表什么

Question

我很好奇 seaborn.regplot 中突出显示的线条代表什么。我无法在文档中找到答案。

谢谢

Answer 1

实线显然是线性回归模型拟合。

然而，半透明带线描述了为估计生成的自举置信区间。来自 the docs我们可以在 ci 的参数信息中看到:

(强调我的)

ci : int in [0, 100] or None, optional

Size of the confidence interval for the regression estimate. This will be drawn using translucent bands around the regression line. The confidence interval is estimated using a bootstrap; for large datasets, it may be advisable to avoid that computation by setting this parameter to None.

因此，如果您不希望执行 Bootstrap 的开销来获取这些 CI 带，只需传递 ci=None。

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示例

import seaborn as sns
import matplotlib.pyplot as plt

sns.set_palette(sns.cubehelix_palette(8, light=.6))

tips = sns.load_dataset('tips')
x = 'total_bill'
y = 'tip'
cis = [None, 67, 99]
titles = ['No CI', '67% CI', '99% CI']

fig, axes = plt.subplots(nrows=3, sharey=True, sharex=True, figsize=(7, 10))

for ci, title, ax in zip(cis, titles, axes):
    sns.regplot(x    = x,
                y    = y,
                data = tips,
                ax   = ax,
                ci   = ci).set_title(title)

plt.tight_layout()
plt.show()