为什么matplotlib的带凹口的箱线图会自身折回? [英] Why is matplotlib's notched boxplot folding back on itself?

问题描述

我尝试使用matplotlib制作一个有缺口的箱形图，但发现有缺口的箱形往往会过度延伸，然后自身折回去.当我制作常规箱线图时不会发生这种情况.

I tried to make a notched boxplot using matplotlib, but found the notched box tends to overextend and then fold back on itself. This does not happen when I make a regular boxplot.

这可以通过以下代码以及生成的结果图看到:

This can be seen with the following code and the resulting plot that gets generated:

import matplotlib.pyplot as plt

data = [[-0.056, -0.037, 0.010, 0.077, 0.082],
        [-0.014, 0.021, 0.051, 0.073, 0.079]]

# Set 2 plots with vertical layout (1 on top of other)
fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True)

ax1.boxplot(data, 1) #Notched boxplot
ax2.boxplot(data, 0) #Standard boxplot

ax1.set_ylim([-0.1, 0.1])
ax2.set_ylim([-0.1, 0.1])

plt.show()

有人知道我在做什么错吗，我该如何解决?

Does anyone know what I'm doing wrong and how I can fix this?

推荐答案

这意味着数据的分布是倾斜的.如果两个框的缺口不重叠，则它们的中位数不同的置信度为 95%.

It means that the distribution of the data is skewed. If two boxes' notches do not overlap, there is 95% confidence their medians differ.

Notch会在中位数附近显示置信区间，该置信区间通常基于:

The Notch displays the confidence interval around the median which is normally based on :

也许，您可以更改 bootstrap a> boxplot 的参数以收紧中位数的置信区间.

Maybe, you can alter the bootstrap parameter of the boxplot to tighten up the median's confidence interval.

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