Q:

Why is matplotlib's notched boxplot folding back on itself?

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. 
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()

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

A:

It means that the distribution of the data is skewed.
If two boxes' notches do not overlap, there is 95% confidence their medians differ.
The Notch displays the confidence interval around the median which is normally based on : 

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

