sns.distplot is plotting negative values for a only positive variable

Question

Hello, I'm trying to plot the distribution of a variable in Python using the sns.distplot function.

For example, I create variable x as a random variable, with only positive values.

import pandas as pd
x = np.random.random(100)

I then use the sns.distplot function and I get the following graph:

As you'll be able to see, it looks like there are negative values (-0.25). I check if there are negative values by doing the following:

x < 0
>>> array([False, False, False, False, False, False, False, False, False,
   False, False, False, False, False, False, False, False, False,
   False, False, False, False, False, False, False, False, False,
   False, False, False, False, False, False, False, False, False,
   False, False, False, False, False, False, False, False, False,
   False, False, False, False, False, False, False, False, False,
   False, False, False, False, False, False, False, False, False,
   False, False, False, False, False, False, False, False, False,
   False, False, False, False, False, False, False, False, False,
   False, False, False, False, False, False, False, False, False,
   False, False, False, False, False, False, False, False, False, False],       dtype=bool)

I don't understand why x seems to have negative values in the plot. Does anyone knows why this is happening? I tried to look if I found more specifications about the sns.ditplot function, but I couldn't find anything that enlightened me.

Thank you!

Answer 1

As you can see the plot only has values from zero. If you do not want to see the negative value in the plot you can set the xlim parameter.

import seaborn as sns
import numpy as np

x = np.random.random(100)
%matplotlib inline
sns.distplot(x).set(xlim=(0))

which gives