[FIXED] How to draw distribution plot for discrete variables in seaborn

Issue

When I draw displot for discrete variables, the distribution might not be as what I think. For example.

We can find that there are crevices in the barplot so that the curve in kdeplot is "lower" in y axis.

In my work, it was even worse:

I think it may because the "width" or "weight" was not 1 for each bar. But I didn't find any parameter that can justify it.

I'd like to draw such curve (It should be more smooth)

Solution

If the problem is that there are some emptry bins in the histogram, it probably makes sense to specify the bins to match the data. In this case, use bins=np.arange(0,16) to get the bins for all integers in the data.

import numpy as np; np.random.seed(1)
import matplotlib.pyplot as plt
import seaborn as sns

n = np.random.randint(0,15,10000)
sns.distplot(n, bins=np.arange(0,16), hist_kws=dict(ec="k"))

plt.show()

Answered By - ImportanceOfBeingErnest