How to make Seaborn histogram have skinny bars / bins

Question

How can the following skinny look in a histogram, taken from an article, be achieved based on the Python code below? The histogram bins are noticeably smaller than the plot I made at the bottom. There is also spacing between the bars and no edgecolor outline

from scipy.stats import dgamma
import matplotlib.pyplot as plt
import seaborn as sns
r = dgamma.rvs(1.1, size=1000)
sns.set_style("white")
sns.set_context("talk")
fig, ax = plt.subplots(figsize=(24,12))
sns.histplot(r, color='deepskyblue', stat='density')
sns.kdeplot(r, color='orange')
plt.title('Seaborn Histplot Example', size=24, fontweight='bold')
sns.histplot(r, color='deepskyblue', stat='density', edgecolor="black")
sns.kdeplot(r, color='orange')
plt.axvline(2.8, 0, 0.95, color='blue')
plt.axvline(2.4, 0, 0.95, color='brown', linestyle='--')
ax.tick_params(left=True, bottom=True)
plt.show()

The code above looks like this:

Asked By: develarist

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Source

Answer 1

You can supply a shrink argument to your histplot() function in seaborn. Also to get rid of the edge color, you can simply remove the edgecolor="black" that you have included in your function call above?

Does this do what you’re after?

sns.histplot(r, color='deepskyblue', stat='density', shrink=0.8)

I’ve also defined a number of bins in the attached image using bins=100

Answered By: robbo

How to make Seaborn histogram have skinny bars / bins

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