CODEWITHSUNDEEP
pythonseabornhistogramvisualization
develarist
develarist

Reputation: 1365

How to make Seaborn histogram have skinny bars / bins

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

enter image description here

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:

enter image description here

Upvotes: 2

Views: 5112

Answers (1)

robbo
robbo

Reputation: 545

enter image description hereYou 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

Upvotes: 2

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