The problem – Seaborn distplot is deprecated

Staring with version 0.11.0 of the Python Seaborn data visualization library, distplot is a deprecated function, and will be removed in a future version.

You can see the warning if you run the code below.

import seaborn as sns
import matplotlib.pyplot as plt

sns.set_style("darkgrid")

# Load the default dataset that comes with Seaborn
tips_data = sns.load_dataset("tips")

# Inspect the first 5 rows of the data
tips_data.head()

Create a Histogram Using Seaborn

# Plot a histogram for the total bill
sns.distplot(tips_data["total_bill"], kde = False).set_title("Histogram for Total Bill")
plt.show()

You can see the warning below:

c:\program files\python39\lib\site-packages\seaborn\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)

The Solution – Use Seaborn displot

Use sns.displot() instead. Notice that the set_title() method doesn’t exist so we use plt.title() instead.

# Plot a histogram for the total bill
sns.displot(tips_data["total_bill"], kde = False)
plt.title("Histogram for Total Bill")
plt.show()

Now your basic Python Seaborn histograms are future-ready. You may also want to use sns.histplot(), an axes-level function for plotting histograms (sns.displot() is figure-level). Checkout what’s new in the latest version of Seaborn here.