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Displot Function In Seaborn

In this article, we will discuss Seaborn's displot function.

Purpose

In Seaborn, displot is a function used to visualize the distribution of a univariate (single variable) or bivariate (two variables) dataset.

Visualization can refer to creating models or diagrams that help explain abstract concepts.

import seaborn as sns

%matplotlib inline
tips = sns.load_dataset('tips')
sns.displot(tips, x="total_bill")

import seaborn as sns
%matplotlib inline
tips = sns.load_dataset('tips')
sns.displot(tips, x="total_bill", y="tip")

The KDE attribute controls whether a Kernel Density Estimate plot is added to the histogram or not.

import seaborn as sns

%matplotlib inline
tips = sns.load_dataset('tips')
sns.displot(tips['total_bill'], kde=True)

The bins attribute is used to specify the number of intervals into which the data should be divided for creating histograms.

import seaborn as sns
import matplotlib.pyplot as plt
tips = sns.load_dataset('tips')
sns.displot(tips, x="total_bill", bins=2)

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