Introduction

seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for creating informative and attractive statistical graphics. Seaborn is built on top of matplotlib and is tightly integrated with the data structures from pandas. It can be used to create many types of plots, including categorical plots, scatter plots, regression plots, and heatmaps.

Installation

pip install seaborn

Example 1: Scatter Plot

import seaborn as sns
import matplotlib.pyplot as plt

df = sns.load_dataset('iris')
sns.scatterplot(x='sepal_length', y='petal_length', data=df, hue='species')
plt.show()

Example 2: Categorical Plot

import seaborn as sns
import matplotlib.pyplot as plt

df = sns.load_dataset('titanic')
sns.catplot(x='class', y='fare', hue='sex', data=df, kind='bar')
plt.show()

Introduction

Installation

Example 1: Scatter Plot

Example 2: Categorical Plot

Example 3: Heatmap