Seaborn Line Plot – Tutorial and Examples
Introduction
Seaborn is one of the most widely used data visualization libraries in Python, as an extension to Matplotlib. It offers a simple, intuitive, yet highly customizable API for data visualization.
In this tutorial, we’ll take a look at how to plot a Line Plot in Seaborn – one of the most basic types of plots.
Line Plots display numerical values on one axis, and categorical values on the other.
They can typically be used in much the same way Bar Plots can be used, though, they’re more commonly used to keep track of changes over time.
Plot a Line Plot with Seaborn
Let’s start out with the most basic form of populating data for a Line Plot, by providing a couple of lists for the X-axis and Y-axis to the lineplot() function:
import matplotlib.pyplot as plt
import seaborn as sns