To initialize a line plot based on the ``pandas`` DataFrame, we need to input at least 3 parameters: `x` and `y` (columns-coordinates for the plot) and `data` (the DataFrame containing the data).

# Importing libraries needed
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd

# Reading the file
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/example4.csv')

# Creating the lineplot
sns.lineplot(x = 'x', y = 'y', data = df)

# Showing the plot
plt.show()

Together we will make the first dive into visualization based on a seaborn library. We will learn how to build simple plots and how to customize them. You will cope faster with tasks if you know something about pandas. Do not hesitate, and let's go!

In this section, we will learn about the seaborn library and build our first plot! We will also learn about the friendship between the pandas and the Seaborn.

We continue learning plots with Seaborn.\n\nYou will learn some more new plots and even build 3-variable plot!

Plots seem so boring without customization...\nIn this section, we will learn how to make our plots perfectly styled!!

First Dive into seaborn Visualization

Lineplot

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First Dive into seaborn Visualization

Lineplot

Завдання