
With the help of the ``Seaborn``, we can view the dynamics of the population, for
example, relative to each season during 10 years by **adding the third
variable** to our lineplot. 

**To create a 3-variable lineplot based on a DataFrame:**

To initialize a lineplot based on the ``pandas`` DataFrame you need to input at least 4 parameters: `x` `y` - columns-markers for the plot, `hue` - the third variable 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/example5.csv')

# Creating the 3-variable lineplot
sns.lineplot(x = 'x', y = 'y', hue = 'gender', data=df)

# Showing the plot
plt.show()

In this section, we will come to know about the Seaborn library and will build our first plot!\n\nWe will also learn about 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!!