We also can **change colors** for the 3rd variable manually. To do that we need to create a kind of a *palette*. 

It is important to create a new *color palette* for the hue variable and add this *palette* as an argument in the plot function.

List of *matplotlib* colors: *blue, green, red, green/blue, yellow, purple,
white, black...*

**Let's change** ``gender`` **colors in the Tips problem!**

# 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/bilibili.csv')

# Setting colors for the hue variable
hue_colors = {'woman':'red', 'man':'black'}

# Creating the 3-variable scatterplot 
sns.scatterplot(x = 'bill', y = 'tips', hue = 'gender', data=df, palette = hue_colors)

# 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!!