Learn 3-variable Scatterplot | More and More Plots

We figured out how to build a scatterplot based on 2 variables. But we can also create a plot based on 3 variables!

The 3rd variable is named hue.

An example of a 3-variable scatterplot:

To initialize a 3-variable scatterplot based on the pandas DataFrame, we need to input at least 4 parameters: x, y (columns-coordinates for the plot), hue (the third variable), and data (he DataFrame containing the data).

Look at the code below!


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# 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 scatterplot
sns.scatterplot(x = 'x', y = 'y', hue = 'gender', data= df)

# Showing the plot
plt.show()

Let's solve a problem from a common example of using 3 variables on plots.

Tips problem

You have the following data:

What was the total bill of the visitor (bill);
What tips did he/she leave (tips);
Gender of the client (gender);
Daytime client visited the cafe (daytime).

Task

Swipe to start coding

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas with pd alias.
Create a scatterplot using 'bill' column for the x-value and 'tips' column for the y-value and 'daytime' for the hue-value using df dataset.
Show the plot.

Solution

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Section 2. Chapter 3

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