Skip to main content

Python Seaborn Cheat Sheet

This Python Seaborn cheat sheet with code samples guides you through the data visualization library that is based on Matplotlib.
Jul 2021  · 2 min read

You most probably will know by now that data storytelling, accomplished by data visualization, amongst other things, is an essential skill for every data scientist: after you have turned the raw data into understanding, insights and knowledge, you also need to communicate these findings effectively to your audience.

For most beginners, the first Python data visualization library that they use is, naturally, Matplotlib. It is a Python 2D plotting library that enables users to make publication-quality figures. It is quite an extensive library where a cheat sheet will definitely come in handy when you're learning, but when you manage to use this library effectively, you'll also be able to get insights and work better with other packages, such as Pandas, that intend to build more plotting integration with Matplotlib as time goes on.

Another package that you'll be able to tackle easily is Seaborn, the statistical data visualization library of Python.

DataCamp has created a Seaborn cheat sheet for those who are ready to get started with this data visualization library with the help of a handy one-page reference.

You'll see that this cheat sheet presents you with the five basic steps that you can go through to make beautiful statistical graphs in Python.

Check out the infographic by clicking on the button below:

Seaborn Python cheat sheet

Have this cheat sheet at your fingertips

Download PDF

This cheat sheet will walk you through the five steps that you need to go through to make these plots: you'll see how you can load in data, set the figure aesthetics, plot, customize and eventually, show or save your plot with Seaborn.

What might have looked difficult before will definitely be more clear once you start using this cheat sheet! Use it in combination with the Seaborn Gallery, the documentation, and our Seaborn tutorial.

Also, don't miss out on our other cheat sheets for data science that cover SciPy, NumPy, Scikit-Learn, Bokeh, Pandas and the Python basics.

Learn more about Seaborn

Introduction to Data Visualization with Seaborn

Intermediate Data Visualization with Seaborn

Related
Data Science Concept Vector Image

How to Become a Data Scientist in 8 Steps

Find out everything you need to know about becoming a data scientist, and find out whether it’s the right career for you!
Jose Jorge Rodriguez Salgado's photo

Jose Jorge Rodriguez Salgado

12 min

Data Engineering Vector Image

How to Become a Data Engineer in 2023: 5 Steps for Career Success

Discover how to become a data engineer and learn the essential skills. Develop your knowledge and portfolio to prepare for the data engineer interview.
Javier Canales Luna 's photo

Javier Canales Luna

17 min

How to Become a Data Analyst in 2023: 5 Steps to Start Your Career

Learn how to become a data analyst and discover everything you need to know about launching your career, including the skills you need and how to learn them.
Elena Kosourova 's photo

Elena Kosourova

18 min

DC Data in Soccer Infographic.png

How Data Science is Changing Soccer

With the Fifa 2022 World Cup upon us, learn about the most widely used data science use-cases in soccer.
Richie Cotton's photo

Richie Cotton

Sports Analytics: How Different Sports Use Data Analytics

Discover how sports analytics works and how different sports use data to provide meaningful insights. Plus, discover what it takes to become a sports data analyst.
Kurtis Pykes 's photo

Kurtis Pykes

13 min

The 23 Top Python Interview Questions & Answers

Essential Python interview questions with examples for job seekers, final-year students, and data professionals.
Abid Ali Awan's photo

Abid Ali Awan

22 min

See MoreSee More