Python Seaborn Cheat Sheet

무료 계정 만들기

실습 문제하고 트랙하세요.

Google로 계속하기

계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.

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. We also have a Seaborn beginners tutorial and a Seaborn line plot tutorial that can help you as you learn.

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:

치트 시트를 손쉽게 활용하세요

PDF 다운로드

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.