{"id":20709,"date":"2021-07-26T13:21:00","date_gmt":"2021-07-26T07:51:00","guid":{"rendered":"https:\/\/www.mygreatlearning.com\/blog\/seaborn-tutorial\/"},"modified":"2024-09-02T15:24:28","modified_gmt":"2024-09-02T09:54:28","slug":"seaborn-tutorial","status":"publish","type":"post","link":"https:\/\/www.mygreatlearning.com\/blog\/seaborn-tutorial\/","title":{"rendered":"Seaborn Tutorial in Python For Beginners"},"content":{"rendered":"\n

Seaborn is an amazing data visualization<\/a> library for statistical graphics plotting in Python<\/a>. It provides beautiful default styles and colour palettes to make statistical plots more attractive. It is built on the top of the matplotlib<\/a> library and also closely integrated to the data structures from pandas. In this tutorial, we shall see how to use seaborn to make a variety of plots and how we can use it along with matplotlib to make our plots more attractive.<\/p>\n\n\n\n

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Installing Seaborn and getting started<\/strong><\/h2>\n\n\n\n

Before using Seaborn, we need to install it and here I am going to show various ways of installing it on your computer.<\/p>\n\n\n\n

Using Pip Installer<\/strong><\/p>\n\n\n\n

pip is a de facto standard package-management system used to install and manage software packages written in Python. <\/p>\n\n\n\n

pip install seaborn<\/pre>\n\n\n\n
Using Anaconda<\/strong><\/p>\n\n\n\n
Anaconda is a package manager, an environment manager, and Python distribution that contains a collection of many open source packages. If you need additional packages after installing Anaconda, you can use Anaconda\u2019s package manager or conda to install those packages.<\/p>\n\n\n\n
conda install seaborn<\/pre>\n\n\n\n
You can also install the development version of Seaborn directly from GitHub by using this command in the command prompt.
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pip install git+https:\/\/github.com\/mwaskom\/seaborn.git#egg=seaborn<\/pre>\n\n\n\n
Also, make sure you have the following dependencies installed on your computer:<\/p>\n\n\n\n