- Seaborn Tutorial
- Seaborn - Home
- Seaborn - Introduction
- Seaborn - Environment Setup
- Importing Datasets and Libraries
- Seaborn - Figure Aesthetic
- Seaborn- Color Palette
- Seaborn - Histogram
- Seaborn - Kernel Density Estimates
- Visualizing Pairwise Relationship
- Seaborn - Plotting Categorical Data
- Distribution of Observations
- Seaborn - Statistical Estimation
- Seaborn - Plotting Wide Form Data
- Multi Panel Categorical Plots
- Seaborn - Linear Relationships
- Seaborn - Facet Grid
- Seaborn - Pair Grid
- Function Reference
- Seaborn - Function Reference
- Seaborn Useful Resources
- Seaborn - Quick Guide
- Seaborn - Useful Resources
- Seaborn - Discussion
Seaborn - Environment Setup
In this chapter, we will discuss the environment setup for Seaborn. Let us begin with the installation and understand how to get started as we move ahead.
Installing Seaborn and getting started
In this section, we will understand the steps involved in the installation of Seaborn.
Using Pip Installer
To install the latest release of Seaborn, you can use pip −
pip install seaborn
For Windows, Linux & Mac using Anaconda
Anaconda (from https://www.anaconda.com/ is a free Python distribution for SciPy stack. It is also available for Linux and Mac.
It is also possible to install the released version using conda −
conda install seaborn
To install the development version of Seaborn directly from github
https://github.com/mwaskom/seaborn"
Dependencies
Consider the following dependencies of Seaborn −
- Python 2.7 or 3.4+
- numpy
- scipy
- pandas
- matplotlib
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