Seaborn Library

Seaborn Library

• Seaborn is a Python data visualization library based on matplotlib. It provides a high‒level interface for drawing attractive and informative statistical graphics.

• Seaborn is built on top of matplotlib and integrates closely with Pandas data structures.

• Seaborn is particularly well suited for working with complex data sets.

Features of Seaborn

1) Data set oriented functionalities: Seaborn's functions are designed to work directly with datasets, making it easy to visualize relationships between variables without extensive data manipulation.

2) Statistical estimation and inference: It can automatically compute and display busque summary statistics into its plots, making it easy to visualize relationship among the data items.

3) Integration with Pandas DataFrames: Seaborn seamlessly integrates with Pandas DataFrames, allowing users to work directly with their data structures. This makes it convenient to visualize and analyze data stored in DataFrames.

4) Categorical plotting : Seaborn provides specialized functions for visualizing categorical data, making it easy to create plots that show the distribution of categories or compare different  categories.

5) Theme and style options: Seaborn provides built‒in themes and styles to quickly change the overall look and feel of your plots.

6) Customizable aesthetics: Seaborn offers extensive control over plot aesthetics, such geres as colors, styles and markers, allowing you to create visually appealing and Toy to informative plots.

7) Multi‒plot grids: Seaborn makes it easy to create grids of plots for comparing multiple variables or groups.

Difference between Matplotlib and Seaborn

Matplotlib

1.It is used for making basic graphs.

2.It uses complex and lengthy syntax.

3.Matplotlib plots various graphs using Pandas and Numpy.

4.Matplotlib follows a more low‒level approach, requiring users to write more code to create visualizations.

5.Datasets are visualised with the help of bargraphs, histograms, piecharts, scatter plots, lines and so on.

Seaborn

1.Seaborn is a visualization library that is built on top of Matplotlib.

2.It has comparatively simpler syntax.

3.Seaborn makes use of Matplotlib, Pandas and Numpy.

4.Seaborn, on the other hand, focuses on simplicity and ease of use. It provides a higher‒level interface that simplifies the process of creating appealing plots, making it more beginner‒friendly.

5.Seaborn contains a number of patterns and plots for data visualization. It uses fascinating themes. It helps in compiling whole data into a single plot. It also provides distribution of data.

Installation

•  Before installing the Seaborn, it is necessary to install Python and pip. Using Command prompt we can issue following command to install seaborn

pip install seaborn

•  Anaconda is a free Distribution package for Python. If you have already installed Anaconda on your PC, then the seaborn package comes by default with this distribution and then there is no need to install it.

Dependencies

• Following are the dependencies of Python seaborn packages

■ Python 3.4+

■ numpy

■ scipy

■ matplotlib

■ pandas

Import

• For importing the seaborn library following code must be written at the beginning of your  Python code

import seaborn as sns