Python Seaborn is a data visualization library. It is built on top of Matplotlib. It offers a high-level interface for creating attractive statistical graphics and statistical plots.
Seaborn is particularly well-suited for creating complex visualizations with minimal code. It is a valuable tool for data exploration, analysis, and communication. Seaborn is a versatile data visualization Python library. It can visualize various data types, like time series, spatial data, and text data.
Seaborn offers many ways to make different kinds of plots and show information. Here, I'll discuss some key plotting options available in Seaborn.
- Color Palettes
- Markers and Symbols
- Color Mapping
- Styling and Aesthetics
It offers a variety of plot types to visualize different aspects of your data. Seaborn can create some of the most common types of graphs used in plots.
- Bar Plots, pair plots
- Line Plots, joint plots
- Scatter Plots, count plot
- Histogram Plots and Density Plots
- Box Plots and Violin Plots
Seaborn is a helpful tool for sharing important data in complex datasets. Here is an example of How to install the Python seaborn.