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Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Seaborn helps you explore and understand your data. Its plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots. Its dataset-oriented, declarative API lets you focus on what the different elements of your plots mean, rather than on the details of how to draw them. Behind the scenes, seaborn uses matplotlib to draw its plots. For interactive work, it’s recommended to use a Jupyter/IPython interface in matplotlib mode, or else you’ll have to call matplotlib.pyplot.show() when you want to see the plot.
Features
- Seaborn is a library for making statistical graphics in Python
- It builds on top of matplotlib and integrates closely with pandas data structures
- Seaborn makes it easy to switch between different visual representations by using a consistent dataset-oriented API
- When statistical values are estimated, seaborn will use bootstrapping to compute confidence intervals
- Statistical estimation in seaborn goes beyond descriptive statistics
- Some seaborn functions combine multiple kinds of plots to quickly give informative summaries of a dataset
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