seaborn 0.11.0

seaborn: statistical data visualization

Seaborn is a library for making statistical graphics in Python. It is built on top of matplotlib and closely integrated with pandas data structures.

Here is some of the functionality that seaborn offers:

• A dataset-oriented API for examining relationships between multiple variables

• Specialized support for using categorical variables to show observations or aggregate statistics

• Options for visualizing univariate or bivariate distributions and for comparing them between subsets of data

• Automatic estimation and plotting of linear regression models for different kinds dependent variables

• Convenient views onto the overall structure of complex datasets

• High-level abstractions for structuring multi-plot grids that let you easily build complex visualizations

• Concise control over matplotlib figure styling with several built-in themes

• Tools for choosing color palettes that faithfully reveal patterns in your data

Seaborn aims to make visualization a central part of exploring and understanding data. Its dataset-oriented plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots.