Skip to main content

seaborn: statistical data visualization

Project description

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.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

seaborn-0.12.0b0.tar.gz (1.7 MB view hashes)

Uploaded Source

Built Distribution

seaborn-0.12.0b0-py3-none-any.whl (385.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page