loongson/pypi/: seaborn-0.11.2 metadata and description
seaborn: statistical data visualization
| author | Michael Waskom |
| author_email | mwaskom@gmail.com |
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| download_url | https://github.com/mwaskom/seaborn/ |
| license | BSD (3-clause) |
| maintainer | Michael Waskom |
| maintainer_email | mwaskom@gmail.com |
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| requires_python | >=3.6 |
Because this project isn't in the mirror_whitelist,
no releases from root/pypi are included.
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seaborn-0.11.2-py3-none-any.whl
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seaborn-0.11.2.tar.gz
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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
- Convenient views onto the overall structure of complex datasets
- 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 of dependent variables
- 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 mappings and statistical aggregations to produce informative plots.