loongson/pypi/: seaborn-0.12.0b2 metadata and description
seaborn: statistical data visualization
| author | Michael Waskom |
| author_email | mwaskom@gmail.com |
| classifiers |
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| download_url | https://github.com/mwaskom/seaborn/ |
| license | BSD (3-clause) |
| maintainer | Michael Waskom |
| maintainer_email | mwaskom@gmail.com |
| provides_extras | all |
| requires_dist |
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| requires_python | >=3.7 |
Because this project isn't in the mirror_whitelist,
no releases from root/pypi are included.
| File | Tox results | History |
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seaborn-0.12.0b2-py3-none-any.whl
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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
- Flexible data aggregation with automatic estimation and plotting of error bars
- Multiple options for visualizing univariate or bivariate distributions
- Estimation and plotting of linear regression models to reveal trends
- Tools for building figures with multidimensional views onto complex dataset structure
- 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.