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- Metadata-Version: 2.1
- Name: seaborn
- Version: 0.13.0
- Summary: Statistical data visualization
- Author-email: Michael Waskom <mwaskom@gmail.com>
- Requires-Python: >=3.8
- Description-Content-Type: text/markdown
- Classifier: Intended Audience :: Science/Research
- Classifier: Programming Language :: Python :: 3.8
- Classifier: Programming Language :: Python :: 3.9
- Classifier: Programming Language :: Python :: 3.10
- Classifier: Programming Language :: Python :: 3.11
- Classifier: License :: OSI Approved :: BSD License
- Classifier: Topic :: Scientific/Engineering :: Visualization
- Classifier: Topic :: Multimedia :: Graphics
- Classifier: Operating System :: OS Independent
- Classifier: Framework :: Matplotlib
- Requires-Dist: numpy>=1.20,!=1.24.0
- Requires-Dist: pandas>=1.2
- Requires-Dist: matplotlib>=3.3,!=3.6.1
- Requires-Dist: pytest ; extra == "dev"
- Requires-Dist: pytest-cov ; extra == "dev"
- Requires-Dist: pytest-xdist ; extra == "dev"
- Requires-Dist: flake8 ; extra == "dev"
- Requires-Dist: mypy ; extra == "dev"
- Requires-Dist: pandas-stubs ; extra == "dev"
- Requires-Dist: pre-commit ; extra == "dev"
- Requires-Dist: flit ; extra == "dev"
- Requires-Dist: numpydoc ; extra == "docs"
- Requires-Dist: nbconvert ; extra == "docs"
- Requires-Dist: ipykernel ; extra == "docs"
- Requires-Dist: sphinx<6.0.0 ; extra == "docs"
- Requires-Dist: sphinx-copybutton ; extra == "docs"
- Requires-Dist: sphinx-issues ; extra == "docs"
- Requires-Dist: sphinx-design ; extra == "docs"
- Requires-Dist: pyyaml ; extra == "docs"
- Requires-Dist: pydata_sphinx_theme==0.10.0rc2 ; extra == "docs"
- Requires-Dist: scipy>=1.7 ; extra == "stats"
- Requires-Dist: statsmodels>=0.12 ; extra == "stats"
- Project-URL: Docs, http://seaborn.pydata.org
- Project-URL: Source, https://github.com/mwaskom/seaborn
- Provides-Extra: dev
- Provides-Extra: docs
- Provides-Extra: stats
- <img src="https://raw.githubusercontent.com/mwaskom/seaborn/master/doc/_static/logo-wide-lightbg.svg"><br>
- --------------------------------------
- seaborn: statistical data visualization
- =======================================
- [](https://pypi.org/project/seaborn/)
- [](https://github.com/mwaskom/seaborn/blob/master/LICENSE)
- [](https://doi.org/10.21105/joss.03021)
- [](https://github.com/mwaskom/seaborn/actions)
- [](https://codecov.io/gh/mwaskom/seaborn)
- Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.
- Documentation
- -------------
- Online documentation is available at [seaborn.pydata.org](https://seaborn.pydata.org).
- The docs include a [tutorial](https://seaborn.pydata.org/tutorial.html), [example gallery](https://seaborn.pydata.org/examples/index.html), [API reference](https://seaborn.pydata.org/api.html), [FAQ](https://seaborn.pydata.org/faq), and other useful information.
- To build the documentation locally, please refer to [`doc/README.md`](doc/README.md).
- Dependencies
- ------------
- Seaborn supports Python 3.8+.
- Installation requires [numpy](https://numpy.org/), [pandas](https://pandas.pydata.org/), and [matplotlib](https://matplotlib.org/). Some advanced statistical functionality requires [scipy](https://www.scipy.org/) and/or [statsmodels](https://www.statsmodels.org/).
- Installation
- ------------
- The latest stable release (and required dependencies) can be installed from PyPI:
- pip install seaborn
- It is also possible to include optional statistical dependencies:
- pip install seaborn[stats]
- Seaborn can also be installed with conda:
- conda install seaborn
- Note that the main anaconda repository lags PyPI in adding new releases, but conda-forge (`-c conda-forge`) typically updates quickly.
- Citing
- ------
- A paper describing seaborn has been published in the [Journal of Open Source Software](https://joss.theoj.org/papers/10.21105/joss.03021). The paper provides an introduction to the key features of the library, and it can be used as a citation if seaborn proves integral to a scientific publication.
- Testing
- -------
- Testing seaborn requires installing additional dependencies; they can be installed with the `dev` extra (e.g., `pip install .[dev]`).
- To test the code, run `make test` in the source directory. This will exercise the unit tests (using [pytest](https://docs.pytest.org/)) and generate a coverage report.
- Code style is enforced with `flake8` using the settings in the [`setup.cfg`](./setup.cfg) file. Run `make lint` to check. Alternately, you can use `pre-commit` to automatically run lint checks on any files you are committing: just run `pre-commit install` to set it up, and then commit as usual going forward.
- Development
- -----------
- Seaborn development takes place on Github: https://github.com/mwaskom/seaborn
- Please submit bugs that you encounter to the [issue tracker](https://github.com/mwaskom/seaborn/issues) with a reproducible example demonstrating the problem. Questions about usage are more at home on StackOverflow, where there is a [seaborn tag](https://stackoverflow.com/questions/tagged/seaborn).
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