Difference between revisions of "Seaborn"
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|Homepage URL=https://github.com/mwaskom/seaborn | |Homepage URL=https://github.com/mwaskom/seaborn | ||
| − | | | + | |Is High Priority Project=No |
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| − | | | + | |Accepts cryptocurrency donations=No |
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|Version identifier=0.4.0-3 | |Version identifier=0.4.0-3 | ||
| − | |Version download=http://ftp.debian.org/debian/pool/main/s/seaborn/seaborn_0.4.0.orig.tar.gz | + | |Version download=http://ftp.debian.org/debian/pool/main/s/seaborn/seaborn_0.4.0.orig.tar.gz |
| − | | | + | |Test entry=No |
| + | |Last review by=Bendikker | ||
| + | |Last review date=2018/04/18 | ||
|Submitted date=2015-07-17 | |Submitted date=2015-07-17 | ||
| − | + | |Is GNU=No | |
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|Email=mwaskom@stanford.edu | |Email=mwaskom@stanford.edu | ||
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| + | {{Resource | ||
| + | |Resource audience=Python (Ref) | ||
| + | |Resource URL=https://pypi.org/project/seaborn | ||
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| + | {{Resource | ||
| + | |Resource audience=Debian (Ref) | ||
| + | |Resource URL=https://tracker.debian.org/pkg/seaborn | ||
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| + | {{Software category}} | ||
| + | {{Featured}} | ||
| + | {{Import | ||
| + | |Date=2015-07-17 | ||
| + | |Source=Debian | ||
| + | |Source link=http://packages.debian.org/sid/seaborn | ||
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Latest revision as of 03:32, 18 April 2018
Seaborn
https://github.com/mwaskom/seaborn
statistical visualization library
Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels.
Some of the features that seaborn offers are
- Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations
This is the Python 2 version of the package.
Licensing
License
Verified by
Verified on
Notes
License
Verified by
Debian: Yaroslav Halchenko <debian@onerussian.com>
Verified on
19 February 2015
Notes
License: bsd-3
License
Verified by
Debian: Yaroslav Halchenko <debian@onerussian.com>
Verified on
19 February 2015
Notes
License: expat
Leaders and contributors
| Contact(s) | Role |
|---|---|
| Michael Waskom | contact |
Resources and communication
| Audience | Resource type | URI |
|---|---|---|
| Debian (Ref) | https://tracker.debian.org/pkg/seaborn | |
| Python (Ref) | https://pypi.org/project/seaborn |
Software prerequisites
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.