mirror of
https://github.com/gentoo-mirror/gentoo.git
synced 2026-02-07 12:57:38 -08:00
1bfb585cc6
repoman does not yet accept the https version. This partially reverts eaaface92ee81f30a6ac66fe7acbcc42c00dc450. Bug: https://bugs.gentoo.org/552720
36 lines
1.5 KiB
XML
36 lines
1.5 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
|
|
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
|
|
<pkgmetadata>
|
|
<herd>python</herd>
|
|
<maintainer>
|
|
<email>jlec@gentoo.org</email>
|
|
<name>Justin Lecher</name>
|
|
</maintainer>
|
|
<longdescription lang="en">
|
|
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
|
|
* Functions that visualize matrices of data and use clustering algorithms to
|
|
discover structure in those matrices
|
|
* 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
|
|
</longdescription>
|
|
<upstream>
|
|
<remote-id type="pypi">seaborne</remote-id>
|
|
<remote-id type="github">mwaskom/seaborn</remote-id>
|
|
</upstream>
|
|
</pkgmetadata>
|