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--- /dev/null
+<?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>
--- /dev/null
+# Copyright 1999-2015 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+# $Header: /var/cvsroot/gentoo-x86/dev-python/seaborn/seaborn-0.5.1.ebuild,v 1.1 2015/03/19 09:40:26 jlec Exp $
+
+EAPI=5
+
+PYTHON_COMPAT=( python2_7 python3_{3,4} )
+
+inherit distutils-r1 virtualx
+
+DESCRIPTION="Statistical data visualization"
+HOMEPAGE="http://stanford.edu/~mwaskom/software/seaborn/"
+SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
+
+SLOT="0"
+LICENSE="BSD"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="test"
+
+RDEPEND="
+ dev-python/matplotlib[${PYTHON_USEDEP}]
+ dev-python/numpy[${PYTHON_USEDEP}]
+ dev-python/pandas[${PYTHON_USEDEP}]
+ dev-python/patsy[${PYTHON_USEDEP}]
+ dev-python/statsmodels[${PYTHON_USEDEP}]
+ sci-libs/scipy[${PYTHON_USEDEP}]
+"
+DEPEND="${RDEPEND}
+ test? (
+ dev-python/nose[${PYTHON_USEDEP}]
+ )
+"
+
+python_test() {
+ VIRTUALX_COMMAND="nosetests"
+ virtualmake --verbosity=3
+}