dev-python/seaborn: remove ebuild
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DIST seaborn-0.8.1.tar.gz 178865 BLAKE2B 7f81e0737331edac805e88183f387ccde38d4b27d601e43462342855cdfe245cf1c721ef03ae7cd1b23cc6641e20d51f38bba6c8ffc4a9621b069c6528d0249a SHA512 05ed621c2624b4b981118f9e6100f593ab23620e8f86c82b55a298944135f3286798d5cdc6c215c134f2fdecf9b3a7631be8c5136c0dafaf1f97f05f7c6739d7
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EBUILD seaborn-0.8.1.ebuild 861 BLAKE2B 877d9f1245db09269e2421c7d467c93cf80d5eb4afca016e943edf806e8daca4b71bde2871ec99f54bf847e402fd2d2f9b1337de726b6dd06b7460811423fd3a SHA512 80ee544c6334384276a2f66fe0e4c141cf735cc279ad476558daf321d189aafd25743c317a7e9f338f557209e135dea5829af8d7e305d1d25a7aecf7cba4af5d
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MISC metadata.xml 1741 BLAKE2B c1c19f61b7964ce77784415d3d964425a53e7a15d5e3148b7ee8474603f771eb07fe7e44fd0fc0a155687831fcf11425e963ed884c982541da707bf46e393658 SHA512 ddea613b7d13e3fce33bca903896fcbc0cf8f383f423cf6362190c9159675925cb297f57307ee223b43d2b15d41634e39d8ad2535071db0771a4ac9e891265d1
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<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
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<pkgmetadata>
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<maintainer type="person">
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<email>horea.christ@gmail.com</email>
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<name>Horea Christian</name>
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</maintainer>
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<maintainer type="project">
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<email>proxy-maint@gentoo.org</email>
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<name>Proxy Maintainers</name>
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</maintainer>
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<maintainer type="project">
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<email>python@gentoo.org</email>
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<name>Python</name>
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</maintainer>
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<longdescription lang="en">
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Seaborn is a library for making attractive and informative statistical graphics
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in Python. It is built on top of matplotlib and tightly integrated with the
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PyData stack, including support for numpy and pandas data structures and
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statistical routines from scipy and statsmodels.
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Some of the features that seaborn offers are
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* Several built-in themes that improve on the default matplotlib aesthetics
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* Tools for choosing color palettes to make beautiful plots that reveal patterns in your data
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* Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data
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* Tools that fit and visualize linear regression models for different kinds of independent and dependent variables
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* Functions that visualize matrices of data and use clustering algorithms to discover structure in those matrices
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* A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate
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* High-level abstractions for structuring grids of plots that let you easily build complex visualizations
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</longdescription>
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<upstream>
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<remote-id type="pypi">seaborne</remote-id>
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<remote-id type="github">mwaskom/seaborn</remote-id>
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</upstream>
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</pkgmetadata>
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# Copyright 1999-2018 Gentoo Foundation
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# Distributed under the terms of the GNU General Public License v2
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EAPI=6
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PYTHON_COMPAT=( python{2_7,3_{4,5,6}} )
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inherit distutils-r1 virtualx
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DESCRIPTION="Statistical data visualization"
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HOMEPAGE="https://seaborn.pydata.org https://github.com/mwaskom/seaborn"
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SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
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SLOT="0"
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LICENSE="BSD"
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KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
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IUSE="test"
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RDEPEND="
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dev-python/matplotlib[${PYTHON_USEDEP}]
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dev-python/numpy[${PYTHON_USEDEP}]
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dev-python/pandas[${PYTHON_USEDEP}]
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dev-python/patsy[${PYTHON_USEDEP}]
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dev-python/statsmodels[${PYTHON_USEDEP}]
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sci-libs/scipy[${PYTHON_USEDEP}]
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"
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DEPEND="${RDEPEND}
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test? (
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dev-python/nose[${PYTHON_USEDEP}]
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)
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"
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python_test() {
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cat > matplotlibrc <<- EOF || die
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backend : Agg
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EOF
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virtx nosetests --verbosity=3 || die
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}
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