dev-python/seaborn: Superseded by ::gentoo
Signed-off-by: Horea Christian <chr@chymera.eu>
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Horea Christian
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25 Sep 2020; <chymera@gentoo.org> seaborn-0.10.1.ebuild:
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dev-python/seaborn: updated scipy dependency category
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26 Aug 2020; <chymera@gentoo.org> seaborn-0.10.1.ebuild:
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dev-python/seaborn: no virtualx
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24 Aug 2020; <chymera@gentoo.org> seaborn-0.10.1.ebuild:
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dev-python/seaborn: version constraint update as per
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https://github.com/mwaskom/seaborn/issues/2213
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*seaborn-0.10.1 (23 Aug 2020)
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23 Aug 2020; <chymera@gentoo.org> +metadata.xml, +seaborn-0.10.1.ebuild:
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dev-python/seaborn: version bump 0.10.1 fix ahead of Gentoo main Bug:
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https://bugs.gentoo.org/738374
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DIST seaborn-0.10.1.tar.gz 193770 SHA256 2d1a0c9d6bd1bc3cadb0364b8f06540f51322a670cf8438d0fde1c1c7317adc0 SHA512 167d44d7d64936e15e6c9061cc6bd53a40c0a3e4d619f936ae58de745d5f5273ee8acbd470d3ac155639aac072356a2c2655dff511c4be7d041c3528ab35386f WHIRLPOOL 91c685a63bdc9bc03d518cf03d35c2121c63f8e9712ae21cf26971e0d6b4c9221221d3ed0cc75ff95af1c3bf3d203e7516f272a32d7f9239d21ffd33a1ee00f1
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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>chr@chymera.eu</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 1999-2020 Gentoo Authors
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# Distributed under the terms of the GNU General Public License v2
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EAPI=7
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PYTHON_COMPAT=( python3_{6,7,8} )
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inherit distutils-r1
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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}/${P}.tar.gz"
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LICENSE="BSD"
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SLOT="0"
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KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
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IUSE="test"
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RESTRICT="!test? ( test )"
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RDEPEND="
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<dev-python/matplotlib-3.3.0[${PYTHON_USEDEP}]
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>=dev-python/numpy-1.13.3[${PYTHON_USEDEP}]
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>=dev-python/pandas-0.22.0[${PYTHON_USEDEP}]
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dev-python/patsy[${PYTHON_USEDEP}]
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>=dev-python/scipy-1.0.1[${PYTHON_USEDEP}]
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dev-python/statsmodels[${PYTHON_USEDEP}]
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"
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DEPEND="${RDEPEND}
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test? (
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dev-python/nose[${PYTHON_USEDEP}]
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dev-python/pytest[${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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pytest -vv || die
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}
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