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dev-python/pandas: remove old
Signed-off-by: Virgil Dupras <vdupras@gentoo.org> Package-Manager: Portage-2.3.62, Repoman-2.3.11
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Virgil Dupras
@@ -1,4 +1,3 @@
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DIST pandas-0.19.1.tar.gz 8360233 BLAKE2B 82611ca1a3e3169ac2d084f4dcd9c4d4d74e9e9c9913a41acad48ae68a208a884dfd877445a7d658a7ff098ef383cedae7e79a4900baa8d56c032ce9aaad96eb SHA512 6451990a7fae8c6db8ab0b014a13b4f1828754d3998f13c17b111f891fb9fd23f8e09b907623096dfa55668c42298eee1373210a9fddb95f56dd7d552b964e6f
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DIST pandas-0.23.0.tar.gz 13092442 BLAKE2B e11ae088c9a4be481f516d83797b1b1d5e9c82f7d9fa98f1ea65e3405e33c99e1e1cf7a35f56a21d9dc922c1d0828b4947d9c6189a5f76ad5c1b28618293f9da SHA512 c9dc7bf843e3392b8b1b4d46c6aa6dd12435aa974abc875574a7a8794abe6ea531fa92d8a635153839fd3fef9059d96a4512831b86b1fb6fb69588c8b29a95d6
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DIST pandas-0.23.4.tar.gz 10490077 BLAKE2B 28a78860e0aa5de8def7bb529fc98b9121a516b7fd7620e31e000ae14217165e6677ce26b56da0b9c603930ab1304725c644426a135d8f9b2a84921b88f3d23d SHA512 0c89db820a49e0cfb9764e64589ff9af819f9a53c01bd0254cd1b6dbd1e9fd452b2ff7c7330ede7623c7576589113e831a19a57c735562b55f90506df15805b9
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DIST pandas-0.24.2.tar.gz 11837693 BLAKE2B 3762e94554a3ae3c803c9a412c5c551c15a9fbf15cb05633f7d1b0ccbfddc646f68f0306666e688a83a4495b0537cea2fec671157f5a63aaa5f9cad6b791261e SHA512 0795c6bb8a47a511853558ea59d371b4540ec175f213cfba4ad2361d6481fea5d3f7074bb4961c32f2f0080a72d7436a9b3706f5cc692074f98d83bfc587fd15
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@@ -1,172 +0,0 @@
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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=( python2_7 python3_{5,6} )
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PYTHON_REQ_USE="threads(+)"
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VIRTUALX_REQUIRED="manual"
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inherit distutils-r1 eutils flag-o-matic virtualx
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DESCRIPTION="Powerful data structures for data analysis and statistics"
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HOMEPAGE="http://pandas.pydata.org/"
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SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P/_/}.tar.gz"
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SLOT="0"
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LICENSE="BSD"
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KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
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IUSE="doc full-support minimal test X"
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RECOMMENDED_DEPEND="
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dev-python/bottleneck[${PYTHON_USEDEP}]
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>=dev-python/numexpr-2.1[${PYTHON_USEDEP}]
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"
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OPTIONAL_DEPEND="
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dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
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dev-python/blosc[${PYTHON_USEDEP}]
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dev-python/boto[${PYTHON_USEDEP}]
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>=dev-python/google-api-python-client-1.2.0[$(python_gen_usedep python2_7 pypy)]
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|| (
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dev-python/html5lib[${PYTHON_USEDEP}]
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dev-python/lxml[${PYTHON_USEDEP}]
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)
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dev-python/httplib2[${PYTHON_USEDEP}]
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dev-python/jinja[${PYTHON_USEDEP}]
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dev-python/matplotlib[${PYTHON_USEDEP}]
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|| (
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>=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
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dev-python/xlsxwriter[${PYTHON_USEDEP}]
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)
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>=dev-python/pytables-3.2.1[${PYTHON_USEDEP}]
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dev-python/python-gflags[$(python_gen_usedep python2_7 pypy)]
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dev-python/rpy[${PYTHON_USEDEP}]
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dev-python/setuptools[${PYTHON_USEDEP}]
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dev-python/statsmodels[${PYTHON_USEDEP}]
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>=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}]
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dev-python/xarray[${PYTHON_USEDEP}]
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dev-python/xlrd[${PYTHON_USEDEP}]
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dev-python/xlwt[${PYTHON_USEDEP}]
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sci-libs/scipy[${PYTHON_USEDEP}]
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X? (
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|| (
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dev-python/PyQt5[${PYTHON_USEDEP}]
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dev-python/pygtk[$(python_gen_usedep python2_7)]
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)
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|| (
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x11-misc/xclip
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x11-misc/xsel
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)
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)
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"
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COMMON_DEPEND="
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>dev-python/numpy-1.7[${PYTHON_USEDEP}]
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>=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}]
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dev-python/pytz[${PYTHON_USEDEP}]
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"
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DEPEND="${COMMON_DEPEND}
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dev-python/setuptools[${PYTHON_USEDEP}]
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>=dev-python/cython-0.23[${PYTHON_USEDEP}]
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doc? (
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${VIRTUALX_DEPEND}
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app-text/pandoc
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dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
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dev-python/html5lib[${PYTHON_USEDEP}]
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dev-python/ipython[${PYTHON_USEDEP}]
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dev-python/lxml[${PYTHON_USEDEP}]
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dev-python/matplotlib[${PYTHON_USEDEP}]
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dev-python/nbsphinx[${PYTHON_USEDEP}]
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>=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
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>=dev-python/pytables-3.0.0[${PYTHON_USEDEP}]
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dev-python/pytz[${PYTHON_USEDEP}]
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dev-python/rpy[${PYTHON_USEDEP}]
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>=dev-python/sphinx-1.2.1[${PYTHON_USEDEP}]
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dev-python/xlrd[${PYTHON_USEDEP}]
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dev-python/xlwt[${PYTHON_USEDEP}]
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sci-libs/scipy[${PYTHON_USEDEP}]
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x11-misc/xclip
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)
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test? (
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${VIRTUALX_DEPEND}
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${RECOMMENDED_DEPEND}
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${OPTIONAL_DEPEND}
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dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
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dev-python/nose[${PYTHON_USEDEP}]
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dev-python/pymysql[${PYTHON_USEDEP}]
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dev-python/psycopg:2[${PYTHON_USEDEP}]
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x11-misc/xclip
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x11-misc/xsel
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)
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"
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# dev-python/statsmodels invokes a circular dep
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# hence rm from doc? ( ), again
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RDEPEND="${COMMON_DEPEND}
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!<dev-python/numexpr-2.1[${PYTHON_USEDEP}]
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!~dev-python/openpyxl-1.9.0[${PYTHON_USEDEP}]
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!minimal? ( ${RECOMMENDED_DEPEND} )
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full-support? ( ${OPTIONAL_DEPEND} )
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"
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S="${WORKDIR}/${P/_/}"
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python_prepare_all() {
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# Prevent un-needed download during build
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sed -e "/^ 'sphinx.ext.intersphinx',/d" \
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-i doc/source/conf.py || die
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# https://github.com/pydata/pandas/issues/11299
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sed -e 's:testOdArray:disable:g' \
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-i pandas/tests/io/json/test_ujson.py || die
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distutils-r1_python_prepare_all
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}
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python_compile_all() {
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# To build docs the need be located in $BUILD_DIR,
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# else PYTHONPATH points to unusable modules.
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if use doc; then
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cd "${BUILD_DIR}"/lib || die
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cp -ar "${S}"/doc . && cd doc || die
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LANG=C PYTHONPATH=. virtx ${EPYTHON} make.py html || die
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fi
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}
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python_test() {
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local test_pandas='not network and not disabled'
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[[ -n "${FAST_PANDAS}" ]] && test_pandas+=' and not slow'
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pushd "${BUILD_DIR}"/lib > /dev/null
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"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
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PYTHONPATH=. MPLCONFIGDIR=. \
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virtx nosetests --verbosity=3 -A "${test_pandas}" pandas
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popd > /dev/null
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}
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python_install_all() {
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if use doc; then
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dodoc -r "${BUILD_DIR}"/lib/doc/build/html
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einfo "An initial build of docs is absent of references to statsmodels"
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einfo "due to circular dependency. To have them included, emerge"
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einfo "statsmodels next and re-emerge pandas with USE doc"
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fi
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distutils-r1_python_install_all
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}
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pkg_postinst() {
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optfeature "accelerating certain types of NaN evaluations, using specialized cython routines to achieve large speedups." dev-python/bottleneck
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optfeature "accelerating certain numerical operations, using multiple cores as well as smart chunking and caching to achieve large speedups" ">=dev-python/numexpr-2.1"
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optfeature "needed for pandas.io.html.read_html" dev-python/beautifulsoup:4 dev-python/html5lib dev-python/lxml
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optfeature "for msgpack compression using blosc" dev-python/blosc
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optfeature "necessary for Amazon S3 access" dev-python/boto
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optfeature "needed for pandas.io.gbq" dev-python/httplib2 dev-python/setuptools dev-python/python-gflags ">=dev-python/google-api-python-client-1.2.0"
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optfeature "Template engine for conditional HTML formatting" dev-python/jinja
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optfeature "Plotting support" dev-python/matplotlib
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optfeature "Needed for Excel I/O" ">=dev-python/openpyxl-1.6.1" dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt
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optfeature "necessary for HDF5-based storage" ">=dev-python/pytables-3.2.1"
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optfeature "R I/O support" dev-python/rpy
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optfeature "Needed for parts of pandas.stats" dev-python/statsmodels
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optfeature "SQL database support" ">=dev-python/sqlalchemy-0.8.1"
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optfeature "miscellaneous statistical functions" sci-libs/scipy
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optfeature "necessary to use pandas.io.clipboard.read_clipboard support" dev-python/PyQt5 dev-python/pygtk x11-misc/xclip x11-misc/xsel
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}
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