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dev-python/pandas: Bump to 1.2.5
Signed-off-by: Michał Górny <mgorny@gentoo.org>
This commit is contained in:
Michał Górny
@@ -1,2 +1,3 @@
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DIST pandas-1.2.3.tar.gz 5466356 BLAKE2B f392321915128769814b3a8b7673cd7b00c9c292f4cb8d8b2e8537f7cc513f92cb6b8ff74dffe3b167987e8fa387738264dbebfdf4019f9cd7afd4f78234212a SHA512 3108424253aa143a85ef166091829bbd8c9b6446b516f37252742146d184f722e1fb8af5b4d04937362a298068019a91392e40c818126df6a7459bab7f3077cb
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DIST pandas-1.2.4.tar.gz 5469105 BLAKE2B 7f39e3ca67f5997c0668b0c2e9792869963adcd0347a3983188a992794ad58ccba82105b4dc3315cc17d79104f7fea7a273c218967eb51b1ea1514e87aeebb66 SHA512 79e7a38b8edad52b70eb81ba821141b928c782009d59c50076e7d1e7c015078d333c0c80bda7ba720f4ccb221a0ba93a02885fe6a573567ee37ffae14ee9b2c3
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DIST pandas-1.2.5.tar.gz 5470907 BLAKE2B 2c5e0cb0849aa23ee8640528a3e29a579cc051543731e44c9be41fb989c85f1b2b18bc028e97c9b200f9894e4c3ac8af6a2100586e41f6d8a165a4c4679fd649 SHA512 c8bc2ca7ff8ca1a4877ccda67aaf49c103525d0f511636f93e1db3720d9a1717aacde0a5e3f107f8f620b59f0269d9e5c9515fbef46da4e87fca678d7acda990
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186
dev-python/pandas/pandas-1.2.5.ebuild
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186
dev-python/pandas/pandas-1.2.5.ebuild
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# Copyright 1999-2021 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_{8..9} )
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PYTHON_REQ_USE="threads(+)"
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VIRTUALX_REQUIRED="manual"
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inherit distutils-r1 flag-o-matic multiprocessing optfeature virtualx
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DESCRIPTION="Powerful data structures for data analysis and statistics"
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HOMEPAGE="https://pandas.pydata.org/"
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SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P/_/}.tar.gz"
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S="${WORKDIR}/${P/_/}"
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SLOT="0"
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LICENSE="BSD"
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KEYWORDS="~amd64 ~arm ~arm64 ~x86"
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IUSE="doc full-support minimal test X"
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RESTRICT="!test? ( test )"
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RECOMMENDED_DEPEND="
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>=dev-python/bottleneck-1.2.1[${PYTHON_USEDEP}]
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>=dev-python/numexpr-2.1[${PYTHON_USEDEP}]
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"
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# TODO: add pandas-gbq to the tree
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OPTIONAL_DEPEND="
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dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
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dev-python/blosc[${PYTHON_USEDEP}]
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|| (
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dev-python/html5lib[${PYTHON_USEDEP}]
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dev-python/lxml[${PYTHON_USEDEP}]
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)
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dev-python/jinja[${PYTHON_USEDEP}]
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dev-python/matplotlib[${PYTHON_USEDEP}]
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|| (
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dev-python/openpyxl[${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/statsmodels[${PYTHON_USEDEP}]
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>=dev-python/xarray-0.10.8[${PYTHON_USEDEP}]
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>=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}]
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>=dev-python/xlrd-1.0.0[${PYTHON_USEDEP}]
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dev-python/xlwt[${PYTHON_USEDEP}]
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>=dev-python/scipy-1.1[${PYTHON_USEDEP}]
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X? (
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|| (
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dev-python/PyQt5[${PYTHON_USEDEP}]
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x11-misc/xclip
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x11-misc/xsel
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)
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)
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"
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COMMON_DEPEND="
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>dev-python/numpy-1.15.4[${PYTHON_USEDEP}]
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dev-python/python-dateutil[${PYTHON_USEDEP}]
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dev-python/pytz[${PYTHON_USEDEP}]
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"
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DEPEND="${COMMON_DEPEND}
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>=dev-python/cython-0.29.21[${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[${PYTHON_USEDEP}]
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>=dev-python/numpydoc-0.9.1[${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[${PYTHON_USEDEP}]
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dev-python/xlrd[${PYTHON_USEDEP}]
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dev-python/xlwt[${PYTHON_USEDEP}]
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dev-python/scipy[${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/hypothesis[${PYTHON_USEDEP}]
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dev-python/nose[${PYTHON_USEDEP}]
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dev-python/openpyxl[${PYTHON_USEDEP}]
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dev-python/pymysql[${PYTHON_USEDEP}]
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>=dev-python/pytest-5.1[${PYTHON_USEDEP}]
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dev-python/pytest-mock[${PYTHON_USEDEP}]
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dev-python/pytest-xdist[${PYTHON_USEDEP}]
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dev-python/psycopg:2[${PYTHON_USEDEP}]
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dev-python/xlsxwriter[${PYTHON_USEDEP}]
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x11-misc/xclip
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x11-misc/xsel
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)
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"
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# dev-python/statsmodels invokes a circular dep
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# hence rm from doc? ( ), again
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RDEPEND="${COMMON_DEPEND}
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!minimal? ( ${RECOMMENDED_DEPEND} )
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full-support? ( ${OPTIONAL_DEPEND} )
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"
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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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# requires package installed
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sed -e '/extra_compile_args =/s:"-Werror"::' \
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-i setup.py || die
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distutils-r1_python_prepare_all
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}
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python_compile() {
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distutils-r1_python_compile -j1
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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 ${EPYTHON} make.py html
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fi
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}
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python_test() {
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local deselect=(
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# test for rounding errors, fails if we have better precision
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# e.g. on amd64 with FMA or on arm64
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# https://github.com/pandas-dev/pandas/issues/38921
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pandas/tests/window/test_rolling.py::test_rolling_var_numerical_issues
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# weird issue, doesn't seem very important
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'pandas/tests/base/test_misc.py::test_memory_usage[series-with-empty-index]'
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# old psycopg2 API
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pandas/tests/tools/test_to_datetime.py::TestToDatetime::test_to_datetime_tz_psycopg2
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)
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local -x LC_ALL=C.UTF-8
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pushd "${BUILD_DIR}"/lib > /dev/null || die
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"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
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PYTHONPATH=. virtx epytest pandas --skip-slow --skip-network \
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${deselect[@]/#/--deselect } -m "not single" \
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-n "$(makeopts_jobs "${MAKEOPTS}" "$(get_nproc)")"
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find . '(' -name .pytest_cache -o -name .hypothesis ')' \
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-exec rm -r {} + || die
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popd > /dev/null || die
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}
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python_install_all() {
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if use doc; then
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dodoc -r "${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 "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" dev-python/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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