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# Copyright 1999-2020 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=7
PYTHON_COMPAT=( python3_{6,7} )
PYTHON_REQ_USE="threads(+)"
VIRTUALX_REQUIRED="manual"
DISTUTILS_USE_SETUPTOOLS=rdepend
inherit distutils-r1 eutils flag-o-matic virtualx
DESCRIPTION="Powerful data structures for data analysis and statistics"
HOMEPAGE="https://pandas.pydata.org/"
SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P/_/}.tar.gz"
SLOT="0"
LICENSE="BSD"
KEYWORDS="~amd64 ~x86"
IUSE="doc full-support minimal test X"
RESTRICT="!test? ( test )"
RECOMMENDED_DEPEND="
>=dev-python/bottleneck-1.2.1[${PYTHON_USEDEP}]
>=dev-python/numexpr-2.1[${PYTHON_USEDEP}]
"
# TODO: add pandas-gbq to the tree
OPTIONAL_DEPEND="
dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
dev-python/blosc[${PYTHON_USEDEP}]
|| (
dev-python/html5lib[${PYTHON_USEDEP}]
dev-python/lxml[${PYTHON_USEDEP}]
)
dev-python/jinja[${PYTHON_USEDEP}]
dev-python/matplotlib[${PYTHON_USEDEP}]
|| (
dev-python/openpyxl[${PYTHON_USEDEP}]
dev-python/xlsxwriter[${PYTHON_USEDEP}]
)
>=dev-python/pytables-3.2.1[${PYTHON_USEDEP}]
dev-python/s3fs[${PYTHON_USEDEP}]
dev-python/statsmodels[${PYTHON_USEDEP}]
>=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}]
>=dev-python/xarray-0.10.8[${PYTHON_USEDEP}]
>=dev-python/xlrd-1.0.0[${PYTHON_USEDEP}]
dev-python/xlwt[${PYTHON_USEDEP}]
>=sci-libs/scipy-1.1[${PYTHON_USEDEP}]
X? (
|| (
dev-python/PyQt5[${PYTHON_USEDEP}]
x11-misc/xclip
x11-misc/xsel
)
)
"
COMMON_DEPEND="
>dev-python/numpy-1.13.1[${PYTHON_USEDEP}]
dev-python/python-dateutil[${PYTHON_USEDEP}]
dev-python/pytz[${PYTHON_USEDEP}]
"
DEPEND="${COMMON_DEPEND}
dev-python/setuptools[${PYTHON_USEDEP}]
dev-python/cython[${PYTHON_USEDEP}]
doc? (
${VIRTUALX_DEPEND}
app-text/pandoc
dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
dev-python/html5lib[${PYTHON_USEDEP}]
dev-python/ipython[${PYTHON_USEDEP}]
dev-python/lxml[${PYTHON_USEDEP}]
dev-python/matplotlib[${PYTHON_USEDEP}]
dev-python/nbsphinx[${PYTHON_USEDEP}]
>=dev-python/numpydoc-0.9.1[${PYTHON_USEDEP}]
>=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
>=dev-python/pytables-3.0.0[${PYTHON_USEDEP}]
dev-python/pytz[${PYTHON_USEDEP}]
dev-python/rpy[${PYTHON_USEDEP}]
dev-python/sphinx[${PYTHON_USEDEP}]
dev-python/xlrd[${PYTHON_USEDEP}]
dev-python/xlwt[${PYTHON_USEDEP}]
sci-libs/scipy[${PYTHON_USEDEP}]
x11-misc/xclip
)
test? (
${VIRTUALX_DEPEND}
${RECOMMENDED_DEPEND}
${OPTIONAL_DEPEND}
dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
dev-python/hypothesis[${PYTHON_USEDEP}]
dev-python/nose[${PYTHON_USEDEP}]
dev-python/pymysql[${PYTHON_USEDEP}]
dev-python/pytest[${PYTHON_USEDEP}]
dev-python/pytest-mock[${PYTHON_USEDEP}]
dev-python/psycopg:2[${PYTHON_USEDEP}]
x11-misc/xclip
x11-misc/xsel
)
"
# dev-python/statsmodels invokes a circular dep
# hence rm from doc? ( ), again
RDEPEND="${COMMON_DEPEND}
!minimal? ( ${RECOMMENDED_DEPEND} )
full-support? ( ${OPTIONAL_DEPEND} )
"
S="${WORKDIR}/${P/_/}"
python_prepare_all() {
# Prevent un-needed download during build
sed -e "/^ 'sphinx.ext.intersphinx',/d" \
-i doc/source/conf.py || die
distutils-r1_python_prepare_all
}
python_compile_all() {
# To build docs the need be located in $BUILD_DIR,
# else PYTHONPATH points to unusable modules.
if use doc; then
cd "${BUILD_DIR}"/lib || die
cp -ar "${S}"/doc . && cd doc || die
LANG=C PYTHONPATH=. virtx ${EPYTHON} make.py html
fi
}
python_test() {
pushd "${BUILD_DIR}"/lib > /dev/null
"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
PYTHONPATH=. virtx pytest pandas -v --skip-slow --skip-network \
-m "not single"
find . -name .pytest_cache -exec rm -r {} + || die
popd > /dev/null
}
python_install_all() {
if use doc; then
dodoc -r "${BUILD_DIR}"/lib/doc/build/html
einfo "An initial build of docs is absent of references to statsmodels"
einfo "due to circular dependency. To have them included, emerge"
einfo "statsmodels next and re-emerge pandas with USE doc"
fi
distutils-r1_python_install_all
}
pkg_postinst() {
optfeature "accelerating certain types of NaN evaluations, using specialized cython routines to achieve large speedups." dev-python/bottleneck
optfeature "accelerating certain numerical operations, using multiple cores as well as smart chunking and caching to achieve large speedups" ">=dev-python/numexpr-2.1"
optfeature "needed for pandas.io.html.read_html" dev-python/beautifulsoup:4 dev-python/html5lib dev-python/lxml
optfeature "for msgpack compression using blosc" dev-python/blosc
optfeature "necessary for Amazon S3 access" dev-python/s3fs
optfeature "Template engine for conditional HTML formatting" dev-python/jinja
optfeature "Plotting support" dev-python/matplotlib
optfeature "Needed for Excel I/O" ">=dev-python/openpyxl-1.6.1" dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt
optfeature "necessary for HDF5-based storage" ">=dev-python/pytables-3.2.1"
optfeature "R I/O support" dev-python/rpy
optfeature "Needed for parts of pandas.stats" dev-python/statsmodels
optfeature "SQL database support" ">=dev-python/sqlalchemy-0.8.1"
optfeature "miscellaneous statistical functions" sci-libs/scipy
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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