# Copyright 1999-2021 Gentoo Authors # Distributed under the terms of the GNU General Public License v2 EAPI=7 PYTHON_COMPAT=( python2_7 ) PYTHON_REQ_USE="threads(+)" VIRTUALX_REQUIRED="manual" inherit distutils-r1 eutils flag-o-matic virtualx DESCRIPTION="Powerful data structures for data analysis and statistics" HOMEPAGE="http://pandas.pydata.org/ https://github.com/pandas-dev/pandas" SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P/_/}.tar.gz" SLOT="python2" LICENSE="BSD" KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux" IUSE="doc full-support minimal test X" RECOMMENDED_DEPEND=" >=dev-python/bottleneck-1.2.1:python2[${PYTHON_USEDEP}] >=dev-python/numexpr-2.1:python2[${PYTHON_USEDEP}] " OPTIONAL_DEPEND=" dev-python/beautifulsoup:4-python2[${PYTHON_USEDEP}] dev-python/blosc:python2[${PYTHON_USEDEP}] dev-python/boto:python2[${PYTHON_USEDEP}] >=dev-python/google-api-python-client-1.2.0:python2[${PYTHON_USEDEP}] || ( dev-python/html5lib:python2[${PYTHON_USEDEP}] dev-python/lxml:python2[${PYTHON_USEDEP}] ) dev-python/httplib2:python2[${PYTHON_USEDEP}] dev-python/jinja:python2[${PYTHON_USEDEP}] dev-python/matplotlib-python2[${PYTHON_USEDEP}] || ( >=dev-python/openpyxl-1.6.1:python2[${PYTHON_USEDEP}] dev-python/xlsxwriter[${PYTHON_USEDEP}] ) >=dev-python/pytables-3.2.1:python2[${PYTHON_USEDEP}] dev-python/python-gflags:python2[${PYTHON_USEDEP}] dev-python/rpy:python2[${PYTHON_USEDEP}] dev-python/statsmodels:python2[${PYTHON_USEDEP}] >=dev-python/sqlalchemy-0.8.1:python2[${PYTHON_USEDEP}] >=dev-python/xarray-0.10.8:python2[${PYTHON_USEDEP}] dev-python/xlrd:python2[${PYTHON_USEDEP}] dev-python/xlwt:python2[${PYTHON_USEDEP}] dev-python/scipy-python2[${PYTHON_USEDEP}] X? ( || ( dev-python/PyQt5[${PYTHON_USEDEP}] dev-python/pygtk[${PYTHON_USEDEP}] ) || ( x11-misc/xclip x11-misc/xsel ) ) " COMMON_DEPEND=" >dev-python/numpy-python2-1.7[${PYTHON_USEDEP}] >=dev-python/python-dateutil-2.5.0:python2[${PYTHON_USEDEP}] dev-python/pytz:python2[${PYTHON_USEDEP}] " DEPEND="${COMMON_DEPEND} dev-python/setuptools:python2[${PYTHON_USEDEP}] >=dev-python/cython-0.23[${PYTHON_USEDEP}] doc? ( ${VIRTUALX_DEPEND} app-text/pandoc dev-python/beautifulsoup:4-python2[${PYTHON_USEDEP}] dev-python/html5lib[${PYTHON_USEDEP}] dev-python/ipython[${PYTHON_USEDEP}] dev-python/lxml[${PYTHON_USEDEP}] dev-python/matplotlib-python2[${PYTHON_USEDEP}] dev-python/nbsphinx[${PYTHON_USEDEP}] >=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}] >=dev-python/pytables-3.0.0[${PYTHON_USEDEP}] dev-python/pytz[${PYTHON_USEDEP}] dev-python/rpy[${PYTHON_USEDEP}] >=dev-python/sphinx-1.2.1[${PYTHON_USEDEP}] dev-python/xlrd[${PYTHON_USEDEP}] dev-python/xlwt[${PYTHON_USEDEP}] dev-python/scipy-python2[${PYTHON_USEDEP}] x11-misc/xclip ) test? ( ${VIRTUALX_DEPEND} ${RECOMMENDED_DEPEND} ${OPTIONAL_DEPEND} dev-python/beautifulsoup:4-python2[${PYTHON_USEDEP}] dev-python/nose[${PYTHON_USEDEP}] dev-python/pymysql[${PYTHON_USEDEP}] dev-python/pytest[${PYTHON_USEDEP}] dev-python/psycopg:python2[${PYTHON_USEDEP}] x11-misc/xclip x11-misc/xsel ) " # dev-python/statsmodels invokes a circular dep # hence rm from doc? ( ), again RDEPEND="${COMMON_DEPEND} ! /dev/null "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die PYTHONPATH=. virtx pytest pandas -v --skip-slow --skip-network \ -m "not single" 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-python2 dev-python/html5lib dev-python/lxml optfeature "for msgpack compression using blosc" dev-python/blosc optfeature "necessary for Amazon S3 access" dev-python/boto 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" 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" dev-python/scipy optfeature "necessary to use pandas.io.clipboard.read_clipboard support" dev-python/PyQt5 dev-python/pygtk x11-misc/xclip x11-misc/xsel }