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author | Sébastien Fabbro <bicatali@gentoo.org> | 2017-07-12 19:28:16 +0000 |
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committer | Sébastien Fabbro <bicatali@gentoo.org> | 2017-07-12 19:28:47 +0000 |
commit | 8a289271662e2dd706f5589b4c208356bd5fdbbb (patch) | |
tree | 732f5e55c8b1e7de5f80ded05a96f149eaff666a /dev-python | |
parent | dev-python/ipython: version bump (diff) | |
download | gentoo-8a289271662e2dd706f5589b4c208356bd5fdbbb.tar.gz gentoo-8a289271662e2dd706f5589b4c208356bd5fdbbb.tar.bz2 gentoo-8a289271662e2dd706f5589b4c208356bd5fdbbb.zip |
dev-python/pandas: version bump
Package-Manager: Portage-2.3.6, Repoman-2.3.2
Diffstat (limited to 'dev-python')
-rw-r--r-- | dev-python/pandas/Manifest | 1 | ||||
-rw-r--r-- | dev-python/pandas/pandas-0.20.3.ebuild | 157 |
2 files changed, 158 insertions, 0 deletions
diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest index 80b1bf9ae5b6..299a77769684 100644 --- a/dev-python/pandas/Manifest +++ b/dev-python/pandas/Manifest @@ -3,3 +3,4 @@ DIST pandas-0.17.0.tar.gz 6508621 SHA256 320d4fdf734b82adebc8fde9d8ca4b05fe155a7 DIST pandas-0.17.1.tar.gz 6674479 SHA256 cfd7214a7223703fe6999fbe34837749540efee1c985e6aee9933f30e3f72837 SHA512 9d9f9064585b1f3551625e0c8f4eedaaa1253790c2a5cb28e58e70eb805cc18f9770d793aa748cbd76798488ff60efdd01eb4b21daf5ad8f1dc4d9c050487234 WHIRLPOOL 5238575bd64b8d38db4f9a0ea987a7f78ffd1821e5a22bad65c84c407feca3af6f3b536a0a2f337291aa04e94c86fdb40382dad4ce50f8a33a5e26d655c628c2 DIST pandas-0.19.1.tar.gz 8360233 SHA256 2509feaeda72fce03675e2eccd2284bb1cadb6a0737008a5e741fe2431d47421 SHA512 6451990a7fae8c6db8ab0b014a13b4f1828754d3998f13c17b111f891fb9fd23f8e09b907623096dfa55668c42298eee1373210a9fddb95f56dd7d552b964e6f WHIRLPOOL 700c0d819ab62134baf56430b7fa8840636ea377d00397341d33ec5f13474d9eeefea245aede80a80f7c16348ef811788947e5fe0020c9770005c74dd1288ef3 DIST pandas-0.20.1.tar.gz 10307434 SHA256 42707365577ef69f7c9c168ddcf045df2957595a9ee71bc13c7997eecb96b190 SHA512 d477a815914c825efd6430f7eb19f3f9115c1c4ab03000ca6d4f64023f7b5f53eff512792fea2d8b33c7febb3667fc3a3de55f11eeb453f285cae40e6b473707 WHIRLPOOL fca35c7178441e3cfe990740aecba923d8b3d56d70fa7b0285b09305a0d2f7a6ad01bb906d6d92748a038a3841cda783f01f75f93b67f15c53c9854a43819841 +DIST pandas-0.20.3.tar.gz 10402185 SHA256 a777e07633d83d546c55706420179551c8e01075b53c497dcf8ae4036766bc66 SHA512 891c7e04d075f96fadf3775e903472e279eaeaa4509eb0da81a74261a3ed86ff309de0b5a2c100ee93dd968fed1df6d7e426ca78785b2b36785fe7679218fdc5 WHIRLPOOL 7a2a09e0a0d74cad4c8c89b63ecebad73e8defc99f17cbcd0ab56ca23cf9b1eb7c142b07d52ce9e53c7409ace0d4f71df9c855fef9817fa74f48b90bb51e6cf5 diff --git a/dev-python/pandas/pandas-0.20.3.ebuild b/dev-python/pandas/pandas-0.20.3.ebuild new file mode 100644 index 000000000000..a28647857c1c --- /dev/null +++ b/dev-python/pandas/pandas-0.20.3.ebuild @@ -0,0 +1,157 @@ +# Copyright 1999-2017 Gentoo Foundation +# Distributed under the terms of the GNU General Public License v2 + +EAPI=6 + +PYTHON_COMPAT=( python2_7 python3_{4,5,6} ) +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/" +SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz" + +SLOT="0" +LICENSE="BSD" +KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux" +IUSE="doc -minimal full-support test X" + +MINIMAL_DEPEND=" + >dev-python/numpy-1.7[${PYTHON_USEDEP}] + >=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}] + dev-python/pytz[${PYTHON_USEDEP}] + !<dev-python/numexpr-2.1[${PYTHON_USEDEP}] + !~dev-python/openpyxl-1.9.0[${PYTHON_USEDEP}]" +RECOMMENDED_DEPEND=" + dev-python/bottleneck[${PYTHON_USEDEP}] + >=dev-python/numexpr-2.1[${PYTHON_USEDEP}]" +OPTIONAL_DEPEND=" + dev-python/beautifulsoup:4[${PYTHON_USEDEP}] + dev-python/blosc[${PYTHON_USEDEP}] + dev-python/boto[${PYTHON_USEDEP}] + >=dev-python/google-api-python-client-1.2.0[$(python_gen_usedep python2_7 pypy)] + || ( dev-python/html5lib[${PYTHON_USEDEP}] dev-python/lxml[${PYTHON_USEDEP}] ) + dev-python/httplib2[${PYTHON_USEDEP}] + dev-python/jinja[${PYTHON_USEDEP}] + dev-python/matplotlib[${PYTHON_USEDEP}] + || ( >=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}] dev-python/xlsxwriter[${PYTHON_USEDEP}] ) + >=dev-python/pytables-3.2.1[${PYTHON_USEDEP}] + dev-python/python-gflags[$(python_gen_usedep python2_7 pypy)] + dev-python/rpy[${PYTHON_USEDEP}] + dev-python/setuptools[${PYTHON_USEDEP}] + dev-python/statsmodels[${PYTHON_USEDEP}] + >=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}] + dev-python/xarray[${PYTHON_USEDEP}] + dev-python/xlrd[${PYTHON_USEDEP}] + dev-python/xlwt[${PYTHON_USEDEP}] + sci-libs/scipy[${PYTHON_USEDEP}] + X? ( + || ( + dev-python/PyQt4[${PYTHON_USEDEP}] + dev-python/pyside[${PYTHON_USEDEP}] + dev-python/pygtk[$(python_gen_usedep python2_7)] + ) + || ( + x11-misc/xclip + x11-misc/xsel + ) + ) + " + +DEPEND="${MINIMAL_DEPEND} + dev-python/setuptools[${PYTHON_USEDEP}] + >=dev-python/cython-0.23[${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/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[${PYTHON_USEDEP}] + sci-libs/scipy[${PYTHON_USEDEP}] + x11-misc/xclip + ) + test? ( + ${VIRTUALX_DEPEND} + ${RECOMMENDED_DEPEND} + ${OPTIONAL_DEPEND} + dev-python/beautifulsoup:4[${PYTHON_USEDEP}] + dev-python/nose[${PYTHON_USEDEP}] + dev-python/pymysql[${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=" + ${MINIMAL_DEPEND} + !minimal? ( ${RECOMMENDED_DEPEND} ) + full-support? ( ${OPTIONAL_DEPEND} )" + +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 ${EPYTHON} make.py html || die + fi +} + +python_test() { + local test_pandas='not network and not disabled' + [[ -n "${FAST_PANDAS}" ]] && test_pandas+=' and not slow' + pushd "${BUILD_DIR}"/lib > /dev/null + "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die + PYTHONPATH=. MPLCONFIGDIR=. \ + virtx nosetests --verbosity=3 -A "${test_pandas}" pandas + popd > /dev/null +} + +python_install_all() { + if use doc; then + dodoc -r "${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/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" sci-libs/scipy + optfeature "necessary to use pandas.io.clipboard.read_clipboard support" dev-python/PyQt4 dev-python/pyside dev-python/pygtk x11-misc/xclip x11-misc/xsel +} |