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-rw-r--r--dev-python/pandas/Manifest1
-rw-r--r--dev-python/pandas/pandas-0.23.0.ebuild171
2 files changed, 172 insertions, 0 deletions
diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index d1daf66ed35d..aaa066df211b 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -1,2 +1,3 @@
DIST pandas-0.19.1.tar.gz 8360233 BLAKE2B 82611ca1a3e3169ac2d084f4dcd9c4d4d74e9e9c9913a41acad48ae68a208a884dfd877445a7d658a7ff098ef383cedae7e79a4900baa8d56c032ce9aaad96eb SHA512 6451990a7fae8c6db8ab0b014a13b4f1828754d3998f13c17b111f891fb9fd23f8e09b907623096dfa55668c42298eee1373210a9fddb95f56dd7d552b964e6f
+DIST pandas-0.23.0.tar.gz 13092442 BLAKE2B e11ae088c9a4be481f516d83797b1b1d5e9c82f7d9fa98f1ea65e3405e33c99e1e1cf7a35f56a21d9dc922c1d0828b4947d9c6189a5f76ad5c1b28618293f9da SHA512 c9dc7bf843e3392b8b1b4d46c6aa6dd12435aa974abc875574a7a8794abe6ea531fa92d8a635153839fd3fef9059d96a4512831b86b1fb6fb69588c8b29a95d6
DIST pandas-0.23.0rc2.tar.gz 12542694 BLAKE2B 7c6383d32430fec89b7d5cbb1f8eef0f2201ba85d5865118fa035b6ad4c852b5f4e691f98f0cf3ac5c1283720025f8500c43414d0931af5211972208428537bd SHA512 3df13f74dbcac00baffd39c732751d4e7bd16adf529b60b05b2373651d86e0aba37d6f3a4339df170e9ab3d89ee03fc18827dd3728ff972bcdfe3a0604bff59d
diff --git a/dev-python/pandas/pandas-0.23.0.ebuild b/dev-python/pandas/pandas-0.23.0.ebuild
new file mode 100644
index 000000000000..57471830de8c
--- /dev/null
+++ b/dev-python/pandas/pandas-0.23.0.ebuild
@@ -0,0 +1,171 @@
+# Copyright 1999-2018 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=6
+
+PYTHON_COMPAT=( python2_7 python3_{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}/${P/_/}.tar.gz"
+
+SLOT="0"
+LICENSE="BSD"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="doc full-support minimal test X"
+
+RECOMMENDED_DEPEND="
+ dev-python/bottleneck[${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/PyQt5[${PYTHON_USEDEP}]
+ dev-python/pygtk[$(python_gen_usedep python2_7)]
+ )
+ || (
+ x11-misc/xclip
+ x11-misc/xsel
+ )
+ )
+"
+COMMON_DEPEND="
+ >dev-python/numpy-1.7[${PYTHON_USEDEP}]
+ >=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}]
+ dev-python/pytz[${PYTHON_USEDEP}]
+"
+DEPEND="${COMMON_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[${PYTHON_USEDEP}]
+ x11-misc/xclip
+ x11-misc/xsel
+ )
+"
+# dev-python/statsmodels invokes a circular dep
+# hence rm from doc? ( ), again
+RDEPEND="${COMMON_DEPEND}
+ !<dev-python/numexpr-2.1[${PYTHON_USEDEP}]
+ !~dev-python/openpyxl-1.9.0[${PYTHON_USEDEP}]
+ !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
+
+ # https://github.com/pydata/pandas/issues/11299
+ sed -e 's:testOdArray:disable:g' \
+ -i pandas/tests/io/json/test_ujson.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/PyQt5 dev-python/pygtk x11-misc/xclip x11-misc/xsel
+}