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authorPacho Ramos <pacho@gentoo.org>2020-06-07 12:42:54 +0200
committerPacho Ramos <pacho@gentoo.org>2020-06-07 12:45:26 +0200
commit312b2691e588144a19a390467b8650a152202d0c (patch)
treeba6254733715cff811c1f86e1137d152409b59cb /dev-python/pandas
parentsci-chemistry/chemex: Bump to 2018.10.2 (diff)
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dev-python/pandas: Bump to 1.0.4
Package-Manager: Portage-2.3.100, Repoman-2.3.22 Signed-off-by: Pacho Ramos <pacho@gentoo.org>
Diffstat (limited to 'dev-python/pandas')
-rw-r--r--dev-python/pandas/Manifest1
-rw-r--r--dev-python/pandas/pandas-1.0.4.ebuild164
2 files changed, 165 insertions, 0 deletions
diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index 6e981506a514..478215e0d5a6 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -1,2 +1,3 @@
DIST pandas-0.24.2.tar.gz 11837693 BLAKE2B 3762e94554a3ae3c803c9a412c5c551c15a9fbf15cb05633f7d1b0ccbfddc646f68f0306666e688a83a4495b0537cea2fec671157f5a63aaa5f9cad6b791261e SHA512 0795c6bb8a47a511853558ea59d371b4540ec175f213cfba4ad2361d6481fea5d3f7074bb4961c32f2f0080a72d7436a9b3706f5cc692074f98d83bfc587fd15
DIST pandas-1.0.1.tar.gz 4852368 BLAKE2B d6d3ae757d245b665e4b67bd237c090ddff97688934268b171e278a14d2439f5d993addc304f16a0ac9ab7bc34bfe36df807f998148106b062c567a5a7f14f4a SHA512 6755d17a4a4a8c3770f413199a12b3c4d6b5f5fcc925bec9b9b0f813fcd020df0b2c0a32dc8528c795b16556e00c078a03e4a6746192b44bfbd7ffc809c1e56c
+DIST pandas-1.0.4.tar.gz 5040267 BLAKE2B 2855b1708e1ae4c56b6118613ec644d010a3af7db474bb30aec3cf84e497371af03b63a2168f6daf0fc42da07274f8724734117c6aaea34f49eeafbf6ac73b9f SHA512 01ef73cab3db067ca4a29992d71aa637425b8d70473fde6ccfb359dfedc9546315c6d37d74f3825c924cab789c2536ec69db071a303cfc5e1a7897b253dd9467
diff --git a/dev-python/pandas/pandas-1.0.4.ebuild b/dev-python/pandas/pandas-1.0.4.ebuild
new file mode 100644
index 000000000000..c2bd75a1183a
--- /dev/null
+++ b/dev-python/pandas/pandas-1.0.4.ebuild
@@ -0,0 +1,164 @@
+# 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
+}