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authorV3n3RiX <venerix@redcorelinux.org>2018-05-11 16:02:49 +0100
committerV3n3RiX <venerix@redcorelinux.org>2018-05-11 16:02:49 +0100
commit88ebe56470c37b02a044e1091cad6b2df0f3be8f (patch)
treed80b2d9337c01c4a0fe11a2ef9691fc3153ed6d3 /dev-python/pandas
parent4645b6f17f0da81e9fe84081fb126a37102ba153 (diff)
gentoo resync : 11.05.2018
Diffstat (limited to 'dev-python/pandas')
-rw-r--r--dev-python/pandas/Manifest13
-rw-r--r--dev-python/pandas/files/pandas-0.17.0-testfix-backport.patch28
-rw-r--r--dev-python/pandas/metadata.xml3
-rw-r--r--dev-python/pandas/pandas-0.16.2.ebuild128
-rw-r--r--dev-python/pandas/pandas-0.17.0.ebuild137
-rw-r--r--dev-python/pandas/pandas-0.17.1.ebuild166
-rw-r--r--dev-python/pandas/pandas-0.20.1.ebuild162
-rw-r--r--dev-python/pandas/pandas-0.20.3.ebuild157
8 files changed, 1 insertions, 793 deletions
diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index 512e26cbb6ea..405be8f6d414 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -1,19 +1,8 @@
-AUX pandas-0.17.0-testfix-backport.patch 1175 BLAKE2B 5e4f0e58acc731a0f8c1f88f28446f0dedfb886a1e4ccfd35ee3be9061c35362dee089a78d7f3fb404da9cb5e8663a2bf9341c7f7edfcaf65fcd5b7ef5e4063b SHA512 1b59919c6a3e3d835af3f1fac2350db596fa420a02f405a4b0de4a751c2a762606557306e4b42cf696730a0c104ef10544a4d0f82a64a6839b38ba14245f30ef
AUX pandas-0.19.1-gapi.patch 799 BLAKE2B 801d356d51de63091c6167677957349c3334105786a220252a6fad50e0242a67106fdb321f402e7d99b65c0ab8a0c5d312b98757100bef7cc02f7f43bc50fab9 SHA512 b1a4e7c5f480efadfaf70caaa3293cb3f16ebf36c4705597a22ecc06de7e5b2379ddb4061279d669d2c66d3ef149a74f300ec1127bd441ad1b9288cb9233c781
AUX pandas-0.19.1-seqf.patch 14381 BLAKE2B 8acb677579d429a7d82712477f8e8202561198938f56cc08c38dc3766a695a69fd3d25a25c4fa165c3f3d02a16a46acea092194e3e71f23ec22a8b2aca5f1e13 SHA512 b5675c89e087d47b94cfb036047b396d5a94b74bc03e95c92d5152bfc5598feddba88a781b6a11e533c46ba638aa50f0814d383c20d95f4e091deaee480b6d3e
-DIST pandas-0.16.2.tar.gz 4931751 BLAKE2B 5ffd1df908580d966f782a7b371c7798b65ae7caacda3d8591c8de770e2f9008a3d026d9cb7f80ae857db3c24c41c0d21b8586862c39ec1b20f6e02c28e1a79f SHA512 44874e12a42a01dd7ed88f3f97e954732a534a5e2dc4815ef6203bdb2d88850a607e6631a35ae8fc79f4621a5dfaa34f39bb1c9a0ecfb17da1cf0c10f35ff27b
-DIST pandas-0.17.0.tar.gz 6508621 BLAKE2B 226bf513c4fc7261331114832880da71f7b881e906d6739a81bc7c6bb048f3eeecc9806aa65c7eed246ea4df16c380595bd432ab7c25b9964ca8b879a7f705cf SHA512 bae6964e263c7ff6cac722cdfe23081f23c357d9bc39a670b5627bef4630c236a58aa8c0393eae921721bf7049c8e5266b4dea71dd957da5d89dafc14a04797b
-DIST pandas-0.17.1.tar.gz 6674479 BLAKE2B 0d61f0a603f758aaef6c2eddf6d70307255679b2ef0b599e81b3a4c0e67ebd7584b1f3d436e34d02264b9c17317508f40c5186fd874b4a362efa6edf68eef900 SHA512 9d9f9064585b1f3551625e0c8f4eedaaa1253790c2a5cb28e58e70eb805cc18f9770d793aa748cbd76798488ff60efdd01eb4b21daf5ad8f1dc4d9c050487234
DIST pandas-0.19.1.tar.gz 8360233 BLAKE2B 82611ca1a3e3169ac2d084f4dcd9c4d4d74e9e9c9913a41acad48ae68a208a884dfd877445a7d658a7ff098ef383cedae7e79a4900baa8d56c032ce9aaad96eb SHA512 6451990a7fae8c6db8ab0b014a13b4f1828754d3998f13c17b111f891fb9fd23f8e09b907623096dfa55668c42298eee1373210a9fddb95f56dd7d552b964e6f
-DIST pandas-0.20.1.tar.gz 10307434 BLAKE2B f8490a4a7f5c165753df274a0dea81552efc90a0cbf78d9e1fbeb6d0bc26e8ffaf3dbdf796a3abfb29d01332004af2adfbd9946c69d905f309cc730613de8123 SHA512 d477a815914c825efd6430f7eb19f3f9115c1c4ab03000ca6d4f64023f7b5f53eff512792fea2d8b33c7febb3667fc3a3de55f11eeb453f285cae40e6b473707
-DIST pandas-0.20.3.tar.gz 10402185 BLAKE2B a2c8d8f0007d481ccb897d2e9be106319cd3b7c0edf397fb99e7c6f43511c218ff5e7a7f099fcf23406f7e3ea691272e75c0f130cce991ccf159df7223d26584 SHA512 891c7e04d075f96fadf3775e903472e279eaeaa4509eb0da81a74261a3ed86ff309de0b5a2c100ee93dd968fed1df6d7e426ca78785b2b36785fe7679218fdc5
DIST pandas-0.23.0rc2.tar.gz 12542694 BLAKE2B 7c6383d32430fec89b7d5cbb1f8eef0f2201ba85d5865118fa035b6ad4c852b5f4e691f98f0cf3ac5c1283720025f8500c43414d0931af5211972208428537bd SHA512 3df13f74dbcac00baffd39c732751d4e7bd16adf529b60b05b2373651d86e0aba37d6f3a4339df170e9ab3d89ee03fc18827dd3728ff972bcdfe3a0604bff59d
-EBUILD pandas-0.16.2.ebuild 3830 BLAKE2B a4feceede6288ca9d86177cd316168013d4a1d85bfab47de686a8435e4aa422c98ea156468da22010a61fae309fe1049902766f3a83d5e7db6483e8eaf9b3080 SHA512 b6e18279292c1772e5d9527e5f4baf520d07f30ee45e3604946cdc2b1731f881519815c229bdda41b2a02740c04f3d70fce6210bac094fb55c23fc5364970808
-EBUILD pandas-0.17.0.ebuild 3983 BLAKE2B a9875a252348369ff718878dd2ae06d703742d1ba1dafa1538a456b1ccf231a99f6b774c745035e9a4c23df7e7679674da50db55c2b4c0fad03de659d1ab75d4 SHA512 6a70c8b7045218f70ade388bde921c0f48c70344623d3ccaa4c0c7dd0ed35198da14e5faa28d1b16ed3a3ff88e174e662c53c2bb5cd6186464e8b718c97d84c7
-EBUILD pandas-0.17.1.ebuild 5955 BLAKE2B d6a2126678d1c93d16346c7a83425810eb11853a95a6391dfc8b67577708485c7906ec18c1d50b641061e559061bcaa2f5c562ba6532b39b068b8e15aa356013 SHA512 7fd34871cdf5178536c45416c2fcb39d76e3fa3355cee9ce39e44a228da6cb929980e52727683ece946328d0acd7f8a9072f60e1d696d9f00fea7b07f187f941
EBUILD pandas-0.19.1.ebuild 5913 BLAKE2B 994e9ea3397d2dacb0a01ad17c8285cae39a898c5615b42598f0a85745a74b4c01a2968da343a969160f18658fdae8cc6e6f0288f7254189d6233a4e16b21923 SHA512 6e88582440d02ad3adf338692082ff671c0c4f93f56adb029abfa5dea7210de30308371f990e4b2bbcdfbd510040e40c18a373123a862099d779993f81dda714
-EBUILD pandas-0.20.1.ebuild 5846 BLAKE2B b6abf38026c04a904b40d130c039c4395fd0bbd51aeb584a72428a26afddccb90198e6e02469eaa3942f6f76b95bdd6e9b53f433cfd5fd7715de9729ea35fb41 SHA512 9bb42445edb8f4dc62df830e30b8ea2e0856bf214f0621d7cbecebd2adc142bc2a4031e162e9ff93daf5f600d9e405386a32dca515fa6433f91e962c8ae00c37
-EBUILD pandas-0.20.3.ebuild 5759 BLAKE2B 59d904b1b8ca18a0baf2f58340a0b24cf1e99bee4a40a51530ec9fc79eac2fa093a05aedcb7f0e268d06a1828a013736679d26594ba443e1ad763d69c062f29b SHA512 fe6f54a082a50d4ab3edb16c9b2f11cae1440027b06e35b539133b76584c9ae615fa9f72a70328df26de7012c67d250574e47ec0b443eb84e480792b6743846b
EBUILD pandas-0.23.0_rc2.ebuild 5867 BLAKE2B 1f646f93b08f31f65bb61479fb09b3cf1005dd21dbbe859c332de535f2540f22bc53180e23bbdb66870a0675ca527f37343b3a5f9aabde9ae1c953775bf9a76e SHA512 922c5dcff6e238a018781f2b289149fe004b72371411dc0f3191565c9a590e7fe5f3e372ca8e524c4745e26789e68d5029e7ff96de23f1ee274aaf4c6e2fe828
EBUILD pandas-9999.ebuild 5824 BLAKE2B adee94b3e8a50e86a21ef64b75650ae372d7b9d9be888519fdf4769e6fe3d6e4425e5c325685f820b8d7599addc39e260d6b138080b40f9e275586dae9a3a096 SHA512 043c913888f3290c2bc651de252ac73d8ea9c9061a72781f747d291f46a3f8dd4b760ef2449f61b5249a79293dcad6ca389b11608e0431c6324c9e1adde1a189
-MISC metadata.xml 1077 BLAKE2B e9bfcfb9fc1baf813931a3cd0829136cdeb0a52a3a34a0d0ba28fbad6d4c3ebee24f1e5624d5242541fd14f4c435830b68ea30eab03d796e497116bdff732c77 SHA512 60b23a75873ded48dd01a36dae62f45f1cf5d044b88b125bda249fd6cf558ddef42d6677218053ed9d73de31da54f1f85bd1f64eab9b377f1a8b51fe1c510308
+MISC metadata.xml 834 BLAKE2B b075b9c90c4f1be265117df2c47ace4c86dad3fec9945b5a483a11048211348ee10e433f378610de4a9b599031914b32992b9fad693b832cf0266b0f171b3e38 SHA512 85ad67a653f4ced5fb9331b778fb2906c253874cf8e522f1b67547ef8e2f49e084e84d9e055aee7e2a57c6e6e4e7f7791a4ce299fac7c74dd6448a94977e8f5e
diff --git a/dev-python/pandas/files/pandas-0.17.0-testfix-backport.patch b/dev-python/pandas/files/pandas-0.17.0-testfix-backport.patch
deleted file mode 100644
index c83319256f22..000000000000
--- a/dev-python/pandas/files/pandas-0.17.0-testfix-backport.patch
+++ /dev/null
@@ -1,28 +0,0 @@
- pandas/tests/test_categorical.py | 10 ++++++----
- 1 file changed, 6 insertions(+), 4 deletions(-)
-
-diff --git a/pandas/tests/test_categorical.py b/pandas/tests/test_categorical.py
-old mode 100755
-new mode 100644
-index e97010e..1d14323
---- a/pandas/tests/test_categorical.py
-+++ b/pandas/tests/test_categorical.py
-@@ -86,12 +86,14 @@ class TestCategorical(tm.TestCase):
- factor = Categorical.from_array(arr, ordered=False)
- self.assertFalse(factor.ordered)
-
-- # this however will raise as cannot be sorted
-- # but fixed in newer versions of numpy
-- if LooseVersion(np.__version__) < "1.10":
-+ if compat.PY3:
- self.assertRaises(TypeError, lambda : Categorical.from_array(arr, ordered=True))
- else:
-- Categorical.from_array(arr, ordered=True)
-+ # this however will raise as cannot be sorted (on PY3 or older numpies)
-+ if LooseVersion(np.__version__) < "1.10":
-+ self.assertRaises(TypeError, lambda : Categorical.from_array(arr, ordered=True))
-+ else:
-+ Categorical.from_array(arr, ordered=True)
-
- def test_is_equal_dtype(self):
-
diff --git a/dev-python/pandas/metadata.xml b/dev-python/pandas/metadata.xml
index 2633bf05b9c0..2afb9b3d5636 100644
--- a/dev-python/pandas/metadata.xml
+++ b/dev-python/pandas/metadata.xml
@@ -14,9 +14,6 @@
</longdescription>
<use>
<flag name="full-support">Pull all packages to give pandas full support</flag>
- <flag name="excel">Pull a few Python packages for Microsoft Excel i/o</flag>
- <flag name="html">Enable HTML i/o via <pkg>dev-python/beautifulsoup</pkg></flag>
- <flag name="R">Enable support for R via <pkg>dev-python/rpy</pkg></flag>
</use>
<upstream>
<remote-id type="pypi">pandas</remote-id>
diff --git a/dev-python/pandas/pandas-0.16.2.ebuild b/dev-python/pandas/pandas-0.16.2.ebuild
deleted file mode 100644
index 7b2da1706956..000000000000
--- a/dev-python/pandas/pandas-0.16.2.ebuild
+++ /dev/null
@@ -1,128 +0,0 @@
-# Copyright 1999-2017 Gentoo Foundation
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=5
-
-PYTHON_COMPAT=( python2_7 python3_{4,5,6} )
-PYTHON_REQ_USE="threads(+)"
-
-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}/${P}.tar.gz"
-
-SLOT="0"
-LICENSE="BSD"
-KEYWORDS="amd64 x86 ~amd64-linux ~x86-linux"
-IUSE="doc excel html test R"
-
-EXTRA_DEPEND="
- >=dev-python/google-api-python-client-1.2.0[$(python_gen_usedep python2_7 pypy)]
- dev-python/openpyxl[${PYTHON_USEDEP}]
- dev-python/pymysql[${PYTHON_USEDEP}]
- dev-python/python-gflags[$(python_gen_usedep python2_7 pypy)]
- dev-python/psycopg:2[${PYTHON_USEDEP}]
- dev-python/statsmodels[${PYTHON_USEDEP}]
- dev-python/sqlalchemy[${PYTHON_USEDEP}]
- "
-CDEPEND="
- >dev-python/numpy-1.7[${PYTHON_USEDEP}]
- >=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}]
- !~dev-python/openpyxl-1.9.0[${PYTHON_USEDEP}]"
-DEPEND="${CDEPEND}
- >=dev-python/cython-0.19.1[${PYTHON_USEDEP}]
- doc? (
- dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
- dev-python/ipython[${PYTHON_USEDEP}]
- dev-python/html5lib[${PYTHON_USEDEP}]
- dev-python/lxml[${PYTHON_USEDEP}]
- dev-python/matplotlib[${PYTHON_USEDEP}]
- >=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
- dev-python/openpyxl[${PYTHON_USEDEP}]
- >=dev-python/pytables-3.0.0[${PYTHON_USEDEP}]
- dev-python/pytz[${PYTHON_USEDEP}]
- dev-python/rpy[${PYTHON_USEDEP}]
- sci-libs/scipy[${PYTHON_USEDEP}]
- >=dev-python/sphinx-1.2.1[${PYTHON_USEDEP}]
- dev-python/xlrd[$(python_gen_usedep 'python2_7')]
- dev-python/xlwt[$(python_gen_usedep 'python2_7')]
- x11-misc/xclip
- )
- test? (
- ${EXTRA_DEPEND}
- dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
- dev-python/nose[${PYTHON_USEDEP}]
- x11-misc/xclip
- x11-misc/xsel
- )"
-# dev-python/statsmodels invokes a circular dep
-# hence rm from doc? ( ), again
-RDEPEND="${CDEPEND}
- >=dev-python/numexpr-2.1[${PYTHON_USEDEP}]
- dev-python/bottleneck[${PYTHON_USEDEP}]
- dev-python/matplotlib[${PYTHON_USEDEP}]
- dev-python/pytables[${PYTHON_USEDEP}]
- dev-python/pytz[${PYTHON_USEDEP}]
- sci-libs/scipy[${PYTHON_USEDEP}]
- excel? (
- dev-python/xlrd[$(python_gen_usedep 'python2_7')]
- dev-python/xlwt[$(python_gen_usedep 'python2_7')]
- || (
- dev-python/xlsxwriter[${PYTHON_USEDEP}]
- >=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
- )
- )
- html? (
- dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
- || (
- dev-python/lxml[${PYTHON_USEDEP}]
- dev-python/html5lib[${PYTHON_USEDEP}] )
- )
- R? ( dev-python/rpy[${PYTHON_USEDEP}] )"
-
-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 "${S}"/doc . && cd doc || die
- LANG=C PYTHONPATH=. "${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
- VIRTUALX_COMMAND="nosetests"
- PYTHONPATH=. MPLCONFIGDIR=. HOME=. \
- virtualmake --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() {
- local x
- elog "Please install"
- for x in ${EXTRA_DEPEND}; do
- optfeature "additional functionality" "${x%%[*}"
- done
-}
diff --git a/dev-python/pandas/pandas-0.17.0.ebuild b/dev-python/pandas/pandas-0.17.0.ebuild
deleted file mode 100644
index 22a63f27a32a..000000000000
--- a/dev-python/pandas/pandas-0.17.0.ebuild
+++ /dev/null
@@ -1,137 +0,0 @@
-# Copyright 1999-2017 Gentoo Foundation
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=5
-
-PYTHON_COMPAT=( python2_7 python3_{4,5,6} )
-PYTHON_REQ_USE="threads(+)"
-
-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}/${P}.tar.gz"
-
-SLOT="0"
-LICENSE="BSD"
-KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
-IUSE="doc excel html test R"
-
-EXTRA_DEPEND="
- >=dev-python/google-api-python-client-1.2.0[$(python_gen_usedep python2_7 pypy)]
- dev-python/openpyxl[${PYTHON_USEDEP}]
- dev-python/pymysql[${PYTHON_USEDEP}]
- dev-python/python-gflags[$(python_gen_usedep python2_7 pypy)]
- dev-python/psycopg:2[${PYTHON_USEDEP}]
- dev-python/statsmodels[${PYTHON_USEDEP}]
- dev-python/sqlalchemy[${PYTHON_USEDEP}]
- "
-CDEPEND="
- >dev-python/numpy-1.7[${PYTHON_USEDEP}]
- >=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}]
- !~dev-python/openpyxl-1.9.0[${PYTHON_USEDEP}]"
-DEPEND="${CDEPEND}
- >=dev-python/cython-0.19.1[${PYTHON_USEDEP}]
- doc? (
- dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
- dev-python/ipython[${PYTHON_USEDEP}]
- dev-python/html5lib[${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}]
- sci-libs/scipy[${PYTHON_USEDEP}]
- >=dev-python/sphinx-1.2.1[${PYTHON_USEDEP}]
- dev-python/xlrd[${PYTHON_USEDEP}]
- dev-python/xlwt[${PYTHON_USEDEP}]
- x11-misc/xclip
- )
- test? (
- ${EXTRA_DEPEND}
- dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
- dev-python/nose[${PYTHON_USEDEP}]
- x11-misc/xclip
- x11-misc/xsel
- )"
-# dev-python/statsmodels invokes a circular dep
-# hence rm from doc? ( ), again
-RDEPEND="${CDEPEND}
- >=dev-python/numexpr-2.1[${PYTHON_USEDEP}]
- dev-python/bottleneck[${PYTHON_USEDEP}]
- dev-python/matplotlib[${PYTHON_USEDEP}]
- dev-python/pytables[${PYTHON_USEDEP}]
- dev-python/pytz[${PYTHON_USEDEP}]
- sci-libs/scipy[${PYTHON_USEDEP}]
- excel? (
- dev-python/xlrd[${PYTHON_USEDEP}]
- dev-python/xlwt[${PYTHON_USEDEP}]
- || (
- dev-python/xlsxwriter[${PYTHON_USEDEP}]
- >=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
- )
- )
- html? (
- dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
- || (
- dev-python/lxml[${PYTHON_USEDEP}]
- dev-python/html5lib[${PYTHON_USEDEP}] )
- )
- R? ( dev-python/rpy[${PYTHON_USEDEP}] )"
-
-PATCHES=(
- "${FILESDIR}"/${P}-testfix-backport.patch
-)
-
-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/io/tests/test_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 "${S}"/doc . && cd doc || die
- LANG=C PYTHONPATH=. "${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
- "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
- VIRTUALX_COMMAND="nosetests"
- PYTHONPATH=. MPLCONFIGDIR=. \
- virtualmake --verbosity=3 -A "${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() {
- local x
- elog "Please install"
- for x in ${EXTRA_DEPEND}; do
- optfeature "additional functionality" "${x%%[*}"
- done
-}
diff --git a/dev-python/pandas/pandas-0.17.1.ebuild b/dev-python/pandas/pandas-0.17.1.ebuild
deleted file mode 100644
index 8ddf16d1d5b1..000000000000
--- a/dev-python/pandas/pandas-0.17.1.ebuild
+++ /dev/null
@@ -1,166 +0,0 @@
-# Copyright 1999-2017 Gentoo Foundation
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=5
-
-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[${PYTHON_USEDEP}]
- dev-python/xlrd[${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[${PYTHON_USEDEP}]
- >=dev-python/cython-0.19.1[${PYTHON_USEDEP}]
- doc? (
- ${VIRTUALX_DEPEND}
- dev-python/beautifulsoup:4[${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? ( ${OPTIONAL_DEPEND} )"
-
-_PATCHES=(
- "${FILESDIR}"/${P}-testfix-backport.patch
-)
-
-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/io/tests/test_json/test_ujson.py || die
-
- distutils-r1_python_prepare_all
-}
-
-python_compile_all() {
- # To build docs the need be located in $BUILD_DIR,
- # else PYTHONPATH points to unusable modules.
- if use doc; then
- VIRTUALX_COMMAND="${EPYTHON}"
- cd "${BUILD_DIR}"/lib || die
- cp -ar "${S}"/doc . && cd doc || die
- LANG=C PYTHONPATH=. virtualmake 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
- "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
- VIRTUALX_COMMAND="nosetests"
- PYTHONPATH=. MPLCONFIGDIR=. \
- virtualmake --verbosity=3 -A "${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
-}
diff --git a/dev-python/pandas/pandas-0.20.1.ebuild b/dev-python/pandas/pandas-0.20.1.ebuild
deleted file mode 100644
index 9e3b7f8bd657..000000000000
--- a/dev-python/pandas/pandas-0.20.1.ebuild
+++ /dev/null
@@ -1,162 +0,0 @@
-# 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/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? (
- ${VIRTUALX_DEPEND}
- dev-python/beautifulsoup:4[${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
-
- # 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/PyQt4 dev-python/pyside dev-python/pygtk x11-misc/xclip x11-misc/xsel
-}
diff --git a/dev-python/pandas/pandas-0.20.3.ebuild b/dev-python/pandas/pandas-0.20.3.ebuild
deleted file mode 100644
index a28647857c1c..000000000000
--- a/dev-python/pandas/pandas-0.20.3.ebuild
+++ /dev/null
@@ -1,157 +0,0 @@
-# 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
-}