# Copyright 1999-2021 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI = 7
PYTHON_COMPAT = ( python3_{ 8..10} )
PYTHON_REQ_USE = "threads(+)"
VIRTUALX_REQUIRED = "manual"
inherit distutils-r1 flag-o-matic multiprocessing optfeature virtualx
DESCRIPTION = "Powerful data structures for data analysis and statistics"
HOMEPAGE = "https://pandas.pydata.org/ https://github.com/pandas-dev/pandas/"
SRC_URI = "
https://github.com/pandas-dev/pandas/releases/download/v${ PV } /${ P } .tar.gz"
S = " ${ WORKDIR } / ${ P /_/ } "
SLOT = "0"
LICENSE = "BSD"
KEYWORDS = "~amd64 ~arm ~arm64 ~riscv ~x86"
IUSE = "doc full-support minimal test X"
RESTRICT = "!test? ( test )"
RECOMMENDED_DEPEND = "
>= dev-python/bottleneck-1.2.1[ ${ PYTHON_USEDEP } ]
>= dev-python/numexpr-2.7.0[ ${ PYTHON_USEDEP } ]
"
# TODO: add pandas-gbq to the tree
OPTIONAL_DEPEND = "
dev-python/beautifulsoup4[ ${ 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/statsmodels[ ${ PYTHON_USEDEP } ]
>= dev-python/xarray-0.12.3[ ${ PYTHON_USEDEP } ]
>= dev-python/sqlalchemy-1.3.0[ ${ PYTHON_USEDEP } ]
>= dev-python/xlrd-1.2.0[ ${ PYTHON_USEDEP } ]
>= dev-python/xlwt-1.3.0[ ${ PYTHON_USEDEP } ]
>= dev-python/scipy-1.1[ ${ PYTHON_USEDEP } ]
X? (
|| (
dev-python/PyQt5[ ${ PYTHON_USEDEP } ]
x11-misc/xclip
x11-misc/xsel
)
)
"
COMMON_DEPEND = "
>= dev-python/numpy-1.17.3[ ${ PYTHON_USEDEP } ]
>= dev-python/python-dateutil-2.8.1-r3[ ${ PYTHON_USEDEP } ]
>= dev-python/pytz-2017.3[ ${ PYTHON_USEDEP } ]
"
DEPEND = " ${ COMMON_DEPEND }
>= dev-python/cython-0.29.21[ ${ PYTHON_USEDEP } ]
doc? (
${ VIRTUALX_DEPEND }
app-text/pandoc
dev-python/beautifulsoup4[ ${ 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 } ]
dev-python/scipy[ ${ PYTHON_USEDEP } ]
x11-misc/xclip
)
test? (
${ VIRTUALX_DEPEND }
${ RECOMMENDED_DEPEND }
${ OPTIONAL_DEPEND }
dev-python/beautifulsoup4[ ${ PYTHON_USEDEP } ]
dev-python/hypothesis[ ${ PYTHON_USEDEP } ]
dev-python/openpyxl[ ${ PYTHON_USEDEP } ]
dev-python/pymysql[ ${ PYTHON_USEDEP } ]
>= dev-python/pytest-6[ ${ PYTHON_USEDEP } ]
dev-python/pytest-xdist[ ${ PYTHON_USEDEP } ]
dev-python/psycopg:2[ ${ PYTHON_USEDEP } ]
dev-python/xlsxwriter[ ${ 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 } )
"
python_prepare_all( ) {
# Prevent un-needed download during build
sed -e "/^ 'sphinx.ext.intersphinx',/d" \
-i doc/source/conf.py || die
# requires package installed
sed -e '/extra_compile_args =/s:"-Werror"::' \
-i setup.py || die
distutils-r1_python_prepare_all
}
python_compile( ) {
distutils-r1_python_compile -j1
}
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( ) {
local deselect = (
# test for rounding errors, fails if we have better precision
# e.g. on amd64 with FMA or on arm64
# https://github.com/pandas-dev/pandas/issues/38921
pandas/tests/window/test_rolling.py::test_rolling_var_numerical_issues
# weird issue, doesn't seem very important
'pandas/tests/base/test_misc.py::test_memory_usage[series-with-empty-index]'
# old psycopg2 API
pandas/tests/tools/test_to_datetime.py::TestToDatetime::test_to_datetime_tz_psycopg2
# Internet
pandas/tests/io/xml/test_xml.py::test_wrong_url
# TODO: some data path problems?
pandas/tests/io/test_fsspec.py::test_read_csv
pandas/tests/io/test_fsspec.py::test_markdown_options
)
local -x LC_ALL = C.UTF-8
pushd " ${ BUILD_DIR } " /lib > /dev/null || die
" ${ EPYTHON } " -c "import pandas; pandas.show_versions()" || die
PYTHONPATH = . virtx epytest pandas --skip-slow --skip-network \
${ deselect [@]/#/--deselect } -m "not single" \
-n " $( makeopts_jobs " ${ MAKEOPTS } " " $( get_nproc) " ) "
find . '(' -name .pytest_cache -o -name .hypothesis ')' \
-exec rm -r { } + || die
popd > /dev/null || die
}
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/beautifulsoup4 dev-python/html5lib dev-python/lxml
optfeature "for msgpack compression using blosc" dev-python/blosc
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-3.0.0" 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-1.3.0"
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
}