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# Copyright 1999-2023 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_EXT=1
DISTUTILS_USE_PEP517=meson-python
PYTHON_COMPAT=( python3_{10..12} )
PYTHON_REQ_USE="threads(+)"
VIRTUALX_REQUIRED="manual"
inherit distutils-r1 multiprocessing optfeature pypi virtualx
DESCRIPTION="Powerful data structures for data analysis and statistics"
HOMEPAGE="
https://pandas.pydata.org/
https://github.com/pandas-dev/pandas/
https://pypi.org/project/pandas/
"
SLOT="0"
LICENSE="BSD"
KEYWORDS="~amd64 ~arm ~arm64 ~hppa ~riscv ~sparc ~x86"
IUSE="full-support minimal test X"
RESTRICT="!test? ( test )"
RECOMMENDED_DEPEND="
>=dev-python/bottleneck-1.3.4[${PYTHON_USEDEP}]
>=dev-python/numexpr-2.8.0[${PYTHON_USEDEP}]
"
# TODO: add pandas-gbq to the tree
# TODO: Re-add dev-python/statsmodel[python3_11] dep once it supports python3_11
# https://github.com/statsmodels/statsmodels/issues/8287
OPTIONAL_DEPEND="
>=dev-python/beautifulsoup4-4.11.1[${PYTHON_USEDEP}]
dev-python/blosc[${PYTHON_USEDEP}]
>=dev-python/html5lib-1.1[${PYTHON_USEDEP}]
>=dev-python/jinja-3.1.2[${PYTHON_USEDEP}]
>=dev-python/lxml-4.8.0[${PYTHON_USEDEP}]
>=dev-python/matplotlib-3.6.1[${PYTHON_USEDEP}]
>=dev-python/openpyxl-3.0.7[${PYTHON_USEDEP}]
>=dev-python/sqlalchemy-1.4.36[${PYTHON_USEDEP}]
>=dev-python/tables-3.7.0[${PYTHON_USEDEP}]
>=dev-python/tabulate-0.8.10[${PYTHON_USEDEP}]
>=dev-python/xarray-2022.3.0[${PYTHON_USEDEP}]
>=dev-python/xlrd-2.0.1[${PYTHON_USEDEP}]
>=dev-python/xlsxwriter-3.0.3[${PYTHON_USEDEP}]
>=dev-python/xlwt-1.3.0[${PYTHON_USEDEP}]
!hppa? (
$(python_gen_cond_dep '
dev-python/statsmodels[${PYTHON_USEDEP}]
' python3_{8..10} )
>=dev-python/scipy-1.8.1[${PYTHON_USEDEP}]
)
X? (
|| (
>=dev-python/PyQt5-5.15.6[${PYTHON_USEDEP}]
>=dev-python/QtPy-2.2.0[${PYTHON_USEDEP}]
x11-misc/xclip
x11-misc/xsel
)
)
"
DEPEND="
>=dev-python/numpy-1.23.2[${PYTHON_USEDEP}]
"
COMMON_DEPEND="
${DEPEND}
>=dev-python/python-dateutil-2.8.2[${PYTHON_USEDEP}]
>=dev-python/pytz-2020.1[${PYTHON_USEDEP}]
"
BDEPEND="
${COMMON_DEPEND}
>=dev-util/meson-1.2.1
>=dev-python/cython-0.29.33[${PYTHON_USEDEP}]
>=dev-python/versioneer-0.28[${PYTHON_USEDEP}]
test? (
${VIRTUALX_DEPEND}
${RECOMMENDED_DEPEND}
${OPTIONAL_DEPEND}
>=dev-python/beautifulsoup4-4.11.1[${PYTHON_USEDEP}]
>=dev-python/hypothesis-6.46.1[${PYTHON_USEDEP}]
>=dev-python/openpyxl-3.0.10[${PYTHON_USEDEP}]
>=dev-python/pymysql-1.0.2[${PYTHON_USEDEP}]
>=dev-python/pytest-7.3.2[${PYTHON_USEDEP}]
>=dev-python/pytest-asyncio-0.17.0[${PYTHON_USEDEP}]
>=dev-python/pytest-xdist-2.2.0[${PYTHON_USEDEP}]
>=dev-python/psycopg-2.9.3:2[${PYTHON_USEDEP}]
>=dev-python/xlsxwriter-3.0.3[${PYTHON_USEDEP}]
x11-misc/xclip
x11-misc/xsel
)
"
RDEPEND="
${COMMON_DEPEND}
dev-python/tzdata[${PYTHON_USEDEP}]
!minimal? ( ${RECOMMENDED_DEPEND} )
full-support? ( ${OPTIONAL_DEPEND} )
"
PATCHES=(
# a quick hack, it's already fixed in main
"${FILESDIR}/pandas-2.1.1-which.patch"
)
src_test() {
virtx distutils-r1_src_test
}
python_test() {
local EPYTEST_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
tests/window/test_rolling.py::test_rolling_var_numerical_issues
# TODO; unhappy about DISPLAY?
tests/test_downstream.py::test_seaborn
# OOMs
tests/io/parser/test_c_parser_only.py::test_bytes_exceed_2gb
# TODO: numexpr says "forbidden control characters"
tests/computation/test_eval.py::TestOperations::test_multi_line_expression_local_variable
'tests/computation/test_eval.py::test_query_token[numexpr-Temp(\xb0C)]'
tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_lots_of_operators_string
tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_multiple_spaces
tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_parenthesis
tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_start_with_spaces
tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_local_syntax
tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_local_variable_with_in
tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_nested_scope
tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_query_scope
# TODO: missing data not covered by --no-strict-data-files?
tests/io/xml/test_xml.py::test_empty_stylesheet
tests/io/xml/test_xml.py::test_wrong_file_path
# TODO
tests/frame/test_arithmetic.py::TestFrameFlexArithmetic::test_floordiv_axis0_numexpr_path
# deprecation warning
tests/io/pytables/test_retain_attributes.py::test_retain_index_attributes2
# Needs 64-bit time_t (TODO: split into 32-bit arch only section)
tests/tseries/offsets/test_year.py::test_add_out_of_pydatetime_range
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessDay]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessHour]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessMonthEnd]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessMonthBegin]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BQuarterEnd]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BQuarterBegin]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessDay]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessHour]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessMonthEnd]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessMonthBegin]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-MonthEnd]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-MonthBegin]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-SemiMonthBegin]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-SemiMonthEnd]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-QuarterEnd]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-LastWeekOfMonth]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-WeekOfMonth]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-Week]'
# hdf / pytables have alignment problems: bug #911660
# https://github.com/pandas-dev/pandas/issues/54396
tests/io/pytables/test_append.py::test_append_frame_column_oriented
tests/io/pytables/test_store.py::test_select_filter_corner
# blosc2 version
tests/io/pytables/test_file_handling.py::test_complibs\[blosc2-{1..9}\]
)
case ${EPYTHON} in
python3.12)
EPYTEST_DESELECT+=(
tests/io/pytables/test_select.py::test_select_dtypes
tests/io/pytables/test_select.py::test_frame_select
# deprecation warnings
tests/io/excel/test_writers.py::TestRoundTrip::test_read_excel_parse_dates
)
;;
esac
local -x LC_ALL=C.UTF-8
cd "${BUILD_DIR}/install$(python_get_sitedir)" || die
"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
# --no-strict-data-files is necessary since upstream prevents data
# files from even being included in GitHub archives, sigh
# https://github.com/pandas-dev/pandas/issues/54907
epytest pandas/tests \
--no-strict-data-files \
--maxfail=32 \
-m "not single and not slow and not network" \
-n "$(makeopts_jobs)" --dist=worksteal ||
die "Tests failed with ${EPYTHON}"
rm test-data.xml || die
}
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-3.0.10" dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt
optfeature "necessary for HDF5-based storage" ">=dev-python/tables-3.7.0"
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-1.4.36"
optfeature "miscellaneous statistical functions" dev-python/scipy
optfeature "necessary to use pandas.io.clipboard.read_clipboard support" dev-python/PyQt5 dev-python/QtPy dev-python/pygtk x11-misc/xclip x11-misc/xsel
}
|
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