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authorLiguros - Gitlab CI/CD [develop] <gitlab@liguros.net>2026-01-15 19:27:11 +0000
committerLiguros - Gitlab CI/CD [develop] <gitlab@liguros.net>2026-01-15 19:27:11 +0000
commit12c3c12b381ac14ce11e9db42e5a655a162a12fe (patch)
treea2fd6290fec8a97a499132e22fbabb390b8b76e4 /dev-python/pandas
parentc9b4bdbc36492fc6413d2a5c81302e75e9fcd790 (diff)
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Diffstat (limited to 'dev-python/pandas')
-rw-r--r--dev-python/pandas/Manifest2
-rw-r--r--dev-python/pandas/pandas-3.0.0_rc2.ebuild200
2 files changed, 202 insertions, 0 deletions
diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index c932140819c3..9344b9878214 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -5,3 +5,5 @@ DIST pandas-2.3.2.tar.gz 4488684 BLAKE2B d63a81eb06806ed80847322741f0e3e34c8a51a
DIST pandas-2.3.3.tar.gz 4495223 BLAKE2B c31604617900d439020dcdd66fcbca1cf3b720b6f4dd8ea51891946ad04774754cf7636a2ffb9fe746d15911a88153d36d4033b6a0207e9c7a1653a0f677570d SHA512 4179acb9fd9d1c5d543bb19b22483b4c2b17a36d5b10270a02ff4d8370b43c16a93673bf5509a5b1d1c960c0fde9238bbbf5b309c6745d2abf3d934535f3fd85
DIST pandas-3.0.0rc1.tar.gz 4591349 BLAKE2B c724a6415d3769e23166e845a86554d4ec359b79c68a5714495def119dd3228a5b2c428757c7ea8e78e713623b222ef9ecec1908520f8cdc3080c595ecfcdf5a SHA512 e30ec13c82ad93f841c339d5c73d4574c37ee40adfea1d6bbe50c7281ad50715b772f90650a98c8f61c7445f2a055e715f2375d1e1ff694b90cffd14a3a0fd36
DIST pandas-3.0.0rc1.tar.gz.provenance 9566 BLAKE2B c959e091ed7e67c746539a34da5f0991cc3a3e713834e9d017dc0790d827634063d0881e62767ff9abeb4450eba826e11967b0ccdc6c61933c3a4bc6929943f0 SHA512 b4720fd67511b5f3d5b1b5a5232a812d4d4785e8b7ec8cea69b19d46e31c6652ba174361571bf08a488a945f07c8c384d3e26ef3cccb7ddb7f8538e9e9460fd0
+DIST pandas-3.0.0rc2.tar.gz 4611940 BLAKE2B 274813d9616479e061290b63a2863711c413324e6aaf376129f5a63144829c51f4d7d6c49558f92501514dae0c2f4d0bd0f1b4f5572ddc1192871df29bc33f4a SHA512 7bd899bb1dc9bd2146e0d409912631ab962bebe4990d3e97a823adf669ac1c9fac4ccf4b2923aaafe461932302efe256aea77f28e0df8808651b415d27e22fa4
+DIST pandas-3.0.0rc2.tar.gz.provenance 9519 BLAKE2B e2b5396777786534b897550c9ec6834f2dbcfad5e9afb6f6d186b93f34cef6fb097ba34a67974a6acdd327de74b9cbf6e4a4fc6a582ada1bb031a62c9fda7a1f SHA512 68d1037ceb78f0ddc2cfa260c48903d3721af81ace37bceb566f390ac23a8396d5fa5d6f6b51ac6854c8bf09587afbd9f99105f5709ae622ffcfe4ba7c3732b1
diff --git a/dev-python/pandas/pandas-3.0.0_rc2.ebuild b/dev-python/pandas/pandas-3.0.0_rc2.ebuild
new file mode 100644
index 000000000000..d164de0ae2e6
--- /dev/null
+++ b/dev-python/pandas/pandas-3.0.0_rc2.ebuild
@@ -0,0 +1,200 @@
+# Copyright 1999-2026 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=8
+
+DISTUTILS_EXT=1
+DISTUTILS_USE_PEP517=meson-python
+PYPI_VERIFY_REPO=https://github.com/pandas-dev/pandas
+PYTHON_COMPAT=( python3_{10..14} )
+PYTHON_REQ_USE="threads(+)"
+
+VIRTUALX_REQUIRED="manual"
+
+inherit distutils-r1 optfeature pypi toolchain-funcs 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/
+"
+
+LICENSE="BSD"
+SLOT="0"
+if [[ ${PV} != *_rc* ]]; then
+ KEYWORDS="~amd64 ~arm64 ~riscv ~x86"
+fi
+IUSE="big-endian full-support minimal test X"
+RESTRICT="!test? ( test )"
+
+RECOMMENDED_DEPEND="
+ >=dev-python/bottleneck-1.3.4[${PYTHON_USEDEP}]
+ >=dev-python/numexpr-2.8.0[${PYTHON_USEDEP}]
+"
+
+# TODO: add pandas-gbq to the tree
+# TODO: Re-add dev-python/statsmodel[python3_11] dep once it supports python3_11
+# https://github.com/statsmodels/statsmodels/issues/8287
+OPTIONAL_DEPEND="
+ >=dev-python/beautifulsoup4-4.14.2[${PYTHON_USEDEP}]
+ dev-python/blosc[${PYTHON_USEDEP}]
+ >=dev-python/html5lib-1.1[${PYTHON_USEDEP}]
+ >=dev-python/jinja2-3.1.2[${PYTHON_USEDEP}]
+ >=dev-python/lxml-4.8.0[${PYTHON_USEDEP}]
+ >=dev-python/matplotlib-3.6.1[${PYTHON_USEDEP}]
+ >=dev-python/openpyxl-3.0.7[${PYTHON_USEDEP}]
+ >=dev-python/sqlalchemy-1.4.36[${PYTHON_USEDEP}]
+ >=dev-python/tabulate-0.8.10[${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}]
+ !arm? ( !hppa? ( !ppc? ( !x86? (
+ >=dev-python/scipy-1.8.1[${PYTHON_USEDEP}]
+ dev-python/statsmodels[${PYTHON_USEDEP}]
+ ) ) ) )
+ !big-endian? (
+ >=dev-python/tables-3.7.0[${PYTHON_USEDEP}]
+ )
+ X? (
+ || (
+ >=dev-python/pyqt5-5.15.6[${PYTHON_USEDEP}]
+ >=dev-python/qtpy-2.2.0[${PYTHON_USEDEP}]
+ x11-misc/xclip
+ x11-misc/xsel
+ )
+ )
+"
+DEPEND="
+ >=dev-python/numpy-2.0.0:=[${PYTHON_USEDEP}]
+"
+COMMON_DEPEND="
+ ${DEPEND}
+ >=dev-python/python-dateutil-2.8.2[${PYTHON_USEDEP}]
+"
+BDEPEND="
+ ${COMMON_DEPEND}
+ >=dev-build/meson-1.2.1
+ >=dev-python/cython-3.0.5[${PYTHON_USEDEP}]
+ >=dev-python/versioneer-0.28[${PYTHON_USEDEP}]
+ test? (
+ ${VIRTUALX_DEPEND}
+ ${RECOMMENDED_DEPEND}
+ ${OPTIONAL_DEPEND}
+ dev-libs/apache-arrow[brotli,parquet,snappy]
+ >=dev-python/beautifulsoup4-4.14.2[${PYTHON_USEDEP}]
+ >=dev-python/hypothesis-6.46.1[${PYTHON_USEDEP}]
+ >=dev-python/openpyxl-3.0.10[${PYTHON_USEDEP}]
+ >=dev-python/pyarrow-10.0.1[parquet,${PYTHON_USEDEP}]
+ >=dev-python/pymysql-1.0.2[${PYTHON_USEDEP}]
+ >=dev-python/xlsxwriter-3.0.3[${PYTHON_USEDEP}]
+ x11-misc/xclip
+ x11-misc/xsel
+ )
+"
+RDEPEND="
+ ${COMMON_DEPEND}
+ !minimal? ( ${RECOMMENDED_DEPEND} )
+ full-support? ( ${OPTIONAL_DEPEND} )
+"
+
+EPYTEST_PLUGINS=()
+EPYTEST_XDIST=1
+distutils_enable_tests pytest
+
+src_test() {
+ virtx distutils-r1_src_test
+}
+
+python_test() {
+ # Note; deselects relative to pandas/
+ local EPYTEST_DESELECT=(
+ # missing data not covered by --no-strict-data-files?
+ # https://github.com/pandas-dev/pandas/issues/63437
+ tests/io/test_common.py::test_read_csv_chained_url_no_error
+
+ # require -Werror
+ # https://github.com/pandas-dev/pandas/pull/63436
+ tests/config/test_config.py::TestConfig::test_case_insensitive
+
+ # deprecation warning
+ 'tests/computation/test_eval.py::TestEval::test_scalar_unary[numexpr-pandas]'
+ )
+
+ if ! tc-has-64bit-time_t; then
+ EPYTEST_DESELECT+=(
+ # 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]'
+ )
+ fi
+
+ if ! has_version "dev-python/scipy[${PYTHON_USEDEP}]"; then
+ EPYTEST_DESELECT+=(
+ tests/plotting/test_misc.py::test_savefig
+ )
+ fi
+
+ case ${EPYTHON} in
+ python3.14)
+ EPYTEST_DESELECT+=(
+ 'tests/computation/test_eval.py::TestEval::test_simple_cmp_ops[float-float-numexpr-pandas-in]'
+ 'tests/computation/test_eval.py::TestEval::test_simple_cmp_ops[float-float-numexpr-pandas-not in]'
+ 'tests/computation/test_eval.py::TestEval::test_simple_cmp_ops[float-float-python-pandas-in]'
+ 'tests/computation/test_eval.py::TestEval::test_simple_cmp_ops[float-float-python-pandas-not in]'
+ 'tests/computation/test_eval.py::TestEval::test_compound_invert_op[float-float-numexpr-pandas-in]'
+ 'tests/computation/test_eval.py::TestEval::test_compound_invert_op[float-float-numexpr-pandas-not in]'
+ 'tests/computation/test_eval.py::TestEval::test_compound_invert_op[float-float-python-pandas-in]'
+ 'tests/computation/test_eval.py::TestEval::test_compound_invert_op[float-float-python-pandas-not in]'
+ 'tests/computation/test_eval.py::TestOperations::test_simple_arith_ops[numexpr-pandas]'
+ 'tests/computation/test_eval.py::TestOperations::test_simple_arith_ops[python-pandas]'
+ )
+ ;;
+ esac
+
+ local -x LC_ALL=C.UTF-8
+ cd "${BUILD_DIR}/install$(python_get_sitedir)" || die
+ "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
+ # nonfatal from virtx
+ # --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
+ nonfatal epytest pandas/tests \
+ --no-strict-data-files -o xfail_strict=false \
+ -m "not single_cpu and not slow and not network and not db" ||
+ die "Tests failed with ${EPYTHON}"
+}
+
+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/jinja2
+ 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/rpy2
+ 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 x11-misc/xclip x11-misc/xsel
+}