summaryrefslogtreecommitdiff
path: root/dev-python/pandas
diff options
context:
space:
mode:
authorV3n3RiX <venerix@koprulu.sector>2024-06-08 00:08:11 +0100
committerV3n3RiX <venerix@koprulu.sector>2024-06-08 00:08:11 +0100
commitadc09cc4e6ebf7931735c02c0c272b4b885c2b30 (patch)
treed1e752b60c2ed90ae9e427cbe2b07061e3879191 /dev-python/pandas
parent941687623283212199cbe6e36f7d61b89d6222b2 (diff)
gentoo auto-resync : 08:06:2024 - 00:08:11
Diffstat (limited to 'dev-python/pandas')
-rw-r--r--dev-python/pandas/Manifest8
-rw-r--r--dev-python/pandas/pandas-2.2.1-r1.ebuild6
-rw-r--r--dev-python/pandas/pandas-2.2.1.ebuild6
-rw-r--r--dev-python/pandas/pandas-2.2.2-r1.ebuild22
-rw-r--r--dev-python/pandas/pandas-2.2.2.ebuild6
5 files changed, 35 insertions, 13 deletions
diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index 98186bcd9458..293f2bfb6d80 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -1,7 +1,7 @@
DIST pandas-2.2.1.tar.gz 4395256 BLAKE2B 7f66c2995699832930a626ff01b3b39bafa0bd19f41245b8b49bbf5a1b78663433060f4d94817498494b6cf66d38dde27da64e196c6400e50f30441d7e51991b SHA512 8e6af4793d8b77e5c86a22c88f999dba63b1cc1954f5148bdb8c9b1bfe4e7fc5004de7d0f035b2d651f56c44b28ba4b0bd304f9c9122426cc37fb97596e13746
DIST pandas-2.2.2.tar.gz 4398391 BLAKE2B 6b723d85c500abaca4d833e4fb329d9a495e3e8ae51c74632111b139ed38ca9e26087ba43ecc40d68f66613352dc140bb2f1b0cbb92915bb027548886072fc79 SHA512 85b006f96bd6400aeea2ec29df3557ea6c4bfee0a7aebb172547a43171dc0e7682d15f798081846a4f464559ab83f579cfe06d66d4b5c0cb0fb2975c2ef98f9c
-EBUILD pandas-2.2.1-r1.ebuild 9146 BLAKE2B da78b2cf5dc66dd8a9178c3d2a3b1d1d45bdf14f7ee317c5171add626a45200d2506e11e667bd7b1d70d87cb63353af7e7fb322e8747373ca17732bba5e31095 SHA512 b729fdacc12baf37706fc16c74b215dc300446d25396948f8c779dac95493ede6313bf63432e23f92c34e40fd183bfd864ca1febbdfae378340fd7c8f3f4142a
-EBUILD pandas-2.2.1.ebuild 9273 BLAKE2B 2934008bb822cd69f15b8c9c7ee6ff161c71c9d57a86c283d777fa796f5eb0e403b8a8ba19e0c6c88756889ccbc49647909ef83531f5f55e815ac08b0a20888d SHA512 2b80bdcdf5fc8db6ce4361c4cf80ac1ae984791fa845e3094742c045c874c244364dfb527c8f52dce2d222ad39b3bfc301bf8775d28e340cdbe9c767aa82b60d
-EBUILD pandas-2.2.2-r1.ebuild 9128 BLAKE2B abe3abff3abf5eab7e67b506e5645ce0f0a6d3004c7494b6095a6c43618ca413d2b6e6b38438ca85cde2167f3d76806f161be40869d9c5ac59ab440b6eda0e14 SHA512 45a3410555c810fe7bb5da507f29a959e8f18e19fd33b7c725d410543e1a12f672fc7ac6fcfa829309abd5a67f4daf4ca977862f6257cbe1c76444148eedc593
-EBUILD pandas-2.2.2.ebuild 9212 BLAKE2B d8efbefca721c9bc8fb3e78c5efbdbc1aa426d05a4d38182db09298ba31d9378e7b40930a37c10c2c92aa508e8bb96fe887e26bcb05e2c49e8522a42cc4ddb40 SHA512 9647c0c01bd055a730e45199fb4d315ef79744ef56c6182f808dc86f50820df62b96bb14797cf313c28c2fff394e5c607bf6f4714ada0310d79108595c3cd5fe
+EBUILD pandas-2.2.1-r1.ebuild 9177 BLAKE2B 498f9d5a24d850aa5aadd872b35658ef0fac5b928cc096493cf0c5635863de25b943403d67fc9b581ef4cf7ea82116efc58d264abc06924980f3b83cec54a12e SHA512 904798c7dfbc30e984507112d34f0bf188333b5c3cfd00cce776ce6ccd98ca29448cc4edd7d137c206955da141e8457e902b7edb648247f5adc832957c6debe1
+EBUILD pandas-2.2.1.ebuild 9304 BLAKE2B f81de24285157a242de3df743a348d14dfb2fb0d14d79e8d2ee637cca9d4e5f415e20f53e7c5a9986be77116bc29e7348c096a4efaef248dbfb493232baecc00 SHA512 c59b008470a866f8a780dca81f746a2707f3c9838b39388688443928180b48ecc640a7b7dcaf56c3104f6f6a2b7bb619fc7763b12cb462e720942aa602a1d4f0
+EBUILD pandas-2.2.2-r1.ebuild 10042 BLAKE2B d28dc897d25c94f5910054221b80b23e02e0687e6b92069742283d4bac0cc75127c634b0137b3e6346af574f385aa4a0ba37b1d75bb773f87854288c8bfd6ea2 SHA512 09c2708e2feab20e8023ca2c787f96a528b7064c4b5c1f903c84881c273b7d6946bfddce8dad34c27c5ab0e7f720a53eacf80058479411dcd4e849df55ac36aa
+EBUILD pandas-2.2.2.ebuild 9243 BLAKE2B c04dd7eb129f7e094ee8f9a7e4a7ca8ca0c43ed4930fb8743ad31bbacdb91cdd396d03f8b8bb02a7008533197e1c995dd65ddcb1ff60d49f8b82b9db5f49a140 SHA512 3f520f3a73359bcee8445eedfdbcf57af9af7044ac2f1921df0b74ddc0ae2c17801f4ddd3b728ad6acd55020e543ab61464be4cdfd203a7878cc7642cd7803ce
MISC metadata.xml 920 BLAKE2B d6bd854acdd851d578038657d91adaedf4f220dbdc5905ebba5e35e74437c6d5bc2384061f7796a6f359aa128c526485635debfd0e1a9646d09daed740167c87 SHA512 dcd949e89cae9df918acb3cf8be5ad8c396ee5e646d2179aa2b646fafa15ffc11e9ccf853df8d7fdcc787f88ce7063639d8d87715aaba943774edc8ad98b540a
diff --git a/dev-python/pandas/pandas-2.2.1-r1.ebuild b/dev-python/pandas/pandas-2.2.1-r1.ebuild
index 360e1d07a141..d7f511b19791 100644
--- a/dev-python/pandas/pandas-2.2.1-r1.ebuild
+++ b/dev-python/pandas/pandas-2.2.1-r1.ebuild
@@ -22,7 +22,7 @@ HOMEPAGE="
LICENSE="BSD"
SLOT="0"
KEYWORDS="~amd64 ~hppa ~riscv"
-IUSE="full-support minimal test X"
+IUSE="big-endian full-support minimal test X"
RESTRICT="!test? ( test )"
RECOMMENDED_DEPEND="
@@ -42,7 +42,6 @@ OPTIONAL_DEPEND="
>=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[${PYTHON_USEDEP}]
@@ -52,6 +51,9 @@ OPTIONAL_DEPEND="
>=dev-python/scipy-1.8.1[${PYTHON_USEDEP}]
dev-python/statsmodels[${PYTHON_USEDEP}]
) ) ) )
+ !big-endian? (
+ >=dev-python/tables-3.7.0[${PYTHON_USEDEP}]
+ )
X? (
|| (
>=dev-python/PyQt5-5.15.6[${PYTHON_USEDEP}]
diff --git a/dev-python/pandas/pandas-2.2.1.ebuild b/dev-python/pandas/pandas-2.2.1.ebuild
index 2f918de587c8..48f9b26fe9a6 100644
--- a/dev-python/pandas/pandas-2.2.1.ebuild
+++ b/dev-python/pandas/pandas-2.2.1.ebuild
@@ -22,7 +22,7 @@ HOMEPAGE="
LICENSE="BSD"
SLOT="0"
KEYWORDS="amd64 arm64 ~hppa ~loong ~riscv x86"
-IUSE="full-support minimal test X"
+IUSE="big-endian full-support minimal test X"
RESTRICT="!test? ( test )"
RECOMMENDED_DEPEND="
@@ -42,7 +42,6 @@ OPTIONAL_DEPEND="
>=dev-python/matplotlib-3.6.1[${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}]
@@ -52,6 +51,9 @@ OPTIONAL_DEPEND="
>=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}]
diff --git a/dev-python/pandas/pandas-2.2.2-r1.ebuild b/dev-python/pandas/pandas-2.2.2-r1.ebuild
index de3fa4b71cbf..30280685ccba 100644
--- a/dev-python/pandas/pandas-2.2.2-r1.ebuild
+++ b/dev-python/pandas/pandas-2.2.2-r1.ebuild
@@ -22,7 +22,7 @@ HOMEPAGE="
LICENSE="BSD"
SLOT="0"
KEYWORDS="~amd64 ~arm64 ~hppa ~loong ~riscv ~x86"
-IUSE="full-support minimal test X"
+IUSE="big-endian full-support minimal test X"
RESTRICT="!test? ( test )"
RECOMMENDED_DEPEND="
@@ -42,7 +42,6 @@ OPTIONAL_DEPEND="
>=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[${PYTHON_USEDEP}]
@@ -52,6 +51,9 @@ OPTIONAL_DEPEND="
>=dev-python/scipy-1.8.1[${PYTHON_USEDEP}]
dev-python/statsmodels[${PYTHON_USEDEP}]
) ) ) )
+ !big-endian? (
+ >=dev-python/tables-3.7.0[${PYTHON_USEDEP}]
+ )
X? (
|| (
>=dev-python/PyQt5-5.15.6[${PYTHON_USEDEP}]
@@ -175,6 +177,9 @@ python_test() {
# assumes that it will fail due to -mfpmath=387 on 32-bit arches,
# so it XPASS-es in every other scenario
tests/tools/test_to_timedelta.py::TestTimedeltas::test_to_timedelta_float
+
+ # newer matplotlib?
+ tests/plotting/frame/test_frame.py::TestDataFramePlots::test_group_subplot_invalid_column_name
)
if ! has_version "dev-python/scipy[${PYTHON_USEDEP}]"; then
@@ -183,6 +188,17 @@ python_test() {
)
fi
+ if has_version ">=dev-python/numexpr-2.10[${PYTHON_USEDEP}]"; then
+ EPYTEST_DESELECT+=(
+ 'tests/computation/test_eval.py::TestTypeCasting::test_binop_typecasting[numexpr-python-left_right0-float64-/]'
+ 'tests/computation/test_eval.py::TestTypeCasting::test_binop_typecasting[numexpr-python-left_right1-float64-/]'
+ 'tests/computation/test_eval.py::TestTypeCasting::test_binop_typecasting[numexpr-pandas-left_right0-float64-/]'
+ 'tests/computation/test_eval.py::TestTypeCasting::test_binop_typecasting[numexpr-pandas-left_right1-float64-/]'
+ 'tests/computation/test_eval.py::TestOperations::test_simple_arith_ops[numexpr-python]'
+ 'tests/computation/test_eval.py::TestOperations::test_simple_arith_ops[numexpr-pandas]'
+ )
+ fi
+
local -x LC_ALL=C.UTF-8
cd "${BUILD_DIR}/install$(python_get_sitedir)" || die
"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
@@ -191,7 +207,7 @@ python_test() {
# https://github.com/pandas-dev/pandas/issues/54907
local -x PYTEST_DISABLE_PLUGIN_AUTOLOAD=1
epytest pandas/tests \
- --no-strict-data-files \
+ --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 ${EPYTHON}"
rm test-data.xml test_stata.dta || die
diff --git a/dev-python/pandas/pandas-2.2.2.ebuild b/dev-python/pandas/pandas-2.2.2.ebuild
index 2b6004916e2d..9b6a5d2b7ffa 100644
--- a/dev-python/pandas/pandas-2.2.2.ebuild
+++ b/dev-python/pandas/pandas-2.2.2.ebuild
@@ -22,7 +22,7 @@ HOMEPAGE="
LICENSE="BSD"
SLOT="0"
KEYWORDS="amd64 ~arm64 ~hppa ~loong ~riscv x86"
-IUSE="full-support minimal test X"
+IUSE="big-endian full-support minimal test X"
RESTRICT="!test? ( test )"
RECOMMENDED_DEPEND="
@@ -42,7 +42,6 @@ OPTIONAL_DEPEND="
>=dev-python/matplotlib-3.6.1[${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}]
@@ -52,6 +51,9 @@ OPTIONAL_DEPEND="
>=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}]