blob: 1fecf64c6a2590cd153e3a17d2216a02948e67cd (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
|
# Copyright 1999-2023 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_USE_PEP517=setuptools
PYTHON_COMPAT=( python3_{9..11} )
PYTHON_REQ_USE="threads(+)"
VIRTUALX_REQUIRED="manual"
inherit distutils-r1 multiprocessing optfeature 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/
"
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 ~hppa ~ia64 ppc ppc64 ~riscv ~s390 ~sparc ~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
# 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[${PYTHON_USEDEP}]
dev-python/blosc[${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[${PYTHON_USEDEP}]
>=dev-python/xarray-0.12.3[${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}]
!hppa? (
$(python_gen_cond_dep '
dev-python/statsmodels[${PYTHON_USEDEP}]
' python3_{8..10} )
>=dev-python/scipy-1.1[${PYTHON_USEDEP}]
)
X? (
|| (
dev-python/PyQt5[${PYTHON_USEDEP}]
x11-misc/xclip
x11-misc/xsel
)
)
"
COMMON_DEPEND="
>=dev-python/numpy-1.21.0[${PYTHON_USEDEP}]
>=dev-python/python-dateutil-2.8.1-r3[${PYTHON_USEDEP}]
>=dev-python/pytz-2020.1[${PYTHON_USEDEP}]
"
DEPEND="
${COMMON_DEPEND}
>=dev-python/cython-0.29.32[${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-5.5.3[${PYTHON_USEDEP}]
dev-python/openpyxl[${PYTHON_USEDEP}]
dev-python/pymysql[${PYTHON_USEDEP}]
>=dev-python/pytest-6[${PYTHON_USEDEP}]
>=dev-python/pytest-xdist-1.31[${PYTHON_USEDEP}]
dev-python/psycopg:2[${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 ${EPYTHON} make.py html
fi
}
src_test() {
virtx distutils-r1_src_test
}
python_test() {
local EPYTEST_DESELECT=(
# test for rounding errors, fails if we have better precision
# e.g. on amd64 with FMA or on arm64
# https://github.com/pandas-dev/pandas/issues/38921
pandas/tests/window/test_rolling.py::test_rolling_var_numerical_issues
# TODO
pandas/tests/api/test_api.py::TestTesting::test_util_testing_deprecated
pandas/tests/api/test_api.py::TestTesting::test_util_testing_deprecated_direct
pandas/tests/io/test_clipboard.py::TestClipboard::test_raw_roundtrip
# TODO: xdist?
pandas/tests/test_expressions.py::TestExpressions::test_run_binary
# TODO: these require a running db server
pandas/tests/io/test_sql.py::TestMySQLAlchemy
pandas/tests/io/test_sql.py::TestMySQLAlchemyConn
pandas/tests/io/test_sql.py::TestPostgreSQLAlchemy
pandas/tests/io/test_sql.py::TestPostgreSQLAlchemyConn
# OOMs
pandas/tests/io/parser/test_c_parser_only.py::test_bytes_exceed_2gb
)
local -x LC_ALL=C.UTF-8
cd "${BUILD_DIR}/install$(python_get_sitedir)" || die
"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
epytest pandas --skip-slow --skip-network -m "not single" \
-n "$(makeopts_jobs)" || die "Tests failed with ${EPYTHON}"
}
python_install_all() {
if use doc; then
dodoc -r "${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
}
|