blob: fd193a5c0249bd68fb685b8e0d4e9a171c7b50ec (
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
|
# Copyright 1999-2020 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=7
PYTHON_COMPAT=( python3_{6,7} )
PYTHON_REQ_USE="threads(+)"
VIRTUALX_REQUIRED="manual"
inherit distutils-r1 eutils flag-o-matic virtualx
DESCRIPTION="Powerful data structures for data analysis and statistics"
HOMEPAGE="https://pandas.pydata.org/"
SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P/_/}.tar.gz"
SLOT="0"
LICENSE="BSD"
KEYWORDS="amd64 x86 ~amd64-linux ~x86-linux"
IUSE="doc full-support minimal test X"
RESTRICT="!test? ( test )"
RECOMMENDED_DEPEND="
>=dev-python/bottleneck-1.2.1[${PYTHON_USEDEP}]
>=dev-python/numexpr-2.1[${PYTHON_USEDEP}]
"
# TODO: add pandas-gbq to the tree
OPTIONAL_DEPEND="
dev-python/beautifulsoup:4[${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/s3fs[${PYTHON_USEDEP}]
dev-python/statsmodels[${PYTHON_USEDEP}]
>=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}]
>=dev-python/xarray-0.10.8[${PYTHON_USEDEP}]
>=dev-python/xlrd-1.0.0[${PYTHON_USEDEP}]
dev-python/xlwt[${PYTHON_USEDEP}]
>=sci-libs/scipy-1.1[${PYTHON_USEDEP}]
X? (
|| (
dev-python/PyQt5[${PYTHON_USEDEP}]
x11-misc/xclip
x11-misc/xsel
)
)
"
COMMON_DEPEND="
>dev-python/numpy-1.13.1[${PYTHON_USEDEP}]
dev-python/python-dateutil[${PYTHON_USEDEP}]
dev-python/pytz[${PYTHON_USEDEP}]
"
DEPEND="${COMMON_DEPEND}
dev-python/setuptools[${PYTHON_USEDEP}]
dev-python/cython[${PYTHON_USEDEP}]
doc? (
${VIRTUALX_DEPEND}
app-text/pandoc
dev-python/beautifulsoup:4[${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[${PYTHON_USEDEP}]
sci-libs/scipy[${PYTHON_USEDEP}]
x11-misc/xclip
)
test? (
${VIRTUALX_DEPEND}
${RECOMMENDED_DEPEND}
${OPTIONAL_DEPEND}
dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
dev-python/hypothesis[${PYTHON_USEDEP}]
dev-python/nose[${PYTHON_USEDEP}]
dev-python/pymysql[${PYTHON_USEDEP}]
dev-python/pytest[${PYTHON_USEDEP}]
dev-python/pytest-mock[${PYTHON_USEDEP}]
dev-python/psycopg:2[${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? ( ${OPTIONAL_DEPEND} )
"
S="${WORKDIR}/${P/_/}"
PATCHES=(
"${FILESDIR}/${PN}-0.24.2-skip-broken-test.patch"
)
python_prepare_all() {
# Prevent un-needed download during build
sed -e "/^ 'sphinx.ext.intersphinx',/d" \
-i doc/source/conf.py || die
distutils-r1_python_prepare_all
}
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 ${EPYTHON} make.py html
fi
}
python_test() {
pushd "${BUILD_DIR}"/lib > /dev/null
"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
PYTHONPATH=. virtx pytest pandas -v --skip-slow --skip-network \
-m "not single"
popd > /dev/null
}
python_install_all() {
if use doc; then
dodoc -r "${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/beautifulsoup:4 dev-python/html5lib dev-python/lxml
optfeature "for msgpack compression using blosc" dev-python/blosc
optfeature "necessary for Amazon S3 access" dev-python/s3fs
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-1.6.1" 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-0.8.1"
optfeature "miscellaneous statistical functions" sci-libs/scipy
optfeature "necessary to use pandas.io.clipboard.read_clipboard support" dev-python/PyQt5 dev-python/pygtk x11-misc/xclip x11-misc/xsel
}
|
GitWeb