Add py-xarray011 0.11.3 (copied from py-xarray)

- Add PORTSCOUT
This commit is contained in:
Sunpoet Po-Chuan Hsieh 2019-03-17 18:57:57 +00:00
parent af7d77a959
commit 6ebbe9e792
Notes: svn2git 2021-03-31 03:12:20 +00:00
svn path=/head/; revision=496089
4 changed files with 50 additions and 0 deletions

View file

@ -5280,6 +5280,7 @@
SUBDIR += py-wsgiutils
SUBDIR += py-wsme
SUBDIR += py-xarray
SUBDIR += py-xarray011
SUBDIR += py-xattr
SUBDIR += py-xcaplib
SUBDIR += py-xdg

View file

@ -0,0 +1,34 @@
# Created by: Po-Chuan Hsieh <sunpoet@FreeBSD.org>
# $FreeBSD$
PORTNAME= xarray
PORTVERSION= 0.11.3
CATEGORIES= devel python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
PKGNAMESUFFIX= 011
MAINTAINER= sunpoet@FreeBSD.org
COMMENT= N-D labeled arrays and datasets in Python
LICENSE= APACHE20
LICENSE_FILE= ${WRKSRC}/LICENSE
RUN_DEPENDS= ${PYNUMPY} \
${PYTHON_PKGNAMEPREFIX}pandas>=0.19.2:math/py-pandas@${PY_FLAVOR}
TEST_DEPENDS= ${PYTHON_PKGNAMEPREFIX}pytest>=2.7.1:devel/py-pytest@${PY_FLAVOR}
USES= python
USE_PYTHON= autoplist concurrent distutils
NO_ARCH= yes
PORTSCOUT= limit:^0\.11\.
.include <bsd.port.pre.mk>
.if ${PYTHON_REL} < 3000
TEST_DEPENDS+= ${PYTHON_PKGNAMEPREFIX}mock>=0:devel/py-mock@${PY_FLAVOR}
.endif
.include <bsd.port.post.mk>

View file

@ -0,0 +1,3 @@
TIMESTAMP = 1548611911
SHA256 (xarray-0.11.3.tar.gz) = cc3dceb680d67746168c46771e4aa7d2624519a7faf120421f16d6ddfdb984dd
SIZE (xarray-0.11.3.tar.gz) = 1720693

View file

@ -0,0 +1,12 @@
xarray (formerly xray) is an open source project and Python package that aims to
bring the labeled data power of pandas to the physical sciences, by providing
N-dimensional variants of the core pandas data structures.
Our goal is to provide a pandas-like and pandas-compatible toolkit for analytics
on multi-dimensional arrays, rather than the tabular data for which pandas
excels. Our approach adopts the Common Data Model for self- describing
scientific data in widespread use in the Earth sciences: xarray.Dataset is an
in-memory representation of a netCDF file.
WWW: https://pypi.org/project/xarray/
WWW: https://github.com/pydata/xarray