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devel/py-cf-xarray: Add py-cf-xarray 0.10.0

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cf-xarray is a lightweight convenience wrapper for using CF attributes on xarray
objects.

For example you can use .cf.mean("latitude") instead of .mean("lat") if
appropriate attributes are set! This allows you to write code that does not
require knowledge of specific dimension or coordinate names particular to a
dataset.
This commit is contained in:
Po-Chuan Hsieh 2024-11-15 17:53:41 +08:00
parent bc30e6a77d
commit 5c2e1ccec3
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GPG Key ID: 9A4BD10F002DD04B
4 changed files with 38 additions and 0 deletions
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1
devel/Makefile
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@ -4603,6 +4603,7 @@
SUBDIR += py-cerberus
SUBDIR += py-cereslib
SUBDIR += py-certsrv
SUBDIR += py-cf-xarray
SUBDIR += py-cffi
SUBDIR += py-cfgv
SUBDIR += py-cfn-lint

27
devel/py-cf-xarray/Makefile Normal file
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@ -0,0 +1,27 @@
PORTNAME= cf-xarray
PORTVERSION= 0.10.0
CATEGORIES= devel python
MASTER_SITES= PYPI
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
DISTNAME= cf_xarray-${PORTVERSION}
MAINTAINER= sunpoet@FreeBSD.org
COMMENT= Convenience wrapper for using CF attributes on xarray objects
WWW= https://cf-xarray.readthedocs.io/en/latest/ \
https://github.com/xarray-contrib/cf-xarray
LICENSE= APACHE20
LICENSE_FILE= ${WRKSRC}/LICENSE
BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}setuptools>=45:devel/py-setuptools@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}setuptools-scm>=6.2:devel/py-setuptools-scm@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}wheel>=0:devel/py-wheel@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}xarray>=2022.03.0:devel/py-xarray@${PY_FLAVOR}
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}xarray>=2022.03.0:devel/py-xarray@${PY_FLAVOR}
USES= python
USE_PYTHON= autoplist concurrent pep517
NO_ARCH= yes
.include <bsd.port.mk>

3
devel/py-cf-xarray/distinfo Normal file
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@ -0,0 +1,3 @@
TIMESTAMP = 1730724820
SHA256 (cf_xarray-0.10.0.tar.gz) = 7b45319fc315175854c9e701a84ebb795eb4b2764a2d05bd2d9d3ea87d004d18
SIZE (cf_xarray-0.10.0.tar.gz) = 511869

7
devel/py-cf-xarray/pkg-descr Normal file
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@ -0,0 +1,7 @@
cf-xarray is a lightweight convenience wrapper for using CF attributes on xarray
objects.
For example you can use .cf.mean("latitude") instead of .mean("lat") if
appropriate attributes are set! This allows you to write code that does not
require knowledge of specific dimension or coordinate names particular to a
dataset.