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pkgsrc/devel/py-tabular/Makefile

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Remove unnecessary PLIST_SUBST and FILES_SUBST that are now provided by the infrastructure. Mark a couple more packages as not ready for python-3.x.
2016-08-28 17:48:28 +02:00
# $NetBSD: Makefile,v 1.7 2016/08/28 15:48:31 wiz Exp $
Import Python module "tabular" version 0.1 as py-tabular. Tabular data can be easily represented in Python using the language's native objects. These representations typically do not support important tabular data manipulations, like efficient column selection, matrix mathematics, or spreadsheet-style operations. Tabular is a package of Python modules for working with tabular data. Its main object is the tabarray class, a data structure for holding and manipulating tabular data. By putting data into a tabarray object, you'll get a representation of the data that is more flexible and powerful than a native Python representation. Tabarray provides: . ultra-fast filtering, selection, and numerical analysis methods, using convenient Matlab-style matrix operation syntax . spreadsheet-style operations, including row & column operations, 'sort', 'replace', 'aggregate', 'pivot', and 'join' . flexible load and save methods for a variety of file formats, including delimited text (CSV), binary, and HTML . sophisticated inference algorithms for determining formatting parameters and data types of input files
2013-06-02 03:47:54 +02:00
DISTNAME= tabular-0.1
PKGNAME= ${PYPKGPREFIX}-${DISTNAME}
CATEGORIES= devel python
Switch to MASTER_SITES_PYPI.
2016-06-08 19:43:20 +02:00
MASTER_SITES= ${MASTER_SITE_PYPI:=t/tabular/}
Import Python module "tabular" version 0.1 as py-tabular. Tabular data can be easily represented in Python using the language's native objects. These representations typically do not support important tabular data manipulations, like efficient column selection, matrix mathematics, or spreadsheet-style operations. Tabular is a package of Python modules for working with tabular data. Its main object is the tabarray class, a data structure for holding and manipulating tabular data. By putting data into a tabarray object, you'll get a representation of the data that is more flexible and powerful than a native Python representation. Tabarray provides: . ultra-fast filtering, selection, and numerical analysis methods, using convenient Matlab-style matrix operation syntax . spreadsheet-style operations, including row & column operations, 'sort', 'replace', 'aggregate', 'pivot', and 'join' . flexible load and save methods for a variety of file formats, including delimited text (CSV), binary, and HTML . sophisticated inference algorithms for determining formatting parameters and data types of input files
2013-06-02 03:47:54 +02:00
MAINTAINER= dholland@NetBSD.org
HOMEPAGE= http://pypi.python.org/pypi/tabular
COMMENT= Tabular data tools for Python
LICENSE= mit
Remove python33: adapt all packages that refer to it.
2016-07-09 15:03:30 +02:00
PYTHON_VERSIONS_INCOMPATIBLE= 34 35 # not yet ported as of 0.1
Mark packages as not ready for python-3.x where applicable; either because they themselves are not ready or because a dependency isn't. This is annotated by PYTHON_VERSIONS_INCOMPATIBLE= 33 # not yet ported as of x.y.z or PYTHON_VERSIONS_INCOMPATIBLE= 33 # py-foo, py-bar respectively, please use the same style for other packages, and check during updates. Use versioned_dependencies.mk where applicable. Use REPLACE_PYTHON instead of handcoded alternatives, where applicable. Reorder Makefile sections into standard order, where applicable. Remove PYTHON_VERSIONS_INCLUDE_3X lines since that will be default with the next commit. Whitespace cleanups and other nits corrected, where necessary.
2014-01-25 11:29:56 +01:00
Import Python module "tabular" version 0.1 as py-tabular. Tabular data can be easily represented in Python using the language's native objects. These representations typically do not support important tabular data manipulations, like efficient column selection, matrix mathematics, or spreadsheet-style operations. Tabular is a package of Python modules for working with tabular data. Its main object is the tabarray class, a data structure for holding and manipulating tabular data. By putting data into a tabarray object, you'll get a representation of the data that is more flexible and powerful than a native Python representation. Tabarray provides: . ultra-fast filtering, selection, and numerical analysis methods, using convenient Matlab-style matrix operation syntax . spreadsheet-style operations, including row & column operations, 'sort', 'replace', 'aggregate', 'pivot', and 'join' . flexible load and save methods for a variety of file formats, including delimited text (CSV), binary, and HTML . sophisticated inference algorithms for determining formatting parameters and data types of input files
2013-06-02 03:47:54 +02:00
.include "../../graphics/py-matplotlib/buildlink3.mk"
BUILDLINK_API_DEPENDS.pynumpy+= ${PYPKGPREFIX}-numpy>=1.6
Remove unnecessary PLIST_SUBST and FILES_SUBST that are now provided by the infrastructure. Mark a couple more packages as not ready for python-3.x.
2016-08-28 17:48:28 +02:00
.include "../../math/py-numpy/buildlink3.mk"
Import Python module "tabular" version 0.1 as py-tabular. Tabular data can be easily represented in Python using the language's native objects. These representations typically do not support important tabular data manipulations, like efficient column selection, matrix mathematics, or spreadsheet-style operations. Tabular is a package of Python modules for working with tabular data. Its main object is the tabarray class, a data structure for holding and manipulating tabular data. By putting data into a tabarray object, you'll get a representation of the data that is more flexible and powerful than a native Python representation. Tabarray provides: . ultra-fast filtering, selection, and numerical analysis methods, using convenient Matlab-style matrix operation syntax . spreadsheet-style operations, including row & column operations, 'sort', 'replace', 'aggregate', 'pivot', and 'join' . flexible load and save methods for a variety of file formats, including delimited text (CSV), binary, and HTML . sophisticated inference algorithms for determining formatting parameters and data types of input files
2013-06-02 03:47:54 +02:00
.include "../../lang/python/egg.mk"
.include "../../mk/bsd.pkg.mk"
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