development/pandas: Added (Powerful data structures).

Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
This commit is contained in:
Dimitris Zlatanidis 2014-02-18 09:12:39 +07:00 committed by Erik Hanson
parent 6a0d4ed75e
commit 9da5bc0dff
4 changed files with 123 additions and 0 deletions

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Pandas is an open source, BSD-licensed library providing high-performance,
easy-to-use data structures and data analysis tools for the Python programming
language.
Recommended Dependencies:
numexpr: for accelerating certain numerical operations. numexpr uses multiple
cores as well as smart chunking and caching to achieve large speedups
bottleneck: for accelerating certain types of nan evaluations. bottleneck uses
specialized cython routines to achieve large speedups.

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#!/bin/sh
# Slackware build script for pandas
# Copyright 2014 Dimitris Zlatanidis Greece-Orestiada
# All rights reserved.
#
# Redistribution and use of this script, with or without modification, is
# permitted provided that the following conditions are met:
#
# 1. Redistributions of this script must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# THIS SOFTWARE IS PROVIDED BY THE AUTHOR "AS IS" AND ANY EXPRESS OR IMPLIED
# WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
# MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO
# EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
PRGNAM=pandas
VERSION=${VERSION:-0.13.1}
BUILD=${BUILD:-1}
TAG=${TAG:-_SBo}
if [ -z "$ARCH" ]; then
case "$( uname -m )" in
i?86) ARCH=i486 ;;
arm*) ARCH=arm ;;
*) ARCH=$( uname -m ) ;;
esac
fi
CWD=$(pwd)
TMP=${TMP:-/tmp/SBo}
PKG=$TMP/package-$PRGNAM
OUTPUT=${OUTPUT:-/tmp}
if [ "$ARCH" = "i486" ]; then
SLKCFLAGS="-O2 -march=i486 -mtune=i686"
LIBDIRSUFFIX=""
elif [ "$ARCH" = "i686" ]; then
SLKCFLAGS="-O2 -march=i686 -mtune=i686"
LIBDIRSUFFIX=""
elif [ "$ARCH" = "x86_64" ]; then
SLKCFLAGS="-O2 -fPIC"
LIBDIRSUFFIX="64"
else
SLKCFLAGS="-O2"
LIBDIRSUFFIX=""
fi
set -e
rm -rf $PKG
mkdir -p $TMP $PKG $OUTPUT
cd $TMP
rm -rf $PRGNAM-$VERSION
tar xvf $CWD/$PRGNAM-$VERSION.tar.gz
cd $PRGNAM-$VERSION
chown -R root:root .
find -L . \
\( -perm 777 -o -perm 775 -o -perm 750 -o -perm 711 -o -perm 555 \
-o -perm 511 \) -exec chmod 755 {} \; -o \
\( -perm 666 -o -perm 664 -o -perm 640 -o -perm 600 -o -perm 444 \
-o -perm 440 -o -perm 400 \) -exec chmod 644 {} \;
python setup.py install --root=$PKG
find $PKG -print0 | xargs -0 file | grep -e "executable" -e "shared object" | grep ELF \
| cut -f 1 -d : | xargs strip --strip-unneeded 2> /dev/null || true
mkdir -p $PKG/usr/doc/$PRGNAM-$VERSION
cp -a LICENSE PKG-INFO RELEASE.md $PKG/usr/doc/$PRGNAM-$VERSION
cat $CWD/$PRGNAM.SlackBuild > $PKG/usr/doc/$PRGNAM-$VERSION/$PRGNAM.SlackBuild
mkdir -p $PKG/install
cat $CWD/slack-desc > $PKG/install/slack-desc
cd $PKG
/sbin/makepkg -l y -c n $OUTPUT/$PRGNAM-$VERSION-$ARCH-$BUILD$TAG.${PKGTYPE:-tgz}

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PRGNAM="pandas"
VERSION="0.13.1"
HOMEPAGE="http://pandas.pydata.org"
DOWNLOAD="https://pypi.python.org/packages/source/p/pandas/pandas-0.13.1.tar.gz"
MD5SUM="066ed95adc940cb7f1d5ec6e019c468b"
DOWNLOAD_x86_64=""
MD5SUM_x86_64=""
REQUIRES="numpy python-dateutil pytz %README%"
MAINTAINER="Dimitris Zlatanidis"
EMAIL="d.zlatanidis@gmail.com"

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# HOW TO EDIT THIS FILE:
# The "handy ruler" below makes it easier to edit a package description.
# Line up the first '|' above the ':' following the base package name, and
# the '|' on the right side marks the last column you can put a character in.
# You must make exactly 11 lines for the formatting to be correct. It's also
# customary to leave one space after the ':' except on otherwise blank lines.
|-----handy-ruler------------------------------------------------------|
pandas: pandas (Powerful data structures)
pandas:
pandas: Pandas is a Python package providing fast, flexible, and expressive
pandas: data structures designed to make working with structured (tabular,
pandas: multidimensional, potentially heterogeneous) and time series data
pandas: both easy and intuitive.
pandas:
pandas: Homepage: http://pandas.pydata.org
pandas:
pandas:
pandas: