# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim: fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4
categories-append science
maintainers stromnov openmaintainer
description Statistical data visualization library
long_description Seaborn is a library for making attractive and \
informative statistical graphics in Python. It is \
built on top of matplotlib and tightly integrated \
with the PyData stack, including support for numpy \
and pandas data structures and statistical routines \
from scipy and statsmodels.
homepage http://stanford.edu/~mwaskom/software/seaborn/
master_sites https://pypi.python.org/packages/source/s/seaborn/
distname seaborn-${version}
checksums rmd160 d6142f677e98daaee39ae198a48841a5a521ab6a \
sha256 e078399b56ed0d53a4aa8bd4d6bd4a9a9deebc0b4acad259d0ef81830affdb68
if {${name} ne ${subport}} {
port:py${python.version}-setuptools
depends_lib-append port:py${python.version}-numpy \
port:py${python.version}-scipy \
port:py${python.version}-matplotlib \
port:py${python.version}-pandas \
port:py${python.version}-statsmodels \
port:py${python.version}-patsy
livecheck.url https://pypi.python.org/pypi/seaborn/json
livecheck.regex {seaborn-(\d+(?:\.\d+)*)\.[tz]}