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mirror of https://git.FreeBSD.org/ports.git synced 2024-11-23 00:43:28 +00:00

Toyplot is a kid-sized plotting toolkit for Python with grownup-sized goals:

* Develop beautiful interactive, animated plots that embrace the unique
  capabilities of electronic publishing and support repoducibility.
* Create the best possible data graphics out-of-the-box, maximizing data ink
  and minimizing chartjunk.
* Provide a clean, minimalist interface that scientists and engineers will
  love.

WWW: https://pypi.python.org/pypi/toyplot
This commit is contained in:
Steven Kreuzer 2015-07-15 19:24:51 +00:00
parent d55f214d30
commit c6ffeeb6e3
Notes: svn2git 2021-03-31 03:12:20 +00:00
svn path=/head/; revision=392201
4 changed files with 35 additions and 0 deletions

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@ -860,6 +860,7 @@
SUBDIR += py-sorl-thumbnail
SUBDIR += py-soya3d
SUBDIR += py-stltools
SUBDIR += py-toyplot
SUBDIR += py-wand
SUBDIR += py-webcolors
SUBDIR += py3-cairo

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# Created by: Steven Kreuzer <skreuzer@FreeBSD.org>
# $FreeBSD$
PORTNAME= toyplot
PORTVERSION= 0.6.0
CATEGORIES= graphics python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= skreuzer@FreeBSD.org
COMMENT= Modern plotting toolkit supporting electronic publishing
LICENSE= BSD3CLAUSE
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}numpy>=1.7:${PORTSDIR}/math/py-numpy \
${PYTHON_PKGNAMEPREFIX}colormath>=2.1.1:${PORTSDIR}/math/py-colormath \
${PYTHON_PKGNAMEPREFIX}multipledispatch>=0.4.7:${PORTSDIR}/devel/py-multipledispatch
USES= python
USE_PYTHON= autoplist distutils
.include <bsd.port.mk>

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SHA256 (toyplot-0.6.0.tar.gz) = e7e562f9c202c84d52f9be9f23568f9938f8e0334e15637c964e14f7f82bf6f9
SIZE (toyplot-0.6.0.tar.gz) = 68113

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Toyplot is a kid-sized plotting toolkit for Python with grownup-sized goals:
* Develop beautiful interactive, animated plots that embrace the unique
capabilities of electronic publishing and support repoducibility.
* Create the best possible data graphics out-of-the-box, maximizing data ink
and minimizing chartjunk.
* Provide a clean, minimalist interface that scientists and engineers will
love.
WWW: https://pypi.python.org/pypi/toyplot