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[pkgsrc/trunk]: pkgsrc/graphics Seaborn is a library for making attractive an...



details:   https://anonhg.NetBSD.org/pkgsrc/rev/33eed682a471
branches:  trunk
changeset: 365363:33eed682a471
user:      adam <adam%pkgsrc.org@localhost>
date:      Fri Jul 14 15:00:01 2017 +0000

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.

Some of the features that seaborn offers are
* Several built-in themes that improve on the default matplotlib aesthetics
* Tools for choosing color palettes to make beautiful plots that reveal
   patterns in your data
* Functions for visualizing univariate and bivariate distributions or for
  comparing them between subsets of data
* Tools that fit and visualize linear regression models for different kinds
  of independent and dependent variables
* Functions that visualize matrices of data and use clustering algorithms to
  discover structure in those matrices
* A function to plot statistical timeseries data with flexible estimation and
  representation of uncertainty around the estimate
* High-level abstractions for structuring grids of plots that let you easily
  build complex visualizations

diffstat:

 graphics/Makefile            |    3 +-
 graphics/py-seaborn/DESCR    |   19 ++++++++
 graphics/py-seaborn/Makefile |   21 ++++++++
 graphics/py-seaborn/PLIST    |  101 +++++++++++++++++++++++++++++++++++++++++++
 graphics/py-seaborn/distinfo |    6 ++
 5 files changed, 149 insertions(+), 1 deletions(-)

diffs (180 lines):

diff -r 97dd00732957 -r 33eed682a471 graphics/Makefile
--- a/graphics/Makefile Fri Jul 14 13:22:07 2017 +0000
+++ b/graphics/Makefile Fri Jul 14 15:00:01 2017 +0000
@@ -1,4 +1,4 @@
-# $NetBSD: Makefile,v 1.765 2017/06/24 00:11:25 markd Exp $
+# $NetBSD: Makefile,v 1.766 2017/07/14 15:00:01 adam Exp $
 #
 
 COMMENT=       Graphics tools and libraries
@@ -462,6 +462,7 @@
 SUBDIR+=       py-pycha
 SUBDIR+=       py-pygal
 SUBDIR+=       py-qrcode
+SUBDIR+=       py-seaborn
 SUBDIR+=       py-seqdiag
 SUBDIR+=       py-sk1libs
 SUBDIR+=       py-uniconvertor
diff -r 97dd00732957 -r 33eed682a471 graphics/py-seaborn/DESCR
--- /dev/null   Thu Jan 01 00:00:00 1970 +0000
+++ b/graphics/py-seaborn/DESCR Fri Jul 14 15:00:01 2017 +0000
@@ -0,0 +1,19 @@
+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.
+
+Some of the features that seaborn offers are
+* Several built-in themes that improve on the default matplotlib aesthetics
+* Tools for choosing color palettes to make beautiful plots that reveal
+   patterns in your data
+* Functions for visualizing univariate and bivariate distributions or for
+  comparing them between subsets of data
+* Tools that fit and visualize linear regression models for different kinds
+  of independent and dependent variables
+* Functions that visualize matrices of data and use clustering algorithms to
+  discover structure in those matrices
+* A function to plot statistical timeseries data with flexible estimation and
+  representation of uncertainty around the estimate
+* High-level abstractions for structuring grids of plots that let you easily
+  build complex visualizations
diff -r 97dd00732957 -r 33eed682a471 graphics/py-seaborn/Makefile
--- /dev/null   Thu Jan 01 00:00:00 1970 +0000
+++ b/graphics/py-seaborn/Makefile      Fri Jul 14 15:00:01 2017 +0000
@@ -0,0 +1,21 @@
+# $NetBSD: Makefile,v 1.1 2017/07/14 15:00:01 adam Exp $
+
+DISTNAME=      seaborn-0.8
+PKGNAME=       ${PYPKGPREFIX}-${DISTNAME}
+CATEGORIES=    graphics python
+MASTER_SITES=  ${MASTER_SITE_PYPI:=s/seaborn/}
+
+MAINTAINER=    pkgsrc-users%NetBSD.org@localhost
+HOMEPAGE=      http://seaborn.pydata.org/
+COMMENT=       Statistical data visualization
+LICENSE=       modified-bsd
+
+DEPENDS+=      ${PYPKGPREFIX}-pandas>=0.12.0:../../math/py-pandas
+DEPENDS+=      ${PYPKGPREFIX}-scipy>=0.12.0:../../math/py-scipy
+
+USE_LANGUAGES=         # none
+
+.include "../../graphics/py-matplotlib/buildlink3.mk"
+.include "../../lang/python/egg.mk"
+.include "../../math/py-numpy/buildlink3.mk"
+.include "../../mk/bsd.pkg.mk"
diff -r 97dd00732957 -r 33eed682a471 graphics/py-seaborn/PLIST
--- /dev/null   Thu Jan 01 00:00:00 1970 +0000
+++ b/graphics/py-seaborn/PLIST Fri Jul 14 15:00:01 2017 +0000
@@ -0,0 +1,101 @@
+@comment $NetBSD: PLIST,v 1.1 2017/07/14 15:00:01 adam Exp $
+${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
+${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
+${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
+${PYSITELIB}/${EGG_INFODIR}/top_level.txt
+${PYSITELIB}/seaborn/__init__.py
+${PYSITELIB}/seaborn/__init__.pyc
+${PYSITELIB}/seaborn/__init__.pyo
+${PYSITELIB}/seaborn/algorithms.py
+${PYSITELIB}/seaborn/algorithms.pyc
+${PYSITELIB}/seaborn/algorithms.pyo
+${PYSITELIB}/seaborn/apionly.py
+${PYSITELIB}/seaborn/apionly.pyc
+${PYSITELIB}/seaborn/apionly.pyo
+${PYSITELIB}/seaborn/axisgrid.py
+${PYSITELIB}/seaborn/axisgrid.pyc
+${PYSITELIB}/seaborn/axisgrid.pyo
+${PYSITELIB}/seaborn/categorical.py
+${PYSITELIB}/seaborn/categorical.pyc
+${PYSITELIB}/seaborn/categorical.pyo
+${PYSITELIB}/seaborn/cm.py
+${PYSITELIB}/seaborn/cm.pyc
+${PYSITELIB}/seaborn/cm.pyo
+${PYSITELIB}/seaborn/crayons.py
+${PYSITELIB}/seaborn/crayons.pyc
+${PYSITELIB}/seaborn/crayons.pyo
+${PYSITELIB}/seaborn/distributions.py
+${PYSITELIB}/seaborn/distributions.pyc
+${PYSITELIB}/seaborn/distributions.pyo
+${PYSITELIB}/seaborn/external/__init__.py
+${PYSITELIB}/seaborn/external/__init__.pyc
+${PYSITELIB}/seaborn/external/__init__.pyo
+${PYSITELIB}/seaborn/external/husl.py
+${PYSITELIB}/seaborn/external/husl.pyc
+${PYSITELIB}/seaborn/external/husl.pyo
+${PYSITELIB}/seaborn/external/six.py
+${PYSITELIB}/seaborn/external/six.pyc
+${PYSITELIB}/seaborn/external/six.pyo
+${PYSITELIB}/seaborn/linearmodels.py
+${PYSITELIB}/seaborn/linearmodels.pyc
+${PYSITELIB}/seaborn/linearmodels.pyo
+${PYSITELIB}/seaborn/matrix.py
+${PYSITELIB}/seaborn/matrix.pyc
+${PYSITELIB}/seaborn/matrix.pyo
+${PYSITELIB}/seaborn/miscplot.py
+${PYSITELIB}/seaborn/miscplot.pyc
+${PYSITELIB}/seaborn/miscplot.pyo
+${PYSITELIB}/seaborn/palettes.py
+${PYSITELIB}/seaborn/palettes.pyc
+${PYSITELIB}/seaborn/palettes.pyo
+${PYSITELIB}/seaborn/rcmod.py
+${PYSITELIB}/seaborn/rcmod.pyc
+${PYSITELIB}/seaborn/rcmod.pyo
+${PYSITELIB}/seaborn/regression.py
+${PYSITELIB}/seaborn/regression.pyc
+${PYSITELIB}/seaborn/regression.pyo
+${PYSITELIB}/seaborn/tests/__init__.py
+${PYSITELIB}/seaborn/tests/__init__.pyc
+${PYSITELIB}/seaborn/tests/__init__.pyo
+${PYSITELIB}/seaborn/tests/test_algorithms.py
+${PYSITELIB}/seaborn/tests/test_algorithms.pyc
+${PYSITELIB}/seaborn/tests/test_algorithms.pyo
+${PYSITELIB}/seaborn/tests/test_axisgrid.py
+${PYSITELIB}/seaborn/tests/test_axisgrid.pyc
+${PYSITELIB}/seaborn/tests/test_axisgrid.pyo
+${PYSITELIB}/seaborn/tests/test_categorical.py
+${PYSITELIB}/seaborn/tests/test_categorical.pyc
+${PYSITELIB}/seaborn/tests/test_categorical.pyo
+${PYSITELIB}/seaborn/tests/test_distributions.py
+${PYSITELIB}/seaborn/tests/test_distributions.pyc
+${PYSITELIB}/seaborn/tests/test_distributions.pyo
+${PYSITELIB}/seaborn/tests/test_matrix.py
+${PYSITELIB}/seaborn/tests/test_matrix.pyc
+${PYSITELIB}/seaborn/tests/test_matrix.pyo
+${PYSITELIB}/seaborn/tests/test_miscplot.py
+${PYSITELIB}/seaborn/tests/test_miscplot.pyc
+${PYSITELIB}/seaborn/tests/test_miscplot.pyo
+${PYSITELIB}/seaborn/tests/test_palettes.py
+${PYSITELIB}/seaborn/tests/test_palettes.pyc
+${PYSITELIB}/seaborn/tests/test_palettes.pyo
+${PYSITELIB}/seaborn/tests/test_rcmod.py
+${PYSITELIB}/seaborn/tests/test_rcmod.pyc
+${PYSITELIB}/seaborn/tests/test_rcmod.pyo
+${PYSITELIB}/seaborn/tests/test_regression.py
+${PYSITELIB}/seaborn/tests/test_regression.pyc
+${PYSITELIB}/seaborn/tests/test_regression.pyo
+${PYSITELIB}/seaborn/tests/test_utils.py
+${PYSITELIB}/seaborn/tests/test_utils.pyc
+${PYSITELIB}/seaborn/tests/test_utils.pyo
+${PYSITELIB}/seaborn/timeseries.py
+${PYSITELIB}/seaborn/timeseries.pyc
+${PYSITELIB}/seaborn/timeseries.pyo
+${PYSITELIB}/seaborn/utils.py
+${PYSITELIB}/seaborn/utils.pyc
+${PYSITELIB}/seaborn/utils.pyo
+${PYSITELIB}/seaborn/widgets.py
+${PYSITELIB}/seaborn/widgets.pyc
+${PYSITELIB}/seaborn/widgets.pyo
+${PYSITELIB}/seaborn/xkcd_rgb.py
+${PYSITELIB}/seaborn/xkcd_rgb.pyc
+${PYSITELIB}/seaborn/xkcd_rgb.pyo
diff -r 97dd00732957 -r 33eed682a471 graphics/py-seaborn/distinfo
--- /dev/null   Thu Jan 01 00:00:00 1970 +0000
+++ b/graphics/py-seaborn/distinfo      Fri Jul 14 15:00:01 2017 +0000
@@ -0,0 +1,6 @@
+$NetBSD: distinfo,v 1.1 2017/07/14 15:00:01 adam Exp $
+
+SHA1 (seaborn-0.8.tar.gz) = db50e9c5171270650f7c302356d5b6c5c120e1df
+RMD160 (seaborn-0.8.tar.gz) = ba255e32a65441710edb6cd6c1223d36ed499e1b
+SHA512 (seaborn-0.8.tar.gz) = 2bc1f20a9fe1bdba946351580a238c7376623d921884f5bdc522f844727413020d22614670e6c9588baac1c554f4242b1f34a0da3347135bc23791066fdc47d1
+Size (seaborn-0.8.tar.gz) = 178077 bytes



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