-
Notifications
You must be signed in to change notification settings - Fork 1.9k
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
3 changed files
with
19 additions
and
4 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -8,4 +8,4 @@ | |
from .axisgrid import * | ||
set() | ||
|
||
__version__ = "0.3" | ||
__version__ = "0.3.1" |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -3,13 +3,26 @@ | |
# Copyright (C) 2012-2014 Michael Waskom <[email protected]> | ||
|
||
DESCRIPTION = "Seaborn: statistical data visualization" | ||
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. | ||
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 | ||
- 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 | ||
""" | ||
|
||
DISTNAME = 'seaborn' | ||
MAINTAINER = 'Michael Waskom' | ||
MAINTAINER_EMAIL = '[email protected]' | ||
URL = 'http://stanford.edu/~mwaskom/software/seaborn/' | ||
LICENSE = 'BSD (3-clause)' | ||
DOWNLOAD_URL = 'https://github.com/mwaskom/seaborn/' | ||
VERSION = '0.3' | ||
VERSION = '0.3.1' | ||
|
||
from setuptools import setup | ||
|
||
|
@@ -22,6 +35,7 @@ | |
maintainer=MAINTAINER, | ||
maintainer_email=MAINTAINER_EMAIL, | ||
description=DESCRIPTION, | ||
long_description=LONG_DESCRIPTION, | ||
license=LICENSE, | ||
url=URL, | ||
version=VERSION, | ||
|
@@ -31,6 +45,7 @@ | |
'Intended Audience :: Science/Research', | ||
'Programming Language :: Python :: 2.7', | ||
'Programming Language :: Python :: 3.3', | ||
'Programming Language :: Python :: 3.4', | ||
'License :: OSI Approved :: BSD License', | ||
'Topic :: Scientific/Engineering :: Visualization', | ||
'Topic :: Multimedia :: Graphics', | ||
|