Bug#742573: ITP: seaborn -- Python statistical visualization library
Hi Yaroslav,
since I assume you will maintain this package in Debian Science team I'm
forwarding this to its list. It would be great if ITPs concerning
Debian Science would be add the science list right in reportbug since
this would save my time in browsing the ITP list from time to time which
I'm doing for the sake of trying to hunt down candidates for the Debian
Science tasks since usually maintainers forget to add their packages to
the tasks. :-(
Kind regards
Andreas.
On Mon, Mar 24, 2014 at 11:29:39PM -0400, Yaroslav Halchenko wrote:
> Package: wnpp
> Severity: wishlist
> Owner: Yaroslav Halchenko <debian@onerussian.com>
>
> * Package name : seaborn
> Version : 0.3.0
> Upstream Author : Michael Waskom <mwaskom@stanford.edu>
> * URL : http://stanford.edu/~mwaskom/software/seaborn/
> * License : MIT/X
> Programming Lang: Python
> Description : Python statistical visualization library
>
> 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
>
>
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