[ 源代码： seaborn ]
软件包：python3-seaborn（0.13.2-3）
python3-seaborn 的相关链接
Debian 的资源：
下载源码包 seaborn：
维护小组：
- Debian Science Maintainers (QA 页面, 邮件存档)
- Yaroslav Halchenko (QA 页面)
- Michael Hanke (QA 页面)
- Nilesh Patra (QA 页面)
外部的资源：
- 主页 [github.com]
相似软件包：
statistical visualization library for Python3
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
This is the Python 3 version of the package.
其他与 python3-seaborn 有关的软件包
|
|
|
|
-
- dep: python3
- 交互式高级面向对象语言（默认 python3 版本）
-
- dep: python3-matplotlib
- Python based plotting system in a style similar to Matlab (Python 3)
-
- dep: python3-numpy
- Fast array facility to the Python language (Python 3)
-
- dep: python3-pandas
- data structures for "relational" or "labeled" data
-
- dep: python3-scipy
- scientific tools for Python 3
-
- rec: python3-bs4
- error-tolerant HTML parser for Python 3
-
- rec: python3-patsy
- statistical models in Python using symbolic formulas
-
- rec: python3-tk
- Tkinter - Writing Tk applications with Python 3.x