[ 原始碼： seaborn ]
套件：python3-seaborn（0.11.1-1）
python3-seaborn 的相關連結
Debian 的資源：
下載原始碼套件 seaborn：
維護小組：
- Debian Science Maintainers (QA 頁面, 郵件存檔)
- Yaroslav Halchenko (QA 頁面)
- Michael Hanke (QA 頁面)
- Nilesh Patra (QA 頁面)
外部的資源：
- 主頁 [github.com]
相似套件：
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.
其他與 python3-seaborn 有關的套件
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
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- dep: python3-matplotlib
- Python based plotting system in a style similar to Matlab (Python 3)
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- dep: python3-numpy
- Fast array facility to the Python 3 language
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- dep: python3-pandas
- data structures for "relational" or "labeled" data
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- dep: python3-scipy
- scientific tools for Python 3
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- dep: python3-tk
- Tkinter - Writing Tk applications with Python 3.x
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- rec: python3-bs4
- error-tolerant HTML parser for Python 3
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- rec: python3-patsy
- statistical models in Python using symbolic formulas