How to Install and Uninstall python3-seaborn Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 22,2024

1. Install "python3-seaborn" package

In this section, we are going to explain the necessary steps to install python3-seaborn on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-seaborn
            
                    
    
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2. Uninstall "python3-seaborn" package

Please follow the guidance below to uninstall python3-seaborn on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python3-seaborn
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-seaborn package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python3-seaborn
Priority: optional
Section: universe/python
Installed-Size: 719
Maintainer: Ubuntu Developers
Original-Maintainer: NeuroDebian Team
Architecture: all
Source: seaborn
Version: 0.6.0-1
Depends: python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-pandas, python3-matplotlib
Recommends: python3-patsy
Filename: pool/universe/s/seaborn/python3-seaborn_0.6.0-1_all.deb
Size: 118066
MD5sum: d0e96d1ea661b234f74f3e859692d9e1
SHA1: a05fe5285e571a33079ad03d595890cb3bf7b5e0
SHA256: ba9f7e24e4c3228aa96bf0201f03bbf16911e79a7149e31cb561abf424680856
Description-en: 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
.
This is the Python 3 version of the package.
Description-md5: 31a63c11cfdcc9ac165856af92c17bb9
Homepage: https://github.com/mwaskom/seaborn
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu