How to Install and Uninstall python3-seaborn Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 26,2024

1. Install "python3-seaborn" package

Please follow the guidance below to install python3-seaborn on Ubuntu 21.10 (Impish Indri)


    
        
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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 instructions below to uninstall python3-seaborn on Ubuntu 21.10 (Impish Indri):


    
        
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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 21.10 (Impish Indri)

Package: python3-seaborn
Architecture: all
Version: 0.11.1-1
Priority: optional
Section: universe/python
Source: seaborn
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1229
Depends: python3-matplotlib, python3-numpy, python3-pandas, python3-scipy, python3:any, python3-tk
Recommends: python3-patsy, python3-bs4
Filename: pool/universe/s/seaborn/python3-seaborn_0.11.1-1_all.deb
Size: 205760
MD5sum: e1895e1be0c3319d32d0c131aa9eb6f0
SHA1: 22a01f183ea134f7f7e9a89d595bf125390f1c1b
SHA256: fffc71e019c2b68d90e40c818e6ccea1be365a50f1c592c782aacaee8fa3d7b3
SHA512: 859a1f2aeb77f0f3b13a153e635542805553c2075676d8530b4f7e64416a07ed22dd1fe2b376b65a607bc39249ad3ad186e915b818d99ae575e245072571d27f
Homepage: https://github.com/mwaskom/seaborn
Description-en: 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.
Description-md5: 40f8747d7893678c82ee42faf718a698